Energy demand and thermal comfort of HVAC systems with thermally activated building systems as a function of user profile

NASA Astrophysics Data System (ADS)

Pałaszyńska, Katarzyna; Bandurski, Karol; Porowski, Mieczysław

2017-11-01

Thermally Activated Building Systems (TABS) are a way to use building structure as a thermal energy storage. As a result, renewable energy sources may be used more efficiently. The paper presents numerical analysis of a HVAC system with TABS energy demand and indoor thermal comfort of a representative room in a non-residential building (governmental, commercial, educational). The purpose of analysis is to investigate the influence of a user profile on system performance. The time span of the analysis is one year - a typical meteorological year. The model was prepared using a generally accepted simulation tool - TRNSYS 17. The results help to better understand the interaction of a user profile with TABS. Therefore they are important for the development of optimal control algorithms for energy efficient buildings equipped with such systems.

Residential demand for energy. Volume 1: Residential energy demand in the US

NASA Astrophysics Data System (ADS)

Taylor, L. D.; Blattenberger, G. R.; Rennhack, R. K.

1982-04-01

Updated and improved versions of the residential energy demand models that are currently used in EPRI's Demand 80/81 Model are presented. The primary objective of the study is the development and estimation of econometric demand models that take into account in a theoretically appropriate way the problems caused by decreasing-block pricing in the sale of electricity and natural gas. An ancillary objective is to take into account the impact on electricity, natural gas, and fuel oil demands of differences and changes in the availability of natural gas. Econometric models of residential demand are estimated for all three fuel tyes using time series data by state. Price and income elasticities for a number of alternative models are presented.

Energy and resource consumption

NASA Technical Reports Server (NTRS)

1973-01-01

The present and projected energy requirements for the United States are discussed. The energy consumption and demand sectors are divided into the categories: residential and commercial, transportation, and industrial and electrical generation (utilities). All sectors except electrical generation use varying amounts of fossile fuel resources for non-energy purposes. The highest percentage of non-energy use by sector is industrial with 71.3 percent. The household and commercial sector uses 28.4 percent, and transportation about 0.3 percent. Graphs are developed to project fossil fuel demands for non-energy purposes and the perdentage of the total fossil fuel used for non-energy needs.

Impact of Alternative Rate Structures on Distributed Solar Customer Electricity Bills

DOE Office of Scientific and Technical Information (OSTI.GOV)

McLaren, Joyce A

Electric utilities are increasingly proposing changes to residential rate structures, in order to address concerns about their inability to recover fixed system costs from customers with grid connected distributed generation. The most common proposals have been to increase fixed charges, set minimum bills or instigate residential demand charges. This presentation provides results of an analysis to explore how these rate design alternatives impact electricity bills for PV and non-PV customers.

Price impact on urban residential water demand: A dynamic panel data approach

NASA Astrophysics Data System (ADS)

ArbuéS, Fernando; BarberáN, Ramón; Villanúa, Inmaculada

2004-11-01

In this paper, we formulate and estimate a model of residential water demand with the aim of evaluating the potential of pricing policies as a mechanism for managing residential water. The proposed econometric model offers a new perspective on urban water demand analysis by combining microlevel data with a dynamic panel data estimation procedure. The empirical application suggests that residential users are more responsive to a lagged average price specification. Another result of the estimated model is that price is a moderately effective tool in reducing residential water demand within the present range of prices, with the estimated values for income elasticity and "elasticity of consumption with respect to family size" reinforcing this conclusion.

University Life of Non-Traditional Students: Engagement Styles and Impact on Attrition

ERIC Educational Resources Information Center

Gilardi, Silvia; Guglielmetti, Chiara

2011-01-01

Many surveys show that the non-traditional students present a higher risk of dropping out (National Audit Office, 2007; Provasnik & Planty, 2008). Nevertheless, empirical research that tries to understand this phenomenon, also in light of different institutional contexts (e.g. four years or two years, residential or non-residential) and of the…

Energy efficiency to reduce residential electricity and natural gas use under climate change.

PubMed

Reyna, Janet L; Chester, Mikhail V

2017-05-15

Climate change could significantly affect consumer demand for energy in buildings, as changing temperatures may alter heating and cooling loads. Warming climates could also lead to the increased adoption and use of cooling technologies in buildings. We assess residential electricity and natural gas demand in Los Angeles, California under multiple climate change projections and investigate the potential for energy efficiency to offset increased demand. We calibrate residential energy use against metered data, accounting for differences in building materials and appliances. Under temperature increases, we find that without policy intervention, residential electricity demand could increase by as much as 41-87% between 2020 and 2060. However, aggressive policies aimed at upgrading heating/cooling systems and appliances could result in electricity use increases as low as 28%, potentially avoiding the installation of new generation capacity. We therefore recommend aggressive energy efficiency, in combination with low-carbon generation sources, to offset projected increases in residential energy demand.

Energy efficiency to reduce residential electricity and natural gas use under climate change

NASA Astrophysics Data System (ADS)

Reyna, Janet L.; Chester, Mikhail V.

2017-05-01

Climate change could significantly affect consumer demand for energy in buildings, as changing temperatures may alter heating and cooling loads. Warming climates could also lead to the increased adoption and use of cooling technologies in buildings. We assess residential electricity and natural gas demand in Los Angeles, California under multiple climate change projections and investigate the potential for energy efficiency to offset increased demand. We calibrate residential energy use against metered data, accounting for differences in building materials and appliances. Under temperature increases, we find that without policy intervention, residential electricity demand could increase by as much as 41-87% between 2020 and 2060. However, aggressive policies aimed at upgrading heating/cooling systems and appliances could result in electricity use increases as low as 28%, potentially avoiding the installation of new generation capacity. We therefore recommend aggressive energy efficiency, in combination with low-carbon generation sources, to offset projected increases in residential energy demand.

The effects of climate change on the demand for municipal water for residential landscaping in Southern Nevada

NASA Astrophysics Data System (ADS)

Tchigriaeva, E.; Lott, C.; Rollins, K.

2013-12-01

We analyze urban residential water demand for Southern Nevada as a part of the Nevada Infrastructure for Climate Change Science, Education, and Outreach project. The Nevada Climate Change project is a statewide interdisciplinary program which has launched joint research, education, and outreach on the effects of regional climate change on ecosystem services in Nevada with a particular focus on water resources. We estimate a random effect multiple regression model of urban residential water demand in order to better understand how residential water use is impacted by weather conditions and landscape characteristics and ultimately to inform predictions of urban water demand. The project develops a methodology of unification for several datasets from various sources including the Las Vegas Valley Water District (LVVWD), the Southern Nevada Water Authority (SNWA), Clark County Assessor, and the National Climatic Data Center (NCDC) resulting in a sample of 3,671,983 observations for 62,237 households with uninterrupted water use history for Las Vegas urban residents for the period from February 2007 to December 2011. The presented results (i) are significantly robust and in accordance with the economics theories, (ii) support basic empirical knowledge of weather and surface influence on water outdoor consumption, (iii) suggest quantitative measurements for predicting future water use due to climate/temperature changes as well as landscape redesign practices, and (iv) provide quantitative evaluation of the effectiveness of the existing water conservation programs by the Southern Nevada Water Authority (SNWA). The further study of conservation programs and analysis of interactions between surfaces and weather using the developed approach looks promising.

Disaggregating residential water demand for improved forecasts and decision making

NASA Astrophysics Data System (ADS)

Woodard, G.; Brookshire, D.; Chermak, J.; Krause, K.; Roach, J.; Stewart, S.; Tidwell, V.

2003-04-01

Residential water demand is the product of population and per capita demand. Estimates of per capita demand often are based on econometric models of demand, usually based on time series data of demand aggregated at the water provider level. Various studies have examined the impact of such factors as water pricing, weather, and income, with many other factors and details of water demand remaining unclear. Impacts of water conservation programs often are estimated using simplistic engineering calculations. Partly as a result of this, policy discussions regarding water demand management often focus on water pricing, water conservation, and growth control. Projecting water demand is often a straight-forward, if fairly uncertain process of forecasting population and per capita demand rates. SAHRA researchers are developing improved forecasts of residential water demand by disaggregating demand to the level of individuals, households, and specific water uses. Research results based on high-resolution water meter loggers, household-level surveys, economic experiments and recent census data suggest that changes in wealth, household composition, and individual behavior may affect demand more than changes in population or the stock of landscape plants, water-using appliances and fixtures, generally considered the primary determinants of demand. Aging populations and lower fertility rates are dramatically reducing household size, thereby increasing the number of households and residences for a given population. Recent prosperity and low interest rates have raised home ownership rates to unprecented levels. These two trends are leading to increased per capita outdoor water demand. Conservation programs have succeeded in certain areas, such as promoting drought-tolerant native landscaping, but have failed in other areas, such as increasing irrigation efficiency or curbing swimming pool water usage. Individual behavior often is more important than the household's stock of water-using fixtures, and ranges from hedonism (installing pools and whirlpool tubs) to satisficing (adjusting irrigation timers only twice per year) to acting on deeply-held conservation ethics in ways that not only fail any benefit-cost test, but are discouraged, or even illegal (reuse of gray water and black water). Research findings are being captured in dynamic simulation models that integrate social and natural science to create tools to assist water resource managers in providing sustainable water supplies and improving residential water demand forecasts. These models feature simple, graphical user interfaces and output screens that provide decision makers with visual, easy-to-understand information at the basin level. The models reveal connections between various supply and demand components, and highlight direct impacts and feedback mechanisms associated with various policy options.

The Value of Advanced Smart Metering in the Management of Urban Water Supply Services

NASA Astrophysics Data System (ADS)

Guardiola, J.; Pulido-Velazquez, M.; Giuliani, M.; Castelletti, A.; Cominola, A.; Arregui de la Cruz, F.; Escriva-Bou, A.; Soriano, J.; Pérez, J. J.; Castillo, J.; Barba, J.; González, V.; Rizzoli, A. E.

2016-12-01

This work intends to outline the experience of the implementation and further exploitation of an extensive network of smart meters (SM) in the city of Valencia by Aguas de Valencia, the water utility that offers water supply and sanitation services to the city of Valencia and its metropolitan area. Valencia has become the first large city in Europe fully equipped with a point-to-point fixed network of SM (currently with more than 430,000 units, about 90% of the meters of the city). The shift towards a water supply management system based on SM is a complex process that entails changes and impacts on different management areas of the water supply organization. A new data management and processing platform has been developed and is already proving notable benefits in the operation of the system. For example, a tool allows to automatically issue and manage work orders when abnormalities such as internal leaks (constant consumption) or meter alarms are detected. Another tool has been developed to reduce levels of non-revenue water by continuously balancing supply and demand in district metered areas. Improving leak detection and adjusting pressure levels has significantly increased the efficiency of the water distribution network. Finally, a service of post-meter leak detection has been also implemented. But the SM also contribute to improve demand management. The customers now receive detailed information on their water consumption, valuable for improving household water management and assessing the value of water conservation strategies. SM are also key tools for improving the level of understanding of demand patterns. Users have been categorized into different clusters depending in their consumption patterns characteristics. Within the EU SmartH2O project, a high resolution and frequency monitoring of residential uses has been conducted in a selected sample of households for a precise disaggregation of residential end-uses. The disaggregation of end-uses allows for a better characterization and modelling of residential water demand, and, ultimately, designing efficient user-oriented water management strategies.

Energy efficiency to reduce residential electricity and natural gas use under climate change

PubMed Central

Reyna, Janet L.; Chester, Mikhail V.

2017-01-01

Climate change could significantly affect consumer demand for energy in buildings, as changing temperatures may alter heating and cooling loads. Warming climates could also lead to the increased adoption and use of cooling technologies in buildings. We assess residential electricity and natural gas demand in Los Angeles, California under multiple climate change projections and investigate the potential for energy efficiency to offset increased demand. We calibrate residential energy use against metered data, accounting for differences in building materials and appliances. Under temperature increases, we find that without policy intervention, residential electricity demand could increase by as much as 41–87% between 2020 and 2060. However, aggressive policies aimed at upgrading heating/cooling systems and appliances could result in electricity use increases as low as 28%, potentially avoiding the installation of new generation capacity. We therefore recommend aggressive energy efficiency, in combination with low-carbon generation sources, to offset projected increases in residential energy demand. PMID:28504255

Moving from Outsider to Insider: Peer Status and Partnerships between Electricity Utilities and Residential Consumers

PubMed Central

Morris, Peter; Buys, Laurie; Vine, Desley

2014-01-01

An electricity demand reduction project based on comprehensive residential consumer engagement was established within an Australian community in 2008. By 2011, both the peak demand and grid supplied electricity consumption had decreased to below pre-intervention levels. This case study research explored the relationship developed between the utility, community and individual consumer from the residential customer perspective through qualitative research of 22 residential households. It is proposed that an energy utility can be highly successful at peak demand reduction by becoming a community member and a peer to residential consumers and developing the necessary trust, access, influence and partnership required to create the responsive environment to change. A peer-community approach could provide policymakers with a pathway for implementing pro-environmental behaviour for low carbon communities, as well as peak demand reduction, thereby addressing government emission targets while limiting the cost of living increases from infrastructure expenditure. PMID:24979234

Moving from outsider to insider: peer status and partnerships between electricity utilities and residential consumers.

PubMed

Morris, Peter; Buys, Laurie; Vine, Desley

2014-01-01

An electricity demand reduction project based on comprehensive residential consumer engagement was established within an Australian community in 2008. By 2011, both the peak demand and grid supplied electricity consumption had decreased to below pre-intervention levels. This case study research explored the relationship developed between the utility, community and individual consumer from the residential customer perspective through qualitative research of 22 residential households. It is proposed that an energy utility can be highly successful at peak demand reduction by becoming a community member and a peer to residential consumers and developing the necessary trust, access, influence and partnership required to create the responsive environment to change. A peer-community approach could provide policymakers with a pathway for implementing pro-environmental behaviour for low carbon communities, as well as peak demand reduction, thereby addressing government emission targets while limiting the cost of living increases from infrastructure expenditure.

Residential water demand model under block rate pricing: A case study of Beijing, China

NASA Astrophysics Data System (ADS)

Chen, H.; Yang, Z. F.

2009-05-01

In many cities, the inconsistency between water supply and water demand has become a critical problem because of deteriorating water shortage and increasing water demand. Uniform price of residential water cannot promote the efficient water allocation. In China, block water price will be put into practice in the future, but the outcome of such regulation measure is unpredictable without theory support. In this paper, the residential water is classified by the volume of water usage based on economic rules and block water is considered as different kinds of goods. A model based on extended linear expenditure system (ELES) is constructed to simulate the relationship between block water price and water demand, which provide theoretical support for the decision-makers. Finally, the proposed model is used to simulate residential water demand under block rate pricing in Beijing.

The Assessment of Climatological Impacts on Agricultural Production and Residential Energy Demand

NASA Astrophysics Data System (ADS)

Cooter, Ellen Jean

The assessment of climatological impacts on selected economic activities is presented as a multi-step, inter -disciplinary problem. The assessment process which is addressed explicitly in this report focuses on (1) user identification, (2) direct impact model selection, (3) methodological development, (4) product development and (5) product communication. Two user groups of major economic importance were selected for study; agriculture and gas utilities. The broad agricultural sector is further defined as U.S.A. corn production. The general category of utilities is narrowed to Oklahoma residential gas heating demand. The CERES physiological growth model was selected as the process model for corn production. The statistical analysis for corn production suggests that (1) although this is a statistically complex model, it can yield useful impact information, (2) as a result of output distributional biases, traditional statistical techniques are not adequate analytical tools, (3) the model yield distribution as a whole is probably non-Gausian, particularly in the tails and (4) there appears to be identifiable weekly patterns of forecasted yields throughout the growing season. Agricultural quantities developed include point yield impact estimates and distributional characteristics, geographic corn weather distributions, return period estimates, decision making criteria (confidence limits) and time series of indices. These products were communicated in economic terms through the use of a Bayesian decision example and an econometric model. The NBSLD energy load model was selected to represent residential gas heating consumption. A cursory statistical analysis suggests relationships among weather variables across the Oklahoma study sites. No linear trend in "technology -free" modeled energy demand or input weather variables which would correspond to that contained in observed state -level residential energy use was detected. It is suggested that this trend is largely the result of non-weather factors such as population and home usage patterns rather than regional climate change. Year-to-year changes in modeled residential heating demand on the order of 10('6) Btu's per household were determined and later related to state -level components of the Oklahoma economy. Products developed include the definition of regional forecast areas, likelihood estimates of extreme seasonal conditions and an energy/climate index. This information is communicated in economic terms through an input/output model which is used to estimate changes in Gross State Product and Household income attributable to weather variability.

A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cui, Xiaohui; Liu, Cheng; Kim, Hoe Kyoung

2011-01-01

The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level.more » It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering PHEV hot zones where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.« less

Impact of urban sprawl on United States residential energy use

NASA Astrophysics Data System (ADS)

Rong, Fang

Improving energy efficiency through technological advances has been the focus of U.S. energy policy for decades. However, there is evidence that technology alone will be neither sufficient nor timely enough to solve looming crises associated with fossil fuel dependence and resulting greenhouse gas accumulation. Hence attention is shifting to demand-side measures. While the impact of urban sprawl on transportation energy use has been studied to a degree, the impact of sprawl on non-transport residential energy use represents a new area of inquiry. This dissertation is the first study linking sprawl to residential energy use and provides empirical support for compact land-use developments, which, as a demand-side measure, might play an important role in achieving sustainable residential energy consumption. This dissertation develops an original conceptual framework linking urban sprawl to residential energy use through electricity transmission and distribution losses and two mediators, housing stock and formation of urban heat islands. These two mediators are the focuses of this dissertation. By tapping multiple databases and performing statistical and geographical spatial analyses, this dissertation finds that (1) big houses consume more energy than small ones and single-family detached housing consumes more energy than multifamily or single-family attached housing; (2) residents of sprawling metro areas are more likely to live in single-family detached rather than attached or multifamily housing and are also expected to live in big houses; (3) a compact metro area is expected to have stronger urban heat island effects; (4) nationwide, urban heat island phenomena bring about a small energy reward, due to less energy demand on space heating, while they impose an energy penalty in States with a hot climate like Texas, due to higher energy demand for cooling; and taken all these together, (5) residents of sprawling metro areas are expected to consume more energy at home than residents of compact metro areas. This dissertation concludes with the policy implications that emerged from this study and suggestions for future research as well.

Non-price competition in the regional high-rise construction market

NASA Astrophysics Data System (ADS)

Ganebnykh, Elena; Burtseva, Tatyana; Gurova, Ekaterina; Polyakova, Irina

2018-03-01

The article analyzes the market of high-rise residential construction in the city of Kirov (Russia). A minimal significance of price factors has been revealed in the process of the market analysis. This suggests that a lower price does not guarantee an increase in consumer demand. Thus, factors of non-price competition are of great importance in the market in question. The expert survey has identified the factors of non-price competition which influence consumer perceptions. A perceptual map has been constructed on the basis of the identified factors by means of the factor analysis to determine the positioning of each high-rise building relative to the consumer requirements. None of the high-rise residential buildings in the market in question meets the consumers' expectations of an "ideal facility".

Impact of Uncoordinated Plug-in Electric Vehicle Charging on Residential Power Demand

DOE Office of Scientific and Technical Information (OSTI.GOV)

Muratori, Matteo

Electrification of transport offers opportunities to increase energy security, reduce carbon emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new connections between the transportation and electric sectors, and PEV charging will create opportunities and challenges in a system of growing complexity. Here, I use highly resolved models of residential power demand and PEV use to assess the impact of uncoordinated in-home PEV charging on residential power demand. While the increase in aggregate demand might be minimal even for high levels of PEV adoption, uncoordinated PEV charging could significantly change the shape of the aggregate residential demand,more » with impacts for electricity infrastructure, even at low adoption levels. Clustering effects in vehicle adoption at the local level might lead to high PEV concentrations even if overall adoption remains low, significantly increasing peak demand and requiring upgrades to the electricity distribution infrastructure. This effect is exacerbated when adopting higher in-home power charging.« less

Impact of uncoordinated plug-in electric vehicle charging on residential power demand

NASA Astrophysics Data System (ADS)

Muratori, Matteo

2018-03-01

Electrification of transport offers opportunities to increase energy security, reduce carbon emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new connections between the transportation and electric sectors, and PEV charging will create opportunities and challenges in a system of growing complexity. Here, I use highly resolved models of residential power demand and PEV use to assess the impact of uncoordinated in-home PEV charging on residential power demand. While the increase in aggregate demand might be minimal even for high levels of PEV adoption, uncoordinated PEV charging could significantly change the shape of the aggregate residential demand, with impacts for electricity infrastructure, even at low adoption levels. Clustering effects in vehicle adoption at the local level might lead to high PEV concentrations even if overall adoption remains low, significantly increasing peak demand and requiring upgrades to the electricity distribution infrastructure. This effect is exacerbated when adopting higher in-home power charging.

Model documentation report: Residential sector demand module of the national energy modeling system

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies,more » market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.« less

Development and Demonstration of the Open Automated Demand Response Standard for the Residential Sector

DOE Office of Scientific and Technical Information (OSTI.GOV)

Herter, Karen; Rasin, Josh; Perry, Tim

2009-11-30

The goal of this study was to demonstrate a demand response system that can signal nearly every customer in all sectors through the integration of two widely available and non- proprietary communications technologies--Open Automated Demand Response (OpenADR) over lnternet protocol and Utility Messaging Channel (UMC) over FM radio. The outcomes of this project were as follows: (1) a software bridge to allow translation of pricing signals from OpenADR to UMC; and (2) a portable demonstration unit with an lnternet-connected notebook computer, a portfolio of DR-enabling technologies, and a model home. The demonstration unit provides visitors the opportunity to send electricity-pricingmore » information over the lnternet (through OpenADR and UMC) and then watch as the model appliances and lighting respond to the signals. The integration of OpenADR and UMC completed and demonstrated in this study enables utilities to send hourly or sub-hourly electricity pricing information simultaneously to the residential, commercial and industrial sectors.« less

A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption

DOE Office of Scientific and Technical Information (OSTI.GOV)

Moezzi, Mithra; Ingle, Aaron; Lutzenhiser, Loren

Although U.S. deployment of residential rooftop solar photovoltaic (PV) systems has accelerated in recent years, PV is still installed on less than 1 percent of single-family homes. Most research on household PV adoption focuses on scaling initial markets and modeling predicted growth rather than considering more broadly why adoption occurs. Among the studies that have investigated the characteristics of PV adoption, most collected data from adopters, sometimes with additional non-adopter data, and rarely from people who considered but did not adopt PV. Yet the vast majority of Americans are non-adopters, and they are a diverse group - understanding their waysmore » of evaluating PV adoption is important. Similarly, PV is a unique consumer product, which makes it difficult to apply findings from studies of other technologies to PV. In addition, little research addresses the experience of households after they install PV. This report helps fill some of these gaps in the existing literature. The results inform a more detailed understanding of residential PV adoption, while helping ensure that adoption is sufficiently beneficial to adopters and even non-adopters.« less

Mining residential water and electricity demand data in Southern California to inform demand management strategies

NASA Astrophysics Data System (ADS)

Cominola, A.; Spang, E. S.; Giuliani, M.; Castelletti, A.; Loge, F. J.; Lund, J. R.

2016-12-01

Demand side management strategies are key to meet future water and energy demands in urban contexts, promote water and energy efficiency in the residential sector, provide customized services and communications to consumers, and reduce utilities' costs. Smart metering technologies allow gathering high temporal and spatial resolution water and energy consumption data and support the development of data-driven models of consumers' behavior. Modelling and predicting resource consumption behavior is essential to inform demand management. Yet, analyzing big, smart metered, databases requires proper data mining and modelling techniques, in order to extract useful information supporting decision makers to spot end uses towards which water and energy efficiency or conservation efforts should be prioritized. In this study, we consider the following research questions: (i) how is it possible to extract representative consumers' personalities out of big smart metered water and energy data? (ii) are residential water and energy consumption profiles interconnected? (iii) Can we design customized water and energy demand management strategies based on the knowledge of water- energy demand profiles and other user-specific psychographic information? To address the above research questions, we contribute a data-driven approach to identify and model routines in water and energy consumers' behavior. We propose a novel customer segmentation procedure based on data-mining techniques. Our procedure consists of three steps: (i) extraction of typical water-energy consumption profiles for each household, (ii) profiles clustering based on their similarity, and (iii) evaluation of the influence of candidate explanatory variables on the identified clusters. The approach is tested onto a dataset of smart metered water and energy consumption data from over 1000 households in South California. Our methodology allows identifying heterogeneous groups of consumers from the studied sample, as well as characterizing them with respect to consumption profiles features and socio- demographic information. Results show how such better understanding of the considered users' community allows spotting potentially interesting areas for water and energy demand management interventions.

Characterizing U.S. Heat Demand Market for Potential Application of Geothermal Direct Use

DOE Office of Scientific and Technical Information (OSTI.GOV)

McCabe, Kevin; Gleason, Michael; Reber, Tim

In this paper, we assess the U.S. demand for low-temperature thermal energy at the county resolution for four major end-use sectors: residential buildings, commercial buildings, manufacturing facilities, and agricultural facilities. Existing, publicly available data on the U.S. thermal demand market are characterized by coarse spatial resolution, with assessments typically at the state-level or larger. For many uses, these data are sufficient; however, our research was motivated by an interest in assessing the potential demand for direct use (DU) of low-temperature (30 degrees to 150 degrees C) geothermal heat. The availability and quality of geothermal resources for DU applications are highlymore » spatially heterogeneous; therefore, to assess the potential market for these resources, it is necessary to understand the spatial variation in demand for low-temperature resources at a local resolution. This paper presents the datasets and methods we used to develop county-level estimates of the thermal demand for the residential, commercial, manufacturing, and agricultural sectors. Although this analysis was motivated by an interest in geothermal energy deployment, the results are likely to have broader applications throughout the energy industry. The county-resolution thermal demand data developed in this study for four major U.S. sectors may have far-reaching implications for building technologies, industrial processes, and various distributed renewable energy thermal resources (e.g. biomass, solar).« less

Characterizing U.S. Heat Demand for Potential Application of Geothermal Direct Use: Preprint

DOE Office of Scientific and Technical Information (OSTI.GOV)

McCabe, Kevin; Gleason, Michael; Reber, Tim

In this paper, we assess the U.S. demand for low-temperature thermal energy at the county resolution for four major end-use sectors: residential buildings, commercial buildings, manufacturing facilities, and agricultural facilities. Existing, publicly available data on the U.S. thermal demand market are characterized by coarse spatial resolution, with assessments typically at the state-level or larger. For many uses, these data are sufficient; however, our research was motivated by an interest in assessing the potential demand for direct use (DU) of low-temperature (30 degrees to 150 degrees C) geothermal heat. The availability and quality of geothermal resources for DU applications are highlymore » spatially heterogeneous; therefore, to assess the potential market for these resources, it is necessary to understand the spatial variation in demand for low-temperature resources at a local resolution. This paper presents the datasets and methods we used to develop county-level estimates of the thermal demand for the residential, commercial, manufacturing, and agricultural sectors. Although this analysis was motivated by an interest in geothermal energy deployment, the results are likely to have broader applications throughout the energy industry. The county-resolution thermal demand data developed in this study for four major U.S. sectors may have far-reaching implications for building technologies, industrial processes, and various distributed renewable energy thermal resources (e.g. biomass, solar).« less

Exploring Demand Charge Savings from Commercial Solar

DOE Office of Scientific and Technical Information (OSTI.GOV)

Darghouth, Naim; Barbose, Galen; Mills, Andrew

Commercial retail electricity rates commonly include a demand charge component, based on some measure of the customer’s peak demand. Customer-sited solar PV can potentially reduce demand charges, but the magnitude of these savings can be difficult to predict, given variations in demand charge designs, customer loads, and PV generation profiles. Moreover, depending on the circumstances, demand charges from solar may or may not align well with associated utility cost savings. Lawrence Berkeley National Laboratory (Berkeley Lab) and the National Renewable Energy Laboratory (NREL) are collaborating in a series of studies to understand how solar PV can reduce demand charge levelsmore » for a variety of customer types and demand charges designs. Previous work focused on residential customs with solar. This study, instead, focuses on commercial customers and seeks to understand the extent and conditions under which rooftop can solar reduce commercial demand charges. To answer these questions, we simulate demand charge savings for a broad range of commercial customer types, demand charge designs, locations, and PV system characteristics. This particular analysis does not include storage, but a subsequent analysis in this series will evaluate demand charge savings for commercial customers with solar and storage.« less

Impact of uncoordinated plug-in electric vehicle charging on residential power demand - supplementary data

DOE Data Explorer

Muratori, Matteo (ORCID:0000000316886742)

2017-06-15

This data set is provided in support of a forthcoming paper: "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," [1]. These files include electricity demand profiles for 200 households randomly selected among the ones available in the 2009 RECS data set for the Midwest region of the United States. The profiles have been generated using the modeling proposed by Muratori et al. [2], [3], that produces realistic patterns of residential power consumption, validated using metered data, with a resolution of 10 minutes. Households vary in size and number of occupants and the profiles represent total electricity use, in watts. The files also include in-home plug-in electric vehicle recharging profiles for 348 vehicles associated with the 200 households assuming both Level 1 (1920 W) and Level 2 (6600 W) residential charging infrastructure. The vehicle recharging profiles have been generated using the modeling proposed by Muratori et al. [4], that produces real-world recharging demand profiles, with a resolution of 10 minutes. [1] M. Muratori, "Impact of uncoordinated plug-in electric vehicle charging on residential power demand." Forthcoming. [2] M. Muratori, M. C. Roberts, R. Sioshansi, V. Marano, and G. Rizzoni, "A highly resolved modeling technique to simulate residential power demand," Applied Energy, vol. 107, no. 0, pp. 465 - 473, 2013. [3] M. Muratori, V. Marano, R. Sioshansi, and G. Rizzoni, "Energy consumption of residential HVAC systems: a simple physically-based model," in 2012 IEEE Power and Energy Society General Meeting. San Diego, CA, USA: IEEE, 22-26 July 2012. [4] M. Muratori, M. J. Moran, E. Serra, and G. Rizzoni, "Highly-resolved modeling of personal transportation energy consumption in the United States," Energy, vol. 58, no. 0, pp. 168-177, 2013.

The Impact of Rural Non-Farm Residential Development on the Provision of Local Public Services. Iowa Land Use Research Report Series.

ERIC Educational Resources Information Center

Fisher, Peter S.

Using multiple regression analysis for each county and a case study of selected services in Johnson County, Iowa, the study estimated the impacts of rural non-farm development in Iowa on the demand for local public services, on the cost of providing these services, and on the distribution of service benefits and tax burdens among population…

Residential Demand Module - NEMS Documentation

EIA Publications

2017-01-01

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Issues in International Energy Consumption Analysis: Canadian Energy Demand

EIA Publications

2015-01-01

The residential sector is one of the main end-use sectors in Canada accounting for 16.7% of total end-use site energy consumption in 2009 (computed from NRCan 2012. pp, 4-5). In this year, the residential sector accounted for 54.5% of buildings total site energy consumption. Between 1990 and 2009, Canadian household energy consumption grew by less than 11%. Nonetheless, households contributed to 14.6% of total energy-related greenhouse gas emissions in Canada in 2009 (computed from NRCan 2012). This is the U.S. Energy Information Administration’s second study to help provide a better understanding of the factors impacting residential energy consumption and intensity in North America (mainly the United States and Canada) by using similar methodology for analyses in both countries.

Residential water demand with endogenous pricing: The Canadian Case

NASA Astrophysics Data System (ADS)

Reynaud, Arnaud; Renzetti, Steven; Villeneuve, Michel

2005-11-01

In this paper, we show that the rate structure endogeneity may result in a misspecification of the residential water demand function. We propose to solve this endogeneity problem by estimating a probabilistic model describing how water rates are chosen by local communities. This model is estimated on a sample of Canadian local communities. We first show that the pricing structure choice reflects efficiency considerations, equity concerns, and, in some cases, a strategy of price discrimination across consumers by Canadian communities. Hence estimating the residential water demand without taking into account the pricing structures' endogeneity leads to a biased estimation of price and income elasticities. We also demonstrate that the pricing structure per se plays a significant role in influencing price responsiveness of Canadian residential consumers.

Dispatch Control with PEV Charging and Renewables for Multiplayer Game Application

DOE Office of Scientific and Technical Information (OSTI.GOV)

Davis, Nathan; Johnson, Brian; McJunkin, Timothy

This paper presents a demand response model for a hypothetical microgrid that integrates renewable resources and plug-in electric vehicle (PEV) charging systems. It is assumed that the microgrid has black start capability and that external generation is available for purchase while grid connected to satisfy additional demand. The microgrid is developed such that in addition to renewable, non-dispatchable generation from solar, wind and run of the river hydroelectric resources, local dispatchable generation is available in the form of small hydroelectric and moderately sized gas and coal fired facilities. To accurately model demand, the load model is separated into independent residential,more » commercial, industrial, and PEV charging systems. These are dispatched and committed based on a mixed integer linear program developed to minimize the cost of generation and load shedding while satisfying constraints associated with line limits, conservation of energy, and ramp rates of the generation units. The model extends a research tool to longer time frames intended for policy setting and educational environments and provides a realistic and intuitive understanding of beneficial and challenging aspects of electrification of vehicles combined with integration of green electricity production.« less

Energy Efficiency and Demand Response for Residential Applications

NASA Astrophysics Data System (ADS)

Wellons, Christopher J., II

The purpose of this thesis is to analyze the costs, feasibility and benefits of implementing energy efficient devices and demand response programs to a residential consumer environment. Energy efficiency and demand response are important for many reasons, including grid stabilization. With energy demand increasing, as the years' pass, the drain on the grid is going up. There are two key solutions to this problem, increasing supply by building more power plants and decreasing demand during peak periods, by increasing participation in demand response programs and by upgrading residential and commercial customers to energy efficient devices, to lower demand throughout the day. This thesis focuses on utilizing demand response methods and energy efficient device to reduce demand. Four simulations were created to analyze these methods. These simulations show the importance of energy efficiency and demand response participation to help stabilize the grid, integrate more alternative energy resources, and reduce emissions from fossil fuel generating facilities. The results of these numerical analyses show that demand response and energy efficiency can be beneficial to consumers and utilities. With demand response being the most beneficial to the utility and energy efficiency, specifically LED lighting, providing the most benefits to the consumer.

Generalized Aggregation and Coordination of Residential Loads in a Smart Community

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hao, He; Somani, Abhishek; Lian, Jianming

2015-11-02

Flexibility from residential loads presents an enormous potential to provide various services to the smart grid. In this paper, we propose a unified hierarchical framework for aggregation and coordination of various residential loads in a smart community, such as Thermostatically Controlled Loads (TCLs), Distributed Energy Storages (DESs), residential Pool Pumps (PPs), and Electric Vehicles (EVs). A central idea of this framework is a virtual battery model, which provides a simple and intuitive tool to aggregate the flexibility of distributed loads. Moreover, a multi-stage Nash-bargainingbased coordination strategy is proposed to coordinate different aggregations of residential loads for demand response. Case studiesmore » are provided to demonstrate the efficacy of our proposed framework and coordination strategy in managing peak power demand in a smart residential community.« less

Understanding Drought and Regional Conservation Efforts on Urban Ecohydrology in Southern California

NASA Astrophysics Data System (ADS)

Hogue, T. S.

2015-12-01

Cities in the western U.S. are under increasing pressure to reduce the demand of imported water through increasing conservation efforts, altering non-native landscapes, and enhancing local water supplies. The State of California adopted emergency regulations implementing a mandatory 25% statewide reduction in potable urban water use and agricultural restrictions have also been enacted. The complexities in urban water flows and lack of granular data make understanding the impact of conservation and demand change on regional ecohydrology difficult. This presentation highlights ongoing work to better understand the coupling between humans, water and ecosystems in semi-arid urban cities, using metropolitan southern California as a case study. We evaluate historical and contemporary ecohydrologic behavior and human impacts through intensive data collection, remote sensing and high resolution modeling. The change in outdoor irrigation rates due to recent conservation measures (2008-2010) has resulted in overall decreased greenness and reduced dry season streamflow; however significant variability in conservation response is observed. Groundwater recharge, artificially supported by landscape irrigation, is also being impacted. In general, anthropogenic water fluxes (irrigation, pipe leakage, spreading grounds) are not parameterized in hydrologic and land surface models applied over urban areas. Inclusion of landscape irrigation significantly improves neighborhood scale simulations of evaporative fluxes and land surface temperatures and results in shifts in the energy partitioning. The cooling effects of irrigation on daily air temperatures has the largest influence over low intensity residential areas, with an average 2°C decrease observed in coupled model simulations (WRF-Noah-UCM). Ultimately, we strive to improve predictions of human-water interactions in semi-arid cities to better understand the effectiveness and impacts of ongoing drought and conservation efforts and guide demand strategies under future climate variability.

Thermal Profiling of Residential Energy Use

DOE Office of Scientific and Technical Information (OSTI.GOV)

Albert, A; Rajagopal, R

This work describes a methodology for informing targeted demand-response (DR) and marketing programs that focus on the temperature-sensitive part of residential electricity demand. Our methodology uses data that is becoming readily available at utility companies-hourly energy consumption readings collected from "smart" electricity meters, as well as hourly temperature readings. To decompose individual consumption into a thermal-sensitive part and a base load (non-thermally-sensitive), we propose a model of temperature response that is based on thermal regimes, i.e., unobserved decisions of consumers to use their heating or cooling appliances. We use this model to extract useful benchmarks that compose thermal profiles ofmore » individual users, i.e., terse characterizations of the statistics of these users' temperature-sensitive consumption. We present example profiles generated using our model on real consumers, and show its performance on a large sample of residential users. This knowledge may, in turn, inform the DR program by allowing scarce operational and marketing budgets to be spent on the right users-those whose influencing will yield highest energy reductions-at the right time. We show that such segmentation and targeting of users may offer savings exceeding 100% of a random strategy.« less

A dataset of housing market and self-attitudes towards housing location choices in Alexandria, Egypt.

PubMed

Ibrahim, Mohamed R

2017-04-01

A survey, of sample size 224, is designed to include the different related-factors to housing location choice, such as; socioeconomic factors, housing characteristics, travel behavior, current self-selection factors, housing demand and future location preferences. It comprises 16 questions, categorized into three different sections; socioeconomic (5 Questions), current dwelling unit characteristics (7 Questions), and housing demand characteristics (4 Questions). The first part, socioeconomic, covers the basic information about the respondent, such as; age, gender, marital status, employment, and car ownership. While the second part, current dwelling unit characteristics, covers different aspect concerning the residential unit typology, financial aspects, and travel behavior of the respondent. It includes the tenure types of the residential unit, estimation of the unit price (in the case of ownership or renting), housing typologies, the main reason for choosing the unit, in case of working, the modes of travel to work, and time to reach it, residential mobility in the last decade, and the ownership of any other residential units. The last part, housing demand characteristics, covers the size of the demand for a residential unit, preference in living in a certain area and the reason to choose it, and the preference of residential unit׳s tenure. This survey is a representative sample for the population in Alexandria, Egypt. The data in this article is represented in: How do people select their residential locations in Egypt? The case of Alexandria; JCIT1757.

Public hospital bed crisis: too few or too misused?

PubMed

Scott, Ian A

2010-08-01

* Increasing demand on public hospital beds has led to what many see as a hospital bed crisis requiring substantial increases in bed numbers. By 2050, if current bed use trends persist and as the numbers of frail older patients rise exponentially, a 62% increase in hospital beds will be required to meet expected demand, at a cost almost equal to the entire current Australian healthcare budget. * This article provides an overview of the effectiveness of different strategies for reducing hospital demand that may be viewed as primarily (although not exclusively) targeting the hospital sector - increasing capacity and throughput and reducing readmissions - or the non-hospital sector - facilitating early discharge or reducing presentations and admissions to hospital. Evidence of effectiveness was retrieved from a literature search of randomised trials and observational studies using broad search terms. * The principal findings were as follows: (1) within the hospital sector, throughput could be substantially improved by outsourcing public hospital clinical services to the private sector, undertaking whole-of-hospital reform of care processes and patient flow that address both access and exit block, separating acute from elective beds and services, increasing rates of day-only or short stay admissions, and curtailing ineffective or marginally effective clinical interventions; (2) in regards to the non-hospital sector, potentially the biggest gains in reducing hospital demand will come from improved access to residential care, rehabilitation services, and domiciliary support as patients awaiting such services currently account for 70% of acute hospital bed-days. More widespread use of acute care and advance care planning within residential care facilities and population-based chronic disease management programs can also assist. * This overview concludes that, in reducing hospital bed demand, clinical process redesign within hospitals and capacity enhancement of non-hospital care services and chronic disease management programs are effective strategies that should be considered before investing heavily in creating additional hospital beds devoid of any critical reappraisal of current models of care.

Costs of day hospital and community residential chemical dependency treatment.

PubMed

Kaskutas, Lee Ann; Zavala, Silvana K; Parthasarathy, Sujaya; Witbrodt, Jane

2008-03-01

Patient placement criteria developed by the American Society of Addiction Medicine (ASAM) have identified a need for low-intensity residential treatment as an alternative to day hospital for patients with higher levels of severity. A recent clinical trial found similar outcomes at social model residential treatment and clinically-oriented day hospital programs, but did not report on costs. This paper addresses whether the similar outcomes in the recent trial were delivered with comparable costs, overall and within gender and ethnicity stratum. This paper reports on clients not at environmental risk who participated in a randomized trial conducted in three metropolitan areas served by a large pre-paid health plan. Cost data were collected using the Drug Abuse Treatment Cost Analysis Program (DATCAP). Costs per episode were calculated by multiplying DATCAP-derived program-specific costs by each client's length of stay. Differences in length of stay, and in per-episode costs, were compared between residential and day hospital subjects. Lengths of stay at residential treatment were significantly longer than at day hospital, in the sample overall and in disaggregated analyses. This difference was especially marked among non-Whites. The average cost per week was USD 575 per week at day hospital, versus USD 370 per week at the residential programs. However, because of the longer stays in residential, per-episode costs were significantly higher in the sample overall and among non-Whites (and marginally higher for men). These cost results must be considered in light of the null findings comparing outcomes between subjects randomized to residential versus day hospital programs. The longer stays in the sample overall and for non-White clients at residential programs came at higher costs but did not lead to better rates of abstinence. The short stays in day hospital among non-Whites call into question the attractiveness of day hospital for minority clients. Outcomes and costs at residential versus day hospital programs were similar for women and for Whites. For non-Whites, and marginally for men, a preference for residential care would appear to come at a higher cost. Lengths of stay in residential treatment were significantly longer than in day hospital, but costs per week were lower. Women and Whites appear to be equally well-served in residential and day hospital programs, with no significant cost differential. Provision of residential treatment for non-Whites may be more costly than day hospital, because their residential stays are likely to be 3 times longer than they would be if treated in day hospital. For men, residential care will be marginally more costly. IMPLICATIONS FOR HEALTH POLICY FORMULATION: Residential treatment appears to represent a cost-effective alternative to day hospital for female and White clients with severe alcohol and drug problems who are not at environmental risk. The much shorter stays in day hospital than at residential among non-Whites highlight the need for research to better understand how to best meet the needs and preferences of non-White clients when considering both costs and outcomes.

Estimating Elasticity for Residential Electricity Demand in China

PubMed Central

Shi, G.; Zheng, X.; Song, F.

2012-01-01

Residential demand for electricity is estimated for China using a unique household level dataset. Household electricity demand is specified as a function of local electricity price, household income, and a number of social-economic variables at household level. We find that the residential demand for electricity responds rather sensitively to its own price in China, which implies that there is significant potential to use the price instrument to conserve electricity consumption. Electricity elasticities across different heterogeneous household groups (e.g., rich versus poor and rural versus urban) are also estimated. The results show that the high income group is more price elastic than the low income group, while rural families are more price elastic than urban families. These results have important policy implications for designing an increasing block tariff. PMID:22997492

Estimating elasticity for residential electricity demand in China.

PubMed

Shi, G; Zheng, X; Song, F

2012-01-01

Residential demand for electricity is estimated for China using a unique household level dataset. Household electricity demand is specified as a function of local electricity price, household income, and a number of social-economic variables at household level. We find that the residential demand for electricity responds rather sensitively to its own price in China, which implies that there is significant potential to use the price instrument to conserve electricity consumption. Electricity elasticities across different heterogeneous household groups (e.g., rich versus poor and rural versus urban) are also estimated. The results show that the high income group is more price elastic than the low income group, while rural families are more price elastic than urban families. These results have important policy implications for designing an increasing block tariff.

Higher Education, Graduate Skills and the Skills of Graduates: The Case of Graduates as Residential Sales Estate Agents

ERIC Educational Resources Information Center

Tholen, Gerbrand; Relly, Susan James; Warhurst, Chris; Commander, Joanna

2016-01-01

The UK labour market is subject to significant graduatisation. Yet in the context of an over-supply of graduates, little is known about the "demand" for and "deployment" of graduate skills in previously non-graduate jobs. Moreover, there is little examination of where these skills are developed, save an assumption in higher…

Data-driven behavioural modelling of residential water consumption to inform water demand management strategies

NASA Astrophysics Data System (ADS)

Giuliani, Matteo; Cominola, Andrea; Alshaf, Ahmad; Castelletti, Andrea; Anda, Martin

2016-04-01

The continuous expansion of urban areas worldwide is expected to highly increase residential water demand over the next few years, ultimately challenging the distribution and supply of drinking water. Several studies have recently demonstrated that actions focused only on the water supply side of the problem (e.g., augmenting existing water supply infrastructure) will likely fail to meet future demands, thus calling for the concurrent deployment of effective water demand management strategies (WDMS) to pursue water savings and conservation. However, to be effective WDMS do require a substantial understanding of water consumers' behaviors and consumption patterns at different spatial and temporal resolutions. Retrieving information on users' behaviors, as well as their explanatory and/or causal factors, is key to spot potential areas for targeting water saving efforts and to design user-tailored WDMS, such as education campaigns and personalized recommendations. In this work, we contribute a data-driven approach to identify household water users' consumption behavioural profiles and model their water use habits. State-of-the-art clustering methods are coupled with big data machine learning techniques with the aim of extracting dominant behaviors from a set of water consumption data collected at the household scale. This allows identifying heterogeneous groups of consumers from the studied sample and characterizing them with respect to several consumption features. Our approach is validated onto a real-world household water consumption dataset associated with a variety of demographic and psychographic user data and household attributes, collected in nine towns of the Pilbara and Kimberley Regions of Western Australia. Results show the effectiveness of the proposed method in capturing the influence of candidate determinants on residential water consumption profiles and in attaining sufficiently accurate predictions of users' consumption behaviors, ultimately providing valuable information to water utilities and managers.

Doctoral Student Persistence in Non-Traditional Cohort Programs: Examining Educationally-Related Peer Relationships, Students' Understanding of Faculty Expectations, and Student Characteristics

ERIC Educational Resources Information Center

Fitzpatrick, Julie A.

2013-01-01

The purpose of this study is to examine the influence of educationally-related peer relationships, students' understanding of faculty expectations, and student characteristics on the persistence of doctoral students in non-traditional, residential, cohort programs in educational leadership. Drawing on the concepts of academic and social…

A Review of Methods for the Manufacture of Residential Roofing Materials

DOE Office of Scientific and Technical Information (OSTI.GOV)

Akbari, Hashem; Levinson, Ronnen; Berdahl, Paul

2003-06-01

Shingles, tiles, and metal products comprise over 80% (by roof area) of the California roofing market (54-58% fiberglass shingle, 8-10% concrete tile, 8-10% clay tile, 7% metal, 3% wood shake, and 3% slate). In climates with significant demand for cooling energy, increasing roof solar reflectance reduces energy consumption in mechanically cooled buildings, and improves occupant comfort in non-conditioned buildings. This report examines methods for manufacturing fiberglass shingles, concrete tiles, clay tiles, and metal roofing. The report also discusses innovative methods for increasing the solar reflectance of these roofing materials. We have focused on these four roofing products because they aremore » typically colored with pigmented coatings or additives. A better understanding of the current practices for manufacturing colored roofing materials would allow us to develop cool colored materials creatively and more effectively.« less

Electrification Opportunities in the Transportation Sector and Impact of Residential Charging

DOE Office of Scientific and Technical Information (OSTI.GOV)

Muratori, Matteo

This presentation provides an overview of electrification opportunities in the transportation sector and present results of a study assessing the impact of residential charging on residential power demand and electric power distribution infrastructure.

Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models

EIA Publications

2003-01-01

This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

Residential Consumer-Centric Demand-Side Management Based on Energy Disaggregation-Piloting Constrained Swarm Intelligence: Towards Edge Computing

PubMed Central

Hu, Yu-Chen

2018-01-01

The emergence of smart Internet of Things (IoT) devices has highly favored the realization of smart homes in a down-stream sector of a smart grid. The underlying objective of Demand Response (DR) schemes is to actively engage customers to modify their energy consumption on domestic appliances in response to pricing signals. Domestic appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption intelligently. Besides, to residential customers for DR implementation, maintaining a balance between energy consumption cost and users’ comfort satisfaction is a challenge. Hence, in this paper, a constrained Particle Swarm Optimization (PSO)-based residential consumer-centric load-scheduling method is proposed. The method can be further featured with edge computing. In contrast with cloud computing, edge computing—a method of optimizing cloud computing technologies by driving computing capabilities at the IoT edge of the Internet as one of the emerging trends in engineering technology—addresses bandwidth-intensive contents and latency-sensitive applications required among sensors and central data centers through data analytics at or near the source of data. A non-intrusive load-monitoring technique proposed previously is utilized to automatic determination of physical characteristics of power-intensive home appliances from users’ life patterns. The swarm intelligence, constrained PSO, is used to minimize the energy consumption cost while considering users’ comfort satisfaction for DR implementation. The residential consumer-centric load-scheduling method proposed in this paper is evaluated under real-time pricing with inclining block rates and is demonstrated in a case study. The experimentation reported in this paper shows the proposed residential consumer-centric load-scheduling method can re-shape loads by home appliances in response to DR signals. Moreover, a phenomenal reduction in peak power consumption is achieved by 13.97%. PMID:29702607

Organizational capacities for 'residential care homes for the elderly' to provide culturally appropriate end-of-life care for Chinese elders and their families.

PubMed

Kong, Sui-Ting; Fang, Christine Meng-Sang; Lou, Vivian Weiqun

2017-01-01

Developing culturally appropriate end-of-life care for Chinese elderly and families is not an endemic challenge for Hong Kong, but that of the Western countries with a noticeable trend of rising Chinese population. The particular development of Hong Kong healthcare system, which is currently the major provider of end-of-life care, makes Hong Kong a fruitful case for understanding the confluence of the West and the East cultures in end-of-life care practices. This study therefore aims at building our best practice to enhance the capacity of residential care homes in providing culturally appropriate end-of-life care. We conducted two phases of research, a questionnaire survey and a qualitative study, which respectively aims at (1) understanding the EoL care service demand and provision in RCHEs, including death facts and perceived barriers and challenges in providing quality end-of-life care in care homes, and (2) identifying the necessary organizational capacities for the 'relational personhood' to be sustained in the process of ageing and dying in residential care homes. Findings shed light on how to empower residential care homes with necessary environmental, structural and cultural-resource-related capacity for providing quality end-of-life care for Chinese elders and their families. Copyright © 2016 Elsevier Inc. All rights reserved.

Residential grid-connected photovoltaics adoption in north central Texas: Lessons from the Solarize Plano project

NASA Astrophysics Data System (ADS)

Jack, Katherine G.

Residential Grid-Connected Photovoltaics (GPV) systems hold remarkable promise in their potential to reduce energy use, air pollution, greenhouse gas emissions, and energy costs to consumers, while also providing grid efficiency and demand-side management benefits to utilities. Broader adoption of customer-sited GPV also has the potential to transform the traditional model of electricity generation and delivery. Interest and activity has grown in recent years to promote GPV in north central Texas. This study employs a mixed methods design to better understand the status of residential GPV adoption in the DFW area, and those factors influencing a homeowner's decision of whether or not to install a system. Basic metrics are summarized, including installation numbers, distribution and socio-demographic information for the case study city of Plano, the DFW region, Texas, and the United States. Qualitative interview methods are used to gain an in-depth understanding of the factors influencing adoption for the Solarize Plano case study participants; to evaluate the effectiveness of the Solarize Plano program; and to identify concepts that may be regionally relevant. Recommendations are presented for additional research that may advance GPV adoption in north central Texas.

Job-Demands, Job Control, Social Support, Self-Efficacy, and Burnout of Staff of Residential Children's Homes

ERIC Educational Resources Information Center

Brouwers, André; Tomic, Welko

2016-01-01

The aim of the current study was to examine among educational staff members of residential children's homes to what extent task demands, job control, emotional and social support from colleagues and management as well as self-efficacy beliefs concerning coping with aggressive behaviour in youngsters are associated with emotional exhaustion,…

Interaction between air pollution dispersion and residential heating demands

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lipfert, F.W.; Moskowitz, P.D.; Dungan, J.

The effect of the short-term correlation of a specific emission (sulfur dioxide) from residential space heating, with air pollution dispersion rates on the accuracy of model estimates of urban air pollution on a seasonal or annual basis is analyzed. Hourly climatological and residential emission estimates for six U.S. cities and a simplified area source-dispersion model based on a circular receptor grid are used. The effect on annual average concentration estimations is found to be slight (approximately + or - 12 percent), while the maximum hourly concentrations are shown to vary considerably more, since maximum heat demand and worst-case dispersion aremore » not coincident. Accounting for the correlations between heating demand and dispersion makes possible a differentiation in air pollution potential between coastal and interior cities.« less

Energy demand of the German and Dutch residential building stock under climate change

NASA Astrophysics Data System (ADS)

Olonscheck, Mady; Holsten, Anne; Walther, Carsten; Kropp, Jürgen P.

2014-05-01

In order to mitigate climate change, extraordinary measures are necessary in the future. The building sector, in particular, offers considerable potential for transformation to lower energy demand. On a national level, however, successful and far-reaching measures will likely be taken only if reliable estimates regarding future energy demand from different scenarios are available. The energy demand for space heating and cooling is determined by a combination of behavioral, climatic, constructional, and demographic factors. For two countries, namely Germany and the Netherlands, we analyze the combined effect of future climate and building stock changes as well as renovation measures on the future energy demand for room conditioning of residential buildings until 2060. We show how much the heating energy demand will decrease in the future and answer the question of whether the energy decrease will be exceeded by an increase in cooling energy demand. Based on a sensitivity analysis, we determine those influencing factors with the largest impact on the future energy demand from the building stock. Both countries have national targets regarding the reduction of the energy demand for the future. We provide relevant information concerning the annual renovation rates that are necessary to reach these targets. Retrofitting buildings is a win-win option as it not only helps to mitigate climate change and to lower the dependency on fossil fuels but also transforms the buildings stock into one that is better equipped for extreme temperatures that may occur more frequently with climate change. For the Netherlands, the study concentrates not only on the national, but also the provincial level, which should facilitate directed policy measures. Moreover, the analysis is done on a monthly basis in order to ascertain a deeper understanding of the future seasonal energy demand changes. Our approach constitutes an important first step towards deeper insights into the internal dynamics of the building sector and its climate sensitivity.

Key Residential Building Equipment Technologies for Control and Grid Support PART I (Residential)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Starke, Michael R; Onar, Omer C; DeVault, Robert C

2011-09-01

Electrical energy consumption of the residential sector is a crucial area of research that has in the past primarily focused on increasing the efficiency of household devices such as water heaters, dishwashers, air conditioners, and clothes washer and dryer units. However, the focus of this research is shifting as objectives such as developing the smart grid and ensuring that the power system remains reliable come to the fore, along with the increasing need to reduce energy use and costs. Load research has started to focus on mechanisms to support the power system through demand reduction and/or reliability services. The powermore » system relies on matching generation and load, and day-ahead and real-time energy markets capture most of this need. However, a separate set of grid services exist to address the discrepancies in load and generation arising from contingencies and operational mismatches, and to ensure that the transmission system is available for delivery of power from generation to load. Currently, these grid services are mostly provided by generation resources. The addition of renewable resources with their inherent variability can complicate the issue of power system reliability and lead to the increased need for grid services. Using load as a resource, through demand response programs, can fill the additional need for flexible resources and even reduce costly energy peaks. Loads have been shown to have response that is equal to or better than generation in some cases. Furthermore, price-incentivized demand response programs have been shown to reduce the peak energy requirements, thereby affecting the wholesale market efficiency and overall energy prices. The residential sector is not only the largest consumer of electrical energy in the United States, but also has the highest potential to provide demand reduction and power system support, as technological advancements in load control, sensor technologies, and communication are made. The prevailing loads based on the largest electrical energy consumers in the residential sector are space heating and cooling, washer and dryer, water heating, lighting, computers and electronics, dishwasher and range, and refrigeration. As the largest loads, these loads provide the highest potential for delivering demand response and reliability services. Many residential loads have inherent flexibility that is related to the purpose of the load. Depending on the load type, electric power consumption levels can either be ramped, changed in a step-change fashion, or completely removed. Loads with only on-off capability (such as clothes washers and dryers) provide less flexibility than resources that can be ramped or step-changed. Add-on devices may be able to provide extra demand response capabilities. Still, operating residential loads effectively requires awareness of the delicate balance of occupants health and comfort and electrical energy consumption. This report is Phase I of a series of reports aimed at identifying gaps in automated home energy management systems for incorporation of building appliances, vehicles, and renewable adoption into a smart grid, specifically with the intent of examining demand response and load factor control for power system support. The objective is to capture existing gaps in load control, energy management systems, and sensor technology with consideration of PHEV and renewable technologies to establish areas of research for the Department of Energy. In this report, (1) data is collected and examined from state of the art homes to characterize the primary residential loads as well as PHEVs and photovoltaic for potential adoption into energy management control strategies; and (2) demand response rules and requirements across the various demand response programs are examined for potential participation of residential loads. This report will be followed by a Phase II report aimed at identifying the current state of technology of energy management systems, sensors, and communication technologies for demand response and load factor control applications for the residential sector. The purpose is to cover the gaps that exist in the information captured by the sensors for energy management system to be able to provide demand response and load factor control. The vision is the development of an energy management system or other controlling enterprise hardware and software that is not only able to control loads, PHEVs, and renewable generation for demand response and load factor control, but also to do so with consumer comforts in mind and in an optimal fashion.« less

A High-Resolution Spatially Explicit Monte-Carlo Simulation Approach to Commercial and Residential Electricity and Water Demand Modeling

DOE Office of Scientific and Technical Information (OSTI.GOV)

Morton, April M; McManamay, Ryan A; Nagle, Nicholas N

Abstract As urban areas continue to grow and evolve in a world of increasing environmental awareness, the need for high resolution spatially explicit estimates for energy and water demand has become increasingly important. Though current modeling efforts mark significant progress in the effort to better understand the spatial distribution of energy and water consumption, many are provided at a course spatial resolution or rely on techniques which depend on detailed region-specific data sources that are not publicly available for many parts of the U.S. Furthermore, many existing methods do not account for errors in input data sources and may thereforemore » not accurately reflect inherent uncertainties in model outputs. We propose an alternative and more flexible Monte-Carlo simulation approach to high-resolution residential and commercial electricity and water consumption modeling that relies primarily on publicly available data sources. The method s flexible data requirement and statistical framework ensure that the model is both applicable to a wide range of regions and reflective of uncertainties in model results. Key words: Energy Modeling, Water Modeling, Monte-Carlo Simulation, Uncertainty Quantification Acknowledgment This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.« less

Analyzing Residential End-Use Energy Consumption Data to Inform Residential Consumer Decisions and Enable Energy Efficiency Improvements

NASA Astrophysics Data System (ADS)

Carlson, Derrick R.

While renewable energy is in the process of maturing, energy efficiency improvements may provide an opportunity to reduce energy consumption and consequent greenhouse gas emissions to bridge the gap between current emissions and the reductions necessary to prevent serious effects of climate change and will continue to be an integral part of greenhouse gas emissions policy moving forward. Residential energy is a largely untapped source of energy reductions as consumers, who wish to reduce energy consumption for monetary, environmental, and other reasons, face barriers. One such barrier is a lack of knowledge or understanding of how energy is consumed in a home and how to reduce this consumption effectively through behavioral and technological changes. One way to improve understanding of residential energy consumption is through the creation of a model to predict which appliances and electronics will be present and significantly contribute to the electricity consumption of a home on the basis of various characteristics of that home. The basis of this model is publically available survey data from the Residential Energy Consumption Survey (RECS). By predicting how households are likely to consume energy, homeowners, policy makers, and other stakeholders have access to valuable data that enables reductions in energy consumption in the residential sector. This model can be used to select homes that may be ripe for energy reductions and to predict the appliances that are the basis of these potential reductions. This work suggests that most homes in the U.S. have about eight appliances that are responsible for about 80% of the electricity consumption in that home. Characteristics such as census region, floor space, income, and total electricity consumption affect which appliances are likely to be in a home, however the number of appliances is generally around 8. Generally it takes around 4 appliances to reach the 50% threshold and 12 appliances to reach 90% of electricity consumption, which suggests significant diminishing returns for parties interested in monitoring appliance level electricity consumption. Another way to improve understanding of residential energy consumption is through the development of residential use phase energy vectors for use in the Economic Input-Output Life Cycle Assessment (EIO-LCA) model. The EIO-LCA model is a valuable scoping tool to predict the environmental impacts of economic activity. This tool has a gap in its capabilities as residential use phase energy is outside the scope of the model. Adding use phase energy vectors to the EIO-LCA model will improve the modeling, provide a more complete estimation of energy impacts and allow for embedded energy to be compared to use phase energy for the purchase of goods and services in the residential sector. This work adds 21 quads of energy to the residential energy sector for the model and 15 quads of energy for personal transportation. These additions represent one third of the total energy consumption of the United States and a third of the total energy in the EIO-LCA model. This work also demonstrates that for many products such as electronics and household appliances use phase energy demands are much greater than manufacturing energy demands and dominate the life cycles for these products. A final way in which this thesis improves upon the understanding of how use phase energy is consumed in a home is through the exploration of potential energy reductions in a home. This analysis selects products that are used or consumed in a home, and explores the potential for reductions in the embedded manufacturing and use phase energy of that product using EIO-LCA and the energy vectors created in Chapter 3. The results give consumers an understanding of where energy is consumed in the lifecycle of products that they purchase and provide policy makers with valuable information on how to focus or refocus policies that are aimed and reducing energy in the residential sector. This work finds that a majority of the energy consumed by retail products is consumed in the use phase of electronics and appliances. Consequently the largest potential reductions in residential energy use can be found in the same area. The work also shows that targeting reductions in the manufacturing energy for many products is likely to be an ineffective strategy for energy reductions with the exception of a select few products. Supply chain energy reductions may be more promising than manufacturing energy reductions, though neither is likely to be as effective as strategies that target use phase energy reductions.

