Sample records for national energy model

  1. Energy models and national energy policy

    NASA Astrophysics Data System (ADS)

    Bloyd, Cary N.; Streets, David G.; Fisher, Ronald E.

    1990-01-01

    As work begins on the development of a new National Energy Strategy (NES), the role of energy models is becoming increasingly important. Such models are needed to determine and assess both the short and long term effects of new policy initiatives on U.S. energy supply and demand. A central purpose of the model is to translate overall energy strategy goals into policy options while identifying potential costs and environmental benefits. Three models currently being utilized in the NES process are described, followed by a detailed listing of the publicly identified NES goals. These goals are then viewed in light of the basic modeling scenarios that were proposed as part of the NES development process.

  2. The National energy modeling system

    NASA Astrophysics Data System (ADS)

    The DOE uses a variety of energy and economic models to forecast energy supply and demand. It also uses a variety of more narrowly focussed analytical tools to examine energy policy options. For the purpose of the scope of this work, this set of models and analytical tools is called the National Energy Modeling System (NEMS). The NEMS is the result of many years of development of energy modeling and analysis tools, many of which were developed for different applications and under different assumptions. As such, NEMS is believed to be less than satisfactory in certain areas. For example, NEMS is difficult to keep updated and expensive to use. Various outputs are often difficult to reconcile. Products were not required to interface, but were designed to stand alone. Because different developers were involved, the inner workings of the NEMS are often not easily or fully understood. Even with these difficulties, however, NEMS comprises the best tools currently identified to deal with our global, national and regional energy modeling, and energy analysis needs.

  3. NEMS - National Energy Modeling System: An Overview

    EIA Publications

    2009-01-01

    The National Energy Modeling System: An Overview 2009 a summary description of NEMS and each of its components. NEMS is a computer-based, energy-economy modeling system of energy markets for the midterm period through 2030. The NEMS is used to produce the Annual Energy Outlook.

  4. Impacts of Modeled Recommendations of the National Commission on Energy Policy

    EIA Publications

    2005-01-01

    This report provides the Energy Information Administration's analysis of those National Commission on Energy Policy (NCEP) energy policy recommendations that could be simulated using the National Energy Modeling System (NEMS).

  5. Model documentation Renewable Fuels Module of the National Energy Modeling System

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

    NONE

    1996-01-01

    This report documents the objectives, analaytical approach and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1996 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described.

  6. Model documentation report: Transportation sector model of the National Energy Modeling System

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

    Not Available

    1994-03-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity inmore » model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.« less

  7. Model documentation: Renewable Fuels Module of the National Energy Modeling System

    NASA Astrophysics Data System (ADS)

    1994-04-01

    This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it related to the production of the 1994 Annual Energy Outlook (AEO94) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves two purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. The RFM consists of six analytical submodules that represent each of the major renewable energy resources -- wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. Of these six, four are documented in the following chapters: municipal solid waste, wind, solar and biofuels. Geothermal and wood are not currently working components of NEMS. The purpose of the RFM is to define the technological and cost characteristics of renewable energy technologies, and to pass these characteristics to other NEMS modules for the determination of mid-term forecasted renewable energy demand.

  8. How to obtain the National Energy Modeling System (NEMS)

    EIA Publications

    2013-01-01

    The National Energy Modeling System (NEMS) NEMS is used by the modelers at the U. S. Energy Information Administration (EIA) who understand its structure and programming. NEMS has only been used by a few organizations outside of the EIA, because most people that requested NEMS found out that it was too difficult or rigid to use. NEMS is not typically used for state-level analysis and is poorly suited for application to other countries. However, many do obtain the model simply to use the data in its input files or to examine the source code.

  9. Model documentation renewable fuels module of the National Energy Modeling System

    NASA Astrophysics Data System (ADS)

    1995-06-01

    This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1995 Annual Energy Outlook (AEO95) forecasts. The report catalogs and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. The RFM consists of six analytical submodules that represent each of the major renewable energy resources -- wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. The RFM also reads in hydroelectric facility capacities and capacity factors from a data file for use by the NEMS Electricity Market Module (EMM). The purpose of the RFM is to define the technological, cost, and resource size characteristics of renewable energy technologies. These characteristics are used to compute a levelized cost to be competed against other similarly derived costs from other energy sources and technologies. The competition of these energy sources over the NEMS time horizon determines the market penetration of these renewable energy technologies. The characteristics include available energy capacity, capital costs, fixed operating costs, variable operating costs, capacity factor, heat rate, construction lead time, and fuel product price.

  10. 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

  11. Transportation Sector Model of the National Energy Modeling System. Volume 1

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

    NONE

    1998-01-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. The NEMS Transportation Model comprises a series of semi-independent models which address different aspects of the transportation sector. The primary purpose of this model is to provide mid-term forecasts of transportation energy demand by fuel type including, but not limited to, motor gasoline, distillate, jet fuel, and alternative fuels (such as CNG) not commonly associated with transportation. Themore » current NEMS forecast horizon extends to the year 2010 and uses 1990 as the base year. Forecasts are generated through the separate consideration of energy consumption within the various modes of transport, including: private and fleet light-duty vehicles; aircraft; marine, rail, and truck freight; and various modes with minor overall impacts, such as mass transit and recreational boating. This approach is useful in assessing the impacts of policy initiatives, legislative mandates which affect individual modes of travel, and technological developments. The model also provides forecasts of selected intermediate values which are generated in order to determine energy consumption. These elements include estimates of passenger travel demand by automobile, air, or mass transit; estimates of the efficiency with which that demand is met; projections of vehicle stocks and the penetration of new technologies; and estimates of the demand for freight transport which are linked to forecasts of industrial output. Following the estimation of energy demand, TRAN produces forecasts of vehicular emissions of the following pollutants by source: oxides of sulfur, oxides of nitrogen, total carbon, carbon dioxide, carbon monoxide, and volatile organic

  12. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

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

    NONE

    1996-02-26

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of amore » two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.« less

  13. Model documentation, Coal Market Module of the National Energy Modeling System

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

    NONE

    This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The internationalmore » area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.« less

  14. Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1

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

    NONE

    1995-02-17

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas.more » The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.« less

  15. Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System

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

    NONE

    1998-01-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas,more » and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.« less

  16. Pawnee Nation Energy Option Analyses

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

    Matlock, M.; Kersey, K.; Riding In, C.

    2009-07-31

    code and introduced two model energy codes Pawnee Nation should consider for adoption. Summary of Current and Expected Future Electricity Usage The research team provided a summary overview of electricity usage patterns in current buildings and included discussion of known plans for new construction. Utility Options Review Pawnee Nation electric utility options were analyzed through a four-phase process, which included: 1) summarizing the relevant utility background information; 2) gathering relevant utility assessment data; 3) developing a set of realistic Pawnee electric utility service options, and 4) analyzing the various Pawnee electric utility service options for the Pawnee Energy Team’s consideration. III. Findings and Recommendations Due to a lack of financial incentives for renewable energy, particularly at the state level, combined mediocre renewable energy resources, renewable energy development opportunities are limited for Pawnee Nation. However, near-term potential exists for development of solar hot water at the gym, and an exterior wood-fired boiler system at the tribe’s main administrative building. Pawnee Nation should also explore options for developing LFGTE resources in collaboration with the City of Pawnee. Significant potential may also exist for development of bio-energy resources within the next decade. Pawnee Nation representatives should closely monitor market developments in the bio-energy industry, establish contacts with research institutions with which the tribe could potentially partner in grant-funded research initiatives. In addition, a substantial effort by the Kaw and Cherokee tribes is underway to pursue wind development at the Chilocco School Site in northern Oklahoma where Pawnee is a joint landowner. Pawnee Nation representatives should become actively involved in these development discussions and should explore the potential for joint investment in wind development at the Chilocco site.« less

  17. Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts

    EIA Publications

    2010-01-01

    The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

  18. Distributed generation capabilities of the national energy modeling system

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

    LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

    2003-01-01

    This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. Themore » goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based

  19. Impacts of Model Building Energy Codes

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

    Athalye, Rahul A.; Sivaraman, Deepak; Elliott, Douglas B.

    The U.S. Department of Energy (DOE) Building Energy Codes Program (BECP) periodically evaluates national and state-level impacts associated with energy codes in residential and commercial buildings. Pacific Northwest National Laboratory (PNNL), funded by DOE, conducted an assessment of the prospective impacts of national model building energy codes from 2010 through 2040. A previous PNNL study evaluated the impact of the Building Energy Codes Program; this study looked more broadly at overall code impacts. This report describes the methodology used for the assessment and presents the impacts in terms of energy savings, consumer cost savings, and reduced CO 2 emissions atmore » the state level and at aggregated levels. This analysis does not represent all potential savings from energy codes in the U.S. because it excludes several states which have codes which are fundamentally different from the national model energy codes or which do not have state-wide codes. Energy codes follow a three-phase cycle that starts with the development of a new model code, proceeds with the adoption of the new code by states and local jurisdictions, and finishes when buildings comply with the code. The development of new model code editions creates the potential for increased energy savings. After a new model code is adopted, potential savings are realized in the field when new buildings (or additions and alterations) are constructed to comply with the new code. Delayed adoption of a model code and incomplete compliance with the code’s requirements erode potential savings. The contributions of all three phases are crucial to the overall impact of codes, and are considered in this assessment.« less

  20. Nuclear energy related capabilities at Sandia National Laboratories

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

    Pickering, Susan Y.

    2014-02-01

    Sandia National Laboratories' technology solutions are depended on to solve national and global threats to peace and freedom. Through science and technology, people, infrastructure, and partnerships, part of Sandia's mission is to meet the national needs in the areas of energy, climate and infrastructure security. Within this mission to ensure clean, abundant, and affordable energy and water is the Nuclear Energy and Fuel Cycle Programs. The Nuclear Energy and Fuel Cycle Programs have a broad range of capabilities, with both physical facilities and intellectual expertise. These resources are brought to bear upon the key scientific and engineering challenges facing themore » nation and can be made available to address the research needs of others. Sandia can support the safe, secure, reliable, and sustainable use of nuclear power worldwide by incorporating state-of-the-art technologies in safety, security, nonproliferation, transportation, modeling, repository science, and system demonstrations.« less

  1. NWTC Helps Guide U.S. Offshore R&D; NREL (National Renewable Energy Laboratory)

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

    None

    2015-07-01

    The National Wind Technology Center (NWTC) at the National Renewable Energy Laboratory (NREL) is helping guide our nation's research-and-development effort in offshore renewable energy, which includes: Design, modeling, and analysis tools; Device and component testing; Resource characterization; Economic modeling and analysis; Grid integration.

  2. National Energy Outlook: 1976 Executive Summary.

    ERIC Educational Resources Information Center

    Federal Energy Administration, Washington, DC.

    This brochure begins with findings and conclusions of the 1975 NATIONAL ENERGY OUTLOOK. Discussions of national energy topics follow, including: What Are the Roots of Our Energy Problem? How Did We Become So Vulnerable to Oil Imports?; How Much Energy Will the Nation Consume?; How Will the National Meet Its Growing Energy Demands by 1985; How Much…

  3. National Energy Legislation

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

    NONE

    1992-12-31

    The impact of state regulation of nuclear power, since PG&E and Silkwood, on the implementation of national energy policy on nuclear power is evident in the debates on federal legislation required for such implementation. The political demands that confront some states for an expanded role in the regulation of commercial nuclear power plants also confront Congress, which is responsible for the legislative implementation of the strategy proposed in the Report. The expansion of state and local regulation of nuclear plants, however, will complicate and possibly frustrate the efforts of Congress to enact the strategy for nuclear power into law. Themore » debates on Senate Bill 1220, the National Energy Security Act of 1991, indicate that the expansion of state regulation of nuclear power will frustrate the implementation of the national energy policy on nuclear power. Senate Bill 1220 would enact a comprehensive national energy policy. For example, Title XI would further deregulate the production of natural gas; Title XIV is concerned with secure supplies, and the use of coal in the future. Senate Bill 1220 would also amend PUHCA. Of particular significance for nuclear power, however, are Titles VIII and IX. The House and Senate debates on House Bill 1301 and Senate Bill 1220 are summarized.« less

  4. National energy policy

    NASA Technical Reports Server (NTRS)

    1973-01-01

    The efforts of the U.S. government to cope with the national energy crisis are discussed. The provisions of several legislative actions to implement the actions for energy conservation are examined. Immediate conservation measures and the long range planning for energy resources are reported.

  5. National energy strategy to be devised

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

    Not Available

    Secretary of Energy James D. Watkins has announced the Department of Energy's plans to develop a national energy strategy. Leaders of three national associations voiced concern that organizers of the U.S. Department of Energy hearings made no contract with the American Wind Energy Association, (AWEA) and National Wood Energy Association (NWEA) or the Solar Energy Industries Association (SEIA). All three representatives urged the DOE to address the problems of acid rain, global climate change and continued reliance on imported fuel. The renewable energy industry groups expressed hope that a future DOE meeting with Watkins and the renewable energy industries willmore » be held to discuss the components of a national energy strategy encouraging the use of renewable energy sources.« less

  6. Pawnee Nation Energy Option Analyses

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

    Matlock, M.; Kersey, K.; Riding In, C.

    2009-07-21

    Pawnee Nation of Oklahoma Energy Option Analyses In 2003, the Pawnee Nation leadership identified the need for the tribe to comprehensively address its energy issues. During a strategic energy planning workshop a general framework was laid out and the Pawnee Nation Energy Task Force was created to work toward further development of the tribe’s energy vision. The overarching goals of the “first steps” project were to identify the most appropriate focus for its strategic energy initiatives going forward, and to provide information necessary to take the next steps in pursuit of the “best fit” energy options. Description of Activities Performedmore » The research team reviewed existing data pertaining to the availability of biomass (focusing on woody biomass, agricultural biomass/bio-energy crops, and methane capture), solar, wind and hydropower resources on the Pawnee-owned lands. Using these data, combined with assumptions about costs and revenue streams, the research team performed preliminary feasibility assessments for each resource category. The research team also reviewed available funding resources and made recommendations to Pawnee Nation highlighting those resources with the greatest potential for financially-viable development, both in the near-term and over a longer time horizon. Findings and Recommendations Due to a lack of financial incentives for renewable energy, particularly at the state level, combined mediocre renewable energy resources, renewable energy development opportunities are limited for Pawnee Nation. However, near-term potential exists for development of solar hot water at the gym, and an exterior wood-fired boiler system at the tribe’s main administrative building. Pawnee Nation should also explore options for developing LFGTE resources in collaboration with the City of Pawnee. Significant potential may also exist for development of bio-energy resources within the next decade. Pawnee Nation representatives should closely

  7. Northwest National Marine Renewable Energy Center

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

    Batten, Belinda; Polagye, Brian

    In 2008, the US Department of Energy’s (DOE) Wind and Water Power Program issued a funding opportunity announcement to establish university-led National Marine Renewable Energy Centers. Oregon State University and the University of Washington combined their capabilities in wave and tidal energy to establish the Northwest National Marine Renewable Energy Center, or NNMREC. NNMREC’s scope included research and testing in the following topic areas: • Advanced Wave Forecasting Technologies; • Device and Array Optimization; • Integrated and Standardized Test Facility Development; • Investigate the Compatibility of Marine Energy Technologies with Environment, Fisheries and other Marine Resources; • Increased Reliability andmore » Survivability of Marine Energy Systems; • Collaboration/Optimization with Marine Renewable and Other Renewable Energy Resources. To support the last topic, the National Renewable Energy Laboratory (NREL) was brought onto the team, particularly to assist with testing protocols, grid integration, and testing instrumentation. NNMREC’s mission is to facilitate the development of marine energy technology, to inform regulatory and policy decisions, and to close key gaps in scientific understanding with a focus on workforce development. In this, NNMREC achieves DOE’s goals and objectives and remains aligned with the research and educational mission of universities. In 2012, DOE provided NNMREC an opportunity to propose an additional effort to begin work on a utility scale, grid connected wave energy test facility. That project, initially referred to as the Pacific Marine Energy Center, is now referred to as the Pacific Marine Energy Center South Energy Test Site (PMEC-SETS) and involves work directly toward establishing the facility, which will be in Newport Oregon, as well as supporting instrumentation for wave energy converter testing. This report contains a breakdown per subtask of the funded project. Under each subtask, the

  8. Energy and National Security

    ERIC Educational Resources Information Center

    Abelson, Philip H.

    1973-01-01

    Discussed in this editorial is the need for a broad and detailed government policy on energy use. Oil companies can not be given complete responsibility to demonstrate usage of different energy sources. The government should construct plants because energy is connected with national security. (PS)

  9. Insights: Future of the national laboratories. National Renewable Energy Laboratory. [The future of the National Renewable Energy (Sources) Laboratory

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

    Sunderman, D.

    Psychologists tell us that people are born with certain personality traits, such as shyness or boldness, which their environment can encourage, subdue, or even alter. National labs have somewhat similar characteristics. They were created for particular missions and staffed by people who built organizations in which those missions could be fulfilled. As a result, the Department of Energy's (DOE) national labs are among the world's finest repositories of technology and scientific talent, especially in the fields of defense, nuclear weapons, nuclear power, and basic energy. Sunderman, director of the National Renewable Energy Laboratory, discusses the history of the laboratory andmore » its place in the future, both in terms of technologies and nurturing.« less

  10. Dynamic Modeling of Learning in Emerging Energy Industries: The Example of Advanced Biofuels in the United States; NREL (National Renewable Energy Laboratory)

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

    Peterson, Steve; Bush, Brian; Vimmerstedt, Laura

    This paper (and its supplemental model) presents novel approaches to modeling interactions and related policies among investment, production, and learning in an emerging competitive industry. New biomass-to-biofuels pathways are being developed and commercialized to support goals for U.S. advanced biofuel use, such as those in the Energy Independence and Security Act of 2007. We explore the impact of learning rates and techno-economics in a learning model excerpted from the Biomass Scenario Model (BSM), developed by the U.S. Department of Energy and the National Renewable Energy Laboratory to explore the impact of biofuel policy on the evolution of the biofuels industry.more » The BSM integrates investment, production, and learning among competing biofuel conversion options that are at different stages of industrial development. We explain the novel methods used to simulate the impact of differing assumptions about mature industry techno-economics and about learning rates while accounting for the different maturity levels of various conversion pathways. A sensitivity study shows that the parameters studied (fixed capital investment, process yield, progress ratios, and pre-commercial investment) exhibit highly interactive effects, and the system, as modeled, tends toward market dominance of a single pathway due to competition and learning dynamics.« less

  11. Energy Department Announces National Bioenergy Center

    Science.gov Websites

    Department of Energy's National Renewable Energy Laboratory (NREL) in Golden, Colo., and Oak Ridge National Laboratories (ORNL) in Oak Ridge, Tenn. will lead the Bioenergy Center. The center will link DOE-funded biomass

  12. Some comments on the World Energy Conference (WEC) energy demand model

    NASA Astrophysics Data System (ADS)

    Brandell, L.

    1982-04-01

    The WEC model, relating the energy demand for a region in a year to gross national product (GNP), aggregated energy prices and elasticity constants, is generalized. The changes that result from the assumption that the elasticity factors are not constant are examined. The resulting differential equation contains the variables energy demand per capita and GNP per capita for the region considered. The effect of time lag in energy demand and the influence of the population growth rate are also included in the model. No projections of the future energy demand were made, but model sensitiveness to the modifications were studied. Time lag effects and population growth effects can raise the projected energy demand for a region by 10% or more.

  13. Fossil Energy Planning for Navajo Nation

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

    Acedo, Margarita

    This project includes fossil energy transition planning to find optimal solutions that benefit the Navajo Nation and stakeholders. The majority of the tribe’s budget currently comes from fossil energy-revenue. The purpose of this work is to assess potential alternative energy resources including solar photovoltaics and biomass (microalgae for either biofuel or food consumption). This includes evaluating carbon-based reserves related to the tribe’s resources including CO 2 emissions for the Four Corners generating station. The methodology for this analysis will consist of data collection from publicly available data, utilizing expertise from national laboratories and academics, and evaluating economic, health, and environmentalmore » impacts. Finally, this report will highlight areas of opportunities to implement renewable energy in the Navajo Nation by presenting the technology requirements, cost, and considerations to energy, water, and environment in an educational structure.« less

  14. Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

    DOE Data Explorer

    Sheppy, Michael; Beach, A.; Pless, Shanti

    2016-08-09

    Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

  15. NREL: Speeches - Nation's Energy Future at Risk

    Science.gov Websites

    Energy Future at Risk, National Lab Director Says For more information contact: George Douglas, 303 -275-4096 e:mail: George Douglas Washington, D.C., July 27, 1999 — America must invest in its energy future now, Richard Truly, director of the U.S. Department of Energy's National Renewable Energy

  16. Energy Alert 78-1, National Energy Act: A Special Report on the National Energy Conservation Policy Act of 1978.

    ERIC Educational Resources Information Center

    Association of Physical Plant Administrators of Universities and Colleges, Washington, DC.

    This Energy Alert deals specifically with Public Law 95-619, the National Energy Conservation Policy Act of 1978 (NECPA). Title III, Part 1 of NECPA authorizes $900 million over a three-year period for grants to schools and hospitals for energy audits, technical assistance and energy conservation projects. This publication attempts to inform…

  17. Variable Renewable Energy in Long-Term Planning Models: A Multi-Model Perspective

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

    Cole, Wesley; Frew, Bethany; Mai, Trieu

    Long-term capacity expansion models of the U.S. electricity sector have long been used to inform electric sector stakeholders and decision-makers. With the recent surge in variable renewable energy (VRE) generators — primarily wind and solar photovoltaics — the need to appropriately represent VRE generators in these long-term models has increased. VRE generators are especially difficult to represent for a variety of reasons, including their variability, uncertainty, and spatial diversity. This report summarizes the analyses and model experiments that were conducted as part of two workshops on modeling VRE for national-scale capacity expansion models. It discusses the various methods for treatingmore » VRE among four modeling teams from the Electric Power Research Institute (EPRI), the U.S. Energy Information Administration (EIA), the U.S. Environmental Protection Agency (EPA), and the National Renewable Energy Laboratory (NREL). The report reviews the findings from the two workshops and emphasizes the areas where there is still need for additional research and development on analysis tools to incorporate VRE into long-term planning and decision-making. This research is intended to inform the energy modeling community on the modeling of variable renewable resources, and is not intended to advocate for or against any particular energy technologies, resources, or policies.« less

  18. NREL: News - New Energy Systems Enhance National Security

    Science.gov Websites

    resources, bioenergy and bio-based products, zero energy buildings, wind energy, geothermal energy, solar Energy Systems Enhance National Security Washington D.C., March 14, 2002 Experts from the U.S . Department of Energy's National Renewable Energy Laboratory (NREL) have identified key renewable energy

  19. National Labs Host Classroom Ready Energy Educational Materials

    NASA Astrophysics Data System (ADS)

    Howell, C. D.

    2009-12-01

    The Department of Energy (DOE) has a clear goal of joining all climate and energy agencies in the task of taking climate and energy research and development to communities across the nation and throughout the world. Only as information on climate and energy education is shared with the nation and world do research labs begin to understand the massive outreach work yet to be accomplished. The work at hand is to encourage and ensure the climate and energy literacy of our society. The national labs have defined the K-20 population as a major outreach focus, with the intent of helping them see their future through the global energy usage crisis and ensure them that they have choices and a chance to redirect their future. Students embrace climate and energy knowledge and do see an opportunity to change our energy future in a positive way. Students are so engaged that energy clubs are springing up in highschools across the nation. Because of such global clubs university campuses are being connected throughout the world (Energy Crossroads www.energycrossroads.org) etc. There is a need and an interest, but what do teachers need in order to faciliate this learning? It is simple, they need financial support for classroom resources; standards based classroom ready lessons and materials; and, training. The National Renewable Energy Laboratory (NREL), a Department of Energy Lab, provides standards based education materials to schools across the nation. With a focus on renewable energy and energy efficiency education, NREL helps educators to prompt students to analyze and then question their energy choices and evaluate their carbon footprint. Classrooms can then discover the effects of those choices on greenhouse gas emmissions and climate change. The DOE Office of Science has found a way to contribute to teachers professional development through the Department of Energy Academics Creating Teacher Scientists (DOE ACTS) Program. This program affords teachers an opportunity to

  20. Energy Auditor and Quality Control Inspector Competency Model

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

    Head, Heather R.; Kurnik, Charles W.; Schroeder, Derek

    The Energy Auditor (EA) and Quality Control Inspector (QCI) Competency model was developed to identify the soft skills, foundational competencies and define the levels of Knowledge, Skills, and Abilities (KSAs) required to successfully perform the tasks defined in the EA and QCI Job Task Analysis (JTAs), the U.S. Department of Energy (DOE) used the U.S. Department of Labor's (DOL) Competency Model Clearinghouse resources to develop a QCI and EA Competency Model. To keep the QCI and EA competency model consistent with other construction and energy management competency models, DOE and the National Renewable Energy Laboratory used the existing 'Residential Constructionmore » Competency Model' and the 'Advanced Commercial Building Competency Model' where appropriate.« less

  1. The National Geothermal Energy Research Program

    NASA Technical Reports Server (NTRS)

    Green, R. J.

    1974-01-01

    The continuous demand for energy and the concern for shortages of conventional energy resources have spurred the nation to consider alternate energy resources, such as geothermal. Although significant growth in the one natural steam field located in the United States has occurred, a major effort is now needed if geothermal energy, in its several forms, is to contribute to the nation's energy supplies. From the early informal efforts of an Interagency Panel for Geothermal Energy Research, a 5-year Federal program has evolved whose objective is the rapid development of a commercial industry for the utilization of geothermal resources for electric power production and other products. The Federal program seeks to evaluate the realistic potential of geothermal energy, to support the necessary research and technology needed to demonstrate the economic and environmental feasibility of the several types of geothermal resources, and to address the legal and institutional problems concerned in the stimulation and regulation of this new industry.

  2. Wanted: A National Energy Policy

    ERIC Educational Resources Information Center

    Environmental Science and Technology, 1972

    1972-01-01

    Recent hearings have shed little light on how the federal government should restructure itself to deal with the mounting energy crisis. Individual viewpoints and personal observations are presented, showing a lack of consensus on the best way to accomplish this. Office of Science and Technology priorities toward a national energy policy are…

  3. Development of EnergyPlus Utility to Batch Simulate Building Energy Performance on a National Scale

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

    Valencia, Jayson F.; Dirks, James A.

    2008-08-29

    EnergyPlus is a simulation program that requires a large number of details to fully define and model a building. Hundreds or even thousands of lines in a text file are needed to run the EnergyPlus simulation depending on the size of the building. To manually create these files is a time consuming process that would not be practical when trying to create input files for thousands of buildings needed to simulate national building energy performance. To streamline the process needed to create the input files for EnergyPlus, two methods were created to work in conjunction with the National Renewable Energymore » Laboratory (NREL) Preprocessor; this reduced the hundreds of inputs needed to define a building in EnergyPlus to a small set of high-level parameters. The first method uses Java routines to perform all of the preprocessing on a Windows machine while the second method carries out all of the preprocessing on the Linux cluster by using an in-house built utility called Generalized Parametrics (GPARM). A comma delimited (CSV) input file is created to define the high-level parameters for any number of buildings. Each method then takes this CSV file and uses the data entered for each parameter to populate an extensible markup language (XML) file used by the NREL Preprocessor to automatically prepare EnergyPlus input data files (idf) using automatic building routines and macro templates. Using a Linux utility called “make”, the idf files can then be automatically run through the Linux cluster and the desired data from each building can be aggregated into one table to be analyzed. Creating a large number of EnergyPlus input files results in the ability to batch simulate building energy performance and scale the result to national energy consumption estimates.« less

  4. 77 FR 60613 - National Energy Action Month, 2012

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-04

    ... National Energy Action Month, 2012 By the President of the United States of America A Proclamation A secure... sustainable, vibrant economy. We took bold action to double our use of renewable energy sources like solar... the laws of the United States, do hereby proclaim October 2012 as National Energy Action Month. I call...

  5. The Nation's Energy Problem. Forum Report.

    ERIC Educational Resources Information Center

    Business-Higher Education Forum, Washington, DC.

    Some of the essential elements now deficient in national energy programs are identified, and recommendations are offered for business, universities, and government regarding actions that may improve energy-related research and training. Five topics that need to be addressed by professionals are: (1) an energy policy that ensures that targets for…

  6. Long-term energy security in a national scale using LEAP. Application to de-carbonization scenarios in Andorra

    NASA Astrophysics Data System (ADS)

    Travesset-Baro, Oriol; Jover, Eric; Rosas-Casals, Marti

    2016-04-01

    This paper analyses the long-term energy security in a national scale using Long-range Energy Alternatives Planning System (LEAP) modelling tool. It builds the LEAP Andorra model, which forecasts energy demand and supply for the Principality of Andorra by 2050. It has a general bottom-up structure, where energy demand is driven by the technological composition of the sectors of the economy. The technological model is combined with a top-down econometric model to take into account macroeconomic trends. The model presented in this paper provides an initial estimate of energy demand in Andorra segregated into all sectors (residential, transport, secondary, tertiary and public administration) and charts a baseline scenario based on historical trends. Additional scenarios representing different policy strategies are built to explore the country's potential energy savings and the feasibility to achieve the Intended Nationally Determined Contribution (INDC) submitted in April 2015 to UN. In this climatic agreement Andorra intends to reduce net greenhouse gas emissions (GHG) by 37% as compared to a business-as-usual scenario by 2030. In addition, current and future energy security is analysed in this paper under baseline and de-carbonization scenarios. Energy security issues are assessed in LEAP with an integrated vision, going beyond the classic perspective of security of supply, and being closer to the sustainability's integrative vision. Results of scenarios show the benefits of climate policies in terms of national energy security and the difficulties for Andorra to achieving the de-carbonization target by 2030.

  7. Electric train energy consumption modeling

    DOE PAGES

    Wang, Jinghui; Rakha, Hesham A.

    2017-05-01

    For this paper we develop an electric train energy consumption modeling framework considering instantaneous regenerative braking efficiency in support of a rail simulation system. The model is calibrated with data from Portland, Oregon using an unconstrained non-linear optimization procedure, and validated using data from Chicago, Illinois by comparing model predictions against the National Transit Database (NTD) estimates. The results demonstrate that regenerative braking efficiency varies as an exponential function of the deceleration level, rather than an average constant as assumed in previous studies. The model predictions are demonstrated to be consistent with the NTD estimates, producing a predicted error ofmore » 1.87% and -2.31%. The paper demonstrates that energy recovery reduces the overall power consumption by 20% for the tested Chicago route. Furthermore, the paper demonstrates that the proposed modeling approach is able to capture energy consumption differences associated with train, route and operational parameters, and thus is applicable for project-level analysis. The model can be easily implemented in traffic simulation software, used in smartphone applications and eco-transit programs given its fast execution time and easy integration in complex frameworks.« less

  8. Electric train energy consumption modeling

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

    Wang, Jinghui; Rakha, Hesham A.

    For this paper we develop an electric train energy consumption modeling framework considering instantaneous regenerative braking efficiency in support of a rail simulation system. The model is calibrated with data from Portland, Oregon using an unconstrained non-linear optimization procedure, and validated using data from Chicago, Illinois by comparing model predictions against the National Transit Database (NTD) estimates. The results demonstrate that regenerative braking efficiency varies as an exponential function of the deceleration level, rather than an average constant as assumed in previous studies. The model predictions are demonstrated to be consistent with the NTD estimates, producing a predicted error ofmore » 1.87% and -2.31%. The paper demonstrates that energy recovery reduces the overall power consumption by 20% for the tested Chicago route. Furthermore, the paper demonstrates that the proposed modeling approach is able to capture energy consumption differences associated with train, route and operational parameters, and thus is applicable for project-level analysis. The model can be easily implemented in traffic simulation software, used in smartphone applications and eco-transit programs given its fast execution time and easy integration in complex frameworks.« less

  9. National Energy Policy: Report of the National Energy Policy Development Group

    DTIC Science & Technology

    2001-05-01

    and the environ- ment. Oil spill technology has improved dur- ing the last decade and will continue to do so. Risk assessments ...chemical intermediate in paper pulping and ore refining, and as a solvent. Transportation Sector: Private and public vehicles that move people and ...Energy Security and International Relationships Appendix One Summary of Report Recommendations Appendix Two Glossary 1 2 3 4 5 6 7 8 NATIONAL

  10. National Renewable Energy Policy in a Global World

    NASA Astrophysics Data System (ADS)

    Jeong, Minji

    Increasing trade of renewable energy products has significantly contributed to reducing the costs of renewable energy sources, but at the same time, it has generated protectionist policies, which may negatively affect the trend of the cost reduction. Although a few recent studies examined the rise of renewable energy protectionism and trade disputes, they are limited in addressing the conflict between the original goal of traditional renewable energy policies and the new protectionist policies under the globalized renewable energy industry. To fill this gap, this dissertation explores how the globalized renewable energy industry has changed national renewable energy policies. Through three analyses, three aspects of the globalized renewable energy industry are examined: the rise of multinational corporations, international interactions among actors, and the changes of the global and domestic market conditions. First analysis investigates how multinational renewable energy corporations have affected national policies. A content analysis of the annual reports of 15 solar photovoltaic multinational corporation shows that solar multinationals have been influenced by national policies and have adapted to the changes rather than having attempted to change national policies. Second analysis examines how diverse actors have framed renewable energy trade issues through a network analysis of the Chinese solar panel issue in the United States. The result shows that the Chinese solar panel issue was framed differently from the traditional environmental frame of renewable energy, being dominated by multinational corporations headquartered in other countries. Third analysis explores what has caused the increasing diversity in national renewable energy policies through the case studies of the U.S. and South Korea. The result reveals that the globalization of solar industry has affected the diversification of solar policies in two countries by generating both challenges, which

  11. Solar energy: An investment in our nation`s energy and economic security

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

    NONE

    1995-08-01

    The Solar Energy Industries Association (SEIA) is the national trade organization of the photovoltaics and solar thermal manufacturers and component suppliers. The solar energy industries are engaged in aggressive efforts to develop, validate, and deploy solar energy systems for a wide variety of applications in every sector of our economy. In many cases. these efforts are being implemented in partnership with the US DOE and its laboratories. These partnerships are heavily cost-shared by industry and were entered into in good faith by companies and corporations willing to include their significant cost-share in their multi-year budget planning. The result is amore » set of highly leveraged programs that are on-budget, on-time, and are working. The authors feel confident that those who take the time to look will see the compelling benefits of continued investment in solar energy.« less

  12. Model Diagnostics for the Department of Energy's Accelerated Climate Modeling for Energy (ACME) Project

    NASA Astrophysics Data System (ADS)

    Smith, B.

    2015-12-01

    In 2014, eight Department of Energy (DOE) national laboratories, four academic institutions, one company, and the National Centre for Atmospheric Research combined forces in a project called Accelerated Climate Modeling for Energy (ACME) with the goal to speed Earth system model development for climate and energy. Over the planned 10-year span, the project will conduct simulations and modeling on DOE's most powerful high-performance computing systems at Oak Ridge, Argonne, and Lawrence Berkeley Leadership Compute Facilities. A key component of the ACME project is the development of an interactive test bed for the advanced Earth system model. Its execution infrastructure will accelerate model development and testing cycles. The ACME Workflow Group is leading the efforts to automate labor-intensive tasks, provide intelligent support for complex tasks and reduce duplication of effort through collaboration support. As part of this new workflow environment, we have created a diagnostic, metric, and intercomparison Python framework, called UVCMetrics, to aid in the testing-to-production execution of the ACME model. The framework exploits similarities among different diagnostics to compactly support diagnosis of new models. It presently focuses on atmosphere and land but is designed to support ocean and sea ice model components as well. This framework is built on top of the existing open-source software framework known as the Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT). Because of its flexible framework design, scientists and modelers now can generate thousands of possible diagnostic outputs. These diagnostics can compare model runs, compare model vs. observation, or simply verify a model is physically realistic. Additional diagnostics are easily integrated into the framework, and our users have already added several. Diagnostics can be generated, viewed, and manipulated from the UV-CDAT graphical user interface, Python command line scripts and programs

  13. Reference Model 6 (RM6): Oscillating Wave Energy Converter.

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

    Bull, Diana L; Smith, Chris; Jenne, Dale Scott

    This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter reference model design in a complementary manner to Reference Models 1-4 contained in the above report. In this report, a conceptual design for an Oscillating Water Column Wave Energy Converter (WEC) device appropriate for the modeled reference resource site was identified, and a detailed backward bent duct buoy (BBDB) device design was developed using a combination of numerical modeling tools and scaled physical models. Our team used the methodology in SAND2013-9040more » for the economic analysis that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays, up to 100 devices. The methodology was applied to identify key cost drivers and to estimate levelized cost of energy (LCOE) for this RM6 Oscillating Water Column device in dollars per kilowatt-hour ($/kWh). Although many costs were difficult to estimate at this time due to the lack of operational experience, the main contribution of this work was to disseminate a detailed set of methodologies and models that allow for an initial cost analysis of this emerging technology. This project is sponsored by the U.S. Department of Energy's (DOE) Wind and Water Power Technologies Program Office (WWPTO), within the Office of Energy Efficiency & Renewable Energy (EERE). Sandia National Laboratories, the lead in this effort, collaborated with partners from National Laboratories, industry, and universities to design and test this reference model.« less

  14. Building Energy Model Development for Retrofit Homes

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

    Chasar, David; McIlvaine, Janet; Blanchard, Jeremy

    2012-09-30

    Based on previous research conducted by Pacific Northwest National Laboratory and Florida Solar Energy Center providing technical assistance to implement 22 deep energy retrofits across the nation, 6 homes were selected in Florida and Texas for detailed post-retrofit energy modeling to assess realized energy savings (Chandra et al, 2012). However, assessing realized savings can be difficult for some homes where pre-retrofit occupancy and energy performance are unknown. Initially, savings had been estimated using a HERS Index comparison for these homes. However, this does not account for confounding factors such as occupancy and weather. This research addresses a method to moremore » reliably assess energy savings achieved in deep energy retrofits for which pre-retrofit utility bills or occupancy information in not available. A metered home, Riverdale, was selected as a test case for development of a modeling procedure to account occupancy and weather factors, potentially creating more accurate estimates of energy savings. This “true up” procedure was developed using Energy Gauge USA software and post-retrofit homeowner information and utility bills. The 12 step process adjusts the post-retrofit modeling results to correlate with post-retrofit utility bills and known occupancy information. The “trued” post retrofit model is then used to estimate pre-retrofit energy consumption by changing the building efficiency characteristics to reflect the pre-retrofit condition, but keeping all weather and occupancy-related factors the same. This creates a pre-retrofit model that is more comparable to the post-retrofit energy use profile and can improve energy savings estimates. For this test case, a home for which pre- and post- retrofit utility bills were available was selected for comparison and assessment of the accuracy of the “true up” procedure. Based on the current method, this procedure is quite time intensive. However, streamlined processing spreadsheets

  15. Nuclear power, energy, and the national debate

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

    McCormack, R.A.

    1976-01-01

    The U.S. power industry is engaged in a national debate. On the outside, it appears to be a nuclear issue, but basically it is energy, growth, capitalism, institutions, and the way of life itself. It is a new experience for the engineers in the power industry, who, in the past handled their responsibilities in a ''low-key way, the way of the specialist.'' All this has changed. The author reviews the concerns the power industry now faces--the lack of an energy policy, state referenda, power plant delays, lobbying for financial support, energy shortages, and fragmentation of the energy industry. The authormore » urges ''that we of the third estate establish a permanent national energy forum bringing together every major sector of the energy industry--coal, oil, uranium, the electric utilities, suppliers and users of high technology, those on the forefront of research for using new fuels, and the major financial institutions who must obtain for all the rest of us in the private sector the money we need from the investor marketplace. The founding purpose and initial task would be to assemble a panel of statesmen from the private sector, following the pattern employed by the National Petroleum Council, to undertake and direct in the next year a fundamental reassessment of the role of the private sector in energy supply and in the research, development, and full commercialization of advanced energy production technology.'' (MCW)« less

  16. Resilience and Robustness in Long-Term Planning of the National Energy and Transportation System

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

    Ibanez, Eduardo; Lavrenz, Steven; Gkritza, Konstantina

    2016-01-01

    The most significant energy consuming infrastructures and the greatest contributors to greenhouse gases for any developed nation today are electric and freight/passenger transportation systems. Technological alternatives for producing, transporting and converting energy for electric and transportation systems are numerous. Addressing costs, sustainability and resilience of electric and transportation needs requires long-term assessment since these capital-intensive infrastructures take years to build with lifetimes approaching a century. Yet, the advent of electrically driven transportation, including cars, trucks and trains, creates potential interdependencies between the two infrastructures that may be both problematic and beneficial. We are developing modelling capability to perform long-term electricmore » and transportation infrastructure design at a national level, accounting for their interdependencies. The approach combines network flow modelling with a multi-objective solution method. We describe and compare it to the state of the art in energy planning models. An example is presented to illustrate important features of this new approach.« less

  17. A Multi-Scale Energy Food Systems Modeling Framework For Climate Adaptation

    NASA Astrophysics Data System (ADS)

    Siddiqui, S.; Bakker, C.; Zaitchik, B. F.; Hobbs, B. F.; Broaddus, E.; Neff, R.; Haskett, J.; Parker, C.

    2016-12-01

    Our goal is to understand coupled system dynamics across scales in a manner that allows us to quantify the sensitivity of critical human outcomes (nutritional satisfaction, household economic well-being) to development strategies and to climate or market induced shocks in sub-Saharan Africa. We adopt both bottom-up and top-down multi-scale modeling approaches focusing our efforts on food, energy, water (FEW) dynamics to define, parameterize, and evaluate modeled processes nationally as well as across climate zones and communities. Our framework comprises three complementary modeling techniques spanning local, sub-national and national scales to capture interdependencies between sectors, across time scales, and on multiple levels of geographic aggregation. At the center is a multi-player micro-economic (MME) partial equilibrium model for the production, consumption, storage, and transportation of food, energy, and fuels, which is the focus of this presentation. We show why such models can be very useful for linking and integrating across time and spatial scales, as well as a wide variety of models including an agent-based model applied to rural villages and larger population centers, an optimization-based electricity infrastructure model at a regional scale, and a computable general equilibrium model, which is applied to understand FEW resources and economic patterns at national scale. The MME is based on aggregating individual optimization problems for relevant players in an energy, electricity, or food market and captures important food supply chain components of trade and food distribution accounting for infrastructure and geography. Second, our model considers food access and utilization by modeling food waste and disaggregating consumption by income and age. Third, the model is set up to evaluate the effects of seasonality and system shocks on supply, demand, infrastructure, and transportation in both energy and food.

  18. Quinault Indian Nation Renewable Energy Plan

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

    Don Hopps, Institute for Washington's Future; Jesse Nelson, Institute for Washington's Future

    2006-11-28

    The Quinault Indian Nation (Nation) initiated this study on conservation and production of renewable energy because this approach created the opportunity: • To become self-sufficient and gain greater control over the energy the Nation uses; • To generate jobs and businesses for its members; • To better manage, sustain, and protect its resources; • To express the cultural values of the Nation in an important new arena. The Nation has relatively small energy needs. These needs are concentrated at two separate points: the Quinault Beach Resort and Casino (QBRC) and Taholah on the Quinault Indian Reservation (QIR). Except for themore » town of Queets, energy needs are small and scattered. The needs vary greatly over the season. The small scale, widely dispersed, and variable nature of these needs presents a unique challenge to the Nation. Meeting these needs requires a resource and technology that is flexible, effective, and portable. Conservation is the most cost-effective way to meet any need. It is especially effective in a situation like this where production would leave a high per unit cost. This plan is based on first gaining energy savings through conservation. Major savings are possible through: 1. Upgrading home appliances on the QIR. 2. Weatherizing homes and facilities. 3. Changes in lighting/ventilation in the QBRC pool room. These elements of the plan are already being implemented and promise to save the Nation around a quarter of its present costs. Wood biomass is the best resource available to the QIN for energy production either on-site or for commercial development. It is abundant, flexible and portable. Its harvesting has high job potential and these jobs are a good fit for the present “skill set” of the QIN. This plan focuses on using wood biomass to produce energy and other value-added products. Our study considered various technologies and approaches to using wood for energy. We considered production for both on-site and commercial

  19. JEDI: Jobs and Economic Development Impact Model; NREL (National Renewable Energy Laboratory)

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

    None

    The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local (usually state) level. First developed by NREL’s researchers to model wind energy jobs and impacts, JEDI has been expanded to also estimate the economic impacts of biofuels, coal, conventional hydro, concentrating solar power, geothermal, marine and hydrokinetic power, natural gas, photovoltaics, and transmission lines. This fact sheet focuses on JEDI for wind energy projects.

  20. Implementing nationally determined contributions: building energy policies in India’s mitigation strategy

    NASA Astrophysics Data System (ADS)

    Yu, Sha; Evans, Meredydd; Kyle, Page; Vu, Linh; Tan, Qing; Gupta, Ashu; Patel, Pralit

    2018-03-01

    The Nationally Determined Contributions are allowing countries to examine options for reducing emissions through a range of domestic policies. India, like many developing countries, has committed to reducing emissions through specific policies, including building energy codes. Here we assess the potential of these sectoral policies to help in achieving mitigation targets. Collectively, it is critically important to see the potential impact of such policies across developing countries in meeting national and global emission goals. Buildings accounted for around one third of global final energy use in 2010, and building energy consumption is expected to increase as income grows in developing countries. Using the Global Change Assessment Model, this study finds that implementing a range of energy efficiency policies robustly can reduce total Indian building energy use by 22% and lower total Indian carbon dioxide emissions by 9% in 2050 compared to the business-as-usual scenario. Among various policies, energy codes for new buildings can result in the most significant savings. For all building energy policies, well-coordinated, consistent implementation is critical, which requires coordination across different departments and agencies, improving capacity of stakeholders, and developing appropriate institutions to facilitate policy implementation.

  1. 2014 Navajo Nation Energy and Water Consumption

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

    Singer, Suzanne L.; Woods, Sam

    The Navajo Nation is the home of the largest land-based Indian reservation in the U.S., covering more than twenty-seven thousand square miles. The land in the southwestern U.S. holds an abundance of natural resources, which are intimately integrated in the history, economy, and growth of the Navajo tribe. This report aims to wholly visualize the Navajo Nation’s resources and energy and water consumption using quantitative data and systems engineering analysis. The energy and water flow chart visualizations provide structured information for tribal leaders, policymakers, and educators around energy and water system discussions, technology development opportunities, and policy decisions. The analysismore » of both energy and water is a first step to visualizing the interconnectedness and complexities of the energy-water-food nexus of the nation. The goal of this energy analysis was to first estimate coal resource consumption because of the considerable impact coal has on the Navajo economy, recently as much as $26 million per year in coal royalties.« less

  2. The utilization of solar energy to help meet our nation's energy needs

    NASA Technical Reports Server (NTRS)

    Thomas, R. L.

    1973-01-01

    The nation's energy needs, domestic energy resources, and possible future energy resources are briefly discussed in this paper. Three potential solutions, coal, nuclear and solar are compared as to benefits and problems. The paper primarily discusses the options available in using solar energy as a natural energy resource. These options are discussed under the generation of electricity, heating and cooling of buildings, and the production of clean fuel.

  3. Abstract - Cooperative Research and Development Agreement between Ames National Laboratory and National Energy Technology Laboratory AGMT-0609

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

    Bryden, Mark; Tucker, David A.

    The goal of this project is to develop a merged environment for simulation and analysis (MESA) at the National Energy Technology Laboratory’s (NETL) Hybrid Performance (Hyper) project laboratory. The MESA sensor lab developed as a component of this research will provide a development platform for investigating: 1) advanced control strategies, 2) testing and development of sensor hardware, 3) various modeling in-the-loop algorithms and 4) other advanced computational algorithms for improved plant performance using sensors, real-time models, and complex systems tools.

  4. Variable Renewable Energy in Long-Term Planning Models: A Multi-Model Perspective

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

    Cole, Wesley J.; Frew, Bethany A.; Mai, Trieu T.

    Long-term capacity expansion models of the U.S. electricity sector have long been used to inform electric sector stakeholders and decision makers. With the recent surge in variable renewable energy (VRE) generators - primarily wind and solar photovoltaics - the need to appropriately represent VRE generators in these long-term models has increased. VRE generators are especially difficult to represent for a variety of reasons, including their variability, uncertainty, and spatial diversity. To assess current best practices, share methods and data, and identify future research needs for VRE representation in capacity expansion models, four capacity expansion modeling teams from the Electric Powermore » Research Institute, the U.S. Energy Information Administration, the U.S. Environmental Protection Agency, and the National Renewable Energy Laboratory conducted two workshops of VRE modeling for national-scale capacity expansion models. The workshops covered a wide range of VRE topics, including transmission and VRE resource data, VRE capacity value, dispatch and operational modeling, distributed generation, and temporal and spatial resolution. The objectives of the workshops were both to better understand these topics and to improve the representation of VRE across the suite of models. Given these goals, each team incorporated model updates and performed additional analyses between the first and second workshops. This report summarizes the analyses and model 'experiments' that were conducted as part of these workshops as well as the various methods for treating VRE among the four modeling teams. The report also reviews the findings and learnings from the two workshops. We emphasize the areas where there is still need for additional research and development on analysis tools to incorporate VRE into long-term planning and decision-making.« less

  5. Directed Diffusion Modelling for Tesso Nilo National Parks Case Study

    NASA Astrophysics Data System (ADS)

    Yasri, Indra; Safrianti, Ery

    2018-01-01

    — Directed Diffusion (DD has ability to achieve energy efficiency in Wireless Sensor Network (WSN). This paper proposes Directed Diffusion (DD) modelling for Tesso Nilo National Parks (TNNP) case study. There are 4 stages of scenarios involved in this modelling. It’s started by appointing of sampling area through GPS coordinate. The sampling area is determined by optimization processes from 500m x 500m up to 1000m x 1000m with 100m increment in between. The next stage is sensor node placement. Sensor node is distributed in sampling area with three different quantities i.e. 20 nodes, 30 nodes and 40 nodes. One of those quantities is choose as an optimized sensor node placement. The third stage is to implement all scenarios in stages 1 and stages 2 on DD modelling. In the last stage, the evaluation process to achieve most energy efficient in the combination of optimized sampling area and optimized sensor node placement on Direct Diffusion (DD) routing protocol. The result shows combination between sampling area 500m x 500m and 20 nodes able to achieve energy efficient to support a forest preventive fire system at Tesso Nilo National Parks.

  6. National Action Plan for Energy Efficiency

    EPA Pesticide Factsheets

    Provides resources for policy-makers, consumers, utilities, and others produced through NAPEE - a private-public initiative to create a sustainable, aggressive national commitment to energy efficiency through a collaborative effort of stakeholders.

  7. Weather Correlations to Calculate Infiltration Rates for U. S. Commercial Building Energy Models.

    PubMed

    Ng, Lisa C; Quiles, Nelson Ojeda; Dols, W Stuart; Emmerich, Steven J

    2018-01-01

    As building envelope performance improves, a greater percentage of building energy loss will occur through envelope leakage. Although the energy impacts of infiltration on building energy use can be significant, current energy simulation software have limited ability to accurately account for envelope infiltration and the impacts of improved airtightness. This paper extends previous work by the National Institute of Standards and Technology that developed a set of EnergyPlus inputs for modeling infiltration in several commercial reference buildings using Chicago weather. The current work includes cities in seven additional climate zones and uses the updated versions of the prototype commercial building types developed by the Pacific Northwest National Laboratory for the U. S. Department of Energy. Comparisons were made between the predicted infiltration rates using three representations of the commercial building types: PNNL EnergyPlus models, CONTAM models, and EnergyPlus models using the infiltration inputs developed in this paper. The newly developed infiltration inputs in EnergyPlus yielded average annual increases of 3 % and 8 % in the HVAC electrical and gas use, respectively, over the original infiltration inputs in the PNNL EnergyPlus models. When analyzing the benefits of building envelope airtightening, greater HVAC energy savings were predicted using the newly developed infiltration inputs in EnergyPlus compared with using the original infiltration inputs. These results indicate that the effects of infiltration on HVAC energy use can be significant and that infiltration can and should be better accounted for in whole-building energy models.

  8. Definition of energy-calibrated spectra for national reachback

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

    Kunz, Christopher L.; Hertz, Kristin L.

    2014-01-01

    Accurate energy calibration is critical for the timeliness and accuracy of analysis results of spectra submitted to National Reachback, particularly for the detection of threat items. Many spectra submitted for analysis include either a calibration spectrum using 137Cs or no calibration spectrum at all. The single line provided by 137Cs is insufficient to adequately calibrate nonlinear spectra. A calibration source that provides several lines that are well-spaced, from the low energy cutoff to the full energy range of the detector, is needed for a satisfactory energy calibration. This paper defines the requirements of an energy calibration for the purposes ofmore » National Reachback, outlines a method to validate whether a given spectrum meets that definition, discusses general source considerations, and provides a specific operating procedure for calibrating the GR-135.« less

  9. NREL: News - Technology Review Honors National Renewable Energy Lab

    Science.gov Websites

    Engineer as One of the World's Top Young Innovators Technology Review Honors National Renewable Technology Magazine Golden, Colo., May 20, 2002 The U.S. Department of Energy's National Renewable Energy Systems, has been chosen as one of the world's 100 Top Young Innovators by Technology Review, MIT's

  10. Technology Innovation at the National Renewable Energy Laboratory (Text

    Science.gov Websites

    market, new processes out in the fields, and to make an impact." A photo montage of six different Version) | NREL Technology Innovation at the National Renewable Energy Laboratory (Text Version ) Technology Innovation at the National Renewable Energy Laboratory (Text Version) This is the text version for

  11. Energy modeling. Volume 2: Inventory and details of state energy models

    NASA Astrophysics Data System (ADS)

    Melcher, A. G.; Underwood, R. G.; Weber, J. C.; Gist, R. L.; Holman, R. P.; Donald, D. W.

    1981-05-01

    An inventory of energy models developed by or for state governments is presented, and certain models are discussed in depth. These models address a variety of purposes such as: supply or demand of energy or of certain types of energy; emergency management of energy; and energy economics. Ten models are described. The purpose, use, and history of the model is discussed, and information is given on the outputs, inputs, and mathematical structure of the model. The models include five models dealing with energy demand, one of which is econometric and four of which are econometric-engineering end-use models.

  12. 75 FR 32459 - National Energy Rating Program for Homes

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-06-08

    ... Homes AGENCY: Energy Efficiency and Renewable Energy, Department of Energy. ACTION: Request for... parties to assist DOE in developing a voluntary National Energy Rating Program for Homes. The purpose of this program is to encourage consumers to invest in energy improvements in existing homes by providing...

  13. Batteries and Energy Storage | Argonne National Laboratory

    Science.gov Websites

    -energy density lithium-ion batteries, while using our fundamental science capabilities to develop storage ), headquartered at Argonne National Laboratory, seeks to develop new technologies that move beyond lithium-ion Transportation SPOTLIGHT Batteries and Energy Storage Argonne's all- encompassing battery research program spans

  14. Establishment of a National Wind Energy Center at University of Houston

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

    Wang, Su Su

    The DOE-supported project objectives are to: establish a national wind energy center (NWEC) at University of Houston and conduct research to address critical science and engineering issues for the development of future large MW-scale wind energy production systems, especially offshore wind turbines. The goals of the project are to: (1) establish a sound scientific/technical knowledge base of solutions to critical science and engineering issues for developing future MW-scale large wind energy production systems, (2) develop a state-of-the-art wind rotor blade research facility at the University of Houston, and (3) through multi-disciplinary research, introducing technology innovations on advanced wind-turbine materials, processing/manufacturingmore » technology, design and simulation, testing and reliability assessment methods related to future wind turbine systems for cost-effective production of offshore wind energy. To achieve the goals of the project, the following technical tasks were planned and executed during the period from April 15, 2010 to October 31, 2014 at the University of Houston: (1) Basic research on large offshore wind turbine systems (2) Applied research on innovative wind turbine rotors for large offshore wind energy systems (3) Integration of offshore wind-turbine design, advanced materials and manufacturing technologies (4) Integrity and reliability of large offshore wind turbine blades and scaled model testing (5) Education and training of graduate and undergraduate students and post- doctoral researchers (6) Development of a national offshore wind turbine blade research facility The research program addresses both basic science and engineering of current and future large wind turbine systems, especially offshore wind turbines, for MW-scale power generation. The results of the research advance current understanding of many important scientific issues and provide technical information for solving future large wind turbines with advanced

  15. National Assessment of Energy Storage for Grid Balancing and Arbitrage: Phase 1, WECC

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

    Kintner-Meyer, Michael CW; Balducci, Patrick J.; Colella, Whitney G.

    2012-06-01

    To examine the role that energy storage could play in mitigating the impacts of the stochastic variability of wind generation on regional grid operation, the Pacific Northwest National Laboratory (PNNL) examined a hypothetical 2020 grid scenario in which additional wind generation capacity is built to meet renewable portfolio standard targets in the Western Interconnection. PNNL developed a stochastic model for estimating the balancing requirements using historical wind statistics and forecasting error, a detailed engineering model to analyze the dispatch of energy storage and fast-ramping generation devices for estimating size requirements of energy storage and generation systems for meeting new balancingmore » requirements, and financial models for estimating the life-cycle cost of storage and generation systems in addressing the future balancing requirements for sub-regions in the Western Interconnection. Evaluated technologies include combustion turbines, sodium sulfur (Na-S) batteries, lithium ion batteries, pumped-hydro energy storage, compressed air energy storage, flywheels, redox flow batteries, and demand response. Distinct power and energy capacity requirements were estimated for each technology option, and battery size was optimized to minimize costs. Modeling results indicate that in a future power grid with high-penetration of renewables, the most cost competitive technologies for meeting balancing requirements include Na-S batteries and flywheels.« less

  16. National Offshore Wind Energy Grid Interconnection Study

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

    Daniel, John P.; Liu, Shu; Ibanez, Eduardo

    2014-07-30

    The National Offshore Wind Energy Grid Interconnection Study (NOWEGIS) considers the availability and potential impacts of interconnecting large amounts of offshore wind energy into the transmission system of the lower 48 contiguous United States. A total of 54GW of offshore wind was assumed to be the target for the analyses conducted. A variety of issues are considered including: the anticipated staging of offshore wind; the offshore wind resource availability; offshore wind energy power production profiles; offshore wind variability; present and potential technologies for collection and delivery of offshore wind energy to the onshore grid; potential impacts to existing utility systemsmore » most likely to receive large amounts of offshore wind; and regulatory influences on offshore wind development. The technologies considered the reliability of various high-voltage ac (HVAC) and high-voltage dc (HVDC) technology options and configurations. The utility system impacts of GW-scale integration of offshore wind are considered from an operational steady-state perspective and from a regional and national production cost perspective.« less

  17. FY 2009 National Renewable Energy Laboratory (NREL) Annual Report: A Year of Energy Transformation

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

    Not Available

    2010-01-01

    This FY2009 Annual Report surveys the National Renewable Energy Laboratory's (NREL) accomplishments in renewable energy and energy efficiency research and development, commercialization and deployment of technologies, and strategic energy analysis. It offers NREL's vision and progress in building a clean, sustainable research campus and reports on community involvement.

  18. The energy trilogy: An integrated sustainability model to bridge wastewater treatment plant energy and emissions gaps

    NASA Astrophysics Data System (ADS)

    Al-Talibi, A. Adhim

    An estimated 4% of national energy consumption is used for drinking water and wastewater services. Despite the awareness and optimization initiatives for energy conservation, energy consumption is on the rise owing to population and urbanization expansion and to commercial and industrial business advancement. The principal concern is since energy consumption grows, the higher will be the energy production demand, leading to an increase in CO2 footprints and the contribution to global warming potential. This research is in the area of energy-water nexus, focusing on wastewater treatment plant (WWTP) energy trilogy -- the group of three related entities, which includes processes: (1) consuming energy, (2) producing energy, and (3) the resulting -- CO2 equivalents. Detailed and measurable energy information is not readily obtained for wastewater facilities, specifically during facility preliminary design phases. These limitations call for data-intensive research approach on GHG emissions quantification, plant efficiencies and source reduction techniques. To achieve these goals, this research introduced a model integrating all plant processes and their pertinent energy sources. In a comprehensive and "Energy Source-to-Effluent Discharge" pattern, this model is capable of bridging the gaps of WWTP energy, facilitating plant designers' decision-making for meeting energy assessment, sustainability and the environmental regulatory compliance. Protocols for estimating common emissions sources are available such as for fuels, whereas, site-specific emissions for other sources have to be developed and are captured in this research. The dissertation objectives were met through an extensive study of the relevant literature, models and tools, originating comprehensive lists of processes and energy sources for WWTPs, locating estimation formulas for each source, identifying site specific emissions factors, and linking the sources in a mathematical model for site specific CO2 e

  19. EnergySmart Schools National Financing Roundtable--Key Outcomes

    ERIC Educational Resources Information Center

    US Department of Energy, 2009

    2009-01-01

    As a follow-up to the release of its "Guide to Financing EnergySmart Schools", the U.S. Department of Energy's EnergySmart Schools program hosted the National Financing Roundtable on February 5, 2009. This event was held prior to the seventh Annual High Performance Schools Symposium, hosted by the Council of Educational Facility Planners…

  20. Weather Driven Renewable Energy Analysis, Modeling New Technologies

    NASA Astrophysics Data System (ADS)

    Paine, J.; Clack, C.; Picciano, P.; Terry, L.

    2015-12-01

    Carbon emission reduction is essential to hampering anthropogenic climate change. While there are several methods to broach carbon reductions, the National Energy with Weather System (NEWS) model focuses on limiting electrical generation emissions by way of a national high-voltage direct-current transmission that takes advantage of the strengths of different regions in terms of variable sources of energy. Specifically, we focus upon modeling concentrating solar power (CSP) as another source to contribute to the electric grid. Power tower solar fields are optimized taking into account high spatial and temporal resolution, 13km and hourly, numerical weather prediction model data gathered by NOAA from the years of 2006-2008. Importantly, the optimization of these CSP power plants takes into consideration factors that decrease the optical efficiency of the heliostats reflecting solar irradiance. For example, cosine efficiency, atmospheric attenuation, and shadowing are shown here; however, it should be noted that they are not the only limiting factors. While solar photovoltaic plants can be combined for similar efficiency to the power tower and currently at a lower cost, they do not have a cost-effective capability to provide electricity when there are interruptions in solar irradiance. Power towers rely on a heat transfer fluid, which can be used for thermal storage changing the cost efficiency of this energy source. Thermal storage increases the electric stability that many other renewable energy sources lack, and thus, the ability to choose between direct electric conversion and thermal storage is discussed. The figure shown is a test model of a CSP plant made up of heliostats. The colors show the optical efficiency of each heliostat at a single time of the day.

  1. America’s Strategic Imperative: A National Energy Policy Manhattan Project

    DTIC Science & Technology

    2005-02-25

    AIR WAR COLLEGE AIR UNIVERSITY AMERICA’S STRATEGIC IMPERATIVE: A NATIONAL ENERGY POLICY MANHATTAN PROJECT by John M. Amidon, Lt Col, USAF A...COVERED 00-00-2005 to 00-00-2005 4. TITLE AND SUBTITLE America’s Strategic Imperative: A National Energy Policy Manhattan Project 5a. CONTRACT...Peak.......................................................................................................30 A MANHATTAN PROJECT FOR ENERGY

  2. National Interim Energy-Consumption Survey. Part VI. Energy assessment

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

    Not Available

    The goal of energy assessment of the housing unit is to obtain physical information which can be combined with other survey results to give a more complete picture of the residential environment. A limited pretest of an energy assessment procedure was carried out in April-June 1979 with a subsample of 44 households that had been originally interviewed in the National Interim Energy Consumption Survey. In order to gain experience under a variety of environmental conditions, the pretest sites included locations in the Northeast, North Central, and South regions. As developed for the pretest, the energy assessment was a 90-minute inspectionmore » of the housing unit by a trained technician. Data collected during the inspection included square footage of the unit; age, make, and characteristics of appliances; insulation characteristics, characteristics of siting and apertures; and detailed information on the heating and cooling systems in the unit. The report describes the data collection procedures for the pretest.« less

  3. Energy Efficiency, Water Efficiency, and Renewable Energy Site Assessment: San Juan National Forest - Dolores Ranger District, Colorado

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

    Kandt, Alicen J.; Kiatreungwattana, Kosol

    This report summarizes the results from an energy efficiency, water efficiency, and renewable energy site assessment of the Dolores Ranger District in the San Juan National Forest in Colorado. A team led by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) conducted the assessment with United States Forest Service (USFS) personnel on August 16-17, 2016, as part of ongoing efforts by USFS to reduce energy and water use and implement renewable energy technologies. The assessment is approximately an American Society of Heating, Refrigerating, and Air-Conditioning Engineers Level 2 audit and meets Energy Independence and Security Act requirements.

  4. Comparative Review of a Dozen National Energy Plans: Focus on Renewable and Efficient Energy

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

    Logan, J.; James, T. L.

    2009-03-01

    Dozens of groups have submitted energy, environmental, and economic recovery plans for consideration by the Obama administration and the 111th Congress. This report provides a comparative analysis of 12 national proposals, focusing especially on energy efficiency (EE) and renewable energy (RE) market and policy issues.

  5. Alternate Energy for National Security.

    NASA Astrophysics Data System (ADS)

    Rath, Bhakta

    2010-02-01

    Recent price fluctuations at the gas pump have brought our attention to the phenomenal increase of global energy consumption in recent years. It is now evident that we have almost reached a peak in global oil production. Several projections indicate that total world consumption of oil will rise by nearly 60 per cent between 1999 and 2020. In 1999 consumption was equivalent to 86 million barrels of oil per day, which has reached a peak of production extracted from most known oil reserves. These projections, if accurate, will present an unprecedented crisis to the global economy and industry. As an example, in the US, nearly 40 per cent of energy usage is provided by petroleum, of which nearly a third is used in transportation. The US Department of Defense (DOD) is the single largest buyer of fuel, amounting to, on the average, 13 million gallons per day. Additionally, these fuels have to meet different requirements that prevent use of ethanol additives and biodiesel. An aggressive search for alternate energy sources, both renewable and nonrenewable, is vital. The presentation will review national and DOD perspectives on the exploration of alternate energy with a focus on energy derivable from the ocean. )

  6. Directory of Energy Information Administration Model Abstracts

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

    Not Available

    1986-07-16

    This directory partially fulfills the requirements of Section 8c, of the documentation order, which states in part that: The Office of Statistical Standards will annually publish an EIA document based on the collected abstracts and the appendices. This report contains brief statements about each model's title, acronym, purpose, and status, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. All models active through March 1985 are included. The main body of this directory is an alphabetical list of all active EIA models. Appendix A identifies major EIA modeling systems and the models withinmore » these systems, and Appendix B identifies active EIA models by type (basic, auxiliary, and developing). EIA also leases models developed by proprietary software vendors. Documentation for these proprietary models is the responsibility of the companies from which they are leased. EIA has recently leased models from Chase Econometrics, Inc., Data Resources, Inc. (DRI), the Oak Ridge National Laboratory (ORNL), and Wharton Econometric Forecasting Associates (WEFA). Leased models are not abstracted here. The directory is intended for the use of energy and energy-policy analysts in the public and private sectors.« less

  7. Renewable energy and power cooperation between China and six Latin American nations

    NASA Astrophysics Data System (ADS)

    Xie, Yuetao; Yan, Bingzhong; Zhou, Shichun

    2018-02-01

    China has been entitled the biggest supplier and largest market of renewable energy for the past few years. With One Belt and One Road initiative carrying on, the China’s renewable energy industry is looking for opportunities across the world. Latin America, which has rich renewable energy resources and urge demand for a cleaner and more sustainable energy system, may become an important target market for China. The prospect and potential of renewable energy cooperation between China and Latin America are promising. In this paper, six Latin American nations of varied background were selected as study cases. Their nation profile, energy resources, power market, and energy development trends were analysed, and the cooperation prospect and potential between these nations and China in renewable energy sector were discussed. The results indicate that Argentina and Bolivia are most potential cooperation partners, and project development and equipment manufacturing of non-hydro renewable energy, along with power grid upgrading are the prioritized areas. In addition, recommendations and solutions addressing the issues and challenges incurred in the current bilateral energy cooperation between China and Latin American nations were proposed.

  8. MEDISE: A macroeconomic model for energy planning in Costa Rica

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

    Booth, S.R.; Leiva, C.L.

    This report describes the development and results of MEDISE, an econometric macroeconomic model for energy planning in Costa Rica. The model is a simultaneous system of 19 equations that was constructed using ENERPLAN, an energy planning tool developed by the United Nations for use in developing countries. The equations were estimated using regression analysis on a data time series of 1966 to 1984. ENERPLAN's model solution package was used to obtain forecasts of 19 economic variables from 1985 to 2005. the modeling effort was conducted jointly by Los Alamos Central American Energy and Resources Project (CAP) personnel and the Energymore » Sector Directorate of Costa Rica during 1986. The CAP was funded by the US Agency for International Development. 6 refs., 3 figs., 11 tabs.« less

  9. National Renewable Energy Laboratory Renewable Energy Opportunity Assessment for USAID Mexico

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

    Watson, Andrea; Bracho, Ricardo; Romero, Rachel

    The United States Agency for International Development (USAID) Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) program is designing its second phase of assistance to the Government of Mexico (GOM). In preparation for program design, USAID has asked the National Renewable Energy Laboratory (NREL) to assist in identifying options for enabling renewable energy in Mexico and reducing greenhouse gas (GHG) emissions in the energy sector. The NREL team conducted a literature review and consulted with over 20 Mexican agencies and organizations during a two-week temporary duty assignment (TDY) to Mexico to identify gaps, opportunities, and program theme areas for Mexico.

  10. 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.)

  11. 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.)

  12. 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.)

  13. The National Ignition Facility: the path to a carbon-free energy future.

    PubMed

    Stolz, Christopher J

    2012-08-28

    The National Ignition Facility (NIF), the world's largest and most energetic laser system, is now operational at Lawrence Livermore National Laboratory. The NIF will enable exploration of scientific problems in national strategic security, basic science and fusion energy. One of the early NIF goals centres on achieving laboratory-scale thermonuclear ignition and energy gain, demonstrating the feasibility of laser fusion as a viable source of clean, carbon-free energy. This talk will discuss the precision technology and engineering challenges of building the NIF and those we must overcome to make fusion energy a commercial reality.

  14. National Offshore Wind Energy Grid Interconnection Study Full Report

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

    Daniel, John P.; Liu, Shu; Ibanez, Eduardo

    2014-07-30

    The National Offshore Wind Energy Grid Interconnection Study (NOWEGIS) considers the availability and potential impacts of interconnecting large amounts of offshore wind energy into the transmission system of the lower 48 contiguous United States.

  15. Alternative Fuel Light-Duty Vehicles: Summary of Results From the National Renewable Energy Laboratory's Vehicle Evaluation Data Collection Efforts

    DOT National Transportation Integrated Search

    1996-05-01

    The U.S. Department of Energy's National Renewable Energy Laboratory conducted : a data collection project for light-duty, alternative fuel vehicles (AFVs) for : about 4 years. The project has collected data on 10 vehicle models (from the : original ...

  16. 78 FR 61813 - National Energy Action Month, 2013

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-04

    ... the challenges of the 21st century, we must work to ensure a clean, safe, and sustainable energy... environment. As a Nation, we are taking control of our energy future, and my Administration remains committed... into the environment than we have in nearly two decades. While we have made significant progress, more...

  17. Energy R & D: Under Pressure, a National Policy Takes Form

    ERIC Educational Resources Information Center

    Gillette, Robert

    1973-01-01

    Outlines the 5 year, 10 billion dollar energy research and development plan proposed by the newly constituted Energy R Advisory Council of the White House Energy Policy Office. The formulation of a national energy policy is in response to President Nixon's proposed Project Independence. (JR)

  18. First results from the International Urban Energy Balance Model Comparison: Model Complexity

    NASA Astrophysics Data System (ADS)

    Blackett, M.; Grimmond, S.; Best, M.

    2009-04-01

    A great variety of urban energy balance models has been developed. These vary in complexity from simple schemes that represent the city as a slab, through those which model various facets (i.e. road, walls and roof) to more complex urban forms (including street canyons with intersections) and features (such as vegetation cover and anthropogenic heat fluxes). Some schemes also incorporate detailed representations of momentum and energy fluxes distributed throughout various layers of the urban canopy layer. The models each differ in the parameters they require to describe the site and the in demands they make on computational processing power. Many of these models have been evaluated using observational datasets but to date, no controlled comparisons have been conducted. Urban surface energy balance models provide a means to predict the energy exchange processes which influence factors such as urban temperature, humidity, atmospheric stability and winds. These all need to be modelled accurately to capture features such as the urban heat island effect and to provide key information for dispersion and air quality modelling. A comparison of the various models available will assist in improving current and future models and will assist in formulating research priorities for future observational campaigns within urban areas. In this presentation we will summarise the initial results of this international urban energy balance model comparison. In particular, the relative performance of the models involved will be compared based on their degree of complexity. These results will inform us on ways in which we can improve the modelling of air quality within, and climate impacts of, global megacities. The methodology employed in conducting this comparison followed that used in PILPS (the Project for Intercomparison of Land-Surface Parameterization Schemes) which is also endorsed by the GEWEX Global Land Atmosphere System Study (GLASS) panel. In all cases, models were run

  19. The National Ignition Facility: The Path to a Carbon-Free Energy Future

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

    Stolz, C J

    2011-03-16

    The National Ignition Facility (NIF), the world's largest and most energetic laser system, is now operational at Lawrence Livermore National Laboratory (LLNL). The NIF will enable exploration of scientific problems in national strategic security, basic science and fusion energy. One of the early NIF goals centers on achieving laboratory-scale thermonuclear ignition and energy gain, demonstrating the feasibility of laser fusion as a viable source of clean, carbon-free energy. This talk will discuss the precision technology and engineering challenges of building the NIF and those we must overcome to make fusion energy a commercial reality.

  20. A Comparative Review of a Dozen National Energy Plans. Focus on Renewable and Efficient Energy

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

    Logan, Jeffrey; James, Ted L.

    2009-03-01

    Dozens of groups have submitted energy, environmental, and economic recovery plans for consideration by the Obama administration and the 111th Congress. This report provides a comparative analysis of 12 national proposals, focusing especially on energy efficiency (EE) and renewable energy (RE) market and policy issues.

  1. A National Energy-Water System Assessment Framework (NEWS): Synopsis of Stage 1 Research Strategy and Results

    NASA Astrophysics Data System (ADS)

    Vorosmarty, C. J.; Miara, A.; Macknick, J.; Newmark, R. L.; Cohen, S.; Sun, Y.; Tidwell, V. C.; Corsi, F.; Melillo, J. M.; Fekete, B. M.; Proussevitch, A. A.; Glidden, S.; Suh, S.

    2017-12-01

    The focus of this talk is on climate adaptation and the reliability of power supply infrastructure when viewed through the lens of strategic water issues. Power supply is critically dependent upon water resources, particularly to cool thermoelectric plants, making the sector particularly sensitive to any shifts in the geography or seasonality of water supply. We report on results from an NSF-Funded Water Sustainability and Climate effort aimed at uncovering key energy and economic system vulnerabilities. We have developed the National Energy-Water System assessment framework (NEWS) to systematically evaluate: a) the performance of the nation's electricity sector under multiple climate scenarios; b) the feasibility of alternative pathways to improve climate adaptation; and, c) the impacts of energy technology and investment tradeoffs on the economic productivity, water availability and aquatic ecosystem condition. Our project combines core engineering and geophysical models (ReEDS [Regional Energy Deployment System], TP2M [Thermoelectric Power and Thermal Pollution], and WBM [Water Balance]) through unique digital "handshake" protocols that operate across different institutions and modeling platforms. Combined system outputs are fed into a regional-to-national scale economic input/output model to evaluate economic consequences of climate constraints, technology choices, and environmental regulation. The impact assessments in NEWS are carried out through a series of climate/energy policy scenario studies to 2050. We find that despite significant climate-water impacts on individual plants, the current US power supply infrastructure shows potential for adaptation to future climates by capitalizing on the size of regional power systems, grid configuration and improvements in thermal efficiencies. However, the magnitude and implications of climate-water impacts vary depending on the configuration of the future power sector. To evaluate future power supply performance, we

  2. Western States and National Energy Policy: The New States' Rights.

    ERIC Educational Resources Information Center

    Hall, Timothy A.; And Others

    1978-01-01

    Energy development in western states has contributed to demands for new states' rights. Western states want a more active part in federal energy policy formulation. Article discusses recent intergovernmental relations, federal-state relations, and the effects of national energy, environmental, and related policies on energy resource development in…

  3. Energy efficiency in nonprofit agencies: Creating effective program models

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

    Brown, M.A.; Prindle, B.; Scherr, M.I.

    Nonprofit agencies are a critical component of the health and human services system in the US. It has been clearly demonstrated by programs that offer energy efficiency services to nonprofits that, with minimal investment, they can educe their energy consumption by ten to thirty percent. This energy conservation potential motivated the Department of Energy and Oak Ridge National Laboratory to conceive a project to help states develop energy efficiency programs for nonprofits. The purpose of the project was two-fold: (1) to analyze existing programs to determine which design and delivery mechanisms are particularly effective, and (2) to create model programsmore » for states to follow in tailoring their own plans for helping nonprofits with energy efficiency programs. Twelve existing programs were reviewed, and three model programs were devised and put into operation. The model programs provide various forms of financial assistance to nonprofits and serve as a source of information on energy efficiency as well. After examining the results from the model programs (which are still on-going) and from the existing programs, several replicability factors'' were developed for use in the implementation of programs by other states. These factors -- some concrete and practical, others more generalized -- serve as guidelines for states devising program based on their own particular needs and resources.« less

  4. Innovative Commercialization Efforts Underway at the National Renewable Energy Laboratory

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

    Cheesbrough, Kate; Bader, Meghan

    New clean energy and energy efficiency technology solutions hold the promise of significant reductions in energy consumption. However, proven barriers for these technologies, including the technological and commercialization valleys of death, result in promising technologies falling to the wayside. To address these gaps, NREL's Innovation & Entrepreneurship Center designs and manages advanced programs aimed at supporting the development and commercialization of early stage clean energy technologies with the goal of accelerating new technologies to market. These include: Innovation Incubator (IN2) in partnership with Wells Fargo: this technology incubator supports energy efficiency building-related startups to overcome market gaps by providing accessmore » to technical support at NREL; Small Business Voucher Pilot: this program offers paid vouchers for applicants to access a unique skill, capability, or facility at any of the 17 DOE National Laboratories to bring next-generation clean energy technologies to market; Energy Innovation Portal: NREL designed and developed the Energy Innovation Portal, providing access to EERE focused intellectual property available for licensing from all of the DOE National Laboratories; Lab-Corps: Lab-Corps aims to better train and empower national lab researchers to understand market drivers and successfully transition their discoveries into high-impact, real world technologies in the private sector; Incubatenergy Network: the Network provides nationwide coordination of clean energy business incubators, share best practices, support clean energy entrepreneurs, and help facilitate a smoother transition to a more sustainable clean energy economy; Industry Growth Forum: the Forum is the perfect venue for clean energy innovators to maximize their exposure to receptive capital and strategic partners. Since 2003, presenting companies have collectively raised more than $5 billion in growth financing.« less

  5. National Research Council Research Associateships Program with Methane Hydrates Fellowships Program/National Energy Technology Laboratory

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

    Basques, Eric O.