Solar + Storage Synergies for Managing Commercial-Customer Demand Charges

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gagnon, P.; Govindarajan, A.; Bird, L.

Demand charges, which are based on a customer’s maximum demand in kilowatts (kW), are a common element of electricity rate structures for commercial customers. Customer-sited solar photovoltaic (PV) systems can potentially reduce demand charges, but the level of savings is difficult to predict, given variations in demand charge designs, customer loads, and PV generation profiles. Lawrence Berkeley National Laboratory (Berkeley Lab) and the National Renewable Energy Laboratory (NREL) are collaborating on a series of studies to understand how solar PV can impact demand charges. Prior studies in the series examined demand charge reductions from solar on a stand-alone basis formore » residential and commercial customers. Those earlier analyses found that solar, alone, has limited ability to reduce demand charges depending on the specific design of the demand charge and on the shape of the customer’s load profile. This latest analysis estimates demand charge savings from solar in commercial buildings when co-deployed with behind-the-meter storage, highlighting the complementary roles of the two technologies. The analysis is based on simulated loads, solar generation, and storage dispatch across a wide variety of building types, locations, system configurations, and demand charge designs.« less

Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings

DOE Office of Scientific and Technical Information (OSTI.GOV)

O'Shaughnessy, Eric; Cutler, Dylan; Ardani, Kristen

As utility electricity rates evolve, pairing solar photovoltaic (PV) systems with battery storage has potential to ensure the value proposition of residential solar by mitigating economic uncertainty. In addition to batteries, load control technologies can reshape customer load profiles to optimize PV system use. The combination of PV, energy storage, and load control provides an integrated approach to PV deployment, which we call 'solar plus'. The U.S. National Renewable Energy Laboratory's Renewable Energy Optimization (REopt) model is utilized to evaluate cost-optimal technology selection, sizing, and dispatch in residential buildings under a variety of rate structures and locations. The REopt modelmore » is extended to include a controllable or 'smart' domestic hot water heater model and smart air conditioner model. We find that the solar plus approach improves end user economics across a variety of rate structures - especially those that are challenging for PV - including lower grid export rates, non-coincident time-of-use structures, and demand charges.« less

Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings

DOE PAGES

O'Shaughnessy, Eric; Cutler, Dylan; Ardani, Kristen; ...

2018-01-11

As utility electricity rates evolve, pairing solar photovoltaic (PV) systems with battery storage has potential to ensure the value proposition of residential solar by mitigating economic uncertainty. In addition to batteries, load control technologies can reshape customer load profiles to optimize PV system use. The combination of PV, energy storage, and load control provides an integrated approach to PV deployment, which we call 'solar plus'. The U.S. National Renewable Energy Laboratory's Renewable Energy Optimization (REopt) model is utilized to evaluate cost-optimal technology selection, sizing, and dispatch in residential buildings under a variety of rate structures and locations. The REopt modelmore » is extended to include a controllable or 'smart' domestic hot water heater model and smart air conditioner model. We find that the solar plus approach improves end user economics across a variety of rate structures - especially those that are challenging for PV - including lower grid export rates, non-coincident time-of-use structures, and demand charges.« less

Models for predicting turnover of residential aged care nurses: a structural equation modelling analysis of secondary data.

PubMed

Gao, Fengsong; Newcombe, Peter; Tilse, Cheryl; Wilson, Jill; Tuckett, Anthony

2014-09-01

Nurse turnover in the residential aged care industry is a pressing issue. Researchers have shown ongoing interest in exploring how the factors that are amendable to change in aged care policy, regulation and funding and in organizational procedures (e.g. job demands, coping resources and psychological health of nurses) impact on turnover. However, the findings are mixed. This study tested two theoretical models of turnover to examine the structural relationships among job demands, coping resources, psychological health and turnover of residential aged care nurses. Although many previous studies operationalized turnover as intention to leave, the present study investigated actual turnover by following up with the same individuals over time, and thus provided more accurate predictive models of turnover behaviour. The sample, 239 Australian residential aged care nurses, came from the Nurses and Midwives e-cohort Study. Job demands, coping resources, and psychological health were measured using standardized instruments. Structural equation modelling was used to test the measurement and structural models. Controlling for a number of workforce and individual characteristics, coping resources (measured by job control, supervisor support, and co-worker support) were negatively and directly associated with turnover. Additionally, the findings supported the Job Demand-Control-Support model in that higher coping resources and lower job demands (indicated by psychological demands, physical demands, and effort) were related to better psychological health (measured by vitality, social functioning, role emotional, and mental health), and higher job demands were related to lower coping resources. Findings suggest that aged care policy makers and service providers might consider increasing coping resources available to nurses and minimizing job demands of care work to reduce turnover and improve nurses' psychological health. Moreover, findings from this Australian study may provide valuable practical and policy implications for other developed countries. Copyright © 2014 Elsevier Ltd. All rights reserved.

Integrated urban water management for residential areas: a reuse model.

PubMed

Barton, A B; Argue, J R

2009-01-01

Global concern over growing urban water demand in the face of limited water resources has focussed attention on the need for better management of available water resources. This paper takes the "fit for purpose" concept and applies it in the development of a model aimed at changing current practices with respect to residential planning by integrating reuse systems into the design layout. This residential reuse model provides an approach to the design of residential developments seeking to maximise water reuse. Water balance modelling is used to assess the extent to which local water resources can satisfy residential demands with conditions based on the city of Adelaide, Australia. Physical conditions include a relatively flat topography and a temperate climate, with annual rainfall being around 500 mm. The level of water-self-sufficiency that may be achieved within a reuse development in this environment is estimated at around 60%. A case study is also presented in which a conventional development is re-designed on the basis of the reuse model. Costing of the two developments indicates the reuse scenario is only marginally more expensive. Such costings however do not include the benefit to upstream and downstream environments resulting from reduced demand and discharges. As governments look to developers to recover system augmentation and environmental costs the economics of such approaches will increase.

The SmartH2O project: a platform supporting residential water management through smart meters and data intensive modeling

NASA Astrophysics Data System (ADS)

Cominola, A.; Nanda, R.; Giuliani, M.; Piga, D.; Castelletti, A.; Rizzoli, A. E.; Maziotis, A.; Garrone, P.; Harou, J. J.

2014-12-01

Designing effective urban water demand management strategies at the household level does require a deep understanding of the determinants of users' consumption. Low resolution data on residential water consumption, as traditionally metered, can only be used to model consumers' behavior at an aggregate level whereas end uses breakdown and the motivations and individual attitudes of consumers are hidden. The recent advent of smart meters allows gathering high frequency consumption data that can be used both to provide instantaneous information to water utilities on the state of the network and continuously inform the users on their consumption and savings. Smart metered data also allow for the characterization of water end uses: this information, coupled with users' psychographic variables, constitutes the knowledge basis for developing individual and multi users models, through which water utilities can test the impact of different management strategies. SmartH2O is an EU funded project which aims at creating an ICT platform able to (i) capture and store quasi real time, high resolution residential water usage data measured with smart meters, (ii) infer the main determinants of residential water end uses and build customers' behavioral models and (iii) predict how the customer behavior can be influenced by various water demand management strategies, spanning from dynamic water pricing schemes to social awareness campaigns. The project exploits a social computing approach for raising users' awareness about water consumption and pursuing water savings in the residential sector. In this work, we first present the SmartH2O platform and data collection, storage and analysis components. We then introduce some preliminary models and results on total water consumption disaggregation into end uses and single user behaviors using innovative fully automated algorithms and overcoming the need of invasive metering campaigns at the fixture level.

Policy Relevance in Studies of Urban Residential Water Demand

NASA Astrophysics Data System (ADS)

Martin, William E.; Thomas, John F.

1986-12-01

Precise estimates of demand elasticities for a given area may not be necessary for policy purposes. Given the general nature of the demand for urban water, simple cross-sectional comparisons of prices and quantities in similar areas may be most reliable for policy use. Short-run elasticities give little information for policy purposes. Comparison of well-defined price and quantity data from five cities with similar arid environments suggests a long-run price elasticity for residential water of about -0.5 over a wide range of water prices. The potential for price adjustments to affect use is enormous.

Residential Consumer-Centric Demand-Side Management Based on Energy Disaggregation-Piloting Constrained Swarm Intelligence: Towards Edge Computing.

PubMed

Lin, Yu-Hsiu; Hu, Yu-Chen

2018-04-27

The emergence of smart Internet of Things (IoT) devices has highly favored the realization of smart homes in a down-stream sector of a smart grid. The underlying objective of Demand Response (DR) schemes is to actively engage customers to modify their energy consumption on domestic appliances in response to pricing signals. Domestic appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption intelligently. Besides, to residential customers for DR implementation, maintaining a balance between energy consumption cost and users’ comfort satisfaction is a challenge. Hence, in this paper, a constrained Particle Swarm Optimization (PSO)-based residential consumer-centric load-scheduling method is proposed. The method can be further featured with edge computing. In contrast with cloud computing, edge computing—a method of optimizing cloud computing technologies by driving computing capabilities at the IoT edge of the Internet as one of the emerging trends in engineering technology—addresses bandwidth-intensive contents and latency-sensitive applications required among sensors and central data centers through data analytics at or near the source of data. A non-intrusive load-monitoring technique proposed previously is utilized to automatic determination of physical characteristics of power-intensive home appliances from users’ life patterns. The swarm intelligence, constrained PSO, is used to minimize the energy consumption cost while considering users’ comfort satisfaction for DR implementation. The residential consumer-centric load-scheduling method proposed in this paper is evaluated under real-time pricing with inclining block rates and is demonstrated in a case study. The experimentation reported in this paper shows the proposed residential consumer-centric load-scheduling method can re-shape loads by home appliances in response to DR signals. Moreover, a phenomenal reduction in peak power consumption is achieved by 13.97%.

The Conservation Nexus: Valuing Interdependent Water and Energy Savings in Phoenix, Arizona

NASA Astrophysics Data System (ADS)

Chester, M.; Bartos, M.

2013-12-01

Energy and water resources are intrinsically linked, yet they are managed separately--even in the water-scarce American southwest. This study develops a spatially-explicit model of water-energy interdependencies in Arizona, and assesses the potential for co-beneficial conservation programs. Arizona consumes 2.8% of its water demand for thermoelectric power and 8% of its electricity demand for water infrastructure--roughly twice the national average. The interdependent benefits of investments in 7 conservation strategies are assessed. Deployment of irrigation retrofits and new reclaimed water facilities dominate potential water savings, while residential and commercial HVAC improvements dominate energy savings. Water conservation policies have the potential to reduce statewide electricity demand by 1.0-2.9%, satisfying 5-14% of mandated energy-efficiency goals. Likewise, adoption of energy-efficiency measures and renewable generation portfolios can reduce non-agricultural water demand by 2.0-2.6%. These co-benefits of conservation investments are typically not included in conservation plans or benefit-cost analyses. Residential water conservation measures produce significant water and energy savings, but are generally not cost-effective at current water prices. An evaluation of the true cost of water in Arizona would allow future water and energy savings to be compared objectively, and would help policymakers allocate scarce resources to the highest-value conservation measures. Water Transfers between Water Cycle Components in Arizona in 2008 Cumulative embedded energy in water cycle components in Arizona in 2008

Residential Care Provision in Medicaid Home- and Community-Based Waivers: A National Study of Program Trends

ERIC Educational Resources Information Center

Kitchner, Martin; Hernandez, Mauro; Ng, Terence; Harrington, Charlene

2006-01-01

Purpose: While state policy and market factors are known to have contributed to the increased supply of residential care, little is known about efforts to accommodate demand from lower-income consumers. This study describes participation and expenditure trends for residential care services funded by Medicaid waivers and examines variation across…

Accounting for the daily locations visited in the study of the built environment correlates of recreational walking (the RECORD Cohort Study).

PubMed

Perchoux, Camille; Kestens, Yan; Brondeel, Ruben; Chaix, Basile

2015-12-01

Understanding how built environment characteristics influence recreational walking is of the utmost importance to develop population-level strategies to increase levels of physical activity in a sustainable manner. This study analyzes the residential and non-residential environmental correlates of recreational walking, using precisely geocoded activity space data. The point-based locations regularly visited by 4365 participants of the RECORD Cohort Study (Residential Environment and CORonary heart Disease) were collected between 2011 and 2013 in the Paris region using the VERITAS software (Visualization and Evaluation of Regular Individual Travel destinations and Activity Spaces). Zero-inflated negative binomial regressions were used to investigate associations between both residential and non-residential environmental exposure and overall self-reported recreational walking over 7 days. Density of destinations, presence of a lake or waterway, and neighborhood education were associated with an increase in the odds of reporting any recreational walking time. Only the density of destinations was associated with an increase in time spent walking for recreational purpose. Considering the recreational locations visited (i.e., sports and cultural destinations) in addition to the residential neighborhood in the calculation of exposure improved the model fit and increased the environment-walking associations, compared to a model accounting only for the residential space (Akaike Information Criterion equal to 52797 compared to 52815). Creating an environment supportive to walking around recreational locations may particularly stimulate recreational walking among people willing to use these facilities. Copyright © 2015 Elsevier Inc. All rights reserved.

Using high frequency consumption data to identify demand response potential for solar energy integration

NASA Astrophysics Data System (ADS)

Jin, L.; Borgeson, S.; Fredman, D.; Hans, L.; Spurlock, A.; Todd, A.

2015-12-01

California's renewable portfolio standard (2012) requires the state to get 33% of its electricity from renewable sources by 2020. Increased share of variable renewable sources such as solar and wind in the California electricity system may require more grid flexibility to insure reliable power services. Such grid flexibility can be potentially provided by changes in end use electricity consumptions in response to grid conditions (demand-response). In the solar case, residential consumption in the late afternoon can be used as reserve capacity to balance the drop in solar generation. This study presents our initial attempt to identify, from a behavior perspective, residential demand response potentials in relation to solar ramp events using a data-driven approach. Based on hourly residential energy consumption data, we derive representative daily load shapes focusing on discretionary consumption with an innovative clustering analysis technique. We aggregate the representative load shapes into behavior groups in terms of the timing and rhythm of energy use in the context of solar ramp events. Households of different behavior groups that are active during hours with high solar ramp rates are identified for capturing demand response potential. Insights into the nature and predictability of response to demand-response programs are provided.

How Does the Context of Reception Matter? The Role of Residential Enclaves in Maternal Smoking During Pregnancy Among Mexican-Origin Mothers.

PubMed

Noah, Aggie J; Landale, Nancy S; Sparks, Corey S

2015-08-01

This study investigated whether and how different patterns of group exposure within residential contexts (i.e., living in a Mexican immigrant enclave, a Mexican ethnic enclave, a pan-Hispanic enclave, or a non-Hispanic white neighborhood) are associated with smoking during pregnancy among Mexican-origin mothers. Using a hierarchical linear modeling approach, we found that Mexican-origin mothers' residential contexts are important for understanding their smoking during pregnancy. Residence in an ethnic enclave is associated with decreased odds of smoking during pregnancy, while residence in a non-Hispanic white neighborhood is associated with increased odds of smoking during pregnancy, above and beyond the mothers' individual characteristics. The magnitude of the associations between residence in an ethnic enclave and smoking during pregnancy is similar across the different types of ethnic enclaves examined. The important roles of inter- and intra-group exposures suggests that in order to help Mexican-origin women, policy makers should more carefully design place-based programs and interventions that target geographic areas and the specific types of residential contexts in which women are at greater risk.

28 CFR 550.52 - Non-residential drug abuse treatment services.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Non-residential drug abuse treatment... INSTITUTIONAL MANAGEMENT DRUG PROGRAMS Drug Abuse Treatment Program § 550.52 Non-residential drug abuse treatment services. All institutions must have non-residential drug abuse treatment services, provided...

28 CFR 550.52 - Non-residential drug abuse treatment services.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Non-residential drug abuse treatment... INSTITUTIONAL MANAGEMENT DRUG PROGRAMS Drug Abuse Treatment Program § 550.52 Non-residential drug abuse treatment services. All institutions must have non-residential drug abuse treatment services, provided...

28 CFR 550.52 - Non-residential drug abuse treatment services.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Non-residential drug abuse treatment... INSTITUTIONAL MANAGEMENT DRUG PROGRAMS Drug Abuse Treatment Program § 550.52 Non-residential drug abuse treatment services. All institutions must have non-residential drug abuse treatment services, provided...

28 CFR 550.52 - Non-residential drug abuse treatment services.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Non-residential drug abuse treatment... INSTITUTIONAL MANAGEMENT DRUG PROGRAMS Drug Abuse Treatment Program § 550.52 Non-residential drug abuse treatment services. All institutions must have non-residential drug abuse treatment services, provided...

28 CFR 550.52 - Non-residential drug abuse treatment services.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Non-residential drug abuse treatment... INSTITUTIONAL MANAGEMENT DRUG PROGRAMS Drug Abuse Treatment Program § 550.52 Non-residential drug abuse treatment services. All institutions must have non-residential drug abuse treatment services, provided...

Small Business Voucher CRADA Report: Natural Gas Powered HVAC System for Commercial and Residential Buildings

DOE Office of Scientific and Technical Information (OSTI.GOV)

Betts, Daniel; Ally, Moonis Raza; Mudiraj, Shyam

Be Power Tech is commercializing BeCool, the first integrated electricity-producing heating, ventilation, and air conditioning (HVAC) system using a non-vapor compression cycle (VCC), packaged rooftop HVAC unit that also produces base-load electricity, heating, ventilation, and air conditioning. BeCool is a distributed energy resource with energy storage that eliminates the tremendous peak electricity demand associated with commonly used electricity-powered vapor compression air conditioning systems.

National Plug-In Electric Vehicle Infrastructure Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wood, Eric W.; Rames, Clement L.; Muratori, Matteo

This document describes a study conducted by the National Renewable Energy Laboratory quantifying the charging station infrastructure required to serve the growing U.S. fleet of plug-in electric vehicles (PEVs). PEV sales, which include plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs), have surged recently. Most PEV charging occurs at home, but widespread PEV adoption will require the development of a national network of non-residential charging stations. Installation of these stations strategically would maximize the economic viability of early stations while enabling efficient network growth as the PEV market matures. This document describes what effective co-evolution of the PEVmore » fleet and charging infrastructure might look like under a range of scenarios. To develop the roadmap, NREL analyzed PEV charging requirements along interstate corridors and within urban and rural communities. The results suggest that a few hundred corridor fast-charging stations could enable long-distance BEV travel between U.S. cities. Compared to interstate corridors, urban and rural communities are expected to have significantly larger charging infrastructure requirements. About 8,000 fast-charging stations would be required to provide a minimum level of coverage nationwide. In an expanding PEV market, the total number of non-residential charging outlets or 'plugs' required to meet demand ranges from around 100,000 to more than 1.2 million. Understanding what drives this large range in capacity requirements is critical. For example, whether consumers prefer long-range or short-range PEVs has a larger effect on plug requirements than does the total number of PEVs on the road. The relative success of PHEVs versus BEVs also has a major impact, as does the number of PHEVs that charge away from home. This study shows how important it is to understand consumer preferences and driving behaviors when planning charging networks.« less

National Plug-In Electric Vehicle Infrastructure Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Muratori, Matteo; Rames, Clement L; Srinivasa Raghavan, Sesha

This presentation describes a study conducted by the National Renewable Energy Laboratory quantifying the charging station infrastructure required to serve the growing U.S. fleet of plug-in electric vehicles (PEVs). PEV sales, which include plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs), have surged recently. Most PEV charging occurs at home, but widespread PEV adoption will require the development of a national network of non-residential charging stations. Installation of these stations strategically would maximize the economic viability of early stations while enabling efficient network growth as the PEV market matures. This document describes what effective co-evolution of the PEVmore » fleet and charging infrastructure might look like under a range of scenarios. To develop the roadmap, NREL analyzed PEV charging requirements along interstate corridors and within urban and rural communities. The results suggest that a few hundred corridor fast-charging stations could enable long-distance BEV travel between U.S. cities. Compared to interstate corridors, urban and rural communities are expected to have significantly larger charging infrastructure requirements. About 8,000 fast-charging stations would be required to provide a minimum level of coverage nationwide. In an expanding PEV market, the total number of non-residential charging outlets or 'plugs' required to meet demand ranges from around 100,000 to more than 1.2 million. Understanding what drives this large range in capacity requirements is critical. For example, whether consumers prefer long-range or short-range PEVs has a larger effect on plug requirements than does the total number of PEVs on the road. The relative success of PHEVs versus BEVs also has a major impact, as does the number of PHEVs that charge away from home. This study shows how important it is to understand consumer preferences and driving behaviors when planning charging networks.« less

Electricity savings potentials in the residential sector of Bahrain

DOE Office of Scientific and Technical Information (OSTI.GOV)

Akbari, H.; Morsy, M.G.; Al-Baharna, N.S.

1996-08-01

Electricity is the major fuel (over 99%) used in the residential, commercial, and industrial sectors in Bahrain. In 1992, the total annual electricity consumption in Bahrain was 3.45 terawatt-hours (TWh), of which 1.95 TWh (56%) was used in the residential sector, 0.89 TWh (26%) in the commercial sector, and 0.59 TWh (17%) in the industrial sector. Agricultural energy consumption was 0.02 TWh (less than 1%) of the total energy use. In Bahrain, most residences are air conditioned with window units. The air-conditioning electricity use is at least 50% of total annual residential use. The contribution of residential AC to themore » peak power consumption is even more significant, approaching 80% of residential peak power demand. Air-conditioning electricity use in the commercial sector is also significant, about 45% of the annual use and over 60% of peak power demand. This paper presents a cost/benefit analysis of energy-efficient technologies in the residential sector. Technologies studied include: energy-efficient air conditioners, insulating houses, improved infiltration, increasing thermostat settings, efficient refrigerators and freezers, efficient water heaters, efficient clothes washers, and compact fluorescent lights. We conservatively estimate a 32% savings in residential electricity use at an average cost of about 4 fils per kWh. (The subsidized cost of residential electricity is about 12 fils per kWh. 1000 fils = 1 Bahrain Dinar = US$ 2.67). We also discuss major policy options needed for implementation of energy-efficiency technologies.« less

Understanding the response of commercial and institutional organizations to the California energy crisis. A report to the California Energy Commission - Sylvia Bender, Project Manager

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lutzenhiser, Loren; Janda, Kathryn; Kunkle, Rick

2002-07-24

Beginning in the summer of 2000, California experienced serious energy supply problems, sharp increases in wholesale (and retail) electricity and natural gas prices, and isolated blackouts. In response to the rapidly worsening electricity situation in California in late 2000, the state set, as an initial goal, the reduction of the state's peak demand for the summer of 2001 by 5,000 megawatts. To meet this goal, the governor and legislature took a variety of steps to enhance supply, encourage rapid voluntary reductions in demand, and provide incentives for actions that would result in load reductions. Three bills-Assembly Bill 970, Senate Billmore » X1 5 and Assembly Bill X1 29-allocated roughly $950 million for consumption and demand reduction programs. The governor also enacted a variety of additional measures, including the ''Flex Your Power'' (media awareness and direct business involvement) campaign, requirements for retail sector outdoor lighting reductions, and toughening of energy efficiency building codes. There were, in fact, significant reductions in electricity demand in California during the summer of 2001 and the large number of expected supply disruptions was avoided. To understand the nature of these demand reductions and the motivations for consumer response, Washington State University (WSU) undertook a study for the California Energy Commission (CEC) focusing on conservation behavior in the residential, commercial, and agricultural sectors. The research presented in this report represents an exploration of the response of commercial and institutional organizations to the California energy situation and the unique set of influences that existed during this time. These influences included informational messages and media attention, program interventions, price changes, and external triggering events (e.g., blackouts). To better understand the effects of these influences on organizational response to the energy situation, we conducted 84 semi-structured inter views with members of commercial and institutional organizations (many of which participated in three different California Energy Commission Programs) and with 21 key informants representing program managers, administrators, and aggregators as well as a small number of energy service providers and utilities. Separate reports examine the consumer response in the residential and agricultural sectors.« less

Radon and COPD mortality in the American Cancer Society Cohort

PubMed Central

Turner, Michelle C.; Krewski, Daniel; Chen, Yue; Pope, C. Arden; Gapstur, Susan M.; Thun, Michael J.

2012-01-01

Although radon gas is a known cause of lung cancer, the association between residential radon and mortality from non-malignant respiratory disease has not been well characterised. The Cancer Prevention Study-II is a large prospective cohort study of nearly 1.2 million Americans recruited in 1982. Mean county-level residential radon concentrations were linked to study participants' residential address based on their ZIP code at enrolment (mean±sd 53.5±38.0 Bq·m−3). Cox proportional hazards regression models were used to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for non-malignant respiratory disease mortality associated with radon concentrations. After necessary exclusions, a total of 811,961 participants in 2,754 counties were included in the analysis. Throughout 2006, there were a total of 28,300 non-malignant respiratory disease deaths. Radon was significantly associated with chronic obstructive pulmonary disease (COPD) mortality (HR per 100 Bq·m−3 1.13, 95% CI 1.05–1.21). There was a significant positive linear trend in COPD mortality with increasing categories of radon concentrations (p<0.05). Findings suggest residential radon may increase COPD mortality. Further research is needed to confirm this finding and to better understand possible complex inter-relationships between radon, COPD and lung cancer. PMID:22005921

Nursing staff work patterns in a residential aged care home: a time-motion study.

PubMed

Qian, Siyu; Yu, Ping; Hailey, David

2016-11-01

Objective Residential aged care services are challenged by an increasing number of residents and a shortage of nursing staff. Developing strategies to overcome this challenge requires an understanding of nursing staff work patterns. The aim of the present study was to investigate the work processes followed by nursing staff and how nursing time is allocated in a residential aged care home. Methods An observational time-motion study was conducted at two aged care units for 12 morning shifts. Seven nurses were observed, one per shift. Results In all, there were 91h of observation. The results showed that there was a common work process followed by all nurse participants. Medication administration, documentation and verbal communication were the most time-consuming activities and were conducted most frequently. No significant difference between the two units was found in any category of activities. The average duration of most activities was less than 1min. There was no difference in time utilisation between the endorsed enrolled nurses and the personal carers in providing nursing care. Conclusion Medication administration, documentation and verbal communication were the major tasks in morning shifts in a residential aged care home. Future research can investigate how verbal communication supports nursing care. What is known about the topic? The aging population will substantially increase the demand for residential aged care services. There is a lack of research on nurses' work patterns in residential aged care homes. What does this paper add? The present study provides a comprehensive understanding of nurses' work patterns in a residential aged care home. There is a common work process followed by nurses in providing nursing care. Medication administration, verbal communication and documentation are the most time-consuming activities and they are frequently conducted in the same period of time. Wound care, physical review and documentation on desktop computers are arranged flexibly by the nurses. What are the implications for practitioners? When developing a task reallocation strategy to improve work efficiency, effort can be put into tasks that can be arranged more flexibly.

Retail redlining in New York City: racialized access to day-to-day retail resources.

PubMed

Kwate, Naa Oyo A; Loh, Ji Meng; White, Kellee; Saldana, Nelson

2013-08-01

Racial residential segregation is associated with health inequalities in the USA, and one of the primary mechanisms is through influencing features of the neighborhood physical environment. To better understand how Black residential segregation might contribute to health risk, we examined retail redlining; the inequitable distribution of retail resources across racially distinct areas. A combination of visual and analytic methods was used to investigate whether predominantly Black census block groups in New York City had poor access to retail stores important for health. After controlling for retail demand, median household income, population density, and subway ridership, percent Black was associated with longer travel distances to various retail industries. Our findings suggest that Black neighborhoods in New York City face retail redlining. Future research is needed to determine how retail redlining may perpetuate health disparities and socioeconomic disadvantage.

A multi-paradigm framework to assess the impacts of climate change on end-use energy demand.

PubMed

Nateghi, Roshanak; Mukherjee, Sayanti

2017-01-01

Projecting the long-term trends in energy demand is an increasingly complex endeavor due to the uncertain emerging changes in factors such as climate and policy. The existing energy-economy paradigms used to characterize the long-term trends in the energy sector do not adequately account for climate variability and change. In this paper, we propose a multi-paradigm framework for estimating the climate sensitivity of end-use energy demand that can easily be integrated with the existing energy-economy models. To illustrate the applicability of our proposed framework, we used the energy demand and climate data in the state of Indiana to train a Bayesian predictive model. We then leveraged the end-use demand trends as well as downscaled future climate scenarios to generate probabilistic estimates of the future end-use demand for space cooling, space heating and water heating, at the individual household and building level, in the residential and commercial sectors. Our results indicated that the residential load is much more sensitive to climate variability and change than the commercial load. Moreover, since the largest fraction of the residential energy demand in Indiana is attributed to heating, future warming scenarios could lead to reduced end-use demand due to lower space heating and water heating needs. In the commercial sector, the overall energy demand is expected to increase under the future warming scenarios. This is because the increased cooling load during hotter summer months will likely outpace the reduced heating load during the more temperate winter months.

A multi-paradigm framework to assess the impacts of climate change on end-use energy demand

PubMed Central

Nateghi, Roshanak

2017-01-01

Projecting the long-term trends in energy demand is an increasingly complex endeavor due to the uncertain emerging changes in factors such as climate and policy. The existing energy-economy paradigms used to characterize the long-term trends in the energy sector do not adequately account for climate variability and change. In this paper, we propose a multi-paradigm framework for estimating the climate sensitivity of end-use energy demand that can easily be integrated with the existing energy-economy models. To illustrate the applicability of our proposed framework, we used the energy demand and climate data in the state of Indiana to train a Bayesian predictive model. We then leveraged the end-use demand trends as well as downscaled future climate scenarios to generate probabilistic estimates of the future end-use demand for space cooling, space heating and water heating, at the individual household and building level, in the residential and commercial sectors. Our results indicated that the residential load is much more sensitive to climate variability and change than the commercial load. Moreover, since the largest fraction of the residential energy demand in Indiana is attributed to heating, future warming scenarios could lead to reduced end-use demand due to lower space heating and water heating needs. In the commercial sector, the overall energy demand is expected to increase under the future warming scenarios. This is because the increased cooling load during hotter summer months will likely outpace the reduced heating load during the more temperate winter months. PMID:29155862

Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect

PubMed Central

Shiraki, Hiroto; Ashina, Shuichi

2018-01-01

After the severe nuclear disaster in Fukushima, which was triggered by the Great East Japan earthquake in March 2011, nuclear power plants in Japan were temporarily shut down for mandatory inspections. To prevent large-scale blackouts, the Japanese government requested companies and households to reduce electricity consumption in summer and winter. It is reported that the domestic electricity demand had a structural decrease because of the electricity conservation effect (ECE). However, quantitative analysis of the ECE is not sufficient, and especially time variation of the ECE remains unclear. Understanding the ECE is important because Japan’s NDC (nationally determined contribution) assumes the reduction of CO2 emissions through aggressive energy conservation. In this study, we develop a time series model of monthly electricity demand in Japan and estimate time variation of the ECE. Moreover, we evaluate the impact of electricity conservation on CO2 emissions from power plants. The dynamic linear model is used to separate the ECE from the effects of other irrelevant factors (e.g. air temperature, economic production, and electricity price). Our result clearly shows that consumers’ electricity conservation behavior after the earthquake was not temporary but became established as a habit. Between March 2011 and March 2016, the ECE on industrial electricity demand ranged from 3.9% to 5.4%, and the ECE on residential electricity demand ranged from 1.6% to 7.6%. The ECE on the total electricity demand was estimated at 3.2%–6.0%. We found a seasonal pattern that the residential ECE in summer is higher than that in winter. The emissions increase from the shutdown of nuclear power plants was mitigated by electricity conservation. The emissions reduction effect was estimated at 0.82 MtCO2–2.26 MtCO2 (−4.5% on average compared to the zero-ECE case). The time-varying ECE is necessary for predicting Japan’s electricity demand and CO2 emissions after the earthquake. PMID:29708988

Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect.

PubMed

Honjo, Keita; Shiraki, Hiroto; Ashina, Shuichi

2018-01-01

After the severe nuclear disaster in Fukushima, which was triggered by the Great East Japan earthquake in March 2011, nuclear power plants in Japan were temporarily shut down for mandatory inspections. To prevent large-scale blackouts, the Japanese government requested companies and households to reduce electricity consumption in summer and winter. It is reported that the domestic electricity demand had a structural decrease because of the electricity conservation effect (ECE). However, quantitative analysis of the ECE is not sufficient, and especially time variation of the ECE remains unclear. Understanding the ECE is important because Japan's NDC (nationally determined contribution) assumes the reduction of CO2 emissions through aggressive energy conservation. In this study, we develop a time series model of monthly electricity demand in Japan and estimate time variation of the ECE. Moreover, we evaluate the impact of electricity conservation on CO2 emissions from power plants. The dynamic linear model is used to separate the ECE from the effects of other irrelevant factors (e.g. air temperature, economic production, and electricity price). Our result clearly shows that consumers' electricity conservation behavior after the earthquake was not temporary but became established as a habit. Between March 2011 and March 2016, the ECE on industrial electricity demand ranged from 3.9% to 5.4%, and the ECE on residential electricity demand ranged from 1.6% to 7.6%. The ECE on the total electricity demand was estimated at 3.2%-6.0%. We found a seasonal pattern that the residential ECE in summer is higher than that in winter. The emissions increase from the shutdown of nuclear power plants was mitigated by electricity conservation. The emissions reduction effect was estimated at 0.82 MtCO2-2.26 MtCO2 (-4.5% on average compared to the zero-ECE case). The time-varying ECE is necessary for predicting Japan's electricity demand and CO2 emissions after the earthquake.

Racial Differences in the Effects of Neighborhood Disadvantage on Residential Mobility in Later Life

PubMed Central

Riley, Alicia; Cagney, Kathleen A.

2016-01-01

Objectives: Past research on the residential mobility of older adults has focused on individual-level factors and life course events. Less attention has been paid to the role of the residential environment in explaining residential mobility in older adults. We sought to understand whether neighborhood disadvantage had predictive utility in explaining residential relocation patterns, and whether associations differed between Whites and non-Whites. Method: Data are from the National Social Life, Health and Aging Project, a nationally representative sample of community-dwelling older adults. Neighborhoods were defined at the census tract level. Local movers (different census tract, same county) and distant movers (different county) were compared with stayers. Results: After adjusting for individual-level factors, neighborhood disadvantage increased the likelihood of a local move, regardless of race/ethnicity. For non-Whites, higher neighborhood disadvantage decreased the likelihood of a distant move. Among local movers, Blacks and Latinos were less likely to improve neighborhood quality than Whites. Discussion: Neighborhood disadvantage may promote local mobility by undermining person–environment fit. Racial differences in access to better neighborhoods persist in later life. Future research should explore how older adults optimize person–environment fit in the face of neighborhood disadvantage when the possibility of relocation to a better neighborhood may be restricted. PMID:27257227

MODEL FOR INSTANTANEOUS RESIDENTIAL WATER DEMANDS

EPA Science Inventory

Residential wateer use is visualized as a customer-server interaction often encountered in queueing theory. Individual customers are assumed to arrive according to a nonhomogeneous Poisson process, then engage water servers for random lengths of time. Busy servers are assumed t...

Expert opinion on risks to the long-term viability of residential recycled water schemes: An Australian study.

PubMed

West, Camilla; Kenway, Steven; Hassall, Maureen; Yuan, Zhiguo

2017-09-01

The water sector needs to make efficient and prudent investment decisions by carefully considering the long-term viability of water infrastructure projects. To support the assessment and planning of residential recycled water schemes in Australia, we have sought to clarify scheme objectives and to further define the array of critical risks that can impact the long-term viability of schemes. Building on historical information, we conducted a national survey which elicited responses from 88 Australian expert practitioners, of which 64% have over 10 years of industry experience and 42% have experience with more than five residential recycled water schemes. On the basis of expert opinion, residential recycled water schemes are considered to be highly relevant for diversifying and improving water supply security, reducing wastewater effluent discharge and pollutant load to waterways and contributing to sustainable urban development. At present however, the inability to demonstrate an incontestable business case is posing a significant risk to the long-term viability of residential recycled water schemes. Political, regulatory, organisational and financial factors were also rated as critical risks, in addition to community risk perception and fall in demand. The survey results shed further light on the regulatory environment of residential recycled water schemes, with regulatory participants rating the level and impact of risk factors higher than other survey participants in most cases. The research outcomes provide a comprehensive understanding of the critical risks to the long-term viability of residential recycled water schemes, thereby enabling the specification of targeted risk management measures at the assessment and planning stage of a scheme. Copyright © 2017 Elsevier Ltd. All rights reserved.

Wood products and other building materials used in new residential construction in Canada, with comparison to previous studies

Treesearch

Joe Elling; David B. McKeever

2015-01-01

New residential construction is a critical driver of the demand for lumber, structural panels and engineered wood products in Canada. For the period 2010 through 2013, residential construction accounted for roughly 23 percent of the lumber consumed in Canada and 47 percent of structural panel usage. Insufficient data concerning imports and exports prevent estimates of...

Water scarcity, market-based incentives, and consumer response

NASA Astrophysics Data System (ADS)

Krause, K.; Chermak, J. M.; Brookshire, D. S.

2003-04-01

Water is an increasingly scarce resource and the future viability of many regions will depend in large part on how efficiently resources are utilized. A key factor to this success will be a thorough understanding of consumers and the characteristics that drive their water use. In this research test and find support for the hypothesis that residential water consumers are heterogeneous. We combine experimental and survey responses to test for statistically significant consumer characteristics that are observable factors of demand for water. Significant factors include "stage of life" (i.e., student versus workforce versus retired), as well as various social and cultural factors including age, ethnicity, political affiliation and religious affiliation. Identification of these characteristics allows us to econometrically estimate disaggregated water demand for a sample of urban water consumers in Albuquerque, New Mexico, USA. The results provide unique parameter estimates for different consumer types. Using these results we design an incentive compatible, non-linear pricing program that allows individual consumers to choose a fixed fee/commodity charge from a menu that not only allows the individual to maximize his or her utility, while meeting the conservation goals of the program. We show that this program, with the attention to consumer differences is more efficient than the traditional "one size fits all" programs commonly employed by many water utilities.

Structural Code Considerations for Solar Rooftop Installations.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dwyer, Stephen F.; Dwyer, Brian P.; Sanchez, Alfred

2014-12-01

Residential rooftop solar panel installations are limited in part by the high cost of structural related code requirements for field installation. Permitting solar installations is difficult because there is a belief among residential permitting authorities that typical residential rooftops may be structurally inadequate to support the additional load associated with a photovoltaic (PV) solar installation. Typical engineering methods utilized to calculate stresses on a roof structure involve simplifying assumptions that render a complex non-linear structure to a basic determinate beam. This method of analysis neglects the composite action of the entire roof structure, yielding a conservative analysis based on amore » rafter or top chord of a truss. Consequently, the analysis can result in an overly conservative structural analysis. A literature review was conducted to gain a better understanding of the conservative nature of the regulations and codes governing residential construction and the associated structural system calculations.« less

EPA'S PHOTOVOLTAIC DEMAND-SIDE MANAGEMENT COST-SHARED DEMONSTRATIONS

EPA Science Inventory

The paper discusses an investigation of how photovoltaics (PV) may be used as both a pollution-mitigating energy replacement for fossil fuels and a demand-side management (DSM) option to reduce peak electrical demands of commercial and residential buildings. leven electric utilit...

U.S. EPA'S PHOTOVOLTAIC DEMAND-SIDE MANAGEMENT PROJECT

EPA Science Inventory

The paper discusses an investigation of how photovoltaic (PV) may be used as both a pollution-mitigating energy replacement for fossil fuels and a demand-side management (DSM) option to reduce peak electrical demands of commercial and residential buildings. leven electric utiliti...

How Does the Context of Reception Matter? The Role of Residential Enclaves in Maternal Smoking During Pregnancy Among Mexican-Origin Mothers

PubMed Central

Noah, Aggie J.; Landale, Nancy S.; Sparks, Corey S.

2015-01-01

This study investigated whether and how different patterns of group exposure within residential contexts (i.e., living in a Mexican immigrant enclave, a Mexican ethnic enclave, a pan-Hispanic enclave, or a non-Hispanic white neighborhood) are associated with smoking during pregnancy among Mexican-origin mothers. Using a hierarchical linear modeling approach, we found that Mexican-origin mothers’ residential contexts are important for understanding their smoking during pregnancy. Residence in an ethnic enclave is associated with decreased odds of smoking during pregnancy, while residence in a non-Hispanic white neighborhood is associated with increased odds of smoking during pregnancy, above and beyond the mothers’ individual characteristics. The magnitude of the associations between residence in an ethnic enclave and smoking during pregnancy is similar across the different types of ethnic enclaves examined. The important roles of inter- and intra-group exposures suggests that in order to help Mexican-origin women, policy makers should more carefully design place-based programs and interventions that target geographic areas and the specific types of residential contexts in which women are at greater risk. PMID:25652060

Distributed Generation Market Demand Model | NREL

Science.gov Websites

Demand Model The Distributed Generation Market Demand (dGen) model simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the dGen model can help develop deployment forecasts for distributed resources, including sensitivity to

Moving beyond the residential neighborhood to explore social inequalities in exposure to area-level disadvantage: Results from the Interdisciplinary Study on Inequalities in Smoking.

PubMed

Shareck, Martine; Kestens, Yan; Frohlich, Katherine L

2014-05-01

The focus, in place and health research, on a single, residential, context overlooks the fact that individuals are mobile and experience other settings in the course of their daily activities. Socio-economic characteristics are associated with activity patterns, as well as with the quality of places where certain groups conduct activities, i.e. their non-residential activity space. Examining how measures of exposure to resources, and inequalities thereof, compare between residential and non-residential contexts is required. Baseline data from 1890 young adults (18-25 years-old) participating in the Interdisciplinary Study of Inequalities in Smoking, Montreal, Canada (2011-2012), were analyzed. Socio-demographic and activity location data were collected using a validated, self-administered questionnaire. Area-level material deprivation was measured within 500-m road-network buffer zones around participants' residential and activity locations. Deprivation scores in the residential area and non-residential activity space were compared between social groups. Multivariate linear regression was used to estimate associations between individual- and area-level characteristics and non-residential activity space deprivation, and to explore whether these characteristics attenuated the education-deprivation association. Participants in low educational categories lived and conducted activities in more disadvantaged areas than university students/graduates. Educational inequalities in exposure to area-level deprivation were larger in the non-residential activity space than in the residential area for the least educated, but smaller for the intermediate group. Adjusting for selected covariates such as transportation resources and residential deprivation did not significantly attenuate the education-deprivation associations. Results support the existence of social isolation in residential areas and activity locations, whereby less educated individuals tend to be confined to more disadvantaged areas than their more educated counterparts. They also highlight the relevance of investigating both residential and non-residential contexts when studying inequalities in health-relevant exposures. Copyright © 2014 Elsevier Ltd. All rights reserved.

Analytical optimization of demand management strategies across all urban water use sectors

NASA Astrophysics Data System (ADS)

Friedman, Kenneth; Heaney, James P.; Morales, Miguel; Palenchar, John

2014-07-01

An effective urban water demand management program can greatly influence both peak and average demand and therefore long-term water supply and infrastructure planning. Although a theoretical framework for evaluating residential indoor demand management has been well established, little has been done to evaluate other water use sectors such as residential irrigation in a compatible manner for integrating these results into an overall solution. This paper presents a systematic procedure to evaluate the optimal blend of single family residential irrigation demand management strategies to achieve a specified goal based on performance functions derived from parcel level tax assessor's data linked to customer level monthly water billing data. This framework is then generalized to apply to any urban water sector, as exponential functions can be fit to all resulting cumulative water savings functions. Two alternative formulations are presented: maximize net benefits, or minimize total costs subject to satisfying a target water savings. Explicit analytical solutions are presented for both formulations based on appropriate exponential best fits of performance functions. A direct result of this solution is the dual variable which represents the marginal cost of water saved at a specified target water savings goal. A case study of 16,303 single family irrigators in Gainesville Regional Utilities utilizing high quality tax assessor and monthly billing data along with parcel level GIS data provide an illustrative example of these techniques. Spatial clustering of targeted homes can be easily performed in GIS to identify priority demand management areas.

Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand.

PubMed

Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

2015-01-01

Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers' peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers' location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual 'map' of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations and highlighted that household numbers, demographics as well as the different climates were significant factors. It presented possible network peak demand reductions which would delay any upgrade of networks, resulting in savings for Queensland utilities and ultimately for households. The use of this systems approach using Bayesian networks to assist the management of peak demand in different modelled locations in Queensland provided insights about the most important elements in the system and the intervention strategies that could be tailored to the targeted customer segments.

Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand

PubMed Central

Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

2015-01-01

Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers’ peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers’ location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual ‘map’ of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations and highlighted that household numbers, demographics as well as the different climates were significant factors. It presented possible network peak demand reductions which would delay any upgrade of networks, resulting in savings for Queensland utilities and ultimately for households. The use of this systems approach using Bayesian networks to assist the management of peak demand in different modelled locations in Queensland provided insights about the most important elements in the system and the intervention strategies that could be tailored to the targeted customer segments. PMID:26226511

Residential solar-heating system

NASA Technical Reports Server (NTRS)

1978-01-01

Complete residential solar-heating and hot-water system, when installed in highly-insulated energy-saver home, can supply large percentage of total energy demand for space heating and domestic hot water. System which uses water-heating energy storage can be scaled to meet requirements of building in which it is installed.

Spatial analysis of private tanker water markets in Jordan: Using a hydroeconomic multi-agent model to simulate non-observed water transfers

NASA Astrophysics Data System (ADS)

Klassert, Christian; Yoon, Jim; Gawel, Erik; Sigel, Katja; Klauer, Bernd; Talozi, Samer; Lachaut, Thibaut; Selby, Philip; Knox, Stephen; Gorelick, Steven; Tilmant, Amaury; Harou, Julien; Mustafa, Daanish; Medellin-Azuara, Josue; Rajsekhar, Deepthi; Avisse, Nicolas; Zhang, Hua

2017-04-01

The country of Jordan is characterized by severe water scarcity and deficient public water supply networks. To address these issues, Jordan's water sector authorities have adopted a water rationing scheme implemented by interrupting piped water supply for several days per week. As in many arid countries around the world, this has led to the emergence of private markets of small-scale providers, delivering water via tanker trucks. On the one hand, these markets play a crucial role in meeting residential and commercial water demands by balancing the shortcomings of the public supply system. On the other hand, providers partially rely on illegal abstractions from rural ground and surface water sources, thereby circumventing regulatory efforts to conserve these resources. Private tanker water markets, therefore, provide a substantial contribution to consumer welfare while jeopardizing freshwater resource sustainability. Thus, a better understanding of these markets is of great importance for the formulation of policy interventions pursuing freshwater sustainability in a socially acceptable manner. Direct assessments of the size of these markets or their responses to policy interventions are, however, impeded by their partially illegal nature and the resulting lack of available information. To overcome this data collection challenge, we use a hydroeconomic multi-agent model developed in the Jordan Water Project to indirectly simulate country-wide tanker water market activities on the basis of demand and supply estimates. The demand for tanker water is conceptualized as a residual demand, remaining after a water user has depleted all available cheap and qualitatively reliable piped water. It is derived from residential and commercial demand functions on the basis of survey data. Tanker water supply is determined by farm simulation models calculating the groundwater pumping cost and the agricultural opportunity cost of tanker water. Finally, a spatial market algorithm matches rural supplies with users' demands across the 89 subdistricts of Jordan. This algorithm is parameterized with survey data we collected on tanker operators' transport costs and profit expectations. The model is successfully validated with available data on tanker truck registrations and tanker water prices. Model results reveal the spatial distribution of the private tanker markets' freshwater extractions, sales quantities, and economic impacts on different water user groups across all of Jordan. The results confirm the quantitative importance of these markets for consumer welfare. A dynamic coupling of farm agents with a country-wide groundwater model allows us to capture feedbacks between tanker water markets and groundwater levels. This enables us to assess policy impacts over time. Model analyses show that policies aiming to mitigate the negative sustainability impacts of private tanker water markets need to simultaneously address the shortcomings of the piped water supply system in order to avoid undue burdens on water users.

Construction and demolition waste indicators.

PubMed

Mália, Miguel; de Brito, Jorge; Pinheiro, Manuel Duarte; Bravo, Miguel

2013-03-01

The construction industry is one of the biggest and most active sectors of the European Union (EU), consuming more raw materials and energy than any other economic activity. Furthermore, construction waste is the commonest waste produced in the EU. Current EU legislation sets out to implement construction and demolition waste (CDW) prevention and recycling measures. However it lacks tools to accelerate the development of a sector as bound by tradition as the building industry. The main objective of the present study was to determine indicators to estimate the amount of CDW generated on site both globally and by waste stream. CDW generation was estimated for six specific sectors: new residential construction, new non-residential construction, residential demolition, non-residential demolition, residential refurbishment, and non-residential refurbishment. The data needed to develop the indicators was collected through an exhaustive survey of previous international studies. The indicators determined suggest that the average composition of waste generated on site is mostly concrete and ceramic materials. Specifically for new residential and new non-residential construction the production of concrete waste in buildings with a reinforced concrete structure lies between 17.8 and 32.9 kg m(-2) and between 18.3 and 40.1 kg m(-2), respectively. For the residential and non-residential demolition sectors the production of this waste stream in buildings with a reinforced concrete structure varies from 492 to 840 kg m(-2) and from 401 to 768 kg/m(-2), respectively. For the residential and non-residential refurbishment sectors the production of concrete waste in buildings lies between 18.9 and 45.9 kg/m(-2) and between 18.9 and 191.2 kg/m(-2), respectively.

Cost function approach for estimating derived demand for composite wood products

Treesearch

T. C. Marcin

1991-01-01

A cost function approach was examined for using the concept of duality between production and input factor demands. A translog cost function was used to represent residential construction costs and derived conditional factor demand equations. Alternative models were derived from the translog cost function by imposing parameter restrictions.

Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings

DOE PAGES

Cui, Borui; Gao, Dian-ce; Xiao, Fu; ...

2016-12-23

This article provides a method in comprehensive evaluation of cost-saving potential of active cool thermal energy storage (CTES) integrated with HVAC system for demand management in non-residential building. The active storage is beneficial by shifting peak demand for peak load management (PLM) as well as providing longer duration and larger capacity of demand response (DR). In this research, a model-based optimal design method using genetic algorithm is developed to optimize the capacity of active CTES aiming for maximizing the life-cycle cost saving concerning capital cost associated with storage capacity as well as incentives from both fast DR and PLM. Inmore » the method, the active CTES operates under a fast DR control strategy during DR events while under the storage-priority operation mode to shift peak demand during normal days. The optimal storage capacities, maximum annual net cost saving and corresponding power reduction set-points during DR event are obtained by using the proposed optimal design method. Lastly, this research provides guidance in comprehensive evaluation of cost-saving potential of CTES integrated with HVAC system for building demand management including both fast DR and PLM.« less

Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cui, Borui; Gao, Dian-ce; Xiao, Fu

This article provides a method in comprehensive evaluation of cost-saving potential of active cool thermal energy storage (CTES) integrated with HVAC system for demand management in non-residential building. The active storage is beneficial by shifting peak demand for peak load management (PLM) as well as providing longer duration and larger capacity of demand response (DR). In this research, a model-based optimal design method using genetic algorithm is developed to optimize the capacity of active CTES aiming for maximizing the life-cycle cost saving concerning capital cost associated with storage capacity as well as incentives from both fast DR and PLM. Inmore » the method, the active CTES operates under a fast DR control strategy during DR events while under the storage-priority operation mode to shift peak demand during normal days. The optimal storage capacities, maximum annual net cost saving and corresponding power reduction set-points during DR event are obtained by using the proposed optimal design method. Lastly, this research provides guidance in comprehensive evaluation of cost-saving potential of CTES integrated with HVAC system for building demand management including both fast DR and PLM.« less

New York | Midmarket Solar Policies in the United States | Solar Research |

Science.gov Websites

solar within the state. The statewide solar incentives program, NY-Sun, offers loans and grants for non viability. System size limit: Solar: 25 kW for residential; 100 kW for farms; 2 MW for non-residential. PSEG Long Island: 25 kW for residential solar, 2 MW for non-residential solar Aggregate cap: None PSEG Long

Communications: Women's Labor Force Participation--A Look at Some Residential Patterns

ERIC Educational Resources Information Center

Chenoweth, Lillian; Maret-Havens, Elizabeth

1978-01-01

Examines residential patterns and supply and demand factors to determine why women in highly urbanized areas are most likely to have career ties to the labor force, whereas rural women living outside a Standard Metropolitan Statistical Area are most likely to have no labor force attachment. (TA)

The drivers to adopt renewable energy among residential users.

NASA Astrophysics Data System (ADS)

Rahman, Zahari Abdul; Elinda, Esa

2016-03-01

This study aims to examine the drivers to adopt renewable energy (RE) among residential users in Malaysia. Based on the theoretical framework of a consumer’s decision making process, an empirical study of the adoption of RE was conducted. A total of 501 residential users were used in this study. This study proved that perceived utility of new technology, perceived utility of new service, and perceived benefit of new technology are the drivers to adopt RE among residential users. These factors are knowing crucial to RE suppliers and producers because it will generates more demand from the residential users and the percentage of energy mix from RE sources can be increase.

Energy Management Policies in Distributed Residential Energy Systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Duan, Sisi; Sun, Jingtao

2016-01-01

In this paper, we study energy management problems in communities with several neighborhood-level Residential Energy Systems (RESs). We consider control problems from both community level and residential level to handle external changes such as restriction on peak demand and restriction on the total demand from the electricity grid. We propose three policies to handle the problems at community level. Based on the collected data from RESs such as predicted energy load, the community controller analyzes the policies, distribute the results to the RES, and each RES can then control and schedule its own energy load based on different coordination functions.more » We utilize a framework to integrate both policy analysis and coordination of functions. With the use of our approach, we show that the policies are useful to resolve the challenges of energy management under external changes.« less

How do individual-level sociodemographics and neighbourhood-level characteristics influence residential location behaviour in the context of the food and built environment? Findings from 25 years of follow-up in the CARDIA Study.

PubMed

Rummo, Pasquale E; Guilkey, David K; Shikany, James M; Reis, Jared P; Gordon-Larsen, Penny

2017-03-01

Little is known about how diet-related and activity-related amenities relate to residential location behaviour. Understanding these relationships is essential for addressing residential self-selection bias. Using 25 years (6 examinations) of data from the Coronary Artery Risk Development in Young Adults (CARDIA) study (n=11 013 observations) and linked neighbourhood-level data from the 4 CARDIA baseline cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; Oakland, California, USA), we characterised participants' neighbourhoods as having low, average or high road connectivity and amenities using non-hierarchical cluster analysis. We then used repeated measures multinomial logistic regression with random effects to examine the associations between individual-level sociodemographics and neighbourhood-level characteristics with residential neighbourhood types over the 25-year period, and whether these associations differed by individual-level income. Being female was positively associated with living in neighbourhoods with low (vs high) road connectivity and activity-related and diet-related amenities among high-income individuals only. At all income levels, a higher percentage of neighbourhood white population and neighbourhood population <18 years were associated with living in neighbourhoods with low (vs high) connectivity and amenities. Individual-level race; age; and educational attainment, neighbourhood socioeconomic status and housing prices did not influence residential location behaviour related to neighbourhood connectivity and amenities at any income level. Neighbourhood-level factors appeared to play a comparatively greater role in shaping residential location behaviour than individual-level sociodemographics. Our study is an important step in understanding how residential locational behaviour relates to amenities and physical activity opportunities, and may help mitigate residential self-selection bias in built environment studies. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Characteristics and Performance of Existing Load Disaggregation Technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mayhorn, Ebony T.; Sullivan, Greg P.; Butner, Ryan S.

2015-04-10

Non-intrusive load monitoring (NILM) or non-intrusive appliance load monitoring (NIALM) is an analytic approach to disaggregate building loads based on a single metering point. This advanced load monitoring and disaggregation technique has the potential to provide an alternative solution to high-priced traditional sub-metering and enable innovative approaches for energy conservation, energy efficiency, and demand response. However, since the inception of the concept in the 1980’s, evaluations of these technologies have focused on reporting performance accuracy without investigating sources of inaccuracies or fully understanding and articulating the meaning of the metrics used to quantify performance. As a result, the market for,more » as well as, advances in these technologies have been slowly maturing.To improve the market for these NILM technologies, there has to be confidence that the deployment will lead to benefits. In reality, every end-user and application that this technology may enable does not require the highest levels of performance accuracy to produce benefits. Also, there are other important characteristics that need to be considered, which may affect the appeal of NILM products to certain market targets (i.e. residential and commercial building consumers) and the suitability for particular applications. These characteristics include the following: 1) ease of use, the level of expertise/bandwidth required to properly use the product; 2) ease of installation, the level of expertise required to install along with hardware needs that impact product cost; and 3) ability to inform decisions and actions, whether the energy outputs received by end-users (e.g. third party applications, residential users, building operators, etc.) empower decisions and actions to be taken at time frames required for certain applications. Therefore, stakeholders, researchers, and other interested parties should be kept abreast of the evolving capabilities, uses, and characteristics of NILM that make them attractive for certain building environments and different classes of end-users. The intent of this report is to raise awareness of trending NILM approaches. Additionally, three existing technologies were acquired and evaluated using the Residential Building Stock Assessment (RBSA) owner-occupied test bed operated by the Northwest Energy Efficiency Alliance (NEEA) to understand performance accuracy of current NILM products under realistic conditions. Based on this field study experience, the characteristics exhibited by the NILM products included in the assessment are also discussed in this report in terms of ease of use, ease of installation, ability to inform decisions and actions. Results of the analysis performed to investigate the accuracy of the participating NILM products in estimating energy use of individual appliances are also presented.« less

Calibrating Physical Parameters in House Models Using Aggregate AC Power Demand

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sun, Yannan; Stevens, Andrew J.; Lian, Jianming

For residential houses, the air conditioning (AC) units are one of the major resources that can provide significant flexibility in energy use for the purpose of demand response. To quantify the flexibility, the characteristics of all the houses need to be accurately estimated, so that certain house models can be used to predict the dynamics of the house temperatures in order to adjust the setpoints accordingly to provide demand response while maintaining the same comfort levels. In this paper, we propose an approach using the Reverse Monte Carlo modeling method and aggregate house models to calibrate the distribution parameters ofmore » the house models for a population of residential houses. Given the aggregate AC power demand for the population, the approach can successfully estimate the distribution parameters for the sensitive physical parameters based on our previous uncertainty quantification study, such as the mean of the floor areas of the houses.« less

Pricing for scarcity? An efficiency analysis of increasing block tariffs

NASA Astrophysics Data System (ADS)

Monteiro, Henrique; Roseta-Palma, Catarina

2011-06-01

Water pricing schedules often contain significant nonlinearities, such as the increasing block tariff (IBT) structure that is abundantly applied for residential users. The IBT is frequently supported as a good tool for achieving the goals of equity, water conservation, and revenue neutrality but seldom has been grounded on efficiency justifications. In particular, existing literature on water pricing establishes that although efficient schedules will depend on demand and supply characteristics, IBT cannot usually be recommended. In this paper, we consider whether the explicit inclusion of scarcity considerations can strengthen the appeal of IBT. Results show that when both demand and costs react to climate factors, increasing marginal prices may come about as a response to a combination of water scarcity and customer heterogeneity. We derive testable conditions and then illustrate their application through an estimation of Portuguese residential water demand. We show that the recommended tariff schedule hinges crucially on the choice of functional form for demand.

Residential green power demand in the United States

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dagher, Leila; Bird, Lori; Heeter, Jenny

This paper investigates the demand determinants of green power in the U.S. residential sector. The data employed were collected by the National Renewable Energy Laboratory and consist of a cross-section of seven utilities observed over 13 years. A series of tests are performed that resulted in estimating a demand equation using the one-way cross-section random effects model. As expected, we find that demand is highly price inelastic. More interestingly though, is that elasticity with respect to number of customers is 0.52 leading to the conclusion that new subscribers tend to purchase less green power on average than the existing customers.more » Another compelling finding is that obtaining accreditation will have a 28.5% positive impact on consumption. Knowing that gaining green accreditation is important to the success of programs, utilities may want to seek certification and highlight it in their advertising campaigns.« less

Using a Revised Theory of Student Departure to Understand Student Athlete Persistence

ERIC Educational Resources Information Center

Reisinger, Scot Hugh

2016-01-01

This study examined the relationship between intercollegiate participation and persistence in college. In addition, it explored the different factors that influenced student athletes' persistence patterns as compared to non-student athletes at residential liberal arts schools. Using data from the Wabash National Study of Liberal Arts Education…

Life cycle based analysis of demands and emissions for residential water-using appliances.

PubMed

Lee, Mengshan; Tansel, Berrin

2012-06-30

Environmental impacts of energy and water demand and greenhouse gas emissions from three residential water-using appliances were analyzed using life cycle assessment (LCA) based approach in collaboration of economic input-output model. This study especially focused on indirect consumption and environmental impacts from end-use/demand phase of each appliance. Water-related activities such as water supply, water heating and wastewater treatment were included in the analysis. The results showed that environmental impacts from end-use/demand phase are most significant for the water system, particularly for the energy demand for water heating (73% for clothes washer and 93% for showerheads). Reducing water/hot water consumption during the end-use/demand phase is expected to improve the overall water-related energy burden and water use sustainability. In the analysis of optimal lifespan for appliances, the estimated values (8-21 years) using energy consumption balance approach were found to be lower than that using other methods (10-25 years). This implies that earlier replacement with efficiency models is encouraged to minimize the environmental impacts of the product. Copyright © 2012 Elsevier Ltd. All rights reserved.

Utah | Midmarket Solar Policies in the United States | Solar Research |

Science.gov Websites

Credit: Net excess generation is credited at the retail rate for residential and small commercial customers; large commercial and industrial customers with demand charge may choose between valuing net cost) for residential taxpayers; $50,000 (or 10% of system cost) for commercial taxpayers. Renewable

Residential Density: The Effects of Tripling College Students

ERIC Educational Resources Information Center

Clark, Elizabeth A.; Jackson, Shannon; Everhart, Deborah

2012-01-01

Due to a greater number of students enrolling in higher educational institutions, an increase in demand for housing on college campuses exists putting a strain on infrastructure. In order to accommodate the students, some universities are tripling students in residential settings by putting three students in a room originally designed for two.…

User-Preference-Driven Model Predictive Control of Residential Building Loads and Battery Storage for Demand Response: Preprint

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jin, Xin; Baker, Kyri A.; Christensen, Dane T.

This paper presents a user-preference-driven home energy management system (HEMS) for demand response (DR) with residential building loads and battery storage. The HEMS is based on a multi-objective model predictive control algorithm, where the objectives include energy cost, thermal comfort, and carbon emission. A multi-criterion decision making method originating from social science is used to quickly determine user preferences based on a brief survey and derive the weights of different objectives used in the optimization process. Besides the residential appliances used in the traditional DR programs, a home battery system is integrated into the HEMS to improve the flexibility andmore » reliability of the DR resources. Simulation studies have been performed on field data from a residential building stock data set. Appliance models and usage patterns were learned from the data to predict the DR resource availability. Results indicate the HEMS was able to provide a significant amount of load reduction with less than 20% prediction error in both heating and cooling cases.« less

User-Preference-Driven Model Predictive Control of Residential Building Loads and Battery Storage for Demand Response

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jin, Xin; Baker, Kyri A; Isley, Steven C

This paper presents a user-preference-driven home energy management system (HEMS) for demand response (DR) with residential building loads and battery storage. The HEMS is based on a multi-objective model predictive control algorithm, where the objectives include energy cost, thermal comfort, and carbon emission. A multi-criterion decision making method originating from social science is used to quickly determine user preferences based on a brief survey and derive the weights of different objectives used in the optimization process. Besides the residential appliances used in the traditional DR programs, a home battery system is integrated into the HEMS to improve the flexibility andmore » reliability of the DR resources. Simulation studies have been performed on field data from a residential building stock data set. Appliance models and usage patterns were learned from the data to predict the DR resource availability. Results indicate the HEMS was able to provide a significant amount of load reduction with less than 20% prediction error in both heating and cooling cases.« less

Functional forms and price elasticities in a discrete continuous choice model of the residential water demand

NASA Astrophysics Data System (ADS)

Vásquez Lavín, F. A.; Hernandez, J. I.; Ponce, R. D.; Orrego, S. A.

2017-07-01

During recent decades, water demand estimation has gained considerable attention from scholars. From an econometric perspective, the most used functional forms include log-log and linear specifications. Despite the advances in this field and the relevance for policymaking, little attention has been paid to the functional forms used in these estimations, and most authors have not provided justifications for their selection of functional forms. A discrete continuous choice model of the residential water demand is estimated using six functional forms (log-log, full-log, log-quadratic, semilog, linear, and Stone-Geary), and the expected consumption and price elasticity are evaluated. From a policy perspective, our results highlight the relevance of functional form selection for both the expected consumption and price elasticity.

The performance of residential micro-cogeneration coupled with thermal and electrical storage

NASA Astrophysics Data System (ADS)

Kopf, John

Over 80% of residential secondary energy consumption in Canada and Ontario is used for space and water heating. The peak electricity demands resulting from residential energy consumption increase the reliance on fossil-fuel generation stations. Distributed energy resources can help to decrease the reliance on central generation stations. Presently, distributed energy resources such as solar photovoltaic, wind and bio-mass generation are subsidized in Ontario. Micro-cogeneration is an emerging technology that can be implemented as a distributed energy resource within residential or commercial buildings. Micro-cogeneration has the potential to reduce a building's energy consumption by simultaneously generating thermal and electrical power on-site. The coupling of a micro-cogeneration device with electrical storage can improve the system's ability to reduce peak electricity demands. The performance potential of micro-cogeneration devices has yet to be fully realized. This research addresses the performance of a residential micro-cogeneration device and it's ability to meet peak occupant electrical loads when coupled with electrical storage. An integrated building energy model was developed of a residential micro-cogeneration system: the house, the micro-cogeneration device, all balance of plant and space heating components, a thermal storage device, an electrical storage device, as well as the occupant electrical and hot water demands. This model simulated the performance of a micro-cogeneration device coupled to an electrical storage system within a Canadian household. A customized controller was created in ESP-r to examine the impact of various system control strategies. The economic performance of the system was assessed from the perspective of a local energy distribution company and an end-user under hypothetical electricity export purchase price scenarios. It was found that with certain control strategies the micro-cogeneration system was able to improve the economic performance for both the end user and local distribution company.

Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings.

PubMed

Mahapatra, Chinmaya; Moharana, Akshaya Kumar; Leung, Victor C M

2017-12-05

Around the globe, innovation with integrating information and communication technologies (ICT) with physical infrastructure is a top priority for governments in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Cities today faces multifarious challenges, among which energy efficiency of homes and residential dwellings is a key requirement. Achieving it successfully with the help of intelligent sensors and contextual systems would help build smart cities of the future. In a Smart home environment Home Energy Management plays a critical role in finding a suitable and reliable solution to curtail the peak demand and achieve energy conservation. In this paper, a new method named as Home Energy Management as a Service (HEMaaS) is proposed which is based on neural network based Q -learning algorithm. Although several attempts have been made in the past to address similar problems, the models developed do not cater to maximize the user convenience and robustness of the system. In this paper, authors have proposed an advanced Neural Fitted Q -learning method which is self-learning and adaptive. The proposed method provides an agile, flexible and energy efficient decision making system for home energy management. A typical Canadian residential dwelling model has been used in this paper to test the proposed method. Based on analysis, it was found that the proposed method offers a fast and viable solution to reduce the demand and conserve energy during peak period. It also helps reducing the carbon footprint of residential dwellings. Once adopted, city blocks with significant residential dwellings can significantly reduce the total energy consumption by reducing or shifting their energy demand during peak period. This would definitely help local power distribution companies to optimize their resources and keep the tariff low due to curtailment of peak demand.

Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings

PubMed Central

Moharana, Akshaya Kumar

2017-01-01

Around the globe, innovation with integrating information and communication technologies (ICT) with physical infrastructure is a top priority for governments in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Cities today faces multifarious challenges, among which energy efficiency of homes and residential dwellings is a key requirement. Achieving it successfully with the help of intelligent sensors and contextual systems would help build smart cities of the future. In a Smart home environment Home Energy Management plays a critical role in finding a suitable and reliable solution to curtail the peak demand and achieve energy conservation. In this paper, a new method named as Home Energy Management as a Service (HEMaaS) is proposed which is based on neural network based Q-learning algorithm. Although several attempts have been made in the past to address similar problems, the models developed do not cater to maximize the user convenience and robustness of the system. In this paper, authors have proposed an advanced Neural Fitted Q-learning method which is self-learning and adaptive. The proposed method provides an agile, flexible and energy efficient decision making system for home energy management. A typical Canadian residential dwelling model has been used in this paper to test the proposed method. Based on analysis, it was found that the proposed method offers a fast and viable solution to reduce the demand and conserve energy during peak period. It also helps reducing the carbon footprint of residential dwellings. Once adopted, city blocks with significant residential dwellings can significantly reduce the total energy consumption by reducing or shifting their energy demand during peak period. This would definitely help local power distribution companies to optimize their resources and keep the tariff low due to curtailment of peak demand. PMID:29206159

Understanding Residential Location Decision in the New York Region - A Data Collection Effort

DOT National Transportation Integrated Search

2010-06-17

Literature in residential location analysis is voluminous and profound and much has been learned. We now understand that there are three main categories of factors affecting our residential location choices: housing attributes (e.g., housing size), n...

Differences between Residential and Non-Residential Fathers on Sexual Socialisation of African American Youth

ERIC Educational Resources Information Center

Sneed, Carl D.; Willis, Leigh A.

2016-01-01

This study investigated differences between residential and non-residential fathers on topics discussed during father-child sex communication and factors associated with child sexual socialisation. Young people (N = 159, 53% female) provided self-reports using computer surveys on the role of their fathers on father-child sex communication, general…

Short-term energy outlook, Annual supplement 1995

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

1995-07-25

This supplement is published once a year as a complement to the Short- Term Energy Outlook, Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts. Chap. 2 analyzes the response of the US petroleum industry to the recent four Federal environmental rules on motor gasoline. Chap. 3 compares the EIA base or mid case energy projections for 1995 and 1996 (as published in the first quarter 1995 Outlook) with recent projections made by fourmore » other major forecasting groups. Chap. 4 evaluates the overall accuracy. Chap. 5 presents the methology used in the Short- Term Integrated Forecasting Model for oxygenate supply/demand balances. Chap. 6 reports theoretical and empirical results from a study of non-transportation energy demand by sector. The empirical analysis involves the short-run energy demand in the residential, commercial, industrial, and electrical utility sectors in US.« less

California DREAMing: The design of residential demand responsive technology with people in mind

NASA Astrophysics Data System (ADS)

Peffer, Therese Evelyn

Electrical utilities worldwide are exploring "demand response" programs to reduce electricity consumption during peak periods. Californian electrical utilities would like to pass the higher cost of peak demand to customers to offset costs, increase reliability, and reduce peak consumption. Variable pricing strategies require technology to communicate a dynamic price to customers and respond to that price. However, evidence from thermostat and energy display studies as well as research regarding energy-saving behaviors suggests that devices cannot effect residential demand response without the sanction and participation of people. This study developed several technologies to promote or enable residential demand response. First, along with a team of students and professors, I designed and tested the Demand Response Electrical Appliance Manager (DREAM). This wireless network of sensors, actuators, and controller with a user interface provides information to intelligently control a residential heating and cooling system and to inform people of their energy usage. We tested the system with computer simulation and in the laboratory and field. Secondly, as part of my contribution to the team, I evaluated machine-learning to predict a person's seasonal temperature preferences by analyzing existing data from office workers. The third part of the research involved developing an algorithm that generated temperature setpoints based on outdoor temperature. My study compared the simulated energy use using these setpoints to that using the setpoints of a programmable thermostat. Finally, I developed and tested a user interface for a thermostat and in-home energy display. This research tested the effects of both energy versus price information and the context of sponsorship on the behavior of subjects. I also surveyed subjects on the usefulness of various displays. The wireless network succeeded in providing detailed data to enable an intelligent controller and provide feedback to the users. The learning algorithm showed mixed results. The adaptive temperature setpoints saved energy in both annual and summertime simulations. The context in which I introduced the DREAM interface affected behavior, but the type of information displayed did not. The subjects responded that appliance-level feedback and tools that provided choices would be useful in a dynamic tariff environment.

Wood products used for residential repair and remodeling in the United States, 1991

Treesearch

D. B. McKeever; R. G. Anderson

Large amounts of lumber and wood panel products are used annually for the repair and remodeling of residential structures and properties in the United States. In response to the need by government and industry for detailed information on this important market for timber products, a study was conducted by the Timber Demand and Technology...

Relation of land use/land cover to resource demands

NASA Technical Reports Server (NTRS)

Clayton, C.

1981-01-01

Predictive models for forecasting residential energy demand are investigated. The models are examined in the context of implementation through manipulation of geographic information systems containing land use/cover information. Remotely sensed data is examined as a possible component in this process.

Exposure chain of urban air PM 2.5—associations between ambient fixed site, residential outdoor, indoor, workplace and personal exposures in four European cities in the EXPOLIS-study

NASA Astrophysics Data System (ADS)

Kousa, Anu; Oglesby, Lucy; Koistinen, Kimmo; Künzli, Nino; Jantunen, Matti

In the EXPOLIS study personal exposures and microenvironment levels of air pollutants from 50-201 urban adult (25-55 yr) participants were measured in six European cities during 1 yr from autumn 1996 to winter 1997-98. This paper presents the associations between the personal PM 2.5 exposures, microenvironment (residential indoor, residential outdoor and workplace indoor) and ambient fixed site concentrations measured in Helsinki (Finland), Basel (Switzerland), Prague (Czech Republic) and Athens (Greece). Considering the whole chain from ambient fixed site to residential outdoor, residential indoor and personal leisure time (non-working hours) exposure, the correlations were highest between personal leisure time exposures and residential indoor concentrations (non-environmental tobacco smoke (ETS): Pearson r=0.72-0.92, ETS included: r=0.82-0.86) except in Athens, where the correlation between residential indoor and outdoor air was highest (non-ETS: r=0.82, ETS included: r=0.68)). Unfortunately, ambient fixed site PM 2.5 concentrations were measured continuously only in Helsinki. Ambient fixed site PM 2.5 concentrations correlated quite well with residential outdoor concentrations ( r=0.90), and also with residential indoor (non-ETS) concentrations ( r=0.80), but concentrations measured at ambient fixed site monitors were poor predictors of personal exposures to PM 2.5. They were particularly poor predictors of personal workday exposures (non-ETS: r=0.34, ETS included: r=0.25), but considerably better for personal leisure time exposures (non-ETS: r=0.69, ETS included: r=0.54). According to log-linear regression models combined from all centres of non-ETS-exposed participants, residential indoor concentrations explained 76% of personal leisure time PM 2.5 exposure variation and workplace indoor concentrations explained 66% of the workday exposure variation.

Nursing Homes and their Spatial Contexts - Findings from Austria

NASA Astrophysics Data System (ADS)

Fischer, Tatjana

2017-10-01

Against the background of aging and the increasing number of persons in need of care on one hand and the decreasing potential of family support on the other hand, in-patient facilities both in rural areas as well as urban areas of Austria receive importance as final residence. The decision on a facility is challenging. That is why the Austrian Federal Ministry of Labour, Social Affairs and Consumer Protection edits a brochure in three volumes that provides interested persons with information on each residential and nursing home for elderly people. Basing on data from the year 2014, this contribution aims at analysing relevant spatial related information on 885 residential and nursing homes in urban and rural contexts in order to demonstrate how spatial related aspects are considered in the facilities’ presentations and how they illustrate the level of community integration of these in-patient offers, to understand facility-specific future plans as well as to reveal important questions and define urgent research demand and to stimulate the interdisciplinary and cross-cutting dialogue.

Development of Residential SOFC Cogeneration System

NASA Astrophysics Data System (ADS)

Ono, Takashi; Miyachi, Itaru; Suzuki, Minoru; Higaki, Katsuki

2011-06-01

Since 2001 Kyocera has been developing 1kW class Solid Oxide Fuel Cell (SOFC) for power generation system. We have developed a cell, stack, module and system. Since 2004, Kyocera and Osaka Gas Co., Ltd. have been developed SOFC residential co-generation system. From 2007, we took part in the "Demonstrative Research on Solid Oxide Fuel Cells" Project conducted by New Energy Foundation (NEF). Total 57 units of 0.7kW class SOFC cogeneration systems had been installed at residential houses. In spite of residential small power demand, the actual electric efficiency was about 40%(netAC,LHV), and high CO2 reduction performance was achieved by these systems. Hereafter, new joint development, Osaka Gas, Toyota Motors, Kyocera and Aisin Seiki, aims early commercialization of residential SOFC CHP system.

Design and optimization of zero-energy-consumption based solar energy residential building systems

NASA Astrophysics Data System (ADS)

Zheng, D. L.; Yu, L. J.; Tan, H. W.

2017-11-01

Energy consumption of residential buildings has grown fast in recent years, thus raising a challenge on zero energy residential building (ZERB) systems, which aim at substantially reducing energy consumption of residential buildings. Thus, how to facilitate ZERB has become a hot but difficult topic. In the paper, we put forward the overall design principle of ZERB based on analysis of the systems’ energy demand. In particular, the architecture for both schematic design and passive technology is optimized and both energy simulation analysis and energy balancing analysis are implemented, followed by committing the selection of high-efficiency appliance and renewable energy sources for ZERB residential building. In addition, Chinese classical residential building has been investigated in the proposed case, in which several critical aspects such as building optimization, passive design, PV panel and HVAC system integrated with solar water heater, Phase change materials, natural ventilation, etc., have been taken into consideration.

Learning to deal constructively with troubled conscience related to care providers' perceptions of deficient teamwork in residential care of older people--a participatory action research study.

PubMed

Ericson-Lidman, Eva; Strandberg, Gunilla

2015-06-01

Conscience can be perceived as an asset that helps care providers to provide good care, but it can also be a burden that generates stress of conscience (stress related to a troubled conscience). Participatory action research (PAR) has been shown to be successful in supporting care providers in residential care of older people to learn to deal with their troubled conscience in challenging and demanding care situations. The aim of the study was to describe an intervention process to assist care providers in residential care of older people to constructively deal with their troubled conscience related to perceptions of deficient teamwork. The study design was grounded in PAR. Nine enrolled nurses (ENs), two nursing aids (NAs), one Registered Nurse (RN) and their manager participated in 12 PAR sessions. All sessions were tape-recorded, and a domain analysis of the transcriptions was performed. Findings show that a PAR-based intervention can support care providers to understand, handle and take measures against deficient teamwork. Using troubled conscience as a driving force can increase the opportunities to improve quality of care in residential care for older people. During the PAR process, participants raised their awareness of the need to view the team in a wider sense and that the manager and the Registered Nurse should also be members of the team to improve team outcome. To improve clinical practice, we suggest that teams in residential care of older people should be enabled to share and reflect on challenging situations that generate troubled conscience. However, as shown in this study, care providers might need support in order to facilitate and promote sharing and reflecting on what their conscience tells them. © 2014 Nordic College of Caring Science.

Essays on Mathematical Optimization for Residential Demand Response in the Energy Sector

NASA Astrophysics Data System (ADS)

Palaparambil Dinesh, Lakshmi

In the electric utility industry, it could be challenging to adjust supply to match demand due to large generator ramp up times, high generation costs and insufficient in-house generation capacity. Demand response (DR) is a technique for adjusting the demand for electric power instead of the supply. Direct Load Control (DLC) is one of the ways to implement DR. DLC program participants sign up for power interruption contracts and are given financial incentives for curtailing electricity usage during peak demand time periods. This dissertation studies a DLC program for residential air conditioners using mathematical optimization models. First, we develop a model that determines what contract parameters to use in designing contracts between the provider and residential customers, when to turn which power unit on or off and how much power to cut during peak demand hours. The model uses information on customer preferences for choice of contract parameters such as DLC financial incentives and energy usage curtailment. In numerical experiments, the proposed model leads to projected cost savings of the order of 20%, compared to a current benchmark model used in practice. We also quantify the impact of factors leading to cost savings and study characteristics of customers picked by different contracts. Second, we study a DLC program in a macro economic environment using a Computable General Equilibrium (CGE) model. A CGE model is used to study the impact of external factors such as policy and technology changes on different economic sectors. Here we differentiate customers based on their preference for DLC programs by using different values for price elasticity of demand for electricity commodity. Consequently, DLC program customers could substitute demand for electricity commodity with other commodities such as transportation sector. Price elasticity of demand is calculated using a novel methodology that incorporates customer preferences for DLC contracts from the first model. The calculation of elasticity based on our methodology is useful since the prices of commodities are not only determined by aggregate demand and supply but also by customers' relative preferences for commodities. In addition to this we quantify the indirect substitution and rebound effects on sectoral activity levels, incomes and prices based on customer differences, when DLC is implemented.

Autonomous Hybrid Priority Queueing for Scheduling Residential Energy Demands

NASA Astrophysics Data System (ADS)

Kalimullah, I. Q.; Shamroukh, M.; Sahar, N.; Shetty, S.

2017-05-01

The advent of smart grid technologies has opened up opportunities to manage the energy consumption of the users within a residential smart grid system. Demand response management is particularly being employed to reduce the overall load on an electricity network which could in turn reduce outages and electricity costs. The objective of this paper is to develop an intelligible scheduler to optimize the energy available to a micro grid through hybrid queueing algorithm centered around the consumers’ energy demands. This is achieved by shifting certain schedulable load appliances to light load hours. Various factors such as the type of demand, grid load, consumers’ energy usage patterns and preferences are considered while formulating the logical constraints required for the algorithm. The algorithm thus obtained is then implemented in MATLAB workspace to simulate its execution by an Energy Consumption Scheduler (ECS) found within smart meters, which automatically finds the optimal energy consumption schedule tailor made to fit each consumer within the micro grid network.

Development of the Optimum Operation Scheduling Model of Domestic Electric Appliances for the Supply-Demand Adjustment in a Power System

NASA Astrophysics Data System (ADS)

Ikegami, Takashi; Iwafune, Yumiko; Ogimoto, Kazuhiko

The high penetration of variable renewable generation such as Photovoltaic (PV) systems will cause the issue of supply-demand imbalance in a whole power system. The activation of the residential power usage, storage and generation by sophisticated scheduling and control using the Home Energy Management System (HEMS) will be needed to balance power supply and demand in the near future. In order to evaluate the applicability of the HEMS as a distributed controller for local and system-wide supply-demand balances, we developed an optimum operation scheduling model of domestic electric appliances using the mixed integer linear programming. Applying this model to several houses with dynamic electricity prices reflecting the power balance of the total power system, it was found that the adequate changes in electricity prices bring about the shift of residential power usages to control the amount of the reverse power flow due to excess PV generation.

Simulating Residential Demand in Singapore through Five Decades of Demographic Change

NASA Astrophysics Data System (ADS)

Davis, N. R.; Fernández, J.

2011-12-01

Singapore's rapid and well-documented development over the last half-century provides an ideal case for studying urban metabolism. Extensive data [1, 2] facilitate the modeling of historical dynamics of population and resource consumption. This paper presents an agent-based population model that simulates key demographic factors - number, size, and relative income of households - through fifty years of development in Singapore. This is the first step in a broader study linking demographic factors to residential demand for urban land, materials, water, and energy. Previous studies of the resource demands of housing stock have accounted for demographics by modifying the important population driver with a single, aggregated "lifestyle" term [3, 4]. However, demographic changes that result from development can influence the nature of the residential sector, and warrant a closer look. Increasing levels of education and affluence coupled with decreasing birth rates have yielded an aging population and changing family structures in Singapore [5]. These factors all contribute to an increasingly resource-intense residential sector. Singaporeans' elevated per capita income and life expectancy have created demand for larger household area, which means a growing percentage of available land must be dedicated to residential use [6]. While the majority of Singapore's housing is public - a strategy designed to maximize land use efficiency - residents are increasingly seeking private alternatives [7]. In the private sector, lower density housing puts even greater pressure on the finite supply of undeveloped land. Agent-based modeling is used to study the selected aspects of demography. The population is disaggregated into historical time-series distributions of age, family size, education, and income. We propose a simplified methodology correlating average education level with birth rate, and income to categorize households and establish housing unit demand. Aggregated lifestyle variables have proven useful for simulating past resource consumption in some cases, but demographic shifts are important causal factors in future demand that would not be captured by these simple terms. For this reason disaggregated population modeling provides better insight into the size and income distributions of households that ultimately drive residential resource consumption. References [1] Yearbook of Statistics Singapore. Dept. of Statistics, Ministry of Trade & Industry, 1960-2011. [2] HDB Annual Report. Housing & Development Board, Ministry of National Development, 1960-2011. [3] B. Muller, "Stock dynamics for forecasting material flows-case study for housing in the Netherlands," Ecol Econ, vol. 59, no. 1, pp. 142-156, 2006. [4] H. Bergsdal, et al., "Dynamic material flow analysis for Norway's dwelling stock," Build Res Inf, vol. 35, no. 5, pp. 557-570, 2007. [5] D. Phillips and H. Bartlett, "Aging trends-Singapore," J Cross Cult Gerontol, vol. 10, no. 4, pp. 349-356, 1995. [6] T. Wong and A. Yap, Four decades of transformation: Land use in Singapore, 1960-2000. Eastern University Press, 2004. [7] -, "From universal public housing to meeting the increasing aspiration for private housing in Singapore," Habitat Int, vol. 27, no. 3, pp. 361-380, 2003.

Response practices in multilingual interaction with an older Persian woman in a Swedish residential home.

PubMed

Plejert, Charlotta; Jansson, Gunilla; Yazdanpanah, Maziar

2014-03-01

In the present case study, a care encounter between an older multilingual (Farsi/Swedish/English) Persian woman and staff in an ordinary, Swedish residential home is investigated. The woman is perceived as suffering from dementia symptoms, but has not received any formal diagnosis of the disease. More specifically, the study focuses on how the woman's contributions in her mother tongue, Farsi, are responded to by a carer, who is also multilingual and speaks Swedish as a second language (L2), but has a very limited knowledge of Farsi. The data consists of recorded material from a mundane morning activity in the residential home, as the woman is undressed and prepared to go to the shower. The method employed is conversation analysis, and the study addresses the interactional outcome of this type of multilingual encounters, highlighting the way the establishment of mutual understanding is negatively affected by the fact that the participants do not or only to a limited extent share a common language. Analysis of the data shows that most of the woman's contributions in Farsi are responded to in L2-Swedish by the carer, primarily by means of seven different response practices: soothing talk, instrumental talk, minimal responses, explicit expressions of understanding, mitigating talk, questions, and appraisal. The findings are discussed in light of new demands on Swedish (and Western) care- and health care systems to adapt to the increasing number of multilingual, older people, who will become residents in care facilities and attend day centers within the coming years.

Quantifying Energy and Water Savings in the U.S. Residential Sector.

PubMed

Chini, Christopher M; Schreiber, Kelsey L; Barker, Zachary A; Stillwell, Ashlynn S

2016-09-06

Stress on water and energy utilities, including natural resource depletion, infrastructure deterioration, and growing populations, threatens the ability to provide reliable and sustainable service. This study presents a demand-side management decision-making tool to evaluate energy and water efficiency opportunities at the residential level, including both direct and indirect consumption. The energy-water nexus accounts for indirect resource consumption, including water-for-energy and energy-for-water. We examine the relationship between water and energy in common household appliances and fixtures, comparing baseline appliances to ENERGY STAR or WaterSense appliances, using a cost abatement analysis for the average U.S. household, yielding a potential annual per household savings of 7600 kWh and 39 600 gallons, with most upgrades having negative abatement cost. We refine the national average cost abatement curves to understand regional relationships, specifically for the urban environments of Los Angeles, Chicago, and New York. Cost abatement curves display per unit cost savings related to overall direct and indirect energy and water efficiency, allowing utilities, policy makers, and homeowners to consider the relationship between energy and water when making decisions. Our research fills an important gap of the energy-water nexus in a residential unit and provides a decision making tool for policy initiatives.

Relation of urban land-use and land-surface characteristics to quantity and quality of storm runoff in two basins in California

USGS Publications Warehouse

Sylvester, Marc A.; Brown, William M.

1978-01-01

Two basins (Castro Valley Creek, in Alameda County, and Strong Ranch Slough, in Sacramento County) in the San Francisco Bay and Sacramento-San Joaquin Delta region (Bay-Delta region) were sampled intensively (3-15 minute intervals) during three storms between October 1974 and April 1975. Both basins are primarily residential, but the Strong Ranch Slough basin is almost entirely urbanized and nearly flat, while the Castro Valley Creek basin possesses some rural areas and slopes greater than 70 percent in the headwaters. Water discharge and concentrations of suspended solids, chemical oxygen demand, 5-day biochemical oxygen demand, nitrite and nitrate, total Kjeldahl nitrogen, total orthophosphorus, and settleable matter were usually greater at the Castro Valley Creek basin than at the Strong Ranch Slough basin. Concentrations of these constituents and water discharge changed more rapidly at the Castro Valley Creek basin than at the Strong Ranch Slough basin. Of the four subbasins sampled (two in each basin), constituent concentrations in runoff from a residential subbasin were usually greatest. Quantity and quality of runoff were related to environmental characteristics such as slope, perviousness, residential development and maintenance, and channel conditions. Greater water discharge and concentrations of constituents in the Castro Valley Creek basin seem to be partly due to steeper slopes, less perviousness, and smaller residential lot sizes than are in the Strong Ranch Slough basin. Erosion of steep slopes disturbed by grazing and residential development, poorly maintained dwellings and lots, and a mostly earthen drainage channel in the Castro Valley Creek basin are probably responsible for the greater concentrations of suspended solids and settleable matter in runoff from this basin. In both basins, the highest observed concentrations of suspended solids, chemical oxygen demand, 5-day biochemical oxygen demand, settleable matter, total Kjeldahl nitrogen, and total orthophosphorus were observed at or near peak water discharges. Flow-weighted and arithmetic-mean concentrations of suspended solids in Castro Valley Creek exceed the arithmetic-mean concentration of suspended solids in medium-strength untreated sewage. These results indicate that control of urban storm runoff in the Bay-Delta region may be desirable to protect receiving water.

Iraq and Afghanistan Veterans: National Findings from VA Residential Treatment Programs

PubMed Central

Cook, Joan M.; Dinnen, Stephanie; O’Donnell, Casey; Bernardy, Nancy; Rosenheck, Robert; Desai, Rani

2013-01-01

A quality improvement effort was undertaken in Department of Veterans Affairs’ (VA) residential treatment programs for Posttraumatic Stress Disorder (PTSD) across the United States. Qualitative interviews were conducted with over 250 directors, providers, and staff during site visits of 38 programs. The aims of this report are to describe clinical issues and distinctive challenges in working with veterans from Iraq and Afghanistan and approaches to addressing their needs. Providers indicated that the most commonly reported problems were: acute PTSD symptomotology; other complex mental health symptom presentations; broad readjustment problems; and difficulty with time demands of and readiness for intensive treatment. Additional concerns included working with active duty personnel and mixing different eras in therapy. Programmatic solutions address structure (e.g., blended versus era-specific therapy), content (e.g., physical activity), and adaptations (e.g., inclusion of family; shortened length of stay). Clinical implications for VA managers and policy makers as well as non-VA health care systems and individual health care providers are noted. PMID:23458113

Promoting energy efficiency through improved electricity pricing: A mid-project report

NASA Astrophysics Data System (ADS)

Action, J. P.; Kohler, D. F.; Mitchell, B. M.; Park, R. E.

1982-03-01

Five related areas of electricity demand analysis under alternative rate forms were studied. Adjustments by large commercial and industrial customers are examined. Residential demand under time of day (TOD) pricing is examined. A methodology for evaluating alternative rate structures is developed and applied.

Predicting Baseline for Analysis of Electricity Pricing

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kim, T.; Lee, D.; Choi, J.

2016-05-03

To understand the impact of new pricing structure on residential electricity demands, we need a baseline model that captures every factor other than the new price. The standard baseline is a randomized control group, however, a good control group is hard to design. This motivates us to devlop data-driven approaches. We explored many techniques and designed a strategy, named LTAP, that could predict the hourly usage years ahead. The key challenge in this process is that the daily cycle of electricity demand peaks a few hours after the temperature reaching its peak. Existing methods rely on the lagged variables ofmore » recent past usages to enforce this daily cycle. These methods have trouble making predictions years ahead. LTAP avoids this trouble by assuming the daily usage profile is determined by temperature and other factors. In a comparison against a well-designed control group, LTAP is found to produce accurate predictions.« less

Intentionally Designed Thinking and Experience Spaces: What We Learned at Summer Camp

ERIC Educational Resources Information Center

Dahl, Tove I.; Sethre-Hofstad, Lisa; Salomon, Gavriel

2013-01-01

How do young people experience camp, and how might that experience help us expand our understanding of what is possible in non-formal learning environments? In-depth interviews consisting of forced-choice and open-ended questions were conducted with 59 Concordia Language Villages residential camp participants who partake in a linguistically and…

Oregon | Midmarket Solar Policies in the United States | Solar Research |

Science.gov Websites

Utilities Commission. System size limit: PGE and PacifiCorp customers: 2 MW for non-residential, 25 kW for residential; municipal, electric cooperative, and public utility district customers: 25 kW for non-residential , >25 kW and ≤2MW, non-exporting systems ≤10 MW, and all systems. System size limit: 10 MW

Novel approaches for an enhanced geothermal development of residential sites

NASA Astrophysics Data System (ADS)

Schelenz, Sophie; Firmbach, Linda; Shao, Haibing; Dietrich, Peter; Vienken, Thomas

2015-04-01

An ongoing technological enhancement drives an increasing use of shallow geothermal systems for heating and cooling applications. However, even in areas with intensive shallow geothermal use, planning of geothermal systems is in many cases solely based on geological maps, drilling databases, and literature references. Thus, relevant heat transport parameters are rather approximated than measured for the specific site. To increase the planning safety and promote the use of renewable energies in the domestic sector, this study investigates a novel concept for an enhanced geothermal development of residential neighbourhoods. This concept is based on a site-specific characterization of subsurface conditions and the implementation of demand-oriented geothermal usage options. Therefore, an investigation approach has been tested that combines non-invasive with minimum-invasive exploration methods. While electrical resistivity tomography has been applied to characterize the geological subsurface structure, Direct Push soundings enable a detailed, vertical high-resolution characterization of the subsurface surrounding the borehole heat exchangers. The benefit of this site-specific subsurface investigation is highlighted for 1) a more precise design of shallow geothermal systems and 2) a reliable prediction of induced long-term changes in groundwater temperatures. To guarantee the financial feasibility and practicability of the novel geothermal development, three different options for its implementation in residential neighbourhoods were consequently deduced.

Charging Electric Vehicles in Smart Cities: An EVI-Pro Analysis of Columbus, Ohio

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wood, Eric W.; Rames, Clement L.; Muratori, Matteo

With the support of the U.S. Department of Energy's Vehicle Technologies Office, the National Renewable Energy Laboratory (NREL) worked with the City of Columbus, Ohio, to develop a plan for the expansion of the region's network of charging stations to support increased adoption of plug-in electric vehicles (PEVs) in the local market. NREL's Electric Vehicle Infrastructure Projection (EVI-Pro) model was used to generate scenarios of regional charging infrastructure to support consumer PEV adoption. Results indicate that approximately 400 Level 2 plugs at multi-unit dwellings and 350 Level 2 plugs at non-residential locations are required to support Columbus' primary PEV goalmore » of 5,300 PEVs on the road by the end of 2019. This analysis finds that while consumer demand for fast charging is expected to remain low (due to modest anticipated adoption of short-range battery electric vehicles), a minimum level of fast charging coverage across the city is required to ease consumer range anxiety concerns by providing a safety net for unexpected charging events. Sensitivity analyses around some key assumptions have also been performed; of these, consumer preference for PHEV versus BEV and for their electric driving range, ambient conditions, and availability of residential charging at multi-unit dwellings were identified as key determinants of the non-residential PEV charging infrastructure required to support PEV adoption. The results discussed in this report can be leveraged by similar U.S. cities as part of a strategy to accelerate PEV adoption in the light-duty vehicle market.« less

Do PEV Drivers Park Near Publicly Accessible EVSE in San Diego but Not Use Them?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Francfort, James Edward

The PEV charging stations deployed as part of The EV Project included both residential and non-residential sites. Non-residential sites included EVSE installed in workplace environments, fleet applications and those that were publicly accessible near retail centers, parking lots, and similar locations. The EV Project utilized its Micro-Climate® planning process to determine potential sites for publicly accessible EVSE in San Diego. This process worked with local stakeholders to target EVSE deployment near areas where significant PEV traffic and parking was expected. This planning process is described in The Micro-Climate deployment Process in San Diego1. The EV Project issued its deployment planmore » for San Diego in November 2010, prior to the sale of PEVs by Nissan and Chevrolet. The Project deployed residential EVSE concurrent with vehicle delivery starting in December 2010. The installation of non-residential EVSE commenced in April 2011 consistent with the original Project schedule, closely following the adoption of PEVs. The residential participation portion of The EV Project was fully subscribed by January 2013 and the non-residential EVSE deployment was essentially completed by August 2013.« less

Solar + Storage Synergies for Managing Commercial-Customer Demand Charges

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gagnon, Pieter J.; Govindarajan, Anand; Bird, Lori A.

We study the synergies between behind-the-meter solar and storage in reducing commercial-customer demand charges. This follows two previous studies that examined demand charge savings for stand-alone solar in both the residential and commercial sectors. In this study we show that solar and storage show consistent synergies for demand charge management, that the magnitude of reductions are highly customer-specific, and that the magnitude of savings is influenced by the design of the electricity tariff.

Reducing Gridlock on the Grid: Utility Trends in Managing Peak Electric Load through Residential Demand Response

NASA Astrophysics Data System (ADS)

McDonald, Betsy

Utilities across the United States are piloting residential demand response programs to help manage peak electric demand. Using publicly available program evaluations, this thesis analyzes nine such programs to uncover and synthesize the range of program offerings, goals, enrollment strategies, and customer experiences. This review reveals that program participation, components, and results differ based on a variety of factors, including geographic characteristics, program goals, and implementation strategies. The diversity of program designs and evaluation findings suggests an underlying tension between the need to generate cost-effective program impacts and the desire to increase accessibility so that program benefits are not exclusive to certain segments of the population. For more significant and impactful engagement, program goals may need to shift. State level policy support could help shift program goals toward increasing program accessibility. Future research should explore creative strategies that target existing barriers and allow for more inclusive deployment.

Regional comparisons of on-site solar potential in the residential and industrial sectors

NASA Astrophysics Data System (ADS)

Gatzke, A. E.; Skewes-Cox, A. O.

1980-10-01

Regional and subregional differences in the potential development of decentralized solar technologies are studied. Two sectors of the economy were selected for intensive analysis: the residential and industrial sectors. The sequence of analysis follows the same general steps: (1) selection of appropriate prototypes within each land use sector disaggregated by census region; (2) characterization of the end-use energy demand of each prototype in order to match an appropriate decentralized solar technology to the energy demand; (3) assessment of the energy conservation potential within each prototype limited by land use patterns, technology efficiency, and variation in solar insolation; and (4) evaluation of the regional and subregional differences in the land use implications of decentralized energy supply technologies that result from the combination of energy demand, energy supply potential, and the subsequent addition of increasingly more restrictive policies to increase the percent contribution of on-site solar energy.

EPA's SHEDS-multimedia model: children's cumulative pyrethroid exposure estimates and evaluation against NHANES biomarker data.

PubMed

Xue, Jianping; Zartarian, Valerie; Tornero-Velez, Rogelio; Tulve, Nicolle S

2014-12-01

The U.S. EPA's SHEDS-Multimedia model was applied to enhance the understanding of children's exposures and doses to multiple pyrethroid pesticides, including major contributing chemicals and pathways. This paper presents combined dietary and residential exposure estimates and cumulative doses for seven commonly used pyrethroids, and comparisons of model evaluation results with NHANES biomarker data for 3-PBA and DCCA metabolites. Model input distributions were fit to publicly available pesticide usage survey data, NHANES, and other studies, then SHEDS-Multimedia was applied to estimate total pyrethroid exposures and doses for 3-5 year olds for one year variability simulations. For dose estimations we used a pharmacokinetic model and two approaches for simulating dermal absorption. SHEDS-Multimedia predictions compared well to NHANES biomarker data: ratios of 3-PBA observed data to SHEDS-Multimedia modeled results were 0.88, 0.51, 0.54 and 1.02 for mean, median, 95th, and 99th percentiles, respectively; for DCCA, the ratios were 0.82, 0.53, 0.56, and 0.94. Modeled time-averaged cumulative absorbed dose of the seven pyrethroids was 3.1 nmol/day (versus 8.4 nmol/day for adults) in the general population (residential pyrethroid use and non-use homes) and 6.7 nmol/day (versus 10.5 nmol/day for adults) in the simulated residential pyrethroid use population. For the general population, contributions to modeled cumulative dose by chemical were permethrin (60%), cypermethrin (22%), and cyfluthrin (16%); for residential use homes, contributions were cypermethrin (49%), permethrin (29%), and cyfluthrin (17%). The primary exposure route for 3-5 year olds in the simulated residential use population was non-dietary ingestion exposure; whereas for the simulated general population, dietary exposure was the primary exposure route. Below the 95th percentile, the major exposure pathway was dietary for the general population; non-dietary ingestion was the major pathway starting below the 70th percentile for the residential use population. The new dermal absorption methodology considering surface loading had some impact, but did not change the order of key pathways. Published by Elsevier Ltd.

Perceptions of conscience, stress of conscience and burnout among nursing staff in residential elder care.

PubMed

Juthberg, Christina; Eriksson, Sture; Norberg, Astrid; Sundin, Karin

2010-08-01

This paper is a report of a study of patterns of perceptions of conscience, stress of conscience and burnout in relation to occupational belonging among Registered Nurses and nursing assistants in municipal residential care of older people. Stress and burnout among healthcare personnel and experiences of ethical difficulties are associated with troubled conscience. In elder care the experience of a troubled conscience seems to be connected to occupational role, but little is known about how Registered Nurses and nursing assistants perceive their conscience, stress of conscience and burnout. Results of previous analyses of data collected in 2003, where 50 Registered Nurses and 96 nursing assistants completed the Perceptions of Conscience Questionnaire, Stress of Conscience Questionnaire and Maslach Burnout Inventory, led to a request for further analysis. In this study Partial Least Square Regression was used to detect statistical predictive patterns. Perceptions of conscience and stress of conscience explained 41.9% of the variance in occupational belonging. A statistical predictive pattern for Registered Nurses was stress of conscience in relation to falling short of expectations and demands and to perception of conscience as demanding sensitivity. A statistical predictive pattern for nursing assistants was perceptions that conscience is an authority and an asset in their work. Burnout did not contribute to the explained variance in occupational belonging. Both occupational groups viewed conscience as an asset and not a burden. Registered Nurses seemed to exhibit sensitivity to expectations and demands and nursing assistants used their conscience as a source of guidance in their work. Structured group supervision with personnel from different occupations is needed so that staff can gain better understanding about their own occupational situation as well as the situation of other occupational groups.

Using Hydrated Salt Phase Change Materials for Residential Air Conditioning Peak Demand Reduction and Energy Conservation in Coastal and Transitional Climates in the State of California

NASA Astrophysics Data System (ADS)

Lee, Kyoung Ok

The recent rapid economic and population growth in the State of California have led to a significant increase in air conditioning use, especially in areas of the State with coastal and transitional climates. This fact makes that the electric peak demand be dominated by air conditioning use of residential buildings in the summer time. This extra peak demand caused by the use of air conditioning equipment lasts only a few days out of the year. As a result, unavoidable power outages have occurred when electric supply could not keep up with such electric demand. This thesis proposed a possible solution to this problem by using building thermal mass via phase change materials to reduce peak air conditioning demand loads. This proposed solution was tested via a new wall called Phase Change Frame Wall (PCFW). The PCFW is a typical residential frame wall in which Phase Change Materials (PCMs) were integrated to add thermal mass. The thermal performance of the PCFWs was first evaluated, experimentally, in two test houses, built for this purpose, located in Lawrence, KS and then via computer simulations of residential buildings located in coastal and transitional climates in California. In this thesis, a hydrated salt PCM was used, which was added in concentrations of 10% and 20% by weight of the interior sheathing of the walls. Based on the experimental results, under Lawrence, KS weather, the PCFWs at 10% and 20% of PCM concentrations reduced the peak heat transfer rates by 27.0% and 27.3%, on average, of all four walls, respectively. Simulated results using California climate data indicated that PCFWs would reduce peak heat transfer rates by 8% and 19% at 10% PCM concentration and 12.2% and 27% at 20% PCM concentration for the coastal and transitional climates, respectively. Furthermore, the PCFWs, at 10% PCM concentration, would reduce the space cooling load and the annual energy consumption by 10.4% and 7.2%, on average in both climates, respectively.

Solid oxide fuel cell systems for residential micro-combined heat and power in the UK: Key economic drivers

NASA Astrophysics Data System (ADS)

Hawkes, Adam; Leach, Matthew

The ability of combined heat and power (CHP) to meet residential heat and power demands efficiently offers potentially significant financial and environmental advantages over centralised power generation and heat-provision through natural-gas fired boilers. A solid oxide fuel cell (SOFC) can operate at high overall efficiencies (heat and power) of 80-90%, offering an improvement over centralised generation, which is often unable to utilise waste heat. This paper applies an equivalent annual cost (EAC) minimisation model to a residential solid oxide fuel cell CHP system to determine what the driving factors are behind investment in this technology. We explore the performance of a hypothetical SOFC system—representing expectations of near to medium term technology development—under present UK market conditions. We find that households with small to average energy demands do not benefit from installation of a SOFC micro-CHP system, but larger energy demands do benefit under these conditions. However, this result is sensitive to a number of factors including stack capital cost, energy import and export prices, and plant lifetime. The results for small and average dwellings are shown to reverse under an observed change in energy import prices, an increase in electricity export price, a decrease in stack capital costs, or an improvement in stack lifetime.

The Impact of Uncertain Physical Parameters on HVAC Demand Response

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sun, Yannan; Elizondo, Marcelo A.; Lu, Shuai

HVAC units are currently one of the major resources providing demand response (DR) in residential buildings. Models of HVAC with DR function can improve understanding of its impact on power system operations and facilitate the deployment of DR technologies. This paper investigates the importance of various physical parameters and their distributions to the HVAC response to DR signals, which is a key step to the construction of HVAC models for a population of units with insufficient data. These parameters include the size of floors, insulation efficiency, the amount of solid mass in the house, and efficiency of the HVAC units.more » These parameters are usually assumed to follow Gaussian or Uniform distributions. We study the effect of uncertainty in the chosen parameter distributions on the aggregate HVAC response to DR signals, during transient phase and in steady state. We use a quasi-Monte Carlo sampling method with linear regression and Prony analysis to evaluate sensitivity of DR output to the uncertainty in the distribution parameters. The significance ranking on the uncertainty sources is given for future guidance in the modeling of HVAC demand response.« less

A MODELING FRAMEWORK FOR ESTIMATING CHILDREN'S RESIDENTIAL EXPOSURE AND DOSE TO CHLORPYRIFOS VIA DERMAL RESIDUE CONTACT AND NON-DIETARY INGESTION

EPA Science Inventory

To help address the Food Quality Protection Act of 1996, a physically-based probabilistic model (Residential Stochastic Human Exposure and Dose Simulation Model for Pesticides; Residential-SHEDS) has been developed to quantify and analyze dermal and non-dietary ingestion exposu...

Intelligent demand side management of residential building energy systems

NASA Astrophysics Data System (ADS)

Sinha, Maruti N.

Advent of modern sensing technologies, data processing capabilities and rising cost of energy are driving the implementation of intelligent systems in buildings and houses which constitute 41% of total energy consumption. The primary motivation has been to provide a framework for demand-side management and to improve overall reliability. The entire formulation is to be implemented on NILM (Non-Intrusive Load Monitoring System), a smart meter. This is going to play a vital role in the future of demand side management. Utilities have started deploying smart meters throughout the world which will essentially help to establish communication between utility and consumers. This research is focused on investigation of a suitable thermal model of residential house, building up control system and developing diagnostic and energy usage forecast tool. The present work has considered measurement based approach to pursue. Identification of building thermal parameters is the very first step towards developing performance measurement and controls. The proposed identification technique is PEM (Prediction Error Method) based, discrete state-space model. The two different models have been devised. First model is focused toward energy usage forecast and diagnostics. Here one of the novel idea has been investigated which takes integral of thermal capacity to identify thermal model of house. The purpose of second identification is to build up a model for control strategy. The controller should be able to take into account the weather forecast information, deal with the operating point constraints and at the same time minimize the energy consumption. To design an optimal controller, MPC (Model Predictive Control) scheme has been implemented instead of present thermostatic/hysteretic control. This is a receding horizon approach. Capability of the proposed schemes has also been investigated.

A Method for Modeling Household Occupant Behavior to Simulate Residential Energy Consumption

DOE Office of Scientific and Technical Information (OSTI.GOV)

Johnson, Brandon J; Starke, Michael R; Abdelaziz, Omar

2014-01-01

This paper presents a statistical method for modeling the behavior of household occupants to estimate residential energy consumption. Using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS), actions carried out by survey respondents are categorized into ten distinct activities. These activities are defined to correspond to the major energy consuming loads commonly found within the residential sector. Next, time varying minute resolution Markov chain based statistical models of different occupant types are developed. Using these behavioral models, individual occupants are simulated to show how an occupant interacts with the major residential energy consuming loadsmore » throughout the day. From these simulations, the minimum number of occupants, and consequently the minimum number of multiple occupant households, needing to be simulated to produce a statistically accurate representation of aggregate residential behavior can be determined. Finally, future work will involve the use of these occupant models along side residential load models to produce a high-resolution energy consumption profile and estimate the potential for demand response from residential loads.« less

Environmental Impact of Buildings--What Matters?

PubMed

Heeren, Niko; Mutel, Christopher L; Steubing, Bernhard; Ostermeyer, York; Wallbaum, Holger; Hellweg, Stefanie

2015-08-18

The goal of this study was to identify drivers of environmental impact and quantify their influence on the environmental performance of wooden and massive residential and office buildings. We performed a life cycle assessment and used thermal simulation to quantify operational energy demand and to account for differences in thermal inertia of building mass. Twenty-eight input parameters, affecting operation, design, material, and exogenic building properties were sampled in a Monte Carlo analysis. To determine sensitivity, we calculated the correlation between each parameter and the resulting life cycle inventory and impact assessment scores. Parameters affecting operational energy demand and energy conversion are the most influential for the building's total environmental performance. For climate change, electricity mix, ventilation rate, heating system, and construction material rank the highest. Thermal inertia results in an average 2-6% difference in heat demand. Nonrenewable cumulative energy demand of wooden buildings is 18% lower, compared to a massive variant. Total cumulative energy demand is comparable. The median climate change impact is 25% lower, including end-of-life material credits and 22% lower, when credits are excluded. The findings are valid for small offices and residential buildings in Switzerland and regions with similar building culture, construction material production, and climate.

Longrun supply and demand of new residential construction in the United States: 1986 to 2040.

Treesearch

Claire A. Montgomery

1989-01-01

A model of U.S. housing demand and supply was developed that projects housing starts for use in long-term forest planning. Housing demand was shown to respond to the current sale price and the user capital cost of housing and to the size and age composition of the population. Current sale price is determined in the new construction market. Supply of new construction...

Stormwater pollution in suburban ecosystems: the role of residential rooftop connectivity

NASA Astrophysics Data System (ADS)

Miles, B.; Band, L. E.

2013-12-01

Stormwater pollution has been recognized as a major concern of urban sustainability. Understanding interactions between urban landcover and stormwater pollution can be advanced through the development of spatially explicit ecohydrology models that simulate fine-scale residential stormwater management; this requires high-resolution LIDAR and landcover data, as well as field observation at the household scale. The objective of my research is to improve understanding of how parcel-scale heterogeneity of impervious and previous surfaces effect stormwater volume. In support of this objective, I present results from work to: (1) perform field observation of existing patterns of residential rooftop connectivity to nearby impervious surfaces; (2) modify the Regional Hydro-Ecological Simulation System (RHESSys) to explicitly represent non-topographic surface flow routing of rooftops; and (3) develop RHESSys models for urban-suburban headwater watersheds in Baltimore, MD (as part of the Baltimore Ecosystem Study (BES) NSF Long-Term Ecological Research (LTER) site) and Durham, NC (as part of the NSF Urban Long-Term Research Area (ULTRA) program). I use these models to simulate stormwater volume resulting from both baseline residential rooftop impervious connectivity and for disconnection scenarios (e.g. roof drainage to lawn v. engineered rain garden, upslope v. riparian). This research will help to improve representation of fine-scale surface flow features in urban ecohydrology modeling while informing policy decisions over how best to implement parcel-scale retrofits in existing neighborhoods to reduce stormwater pollution at the watershed scale.

Mitigation of CO2 emissions from the EU-15 building stock: beyond the EU Directive on the Energy Performance of Buildings.

PubMed

Petersdorff, Carsten; Boermans, Thomas; Harnisch, Jochen

2006-09-01

GOAL SCOPE AND BACKGROUND: The European Directive on Energy Performance of Buildings which came into force 16 December 2002 will be implemented in the legislation of Member States by 4 January 2006. In addition to the aim of improving the overall energy efficiency of new buildings, large existing buildings will become a target for improvement, as soon as they undergo significant renovation. The building sector is responsible for about 40% of Europe's total end energy consumption and hence this Directive is an important step for the European Union in order that it should reach the level of saving required by the Kyoto Agreement. In this the EU is committed to reduce CO2 emissions relative to the base year of 1990 by 8 per cent, by 2010. But what will be the impact of the new Directive, how large could be the impacts of extending the obligation for energy efficiency retrofitting towards smaller buildings? Can improvement of the insulation offset or reduce the growing energy consumption from the increasing installation of cooling installations? EURIMA, the European Insulation Manufacturers Association and EuroACE, the European Alliance of Companies for Energy Efficiency in Buildings, asked Ecofys to address these questions. The effect of the EPB Directive on the emissions associated with the heating energy consumption of the total EU 15 building stock has been examined in a model calculation, using the Built Environment Analysis Model (BEAM), which was developed by Ecofys to investigate energy saving measures in the building stock. The great complexity of the EU-15 building stock had to be simplified by examining five standard buildings with eight insulation standards, which are assigned to building age and renovation status. Furthermore, three climatic regions (cold, moderate, warm) were distinguished for the calculation of the heating energy demand. This gave a basic 210 building types for which the heating energy demand and CO2 emissions from heating were calculated according to the principles of the European Norm EN 832. The model calculations demonstrates that the main contributor to the total heating related CO2 emissions of 725 Mt/a from the EU building stock in 2002 is the residential sector (77%) while the remaining 23% originates from non-residential buildings. In the residential sector, single-family houses represent the largest group responsible for 60% of the total CO2 emissions equivalent to 435 Mt/a. THE TECHNICAL POTENTIAL: If all retrofit measures in the scope of the Directive were realised immediately for the complete residential and non-residential building stock the overall CO2 emission savings would add up to 82 Mt/a. An additional saving potential compared to the Directive of 69 Mt/a would be created if the scope of the Directive was extended to cover retrofit measures in multi-family dwellings (200-1000 m2) and non-residential buildings smaller than 1000 m2 used floor space. In addition including the large group of single-family dwellings would lead to a potential for additional CO2 emission reductions compared to the Directive of 316 Mt/a. TEMPORAL MOBILIZATION OF THE POTENTIAL: Calculations based on the building stock as it develops over time with average retrofit rates demonstrated that regulations introduced following the EPB Directive result in a CO2 emissions decrease of 34 Mt/a by the year 2010 compared to the business as usual scenario. Extending the scope of the EPB Directive to all residential buildings (including single and multi-family dwellings), the CO2 emission savings potential over the 'business as usual' scenario could be doubled to 69 Mt/a in the year 2010. This creates an additional saving potential compared to the Directive of 36 Mt/a. COOLING DEMAND: The analysis demonstrated that in warm climatic zones the cooling demand can be reduced drastically by a combination of lowering the internal heat loads and by improved insulation. With the reduction of the heat loads to a moderate level the cooling demand, e.g. of a terraced house located in Madrid, can be reduced by an additional 85% if the insulation level is improved appropriately. This study demonstrates that the European Directive on Energy Performance of Buildings will have a significant impact on the CO2 emissions of the European building stock. The main saving potential lies in insulation of the existing building stock. Beyond this, CO2 emissions could, however, be greatly reduced if the scope of the Directive were to be extended to include retrofit of smaller buildings. The reductions should be seen in relation to the remaining gap of 190 Mt CO2 eq. per annum between the current emission levels of EU-15 and the target under the Kyoto-Protocol for the year 2010. The energy and industrial sector will probably contribute only a fraction of this reduction via the newly established EU emissions trading scheme and connected projects under the flexible mechanism. In addition, the traffic sector is likely to continue its growth path leading to a widening of the gap. Thus, there is likely to be considerable pressure on the EU building sector to contribute to the EU climate targets beyond what will be achieved by means of the current EPB Directive. Legislators on the EU and national level are therefore advised to take accelerated actions to tap the very significant emission reduction potentials available in the EU building stock.

Motivation and Readiness for Drug Treatment: Differences by Modality and Special Populations

PubMed Central

Melnick, Gerald; Hawke, Josephine; De Leon, George

2014-01-01

The purpose of this research is to expand our knowledge of motivational factors among admissions to various substance abuse treatment modalities and among those entering special programs. Differences in motivation are reported in a convenience sample of over 6000 admissions to 38 programs. Results from multilevel analyses show (1) an ordered increase in motivation by settings from referral to out patient, to methadone maintenance, to highest levels in residential programs; (2) significantly lower motivation among admissions to programs for special populations. Results are discussed in relation to the demand characteristics of treatment and non-recovery reasons for entering treatment. PMID:24735224

Motivation and readiness for drug treatment: differences by modality and special populations.

PubMed

Melnick, Gerald; Hawke, Josephine; De Leon, George

2014-01-01

The purpose of this research is to expand our knowledge of motivational factors among admissions to various substance abuse treatment modalities and among those entering special programs. Differences in motivation are reported in a convenience sample of more than 6,000 admissions to 38 programs. Results from multilevel analyses show (a) an ordered increase in motivation by settings from referral to outpatient, to methadone maintenance, and to the highest levels in residential programs and (b) significantly lower motivation among admissions to programs for special populations. Results are discussed in relation to the demand characteristics of treatment and non-recovery reasons for entering treatment.

Estimated Use of Water in the Upper Duck River Watershed, Central Tennessee, and Water-Demand Projections through 2030

USGS Publications Warehouse

Hutson, Susan S.

2008-01-01

Future municipal water demand was estimated for the Bedford, Coffee, Marshall, and Maury-southern Williamson water-service areas in the upper Duck River watershed in central Tennessee through 2030. The Duck River, a primary source of municipal water, provided a total of 24.3 million gallons per day (Mgal/d) or 92 percent of the total water use in the study area during 2000. Municipal water use increased 46 percent from 1981 to 2000 (from 18.0 to 26.3 Mgal/d). Water demand for municipal use is expected to continue to increase through 2030 because of the recent intensive and anticipated growth in the residential and commercial sectors. Constant-rate models were used to estimate future municipal water demand. Data on residential and nonresidential billing accounts and estimates of public use and losses were used to calibrate the models. Two watershed scenarios for each water-supply system that depends on the Duck River for supply were simulated. Scenario 1 considered monthly water demand during typical weather conditions as represented by monthly per account use during 2003 and a rate of growth in customer accounts from 1999 to 2003. Results showed that total municipal water use could increase about 104 percent to 51 Mgal/d by 2030, residential water use could increase about 140 percent to 24 Mgal/d, nonresidential water use could increase about 110 percent to 17 Mgal/d, and public use and losses could increase about 83 percent to 11 Mgal/d. Scenario 2 considered monthly water demand during drought conditions as represented by monthly per account use during 2000 and recent growth in customer accounts from 1999 to 2003 or, for selected water-supply systems, an increasing rate of growth. Results showed that total municipal water use could increase about 120 percent to 55 Mgal/d, residential water use could increase about 160 percent to 26 Mgal/d, nonresidential water use could increase about 122 percent to 18 Mgal/d, and public use and losses could double and increase to 12 Mgal/d. For both scenarios the model assumed that the Duck River would supply all future surface-water needs in the study area, that ground-water resources would be sufficient to meet growing demands of the water-supply systems that depend on ground water, and that the amount of surface water sold to water-supply systems primarily dependent on ground water would remain the same through 2030.

The Grog Mob: lessons from an evaluation of a multi-disciplinary alcohol intervention for Aboriginal clients.

PubMed

d'Abbs, Peter; Togni, Samantha; Rosewarne, Clive; Boffa, John

2013-10-01

To evaluate a 12-month trial of an evidence-based non-residential treatment program for Indigenous clients with alcohol problems, offering three streams of care: pharmacotherapy, psychological and social support. Process evaluation of program implementation; outcome evaluation of client outcomes. despite constraints of time and remoteness, the trial demonstrated the feasibility of implementing such a program. The medical stream generated fewer pharmacotherapy prescriptions than expected. The most active stream was the psychological therapy stream. between March 2008 and April 2009, 129 clients were referred to the program, of whom 49 consented to have de-identified data used for the evaluation. Of these, 19 clients received one or more streams of care, 15 of whom (78.9%) subsequently stopped or reduced drinking. However, among the remaining 30 consenting clients who had not received an intervention, 70.0% also reported stopping or reducing drinking. The evidence of program effectiveness is therefore equivocal and evaluation over a longer period is required. The trial demonstrated the viability of, and demand for, evidence-based non-residential treatment for Indigenous clients with alcohol problems. Reasons behind an apparent reluctance among GPs to prescribe pharmacotherapy for Indigenous clients, and steps to overcome this, need further attention. © 2013 The Authors. ANZJPH © 2013 Public Health Association of Australia.

24 CFR 248.141 - Criteria for approval of a plan of action involving prepayment and voluntary termination.

Code of Federal Regulations, 2010 CFR

2010-04-01

... inventory, residential construction activity, and the current and anticipated supply/demand conditions... and anticipated supply/demand conditions in both the overall rental market and the assisted housing... involuntary displacement; and (2) The supply of vacant, comparable housing is sufficient to ensure that such...

Landscaping practices, land use patterns and stormwater quantity and quality in urban watersheds

NASA Astrophysics Data System (ADS)

Miles, B.; Band, L. E.