    2014-03-20

    This report summarizes work carried out over the period from July 5, 2005-January 31, 2014. The work was carried out by the National Research Council Research Associateships Program of the National Academies, under the US Department of Energy's National Energy Technology Laboratory (NETL) program. This Technical Report consists of a description of activity from 2005 through 2014, broken out within yearly timeframes, for NRC/NETL Associateships researchers at NETL laboratories which includes individual tenure reports from Associates over this time period. The report also includes individual tenure reports from associates over this time period. The report also includes descriptions of programmore » promotion efforts, a breakdown of the review competitions, awards offered, and Associate's activities during their tenure.« less

  6. Introduction of Energy and Climate Mitigation Policy Issues in Energy - Environment Model of Latvia

    NASA Astrophysics Data System (ADS)

    Klavs, G.; Rekis, J.

    2016-12-01

    The present research is aimed at contributing to the Latvian national climate policy development by projecting total GHG emissions up to 2030, by evaluating the GHG emission reduction path in the non-ETS sector at different targets set for emissions reduction and by evaluating the obtained results within the context of the obligations defined by the EU 2030 policy framework for climate and energy. The method used in the research was bottom-up, linear programming optimisation model MARKAL code adapted as the MARKAL-Latvia model with improvements for perfecting the integrated assessment of climate policy. The modelling results in the baseline scenario, reflecting national economic development forecasts and comprising the existing GHG emissions reduction policies and measures, show that in 2030 emissions will increase by 19.1 % compared to 2005. GHG emissions stabilisation and reduction in 2030, compared to 2005, were researched in respective alternative scenarios. Detailed modelling and analysis of the Latvian situation according to the scenario of non-ETS sector GHG emissions stabilisation and reduction in 2030 compared to 2005 have revealed that to implement a cost effective strategy of GHG emissions reduction first of all a policy should be developed that ensures effective absorption of the available energy efficiency potential in all consumer sectors. The next group of emissions reduction measures includes all non-ETS sectors (industry, services, agriculture, transport, and waste management).

  7. National Energy Conservation Policy Act. Public Law 95-619, 95th Congress.

    ERIC Educational Resources Information Center

    Congress of the U.S., Washington, DC.

    This publication is the National Energy Conservation Policy Act (P.L. 95-619). The purposes of this act are to provide for the regulation of interstate commerce, to reduce the growth in demand for energy in the United States, and to conserve nonrenewable energy resources produced in this nation and elsewhere, without inhibiting beneficial economic…

  8. Access to primary energy sources - the basis of national energy security

    NASA Astrophysics Data System (ADS)

    Szlązak, Jan; Szlązak, Rafał A.

    2017-11-01

    National energy security is of fundamental importance for economic development of a country. To ensure such safety energy raw material, also called primary energy sources, are necessary. Currently in Poland primary energy sources include mainly fossil fuels, such as hard coal, brown coal, natural gas and crude oil. Other sources, e.g. renewable energy sources account for c. 15% in the energy mix. Primary energy sources are used to produce mainly electricity, which is considered as the cleanest form of energy. Poland does not have, unfortunately, sufficient energy sources and is forced to import some of them, mainly natural gas and crude oil. The article presents an insightful analysis of energy raw material reserves possessed by Poland and their structure taking account of the requirements applicable in the European Union, in particular, those related to environmental protection. The article also describes demand for electricity now and in the perspective of 2030. Primary energy sources necessary for its production have also been given. The article also includes the possibilities for the use of renewable energy sources in Poland, however, climatic conditions there are not are not particularly favourable to it. All the issues addressed in the article are summed up and ended with conclusions.

  9. International Energy Agency Ocean Energy Systems Task 10 Wave Energy Converter Modeling Verification and Validation: Preprint

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

    Wendt, Fabian F; Yu, Yi-Hsiang; Nielsen, Kim

    This is the first joint reference paper for the Ocean Energy Systems (OES) Task 10 Wave Energy Converter modeling verification and validation group. The group is established under the OES Energy Technology Network program under the International Energy Agency. OES was founded in 2001 and Task 10 was proposed by Bob Thresher (National Renewable Energy Laboratory) in 2015 and approved by the OES Executive Committee EXCO in 2016. The kickoff workshop took place in September 2016, wherein the initial baseline task was defined. Experience from similar offshore wind validation/verification projects (OC3-OC5 conducted within the International Energy Agency Wind Task 30)more » [1], [2] showed that a simple test case would help the initial cooperation to present results in a comparable way. A heaving sphere was chosen as the first test case. The team of project participants simulated different numerical experiments, such as heave decay tests and regular and irregular wave cases. The simulation results are presented and discussed in this paper.« less

  10. Summary Impacts of Modeled Provisions of the 2003 Conference Energy Bill

    EIA Publications

    2004-01-01

    This service report was undertaken at the February 2, 2004, request of Senator John Sununu to perform an assessment of the Conference Energy Bill of 2003. This report summarizes the CEB provisions that can be analyzed using the National Energy Modeling System (NEMS) and have the potential to affect energy consumption, supply, and prices. The impacts are estimated by comparing the projections with the CEB provisions to the AEO2004 Reference Case.

  11. America's Changing Energy Landscape - USGS National Coal Resources Data System Changes to National Energy Resources Data System.

    NASA Astrophysics Data System (ADS)

    East, J. A., II

    2016-12-01

    The U.S. Geological Survey's (USGS) Eastern Energy Resources Science Center (EERSC) has an ongoing project which has mapped coal chemistry and stratigraphy since 1977. Over the years, the USGS has collected various forms of coal data and archived that data into the National Coal Resources Data System (NCRDS) database. NCRDS is a repository that houses data from the major coal basins in the United States and includes information on location, seam thickness, coal rank, geologic age, geographic region, geologic province, coalfield, and characteristics of the coal or lithology for that data point. These data points can be linked to the US Coal Quality Database (COALQUAL) to include ultimate, proximate, major, minor and trace-element data. Although coal is an inexpensive energy provider, the United States has shifted away from coal usage recently and branched out into other forms of non-renewable and renewable energy because of environmental concerns. NCRDS's primary method of data capture has been USGS field work coupled with cooperative agreements with state geological agencies and universities doing coal-related research. These agreements are on competitive five-year cycles that have evolved into larger scope research efforts including solid fuel resources such as coal-bed methane, shale gas and oil. Recently these efforts have expanded to include environmental impacts of the use of fossil fuels, which has allowed the USGS to enter into agreements with states for the Geologic CO2 Storage Resources Assessment as required by the Energy Independence and Security Act. In 2016 they expanded into research areas to include geothermal, conventional and unconventional oil and gas. The NCRDS and COALQUAL databases are now online for the public to use, and are in the process of being updated to include new data for other energy resources. Along with this expansion of scope, the database name will change to the National Energy Resources Data System (NERDS) in FY 2017.

  12. Modeling the intersections of Food, Energy, and Water in climate-vulnerable Ethiopia with an application to small-scale irrigation

    NASA Astrophysics Data System (ADS)

    Zhang, Y.; Sankaranarayanan, S.; Zaitchik, B. F.; Siddiqui, S.

    2017-12-01

    Africa is home to some of the most climate vulnerable populations in the world. Energy and agricultural development have diverse impacts on the region's food security and economic well-being from the household to the national level, particularly considering climate variability and change. Our ultimate goal is to understand coupled Food-Energy-Water (FEW) dynamics across spatial scales in order to quantify the sensitivity of critical human outcomes to FEW development strategies in Ethiopia. We are developing bottom-up and top-down multi-scale models, spanning local, sub-national and national scales to capture the FEW linkages across communities and climatic adaptation zones. The focus of this presentation is the sub-national scale multi-player micro-economic (MME) partial-equilibrium model with coupled food and energy sector for Ethiopia. With fixed large-scale economic, demographic, and resource factors from the national scale computable general equilibrium (CGE) model and inferences of behavior parameters from the local scale agent-based model (ABM), the MME studies how shocks such as drought (crop failure) and development of resilience technologies would influence FEW system at a sub-national scale. The MME model is based on aggregating individual optimization problems for relevant players. It includes production, storage, and consumption of food and energy at spatially disaggregated zones, and transportation in between with endogenously modeled infrastructure. The aggregated players for each zone have different roles such as crop producers, storage managers, and distributors, who make decisions according to their own but interdependent objective functions. The food and energy supply chain across zones is therefore captured. Ethiopia is dominated by rain-fed agriculture with only 2% irrigated farmland. Small-scale irrigation has been promoted as a resilience technology that could potentially play a critical role in food security and economic well-being in

  13. Energy Models

    EPA Science Inventory

    Energy models characterize the energy system, its evolution, and its interactions with the broader economy. The energy system consists of primary resources, including both fossil fuels and renewables; power plants, refineries, and other technologies to process and convert these r...

  14. Publications | Regional Energy Deployment System Model | Energy Analysis |

    Science.gov Websites

    Methodologies: Approximated DC Flow vs. Pipe Flow along AC Lines. Golden, CO: National Renewable Energy Energy. DOE/GO-102015-4557. Macknick, Jordan, and Stuart Cohen. 2015. Water Impacts of High Solar PV , Jordan, Stuart Cohen, Robin Newmark, Andrew Martinez, Patrick Sullivan, and Vince Tidwell. 2015. Water

  15. Sitewide Environmental Assessment for the National Renewable Energy Laboratory, Golden, Colorado

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

    Not Available

    1993-05-04

    The Solar Energy Research, Development, and Demonstration Act of 1974 authorized a federal program to develop solar energy as a viable source of the nation`s future energy needs. Under this authority, the National Renewable Energy Laboratory (NREL) was created as a laboratory of the Department of Energy (DOE) to research a number of renewable energy possibilities. The laboratory conducts its operations both in government-owned facilities on the NREL South Table Mountain (STM) Site near Golden, Colorado, and in a number of leased facilities, particularly the Denver West Office Park. NREL operations include research in energy technologies, and other areas ofmore » national environmental and energy technology interest. Examples of these technologies include electricity from sunlight with solar cells (photovoltaics); energy from wind (windmills or wind turbines); conversion of plants and plant products (biomass) into liquid fuels (ethanol and methanol); heat from the sun (solar thermal) in place of wood, oil, gas, coal and other forms of heating; and solar buildings. NREL proposes to continue and expand the present R&D efforts in C&R energy by making infrastructure improvements and constructing facilities to eventually consolidate the R&D and associated support activities at its STM Site. In addition, it is proposed that operations continue in current leased space at the present levels of activity until site development is complete. The construction schedule proposed is designed to develop the site as rapidly as possible, dependent on Congressional funding, to accommodate not only the existing R&D that is being conducted in leased facilities off-site but to also allow for the 20-year projected growth. Impacts from operations currently conducted off-site are quantified and added to the cumulative impacts of the STM site. This environmental assessment provides information to determine the severity of impacts on the environment from the proposed action.« less

  16. JEDI: Jobs and Economic Development Impacts Model, National Renewable Energy Laboratory (NREL) (Fact Sheet)

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

    Not Available

    2009-12-01

    The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local (usually state) level. First developed by NREL's Wind Powering America program to model wind energy jobs and impacts, JEDI has been expanded to biofuels, concentrating solar power, coal, and natural gas power plants. Based on project-specific and default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area (usually a state) that could reasonably be supported by a power generation project. For example, JEDImore » estimates the number of in-state construction jobs from a new wind farm. This fact sheet provides an overview of the JEDI model as it pertains to wind energy projects.« less

  17. University of Washington/ Northwest National Marine Renewable Energy Center Tidal Current Technology Test Protocol, Instrumentation, Design Code, and Oceanographic Modeling Collaboration: Cooperative Research and Development Final Report, CRADA Number CRD-11-452

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

    Driscoll, Frederick R.

    The University of Washington (UW) - Northwest National Marine Renewable Energy Center (UW-NNMREC) and the National Renewable Energy Laboratory (NREL) will collaborate to advance research and development (R&D) of Marine Hydrokinetic (MHK) renewable energy technology, specifically renewable energy captured from ocean tidal currents. UW-NNMREC is endeavoring to establish infrastructure, capabilities and tools to support in-water testing of marine energy technology. NREL is leveraging its experience and capabilities in field testing of wind systems to develop protocols and instrumentation to advance field testing of MHK systems. Under this work, UW-NNMREC and NREL will work together to develop a common instrumentation systemmore » and testing methodologies, standards and protocols. UW-NNMREC is also establishing simulation capabilities for MHK turbine and turbine arrays. NREL has extensive experience in wind turbine array modeling and is developing several computer based numerical simulation capabilities for MHK systems. Under this CRADA, UW-NNMREC and NREL will work together to augment single device and array modeling codes. As part of this effort UW NNMREC will also work with NREL to run simulations on NREL's high performance computer system.« less

  18. Resiliency Planning for the Quinault Indian Nation | Integrated Energy

    Science.gov Websites

    into its community planning. Landscape photo of a shoreline After two seawall breaches and associated disaster declarations, the Quinault Indian Nation partnered with NREL and DOE to incorporate resilience Indian Nation to define how a resilient community might look and develop a strategic energy plan. After

  19. Richard Truly Named Director of National Renewable Energy Laboratory

    Science.gov Websites

    , former National Aeronautics and Space Administration (NASA) Administrator, today was named Director of . Department of Energy (DOE). "As former head of NASA, Richard Truly brings a distinguished career of ;At NASA and Georgia Tech I have been involved in several of the nation's most exciting research

  20. Model Scaling of Hydrokinetic Ocean Renewable Energy Systems

    NASA Astrophysics Data System (ADS)

    von Ellenrieder, Karl; Valentine, William

    2013-11-01

    Numerical simulations are performed to validate a non-dimensional dynamic scaling procedure that can be applied to subsurface and deeply moored systems, such as hydrokinetic ocean renewable energy devices. The prototype systems are moored in water 400 m deep and include: subsurface spherical buoys moored in a shear current and excited by waves; an ocean current turbine excited by waves; and a deeply submerged spherical buoy in a shear current excited by strong current fluctuations. The corresponding model systems, which are scaled based on relative water depths of 10 m and 40 m, are also studied. For each case examined, the response of the model system closely matches the scaled response of the corresponding full-sized prototype system. The results suggest that laboratory-scale testing of complete ocean current renewable energy systems moored in a current is possible. This work was supported by the U.S. Southeast National Marine Renewable Energy Center (SNMREC).

  1. Federal roles to realize national energy-efficiency opportunities in the 1990s

    NASA Astrophysics Data System (ADS)

    Hirst, Eric

    1989-10-01

    Improving energy efficiency throughout the U.S. economy is a vital component of our nation's energy future, with many benefits. Improving efficiency can: save money consumers, increase economic productivity and international competitiveness, reduce oil and gas prices by reducing the demand for foreign oil, enhance national security by lowering oil imports, reduce the adverse environmental consequences of fuel cycles, especially acid rain and global warming, add diversity and flexibility to the nation's portfolio of energy resources, respond to public interest in, and support of, energy efficiency. The primary purpose of this report is to suggest expanded roles for the U.S. Department of Energy (DOE) in improving energy efficiency during the 1990s. In an ideal world, the normal workings of the market place would yield optimal energy-efficiency purchase and operating decisions. Unfortunately, distortions in fuel prices, limited access to capital, misplaced incentives, lack of information, and difficulty in processing information complicate energy-related decision making. Thus, consumers in all sectors of the economy underinvest in energy-efficient systems. These market barriers, coupled with growing concern about environmental quality, justify a larger Federal role.

  2. A Feasibility Study to Evaluate Wind Energy Potential on the Navajo Nation

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

    Terry Battiest

    2012-11-30

    The project, A Feasibility Study to Evaluate Wind Energy Potential on the Navajo Nation, is funded under a solicitation issued by the U.S. Department of Energy Tribal Energy Program. Funding provided by the grant allowed the Navajo Nation to measure wind potential at two sites, one located within the boundaries of the Navajo Nation and the other off-reservation during the project period (September 5, 2005 - September 30, 2009). The recipient for the grant award is the Navajo Tribal Utility Authority (NTUA). The grant allowed the Navajo Nation and NTUA manage the wind feasibility from initial site selection through themore » decision-making process to commit to a site for wind generation development. The grant activities help to develop human capacity at NTUA and help NTUA to engage in renewable energy generation activities, including not only wind but also solar and biomass. The final report also includes information about development activities regarding the sited included in the grant-funded feasibility study.« less

  3. Creating a national citizen engagement process for energy policy

    PubMed Central

    Pidgeon, Nick; Demski, Christina; Butler, Catherine; Parkhill, Karen; Spence, Alexa

    2014-01-01

    This paper examines some of the science communication challenges involved when designing and conducting public deliberation processes on issues of national importance. We take as our illustrative case study a recent research project investigating public values and attitudes toward future energy system change for the United Kingdom. National-level issues such as this are often particularly difficult to engage the public with because of their inherent complexity, derived from multiple interconnected elements and policy frames, extended scales of analysis, and different manifestations of uncertainty. With reference to the energy system project, we discuss ways of meeting a series of science communication challenges arising when engaging the public with national topics, including the need to articulate systems thinking and problem scale, to provide balanced information and policy framings in ways that open up spaces for reflection and deliberation, and the need for varied methods of facilitation and data synthesis that permit access to participants’ broader values. Although resource intensive, national-level deliberation is possible and can produce useful insights both for participants and for science policy. PMID:25225393

  4. Creating a national citizen engagement process for energy policy.

    PubMed

    Pidgeon, Nick; Demski, Christina; Butler, Catherine; Parkhill, Karen; Spence, Alexa

    2014-09-16

    This paper examines some of the science communication challenges involved when designing and conducting public deliberation processes on issues of national importance. We take as our illustrative case study a recent research project investigating public values and attitudes toward future energy system change for the United Kingdom. National-level issues such as this are often particularly difficult to engage the public with because of their inherent complexity, derived from multiple interconnected elements and policy frames, extended scales of analysis, and different manifestations of uncertainty. With reference to the energy system project, we discuss ways of meeting a series of science communication challenges arising when engaging the public with national topics, including the need to articulate systems thinking and problem scale, to provide balanced information and policy framings in ways that open up spaces for reflection and deliberation, and the need for varied methods of facilitation and data synthesis that permit access to participants' broader values. Although resource intensive, national-level deliberation is possible and can produce useful insights both for participants and for science policy.

  5. Species data: National inventory of range maps and distribution models

    USGS Publications Warehouse

    Gergely, Kevin J.; McKerrow, Alexa

    2013-01-01

    The Gap Analysis Program (GAP) produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The GAP species data includes vertebrate range maps and distribution models for the continental United States, as well as Alaska, Hawaii, Puerto Rico, and U.S. Virgin Islands. The vertebrate species include amphibians, birds, mammals, and reptiles. Furthermore, data used to create the distribution models (for example, percent canopy cover, elevation, and so forth) also are available.

  6. Accelerated Climate Modeling for Energy (ACME) Final Scientific/Technical Report

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

    Chaudhary, Aashish

    Seven Department of Energy (DOE) national laboratories, Universities, and Kitware, undertook a coordinated effort to build an Earth system modeling capability tailored to meet the climate change research strategic objectives of the DOE Office of Science, as well as the broader climate change application needs of other DOE programs.

  7. Directory of Energy Information Administration model abstracts

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

    Not Available

    1987-08-11

    This report contains brief statements from the model managers about each model's title, acronym, purpose, and status, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. All models ''active'' through March 1987 are included. The main body of this directory is an alphabetical list of all active EIA models. Appendix A identifies major EIA modeling systems and the models within these systems, and Appendix B identifies active EIA models by type (basic, auxiliary, and developing). A basic model is one designated by the EIA Administrator as being sufficiently important to require sustained supportmore » and public scrutiny. An auxiliary model is one designated by the EIA Administrator as being used only occasionally in analyses, and therefore requires minimal levels of documentation. A developing model is one designated by the EIA Administrator as being under development and yet of sufficient interest to require a basic level of documentation at a future date. EIA also leases models developed by proprietary software vendors. Documentation for these ''proprietary'' models is the responsibility of the companies from which they are leased. EIA has recently leased models from Chase Econometrics, Inc., Data Resources, Inc. (DRI), the Oak Ridge National Laboratory (ORNL), and Wharton Econometric Forecasting Associates (WEFA). Leased models are not abstracted here. The directory is intended for the use of energy and energy-policy analysts in the public and private sectors.« less

  8. EnergySmart Schools National Financing Roundtable II—Key Outcomes

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

    None

    2009-11-01

    As a follow-up to the release of its Guide to Financing EnergySmart Schools, the the National Financing Roundtable brought together individuals with diverse knowledge of school building programs and projects to discuss financing issues and options that build upon those described in the first Guide to Financing EnergySmart Schools.

  9. Assessing National Employment Impacts of Investment in Residential and Commercial Sector Energy Efficiency: Review and Example Analysis

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

    Anderson, David M.; Belzer, David B.; Livingston, Olga V.

    Pacific Northwest National Laboratory (PNNL) modeled the employment impacts of a major national initiative to accelerate energy efficiency trends at one of two levels: • 15 percent savings by 2030. In this scenario, efficiency activities save about 15 percent of the Annual Energy Outlook (AEO) Reference Case electricity consumption by 2030. It is assumed that additional energy savings in both the residential and commercial sectors begin in 2015 at zero, and then increase in an S-shaped market penetration curve, with the level of savings equal to about 7.0 percent of the AEO 2014 U.S. national residential and commercial electricity consumptionmore » saved by 2020, 14.8 percent by 2025, and 15 percent by 2030. • 10 percent savings by 2030. In this scenario, additional savings begin at zero in 2015, increase to 3.8 percent in 2020, 9.8 percent by 2025, and 10 percent of the AEO reference case value by 2030. The analysis of the 15 percent case indicates that by 2030 more than 300,000 new jobs would likely result from such policies, including an annual average of more than 60,000 jobs directly supporting the installation and maintenance of energy efficiency measures and practices. These are new jobs resulting initially from the investment associated with the construction of more energy-efficient new buildings or the retrofit of existing buildings and would be sustained for as long as the investment continues. Based on what is known about the current level of building-sector energy efficiency jobs, this would represent an increase of more than 10 percent from the current estimated level of over 450,000 such jobs. The more significant and longer-lasting effect comes from the redirection of energy bill savings toward the purchase of other goods and services in the general economy, with its attendant influence on increasing the total number of jobs. This example analysis utilized PNNL’s ImSET model, a modeling framework that PNNL has used over the past two decades

  10. Simple Model for Detonation Energy and Rate

    NASA Astrophysics Data System (ADS)

    Lauderbach, Lisa M.; Souers, P. Clark

    2017-06-01

    A simple model is used to derive the Eyring equation for the size effect and detonation rate, which depends on a constant energy density. The rate derived from detonation velocities is then converted into a rate constant to be used in a reactive flow model. The rate might be constant if the size effect curve is straight, but the rate constant will change with the radius of the sample and cannot be a constant. This is based on many careful cylinder tests have been run recently on LX-17 with inner copper diameters ranging from 12.7 to 101.6 mm. Copper wall velocities at scaled displacements of 6, 12.5 and 19 mm equate to values at relative volumes of 2.4, 4.4 and 7.0. At each point, the velocities from 25.4 to 101.6 mm are constant within error whereas the 12.7 mm velocities are lower. Using the updated Gurney model, the energy densities at the three larger sizes are also constant. Similar behavior has been seen in LX-14, LX-04, and an 83% RDX mix. A rough saturation has also been in old ANFO data for diameters of 101.6 mm and larger. Although the energy densities saturate, the detonation velocities continue to increase with size. These observations suggest that maximum energy density is a constant for a given explosive of a given density. The correlation of energy density with detonation velocity is not good because the latter depends on the total energy of the sample. This work performed under the auspices of the U. S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

  11. Energy Transition Initiative: Island Energy Snapshot - Trinidad and Tobago; NREL (National Renewable Energy Laboratory)

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

    None

    2015-05-20

    This profile provides a snapshot of the energy landscape of Trinidad and Tobago, a two-island nation located off the coast of Venezuela. Trinidad and Tobago’s electricity rates are some of the lowest in the Caribbean at approximately $0.04 per kilowatt-hour (kWh), well below the regional average of $0.33/kWh.

  12. NREL Analysis: Reimagining What's Possible for Clean Energy, Continuum Magazine, Summer 2015 / Issue 8; NREL (National Renewable Energy Laboratory)

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

    None

    This issue of Continuum Magazine covers the depth and breadth of NREL's ever-expanding analytical capabilities. For example, in one project we are leading national efforts to create a computer model of one of the most complex systems ever built. This system, the eastern part of the North American power grid, will likely host an increasing percentage of renewable energy in years to come. Understanding how this system will work is important to its success - and NREL analysis is playing a major role. We are also identifying the connections among energy, the environment and the economy through analysis that willmore » point us toward a 'water smart' future.« less

  13. Bridging the Radiative Transfer Models for Meteorology and Solar Energy Applications

    NASA Astrophysics Data System (ADS)

    Xie, Y.; Sengupta, M.

    2017-12-01

    Radiative transfer models are used to compute solar radiation reaching the earth surface and play an important role in both meteorology and solar energy studies. Therefore, they are designed to meet the needs of specialized applications. For instance, radiative transfer models for meteorology seek to provide more accurate cloudy-sky radiation compared to models used in solar energy that are geared towards accuracy in clear-sky conditions associated with the maximum solar resource. However, models for solar energy applications are often computationally faster, as the complex solution of the radiative transfer equation is parameterized by atmospheric properties that can be acquired from surface- or satellite-based observations. This study introduces the National Renewable Energy Laboratory's (NREL's) recent efforts to combine the advantages of radiative transfer models designed for meteorology and solar energy applictions. A fast all-sky radiation model, FARMS-NIT, was developed to efficiently compute narrowband all-sky irradiances over inclined photovoltaic (PV) panels. This new model utilizes the optical preperties from a solar energy model, SMARTS, to computes surface radiation by considering all possible paths of photon transmission and the relevent scattering and absorption attenuation. For cloudy-sky conditions, cloud bidirectional transmittance functions (BTDFs) are provided by a precomputed lookup table (LUT) by LibRadtran. Our initial results indicate that FARMS-NIT has an accuracy that is similar to LibRadtran, a highly accurate multi-stream model, but is significantly more efficient. The development and validation of this model will be presented.

  14. Petroleum Market Model of the National Energy Modeling System

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

    NONE

    1997-01-01

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcoholsmore » and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.« less

  15. Powering America’s Economy: Energy Innovation at the Crossroads of National Security Challenges

    DTIC Science & Technology

    2010-07-01

    the United States? • How can DOD contribute to America’s eco - nomic and national security while addressing its own energy challenges? Our findings and...recommendations follow. Findings Finding 1: America’s energy choices are inextricably linked to national and eco - nomic security. America’s...tegic environment. By taking bold leadership actions now, the nation can turn the growing energy and eco - nomic challenges into great opportunity

  16. Wind Integration National Dataset (WIND) Toolkit; NREL (National Renewable Energy Laboratory)

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

    Draxl, Caroline; Hodge, Bri-Mathias

    A webinar about the Wind Integration National Dataset (WIND) Toolkit was presented by Bri-Mathias Hodge and Caroline Draxl on July 14, 2015. It was hosted by the Southern Alliance for Clean Energy. The toolkit is a grid integration data set that contains meteorological and power data at a 5-minute resolution across the continental United States for 7 years and hourly power forecasts.

  17. Modeling, simulation, and analysis at Sandia National Laboratories for health care systems

    NASA Astrophysics Data System (ADS)

    Polito, Joseph

    1994-12-01

    Modeling, Simulation, and Analysis are special competencies of the Department of Energy (DOE) National Laboratories which have been developed and refined through years of national defense work. Today, many of these skills are being applied to the problem of understanding the performance of medical devices and treatments. At Sandia National Laboratories we are developing models at all three levels of health care delivery: (1) phenomenology models for Observation and Test, (2) model-based outcomes simulations for Diagnosis and Prescription, and (3) model-based design and control simulations for the Administration of Treatment. A sampling of specific applications include non-invasive sensors for blood glucose, ultrasonic scanning for development of prosthetics, automated breast cancer diagnosis, laser burn debridement, surgical staple deformation, minimally invasive control for administration of a photodynamic drug, and human-friendly decision support aids for computer-aided diagnosis. These and other projects are being performed at Sandia with support from the DOE and in cooperation with medical research centers and private companies. Our objective is to leverage government engineering, modeling, and simulation skills with the biotechnical expertise of the health care community to create a more knowledge-rich environment for decision making and treatment.

  18. Three Essays on National Oil Company Efficiency, Energy Demand and Transportation

    NASA Astrophysics Data System (ADS)

    Eller, Stacy L.

    This dissertation is composed of three separate essays in the field of energy economics. In the first paper, both data envelopment analysis and stochastic production frontier estimation are employed to provide empirical evidence on the revenue efficiency of national oil companies (NOCs) and private international oil companies (IOCs). Using a panel of 80 oil producing firms, the analysis suggests that NOCs are generally less efficient at generating revenue from a given resource base than IOCs, with some exceptions. Due to differing firm objectives, however, structural and institutional features may help explain much of the inefficiency. The second paper analyzes the relationship between economic development and the demand for energy. Energy consumption is modeled using panel data from 1990 to 2004 for 50 countries spanning all levels of development. We find the relationship between energy consumption and economic development corresponds to the structure of aggregate output and the nature of derived demand for electricity and direct-use fuels in each sector. Notably, the evidence of non-constant income elasticity of demand is much greater for electricity demand than for direct-use fuel consumption. In addition, we show that during periods of rapid economic development, one in which the short-term growth rate exceeds the long-run average, an increase in aggregate output is met by less energy-efficient capital. This is a result of capital being fixed in the short-term. As additional, more efficient capital stock is added to the production process, the short-term increase in energy intensity will diminish. In the third essay, we develop a system of equations to estimate a model of motor vehicle fuel consumption, vehicle miles traveled and implied fuel efficiency for the 67 counties of the State of Florida from 2001 to 2008. This procedure allows us to decompose the factors of fuel demand into elasticities of vehicle driving demand and fuel efficiency. Particular

  19. Quantitative and theoretical analysis of the joint Department of Energy-National Institute of Standards and Technology Energy-Related Inventions Program from 1975 to 1995: Implications for development of public policy toward innovation

    NASA Astrophysics Data System (ADS)

    Pevenstein, Jack Edward

    This dissertation presents 18 alternative models for computing the social rate of return (SRR) of the joint Department of Energy (DOE)-National Institute of Standards and Technology (NIST) Energy-Related Inventions Program (ERIP) from 1975 to 1995. The models differ on the on the choice of societal benefit, adjustments made to the benefits, accounting for initial investments in ERIP and annual program appropriations. Alternative quantitative measures of societal benefit include annual gross market sales of successfully commercialized ERIP-supported inventions, annual energy savings resulting from the use of such inventions, pollution-remediation cost reductions due to decreased carbon emissions from greenhouse gases associated with more efficient energy generation. SRR computation employs the net present value (NPV) model with the SRR being the discount rate that reduces the NPV of a stream of societal benefits to zero over a period of n years given an initial investment and annual program appropriations. The SRR is the total rate of return to the nation from public investment in ERIP. The data used for computation were assembled by Dr. Marilyn A. Brown and her staff at Oak Ridge National Laboratory under contract to DOE since 1985. Other data on energy use and carbon emission from greenhouse gas production come from official publications of DOE's Energy Information Administration. Mean ERIP SRR = 412.7% with standard deviation = +/-426.5%. The population of the SRR sample is accepted as normally distributed at an alpha = 0.05, using the Kolmogorov-Smirnov test. These SRR's, which appear reasonable in comparison with those computed by Professor Edwin Mansfield, (Wharton School) for inventions and by Dr. Gregory Tassey (NIST Chief Economist) for NIST programs supporting innovations in measurement technology, show a significant underinvestment in public service technology innovation evaluation programs for independent inventors and small technology

  20. Development of Residential Prototype Building Models and Analysis System for Large-Scale Energy Efficiency Studies Using EnergyPlus

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

    Mendon, Vrushali V.; Taylor, Zachary T.

    ABSTRACT: Recent advances in residential building energy efficiency and codes have resulted in increased interest in detailed residential building energy models using the latest energy simulation software. One of the challenges of developing residential building models to characterize new residential building stock is to allow for flexibility to address variability in house features like geometry, configuration, HVAC systems etc. Researchers solved this problem in a novel way by creating a simulation structure capable of creating fully-functional EnergyPlus batch runs using a completely scalable residential EnergyPlus template system. This system was used to create a set of thirty-two residential prototype buildingmore » models covering single- and multifamily buildings, four common foundation types and four common heating system types found in the United States (US). A weighting scheme with detailed state-wise and national weighting factors was designed to supplement the residential prototype models. The complete set is designed to represent a majority of new residential construction stock. The entire structure consists of a system of utility programs developed around the core EnergyPlus simulation engine to automate the creation and management of large-scale simulation studies with minimal human effort. The simulation structure and the residential prototype building models have been used for numerous large-scale studies, one of which is briefly discussed in this paper.« less

  1. Utilization of Renewable Energy to Meet New National Challenges in Energy and Climate Change

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

    Momoh, James A.

    The project aims to design a microgrid system to promote utilization of renewable energy resources such as wind and solar to address the national challenges in energy and climate change. Different optimization techniques and simulation software are used to study the performance of the renewable energy system under study. A series of research works performed under the grant Department of Energy (DOE) is presented. This grant opportunity affords Howard faculty, students, graduates, undergraduates, K-12, postdocs and visiting scholars to benefit state of the art research work. The research work has led to improve or advance understanding of new hardware technologies,more » software development and engineering optimization methods necessary and sufficient for handling probabilistic models and real-time computation and functions necessary for development of microgrid system. Consistent with State of Project Objective Howard University has partitioned the task into the following integrated activities: 1. Stochastic Model for RER and Load • Development of modeling Renewable Energy Resources (RER) and load which is used to perform distribution power flow study which leads to publication in refereed journals and conferences. The work was also published at the IEEE conference. 2. Stochastic optimization for voltage/Var • The development of voltage VAr optimization based on a review of existing knowledge in optimization led to the use of stochastic program and evolution of programming optimization method for V/VAr optimization. Papers were presented at the North America Power Systems Conference and the IEEE PES general meeting. 3. Modeling RER and Storage • Extending the concept of optimization method an RER with storage, such as the development of microgrid V/VAr and storage is performed. Several papers were published at the North America Power Systems Conference and the IEEE PES general meeting. 4. Power Game • Development of power game experiment using Labvolt to

  2. Yakama Nation Renewable Energy Plan

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

    Rigdon, Phillip

    2016-05-10

    It is the intention of the Yakama Nation to make improvements on the Wapato Irrigation Project (WIP) for the benefit of all stakeholders. Water management, water conservation and water allocation on the Wapato Irrigation Project is equally as important as hydropower. Irrigation will always be the primary purpose of this water system, but the irrigation system can also generate energy. The purpose of this project is the purchase and installation of inflow water turbines to generate an additional one megawatt of hydro-electrical power. The project will occur in two phases, Environmental Assessment and Project Implementation. The core objective for thismore » proposal is to meet the Yakama Nation’s goal in hydroelectric power development. This will include the installation of inflow water turbines on the Wapato Irrigation Project. The Yakama Nation will prepare an Environmental Assessment in preparation to purchase and install new water turbines for hydropower generation of 1 Megawatt. This is a valuable economic development strategy for Yakama Nation that will create new jobs, improve and increase rural electrification, and attract private investments. This water system has an untapped low head/low power potential without the need to construct a new dam. The objective of Phase 1 is to complete an environmental assessment and obtain approval to proceed with installation of the hydroelectric power system.« less

  3. National Energy Audit Tool for Multifamily Buildings Development Plan

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

    Malhotra, Mini; MacDonald, Michael; Accawi, Gina K

    The U.S. Department of Energy's (DOE's) Weatherization Assistance Program (WAP) enables low-income families to reduce their energy costs by providing funds to make their homes more energy efficient. In addition, the program funds Weatherization Training and Technical Assistance (T and TA) activities to support a range of program operations. These activities include measuring and documenting performance, monitoring programs, promoting advanced techniques and collaborations to further improve program effectiveness, and training, including developing tools and information resources. The T and TA plan outlines the tasks, activities, and milestones to support the weatherization network with the program implementation ramp up efforts. Weatherizationmore » of multifamily buildings has been recognized as an effective way to ramp up weatherization efforts. To support this effort, the 2009 National Weatherization T and TA plan includes the task of expanding the functionality of the Weatherization Assistant, a DOE-sponsored family of energy audit computer programs, to perform audits for large and small multifamily buildings This report describes the planning effort for a new multifamily energy audit tool for DOE's WAP. The functionality of the Weatherization Assistant is being expanded to also perform energy audits of small multifamily and large multifamily buildings. The process covers an assessment of needs that includes input from national experts during two national Web conferences. The assessment of needs is then translated into capability and performance descriptions for the proposed new multifamily energy audit, with some description of what might or should be provided in the new tool. The assessment of needs is combined with our best judgment to lay out a strategy for development of the multifamily tool that proceeds in stages, with features of an initial tool (version 1) and a more capable version 2 handled with currently available resources. Additional development

  4. Energy 101: Energy Efficient Commercial Buildings

    ScienceCinema

    None

    2018-06-06

    Learn how commercial buildings can incorporate whole-building design to save energy and money while enhancing performance and comfort. This video highlights several energy-saving features of the Research Support Facility at the Energy Department's National Renewable Energy Laboratory-a model for high-performance office building design.

  5. The trends in total energy, macronutrients and sodium intake among Japanese: findings from the 1995-2016 National Health and Nutrition Survey.

    PubMed

    Saito, Aki; Imai, Shino; Htun, Nay Chi; Okada, Emiko; Yoshita, Katsushi; Yoshiike, Nobuo; Takimoto, Hidemi

    2018-06-04

    Monitoring nutritional status of the population is essential in the development and evaluation of national or local health policies. In this study, we aimed to demonstrate analysis on the trends in dietary intake of energy and macronutrients, as well as Na, in Japanese population using the data of series of cross-sectional national surveys - the National Nutrition Survey (NNS) and the National Health Nutrition Survey (NHNS) - during the period from 1995 to 2016. The NNS and NHNS participants aged 20-79 years were included in the analysis. Dietary intake was estimated using 1-d household-based dietary record. The trend in total energy intake, energy intake from macronutrients (fat and protein), Na intake and energy-adjusted Na intake were analysed using regression models adjusted to 2010 age distribution and anthropometry status. A total of 94 270 men and 107 890 women were included the analysis. Total energy intake showed a decreasing trend in both men and women. Similarly, energy intake from protein decreased, but energy intake (%) from fat increased in both sexes. Energy-adjusted Na intake showed a decreasing trend in both men and women. This study identified the decrease in total energy intake and energy intake from protein, whereas there were inverse trends in energy intake from fat among Japanese adults. Continued monitoring of trends in dietary intake will be needed, and there should be efforts to increase the accuracy of current survey procedures.