2011-12-01

Increasing quantity and decreasing quality of urban stormwater threatens biodiversity in local streams and reservoirs, jeopardizes water supplies, and ultimately contributes to estuarine eutrophication. To estimate the effects that present and alternative landscaping practices and land use patterns may have on urban stormwater quantity and quality, simulations of existing land use/land cover using the Regional Hydro-Ecologic Simulation System (RHESSys), a process-based surface hydrology and biogeochemistry model, were developed for watersheds in Baltimore, MD (as part of the Baltimore Ecosystem Study (BES) NSF Long-Term Ecological Research (LTER) site) and Durham, NC (as part of the NSF Urban Long-Term Research Area (ULTRA) program). The influence of land use patterns and landscaping practices on nutrient export in urban watersheds has been explored as part of the BES; this work has focused on improving our understanding of how residential landscaping practices (i.e. lawn fertilization rates) vary across land use and socioeconomic gradients. Elsewhere, others have explored the political ecology of residential landscaping practices - seeking to understand the economic, political, and cultural influences on the practice of high-input residential turf-grass management. Going forward, my research will synthesize and extend this prior work. Rather than pre-supposing predominant residential land use patterns and landscaping practices (i.e. lower-density periphery development incorporating high-input turf landscapes) alternate land use and landscaping scenarios (e.g. higher-density/transit-oriented development, rain gardens, vegetable gardens, native plant/xeriscaping) will be developed through interviews/focus groups with stakeholders (citizens, public officials, developers, non-profits). These scenarios will then be applied to the RHESSys models already developed for catchments in Baltimore and Durham. The modeled scenario results will be used to identify alternate land use patterns and landscaping practices that would: (1) help to reduce non-point sources of nutrient pollution in urban watersheds; and (2) be likely to gain public support. This research will inform sustainable development policy while furthering interdisciplinary research in the fields of planning and water resource management.

Determining residential energy consumption-based CO2 emissions and examining the factors affecting the variation in Ankara, Turkey

NASA Astrophysics Data System (ADS)

Kus, Melike; Akan, Perihan; Aydinalp Koksal, Merih; Gullu, Gulen

2017-11-01

Energy demand of Turkey has been showing a remarkable increase in the last two decades due to rapid increase in population and changes in consumption trends. In parallel to the increase in energy demand, the CO2 emissions in Turkey are also increasing dramatically due to high usage of fossil fuels. CO2 emissions from the residential sector covers almost one fourth of the total sectoral emissions. In this study, CO2 emissions from the residential sector are estimated, and the factors affecting the emission levels are determined for the residential sector in Ankara, Turkey. In this study, detailed surveys are conducted to more than 400 households in Ankara. Using the information gathered from the surveys, the CO2 emissions associated with energy consumption of the households are calculated using the methodology outlined at IPCC. The statistical analyses are carried out using household income, dwelling characteristics, and household economic and demographic data to determine the factors causing the variation in emission levels among the households. The results of the study present that the main factors impacting the amount of total energy consumption and associated CO2 emissions are household income, dwelling construction year, age, education level of the household, and net footage of the dwelling.

Health and Quality of Life of Aboriginal Residential School Survivors, Bella Coola Valley, 2001

ERIC Educational Resources Information Center

Barton, Sylvia S.; Thommasen, Harvey V.; Tallio, Bill; Zhang, William; Michalos, Alex C.

2005-01-01

The purpose of this study was to make comparisons between Aboriginal residential school survivors' perceptions of health status and overall quality of life, and Aboriginal non-residential school attendees, as well as between non-Aboriginals. Data were obtained from thirty-three questions derived from the 2001 Determinants of Health and Quality of…

Helping Students Understand Intersectionality: Reflections from a Dialogue Project in Residential Life

ERIC Educational Resources Information Center

Claros, Sharon Chia; Garcia, Gina A.; Johnston-Guerrero, Marc P.; Mata, Christine

2017-01-01

In this chapter, the authors share insights from a dialogue project focused on intersectionality within a residential life setting and discuss additional strategies for helping students understand intersectionality.

Residential Variable-Capacity Heat Pumps Sized to Heating Loads

DOE Office of Scientific and Technical Information (OSTI.GOV)

Munk, Jeffrey D.; Jackson, Roderick K.; Odukomaiya, Adewale

2014-01-01

Variable capacity heat pumps are an emerging technology offering significant energy savings potential and improved efficiency. With conventional single-speed systems, it is important to appropriately size heat pumps for the cooling load as over-sizing would result in cycling and insufficient latent capacity required for humidity control. These appropriately sized systems are often under-sized for the heating load and require inefficient supplemental electric resistance heat to meet the heating demand. Variable capacity heat pumps address these shortcomings by providing an opportunity to intentionally size systems for the dominant heating season load without adverse effects of cycling or insufficient dehumidification in themore » cooling season. This intentionally-sized system could result in significant energy savings in the heating season, as the need for inefficient supplemental electric resistance heat is drastically reduced. This is a continuation of a study evaluating the energy consumption of variable capacity heat pumps installed in two unoccupied research homes in Farragut, a suburb of Knoxville, Tennessee. In this particular study, space conditioning systems are intentionally sized for the heating season loads to provide an opportunity to understand and evaluate the impact this would have on electric resistance heat use and dehumidification. The results and conclusions drawn through this research are valid and specific for portions of the Southeastern and Midwestern United States falling in the mixed-humid climate zone. While other regions in the U.S. do not experience this type of climate, this work provides a basis for, and can help understand the implications of other climate zones on residential space conditioning energy consumption. The data presented here will provide a framework for fine tuning residential building EnergyPlus models that are being developed.« less

A randomized crossover trial to study the effect of personalized, one-to-one interaction using Montessori-based activities on agitation, affect, and engagement in nursing home residents with Dementia.

PubMed

van der Ploeg, Eva S; Eppingstall, Barbara; Camp, Cameron J; Runci, Susannah J; Taffe, John; O'Connor, Daniel W

2013-04-01

Increasingly more attention has been paid to non-pharmacological interventions as treatment of agitated behaviors that accompany dementia. The aim of the current study is to test if personalized one-to-one interaction activities based on Montessori principles will improve agitation, affect, and engagement more than a relevant control condition. We conducted a randomized crossover trial in nine residential facilities in metropolitan Melbourne, Australia (n = 44). Personalized one-to-one activities that were delivered using Montessori principles were compared with a non-personalized activity to control for the non-specific benefits of one-to-one interaction. Participants were observed 30 minutes before, during, and after the sessions. The presence or absence of a selected physically non-aggressive behavior was noted in every minute, together with the predominant type of affect and engagement. Behavior counts fell considerably during both the Montessori and control sessions relative to beforehand. During Montessori activities, the amount of time spend actively engaged was double compared to during the control condition and participants displayed more positive affect and interest as well. Participants with no fluency in English (all from non-English speaking backgrounds) showed a significantly larger reduction in agitation during the Montessori than control sessions. Our results show that even non-personalized social contact can assist in settling agitated residents. Tailoring activities to residents' needs and capabilities elicit more positive interactions and are especially suitable for people who have lost fluency in the language spoken predominantly in their residential facility. Future studies could explore implementation by family members and volunteers to avoid demands on facilities' resources. Australian New Zealand Clinical Trials Registry - ACTRN12609000564257.

Estimating residential price elasticity of demand for water: A contingent valuation approach

NASA Astrophysics Data System (ADS)

Thomas, John F.; Syme, Geoffrey J.

1988-11-01

Residential households in Perth, Western Australia have access to privately extracted groundwater as well as a public mains water supply, which has been charged through a two-part block tariff. A contingent valuation approach is developed to estimate price elasticity of demand for public supply. Results are compared with those of a multivariate time series analysis. Validation tests for the contingent approach are proposed, based on a comparison of predicted behaviors following hypothesised price changes with relevant independent data. Properly conducted, the contingent approach appears to be reliable, applicable where the available data do not favor regression analysis, and a fruitful source of information about social, technical, and behavioral responses to change in the price of water.

DOE Office of Scientific and Technical Information (OSTI.GOV)

de la Rue du Can, Stephane; Hasanbeigi, Ali; Sathaye, Jayant

This report on the California Energy Balance version 2 (CALEB v2) database documents the latest update and improvements to CALEB version 1 (CALEB v1) and provides a complete picture of how energy is supplied and consumed in the State of California. The CALEB research team at Lawrence Berkeley National Laboratory (LBNL) performed the research and analysis described in this report. CALEB manages highly disaggregated data on energy supply, transformation, and end-use consumption for about 40 different energy commodities, from 1990 to 2008. This report describes in detail California's energy use from supply through end-use consumption as well as the datamore » sources used. The report also analyzes trends in energy demand for the "Manufacturing" and "Building" sectors. Decomposition analysis of energy consumption combined with measures of the activity driving that consumption quantifies the effects of factors that shape energy consumption trends. The study finds that a decrease in energy intensity has had a very significant impact on reducing energy demand over the past 20 years. The largest impact can be observed in the industry sector where energy demand would have had increased by 358 trillion British thermal units (TBtu) if subsectoral energy intensities had remained at 1997 levels. Instead, energy demand actually decreased by 70 TBtu. In the "Building" sector, combined results from the "Service" and "Residential" subsectors suggest that energy demand would have increased by 264 TBtu (121 TBtu in the "Services" sector and 143 TBtu in the "Residential" sector) during the same period, 1997 to 2008. However, energy demand increased at a lesser rate, by only 162 TBtu (92 TBtu in the "Services" sector and 70 TBtu in the "Residential" sector). These energy intensity reductions can be indicative of energyefficiency improvements during the past 10 years. The research presented in this report provides a basis for developing an energy-efficiency performance index to measure progress over time in the State of California.« less

The Demand Reduction Potential of Smart Appliances in U.S. Homes

DOE Office of Scientific and Technical Information (OSTI.GOV)

Makhmalbaf, Atefe; Srivastava, Viraj; Parker, Graham B.

The widespread deployment of demand respond (DR) enabled home appliances is expected to have significant reduction in the demand of electricity during peak hours. The work documented in this paper focuses on estimating the energy shift resulting from the installation of DR enabled smart appliances in the U.S. This estimation is based on analyzing the market for smart appliances and calculating the total energy demand that can potentially be shifted by DR control in appliances. Appliance operation is examined by considering their sub components individually to identify their energy consumptions and savings resulting from interrupting and shifting their load, e.g.,more » by delaying the refrigerator defrost cycle. In addition to major residential appliances, residential pool pumps are also included in this study given their energy consumption profiles that make them favorable for DR applications. In the market analysis study documented in this paper, the U.S. Energy Information Administration's (EIA) Residential Energy Consumption Survey (RECS) and National Association of Home Builders (NAHB) databases are used to examine the expected life of an appliance, the number of appliances installed in homes constructed in 10 year intervals after 1940 and home owner income. Conclusions about the effectiveness of the smart appliances in reducing electrical demand have been drawn and a ranking of appliances in terms of their contribution to load shift is presented. E.g., it was concluded that DR enabled water heaters result in the maximum load shift; whereas, dishwashers have the highest user elasticity and hence the highest potential for load shifting through DR. This work is part of a larger effort to bring novel home energy management concepts and technologies to reduce energy consumption, reduce peak electricity demand, integrate renewables and storage technology, and change homeowner behavior to manage and consume less energy and potentially save consumer energy costs.« less

Progressing Deployment of Solar Photovoltaic Installations in the United States

NASA Astrophysics Data System (ADS)

Kwan, Calvin Lee

2011-07-01

This dissertation evaluates the likelihood of solar PV playing a larger role in national and state level renewable energy portfolios. I examine the feasibility of large-scale solar PV arrays on college campuses, the financials associated with large-scale solar PV arrays and finally, the influence of environmental, economic, social and political variables on the distribution of residential solar PV arrays in the United States. Chapter two investigates the challenges and feasibility of college campuses adopting a net-zero energy policy. Using energy consumption data, local solar insolation data and projected campus growth, I present a method to identify the minimum sized solar PV array that is required for the City College campus of the Los Angeles Community College District to achieve net-zero energy status. I document how current energy demand can be reduced using strategic demand side management, with remaining energy demand being met using a solar PV array. Chapter three focuses on the financial feasibility of large-scale solar PV arrays, using the proposed City College campus array as an example. I document that even after demand side energy management initiatives and financial incentives, large-scale solar PV arrays continue to have ROIs greater than 25 years. I find that traditional financial evaluation methods are not suitable for environmental projects such as solar PV installations as externalities are not taken into account and therefore calls for development of alternative financial valuation methods. Chapter four investigates the influence of environmental, social, economic and political variables on the distribution of residential solar PV arrays across the United States using ZIP code level data from the 2000 US Census. Using data from the National Renewable Energy Laboratory's Open PV project, I document where residential solar PVs are currently located. A zero-inflated negative binomial model was run to evaluate the influence of selected variables. Using the same model, predicted residential solar PV shares were generated and illustrated using GIS software. The results of this model indicate that solar insolation, state energy deregulation and cost of electricity are statistically significant factors positively correlated with the adoption of residential solar PV arrays. With this information, policymakers at the towns and cities level can establish effective solar PV promoting policies and regulations for their respective locations.

A Methology for Assessing the Regional Transportation Energy Demands of Different Spatial Residential Development Scenarios: a Case Study for the Upper Housatonic River Basin, Massachusetts

NASA Technical Reports Server (NTRS)

Oski, J. A.; Fabos, J. G.; Gross, M.

1982-01-01

A method is suggested whereby regional landscape planning efforts can be aided by the use of a geographic information system to determine sites for more energy efficient residential and mixed use developments within a study area. The location of land parcels suited for residential and mixed land use developments in the Upper Housatonic River Basin Study Area in Berkshire County, Massachusetts is described as well as the three development options. Significant steps in the procedure are discussed and the computation of the transportation energy requirement is elaborated.

Technology assessment of solar energy systems: Residential use of fuelwood in the Pacific Northwest

NASA Astrophysics Data System (ADS)

Petty, P. N.; Hopp, W. J.

1981-08-01

The evidence of impacts associated with the use of fuelwood for residential space heating in the region including the states of Washington, Oregon, and Idaho is identified and evaluated. The use of fuelwood for space heating was projected into the future, and then the potential size of the impacts that had been identified and estimated was evaluated. These projections are provided in five year increments beginning in 1980 and proceeding to the year 2000. Policy options are suggested which may mitigate the adverse impacts identified, while preserving the positive effect of reducing residential demand for energy derived from nonrenewable sources.

Patterns of residential crowding among Hispanics in later life: immigration, assimilation, and housing market factors.

PubMed

Burr, Jeffrey A; Mutchler, Jan E; Gerst, Kerstin

2010-11-01

We describe patterns of residential crowding among older Hispanics and non-Hispanic Whites. We also examine hypotheses about the relationship of residential crowding with assimilation (language and duration of residence) and housing market characteristics. We employ a multilevel research design, using data from the 2000 U.S. Census of Population. Hierarchical linear models are utilized to estimate the association between residential crowding and both individual and housing market factors. Approximately one third of older Hispanics in metropolitan areas live in crowded housing compared with only one tenth of older non-Hispanic Whites. Foreign-born older persons report higher levels of crowding than U.S.-born older persons. Residential crowding differences between older Hispanics and non-Hispanics are not eliminated after controls are included. Older Hispanics who report better English language skills and a longer duration of residence in the United States live in less crowded housing. We do not find evidence for a relationship between crowding and residential segregation, but we find consistent evidence for an association between residential crowding and relative size of the Hispanic population. The forces that shape household composition and access to housing among older Hispanics appear to result in higher levels of residential crowding for this population.

Residential segregation and racial disparities in self-rated health: How do dimensions of residential segregation matter?1

PubMed Central

Yang, Tse-Chuan; Zhao, Yunhan; Song, Qian

2016-01-01

Previous research on segregation and health has been criticized for overlooking the fact that segregation is a multi-dimensional concept (i.e., evenness, exposure, concentration, centralization, and clustering) and recent evidence drawn from non-black minorities challenges the conventional belief that residential segregation widens racial health disparities. Combining a survey data (n=18,752) from Philadelphia with the 2010 Census tract (n=925) data, we examine two theoretical frameworks to understand why the association of segregation with health may differ by race/ethnicity. Specifically, we investigate how each dimension of segregation contributed to racial disparities in self-rated health. We found (1) high levels of white/ black concentration could exacerbate the white/black health disparities up to 25 percent, (2) the white/Hispanic health disparities was narrowed by increasing the level of white/Hispanic centralization, and (3) no single dimension of segregation statistically outperforms others. Our findings supported that segregation is bad for blacks but may be beneficial for Hispanics. PMID:27886735

Inclusion of climatic and touristic factors in the analysis and modelling of the municipal water demand in a Mediterranean region

NASA Astrophysics Data System (ADS)

Toth, Elena; Bragalli, Cristiana; Neri, Mattia

2017-04-01

In Mediterranean regions, inherently affected by water scarcity conditions, the gap between water availability and demand may further increase in the near future due to both climatic and anthropogenic drivers. In particular, the high degree of urbanization and the concentration of population and activities in coastal areas is often severely impacting the water availability also for the residential sector. It is therefore crucial analysing the importance of both climatic and touristic factors as drivers for the water demand in such areas, to better understand and model the expected consumption in order to improve the water management policies and practices. The study presents an analysis referred to a large number of municipalities, covering almost the whole Romagna region, in Northern Italy, representing one of the most economically developed areas in Europe and characterized by an extremely profitable tourist industry, especially in the coastal cities. For this region it is therefore extremely important to assess the significance of the drivers that may influence the demand in the different periods of the year, that is climatic factors (rainfall depths and occurrence, temperature averages and extremes), but also the presence of tourists, in both official tourist accommodation structures and in holidays homes (and the latter are very difficult to estimate). Analyses on the Italian water industry at seasonal or monthly time scale has been so far, extremely limited in the literature by the scarce availability of data on the water demands, that are made public only as annual volumes. All the study municipalities are supplied by the same water company, who provided monthly consumption volumes data at the main inlet points of the entire distribution network for a period of 7 years (2009-2015). For the same period, precipitation and temperature data have been collected and summarised in indexes representing monthly averages, days of occurrence and over threshold values; in addition, information on the tourist flows, at monthly scale, have been collected and processed. Such data have been validated and aggregated at municipal or multi-municipal scale and are analysed, in particular in reference to a severe dry period occurred in 2011-2012, in order to understand the demand pattern and the users' response to a water scarcity condition, examining the influence of the different climatic and anthropogenic (touristic) drivers on the water demand. Finally, a non-linear model, based on a neural network architecture, was implemented for each municipality, for simulating the monthly water demand as a function of previous demands and of the identified climatic and touristic indexes: the outcomes of the models demonstrate the added value of the addition of determinants based on both climatic and touristic data and such value, as expected, is higher for the coastal municipalities, having a higher tourist vocation.

Influences of Hydrological Regime on Runoff Quality and Pollutant Loadings in Tropical Urban Areas

NASA Astrophysics Data System (ADS)

Chow, M.; Yusop, Z.

2011-12-01

Experience in many developed countries suggests that non point source (NPS) pollution is still the main contributor to pollutant loadings into water bodies in urban areas. However, the mechanism of NPS pollutant transport and the influences of hydrologic regime on the pollutant loading are still unclear. Understanding these interactions will be useful for improving design criteria and strategies for controlling NPS pollution in urban areas. This issue is also extremely relevant in tropical environment because its rainfall and the runoff generation processes are so different from the temperate regions where most of the studies on NPS pollutant have been carried out. In this regard, an intensive study to investigate the extent of this pollution was carried out in Skudai, Johor, Malaysia. Three small catchments, each represents commercial, residential and industrial land use were selected. Stormwater samples and flow rate data were collected at these catchments over 52 storm events from year 2008 to 2009. Samples were analyzed for ten water quality constituents including total suspended solids, 5-day biochemical oxygen demand, chemical oxygen demand, oil and grease, nitrate nitrogen, nitrite nitrogen, ammonia nitrogen, soluble phosphorus, total phosphorus and zinc. Quality of stormwater runoff is estimated using Event Mean Concentration (EMC) value. The storm characteristics analyzed included rainfall depth, rainfall duration, mean intensity, max 5 minutes intensity, antecedent dry day, runoff volume and peak flow. Correlation coefficients were determined between storm parameters and EMCs for the residential, commercial and industrial catchments. Except for the antecedent storm mean intensity and antecedent dry days, the other rainfall and runoff variables were negatively correlated with EMCs of most pollutants. This study reinforced the earlier findings on the importance of antecedent dry days for causing greater EMC values with exceptions for oil and grease, nitrate nitrogen, total phosphorus and zinc. There is no positive correlation between rainfall intensity and EMC of constituents in all the studied catchments. In contrast, the pollutant loadings are influenced primarily by the rainfall and runoff characteristics. Rainfall depth, mean intensity, max 5 minute intensity, runoff volume and peak flow were positively correlated with the loadings of most of the constituents. Antecedent storm mean intensity and antecedent dry days seemed to be less important for estimating the pollutant loadings. Such study should be further conducted for acquiring a long term monitoring data related to storm runoff quality during rainfall, in order to have a better understanding on NPS pollution in urban areas.

Community choices and housing demands: a spatial analysis of the southern Appalachian highlands

Treesearch

Seong-Hoon Cho; David H. Newman; David N. Wear

2005-01-01

This paper examines housing demand using an integrated approach that combines residential decisions about choices of community in the Southern Appalachian region with the application of a Geographic Information System (GIS). The empirical model infers a distinctive heterogeneity in the characteristics of community choices. The results also indicate that socio-economic...

An impact assessment of sustainable technologies for the Chinese urban residential sector at provincial level

NASA Astrophysics Data System (ADS)

Xing, Rui; Hanaoka, Tatsuya; Kanamori, Yuko; Dai, Hancheng; Masui, Toshihiko

2015-06-01

Recently, energy use in the urban residential sector of China has drastically increased due to higher incomes and urbanization. The fossil fuels dominant energy supply has since worsened the air quality, especially in urban areas. In this study we estimate the future energy service demands in Chinese urban residential areas, and then use an AIM/Enduse model to evaluate the emission reduction potential of CO2, SO2, NOx and PM. Considering the climate diversity and its impact on household energy service demands, our analysis is down-scaled to the provincial-level. The results show that in most of the regions, penetration of efficient technologies will bring CO2 emission reductions of over 20% compared to the baseline by the year 2030. Deployment of energy efficient technologies also co-benefits GHG emission reduction. However, efficient technology selection appears to differ across provinces due to climatic variation and economic disparity. For instance, geothermal heating technology is effective for the cold Northern areas while biomass technology contributes to emission reduction the most in the warm Southern areas.

Examining Pretreatment Differences Between Veterans in Residential Versus Outpatient Treatment for Alcohol Use Disorder and Comorbid Combat-Related PTSD.

PubMed

Haller, Moira; Colvonen, Peter J; Davis, Brittany C; Trim, Ryan S; Bogner, Rebecca; Sevcik, John; Norman, Sonya B

2016-01-01

Veterans with alcohol use disorder (AUD) and co-occurring posttraumatic stress disorder (PTSD) have access to various residential and outpatient treatment programs through the VA Healthcare System. There is a need to better understand the characteristics and needs of veterans who engage in residential versus outpatient treatment in order to help inform veteran care and decisions about treatment services. The present study examined whether veterans with both AUD and combat-related PTSD who were enrolled in residential (n = 103) or outpatient treatment programs (n = 76) differed on pretreatment psychiatric symptoms, substance use and associated problems/behaviors, or demographics. Veterans completed self-report measures (which referenced symptoms in the past 30 days or 2 weeks) within the first week of PTSD/AUD treatment. Veterans in residential treatment had slightly worse PTSD symptoms compared to outpatient veterans; the groups reported similar levels of depression symptoms. Residential veterans had higher frequency of drug use, were more confident in their ability to be abstinent, attended more self-help meetings, spent more time around risky people or places, were more satisfied with their progress toward recovery goals, were more bothered by arguments with family/friends, and spent fewer days at work or school compared to outpatient veterans; the groups did not differ on drinking (frequency of use, binge drinking) or cravings. With respect to demographics, residential veterans were more likely to be married and non-Hispanic Caucasian (rather than minority races/ethnicities) compared to outpatient veterans. The finding that PTSD symptoms were more severe among veterans in residential substance use treatment highlights the importance of taking advantage of this crucial opportunity to engage veterans in evidence-based PTSD treatment. Consistent with other research, findings also indicated that individuals entering residential care have a higher level of impairment than those beginning outpatient care.

Evaluating the Magnitude and Duration of Cold Load Pick-up on Residential Distribution Feeders Using Multi-State Load Models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Schneider, Kevin P.; Sortomme, Eric; Venkata, S. S.

The increased level of demand that is associated with the restoration of service after an outage, Cold Load Pick-Up (CLPU), can be significantly higher than pre-outage levels, even exceeding the normal distribution feeder peak demand. These high levels of demand can delay restoration efforts and in extreme cases damage equipment. The negative impacts of CLPU can be mitigated with strategies that restore the feeder in sections, minimizing the load current. The challenge for utilities is to manage the current level on critical equipment while minimizing the time to restore service to all customers. Accurately modeling CLPU events is the firstmore » step in developing improved restoration strategies that minimize restoration times. This paper presents a new method for evaluating the magnitude of the CLPU peak, and its duration, using multi-state load models. The use of multi-state load models allows for a more accurate representation of the end-use loads that are present on residential distribution feeders.« less

24 CFR 50.20 - Categorical exclusions subject to the Federal laws and authorities cited in § 50.4.

Code of Federal Regulations, 2010 CFR

2010-04-01

...) The project does not involve changes in land use from residential to non-residential; and (C) The... more than 20 percent; and (B) The activity does not involve a change in land use, such as from non... residential use (with one to four units), the density is not increased beyond four units, the land use is not...

Pit Latrine Emptying Behavior and Demand for Sanitation Services in Dar Es Salaam, Tanzania

PubMed Central

Jenkins, Marion W.; Cumming, Oliver; Cairncross, Sandy

2015-01-01

Pit latrines are the main form of sanitation in unplanned areas in many rapidly growing developing cities. Understanding demand for pit latrine fecal sludge management (FSM) services in these communities is important for designing demand-responsive sanitation services and policies to improve public health. We examine latrine emptying knowledge, attitudes, behavior, trends and rates of safe/unsafe emptying, and measure demand for a new hygienic latrine emptying service in unplanned communities in Dar Es Salaam (Dar), Tanzania, using data from a cross-sectional survey at 662 residential properties in 35 unplanned sub-wards across Dar, where 97% had pit latrines. A picture emerges of expensive and poor FSM service options for latrine owners, resulting in widespread fecal sludge exposure that is likely to increase unless addressed. Households delay emptying as long as possible, use full pits beyond what is safe, face high costs even for unhygienic emptying, and resort to unsafe practices like ‘flooding out’. We measured strong interest in and willingness to pay (WTP) for the new pit emptying service at 96% of residences; 57% were WTP ≥U.S. $17 to remove ≥200 L of sludge. Emerging policy recommendations for safe FSM in unplanned urban communities in Dar and elsewhere are discussed. PMID:25734790

[The Relationship Between Burnout Symptoms and Work Satisfaction Among Child Welfare Workers in Residential Care].

PubMed

Steinlin, Célia; Dölitzsch, Claudia; Fischer, Sophia; Schmeck, Klaus; Fegert, Jörg M; Schmid, Marc

2016-01-01

Working in residential care is associated with high demands and high stress. As a result, employees may develop symptoms of burnout. These symptoms lead to absence from work and have a negative effect on the continuity and quality of the residential care. Until now, little is known about burnout risks in child welfare workers, although children and adolescents are especially dependent on continuous relationships and healthy caregivers. A better understanding of the relationship between burnout symptoms and work satisfaction may help to identify starting points for prevention and intervention. The present study assessed symptoms of burnout in a sample of 319 social education workers in residential care in Switzerland using the burnout-screening-scales (BOSS). Work satisfaction was assessed with a newly developed questionnaire based on concepts of trauma-sensitive care. The questionnaire was tested for reliability and factorial validity in the present study. In order to estimate the relationship between burnout symptoms and work satisfaction, correlations and relative risks were calculated. Almost one fifth (18 %) of the sample showed a risk of burnout. The principal component analysis of the questionnaire on work satisfaction revealed four factors: support by superiors, participation and transparency; communication and support within the team; gratification in the work; and institutional structures and resources. All four factors as well as the total score showed significant correlations with burnout symptoms. Among employees with a comparably lower work satisfaction, the risk of burnout was 5.4 times higher than among employees with a comparably higher work satisfaction. It is discussed how work satisfaction could be promoted and how, as a result, the quality and continuity of care for the children and adolescents could be improved.

Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jin, Ling; Lee, Doris; Sim, Alex

Current practice in whole time series clustering of residential meter data focuses on aggregated or subsampled load data at the customer level, which ignores day-to-day differences within customers. This information is critical to determine each customer’s suitability to various demand side management strategies that support intelligent power grids and smart energy management. Clustering daily load shapes provides fine-grained information on customer attributes and sources of variation for subsequent models and customer segmentation. In this paper, we apply 11 clustering methods to daily residential meter data. We evaluate their parameter settings and suitability based on 6 generic performance metrics and post-checkingmore » of resulting clusters. Finally, we recommend suitable techniques and parameters based on the goal of discovering diverse daily load patterns among residential customers. To the authors’ knowledge, this paper is the first robust comparative review of clustering techniques applied to daily residential load shape time series in the power systems’ literature.« less

Are College Graduates More Responsive to Distant Labor Market Opportunities?

ERIC Educational Resources Information Center

Wozniak, Abigail

2010-01-01

Are highly educated workers better at locating in areas with high labor demand? To answer this question, I use three decades of U.S. Census data to estimate a McFadden-style model of residential location choice. I test for education differentials in the likelihood that young workers reside in states experiencing positive labor demand shocks at the…

Background to the development process, Automated Residential Energy Standard (ARES) in support of proposed interim energy conservation voluntary performance standards for new non-federal residential buildings: Volume 3

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

This report documents the development and testing of a set of recommendations generated to serve as a primary basis for the Congressionally-mandated residential standard. This report treats only the residential building recommendations.

Exploring Tradeoffs in Demand-side and Supply-side Management of Urban Water Resources using Agent-based Modeling and Evolutionary Computation

NASA Astrophysics Data System (ADS)

Kanta, L.; Berglund, E. Z.

2015-12-01

Urban water supply systems may be managed through supply-side and demand-side strategies, which focus on water source expansion and demand reductions, respectively. Supply-side strategies bear infrastructure and energy costs, while demand-side strategies bear costs of implementation and inconvenience to consumers. To evaluate the performance of demand-side strategies, the participation and water use adaptations of consumers should be simulated. In this study, a Complex Adaptive Systems (CAS) framework is developed to simulate consumer agents that change their consumption to affect the withdrawal from the water supply system, which, in turn influences operational policies and long-term resource planning. Agent-based models are encoded to represent consumers and a policy maker agent and are coupled with water resources system simulation models. The CAS framework is coupled with an evolutionary computation-based multi-objective methodology to explore tradeoffs in cost, inconvenience to consumers, and environmental impacts for both supply-side and demand-side strategies. Decisions are identified to specify storage levels in a reservoir that trigger (1) increases in the volume of water pumped through inter-basin transfers from an external reservoir and (2) drought stages, which restrict the volume of water that is allowed for residential outdoor uses. The proposed methodology is demonstrated for Arlington, Texas, water supply system to identify non-dominated strategies for an historic drought decade. Results demonstrate that pumping costs associated with maximizing environmental reliability exceed pumping costs associated with minimizing restrictions on consumer water use.

Technology change and energy consumption: A comparison of residential subdivisions

NASA Astrophysics Data System (ADS)

Nieves, L. A.; Nieves, A. L.

The energy savings in residential buildings likely to result from implementation of the building energy performance standards (BEPS) were assessed. The goals were to: compare energy use in new homes designed to meet or exceed BEPS levels of energy efficiency with that in similar but older homes designed to meet conventional building codes, and to survey the home owners regarding their energy conservation attitudes and behaviors and to ascertain the degree to which conservation attitudes and behaviors are related to residential energy use. The consumer demand theory which provides the framework for the empirical analysis is presented. The sample residences are described and the data collection method discussed. The definition and measurement of major variables are presented.

U.S. Heat Demand by Sector for Potential Application of Direct Use Geothermal

DOE Data Explorer

Katherine Young

2016-06-23

This dataset includes heat demand for potential application of direct use geothermal broken down into 4 sectors: agricultural, commercial, manufacturing and residential. The data for each sector are organized by county, were disaggregated specifically to assess the market demand for geothermal direct use, and were derived using methodologies customized for each sector based on the availability of data and other sector-specific factors. This dataset also includes a paper containing a full explanation of the methodologies used.

Heating Oil and Propane Update

EIA Publications

2017-01-01

Weekly residential, wholesale, and spot prices; and production, demand, and stocks of heating fuels. (Weekly heating oil and propane prices are only collected during the heating season which extends from October through March.)

Emotional job demands and the role of matching job resources: a cross-sectional survey study among health care workers.

PubMed

de Jonge, Jan; Le Blanc, Pascale M; Peeters, Maria C W; Noordam, Hanneke

2008-10-01

Research on emotional labour in health care work has not yet revealed under what conditions emotional job demands have an impact on employee health and well-being. There is a need for more theory to unveil the black box of emotional labour processes. To test the moderating role of matching (i.e. emotional) and non-matching (i.e. cognitive) job resources in the relation between emotional job demands and employee health/well-being (i.e. emotional exhaustion, employee creativity, and work motivation). A cross-sectional survey with anonymous questionnaires was conducted. A large organization for residential elderly care with eight locations in an urban area in the Netherlands. Questionnaires were distributed to 1259 health care workers, of which 826 people returned the questionnaire (66% response rate). In addition to descriptive statistics, multivariate multiple regression analysis (LISREL 8.54) with cross-validation was conducted. Findings showed that emotional job resources moderated the relation between emotional job demands and health/well-being outcomes. Firstly, emotional job resources were able to moderate the relation between emotional job demands and emotional exhaustion. Secondly, both emotional job resources and, to a lesser extent, cognitive job resources were able to moderate the relation between emotional job demands and positive well-being outcomes (i.e. employee creativity and work motivation). Finally, cross-validation showed that parameter estimates did not vary across subsamples. Job resources could compensate for resources lost through meeting the requirements of emotional job demands, thereby reducing stress-reactions and increasing well-being. Providing health care workers with more, preferably matching, job resources could make emotional job demands less stressful, and even stimulating and challenging. Future longitudinal studies should investigate the interplay of emotional job demands and (matching) job resources more profoundly.

Reconciliation or Racialization? Contemporary Discourses about Residential Schools in the Canadian Prairies

ERIC Educational Resources Information Center

Gebhard, Amanda

2017-01-01

The residential school system is one of the darkest examples of Canada's colonial policy. Education about the residential schools is believed to be the path to reconciliation; that is, the restoration of equality between Aboriginal and non-Aboriginal peoples in Canada. While the acquisition of the long-ignored history of residential schools has…

Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India

DOE Office of Scientific and Technical Information (OSTI.GOV)

McNeil, Michael A.; Iyer, Maithili

The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptivemore » frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.« less

Which resources moderate the effects of demanding work schedules on nurses working in residential elder care? A longitudinal study.

PubMed

Peters, Velibor; Houkes, Inge; de Rijk, Angelique E; Bohle, Philip L; Engels, Josephine A; Nijhuis, Frans J N

2016-06-01

Shiftwork is a major job demand for nurses and has been related to various negative consequences. Research suggests that personal and job resources moderate the impact of work schedules on stress, health and well-being. This longitudinal study examined whether the interactions of personal and job resources with work schedule demands predicted work engagement and emotional exhaustion in nursing. This longitudinal study included two waves of data collection with a one year follow-up using self-report questionnaires among 247 nurses working shifts or irregular working hours in residential care for the elderly in the Netherlands. Moderated structural equation modelling was conducted to examine the interactions between personal and job resources and work schedule demands. Two work schedule demands were assessed: type of work schedule (demanding vs. less demanding) and average weekly working hours. Two personal resources, active coping and healthy lifestyle, and two job resources, work schedule control and the work schedule fit with nurses' private life, were assessed. Results showed that the work schedule fit with nurses' private life buffered the relationship between work schedule demands and emotional exhaustion one year later. Furthermore, the work schedule fit with nurses' private life increased work engagement one year later when work schedule demands were high. Work schedule control strengthened the positive relationship between work schedule demands and emotional exhaustion one year later. The personal resources, active coping and healthy lifestyle were no moderators in this model. Nurses suffer less from decreasing work engagement and emotional exhaustion due to work schedule demands when their work schedules fit with their private lives. Work schedule control did not buffer, but strengthened the positive relationship between weekly working hours and emotional exhaustion one year later. Job resources appeared to be more important for nurses' well-being than personal resources. These findings highlight the importance of the fit of a work schedule with nurse's private life, if the work schedule is demanding. Copyright © 2016. Published by Elsevier Ltd.

Residential therapeutic communities in the mainstream: diversity and issues.

PubMed

De Leon, G

1995-01-01

Not all residential drug abuse treatment programs are therapeutic communities (TCs), not all TCs are in residential settings, and not all programs that call themselves TCs employ the same social and psychological models of treatment. The term "therapeutic community" is widely used to represent a distinct approach in almost any setting, including community residences, hospital wards, prisons, and homeless shelters. One effect of this labeling has been to cloud understanding of the TC as a drug abuse treatment approach, how well it works, where it works best, and for which clients it is most appropriate. This article attempts to further a general understanding of residential TCs. Distinctions are drawn between residential drug abuse treatment and residential TCs. The diversity of programs within the TC modality is described in terms of modifications of the model and applications to special populations; and the essential elements of the TC program model are briefly outlined. Finally, movement into the mainstream has surfaced issues for the TC in terms of policy and practice, several of which are highlighted.

WDM-PON Architecture for FTTx Networks

NASA Astrophysics Data System (ADS)

Iannone, E.; Franco, P.; Santoni, S.

Broadband services for residential users in European countries have until now largely relied on xDSL technologies, while FTTx technologies have been mainly exploited in Asia and North America. The increasing bandwidth demand and the growing penetration of new services are pushing the deployment of optical access networks, and major European operators are now announcing FTTx projects. While FTTH is recognized as the target solution to bring broadband services to residential users, the identification of an FTTx evolutionary path able to seamlessly migrate to FTTH is key to enabling a massive deployment, easing the huge investments needed. WDM-PON architecture is an interesting solution that is able to accommodate the strategic need of building a new fiber-based access infrastructure with the possibility of adapting investments to actual demands and evolving to FTTH without requiring further interventions on fiber infrastructures.

Optimal load scheduling in commercial and residential microgrids

NASA Astrophysics Data System (ADS)

Ganji Tanha, Mohammad Mahdi

Residential and commercial electricity customers use more than two third of the total energy consumed in the United States, representing a significant resource of demand response. Price-based demand response, which is in response to changes in electricity prices, represents the adjustments in load through optimal load scheduling (OLS). In this study, an efficient model for OLS is developed for residential and commercial microgrids which include aggregated loads in single-units and communal loads. Single unit loads which include fixed, adjustable and shiftable loads are controllable by the unit occupants. Communal loads which include pool pumps, elevators and central heating/cooling systems are shared among the units. In order to optimally schedule residential and commercial loads, a community-based optimal load scheduling (CBOLS) is proposed in this thesis. The CBOLS schedule considers hourly market prices, occupants' comfort level, and microgrid operation constraints. The CBOLS' objective in residential and commercial microgrids is the constrained minimization of the total cost of supplying the aggregator load, defined as the microgrid load minus the microgrid generation. This problem is represented by a large-scale mixed-integer optimization for supplying single-unit and communal loads. The Lagrangian relaxation methodology is used to relax the linking communal load constraint and decompose the independent single-unit functions into subproblems which can be solved in parallel. The optimal solution is acceptable if the aggregator load limit and the duality gap are within the bounds. If any of the proposed criteria is not satisfied, the Lagrangian multiplier will be updated and a new optimal load schedule will be regenerated until both constraints are satisfied. The proposed method is applied to several case studies and the results are presented for the Galvin Center load on the 16th floor of the IIT Tower in Chicago.

Residential Consumption Scheduling Based on Dynamic User Profiling

NASA Astrophysics Data System (ADS)

Mangiatordi, Federica; Pallotti, Emiliano; Del Vecchio, Paolo; Capodiferro, Licia

Deployment of household appliances and of electric vehicles raises the electricity demand in the residential areas and the impact of the building's electrical power. The variations of electricity consumption across the day, may affect both the design of the electrical generation facilities and the electricity bill, mainly when a dynamic pricing is applied. This paper focuses on an energy management system able to control the day-ahead electricity demand in a residential area, taking into account both the variability of the energy production costs and the profiling of the users. The user's behavior is dynamically profiled on the basis of the tasks performed during the previous days and of the tasks foreseen for the current day. Depending on the size and on the flexibility in time of the user tasks, home inhabitants are grouped in, one over N, energy profiles, using a k-means algorithm. For a fixed energy generation cost, each energy profile is associated to a different hourly energy cost. The goal is to identify any bad user profile and to make it pay a highest bill. A bad profile example is when a user applies a lot of consumption tasks and low flexibility in task reallocation time. The proposed energy management system automatically schedules the tasks, solving a multi-objective optimization problem based on an MPSO strategy. The goals, when identifying bad users profiles, are to reduce the peak to average ratio in energy demand, and to minimize the energy costs, promoting virtuous behaviors.

Phase change wallboard for peak demand reduction

DOE Office of Scientific and Technical Information (OSTI.GOV)

George, K.L.; Shepard, M.

1993-12-31

After more than a decade of research in university and government laboratories, wallboard impregnated with a phase change material (PCM) appears to be close to commercialization, and could prove to be a powerful peak demand management tool for utilities, particularly in the residential sector. As a lightweight, easily installed thermal storage medium, PCM wallboard could be suitable for both new construction and retrofit applications. Computer simulations performed at Los Alamos National Laboratory (LANL) predicted that PCM wallboard could shift more than 90 percent of the sensible load of a residential air-conditioning system to off-peak periods, and could permit a 30more » percent reduction in equipment capacity. Residential winter peak loads could also be reduced. An Oak Ridge National Laboratory (ORNL) simulation showed that PCM wallboard could reduce peak heating demand by a third in a Tennessee climate. With more than 70 billion square feet of plasterboard produced annually in the US, widespread adoption of PCM wallboard could have a significant impact on peak load, while moderating temperature swings and enhancing comfort in homes and perhaps commercial spaces as well. Energy savings are also possible when PCM wallboard is used to take advantage of solar gain. LANL simulations predict 28 percent heating energy savings in a Boston passive solar house, and 54 percent savings in Denver. ORNL researchers support these findings -- they calculate that moving windows to the south and adding PCM wallboard could save from one-third to one-half of the heating energy needed in a Denver home.« less

Developing estimates of potential demand for renewable wood energy products in Alaska

Treesearch

Allen M. Brackley; Valerie A. Barber; Cassie Pinkel

2010-01-01

Goal three of the current U.S. Department of Agriculture, Forest Service strategy for improving the use of woody biomass is to help develop and expand markets for woody biomass products. This report is concerned with the existing volumes of renewable wood energy products (RWEP) that are currently used in Alaska and the potential demand for RWEP for residential and...

Tracking the Sun IX: The Installed Price of Residential and Non-Residential Photovoltaic Systems in the United States

DOE Office of Scientific and Technical Information (OSTI.GOV)

Barbose, Galen; Darghouth, Naïm; Millstein, Dev

Now in its ninth edition, Lawrence Berkeley National Laboratory (LBNL)’s Tracking the Sun report series is dedicated to summarizing trends in the installed price of grid-connected solar photovoltaic (PV) systems in the United States. The present report focuses on residential and non-residential systems installed through year-end 2015, with preliminary trends for the first half of 2016. An accompanying LBNL report, Utility-Scale Solar, addresses trends in the utility-scale sector. This year’s report incorporates a number of important changes and enhancements from prior editions. Among those changes, LBNL has made available a public data file containing all non-confidential project-level data underlying themore » analysis in this report. Installed pricing trends presented within this report derive primarily from project-level data reported to state agencies and utilities that administer PV incentive programs, solar renewable energy credit (SREC) registration systems, or interconnection processes. Refer to the text box to the right for several key notes about these data. In total, data were collected and cleaned for more than 820,000 individual PV systems, representing 85% of U.S. residential and non-residential PV systems installed cumulatively through 2015 and 82% of systems installed in 2015. The analysis in this report is based on a subset of this sample, consisting of roughly 450,000 systems with available installed price data.« less

Classification of basic facilities for high-rise residential: A survey from 100 housing scheme in Kajang area

NASA Astrophysics Data System (ADS)

Ani, Adi Irfan Che; Sairi, Ahmad; Tawil, Norngainy Mohd; Wahab, Siti Rashidah Hanum Abd; Razak, Muhd Zulhanif Abd

2016-08-01

High demand for housing and limited land in town area has increasing the provision of high-rise residential scheme. This type of housing has different owners but share the same land lot and common facilities. Thus, maintenance works of the buildings and common facilities must be well organized. The purpose of this paper is to identify and classify basic facilities for high-rise residential building hoping to improve the management of the scheme. The method adopted is a survey on 100 high-rise residential schemes that ranged from affordable housing to high cost housing by using a snowball sampling. The scope of this research is within Kajang area, which is rapidly developed with high-rise housing. The objective of the survey is to list out all facilities in every sample of the schemes. The result confirmed that pre-determined 11 classifications hold true and can provide the realistic classification for high-rise residential scheme. This paper proposed for redefinition of facilities provided to create a better management system and give a clear definition on the type of high-rise residential based on its facilities.

Technical support documentation for the Automated Residential Energy Standard (ARES) in support of proposed interim energy conservation voluntary performance standards for new non-federal residential buildings: Volume 2

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

The Automated Residential Energy Standard (ARES) program is designed to identify levels of thermal integrity (e.g., insulation levels, glazing layers, equipment efficiencies, etc.) that are cost effective for typical residential structures and to create a residential energy standard based on these levels. This document contains technical background the explains the data and the algorithms used by the program.

Occupational injury and work organization among immigrant Latino residential construction workers.

PubMed

Grzywacz, Joseph G; Quandt, Sara A; Marín, Antonio; Summers, Phillip; Lang, Wei; Mills, Thomas; Evia, Carlos; Rushing, Julia; Donadio, Katherine; Arcury, Thomas A

2012-08-01

Rates of occupational injury among immigrant workers are widely believed to be underestimated. The goal of this study was to enhance understanding of the burden of occupational injury and the work organization factors underlying injury among immigrant Latino residential construction workers. Prospective data were obtained from a community-based sample of Latino residential construction workers (N = 107) over a 3-month period. Twenty-eight participants were injured, resulting in an injury incidence rate of 55.0/100 FTE (95% CI = 41.4-71.6) during the 3-month observation period. The injury rate involving days away from work during the observation period was 3.9/100 FTE (CI = 0.2-7.2). Injuries were elevated among roofers relative to framers and general construction workers. Roofers had elevated exposure to a variety of deleterious work organization factors. Although imprecise given the small sample, our results suggest a threefold to fourfold underestimate of the injury burden to immigrant Latino construction workers. Work organization may contribute to elevated rates of non-fatal occupational injury, particularly among roofers. Copyright © 2012 Wiley Periodicals, Inc.

Multi-Contextual Segregation and Environmental Justice Research: Toward Fine-Scale Spatiotemporal Approaches.

PubMed

Park, Yoo Min; Kwan, Mei-Po

2017-10-10

Many environmental justice studies have sought to examine the effect of residential segregation on unequal exposure to environmental factors among different social groups, but little is known about how segregation in non-residential contexts affects such disparity. Based on a review of the relevant literature, this paper discusses the limitations of traditional residence-based approaches in examining the association between socioeconomic or racial/ethnic segregation and unequal environmental exposure in environmental justice research. It emphasizes that future research needs to go beyond residential segregation by considering the full spectrum of segregation experienced by people in various geographic and temporal contexts of everyday life. Along with this comprehensive understanding of segregation, the paper also highlights the importance of assessing environmental exposure at a high spatiotemporal resolution in environmental justice research. The successful integration of a comprehensive concept of segregation, high-resolution data and fine-grained spatiotemporal approaches to assessing segregation and environmental exposure would provide more nuanced and robust findings on the associations between segregation and disparities in environmental exposure and their health impacts. Moreover, it would also contribute to significantly expanding the scope of environmental justice research.

Photovoltaic-system evaluation at the Northeast Residential Experiment Station

NASA Astrophysics Data System (ADS)

Russell, M. C.

1983-01-01

Five residential photovoltaic systems were tested and the systems' performance and cost was evaluated. The five systems each consist of an unoccupied structure employing a roof mounted photovoltaic array and a utility connected power inverter capable of sending excess PV generated energy to the local utility system. The photovoltaic systems are designed to meet at least 50% of the total annual electrical demand of residences in the cold climate regions of the country. The following specific issues were investigated: photovoltaic array and inverter system power rating and performance characterization, system energy production, reliability and system cost/worth. Summary load data from five houses in the vicinity of the Northeast Residential Experiment Station, and meteorological data from the station's weather station are also presented.

Flexible LNG supply, storage and price formation in a global natural gas market

NASA Astrophysics Data System (ADS)

Hayes, Mark Hanley

The body of work included in this dissertation explores the interaction of the growing, flexible liquefied natural gas (LNG) trade with the fundamentals of pipeline gas supply, gas storage, and gas consumption. By nature of its uses---largely for residential heating and electric power generation---the consumption of natural gas is highly variable both seasonally and on less predictable daily and weekly timescales. Flexible LNG trade will interconnect previously isolated regional gas markets, each with non-correlated variability in gas demand, differing gas storage costs, and heterogeneous institutional structures. The dissertation employs a series of analytical models to address key issues that will affect the expansion of the LNG trade and the implications for gas prices, investment and energy policy. First, I employ an optimization model to evaluate the fundamentals of seasonal LNG swing between markets with non-correlated gas demand (the U.S. and Europe). The model provides insights about the interaction of LNG trade with gas storage and price formation in interconnected regional markets. I then explore how random (stochastic) variability in gas demand will drive spot cargo movements and covariation in regional gas prices. Finally, I analyze the different institutional structures of the gas markets in the U.S. and Europe and consider how managed gas markets in Europe---without a competitive wholesale gas market---may effectively "export" supply and price volatility to countries with more competitive gas markets, such as the U.S.

An evaluation of the impact of state Renewable Portfolio Standards (RPS) on retail, commercial, and industrial electricity prices

NASA Astrophysics Data System (ADS)

Puram, Rakesh

The Renewable Portfolio Standard (RPS) has become a popular mechanism for states to promote renewable energy and its popularity has spurred a potential bill within Congress for a nationwide Federal RPS. While RPS benefits have been touted by several groups, it also has detractors. Among the concerns is that RPS standards could raise electricity rates, given that renewable energy is costlier than traditional fossil fuels. The evidence on the impact of RPS on electricity prices is murky at best: Complex models by NREL and USEIA utilize computer programs with several assumptions which make empirical studies difficult and only predict slight increases in electricity rates associated with RPS standards. Recent theoretical models and empirical studies have found price increases, but often fail to comprehensively include several sets of variables, which in fact could confound results. Utilizing a combination of past papers and studies to triangulate variables this study aims to develop both a rigorous fixed effects regression model as well as a theoretical framework to explain the results. This study analyzes state level panel data from 2002 to 2008 to analyze the effect of RPS on residential, commercial, and industrial electricity prices, controlling for several factors including amount of electricity generation from renewable and non-renewable sources, customer incentives for renewable energy, macroeconomic and demographic indicators, and fuel price mix. The study contrasts several regressions to illustrate important relationships and how inclusions as well as exclusion of various variables have an effect on electricity rates. Regression results indicate that the presence of RPS within a state increases the commercial and residential electricity rates, but have no discernable effect on the industrial electricity rate. Although RPS tends to increase electricity prices, the effect has a small impact on higher electricity prices. The models also indicate that jointly all renewable energy generation as well as non-renewable energy generation have an impact on residential, industrial, and commercial price. In addition coal price, personal income, and the number of net metering customers in a state impact commercial, industrial and residential electricity rates. There are two main policy implications that stem from this study. First is that while RPS has an impact on residential and commercial electricity rates, the magnitude is small, especially given the average consumption patterns of households and commercial customers. The second policy implication is that it is that given the significance of several explanatory variables in the theoretical model it is important to discuss the relevance of RPS within the context of electricity sources, both renewable and non-renewable, demand side programs, economic factors, as well as fuel costs.

Power through Testimony: Reframing Residential Schools in the Age of Reconciliation

ERIC Educational Resources Information Center

Capitaine, Brieg, Ed.; Vanthuyne, Karine, Ed.

2017-01-01

"Power through Testimony" documents how survivors are remembering and reframing our understanding of residential schools in the wake of the 2007 Indian Residential Schools Settlement Agreement and the Truth and Reconciliation Commission (TRC), a forum for survivors, families, and communities to share their memories and stories with the…

NON-RESIDENTIAL ORGANOPHOSPHOROUS PESTICIDE USE AS A PREDICTOR OF CHILDREN'S URINARY METABOLITE LEVELS

EPA Science Inventory

NON-RESIDENTIAL ORGANOPHOSPHORUS PESTICIDE USE AS A PREDICTOR OF CHILDREN'S URINARY METABOLITE LEVELS.
Julie A. Baker, Pauline Mendola, Dana Barr, Debra Walsh, John Creason, and Larry Needham. (University at Buffalo, US Environmental Protection Agency, and Centers for Disease ...

Potential reduction of non-residential solid waste in Sukomanunggal district West Surabaya

NASA Astrophysics Data System (ADS)

Warmadewanthi, I. D. A. A.; Reswari, S. A.

2018-01-01

Sukomanunggal district a development unit 8 with the designation as a regional trade and services, industrial, education, healthcare, offices, and shopping center. The development of this region will make an increasing solid waste generation, especially waste from non-residential facilities. The aims of this research to know the potential reduction of waste source. The method used is the Likert scale questionnaire to determine the knowledge, attitude, and behavior of non-residential facilities manager. Results from this research are the existing reduction of non-residential solid waste is 5.34%, potential reduction of the waste source is optimization of plastic and paper waste with the reduction rate up to 19,52%. The level of public participation existing amounted to 46.79% with a willingness to increase recycling efforts amounted to 72.87%. Efforts that can be developed to increase public awareness of 3R are providing three types of bins, modification of solid waste collection schedule according to a type of waste that has been sorted, the provision of the communal bin.

The physical health of Indigenous and non-Indigenous patients participating in residential rehabilitation programs: a comparison study.

PubMed

Meehan, Tom; Jones, Donna; Stedman, Terry; Johnson, Dean; Suetani, Shuichi; Foreman, Emma

2017-04-01

To examine the differences in the physical health of Indigenous and non-Indigenous patients with severe mental illness (SMI) undergoing psychiatric rehabilitation. An audit of the physical health of patients ( n = 361) in all publicly funded residential rehabilitation programs in Queensland was carried out in late 2014. Data collection focused on clinical and lifestyle factors associated with physical health. The prevalence of smoking, substance use and type 2 diabetes in Indigenous patients was significantly higher than rates found in non-Indigenous patients. Metabolic syndrome was also significantly higher in indigenous patients, with 66% of Indigenous patients compared to 46% of non-Indigenous patients meeting criteria for metabolic syndrome. Patients with SMI in residential rehabilitation programs have poor physical health. Our findings underscore the need for clinicians to develop and evaluate interventions aimed at improving the metabolic profile of those with SMI in residential rehabilitation programs. Historical factors and cultural traditions need to be considered when designing lifestyle interventions for Indigenous patients.

C-DEBI Community College Research Internship for Scientific Engagement: Effective Practices in Running a Non-Residential Research Program

NASA Astrophysics Data System (ADS)

Schroeder, S.

2016-02-01

The Center For Dark Energy Biosphere Investigations (C-DEBI), an NSF Science and Technology Center, is located in the heart of Los Angeles, surrounded by nineteen community colleges. C-DEBI recognizes the community college student as an untapped STEM resource and piloted the Community College Research Internship for Scientific Engagement (CC-RISE) in 2013. A non-residential, research-focused summer internship, the successful program expanded to UC-Santa Cruz and the Marine Biological Laboratory in 2014 and 2015, respectively. A non-residential research program gives students who are often first generation or non-traditional a stepping stone to experience the research environment while reducing transfer shock. Formal evaluation of CC-RISE indicates that in addition to providing an immersive research experience for community college students, the key components to running a successful non-residential program include weekly informal meetings to allow the students to create a cohort, as well as program aspects dedicated to professional development topics such as the transfer process and using resources at 4-year institutions to maximize success.

Investigating the effect of banning non-reduced ignition propensity cigarettes on fatal residential fires in Sweden.

PubMed

Bonander, Carl M; Jonsson, Anders P; Nilson, Finn T

2016-04-01

Annually, 100 people die as a result of residential fires in Sweden and almost a third of the fatal fires are known to be caused by smoking. In an attempt to reduce the occurrence of these events, reduced ignition propensity (RIP) cigarettes have been developed. They are designed to reduce the risk of fire by preventing the cigarette from burning through the full length when left unattended. In November 2011, a ban was introduced, forbidding the production and sale of all non-RIP cigarettes in all member states of the European Union, including Sweden. Monthly data on all recorded residential fires and associated fatalities in Sweden from January 2000 to December 2013 were analyzed using an interrupted time series design. The effect of the intervention [in relative risk (RR)] was quantified using generalised additive models for location, shape and scale. There were no statistically significant intervention effects on residential fires (RR 0.95 [95% CI: 0.89-1.01]), fatal residential fires (RR 0.99 [95% CI: 0.80-1.23]), residential fires where smoking was a known cause (RR 1.10 [95% CI: 0.95-1.28]) or fatal residential fires where smoking was a known cause (RR 0.92 [95% CI: 0.63-1.35]). No evidence of an effect of the ban on all non-RIP cigarettes on the risk of residential fires in Sweden was found. The results may not be generalisable to other countries. © The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Race and Residential Mobility: Individual Determinants and Structural Constraints.

ERIC Educational Resources Information Center

South, Scott J.; Deane, Glenn D.

1993-01-01

In 1979-80, residential mobility was lower among African Americans than non-African Americans after adjusting for differences in home ownership and sociodemographic characteristics. Both African-American and non-African-American mobility were influenced by life-cycle factors, housing characteristics, and metropolitan features, but African-American…

Re-thinking residential mobility

PubMed Central

van Ham, Maarten; Findlay, Allan M.

2015-01-01

While researchers are increasingly re-conceptualizing international migration, far less attention has been devoted to re-thinking short-distance residential mobility and immobility. In this paper we harness the life course approach to propose a new conceptual framework for residential mobility research. We contend that residential mobility and immobility should be re-conceptualized as relational practices that link lives through time and space while connecting people to structural conditions. Re-thinking and re-assessing residential mobility by exploiting new developments in longitudinal analysis will allow geographers to understand, critique and address pressing societal challenges. PMID:27330243

The policy and politics of the 2015 long-term care reform in the Netherlands.

PubMed

Maarse, J A M Hans; Jeurissen, P P Patrick

2016-03-01

As of 2015 a major reform in LTC is taking place in the Netherlands. An important objective of the reform is to reign in expenditure growth to safeguard the fiscal sustainability of LTC. Other objectives are to improve the quality of LTC by making it more client-tailored. The reform consists of four interrelated pillars: a normative reorientation, a shift from residential to non-residential care, decentralization of non-residential care and expenditure cuts. The article gives a brief overview of these pillars and their underlying assumptions. Furthermore, attention is paid to the political decision-making process and the politics of implementation and evaluation. Perceptions of the effects of the reform so far widely differ: positive views alternate with critical views. Though the reform is radical in various aspects, LTC care will remain a largely publicly funded provision. A statutory health insurance scheme will remain in place to cover residential care. The role of municipalities in publicly funded non-residential care is significantly upgraded. The final section contains a few policy lessons. Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Quinceaneras and Quadratics: Experiences of Latinas in State-Supported Residential Schools of Science and Math

ERIC Educational Resources Information Center

Sayman, Donna M.

2013-01-01

This qualitative study sought to understand the experiences of Latinas enrolled in residential state schools of science, technology, engineering, and math (STEM). Goals of the study focused on understanding experiences and identifying factors such as decisions to enroll, barriers and supports, and issues contributing to retention. These schools…

The Dimensions of Residential Segregation.

ERIC Educational Resources Information Center

Massey, Douglas S.; Denton, Nancy A.

1988-01-01

Evaluates 20 potential indicators of residential segregation using census data on Hispanics, Blacks, Asians, and non-Hispanic Whites in 60 U.S. metropolitan areas. Factor-analyzes the results to select a single best indicator for each of five dimensions of residential segregation. Contains 69 references and 22 statistical formulas. (SV)

78 FR 32124 - Community Residential Care

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-29

... DEPARTMENT OF VETERANS AFFAIRS 38 CFR Part 17 RIN 2900-AO62 Community Residential Care AGENCY...) amends its regulations concerning approval of non-VA community residential care facilities to allow VA to... deficiencies in standards that cannot be corrected, and into more restrictive and/or costly care. In addition...

Comprehensive Engineering Approach to Achieving Safe Neighborhoods.

DOT National Transportation Integrated Search

2000-09-01

Steady increases in travel demand coupled with minimal increases in arterial street capacity have led to an increase in traffic-related safety problems in residential neighborhoods. These problems stem from the significant number of motorists that di...

Advanced Technology Display House. Volume 2: Energy system design concepts

NASA Technical Reports Server (NTRS)

Maund, D. H.

1981-01-01

The preliminary design concept for the energy systems in the Advanced Technology Display House is analyzed. Residential energy demand, energy conservation, and energy concepts are included. Photovoltaic arrays and REDOX (reduction oxidation) sizes are discussed.

Determinants of Household Water Conservation Retrofit Activity: A Discrete Choice Model Using Survey Data

NASA Astrophysics Data System (ADS)

Cameron, T. A.; Wright, M. B.

1990-02-01

Economic analyses of residential water demand have typically concentrated on price and income elasticities. In the short run a substantial change in water prices might induce only small changes in consumption levels. As time passes, however, households will have the opportunity to "retrofit" existing water-using equipment to make it less water-intensive. This produces medium- to long-run demand elasticities that are higher than short-run studies suggest. We examine responses to water conservation questions appearing on the Los Angeles Department of Water and Power's 1983 residential energy survey. We find that households' decisions to install shower retrofit devices are influenced by the potential to save money on water heating bills. We attribute toilet retrofit decisions more to noneconomic factors which might be characterized as "general conservation mindedness." The endogeneity of these retrofit decisions casts some doubt on the results of studies of individual households that treat voluntary retrofits as exogenous.

Empirical Investigations of the Opportunity Limits of Automatic Residential Electric Load Shaping

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cruickshank, Robert F.; Henze, Gregor P.; Balaji, Rajagopalan

Residential electric load shaping is often modeled as infrequent, utility-initiated, short-duration deferral of peak demand through direct load control. In contrast, modeled herein is the potential for frequent, transactive, intraday, consumer-configurable load shaping for storage-capable thermostatically controlled electric loads (TCLs), including refrigerators, freezers, and hot water heaters. Unique to this study are 28 months of 15-minute-interval observations of usage in 101 homes in the Pacific Northwest United States that specify exact start, duration, and usage patterns of approximately 25 submetered loads per home. The magnitudes of the load shift from voluntarily-participating TCL appliances are aggregated to form hourly upper andmore » lower load-shaping limits for the coordination of electrical generation, transmission, distribution, storage, and demand. Empirical data are statistically analyzed to define metrics that help quantify load-shaping opportunities.« less

Empirical Investigations of the Opportunity Limits of Automatic Residential Electric Load Shaping: Preprint

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cruickshank, Robert F.; Henze, Gregor P.; Balaji, Rajagopalan

Residential electric load shaping is often modeled as infrequent, utility-initiated, short-duration deferral of peak demand through direct load control. In contrast, modeled herein is the potential for frequent, transactive, intraday, consumer-configurable load shaping for storage-capable thermostatically controlled electric loads (TCLs), including refrigerators, freezers, and hot water heaters. Unique to this study are 28 months of 15-minute-interval observations of usage in 101 homes in the Pacific Northwest United States that specify exact start, duration, and usage patterns of approximately 25 submetered loads per home. The magnitudes of the load shift from voluntarily-participating TCL appliances are aggregated to form hourly upper andmore » lower load-shaping limits for the coordination of electrical generation, transmission, distribution, storage, and demand. Empirical data are statistically analyzed to define metrics that help quantify load-shaping opportunities.« less

The Use of Artificial Neural Networks for Forecasting the Electric Demand of Stand-Alone Consumers

NASA Astrophysics Data System (ADS)

Ivanin, O. A.; Direktor, L. B.

2018-05-01

The problem of short-term forecasting of electric power demand of stand-alone consumers (small inhabited localities) situated outside centralized power supply areas is considered. The basic approaches to modeling the electric power demand depending on the forecasting time frame and the problems set, as well as the specific features of such modeling, are described. The advantages and disadvantages of the methods used for the short-term forecast of the electric demand are indicated, and difficulties involved in the solution of the problem are outlined. The basic principles of arranging artificial neural networks are set forth; it is also shown that the proposed method is preferable when the input information necessary for prediction is lacking or incomplete. The selection of the parameters that should be included into the list of the input data for modeling the electric power demand of residential areas using artificial neural networks is validated. The structure of a neural network is proposed for solving the problem of modeling the electric power demand of residential areas. The specific features of generation of the training dataset are outlined. The results of test modeling of daily electric demand curves for some settlements of Kamchatka and Yakutia based on known actual electric demand curves are provided. The reliability of the test modeling has been validated. A high value of the deviation of the modeled curve from the reference curve obtained in one of the four reference calculations is explained. The input data and the predicted power demand curves for the rural settlement of Kuokuiskii Nasleg are provided. The power demand curves were modeled for four characteristic days of the year, and they can be used in the future for designing a power supply system for the settlement. To enhance the accuracy of the method, a series of measures based on specific features of a neural network's functioning are proposed.

Racial residential segregation and risky sexual behavior among non-Hispanic blacks, 2006-2010.

PubMed

Lutfi, Khaleeq; Trepka, Mary Jo; Fennie, Kristopher P; Ibanez, Gladys; Gladwin, Hugh

2015-09-01

Sexually transmitted infections (STIs) including human immunodeficiency virus (HIV) have disproportionately affected the non-Hispanic black population in the United States. A person's community can affect his or her STI risk by the community's underlying prevalence of STIs, sexual networks, and social influences on individual behaviors. Racial residential segregation-the separation of racial groups in a residential context across physical environments-is a community factor that has been associated with negative health outcomes. The objective of this study was to examine if non-Hispanic blacks living in highly segregated areas were more likely to have risky sexual behavior. Demographic and sexual risk behavior data from non-Hispanic blacks aged 15-44 years participating in the National Survey of Family Growth were linked to Core-Based Statistical Area segregation data from the U.S. Census Bureau. Five dimensions measured racial residential segregation, each covering a different concept of spatial variation. Multilevel logistic regressions were performed to test the effect of each dimension on sexual risk behavior controlling for demographics and community poverty. Of the 3643 participants, 588 (14.5%) reported risky sexual behavior as defined as two or more partners in the last 12 months and no consistent condom use. Multilevel analysis results show that racial residential segregation was associated with risky sexual behavior with the association being stronger for the centralization [aOR (95% CI)][2.07 (2.05-2.08)] and concentration [2.05 (2.03-2.07)] dimensions. This suggests risky sexual behavior is more strongly associated with neighborhoods with high concentrations of non-Hispanic blacks and an accumulation of non-Hispanic blacks in an urban core. Findings suggest racial residential segregation is associated with risky sexual behavior in non-Hispanic blacks 15-44 years of age with magnitudes varying by dimension. Incorporating additional contextual factors may lead to the development of interventions that promote healthier behaviors and lower rates of HIV and other STIs. Copyright © 2015 Elsevier Ltd. All rights reserved.

12 CFR Appendix C to Subpart A of... - Concentration Measures

Code of Federal Regulations, 2013 CFR

2013-01-01

... residential mortgages and non-agency residential mortgage-backed securities (excludes CMOs, REMICS, CMO and REMIC residuals, and stripped MBS issued by non-U.S. Government issuers for which the collateral... These loss rates were converted into equivalent risk weights as shown in Table C.1. 16 The risk weights...

MODELED RESIDENTIAL CHLORPYRIFOS EXPOSURE AND DOSE TO CHILDREN VIA DERMAL SURFACE RESIDUE CONTACT AND NON-DIETARY INGESTION

EPA Science Inventory

A physically-based stochastic model has been applied to estimate residential chlorpyrifos exposure and dace to children via the non-dietary ingestion and dermal residue contact pathways. Time-location-activity data for 2825 children were sampled from national surveys to generat...

Residential energy demand models: Current status and future improvements

NASA Astrophysics Data System (ADS)

Peabody, G.

1980-12-01

Two models currently used to analyze energy use by the residential sector are described. The ORNL model is used to forecast energy use by fuel type for various end uses on a yearly basis. The MATH/CHRDS model analyzes variations in energy expenditures by households of various socioeconomic and demographic characteristics. The essential features of the ORNL and MATH/CHRDS models are retained in a proposed model and integrated into a framework that is more flexible than either model. The important determinants of energy use by households are reviewed.

Comparison of Four Probabilistic Models (CARES, Calendex, ConsEspo, SHEDS) to Estimate Aggregate Residential Exposures to Pesticides

EPA Science Inventory

Two deterministic models (US EPA’s Office of Pesticide Programs Residential Standard Operating Procedures (OPP Residential SOPs) and Draft Protocol for Measuring Children’s Non-Occupational Exposure to Pesticides by all Relevant Pathways (Draft Protocol)) and four probabilistic mo...

Use of a geographic information system to identify differences in automated external defibrillator installation in urban areas with similar incidence of public out-of-hospital cardiac arrest: a retrospective registry-based study

PubMed Central

Haas, Jan; Ban, Yifang; Jonsson, Martin; Svensson, Leif; Djarv, Therese; Hollenberg, Jacob; Nordberg, Per; Ringh, Mattias; Claesson, Andreas

2017-01-01

Objectives Early defibrillation in out-of-hospital cardiac arrest (OHCA) is of importance to improve survival. In many countries the number of automated external defibrillators (AEDs) is increasing, but the use is low. Guidelines suggest that AEDs should be installed in densely populated areas and in locations with many visitors. Attempts have been made to identify optimal AED locations based on the incidence of OHCA using geographical information systems (GIS), but often on small datasets and the studies are seldom reproduced. The aim of this paper is to investigate if the distribution of public AEDs follows the incident locations of public OHCAs in urban areas of Stockholm County, Sweden. Method OHCA data were obtained from the Swedish Register for Cardiopulmonary Resuscitation and AED data were obtained from the Swedish AED Register. Urban areas in Stockholm County were objectively classified according to the pan-European digital mapping tool, Urban Atlas (UA). Furthermore, we reclassified and divided the UA land cover data into three classes (residential, non-residential and other areas). GIS software was used to spatially join and relate public AED and OHCA data and perform computations on relations and distance. Results Between 1 January 2012 and 31 December 2014 a total of 804 OHCAs occurred in public locations in Stockholm County and by December 2013 there were 1828 AEDs available. The incidence of public OHCAs was similar in residential (47.3%) and non-residential areas (43.4%). Fewer AEDs were present in residential areas than in non-residential areas (29.4% vs 68.8%). In residential areas the median distance between OHCAs and AEDs was significantly greater than in non-residential areas (288 m vs 188 m, p<0.001). Conclusion The majority of public OHCAs occurred in areas classified in UA as ‘residential areas‘ with limited AED accessibility. These areas need to be targeted for AED installation and international guidelines need to take geographical location into account when suggesting locations for AED installation. PMID:28576894

BEopt-CA (Ex) -- A Tool for Optimal Integration of EE/DR/ES+PV in Existing California Homes. Cooperative Research and Development Final Report, CRADA Number CRD-11-429

DOE Office of Scientific and Technical Information (OSTI.GOV)

Christensen, Craig

Opportunities for combining energy efficiency, demand response, and energy storage with PV are often missed, because the required knowledge and expertise for these different technologies exist in separate organizations or individuals. Furthermore, there is a lack of quantitative tools to optimize energy efficiency, demand response and energy storage with PV, especially for existing buildings. Our goal is to develop a modeling tool, BEopt-CA (Ex), with capabilities to facilitate identification and implementation of a balanced integration of energy efficiency (EE), demand response (DR), and energy storage (ES) with photovoltaics (PV) within the residential retrofit market. To achieve this goal, we willmore » adapt and extend an existing tool -- BEopt -- that is designed to identify optimal combinations of efficiency and PV in new home designs. In addition, we will develop multifamily residential modeling capabilities for use in California, to facilitate integration of distributed solar power into the grid in order to maximize its value to California ratepayers. The project is follow-on research that leverages previous California Solar Initiative RD&D investment in the BEopt software. BEopt facilitates finding the least cost combination of energy efficiency and renewables to support integrated DSM (iDSM) and Zero Net Energy (ZNE) in California residential buildings. However, BEopt is currently focused on modeling single-family houses and does not include satisfactory capabilities for modeling multifamily homes. The project brings BEopt's existing modeling and optimization capabilities to multifamily buildings, including duplexes, triplexes, townhouses, flats, and low-rise apartment buildings.« less

China's water shortage could shake world food security.

PubMed

Brown, L R; Halweil, B

1998-01-01

This report indicates the global concern about China's water shortages and describes basin supplies, global availability of grain, and reasons for water losses. There is little precise data on how land productivity will be affected by declines in irrigation. Reports from the "China Daily" indicate that the 1995 grain harvest in Shandong province declined by 2.7 million tons (food for 9 million people) due to water failures of the Yellow River. A delegate at the 1998 National People's Congress pointed out that rural villages nationwide had shortages of 30 billion cu. m and losses of 20 million tons of grain production. About 70% of grain harvests rely on irrigation. Water demand for residential use and industrial use is likely to increase and compete with farm use. One unlikely option is to divert irrigation water to cities as needed and import grain. The entire agricultural, energy, and industrial economies need to be made more water efficient. Agriculture will need to produce more water efficient crops and livestock products and less water intensive energy supplies. Another alternative is to divert water from one location to another. Water pricing could reinforce efficiency of use. Use of composting toilets could reduce human residential water demand. Urban capacity building should rely on separate industrial and residential wastewater systems. Investing in technologies for industry can reduce water demand among paper and steel producers. The fastest growing grain market is in North Africa and the Middle East. Trends in principal grain exporting countries with 85% of global exports indicate no growth in grain production for export since 1980.

Evaluating Outdoor Water Use Demand under Changing Climatic and Demographic Conditions: An Agent-based Modeling Approach

NASA Astrophysics Data System (ADS)

Kanta, L.

2016-12-01

Outdoor water use for landscape and irrigation constitutes a significant end use in residential water demand. In periods of water shortages, utilities may reduce garden demands by implementing irrigation system audits, rebate programs, local ordinances, and voluntary or mandatory water use restrictions. Because utilities do not typically record outdoor and indoor water uses separately, the effects of policies for reducing garden demands cannot be readily calculated. The volume of water required to meet garden demands depends on the housing density or lawn size, type of vegetation, climatic conditions, efficiency of garden irrigation systems, and consumer water-use behaviors. Many existing outdoor demand estimation methods are deterministic and do not include consumer responses to conservation campaigns. In addition, mandatory restrictions may have a substantial impact on reducing outdoor demands, but the effectiveness of mandatory restrictions depends on the timing and the frequency of restrictions, in addition to the distribution of housing density and consumer types within a community. This research investigates a garden end-use model by coupling an agent-based modeling approach and a mechanistic-stochastic water demand model to create a methodology for estimating garden demand and evaluating demand reduction policies. The garden demand model is developed for two water utilities, using a diverse data sets, including residential customer billing records, records of outdoor conservation programs, frequency and type of mandatory water use restrictions, lot size distribution, population growth, and climatic data. A set of garden irrigation parameter values, which are based on the efficiency of irrigation systems and irrigation habits of consumers, are determined for a set of conservation ordinances and restrictions. The model parameters are then validated using customer water usage data from the participating water utilities. A sensitivity analysis is conducted for garden irrigation parameters to determine the most significant factors that should be considered by water utilities to reduce outdoor demand. Data from multiple sources and the agent-based modeling methodology are integrated using a holistic approach to assist utilities in efficiently and sustainably managing outdoor demand.

Evaluating Outdoor Water Use Demand under Changing Climatic and Demographic Conditions: An Agent-based Modeling Approach

NASA Astrophysics Data System (ADS)

Kanta, L.; Berglund, E. Z.; Soh, M. H.

2017-12-01

Outdoor water-use for landscape and irrigation constitutes a significant end-use in total residential water demand. In periods of water shortages, utilities may reduce garden demands by implementing irrigation system audits, rebate programs, local ordinances, and voluntary or mandatory water-use restrictions. Because utilities do not typically record outdoor and indoor water-uses separately, the effects of policies for reducing garden demands cannot be readily calculated. The volume of water required to meet garden demands depends on the housing density, lawn size, type of vegetation, climatic conditions, efficiency of garden irrigation systems, and consumer water-use behaviors. Many existing outdoor demand estimation methods are deterministic and do not include consumer responses to conservation campaigns. In addition, mandatory restrictions may have a substantial impact on reducing outdoor demands, but the effectiveness of mandatory restrictions depends on the timing and the frequency of restrictions, in addition to the distribution of housing density and consumer types within a community. This research investigates a garden end-use model by coupling an agent-based modeling approach and a mechanistic-stochastic water demand model to create a methodology for estimating garden demand and evaluating demand reduction policies. The garden demand model is developed for two water utilities, using a diverse data sets, including residential customer billing records, outdoor conservation programs, frequency and type of mandatory water-use restrictions, lot size distribution, population growth, and climatic data. A set of garden irrigation parameter values, which are based on the efficiency of irrigation systems and irrigation habits of consumers, are determined for a set of conservation ordinances and restrictions. The model parameters are then validated using customer water usage data from the participating water utilities. A sensitivity analysis is conducted for garden irrigation parameters to determine the most significant factors that should be considered by water utilities to reduce outdoor demand. Data from multiple sources and the agent-based modeling methodology are integrated using a holistic approach to assist utilities in efficiently and sustainably managing outdoor demand.

Influence of Distributed Residential Energy Storage on Voltage in Rural Distribution Network and Capacity Configuration

NASA Astrophysics Data System (ADS)

Liu, Lu; Tong, Yibin; Zhao, Zhigang; Zhang, Xuefen

2018-03-01

Large-scale access of distributed residential photovoltaic (PV) in rural areas has solved the voltage problem to a certain extent. However, due to the intermittency of PV and the particularity of rural residents’ power load, the problem of low voltage in the evening peak remains to be resolved. This paper proposes to solve the problem by accessing residential energy storage. Firstly, the influence of access location and capacity of energy storage on voltage distribution in rural distribution network is analyzed. Secondly, the relation between the storage capacity and load capacity is deduced for four typical load and energy storage cases when the voltage deviation meets the demand. Finally, the optimal storage position and capacity are obtained by using PSO and power flow simulation.

Hydrologic data for urban storm runoff from three localities in the Denver metropolitan area, Colorado

USGS Publications Warehouse

Ellis, Sherman R.

1978-01-01

Urban storm-runoff data, collected from 1975 to 1977, on three catchment areas in the Denver, Colo., metropolitan area are presented. The catchment are predominantly a single-family residential catchment area in Littleton, a multifamily residential and commercial catchment area in Lakewood, and a high-density residential and commercial catchment area in Denver. Precipitation, rainfall-runoff, snowmelt-runoff, water-quality (common constituents, nutrients, biochemical oxygen demand, coliform bacteria, and solids, trace elements, and pesticides), and catchment-area data are necessary to use the U.S. Environmental Protection Agency 's Storm Water Management Model II. The urban storm-runoff data may be used by planning, water-management, and environmental-protection agencies to assess the impact of urban storm runoff on the hydrologic system. (Woodard-USGS)

Job-housing imbalance and commuting of coastal industrial town in Liaoning province, China

NASA Astrophysics Data System (ADS)

Chen, Fei; Lu, Wei; Cai, Jun; Yang, Qiyao

2017-11-01

During the Twelve Five period, China promulgated industrial policies promote the energy-intensive industries relocate to coastal areas in order to utilize marine shipping resources. Consequently, some major state-owned steel and petrochemical enterprises have relocated and resulted in a large scale coastal area development. Restricted by the port construction, most of the coastal industrial areas are located in the outer suburbs. To balance between employment and housing, new industrial coastal towns were constructed. In this paper, we adopt a case-study approach to analysis some typical industrial coastal towns of Liaoning Province situated in the Bohai Bay, which is currently under rapid economic growth. Our investigations reflect the common phenomenon of long distance commuting and massive amount of vacant residences. More specifically, large plant relocation caused hundreds of kilometers of daily commute and enterprises had to provide housing subsidies and education incentives to motivate employees to relocate to coastal areas. Nonetheless, many employees still refuse to relocate due to job stability, diverse needs of family members and access to convenient services. These employees averaged 4 hours of commute daily and some who lived further had to reside in temporary industrial housing units and subject to long-term family separation. As a result, only a small portion of employees purchase new coastal residences but mostly for investment and retirement purposes, leading to massive vacancy and ghost-town phenomenon. In contrast to the low demand, coastal areas tend to develop large amount of residences prior to industrial relocation, which may be directly related to local government finances. Some local governments have sold residential land to developers to general revenue to support the subsequent industrial development. Subject to the strong preference of ocean- view, residential housing developers tend to select coast-line land to construct new residential towns, which further reduces the access of marine resources for major industrial enterprises. This violates the original intent of developing industrial coastal towns and drastically limits the availability of marine resources. Lastly, we analyze the co-existence of over-exploiting residential areas and massive vacancies in reference to the demand and supply of land, as well as the demand of residential housing units with the choice criteria of enterprise employees.

Flood Insurance in Canada: Implications for Flood Management and Residential Vulnerability to Flood Hazards

NASA Astrophysics Data System (ADS)

Oulahen, Greg

2015-03-01

Insurance coverage of damage caused by overland flooding is currently not available to Canadian homeowners. As flood disaster losses and water damage claims both trend upward, insurers in Canada are considering offering residential flood coverage in order to properly underwrite the risk and extend their business. If private flood insurance is introduced in Canada, it will have implications for the current regime of public flood management and for residential vulnerability to flood hazards. This paper engages many of the competing issues surrounding the privatization of flood risk by addressing questions about whether flood insurance can be an effective tool in limiting exposure to the hazard and how it would exacerbate already unequal vulnerability. A case study investigates willingness to pay for flood insurance among residents in Metro Vancouver and how attitudes about insurance relate to other factors that determine residential vulnerability to flood hazards. Findings indicate that demand for flood insurance is part of a complex, dialectical set of determinants of vulnerability.

Aquifer thermal-energy-storage costs with a seasonal-chill source

NASA Astrophysics Data System (ADS)

Brown, D. R.

1983-01-01

The cost of energy supplied by an aquifer thermal energy storage (ATES) ystem from a seasonal chill source was investigated. Costs were estimated for point demand and residential development ATES systems using the computer code AQUASTOR. AQUASTOR was developed at PNL specifically for the economic analysis of ATES systems. In this analysis the cost effect of varying a wide range of technical and economic parameters was examined. Those parameters exhibiting a substantial influence on the costs of ATES delivered chill were: system size; well flow rate; transmission distance; source temperature; well depth; and cost of capital. The effects of each parameter are discussed. Two primary constraints of ATES chill systems are the extremely low energy density of the storage fluid and the prohibitive costs of lengthly pipelines for delivering chill to residential users. This economic analysis concludes that ATES-delivered chill will not be competitive for residential cooling applications. The otherwise marginal attractiveness of ATES chill systems vanishes under the extremely low load factors characteristic of residential cooling systems. (LCL)

Water-quality characteristics of urban runoff and estimates of annual loads in the Tampa Bay area, Florida, 1975-80

USGS Publications Warehouse

Lopez, M.A.; Giovannelli, R.F.

1984-01-01

Rainfall, runoff, and water quality data were collected at nine urban watersheds in the Tampa Bay area from 1975 to 1980. Watershed drainage area ranged from 0.34 to 0.45 sq mi. Land use was mixed. Development ranged from a mostly residential watershed with a 19% impervious surface, to a commercial-residential watershed with a 61% impervious surface. Average biochemical oxygen demand concentrations of base flow at two sites and of stormwater runoff at five sites exceeded treated sewage effluent standards. Average coliform concentrations of stormwater runoff at all sites were several orders of magnitude greater than standards for Florida Class III receiving water (for recreation or propagation and management of fish and wildlife). Average concentrations of lead and zinc in stormwater runoff were consistently higher than Class III standards. Stormwater-runoff loads and base-flow concentrations of biochemical oxygen demand, chemical oxygen demand, total nitrogen, total organic nitrogen, total phosphorus, and lead were related to runoff volume, land use, urban development, and antecedent daily rainfall by multiple linear regression. Stormwater-runoff volume was related to pervious area, hydraulically connected impervious surfaces, storm rainfall, and soil-infiltration index. Base-flow daily discharge was related to drainage area and antecedent daily rainfall. The flow regression equations of this report were used to compute 1979 water-year loads of biochemical oxygen demand, chemical oxygen demand, total nitrogen, total organic nitrogen, total phosphorus , and total lead for the nine Tampa Bay area urban watersheds. (Lantz-PTT)

Smart Meter Driven Segmentation: What Your Consumption Says About You

DOE Office of Scientific and Technical Information (OSTI.GOV)

Albert, A; Rajagopal, R

With the rollout of smart metering infrastructure at scale, demand-response (DR) programs may now be tailored based on users' consumption patterns as mined from sensed data. For issuing DR events it is key to understand the inter-temporal consumption dynamics as to appropriately segment the user population. We propose to infer occupancy states from consumption time series data using a hidden Markov model framework. Occupancy is characterized in this model by 1) magnitude, 2) duration, and 3) variability. We show that users may be grouped according to their consumption patterns into groups that exhibit qualitatively different dynamics that may be exploitedmore » for program enrollment purposes. We investigate empirically the information that residential energy consumers' temporal energy demand patterns characterized by these three dimensions may convey about their demographic, household, and appliance stock characteristics. Our analysis shows that temporal patterns in the user's consumption data can predict with good accuracy certain user characteristics. We use this framework to argue that there is a large degree of individual predictability in user consumption at a population level.« less

No End of Grief: Indian Residential Schools in Canada.

ERIC Educational Resources Information Center

Grant, Agnes

This book documents and comments on what is known about the Indian residential school era in Canada. The aftermath of this era has exacted a huge toll, both in the human suffering of First Nations and on Canadian society in general, but understanding the impact of residential schools can aid the healing process. Chapters are: (1) "Examining…

Different social drivers, including perceptions of urban wildlife, explain the ecological resources in residential landscapes

Treesearch

J. Amy Belaire; Lynne M. Westphal; Emily S. Minor

2016-01-01

The conservation value of residential landscapes is becoming increasingly apparent in our urbanizing world. The ecological characteristics of residential areas are largely determined by the decisions of many individual "managers." In these complex socio-ecological systems, it is important to understand the factors that motivate human decision-making. Our...

Solar Energy: Non-Residential Applications and Future Technology: Student Material. First Edition.

ERIC Educational Resources Information Center

Takacs, Robert; Orsak, Charles G., Jr.

Student materials are presented for the course, Non-Residential Applications and Future Technology, one of seven core courses in Navarro College's two-year associate degree program for solar technicians. First, introductory material discusses the form and objectives of the course and ways of using the student materials. Next, readings, worksheets,…

[Health risk assessment of soil heavy metals in residential communities built on brownfields].

PubMed

Chen, Xing; Ma, Jian-Hua; Li, Xin-Ning; Liu, De-Xin; Li, Yi-Meng

2014-03-01

Nine residential communities which were built on different brownfields in a city of Henan Province were chosen to investigate the health risks of heavy metals (As, Hg, Cd, and Pb) in surface soils. Concentrations of soil heavy metals were measured according to the methods described in the national standard. Based on the health risk models recommended by the U. S. Environmental Protection Agency (US EPA), non-carcinogenic and carcinogenic health risks of soil heavy metals were assessed. The results showed that compared with the original brownfields, the heavy metal concentrations in soils and their health risks in residential communities built on brownfields were significantly improved, and the concentrations and health risks of soil heavy metals in these communities were all higher than those in non-brownfield residential communities. The HQ and HI values of soil heavy metals in all the residential communities were lower than 1, which indicated that there was no non-carcinogenic risk in these communities. Meanwhile, the values of CR and TCR were slightly higher than the standard suggested by the US EPA, indicating that slight carcinogenic risks in the communities, but these values were lower than the lenient standard proposed by some experts. The HI value of the four metals for children was exactly seven times higher than that for adults. The contribution rate of HQ(As) to HI was about 75%, CR(AS) to TCR was about 80%, and therefore arsenic was the crucial factor for carcinogenic and non-carcinogenic risk in the residential communities of the city.

Assessment of eHealth capabilities and utilization in residential care settings.

PubMed

Towne, Samuel D; Lee, Shinduk; Li, Yajuan; Smith, Matthew Lee

2016-12-01

The US National Survey of Residential Care Facilities was used to conduct cross-sectional analyses of residential care facilities (n = 2302). Most residential care facilities lacked computerized capabilities for one or more of these capabilities in 2010. Lacking computerized systems supporting electronic health information exchange with pharmacies was associated with non-chain affiliation (p < .05). Lacking electronic health information exchange with physicians was associated with being a small-sized facility (vs large) (p < .05). Lacking computerized capabilities for discharge/transfer summaries was associated with for-profit status (p < .05) and small-sized facilities (p < .05). Lacking computerized capabilities for medical provider information was associated with non-chain affiliation (p < .05), small- or medium-sized facilities (p < .05), and for-profit status (p < .05). Lack of electronic health record was associated with non-chain affiliation (p < .05), small- or medium-sized facilities (p < .05), for-profit status (p < .05), and location in urban areas (p < .05). eHealth disparities exist across residential care facilities. As the older adult population continues to grow, resources must be in place to provide an integrated system of care across multiple settings. © The Author(s) 2015.

Smart Grid Adoption Likeliness Framework: Comparing Idaho and National Residential Consumers' Perceptions

NASA Astrophysics Data System (ADS)

Baiya, Evanson G.

New energy technologies that provide real-time visibility of the electricity grid's performance, along with the ability to address unusual events in the grid and allow consumers to manage their energy use, are being developed in the United States. Primary drivers for the new technologies include the growing energy demand, tightening environmental regulations, aging electricity infrastructure, and rising consumer demand to become more involved in managing individual energy usage. In the literature and in practice, it is unclear if, and to what extent, residential consumers will adopt smart grid technologies. The purpose of this quantitative study was to examine the relationships between demographic characteristics, perceptions, and the likelihood of adopting smart grid technologies among residential energy consumers. The results of a 31-item survey were analyzed for differences within the Idaho consumers and compared against national consumers. Analysis of variance was used to examine possible differences between the dependent variable of likeliness to adopt smart grid technologies and the independent variables of age, gender, residential ownership, and residential location. No differences were found among Idaho consumers in their likeliness to adopt smart grid technologies. An independent sample t-test was used to examine possible differences between the two groups of Idaho consumers and national consumers in their level of interest in receiving detailed feedback information on energy usage, the added convenience of the smart grid, renewable energy, the willingness to pay for infrastructure costs, and the likeliness to adopt smart grid technologies. The level of interest in receiving detailed feedback information on energy usage was significantly different between the two groups (t = 3.11, p = .0023), while the other variables were similar. The study contributes to technology adoption research regarding specific consumer perceptions and provides a framework that estimates the likeliness of adopting smart grid technologies by residential consumers. The study findings could assist public utility managers and technology adoption researchers as they develop strategies to enable wide-scale adoption of smart grid technologies as a solution to the energy problem. Future research should be conducted among commercial and industrial energy consumers to further validate the findings and conclusions of this research.

Energy supply and demand modeling. (Latest citations from the NTIS bibliographic database). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1994-01-01

The bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (Contains 250 citations and includes a subject term index and title list.)

Energy supply and demand modeling. (Latest citations from the NTIS data base). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1992-10-01

The bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (Contains 250 citations and includes a subject term index and title list.)

Energy supply and demand modeling. (Latest citations from the NTIS bibliographic database). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1994-12-01

The bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (Contains 250 citations and includes a subject term index and title list.)

"Two-Eyed Seeing": Moving from Paralysis to Action in Understanding the Legacy of Indian Residential Schools in British Columbia, Canada

ERIC Educational Resources Information Center

Kay, Cheryl

2017-01-01

This article documents a reflexive personal teacher narrative (Brookfield 1995; Cochran-Smith and Lytle 2009; Humphreys 2005; Hamilton, Smith, and Worthington 2009; Larrivee 2010) about understanding the legacy of the Indian Residential School experience for indigenous people of British Columbia, Canada. In 2015, a new curriculum was introduced. I…

Water quality modeling in the dead end sections of drinking water (Supplement)

EPA Pesticide Factsheets

Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to water stagnation leads to rapid reduction of disinfectant residuals allowing the regrowth of microbial pathogens. Water quality models developed so far apply spatial aggregation and temporal averaging techniques for hydraulic parameters by assigning hourly averaged water demands to the main nodes of the network. Although this practice has generally resulted in minimal loss of accuracy for the predicted disinfectant concentrations in main water transmission lines, this is not the case for the peripheries of the distribution network. This study proposes a new approach for simulating disinfectant residuals in dead end pipes while accounting for both spatial and temporal variability in hydraulic and transport parameters. A stochastic demand generator was developed to represent residential water pulses based on a non-homogenous Poisson process. Dispersive solute transport was considered using highly dynamic dispersion rates. A genetic algorithm was used tocalibrate the axial hydraulic profile of the dead-end pipe based on the different demand shares of the withdrawal nodes. A parametric sensitivity analysis was done to assess the model performance under variation of different simulation parameters. A group of Monte-Carlo ensembles was carried out to investigate the influence of spatial and temporal variation

Water Quality Modeling in the Dead End Sections of Drinking ...

EPA Pesticide Factsheets

Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to water stagnation leads to rapid reduction of disinfectant residuals allowing the regrowth of microbial pathogens. Water quality models developed so far apply spatial aggregation and temporal averaging techniques for hydraulic parameters by assigning hourly averaged water demands to the main nodes of the network. Although this practice has generally resulted in minimal loss of accuracy for the predicted disinfectant concentrations in main water transmission lines, this is not the case for the peripheries of a distribution network. This study proposes a new approach for simulating disinfectant residuals in dead end pipes while accounting for both spatial and temporal variability in hydraulic and transport parameters. A stochastic demand generator was developed to represent residential water pulses based on a non-homogenous Poisson process. Dispersive solute transport was considered using highly dynamic dispersion rates. A genetic algorithm was used to calibrate the axial hydraulic profile of the dead-end pipe based on the different demand shares of the withdrawal nodes. A parametric sensitivity analysis was done to assess the model performance under variation of different simulation parameters. A group of Monte-Carlo ensembles was carried out to investigate the influence of spatial and temporal variations

Regional Accrediting Faces New Challenges

ERIC Educational Resources Information Center

Robb, Felix C.

1972-01-01

As institutions responsive to public demand, community colleges can play an important role in strengthening public understanding of and appreciation for voluntary, non-governmental regional accreditation. (NF)

"Too much moving...there's always a reason": Understanding urban Aboriginal peoples' experiences of mobility and its impact on holistic health.

PubMed

Snyder, Marcie; Wilson, Kathi

2015-07-01

Urban Indigenous peoples face a disproportionate burden of ill health compared to non-Indigenous populations, and experience more frequent geographic mobility. However, most of what is known about Indigenous health is limited to rural, northern, or in the case of Canada, reserve-based populations. Little is known about the complexities of urban Indigenous health, and the differential impacts of residential mobility and urban migration remain poorly understood. Drawing upon interviews with Aboriginal movers and service providers in Winnipeg, Canada, we apply a critical population health lens, informed by holistic health, to examine these impacts. The results demonstrate mobility is an intergenerational phenomenon, influenced by colonial practices. While migration can contribute to positive health experiences, residential mobility, which is largely involuntary, and linked to stressors such as neighborhood safety, results in negative health effects. Copyright © 2015 Elsevier Ltd. All rights reserved.

Energy demand of occupant's spatial modification in residential buildings. Case study of Médéa, Algeria

NASA Astrophysics Data System (ADS)

Soufiane, Boukarta; Ewa, Berezowska-Azzag

2018-03-01

Housing is rated as one of the most commonly consuming energy field in terms of energy end-use with 41%. Regarding the transformations dealt by dwellers for functional and social uses. The aim of this paper is: Firstly, to highlight the non-controlled transformation process made by the occupant in Algeria; Secondly, to explore the impact of the energy load of such spatial transformations. The question is approached in two tracks, (i) Through Ecotect software's simulations (ii) and measurements through a collection of energy end-use data. Basically, the energy demand is bound to dwelling's spatial and socioeconomic criteria. Three cases studied showed consequently 2 positive and 1 negative energy load, in which two explanations may be given: Insulation quality that occupant is lacking facilities to improve may be stated as a physical explanation, as well as for the socio economic one, the density per dwelling plays a major role, but it is the income which explains within the two approaches more than 87% of the energy end use.

Multi-Contextual Segregation and Environmental Justice Research: Toward Fine-Scale Spatiotemporal Approaches

PubMed Central

Park, Yoo Min; Kwan, Mei-Po

2017-01-01

Many environmental justice studies have sought to examine the effect of residential segregation on unequal exposure to environmental factors among different social groups, but little is known about how segregation in non-residential contexts affects such disparity. Based on a review of the relevant literature, this paper discusses the limitations of traditional residence-based approaches in examining the association between socioeconomic or racial/ethnic segregation and unequal environmental exposure in environmental justice research. It emphasizes that future research needs to go beyond residential segregation by considering the full spectrum of segregation experienced by people in various geographic and temporal contexts of everyday life. Along with this comprehensive understanding of segregation, the paper also highlights the importance of assessing environmental exposure at a high spatiotemporal resolution in environmental justice research. The successful integration of a comprehensive concept of segregation, high-resolution data and fine-grained spatiotemporal approaches to assessing segregation and environmental exposure would provide more nuanced and robust findings on the associations between segregation and disparities in environmental exposure and their health impacts. Moreover, it would also contribute to significantly expanding the scope of environmental justice research. PMID:28994744

City of San Antonio, Texas Better Buildings Program

DOE Office of Scientific and Technical Information (OSTI.GOV)

Meyer, Liza C.; Hammer, Mary C.

2014-06-30

The San Antonio Better Buildings Program is a unified single-point-of-service energy efficiency delivery mechanism targeting residential, commercial, institutional, industrial and public buildings. This comprehensive and replicable energy efficiency program is designed to be an effective demand side management initiative to provide a seamless process for program participants to have turn-key access to expert analysis, support and incentives to improve the performance of their in-place energy using systems, while reducing electrical energy use and demand.

A Study on Grid-Square Statistics Based Estimation of Regional Electricity Demand and Regional Potential Capacity of Distributed Generators

NASA Astrophysics Data System (ADS)

Kato, Takeyoshi; Sugimoto, Hiroyuki; Suzuoki, Yasuo

We established a procedure for estimating regional electricity demand and regional potential capacity of distributed generators (DGs) by using a grid square statistics data set. A photovoltaic power system (PV system) for residential use and a co-generation system (CGS) for both residential and commercial use were taken into account. As an example, the result regarding Aichi prefecture was presented in this paper. The statistical data of the number of households by family-type and the number of employees by business category for about 4000 grid-square with 1km × 1km area was used to estimate the floor space or the electricity demand distribution. The rooftop area available for installing PV systems was also estimated with the grid-square statistics data set. Considering the relation between a capacity of existing CGS and a scale-index of building where CGS is installed, the potential capacity of CGS was estimated for three business categories, i.e. hotel, hospital, store. In some regions, the potential capacity of PV systems was estimated to be about 10,000kW/km2, which corresponds to the density of the existing area with intensive installation of PV systems. Finally, we discussed the ratio of regional potential capacity of DGs to regional maximum electricity demand for deducing the appropriate capacity of DGs in the model of future electricity distribution system.

Lead in Drinking Water in Schools and Non-Residential Buildings.

ERIC Educational Resources Information Center

Environmental Protection Agency, Washington, DC.

This manual demonstrates how drinking water in schools and non-residential buildings can be tested for lead and how contamination problems can be corrected when found. The manual also provides background information concerning the sources and health effects of lead, how lead gets into drinking water, how lead in drinking water is regulated, and…

Environmental assessment in support of proposed interim energy conservation voluntary performance standards for new non-federal residential buildings: Volume 7

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

1989-09-01

The objective of this environmental assessment (EA) is to identify the potential environmental impacts that could result from the proposed voluntary residential standard (VOLRES) on private sector construction of new residential buildings. In this report, the scope, objectives, and approach of this EA are presented.

Processing Demands Impact 3-Year-Olds' Performance in a Spontaneous-Response Task: New Evidence for the Processing-Load Account of Early False-Belief Understanding.

PubMed

Scott, Rose M; Roby, Erin

2015-01-01

Prior to age four, children succeed in non-elicited-response false-belief tasks but fail elicited-response false-belief tasks. To explain this discrepancy, the processing-load account argues that the capacity to represent beliefs emerges in infancy, as indicated by early success on non-elicited-response tasks, but that children's ability to demonstrate this capacity depends on the processing demands of the task and children's processing skills. When processing demands exceed young children's processing abilities, such as in standard elicited-response tasks, children fail despite their capacity to represent beliefs. Support for this account comes from recent evidence that reducing processing demands improves young children's performance: when demands are sufficiently reduced, 2.5-year-olds succeed in elicited-response tasks. Here we sought complementary evidence for the processing-load account by examining whether increasing processing demands impeded children's performance in a non-elicited-response task. 3-year-olds were tested in a preferential-looking task in which they heard a change-of-location false-belief story accompanied by a picture book; across children, we manipulated the amount of linguistic ambiguity in the story. The final page of the book showed two images: one that was consistent with the main character's false belief and one that was consistent with reality. When the story was relatively unambiguous, children looked reliably longer at the false-belief-consistent image, successfully demonstrating their false-belief understanding. When the story was ambiguous, however, this undermined children's performance: looking times to the belief-consistent image were correlated with verbal ability, and only children with verbal skills in the upper quartile of the sample demonstrated a significant preference for the belief-consistent image. These results support the processing-load account by demonstrating that regardless of whether a task involves an elicited response, children's performance depends on the processing demands of the task and their processing skills. These findings also have implications for alternative, deflationary accounts of early false-belief understanding.

Processing Demands Impact 3-Year-Olds’ Performance in a Spontaneous-Response Task: New Evidence for the Processing-Load Account of Early False-Belief Understanding

PubMed Central

Scott, Rose M.; Roby, Erin

2015-01-01

Prior to age four, children succeed in non-elicited-response false-belief tasks but fail elicited-response false-belief tasks. To explain this discrepancy, the processing-load account argues that the capacity to represent beliefs emerges in infancy, as indicated by early success on non-elicited-response tasks, but that children’s ability to demonstrate this capacity depends on the processing demands of the task and children’s processing skills. When processing demands exceed young children’s processing abilities, such as in standard elicited-response tasks, children fail despite their capacity to represent beliefs. Support for this account comes from recent evidence that reducing processing demands improves young children’s performance: when demands are sufficiently reduced, 2.5-year-olds succeed in elicited-response tasks. Here we sought complementary evidence for the processing-load account by examining whether increasing processing demands impeded children’s performance in a non-elicited-response task. 3-year-olds were tested in a preferential-looking task in which they heard a change-of-location false-belief story accompanied by a picture book; across children, we manipulated the amount of linguistic ambiguity in the story. The final page of the book showed two images: one that was consistent with the main character’s false belief and one that was consistent with reality. When the story was relatively unambiguous, children looked reliably longer at the false-belief-consistent image, successfully demonstrating their false-belief understanding. When the story was ambiguous, however, this undermined children’s performance: looking times to the belief-consistent image were correlated with verbal ability, and only children with verbal skills in the upper quartile of the sample demonstrated a significant preference for the belief-consistent image. These results support the processing-load account by demonstrating that regardless of whether a task involves an elicited response, children’s performance depends on the processing demands of the task and their processing skills. These findings also have implications for alternative, deflationary accounts of early false-belief understanding. PMID:26562840

Simulation of projected water demand and ground-water levels in the Coffee Sand and Eutaw-McShan aquifers in Union County, Mississippi, 2010 through 2050

USGS Publications Warehouse

Hutson, Susan S.; Strom, E.W.; Burt, D.E.; Mallory, M.J.

2000-01-01

Ground water from the Eutaw-McShan and the Coffee Sand aquifers is the major source of supply for residential, commercial, and industrial purposes in Union County, Mississippi. Unbiased, scientifically sound data and assessments are needed to assist agencies in better understanding and managing available water resources as continuing development and growth places more stress on available resources. The U.S. Geological Survey, in cooperation with the Tennessee Valley Authority, conducted an investigation using water-demand and ground-water models to evaluate the effect of future water demand on groundwater levels. Data collected for the 12 public-supply facilities and the self-supplied commercial and industrial facilities in Union County were used to construct water-demand models. The estimates of water demand to year 2050 were then input to a ground-water model based on the U.S. Geological Survey finite-difference computer code, MODFLOW. Total ground-water withdrawals for Union County in 1998 were estimated as 2.85 million gallons per day (Mgal/d). Of that amount, municipal withdrawals were 2.55 Mgal/d with about 1.50 Mgal/d (59 percent) delivered to residential users. Nonmunicipal withdrawals were 0.296 Mgal/d. About 80 percent (2.27 Mgal/d) of the total ground-water withdrawal is produced from the Eutaw-McShan aquifer and about 13 percent (0.371 Mgal/d) from the Coffee Sand aquifer. Between normal- and high-growth conditions, total water demand could increase from 72 to 131 percent (2.9 Mgal/d in 1998 to 6.7 Mgal/d in year 2050) with municipal demand increasing from 77 to 146 percent (2.6 to 6.4 Mgal/d). Increased pumping to meet the demand for water was simulated to determine the effect on water levels in the Coffee Sand and Eutaw- McShan aquifers. Under baseline-growth conditions, increased water use by year 2050 could result in an additional 65 feet of drawdown in the New Albany area below year 2000 water levels in the Coffee Sand aquifer and about 120 feet of maximum drawdown in the Eutaw-McShan aquifer. Under normal-growth conditions, increased water use could result in an additional 65 feet of drawdown in the New Albany area below year 2000 water levels in the Coffee Sand aquifer and about 135 feet of maximum drawdown in the Eutaw-McShan aquifer. Under high-growth conditions, increased water use could result in 75 feet of drawdown in the New Albany area below year 2000 water levels in the Coffee Sand aquifer and about 190 feet of maximum drawdown in the Eutaw-McShan aquifer. The resulting highgrowth projected water level for the year 2050 at the center of the drawdown cone in the New Albany area is between 450 and 500 feet above the top of the Eutaw-McShan aquifer.

Influence of road network and population demand assumptions in evacuation modeling for distant tsunamis

USGS Publications Warehouse

Henry, Kevin; Wood, Nathan J.; Frazier, Tim G.

2017-01-01

Tsunami evacuation planning in coastal communities is typically focused on local events where at-risk individuals must move on foot in a matter of minutes to safety. Less attention has been placed on distant tsunamis, where evacuations unfold over several hours, are often dominated by vehicle use and are managed by public safety officials. Traditional traffic simulation models focus on estimating clearance times but often overlook the influence of varying population demand, alternative modes, background traffic, shadow evacuation, and traffic management alternatives. These factors are especially important for island communities with limited egress options to safety. We use the coastal community of Balboa Island, California (USA), as a case study to explore the range of potential clearance times prior to wave arrival for a distant tsunami scenario. We use a first-in–first-out queuing simulation environment to estimate variations in clearance times, given varying assumptions of the evacuating population (demand) and the road network over which they evacuate (supply). Results suggest clearance times are less than wave arrival times for a distant tsunami, except when we assume maximum vehicle usage for residents, employees, and tourists for a weekend scenario. A two-lane bridge to the mainland was the primary traffic bottleneck, thereby minimizing the effect of departure times, shadow evacuations, background traffic, boat-based evacuations, and traffic light timing on overall community clearance time. Reducing vehicular demand generally reduced clearance time, whereas improvements to road capacity had mixed results. Finally, failure to recognize non-residential employee and tourist populations in the vehicle demand substantially underestimated clearance time.

ARES (Automated Residential Energy Standard) 1.2: User`s guide, in support of proposed interim energy conservation voluntary performance standards for new non-federal residential buildings: Volume 1

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

The ARES (Automated Residential Energy Standard) User`s Guide is designed to the user successfully operate the ARES computer program. This guide assumes that the user is familiar with basic PC skills such as using a keyboard and loading a disk drive. The ARES computer program was designed to assist building code officials in creating a residential energy standard based on local climate and costs.

Racial Residential Segregation and Risky Sexual Behavior Among Non-Hispanic Blacks, National Survey of Family Growth, 2006 – 2010

PubMed Central

Lutfi, Khaleeq; Trepka, Mary Jo; Fennie, Kristopher P.; Ibanez, Gladys; Gladwin, Hugh

2015-01-01

Sexually transmitted infections (STIs) including human immunodeficiency virus (HIV) have disproportionately affected the non-Hispanic black population in the United States. A person’s community can affect his or her STI risk by the community’s underlying prevalence of STIs, sexual networks, and social influences on individual behaviors. Racial residential segregation—the separation of racial groups in a residential context across physical environments—is a community factor that has been associated with negative health outcomes. The objective of this study was to examine if non-Hispanic blacks living in highly segregated areas were more likely to have risky sexual behavior. Demographic and sexual risk behavior data from non-Hispanic blacks aged 15 – 44 years participating in the National Survey of Family Growth were linked to Core-Based Statistical Area segregation data from the U.S. Census Bureau. Five dimensions measured racial residential segregation, each covering a different concept of spatial variation. Multilevel logistic regressions were performed to test the effect of each dimension on sexual risk behavior controlling for demographics and community poverty. Of the 3,643 participants, 588 (14.5%) reported risky sexual behavior as defined as two or more partners in the last 12 months and no consistent condom use. Multilevel analysis results show that racial residential segregation was associated with risky sexual behavior with the association being stronger for the centralization [aOR (95% CI)][2.07 (2.05 – 2.08)] and concentration [2.05 (2.03 – 2.07)] dimensions. This suggests risky sexual behavior is more strongly associated with neighborhoods with high concentrations of non-Hispanic blacks and an accumulation of non-Hispanic blacks in an urban core. Findings suggest racial residential segregation is associated with risky sexual behavior in non-Hispanic blacks 15 – 44 years of age with magnitudes varying by dimension. Incorporating additional contextual factors may lead to the development of interventions that promote healthier behaviors and lower rates of HIV and other STIs. PMID:26210657

Residential Instability, Family Support, and Parent-Child Relationships Among Ethnically Diverse Urban Families.

PubMed

Riina, Elizabeth M; Lippert, Adam; Brooks-Gunn, Jeanne

2016-08-01

From a social disorganization standpoint, neighborhood residential instability potentially brings negative consequences to parent-child relationship qualities, but family social support and racial/ethnic identity may modify this association. Using data (n = 3,116) from the Project on Human Development in Chicago Neighborhoods, this study examines associations between neighborhood residential instability and parent-child warmth and conflict, whether family social support moderates associations between residential instability and parent-child relationships, and variation by race/ethnicity. Multilevel models reveal that residential instability undermines parent-child relationship qualities, particularly for non-White individuals. Family support is a protective factor for families in less stable neighborhoods, and specifically buffers the association between neighborhood residential instability and reduced parent-child warmth. Among Hispanics, family support mitigates the association between residential instability and heightened parent-child conflict. Findings highlight residential instability as a detriment to parent-child relationships; families in unstable neighborhoods may benefit from family social support.

Quantifying the contribution of ambient and indoor-generated fine particles to indoor air in residential environments.

PubMed

MacNeill, M; Kearney, J; Wallace, L; Gibson, M; Héroux, M E; Kuchta, J; Guernsey, J R; Wheeler, A J

2014-08-01

Indoor fine particles (FPs) are a combination of ambient particles that have infiltrated indoors, and particles that have been generated indoors from activities such as cooking. The objective of this paper was to estimate the infiltration factor (Finf ) and the ambient/non-ambient components of indoor FPs. To do this, continuous measurements were collected indoors and outdoors for seven consecutive days in 50 non-smoking homes in Halifax, Nova Scotia in both summer and winter using DustTrak (TSI Inc) photometers. Additionally, indoor and outdoor gravimetric measurements were made for each 24-h period in each home, using Harvard impactors (HI). A computerized algorithm was developed to remove (censor) peaks due to indoor sources. The censored indoor/outdoor ratio was then used to estimate daily Finfs and to determine the ambient and non-ambient components of total indoor concentrations. Finf estimates in Halifax (daily summer median = 0.80; daily winter median = 0.55) were higher than have been reported in other parts of Canada. In both winter and summer, the majority of FP was of ambient origin (daily winter median = 59%; daily summer median = 84%). Predictors of the non-ambient component included various cooking variables, combustion sources, relative humidity, and factors influencing ventilation. This work highlights the fact that regional factors can influence the contribution of ambient particles to indoor residential concentrations. Ambient and non-ambient particles have different risk management approaches, composition, and likely toxicity. Therefore, a better understanding of their contribution to the indoor environment is important to manage the health risks associated with fine particles (FPs) effectively. As well, a better understanding of the factors Finf can help improve exposure assessment and contribute to reduced exposure misclassification in epidemiologic studies. © 2013 Her Majesty the Queen in Right of Canada Indoor Air © 2013 John Wiley & Sons Ltd Reproduced with the permission of the Minister of Health Canada.

Use of a geographic information system to identify differences in automated external defibrillator installation in urban areas with similar incidence of public out-of-hospital cardiac arrest: a retrospective registry-based study.

PubMed

Fredman, David; Haas, Jan; Ban, Yifang; Jonsson, Martin; Svensson, Leif; Djarv, Therese; Hollenberg, Jacob; Nordberg, Per; Ringh, Mattias; Claesson, Andreas

2017-06-02

Early defibrillation in out-of-hospital cardiac arrest (OHCA) is of importance to improve survival. In many countries the number of automated external defibrillators (AEDs) is increasing, but the use is low. Guidelines suggest that AEDs should be installed in densely populated areas and in locations with many visitors. Attempts have been made to identify optimal AED locations based on the incidence of OHCA using geographical information systems (GIS), but often on small datasets and the studies are seldom reproduced. The aim of this paper is to investigate if the distribution of public AEDs follows the incident locations of public OHCAs in urban areas of Stockholm County, Sweden. OHCA data were obtained from the Swedish Register for Cardiopulmonary Resuscitation and AED data were obtained from the Swedish AED Register. Urban areas in Stockholm County were objectively classified according to the pan-European digital mapping tool, Urban Atlas (UA). Furthermore, we reclassified and divided the UA land cover data into three classes (residential, non-residential and other areas). GIS software was used to spatially join and relate public AED and OHCA data and perform computations on relations and distance. Between 1 January 2012 and 31 December 2014 a total of 804 OHCAs occurred in public locations in Stockholm County and by December 2013 there were 1828 AEDs available. The incidence of public OHCAs was similar in residential (47.3%) and non-residential areas (43.4%). Fewer AEDs were present in residential areas than in non-residential areas (29.4% vs 68.8%). In residential areas the median distance between OHCAs and AEDs was significantly greater than in non-residential areas (288 m vs 188 m, p<0.001). The majority of public OHCAs occurred in areas classified in UA as 'residential areas' with limited AED accessibility. These areas need to be targeted for AED installation and international guidelines need to take geographical location into account when suggesting locations for AED installation. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

A Study of Curriculum Development and Reform in Residential Schools for the Blind in the United States: Three Case Studies

ERIC Educational Resources Information Center

Holiday, Jeremiah

2013-01-01

This study was conducted to understand curriculum development in residential schools for the blind after the enactment of NCLB and was guided by the research question, "How do residential schools for the blind and visually impaired develop their curriculum to meet the unique needs of students who are blind and visually impaired?" In the…

Single-Parents' Persistence in Pursuit of Higher Education: A Case Study

ERIC Educational Resources Information Center

Poindexter, Beryle Jean

2017-01-01

The purpose of this qualitative case study is an exploratory study to examine what contributes to the failure of the persistence of non-residential single-parents pursuing a college degree. The participants of this study included ten non-residential single-parent students between the ages of 21 and 50. The site of the interviews was in the…

Early Maladaptive Schemas in a Sample of Airline Pilots seeking Residential Substance Use Treatment: An Initial Investigation

PubMed Central

Shorey, Ryan C.; Brasfield, Hope; Anderson, Scott; Stuart, Gregory L.

2014-01-01

Background Recent research has begun to examine the early maladaptive schemas of substance abusers, as it is believed that targeting these core beliefs in treatment may result in improved substance use outcomes. One special population that has received scant attention in the research literature, despite high levels of substance use, is airline pilots. Aims The current study examined the early maladaptive schemas of a sample of airline pilots (n = 64) who were seeking residential treatment for alcohol dependence and whether they differed in early maladaptive schemas from non-pilot substance abusers who were also seeking residential treatment for alcohol dependence (n = 45). Method Pre-existing medical records from patients of a residential substance abuse treatment facility were reviewed for the current study. Results Of the 18 early maladaptive schemas, results demonstrated that pilots scored higher than non-pilots on the early maladaptive schema of unrelenting standards (high internalized standards of behavior), whereas non-pilots scored higher on insufficient self-control (low frustration tolerance and self-control). Conclusions Early maladaptive schemas may be a relevant treatment target for substance abuse treatment seeking pilots and non-pilots. PMID:24701252

Have Chinese water pricing reforms reduced urban residential water demand?

NASA Astrophysics Data System (ADS)

Zhang, B.; Fang, K. H.; Baerenklau, K. A.

2017-06-01

China continues to deal with severe levels of water scarcity and water pollution. To help address this situation, the Chinese central government initiated urban water pricing reforms in 2002 that emphasized the adoption of increasing block rate (IBR) price structures in place of existing uniform rate structures. By combining urban water use records with microlevel data from the Chinese Urban Household Survey, this research investigates the effectiveness of this national policy reform. Specifically, we compare household water consumption in 28 cities that adopted IBR pricing structures during 2002-2009, with that of 110 cities that had not yet done so. Based on difference-in-differences models, our results show that the policy reform reduced annual residential water demand by 3-4% in the short run and 5% in the longer run. These relatively modest reductions are consistent with the generous nature of the IBR pricing structures that Chinese cities have typically chosen to implement. Our results imply that more efforts are needed to address China's persistent urban water scarcity challenges.

Modeling a novel hypothetical use of postal collection boxes as automated external defibrillator access points.

PubMed

Srinivasan, Sanjana; Salerno, Jessica; Hajari, Hadi; Weiss, Lenny S; Salcido, David D

2017-11-01

Optimizing placement of Automated External Defibrillators (AED) can increase survival after an out-of-hospital cardiac arrest (OHCA). Using postal collection boxes (PCB) as locations for AEDs could potentially enhance accessibility and streamline maintenance. In this study, we modeled the hypothetical effects of deploying AEDs at PCB locations. We hypothesized that PCB-AEDs would increase AED coverage overall and in residential areas, and reduce the distance from OHCA to an AED. AEDs in Pittsburgh, PA were identified by the University of Pittsburgh Resuscitation Logistics and Informatics Venture (n=747). PCB locations were obtained from the United States Postal Service (n=479). OHCA locations from 2009 to 2014 were obtained from the Pittsburgh site of the Resuscitation Outcomes Consortium. AED coverage assuming a ¼ mile radius around each AED was estimated for known AEDs, PCB-AEDs (hypothetical AED locations), and known AEDs augmented by PCB-AEDs, both overall and for residential and non-residential zones. Linear distance from each OHCA to the nearest AED was calculated and compared between the sets. The set of known AEDs augmented with PCB-AEDs covered more of the city overall (55% vs 30%), as well as greater proportions of residential (62% vs 27%) and non-residential areas (45% vs 30%). The median distance from OHCA to AED was significantly shorter when known AEDs were augmented with PCB-AEDs (0.12mi vs 0.32mi; p=0.001). Augmenting existing publicly accessible AEDs with AEDs deployed at PCBs can increase AED spatial coverage in both residential and non-residential areas, and reduce the distance from AED to OHCA. Copyright © 2017 Elsevier B.V. All rights reserved.

Building Energy Modeling and Control Methods for Optimization and Renewables Integration

NASA Astrophysics Data System (ADS)

Burger, Eric M.

This dissertation presents techniques for the numerical modeling and control of building systems, with an emphasis on thermostatically controlled loads. The primary objective of this work is to address technical challenges related to the management of energy use in commercial and residential buildings. This work is motivated by the need to enhance the performance of building systems and by the potential for aggregated loads to perform load following and regulation ancillary services, thereby enabling the further adoption of intermittent renewable energy generation technologies. To increase the generalizability of the techniques, an emphasis is placed on recursive and adaptive methods which minimize the need for customization to specific buildings and applications. The techniques presented in this dissertation can be divided into two general categories: modeling and control. Modeling techniques encompass the processing of data streams from sensors and the training of numerical models. These models enable us to predict the energy use of a building and of sub-systems, such as a heating, ventilation, and air conditioning (HVAC) unit. Specifically, we first present an ensemble learning method for the short-term forecasting of total electricity demand in buildings. As the deployment of intermittent renewable energy resources continues to rise, the generation of accurate building-level electricity demand forecasts will be valuable to both grid operators and building energy management systems. Second, we present a recursive parameter estimation technique for identifying a thermostatically controlled load (TCL) model that is non-linear in the parameters. For TCLs to perform demand response services in real-time markets, online methods for parameter estimation are needed. Third, we develop a piecewise linear thermal model of a residential building and train the model using data collected from a custom-built thermostat. This model is capable of approximating unmodeled dynamics within a building by learning from sensor data. Control techniques encompass the application of optimal control theory, model predictive control, and convex distributed optimization to TCLs. First, we present the alternative control trajectory (ACT) representation, a novel method for the approximate optimization of non-convex discrete systems. This approach enables the optimal control of a population of non-convex agents using distributed convex optimization techniques. Second, we present a distributed convex optimization algorithm for the control of a TCL population. Experimental results demonstrate the application of this algorithm to the problem of renewable energy generation following. This dissertation contributes to the development of intelligent energy management systems for buildings by presenting a suite of novel and adaptable modeling and control techniques. Applications focus on optimizing the performance of building operations and on facilitating the integration of renewable energy resources.

High-Latitude Wintertime Urban Pollution: Particulate Matter Composition and Temporal Trends in Fairbanks, Alaska

NASA Astrophysics Data System (ADS)

Simpson, W. R.; Nattinger, K.; Hooper, M.

2017-12-01

High latitude cities often experience severe pollution episodes during wintertime exacerbated by thermal inversion trapping of pollutant emissions. Fairbanks, Alaska is an extreme example of this problem, currently being classified by the US Environmental Protection Agency (EPA) as a "serious" non-attainment area for fine particulate matter (PM2.5). For this reason, we have studied the chemical composition of PM2.5 at multiple EPA monitoring sites in the non-attainment area from 2006 to the present. The chemical composition is dominated by organic carbon with lesser amounts of black carbon and inorganic ionic species such as ammonium, sulfate, and nitrate. We find large spatial differences in composition and amount of PM2.5 that indicate a different mix of sources in residential areas as compared to the city center. Specifically, the difference in composition is consistent with increased wood smoke source in the residential areas. The extent to which organic matter could be secondary (formed through conversion of emitted gases) is also an area needing study. Ammonium sulfate is responsible for about a fifth to a quarter of the particles mass during the darkest months, possibly indicating a non-photochemical source of sulfate, but the chemical mechanism for this possible transformation is unclear. Therefore, we quantified the relationship between particulate sulfate concentrations and gas-phase sulfur dioxide concentrations along with particulate metals and inferred particulate acidity with the hopes that these data can assist in elucidation of the mechanism of particulate sulfate formation. We also analyze temporal trends in PM2.5 composition in an attempt to understand how the problem is changing over time and find most trends are small despite regulatory changes. Improving mechanistic understanding of particulate formation under cold and dark conditions could assist in reducing air-quality-related health effects.

Association between activity space exposure to food establishments and individual risk of overweight.