  6. Largest Ever Wind Power Commitments Sets Clean Energy Example for Nation

    Science.gov Websites

    'Largest Ever' Wind Power Commitments Sets Clean Energy Example for Nation NEWS MEDIA CONTACTS ;Federal agencies in Colorado are setting an example for the rest of the nation and the leaders of business

  7. The isotropic local Wigner-Seitz model: An accurate theoretical model for the quasi-free electron energy in fluids

    NASA Astrophysics Data System (ADS)

    Evans, Cherice; Findley, Gary L.

    The quasi-free electron energy V0 (ρ) is important in understanding electron transport through a fluid, as well as for modeling electron attachment reactions in fluids. Our group has developed an isotropic local Wigner-Seitz model that allows one to successfully calculate the quasi-free electron energy for a variety of atomic and molecular fluids from low density to the density of the triple point liquid with only a single adjustable parameter. This model, when coupled with the quasi-free electron energy data and the thermodynamic data for the fluids, also can yield optimized intermolecular potential parameters and the zero kinetic energy electron scattering length. In this poster, we give a review of the isotropic local Wigner-Seitz model in comparison to previous theoretical models for the quasi-free electron energy. All measurements were performed at the University of Wisconsin Synchrotron Radiation Center. This work was supported by a Grants from the National Science Foundation (NSF CHE-0956719), the Petroleum Research Fund (45728-B6 and 5-24880), the Louisiana Board of Regents Support Fund (LEQSF(2006-09)-RD-A33), and the Professional Staff Congress City University of New York.

  8. The pressing energy innovation challenge of the US National Laboratories

    NASA Astrophysics Data System (ADS)

    Anadon, Laura Diaz; Chan, Gabriel; Bin-Nun, Amitai Y.; Narayanamurti, Venkatesh

    2016-10-01

    Accelerating the development and deployment of energy technologies is a pressing challenge. Doing so will require policy reform that improves the efficacy of public research organizations and strengthens the links between public and private innovators. With their US$14 billion annual budget and unique mandates, the US National Laboratories have the potential to critically advance energy innovation, yet reviews of their performance find several areas of weak organizational design. Here, we discuss the challenges the National Laboratories face in engaging the private sector, increasing their contributions to transformative research, and developing culture and management practices to better support innovation. We also offer recommendations for how policymakers can address these challenges.

  9. Energy technologies at Sandia National Laboratories: Past, Present, Future

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

    Not Available

    1989-08-01

    We at Sandia first became involved with developing energy technology when the nation initiated its push toward energy independence in the early 1970s. That involvement continues to be strong. In shaping Sandia's energy programs for the 1990s, we will build on our track record from the 70s and 80s, a record outlined in this publication. It contains reprints of three issues of Sandia's Lab News that were devoted to our non-nuclear energy programs. Together, they summarize the history, current activities, and future of Sandia's diverse energy concerns; hence my desire to see them in one volume. Written in the fallmore » of 1988, the articles cover Sandia's extremely broad range of energy technologies -- coal, oil and gas, geothermal, solar thermal, photovoltaics, wind, rechargeable batteries, and combustion.« less

  10. 10 CFR 431.20 - Department of Energy recognition of nationally recognized certification programs.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... certification programs. 431.20 Section 431.20 Energy DEPARTMENT OF ENERGY ENERGY CONSERVATION ENERGY EFFICIENCY... Incorporated and Methods of Determining Efficiency § 431.20 Department of Energy recognition of nationally... similar procedures and methodologies for determining the energy efficiency of electric motors. It must...

  11. The NEED (National Energy Education Development) Project

    NASA Astrophysics Data System (ADS)

    Hogan, D.; Spruill, M.

    2012-04-01

    The NEED (National Energy Education Development) Project is a non-profit organization which provides a wide range of K-12 curriculum on energy education topics. The curriculum is specific for primary, elementary, intermediate and secondary levels with age appropriate activities and reading levels. The NEED Project covers a wide range of topics from wind energy, nuclear energy, solar energy, hydropower, hydrogen, fossil fuels, energy conservation, energy efficiency and much more. One of the major strengths of this organization is its Teacher Advisory Board. The curriculum is routinely revised and updated by master classroom teachers who use the lessons and serve on the advisory board. This ensures it is of the highest quality and a useful resource. The NEED Project through a variety of sponsors including businesses, utility companies and government agencies conducts hundreds of teacher professional development workshops each year throughout the United States and have even done some workshops internationally. These workshops are run by trained NEED facilitators. At the workshops, teachers gain background understanding of the energy topics and have time to complete the hands on activities which make up the curriculum. The teachers are then sent a kit of equipment after successfully completing the workshop. This allows them to teach the curriculum and have their students perform the hands on labs and activities in the classroom. The NEED Project is the largest provider of energy education related curriculum in the United States. Their efforts are educating teachers about energy topics and in turn educating students in the hope of developing citizens who are energy literate. Many of the hands on activities used to teach about various energy sources will be described and demonstrated.

  12. About Regional Energy Deployment System Model-ReEDS | Regional Energy

    Science.gov Websites

    Deployment System Model | Energy Analysis | NREL About Regional Energy Deployment System Model -ReEDS About Regional Energy Deployment System Model-ReEDS The Regional Energy Deployment System (ReEDS ) is a long-term, capacity-expansion model for the deployment of electric power generation technologies

  13. Data Management System for the National Energy-Water System (NEWS) Assessment Framework

    NASA Astrophysics Data System (ADS)

    Corsi, F.; Prousevitch, A.; Glidden, S.; Piasecki, M.; Celicourt, P.; Miara, A.; Fekete, B. M.; Vorosmarty, C. J.; Macknick, J.; Cohen, S. M.

    2015-12-01

    Aiming at providing a comprehensive assessment of the water-energy nexus, the National Energy-Water System (NEWS) project requires the integration of data to support a modeling framework that links climate, hydrological, power production, transmission, and economical models. Large amounts of Georeferenced data has to be streamed to the components of the inter-disciplinary model to explore future challenges and tradeoffs in the US power production, based on climate scenarios, power plant locations and technologies, available water resources, ecosystem sustainability, and economic demand. We used open source and in-house build software components to build a system that addresses two major data challenges: On-the-fly re-projection, re-gridding, interpolation, extrapolation, nodata patching, merging, temporal and spatial aggregation, of static and time series datasets in virtually any file formats and file structures, and any geographic extent for the models I/O, directly at run time; Comprehensive data management based on metadata cataloguing and discovery in repositories utilizing the MAGIC Table (Manipulation and Geographic Inquiry Control database). This innovative concept allows models to access data on-the-fly by data ID, irrespective of file path, file structure, file format and regardless its GIS specifications. In addition, a web-based information and computational system is being developed to control the I/O of spatially distributed Earth system, climate, and hydrological, power grid, and economical data flow within the NEWS framework. The system allows scenario building, data exploration, visualization, querying, and manipulation any loaded gridded, point, and vector polygon dataset. The system has demonstrated its potential for applications in other fields of Earth science modeling, education, and outreach. Over time, this implementation of the system will provide near real-time assessment of various current and future scenarios of the water-energy nexus.

  14. NREL’s Controllable Grid Interface Saves Time and Resources, Improves Reliability of Renewable Energy Technologies; NREL (National Renewable Energy Laboratory)

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

    None

    The National Renewable Energy Laboratory's (NREL) controllable grid interface (CGI) test system at the National Wind Technology Center (NWTC) is one of two user facilities at NREL capable of testing and analyzing the integration of megawatt-scale renewable energy systems. The CGI specializes in testing of multimegawatt-scale wind and photovoltaic (PV) technologies as well as energy storage devices, transformers, control and protection equipment at medium-voltage levels, allowing the determination of the grid impacts of the tested technology.

  15. Model-Driven Energy Intelligence

    DTIC Science & Technology

    2015-03-01

    building information model ( BIM ) for operations...estimate of the potential impact on energy performance at Fort Jackson. 15. SUBJECT TERMS Building Information Modeling ( BIM ), Energy, ECMs, monitoring...dimensional AHU Air Handling Unit API Application Programming Interface BIM building information model BLCC Building Life Cycle Cost

  16. Improving the accuracy of energy baseline models for commercial buildings with occupancy data

    DOE PAGES

    Liang, Xin; Hong, Tianzhen; Shen, Geoffrey Qiping

    2016-07-07

    More than 80% of energy is consumed during operation phase of a building's life cycle, so energy efficiency retrofit for existing buildings is considered a promising way to reduce energy use in buildings. The investment strategies of retrofit depend on the ability to quantify energy savings by “measurement and verification” (M&V), which compares actual energy consumption to how much energy would have been used without retrofit (called the “baseline” of energy use). Although numerous models exist for predicting baseline of energy use, a critical limitation is that occupancy has not been included as a variable. However, occupancy rate is essentialmore » for energy consumption and was emphasized by previous studies. This study develops a new baseline model which is built upon the Lawrence Berkeley National Laboratory (LBNL) model but includes the use of building occupancy data. The study also proposes metrics to quantify the accuracy of prediction and the impacts of variables. However, the results show that including occupancy data does not significantly improve the accuracy of the baseline model, especially for HVAC load. The reasons are discussed further. In addition, sensitivity analysis is conducted to show the influence of parameters in baseline models. To conclude, the results from this study can help us understand the influence of occupancy on energy use, improve energy baseline prediction by including the occupancy factor, reduce risks of M&V and facilitate investment strategies of energy efficiency retrofit.« less

  17. 78 FR 63518 - Uranium Enrichment Fuel Cycle Inspection Reports Regarding Louisiana Energy Services, National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-24

    ... support safe operation of Autoclave 2 of the facility have been constructed in accordance with the... Inspection Reports Regarding Louisiana Energy Services, National Enrichment Facility, Eunice, New Mexico... Louisiana Energy Services (LES), LLC, National Enrichment Facility in Eunice, New Mexico, and has authorized...

  18. Two Energy Futures: A National Choice for the 80s.

    ERIC Educational Resources Information Center

    American Petroleum Inst., Washington, DC.

    In 1980, the American Petroleum Institute published the first edition of "Two Energy Futures." It described the U.S. energy experience of the 1970s and prospects for the 1980s, concluding that the nation could drastically reduce its dependence on uncertain sources of imported oil if the right choices were made by individuals and the…

  19. A Model for Education: Energy-Water Consumption Decision Making.

    ERIC Educational Resources Information Center

    Bontrager, Ralph L.; Hubbard, Charles W.

    Public schools are in a position to convince society-at-large of the national energy problem. There is a direct relationship between energy costs to the schools and the type of educational programs they can provide. While waiting for a national energy policy with a section devoted to schools, districts can calculate the amount and cost of energy…

  20. NATIONAL ENVIRONMENTAL/ENERGY WORKFORCE ASSESSMENT. COMPOSITE: ENVIRONMENTAL ENGINEERING/TECHNOLOGY

    EPA Science Inventory

    Beginning with Phase II of the National Environmental/Energy Workforce Assessment project, which addressed the capabilities of the educational community to generate an environmental workforce, definitional problems developed as to the placing of programs into media specific areas...

  1. The Community WRF-Hydro Modeling System Version 4 Updates: Merging Toward Capabilities of the National Water Model

    NASA Astrophysics Data System (ADS)

    McAllister, M.; Gochis, D.; Dugger, A. L.; Karsten, L. R.; McCreight, J. L.; Pan, L.; Rafieeinasab, A.; Read, L. K.; Sampson, K. M.; Yu, W.

    2017-12-01

    The community WRF-Hydro modeling system is publicly available and provides researchers and operational forecasters a flexible and extensible capability for performing multi-scale, multi-physics options for hydrologic modeling that can be run independent or fully-interactive with the WRF atmospheric model. The core WRF-Hydro physics model contains very high-resolution descriptions of terrestrial hydrologic process representations such as land-atmosphere exchanges of energy and moisture, snowpack evolution, infiltration, terrain routing, channel routing, basic reservoir representation and hydrologic data assimilation. Complementing the core physics components of WRF-Hydro are an ecosystem of pre- and post-processing tools that facilitate the preparation of terrain and meteorological input data, an open-source hydrologic model evaluation toolset (Rwrfhydro), hydrologic data assimilation capabilities with DART and advanced model visualization capabilities. The National Center for Atmospheric Research (NCAR), through collaborative support from the National Science Foundation and other funding partners, provides community support for the entire WRF-Hydro system through a variety of mechanisms. This presentation summarizes the enhanced user support capabilities that are being developed for the community WRF-Hydro modeling system. These products and services include a new website, open-source code repositories, documentation and user guides, test cases, online training materials, live, hands-on training sessions, an email list serve, and individual user support via email through a new help desk ticketing system. The WRF-Hydro modeling system and supporting tools which now include re-gridding scripts and model calibration have recently been updated to Version 4 and are merging toward capabilities of the National Water Model.

  2. Energy Secretary Rick Perry Visits Oak Ridge National Laboratory

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

    None

    Energy Secretary Rick Perry visited Oak Ridge National Laboratory on May 22, 2017. During his visit, the secretary not only toured the lab's premier research facilities, but also had some fun with two of its 3D-printed vehicles.

  3. The Model United Nations in Brief.

    ERIC Educational Resources Information Center

    Muldoon, James P., Jr.

    Over 60,000 secondary school and college students participate annually in the Model United Nations (UN) simulations in order to learn the complexities of international politics and to increase their understanding of other nations and cultural perspectives. This paper provides a broad overview of the Model UN program and its role in global…

  4. Phase field modeling of crack propagations in fluid-saturated porous media with anisotropic surface energy

    NASA Astrophysics Data System (ADS)

    Na, S.; Sun, W.; Yoon, H.; Choo, J.

    2016-12-01

    Directional mechanical properties of layered geomaterials such as shale are important on evaluating the onset and growth of fracture for engineering applications such as hydraulic fracturing, geologic carbon storage, and geothermal recovery. In this study, a continuum phase field modeling is conducted to demonstrate the initiation and pattern of cracks in fluid-saturated porous media. The discontinuity of sharp cracks is formulated using diffusive crack phase field modeling and the anisotropic surface energy is incorporated to account for the directional fracture toughness. In particular, the orientation of bedding in geomaterials with respect to the loading direction is represented by the directional critical energy release rate. Interactions between solid skeleton and fluid are also included to analyze the mechanical behavior of fluid-saturated geologic materials through the coupled hydro-mechanical model. Based on the linear elastic phase field modeling, we also addressed how the plasticity in crack phase field influences the crack patterns by adopting the elasto-plastic model with Drucker-Prager yield criterion. Numerical examples exhibit the features of anisotropic surface energy, the interactions between solid and fluid and the effects of plasticity on crack propagations.Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  5. Applications of GARCH models to energy commodities

    NASA Astrophysics Data System (ADS)

    Humphreys, H. Brett

    This thesis uses GARCH methods to examine different aspects of the energy markets. The first part of the thesis examines seasonality in the variance. This study modifies the standard univariate GARCH models to test for seasonal components in both the constant and the persistence in natural gas, heating oil and soybeans. These commodities exhibit seasonal price movements and, therefore, may exhibit seasonal variances. In addition, the heating oil model is tested for a structural change in variance during the Gulf War. The results indicate the presence of an annual seasonal component in the persistence for all commodities. Out-of-sample volatility forecasting for natural gas outperforms standard forecasts. The second part of this thesis uses a multivariate GARCH model to examine volatility spillovers within the crude oil forward curve and between the London and New York crude oil futures markets. Using these results the effect of spillovers on dynamic hedging is examined. In addition, this research examines cointegration within the oil markets using investable returns rather than fixed prices. The results indicate the presence of strong volatility spillovers between both markets, weak spillovers from the front of the forward curve to the rest of the curve, and cointegration between the long term oil price on the two markets. The spillover dynamic hedge models lead to a marginal benefit in terms of variance reduction, but a substantial decrease in the variability of the dynamic hedge; thereby decreasing the transactions costs associated with the hedge. The final portion of the thesis uses portfolio theory to demonstrate how the energy mix consumed in the United States could be chosen given a national goal to reduce the risks to the domestic macroeconomy of unanticipated energy price shocks. An efficient portfolio frontier of U.S. energy consumption is constructed using a covariance matrix estimated with GARCH models. The results indicate that while the electric

  6. Stories about ourselves: How national narratives influence the diffusion of large-scale energy technologies

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

    Malone, Elizabeth L.; Hultman, Nathan E.; Anderson, Kate

    Examining past examples of rapid, transformational changes in energy technologies could help governments understand the factors associated with such transitions. We used an existing dataset to assess government strategies to connect new energy technologies with national narratives. Analyzing the diffusion stories told by experts, we demonstrate how governments connected the new technologies with their national narratives. The United States government supported the development of nuclear power after World War II with the national narrative that the United States was destined to improve creation, increasing the potential of raw materials exponentially for the nation’s good (“atoms for peace,” electricity “too cheapmore » to meter”). In Brazil, the development of sugar cane ethanol was supported by the government’s invoking the national narrative of suffering leading to knowledge and redemption, coupled with the quest for improved societal well-being (technological development to produce ethanol and employment for farmers). In Sweden, biomass energy was tied to the national narrative of local control, as well as love of nature and tradition (the use of natural products). We found strong evidence that the pairing of technological transformations with national narratives facilitated the successful development and implementation of these major energy technologies in the three cases analyzed here.« less

  7. Stories about ourselves: How national narratives influence the diffusion of large-scale energy technologies

    DOE PAGES

    Malone, Elizabeth L.; Hultman, Nathan E.; Anderson, Kate; ...

    2017-07-03

    Examining past examples of rapid, transformational changes in energy technologies could help governments understand the factors associated with such transitions. We used an existing dataset to assess government strategies to connect new energy technologies with national narratives. Analyzing the diffusion stories told by experts, we demonstrate how governments connected the new technologies with their national narratives. The United States government supported the development of nuclear power after World War II with the national narrative that the United States was destined to improve creation, increasing the potential of raw materials exponentially for the nation’s good (“atoms for peace,” electricity “too cheapmore » to meter”). In Brazil, the development of sugar cane ethanol was supported by the government’s invoking the national narrative of suffering leading to knowledge and redemption, coupled with the quest for improved societal well-being (technological development to produce ethanol and employment for farmers). In Sweden, biomass energy was tied to the national narrative of local control, as well as love of nature and tradition (the use of natural products). We found strong evidence that the pairing of technological transformations with national narratives facilitated the successful development and implementation of these major energy technologies in the three cases analyzed here.« less

  8. Analysis of the interrelationship of energy, economy, and environment: A model of a sustainable energy future for Korea

    NASA Astrophysics Data System (ADS)

    Boo, Kyung-Jin

    The primary purpose of this dissertation is to provide the groundwork for a sustainable energy future in Korea. For this purpose, a conceptual framework of sustainable energy development was developed to provide a deeper understanding of interrelationships between energy, the economy, and the environment (E 3). Based on this theoretical work, an empirical simulation model was developed to investigate the ways in which E3 interact. This dissertation attempts to develop a unified concept of sustainable energy development by surveying multiple efforts to integrate various definitions of sustainability. Sustainable energy development should be built on the basis of three principles: ecological carrying capacity, economic efficiency, and socio-political equity. Ecological carrying capacity delineates the earth's resource constraints as well as its ability to assimilate wastes. Socio-political equity implies an equitable distribution of the benefits and costs of energy consumption and an equitable distribution of environmental burdens. Economic efficiency dictates efficient allocation of scarce resources. The simulation model is composed of three modules: an energy module, an environmental module and an economic module. Because the model is grounded on economic structural behaviorism, the dynamic nature of the current economy is effectively depicted and simulated through manipulating exogenous policy variables. This macro-economic model is used to simulate six major policy intervention scenarios. Major findings from these policy simulations were: (1) carbon taxes are the most effective means of reducing air-pollutant emissions; (2) sustainable energy development can be achieved through reinvestment of carbon taxes into energy efficiency and renewable energy programs; and (3) carbon taxes would increase a nation's welfare if reinvested in relevant areas. The policy simulation model, because it is based on neoclassical economics, has limitations such that it cannot fully

  9. Evaluation of alternative future energy scenarios for Brazil using an energy mix model

    NASA Astrophysics Data System (ADS)

    Coelho, Maysa Joppert

    The purpose of this study is to model and assess the performance and the emissions impacts of electric energy technologies in Brazil, based on selected economic scenarios, for a time frame of 40 years, taking the year of 1995 as a base year. A Base scenario has been developed, for each of three economic development projections, based upon a sectoral analysis. Data regarding the characteristics of over 300 end-use technologies and 400 energy conversion technologies have been collected. The stand-alone MARKAL technology-based energy-mix model, first developed at Brookhaven National Laboratory, was applied to a base case study and five alternative case studies, for each economic scenario. The alternative case studies are: (1) minimum increase in the thermoelectric contribution to the power production system of 20 percent after 2010; (2) extreme values for crude oil price; (3) minimum increase in the renewable technologies contribution to the power production system of 20 percent after 2010; (4) uncertainty on the cost of future renewable conversion technologies; and (5) model is forced to use the natural gas plants committed to be built in the country. Results such as the distribution of fuel used for power generation, electricity demand across economy sectors, total CO2 emissions from burning fossil fuels for power generation, shadow price (marginal cost) of technologies, and others, are evaluated and compared to the Base scenarios previous established. Among some key findings regarding the Brazilian energy system it may be inferred that: (1) diesel technologies are estimated to be the most cost-effective thermal technology in the country; (2) wind technology is estimated to be the most cost-effective technology to be used when a minimum share of renewables is imposed to the system; and (3) hydroelectric technologies present the highest cost/benefit relation among all conversion technologies considered. These results are subject to the limitations of key input

  10. National Water Model: Providing the Nation with Actionable Water Intelligence

    NASA Astrophysics Data System (ADS)

    Aggett, G. R.; Bates, B.

    2017-12-01

    The National Water Model (NWM) provides national, street-level detail of water movement through time and space. Operating hourly, this flood of information offers enormous benefits in the form of water resource management, natural disaster preparedness, and the protection of life and property. The Geo-Intelligence Division at the NOAA National Water Center supplies forecasters and decision-makers with timely, actionable water intelligence through the processing of billions of NWM data points every hour. These datasets include current streamflow estimates, short and medium range streamflow forecasts, and many other ancillary datasets. The sheer amount of NWM data produced yields a dataset too large to allow for direct human comprehension. As such, it is necessary to undergo model data post-processing, filtering, and data ingestion by visualization web apps that make use of cartographic techniques to bring attention to the areas of highest urgency. This poster illustrates NWM output post-processing and cartographic visualization techniques being developed and employed by the Geo-Intelligence Division at the NOAA National Water Center to provide national actionable water intelligence.

  11. Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook

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

    Zheng, Nina; Zhou, Nan; Fridley, David

    The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specificmore » section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings

  12. Quantifying Co-benefits of Renewable Energy through Integrated Electricity and Air Quality Modeling

    NASA Astrophysics Data System (ADS)

    Abel, D.

    2016-12-01

    This work focuses on the coordination of electricity sector changes with air quality and health improvement strategies through the integration of electricity and air quality models. Two energy models are used to calculate emission perturbations associated with changes in generation technology (20% generation from solar photovoltaics) and demand (future electricity use under a warmer climate). Impacts from increased solar PV penetration are simulated with the electricity model GridView, in collaboration with the National Renewable Energy Laboratory (NREL). Generation results are used to scale power plant emissions from an inventory developed by the Lake Michigan Air Directors Consortium (LADCO). Perturbed emissions and are used to calculate secondary particulate matter with the Community Multiscale Air Quality (CMAQ) model. We find that electricity NOx and SO2 emissions decrease at a rate similar to the total fraction of electricity supplied by solar. Across the Eastern U.S. region, average PM2.5 is reduced 5% over the summer, with highest reduction in regions and on days of greater PM2.5. A similar approach evaluates the air quality impacts of elevated electricity demand under a warmer climate. Meteorology is selected from the North American Regional Climate Change Assessment Program (NARCCAP) and input to a building energy model, eQUEST, to assess electricity demand as a function of ambient temperature. The associated generation and emissions are calculated on a plant-by-plant basis by the MyPower power sector model. These emissions are referenced to the 2011 National Emissions Inventory to be modeled in CMAQ for the Eastern U.S. and extended to health impact evaluation with the Environmental Benefits Mapping and Analysis Program (BenMAP). All results focus on the air quality and health consequences of energy system changes, considering grid-level changes to meet climate and air quality goals.

  13. Wind Energy at NREL's National Wind Technology Center

    ScienceCinema

    None

    2017-12-09

    It is a pure, plentiful natural resource. Right now wind is in high demand and it holds the potential to transform the way we power our homes and businesses. NREL is at the forefront of wind energy research and development. NREL's National Wind Technology Center (NWTC) is a world-class facility dedicated to accelerating and deploying wind technology.

  14. CABS: Green Energy for Our Nation's Future (A "Life at the Frontiers of Energy Research" contest entry from the 2011 Energy Frontier Research Centers (EFRCs) Summit and Forum)

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

    None

    "CABS: Green Energy for our Nation's Future" was submitted by the Center for Advanced Biofuel Systems (CABS) to the "Life at the Frontiers of Energy Research" video contest at the 2011 Science for Our Nation's Energy Future: Energy Frontier Research Centers (EFRCs) Summit and Forum. Twenty-six EFRCs created short videos to highlight their mission and their work. CABS, an EFRC directed by Jan Jaworski at the Donald Danforth Plant Science Center is a partnership of scientists from five institutions: Donald Danforth Plant Science Center (lead), Michigan State University, the University of Nebraska, New Mexico Consortium/LANL, and Washington State University. Themore » Office of Basic Energy Sciences in the U.S. Department of Energy's Office of Science established the 46 Energy Frontier Research Centers (EFRCs) in 2009. These collaboratively-organized centers conduct fundamental research focused on 'grand challenges' and use-inspired 'basic research needs' recently identified in major strategic planning efforts by the scientific community. The overall purpose is to accelerate scientific progress toward meeting the nation's critical energy challenges.« less

  15. Understanding National Models for Climate Assessments

    NASA Astrophysics Data System (ADS)

    Dave, A.; Weingartner, K.

    2017-12-01

    National-level climate assessments have been produced or are underway in a number of countries. These efforts showcase a variety of approaches to mapping climate impacts onto human and natural systems, and involve a variety of development processes, organizational structures, and intended purposes. This presentation will provide a comparative overview of national `models' for climate assessments worldwide, drawing from a geographically diverse group of nations with varying capacities to conduct such assessments. Using an illustrative sampling of assessment models, the presentation will highlight the range of assessment mandates and requirements that drive this work, methodologies employed, focal areas, and the degree to which international dimensions are included for each nation's assessment. This not only allows the U.S. National Climate Assessment to be better understood within an international context, but provides the user with an entry point into other national climate assessments around the world, enabling a better understanding of the risks and vulnerabilities societies face.

  16. Dynamic high energy density plasma environments at the National Ignition Facility for nuclear science research

    NASA Astrophysics Data System (ADS)

    Cerjan, Ch J.; Bernstein, L.; Berzak Hopkins, L.; Bionta, R. M.; Bleuel, D. L.; Caggiano, J. A.; Cassata, W. S.; Brune, C. R.; Frenje, J.; Gatu-Johnson, M.; Gharibyan, N.; Grim, G.; Hagmann, Chr; Hamza, A.; Hatarik, R.; Hartouni, E. P.; Henry, E. A.; Herrmann, H.; Izumi, N.; Kalantar, D. H.; Khater, H. Y.; Kim, Y.; Kritcher, A.; Litvinov, Yu A.; Merrill, F.; Moody, K.; Neumayer, P.; Ratkiewicz, A.; Rinderknecht, H. G.; Sayre, D.; Shaughnessy, D.; Spears, B.; Stoeffl, W.; Tommasini, R.; Yeamans, Ch; Velsko, C.; Wiescher, M.; Couder, M.; Zylstra, A.; Schneider, D.

    2018-03-01

    The generation of dynamic high energy density plasmas in the pico- to nano-second time domain at high-energy laser facilities affords unprecedented nuclear science research possibilities. At the National Ignition Facility (NIF), the primary goal of inertial confinement fusion research has led to the synergistic development of a unique high brightness neutron source, sophisticated nuclear diagnostic instrumentation, and versatile experimental platforms. These novel experimental capabilities provide a new path to investigate nuclear processes and structural effects in the time, mass and energy density domains relevant to astrophysical phenomena in a unique terrestrial environment. Some immediate applications include neutron capture cross-section evaluation, fission fragment production, and ion energy loss measurement in electron-degenerate plasmas. More generally, the NIF conditions provide a singular environment to investigate the interplay of atomic and nuclear processes such as plasma screening effects upon thermonuclear reactivity. Achieving enhanced understanding of many of these effects will also significantly advance fusion energy research and challenge existing theoretical models.

  17. Creating Energy Choices for the Future. A Summary of the National Plan for Energy Research, Development, and Demonstration.

    ERIC Educational Resources Information Center

    Energy Research and Development Administration, Washington, DC.

    This booklet, which highlights and explains the 1975 National Energy Plan, is intended to improve the general public's understanding of U.S. energy policy. Sections in the publication include: (1) The Energy Problem and the Need for Planning; (2) Basic Principles of the Plan and How They Apply; (3) Overcoming the Oil and Gas Shortage; (4) The…

  18. Energy modelling in sensor networks

    NASA Astrophysics Data System (ADS)

    Schmidt, D.; Krämer, M.; Kuhn, T.; Wehn, N.

    2007-06-01

    Wireless sensor networks are one of the key enabling technologies for the vision of ambient intelligence. Energy resources for sensor nodes are very scarce. A key challenge is the design of energy efficient communication protocols. Models of the energy consumption are needed to accurately simulate the efficiency of a protocol or application design, and can also be used for automatic energy optimizations in a model driven design process. We propose a novel methodology to create models for sensor nodes based on few simple measurements. In a case study the methodology was used to create models for MICAz nodes. The models were integrated in a simulation environment as well as in a SDL runtime framework of a model driven design process. Measurements on a test application that was created automatically from an SDL specification showed an 80% reduction in energy consumption compared to an implementation without power saving strategies.

  19. A system-level cost-of-energy wind farm layout optimization with landowner modeling

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

    Chen, Le; MacDonald, Erin

    This work applies an enhanced levelized wind farm cost model, including landowner remittance fees, to determine optimal turbine placements under three landowner participation scenarios and two land-plot shapes. Instead of assuming a continuous piece of land is available for the wind farm construction, as in most layout optimizations, the problem formulation represents landowner participation scenarios as a binary string variable, along with the number of turbines. The cost parameters and model are a combination of models from the National Renewable Energy Laboratory (NREL), Lawrence Berkeley National Laboratory, and Windustiy. The system-level cost-of-energy (COE) optimization model is also tested under twomore » land-plot shapes: equally-sized square land plots and unequal rectangle land plots. The optimal COEs results are compared to actual COE data and found to be realistic. The results show that landowner remittances account for approximately 10% of farm operating costs across all cases. Irregular land-plot shapes are easily handled by the model. We find that larger land plots do not necessarily receive higher remittance fees. The model can help site developers identify the most crucial land plots for project success and the optimal positions of turbines, with realistic estimates of costs and profitability. (C) 2013 Elsevier Ltd. All rights reserved.« less

  20. Dynamic Energy Budgets and Bioaccumulation: A Model for Marine Mammals and Marine Mammal Populations

    DTIC Science & Technology

    2006-06-01

    energy into them to increase in size, or spend energy to maintain them and stay alive. Supply-side energy budget models have been pioneered by S.A.L.M...of the National Academy of Science of the United States of America 72:4172-4176. Fujiwara, M., and H. Caswell 2001. Demography of the endangered North...fraction of body tissue, which complicates measurements because of heterogeneities within tissues (Aguilar and Borrell 1991). Longevity makes it hard to

  1. Role of national labs in energy and environmental R & D: An industrial perspective

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

    Vaz, N.

    1995-12-31

    The perceived role of national laboratories in energy and environmental research and development is examined from an industrial perspective. A series of tables are used to summarize issues primarily related to the automotive industry. Impacts of policy on energy, environment, society, and international competition are outlined. Advances and further needs in automotive efficiency and pollution control, and research roles for national labs and industry are also summarized. 6 tabs.

  2. An Overview of the National Weather Service National Water Model

    NASA Astrophysics Data System (ADS)

    Cosgrove, B.; Gochis, D.; Clark, E. P.; Cui, Z.; Dugger, A. L.; Feng, X.; Karsten, L. R.; Khan, S.; Kitzmiller, D.; Lee, H. S.; Liu, Y.; McCreight, J. L.; Newman, A. J.; Oubeidillah, A.; Pan, L.; Pham, C.; Salas, F.; Sampson, K. M.; Sood, G.; Wood, A.; Yates, D. N.; Yu, W.

    2016-12-01

    The National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research (NCAR) and the NWS National Centers for Environmental Prediction (NCEP) recently implemented version 1.0 of the National Water Model (NWM) into operations. This model is an hourly cycling uncoupled analysis and forecast system that provides streamflow for 2.7 million river reaches and other hydrologic information on 1km and 250m grids. It will provide complementary hydrologic guidance at current NWS river forecast locations and significantly expand guidance coverage and type in underserved locations. The core of this system is the NCAR-supported community Weather Research and Forecasting (WRF)-Hydro hydrologic model. It ingests forcing from a variety of sources including Multi-Sensor Multi-Radar (MRMS) radar-gauge observed precipitation data and High Resolution Rapid Refresh (HRRR), Rapid Refresh (RAP), Global Forecast System (GFS) and Climate Forecast System (CFS) forecast data. WRF-Hydro is configured to use the Noah-Multi Parameterization (Noah-MP) Land Surface Model (LSM) to simulate land surface processes. Separate water routing modules perform diffusive wave surface routing and saturated subsurface flow routing on a 250m grid, and Muskingum-Cunge channel routing down National Hydrogaphy Dataset Plus V2 (NHDPlusV2) stream reaches. River analyses and forecasts are provided across a domain encompassing the Continental United States (CONUS) and hydrologically contributing areas, while land surface output is available on a larger domain that extends beyond the CONUS into Canada and Mexico (roughly from latitude 19N to 58N). The system includes an analysis and assimilation configuration along with three forecast configurations. These include a short-range 15 hour deterministic forecast, a medium-Range 10 day deterministic forecast and a long-range 30 day 16-member ensemble forecast. United Sates Geologic Survey (USGS) streamflow

  3. Adaptable Inquiry-Based Activities about National Patterns of Coal and Energy Use

    ERIC Educational Resources Information Center

    Bembenic, Meredith Hill; Cratsley, Chira Endress; Hartwell, Bradley; Guertin, Laura; Furman, Tanya

    2012-01-01

    As the United States strives to achieve energy independence, students need to be literate about energy and environmental issues. In this article, the authors present a lesson about the nation's electricity resources that is part 1 of a free, comprehensive unit on coal and energy that is available online (http://tinyurl.com/coalenergyunit). The…

  4. National Transonic Facility model and model support vibration problems

    NASA Technical Reports Server (NTRS)

    Young, Clarence P., Jr.; Popernack, Thomas G., Jr.; Gloss, Blair B.

    1990-01-01

    Vibrations of models and model support system were encountered during testing in the National Transonic Facility. Model support system yaw plane vibrations have resulted in model strain gage balance design load limits being reached. These high levels of vibrations resulted in limited aerodynamic testing for several wind tunnel models. The yaw vibration problem was the subject of an intensive experimental and analytical investigation which identified the primary source of the yaw excitation and resulted in attenuation of the yaw oscillations to acceptable levels. This paper presents the principal results of analyses and experimental investigation of the yaw plane vibration problems. Also, an overview of plans for development and installation of a permanent model system dynamic and aeroelastic response measurement and monitoring system for the National Transonic Facility is presented.

  5. Energy Models and the Policy Process.

    ERIC Educational Resources Information Center

    De Man, Reinier

    1983-01-01

    Describes the function of econometric and technological models in the policy process, and shows how different positions in the Dutch energy discussion are reflected by the application of different model methodologies. Discussion includes the energy policy context, a conceptual framework for using energy models, and energy scenarios in policy…

  6. 75 Breakthroughs by the U.S. Department of Energy's National Laboratories; Breakthroughs 2017

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

    None

    Born at a time when the world faced a dire threat, the National Laboratory System protects America through science and technology. For more than 75 years, the Department of Energy’s national laboratories have solved important problems in science, energy and national security. Partnering with industry and academia, the laboratories also drive innovation to advance economic competitiveness and ensure our nation’s future prosperity. Over the years, America's National Laboratories have been changing and improving the lives of millions of people and this expertise continues to keep our nation at the forefront of science and technology in a rapidly changing world. Thismore » network of Department of Energy Laboratories has grown into 17 facilities across the country. As this list of breakthroughs attests, Laboratory discoveries have spawned industries, saved lives, generated new products, fired the imagination and helped to reveal the secrets of the universe.« less

  7. EIA model documentation: Petroleum Market Model of the National Energy Modeling System

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

    NONE

    1994-12-30

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMMmore » estimates domestic refinery capacity expansion and fuel consumption.« less

  8. Towards integrated solutions for water, energy, and land using an integrated nexus modeling framework

    NASA Astrophysics Data System (ADS)

    Wada, Y.

    2017-12-01

    Humanity has already reached or even exceeded the Earth's carrying capacity. Growing needs for food, energy and water will only exacerbate existing challenges over the next decades. Consequently, the acceptance of "business as usual" is eroding and we are being challenged to adopt new, more integrated, and more inclusive development pathways that avoid dangerous interference with the local environment and global planetary boundaries. This challenge is embodied in the United Nation's Sustainable Development Goals (SDGs), which endeavor to set a global agenda for moving towards more sustainable development strategies. To improve and sustain human welfare, it is critical that access to modern, reliable, and affordable water, energy, and food is expanded and maintained. The Integrated Solutions for Water, Energy, and Land (IS-WEL) project has been launched by IIASA, together with the Global Environment Facility (GEF) and the United Nations Industrial Development Organization (UNIDO). This project focuses on the water-energy-land nexus in the context of other major global challenges such as urbanization, environmental degradation, and equitable and sustainable futures. It develops a consistent framework for looking at the water-energy-land nexus and identify strategies for achieving the needed transformational outcomes through an advanced assessment framework. A multi-scalar approach are being developed that aims to combine global and regional integrated assessment tools with local stakeholder knowledge in order to identify robust solutions to energy, water, food, and ecosystem security in selected regions of the world. These are regions facing multiple energy, water and land use challenges and rapid demographic and economic changes, and are hardest hit by increasing climate variability and change. This project combines the global integrated assessment model (MESSAGE) with the global land (GLOBIOM) and water (Community Water Model) model respectively, and the integrated

  9. Development of a Trip Energy Estimation Model Using Real-World Global Positioning System Driving Data: Preprint

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

    Holden, Jacob; Wood, Eric W; Zhu, Lei

    A data-driven technique for estimation of energy requirements for a proposed vehicle trip has been developed. Based on over 700,000 miles of driving data, the technique has been applied to generate a model that estimates trip energy requirements. The model uses a novel binning approach to categorize driving by road type, traffic conditions, and driving profile. The trip-level energy estimations can easily be aggregated to any higher-level transportation system network desired. The model has been tested and validated on the Austin, Texas, data set used to build this model. Ground-truth energy consumption for the data set was obtained from Futuremore » Automotive Systems Technology Simulator (FASTSim) vehicle simulation results. The energy estimation model has demonstrated 12.1 percent normalized total absolute error. The energy estimation from the model can be used to inform control strategies in routing tools, such as change in departure time, alternate routing, and alternate destinations, to reduce energy consumption. The model can also be used to determine more accurate energy consumption of regional or national transportation networks if trip origin and destinations are known. Additionally, this method allows the estimation tool to be tuned to a specific driver or vehicle type.« less

  10. Statement of Work Electrical Energy Storage System Installation at Sandia National Laboratories.

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

    Schenkman, Benjamin L.