PubMed

Kestens, Yan; Lebel, Alexandre; Chaix, Basile; Clary, Christelle; Daniel, Mark; Pampalon, Robert; Theriault, Marius; P Subramanian, S V

2012-01-01

Environmental exposure to food sources may underpin area level differences in individual risk for overweight. Place of residence is generally used to assess neighbourhood exposure. Yet, because people are mobile, multiple exposures should be accounted for to assess the relation between food environments and overweight. Unfortunately, mobility data is often missing from health surveys. We hereby test the feasibility of linking travel survey data with food listings to derive food store exposure predictors of overweight among health survey participants. Food environment exposure measures accounting for non-residential activity places (activity spaces) were computed and modelled in Montreal and Quebec City, Canada, using travel surveys and food store listings. Models were then used to predict activity space food exposures for 5,578 participants of the Canadian Community Health Survey. These food exposure estimates, accounting for daily mobility, were used to model self-reported overweight in a multilevel framework. Median Odd Ratios were used to assess the proportion of between-neighborhood variance explained by such food exposure predictors. Estimates of food environment exposure accounting for both residential and non-residential destinations were significantly and more strongly associated with overweight than residential-only measures of exposure for men. For women, residential exposures were more strongly associated with overweight than non-residential exposures. In Montreal, adjusted models showed men in the highest quartile of exposure to food stores were at lesser risk of being overweight considering exposure to restaurants (OR = 0.36 [0.21-0.62]), fast food outlets (0.48 [0.30-0.79]), or corner stores (0.52 [0.35-0.78]). Conversely, men experiencing the highest proportion of restaurants being fast-food outlets were at higher risk of being overweight (2.07 [1.25-3.42]). Women experiencing higher residential exposures were at lower risk of overweight. Using residential neighbourhood food exposure measures may underestimate true exposure and observed associations. Using mobility data offers potential for deriving activity space exposure estimates in epidemiological models.

Job Loss and Infrastructure Job Creation Spending During the Recession

DTIC Science & Technology

2010-05-26

the clay product and refractory manufacturing industry used by the construction industry to erect residential buildings. The output requirements from...a particular point in time. The total employment requirement associated with a given type of final demand (e.g., a water reuse program) is the

Life-cycle energy implications of different residential settings : recognizing buildings, travel, and public infrastructure.

DOT National Transportation Integrated Search

2013-08-01

The built environment can be used to influence travel demand, but very few studies consider the relative energy : savings of such policies in context of a complex urban system. This analysis quantifies the day-to-day and embodied : energy consumption...

Determinants of residential water consumption: Evidence and analysis from a 10-country household survey

NASA Astrophysics Data System (ADS)

Grafton, R. Quentin; Ward, Michael B.; To, Hang; Kompas, Tom

2011-08-01

Household survey data for 10 countries are used to quantify and test the importance of price and nonprice factors on residential water demand and investigate complementarities between household water-saving behaviors and the average volumetric price of water. Results show (1) the average volumetric price of water is an important predictor of differences in residential consumption in models that include household characteristics, water-saving devices, attitudinal characteristics and environmental concerns as explanatory variables; (2) of all water-saving devices, only a low volume/dual-flush toilet has a statistically significant and negative effect on water consumption; and (3) environmental concerns have a statistically significant effect on some self-reported water-saving behaviors. While price-based approaches are espoused to promote economic efficiency, our findings stress that volumetric water pricing is also one of the most effective policy levers available to regulate household water consumption.

Public perceptions and information gaps in solar energy in Texas

NASA Astrophysics Data System (ADS)

Rai, Varun; Beck, Ariane L.

2015-07-01

Studying the behavioral aspects of the individual decision-making process is important in identifying and addressing barriers in the adoption of residential solar photovoltaic (PV). However, there is little systematic research focusing on these aspects of residential PV in Texas, an important, large, populous state, with a range of challenges in the electricity sector including increasing demand, shrinking reserve margins, constrained water supply, and challenging emissions reduction targets under proposed federal regulations. This paper aims to address this gap through an empirical investigation of a new survey-based dataset collected in Texas on solar energy perceptions and behavior. The results of this analysis offer insights into the perceptions and motivations influencing intentions and behavior toward solar energy in a relatively untapped market and help identify information gaps that could be targeted to alleviate key barriers to adopting solar, thereby enabling significant emissions reductions in the residential sector in Texas.

Multiobjective Model of Time-of-Use and Stepwise Power Tariff for Residential Consumers in Regulated Power Markets

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhou, Bin; Yang, Rui; Li, Canbing

Here, time-of-use (TOU) rates and stepwise power tariff (SPT) are important economic levers to motivate residents to shift their electricity usage in response to electricity price. In this paper, a new multiobjective optimal tariff-making model of time-of-use and stepwise power tariff (TOUSPT) is proposed, which combines the complementary characteristics of two power tariffs, for residential energy conservation and peak load shaving. In the proposed approach, the residential demand response with price elasticity in regulated power market is considered to determine the optimum peak-valley TOU tariffs for each stepwise electricity partition. Furthermore, a practical case study is implemented to test themore » effectiveness of the proposed TOUSPT, and the results demonstrate that TOUSPT can achieve efficient end-use energy saving and also shift load from peak to off-peak periods.« less

Multiobjective Model of Time-of-Use and Stepwise Power Tariff for Residential Consumers in Regulated Power Markets

DOE PAGES

Zhou, Bin; Yang, Rui; Li, Canbing; ...

2017-07-04

Here, time-of-use (TOU) rates and stepwise power tariff (SPT) are important economic levers to motivate residents to shift their electricity usage in response to electricity price. In this paper, a new multiobjective optimal tariff-making model of time-of-use and stepwise power tariff (TOUSPT) is proposed, which combines the complementary characteristics of two power tariffs, for residential energy conservation and peak load shaving. In the proposed approach, the residential demand response with price elasticity in regulated power market is considered to determine the optimum peak-valley TOU tariffs for each stepwise electricity partition. Furthermore, a practical case study is implemented to test themore » effectiveness of the proposed TOUSPT, and the results demonstrate that TOUSPT can achieve efficient end-use energy saving and also shift load from peak to off-peak periods.« less

Data report for the Northeast Residential Experiment Station, January 1982

NASA Astrophysics Data System (ADS)

Russell, M. C.; Raghuraman, P.; Mahoney, P. C.

1982-06-01

Physical performance data obtained from photovoltaic energy systems under test at the Northeast Residential Experiment Station(NE RES) in Concord, Massachusetts are tabulated. Five prototype residential photovoltaic systems are under test at the NE RES. Each consists of a roof mounted PV array sized to meet at least 50% of the annual electrical demand of an energy conserving house and an enclosed structure to house the remainder of the PV equipment, test instrumentation and work space. The arrays provide DC power which is converted to AC by power conditioning equipment to service all the usual loads of a residence. Each prototype system is grid connected. Another house in Carlisle, Massachusetts provided with a PV system is also being monitored. The computational basis for the data reported is given. A monthly summary tabulates the monthly performance of the PV systems and monitored houses as well as meteorological data.

Heavy Episodic Drinking and Its Consequences: The Protective Effects of Same-Sex, Residential Living-Learning Communities for Undergraduate Women

PubMed Central

Boyd, Carol J.; McCabe, Sean Esteban; Cranford, James A.; Morales, Michele; Lange, James E.; Reed, Mark B.; Ketchie, Julie M.; Scott, Marcia S.

2008-01-01

Gender and living environment are two of the most consistent factors associated with heavy episodic drinking on college campuses. This study aimed to determine group differences in alcohol misuse and its attendant consequences between undergraduate women living in four distinct on-campus residential environments. A Web-based survey was self-administered to a stratified random sample of full-time students attending a large Midwestern University, and living in four distinct on-campus residential environments: 1) single-sex (all female) Residential Learning Communities (RLCs), 2) mixed-sex (male and female) RLCs, 3) single-sex (all female) non-RLCs and 4) mixed-sex (male and female) non-RLCs. Respondents living in single-sex and mixed-sex RLCs had significantly lower rates of alcohol use, heavy episodic drinking and related primary alcohol-related consequences when compared to respondents living in non-RLCs; however, women in single-sex RLCs had the lowest rates. RLCs – particularly single-sex learning communities – appear to provide undergraduate women with an environment that supports lower rates of alcohol use and abuse. PMID:18485609

Heavy episodic drinking and its consequences: the protective effects of same-sex, residential living-learning communities for undergraduate women.

PubMed

Boyd, Carol J; McCabe, Sean Esteban; Cranford, James A; Morales, Michele; Lange, James E; Reed, Mark B; Ketchie, Julie M; Scott, Marcia S

2008-08-01

Gender and living environment are two of the most consistent factors associated with heavy episodic drinking on college campuses. This study aimed to determine group differences in alcohol misuse and its attendant consequences between undergraduate women living in four distinct on-campus residential environments. A Web-based survey was self-administered to a stratified random sample of full-time students attending a large Midwestern University, and living in four distinct on-campus residential environments: 1) single-sex (all female) residential learning communities (RLCs), 2) mixed-sex (male and female) RLCs, 3) single-sex (all female) non-RLCs and 4) mixed-sex (male and female) non-RLCs. Respondents living in single-sex and mixed-sex RLCs had significantly lower rates of alcohol use, heavy episodic drinking and related primary alcohol-related consequences when compared to respondents living in non-RLCs; however, women in single-sex RLCs had the lowest rates. RLCs - particularly single-sex learning communities - appear to provide undergraduate women with an environment that supports lower rates of alcohol use and abuse.

Converting Energy Subsidies to Investments: Scaling-Up Deep Energy Retrofit in Residential Sector of Ukraine

NASA Astrophysics Data System (ADS)

Denysenko, Artur

After collapse of the Soviet Union, Ukraine inherited vast and inefficient infrastructure. Combination of historical lack of transparency, decades without reforms, chronical underinvestment and harmful cross-subsidization resulted in accumulation of energy problems, which possess significant threat to economic prosperity and national security. High energy intensity leads to excessive use of energy and heavy reliance on energy import to meet domestic demand. Energy import, in turn, results in high account balance deficit and heavy burden on the state finances. A residential sector, which accounts for one third of energy consumption and is the highest consumer of natural gas, is particularly challenging to reform. This thesis explores energy consumption of the residential sector of Ukraine. Using energy decomposition method, recent changes in energy use is analyzed. Energy intensity of space heating in the residential sector of Ukraine is compared with selected EU member states with similar climates. Energy efficiency potential is evaluated for whole residential sector in general and for multistory apartment buildings connected to the district heating in particular. Specifically, investments in thermal modernization of multistory residential buildings will result in almost 45TWh, or 3.81 Mtoe, of annual savings. Required investments for deep energy retrofit of multistory buildings is estimated as much as $19 billion in 2015 prices. Experience of energy subsidy reforms as well as lessons from energy retrofit policy from selected countries is analyzed. Policy recommendations to turn energy subsidies into investments in deep energy retrofit of residential sector of Ukraine are suggested. Regional dimension of existing energy subsidies and capital subsidies required for energy retrofit is presented.

Promise, pitfalls of rate reform shown in Vermont experiment

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1977-03-01

Both utilities and customers are unhappy with the way existing rate structures are handling rapidly rising fixed plant expenses and operating costs. Results of an experiment by Green Mountain Power in Vermont are discussed. The residential sector one-year study tested six rates: an off-peak rate, an interruptible rate, a peak-kilowatt demand rate, a three-part demand rate, an inverted demand rate, and a contract demand rate. The most successful of the kilowatt-related rates was the peak demand rate, and the most effective rate was probably the interruptible rate. The off-peak rate provided some savings for all who tried it, although theremore » are some who would have lost money in comparison to the conventional rate. The other three rate experiments proved unsuccessful because customers could not adapt to them. (MCW)« less

120 Years of U.S. Residential Housing Stock and Floor Space

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pinto de Moura, Maria C.; Smith, Steven J.; Belzer, David B.

2015-08-11

Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO2 emissions. Floor space is a major driver of building energy demand. This paper develops a historical time series of total residential floor space for 1891-2010 and examines the role of socio-economic drivers GDP, population and household size on floor space. Using primarily data from the U.S. Census Bureau, we develop new construction and vintage-disaggregated housing stock for three building types, and address various data inconsistency issues. An examination of the long-term relationship of GDP and total residential floor space shows a remarkably constantmore » trend over the period. While population increases five times over the period, a 50% decrease in household size contributes towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. Total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years.« less

Potential Evaluation of Energy Supply System in Grid Power System, Commercial, and Residential Sectors by Minimizing Energy Cost

NASA Astrophysics Data System (ADS)

Oda, Takuya; Akisawa, Atushi; Kashiwagi, Takao

If the economic activity in the commercial and residential sector continues to grow, improvement in energy conversion efficiencies of energy supply systems is necessary for CO2 mitigation. In recent years, the electricity driven hot water heat pump (EDHP) and the solar photo voltaic (PV) are commercialized. The fuel cell (FC) of co-generation system (CGS) for the commercial and residential sector will be commercialized in the future. The aim is to indicate the ideal energy supply system of the users sector, which both manages the economical cost and CO2 mitigation, considering the grid power system. In the paper, cooperative Japanese energy supply systems are modeled by linear-programming. It includes the grid power system and energy systems of five commercial sectors and a residential sector. The demands of sectors are given by the objective term for 2005 to 2025. 24 hours load for each 3 annual seasons are considered. The energy systems are simulated to be minimize the total cost of energy supply, and to be mitigate the CO2 discharge. As result, the ideal energy system at 2025 is shown. The CGS capacity grows to 30% (62GW) of total power system, and the EDHP capacity is 26GW, in commercial and residential sectors.

Predicting automated guideway transit system station security requirements

DOT National Transportation Integrated Search

1980-03-01

This study addresses the issues of personal security on Automated Guideway Transit (AGT) Systems, as they might be deployed in typical urban residential and non-residential settings. Based upon a literature review, it outlines basic characteristics o...

Residential Instability, Family Support, and Parent–Child Relationships Among Ethnically Diverse Urban Families

PubMed Central

Riina, Elizabeth M.; Lippert, Adam; Brooks-Gunn, Jeanne

2016-01-01

From a social disorganization standpoint, neighborhood residential instability potentially brings negative consequences to parent–child relationship qualities, but family social support and racial/ethnic identity may modify this association. Using data (n = 3,116) from the Project on Human Development in Chicago Neighborhoods, this study examines associations between neighborhood residential instability and parent–child warmth and conflict, whether family social support moderates associations between residential instability and parent–child relationships, and variation by race/ethnicity. Multilevel models reveal that residential instability undermines parent–child relationship qualities, particularly for non-White individuals. Family support is a protective factor for families in less stable neighborhoods, and specifically buffers the association between neighborhood residential instability and reduced parent–child warmth. Among Hispanics, family support mitigates the association between residential instability and heightened parent–child conflict. Findings highlight residential instability as a detriment to parent–child relationships; families in unstable neighborhoods may benefit from family social support. PMID:27695136

Impacts of global warming on residential heating and cooling degree-days in the United States

PubMed Central

Petri, Yana; Caldeira, Ken

2015-01-01

Climate change is expected to decrease heating demand and increase cooling demand for buildings and affect outdoor thermal comfort. Here, we project changes in residential heating degree-days (HDD) and cooling degree-days (CDD) for the historical (1981–2010) and future (2080–2099) periods in the United States using median results from the Climate Model Intercomparison Project phase 5 (CMIP5) simulations under the Representation Concentration Pathway 8.5 (RCP8.5) scenario. We project future HDD and CDD values by adding CMIP5 projected changes to values based on historical observations of US climate. The sum HDD + CDD is an indicator of locations that are thermally comfortable, with low heating and cooling demand. By the end of the century, station median HDD + CDD will be reduced in the contiguous US, decreasing in the North and increasing in the South. Under the unmitigated RCP8.5 scenario, by the end of this century, in terms of HDD and CDD values considered separately, future New York, NY, is anticipated to become more like present Oklahoma City, OK; Denver, CO, becomes more like Raleigh, NC, and Seattle, WA, becomes more like San Jose, CA. These results serve as an indicator of projected climate change and can help inform decision-making. PMID:26238673

Impacts of global warming on residential heating and cooling degree-days in the United States.

PubMed

Petri, Yana; Caldeira, Ken

2015-08-04

Climate change is expected to decrease heating demand and increase cooling demand for buildings and affect outdoor thermal comfort. Here, we project changes in residential heating degree-days (HDD) and cooling degree-days (CDD) for the historical (1981-2010) and future (2080-2099) periods in the United States using median results from the Climate Model Intercomparison Project phase 5 (CMIP5) simulations under the Representation Concentration Pathway 8.5 (RCP8.5) scenario. We project future HDD and CDD values by adding CMIP5 projected changes to values based on historical observations of US climate. The sum HDD + CDD is an indicator of locations that are thermally comfortable, with low heating and cooling demand. By the end of the century, station median HDD + CDD will be reduced in the contiguous US, decreasing in the North and increasing in the South. Under the unmitigated RCP8.5 scenario, by the end of this century, in terms of HDD and CDD values considered separately, future New York, NY, is anticipated to become more like present Oklahoma City, OK; Denver, CO, becomes more like Raleigh, NC, and Seattle, WA, becomes more like San Jose, CA. These results serve as an indicator of projected climate change and can help inform decision-making.

Small photovoltaic setup for the air conditioning system

NASA Astrophysics Data System (ADS)

Masiukiewicz, Maciej

2017-10-01

The increasing interest in air conditioning systems for residential applications in Poland will certainly increase the demand for electricity during the summer period. Due to this fact a growing interest in solutions that help to lower the electricity consumption in this sector is observed. The problem of increased energy demand for air conditioning purposes can be solved by transfer the consumption of electricity from the grid system to renewable energy sources (RES). The greatest demand for cooling occurs during the biggest sunlight. This is the basis for the analysis of technical power system based on photovoltaic cells (PV) to power the split type air conditioner. The object of the study was the commercial residential airconditioning inverter units with a capacity of 2.5kW. A network electricity production system for their own use with the possibility of buffering energy in batteries (OFF-GRID system). Currently, on the Polish market, there are no developed complete solutions dedicated to air conditioning systems based on PV. In Poland, solar energy is mainly used for heat production in solar collectors. The proposed solution will help to increase the popularity of PV systems in the Polish market as an alternative to other RES. The basic conclusion is that the amount of PV energy generated was sufficient to cover the daily energy requirement of the air conditioner.

When Actions Speak Too Much Louder than Words: Hand Gestures Disrupt Word Learning when Phonetic Demands Are High

ERIC Educational Resources Information Center

Kelly, Spencer D.; Lee, Angela L.

2012-01-01

It is now widely accepted that hand gestures help people understand and learn language. Here, we provide an exception to this general rule--when phonetic demands are high, gesture actually hurts. Native English-speaking adults were instructed on the meaning of novel Japanese word pairs that were for non-native speakers phonetically hard (/ite/ vs.…

Identifying critical success factors (CSFs) of Facilities Management (FM) in non-low cost high-rise residential buildings

NASA Astrophysics Data System (ADS)

Dahlan, F. M.; Zainuddin, A.

2018-02-01

Critical success factors (CSFs) are important key areas of activity that must be performed well in any Facilities Management (FM) organisation to achieve its missions, objectives or goals. Before implementing CSFs, an FM organisation must identify the key areas where things must be done properly to enable the business to flourish. Although many performance measurements in FM organisation have been discussed in previous research, not much research has been done on CSFs from the perspective of FM business in non-low cost high-rise residential buildings. The purpose of this study is to develop a methodology in developing the CSFs group and CSFs for FM organisation in non-low cost residential buildings. This research will involve three (3) phases of research strategy to achieve the objective of this research.

Effects of injectable extended-release naltrexone (XR-NTX) for opioid dependence on residential rehabilitation outcomes and early follow-up.

PubMed

Leslie, Douglas L; Milchak, William; Gastfriend, David R; Herschman, Philip L; Bixler, Edward O; Velott, Diana L; Meyer, Roger E

2015-04-01

Little is known about the use of extended-release naltrexone (XR-NTX) during residential rehabilitation, and its effects on early outcomes and rates of follow-up treatment. This study examined patient characteristics and rates of treatment completion and engagement in post-residential care of opioid dependent patients who received XR-NTX during residential rehabilitation, compared with patients who did not receive this medication. Electronic records for opioid dependent patients from three Pennsylvania residential detoxification and treatment facilities (N = 7,687) were retrospectively analyzed. We determined the proportion of patients who received XR-NTX (INJ), and compared rates of treatment completion and engagement in follow-up care relative to a naturalistic control group of patients recommended for, but not administered, XR-NTX (Non-INJ). Data on whether the patient initiated follow-up care were available from one site (N = 3,724). Overall, 598 (7.8%) patients were recommended for XR-NTX and of these, 168 (28.1%) received injections. Compared to non-INJ patients, INJ patients were less likely to leave against medical advice (4.8% vs. 30.2%, p < .001) and more likely to initiate follow-up care (37.7% vs. 19.7%, p < .001). These differences remained significant after controlling for demographic covariates using regression analysis. XR-NTX was associated with higher rates of residential and early post-residential care engagement in patients with opioid dependence. XR-NTX may be an effective adjunct in the residential treatment and aftercare of patients with opioid dependence. © American Academy of Addiction Psychiatry.

On the move: Exploring the impact of residential mobility on cannabis use.

PubMed

Morris, Tim; Manley, David; Northstone, Kate; Sabel, Clive E

2016-11-01

A large literature exists suggesting that residential mobility leads to increased participation in risky health behaviours such as cannabis use amongst youth. However, much of this work fails to account for the impact that underlying differences between mobile and non-mobile youth have on this relationship. In this study we utilise multilevel models with longitudinal data to simultaneously estimate between-child and within-child effects in the relationship between residential mobility and cannabis use, allowing us to determine the extent to which cannabis use in adolescence is driven by residential mobility and unobserved confounding. Data come from a UK cohort, The Avon Longitudinal Study of Parents and Children. Consistent with previous research we find a positive association between cumulative residential mobility and cannabis use when using multilevel extensions of conventional logistic regression models (log odds: 0.94, standard error: 0.42), indicating that children who move houses are more likely to use cannabis than those who remain residentially stable. However, decomposing this relationship into within- and between-child components reveals that the conventional model is underspecified and misleading; we find that differences in cannabis use between mobile and non-mobile children are due to underlying differences between these groups (between-child log odds: 3.56, standard error: 1.22), not by a change in status of residential mobility (within-child log odds: 1.33, standard error: 1.02). Our findings suggest that residential mobility in the teenage years does not place children at an increased risk of cannabis use throughout these years. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Recovery Act: Water Heater ZigBee Open Standard Wireless Controller

DOE Office of Scientific and Technical Information (OSTI.GOV)

Butler, William P.; Buescher, Tom

2014-04-30

The objective of Emerson's Water Heater ZigBee Open Standard Wireless Controller is to support the DOE's AARA priority for Clean, Secure Energy by designing a water heater control that levels out residential and small business peak electricity demand through thermal energy storage in the water heater tank.

DAS Boot!

ERIC Educational Resources Information Center

Chretien, Wendy

2007-01-01

The residential services group is lobbying to dump its aging hard-wired phone system because students don't use it. The town and campus public safety officials are demanding that their portable two-way radios operate well not only outdoors, but within campus buildings. Students are now expecting text messaging and WiFi service to work everywhere…

Understanding residential location choices for climate change and transportation decision making : phase 2 report.

DOT National Transportation Integrated Search

2015-02-01

This research builds on the related Phase 1 project. In this second phase, we continue to : study neighborhood and housing preferences that shape the residential location decision process. An : online experimental survey tool is developed to investig...

Nanotechnology opportunities in residential and non-residential construction

Treesearch

Theodore H. Wegner; Jerrold E. Winandy; Michael A. Ritter

2005-01-01

Over 1.9 × 106 housing units are constructed in the United States in 2004. On a volume basis, wood products comprise almost 80% of all materials used in residential housing. It is estimated that over 7 × 109 m3 of lumber have gone into structures in the United States over the last century. Half of the wood products now used in construction are engineered wood...

Institutional racism and pregnancy health: using Home Mortgage Disclosure act data to develop an index for Mortgage discrimination at the community level.

PubMed

Mendez, Dara D; Hogan, Vijaya K; Culhane, Jennifer

2011-01-01

We used Home Mortgage Disclosure Act (HMDA) data to demonstrate a method for constructing a residential redlining index to measure institutional racism at the community level. We examined the application of the index to understand the social context of health inequities by applying the residential redlining index among a cohort of pregnant women in Philadelphia. We used HMDA data from 1999-2004 to create residential redlining indices for each census tract in Philadelphia County, Pennsylvania. We linked the redlining indices to data from a pregnancy cohort study and the 2000 Census. We spatially mapped the levels of redlining for each census tract for this pregnancy cohort and tested the association between residential redlining and other community-level measures of segregation and individual health. From 1999-2004, loan applicants in Philadelphia County, Pennsylvania, of black race/ethnicity were almost two times as likely to be denied a mortgage loan compared with applicants who were white (e.g., 1999 odds ratio [OR] = 2.00, 95% confidence interval [CI] 1.63, 2.28; and 2004 OR=2.26, 95% CI 1.98, 2.58). The majority (77.5%) of the pregnancy cohort resided in redlined neighborhoods, and there were significant differences in residence in redlined areas by race/ethnicity (p<0.001). Among the pregnancy cohort, redlining was associated with residential segregation as measured by the percentage of black population (r=0.155), dissimilarity (r=0.250), exposure (r=-0.115), and isolation (r=0.174) indices. The evidence of institutional racism may contribute to our understanding of health disparities. Residential redlining and mortgage discrimination against communities may be a major factor influencing neighborhood structure, composition, development, and wealth attainment. This residential redlining index as a measure for institutional racism can be applied in health research to understand the unique social and neighborhood contexts that contribute to health inequities.

Institutional Racism and Pregnancy Health: Using Home Mortgage Disclosure Act Data to Develop an Index for Mortgage Discrimination at the Community Level

PubMed Central

Mendez, Dara D.; Hogan, Vijaya K.; Culhane, Jennifer

2011-01-01

Objectives We used Home Mortgage Disclosure Act (HMDA) data to demonstrate a method for constructing a residential redlining index to measure institutional racism at the community level. We examined the application of the index to understand the social context of health inequities by applying the residential redlining index among a cohort of pregnant women in Philadelphia. Methods We used HMDA data from 1999–2004 to create residential redlining indices for each census tract in Philadelphia County, Pennsylvania. We linked the redlining indices to data from a pregnancy cohort study and the 2000 Census. We spatially mapped the levels of redlining for each census tract for this pregnancy cohort and tested the association between residential redlining and other community-level measures of segregation and individual health. Results From 1999–2004, loan applicants in Philadelphia County, Pennsylvania, of black race/ethnicity were almost two times as likely to be denied a mortgage loan compared with applicants who were white (e.g., 1999 odds ratio [OR] = 2.00, 95% confidence interval [CI] 1.63, 2.28; and 2004 OR=2.26, 95% CI 1.98, 2.58). The majority (77.5%) of the pregnancy cohort resided in redlined neighborhoods, and there were significant differences in residence in redlined areas by race/ethnicity (p<0.001). Among the pregnancy cohort, redlining was associated with residential segregation as measured by the percentage of black population (r=0.155), dissimilarity (r=0.250), exposure (r=–0.115), and isolation (r=0.174) indices. Conclusions The evidence of institutional racism may contribute to our understanding of health disparities. Residential redlining and mortgage discrimination against communities may be a major factor influencing neighborhood structure, composition, development, and wealth attainment. This residential redlining index as a measure for institutional racism can be applied in health research to understand the unique social and neighborhood contexts that contribute to health inequities. PMID:21836743

CHARACTERIZATION OF RESIDENTIAL EXPOSURE TO CHLORPYRIFOS AND DIAZINON

EPA Science Inventory

Exposures to chlorpyrifos and diazinon in residential microenvironment in AZ were estimated using the indirect method of exposure calculation by combining measured concentrations in multiple media with time subjects spent indoors, dietary and non-dietary items they consumed, an...

Non-intrusive appliance monitor apparatus

DOEpatents

Hart, George W.; Kern, Jr., Edward C.; Schweppe, Fred C.

1989-08-15

A non-intrusive monitor of energy consumption of residential appliances is described in which sensors, coupled to the power circuits entering a residence, supply analog voltage and current signals which are converted to digital format and processed to detect changes in certain residential load parameters, i.e., admittance. Cluster analysis techniques are employed to group change measurements into certain categories, and logic is applied to identify individual appliances and the energy consumed by each.

The impact of changes in distress tolerance on PTSD symptom severity post-treatment among veterans in residential trauma treatment.

PubMed

Banducci, Anne N; Connolly, Kevin M; Vujanovic, Anka A; Alvarez, Jennifer; Bonn-Miller, Marcel O

2017-04-01

Given that rates of PTSD, particularly among military populations, are increasing, it is critical to gain a better understanding of factors associated with treatment response. Low distress tolerance (DT), conceptualized as the perceived or actual inability to tolerate negative emotional states, may impacts veterans' responses to PTSD treatment. Low DT has been associated with more severe PTSD symptoms in clinical and non-clinical samples; however, its impact on PTSD symptomatology across treatment has yet to be assessed. We examined the impact of changes in DT, from intake to discharge, on post-treatment PTSD symptom severity within two samples of veterans recruited from Veterans Affairs residential PTSD treatment facilities in the northwestern and southern United States (Total N=86; 87% male; 46% White, 39% Black, 9% Latino, 6% Other). Veterans completed the Distress Tolerance Scale and PTSD Checklist (PCL) at intake and discharge from residential PTSD treatment. Regression analyses revealed that, within each veteran sample, those with the greatest improvements in DT had the lowest PCL total and subscale scores at discharge after controlling for respective intake PCL scores. This suggests increases in DT across treatment help explain the degree of benefits experienced by veterans following PTSD treatment. Published by Elsevier Ltd.

Children With Intellectual Disability and Hospice Utilization: The Moderating Effect of Residential Care.

PubMed

Lindley, Lisa C

2017-01-01

Children with intellectual disability commonly lack access to pediatric hospice care services. Residential care may be a critical component in providing access to hospice care for children with intellectual disability. This research tested whether residential care intensifies the relationship between intellectual disability and hospice utilization (ie, hospice enrollment, hospice length of stay), while controlling for demographic characteristics. Multivariate regression analyses were conducted using 2008 to 2010 California Medicaid claims data. The odds of children with intellectual disability in residential care enrolling in hospice care were 3 times higher than their counterparts in their last year of life, when controlling for demographics. Residential care promoted hospice enrollment among children with intellectual disability. The interaction between intellectual disability and residential care was not related to hospice length of stay. Residential care did not attenuate or intensify the relationship between intellectual disability and hospice length of stay. The findings highlight the important role of residential care in facilitating hospice enrollment for children with intellectual disability. More research is needed to understand the capability of residential care staff to identify children with intellectual disability earlier in their end-of-life trajectory and initiate longer hospice length of stays.

TVA's photovoltaic activities

NASA Astrophysics Data System (ADS)

Chinery, G. T.; Wood, J. M.

1985-08-01

This paper describes the Tennessee Valley Authority's (TVA) current photovoltaic (PV) activities. These include four roof-mounted 4 kWp residential arrays (which are also Southeast Residential Station field sites) and two 5-6 kWp commercial sites, all grid connected with no battery storage. Also included are approximately 30 kWp of non-grid-connected remote sites with storage (remote lighting, weather stations, etc.). Monitoring results from the two 'online' residential systems are presented. Finally, TVA's future PV plans are discussed, both with respect to interfacing with a multitude of residential and commercial cogenerators and with regard to possible TVA PV central station plans.

FUGACITY-BASED INDOOR RESIDENTIAL PESTICIDE FATE MODEL

EPA Science Inventory

Dermal and non-dietary pathways are possibly important for exposure to pesticides used in residences. Limited data have been collected on pesticide concentrations in residential air and surfaces following application. Models may be useful for interpreting these data and to make...

Technical Guide For Addressing Petroleum Vapor Intrusion At Leaking Underground Storage Tank Sites

EPA Pesticide Factsheets

This document is intended for use at any site subject to petroleum contamination from underground storage tanks where vapor intrusion may be of potential concern. It is applicable to both residential and non-residential settings.

Energy supply and demand modeling. February 1985-March 1988 (A Bibliography from the NTIS data base). Report for February 1985-March 1988

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1990-06-01

This bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (This updated bibliography contains 201 citations, none of which are new entries to the previous edition.)

Energy supply and demand modeling. February 1985-March 1988 (Citations from the NTIS data base). Report for February 1985-March 1988

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1988-04-01

This bibliography contains citations concerning the utilization of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long-term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (This updated bibliography contains 201 citations, 129 of which are new entries to the previous edition.)

Energy supply and demand modeling. April 1988-June 1990 (A Bibliography from the NTIS data base). Report for April 1988-June 1990

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1990-06-01

This bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (This updated bibliography contains 200 citations, all of which are new entries to the previous edition.)

Charge scheduling of an energy storage system under time-of-use pricing and a demand charge.

PubMed

Yoon, Yourim; Kim, Yong-Hyuk

2014-01-01

A real-coded genetic algorithm is used to schedule the charging of an energy storage system (ESS), operated in tandem with renewable power by an electricity consumer who is subject to time-of-use pricing and a demand charge. Simulations based on load and generation profiles of typical residential customers show that an ESS scheduled by our algorithm can reduce electricity costs by approximately 17%, compared to a system without an ESS and by 8% compared to a scheduling algorithm based on net power.

Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge

PubMed Central

Yoon, Yourim

2014-01-01

A real-coded genetic algorithm is used to schedule the charging of an energy storage system (ESS), operated in tandem with renewable power by an electricity consumer who is subject to time-of-use pricing and a demand charge. Simulations based on load and generation profiles of typical residential customers show that an ESS scheduled by our algorithm can reduce electricity costs by approximately 17%, compared to a system without an ESS and by 8% compared to a scheduling algorithm based on net power. PMID:25197720

Urban Poverty and Neighborhood Effects on Crime: Incorporating Spatial and Network Perspectives

PubMed Central

Graif, Corina; Gladfelter, Andrew S.; Matthews, Stephen A.

2015-01-01

Research on neighborhoods and crime is on a remarkable growth trajectory. In this article, we survey important recent developments in the scholarship on neighborhood effects and the spatial stratification of poverty and urban crime. We advance the case that, in understanding the impact of neighborhoods and poverty on crime, sociological and criminological research would benefit from expanding the analytical focus from residential neighborhoods to the network of neighborhoods individuals are exposed to during their daily routine activities. This perspective is supported by reemerging scholarship on activity spaces and macro-level research on inter-neighborhood connections. We highlight work indicating that non-residential contexts add variation in criminogenic exposure, which in turn influence offending behavior and victimization risk. Also, we draw on recent insights from research on gang violence, social and institutional connections, and spatial mismatch, and call for advancements in the scholarship on urban poverty that investigates the salience of inter-neighborhood connections in evaluating the spatial stratification of criminogenic risk for individuals and communities. PMID:27375773

Understanding how low-socioeconomic status households cope with health shocks: An analysis of multi-sector linked data.

PubMed

Leonard, Tammy; Hughes, Amy E; Pruitt, Sandi L

2017-01-01

Low-socioeconomic status (SES) households have little income or wealth to buffer against the negative impacts of an adverse health event ( health shock ) among adult household members. However, these households may employ a variety of other coping strategies such as receiving help from family, friends, and social services. Administrative data from a non-profit food distribution center, electronic medical record (EMR) data from a safety-net healthcare system, and publicly available residential appraisal data were linked to provide insight into these coping strategies. Three broad types of coping strategies were examined: changes in household structure, residential mobility, and utilization of social services. Of 3,235 households, 20.2% had at least one adult member who experienced a health shock. These households were more likely to gain additional adult household members and employed household members, were more likely to move residence and to move distances greater than one mile, and were less likely to visit the food distribution center after the shock.

Organic contaminants in onsite wastewater treatment systems

USGS Publications Warehouse

Conn, K.E.; Siegrist, R.L.; Barber, L.B.; Brown, G.K.

2007-01-01

Wastewater from thirty onsite wastewater treatment systems was sampled during a reconnaissance field study to quantify bulk parameters and the occurrence of organic wastewater contaminants including endocrine disrupting compounds in treatment systems representing a variety of wastewater sources and treatment processes and their receiving environments. Bulk parameters ranged in concentrations representative of the wide variety of wastewater sources (residential vs. non-residential). Organic contaminants such as sterols, surfactant metabolites, antimicrobial agents, stimulants, metal-chelating agents, and other consumer product chemicals, measured by gas chromatography/mass spectrometry were detected frequently in onsite system wastewater. Wastewater composition was unique between source type likely due to differences in source water and chemical usage. Removal efficiencies varied by engineered treatment type and physicochemical properties of the contaminant, resulting in discharge to the soil treatment unit at ecotoxicologically-relevant concentrations. Organic wastewater contaminants were detected less frequently and at lower concentrations in onsite system receiving environments. Understanding the occurrence and fate of organic wastewater contaminants in onsite wastewater treatment systems will aid in minimizing risk to ecological and human health.

Using Machine Learning and Data Analysis to Improve Customer Acquisition and Marketing in Residential Solar

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sigrin, Benjamin O

High customer acquisition costs remain a persistent challenge in the U.S. residential solar industry. Effective customer acquisition in the residential solar market is increasingly achieved with the help of data analysis and machine learning, whether that means more targeted advertising, understanding customer motivations, or responding to competitors. New research by the National Renewable Energy Laboratory, Sandia National Laboratories, Vanderbilt University, University of Pennsylvania, and the California Center for Sustainable Energy and funded through the U.S. Department of Energy's Solar Energy Evolution and Diffusion (SEEDS) program demonstrates novel computational methods that can help drive down costs in the residential solar industry.

Non-intrusive appliance monitor apparatus

DOEpatents

Hart, G.W.; Kern, E.C. Jr.; Schweppe, F.C.

1989-08-15

A non-intrusive monitor of energy consumption of residential appliances is described in which sensors, coupled to the power circuits entering a residence, supply analog voltage and current signals which are converted to digital format and processed to detect changes in certain residential load parameters, i.e., admittance. Cluster analysis techniques are employed to group change measurements into certain categories, and logic is applied to identify individual appliances and the energy consumed by each. 9 figs.

Consumer Decision Rules and Residential Finance.

ERIC Educational Resources Information Center

Brandt, Jeanette A.; Jaffe, Austin J.

1979-01-01

As guidelines for residential financing, the authors compare different approaches to understanding and figuring the costs of home ownership: the relation of income to house price and housing costs, interest rate, and mortgage term. Instead of the traditional method, they recommend the time value of money approach. (MF)

A Guide to Monitoring Residential Settings.

ERIC Educational Resources Information Center

Taylor, Steven J.

The guide provides some basic strategies and tools for monitoring residential settings--both institutions and community residences--for the quality of services provided to persons with developmental disabilities. An introductory chapter explains the purpose and layout of the document. Chapter II describes how to find and understand public…

Association between Activity Space Exposure to Food Establishments and Individual Risk of Overweight

PubMed Central

Kestens, Yan; Lebel, Alexandre; Chaix, Basile; Clary, Christelle; Daniel, Mark; Pampalon, Robert; Theriault, Marius; p Subramanian, S. V.

2012-01-01

Objective Environmental exposure to food sources may underpin area level differences in individual risk for overweight. Place of residence is generally used to assess neighbourhood exposure. Yet, because people are mobile, multiple exposures should be accounted for to assess the relation between food environments and overweight. Unfortunately, mobility data is often missing from health surveys. We hereby test the feasibility of linking travel survey data with food listings to derive food store exposure predictors of overweight among health survey participants. Methods Food environment exposure measures accounting for non-residential activity places (activity spaces) were computed and modelled in Montreal and Quebec City, Canada, using travel surveys and food store listings. Models were then used to predict activity space food exposures for 5,578 participants of the Canadian Community Health Survey. These food exposure estimates, accounting for daily mobility, were used to model self-reported overweight in a multilevel framework. Median Odd Ratios were used to assess the proportion of between-neighborhood variance explained by such food exposure predictors. Results Estimates of food environment exposure accounting for both residential and non-residential destinations were significantly and more strongly associated with overweight than residential-only measures of exposure for men. For women, residential exposures were more strongly associated with overweight than non-residential exposures. In Montreal, adjusted models showed men in the highest quartile of exposure to food stores were at lesser risk of being overweight considering exposure to restaurants (OR = 0.36 [0.21–0.62]), fast food outlets (0.48 [0.30–0.79]), or corner stores (0.52 [0.35–0.78]). Conversely, men experiencing the highest proportion of restaurants being fast-food outlets were at higher risk of being overweight (2.07 [1.25–3.42]). Women experiencing higher residential exposures were at lower risk of overweight. Conclusion Using residential neighbourhood food exposure measures may underestimate true exposure and observed associations. Using mobility data offers potential for deriving activity space exposure estimates in epidemiological models. PMID:22936974

Nitrate in shallow groundwater associated with residential land use in central Florida.

PubMed

Tucker, W A; Diblin, M C; Mattson, R A; Hicks, R W; Wang, Y

2014-03-01

The primary objective of this study was to quantify the effects of residential fertilizer use on groundwater quality, which have not been well defined by field-scale investigations. Concentrations of constituents associated with fertilizer use were monitored in shallow groundwater in residential areas in Orange and Seminole Counties of Central Florida. The study area is within the Wekiva River basin, a river that is primarily spring fed. Sampling locations were selected to represent land in residential use for more than 5 yr and to avoid septic systems and areas recently used for citrus production. Twenty-six wells were installed in the surficial aquifer, screened within approximately 3 m of the water table, which was encountered between 0.3 and 11.5 m below land surface. Of these wells, 24 were in residential areas, scattered over an area of about 2600 ha, and two were in nearby undeveloped areas. Samples were collected four times between October 2008 and July 2009. Concentrations of nitrate plus nitrite nitrogen (NO-N) averaged 2.0 ± 0.2 mg L in the residential areas and were significantly higher ( < 0.01) than observed in undeveloped areas (0.3 ± 0.1 mg L). Groundwater was also analyzed for stable isotopes of nitrogen and oxygen and has been analyzed for bacteria (by others), which corroborated that these wells were not affected by human or animal waste. Levels of NO-N in the residential areas are primarily attributed to residential fertilizer use, considering the control for and exclusion of other plausible sources. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Storm runoff quality and pollutant loading from commercial, residential, and industrial catchments in the tropic.

PubMed

Chow, M F; Yusop, Z; Shirazi, S M

2013-10-01

Information on the pollution level and the influence of hydrologic regime on the stormwater pollutant loading in tropical urban areas are still scarce. More local data are still required because rainfall and runoff generation processes in tropical environment are very different from the temperate regions. This study investigated the extent of urban runoff pollution in residential, commercial, and industrial catchments in the south of Peninsular Malaysia. Stormwater samples and flow rate data were collected from 51 storm events. Samples were analyzed for total suspended solids, 5-day biochemical oxygen demand, chemical oxygen demand, oil and grease (O&G), nitrate nitrogen (NO3-N), nitrite nitrogen, ammonia nitrogen, soluble reactive phosphorus, total phosphorus (TP), and zinc (Zn). It was found that the event mean concentrations (EMCs) of pollutants varied greatly between storm characteristics and land uses. The results revealed that site EMCs for residential catchment were lower than the published data but higher for the commercial and industrial catchments. All rainfall variables were negatively correlated with EMCs of most pollutants except for antecedent dry days (ADD). This study reinforced the earlier findings on the importance of ADD for causing greater EMC values with exceptions for O&G, NO3-N, TP, and Zn. In contrast, the pollutant loadings are influenced primarily by rainfall depth, mean intensity, and max 5-min intensity in all the three catchments. Overall, ADD is an important variable in multiple linear regression models for predicting the EMC values in the tropical urban catchments.

Rainwater utilization and storm pollution control based on urban runoff characterization.

PubMed

Zhang, Mulan; Chen, Hao; Wang, Jizhen; Pan, Gang

2010-01-01

The characteristics of urban runoffs and their impact on rainwater utilization and storm pollution control were investigated in three different functional areas of Zhengzhou City, China. The results showed that in the same rain event the pollutant loads (chemical oxygen demand (COD) and total suspended solids (TSS)) in the sampling areas were in the order of industrial area > commercial area > residential area, and within the same area the COD and TSS concentrations of road runoffs were higher than those of roof runoffs. The first flush effects in roof and road runoffs were observed, hence the initial rainwater should be treated separately to reduce rainwater utilization cost and control storm pollution. The initial roof rainfall of 2 mm in residential area, 5 mm in commercial area and 10 mm in industrial area, and the initial road rainfall of 4 mm in residential area and all the road rainfall in commercial and industrial areas should be collected and treated accordingly before direct discharge or utilization. Based on the strong correlation between COD and TSS (R2, 0.87-0.95) and the low biodegradation capacity (biochemical oxygen demand BOD5/COD < 0.3), a sedimentation process and an effective filtration system composed of soil and slag were designed to treat the initial rainwater, which could remove over 90% of the pollutant loads. The above results may help to develop better rainwater utilization and pollution control strategies for cities with water shortages.

Pollutant loading from low-density residential neighborhoods in California.

PubMed

Bale, Andrew E; Greco, Steven E; Pitton, Bruno J L; Haver, Darren L; Oki, Lorence R

2017-08-01

This paper presents a comparison of pollutant load estimations for runoff from two geographically distinct residential suburban neighborhoods in northern and southern California. The two neighborhoods represent a single urban land use type: low-density residential in small catchments (<0.3 km 2 ) under differing regional climates and irrigation practices. Pollutant loads of pesticides, nutrients, and drinking water constituents of concern are estimated for both storm and non-storm runoff. From continuous flow monitoring, it was found that a daily cycle of persistent runoff that peaks mid-morning occurs at both sites. These load estimations indicate that many residential neighborhoods in California produce significant non-storm pollutant loads year-round. Results suggest that non-storm flow accounted for 47-69% of total annual runoff and significantly contributed to annual loading rates of most nutrients and pesticides at both sites. At the Southern California site, annual non-storm loads are 1.2-10 times higher than storm loads of all conventional constituents and nutrients with one exception (total suspended solids). At the Northern California site, annual storm loads range from 51 to 76% of total loads for all conventional constituents and nutrients with one exception (total dissolved solids). Non-storm yields of pesticides at the Southern California site range from 1.3-65 times higher than those at the Northern California site. The disparity in estimated pollutant loads between the two sites indicates large potential variation from site-to-site within the state and suggests neighborhoods in drier and milder climates may produce significantly larger non-storm loads due to persistent dry season runoff and year-round pest control.

Drivers of U.S. Household Energy Consumption, 1980-2009

EIA Publications

2015-01-01

In 2012, the residential sector accounted for 21% of total primary energy consumption and about 20% of carbon dioxide emissions in the United States (computed from EIA 2013). Because of the impacts of residential sector energy use on the environment and the economy, this study was undertaken to help provide a better understanding of the factors affecting energy consumption in this sector. The analysis is based on the U.S. Energy Information Administration's (EIA) residential energy consumption surveys (RECS) 1980-2009.

Practical results of heat conservation in a housing estate scale-actions implemented by the Pradnik-Bialy-Zachod housing cooperative in Cracow

DOE Office of Scientific and Technical Information (OSTI.GOV)

Piotrowski, L.

1995-12-31

There are 11,600,000 apartments occupied in Poland. More than 7,700,000 of these apartments are located in towns. Energy consumption for heating, ventilation and district hot water in residential housing reaches 40% of the national power balance. A portion of district heat distribution and relatively low energy efficiency is characteristic for Polish residential housing. Seventy five percent of apartments in towns are provided with central heating installations and 55% of the entire heat demand in Polish buildings is covered by district heating systems. The total installed heat power of these systems reaches 46,000 MW. The situation with regard to conservation inmore » Polish residential housing is directly related to the legacy of central planning of the national economy and to the current phase of its re-organization to the market-oriented system. The standard value of the overall heat-transfer coefficient for external walls in Poland until 1980 was 1.16 W/m{sup 2}K; at present it is reduced to 0.55 W/m{sup 2}K. There are numerous reasons for the low energy efficiency in residential housing. These reasons are discussed.« less

Tax and Expenditure Limitation in Retrospect and in Prospect.

ERIC Educational Resources Information Center

Shapiro, Perry; And Others

1979-01-01

The message of Proposition 13 appears to be a demand for smaller residential property tax burdens but not for a reduction in current service levels for most public sector activities. Available from Stanley J. Bowers, Executive Director, NTA-TIA, 21 East State Street, Columbus, OH 43215; sc $5.00. (Author/IRT)

Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings

PubMed Central

Grygierek, Krzysztof; Ferdyn-Grygierek, Joanna

2018-01-01

An inappropriate indoor climate, mostly indoor temperature, may cause occupants’ discomfort. There are a great number of air conditioning systems that make it possible to maintain the required thermal comfort. Their installation, however, involves high investment costs and high energy demand. The study analyses the possibilities of limiting too high a temperature in residential buildings using passive cooling by means of ventilation with ambient cool air. A fuzzy logic controller whose aim is to control mechanical ventilation has been proposed and optimized. In order to optimize the controller, the modified Multiobjective Evolutionary Algorithm, based on the Strength Pareto Evolutionary Algorithm, has been adopted. The optimization algorithm has been implemented in MATLAB®, which is coupled by MLE+ with EnergyPlus for performing dynamic co-simulation between the programs. The example of a single detached building shows that the occupants’ thermal comfort in a transitional climate may improve significantly owing to mechanical ventilation controlled by the suggested fuzzy logic controller. When the system is connected to the traditional cooling system, it may further bring about a decrease in cooling demand. PMID:29642525

Implementing Non-violent Resistance, a Method to Cope with Aggression in Child and Adolescent Residential Care: Exploration of Staff Members Experiences.

PubMed

van Gink, Kirsten; Visser, Katharina; Popma, Arne; Vermeiren, Robert R J M; van Domburgh, Lieke; van der Stegen, Ber; Jansen, Lucres M C

2018-06-01

Staff members in residential care for youth are frequently confronted with aggressive behaviour, which has adverse effects on their stress levels and work satisfaction. This paper describes a qualitative evaluation to find out how staff members benefit from Non-violent Resistance (NVR), a method to create an aggression mitigating residential climate. Staff members were positive about NVR and reported feeling more relaxed. Most valued aspects of this method were the focus on being a team, delayed response and giving up the illusion of control. However, training and the intention to use NVR isn't enough, high quality implementation and maintenance are crucial. Copyright © 2017 Elsevier Inc. All rights reserved.

Organizational factors related to occupational accidents in construction.

PubMed

Filho, J M Jackson; Fonseca, E D; Lima, F P A; Duarte, F J C M

2012-01-01

The purpose of this paper is to understand the influence of organizational factors on occupational accident causation. A field study was undertaken and focused on the phase of concreting the floors of a residential block in a building project in Brazil. The methodological approach was based on the analysis of carpenters' work practices and of the workers' accounts of minor falls. Observations were noted on work practices over this stage. Furthermore, interviews were conducted with the workers hired by the subcontractors and with professionals working for the main contractor. The results show that falls were related to the introduction of new building technology and its use by the workforce. The production planning and organization of activities by the subcontracted firms also led to temporary demands that were additional determining factors for falls on site. The work analysis reveals the need to consider organizational factors in prevention practices.

Compact or spread? A quantitative spatial model of urban areas in Europe since 1990

PubMed Central

Haase, Dagmar; Haase, Annegret

2018-01-01

Changes in urban residential density represent an important issue in terms of land consumption, the conservation of ecosystems, air quality and related human health problems, as well as the consequential challenges for urban and regional planning. It is the decline of residential densities, in particular, that has often been used as the very definition of sprawl, describing a phenomenon that has been extensively studied in the United States and in Western Europe. Whilst these studies provide valuable insights into urbanization processes, only a handful of them have reflected the uneven dynamics of simultaneous urban growth and shrinkage, using residential density changes as a key indicator to uncover the underlying dynamics. This paper introduces a contrasting analysis of recent developments in both de- and re-concentration, defined as decreasing or increasing residential densities, respectively. Using a large sample of European cities, it detects differences in density changes between successional population growth/decline. The paper shows that dedensification, found in some large cities globally, is not a universal phenomenon in growing urban areas; neither the increasing disproportion between a declining demand for and an increasing supply of residential areas nor actual concentration processes in cities were found. Thus, the paper provides a new, very detailed perspective on (de)densification in both shrinking and growing cities and how they specifically contribute to current land take in Europe. PMID:29489851

Community residential facilities in mental health services: A ten-year comparison in Lombardy.

PubMed

Barbato, Angelo; Civenti, Graziella; D'Avanzo, Barbara

2017-06-01

Residential mental health services grew steadily since 2000 in Italy. A reorganisation of residential facilities was implemented in 2007 in Lombardy, introducing supported housing in addition to staffed facilities. We compare the provision and characteristics of residential facilities in the 2007 and 2016. In 2007 there were 3462 beds (35.9/100,000 population) in 276 facilities. In 2016 beds were 4783 (47.8/100,000) in 520 facilities. The increase were unevenly distributed in the public and private sector, and the overall increase was due to a higher increase in the private sector. 72% of beds were in highly supervised facilities in 2007 and 66% in 2016. The public sector managed more facilities with a rehabilitation goal, while the private sector more for long-term accommodation. Mean numbers of beds were higher in facilities managed by the private sector in both years. The 2007 reorganisation and the stop to opening new facilities in the last years were not enough to correct the imbalance between highly supervised and flexible solutions. A wider and more diverse offer might have triggered off an increased demand, rather than a more rational use. Given the costs of highly staffed facilities, and the risk of reproducing custodial models, close evaluation of the use of residential facilities should inform policies. Copyright © 2017 Elsevier B.V. All rights reserved.

Compact or spread? A quantitative spatial model of urban areas in Europe since 1990.

PubMed

Wolff, Manuel; Haase, Dagmar; Haase, Annegret

2018-01-01

Changes in urban residential density represent an important issue in terms of land consumption, the conservation of ecosystems, air quality and related human health problems, as well as the consequential challenges for urban and regional planning. It is the decline of residential densities, in particular, that has often been used as the very definition of sprawl, describing a phenomenon that has been extensively studied in the United States and in Western Europe. Whilst these studies provide valuable insights into urbanization processes, only a handful of them have reflected the uneven dynamics of simultaneous urban growth and shrinkage, using residential density changes as a key indicator to uncover the underlying dynamics. This paper introduces a contrasting analysis of recent developments in both de- and re-concentration, defined as decreasing or increasing residential densities, respectively. Using a large sample of European cities, it detects differences in density changes between successional population growth/decline. The paper shows that dedensification, found in some large cities globally, is not a universal phenomenon in growing urban areas; neither the increasing disproportion between a declining demand for and an increasing supply of residential areas nor actual concentration processes in cities were found. Thus, the paper provides a new, very detailed perspective on (de)densification in both shrinking and growing cities and how they specifically contribute to current land take in Europe.

Impacts of Urbanization on Water Use and Energy-related CO2 Emissions of Residential Consumption in China: A Spatio-temporal Analysis during 2003-2012

NASA Astrophysics Data System (ADS)

Cai, J.; Yin, H.; Varis, O.

2017-12-01

China has been undergoing unprecedented urbanization since the 1978 economic reform, especially with the present growth rate for the last decade at approximately 20 million people per year. This rapid and perennial progress has been raising soaring concerns on environmental sustainability, due to a severe nationwide deterioration of China's environment and ecosystems in the context of ceaselessly increasing demand for water and energy. It is therefore of prime necessity and importance to comprehend China's water and energy security under the effect of its dramatic demographic changes. Analyses of this issue still remain few and far between, and a comprehensive picture has not been available that would help understand China's recent development in urbanization, its spatial features and links to water and energy security, particularly regarding residential consumption, as well as national policy-making in the context of its water-energy nexus. Consequently, we addressed these knowledge gaps by performing an integrated and quantitative spatio-temporal analysis of the impacts of China's urbanization on water use of residential consumption (WURC) and energy-related CO2 emissions of residential consumption (ERCERC). We proposed per capita WURC and per capita ERCERC as potential national indicators for policy-making targets of its water and energy security. Our study, conducted over the period 2003-2012, for the first time demonstrated strong evidence of the significant impacts of China's urbanization on WURC and ERCERC. Its highlights can be portrayed as follows: (1) rural areas dominated per capita WURC at both national and provincial scales, with a significant increasing trend, while WURC share and per capita WURC in urban areas decreased, despite the fact that the urban population was soaring; (2) per capita ERCERC was significantly augmented in both urban and rural areas nationwide; and (3) per capita WURC and per capita ERCERC had a significant positive correlation, so did rural per capita WURC and per capita ERCERC, however, urban per capita WURC and per capita ERCERC manifested a significant negative correlation.

Youth Expectations about Therapeutic Alliance in a Residential Setting

ERIC Educational Resources Information Center

Manso, Ana; Rauktis, Mary Elizabeth; Boyd, A. Suzanne

2008-01-01

This exploratory study used qualitative methods to better understand how youths in a residential setting perceive their relationships with the counselors. Using focus group methodology, the study focused on how youth describe the relationship, what staff qualities the youth are able to identify as important in engaging and maintaining the…

Relationship Between PM2.5 Collected at Residential Outdoor Locations and a Central Site

EPA Science Inventory

Regression models are developed to describe the relationship between ambient PM_2.5 (particulate matter [PM] ≤ _2.5 μm in aerodynamic diameter) mass concentrations measured at a central-site monitor with those at residential outdoor monitors. Understanding the...

Factors Influencing Residents' Satisfaction in Residential Aged Care

ERIC Educational Resources Information Center

Chou, Shu-Chiung; Boldy, Duncan P.; Lee, Andy H.

2003-01-01

Purpose: The aim of this study was to identify the important factors influencing residents' satisfaction in residential aged care and to provide a better understanding of their interrelationships. Design and Methods: A cross-sectional survey design was used to collect the required information, including resident satisfaction, resident dependency…

Environmental Assessment for Replacement of the Main Gate Facility at New Boston Air Force Station, New Hampshire

DTIC Science & Technology

2015-01-01

rural portions of the towns of New Boston, Amherst, and Mont Vernon. The area is primarily designated for low- density residential use (USAF 2001...quiet outdoor and residential areas (EPA 1974). For protection against hearing loss in the general population from non-impulsive noise, the EPA guideline...rural with interspersed forests and residential areas. Land cover on the station is consistent with the surrounding area, and much of the habitat

Environmental Assessment for Replacement of the Main Gate Facility at New Boston Air Force Station, New Hampshire

DTIC Science & Technology

2015-01-01

portions of the towns of New Boston, Amherst, and Mont Vernon. The area is primarily designated for low- density residential use (USAF 2001). Single...and residential areas (EPA 1974). For protection against hearing loss in the general population from non-impulsive noise, the EPA guideline...interspersed forests and residential areas. Land cover on the station is consistent with the surrounding area, and much of the habitat present on

Virginia | Midmarket Solar Policies in the United States | Solar Research |

Science.gov Websites

rates. System size limit: Residential 20 kW, non-residential 1 MW, agricultural 500 kW. New agricultural : Agricultural customers can aggregate electric meters into a single account up to 500 kW; not addressed for

The role of production and teamwork practices in construction safety: a cognitive model and an empirical case study.

PubMed

Mitropoulos, Panagiotis Takis; Cupido, Gerardo

2009-01-01

In construction, the challenge for researchers and practitioners is to develop work systems (production processes and teams) that can achieve high productivity and high safety at the same time. However, construction accident causation models ignore the role of work practices and teamwork. This study investigates the mechanisms by which production and teamwork practices affect the likelihood of accidents. The paper synthesizes a new model for construction safety based on the cognitive perspective (Fuller's Task-Demand-Capability Interface model, 2005) and then presents an exploratory case study. The case study investigates and compares the work practices of two residential framing crews: a 'High Reliability Crew' (HRC)--that is, a crew with exceptional productivity and safety over several years, and an average performing crew from the same company. The model explains how the production and teamwork practices generate the work situations that workers face (the task demands) and affect the workers ability to cope (capabilities). The case study indicates that the work practices of the HRC directly influence the task demands and match them with the applied capabilities. These practices were guided by the 'principle' of avoiding errors and rework and included work planning and preparation, work distribution, managing the production pressures, and quality and behavior monitoring. The Task Demand-Capability model links construction research to a cognitive model of accident causation and provides a new way to conceptualize safety as an emergent property of the production practices and teamwork processes. The empirical evidence indicates that the crews' work practices and team processes strongly affect the task demands, the applied capabilities, and the match between demands and capabilities. The proposed model and the exploratory case study will guide further discovery of work practices and teamwork processes that can increase both productivity and safety in construction operations. Such understanding will enable training of construction foremen and crews in these practices to systematically develop high reliability crews.

Residential mobility and trajectories of adiposity among adolescents in urban and non-urban neighborhoods.

PubMed

Jones, Antwan

2015-04-01

Using data from the 1994-2008 National Longitudinal Study of Adult Health (Add Health), this research examines the relationship between residential mobility and weight gain over time among urban and non-urban young adults. It is theorized that changes in residence act as a barrier to achieving an active lifestyle, which would increase an individual's body mass index (BMI) over time. Relying on linear mixed-effects growth curve models, the results indicate that mobility is protective against weight gain over time after controlling for sociodemographic characteristics. For young adults who are residentially stable in urban neighborhoods, increases in physical activity are associated with a linear decline in BMI. In non-urban areas where respondents are residentially mobile, body weight does not fluctuate as sedentary behavior increases. However, in those areas, weight increases as sedentary behavior increases for those who did not move. Overall, the results suggest that the effect of mobility on weight gain is partially due to the kind of health behaviors that one engages in as well as whether or not one lives in an urban area. Policies geared toward relocating residents (such as Moving to Opportunity), and neighborhood processes that can lead individuals to change residences (such as foreclosures or gentrification) may have adverse health effects depending on whether they are occurring in urban or non-urban areas.

Quality in residential care from the perspective of people living with dementia: The importance of personhood.

PubMed

Milte, R; Shulver, W; Killington, M; Bradley, C; Ratcliffe, J; Crotty, M

2016-01-01

Providing quality care for people with dementia to meet the growing demand for services is a significant challenge to Australia and globally. When it comes to planning for current and future care needs, limited information is available on what people living with dementia and their family members consider the meaning of "quality" in residential care services. To describe the meaning of quality residential care from the perspective of people with cognitive impairment and their family members. Qualitative data collection via in-depth interviews and focus groups was undertaken with people with dementia or cognitive impairment living in residential care or the community (n=15), and family members of people with dementia (n=26). Thematic analysis was undertaken to identify key themes. The theme of supporting personhood was identified as the overarching concept of importance to both people with dementia and their family members and as the foundation for quality care. There were subtle differences in how this concept was expressed by people with dementia themselves and their family members. However, for both groups, access to meaningful activities and opportunities to feel useful and valued were identified as important ways to support personhood in residential care. Separate to this theme of personhood, family members also talked about the importance of a supportive physical environment in the care home, while for the people with dementia themselves maintaining a connection with family was an important contributor to their experience of good quality residential care. Supporting personhood was identified as a critical key concept underpinning quality residential aged care, from the perspective of both people with cognitive impairment and their family members. This highlights the important contribution that the psychological and social characteristics of care make to providing a good quality residential care experience from the perspective of consumers with dementia. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Exploring efficacy of residential energy efficiency programs in Florida

NASA Astrophysics Data System (ADS)

Taylor, Nicholas Wade

Electric utilities, government agencies, and private interests in the U.S. have committed and continue to invest substantial resources in the pursuit of energy efficiency and conservation through demand-side management (DSM) programs. Program investments, and the demand for impact evaluations that accompany them, are projected to grow in coming years due to increased pressure from state-level energy regulation, costs and challenges of building additional production capacity, fuel costs and potential carbon or renewable energy regulation. This dissertation provides detailed analyses of ex-post energy savings from energy efficiency programs in three key sectors of residential buildings: new, single-family, detached homes; retrofits to existing single-family, detached homes; and retrofits to existing multifamily housing units. Each of the energy efficiency programs analyzed resulted in statistically significant energy savings at the full program group level, yet savings for individual participants and participant subgroups were highly variable. Even though savings estimates were statistically greater than zero, those energy savings did not always meet expectations. Results also show that high variability in energy savings among participant groups or subgroups can negatively impact overall program performance and can undermine marketing efforts for future participation. Design, implementation, and continued support of conservation programs based solely on deemed or projected savings is inherently counter to the pursuit of meaningful energy conservation and reductions in greenhouse gas emissions. To fully understand and optimize program impacts, consistent and robust measurement and verification protocols must be instituted in the design phase and maintained over time. Furthermore, marketing for program participation must target those who have the greatest opportunity for savings. In most utility territories it is not possible to gain access to the type of large scale datasets that would facilitate robust program analysis. Along with measuring and optimizing energy conservation programs, utilities should provide public access to historical consumption data. Open access to data, program optimization, consistent measurement and verification and transparency in reported savings are essential to reducing energy use and its associated environmental impacts.

Supply-demand 3D dynamic model in water resources evaluation: taking Lebanon as an example

NASA Astrophysics Data System (ADS)

Fang, Hong; Hou, Zhimin

2017-05-01

In this paper, supply-demand 3D dynamic model is adopted to create a measurement of a region’s capacity to provide available water to meet the needs of its population. First of all, we draw a diagram between supply and demand. Then taking the main dynamic factors into account, we establish an index to evaluate the balance of supply and demand. The three dimension vector reflects the scarcity of industrial, agricultural and residential water. Lebanon is chosen as the object of case study, and we do quantitative analysis of its current situation. After data collecting and processing, we calculate the 3D vector in 2012, which reveals that agriculture is susceptible to water scarcity. Water resources of Lebanon are “physical rich” but “economic scarcity” according to the correlation chart and other statistical analysis.

Determinants of Occupational and Residential Functioning in Bipolar Disorder

PubMed Central

Depp, Colin A; Mausbach, Brent T; Bowie, Christopher; Wolyniec, Paula; Thornquist, Mary H.; Luke, James R.; McGrath, John A.; Pulver, Ann E.; Harvey, Philip D.; Patterson, Thomas L

2013-01-01

Background Bipolar disorder is associated with reduced rates of employment and residential independence. The influence of cognitive impairment and affective symptoms on these functional attainments has received little previous attention and is the focus of this study. Method A total of 229 adult outpatients with bipolar disorder without active substance use disorders and with an average of mild severity of affective symptoms were included in the analyses. After adjusting for sociodemographic and illness history covariates, univariate and multivariate analyses were used to evaluate the independent and interactive associations of neurocognitive ability, performance-based functional capacity, and affective symptom severity with residential independence, occupational status and number of hours worked. Results A total of 30% of the sample was unemployed and 18% were not independently residing. Neurocognitive ability was the strongest predictor of any employment, but depressive symptom severity was the only variable significantly related to hours worked. The strongest predictor of residential independence was performance-based functional capacity. Affective symptoms and neurocognitive ability were independent (non-interactive) predictors of occupational and residential status. Limitations This is a cross-sectional study and thus causal direction among variables is unknown. The sample was ethnically homogeneous and thus the results may not generalize to ethnically diverse samples. Conclusions This study confirmed elevated rates of unemployment and residential non-independence in adults with bipolar disorder. Interventions targeting cognitive deficits and functional capacity may increase the likelihood of any employment or residential independence, respectively. Interventions targeting depressive symptoms may be most influential on work outcomes among those already employed. PMID:22129770

EnviroAtlas - Domestic Water Demand by 12-Digit HUC for the Conterminous United States

EPA Pesticide Factsheets

This EnviroAtlas dataset includes domestic water demand attributes which provide insight into the amount of water currently used for indoor and outdoor residential purposes in the contiguous United States. The values are based on 2010 water demand and 2010 population distribution, and have been summarized by subwatershed, or 12-digit hydrologic unit code (HUC12). For the purposes of this metric, domestic water use includes residential uses, such as for drinking, bathing, cleaning, landscaping, and pools. Depending on the location, domestic water can be self-supplied, such as by private wells, or publicly-supplied, such as by municipalities. Sources include surface water and groundwater. Estimates are for primary residences only (i.e., excluding second homes and tourism rentals). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

δ(15)N and δ(18)O Reveal the Sources of Nitrate-Nitrogen in Urban Residential Stormwater Runoff.

PubMed

Yang, Yun-Ya; Toor, Gurpal S

2016-03-15

Nitrogen (N) sources are widely distributed in the complex urban environment. High-resolution data elucidating N sources in the residential catchments are not available. We used stable isotopes of N and oxygen (O) of nitrate (δ(18)O-NO3(-) and δ(15)N-NO3(-)) along with δ(18)O and hydrogen (δD) of water (H2O) to understand the sources and transformations of N in residential stormwater runoff. Stormwater runoff samples were collected over 25 stormwater events at 5 min intervals using an autosampler installed at the residential catchment outlet pipe that drained 31 low-density homes with a total drainage area of 0.11 km(2). Bayesian mixing model results indicated that atmospheric deposition (range 43-71%) and chemical N fertilizers (range <1-49%) were the dominant NO3-N sources in the stormwater runoff and that there was a continuum of source changes during the stormwater events. Further, the NO3-N transport in the stormwater runoff from the residential catchment was driven by mixing of multiple sources and biotic (i.e., nitrification) processes. This work suggests that a better understanding of N transport and sources is needed to reduce N export and improve water quality in urban water systems.

TESTING OF REFRIGERANT MIXTURES IN RESIDENTIAL HEAT PUMPS

EPA Science Inventory

The report gives results of an investigation of four possibilities for replacing Hydrochlorofluorocarbon-22 (HCFC-22) with the non-ozone-depleting new refrigerants R-407D and R-407C in residential heat pumps. The first and simplest scenario was a retrofit with no hardware modific...

WHERE THERE'S SMOKE: UNCOVERING THE BENEFITS OF A NON-RESIDENTIAL CANNABIS WITHDRAWAL.

PubMed

Kitson, Eleanor

2016-12-01

Drug and alcohol dependence continues to ignite the interest of the media. The 'epidemic' of methamphetamine use, the controversy of private residential rehabs and the burden of substance use on the healthcare system are prominent in the news and across social media.

Potential threat of heavy metals and PAHs in PM2.5 in different urban functional areas of Beijing

NASA Astrophysics Data System (ADS)

Gao, Yang; Guo, Xinyue; Ji, Hongbing; Li, Cai; Ding, Huaijian; Briki, Meryem; Tang, Lei; Zhang, Yan

2016-09-01

Beijing, as the capital of China, is one of the most populous cities in the world. With the fine particulate matter pollution being increasingly serious, daily exposure to hazardous ingredients caused more and more attention. Current research concerning risk evaluation in Beijing was relative less. In November, 2013, samples were collected in seven different functional areas of Beijing, so as to better understand the risk to human health caused by particle matter pollution in this region. PM2.5 pollution in rural and urban Beijing was relative high under haze-fog days in comparison with non haze-fog value. Zn and Ba showed the highest concentration levels among non-carcinogenic metals. The non-carcinogenic metal concentration at all the sites ranged in the same order: Ce, Pb, Cu, V and Sb. Higher ring PAHs (with four to six rings) were the dominant species and constituted more than 90% of the Σ14PAHs. Pb (4.34 × 10- 4 for men, 3.73 × 10- 4 for women) presented the maximum risk level for non-carcinogenic heavy metals in the whole study area. While, risk levels of Cr at residential areas, schools, Olympic Park and rural countryside exceeded the limit for adults. In haze-fog days, the carcinogenic PAH risk level in each functional area ranged in the order: rural countryside > inner suburban district > Olympic Park > city central > schools > ecological reserve > residential areas. To some extent, benzo(a)pyrene may had a potential risk to adults, and other carcinogenic PAHs were all under average risk acceptance.

Irish persons with intellectual disability moving from family care to residential accommodation in a period of austerity.

PubMed

McConkey, Roy; Kelly, Fionnola; Craig, Sarah; Keogh, Fiona

2018-02-09

Ireland has a growing population of adult persons living with family carers, thereby increasing the demand for residential places. Simultaneously, government policy aimed to reprovision residents living in congregated settings but at a time when funding was curtailed due to the economic crisis. This study examines the movements of people into and among three types of residential options between 2009 and 2014. A cohort of 20,163 persons recorded on the National Intellectual Disability Database in 2009 was identified and tracked to the 2014 database. An estimated 200 persons per annum (@1.6% of those living with families) moved from family care although the number of places available nationally fell by 9%. Moreover, transfers of existing residents into vacated places tended to exceed those from families. More people will have to continue living with their families and for longer if funding for new places remains curtailed. © 2018 John Wiley & Sons Ltd.

Management of urinary incontinence in residential care.

PubMed

Lim, David S

2016-07-01

Urinary incontinence is prevalent in residential care and rates are expected to increase with the ageing population in Australia. It contributes to poor quality of life (QoL), functional impairments in activities of daily living, and deterioration of mental and sexual health. Management depends on the type of incontinence, its aetiology, the severity of symptoms, the effects on QoL, and patient factors. Treatment options include active treatment and passive containment. However, not all active treatment options are feasible in residential care. There is little evidence to advise on standard best practice. The aims of this article are to review treatment options for urinary incontinence in residential care, feasibility of service delivery and challenges associated with this. A greater understanding of the issues surrounding the management of urinary incontinence in residential care is required to deliver satisfactory patient-centred care on a consistent basis.

Water quality modeling in the dead end sections of drinking water distribution networks.

PubMed

Abokifa, Ahmed A; Yang, Y Jeffrey; Lo, Cynthia S; Biswas, Pratim

2016-02-01

Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to water stagnation leads to rapid reduction of disinfectant residuals allowing the regrowth of microbial pathogens. Water quality models developed so far apply spatial aggregation and temporal averaging techniques for hydraulic parameters by assigning hourly averaged water demands to the main nodes of the network. Although this practice has generally resulted in minimal loss of accuracy for the predicted disinfectant concentrations in main water transmission lines, this is not the case for the peripheries of the distribution network. This study proposes a new approach for simulating disinfectant residuals in dead end pipes while accounting for both spatial and temporal variability in hydraulic and transport parameters. A stochastic demand generator was developed to represent residential water pulses based on a non-homogenous Poisson process. Dispersive solute transport was considered using highly dynamic dispersion rates. A genetic algorithm was used to calibrate the axial hydraulic profile of the dead-end pipe based on the different demand shares of the withdrawal nodes. A parametric sensitivity analysis was done to assess the model performance under variation of different simulation parameters. A group of Monte-Carlo ensembles was carried out to investigate the influence of spatial and temporal variations in flow demands on the simulation accuracy. A set of three correction factors were analytically derived to adjust residence time, dispersion rate and wall demand to overcome simulation error caused by spatial aggregation approximation. The current model results show better agreement with field-measured concentrations of conservative fluoride tracer and free chlorine disinfectant than the simulations of recent advection dispersion reaction models published in the literature. Accuracy of the simulated concentration profiles showed significant dependence on the spatial distribution of the flow demands compared to temporal variation. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Community Landscape Model of Pro-Environmental Behavior: The Effects of Landscape and Community Interaction on Residential Energy Behaviors in Two Pennsylvania Towns

NASA Astrophysics Data System (ADS)

Mainzer, Stephen P.

We are using more energy every year. Between 2001 and 2011, Pennsylvania residential electricity sales increased by two and a half times the number of new customers, accounting for almost one third of the state's total electricity consumption. Our ability to meet demand by acquiring new energy sources faces several challenges. Confusion surrounds the physical and economic accessibility of remaining fossil fuel sources. Immense land use requirements and subsequent environmental impacts challenge a total shift to renewable energy sources. The laws of thermodynamics limit the potential for new technology to efficiently convert raw energy to consumable sources. As a result, any rational strategy to meet future energy demands must involve conservation. Conservation is a pro-environmental behavior, an act intended to benefit the environment surrounding a person. I posit that a transdisciplinary model, the community landscape model of the pro-environmental behavior, unifies the conceptually analogous - yet disparate - fields of landscape, community, and behavior towards explaining residential energy conservation actions. Specifically, the study attempted to describe links between the physical environment, social environment, and conservation behaviors through a mixed-method framework. Two Pennsylvania townships - Spring and East Buffalo townships - were selected from an analysis of housing, electricity consumption, and land cover trends. Key informants from both townships informed the design of a survey instrument that captured the utility consumption, residential conservation actions, energy and environmental values, types and levels of community engagement, perceived barriers, and socio-demographic information from 107 randomly selected households. A mixed-method analysis produced evidence that place-based values and intention to participate in the community were significantly linked to lower utility consumption in households. People who cared deeply about their town were both more likely to attend community events and use less energy in their home. Other less significant examples of influences from the physical and social environments are presented in chapters 4 and 5.

The association between neighborhood residential rehabilitation and injection drug use in Baltimore, Maryland, 2000-2011

PubMed Central

Linton, Sabriya L.; Jennings, Jacky M.; Latkin, Carl A.; Kirk, Gregory D.; Mehta, Shruti H.

2014-01-01

This study utilized multilevel cross-classified models to longitudinally assess the association between neighborhood residential rehabilitation and injection drug use. We also assessed whether relocating between neighborhoods of varying levels of residential rehabilitation was associated with injection drug use. Residential rehabilitation was categorized into three groups (e.g. low, moderate, high), and lagged one visit to ensure temporality. After adjusting for neighborhood and individual-level factors, residence in a neighborhood with moderate residential rehabilitation was associated with a 23% reduction in injection drug use [AOR=0.77; 95% CI (0.67,0.87)]; residence in a neighborhood with high residential rehabilitation was associated with a 26% reduction in injection drug use [AOR=0.74; 95% CI (0.61,0.91)]. Continuous residence within neighborhoods with moderate/high rehabilitation, and relocating to neighborhoods with moderate/high rehabilitation, were associated with a lower likelihood of injection drug use. Additional studies are needed to understand the mechanisms behind these relationships. PMID:24840154

Cougar space use and movements in the wildland-urban landscape of western Washington

USGS Publications Warehouse

Kertson, B.N.; Spencer, R.D.; Marzluff, J.M.; Hepinstall-Cymerman, Jeffrey; Grue, C.E.

2011-01-01

The wildland-urban interface lies at the confluence of human-dominated and wild landscapes, creating a number of management and conservation challenges. Because wildlife ecology, behavior, and evolution at this interface are shaped by both natural and human phenomena, this requires greater understanding of how diverse factors affect ecosystem and population processes. We illustrate the challenge of understanding and managing a frequent and often undesired inhabitant of the wildland-urban landscape, the cougar (Puma concolor). In wildland and residential areas of western Washington State, USA, we captured and radiotracked 27 cougars to model space use and understand the role of landscape features in interactions (sightings, encounters, and depredations) between cougars and humans. Resource utilization functions (RUFs) identified cougar use of areas with features that were probably attractive to prey, influential on prey vulnerability, and associated with limited or no residential development. Early-successional forest (+), conifer forest (+), distance to road (-), residential density (-), and elevation (-) were significant positive and negative predictors of use for the population, whereas use of other landscape features was highly variable. Space use and movement rates in wildland and residential areas were similar because cougars used wildland-like forest patches, reserves, and corridors in residential portions of their home range. The population RUF was a good predictor of confirmed cougar interactions, with 72% of confirmed reports occurring in the 50% of the landscape predicted to be medium-high and high cougar use areas. We believe that there is a threshold residential density at which the level of development modifies the habitat but maintains enough wildland characteristics to encourage moderate levels of cougar use and maximize the probability of interaction. Wildlife managers trying to reduce interactions between cougars and people should incorporate information on spatial ecology and landscape characteristics to identify areas with the highest overlap of human and cougar use to focus management, education, and landscape planning. Resource utilization functions provide a proactive tool to guide these activities for improved coexistence with wildlife using both wildland and residential portions of the landscape. ??2011 by the Ecological Society of America.

Residential Carers' Knowledge and Attitudes towards Physiotherapy Interventions for Adults with Learning Disabilities

ERIC Educational Resources Information Center

Stewart, Stephen; Macha, Ruth; Hebblethwaite, Amy; Hames, Annette

2009-01-01

Through the use of face-to-face interviews, this article explores residential carers' perceptions and understanding of a physiotherapy service provided to patients with a learning disability, with the aim of highlighting potential areas for improvement in the service. Carers involved in the study reported a good relationship with the…

"I Was Scared to Be the Stupid": Latinas in Residential Academies of Science and Math

ERIC Educational Resources Information Center

Sayman, Donna

2015-01-01

This study examines the experiences of Latinas in state residential academies of science, technology, engineering, and math (STEM). Goals of this project focused on understanding their experiences and identifying factors leading to the decision to enroll, along with issues contributing to retention. These schools represent powerful opportunities…

Hydrological processes at the urban residential scale

Treesearch

Q. Xiao; E.G. McPherson; J.R. Simpson; S.L. Ustin

2007-01-01

In the face of increasing urbanization, there is growing interest in application of microscale hydrologic solutions to minimize storm runoff and conserve water at the source. In this study, a physically based numerical model was developed to understand hydrologic processes better at the urban residential scale and the interaction of these processes among different...

Family Contact and Recidivism: A Longitudinal Study of Adjudicated Delinquents in Residential Care

ERIC Educational Resources Information Center

Ryan, Joseph P.; Yang, Huilan

2005-01-01

Families are critical to understanding and interrupting patterns of delinquent and criminal behavior. The objective of this study was to determine whether specific types of contact with family members are associated with a reduced risk of recidivism after a long-term residential program for juvenile delinquents. Family contact reports were…

Predicting the Academic Functioning of Youth Involved in Residential Care

ERIC Educational Resources Information Center

Griffith, Annette K.; Trout, Alexandra L.; Epstein, Michael H.; Garbin, Calvin P.; Pick, Robert; Wright, Tanya

2010-01-01

Youth involved in residential care programs present with significant difficulties across behavioral and mental health domains. Although this is a group that is also at considerable risk for academic failure, very little research has been done to understand the academic functioning of this population. The current study sought to expand what is…

75 FR 2595 - Proposed Information Collection (Application for Furnishing Long-Term Care Services to...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-15

... (Application for Furnishing Long- Term Care Services to Beneficiaries of Veterans Affairs, and Residential Care... comments for information needed to determine non-Federal nursing home or residential care home qualification to provide care to veteran patients. DATES: Written comments and recommendations on the proposed...

Landscape features influencing residential rodent control and animal movement in two urban areas of California

EPA Science Inventory

Residential “pest” control of both native (e.g., gophers, rabbits) and exotic (e.g., black and Norway rats, house mice) species may impact populations of non-target species inadvertently. We evaluated relationships among animal movement, rodent control, and landscape features in...

75 FR 35447 - Buy American Exception Under the American Recovery and Reinvestment Act of 2009; Nationwide...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-22

... Reinvestment and Recovery Act of 2009 (Recovery Act) to EERE-funded projects for non-residential programmable...[hyphen]residential programmable thermostats; commercial scale fully-automatic wood pellet boiler systems...) Programmable Thermostats--Includes devices that permit adjustment of heating or air-conditioning operations...

Third-Party Finance for Commercial Photovoltaic Systems: The Rise of the PPA

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bolinger, Mark A

2009-02-15

Installations of grid-connected photovoltaic (PV) systems in the United States have increased dramatically in recent years, growing from less than 20 MW in 2000 to nearly 500 MW at the end of 2007, a compound average annual growth rate of 59%. Of particular note is the increasing contribution of 'non-residential' grid-connected PV systems--defined here as those systems installed on the customer (rather than utility) side of the meter at commercial, institutional, non-profit, or governmental properties--to the overall growth trend. Although there is some uncertainty in the numbers, non-residential PV capacity grew from less than half of aggregate annual capacity installationsmore » in 2000-2002 to nearly two-thirds in 2007. This relative growth trend is expected to have continued through 2008. This article, which is excerpted from a longer report, focuses specifically on just one subset of the non-residential PV market: systems hosted (and perhaps owned) by commercial, tax-paying entities. Tax-exempt entities (e.g., non-profits or municipalities) face unique issues and have different financing options at their disposal; readers interested in PV financing options for tax-exempt entities can find more information in the Bolinger report.« less

Understanding the Construction of Personal Learning Networks to Support Non-Formal Workplace Learning of Training Professionals

ERIC Educational Resources Information Center

Manning, Christin

2013-01-01

Workers in the 21st century workplace are faced with rapid and constant developments that place a heavy demand on them to continually learn beyond what the Human Resources and Training groups can meet. As a consequence, professionals must rely on non-formal learning approaches through the development of a personal learning network to keep…

Estimates of wood energy demand for residential use in Alaska: an update

Treesearch

Jean M. Daniels; Michael D. Paruszkiewicz

2016-01-01

Efforts to amend the Tongass National Forest Land Management Plan have necessitated the development of several management scenarios to assist with planning efforts. One scenario focuses on increasing the utilization of sawmill residues and low-grade material as feedstock for expanding biomass energy markets. The development of a biomass industry is viewed as a solution...

Harvesting systems for multiple products an update for the United States

Treesearch

Bryce J. Stokes

1998-01-01

As expected, currently and for years to come, the demand for energy will increase, especially for transportation. Other increases will be for natural gas for residential and industriai use, and for renewables as a response to environmental awareness. However, for the short term, economics dictate energy source selection and use; bioenergy has not been competitive....

False-belief understanding in 2.5-year-olds: Evidence from two novel verbal spontaneous-response tasks

PubMed Central

Scott, Rose M.; He, Zijing; Baillargeon, Renée; Cummins, Denise

2011-01-01

Recent research indicates that toddlers and infants succeed at various non-verbal spontaneous-response false-belief tasks; here we asked whether toddlers would also succeed at verbal spontaneous-response false-belief tasks that imposed significant linguistic demands. 2.5-year-olds were tested using two novel tasks: a preferential-looking task in which children listened to a false-belief story while looking at a picture book (with matching and non-matching pictures), and a violation-of-expectation task in which children watched an adult “Subject” answer (correctly or incorrectly) a standard false-belief question. Positive results were obtained with both tasks, despite their linguistic demands. These results (1) support the distinction between spontaneous-and elicited-response tasks by showing that toddlers succeed at verbal false-belief tasks that do not require them to answer direct questions about agents’ false beliefs, (2) reinforce claims of robust continuity in early false-belief understanding as assessed by spontaneous-response tasks, and (3) provide researchers with new experimental tasks for exploring early false-belief understanding in neurotypical and autistic populations. PMID:22356174

False-belief understanding in 2.5-year-olds: evidence from two novel verbal spontaneous-response tasks.

PubMed

Scott, Rose M; He, Zijing; Baillargeon, Renée; Cummins, Denise

2012-03-01

Recent research indicates that toddlers and infants succeed at various non-verbal spontaneous-response false-belief tasks; here we asked whether toddlers would also succeed at verbal spontaneous-response false-belief tasks that imposed significant linguistic demands. We tested 2.5-year-olds using two novel tasks: a preferential-looking task in which children listened to a false-belief story while looking at a picture book (with matching and non-matching pictures), and a violation-of-expectation task in which children watched an adult 'Subject' answer (correctly or incorrectly) a standard false-belief question. Positive results were obtained with both tasks, despite their linguistic demands. These results (1) support the distinction between spontaneous- and elicited-response tasks by showing that toddlers succeed at verbal false-belief tasks that do not require them to answer direct questions about agents' false beliefs, (2) reinforce claims of robust continuity in early false-belief understanding as assessed by spontaneous-response tasks, and (3) provide researchers with new experimental tasks for exploring early false-belief understanding in neurotypical and autistic populations. © 2011 Blackwell Publishing Ltd.

Improving publicly funded substance abuse treatment: the value of case management.

PubMed Central

Shwartz, M; Baker, G; Mulvey, K P; Plough, A

1997-01-01

OBJECTIVES: This study evaluated the impact of case management on client retention in treatment and short-term relapse for clients in the publicly funded substance abuse treatment system. METHODS: A retrospective cohort design was used to study clients discharged from the following four modalities in 1993 and 1994: short-term residential (3112 clients), long-term residential (2888 clients), outpatient (7431 clients), and residential detox (7776 clients). Logistic regression models were used to analyze the impact of case management after controlling for baseline characteristics. RESULTS: The odds that case-managed clients reached a length of stay previously identified as associated with more successful treatment were 1.6 (outpatient programs) to 3.6 (short-term residential programs) times higher than the odds for non-case-managed clients. With the exception of outpatient clients, the odds of case-managed clients' being admitted to detox within 90 days after discharge (suggesting relapse) were about two thirds those of non-case-managed clients. The odds of case-managed detox clients' transitioning to post-detox treatment (a good outcome) were 1.7 times higher than the odds for non-case-managed clients. CONCLUSIONS: Case management is a low-cost enhancement that improves short-term outcomes of substance abuse treatment programs. PMID:9357349

A systematic review of transmission dynamic studies of methicillin-resistant Staphylococcus aureus in non-hospital residential facilities.

PubMed

Kwok, Kin On; Read, Jonathan M; Tang, Arthur; Chen, Hong; Riley, Steven; Kam, Kai Man

2018-04-18

Non-hospital residential facilities are important reservoirs for MRSA transmission. However, conclusions and public health implications drawn from the many mathematical models depicting nosocomial MRSA transmission may not be applicable to these settings. Therefore, we reviewed the MRSA transmission dynamics studies in defined non-hospital residential facilities to: (1) provide an overview of basic epidemiology which has been addressed; (2) identify future research direction; and (3) improve future model implementation. A review was conducted by searching related keywords in PUBMED without time restriction as well as internet searches via Google search engine. We included only articles describing the epidemiological transmission pathways of MRSA/community-associated MRSA within and between defined non-hospital residential settings. Among the 10 included articles, nursing homes (NHs) and correctional facilities (CFs) were two settings considered most frequently. Importation of colonized residents was a plausible reason for MRSA outbreaks in NHs, where MRSA was endemic without strict infection control interventions. The importance of NHs over hospitals in increasing nosocomial MRSA prevalence was highlighted. Suggested interventions in NHs included: appropriate staffing level, screening and decolonizing, and hand hygiene. On the other hand, the small population amongst inmates in CFs has no effect on MRSA community transmission. Included models ranged from system-level compartmental models to agent-based models. There was no consensus over the course of disease progression in these models, which were mainly featured with NH residents /CF inmates/ hospital patients as transmission pathways. Some parameters used by these models were outdated or unfit. Importance of NHs has been highlighted from these current studies addressing scattered aspects of MRSA epidemiology. However, the wide variety of non-hospital residential settings suggest that more work is needed before robust conclusions can be drawn. Learning from existing work for hospitals, we identified critical future research direction in this area from infection control, ecological and economic perspectives. From current model deficiencies, we suggest more transmission pathways be specified to depict MRSA transmission, and further empirical studies be stressed to support evidence-based mathematical models of MRSA in non-hospital facilities. Future models should be ready to cope with the aging population structure.

Feasibility and effectiveness of a combined individual and psychoeducational group intervention in psychiatric residential facilities: A controlled, non-randomized study.

PubMed

Magliano, Lorenza; Puviani, Marta; Rega, Sonia; Marchesini, Nadia; Rossetti, Marisa; Starace, Fabrizio

2016-01-30

This controlled, non-randomized study explored the feasibility of introducing a Combined Individual and Group Intervention (CIGI) for users with mental disorders in residential facilities, and tested whether users who received the CIGI had better functioning than users who received the Treatment-As-Usual (TAU), at two-year follow up. In the CIGI, a structured cognitivebehavioral approach called VADO (in English, Skills Assessment and Definition of Goals) was used to set specific goals with each user, while Falloon's psychoeducational treatment was applied with the users as a group. Thirty-one professionals attended a training course in CIGI, open to users' voluntary participation, and applied it for two years with all users living in 8 residential facilities of the Mental Health Department of Modena, Italy. In the same department, 5 other residential facilities providing TAU were used as controls. ANOVA for repeated measures showed a significant interaction effect between users' functioning at baseline and follow up assessments, and the intervention. In particular, change in global functioning was higher in the 55 CIGI users than in the 44 TAU users. These results suggest that CIGI can be successfully introduced in residential facilities and may be useful to improve functioning in users with severe mental disorders. Copyright © 2016. Published by Elsevier Ireland Ltd.

Love, intimacy and sexuality in residential dementia care: A spousal perspective.

PubMed

Roelofs, Tineke Sm; Luijkx, Katrien G; Embregts, Petri Jcm

2017-01-01

The experiences and needs of spouses of residential care facility residents with dementia, regarding friendship, love, intimacy, and sexuality were explored. Understanding of how spouses make sense of their experiences was pursued. Semi-structured interviews were held with nine spouses of people with dementia, living in high intensive 24-hour care units within residential care facilities. The results show that friendship, love, intimacy, and sexuality were still embedded in the couples' marital lives, but all in their own way. Changing roles and a shift in purpose of the relationship recurred. Although intimacy was found to be still important in the lives of spouses, emotional, and practical residential care facility barriers were experienced by the spouses, of which the absence of communication were most important. Our findings on the experiences of spouses with regard to intimacy and sexuality can help residential care facility staff and policymakers to recognize the needs of couples and take these into account.

TAS::89 0927::TAS RECOVERY - The Lean Green Energy Controller Machine

DOE Office of Scientific and Technical Information (OSTI.GOV)

Teeter, John; Wang, Gene; Moss, David

Achieving efficiency improvements and providing demand-response programs have been identified as key elements of our national energy initiative. The residential market is the largest, yet most difficult, segment to engage in efforts to meet these objectives. This project developed Energy Management System that engages the consumer and enables Smart Grid services, applications, and business processes to address this need. Our innovative solution provides smart controller providing dynamic optimization of energy consumption for the residential energy consumer. Our solution extends the technical platform to include a cloud based Internet of Things (IoT) aggregation of data sensors and actuators the go beyondmore » energy management and extend to life style services provided through compelling mobile and console based user experiences.« less

Characteristics of and factors associated with dengue vector breeding sites in the City of Colombo, Sri Lanka

PubMed Central

Kusumawathie, Pad; Palihawadana, Paba; Janaki, Sakoo; Wijemuni, Ruwan; Wilder-Smith, Annelies; Tissera, Hasitha A.

2016-01-01

Introduction Dengue has emerged as a major public health problem in Sri Lanka. Vector control at community level is a frequent and widespread strategy for dengue control. The aim of the study was to assess Aedes mosquito breeding sites and the prevention practices of community members in a heavily urbanized part of Colombo. Methods A cross-sectional entomological survey was conducted from April to June 2013 in 1469 premises located in a subdistrict of the City of Colombo. Types of breeding sites and, where found, their infestation with larvae or pupae were recorded. Furthermore, a questionnaire was administered to the occupants of these premises to record current practices of dengue vector control. Results The surveyed premises consisted of 1341 residential premises and 110 non-residential premises (11 schools, 99 work or public sites), 5 open lands, and 13 non-specified. In these 1469 premises, 15447 potential breeding sites suitable to host larvae of pupae were found; of these sites18.0% contained water. Among the 2775 potential breeding sites that contained water, 452 (16.3%) were positive for larvae and/or pupae. Schools were associated with the proportionally highest number of breeding sites; 85 out of 133 (63.9%) breeding sites were positive for larvae and/or pupae in schools compared with 338 out of 2288 (14.8%) in residential premises. The odds ratio (OR) for schools and work or public sites for being infested with larvae and/or pupae was 2.77 (95% CI 1.58, 4.86), when compared to residential premises. Occupants of 80.8% of the residential premises, 54.5% of the schools and 67.7% of the work or public sites reported using preventive measures. The main prevention practices were coverage of containers and elimination of mosquito breeding places. Occupants of residential premises were much more likely to practice preventive measures than were those of non-residential premises (OR 2.23; 1.49, 3.36). Conclusion Schools and working sites were associated with the highest numbers of breeding sites and lacked preventive measures for vector control. In addition to pursuing vector control measures at residential level, public health strategies should be expanded in schools and work places. PMID:27241954

Residential radon and environmental burden of disease among Non-smokers.

PubMed

Noh, Juhwan; Sohn, Jungwoo; Cho, Jaelim; Kang, Dae Ryong; Joo, Sowon; Kim, Changsoo; Shin, Dong Chun

2016-01-01

Lung cancer was the second highest absolute cancer incidence globally and the first cause of cancer mortality in 2014. Indoor radon is the second leading risk factor of lung cancer after cigarette smoking among ever smokers and the first among non-smokers. Environmental burden of disease (EBD) attributable to residential radon among non-smokers is critical for identifying threats to population health and planning health policy. To identify and retrieve literatures describing environmental burden of lung cancer attributable to residential radon, we searched databases including Ovid-MEDLINE, -EMBASE from 1980 to 2016. Search terms included patient keywords using 'lung', 'neoplasm', exposure keywords using 'residential', 'radon', and outcomes keywords using 'years of life lost', 'years of life lost due to disability', 'burden'. Searching through literatures identified 261 documents; further 9 documents were identified using manual searching. Two researchers independently assessed 271 abstracts eligible for inclusion at the abstract level. Full text reviews were conducted for selected publications after the first assessment. Ten studies were included in the final evaluation. Global disability-adjusted life years (DALYs)(95 % uncertainty interval) for lung cancer were increased by 35.9 % from 23,850,000(18,835,000-29,845,000) in 1900 to 32,405,000(24,400,000-38,334,000) in 2000. DALYs attributable to residential radon were 2,114,000(273,000-4,660,000) DALYs in 2010. Lung cancer caused 34,732,900(33,042,600 ~ 36,328,100) DALYs in 2013. DALYs attributable to residential radon were 1,979,000(1,331,000-2,768,000) DALYs for in 2013. The number of attributable lung cancer cases was 70-900 and EBD for radon was 1,000-14,000 DALYs in Netherland. The years of life lost were 0.066 years among never-smokers and 0.198 years among ever-smoker population in Canada. In summary, estimated global EBD attributable to residential radon was 1,979,000 DALYs for both sexes in 2013. In Netherlands, EBD for radon was 1,000-14,000 DALYs. Smoking population lost three times more years than never-smokers in Canada. There was no study estimating EBD of residential radon among never smokers in Korea and Asian country. In addition, there were a few studies reflecting the age of building, though residential radon exposure level depends on the age of building. Further EBD study reflecting Korean disability weight and the age of building is required to estimate EBD precisely.

Canadian Residential Schools and Urban Indigenous Knowledge Production about Diabetes

PubMed Central

Howard, Heather A.

2016-01-01

The construction of illness as an inscription on the body of colonization figures importantly among Indigenous community-based service and health care providers. While residential schools and diabetes have both been characterized as products of colonization, little work has been done to examine how they are connected to and informative for health provider practice. The research data presented in this article come from a collaborative urban Indigenous community-based study examining the legacy of negative relationships with food that was instilled in residential schools and used in diabetes intervention. I illustrate how residential school disciplined eating, providing a context for understanding the contemporary production of Indigenous health knowledge and practice in the urban setting, and the diet-related management of diabetes. PMID:24964719

Grassroots movement building and preemption in the campaign for residential fire sprinklers.

PubMed

Pertschuk, Mark; Hobart, Robin; Paloma, Marjorie; Larkin, Michelle A; Balbach, Edith D

2013-10-01

Home fires account for 85% of fire deaths in the United States, the majority in 1- or 2-family homes lacking fire sprinklers. Since 1978, however, a grassroots movement has successfully promoted more than 360 local ordinances mandating sprinklers in all new residential construction, including 1- and 2-family homes. The homebuilding industry has responded by seeking state preemption of local authority, a strategy previously used by other industries concerned about protecting their profits. From 2009 through 2011, 13 states adopted laws eliminating or limiting local authority over residential fire sprinklers. This study of the residential sprinkler movement adds to our understanding of grassroots public health movements and provides additional evidence that preemption can have a negative impact on public health and safety.

Maintenance and Expansion: Modeling Material Stocks and Flows for Residential Buildings and Transportation Networks in the EU25.

PubMed

Wiedenhofer, Dominik; Steinberger, Julia K; Eisenmenger, Nina; Haas, Willi

2015-08-01

Material stocks are an important part of the social metabolism. Owing to long service lifetimes of stocks, they not only shape resource flows during construction, but also during use, maintenance, and at the end of their useful lifetime. This makes them an important topic for sustainable development. In this work, a model of stocks and flows for nonmetallic minerals in residential buildings, roads, and railways in the EU25, from 2004 to 2009 is presented. The changing material composition of the stock is modeled using a typology of 72 residential buildings, four road and two railway types, throughout the EU25. This allows for estimating the amounts of materials in in-use stocks of residential buildings and transportation networks, as well as input and output flows. We compare the magnitude of material demands for expansion versus those for maintenance of existing stock. Then, recycling potentials are quantitatively explored by comparing the magnitude of estimated input, waste, and recycling flows from 2004 to 2009 and in a business-as-usual scenario for 2020. Thereby, we assess the potential impacts of the European Waste Framework Directive, which strives for a significant increase in recycling. We find that in the EU25, consisting of highly industrialized countries, a large share of material inputs are directed at maintaining existing stocks. Proper management of existing transportation networks and residential buildings is therefore crucial for the future size of flows of nonmetallic minerals.

Maintenance and Expansion: Modeling Material Stocks and Flows for Residential Buildings and Transportation Networks in the EU25

PubMed Central

Steinberger, Julia K.; Eisenmenger, Nina; Haas, Willi

2015-01-01

Summary Material stocks are an important part of the social metabolism. Owing to long service lifetimes of stocks, they not only shape resource flows during construction, but also during use, maintenance, and at the end of their useful lifetime. This makes them an important topic for sustainable development. In this work, a model of stocks and flows for nonmetallic minerals in residential buildings, roads, and railways in the EU25, from 2004 to 2009 is presented. The changing material composition of the stock is modeled using a typology of 72 residential buildings, four road and two railway types, throughout the EU25. This allows for estimating the amounts of materials in in‐use stocks of residential buildings and transportation networks, as well as input and output flows. We compare the magnitude of material demands for expansion versus those for maintenance of existing stock. Then, recycling potentials are quantitatively explored by comparing the magnitude of estimated input, waste, and recycling flows from 2004 to 2009 and in a business‐as‐usual scenario for 2020. Thereby, we assess the potential impacts of the European Waste Framework Directive, which strives for a significant increase in recycling. We find that in the EU25, consisting of highly industrialized countries, a large share of material inputs are directed at maintaining existing stocks. Proper management of existing transportation networks and residential buildings is therefore crucial for the future size of flows of nonmetallic minerals. PMID:27524878

120 Years of U.S. Residential Housing Stock and Floor Space.

PubMed

Moura, Maria Cecilia P; Smith, Steven J; Belzer, David B

2015-01-01

Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO2 emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891-2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891-2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million square feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.

120 years of U.S. residential housing stock and floor space

DOE Office of Scientific and Technical Information (OSTI.GOV)

Moura, Maria Cecilia P.; Smith, Steven J.; Belzer, David B.

Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO₂ emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891–2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891–2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million squaremore » feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.« less

120 Years of U.S. Residential Housing Stock and Floor Space

PubMed Central

Moura, Maria Cecilia P.; Smith, Steven J.; Belzer, David B.

2015-01-01

Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO2 emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891–2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891–2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million square feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade. PMID:26263391

120 years of U.S. residential housing stock and floor space

DOE PAGES

Moura, Maria Cecilia P.; Smith, Steven J.; Belzer, David B.; ...

2015-08-11

Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO₂ emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891–2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891–2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million squaremore » feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.« less

Droop Control of Solar PV, Grid and Critical Load using Suppressing DC Current Injection Technique without Battery Storage

NASA Astrophysics Data System (ADS)

Dama Mr., Jayachandra; (Mrs. , Lini Mathew, Dr.; Srikanth Mr., G.

2017-08-01

This paper presents design of a sustainable solar Photo voltaic system for an Indian cities based residential/community house, integrated with grid, supporting it as supplementary sources, to meet energy demand of domestic loads. The role of renewable energy sources in Distributed Generation (DG) is increasingly being recognized as a supplement and an alternative to large conventional central power supply. Though centralized economic system that solely depends on cities is hampered due to energy deficiency, the use of solar energy in cities is never been tried widely due to technical inconvenience and high installation cost. To mitigate these problems, this paper proposes an optimized design of grid-tied PV system without storage which is suitable for Indian origin as it requires less installallation cost and supplies residential loads when the grid power is unavailable. The energy requirement is mainly fulfilled from PV energy module for critical load of a city located residential house and supplemented by grid/DG for base and peak load. The system has been developed for maximum daily household demand of 50kWp and can be scaled to any higher value as per requirement of individual/community building ranging from 50kWp to 60kWp as per the requirement. A simplified control system model has been developed to optimize and control flow of power from these sources. The simulation work, using MATLAB Simulink software for proposed energy management, has resulted in an optimal yield leading efficient power flow control of proposed system.

Perceptions of Personal Well-Being among Youth Accessing Residential or Intensive Home-Based Treatment

ERIC Educational Resources Information Center

Preyde, Michele; Watkins, Hanna; Ashbourne, Graham; Lazure, Kelly; Carter, Jeff; Penney, Randy; White, Sara; Frensch, Karen; Cameron, Gary

2013-01-01

The outcomes of youth accessing residential treatment or intensive home-based treatment are varied. Understanding youth's perceptions of their well-being may inform service. The purpose of this report was to explore perceptions of youth's mental health, life satisfaction, and outlook for the future. Youth reported ongoing struggles with mental…

Understanding Communication Dynamics among International and Domestic Students: A Case Study of a Global Living-Learning Community

ERIC Educational Resources Information Center

San Antonio, Lani M.; Ofori-Dwumfuo, Cynthia

2015-01-01

The transitional needs of international students, often known as sojourners due to their temporary residential status, are often overlooked by housing professionals, as most residential life initiatives and programs focus heavily on first-year, second-year, and transfer student populations. In student services, the acculturation of international…

Can money buy green? Demographic and socioeconomic predictors of lawn-care expenditures and lawn greenness in urban residential areas

Treesearch

Weiqi Zhou; Austin Troy; J. Morgan Grove; Jennifer C. Jenkins

2009-01-01

It is increasingly important to understand how household characteristics influence lawn characteristics, as lawns play an important ecological role in human-dominated landscapes. This article investigates household and neighborhood socioeconomic characteristics as predictors of residential lawn-care expenditures and lawn greenness. The study area is the Gwynns Falls...

The Design of an Effective Family Reintegration and Aftercare Program for Youth Successfully Leaving Residential Care.

ERIC Educational Resources Information Center

Roley, Jeffrey H.

The lack of support services following the release of adolescent youths from a residential treatment center back to their families is examined in this practicum. Consequently, the development of a family reintegration program for the treatment center is focused on the concept that effective aftercare begins at intake. Understandably, families…

Household water use and conservation models using Monte Carlo techniques

NASA Astrophysics Data System (ADS)

Cahill, R.; Lund, J. R.; DeOreo, B.; Medellín-Azuara, J.

2013-10-01

The increased availability of end use measurement studies allows for mechanistic and detailed approaches to estimating household water demand and conservation potential. This study simulates water use in a single-family residential neighborhood using end-water-use parameter probability distributions generated from Monte Carlo sampling. This model represents existing water use conditions in 2010 and is calibrated to 2006-2011 metered data. A two-stage mixed integer optimization model is then developed to estimate the least-cost combination of long- and short-term conservation actions for each household. This least-cost conservation model provides an estimate of the upper bound of reasonable conservation potential for varying pricing and rebate conditions. The models were adapted from previous work in Jordan and are applied to a neighborhood in San Ramon, California in the eastern San Francisco Bay Area. The existing conditions model produces seasonal use results very close to the metered data. The least-cost conservation model suggests clothes washer rebates are among most cost-effective rebate programs for indoor uses. Retrofit of faucets and toilets is also cost-effective and holds the highest potential for water savings from indoor uses. This mechanistic modeling approach can improve understanding of water demand and estimate cost-effectiveness of water conservation programs.

Household water use and conservation models using Monte Carlo techniques

NASA Astrophysics Data System (ADS)

Cahill, R.; Lund, J. R.; DeOreo, B.; Medellín-Azuara, J.

2013-04-01

The increased availability of water end use measurement studies allows for more mechanistic and detailed approaches to estimating household water demand and conservation potential. This study uses, probability distributions for parameters affecting water use estimated from end use studies and randomly sampled in Monte Carlo iterations to simulate water use in a single-family residential neighborhood. This model represents existing conditions and is calibrated to metered data. A two-stage mixed integer optimization model is then developed to estimate the least-cost combination of long- and short-term conservation actions for each household. This least-cost conservation model provides an estimate of the upper bound of reasonable conservation potential for varying pricing and rebate conditions. The models were adapted from previous work in Jordan and are applied to a neighborhood in San Ramon, California in eastern San Francisco Bay Area. The existing conditions model produces seasonal use results very close to the metered data. The least-cost conservation model suggests clothes washer rebates are among most cost-effective rebate programs for indoor uses. Retrofit of faucets and toilets is also cost effective and holds the highest potential for water savings from indoor uses. This mechanistic modeling approach can improve understanding of water demand and estimate cost-effectiveness of water conservation programs.

"Can we walk?" Environmental supports for physical activity in India.

PubMed

Adlakha, Deepti; Hipp, J Aaron; Brownson, Ross C; A Eyler, Amy; K Lesorogol, Carolyn; Raghavan, Ramesh

2017-10-01

India is currently facing a non-communicable disease epidemic. Physical activity (PA) is a preventative factor for non-communicable diseases. Understanding the role of the built environment (BE) to facilitate or constrain PA is essential for public health interventions to increase population PA. The objective of this study was to understand BEs associations with PA occurring in two major life domains or life areas-travel and leisure-in urban India. Between December 2014 and April 2015, in-person surveys were conducted with participants (N=370; female=47.2%) in Chennai, India. Perceived BE characteristics regarding residential density, land use mix-diversity, land use mix-access, street connectivity, infrastructure for walking and bicycling, aesthetics, traffic safety, and safety from crime were measured using the adapted Neighborhood Environment Walkability Scale-India (NEWS-India). Self-reported PA was measured the International Physical Activity Questionnaire. High residential density was associated with greater odds of travel PA (aOR=1.9, 95% CI=1.2, 3.2). Land use mix-diversity was positively related to travel PA (aOR=2.1, 95%CI=1.2, 3.6), but not associated with leisure or total PA. The aggregate NEWS-India score predicted a two-fold increase in odds of travel PA (aOR=1.9, 95% CI=1.1, 3.1) and a 40% decrease in odds of leisure PA (aOR=0.6, 95% CI=0.4, 1.0). However, the association of the aggregated score with leisure PA was not significant. Results suggest that relationships between BE and PA in low-and-middle income countries may be context-specific, and may differ markedly from higher income countries. Findings have public health implications for India suggesting that caution should be taken when translating evidence across countries. Copyright © 2016 Elsevier Inc. All rights reserved.

Chapter 1: CLT Introduction to cross-laminated timber

Treesearch

Sylvan Gagnon; E.M.(Ted) Bilek; Lisa Podesto; Pablo Crespell

2013-01-01

Cross-laminated timber ( CLT), a new generation of engineered wood product developed initially in Europe, has been gaining increased popularity in residential and non-residential applications in several countries. Many impressive low- and mid-rise buildings built around the world using CLT showcase the many advantages this product has to offer to the construction...

An Empirical Typology of Residential Care/Assisted Living Based on a Four-State Study

ERIC Educational Resources Information Center

Park, Nan Sook; Zimmerman, Sheryl; Sloane, Philip D.; Gruber-Baldini, Ann L.; Eckert, J. Kevin

2006-01-01

Purpose: Residential care/assisted living describes diverse facilities providing non-nursing home care to a heterogeneous group of primarily elderly residents. This article derives typologies of assisted living based on theoretically and practically grounded evidence. Design and Methods: We obtained data from the Collaborative Studies of Long-Term…

Residential environmental education meeting teachers' science needs and beyond: A Bradford Woods case study

NASA Astrophysics Data System (ADS)

Gatzke, Jenna M.

With the continued increase of environmental problems facing the world, the need for environmental education (EE) is greater than ever before. Residential EE centers offer unique opportunities that have the potential to increase EE in student education. The purpose of this study was to explore classroom teachers’ understandings and ideas about and what role residential EE programming and curricula play in their classroom curriculum. Using an embedded mixed methods instrumental case study design, this study worked with 58 classroom teachers attending Bradford Woods, a residential EE center. Data collection sources included an on-line survey, on-site trail observations, and semi-structured phone interviews. Results of the study indicated that teachers found multiple meanings in EE, relating the field to being about, from and in, and for the environment. Residential EE centers were seen to provide both social and academic benefits for students as well as to challenge teachers to take on new and varying roles. Results also linked connections between teachers’ values, beliefs and knowledge to their use of EE in their curriculum. Discussion and implications of the study focus on what overarching findings have been gained from the founding literature base. These findings include a detailed look at the complex role of the teacher in EE programming settings and a discussion on what little has changed in our understandings of the EE, residential EE center, and classroom milieu over the past few decades. Suggestions for future research are outlined based on these overarching findings. Finally, limitations of the study and main contributions to the research base are also presented.

Last Mile Asset Monitoring; Low Cost Rapid Deployment Asset Monitoring

NASA Astrophysics Data System (ADS)

Zumr, Zdenek

Installation and utilization of residential distribution transformers has not changed substantially over a long period of time. Utilities typically size their transformers based on a formula that takes into account broadly what types and how many dwellings will be connected. Most new residential dwellings feature 200 Amp service per household with an anticipated energy demand of under 20,000 kWh per year. Average electrical energy consumption varies from state to state but averages to 11,280 kWh per year. Energy demand is expected to fall into a typical residential load curve that shows increased demand early in the morning, then decreasing during the day and another peak early to late evening. Distribution transformers are sized at the limit of the combined evening peak with the assumption that the transformer has enough thermal mass to absorb short overloads that may occur when concurrent loading situations among multiple dwellings arise. The assumption that concurrent loading is of short duration and the transformer can cool off during the night time has been validated over the years and has become standard practice. This has worked well when dwelling loads follow an averaging scheme and low level of coincidence. With the arrival of electric vehicles (EV's) this assumption has to be reevaluated. The acquisition of an electric vehicle in a household can drive up energy demand by over 4000 kWh per year. Potentially problematic is the increased capacity of battery packs and the resulting proliferation of Level 2 chargers. The additional load of a single Level 2 charger concurring with the combined evening peak load will push even conservatively sized distribution transformers over their nameplate rating for a substantial amount of time. Additionally, unlike common household appliances of similar power requirements such as ovens or water heaters, a Level 2 battery charger will run at peak power consumption for several hours, and the current drawn by the EVs has very high levels of harmonic distortion. The excessive loading and harmonic profile can potentially result in damaging heat build-up resulting in asset degradation. In this thesis I present a device and method that monitors pole mounted distribution transformers for overheating, collect and wirelessly upload data and initiate commands to chargers to change output levels from Level 2 to Level 1 or shut down EV charging altogether until the transformer returns into safe operational range.

Evaluation of appropriate system for reclaimed wastewater reuse in each area of Tokyo using GIS-based water balance model.

PubMed

Aramaki, T; Sugimoto, R; Hanaki, K; Matsuo, T

2001-01-01

The appropriate type of reclaimed wastewater reuse system in each area of Tokyo was evaluated from the aspect of economic efficiency, using a GIS-based water balances model. The following four reclaimed wastewater reuse systems and conventional waterworks and sewerage system were evaluated; "Rain water storage and use system", "Onsite wastewater treatment and reuse system", "Sewage treatment and reuse at an intermediate point on the sewer pipe" and "Treated water supply system in sewage treatment plant". In the case that we install them to office and residential buildings, the supplied volume by reclaimed wastewater reuse systems is 693 thousands m3/d, this corresponds to 15% of total water demand in the area. Furthermore, the effects of the following scenarios brought about by technological innovation in water treatment were investigated; the case that flush water in toilet and wastewater from kitchen are also available as source in a "onsite wastewater treatment and reuse system" and the case that reclaimed water is used for laundering in residential buildings. When reclaimed water is used for laundering in residential buildings, the supplied volume by these systems increases to 814 thousand m3/d in the case that these systems are installed to office and residential buildings.

Vegetation cover in relation to socioeconomic factors in a tropical city assessed from sub-meter resolution imagery.

PubMed

Martinuzzi, Sebastián; Ramos-González, Olga M; Muñoz-Erickson, Tischa A; Locke, Dexter H; Lugo, Ariel E; Radeloff, Volker C

2018-04-01

Fine-scale information about urban vegetation and social-ecological relationships is crucial to inform both urban planning and ecological research, and high spatial resolution imagery is a valuable tool for assessing urban areas. However, urban ecology and remote sensing have largely focused on cities in temperate zones. Our goal was to characterize urban vegetation cover with sub-meter (<1 m) resolution aerial imagery, and identify social-ecological relationships of urban vegetation patterns in a tropical city, the San Juan Metropolitan Area, Puerto Rico. Our specific objectives were to (1) map vegetation cover using sub-meter spatial resolution (0.3-m) imagery, (2) quantify the amount of residential and non-residential vegetation, and (3) investigate the relationship between patterns of urban vegetation vs. socioeconomic and environmental factors. We found that 61% of the San Juan Metropolitan Area was green and that our combination of high spatial resolution imagery and object-based classification was highly successful for extracting vegetation cover in a moist tropical city (97% accuracy). In addition, simple spatial pattern analysis allowed us to separate residential from non-residential vegetation with 76% accuracy, and patterns of residential and non-residential vegetation varied greatly across the city. Both socioeconomic (e.g., population density, building age, detached homes) and environmental variables (e.g., topography) were important in explaining variations in vegetation cover in our spatial regression models. However, important socioeconomic drivers found in cities in temperate zones, such as income and home value, were not important in San Juan. Climatic and cultural differences between tropical and temperate cities may result in different social-ecological relationships. Our study provides novel information for local land use planners, highlights the value of high spatial resolution remote sensing data to advance ecological research and urban planning in tropical cities, and emphasizes the need for more studies in tropical cities. © 2017 by the Ecological Society of America.

A comparison of multidisciplinary team residential rehabilitation with conventional outpatient care for the treatment of non-arthritic intra-articular hip pain in UK Military personnel - a protocol for a randomised controlled trial.

PubMed

Coppack, Russell J; Bilzon, James L; Wills, Andrew K; McCurdie, Ian M; Partridge, Laura; Nicol, Alastair M; Bennett, Alexander N

2016-11-08

Non-arthritic hip disorders are defined as abnormalities of the articulating surfaces of the acetabulum and femur before the onset of osteoarthritis, including intra-articular structures such as the acetabular labrum and chondral surfaces. Abnormal femoroacetabular morphology is commonly seen in young men who constitute much of the UK military population. Residential multidisciplinary team (MDT) rehabilitation for patients with musculoskeletal injuries has a long tradition in the UK military, however, there are no studies presenting empirical data on the efficacy of a residential MDT approach compared with individualised conventional outpatient treatment. With no available data, the sustainability of this care pathway has been questioned. The purpose of this randomised controlled trial is to compare the effects of a residential multidisciplinary intervention, to usual outpatient care, on the clinical outcomes of young active adults undergoing treatment for non-arthritic intra-articular hip pain. The trial will be conducted at the Defence Medical Rehabilitation Centre, Headley Court, UK. One hundred military male participants with clinical indicators of non-arthritic intra-articular hip pain will be randomly allocated to either: (1) 7-day residential multidisciplinary team intervention, n = 50; (2) 6-week physiotherapist-led outpatient intervention (conventional care), n = 50. Measurements will be taken at baseline, post-treatment (1-week MDT group; 6-weeks physiotherapy group), and 12-weeks. The primary outcome measures are the function in daily living sub-scale of the Copenhagen Hip and Groin Outcome Score (HAGOS), the physical function subscale of the Non-arthritic Hip Score (NAHS), and VAS pain scale. Secondary outcomes include objective measures of physical capacity and general health. An intention-to-treat analysis will be performed using linear and mixed models. This study will be the first to assess the efficacy of intensive MDT rehabilitation, versus conventional outpatient care, for the management of non-arthritic hip pain. The results from this study will add to the evidence-base and inform clinical practice for the management of intra-articular non-arthritic hip pain and femoroacetabular impingement in young active adults. ISRCTN Reference: ISRCTN 59255714 dated 11-Nov-2015.

Economic, demographic and social factors of energy demand in Mexican households, 2008-2014

NASA Astrophysics Data System (ADS)

Perez Pena, Rafael

This research project focuses on estimating the effect of economic, demographic, and social factors in residential energy demand in Mexico from 2008 to 2014. Therefore, it estimates demand equations for electricity, natural gas, liquefied petroleum gas (LPG), coal and natural gas using Mexican household data from 2008 to 2014. It also applies accessibility theory and it estimates energy access indicators using different specifications of demand for LPG in 2014. Sprawl measures, gravity model, and central place theory are the accessibility theory supporting the energy access indicators. Results suggest the greater the household income, the population size, the educational level of the householder, the energy access, and the lower the energy price and the household size, the greater the demand for energy in Mexico from 2008 to 2014. The greater the education, the lower the demand for firewood and coal. LPG and firewood have a monopolistically competitive market structure. Energy access indicators informed by accessibility theory are statistically significant and show the expected sign when applied to LPG in Mexican household in 2014.

SIP Shear Walls: Cyclic Performance of High-Aspect-Ratio Segments and Perforated Walls

Treesearch

Vladimir Kochkin; Douglas R. Rammer; Kevin Kauffman; Thomas Wiliamson; Robert J. Ross

2015-01-01

Increasing stringency of energy codes and the growing market demand for more energy efficient buildings gives structural insulated panel (SIP) construction an opportunity to increase its use in commercial and residential buildings. However, shear wall aspect ratio limitations and lack of knowledge on how to design SIPs with window and door openings are barriers to the...

Examination of Spatial Polygamy among Young Gay, Bisexual, and Other Men Who Have Sex with Men in New York City: The P18 Cohort Study

PubMed Central

Duncan, Dustin T.; Kapadia, Farzana; Halkitis, Perry N.

2014-01-01

The few previous studies examining the influence of the neighborhood context on health and health behavior among young gay, bisexual, and other men who have sex with men (YMSM) have predominantly focused on residential neighborhoods. No studies have examined multiple neighborhood contexts among YMSM or the relationships between sociodemographic characteristics, psychosocial factors, social support network characteristics, health behaviors, and neighborhood concordance. In this study, we assessed spatial polygamy by determining the amount of concordance between residential, social, and sex neighborhoods (defined as boroughs) in addition to examining individual-level characteristics that may be associated with neighborhood concordance. These data come from the baseline assessment of Project 18, a cohort of racially and ethnically diverse YMSM residing in the New York City metropolitan area. Participants (N = 598) provided information on their residential, social, and sex boroughs as well as information on their sociodemographic characteristics, psychosocial factors, social support network characteristics, and health behaviors (e.g., substance use and condomless sex). Descriptive analyses were conducted to examine the distribution of boroughs reported across all three contexts, i.e., residential, social, and sex boroughs. Next, concordance between: (1) residential and social boroughs; (2) residential and sex boroughs; (3) social and sex boroughs; and (4) residential, social, and sex boroughs was assessed. Finally, bivariable analyses were conducted to examine the relationships between sociodemographic characteristics, psychosocial factors, social support network characteristics, and health behaviors in relation to borough concordance. Approximately two-thirds of participants reported concordance between residential/socializing, residential/sex, and sex/socializing boroughs, whereas 25% reported concordance between all three residential/socializing/sex boroughs. Borough concordance varied by some individual-level characteristics. For example, White YMSM and YMSM reporting lower perceived socioeconomic status were significantly more likely to report residential/socializing/sex borough concordance (p < 0.001). With regard to psychosocial factors, YMSM who reported experiencing gay-related stigma in public forums were more likely to report discordant socializing/sex and residential/socializing/sex boroughs (p < 0.001). Greater frequency of communication with network members (≥weekly) was associated with less residential/social borough concordance (p < 0.05). YMSM who reported residential/socializing/sex borough concordance were more likely to report recent (last 30 days) alcohol use, recent marijuana use, and recently engaging in condomless oral sex (all p < 0.05). These findings suggest that spatial polygamy, or an individual moving across and experiencing multiple neighborhood contexts, is prevalent among urban YMSM and that spatial polygamy varies by multiple individual-level characteristics. Future research among YMSM populations should consider multiple neighborhood contexts in order to provide a more nuanced understanding of how and which neighborhood contexts influence the health and well-being of YMSM. This further examination of spatial polygamy (and individual-level characteristics associated with it) may increase understanding of the most appropriate locations for targeted disease prevention and health promotion interventions (e.g., HIV prevention interventions). PMID:25170685

Examination of spatial polygamy among young gay, bisexual, and other men who have sex with men in New York City: the P18 cohort study.