    2017-03-01

    Sandia is seeking to procure a 1 MWh energy storage system. It will be installed at the existing Energy Storage Test Pad, which is located at Sandia National Laboratories in Albuquerque, New Mexico. This energy storage system will be a daily operational system, but will also be used as a tool in our Research and development work. The system will be part of a showcase of Sandia distributed energy technologies viewed by many distinguished delegates.

  11. Renewable energy technology development at Sandia National Laboratories

    NASA Astrophysics Data System (ADS)

    Klimas, P. C.

    1994-02-01

    The use of renewable energy technologies is typically thought of as an integral part of creating and sustaining an environment that maximizes the overall quality of life of the Earth's present inhabitants and does not leave an undue burden on future generations. Sandia National Laboratories has been a leader in developing many of these technologies over the last two decades. This paper describes innovative solar, wind and geothermal energy systems and components that Sandia is helping to bring to the marketplace. A common but special aspect of all of these activities is that they are conducted in partnership with non-federal government entities. A number of these partners are from New Mexico.

  12. Wind energy resource modelling in Portugal and its future large-scale alteration due to anthropogenic induced climate changes =

    NASA Astrophysics Data System (ADS)

    Carvalho, David Joao da Silva

    The high dependence of Portugal from foreign energy sources (mainly fossil fuels), together with the international commitments assumed by Portugal and the national strategy in terms of energy policy, as well as resources sustainability and climate change issues, inevitably force Portugal to invest in its energetic self-sufficiency. The 20/20/20 Strategy defined by the European Union defines that in 2020 60% of the total electricity consumption must come from renewable energy sources. Wind energy is currently a major source of electricity generation in Portugal, producing about 23% of the national total electricity consumption in 2013. The National Energy Strategy 2020 (ENE2020), which aims to ensure the national compliance of the European Strategy 20/20/20, states that about half of this 60% target will be provided by wind energy. This work aims to implement and optimise a numerical weather prediction model in the simulation and modelling of the wind energy resource in Portugal, both in offshore and onshore areas. The numerical model optimisation consisted in the determination of which initial and boundary conditions and planetary boundary layer physical parameterizations options provide wind power flux (or energy density), wind speed and direction simulations closest to in situ measured wind data. Specifically for offshore areas, it is also intended to evaluate if the numerical model, once optimised, is able to produce power flux, wind speed and direction simulations more consistent with in situ measured data than wind measurements collected by satellites. This work also aims to study and analyse possible impacts that anthropogenic climate changes may have on the future wind energetic resource in Europe. The results show that the ECMWF reanalysis ERA-Interim are those that, among all the forcing databases currently available to drive numerical weather prediction models, allow wind power flux, wind speed and direction simulations more consistent with in situ wind

  13. Energy-economic policy modeling

    NASA Astrophysics Data System (ADS)

    Sanstad, Alan H.

    2018-01-01

    Computational models based on economic principles and methods are powerful tools for understanding and analyzing problems in energy and the environment and for designing policies to address them. Among their other features, some current models of this type incorporate information on sustainable energy technologies and can be used to examine their potential role in addressing the problem of global climate change. The underlying principles and the characteristics of the models are summarized, and examples of this class of model and their applications are presented. Modeling epistemology and related issues are discussed, as well as critiques of the models. The paper concludes with remarks on the evolution of the models and possibilities for their continued development.

  14. Energy-Water Modeling and Impacts at Urban and Infrastructure Scales

    NASA Astrophysics Data System (ADS)

    Saleh, F.; Pullen, J. D.; Schoonen, M. A.; Gonzalez, J.; Bhatt, V.; Fellows, J. D.

    2017-12-01

    We converge multi-disciplinary, multi-sectoral modeling and data analysis tools on an urban watershed to examine the feedbacks of concentrated and connected infrastructure on the environment. Our focus area is the Lower Hudson River Basin (LHRB). The LHRB captures long-term and short- term energy/water stressors as it represents: 1) a coastal environment subject to sea level rise that is among the fastest in the East impacted by a wide array of various storms; 2) one of the steepest gradients in population density in the US, with Manhattan the most densely populated coastal county in the nation; 3) energy/water infrastructure serving the largest metropolitan area in the US; 4) a history of environmental impacts, ranging from heatwaves to hurricanes, that can be used to hindcast; and 5) a wealth of historic and real-time data, extensive monitoring facilities and existing specific sector models that can be leveraged. We detail two case studies on "water infrastructure and stressors", and "heatwaves and energy-water demands." The impact of a hypothetical failure of Oradell Dam (on the Hackensack River, a tributary of the Hudson River) coincident with a hurricane, and urban power demands under current and future heat waves are examined with high-resolution (meter to km scale) earth system models to illustrate energy water nexus issues where detailed predictions can shape response and mitigation strategies.

  15. Modeling US Adult Obesity Trends: A System Dynamics Model for Estimating Energy Imbalance Gap

    PubMed Central

    Rahmandad, Hazhir; Huang, Terry T.-K.; Bures, Regina M.; Glass, Thomas A.

    2014-01-01

    Objectives. We present a system dynamics model that quantifies the energy imbalance gap responsible for the US adult obesity epidemic among gender and racial subpopulations. Methods. We divided the adult population into gender–race/ethnicity subpopulations and body mass index (BMI) classes. We defined transition rates between classes as a function of metabolic dynamics of individuals within each class. We estimated energy intake in each BMI class within the past 4 decades as a multiplication of the equilibrium energy intake of individuals in that class. Through calibration, we estimated the energy gap multiplier for each gender–race–BMI group by matching simulated BMI distributions for each subpopulation against national data with maximum likelihood estimation. Results. No subpopulation showed a negative or zero energy gap, suggesting that the obesity epidemic continues to worsen, albeit at a slower rate. In the past decade the epidemic has slowed for non-Hispanic Whites, is starting to slow for non-Hispanic Blacks, but continues to accelerate among Mexican Americans. Conclusions. The differential energy balance gap across subpopulations and over time suggests that interventions should be tailored to subpopulations’ needs. PMID:24832405

  16. Energy Blocks — A Physical Model for Teaching Energy Concepts

    NASA Astrophysics Data System (ADS)

    Hertting, Scott

    2016-01-01

    Most physics educators would agree that energy is a very useful, albeit abstract topic. It is therefore important to use various methods to help the student internalize the concept of energy itself and its related ideas. These methods include using representations such as energy bar graphs, energy pie charts, or energy tracking diagrams. Activities and analogies like Energy Theater and Richard Feynman's blocks, as well as the popular money (or wealth) analogy, can also be very effective. The goal of this paper is to describe a physical model of Feynman's blocks that can be employed by instructors to help students learn the following energy-related concepts: 1. The factors affecting each individual mechanical energy storage mode (this refers to what has been traditionally called a form of energy, and while the Modeling Method of instruction is not the focus of this paper, much of the energy related language used is specific to the Modeling Method). For example, how mass or height affects gravitational energy; 2. Energy conservation; and 3. The graphical relationships between the energy storage mode and a factor affecting it. For example, the graphical relationship between elastic energy and the change in length of a spring.

  17. Integration of energy analytics and smart energy microgrid into mobile medicine operations for the 2012 Democratic National Convention.

    PubMed

    McCahill, Peter W; Noste, Erin E; Rossman, A J; Callaway, David W

    2014-12-01

    Disasters create major strain on energy infrastructure in affected communities. Advances in microgrid technology offer the potential to improve "off-grid" mobile disaster medical response capabilities beyond traditional diesel generation. The Carolinas Medical Center's mobile emergency medical unit (MED-1) Green Project (M1G) is a multi-phase project designed to demonstrate the benefits of integrating distributive generation (DG), high-efficiency batteries, and "smart" energy utilization in support of major out-of-hospital medical response operations. Carolinas MED-1 is a mobile medical facility composed of a fleet of vehicles and trailers that provides comprehensive medical care capacities to support disaster response and special-event operations. The M1G project partnered with local energy companies to deploy energy analytics and an energy microgrid in support of mobile clinical operations for the 2012 Democratic National Convention (DNC) in Charlotte, North Carolina (USA). Energy use data recorded throughout the DNC were analyzed to create energy utilization models that integrate advanced battery technology, solar photovoltaic (PV), and energy conservation measures (ECM) to improve future disaster response operations. The generators that supply power for MED-1 have a minimum loading ratio (MLR) of 30 kVA. This means that loads below 30 kW lead to diesel fuel consumption at the same rate as a 30 kW load. Data gathered from the two DNC training and support deployments showed the maximum load of MED-1 to be around 20 kW. This discrepancy in MLR versus actual load leads to significant energy waste. The lack of an energy storage system reduces generator efficiency and limits integration of alternative energy generation strategies. A storage system would also allow for alternative generation sources, such as PV, to be incorporated. Modeling with a 450 kWh battery bank and 13.5 kW PV array showed a 2-fold increase in potential deployment times using the same amount of

  18. World energy projection system: Model documentation

    NASA Astrophysics Data System (ADS)

    1992-06-01

    The World Energy Project System (WEPS) is an accounting framework that incorporates projects from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product) and about the rate of incremental energy requirements met by hydropower, geothermal, coal, and natural gas to produce projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO). Two independently documented models presented in Figure 1, the Oil Market Simulation (OMS) model and the World Integrated Nuclear Evaluation System (WINES), provide projections of oil and nuclear power consumption published in the IEO. Output from a third independently documented model, and the International Coal Trade Model (ICTM), is not published in the IEO but is used in WEPS as a supply check on projections of world coal consumption produced by WEPS and published in the IEO. A WEPS model of natural gas production documented in this report provides the same type of implicit supply check on the WEPS projections of world natural gas consumption published in the IEO. Two additional models are included in Figure 1, the OPEC Capacity model and the Non-OPEC Oil Production model. These WEPS models provide inputs to the OMS model and are documented in this report.

  19. Dynamic high energy density plasma environments at the National Ignition Facility for nuclear science research

    DOE PAGES

    Cerjan, Ch J.; Bernstein, L.; Hopkins, L. Berzak; ...

    2017-08-16

    We present the generation of dynamic high energy density plasmas in the pico- to nano-second time domain at high-energy laser facilities affords unprecedented nuclear science research possibilities. At the National Ignition Facility (NIF), the primary goal of inertial confinement fusion research has led to the synergistic development of a unique high brightness neutron source, sophisticated nuclear diagnostic instrumentation, and versatile experimental platforms. These novel experimental capabilities provide a new path to investigate nuclear processes and structural effects in the time, mass and energy density domains relevant to astrophysical phenomena in a unique terrestrial environment. Some immediate applications include neutron capturemore » cross-section evaluation, fission fragment production, and ion energy loss measurement in electron-degenerate plasmas. More generally, the NIF conditions provide a singular environment to investigate the interplay of atomic and nuclear processes such as plasma screening effects upon thermonuclear reactivity. Lastly, achieving enhanced understanding of many of these effects will also significantly advance fusion energy research and challenge existing theoretical models.« less

  20. Dynamic high energy density plasma environments at the National Ignition Facility for nuclear science research

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

    Cerjan, Ch J.; Bernstein, L.; Hopkins, L. Berzak

    We present the generation of dynamic high energy density plasmas in the pico- to nano-second time domain at high-energy laser facilities affords unprecedented nuclear science research possibilities. At the National Ignition Facility (NIF), the primary goal of inertial confinement fusion research has led to the synergistic development of a unique high brightness neutron source, sophisticated nuclear diagnostic instrumentation, and versatile experimental platforms. These novel experimental capabilities provide a new path to investigate nuclear processes and structural effects in the time, mass and energy density domains relevant to astrophysical phenomena in a unique terrestrial environment. Some immediate applications include neutron capturemore » cross-section evaluation, fission fragment production, and ion energy loss measurement in electron-degenerate plasmas. More generally, the NIF conditions provide a singular environment to investigate the interplay of atomic and nuclear processes such as plasma screening effects upon thermonuclear reactivity. Lastly, achieving enhanced understanding of many of these effects will also significantly advance fusion energy research and challenge existing theoretical models.« less

  1. A Community-Based Approach to Leading the Nation in Smart Energy Use

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

    None, None

    2013-12-31

    Project Objectives The AEP Ohio gridSMART® Demonstration Project (Project) achieved the following objectives: • Built a secure, interoperable, and integrated smart grid infrastructure in northeast central Ohio that demonstrated the ability to maximize distribution system efficiency and reliability and consumer use of demand response programs that reduced energy consumption, peak demand, and fossil fuel emissions. • Actively attracted, educated, enlisted, and retained consumers in innovative business models that provided tools and information reducing consumption and peak demand. • Provided the U.S. Department of Energy (DOE) information to evaluate technologies and preferred smart grid business models to be extended nationally. Projectmore » Description Ohio Power Company (the surviving company of a merger with Columbus Southern Power Company), doing business as AEP Ohio (AEP Ohio), took a community-based approach and incorporated a full suite of advanced smart grid technologies for 110,000 consumers in an area selected for its concentration and diversity of distribution infrastructure and consumers. It was organized and aligned around: • Technology, implementation, and operations • Consumer and stakeholder acceptance • Data management and benefit assessment Combined, these functional areas served as the foundation of the Project to integrate commercially available products, innovative technologies, and new consumer products and services within a secure two-way communication network between the utility and consumers. The Project included Advanced Metering Infrastructure (AMI), Distribution Management System (DMS), Distribution Automation Circuit Reconfiguration (DACR), Volt VAR Optimization (VVO), and Consumer Programs (CP). These technologies were combined with two-way consumer communication and information sharing, demand response, dynamic pricing, and consumer products, such as plug-in electric vehicles and smart appliances. In addition, the

  2. The Society-Deciders Model and Fairness in Nations

    NASA Astrophysics Data System (ADS)

    Flomenbom, Ophir

    2015-05-01

    Modeling the dynamics in nations from economical and sociological perspectives is a central theme in economics and sociology. Accurate models can predict and therefore help all the world's citizens. Yet, recent years have show that the current models are missing. Here, we develop a dynamical society-deciders model that can explain the stability in a nation, based on concepts from dynamics, ecology and socio-econo-physics; a nation has two groups that interconnect, the deciders and the society. We show that a nation is either stable or it collapses. This depends on just two coefficients that we relate with sociological and economical indicators. We define a new socio-economic indicator, fairness. Fairness can measure the stability in a nation and how probable a change favoring the society is. We compute fairness among all the world's nations. Interestingly, in comparison with other indicators, fairness shows that the USA loses its rank among Western democracies, India is the best among the 15 most populated nations, and Egypt, Libya and Tunisia have significantly improved their rankings as a result of recent revolutions, further increasing the probability of additional positive changes. Within the model, long lasting crises are solved rather than with increasing governmental spending or cuts with regulations that reduce the stability of the deciders, namely, increasing fairness, while, for example, shifting wealth in the direction of the people, and therefore increasing further opportunities.

  3. Measuring Changes in Energy Efficiency for the Annual Energy Outlook 2002

    EIA Publications

    2002-01-01

    This paper describes the methodology used to develop the National Energy Modeling System estimate of projected aggregate energy efficiency and to describe the results of applying it to the Annual Energy Outlook 2002 (AEO2002) reference case.

  4. Modeling Laboratory Astrophysics Experiments in the High-Energy-Density Regime Using the CRASH Radiation-Hydrodynamics Model

    NASA Astrophysics Data System (ADS)

    Grosskopf, M. J.; Drake, R. P.; Trantham, M. R.; Kuranz, C. C.; Keiter, P. A.; Rutter, E. M.; Sweeney, R. M.; Malamud, G.

    2012-10-01

    The radiation hydrodynamics code developed by the Center for Radiative Shock Hydrodynamics (CRASH) at the University of Michigan has been used to model experimental designs for high-energy-density physics campaigns on OMEGA and other high-energy laser facilities. This code is an Eulerian, block-adaptive AMR hydrodynamics code with implicit multigroup radiation transport and electron heat conduction. CRASH model results have shown good agreement with a experimental results from a variety of applications, including: radiative shock, Kelvin-Helmholtz and Rayleigh-Taylor experiments on the OMEGA laser; as well as laser-driven ablative plumes in experiments by the Astrophysical Collisionless Shocks Experiments with Lasers (ACSEL), collaboration. We report a series of results with the CRASH code in support of design work for upcoming high-energy-density physics experiments, as well as comparison between existing experimental data and simulation results. This work is funded by the Predictive Sciences Academic Alliances Program in NNSA-ASC via grant DEFC52- 08NA28616, by the NNSA-DS and SC-OFES Joint Program in High-Energy-Density Laboratory Plasmas, grant number DE-FG52-09NA29548, and by the National Laser User Facility Program, grant number DE-NA0000850.

  5. Development of a decision aid for energy resource management for the Navajo Nation incorporating environmental cultural values

    NASA Astrophysics Data System (ADS)

    Necefer, Len Edward

    Decision-making surrounding pathways of future energy resource management are complexity and requires balancing tradeoffs of multiple environmental, social, economic, and technical outcomes. Technical decision aid can provide a framework for informed decision making, allowing individuals to better understand the tradeoff between resources, technology, energy services, and prices. While technical decision aid have made significant advances in evaluating these quantitative aspects of energy planning and performance, they have not been designed to incorporate human factors, such as preferences and behavior that are informed by cultural values. Incorporating cultural values into decision tools can provide not only an improved decision framework for the Navajo Nation, but also generate new insights on how these perspective can improve decision making on energy resources. Ensuring these aids are a cultural fit for each context has the potential to increase trust and promote understanding of the tradeoffs involved in energy resource management. In this dissertation I present the development of a technical tool that explicitly addresses cultural and spiritual values and experimentally assesses their influence on the preferences and decision making of Navajo citizens. Chapter 2 describes the results of a public elicitation effort to gather information about stakeholder views and concerns related to energy development in the Navajo Nation in order to develop a larger sample survey and a decision-support tool that links techno-economic energy models with sociocultural attributes. Chapter 3 details the methods of developing the energy decision aid and its underlying assumptions for alternative energy projects and their impacts. This tool also provides an alternative to economic valuation of cultural impacts based upon an ordinal index tied to environmental impacts. Chapter 4 details the the influence of various cultural, environmental, and economic outcome information provided

  6. EIA model documentation: Petroleum market model of the national energy modeling system

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

    NONE

    1995-12-28

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supplymore » for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.« less

  7. Energy and the capital of nations

    NASA Astrophysics Data System (ADS)

    Karakatsanis, Georgios

    2016-04-01

    significant production factor. This work enriches such studies via integrating the analysis all forms of capital and for a wider range of countries; estimating the trade-off -as output elasticity ratios- between the accumulation of various anthropogenic capital forms and the deterioration of natural capital -considered both as resource stock and carrying capacities of the environment. Keywords: energy, fossil fuels, industrial civilization, capital, production factor, natural capital, 2nd Law, entropy, irreversibility, exergy, LINEX function, output elasticity References 1. Ayres, Robert U. and Benjamin Warr (2009), The Economic Growth Engine: How Energy and Work Drive Material Prosperity, Edward Elgar and IIASA 2. Kümmel, Reiner (2011), The Second Law of Economics: Energy, Entropy and the Origins of Wealth, Springer 3. Lindenberger, Dietmar and Reiner Kümmel (2011), Energy and the state of nations, Energy 36, 6010 - 6018 4. Wall, Goran (2005), Exergy Capital and Sustainable Development, Proceedings of the Second International Exergy, Energy and Environment Symposium, Kos, Greece, Paper No. XII-I49

  8. Biomass resources for energy in Ohio: The OH-MARKAL modeling framework

    NASA Astrophysics Data System (ADS)

    Shakya, Bibhakar

    The latest reports from the Intergovernmental Panel on Climate Change have indicated that human activities are directly responsible for a significant portion of global warming trends. In response to the growing concerns regarding climate change and efforts to create a sustainable energy future, biomass energy has come to the forefront as a clean and sustainable energy resource. Biomass energy resources are environmentally clean and carbon neutral with net-zero carbon dioxide (CO2) emissions, since CO2 is absorbed or sequestered from the atmosphere during the plant growth. Hence, biomass energy mitigates greenhouse gases (GHG) emissions that would otherwise be added to the environment by conventional fossil fuels, such as coal. The use of biomass resources for energy is even more relevant in Ohio, as the power industry is heavily based on coal, providing about 90 percent of the state's total electricity while only 50 percent of electricity comes from coal at the national level. The burning of coal for electricity generation results in substantial GHG emissions and environmental pollution, which are responsible for global warming and acid rain. Ohio is currently one of the top emitters of GHG in the nation. This dissertation research examines the potential use of biomass resources by analyzing key economic, environmental, and policy issues related to the energy needs of Ohio over a long term future (2001-2030). Specifically, the study develops a dynamic linear programming model (OH-MARKAL) to evaluate biomass cofiring as an option in select coal power plants (both existing and new) to generate commercial electricity in Ohio. The OH-MARKAL model is based on the MARKAL (MARKet ALlocation) framework. Using extensive data on the power industry and biomass resources of Ohio, the study has developed the first comprehensive power sector model for Ohio. Hence, the model can serve as an effective tool for Ohio's energy planning, since it evaluates economic and environmental

  9. U.S. Department of Energy, Sandia National Laboratories: Printing Case Study

    EPA Pesticide Factsheets

    The U.S. Department of Energy, Sandia National Laboratories (SNL), New Mexico quantified the costs associated with individual desktop printing devices, for comparison with costs associated with using networked copiers as printers

  10. Description of the National Hydrologic Model for use with the Precipitation-Runoff Modeling System (PRMS)

    USGS Publications Warehouse

    Regan, R. Steven; Markstrom, Steven L.; Hay, Lauren E.; Viger, Roland J.; Norton, Parker A.; Driscoll, Jessica M.; LaFontaine, Jacob H.

    2018-01-08

    This report documents several components of the U.S. Geological Survey National Hydrologic Model of the conterminous United States for use with the Precipitation-Runoff Modeling System (PRMS). It provides descriptions of the (1) National Hydrologic Model, (2) Geospatial Fabric for National Hydrologic Modeling, (3) PRMS hydrologic simulation code, (4) parameters and estimation methods used to compute spatially and temporally distributed default values as required by PRMS, (5) National Hydrologic Model Parameter Database, and (6) model extraction tool named Bandit. The National Hydrologic Model Parameter Database contains values for all PRMS parameters used in the National Hydrologic Model. The methods and national datasets used to estimate all the PRMS parameters are described. Some parameter values are derived from characteristics of topography, land cover, soils, geology, and hydrography using traditional Geographic Information System methods. Other parameters are set to long-established default values and computation of initial values. Additionally, methods (statistical, sensitivity, calibration, and algebraic) were developed to compute parameter values on the basis of a variety of nationally-consistent datasets. Values in the National Hydrologic Model Parameter Database can periodically be updated on the basis of new parameter estimation methods and as additional national datasets become available. A companion ScienceBase resource provides a set of static parameter values as well as images of spatially-distributed parameters associated with PRMS states and fluxes for each Hydrologic Response Unit across the conterminuous United States.

  11. Non-LTE modeling for the National Ignition Facility (and beyond)

    NASA Astrophysics Data System (ADS)

    Scott, H. A.; Hammel, B. A.; Hansen, S. B.

    2012-05-01

    Considerable progress has been made in the last year in the study of laser-driven inertial confinement fusion at the National Ignition Facility (NIF). Experiments have demonstrated symmetric capsule implosions with plasma conditions approaching those required for ignition. Improvements in computational models - in large part due to advances in non-LTE modeling - have resulted in simulations that match experimental results quite well for the X-ray drive, implosion symmetry and total wall emission [1]. Non-LTE modeling is a key part of the NIF simulation effort, affecting several aspects of experimental design and diagnostics. The X-rays that drive the capsule arise from high-Z material ablated off the hohlraum wall. Current capsule designs avoid excessive preheat from high-energy X-rays by shielding the fuel with a mid-Z dopant, which affects the capsule dynamics. The dopant also mixes into the hot spot through hydrodynamic instabilities, providing diagnostic possibilities but potentially impacting the energy balance of the capsule [2]. Looking beyond the NIF, a proposed design for a fusion reactor chamber depends on lowdensity high-Z gas absorbing X-rays and particles to protect the first wall [3]. These situations encompass a large range of temperatures, densities and spatial scales. They each emphasize different aspects of atomic physics and present a variety of challenges for non-LTE modeling. We discuss the relevant issues and summarize the current state of the modeling effort for these applications.

  12. Virtual special issue on catalysis at the U.S. Department of Energy's National Laboratories

    DOE PAGES

    Pruski, Marek; Sadow, Aaron D.; Slowing, Igor I.; ...

    2016-04-21

    Here the catalysis research at the U.S. Department of Energy's (DOE's) National Laboratories covers a wide range of research topics in heterogeneous catalysis, homogeneous/molecular catalysis, biocatalysis, electrocatalysis, and surface science. Since much of the work at National Laboratories is funded by DOE, the research is largely focused on addressing DOE's mission to ensure America's security and prosperity by addressing its energy, environmental, and nuclear challenges through transformative science and technology solutions.

  13. The United Nations development programme initiative for sustainable energy

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

    Hurry, S.

    1997-12-01

    Energy is central to current concerns about sustainable human development, affecting economic and social development; economic growth, the local, national, regional, and global environment; the global climate; a host of social concerns, including poverty, population, and health, the balance of payments, and the prospects for peace. Energy is not an end in itself, but rather the means to achieve the goals of sustainable human development. The energy systems of most developing countries are in serious crisis involving insufficient levels of energy services, environmental degradation, inequity, poor technical and financial performance, and capital scarcity. Approximately 2.5 billion people in the developingmore » countries have little access to commercial energy supplies. Yet the global demand for energy continues to grow: total primary energy is projected to grow from 378 exajoules (EJ) per year in 1990 to 571 EJ in 2020, and 832 EJ in 2050. If this increase occurs using conventional approaches and energy sources, already serious local (e.g., indoor and urban air pollution), regional (eg., acidification and land degradation), and global (e.g., climate change) environmental problems will be critically aggravated. There is likely to be inadequate capital available for the needed investments in conventional energy sources. Current approaches to energy are thus not sustainable and will, in fact, make energy a barrier to socio-economic development. What is needed now is a new approach in which energy becomes an instrument for sustainable development. The two major components of a sustainable energy strategy are (1) more efficient energy use, especially at the point of end-use, and (2) increased use of renewable sources of energy. The UNDP Initiative for Sustainable Energy (UNISE) is designed to harness opportunities in these areas to build upon UNDP`s existing energy activities to help move the world toward a more sustainable energy strategy by helping program countries.« less

  14. Purdue professors review energy issues: six separate statements for the National Research Council Committee on Nuclear and Alternative Energy Systems

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

    Not Available

    1976-01-01

    In the Introductory statement, Professor Philip N. Powers, Director of the Energy Engineering Center, discussed briefly the societal stresses resulting from energy shortfalls, the conservation and lower-growth-rate approach, the energy decision-making process, international considerations of energy supply and demand, the consideration for alternative energy sources other than nuclear or coal, and the cost-effectiveness of environmental improvements. Professor Leonard Z. Breen's statement, Energy and Society, discusses population changes, communication networks in decision making, effects of urbanizing and suburbanizing, and social impacts of changing technologies. Professor Otto C. Doering in his statement, Alternate Fuels and Agricultural Production, emphasizes such things as timemore » constraints, relative inflexibility with respect to energy source, and the biological nature of agriculture (especially weather concerns). Professor Frank P. Incropera identifies the technology of power generation (especially increasing power plant efficiency) as the first priority in his statement, Efficient Energy Utilization and Conservation. Professor Reinhardt Schuhmann, Jr. in his statement, National Problem Solving and Energy, suggests that the primary objective should be development of a new national energy process, rather than the collection and analysis of comprehensive and detailed data and rather than refinement of forecasting and scenario building. Professor Jay W. Wiley in his statement, Planning for Effective Energy Utilization, specifies certain basic understandings that must be recognized in the following areas: economic relationships, energy sources, fission nuclear energy, and electric power production in the short run. (MCW)« less

  15. 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.)

  16. Residential Energy Consumption Survey (RECS): National interim energy consumption survey, 1978-1979, household monthly energy consumption and expenditures. Shopper's guide

    NASA Astrophysics Data System (ADS)

    Windell, P.

    1981-08-01

    The data from the National Interim Energy Consumption Survey (NIECS) is available to the public on machine readable magnetic tapes. Brief overviews of the Residential Energy Consumption Survey as a whole and of the NIECS in particular is a brief description of each of the files included in this tape, and a list of the variables in the data set are included. A copy of the fuel supplier record form used to collect consumption and expenditure data for each of the sample households is also included.

  17. 48 CFR 52.211-14 - Notice of Priority Rating for National Defense, Emergency Preparedness, and Energy Program Use.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... for National Defense, Emergency Preparedness, and Energy Program Use. 52.211-14 Section 52.211-14... for National Defense, Emergency Preparedness, and Energy Program Use. As prescribed in 11.604(a), insert the following provision: Notice of Priority Rating for National Defense, Emergency Preparedness...

  18. Simple model of the indirect compression of targets under conditions close to the national ignition facility at an energy of 1.5 MJ

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

    Rozanov, V. B., E-mail: rozanov@sci.lebedev.ru; Vergunova, G. A., E-mail: verg@sci.lebedev.ru

    2015-11-15

    The possibility of the analysis and interpretation of the reported experiments with the megajoule National Ignition Facility (NIF) laser on the compression of capsules in indirect-irradiation targets by means of the one-dimensional RADIAN program in the spherical geometry has been studied. The problem of the energy balance in a target and the determination of the laser energy that should be used in the spherical model of the target has been considered. The results of action of pulses differing in energy and time profile (“low-foot” and “high-foot” regimes) have been analyzed. The parameters of the compression of targets with a high-densitymore » carbon ablator have been obtained. The results of the simulations are in satisfactory agreement with the measurements and correspond to the range of the observed parameters. The set of compared results can be expanded, in particular, for a more detailed determination of the parameters of a target near the maximum compression of the capsule. The physical foundation of the possibility of using the one-dimensional description is the necessity of the closeness of the last stage of the compression of the capsule to a one-dimensional process. The one-dimensional simulation of the compression of the capsule can be useful in establishing the boundary behind which two-dimensional and three-dimensional simulation should be used.« less

  19. Potential impacts of climate change on the built environment: ASHRAE climate zones, building codes and national energy efficiency

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

    New, Joshua Ryan; Kumar, Jitendra; Hoffman, Forrest M.

    Statement of the Problem: ASHRAE releases updates to 90.1 “Energy Standard for Buildings except Low-Rise Residential Buildings” every three years resulting in a 3.7%-17.3% increase in energy efficiency for buildings with each release. This is adopted by or informs building codes in nations across the globe, is the National Standard for the US, and individual states elect which release year of the standard they will enforce. These codes are built upon Standard 169 “Climatic Data for Building Design Standards,” the latest 2017 release of which defines climate zones based on 8, 118 weather stations throughout the world and data frommore » the past 8-25 years. This data may not be indicative of the weather that new buildings built today, will see during their upcoming 30-120 year lifespan. Methodology & Theoretical Orientation: Using more modern, high-resolution datasets from climate satellites, IPCC climate models (PCM and HadGCM), high performance computing resources (Titan) and new capabilities for clustering and optimization the authors briefly analyzed different methods for redefining climate zones. Using bottom-up analysis of multiple meteorological variables which were the subject matter, experts selected as being important to energy consumption, rather than the heating/cooling degree days currently used. Findings: We analyzed the accuracy of redefined climate zones, compared to current climate zones and how the climate zones moved under different climate change scenarios, and quantified the accuracy of these methods on a local level, at a national scale for the US. Conclusion & Significance: There is likely to be a significant annual, national energy and cost (billions USD) savings that could be realized by adjusting climate zones to take into account anticipated trends or scenarios in regional weather patterns.« less

  20. 3 CFR 8431 - Proclamation 8431 of October 2, 2009. National Energy Awareness Month, 2009

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... global competitiveness and national security. Innovation in energy technology will decrease our oil use..., engineers, and entrepreneurs bring new and improved energy technologies to homes and businesses in this... importer of oil, or we can become the world's leading exporter of clean energy technology. We can allow...

  1. Langevin model of low-energy fission

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

    Sierk, Arnold John

    Since the earliest days of fission, stochastic models have been used to describe and model the process. For a quarter century, numerical solutions of Langevin equations have been used to model fission of highly excited nuclei, where microscopic potential-energy effects have been neglected. In this paper I present a Langevin model for the fission of nuclei with low to medium excitation energies, for which microscopic effects in the potential energy cannot be ignored. I solve Langevin equations in a five-dimensional space of nuclear deformations. The macroscopic-microscopic potential energy from a global nuclear structure model well benchmarked to nuclear masses ismore » tabulated on a mesh of approximately 10 7 points in this deformation space. The potential is defined continuously inside the mesh boundaries by use of a moving five-dimensional cubic spline approximation. Because of reflection symmetry, the effective mesh is nearly twice this size. For the inertia, I use a (possibly scaled) approximation to the inertia tensor defined by irrotational flow. A phenomenological dissipation tensor related to one-body dissipation is used. A normal-mode analysis of the dynamical system at the saddle point and the assumption of quasiequilibrium provide distributions of initial conditions appropriate to low excitation energies, and are extended to model spontaneous fission. A dynamical model of postscission fragment motion including dynamical deformations and separation allows the calculation of final mass and kinetic-energy distributions, along with other interesting quantities. The model makes quantitative predictions for fragment mass and kinetic-energy yields, some of which are very close to measured ones. Varying the energy of the incident neutron for induced fission allows the prediction of energy dependencies of fragment yields and average kinetic energies. With a simple approximation for spontaneous fission starting conditions, quantitative predictions are made for

  2. Langevin model of low-energy fission

    DOE PAGES

    Sierk, Arnold John

    2017-09-05

    Since the earliest days of fission, stochastic models have been used to describe and model the process. For a quarter century, numerical solutions of Langevin equations have been used to model fission of highly excited nuclei, where microscopic potential-energy effects have been neglected. In this paper I present a Langevin model for the fission of nuclei with low to medium excitation energies, for which microscopic effects in the potential energy cannot be ignored. I solve Langevin equations in a five-dimensional space of nuclear deformations. The macroscopic-microscopic potential energy from a global nuclear structure model well benchmarked to nuclear masses ismore » tabulated on a mesh of approximately 10 7 points in this deformation space. The potential is defined continuously inside the mesh boundaries by use of a moving five-dimensional cubic spline approximation. Because of reflection symmetry, the effective mesh is nearly twice this size. For the inertia, I use a (possibly scaled) approximation to the inertia tensor defined by irrotational flow. A phenomenological dissipation tensor related to one-body dissipation is used. A normal-mode analysis of the dynamical system at the saddle point and the assumption of quasiequilibrium provide distributions of initial conditions appropriate to low excitation energies, and are extended to model spontaneous fission. A dynamical model of postscission fragment motion including dynamical deformations and separation allows the calculation of final mass and kinetic-energy distributions, along with other interesting quantities. The model makes quantitative predictions for fragment mass and kinetic-energy yields, some of which are very close to measured ones. Varying the energy of the incident neutron for induced fission allows the prediction of energy dependencies of fragment yields and average kinetic energies. With a simple approximation for spontaneous fission starting conditions, quantitative predictions are made for

  3. Computer usage and national energy consumption: Results from a field-metering study

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

    Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery

    The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Baymore » Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated

  4. Evaluating the Value of High Spatial Resolution in National Capacity Expansion Models using ReEDS

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

    Krishnan, Venkat; Cole, Wesley

    2016-11-14

    Power sector capacity expansion models (CEMs) have a broad range of spatial resolutions. This paper uses the Regional Energy Deployment System (ReEDS) model, a long-term national scale electric sector CEM, to evaluate the value of high spatial resolution for CEMs. ReEDS models the United States with 134 load balancing areas (BAs) and captures the variability in existing generation parameters, future technology costs, performance, and resource availability using very high spatial resolution data, especially for wind and solar modeled at 356 resource regions. In this paper we perform planning studies at three different spatial resolutions--native resolution (134 BAs), state-level, and NERCmore » region level--and evaluate how results change under different levels of spatial aggregation in terms of renewable capacity deployment and location, associated transmission builds, and system costs. The results are used to ascertain the value of high geographically resolved models in terms of their impact on relative competitiveness among renewable energy resources.« less

  5. Nation's energy future. A report to Richard M. Nixon, President of the United States

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

    Ray, D.L.

    1973-12-01

    This report, developed under the general guidance of the Energy Policy Office, is in response to the directive of the President on June 29, 1973, to the Chairman of the Atomic Energy Commission to review Federal and private energy R and D and to recommend an integrated program for the Nation. The report is based largely on the results of: (1) a group of Energy Workshops organized under the sponsorship of Cornell University, (2) sixteen Technical Review Panels of 121 Federal employees from 36 Departments and Agencies assisted by 282 consultants from the private sector, and (3) an Overview Panelmore » that reviewed the results from the Workshops and Technical Panels. A draft of the report was sent to more than 100 individuals for comment, as well as to all concerned government Departments and Agencies. In addition, Dr. Ray consulted personally with numerous leaders in government, industry, and the scientific community throughout the period of the Report' s preparation. Specifically, the report recommends: (1) a national energy R and D program, (2) a five-year, billion Federal energy R and D program, and (3) the FY 1975 Federal budget for energy R and D. The recommended program, based on what is now known, is both necessary and sufficient to maximize energy R and D's contribution to the Nation's energy goals; even so, 1985 is the earliest date by which self-sufficiency can reasonably be expected. By 1980, the recommended program can reduce oil imports to half those currently projected; other extraordinary measures will be required to displace the other half. (LMT)« less

  6. Assumptions to the Annual Energy Outlook

    EIA Publications

    2017-01-01

    This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook, including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results.

  7. 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.)

  8. 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.)

  9. The Role of Model Fidelity in Understanding the Food-Energy-Water Nexus at the Asset Level

    NASA Astrophysics Data System (ADS)

    Tidwell, V. C.; Lowry, T. S.; Behery, S.; Macknick, J.; Yang, Y. C. E.

    2017-12-01

    An improved understanding of the food-energy-water nexus at the asset level (e.g., power plant, irrigation ditch, water utility) is necessary for the efficient management and operations of connected infrastructure systems. Interdependencies potentially influencing the operations of a particular asset can be numerous. For example, operations of energy and agricultural assets depend on the delivery of water, which in turn depend on the physical hydrology, river/reservoir operations, water rights, the networked water infrastructure and other factors. A critical challenge becomes identification of those linkages central to the analysis of the system. Toward this need, a case study was conducted centered on the San Juan River basin, a major tributary to the Colorado River. A unique opportunity was afforded by the availability of two sets of coupled models built on the same simulation platform but formulated at distinctly different fidelities. Comparative analysis was driven by statistically downscaled climate data from three global climate models (emission scenario RCP 8.5) and planned growth in regional water demand. Precipitation was partitioned between evaporation, runoff and recharge using the Variable Infiltration Capacity (VIC) hydrologic model. Priority administration of small-scale water use of upland tributary flows was simulated using Colorado's StateMod model. Mainstem operations of the San Juan River, including releases from Navajo Reservoir, were subsequently modeled using RiverWare to estimate impacts on water deliveries, environmental flows and interbasin transfers out to the year 2100. Models differ in the spatial resolution, disaggregation of water use, infrastructure operations and representation of system dynamics. Comparisons drawn between this suite of coupled models provides insight into the value of model fidelity relative to assessing asset vulnerability to a range of uncertain growth and climate futures. Sandia National Laboratories is a

  10. Transitioning the California Energy Commission Eligible Equipment List to a National Platform

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

    Truitt, Sarah; Nobler, Erin; Krasko, Vitaliy

    The Energy Commission called on the National Renewable Energy Laboratory's (NREL)'s Solar Technical Assistance Team to explore various pathways for supporting continued evolution of the list. NREL staff utilized the Database of State Incentives for Renewables and Efficiency (DSIRE), California Solar Initiative (CSI) data, and information from in-depth interviews to better understand the impact of a lack of an updated list and suggest potential solutions. A total of 18 people from state energy offices, rebate program administrators, utilities, national testing laboratories, private companies, nonprofit organizations, and the federal government were interviewed between July and September 2013. CSI data were analyzedmore » to illustrate the monetary benefits of the algorithm behind calculating performance of PV modules included on the list. The primary objectives of this study are to: 1) Determine the impact of not maintaining the list, and 2) Explore alternatives to the State of California's maintenance of the list.« less

  11. Water, Energy, and Food Nexus: Modeling of Inter-Basin Resources Trading

    NASA Astrophysics Data System (ADS)

    KIm, T. W.; Kang, D.; Wicaksono, A.; Jeong, G.; Jang, B. J.; Ahn, J.