PubMed

Duncan, Dustin T; Kapadia, Farzana; Halkitis, Perry N

2014-08-28

The few previous studies examining the influence of the neighborhood context on health and health behavior among young gay, bisexual, and other men who have sex with men (YMSM) have predominantly focused on residential neighborhoods. No studies have examined multiple neighborhood contexts among YMSM or the relationships between sociodemographic characteristics, psychosocial factors, social support network characteristics, health behaviors, and neighborhood concordance. In this study, we assessed spatial polygamy by determining the amount of concordance between residential, social, and sex neighborhoods (defined as boroughs) in addition to examining individual-level characteristics that may be associated with neighborhood concordance. These data come from the baseline assessment of Project 18, a cohort of racially and ethnically diverse YMSM residing in the New York City metropolitan area. Participants (N = 598) provided information on their residential, social, and sex boroughs as well as information on their sociodemographic characteristics, psychosocial factors, social support network characteristics, and health behaviors (e.g., substance use and condomless sex). Descriptive analyses were conducted to examine the distribution of boroughs reported across all three contexts, i.e., residential, social, and sex boroughs. Next, concordance between: (1) residential and social boroughs; (2) residential and sex boroughs; (3) social and sex boroughs; and (4) residential, social, and sex boroughs was assessed. Finally, bivariable analyses were conducted to examine the relationships between sociodemographic characteristics, psychosocial factors, social support network characteristics, and health behaviors in relation to borough concordance. Approximately two-thirds of participants reported concordance between residential/socializing, residential/sex, and sex/socializing boroughs, whereas 25% reported concordance between all three residential/socializing/sex boroughs. Borough concordance varied by some individual-level characteristics. For example, White YMSM and YMSM reporting lower perceived socioeconomic status were significantly more likely to report residential/socializing/sex borough concordance (p < 0.001). With regard to psychosocial factors, YMSM who reported experiencing gay-related stigma in public forums were more likely to report discordant socializing/sex and residential/socializing/sex boroughs (p < 0.001). Greater frequency of communication with network members (>weekly) was associated with less residential/social borough concordance (p < 0.05). YMSM who reported residential/socializing/sex borough concordance were more likely to report recent (last 30 days) alcohol use, recent marijuana use, and recently engaging in condomless oral sex (all p < 0.05). These findings suggest that spatial polygamy, or an individual moving across and experiencing multiple neighborhood contexts, is prevalent among urban YMSM and that spatial polygamy varies by multiple individual-level characteristics. Future research among YMSM populations should consider multiple neighborhood contexts in order to provide a more nuanced understanding of how and which neighborhood contexts influence the health and well-being of YMSM. This further examination of spatial polygamy (and individual-level characteristics associated with it) may increase understanding of the most appropriate locations for targeted disease prevention and health promotion interventions (e.g., HIV prevention interventions).

Negotiating user preferences, discrimination, and demand for migrant labour in long-term care.

PubMed

Shutes, Isabel; Walsh, Kieran

2012-01-01

The restructuring of long-term care for older people has been marked both by the role of the market and by the role of migrant labor. This article develops the analysis of these processes at the microlevel of the provision of care. It draws on data collected as part of a cross-national comparative study on the employment of migrant care workers in residential care homes and home care services for older people in England and Ireland. The article examines, first, the ways in which divisions of race, ethnicity, and citizenship shape the preferences of service providers/employers and some service users as regards who provides care. Second, it examines how the institutional context of quasi-markets in long-term care shapes the negotiation of demand for migrant labor, the racialized preferences of individual users, alongside the rights of care workers to non-discrimination. It is argued that market-oriented policies for personalization, as well as for cost containment, raise implications for divisions of race, ethnicity, and citizenship in the provision of long-term care. At the same time, those divisions point to the limits of framing care in terms of the preferences of the individual as opposed to the social relations in which care is embedded.

Quantification and characterization of greywater from schools.

PubMed

Alsulaili, Abdalrahman D; Hamoda, Mohamed F

2015-01-01

Survey of schools of different education levels (primary, intermediate and secondary) in Kuwait showed an average greywater generation rate of 7.3 L/p/d and varied in the range of 2.9-16 l/p/d, reflecting the school level of education (i.e. student age). The highest rates were observed for primary schools while the lowest rates were observed in secondary schools where students are more mature and use the water more wisely. The greywater characteristics indicated waste with low chemical oxygen demand (COD) and 5-day biochemical oxygen demand (BOD5) values but relatively high solids, conductivity, and sodium content due to excessive use of hand soap. Total coliform values ranged between 89 and 352 most probable number (MPN)/mL with an average of 196 MPN/mL while no fecal coliform values were detected. Greywater collected from schools is classified as light greywater and contains much lower levels of organic matter and nutrients compared to residential greywater and domestic wastewater. It is suitable for non-potable reuse after minimal treatment since microbial contamination may pose a serious threat to health if greywater comes into contact with humans. It also provides a good opportunity for reuse in toilet flushing since it can be easily collected from wash sinks and fountains, as major sources, and recycled.

Barriers and Facilitators to Successful Transition from Long-Term Residential Substance Abuse Treatment

PubMed Central

Yuan, Yeqing; Herman, Daniel; Svikis, Dace; Nichols, Obie; Palmer, Erin; Deren, Sherry

2016-01-01

Although residential substance abuse treatment has been shown to improve substance use and other outcomes, relapse is common. This qualitative study explores factors that hinder and help individuals during the transition from long-term residential substance abuse treatment to the community. Semi-structured interviews were conducted with 32 individuals from residential substance abuse treatment. Based on the socio-ecological model, barriers and facilitators to transition were identified across five levels: individual, interpersonal, organizational, community, and policy. The major results indicate that primary areas of intervention needed to improve outcomes for these high-risk individuals include access to stable housing and employment, aftercare services and positive support networks; expanded discharge planning services and transitional assistance; and funding to address gaps in service delivery and to meet individuals’ basic needs. This study contributes to the literature by identifying transition barriers and facilitators from the perspectives of individuals in residential treatment, and by using the socio-ecological model to understand the complexity of this transition at multiple levels. Findings identify potential targets for enhanced support post-discharge from residential treatment. PMID:28132695

Barriers and facilitators to successful transition from long-term residential substance abuse treatment.

PubMed

Manuel, Jennifer I; Yuan, Yeqing; Herman, Daniel B; Svikis, Dace S; Nichols, Obie; Palmer, Erin; Deren, Sherry

2017-03-01

Although residential substance abuse treatment has been shown to improve substance use and other outcomes, relapse is common. This qualitative study explores factors that hinder and help individuals during the transition from long-term residential substance abuse treatment to the community. Semi-structured interviews were conducted with 32 individuals from residential substance abuse treatment. Based on the socio-ecological model, barriers and facilitators to transition were identified across five levels: individual, interpersonal, organizational, community, and policy. The major results indicate that primary areas of intervention needed to improve outcomes for these high-risk individuals include access to stable housing and employment, aftercare services and positive support networks; expanded discharge planning services and transitional assistance; and funding to address gaps in service delivery and to meet individuals' basic needs. This study contributes to the literature by identifying transition barriers and facilitators from the perspectives of individuals in residential treatment, and by using the socio-ecological model to understand the complexity of this transition at multiple levels. Findings identify potential targets for enhanced support post-discharge from residential treatment. Copyright © 2016 Elsevier Inc. All rights reserved.

Nonfatal residential fire-related injuries treated in emergency departments--United States, 2001.

PubMed

2003-09-26

During 2000, the most recent year for which national mortality data are available, 3,907 persons died in the United States from fire-related injuries; residential fires accounted for 2,955 (76%) of these deaths. The National Fire Protection Association (NFPA) reported that approximately 396,500 residential fires occurred in 2001. Injuries from residential fires are preventable by improving awareness of the common causes of fires and by using simple interventions (e.g., properly maintained smoke alarms and fire escape plans). Surveillance of fire-related injuries can aid prevention by increasing the understanding of these injuries and by identifying at-risk populations to target for interventions and education. To characterize nonfatal residential fire-related injuries treated in U.S. hospital emergency departments (EDs) during 2001, CDC analyzed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP). This report summarizes the results of that analysis, which indicate that, in 2001, an estimated 25,717 nonfatal residential fire-related injuries were treated in U.S. hospital EDs. Fire prevention and safety interventions and education should target at-risk populations for fire-related injuries.

Epidemiological Characteristics and Space-Time Analysis of the 2015 Dengue Outbreak in the Metropolitan Region of Tainan City, Taiwan

PubMed Central

Ng, Ka-Chon; Nguyen, Thi Luong

2018-01-01

The metropolitan region of Tainan City in southern Taiwan experienced a dengue outbreak in 2015. This manuscript describes basic epidemiological features of this outbreak and uses spatial and temporal analysis tools to understand the spread of dengue during the outbreak. The analysis found that, independently of gender, dengue incidence rate increased with age, and proportionally affected more males below the age of 40 years but females above the age of 40 years. A spatial scan statistic was applied to detect clusters of disease transmission. The scan statistic found that dengue spread in a north-south diffusion direction, which is across the North, West-Central and South districts of Tainan City. Spatial regression models were used to quantify factors associated with transmission. This analysis indicated that neighborhoods with high proportions of residential area (or low wetland cover) were associated with dengue transmission. However, these association patterns were non-linear. The findings presented here can help Taiwanese public health agencies to understand the fundamental epidemiological characteristics and diffusion patterns of the 2015 dengue outbreak in Tainan City. This type of information is fundamental for policy making to prevent future uncontrolled dengue outbreaks, given that results from this study suggest that control interventions should be emphasized in the North and West-Central districts of Tainan city, in areas with a moderate percentage of residential land cover. PMID:29495351

Epidemiological Characteristics and Space-Time Analysis of the 2015 Dengue Outbreak in the Metropolitan Region of Tainan City, Taiwan.

PubMed

Chuang, Ting-Wu; Ng, Ka-Chon; Nguyen, Thi Luong; Chaves, Luis Fernando

2018-02-26

The metropolitan region of Tainan City in southern Taiwan experienced a dengue outbreak in 2015. This manuscript describes basic epidemiological features of this outbreak and uses spatial and temporal analysis tools to understand the spread of dengue during the outbreak. The analysis found that, independently of gender, dengue incidence rate increased with age, and proportionally affected more males below the age of 40 years but females above the age of 40 years. A spatial scan statistic was applied to detect clusters of disease transmission. The scan statistic found that dengue spread in a north-south diffusion direction, which is across the North, West-Central and South districts of Tainan City. Spatial regression models were used to quantify factors associated with transmission. This analysis indicated that neighborhoods with high proportions of residential area (or low wetland cover) were associated with dengue transmission. However, these association patterns were non-linear. The findings presented here can help Taiwanese public health agencies to understand the fundamental epidemiological characteristics and diffusion patterns of the 2015 dengue outbreak in Tainan City. This type of information is fundamental for policy making to prevent future uncontrolled dengue outbreaks, given that results from this study suggest that control interventions should be emphasized in the North and West-Central districts of Tainan city, in areas with a moderate percentage of residential land cover.

Thermal performance of phase change wallboard for residential cooling application

DOE Office of Scientific and Technical Information (OSTI.GOV)

Feustel, H.E.; Stetiu, C.

1997-04-01

Cooling of residential California buildings contributes significantly to electrical consumption and peak power demand mainly due to very poor load factors in milder climates. Thermal mass can be utilized to reduce the peak-power demand, downsize the cooling systems, and/or switch to low-energy cooling sources. Large thermal storage devices have been used in the past to overcome the shortcomings of alternative cooling sources, or to avoid high demand charges. The manufacturing of phase change material (PCM) implemented in gypsum board, plaster or other wall-covering material, would permit the thermal storage to become part of the building structure. PCMs have two importantmore » advantages as storage media: they can offer an order-of-magnitude increase in thermal storage capacity, and their discharge is almost isothermal. This allows the storage of high amounts of energy without significantly changing the temperature of the room envelope. As heat storage takes place inside the building, where the loads occur, rather than externally, additional transport energy is not required. RADCOOL, a thermal building simulation program based on the finite difference approach, was used to numerically evaluate the latent storage performance of treated wallboard. Extended storage capacity obtained by using double PCM-wallboard is able to keep the room temperatures close to the upper comfort limits without using mechanical cooling. Simulation results for a living room with high internal loads and weather data for Sunnyvale, California, show significant reduction of room air temperature when heat can be stored in PCM-treated wallboards.« less

Go Deeper, Go Deeper: Understanding submarine command and control during the completion of dived tracking operations.

PubMed

Roberts, Aaron P J; Stanton, Neville A; Fay, Daniel T

2018-05-01

This is a world's first-of-a-kind study providing empirical evidence for understanding submarine control room performance when completing higher and lower demand Dived Tracking (DT) scenarios. A submarine control room simulator was built, using a non-commercial version of Dangerous Waters as the simulation engine. The creation of networked workstations allowed a team of nine operators to perform tasks completed by submarine command teams during DT. The Event Analysis of Systemic Teamwork (EAST) method was used to model the social, task and information networks and describe command team performance. Ten teams were recruited for the study, affording statistical comparisons of how command team roles and level of demand affected performance. Results indicate that command teams can covertly DT a contact differently depending on demand (e.g. volume of contacts). In low demand it was possible to use periscope more often than in high demand, in a 'duck-and-run' fashion. Therefore, the type of information and frequency of particular task completion, was significantly different between the higher and lower demand conditions. This resulted in different operators in the command team experiencing greater demand depending on how the DT mission objective was completed. Potential bottlenecks in the command team were identified and implications are discussed alongside suggestions for future work. Copyright © 2018 Elsevier Ltd. All rights reserved.

Modeling high resolution space-time variations in energy demand/CO2 emissions of human inhabited landscapes in the United States under a changing climate

NASA Astrophysics Data System (ADS)

Godbole, A. V.; Gurney, K. R.

2010-12-01

With urban and exurban areas now accounting for more than 50% of the world's population, projected to increase 20% by 2050 (UN World Urbanization Prospects, 2009), urban-climate interactions are of renewed interest to the climate change scientific community (Karl et. al, 1988; Kalnay and Cai, 2003; Seto and Shepherd, 2009). Until recently, climate modeling efforts treated urban-human systems as independent of the earth system. With studies pointing to the disproportionately large influence of urban areas on their surrounding environment (Small et. al, 2010), modeling efforts have begun to explicitly account for urban processes in land models, like the CLM 4.0 urban layer, for example (Oleson.et. al, 2008, 2010). A significant portion of the urban energy demand comes from the space heating and cooling requirement of the residential and commercial sectors - as much as 51% (DOE, RECS 2005) and 11% (Belzer, D. 2006) respectively, in the United States. Thus, these sectors are both responsible for a significant fraction of fossil fuel CO2 emissions and will be influenced by a changing climate through changes in energy use and energy supply planning. This points to the possibility of interactive processes and feedbacks with the climate system. Space conditioning energy demand is strongly driven by external air temperature (Ruth, M. et.al, 2006) in addition to other socio-economic variables such as building characteristics (age of structure, activity cycle, weekend/weekday usage profile), occupant characteristics (age of householder, household income) and energy prices (Huang, 2006; Santin et. al, 2009; Isaac and van Vuuren, 2009). All of these variables vary both in space and time. Projections of climate change have begun to simulate changes in temperature at much higher resolution than in the past (Diffenbaugh et. al, 2005). Hence, in order to understand how climate change and variability will potentially impact energy use/emissions and energy planning, these two components of the human-climate system must be coupled in climate modeling efforts to better understand the impacts and feedbacks. To implement modeling strategies for coupling the human and climate systems, their interactions must first be examined in greater detail at high spatial and temporal resolutions. This work attempts to quantify the impact of high resolution variations in projected climate change on energy use/emissions in the United States. We develop a predictive model for the space heating component of residential and commercial energy demand by leveraging results from the high resolution fossil fuel CO2 inventory of the Vulcan Project (Gurney et al., 2009). This predictive model is driven by high resolution temperature data from the RegCM3 model obtained by implementing a downscaling algorithm (Chow and Levermore, 2007). We will present the energy use/emissions in both the space and time domain from two different predictive models highlighting strengths and weaknesses in both. Furthermore, we will explore high frequency variations in the projected temperature field and how these might place potentially large burdens on energy supply and delivery.

Progress and Understanding Spatial and Temporal Variability of PM2.5 and its Components in the Detroit Exposure and Aerosol Research Study (DEARS)

EPA Science Inventory

The Detroit Exposure and Aerosol Research Study (DEARS) measured personal exposures, ambient, residential indoor and residential outdoor concentrations of select PM_2.5 aerosol components (SO₄, NO₃, Fe, Si, Ca, K, Mn, Pb, Zn, EC and OC) over a thr...

Student-to-Student Abuse in the Indian Residential Schools in Canada: Setting the Stage for Further Understanding

ERIC Educational Resources Information Center

Charles, Grant; DeGagné, Mike

2013-01-01

The Indian residential school system in Canada was established to assimilate Aboriginal children into mainstream society by removing the "Indian within them." In the past 20 years survivors of the schools have come forward with stories of physical and sexual abuse perpetrated against them by staff. However, what is significantly less…

Index of Property Tax Non-Uniformity Among School Districts in New York State.

ERIC Educational Resources Information Center

New York State Div. of the Budget, Albany. Education Study Unit.

This report measures the inequities in school taxes on New York State residential property that result from assessment nonuniformity. The index of nonuniformity is a measure of the average percentage difference in school tax bills paid by owners of like residential properties in the same school district but in separate assessing units. Using this…

Documentation for Students in Residential Care: Network of Relations of Human and Non-Human Actants

ERIC Educational Resources Information Center

Severinsson, Susanne

2016-01-01

Swedish and international research points to serious problems for the education of students with social, emotional and behavioural difficulties (SEBD) in the care of social welfare, for example, in residential care. The aim of this article is to elucidate how documentation, care plans (CPs) and individual educational plans (IEPs) outline the…

Psychotherapy services outside the National Health Service.

PubMed

Kroll, U

1976-02-01

With the help of an Upjohn Travelling Fellowship, I visited 15 units providing services for people under stress. There were nine residential units and six non-residential units, all were Christian charitable organisations and in all there was close co-operation with the medical profession.All these organisations accept referrals from general practitioners and deserve to be more widely known.

Significant Improvement in Sleep in People with Intellectual Disabilities Living in Residential Settings by Non-Pharmaceutical Interventions

ERIC Educational Resources Information Center

Hylkema, T.; Vlaskamp, C.

2009-01-01

Background: Although about 15 to 50 percent of people with intellectual disabilities (ID) living in residential settings suffer from sleep problems, scant attention is paid to these problems. Most available studies focus on pharmaceutical solutions. In this study we focus on improving sleep in people with intellectual disabilities living in…

24 CFR 570.511 - Use of escrow accounts for rehabilitation of privately owned residential property.

Code of Federal Regulations, 2010 CFR

2010-04-01

... Regulations Relating to Housing and Urban Development (Continued) OFFICE OF ASSISTANT SECRETARY FOR COMMUNITY... neighborhood-scale non-residential space within the same structure, if any, e.g., a store front below a... rehabilitation services costs under § 570.202(b)(9), are not permissible uses of escrowed funds. Such other...

24 CFR 1003.511 - Use of escrow accounts for rehabilitation of privately owned residential property.

Code of Federal Regulations, 2010 CFR

2010-04-01

... Regulations Relating to Housing and Urban Development (Continued) OFFICE OF ASSISTANT SECRETARY FOR PUBLIC AND... neighborhood-scale non-residential space within the same structure, if any, e.g., a store front below a... loan or grant, e.g., the grantee's administrative costs under § 1003.206 or rehabilitation services...

40 CFR 158.2174 - Experimental use permit microbial pesticides nontarget organisms and environmental fate data...

Code of Federal Regulations, 2014 CFR

2014-07-01

..., residential, and industrial). Terrestrial uses include: Food, Feed, Non-Food, Forestry, Residential outdoor, greenhouse (food and food), Indoor (food and nonfood), and Industrial. (c) Key. R=Required; CR=Conditionally... Indoor Food/Nonfood Industrial Test Substance Test Notes 885.4050 Avian oraltoxicity NR R R R R NR NR NR...

40 CFR 158.2174 - Experimental use permit microbial pesticides nontarget organisms and environmental fate data...

Code of Federal Regulations, 2013 CFR

2013-07-01

..., residential, and industrial). Terrestrial uses include: Food, Feed, Non-Food, Forestry, Residential outdoor, greenhouse (food and food), Indoor (food and nonfood), and Industrial. (c) Key. R=Required; CR=Conditionally... Indoor Food/Nonfood Industrial Test Substance Test Notes 885.4050 Avian oraltoxicity NR R R R R NR NR NR...

40 CFR 158.2174 - Experimental use permit microbial pesticides nontarget organisms and environmental fate data...

Code of Federal Regulations, 2012 CFR

2012-07-01

..., residential, and industrial). Terrestrial uses include: Food, Feed, Non-Food, Forestry, Residential outdoor, greenhouse (food and food), Indoor (food and nonfood), and Industrial. (c) Key. R=Required; CR=Conditionally... Indoor Food/Nonfood Industrial Test Substance Test Notes 885.4050 Avian oraltoxicity NR R R R R NR NR NR...

Grassroots Movement Building and Preemption in the Campaign for Residential Fire Sprinklers

PubMed Central

Hobart, Robin; Paloma, Marjorie; Larkin, Michelle A.; Balbach, Edith D.

2013-01-01

Home fires account for 85% of fire deaths in the United States, the majority in 1- or 2-family homes lacking fire sprinklers. Since 1978, however, a grassroots movement has successfully promoted more than 360 local ordinances mandating sprinklers in all new residential construction, including 1- and 2-family homes. The homebuilding industry has responded by seeking state preemption of local authority, a strategy previously used by other industries concerned about protecting their profits. From 2009 through 2011, 13 states adopted laws eliminating or limiting local authority over residential fire sprinklers. This study of the residential sprinkler movement adds to our understanding of grassroots public health movements and provides additional evidence that preemption can have a negative impact on public health and safety. PMID:23948005

Barrios, ghettos, and residential racial composition: Examining the racial makeup of neighborhood profiles and their relationship to self-rated health.

PubMed

Booth, Jaime M; Teixeira, Samantha; Zuberi, Anita; Wallace, John M

2018-01-01

Racial/ethnic disparities in self-rated health persist and according to the social determinants of health framework, may be partially explained by residential context. The relationship between neighborhood factors and self-rated health has been examined in isolation but a more holistic approach is needed to understand how these factors may cluster together and how these neighborhood typologies relate to health. To address this gap, we conducted a latent profile analysis using data from the Chicago Community Adult Health Study (CCAHS; N = 2969 respondents in 342 neighborhood clusters) to identify neighborhood profiles, examined differences in neighborhood characteristics among the identified typologies and tested their relationship to self-rated health. Results indicated four distinct classes of neighborhoods that vary significantly on most neighborhood-level social determinants of health and can be defined by racial/ethnic composition and class. Residents in Hispanic, majority black disadvantaged, and majority black non-poor neighborhoods all had significantly poorer self-rated health when compared to majority white neighborhoods. The difference between black non-poor and white neighborhoods in self-rated health was not significant when controlling for individual race/ethnicity. The results indicate that neighborhood factors do cluster by race and class of the neighborhood and that this clustering is related to poorer self-rated health. Copyright © 2017. Published by Elsevier Inc.

Diversity in fathers' food parenting practices: A qualitative exploration within a heterogeneous sample.

PubMed

Khandpur, Neha; Charles, Jo; Blaine, Rachel E; Blake, Christine; Davison, Kirsten

2016-06-01

Food parenting practices (FPPs) are important in shaping children's dietary behaviors. However, existing FPP knowledge is largely based on research with mothers. This study (1) identified fathers' FPPs; (2) described differences in FPP use by fathers' education and residential status. Semi-structured interviews were conducted with 40 fathers (39 ± 9.1 years; 37.5% non-residential; 40% ≥college education). Interviews were audio-recorded and transcribed. NVivo 10 was used for theme detection, categorization and classification using inductive and deductive approaches. FPPs were identified and their relative distribution was examined across education and residential status. Twenty FPPs were identified - 13 responsive practices and 7 unresponsive practices. Having food rules was the most common responsive FPP (81.5%), followed by feeding on schedule (60%) and making healthy food accessible (60%). Common unresponsive FPPs were letting child dictate preferences (70%), incentivizing food consumption (60%) and pressuring the child to eat (35%). Compared to fathers with a college education, more fathers without a college education reported letting child dictate preferences (92% vs. 37%), educating their children about food (37% vs 12%), fewer reported feeding on schedule (50% vs. 75%), modeling healthy practices (29% vs. 50%), and using distraction to feed (4% vs. 37%). Compared to residential fathers, more non-residential fathers monitored (60% vs. 40%) or encouraged (60% vs. 36%) child food intake and let child dictate preferences (87% vs. 60%). Fathers used an extensive variety of FPPs, similar to those identified in mothers. Further study on the influence of fathers' education and residential status on FPP use is warranted. Copyright © 2016 Elsevier Ltd. All rights reserved.

Diversity in fathers’ food parenting practices: A qualitative exploration within a heterogeneous sample

PubMed Central

Khandpur, Neha; Charles, Jo; Blaine, Rachel E.; Blake, Christine; Davison, Kirsten

2017-01-01

Background Food parenting practices (FPPs) are important in shaping children’s dietary behaviors. However, existing FPP knowledge is largely based on research with mothers. Purpose This study (1) identified fathers’ FPPs; (2) described differences in FPP use by fathers’ education and residential status. Methods Semi-structured interviews were conducted with 40 fathers (39 ± 9.1 years; 37.5% non-residential; 40% ≥college education). Interviews were audio-recorded and transcribed. NVivo 10 was used for theme detection, categorization and classification using inductive and deductive approaches. FPPs were identified and their relative distribution was examined across education and residential status. Results Twenty FPPs were identified - 13 responsive practices and 7 unresponsive practices. Having food rules was the most common responsive FPP (81.5%), followed by feeding on schedule (60%) and making healthy food accessible (60%). Common unresponsive FPPs were letting child dictate preferences (70%), incentivizing food consumption (60%) and pressuring the child to eat (35%). Compared to fathers with a college education, more fathers without a college education reported letting child dictate preferences (92% vs. 37%), educating their children about food (37% vs 12%), fewer reported feeding on schedule (50% vs. 75%), modeling healthy practices (29% vs. 50%), and using distraction to feed (4% vs. 37%). Compared to residential fathers, more non-residential fathers monitored (60% vs. 40%) or encouraged (60% vs. 36%) child food intake and let child dictate preferences (87% vs. 60%). Conclusions Fathers used an extensive variety of FPPs, similar to those identified in mothers. Further study on the influence of fathers’ education and residential status on FPP use is warranted. PMID:26930383

American Recovery and Reinvestment Act of 2009. Experiences from the Consumer Behavior Studies on Engaging Customers

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cappers, Peter; Scheer, Richard

2014-09-01

One of the most important aspects for the successful implementation of customer-facing programs is to better understand how to engage and communicate with consumers. Customer-facing programs include time-based rates, information and feedback, load management, and energy efficiency. This report presents lessons learned by utilities through consumer behavior studies (CBS) conducted as part of the Department of Energy’s (DOE) Smart Grid Investment Grant (SGIG) program. The SGIG CBS effort presents a unique opportunity to advance the understanding of consumer behaviors in terms of customer acceptance and retention, and electricity consumption and peak demand impacts. The effort includes eleven comprehensive studies withmore » the aim of evaluating the response of residential and small commercial customers to time-based rate programs implemented in conjunction with advanced metering infrastructure and customer systems such as in-home displays, programmable communicating thermostats, and web portals. DOE set guidelines and protocols that sought to help the utilities design studies that would rigorously test and more precisely estimate the impact of time-based rates on customers’ energy usage patterns, as well as identify the key drivers that motivate behavioral changes.« less

Cost effectiveness analysis of a smoke alarm giveaway program in Oklahoma City, Oklahoma.

PubMed

Haddix, A C; Mallonee, S; Waxweiler, R; Douglas, M R

2001-12-01

To estimate the cost effectiveness of the Lifesavers Residential Fire and Injury Prevention Program (LRFIPP), a smoke alarm giveaway program. In 1990, the LRFIPP distributed over 10,000 smoke alarms in an area of Oklahoma City at high risk for residential fire injuries. The program also included fire prevention education and battery replacement components. A cost effectiveness analysis was conducted from the societal and health care systems perspectives. The study compared program costs with the total costs of medical treatment and productivity losses averted over a five year period. Fatal and non-fatal residential fire related injuries prevented were estimated from surveillance data. Medical costs were obtained from chart reviews of patients with fire related injuries that occurred during the pre-intervention period. During the five years post-intervention, it is estimated that the LRFIPP prevented 20 fatal and 24 non-fatal injuries. From the societal perspective, the total discounted cost of the program was $531,000. Total discounted net savings exceeded $15 million. From the health care system perspective, the total discounted net savings were almost $1 million and would have a net saving even if program effectiveness was reduced by 64%. The program was effective in reducing fatal and non-fatal residential fire related injuries and was cost saving. Similar programs in other high risk areas would be good investments even if program effectiveness was lower than that achieved by the LRFIPP.

A High Resolution Technology-based Emissions Inventory for Nepal: Present and Future Scenario

NASA Astrophysics Data System (ADS)

Sadavarte, P.; Das, B.; Rupakheti, M.; Byanju, R.; Bhave, P.

2016-12-01

A comprehensive regional assessment of emission sources is a major hindrance for a complete understanding of the air quality and for designing appropriate mitigation solutions in Nepal, a landlocked country in foothills of the Himalaya. This study attempts, for the first time, to develop a fine resolution (1km × 1km) present day emission inventory of Nepal with a higher tier approach using our understanding of the currently used technologies, energy consumption used in various energy sectors and its resultant emissions. We estimate present-day emissions of aerosols (BC, OC and PM2.5), trace gases (SO2, CO, NOX and VOC) and greenhouse gases (CO2, N2O and CH4) from non-open burning sources (residential, industry, transport, commercial) and open-burning sources (agriculture and municipal solid waste burning) for the base year 2013. We used methodologies published in literatures, and both primary and secondary data to estimate energy production and consumption in each sector and its sub-sector and associated emissions. Local practices and activity rates are explicitly accounted for energy consumption and dispersed often under-documented emission sources like brick manufacturing, diesel generator sets, mining, stone crushing, solid waste burning and diesel use in farms are considered. Apart from pyrogenic source of CH4 emissions, methanogenic and enteric fermentation sources are also accounted. Region-specific and newly measured country-specific emission factors are used for emission estimates. Activity based proxies are used for spatial and temporal distribution of emissions. Preliminary results suggest that 80% of national energy consumption is in residential sector followed by industry (8%) and transport (7%). More than 90% of the residential energy is supplied by biofuel which needs immediate attention to reduce emissions. Further, the emissions would be compared with other contemporary studies, regional and global datasets and used in the model simulations to understand impacts of air pollution on health and climate in Kathmandu Valley and Nepal. Future emissions are being developed based on different possible growth scenarios and policy interventions to mitigate emissions.

Thermal energy storage and transport

NASA Technical Reports Server (NTRS)

Hausz, W.

1980-01-01

The extraction of thermal energy from large LWR and coal fired plants for long distance transport to industrial and residential/commercial users is analyzed. Transport of thermal energy as high temperature water is shown to be considerably cheaper than transport as steam, hot oil, or molten salt over a wide temperature range. The delivered heat is competitive with user-generated heat from oil, coal, or electrode boilers at distances well over 50 km when the pipeline operates at high capacity factor. Results indicate that thermal energy storage makes meeting of even very low capacity factor heat demands economic and feasible and gives the utility flexibility to meet coincident electricity and heat demands effectively.

Residential Radon Exposure and Incidence of Childhood Lymphoma in Texas, 1995–2011

PubMed Central

Peckham, Erin C.; Scheurer, Michael E.; Danysh, Heather E.; Lubega, Joseph; Langlois, Peter H.; Lupo, Philip J.

2015-01-01

There is warranted interest in assessing the association between residential radon exposure and the risk of childhood cancer. We sought to evaluate the association between residential radon exposure and the incidence of childhood lymphoma in Texas. The Texas Cancer Registry (n = 2147) provided case information for the period 1995–2011. Denominator data were obtained from the United States Census. Regional arithmetic mean radon concentrations were obtained from the Texas Indoor Radon Survey and linked to residence at diagnosis. Exposure was assessed categorically: ≤25th percentile (reference), >25th to ≤50th percentile, >50th to ≤75th percentile, and >75th percentile. Negative binomial regression generated adjusted incidence rate ratios (aIRR) and 95% confidence intervals (CI). We evaluated lymphoma overall and by subtype: Hodgkin (HL; n = 1248), Non-Hodgkin excluding Burkitt (non-BL NHL; n = 658), Burkitt (BL; n = 241), and Diffuse Large B-cell (DLBCL; n = 315). There was no evidence that residential radon exposure was positively associated with lymphoma overall, HL, or BL. Areas with radon concentrations >75th percentile had a marginal increase in DLBCL incidence (aIRR = 1.73, 95% CI: 1.03–2.91). In one of the largest studies of residential radon exposure and the incidence of childhood lymphoma, we found little evidence to suggest a positive or negative association; an observation consistent with previous studies. PMID:26404336

Residential Radon Exposure and Incidence of Childhood Lymphoma in Texas, 1995-2011.

PubMed

Peckham, Erin C; Scheurer, Michael E; Danysh, Heather E; Lubega, Joseph; Langlois, Peter H; Lupo, Philip J

2015-09-25

There is warranted interest in assessing the association between residential radon exposure and the risk of childhood cancer. We sought to evaluate the association between residential radon exposure and the incidence of childhood lymphoma in Texas. The Texas Cancer Registry (n = 2147) provided case information for the period 1995-2011. Denominator data were obtained from the United States Census. Regional arithmetic mean radon concentrations were obtained from the Texas Indoor Radon Survey and linked to residence at diagnosis. Exposure was assessed categorically: ≤25th percentile (reference), >25th to ≤50th percentile, >50th to ≤75th percentile, and >75th percentile. Negative binomial regression generated adjusted incidence rate ratios (aIRR) and 95% confidence intervals (CI). We evaluated lymphoma overall and by subtype: Hodgkin (HL; n = 1248), Non-Hodgkin excluding Burkitt (non-BL NHL; n = 658), Burkitt (BL; n = 241), and Diffuse Large B-cell (DLBCL; n = 315). There was no evidence that residential radon exposure was positively associated with lymphoma overall, HL, or BL. Areas with radon concentrations >75th percentile had a marginal increase in DLBCL incidence (aIRR = 1.73, 95% CI: 1.03-2.91). In one of the largest studies of residential radon exposure and the incidence of childhood lymphoma, we found little evidence to suggest a positive or negative association; an observation consistent with previous studies.

Critical factors for achieving multiple goals with water tariff systems: Combining limited data sources and expert testimony

NASA Astrophysics Data System (ADS)

Dalhuisen, Jasper; Nijkamp, Peter

2002-07-01

Price instruments are well-known policy handles to influence effectively residential water demand. Prices used to be set by water authorities in such a way that the principle of cost coverage was respected; they acted as prominent instruments in residential water policies in the past decades. More recently, however, price instruments are increasingly used to meet simultaneously financial, environmental, and social goals. This paper addresses four conditions for an appropriate tariff system for residential water use which are often found in the recent literature on the economics of water use. The paper analyzes the importance of background factors (e.g., low water availability) of these four principles as well as the extent to which actual tariff systems are employed in five mutually contrasting cities (Amsterdam, Athens, London, Seville, and Tel Aviv). Meta-analytic techniques, in particular, rough set analysis stemming from artificial intelligence, are applied to identify the common underlying relations between background factors and success of achieving multiple goals in these five urban case studies. The paper concludes with policy recommendations.

Unbundled infrastructure firms: Competition and continuing regulation

NASA Astrophysics Data System (ADS)

Hogendorn, Christiaan Paul

Unbundled infrastructure firms provide conduits for electricity transmission, residential communications, etc. but are vertically disintegrated from "content" functions such as electricity generation or world-wide-web pages. These conduits are being deregulated, and this dissertation examines whether the deregulated conduits will behave in an efficient and competitive manner. The dissertation presents three essays, each of which develops a theoretical model of the behavior of conduit firms in a market environment. The first essay considers the prospects for competition between multiple conduits in the emerging market for broadband (high-speed) residential Internet access. It finds that such competition is likely to emerge as demand for these services increase. The second essay shows how a monopoly electricity or natural gas transmission conduit can facilitate collusion between suppliers of the good. It shows that this is an inefficient effect of standard price-cap regulation. The third essay considers the supply chain of residential Internet access and evaluates proposed "open access" regulation that would allow more than one firm to serve customers over the same physical infrastructure. It shows that the amount of content available to consumers does not necessarily increase under open access.

Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.

2015-01-01

This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, andmore » end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to perform detailed hourly impact studies of building adaptation and mitigation strategies on energy use and electricity peak demand within the context of the entire grid and economy.« less

Estimation of Energy Consumption and Greenhouse Gas Emissions considering Aging and Climate Change in Residential Sector

NASA Astrophysics Data System (ADS)

Lee, M.; Park, C.; Park, J. H.; Jung, T. Y.; Lee, D. K.

2015-12-01

The impacts of climate change, particularly that of rising temperatures, are being observed across the globe and are expected to further increase. To counter this phenomenon, numerous nations are focusing on the reduction of greenhouse gas (GHG) emissions. Because energy demand management is considered as a key factor in emissions reduction, it is necessary to estimate energy consumption and GHG emissions in relation to climate change. Further, because South Korea is the world's fastest nation to become aged, demographics have also become instrumental in the accurate estimation of energy demands and emissions. Therefore, the purpose of this study is to estimate energy consumption and GHG emissions in the residential sectors of South Korea with regard to climate change and aging to build more accurate strategies for energy demand management and emissions reduction goals. This study, which was stablished with 2010 and 2050 as the base and target years, respectively, was divided into a two-step process. The first step evaluated the effects of aging and climate change on energy demand, and the second estimated future energy use and GHG emissions through projected scenarios. First, aging characteristics and climate change factors were analyzed by using the logarithmic mean divisia index (LMDI) decomposition analysis and the application of historical data. In the analysis of changes in energy use, the effects of activity, structure, and intensity were considered; the degrees of contribution were derived from each effect in addition to their relations to energy demand. Second, two types of scenarios were stablished based on this analysis. The aging scenarios are business as usual and future characteristics scenarios, and were used in combination with Representative Concentration Pathway (RCP) 2.6 and 8.5. Finally, energy consumption and GHG emissions were estimated by using a combination of scenarios. The results of these scenarios show an increase in energy consumption and GHG emissions from 2010 to 2050. This growth is caused by increases in heating energy because the elderly generally spend more time at home, and cooling energy owing to rising temperatures. This study will be useful in the preparation of energy demand management policies and the establishment and attainability of GHG emissions reduction goals.

Spatial access to residential care resources in Beijing, China

PubMed Central

2012-01-01

Background As the population is ageing rapidly in Beijing, the residential care sector is in a fast expansion process with the support of the municipal government. Understanding spatial accessibility to residential care resources by older people supports the need for rational allocation of care resources in future planning. Methods Based on population data and data on residential care resources, this study uses two Geographic Information System (GIS) based methods – shortest path analysis and a two-step floating catchment area (2SFCA) method to analyse spatial accessibility to residential care resources. Results Spatial accessibility varies as the methods and considered factors change. When only time distance is considered, residential care resources are more accessible in the central city than in suburban and exurban areas. If care resources are considered in addition to time distance, spatial accessibility is relatively poor in the central city compared to the northeast to southeast side of the suburban and exurban areas. The resources in the northwest to southwest side of the city are the least accessible, even though several hotspots of residential care resources are located in these areas. Conclusions For policy making, it may require combining various methods for a comprehensive analysis. The methods used in this study provide tools for identifying underserved areas in order to improve equity in access to and efficiency in allocation of residential care resources in future planning. PMID:22877360

Prediction Models for Dynamic Demand Response

DOE Office of Scientific and Technical Information (OSTI.GOV)

Aman, Saima; Frincu, Marc; Chelmis, Charalampos

2015-11-02

As Smart Grids move closer to dynamic curtailment programs, Demand Response (DR) events will become necessary not only on fixed time intervals and weekdays predetermined by static policies, but also during changing decision periods and weekends to react to real-time demand signals. Unique challenges arise in this context vis-a-vis demand prediction and curtailment estimation and the transformation of such tasks into an automated, efficient dynamic demand response (D 2R) process. While existing work has concentrated on increasing the accuracy of prediction models for DR, there is a lack of studies for prediction models for D 2R, which we address inmore » this paper. Our first contribution is the formal definition of D 2R, and the description of its challenges and requirements. Our second contribution is a feasibility analysis of very-short-term prediction of electricity consumption for D 2R over a diverse, large-scale dataset that includes both small residential customers and large buildings. Our third, and major contribution is a set of insights into the predictability of electricity consumption in the context of D 2R. Specifically, we focus on prediction models that can operate at a very small data granularity (here 15-min intervals), for both weekdays and weekends - all conditions that characterize scenarios for D 2R. We find that short-term time series and simple averaging models used by Independent Service Operators and utilities achieve superior prediction accuracy. We also observe that workdays are more predictable than weekends and holiday. Also, smaller customers have large variation in consumption and are less predictable than larger buildings. Key implications of our findings are that better models are required for small customers and for non-workdays, both of which are critical for D 2R. Also, prediction models require just few days’ worth of data indicating that small amounts of historical training data can be used to make reliable predictions, simplifying the complexity of big data challenge associated with D 2R.« less

Non-Residential Father-Child Involvement, Interparental Conflict and Mental Health of Children Following Divorce: A Person-Focused Approach.

PubMed

Elam, Kit K; Sandler, Irwin; Wolchik, Sharlene; Tein, Jenn-Yun

2016-03-01

Variable-centered research has found complex relationships between child well-being and two critical aspects of the post-divorce family environment: the level of non-residential father involvement (i.e., contact and supportive relationship) with their children and the level of conflict between the father and mother. However, these analyses fail to capture individual differences based on distinct patterns of interparental conflict, father support and father contact. Using a person-centered latent profile analysis, the present study examined (1) profiles of non-residential father contact, support, and interparental conflict in the 2 years following divorce (N = 240), when children (49 % female) were between 9 and 12 years of age and (2) differences across profiles in concurrent child adjustment outcomes as well as outcomes 6 years later. Four profiles of father involvement were identified: High Contact-Moderate Conflict-Moderate Support, Low Contact-Moderate Conflict-Low Support, High Conflict-Moderate Contact-Moderate Support, and Low Conflict-Moderate Contact-Moderate Support. Concurrently, children with fathers in the group with high conflict were found to have significantly greater internalizing and externalizing problems compared to all other groups. Six years later, children with fathers in the group with low contact and low support were found to have greater internalizing and externalizing problems compared to children with fathers in the high conflict group, and also greater internalizing problems compared to children with fathers in the low conflict group. These results provide insight into the complex relationship among non-residential fathers' conflict, contact, and support in child adjustment within divorcing families.

Residential and occupational exposure to sunlight and mortality from non-Hodgkin's lymphoma: composite (threefold) case-control study.

PubMed Central

Freedman, D. M.; Zahm, S. H.; Dosemeci, M.

1997-01-01

OBJECTIVE: To determine whether non-Hodgkin's lymphoma mortality is associated with sunlight exposure. DESIGN: Three case-control studies based on death certificates of non-Hodgkin's lymphoma, melanoma, and skin cancer mortality examining associations with potential sunlight exposure from residence and occupation. SETTING: 24 states in the United States. SUBJECTS: All cases were deaths from non-Hodgkin's lymphoma, melanoma, and non-melanotic skin cancer between 1984 and 1991. Two age, sex, and race frequency matched controls per case were selected from non-cancer deaths. MAIN OUTCOME MEASURES: Odds ratios for non-Hodgkin's lymphoma, melanoma, and skin cancer from residential and occupational sunlight exposure adjusted for age, sex, race, socioeconomic status, and farming occupation. RESULTS: Non-Hodgkin's lymphoma mortality was not positively associated with sunlight exposure based on residence. Both melanoma and skin cancer were positively associated with residential sunlight exposure. Adjusted odds ratios for residing in states with the highest sunlight exposure were 0.83 (95% confidence interval 0.81 to 0.86) for non-Hodgkin's lymphoma, 1.12 (1.06 to 1.19) for melanoma, and 1.30 (1.18 to 1.43) for skin cancer. In addition, non-Hodgkin's lymphoma mortality was not positively associated with occupational sunlight exposure (odds ratio 0.88; 0.81 to 0.96). Skin cancer was slightly positively associated with occupational sunlight exposure (1.14; 0.96 to 1.36). CONCLUSIONS: Unlike skin cancer and to some extent melanoma, non-Hodgkin's lymphoma mortality was not positively associated with exposure to sunlight. The findings do not therefore support the hypothesis that sunlight exposure contributes to the rising rates of non-Hodgkin's lymphoma. PMID:9167561

Investigation of natural gas theft by magnetic remanence mapping.

PubMed

Dobó, Zsolt; Kovács, Helga; Tóth, Pál; Palotás, Árpád B

2014-12-01

Natural gas theft causes major losses in the energy industry in Hungary. Among the non-technical losses occurring in natural gas networks, fraudulent residential consumption is one of the main factors. Up to 2014, gas meters that are most widely used in residential monitoring are manufactured with ferromagnetic moving components, which makes it possible to alter or disrupt the operation of the meters non-intrusively by placing permanent magnets on the casing of the meters. Magnetic remanence mapping was used to investigate a sample of 80 recalled residential meters and detect potentially fraudulent activity. 10% of the meters were found suspect by magnetic remanence measurement, of which 50% were confirmed to be potentially hijacked by further mechanical investigation. The details of the technique are described in this paper, along with experimental results and the discussion of the analysis of the real-world samples. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Risks from Radon: Reconciling Miner and Residential Epidemiology

NASA Astrophysics Data System (ADS)

Chambers, Douglas B.; Harley, Naomi H.

2008-08-01

Everyone is exposed to radon, an inert radioactive gas that occurs naturally and is present everywhere in the atmosphere. The annual dose from radon and its (short-lived) decay products is typically about one-half of the dose received by members of the public from all natural sources of ionizing radiation. Data on exposures and consequent effects have recently been reviewed by the National Council on Radiation Protection and Measurements (NCRP) and the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR). Studies of underground miners provides a well-established basis for estimating risks from occupational exposures to radon and for studying factors that may affect the dose response relationship such as the reduction of risk (coefficients) with increasing time since exposure. Miners' studies previously formed the basis for estimating risks to people exposed to radon at home, with downward extrapolation from exposures in mines to residential levels of radon. Presently, the risk estimates from residential studies are adequate to estimate radon risks in homes. Although there are major uncertainties in extrapolating the risks of exposure to radon from the miner studies to assessing risks in the home, there is remarkably good agreement between the average of risk factors derived from miner studies and those from pooled residential case-control studies. There are now over 20 analytical studies of residential radon and lung cancer. These studies typically assess the relative risk from exposure to radon based on estimates of residential exposure over a period of 25 to 30 years prior to diagnosis of lung cancer. Recent pooled analyses of residential case-control studies support a small but detectable lung cancer risk from residential exposure, and this risk increases with increasing concentrations. The excess relative risk of lung cancer from long-term residential exposure is about the same for both smokers and non-smokers; however, because the baseline lung cancer rate for smokers is much higher than for non or never smokers, smokers account for nearly 90% of the population risk from residential exposure to radon. As described in the paper, an excess relative risk (ERR) of 0.12(95% CI: 0.08-0.2)per 100 Bq m-3 (radon gas) can be estimated from combined miner studies. This compares well with the ERR from pooled residential case-control studies (for restricted analysis) for Europe of 0.16(95% CI: 0.05-0.31)[1] and for North America of 0.11(95% CI: 0.0-0.28)[2].

Effects of residential wastewater treatment systems on ground-water quality in west-central Jefferson County, Colorado

USGS Publications Warehouse

Hall, Dennis C.; Hillier, D.E.; Nickum, Edward; Dorrance, W.G.

1981-01-01

The use of residential wastewater-treatment systems in Evergreen Meadows, Marshdale, and Herzman Mesa, Colo., has degraded ground-water quality to some extent in each community. Age of community; average lot size; slope of land surface; composition, permeability, and thickness of surficial material; density, size , and orientation of fractures; maintenance of wastewater-treatment systems; and presence of animals are factors possibly contributing to the degradation of ground-water quality. When compared with effluent from aeration-treatment tanks, effluent fom septic-treatment tanks is characterized by greater biochemical oxygen demand and greater concentrations of detergents. When compared with effluent from septic-treatment tanks, effluent from aeration-treatment tanks is characterized by greater concentrations of dissolved oxygen, nitrite, nitrate, sulfate, and dissolved solids. (USGS)

Frequency Regulation Services from Connected Residential Devices: Short Paper

DOE Office of Scientific and Technical Information (OSTI.GOV)

Baker, Kyri; Jin, Xin; Vaidhynathan, Deepthi

In this paper, we demonstrate the potential benefits that residential buildings can provide for frequency regulation services in the electric power grid. In a hardware-in-the- loop (HIL) implementation, simulated homes along with a physical laboratory home are coordinated via a grid aggregator, and it is shown that their aggregate response has the potential to follow the regulation signal on a timescale of seconds. Connected (communication-enabled), devices in the National Renewable Energy Laboratory's (NREL's) Energy Systems Integration Facility (ESIF) received demand response (DR) requests from a grid aggregator, and the devices responded accordingly to meet the signal while satisfying user comfortmore » bounds and physical hardware limitations. Future research will address the issues of cybersecurity threats, participation rates, and reducing equipment wear-and-tear while providing grid services.« less

An Alternative to Residential Neighborhoods: An Exploratory Study of how Activity Spaces and Perception of Neighborhood Social Processes relate to Maladaptive Parenting

PubMed Central

Freisthler, Bridget; Thomas, Crystal A.; Curry, Susanna R.; Wolf, Jennifer Price

2015-01-01

Background The environments where parents spend time, such as at work, at their child's school, or with friends and family, may exert a greater influence on their parenting behaviors than the residential neighborhoods where they live. These environments, termed activity spaces, provide individualized information about the where parents go, offering a more detailed understanding of the environmental risks and resources to which parents are exposed. Objective This study conducts a preliminary examination of how neighborhood context, social processes, and individual activity spaces are related to a variety of parenting practices. Methods Data were collected from 42 parents via door-to-door surveys in one neighborhood area. Survey participants provided information about punitive and non-punitive parenting practices, the locations where they conducted daily living activities, social supports, and neighborhood social processes. OLS regression procedures were used to examine covariates related to the size of parent activity spaces. Negative binomial models assessed how activity spaces were related to four punitive and five non-punitive parenting practices. Results With regards to size of parents' activity spaces, male caregivers and those with a local (within neighborhood) primary support member had larger activity spaces. Size of a parent's activity space is negatively related to use of punitive parenting, but generally not related to non-punitive parenting behaviors. Conclusions These findings suggest social workers should assess where parents spend their time and get socially isolated parents involved in activities that could result in less use of punitive parenting. PMID:27057130

Data on European non-residential buildings.

PubMed

D'Agostino, Delia; Cuniberti, Barbara; Bertoldi, Paolo

2017-10-01

This data article relates to the research paper Energy consumption and efficiency technology measures in European non-residential buildings (D'Agostino et al., 2017) [1]. The reported data have been collected in the framework of the Green Building Programme that ran from 2006 to 2014. The project has encouraged the adoption of efficiency measures to boost energy savings in European non-residential buildings. Data focus on the one-thousand buildings that joined the Programme allowing to save around 985 GWh/year. The main requirement to join the Programme was the reduction of at least 25% primary energy consumption in a new or retrofitted building. Energy consumption before and after the renovation are provided for retrofitted buildings while, in new constructions, a building had to be designed using at least 25% less energy than requested by the country's building codes. The following data are linked within this article: energy consumption, absolute and relative savings related to primary energy, saving percentages, implemented efficiency measures and renewables. Further information is given about each building in relation to geometry, envelope, materials, lighting and systems.

Parenting of divorced fathers and the association with children's self-esteem.

PubMed

Bastaits, Kim; Ponnet, Koen; Mortelmans, Dimitri

2012-12-01

Research suggests that high parental support and control improves children's well-being. However, a large part of these studies have focused on the parenting of married parents. Research on parenting after a divorce, mainly has focused on parenting of divorced mothers, with few exceptions concentrating primarily on non-residential fathers. Therefore, we compared both parenting dimensions support and control of fathers in different family structures (non-residential fathers, fathers in joint custody and married fathers). We also investigated the association between fathers' parenting dimensions and children's self-esteem, controlled for the parenting dimensions of the mother. Data from 587 children (50 % girls) between 10 and 18 years old and their parents were examined. Results revealed that non-residential fathers (n = 225) were less supportive and controlling than fathers in joint custody (n = 138) and married fathers (n = 224). Nevertheless, having a supportive father was beneficial to children's self-esteem in each family structure. We conclude that, even after a divorce, fathers have the capacity to enhance children's self-esteem and we suggest that future research should investigate this capacity.

Development of demand forecasting tool for natural resources recouping from municipal solid waste.

PubMed

Zaman, Atiq Uz; Lehmann, Steffen

2013-10-01

Sustainable waste management requires an integrated planning and design strategy for reliable forecasting of waste generation, collection, recycling, treatment and disposal for the successful development of future residential precincts. The success of the future development and management of waste relies to a high extent on the accuracy of the prediction and on a comprehensive understanding of the overall waste management systems. This study defies the traditional concepts of waste, in which waste was considered as the last phase of production and services, by putting forward the new concept of waste as an intermediate phase of production and services. The study aims to develop a demand forecasting tool called 'zero waste index' (ZWI) for measuring the natural resources recouped from municipal solid waste. The ZWI (ZWI demand forecasting tool) quantifies the amount of virgin materials recovered from solid waste and subsequently reduces extraction of natural resources. In addition, the tool estimates the potential amount of energy, water and emissions avoided or saved by the improved waste management system. The ZWI is tested in a case study of waste management systems in two developed cities: Adelaide (Australia) and Stockholm (Sweden). The ZWI of waste management systems in Adelaide and Stockholm is 0.33 and 0.17 respectively. The study also enumerates per capita energy savings of 2.9 GJ and 2.83 GJ, greenhouse gas emissions reductions of 0.39 tonnes (CO2e) and 0.33 tonnes (CO2e), as well as water savings of 2.8 kL and 0.92 kL in Adelaide and Stockholm respectively.

The water footprint of human-made reservoirs for hydropower, irrigation, water supply, flood prevention, fishing and recreation on a global scale

NASA Astrophysics Data System (ADS)

Hogeboom, Rick; Knook, Luuk; Hoekstra, Arjen

2017-04-01

Increasing the availability of freshwater to meet growing and competing demands is on many policy agendas. The Sustainable Development Goals (SDGs) prescribe sustainable management of water for human consumption. For centuries humans have resorted to building dams to store water in periods of excess for use in times of shortage. Although dams and their reservoirs have made important contributions to human development, it is increasingly acknowledged that reservoirs can be substantial water consumers as well. We estimated the water footprint of human-made reservoirs on a global scale and attributed it to the various reservoir purposes (hydropower generation, residential and industrial water supply, irrigation water supply, flood protection, fishing and recreation) based on their economic value. We found that economic benefits from derived products and services from 2235 reservoirs globally, amount to 311 billion US dollar annually, with residential and industrial water supply and hydropower generation as major contributors. The water footprint associated with these benefits is the sum of the water footprint of dam construction (< 1 % contribution) and evaporation from the reservoir's surface area. The latter was calculated as an ensemble mean of four different methods for estimating open water evaporation. The total water footprint of reservoirs globally adds up to ˜104 km3yr-1. Attribution per purpose shows that, with a global average water footprint of 21,5 m3GJ,-1 hydropower on average is a water intensive form of energy. We contextualized the water footprint of reservoirs and their purposes with regard to the water scarcity level of the river basin in which they occur. We found the lion's share (55%) of the water footprint is located in non-water scarce basins and only 1% in year-round scarce basins. The purpose for which the reservoir is primarily used changes with increasing water scarcity, from mainly hydropower generation in non-scarce basins, to the (more essential) purposes residential and industrial water supply, irrigation and flood control in scarcer areas. The quantitative explication of how the burden of water consumption from reservoirs is shared between its beneficiaries as proposed in this study, can contribute to reaching the desired sustainable management of finite freshwater resources as proposed by SDG 6.

Blood pressure in young adulthood and residential greenness in the early-life environment of twins.

PubMed

Bijnens, Esmée M; Nawrot, Tim S; Loos, Ruth Jf; Gielen, Marij; Vlietinck, Robert; Derom, Catherine; Zeegers, Maurice P

2017-06-05

Previous research shows that, besides risk factors in adult life, the early-life environment can influence blood pressure and hypertension in adults. However, the effects of residential traffic exposure and residential greenness in the early-life on blood pressure in young adulthood are currently unknown. Ambulatory (24-h) blood pressures of 278 twins (132 pairs) of the East Flanders Prospective Twins Study were obtained at the age of 18 to 25 years. Prenatal and adulthood residential addresses were geocoded and used to assign prenatal and postnatal traffic and greenness indicators. Mixed modelling was performed to investigate blood pressure in association with greenness while adjusting for potential confounding factors. Night-time systolic blood pressure was inversely associated with greenness at the residential address in twins living at the same address their entire life (non-movers, n = 97, 34.9%). An interquartile increase in residential greenness exposure (1000 m radius) was associated with a 3.59 mmHg (95% CI: -6.0 to -1.23; p = 0.005) lower adult night systolic blood pressure. Among twins who were living at a different address than their birth address at time of the measurement (n = 181, 65.1%), night-time blood pressure was inversely associated with residential surrounding greenness at adult age as well as with residential greenness in early-life. However after additional adjustment for residential greenness exposure in adulthood, only residential greenness exposure in early-life was significantly associated with night systolic blood pressure. While no significant effect of adult residential greenness with adult blood pressure was observed, while accounting for the early-life greenness exposure. Lower residential greenness in the early-life environment was independently associated with a higher adult blood pressure. This indicates that residential greenness has persistent effects on blood pressure.

Building code compliance and enforcement: The experience of San Francisco's residential energy conservation ordinance and California's building standards for new construction

DOE Office of Scientific and Technical Information (OSTI.GOV)

Vine, E.

1990-11-01

As part of Lawrence Berkeley Laboratory's (LBL) technical assistance to the Sustainable City Project, compliance and enforcement activities related to local and state building codes for existing and new construction were evaluated in two case studies. The analysis of the City of San Francisco's Residential Energy Conservation Ordinance (RECO) showed that a limited, prescriptive energy conservation ordinance for existing residential construction can be enforced relatively easily with little administrative costs, and that compliance with such ordinances can be quite high. Compliance with the code was facilitated by extensive publicity, an informed public concerned with the cost of energy and knowledgeablemore » about energy efficiency, the threat of punishment (Order of Abatement), the use of private inspectors, and training workshops for City and private inspectors. The analysis of California's Title 24 Standards for new residential and commercial construction showed that enforcement of this type of code for many climate zones is more complex and requires extensive administrative support for education and training of inspectors, architects, engineers, and builders. Under this code, prescriptive and performance approaches for compliance are permitted, resulting in the demand for alternative methods of enforcement: technical assistance, plan review, field inspection, and computer analysis. In contrast to existing to construction, building design and new materials and construction practices are of critical importance in new construction, creating a need for extensive technical assistance and extensive interaction between enforcement personnel and the building community. Compliance problems associated with building design and installation did occur in both residential and nonresidential buildings. 12 refs., 5 tabs.« less

Improving student satisfaction of Andalas University Dormitory through Service Quality and Importance Performance Analysis

NASA Astrophysics Data System (ADS)

Putri, Nilda Tri; Anggraini, Larisa

2018-03-01

Residential satisfaction of university dormitories serve as one of the significant aspects in the framework of sustainability in higher education. This research investigated the quality of dormitory services in Andalas University Dormitory based on student’s satisfaction. According to management residential, the enrollment of residential student has increased gradually in Andalas University. In 2016, capacity of residential student is 1686, but only 1081 students can stay at dormitory because some rooms in bad condition. There are a lot of problems and complaints regarding dormitory’s service quality i.e water problems, leaky rooms and bathrooms, cleanliness and inadequate facilities in residential college. In addition, there are 20% of last year student’s residential check out before the time of contract runs out. The aim of this research are understanding the level of GAP exists between expectation and perception students’ residential in the content of service quality and evaluating the improvement priority services using Importance Performance Analysis. This study is measuring service quality by using Responsiveness, Assurance, Empathy, Reliability and Tangible dimension. A negative GAP indicates that the actual services are than what was expected and the GAP is highlighted area for improvement. Based on IPA, management should improve this following dimension services : responsiveness, tangible and assurance dimension.

Dampers, reclaimers and pumps - oh my!

DOE Office of Scientific and Technical Information (OSTI.GOV)

Johnson, D.; Wyatt, E.

1997-07-01

Residential energy retrofitters often hear much hype about new products designed to increased the efficiency of domestic water heating. This article examines how much energy these devices really save and how they save it. Topics covered include the following: nonelectronic flue dampers; recovering heat from wastewater; water that`s neither hear not there, the demand pump which improves continuous recirculation of water; cost savings. 1 fig.

Progress on the development of seismic resilient Tall CLT Buildings in the Pacific Northwest

Treesearch

Shiling Pei; Jeffrey Berman; Daniel Dolan; John van de Lindt; James Ricles; Richard Sause; Hans-Erik Blomgren; Marjan Popovski; Douglas Rammer

2014-01-01

As urban densification occurs in U.S. regions of high seismicity, there is a natural demand for seismically resilient tall buildings that are reliable, economically viable, and can be rapidly constructed. In urban regions on the west coast of the U.S., specifically the Pacific Northwest, there is significant interest in utilizing CLT in 8-20 story residential and...

Spent CCA treated wood from residential decks can be a resource for reuse and recycling

Treesearch

Robert L Smith; Philip A. Araman; David Bailey; Matthew F. Winn

2005-01-01

The volume of CCA treated wood being disposed of in landfills is growing at an alarming rate. In order to reduce the demand on landfills and timber harvest, more environmentally responsible alternatives for spent CCA treated wood have to be addressed. The objective of this study was to determine feasible products that can be produced from CCA treated wood....