    2016-12-01

    The water, energy, and food (WEF) nexus is an emerging issue in the concern of fulfilling the human requirements with a lack of available resources. The WEF nexus concept arises to develop a sustainable resources planning and management. In the concept, the three valuable resources (i.e. water, energy, and food) are inevitably interconnected thus it becomes a challenge for researchers to understand the complicated interdependency. A few studies have been committed for interpreting and implementing the WEF nexus using a computer based simulation model. Some of them mentioned that a trade-off is one alternative solution that can be taken to secure the available resources. Taking a concept of inter-basin water transfer, this study attempts to introduce an idea to develop a WEF nexus model for inter-basin resources trading simulation. Using the trading option among regions (e.g., cities, basins, or even countries), the model provides an opportunity to increase overall resources availability without draining local resources. The proposed model adopted the calculation process of an amount of water, energy, and food from a nation-wide model, with additional input and analysis process to simulate the resources trading between regions. The proposed model is applied for a hypothetic test area in South Korea for demonstration purposes. It is anticipated that the developed model can be a decision tool for efficient resources allocation for sustainable resources management. Acknowledgements This study was supported by a grant (14AWMP-B082564-01) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of the Korean government.

  12. Policy modeling for industrial energy use

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

    Worrell, Ernst; Park, Hi-Chun; Lee, Sang-Gon

    2003-03-01

    The international workshop on Policy Modeling for Industrial Energy Use was jointly organized by EETA (Professional Network for Engineering Economic Technology Analysis) and INEDIS (International Network for Energy Demand Analysis in the Industrial Sector). The workshop has helped to layout the needs and challenges to include policy more explicitly in energy-efficiency modeling. The current state-of-the-art models have a proven track record in forecasting future trends under conditions similar to those faced in the recent past. However, the future of energy policy in a climate-restrained world is likely to demand different and additional services to be provided by energy modelers. Inmore » this workshop some of the international models used to make energy consumption forecasts have been discussed as well as innovations to enable the modeling of policy scenarios. This was followed by the discussion of future challenges, new insights in the data needed to determine the inputs into energy model s, and methods to incorporate decision making and policy in the models. Based on the discussion the workshop participants came to the following conclusions and recommendations: Current energy models are already complex, and it is already difficult to collect the model inputs. Hence, new approaches should be transparent and not lead to extremely complex models that try to ''do everything''. The model structure will be determined by the questions that need to be answered. A good understanding of the decision making framework of policy makers and clear communication on the needs are essential to make any future energy modeling effort successful. There is a need to better understand the effects of policy on future energy use, emissions and the economy. To allow the inclusion of policy instruments in models, evaluation of programs and instruments is essential, and need to be included in the policy instrument design. Increased efforts are needed to better understand the effects of

  13. Domestic Wind Energy Workforce; NREL (National Renewable Energy Laboratory)

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

    Tegen, Suzanne

    2015-07-30

    A robust workforce is essential to growing domestic wind manufacturing capabilities. NREL researchers conducted research to better understand today's domestic wind workforce, projected needs for the future, and how existing and new education and training programs can meet future needs. This presentation provides an overview of this research and the accompanying industry survey, as well as the Energy Department's Career Maps, Jobs & Economic Development Impacts models, and the Wind for Schools project.

  14. Development of an estimation model for the evaluation of the energy requirement of dilute acid pretreatments of biomass.

    PubMed

    Mafe, Oluwakemi A T; Davies, Scott M; Hancock, John; Du, Chenyu

    2015-01-01

    This study aims to develop a mathematical model to evaluate the energy required by pretreatment processes used in the production of second generation ethanol. A dilute acid pretreatment process reported by National Renewable Energy Laboratory (NREL) was selected as an example for the model's development. The energy demand of the pretreatment process was evaluated by considering the change of internal energy of the substances, the reaction energy, the heat lost and the work done to/by the system based on a number of simplifying assumptions. Sensitivity analyses were performed on the solid loading rate, temperature, acid concentration and water evaporation rate. The results from the sensitivity analyses established that the solids loading rate had the most significant impact on the energy demand. The model was then verified with data from the NREL benchmark process. Application of this model on other dilute acid pretreatment processes reported in the literature illustrated that although similar sugar yields were reported by several studies, the energy required by the different pretreatments varied significantly.

  15. Video game console usage and US national energy consumption: Results from a field-metering study

    DOE PAGES

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy; ...

    2014-10-23

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates.more » We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.« less

  16. Video game console usage and US national energy consumption: Results from a field-metering study

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

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates.more » We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.« less

  17. The Response of Vocational Education to the National Energy Crisis. A Special Report.

    ERIC Educational Resources Information Center

    National Advisory Council on Vocational Education, Washington, DC.

    Rationale and recommendations are presented for vocational education's response to the national energy crisis in light of present involvement and future needs. The problem is stated in terms of the need for training programs in the newer energy technologies, including those related to conservation. Federal policies are outlined, specifically the…

  18. Energy Modeling for the Artisan Food Center

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

    Goel, Supriya

    2013-05-01

    The Artisan Food Center is a 6912 sq.ft food processing plant located in Dayton, Washington. PNNL was contacted by Strecker Engineering to assist with the building’s energy analysis as a part of the project’s U.S. Green Building Council’s Leadership in Energy and Environmental Design (LEED) submittal requirements. The project is aiming for LEED Silver certification, one of the prerequisites to which is a whole building energy model to demonstrate compliance with American Society of Heating Refrigeration and Air Conditioning Engineers (ASHRAE) 90.1 2007 Appendix G, Performance Rating Method. The building incorporates a number of energy efficiency measures as part ofmore » its design and the energy analysis aimed at providing Strecker Engineering with the know-how of developing an energy model for the project as well as an estimate of energy savings of the proposed design over the baseline design, which could be used to document points in the LEED documentation. This report documents the ASHRAE 90.1 2007 baseline model design, the proposed model design, the modeling assumptions and procedures as well as the energy savings results in order to inform the Strecker Engineering team on a possible whole building energy model.« less

  19. Proceedings of a symposium on the elements of a national energy policy and dedication of Raymond C. Moore Hall, September 28--29, 1973

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

    Waldron, G.A.

    1973-01-01

    The symposium was convened to dedicate the new Kansas Geological Survey building at the University of Kansas and conduct an exchange of ideas on the elements of a national energy policy. Dr. William W. Hambleton presented the introductory speech. Papers presented were: The elements of a national energy policy, Merrill W. Haas; A national energy policy - what should it include, Dr. Wilson M. Laird; Elements of a national energy policy, John D. Emerson, National energy policy and environmental quality, Dr. Beatrice E. Willard; Energy and the environment, Jerome H. Svore; A congressional point of view on energy policy, Senatormore » Clifford P. Hansen; and The time element in a national energy policy, Governor Robert D. Ray of Iowa. The dedication program followed. (MCW)« less

  20. The difference between energy consumption and energy cost: Modelling energy tariff structures for water resource recovery facilities.

    PubMed

    Aymerich, I; Rieger, L; Sobhani, R; Rosso, D; Corominas, Ll

    2015-09-15

    The objective of this paper is to demonstrate the importance of incorporating more realistic energy cost models (based on current energy tariff structures) into existing water resource recovery facilities (WRRFs) process models when evaluating technologies and cost-saving control strategies. In this paper, we first introduce a systematic framework to model energy usage at WRRFs and a generalized structure to describe energy tariffs including the most common billing terms. Secondly, this paper introduces a detailed energy cost model based on a Spanish energy tariff structure coupled with a WRRF process model to evaluate several control strategies and provide insights into the selection of the contracted power structure. The results for a 1-year evaluation on a 115,000 population-equivalent WRRF showed monthly cost differences ranging from 7 to 30% when comparing the detailed energy cost model to an average energy price. The evaluation of different aeration control strategies also showed that using average energy prices and neglecting energy tariff structures may lead to biased conclusions when selecting operating strategies or comparing technologies or equipment. The proposed framework demonstrated that for cost minimization, control strategies should be paired with a specific optimal contracted power. Hence, the design of operational and control strategies must take into account the local energy tariff. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. United States Department of Energy National Nuclear Security Administration Sandia Field Office NESHAP Annual Report CY2014 for Sandia National Laboratories New Mexico

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

    evelo, stacie; Miller, Mark L.

    2015-05-01

    This report provides a summary of the radionuclide releases from the United States (U.S.) Department of Energy (DOE) National Nuclear Security Administration facilities at Sandia National Laboratories, New Mexico (SNL/NM) during Calendar Year (CY) 2014, including the data, calculations, and supporting documentation for demonstrating compliance with 40 Code of Federal Regulation (CFR) 61, Subpart H--NATIONAL EMISSION STANDARDS FOR EMISSIONS OF RADIONUCLIDES OTHER THAN RADON FROM DEPARTMENT OF ENERGY FACILITIES. A description is given of the sources and their contributions to the overall dose assessment. In addition, the maximally exposed individual (MEI) radiological dose calculation and the population dose to localmore » and regional residents are discussed.« less

  2. NOAA's National Water Model - Integration of National Water Model with Geospatial Data creating Water Intelligence

    NASA Astrophysics Data System (ADS)

    Clark, E. P.; Cosgrove, B.; Salas, F.

    2016-12-01

    As a significant step forward to transform NOAA's water prediction services, NOAA plans to implement a new National Water Model (NWM) Version 1.0 in August 2016. A continental scale water resources model, the NWM is an evolution of the WRF-Hydro architecture developed by the National Center for Atmospheric Research (NCAR). The NWM will provide analyses and forecasts of flow for the 2.7 million stream reaches nationwide in the National Hydrography Dataset Plus v2 (NHDPlusV2) jointly developed by the USGS and EPA. The NWM also produces high-resolution water budget variables of snow, soil moisture, and evapotranspiration on a 1-km grid. NOAA's stakeholders require additional decision support application to be built on these data. The Geo-intelligence division of the Office of Water Prediction is building new products and services that integrate output from the NWM with geospatial datasets such as infrastructure and demographics to better estimate the impacts dynamic water resource states on community resiliency. This presentation will detail the methods and underlying information to produce prototypes water resources intelligence that is timely, actionable and credible. Moreover, it will to explore the NWM capability to support sector-specific decision support services.

  3. Comparing primary energy attributed to renewable energy with primary energy equivalent to determine carbon abatement in a national context.

    PubMed

    Gallachóir, Brian P O; O'Leary, Fergal; Bazilian, Morgan; Howley, Martin; McKeogh, Eamon J

    2006-01-01

    The current conventional approach to determining the primary energy associated with non-combustible renewable energy (RE) sources such as wind energy and hydro power is to equate the electricity generated from these sources with the primary energy supply. This paper compares this with an approach that was formerly used by the IEA, in which the primary energy equivalent attributed to renewable energy was equated with the fossil fuel energy it displaces. Difficulties with implementing this approach in a meaningful way for international comparisons lead to most international organisations abandoning the primary energy equivalent methodology. It has recently re-emerged in prominence however, as efforts grow to develop baseline procedures for quantifying the greenhouse gas (GHG) emissions avoided by renewable energy within the context of the Kyoto Protocol credit trading mechanisms. This paper discusses the primary energy equivalent approach and in particular the distinctions between displacing fossil fuel energy in existing plant or in new plant. The approach is then extended provide insight into future primary energy displacement by renewable energy and to quantify the amount of CO2 emissions avoided by renewable energy. The usefulness of this approach in quantifying the benefits of renewable energy is also discussed in an energy policy context, with regard to increasing security of energy supply as well as reducing energy-related GHG (and other) emissions. The approach is applied in a national context and Ireland is case study country selected for this research. The choice of Ireland is interesting in two respects. The first relates to the high proportion of electricity only fossil fuel plants in Ireland resulting in a significant variation between primary energy and primary energy equivalent. The second concerns Ireland's poor performance to date in limiting GHG emissions in line with its Kyoto target and points to the need for techniques to quantify the potential

  4. The regionalization of national-scale SPARROW models for stream nutrients

    USGS Publications Warehouse

    Schwarz, Gregory E.; Alexander, Richard B.; Smith, Richard A.; Preston, Stephen D.

    2011-01-01

    This analysis modifies the parsimonious specification of recently published total nitrogen (TN) and total phosphorus (TP) national-scale SPAtially Referenced Regressions On Watershed attributes models to allow each model coefficient to vary geographically among three major river basins of the conterminous United States. Regionalization of the national models reduces the standard errors in the prediction of TN and TP loads, expressed as a percentage of the predicted load, by about 6 and 7%. We develop and apply a method for combining national-scale and regional-scale information to estimate a hybrid model that imposes cross-region constraints that limit regional variation in model coefficients, effectively reducing the number of free model parameters as compared to a collection of independent regional models. The hybrid TN and TP regional models have improved model fit relative to the respective national models, reducing the standard error in the prediction of loads, expressed as a percentage of load, by about 5 and 4%. Only 19% of the TN hybrid model coefficients and just 2% of the TP hybrid model coefficients show evidence of substantial regional specificity (more than ±100% deviation from the national model estimate). The hybrid models have much greater precision in the estimated coefficients than do the unconstrained regional models, demonstrating the efficacy of pooling information across regions to improve regional models.

  5. Overview of the National Energy-Water System (NEWS) Assessment Framework Study

    NASA Astrophysics Data System (ADS)

    Vorosmarty, C. J.; Miara, A.; Rosenzweig, B.; Corsi, F.; Piasecki, M.; Celicourt, P.; Fekete, B. M.; Macknick, J.; Melillo, J. M.; Newmark, R. L.; Tidwell, V. C.; Suh, S.; Prousevitch, A.

    2015-12-01

    In practical terms, strategic planning for the nation's economic, social and environmental future increasingly centers on issues relating to fresh water. U.S. energy security is highly dependent on electricity generated by the nation's fleet of thermoelectric power stations, which today contribute 90% to total electricity production. This presentation summarizes the overall structure and recent progress on a study devoted to climate adaptation and the reliability of power sector infrastructure and operations, when viewed through the lens of strategic water issues. The focus is on electric power infrastructure, i.e., the types, spatial distributions and levels of investment in technologies that deliver or could deliver electricity to the U.S. economy. The work is guided by a central hypothesis, that today's portfolio of electric power sector infrastructure is unsustainable in the context of satisfying its water needs under anticipated climate change and rising electricity demands. Insofar as water-mediated feedbacks reverberate throughout the national economy, we include macro-economic perspectives as well. The work is organized around the technical development of the NEWS framework which is then used to evaluate, in the context of anticipated climate, economic change and regulatory context: the performance of the nation's electricity sector, the feasibility of alternative pathways to improve climate adaptation, and impacts of energy technology. Scenarios are co-designed with a stakeholder community, and investment tradeoffs are considered with respect to the productivity of the economy, water availability and aquatic ecosystem condition.

  6. National Mobile Inventory Model (NMIM)

    EPA Pesticide Factsheets

    The National Mobile Inventory Model (NMIM) is a free, desktop computer application developed by EPA to help you develop estimates of current and future emission inventories for on-road motor vehicles and nonroad equipment. To learn more search the archive

  7. Trip Energy Estimation Methodology and Model Based on Real-World Driving Data for Green Routing Applications: Preprint

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

    Holden, Jacob; Van Til, Harrison J; Wood, Eric W

    A data-informed model to predict energy use for a proposed vehicle trip has been developed in this paper. The methodology leverages nearly 1 million miles of real-world driving data to generate the estimation model. Driving is categorized at the sub-trip level by average speed, road gradient, and road network geometry, then aggregated by category. An average energy consumption rate is determined for each category, creating an energy rates look-up table. Proposed vehicle trips are then categorized in the same manner, and estimated energy rates are appended from the look-up table. The methodology is robust and applicable to almost any typemore » of driving data. The model has been trained on vehicle global positioning system data from the Transportation Secure Data Center at the National Renewable Energy Laboratory and validated against on-road fuel consumption data from testing in Phoenix, Arizona. The estimation model has demonstrated an error range of 8.6% to 13.8%. The model results can be used to inform control strategies in routing tools, such as change in departure time, alternate routing, and alternate destinations to reduce energy consumption. This work provides a highly extensible framework that allows the model to be tuned to a specific driver or vehicle type.« less

  8. Modeling down-scattered neutron images from cryogenic fuel implosions at the National Ignition Facility

    NASA Astrophysics Data System (ADS)

    Raman, Kumar; Casey, Dan; Callahan, Debra; Clark, Dan; Fittinghoff, David; Grim, Gary; Hatchett, Steve; Hinkel, Denise; Jones, Ogden; Kritcher, Andrea; Seek, Scott; Suter, Larry; Merrill, Frank; Wilson, Doug

    2016-10-01

    In experiments with cryogenic deuterium-tritium (DT) fuel layers at the National Ignition Facility (NIF), an important technique for visualizing the stagnated fuel assembly is to image the 6-12 MeV neutrons created by scatters of the 14 MeV hotspot neutrons in the surrounding cold fuel. However, such down-scattered neutron images are difficult to interpret without a model of the fuel assembly, because of the nontrivial neutron kinematics involved in forming the images. For example, the dominant scattering modes are at angles other than forward scattering and the 14 MeV neutron fluence is not uniform. Therefore, the intensity patterns in these images usually do not correspond in a simple way to patterns in the fuel distribution, even for simple fuel distributions. We describe our efforts to model synthetic images from ICF design simulations with data from the National Ignition Campaign and after. We discuss the insight this gives, both to understand how well the models are predicting fuel asymmetries and to inform how to optimize the diagnostic for the types of fuel distributions being predicted. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

  9. Hydrogen Energy Storage (HES) and Power-to-Gas Economic Analysis; NREL (National Renewable Energy Laboratory)

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

    Eichman, Joshua

    This presentation summarizes opportunities for hydrogen energy storage and power-to-gas and presents the results of a market analysis performed by the National Renewable Energy Laboratory to quantify the value of energy storage. Hydrogen energy storage and power-to-gas systems have the ability to integrate multiple energy sectors including electricity, transportation, and industrial. On account of the flexibility of hydrogen systems, there are a variety of potential system configurations. Each configuration will provide different value to the owner, customers and grid system operator. This presentation provides an economic comparison of hydrogen storage, power-to-gas and conventional storage systems. The total cost is comparedmore » to the revenue with participation in a variety of markets to assess the economic competitiveness. It is found that the sale of hydrogen for transportation or industrial use greatly increases competitiveness. Electrolyzers operating as demand response devices (i.e., selling hydrogen and grid services) are economically competitive, while hydrogen storage that inputs electricity and outputs only electricity have an unfavorable business case. Additionally, tighter integration with the grid provides greater revenue (e.g., energy, ancillary service and capacity markets are explored). Lastly, additional hours of storage capacity is not necessarily more competitive in current energy and ancillary service markets and electricity markets will require new mechanisms to appropriately compensate long duration storage devices.« less

  10. Multi-scale Eulerian model within the new National Environmental Modeling System

    NASA Astrophysics Data System (ADS)

    Janjic, Zavisa; Janjic, Tijana; Vasic, Ratko

    2010-05-01

    The unified Non-hydrostatic Multi-scale Model on the Arakawa B grid (NMMB) is being developed at NCEP within the National Environmental Modeling System (NEMS). The finite-volume horizontal differencing employed in the model preserves important properties of differential operators and conserves a variety of basic and derived dynamical and quadratic quantities. Among these, conservation of energy and enstrophy improves the accuracy of nonlinear dynamics of the model. Within further model development, advection schemes of fourth order of formal accuracy have been developed. It is argued that higher order advection schemes should not be used in the thermodynamic equation in order to preserve consistency with the second order scheme used for computation of the pressure gradient force. Thus, the fourth order scheme is applied only to momentum advection. Three sophisticated second order schemes were considered for upgrade. Two of them, proposed in Janjic(1984), conserve energy and enstrophy, but with enstrophy calculated differently. One of them conserves enstrophy as computed by the most accurate second order Laplacian operating on stream function. The other scheme conserves enstrophy as computed from the B grid velocity. The third scheme (Arakawa 1972) is arithmetic mean of the former two. It does not conserve enstrophy strictly, but it conserves other quadratic quantities that control the nonlinear energy cascade. Linearization of all three schemes leads to the same second order linear advection scheme. The second order term of the truncation error of the linear advection scheme has a special form so that it can be eliminated by simply preconditioning the advected quantity. Tests with linear advection of a cone confirm the advantage of the fourth order scheme. However, if a localized, large amplitude and high wave-number pattern is present in initial conditions, the clear advantage of the fourth order scheme disappears. In real data runs, problems with noisy data may

  11. National Energy Efficiency Evaluation, Measurement and Verification (EM&V) Standard: Scoping Study of Issues and Implementation Requirements

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

    Schiller Consulting, Inc.; Schiller, Steven R.; Goldman, Charles A.

    2011-02-04

    This report is a scoping study that identifies issues associated with developing a national evaluation, measurement and verification (EM&V) standard for end-use, non-transportation, energy efficiency activities. The objectives of this study are to identify the scope of such a standard and define EM&V requirements and issues that will need to be addressed in a standard. To explore these issues, we provide and discuss: (1) a set of definitions applicable to an EM&V standard; (2) a literature review of existing guidelines, standards, and 'initiatives' relating to EM&V standards as well as a review of 'bottom-up' versus 'top-down' evaluation approaches; (3) amore » summary of EM&V related provisions of two recent federal legislative proposals (Congressman Waxman's and Markey's American Clean Energy and Security Act of 2009 and Senator Bingaman's American Clean Energy Leadership Act of 2009) that include national efficiency resource requirements; (4) an annotated list of issues that that are likely to be central to, and need to be considered when, developing a national EM&V standard; and (5) a discussion of the implications of such issues. There are three primary reasons for developing a national efficiency EM&V standard. First, some policy makers, regulators and practitioners believe that a national standard would streamline EM&V implementation, reduce costs and complexity, and improve comparability of results across jurisdictions; although there are benefits associated with each jurisdiction setting its own EM&V requirements based on their specific portfolio and evaluation budgets and objectives. Secondly, if energy efficiency is determined by the US Environmental Protection Agency to be a Best Available Control Technology (BACT) for avoiding criteria pollutant and/or greenhouse gas emissions, then a standard can be required for documenting the emission reductions resulting from efficiency actions. The third reason for a national EM&V standard is that such a

  12. The Regionalization of National-Scale SPARROW Models for Stream Nutrients

    USGS Publications Warehouse

    Schwarz, G.E.; Alexander, R.B.; Smith, R.A.; Preston, S.D.

    2011-01-01

    This analysis modifies the parsimonious specification of recently published total nitrogen (TN) and total phosphorus (TP) national-scale SPAtially Referenced Regressions On Watershed attributes models to allow each model coefficient to vary geographically among three major river basins of the conterminous United States. Regionalization of the national models reduces the standard errors in the prediction of TN and TP loads, expressed as a percentage of the predicted load, by about 6 and 7%. We develop and apply a method for combining national-scale and regional-scale information to estimate a hybrid model that imposes cross-region constraints that limit regional variation in model coefficients, effectively reducing the number of free model parameters as compared to a collection of independent regional models. The hybrid TN and TP regional models have improved model fit relative to the respective national models, reducing the standard error in the prediction of loads, expressed as a percentage of load, by about 5 and 4%. Only 19% of the TN hybrid model coefficients and just 2% of the TP hybrid model coefficients show evidence of substantial regional specificity (more than ??100% deviation from the national model estimate). The hybrid models have much greater precision in the estimated coefficients than do the unconstrained regional models, demonstrating the efficacy of pooling information across regions to improve regional models. ?? 2011 American Water Resources Association. This article is a U.S. Government work and is in the public domain in the USA.

  13. Comparison of Building Energy Modeling Programs: Building Loads

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

    Zhu, Dandan; Hong, Tianzhen; Yan, Da

    This technical report presented the methodologies, processes, and results of comparing three Building Energy Modeling Programs (BEMPs) for load calculations: EnergyPlus, DeST and DOE-2.1E. This joint effort, between Lawrence Berkeley National Laboratory, USA and Tsinghua University, China, was part of research projects under the US-China Clean Energy Research Center on Building Energy Efficiency (CERC-BEE). Energy Foundation, an industrial partner of CERC-BEE, was the co-sponsor of this study work. It is widely known that large discrepancies in simulation results can exist between different BEMPs. The result is a lack of confidence in building simulation amongst many users and stakeholders. In themore » fields of building energy code development and energy labeling programs where building simulation plays a key role, there are also confusing and misleading claims that some BEMPs are better than others. In order to address these problems, it is essential to identify and understand differences between widely-used BEMPs, and the impact of these differences on load simulation results, by detailed comparisons of these BEMPs from source code to results. The primary goal of this work was to research methods and processes that would allow a thorough scientific comparison of the BEMPs. The secondary goal was to provide a list of strengths and weaknesses for each BEMP, based on in-depth understandings of their modeling capabilities, mathematical algorithms, advantages and limitations. This is to guide the use of BEMPs in the design and retrofit of buildings, especially to support China’s building energy standard development and energy labeling program. The research findings could also serve as a good reference to improve the modeling capabilities and applications of the three BEMPs. The methodologies, processes, and analyses employed in the comparison work could also be used to compare other programs. The load calculation method of each program was analyzed and compared

  14. Alternative Fuels Data Center: Clean Cities Helps National Parks Model

    Science.gov Websites

    Sustainable Transportation Clean Cities Helps National Parks Model Sustainable Transportation to someone by E-mail Share Alternative Fuels Data Center: Clean Cities Helps National Parks Model Sustainable Transportation on Facebook Tweet about Alternative Fuels Data Center: Clean Cities Helps National

  15. National Renewable Energy Laboratory (NREL) Topic 2 Final Report: End-to-End Communication and Control System to Support Clean Energy Technologies

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

    Hudgins, Andrew P.; Carrillo, Ismael M.; Jin, Xin

    This document is the final report of a two-year development, test, and demonstration project, 'Cohesive Application of Standards- Based Connected Devices to Enable Clean Energy Technologies.' The project was part of the National Renewable Energy Laboratory's (NREL's) Integrated Network Testbed for Energy Grid Research and Technology (INTEGRATE) initiative hosted at Energy Systems Integration Facility (ESIF). This project demonstrated techniques to control distribution grid events using the coordination of traditional distribution grid devices and high-penetration renewable resources and demand response. Using standard communication protocols and semantic standards, the project examined the use cases of high/low distribution voltage, requests for volt-ampere-reactive (VAR)more » power support, and transactive energy strategies using Volttron. Open source software, written by EPRI to control distributed energy resources (DER) and demand response (DR), was used by an advanced distribution management system (ADMS) to abstract the resources reporting to a collection of capabilities rather than needing to know specific resource types. This architecture allows for scaling both horizontally and vertically. Several new technologies were developed and tested. Messages from the ADMS based on the common information model (CIM) were developed to control the DER and DR management systems. The OpenADR standard was used to help manage grid events by turning loads off and on. Volttron technology was used to simulate a homeowner choosing the price at which to enter the demand response market. Finally, the ADMS used newly developed algorithms to coordinate these resources with a capacitor bank and voltage regulator to respond to grid events.« less

  16. Dynamic energy models and carbon mitigation policies

    NASA Astrophysics Data System (ADS)

    Tilley, Luke A.

    In this dissertation I examine a specific class of energy models and their implications for carbon mitigation policies. The class of models includes a production function capable of reproducing the empirically observed phenomenon of short run rigidity of energy use in response to energy price changes and long run exibility of energy use in response to energy price changes. I use a theoretical model, parameterized using empirical data, to simulate economic performance under several tax regimes where taxes are levied on capital income, investment, and energy. I also investigate transitions from one tax regime to another. I find that energy taxes intended to reduce energy use can successfully achieve those goals with minimal or even positive impacts on macroeconomic performance. But the transition paths to new steady states are lengthy, making political commitment to such policies very challenging.

  17. Energy Frontier Research Centers: Science for Our Nation's Energy Future, September 2016

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

    None, None

    As world demand for energy rapidly expands, transforming the way energy is collected, stored, and used has become a defining challenge of the 21st century. At its heart, this challenge is a scientific one, inspiring the U.S. Department of Energy’s (DOE) Office of Basic Energy Sciences (BES) to establish the Energy Frontier Research Center (EFRC) program in 2009. The EFRCs represent a unique approach, bringing together creative, multidisciplinary scientific teams to perform energy-relevant basic research with a complexity beyond the scope of single-investigator projects. These centers take full advantage of powerful new tools for characterizing, understanding, modeling, and manipulating mattermore » from atomic to macroscopic length scales. They also train the next-generation scientific workforce by attracting talented students and postdoctoral researchers interested in energy science. The EFRCs have collectively demonstrated the potential to substantially advance the scientific understanding underpinning transformational energy technologies. Both a BES Committee of Visitors and a Secretary of Energy Advisory Board Task Force have found the EFRC program to be highly successful in meeting its goals. The scientific output from the EFRCs is impressive, and many centers have reported that their results are already impacting both technology research and industry. This report on the EFRC program includes selected highlights from the initial 46 EFRCs and the current 36 EFRCs.« less

  18. Visual prosthesis wireless energy transfer system optimal modeling.

    PubMed

    Li, Xueping; Yang, Yuan; Gao, Yong

    2014-01-16

    Wireless energy transfer system is an effective way to solve the visual prosthesis energy supply problems, theoretical modeling of the system is the prerequisite to do optimal energy transfer system design. On the basis of the ideal model of the wireless energy transfer system, according to visual prosthesis application condition, the system modeling is optimized. During the optimal modeling, taking planar spiral coils as the coupling devices between energy transmitter and receiver, the effect of the parasitic capacitance of the transfer coil is considered, and especially the concept of biological capacitance is proposed to consider the influence of biological tissue on the energy transfer efficiency, resulting in the optimal modeling's more accuracy for the actual application. The simulation data of the optimal model in this paper is compared with that of the previous ideal model, the results show that under high frequency condition, the parasitic capacitance of inductance and biological capacitance considered in the optimal model could have great impact on the wireless energy transfer system. The further comparison with the experimental data verifies the validity and accuracy of the optimal model proposed in this paper. The optimal model proposed in this paper has a higher theoretical guiding significance for the wireless energy transfer system's further research, and provide a more precise model reference for solving the power supply problem in visual prosthesis clinical application.

  19. Surface Water and Energy Budgets for Sub-Saharan Africa in GFDL Coupled Climate Model

    NASA Astrophysics Data System (ADS)

    Tian, D.; Wood, E. F.; Vecchi, G. A.; Jia, L.; Pan, M.

    2015-12-01

    This study compare surface water and energy budget variables from the Geophysical Fluid Dynamics Laboratory (GFDL) FLOR models with the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR), Princeton University Global Meteorological Forcing Dataset (PGF), and PGF-driven Variable Infiltration Capacity (VIC) model outputs, as well as available observations over the sub-Saharan Africa. The comparison was made for four configurations of the FLOR models that included FLOR phase 1 (FLOR-p1) and phase 2 (FLOR-p2) and two phases of flux adjusted versions (FLOR-FA-p1 and FLOR-FA-p2). Compared to p1, simulated atmospheric states in p2 were nudged to the Modern-Era Retrospective Analysis for Research and Applications (MERRA) reanalysis. The seasonal cycle and annual mean of major surface water (precipitation, evapotranspiration, runoff, and change of storage) and energy variables (sensible heat, ground heat, latent heat, net solar radiation, net longwave radiation, and skin temperature) over a 34-yr period during 1981-2014 were compared in different regions in sub-Saharan Africa (West Africa, East Africa, and Southern Africa). In addition to evaluating the means in three sub-regions, empirical orthogonal functions (EOFs) analyses were conducted to compare both spatial and temporal characteristics of water and energy budget variables from four versions of GFDL FLOR, NCEP CFSR, PGF, and VIC outputs. This presentation will show how well each coupled climate model represented land surface physics and reproduced spatiotemporal characteristics of surface water and energy budget variables. We discuss what caused differences in surface water and energy budgets in land surface components of coupled climate model, climate reanalysis, and reanalysis driven land surface model. The comparisons will reveal whether flux adjustment and nudging would improve depiction of the surface water and energy budgets in coupled climate models.

  20. Wavelength-detuning cross-beam energy transfer mitigation scheme for direct drive: Modeling and evidence from National Ignition Facility implosions

    DOE PAGES

    Marozas, J. A.; Hohenberger, M.; Rosenberg, M. J.; ...

    2018-05-25

    Here, cross-beam energy transfer (CBET) results from two-beam energy exchange via seeded stimulated Brillouin scattering, which detrimentally reduces laser-energy absorption for direct-drive inertial confinement fusion. Consequently, ablation pressure and implosion velocity suffer from the decreased absorption, reducing target performance in both symmetric and polar direct drive. Additionally, CBET alters the time-resolved scattered-light spectra and redistributes absorbed and scattered-light–changing shell morphology and low-mode drive symmetry. Mitigating CBET is demonstrated in inertial confinement implosions at the National Ignition Facility by detuning the laser-source wavelengths (±2.3 Å UV) of the interacting beams. In polar direct drive, wavelength detuning was shown to increase themore » equatorial region velocity experimentally by 16% and to alter the in-flight shell morphology. These experimental observations are consistent with design predictions of radiation–hydrodynamic simulations that indicate a 10% increase in the average ablation pressure. These results indicate that wavelength detuning successfully mitigates CBET. Simulations predict that optimized phase plates and wavelength-detuning CBET mitigation utilizing the three-legged beam layout of the OMEGA Laser System significantly increase absorption and achieve >100-Gbar hot-spot pressures in symmetric direct drive.« less

  1. Wavelength-detuning cross-beam energy transfer mitigation scheme for direct drive: Modeling and evidence from National Ignition Facility implosions

    NASA Astrophysics Data System (ADS)

    Marozas, J. A.; Hohenberger, M.; Rosenberg, M. J.; Turnbull, D.; Collins, T. J. B.; Radha, P. B.; McKenty, P. W.; Zuegel, J. D.; Marshall, F. J.; Regan, S. P.; Sangster, T. C.; Seka, W.; Campbell, E. M.; Goncharov, V. N.; Bowers, M. W.; Di Nicola, J.-M. G.; Erbert, G.; MacGowan, B. J.; Pelz, L. J.; Moody, J.; Yang, S. T.

    2018-05-01

    Cross-beam energy transfer (CBET) results from two-beam energy exchange via seeded stimulated Brillouin scattering, which detrimentally reduces laser-energy absorption for direct-drive inertial confinement fusion. Consequently, ablation pressure and implosion velocity suffer from the decreased absorption, reducing target performance in both symmetric and polar direct drive. Additionally, CBET alters the time-resolved scattered-light spectra and redistributes absorbed and scattered-light-changing shell morphology and low-mode drive symmetry. Mitigating CBET is demonstrated in inertial confinement implosions at the National Ignition Facility by detuning the laser-source wavelengths (±2.3 Å UV) of the interacting beams. In polar direct drive, wavelength detuning was shown to increase the equatorial region velocity experimentally by 16% and to alter the in-flight shell morphology. These experimental observations are consistent with design predictions of radiation-hydrodynamic simulations that indicate a 10% increase in the average ablation pressure. These results indicate that wavelength detuning successfully mitigates CBET. Simulations predict that optimized phase plates and wavelength-detuning CBET mitigation utilizing the three-legged beam layout of the OMEGA Laser System significantly increase absorption and achieve >100-Gbar hot-spot pressures in symmetric direct drive.

  2. Wavelength-detuning cross-beam energy transfer mitigation scheme for direct drive: Modeling and evidence from National Ignition Facility implosions

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

    Marozas, J. A.; Hohenberger, M.; Rosenberg, M. J.

    Here, cross-beam energy transfer (CBET) results from two-beam energy exchange via seeded stimulated Brillouin scattering, which detrimentally reduces laser-energy absorption for direct-drive inertial confinement fusion. Consequently, ablation pressure and implosion velocity suffer from the decreased absorption, reducing target performance in both symmetric and polar direct drive. Additionally, CBET alters the time-resolved scattered-light spectra and redistributes absorbed and scattered-light–changing shell morphology and low-mode drive symmetry. Mitigating CBET is demonstrated in inertial confinement implosions at the National Ignition Facility by detuning the laser-source wavelengths (±2.3 Å UV) of the interacting beams. In polar direct drive, wavelength detuning was shown to increase themore » equatorial region velocity experimentally by 16% and to alter the in-flight shell morphology. These experimental observations are consistent with design predictions of radiation–hydrodynamic simulations that indicate a 10% increase in the average ablation pressure. These results indicate that wavelength detuning successfully mitigates CBET. Simulations predict that optimized phase plates and wavelength-detuning CBET mitigation utilizing the three-legged beam layout of the OMEGA Laser System significantly increase absorption and achieve >100-Gbar hot-spot pressures in symmetric direct drive.« less

  3. Comparison of dark energy models after Planck 2015

    NASA Astrophysics Data System (ADS)

    Xu, Yue-Yao; Zhang, Xin

    2016-11-01

    We make a comparison for ten typical, popular dark energy models according to their capabilities of fitting the current observational data. The observational data we use in this work include the JLA sample of type Ia supernovae observation, the Planck 2015 distance priors of cosmic microwave background observation, the baryon acoustic oscillations measurements, and the direct measurement of the Hubble constant. Since the models have different numbers of parameters, in order to make a fair comparison, we employ the Akaike and Bayesian information criteria to assess the worth of the models. The analysis results show that, according to the capability of explaining observations, the cosmological constant model is still the best one among all the dark energy models. The generalized Chaplygin gas model, the constant w model, and the α dark energy model are worse than the cosmological constant model, but still are good models compared to others. The holographic dark energy model, the new generalized Chaplygin gas model, and the Chevalliear-Polarski-Linder model can still fit the current observations well, but from an economically feasible perspective, they are not so good. The new agegraphic dark energy model, the Dvali-Gabadadze-Porrati model, and the Ricci dark energy model are excluded by the current observations.

  4. Method for modeling social care processes for national information exchange.

    PubMed

    Miettinen, Aki; Mykkänen, Juha; Laaksonen, Maarit

    2012-01-01

    Finnish social services include 21 service commissions of social welfare including Adoption counselling, Income support, Child welfare, Services for immigrants and Substance abuse care. This paper describes the method used for process modeling in the National project for IT in Social Services in Finland (Tikesos). The process modeling in the project aimed to support common national target state processes from the perspective of national electronic archive, increased interoperability between systems and electronic client documents. The process steps and other aspects of the method are presented. The method was developed, used and refined during the three years of process modeling in the national project.

  5. Petroleum Market Model of the National Energy Modeling System. Part 1

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

    NONE

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcoholsmore » and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.« less

  6. Center For Advanced Energy Studies Overview

    ScienceCinema

    Blackman, Harold; Curnutt, Byron; Harker, Caitlin; Hamilton, Melinda; Butt, Darryl; Imel, George; Tokuhiro, Akira; Harris, Jason; Hill, David

    2017-12-09

    A collaboration between Idaho National Laboratory, Boise State University, Idaho State University and the University of Idaho. Conducts research in nuclear energy, advanced materials, carbon management, bioenergy, energy policy, modeling and simulation, and energy efficiency. Educates next generation of energy workforce.

  7. The National Ignition Facility Status and Plans for Laser Fusion and High Energy Density Experimental Studies

    NASA Astrophysics Data System (ADS)

    Wuest, Craig R.

    2001-03-01

    The National Ignition Facility (NIF) currently under construction at the University of California Lawrence Livermore National Laboratory is 192-beam, 1.8 Megajoule, 500 Terawatt, 351 nm laser for inertial confinement fusion and high energy density experimental studies. NIF is being built by the Department of Energy and the National Nuclear Security Agency to provide an experimental test bed for the US Stockpile Stewardship Program to ensure the country’s nuclear deterrent without underground nuclear testing. The experimental program for NIF will encompass a wide range of physical phenomena from fusion energy production to materials science. Of the roughly 700 shots available per year, about 10% of the shots will be dedicated to basic science research. Additionally, most of the shots on NIF will be conducted in unclassified configurations that will allow participation from the greater scientific community in planned applied physics experiments. This presentation will provide a look at the status of the construction project as well as a description of the scientific uses of NIF. NIF is currently scheduled to provide first light in 2004 and will be completed in 2008. This work was performed under the auspices of the U.S. Department of Energy by University of California Lawrence Livermore National Laboratory under contract No. W-7405-Eng-48.

  8. National education program for energy efficient illumination engineering

    NASA Astrophysics Data System (ADS)

    Walker, Constance E.; Pompea, Stephen M.

    2011-05-01

    About one-third of outdoor lighting escapes unused into the sky, wasting energy and causing sky glow. Because of excessive sky glow around astronomical facilities, the National Optical Astronomy Observatory has a strong motivation to lead light pollution education efforts. While our original motivation of preserving the dark skies near observatories is still important, energy conservation is a critical problem that needs to be addressed nationwide. To address this problem we have created an extensive educational program on understanding and measuring light pollution. A set of four learning experiences introduces school students at all grade levels to basic energy-responsive illumination engineering design principles that can minimize light pollution. We created and utilize the GLOBE at Night citizen science light pollution assessment campaign as a cornerstone activity. We also utilize educational activities on light shielding that are introduced through a teaching kit. These two components provide vocabulary, concepts, and visual illustrations of the causes of light pollution. The third, more advanced component is the school outdoor lighting audit, which has students perform an audit and produce a revised master plan for compliant lighting. These learning experiences provide an integrated learning unit that is highly adaptable for U.S. and international education efforts in this area.

  9. Vacuum energy from noncommutative models

    NASA Astrophysics Data System (ADS)

    Mignemi, S.; Samsarov, A.

    2018-04-01

    The vacuum energy is computed for a scalar field in a noncommutative background in several models of noncommutative geometry. One may expect that the noncommutativity introduces a natural cutoff on the ultraviolet divergences of field theory. Our calculations show however that this depends on the particular model considered: in some cases the divergences are suppressed and the vacuum energy is only logarithmically divergent, in other cases they are stronger than in the commutative theory.

  10. Modeling the effects of involvement and attitudes on energy industry pursuit intentions: A systems analysis of the university-industry environment

    NASA Astrophysics Data System (ADS)

    Gross, Jordan M.

    The energy industry's struggle to attract and retain qualified employees continues to threaten the nation's economy, global competitiveness, and national security. Given the nationwide skills and labor shortage in the energy industry, this study was conducted in response to a need to identify causes of person-environment fit and its effects on engineering students' intentions to work in the energy industry after graduation. Structural equation modeling was used to examine the relationships between student inputs, environmental factors, and career-related outcomes. Two models were compared using data collected from 381 undergraduate engineering students from across the country. Results suggest that students who gained knowledge about professions in the energy industry from participating in an internship or co-op at an energy-related company perceived greater fit with the goals and values of the energy industry. In addition, this study found that students who perceive high levels of fit with the energy industry also have high industry attraction, which directly affects their energy industry pursuit intentions. Overall, this research indicates that high quality internships have the potential to increase students' perceived industry fit, which is closely tied to their career intentions. Outcomes of this study are expected to provide stakeholders with new insights to improve practices within the university-industry environment that will educate, promote, and sustain a strong energy workforce for years to come.

  11. Modeling of thermal storage systems in MILP distributed energy resource models

    DOE PAGES

    Steen, David; Stadler, Michael; Cardoso, Gonçalo; ...

    2014-08-04

    Thermal energy storage (TES) and distributed generation technologies, such as combined heat and power (CHP) or photovoltaics (PV), can be used to reduce energy costs and decrease CO 2 emissions from buildings by shifting energy consumption to times with less emissions and/or lower energy prices. To determine the feasibility of investing in TES in combination with other distributed energy resources (DER), mixed integer linear programming (MILP) can be used. Such a MILP model is the well-established Distributed Energy Resources Customer Adoption Model (DER-CAM); however, it currently uses only a simplified TES model to guarantee linearity and short run-times. Loss calculationsmore » are based only on the energy contained in the storage. This paper presents a new DER-CAM TES model that allows improved tracking of losses based on ambient and storage temperatures, and compares results with the previous version. A multi-layer TES model is introduced that retains linearity and avoids creating an endogenous optimization problem. The improved model increases the accuracy of the estimated storage losses and enables use of heat pumps for low temperature storage charging. Ultimately,results indicate that the previous model overestimates the attractiveness of TES investments for cases without possibility to invest in heat pumps and underestimates it for some locations when heat pumps are allowed. Despite a variation in optimal technology selection between the two models, the objective function value stays quite stable, illustrating the complexity of optimal DER sizing problems in buildings and microgrids.« less

  12. Modelling Students' Construction of Energy Models in Physics.

    ERIC Educational Resources Information Center

    Devi, Roshni; And Others

    1996-01-01

    Examines students' construction of experimentation models for physics theories in energy storage, transformation, and transfers involving electricity and mechanics. Student problem solving dialogs and artificial intelligence modeling of these processes is analyzed. Construction of models established relations between elements with linear causal…

  13. Ultraviolet complete dark energy model

    NASA Astrophysics Data System (ADS)

    Narain, Gaurav; Li, Tianjun

    2018-04-01

    We consider a local phenomenological model to explain a nonlocal gravity scenario which has been proposed to address dark energy issues. This nonlocal gravity action has been seen to fit the data as well as Λ -CDM and therefore demands a more fundamental local treatment. The induced gravity model coupled with higher-derivative gravity is exploited for this proposal, as this perturbatively renormalizable model has a well-defined ultraviolet (UV) description where ghosts are evaded. We consider a generalized version of this model where we consider two coupled scalar fields and their nonminimal coupling with gravity. In this simple model, one of the scalar field acquires a vacuum expectation value (VEV), thereby inducing a mass for one of the scalar fields and generating Newton's constant. The induced mass however is seen to be always above the running energy scale thereby leading to its decoupling. The residual theory after decoupling becomes a platform for driving the accelerated expansion under certain conditions. Integrating out the residual scalar generates a nonlocal gravity action. The leading term of which is the nonlocal gravity action used to fit the data of dark energy.

  14. A High-Resolution Integrated Model of the National Ignition Campaign Cryogenic Layered Experiments

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

    Jones, O. S.; Callahan, D. A.; Cerjan, C. J.

    A detailed simulation-based model of the June 2011 National Ignition Campaign (NIC) cryogenic DT experiments is presented. The model is based on integrated hohlraum-capsule simulations that utilize the best available models for the hohlraum wall, ablator, and DT equations of state and opacities. The calculated radiation drive was adjusted by changing the input laser power to match the experimentally measured shock speeds, shock merger times, peak implosion velocity, and bangtime. The crossbeam energy transfer model was tuned to match the measured time-dependent symmetry. Mid-mode mix was included by directly modeling the ablator and ice surface perturbations up to mode 60.more » Simulated experimental values were extracted from the simulation and compared against the experiment. The model adjustments brought much of the simulated data into closer agreement with the experiment, with the notable exception of the measured yields, which were 15-40% of the calculated yields.« less

  15. A High-Resolution Integrated Model of the National Ignition Campaign Cryogenic Layered Experiments

    DOE PAGES

    Jones, O. S.; Callahan, D. A.; Cerjan, C. J.; ...

    2012-05-29

    A detailed simulation-based model of the June 2011 National Ignition Campaign (NIC) cryogenic DT experiments is presented. The model is based on integrated hohlraum-capsule simulations that utilize the best available models for the hohlraum wall, ablator, and DT equations of state and opacities. The calculated radiation drive was adjusted by changing the input laser power to match the experimentally measured shock speeds, shock merger times, peak implosion velocity, and bangtime. The crossbeam energy transfer model was tuned to match the measured time-dependent symmetry. Mid-mode mix was included by directly modeling the ablator and ice surface perturbations up to mode 60.more » Simulated experimental values were extracted from the simulation and compared against the experiment. The model adjustments brought much of the simulated data into closer agreement with the experiment, with the notable exception of the measured yields, which were 15-40% of the calculated yields.« less

  16. Visual prosthesis wireless energy transfer system optimal modeling

    PubMed Central

    2014-01-01

    Background Wireless energy transfer system is an effective way to solve the visual prosthesis energy supply problems, theoretical modeling of the system is the prerequisite to do optimal energy transfer system design. Methods On the basis of the ideal model of the wireless energy transfer system, according to visual prosthesis application condition, the system modeling is optimized. During the optimal modeling, taking planar spiral coils as the coupling devices between energy transmitter and receiver, the effect of the parasitic capacitance of the transfer coil is considered, and especially the concept of biological capacitance is proposed to consider the influence of biological tissue on the energy transfer efficiency, resulting in the optimal modeling’s more accuracy for the actual application. Results The simulation data of the optimal model in this paper is compared with that of the previous ideal model, the results show that under high frequency condition, the parasitic capacitance of inductance and biological capacitance considered in the optimal model could have great impact on the wireless energy transfer system. The further comparison with the experimental data verifies the validity and accuracy of the optimal model proposed in this paper. Conclusions The optimal model proposed in this paper has a higher theoretical guiding significance for the wireless energy transfer system’s further research, and provide a more precise model reference for solving the power supply problem in visual prosthesis clinical application. PMID:24428906

  17. State Energy Efficiency Program Evaluation Inventory

    EIA Publications

    2013-01-01

    The focus of this inventory, some of which has been placed into a searchable spreadsheet, is to support the National Energy Modeling System (NEMS) and to research cost information in state-mandated energy efficiency program evaluations – e.g., for use in updating analytic and modeling assumptions used by the U.S. Energy Information Administration (EIA).

  18. Comparison of the Mortality Probability Admission Model III, National Quality Forum, and Acute Physiology and Chronic Health Evaluation IV hospital mortality models: implications for national benchmarking*.

    PubMed

    Kramer, Andrew A; Higgins, Thomas L; Zimmerman, Jack E

    2014-03-01

    To examine the accuracy of the original Mortality Probability Admission Model III, ICU Outcomes Model/National Quality Forum modification of Mortality Probability Admission Model III, and Acute Physiology and Chronic Health Evaluation IVa models for comparing observed and risk-adjusted hospital mortality predictions. Retrospective paired analyses of day 1 hospital mortality predictions using three prognostic models. Fifty-five ICUs at 38 U.S. hospitals from January 2008 to December 2012. Among 174,001 intensive care admissions, 109,926 met model inclusion criteria and 55,304 had data for mortality prediction using all three models. None. We compared patient exclusions and the discrimination, calibration, and accuracy for each model. Acute Physiology and Chronic Health Evaluation IVa excluded 10.7% of all patients, ICU Outcomes Model/National Quality Forum 20.1%, and Mortality Probability Admission Model III 24.1%. Discrimination of Acute Physiology and Chronic Health Evaluation IVa was superior with area under receiver operating curve (0.88) compared with Mortality Probability Admission Model III (0.81) and ICU Outcomes Model/National Quality Forum (0.80). Acute Physiology and Chronic Health Evaluation IVa was better calibrated (lowest Hosmer-Lemeshow statistic). The accuracy of Acute Physiology and Chronic Health Evaluation IVa was superior (adjusted Brier score = 31.0%) to that for Mortality Probability Admission Model III (16.1%) and ICU Outcomes Model/National Quality Forum (17.8%). Compared with observed mortality, Acute Physiology and Chronic Health Evaluation IVa overpredicted mortality by 1.5% and Mortality Probability Admission Model III by 3.1%; ICU Outcomes Model/National Quality Forum underpredicted mortality by 1.2%. Calibration curves showed that Acute Physiology and Chronic Health Evaluation performed well over the entire risk range, unlike the Mortality Probability Admission Model and ICU Outcomes Model/National Quality Forum models. Acute

  19. Power politics: National energy strategies of the nuclear newly independent states of Armenia, Lithuania and Ukraine

    NASA Astrophysics Data System (ADS)

    Sabonis-Chafee, Theresa Marie

    The successor states of Armenia, Lithuania and Ukraine arrived at independence facing extraordinary challenges in their energy sectors. Each state was a net importer, heavily dependent on cheap energy supplies, mostly from Russia. Each state also inherited a nuclear power complex over which it had not previously exercised full control. In the time period 1991--1996, each state attempted to impose coherence on the energy sector, selecting a new course for the pieces it had inherited from a much larger, highly integrated energy structure. Each state attempted to craft national energy policies in the midst of severe supply shocks and price shocks. Each state developed institutions to govern its nuclear power sector. The states' challenges were made even greater by the fact that they had few political or economic structures necessary for energy management, and sought to create those structures at the same time. This dissertation is a systematic, non-quantitative examination of how each state's energy policies developed during the 1991--1996 time period. The theoretical premise of the analysis (drawn from Statist realism) is that systemic variables---regional climate and energy vulnerability---provide the best explanations for the resulting energy policy decisions. The dependent variable is defined as creation and reform of energy institutions. The independent variables include domestic climate, regional climate, energy vulnerability and transnational assistance. All three states adopted rhetoric and legislation declaring energy a strategic sector. The evidence suggests that two of the states, Armenia and Lithuania, which faced tense regional climates and high levels of energy vulnerability, succeeded in actually treating energy strategically, approaching energy as a matter of national security or "high politics." The third state, Ukraine, failed to do so. The evidence presented suggests that the systemic variables (regional climate and energy vulnerability) provided a

  20. Water demands for electricity generation in the U.S.: Modeling different scenarios for the water–energy nexus

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

    Liu, Lu; Hejazi, Mohamad I.; Patel, Pralit L.

    Water withdrawal for electricity generation in the United States accounts for approximately half the total freshwater withdrawal. With steadily growing electricity demands, a changing climate, and limited water supplies in many water-scarce states, meeting future energy and water demands poses a significant socio-economic challenge. Employing an integrated modeling approach that can capture the energy-water interactions at regional and national scales is essential to improve our understanding of the key drivers that govern those interactions and the role of national policies. In this study, the Global Change Assessment Model (GCAM), a technologically-detailed integrated model of the economy, energy, agriculture and landmore » use, water, and climate systems, was extended to model the electricity and water systems at the state level in the U.S. (GCAM-USA). GCAM-USA was employed to estimate future state-level electricity generation and consumption, and their associated water withdrawals and consumption under a set of six scenarios with extensive details on the generation fuel portfolio, cooling technology mix, and their associated water use intensities. Six scenarios of future water demands of the U.S. electric-sector were explored to investigate the implications of socioeconomics development and growing electricity demands, climate mitigation policy, the transition of cooling systems, electricity trade, and water saving technologies. Our findings include: 1) decreasing water withdrawals and substantially increasing water consumption from both climate mitigation and the conversion from open-loop to closed-loop cooling systems; 2) open trading of electricity benefiting energy scarce yet demand intensive states; 3) within state variability under different driving forces while across state homogeneity under certain driving force ; 4) a clear trade-off between water consumption and withdrawal for the electricity sector in the U.S. The paper discusses this withdrawal

  1. Wavelength Detuning Cross-Beam Energy Transfer Mitigation Scheme for Direct-Drive: Modeling and Evidence from National Ignition Facility Implosions

    NASA Astrophysics Data System (ADS)

    Marozas, J. A.

    2017-10-01

    Cross-beam energy transfer (CBET) has been shown to significantly reduce the laser absorption and implosion speed in direct-drive implosion experiments on OMEGA and the National Ignition Facility (NIF). Mitigating CBET assists in achieving ignition-relevant hot-spot pressures in deuterium-tritium cryogenic OMEGA implosions. In addition, reducing CBET permits lower, more hydrodynamically stable, in-flight aspect ratio ignition designs with smaller nonuniformity growth during the acceleration phase. Detuning the wavelengths of the crossing beams is one of several techniques under investigation at the University of Rochester to mitigate CBET. This talk will describe these techniques with an emphasis on wavelength detuning. Recent experiments designed and predicted using multidimensional hydrodynamic simulations including CBET on the NIF have exploited the wavelength arrangement of the NIF beam geometry to demonstrate CBET mitigation through wavelength detuning in polar-direct-drive (PDD) implosions. Shapes and trajectories inferred from time-resolved x-ray radiography of the imploding shell, scattered-light spectra, and hard x-ray spectra generated by suprathermal electrons all indicate a reduction in CBET. These results and their implications for direct-drive ignition will be presented and discussed. In addition, hydrodynamically scaled ignition-relevant designs for OMEGA implosions exploiting wavelength detuning will be presented. Changes required to the OMEGA laser to permit wavelength detuning will be discussed. Future plans for PDD on the NIF including more-uniform implosions with CBET mitigation will be explored. This material is based upon work supported by the Department of Energy National Nuclear Security Administration under Award Number DE-NA0001944.

  2. ImSET: Impact of Sector Energy Technologies

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

    Roop, Joseph M.; Scott, Michael J.; Schultz, Robert W.

    2005-07-19

    This version of the Impact of Sector Energy Technologies (ImSET) model represents the ''next generation'' of the previously developed Visual Basic model (ImBUILD 2.0) that was developed in 2003 to estimate the macroeconomic impacts of energy-efficient technology in buildings. More specifically, a special-purpose version of the 1997 benchmark national Input-Output (I-O) model was designed specifically to estimate the national employment and income effects of the deployment of Office of Energy Efficiency and Renewable Energy (EERE) -developed energy-saving technologies. In comparison with the previous versions of the model, this version allows for more complete and automated analysis of the essential featuresmore » of energy efficiency investments in buildings, industry, transportation, and the electric power sectors. This version also incorporates improvements in the treatment of operations and maintenance costs, and improves the treatment of financing of investment options. ImSET is also easier to use than extant macroeconomic simulation models and incorporates information developed by each of the EERE offices as part of the requirements of the Government Performance and Results Act.« less

  3. Modeling the National Ignition Facility neutron imaging system.

    PubMed

    Wilson, D C; Grim, G P; Tregillis, I L; Wilke, M D; Patel, M V; Sepke, S M; Morgan, G L; Hatarik, R; Loomis, E N; Wilde, C H; Oertel, J A; Fatherley, V E; Clark, D D; Fittinghoff, D N; Bower, D E; Schmitt, M J; Marinak, M M; Munro, D H; Merrill, F E; Moran, M J; Wang, T-S F; Danly, C R; Hilko, R A; Batha, S H; Frank, M; Buckles, R

    2010-10-01

    Numerical modeling of the neutron imaging system for the National Ignition Facility (NIF), forward from calculated target neutron emission to a camera image, will guide both the reduction of data and the future development of the system. Located 28 m from target chamber center, the system can produce two images at different neutron energies by gating on neutron arrival time. The brighter image, using neutrons near 14 MeV, reflects the size and symmetry of the implosion "hot spot." A second image in scattered neutrons, 10-12 MeV, reflects the size and symmetry of colder, denser fuel, but with only ∼1%-7% of the neutrons. A misalignment of the pinhole assembly up to ±175 μm is covered by a set of 37 subapertures with different pointings. The model includes the variability of the pinhole point spread function across the field of view. Omega experiments provided absolute calibration, scintillator spatial broadening, and the level of residual light in the down-scattered image from the primary neutrons. Application of the model to light decay measurements of EJ399, BC422, BCF99-55, Xylene, DPAC-30, and Liquid A suggests that DPAC-30 and Liquid A would be preferred over the BCF99-55 scintillator chosen for the first NIF system, if they could be fabricated into detectors with sufficient resolution.

  4. The Water, Energy, and Biogeochemical Model (WEBMOD): A TOPMODEL application developed within the Modular Modeling System

    NASA Astrophysics Data System (ADS)

    Webb, R. M.; Wolock, D. M.; Linard, J. I.; Wieczorek, M. E.

    2004-12-01

    Process-based flow and transport simulation models can help increase understanding of how hydrologic flow paths affect biogeochemical mixing and reactions in watersheds. This presentation describes the Water, Energy, and Biogeochemical Model (WEBMOD), a new model designed to simulate water and chemical transport in both pristine and agricultural watersheds. WEBMOD simulates streamflow using TOPMODEL algorithms and also simulates irrigation, canopy interception, snowpack, and tile-drain flow; these are important processes for successful multi-year simulations of agricultural watersheds. In addition, the hydrologic components of the model are linked to the U.S. Geological Survey's (USGS) geochemical model PHREEQC such that solute chemistry for the hillslopes and streams also are computed. Model development, execution, and calibration take place within the USGS Modular Modeling System. WEBMOD is being validated at ten research watersheds. Five of these watersheds are nearly pristine and comprise the USGS Water, Energy, and Biogeochemical Budget (WEBB) Program field sites: Loch Vale, Colorado; Trout Lake, Wisconsin; Sleepers River, Vermont; Panola Mountain, Georgia; and the Luquillo Experimental Forest, Puerto Rico. The remaining five watersheds contain intensely cultivated fields being studied by USGS National Water Quality Assessment Program: Merced River, California; Granger Drain, Washington; Maple Creek, Nebraska; Sugar Creek, Indiana; and Morgan Creek, Delaware. Model calibration improved understanding of observed variations in soil moisture, solute concentrations, and stream discharge at the five WEBB watersheds and is now being set up to simulate the processes at the five agricultural watersheds that are now ending their first year of data collection.

  5. Perspectives on the National Water Model

    Treesearch

    Steve Kopp; Don Cline; Chelcy  Miniat; Carl Lucero; John Rothlisberger; David  Levinson; Steve  Evett; Mark  Brusberg; Martin Lowenfish; Mike Strobel; Wayne  Tschirhart; Bruce Rindahl; Scott  Holder; Matt  Ables

    2018-01-01

    The National Water Model is a dynamic and fast-moving initiative with a wide variety of contributors intended to serve an even wider audience, from fellow scientists to emergency managers to water recreation. For perspective on the depth and breadth of the model and its potential impact, a variety of groups from federal to local government, watershed authorities and...

  6. 75 FR 76453 - CAlifornians for Renewable Energy, Inc., (CARE), and Barbara Durkin v. National Grid, Cape Wind...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-08

    ... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Docket No. EL11-9-000] CAlifornians for Renewable Energy, Inc., (CARE), and Barbara Durkin v. National Grid, Cape Wind, and the Massachusetts...), CAlifornians for Renewable Energy, Inc. (CARE) and Barbara Durkin (Complainants) filed a complaint against...

  7. Energy demand forecasting

    NASA Astrophysics Data System (ADS)

    Energy demand forecasting and its connection with national energy policies and decisions is examined in light of recent, sharply revised estimates of future energy requirements. Techniques of economic projects are examined. Modeling of energy demands is discussed. Renewable energy sources are discussed. The shift away from reliance of domestic users on oil and natural gas toward electricity as a primary energy resource is examined in the context of the need to conserve energy and expand generating capacity in order to avoid a significant electricity shortfall.

  8. Characteristics Associated with Consumption of Sports and Energy Drinks among US Adults: National Health Interview Survey, 2010

    PubMed Central

    Park, Sohyun; Onufrak, Stephen; Blanck, Heidi M.; Sherry, Bettylou

    2015-01-01

    Sales of sports and energy drinks have increased dramatically, but there is limited information on regular consumers of sports and energy drinks. Characteristics associated with sports and energy drink intake were examined among a sample representing the civilian noninstitutionalized US adult population. The 2010 National Health Interview Survey data for 25,492 adults (18 years of age or older; 48% males) were used. Nationwide, 31.3% of adults were sports and energy drink consumers during the past 7 days, with 21.5% consuming sports and energy drinks one or more times per week and 11.5% consuming sports and energy drinks three or more times per week. Based on multivariable logistic regression, younger adults, males, non-Hispanic blacks and Hispanics, not-married individuals, adults with higher family income, those who lived in the South or West, adults who engaged in leisure-time physical activity, current smokers, and individuals whose satisfaction with their social activities/relationships was excellent had significantly higher odds for drinking sports and energy drinks one or more times per week. In this model, the factor most strongly associated with weekly sports and energy drink consumption was age (odds ratio [OR]=10.70 for 18- to 24-year-olds, OR=6.40 for 25- to 39-year-olds, OR=3.17 for 40- to 59-year-olds vs 60 years or older). Lower odds for consuming sports and energy drinks one or more times per week were associated with other/multiracial (OR=0.80 vs non-Hispanic white) and obesity (OR=0.87 vs underweight/normal weight). Separate modeling of the association between other beverage intake and sports and energy drink intake showed that higher intake of regular soda, sweetened coffee/tea drinks, fruit drinks, milk, 100% fruit juice, and alcohol were significantly associated with greater odds for drinking sports and energy drinks one or more times per week. These findings can help medical care providers and public health officials identify adults most in

  9. Aquifer thermal-energy-storage modeling

    NASA Astrophysics Data System (ADS)

    Schaetzle, W. J.; Lecroy, J. E.

    1982-09-01

    A model aquifer was constructed to simulate the operation of a full size aquifer. Instrumentation to evaluate the water flow and thermal energy storage was installed in the system. Numerous runs injecting warm water into a preconditioned uniform aquifer were made. Energy recoveries were evaluated and agree with comparisons of other limited available data. The model aquifer is simulated in a swimming pool, 18 ft by 4 ft, which was filled with sand. Temperature probes were installed in the system. A 2 ft thick aquifer is confined by two layers of polyethylene. Both the aquifer and overburden are sand. Four well configurations are available. The system description and original tests, including energy recovery, are described.

  10. The Importance of Simulation Workflow and Data Management in the Accelerated Climate Modeling for Energy Project

    NASA Astrophysics Data System (ADS)

    Bader, D. C.

    2015-12-01

    The Accelerated Climate Modeling for Energy (ACME) Project is concluding its first year. Supported by the Office of Science in the U.S. Department of Energy (DOE), its vision is to be "an ongoing, state-of-the-science Earth system modeling, modeling simulation and prediction project that optimizes the use of DOE laboratory resources to meet the science needs of the nation and the mission needs of DOE." Included in the "laboratory resources," is a large investment in computational, network and information technologies that will be utilized to both build better and more accurate climate models and broadly disseminate the data they generate. Current model diagnostic analysis and data dissemination technologies will not scale to the size of the simulations and the complexity of the models envisioned by ACME and other top tier international modeling centers. In this talk, the ACME Workflow component plans to meet these future needs will be described and early implementation examples will be highlighted.

  11. Comparison of national gestational weight gain guidelines and energy intake recommendations.

    PubMed

    Alavi, N; Haley, S; Chow, K; McDonald, S D

    2013-01-01

    Although data showing adverse effects with high and low gestational weight gain (GWG) come from a large number of countries, a variety of guidelines about the GWG exist. Our objectives were to compare existing GWG and energy recommendations across various countries, as well as the rationale or evidence on which they were based. We used the United Nations' Human Developmental Index to determine the ranking of the country to ensure broad sampling and then searched for guidelines. We first searched the national government websites, and if necessary searched Medline and EMBASE, Global Health databases, and bibliographies of published articles for both guidelines and the studies on which they were based. We found guidelines for 31% of the countries, and 59% of these had a GWG recommendation, 68% had an energy intake recommendation (EIR), and 36% had both. About half of the GWG guidelines are similar to the 2009 American Institutes of Medicine (IOM) and 73% of the EIRs are similar to the 2006 IOM. Despite the documented relationship between both high GWG and adverse outcomes for women and infants and low GWG and adverse outcomes in infants, there are a wide variety of guidelines for GWG and energy recommendations by different countries around the world. © 2012 The Authors. obesity reviews © 2012 International Association for the Study of Obesit.

  12. Toward Improved Modeling of Spectral Solar Irradiance for Solar Energy Applications: Preprint

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

    Xie, Yu; Sengupta, Manajit

    This study introduces the National Renewable Energy Laboratory's (NREL's) recent efforts to extend the capability of the Fast All-sky Radiation Model for Solar applications (FARMS) by computing spectral solar irradiances over both horizontal and inclined surfaces. A new model is developed by computing the optical thickness of the atmosphere using a spectral irradiance model for clear-sky conditions, SMARTS2. A comprehensive lookup table (LUT) of cloud bidirectional transmittance distribution functions (BTDFs) is precomputed for 2002 wavelength bands using an atmospheric radiative transfer model, libRadtran. The solar radiation transmitted through the atmosphere is given by considering all possible paths of photon transmissionmore » and the relevent scattering and absorption attenuation. Our results indicate that this new model has an accuracy that is similar to that of state-of-the-art radiative transfer models, but it is significantly more efficient.« less

  13. Modeling urban building energy use: A review of modeling approaches and procedures

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

    Li, Wenliang; Zhou, Yuyu; Cetin, Kristen

    With rapid urbanization and economic development, the world has been experiencing an unprecedented increase in energy consumption and greenhouse gas (GHG) emissions. While reducing energy consumption and GHG emissions is a common interest shared by major developed and developing countries, actions to enable these global reductions are generally implemented at the city scale. This is because baseline information from individual cities plays an important role in identifying economical options for improving building energy efficiency and reducing GHG emissions. Numerous approaches have been proposed for modeling urban building energy use in the past decades. This paper aims to provide an up-to-datemore » review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use. Because there are significant differences across models with varied potential for application, strengths and weaknesses of the reviewed models are also presented. This is followed by a discussion of challenging issues associated with model preparation and calibration.« less

  14. Modeling urban building energy use: A review of modeling approaches and procedures

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

    Li, Wenliang; Zhou, Yuyu; Cetin, Kristen

    With rapid urbanization and economic development, the world has been experiencing an unprecedented increase in energy consumption and greenhouse gas (GHG) emissions. While reducing energy consumption and GHG emissions is a common interest shared by major developed and developing countries, actions to enable these global reductions are generally implemented at the city scale. This is because baseline information from individual cities plays an important role in identifying economical options for improving building energy efficiency and reducing GHG emissions. Numerous approaches have been proposed for modeling urban building energy use in the past decades. Our paper aims to provide an up-to-datemore » review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use. Because there are significant differences across models with varied potential for application, strengths and weaknesses of the reviewed models are also presented. We then follow this with a discussion of challenging issues associated with model preparation and calibration.« less

  15. Modeling urban building energy use: A review of modeling approaches and procedures

    DOE PAGES

    Li, Wenliang; Zhou, Yuyu; Cetin, Kristen; ...

    2017-11-13

    With rapid urbanization and economic development, the world has been experiencing an unprecedented increase in energy consumption and greenhouse gas (GHG) emissions. While reducing energy consumption and GHG emissions is a common interest shared by major developed and developing countries, actions to enable these global reductions are generally implemented at the city scale. This is because baseline information from individual cities plays an important role in identifying economical options for improving building energy efficiency and reducing GHG emissions. Numerous approaches have been proposed for modeling urban building energy use in the past decades. Our paper aims to provide an up-to-datemore » review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use. Because there are significant differences across models with varied potential for application, strengths and weaknesses of the reviewed models are also presented. We then follow this with a discussion of challenging issues associated with model preparation and calibration.« less

  16. High energy seesaw models, GUTs and Leptogenesis

    NASA Astrophysics Data System (ADS)

    Di Bari, Pasquale

    2017-09-01

    I review high energy (type I) seesaw models and in particular how they can be nicely embedded within grand-unified models and reproduce the observed matter-antimatter asymmetry with leptogenesis. I also discuss how high energy (type I) seesaw models can provide a candidate for very heavy cold dark matter, within the TeV-EeV range, whose decays might explain part of the IceCube high energy neutrino events in addition to an astrophysical component.

  17. The international implications of national and local coordination on building energy codes: Case studies in six cities

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

    Evans, Meredydd; Yu, Sha; Staniszewski, Aaron

    Building energy efficiency is an important strategy for reducing greenhouse gas emissions globally. In fact, 55 countries have included building energy efficiency in their Nationally Determined Contributions (NDCs) under the Paris Agreement. This research uses building energy code implementation in six cities across different continents as case studies to assess what it may take for countries to implement the ambitions of their energy efficiency goals. Specifically, we look at the cases of Bogota, Colombia; Da Nang, Vietnam; Eskisehir, Turkey; Mexico City, Mexico; Rajkot, India; and Tshwane, South Africa, all of which are “deep dive” cities under the Sustainable Energy formore » All's Building Efficiency Accelerator. The research focuses on understanding the baseline with existing gaps in implementation and coordination. The methodology used a combination of surveys on code status and interviews with stakeholders at the local and national level, as well as review of published documents. We looked at code development, implementation, and evaluation. The cities are all working to improve implementation, however, the challenges they currently face include gaps in resources, capacity, tools, and institutions to check for compliance. Better coordination between national and local governments could help improve implementation, but that coordination is not yet well established. For example, all six of the cities reported that there was little to no involvement of local stakeholders in development of the national code; only one city reported that it had access to national funding to support code implementation. More robust coordination could better link cities with capacity building and funding for compliance, and ensure that the code reflects local priorities. By understanding gaps in implementation, it can also help in designing more targeted interventions to scale up energy savings.« less

  18. The international implications of national and local coordination on building energy codes: Case studies in six cities

    DOE PAGES

    Evans, Meredydd; Yu, Sha; Staniszewski, Aaron; ...

    2018-04-17

    Building energy efficiency is an important strategy for reducing greenhouse gas emissions globally. In fact, 55 countries have included building energy efficiency in their Nationally Determined Contributions (NDCs) under the Paris Agreement. This research uses building energy code implementation in six cities across different continents as case studies to assess what it may take for countries to implement the ambitions of their energy efficiency goals. Specifically, we look at the cases of Bogota, Colombia; Da Nang, Vietnam; Eskisehir, Turkey; Mexico City, Mexico; Rajkot, India; and Tshwane, South Africa, all of which are “deep dive” cities under the Sustainable Energy formore » All's Building Efficiency Accelerator. The research focuses on understanding the baseline with existing gaps in implementation and coordination. The methodology used a combination of surveys on code status and interviews with stakeholders at the local and national level, as well as review of published documents. We looked at code development, implementation, and evaluation. The cities are all working to improve implementation, however, the challenges they currently face include gaps in resources, capacity, tools, and institutions to check for compliance. Better coordination between national and local governments could help improve implementation, but that coordination is not yet well established. For example, all six of the cities reported that there was little to no involvement of local stakeholders in development of the national code; only one city reported that it had access to national funding to support code implementation. More robust coordination could better link cities with capacity building and funding for compliance, and ensure that the code reflects local priorities. By understanding gaps in implementation, it can also help in designing more targeted interventions to scale up energy savings.« less

  19. The national ignition facility high-energy ultraviolet laser system

    NASA Astrophysics Data System (ADS)

    Moses, Edward I.

    2004-09-01

    The National Ignition Facility (NIF), currently under construction at the Lawrence Livermore National Laboratory, is a stadium-sized facility containing a 192-beam, 1.8 MJ, 500 TW, ultraviolet laser system together with a 10-m diameter target chamber with room for nearly 100 experimental diagnostics. When completed, NIF will be the world's largest and most energetic laser experimental system, providing an international center to study inertial confinement fusion and the physics of matter at extreme energy densities and pressures. NIF's 192 energetic laser beams will compress fusion targets to conditions required for thermonuclear burn, liberating more energy than required to initiate the fusion reactions. Other NIF experiments will allow the study of physical processes at temperatures approaching 10 8 K and 10 11 Bar, conditions that exist naturally only in the interior of stars, planets and in nuclear weapons. NIF is now entering the first phases of its laser commissioning program. The first four beams of the NIF laser system have generated 106 kJ of infrared light and over 10 kJ at the third harmonic (351 nm). NIF's target experimental systems are also being installed in preparation for experiments to begin in late 2003. This paper provides a detailed look the NIF laser systems, the significant laser and optical systems breakthroughs that were developed, the results of recent laser commissioning shots, and plans for commissioning diagnostics for experiments on NIF.

  20. The role of country-to-region assignments in global integrated modeling of energy, agriculture, land use, and climate

    NASA Astrophysics Data System (ADS)

    Kyle, P.; Patel, P.; Calvin, K. V.

    2014-12-01

    Global integrated assessment models used for understanding the linkages between the future energy, agriculture, and climate systems typically represent between 8 and 30 geopolitical macro-regions, balancing the benefits of geographic resolution with the costs of additional data collection, processing, analysis, and computing resources. As these models are continually being improved and updated in order to address new questions for the research and policy communities, it is worth examining the consequences of the country-to-region mapping schemes used for model results. This study presents an application of a data processing system built for the GCAM integrated assessment model that allows any country-to-region assignments, with a minimum of four geopolitical regions and a maximum of 185. We test ten different mapping schemes, including the specific mappings used in existing major integrated assessment models. We also explore the impacts of clustering nations into regions according to the similarity of the structure of each nation's energy and agricultural sectors, as indicated by multivariate analysis. Scenarios examined include a reference scenario, a low-emissions scenario, and scenarios with agricultural and buildings sector climate change impacts. We find that at the global level, the major output variables (primary energy, agricultural land use) are surprisingly similar regardless of regional assignments, but at finer geographic scales, differences are pronounced. We suggest that enhancing geographic resolution is advantageous for analysis of climate impacts on the buildings and agricultural sectors, due to the spatial heterogeneity of these drivers.

  1. Modeling Innovations Advance Wind Energy Industry

    NASA Technical Reports Server (NTRS)

    2009-01-01

    In 1981, Glenn Research Center scientist Dr. Larry Viterna developed a model that predicted certain elements of wind turbine performance with far greater accuracy than previous methods. The model was met with derision from others in the wind energy industry, but years later, Viterna discovered it had become the most widely used method of its kind, enabling significant wind energy technologies-like the fixed pitch turbines produced by manufacturers like Aerostar Inc. of Westport, Massachusetts-that are providing sustainable, climate friendly energy sources today.

  2. Engineering approaches to energy balance and obesity: opportunities for novel collaborations and research: report of a joint national science foundation and national institutes of health workshop.

    PubMed

    Ershow, Abby G; Ortega, Alfonso; Timothy Baldwin, J; Hill, James O

    2007-01-01

    Energy balance disorders account for a large public health burden. The obesity epidemic in particular is one of the most rapidly evolving public health problems of our day. At present, two-thirds of American adults and one-sixth of American children and adolescents are considered either overweight or obese. Public health concern about obesity is high because of the increased risk and increased mortality of cardiovascular disease, Type 2 diabetes, many forms of cancer, gallbladder disease, and osteoarthritis. These risks increase with the severity of the obesity. Excess adipose tissue, representing fat storage, ultimately derives from an imbalance between energy intake and energy expenditure. Conversely, undesirable and inadvertent loss of body weight and muscle mass, as seen in aging and cachectic states of chronic diseases such as heart failure and cancer, have serious clinical and functional consequences without satisfactory clinical or behavioral solutions. Innovative engineering technologies could help to address unresolved problems in energy balance, intake, and expenditure. Novel sensors, devices, imaging technologies, nanotechnologies, biomaterials, technologies to detect biochemical markers of energy balance, mathematical modeling, systems biology, and other approaches could be developed, evaluated, and leveraged through multidisciplinary collaborations. Engineers, physical scientists, and mathematicians can work with scientists from other relevant disciplines who possess expertise in obesity and nutrition. Furthermore, the possibility of re-engineering the "built environment" to encourage higher levels of physical activity has been suggested as another promising and important approach to which engineers can contribute (see http://www.obesityresearch.nih.gov). Ultimately, systematic application of the "Engineering Approach" can help in developing the needed technologies and tools to facilitate research and eventually support therapeutic advances and

  3. Engineering Approaches to Energy Balance and Obesity: Opportunities for Novel Collaborations and Research: Report of a Joint National Science Foundation and National Institutes of Health Workshop

    PubMed Central

    Ershow, Abby G.; Ortega, Alfonso; Timothy Baldwin, J.; Hill, James O.

    2007-01-01

    Energy balance disorders account for a large public health burden. The obesity epidemic in particular is one of the most rapidly evolving public health problems of our day. At present, two-thirds of American adults and one-sixth of American children and adolescents are considered either overweight or obese. Public health concern about obesity is high because of the increased risk and increased mortality of cardiovascular disease, Type 2 diabetes, many forms of cancer, gallbladder disease, and osteoarthritis. These risks increase with the severity of the obesity. Excess adipose tissue, representing fat storage, ultimately derives from an imbalance between energy intake and energy expenditure. Conversely, undesirable and inadvertent loss of body weight and muscle mass, as seen in aging and cachectic states of chronic diseases such as heart failure and cancer, have serious clinical and functional consequences without satisfactory clinical or behavioral solutions. Innovative engineering technologies could help to address unresolved problems in energy balance, intake, and expenditure. Novel sensors, devices, imaging technologies, nanotechnologies, biomaterials, technologies to detect biochemical markers of energy balance, mathematical modeling, systems biology, and other approaches could be developed, evaluated, and leveraged through multidisciplinary collaborations. Engineers, physical scientists, and mathematicians can work with scientists from other relevant disciplines who possess expertise in obesity and nutrition. Furthermore, the possibility of re-engineering the “built environment” to encourage higher levels of physical activity has been suggested as another promising and important approach to which engineers can contribute (see http://www.obesityresearch.nih.gov). Ultimately, systematic application of the “Engineering Approach” can help in developing the needed technologies and tools to facilitate research and eventually support therapeutic advances and

  4. Tale of Two Cities: Greensburg Resurrected as a National Model for Green Communities (Fact Sheet)

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

    Not Available

    This fact sheet provides a summary of how NREL's technical assistance in Greensburg, Kansas, helped the town rebuild green after recovering from a tornado in May 2007. Greensburg, Kansas, was like any rural community in America until a massive tornado leveled much of the town on May 4, 2007. Key leaders in Greensburg and Kansas made a crucial decision not just to rebuild, but to remake the town as a model sustainable community. To help achieve that goal, technical experts from the U.S. Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL) arrived in Greensburg in June 2007.more » For three years, the experts worked with city leaders, business owners, residents, and other state, federal, and local agencies to identify ways to incorporate energy efficiency and renewable energy technologies into the town's rebuilding efforts. NREL conducted detailed studies to examine energy use; availability of renewable energy resources; energy options; and potential integrated energy solutions that could also be replicated in other communities recovering from disaster or working toward building green. Those recommendations were incorporated into the Greensburg Sustainable Comprehensive Master Plan and furthered the town's vision of becoming an affordable sustainable community. Technical assistance provided by NREL has impacted the following areas in Greensburg's resurrection. Residents also formed a non-profit organization, Greensburg GreenTown{trademark}, to provide resources and support for rebuilding. Through energy modeling, education, training, and onsite assistance, NREL helped renovate and rebuild homes in Greensburg that on average, use 40% less energy than similar buildings built to code - surpassing the goal NREL originally set to achieve 30% energy savings in residential buildings.« less

  5. NCSE's 15th National Conference and Global Forum on Science, Policy, and the Environment: Energy and Climate Change, Final Report

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

    Levine, Ellen

    The National Council for Science and the Environment (NCSE) held its 15th National Conference and Global Forum on Science, Policy and the Environment: Energy and Climate Change, on January 27-29, 2015, at the Hyatt Regency Hotel, Crystal City, VA. The National Conference: Energy and Climate Change developed and advanced partnerships that focused on transitioning the world to a new “low carbon” and “climate resilient” energy system. It emphasized advancing research and technology, putting ideas into action, and moving forward on policy and practice. More than 900 participants from the scientific research, policy and governance, business and civil society, and educationmore » communities attended. The Conference was organized around four themes: (1) a new energy system (including energy infrastructure, technologies and efficiencies, changes in distribution of energy sources, and low carbon transportation); (2) energy, climate and sustainable development; (3) financing and markets; and (4) achieving progress (including ideas for the 21st Conference of Parties to the United Nations Framework Convention on Climate Change). The program featured six keynote presentations, six plenary sessions, 41 symposia and 20 workshops. Conference participants were involved in the 20 workshops, each on a specific energy and climate-related issue. The workshops were designed as interactive sessions, with each workshop generating 10-12 recommendations on the topic. The recommendations were prepared in the final conference report, were disseminated nationally, and continue to be available for public use. The conference also featured an exhibition and poster sessions. The National Conference on Energy and Climate Change addressed a wide range of issues specific to the U.S. Department of Energy’s programs; involved DOE’s scientists and program managers in sessions and workshops; and reached out to a broad array of DOE stakeholders.« less

  6. The United Nations and Energy Management. Conference on the United Nations of the Next Decade (15th, Woodstock, Vermont, June 15-20, 1980).

    ERIC Educational Resources Information Center

    Stanley Foundation, Muscatine, IA.

    The conference described in this report convened to provide a forum for exchanging ideas and opinions on the role of the United Nations in global energy management. The conference was one in a series of international meetings (14 have been held to date) to consider how to increase the effectiveness of the United Nations during the 1980s. The…

  7. Smith Newton Vehicle Performance Evaluation – 4th Quarter 2013; NREL (National Renewable Energy Laboratory)

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

    None

    2014-01-01

    The Fleet Test and Evaluation Team at the U.S. Department of Energy's National Renewable Energy Laboratory is evaluating and documenting the performance of electric and plug-in hybrid electric drive systems in medium-duty trucks across the nation. U.S. companies participating in this evaluation project received funding from the American Recovery and Reinvestment Act to cover part of the cost of purchasing these vehicles. Through this project, Smith Electric Vehicles is building and deploying 500 all-electric medium-duty trucks that will be deployed by a variety of companies in diverse climates across the country.

  8. A Climate Change Vulnerability Assessment Report for the National Renewable Energy Laboratory: May 23, 2014 -- June 5, 2015

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

    Vogel, J.; O'Grady, M.; Renfrow, S.

    The U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL), in Golden, Colorado, focuses on renewable energy and energy efficiency research. Its portfolio includes advancing renewable energy technologies that can help meet the nation's energy and environmental goals. NREL seeks to better understand the potential effects of climate change on the laboratory--and therefore on its mission--to ensure its ongoing success. Planning today for a changing climate can reduce NREL's risks and improve its resiliency to climate-related vulnerabilities. This report presents a vulnerability assessment for NREL. The assessment was conducted in fall 2014 to identify NREL's climate change vulnerabilities andmore » the aspects of NREL's mission or operations that may be affected by a changing climate.« less

  9. Hydrologic Modeling at the National Water Center: Operational Implementation of the WRF-Hydro Model to support National Weather Service Hydrology

    NASA Astrophysics Data System (ADS)

    Cosgrove, B.; Gochis, D.; Clark, E. P.; Cui, Z.; Dugger, A. L.; Fall, G. M.; Feng, X.; Fresch, M. A.; Gourley, J. J.; Khan, S.; Kitzmiller, D.; Lee, H. S.; Liu, Y.; McCreight, J. L.; Newman, A. J.; Oubeidillah, A.; Pan, L.; Pham, C.; Salas, F.; Sampson, K. M.; Smith, M.; Sood, G.; Wood, A.; Yates, D. N.; Yu, W.; Zhang, Y.

    2015-12-01

    The National Weather Service (NWS) National Water Center(NWC) is collaborating with the NWS National Centers for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR) to implement a first-of-its-kind operational instance of the Weather Research and Forecasting (WRF)-Hydro model over the Continental United States (CONUS) and contributing drainage areas on the NWS Weather and Climate Operational Supercomputing System (WCOSS) supercomputer. The system will provide seamless, high-resolution, continuously cycling forecasts of streamflow and other hydrologic outputs of value from both deterministic- and ensemble-type runs. WRF-Hydro will form the core of the NWC national water modeling strategy, supporting NWS hydrologic forecast operations along with emergency response and water management efforts of partner agencies. Input and output from the system will be comprehensively verified via the NWC Water Resource Evaluation Service. Hydrologic events occur on a wide range of temporal scales, from fast acting flash floods, to long-term flow events impacting water supply. In order to capture this range of events, the initial operational WRF-Hydro configuration will feature 1) hourly analysis runs, 2) short-and medium-range deterministic forecasts out to two day and ten day horizons and 3) long-range ensemble forecasts out to 30 days. All three of these configurations are underpinned by a 1km execution of the NoahMP land surface model, with channel routing taking place on 2.67 million NHDPlusV2 catchments covering the CONUS and contributing areas. Additionally, the short- and medium-range forecasts runs will feature surface and sub-surface routing on a 250m grid, while the hourly analyses will feature this same 250m routing in addition to nudging-based assimilation of US Geological Survey (USGS) streamflow observations. A limited number of major reservoirs will be configured within the model to begin to represent the first-order impacts of

  10. A Model School Facility for Energy (with Related Video)

    ERIC Educational Resources Information Center

    Spangler, Seth; Crutchfield, Dave

    2011-01-01

    Energy modeling can be a powerful tool for managing energy-reduction concepts for an institution. Different types of energy models are developed at various stages of a project to provide data that can verify or disprove suggested energy-efficiency measures. Education institutions should understand what an energy model can do and, more important,…

  11. Extreme Conditions Modeling Workshop Report

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

    Coe, R. G.; Neary, V. S.; Lawson, M. J.

    2014-07-01

    Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, NM on May 13th-14th, 2014. The objective of the workshop was to review the current state of knowledge on how to model WECs in extreme conditions (e.g. hurricanes and other large storms) and to suggest how U.S. Department of Energy (DOE) and national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry.

  12. Solar energy to meet the nation's energy needs

    NASA Technical Reports Server (NTRS)

    Rom, F. E.; Thomas, R. L.

    1973-01-01

    Discussion of the possibilities afforded by solar energy as one of the alternative energy sources capable to take the place of the dwindling oil and gas reserves. Solar energy, being a nondepleting clean source of energy, is shown to be capable of providing energy in all the forms in which it is used today. Steps taken toward providing innovative solutions that are economically competitive with other systems are briefly reviewed.

  13. Review of Methods for Buildings Energy Performance Modelling

    NASA Astrophysics Data System (ADS)

    Krstić, Hrvoje; Teni, Mihaela

    2017-10-01

    Research presented in this paper gives a brief review of methods used for buildings energy performance modelling. This paper gives also a comprehensive review of the advantages and disadvantages of available methods as well as the input parameters used for modelling buildings energy performance. European Directive EPBD obliges the implementation of energy certification procedure which gives an insight on buildings energy performance via exiting energy certificate databases. Some of the methods for buildings energy performance modelling mentioned in this paper are developed by employing data sets of buildings which have already undergone an energy certification procedure. Such database is used in this paper where the majority of buildings in the database have already gone under some form of partial retrofitting - replacement of windows or installation of thermal insulation but still have poor energy performance. The case study presented in this paper utilizes energy certificates database obtained from residential units in Croatia (over 400 buildings) in order to determine the dependence between buildings energy performance and variables from database by using statistical dependencies tests. Building energy performance in database is presented with building energy efficiency rate (from A+ to G) which is based on specific annual energy needs for heating for referential climatic data [kWh/(m2a)]. Independent variables in database are surfaces and volume of the conditioned part of the building, building shape factor, energy used for heating, CO2 emission, building age and year of reconstruction. Research results presented in this paper give an insight in possibilities of methods used for buildings energy performance modelling. Further on it gives an analysis of dependencies between buildings energy performance as a dependent variable and independent variables from the database. Presented results could be used for development of new building energy performance predictive

  14. Supplemental Tables to the Annual Energy Outlook

    EIA Publications

    2017-01-01

    The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

  15. Federal inventory of energy-related biomedical and environmental research for FY 1974 and FY 1975. [TVA, NASA, National Institutes of Health, National Institute for Occupational Safety and Health

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

    Not Available

    1975-10-01

    Brief summaries are presented of energy-related biomedical and environmental research studies during 1974 and 1975 sponsored by the Tennessee Valley Authority, National Aeronautics and Space Administration, National Institutes of Health, and the National Institute for Occupational Safety and Health. (CH)

  16. ANALYSIS OF WATER AND ENERGY FLUXES USING SATELLITE, ENERGY BALANCE MODELING AND OBSERVATIONS (Invited)

    NASA Astrophysics Data System (ADS)

    Irmak, A.

    2009-12-01

    Surface energy fluxes, including net radiation (Rn), sensible heat (H), latent heat (LE), and soil heat flux (G) are critical in surface energy balance of any terrain or landscapes. Estimation or measurement of these energy fluxes is important for completing the water balance in terrestrial ecosystems, and therefore accurately predicting the effects of global climate and land use change. The objectives of this study were to (1) use METRICtm (Mapping Evapotranspiration at high Resolution using Internalized Calibration) model for estimating land surface energy fluxes in Nebraska (NE) by utilizing satellite remote sensing data, (2) identify model bias in energy balance components compared with measurements from Bowen Ratio Energy Balance System (BREBS) in a subsurface drip-irrigated maize field in South-central Nebraska, and (3) understand the partitioning of available energy into latent heat for corn and soybean cropping systems at large scale. A total of 15 Landsat images were processed to estimate instantaneous surface energy fluxes at Landsat overpasses with METRIC model. Results showed that the model predictions of the surface energy fluxes and daily evapotranspiration were correlated well with the BREBS measurements. There is a need, however, to test the performance of the model with in-situ observations in other locations with different dataset before utilizing it for crucial water regulatory and policy decisions. The METRICtm approach illustrated how an ‘off-the-shelf’ model can be applied operationally over a significant time period and how that model behaves. The findings makes considerable contribution to our understanding of estimating land surface energy fluxes using remote sensing approach and experimentally describes the operational characteristics of METRICtm and presents its limitations.

  17. Towards a 3d Spatial Urban Energy Modelling Approach

    NASA Astrophysics Data System (ADS)

    Bahu, J.-M.; Koch, A.; Kremers, E.; Murshed, S. M.

    2013-09-01

    Today's needs to reduce the environmental impact of energy use impose dramatic changes for energy infrastructure and existing demand patterns (e.g. buildings) corresponding to their specific context. In addition, future energy systems are expected to integrate a considerable share of fluctuating power sources and equally a high share of distributed generation of electricity. Energy system models capable of describing such future systems and allowing the simulation of the impact of these developments thus require a spatial representation in order to reflect the local context and the boundary conditions. This paper describes two recent research approaches developed at EIFER in the fields of (a) geo-localised simulation of heat energy demand in cities based on 3D morphological data and (b) spatially explicit Agent-Based Models (ABM) for the simulation of smart grids. 3D city models were used to assess solar potential and heat energy demand of residential buildings which enable cities to target the building refurbishment potentials. Distributed energy systems require innovative modelling techniques where individual components are represented and can interact. With this approach, several smart grid demonstrators were simulated, where heterogeneous models are spatially represented. Coupling 3D geodata with energy system ABMs holds different advantages for both approaches. On one hand, energy system models can be enhanced with high resolution data from 3D city models and their semantic relations. Furthermore, they allow for spatial analysis and visualisation of the results, with emphasis on spatially and structurally correlations among the different layers (e.g. infrastructure, buildings, administrative zones) to provide an integrated approach. On the other hand, 3D models can benefit from more detailed system description of energy infrastructure, representing dynamic phenomena and high resolution models for energy use at component level. The proposed modelling strategies

  18. Energy drink consumption and the risk of alcohol use disorder among a national sample of adolescents and young adults.

    PubMed

    Emond, Jennifer A; Gilbert-Diamond, Diane; Tanski, Susanne E; Sargent, James D

    2014-12-01

    To assess the association between energy drink use and hazardous alcohol use among a national sample of adolescents and young adults. Cross-sectional analysis of 3342 youth aged 15-23 years recruited for a national survey about media and alcohol use. Energy drink use was defined as recent use or ever mixed-use with alcohol. Outcomes were ever alcohol use and 3 hazardous alcohol use outcomes measured with the Alcohol Use Disorders Identification Test (AUDIT): ever consuming 6 or more drinks at once (6+ binge drinking) and clinical criteria for hazardous alcohol use as defined for adults (8+AUDIT) and for adolescents (4+AUDIT). Among 15-17 year olds (n = 1508), 13.3% recently consumed an energy drink, 9.7% ever consumed an energy drink mixed with alcohol, and 47.1% ever drank alcohol. Recent energy drink use predicted ever alcohol use among 15-17-year-olds only (OR 2.58; 95% CI 1.77-3.77). Of these 15-17-year-olds, 17% met the 6+ binge drinking criteria, 7.2% met the 8+AUDIT criteria, and 16.0% met the 4+AUDIT criteria. Rates of energy drink use and all alcohol use outcomes increased with age. Ever mixed-use with alcohol predicted 6+ binge drinking (OR 4.69; 95% CI 3.70-5.94), 8+AUDIT (OR 3.25; 95% CI 2.51-4.21), and 4+AUDIT (OR 4.15; 95% CI 3.27-5.25) criteria in adjusted models among all participants, with no evidence of modification by age. Positive associations between energy drink use and hazardous alcohol use behaviors are not limited to youth in college settings. Copyright © 2014 Elsevier Inc. All rights reserved.

  19. Energy drink consumption and the risk of alcohol use disorder among a national sample of adolescents and young adults

    PubMed Central

    Emond, Jennifer A.; Gilbert-Diamond, Diane; Tanski, Susanne E.; Sargent, James D.

    2014-01-01

    Objective To assess the association between energy drink use and hazardous alcohol use among a national sample of adolescents and young adults. Study design Cross-sectional analysis of 3,342 youth aged 15-23 years recruited for a national survey about media and alcohol use. Energy drink use was defined as recent use or ever mixed-use with alcohol. Outcomes were ever alcohol use and three hazardous alcohol use outcomes measured with the Alcohol Use Disorders Identification Test (AUDIT): ever consuming 6 or more drinks at once (6+ binge drinking) and clinical criteria for hazardous alcohol use as defined for adults (8+AUDIT) and for adolescents (4+AUDIT). Results Among 15-17 year olds (n=1,508), 13.3% recently consumed an energy drink, 9.7% ever consumed an energy drink mixed with alcohol, and 47.1% ever drank alcohol. Recent energy drink use predicted ever alcohol use among 15-17 years olds only (OR: 2.58; 95% CI: 1.77-3.77). Of these 15-17 year olds, 17% met the 6+ binge drinking criteria, 7.2% met the 8+AUDIT criteria, and 16.0% met the 4+AUDIT criteria. Rates of energy drink use and all alcohol use outcomes increased with age. Ever mixed-use with alcohol predicted 6+ binge drinking (OR 4.69; 95% CI: 3.70-5.94), 8+AUDIT (OR 3.25; 95% CI: 2.51-4.21), and 4+AUDIT (OR 4.15; 95% CI: 3.27-5.25) criteria in adjusted models among all participants, with no evidence of modification by age. Conclusions Positive associations between energy drink use and hazardous alcohol use behaviors are not limited to youth in college settings. PMID:25294603

  20. Understanding the National Energy Dilemma.

    ERIC Educational Resources Information Center

    Georgetown Univ., Washington, DC. Center for Strategic and International Studies.

    This graphic representation of our energy dilemma provides government officials, industry, and general public with an understanding of the broad problems and complexity of our energy crisis. An energy display system projects effects of energy policies on our domestic energy situation. This display contains sheets indicating total energy flow…

  1. National energy conservation

    NASA Technical Reports Server (NTRS)

    1975-01-01

    A set of energy conservation actions that cut across all sectors of the economy were analyzed so that all actions under consideration be analyzed systematically and as a whole. The actions considered were as follows: (1) roll back the price of newly discovered oil, (2) freeze gasoline production for 3 years at 1972 levels, (3) mandate automobile mileage improvements, (4) require industry to improve energy efficiency, (5) require manufacture of household appliances with greater efficiency, (6) force conversion of many power plants from gas and oil to coal. The results showed that considerable gas and oil would be saved by forcing switches to coal. However, the large scale switch to coal was shown to require greatly increased outputs from many other industries that in turn require more energy. It was estimated that nearly 2.5 quads of additional coal were needed to produce these additional requirements. Also, the indirect requirements would create more jobs.

  2. Energy Retrofit--Step One.

    ERIC Educational Resources Information Center

    Canipe, Stephen L.; And Others

    1983-01-01

    A School Retrofit Design Analysis System (SRDAS) provides energy modeling analyses of school buildings. SRDAS has three subprograms that consider first, roof, windows, walls, floors, and infiltration sites; second, costs per student, compliance with national energy consumption norms, and electricity costs projections; and third, financial savings…

  3. Driving R&D for the Next Generation Work Truck; NREL (National Renewable Energy Laboratory)

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

    Melendez, M.

    2015-03-04

    Improvements in medium- and heavy-duty work truck energy efficiency can dramatically reduce the use of petroleum-based fuels and the emissions of greenhouse gases. The National Renewable Energy Laboratory (NREL) is working with industry partners to develop fuel-saving, high-performance vehicle technologies, while examining fleet operational practices that can simulateneously improve fuel economy, decrease emissions, and support bottom-line goals.

  4. The National Astronomy Consortium - An Adaptable Model for OAD?

    NASA Astrophysics Data System (ADS)

    Sheth, Kartik

    2015-08-01

    The National Astronomy Consortium (NAC) is a program led by the National Radio Astronomy Observatory (NRAO) and Associated Universities Inc., (AUI) in partnership with the National Society of Black Physicists (NSBP), and a number of minority and majority universities to increase the numbers of students from underrepresented groups and those otherwise overlooked by the traditional academic pipeline into STEM or STEM-related careers. The seed for the NAC was a partnership between NRAO and Howard University which began with an exchange of a few summer students five years ago. Since then the NAC has grown tremendously. Today the NAC aims to host between 4 to 5 cohorts nationally in an innovative model in which the students are mentored throughout the year with multiple mentors and peer mentoring, continued engagement in research and professional development / career training throughout the academic year and throughout their careers.The NAC model has already shown success and is a very promising and innovative model for increasing participation of young people in STEM and STEM-related careers. I will discuss how this model could be adapted in various countries at all levels of education.

  5. Development of a National HRD Strategy Model: Cases of India and China

    ERIC Educational Resources Information Center

    Alagaraja, Meera; Wang, Jia

    2012-01-01

    National human resource development (NHRD) literature describes the importance of developing human resources at the national level and presents several models. These models are primarily concerned with the national contexts of developing and underdeveloped countries. In contrast, the NHRD models in the non-HRD literature focus primarily on…

  6. Presentation a New Model to Measure National Power of the Countries

    NASA Astrophysics Data System (ADS)

    Hafeznia, Mohammad Reza; Hadi Zarghani, Seyed; Ahmadipor, Zahra; Roknoddin Eftekhari, Abdelreza

    In this research, based on the assessment of previous models for the evaluation of national power, a new model is presented to measure national power; it is much better than previous models. Paying attention to all the aspects of national power (economical, social, cultural, political, military, astro-space, territorial, scientific and technological and transnational), paying attention to the usage of 87 factors, stressing the usage of new and strategically compatible variables to the current time are some of the benefits of this model. Also using the Delphi method and referring to the opinions of experts about determining the role and importance of variables affecting national power, the option of drawing out the global power structure are some the other advantages that this model has compared to previous ones.

  7. Energy, Environment, Productivity. Proceedings of the First Symposium on RANN: Research Applied to National Needs, November 1973.

    ERIC Educational Resources Information Center

    Holmes, Jay, Ed.

    This volume records the presentations made at the Symposium on Research Applied to National Needs. The three major problem areas of energy, the environment, and productivity serve as a focus for the papers. The 14 papers in the first section deal with energy programs; energy under the ocean; energy conversion and transmission systems; and…

  8. Towards a generalized energy prediction model for machine tools

    PubMed Central

    Bhinge, Raunak; Park, Jinkyoo; Law, Kincho H.; Dornfeld, David A.; Helu, Moneer; Rachuri, Sudarsan

    2017-01-01

    Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based, energy prediction models have been proposed in the past to understand the energy usage pattern of a machine tool. However, uncertainties in both the machine and the operating environment make it difficult to predict the energy consumption of the target machine reliably. Taking advantage of the opportunity to collect extensive, contextual, energy-consumption data, we discuss a data-driven approach to develop an energy prediction model of a machine tool in this paper. First, we present a methodology that can efficiently and effectively collect and process data extracted from a machine tool and its sensors. We then present a data-driven model that can be used to predict the energy consumption of the machine tool for machining a generic part. Specifically, we use Gaussian Process (GP) Regression, a non-parametric machine-learning technique, to develop the prediction model. The energy prediction model is then generalized over multiple process parameters and operations. Finally, we apply this generalized model with a method to assess uncertainty intervals to predict the energy consumed to machine any part using a Mori Seiki NVD1500 machine tool. Furthermore, the same model can be used during process planning to optimize the energy-efficiency of a machining process. PMID:28652687

  9. Towards a generalized energy prediction model for machine tools.

    PubMed

    Bhinge, Raunak; Park, Jinkyoo; Law, Kincho H; Dornfeld, David A; Helu, Moneer; Rachuri, Sudarsan

    2017-04-01

    Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based, energy prediction models have been proposed in the past to understand the energy usage pattern of a machine tool. However, uncertainties in both the machine and the operating environment make it difficult to predict the energy consumption of the target machine reliably. Taking advantage of the opportunity to collect extensive, contextual, energy-consumption data, we discuss a data-driven approach to develop an energy prediction model of a machine tool in this paper. First, we present a methodology that can efficiently and effectively collect and process data extracted from a machine tool and its sensors. We then present a data-driven model that can be used to predict the energy consumption of the machine tool for machining a generic part. Specifically, we use Gaussian Process (GP) Regression, a non-parametric machine-learning technique, to develop the prediction model. The energy prediction model is then generalized over multiple process parameters and operations. Finally, we apply this generalized model with a method to assess uncertainty intervals to predict the energy consumed to machine any part using a Mori Seiki NVD1500 machine tool. Furthermore, the same model can be used during process planning to optimize the energy-efficiency of a machining process.

  10. International Cooperation in Energy Policy: Impacts on Development in Third World Nations.

    ERIC Educational Resources Information Center

    Preda, Michael A.; Hudspeth, Ernest M., Jr.

    Arranged into four parts, the paper discusses the importance of international and institutional cooperation and the appropriate use of technology in the search for new and renewable energy sources. The first part of the paper discusses the inevitable depletion of the world's oil supply, the increasing interdependency of nations, the implications…

  11. Validation of a national hydrological model

    NASA Astrophysics Data System (ADS)

    McMillan, H. K.; Booker, D. J.; Cattoën, C.

    2016-10-01

    Nationwide predictions of flow time-series are valuable for development of policies relating to environmental flows, calculating reliability of supply to water users, or assessing risk of floods or droughts. This breadth of model utility is possible because various hydrological signatures can be derived from simulated flow time-series. However, producing national hydrological simulations can be challenging due to strong environmental diversity across catchments and a lack of data available to aid model parameterisation. A comprehensive and consistent suite of test procedures to quantify spatial and temporal patterns in performance across various parts of the hydrograph is described and applied to quantify the performance of an uncalibrated national rainfall-runoff model of New Zealand. Flow time-series observed at 485 gauging stations were used to calculate Nash-Sutcliffe efficiency and percent bias when simulating between-site differences in daily series, between-year differences in annual series, and between-site differences in hydrological signatures. The procedures were used to assess the benefit of applying a correction to the modelled flow duration curve based on an independent statistical analysis. They were used to aid understanding of climatological, hydrological and model-based causes of differences in predictive performance by assessing multiple hypotheses that describe where and when the model was expected to perform best. As the procedures produce quantitative measures of performance, they provide an objective basis for model assessment that could be applied when comparing observed daily flow series with competing simulated flow series from any region-wide or nationwide hydrological model. Model performance varied in space and time with better scores in larger and medium-wet catchments, and in catchments with smaller seasonal variations. Surprisingly, model performance was not sensitive to aquifer fraction or rain gauge density.

  12. Interacting holographic dark energy models: a general approach

    NASA Astrophysics Data System (ADS)

    Som, S.; Sil, A.

    2014-08-01

    Dark energy models inspired by the cosmological holographic principle are studied in homogeneous isotropic spacetime with a general choice for the dark energy density . Special choices of the parameters enable us to obtain three different holographic models, including the holographic Ricci dark energy (RDE) model. Effect of interaction between dark matter and dark energy on the dynamics of those models are investigated for different popular forms of interaction. It is found that crossing of phantom divide can be avoided in RDE models for β>0.5 irrespective of the presence of interaction. A choice of α=1 and β=2/3 leads to a varying Λ-like model introducing an IR cutoff length Λ -1/2. It is concluded that among the popular choices an interaction of the form Q∝ Hρ m suits the best in avoiding the coincidence problem in this model.

  13. Advanced energy systems and technologies - National R and D programme

    NASA Astrophysics Data System (ADS)

    Lund, P. D.

    1992-08-01

    The energy R and D in Finland is accomplished through the energy research programs of the Ministry of Trade and Industry. Today there are some 12 R and D programs in operation covering the various aspects of the energy sector. The NEMO-program deals with advanced new energy technologies and systems. The NEMO-program was launched in 1988 and it ends at the end of 1992. Helsinki University of Technology has been responsible for the coordination and most of the universities, research centers, and companies on new advanced energy technologies have been involved in the realization of NEMO. The objectives of the program have been to assess the potential of new technologies in the Finnish energy supply system, encourage and support businesses, and to create necessary research tradition in Finland. At the beginning in year 1988, several new technologies were included, but as the knowledge has increased, focusing on the most promising fields has taken place. Wind and solar energy show the best promises in respect to business activities and possibilities for utilization in Finland. Energy storage some other advanced technologies such as fuel cells and hydrogen technologies represented in the NEMO-program have an important role, but the commercial applications lie more distant in the future. The NEMO-program has reached its objectives. The international evaluation in fall 1990 gave very positive feedback and the scientific quality of the work was found good. At the same time, the contents was still focused more on commercial applications to support national industries in the field. The descriptions of the ongoing NEMO research projects are included in this report.

  14. 76 FR 76153 - Allco Renewable Energy Limited v. Massachusetts Electric Company d/b/a National Grid; Notice of...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-12-06

    ... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Docket No. EL12-12-000] Allco Renewable Energy Limited v. Massachusetts Electric Company d/b/a National Grid; Notice of Complaint Take notice... Public Utilities Regulatory Policies Act (PURPA), Allco Renewable Energy Limited filed a formal complaint...

  15. Oneida Tribe of Indians of Wisconsin Energy Optimization Model

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

    Troge, Michael

    2014-12-01

    Oneida Nation is located in Northeast Wisconsin. The reservation is approximately 96 square miles (8 miles x 12 miles), or 65,000 acres. The greater Green Bay area is east and adjacent to the reservation. A county line roughly splits the reservation in half; the west half is in Outagamie County and the east half is in Brown County. Land use is predominantly agriculture on the west 2/3 and suburban on the east 1/3 of the reservation. Nearly 5,000 tribally enrolled members live in the reservation with a total population of about 21,000. Tribal ownership is scattered across the reservation andmore » is about 23,000 acres. Currently, the Oneida Tribe of Indians of Wisconsin (OTIW) community members and facilities receive the vast majority of electrical and natural gas services from two of the largest investor-owned utilities in the state, WE Energies and Wisconsin Public Service. All urban and suburban buildings have access to natural gas. About 15% of the population and five Tribal facilities are in rural locations and therefore use propane as a primary heating fuel. Wood and oil are also used as primary or supplemental heat sources for a small percent of the population. Very few renewable energy systems, used to generate electricity and heat, have been installed on the Oneida Reservation. This project was an effort to develop a reasonable renewable energy portfolio that will help Oneida to provide a leadership role in developing a clean energy economy. The Energy Optimization Model (EOM) is an exploration of energy opportunities available to the Tribe and it is intended to provide a decision framework to allow the Tribe to make the wisest choices in energy investment with an organizational desire to establish a renewable portfolio standard (RPS).« less

  16. 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.

  17. A high-resolution integrated model of the National Ignition Campaign cryogenic layered experiments

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

    Jones, O. S.; Cerjan, C. J.; Marinak, M. M.

    A detailed simulation-based model of the June 2011 National Ignition Campaign cryogenic DT experiments is presented. The model is based on integrated hohlraum-capsule simulations that utilize the best available models for the hohlraum wall, ablator, and DT equations of state and opacities. The calculated radiation drive was adjusted by changing the input laser power to match the experimentally measured shock speeds, shock merger times, peak implosion velocity, and bangtime. The crossbeam energy transfer model was tuned to match the measured time-dependent symmetry. Mid-mode mix was included by directly modeling the ablator and ice surface perturbations up to mode 60. Simulatedmore » experimental values were extracted from the simulation and compared against the experiment. Although by design the model is able to reproduce the 1D in-flight implosion parameters and low-mode asymmetries, it is not able to accurately predict the measured and inferred stagnation properties and levels of mix. In particular, the measured yields were 15%-40% of the calculated yields, and the inferred stagnation pressure is about 3 times lower than simulated.« less

  18. Capsule modeling of high foot implosion experiments on the National Ignition Facility

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

    Clark, D. S.; Kritcher, A. L.; Milovich, J. L.

    This study summarizes the results of detailed, capsule-only simulations of a set of high foot implosion experiments conducted on the National Ignition Facility (NIF). These experiments span a range of ablator thicknesses, laser powers, and laser energies, and modeling these experiments as a set is important to assess whether the simulation model can reproduce the trends seen experimentally as the implosion parameters were varied. Two-dimensional (2D) simulations have been run including a number of effects—both nominal and off-nominal—such as hohlraum radiation asymmetries, surface roughness, the capsule support tent, and hot electron pre-heat. Selected three-dimensional simulations have also been run tomore » assess the validity of the 2D axisymmetric approximation. As a composite, these simulations represent the current state of understanding of NIF high foot implosion performance using the best and most detailed computational model available. While the most detailed simulations show approximate agreement with the experimental data, it is evident that the model remains incomplete and further refinements are needed. Nevertheless, avenues for improved performance are clearly indicated.« less

  19. Capsule modeling of high foot implosion experiments on the National Ignition Facility

    DOE PAGES

    Clark, D. S.; Kritcher, A. L.; Milovich, J. L.; ...

    2017-03-21

    This study summarizes the results of detailed, capsule-only simulations of a set of high foot implosion experiments conducted on the National Ignition Facility (NIF). These experiments span a range of ablator thicknesses, laser powers, and laser energies, and modeling these experiments as a set is important to assess whether the simulation model can reproduce the trends seen experimentally as the implosion parameters were varied. Two-dimensional (2D) simulations have been run including a number of effects—both nominal and off-nominal—such as hohlraum radiation asymmetries, surface roughness, the capsule support tent, and hot electron pre-heat. Selected three-dimensional simulations have also been run tomore » assess the validity of the 2D axisymmetric approximation. As a composite, these simulations represent the current state of understanding of NIF high foot implosion performance using the best and most detailed computational model available. While the most detailed simulations show approximate agreement with the experimental data, it is evident that the model remains incomplete and further refinements are needed. Nevertheless, avenues for improved performance are clearly indicated.« less

  20. Energy | Argonne National Laboratory

    Science.gov Websites

    Biology IMEInstitute for Molecular Engineering JCESRJoint Center for Energy Storage Research MCSGMidwest Science and Engineering RISCRisk and Infrastructure Science Center SBCStructural Biology Center Energy.gov

  1. Demonstration of reduced-order urban scale building energy models

    DOE PAGES

    Heidarinejad, Mohammad; Mattise, Nicholas; Dahlhausen, Matthew; ...

    2017-09-08

    The aim of this study is to demonstrate a developed framework to rapidly create urban scale reduced-order building energy models using a systematic summary of the simplifications required for the representation of building exterior and thermal zones. These urban scale reduced-order models rely on the contribution of influential variables to the internal, external, and system thermal loads. OpenStudio Application Programming Interface (API) serves as a tool to automate the process of model creation and demonstrate the developed framework. The results of this study show that the accuracy of the developed reduced-order building energy models varies only up to 10% withmore » the selection of different thermal zones. In addition, to assess complexity of the developed reduced-order building energy models, this study develops a novel framework to quantify complexity of the building energy models. Consequently, this study empowers the building energy modelers to quantify their building energy model systematically in order to report the model complexity alongside the building energy model accuracy. An exhaustive analysis on four university campuses suggests that the urban neighborhood buildings lend themselves to simplified typical shapes. Specifically, building energy modelers can utilize the developed typical shapes to represent more than 80% of the U.S. buildings documented in the CBECS database. One main benefits of this developed framework is the opportunity for different models including airflow and solar radiation models to share the same exterior representation, allowing a unifying exchange data. Altogether, the results of this study have implications for a large-scale modeling of buildings in support of urban energy consumption analyses or assessment of a large number of alternative solutions in support of retrofit decision-making in the building industry.« less

  2. Demonstration of reduced-order urban scale building energy models

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

    Heidarinejad, Mohammad; Mattise, Nicholas; Dahlhausen, Matthew

    The aim of this study is to demonstrate a developed framework to rapidly create urban scale reduced-order building energy models using a systematic summary of the simplifications required for the representation of building exterior and thermal zones. These urban scale reduced-order models rely on the contribution of influential variables to the internal, external, and system thermal loads. OpenStudio Application Programming Interface (API) serves as a tool to automate the process of model creation and demonstrate the developed framework. The results of this study show that the accuracy of the developed reduced-order building energy models varies only up to 10% withmore » the selection of different thermal zones. In addition, to assess complexity of the developed reduced-order building energy models, this study develops a novel framework to quantify complexity of the building energy models. Consequently, this study empowers the building energy modelers to quantify their building energy model systematically in order to report the model complexity alongside the building energy model accuracy. An exhaustive analysis on four university campuses suggests that the urban neighborhood buildings lend themselves to simplified typical shapes. Specifically, building energy modelers can utilize the developed typical shapes to represent more than 80% of the U.S. buildings documented in the CBECS database. One main benefits of this developed framework is the opportunity for different models including airflow and solar radiation models to share the same exterior representation, allowing a unifying exchange data. Altogether, the results of this study have implications for a large-scale modeling of buildings in support of urban energy consumption analyses or assessment of a large number of alternative solutions in support of retrofit decision-making in the building industry.« less

  3. Walking model with no energy cost.

    PubMed

    Gomes, Mario; Ruina, Andy

    2011-03-01

    We have numerically found periodic collisionless motions of a walking model consisting of linked rigid objects. Unlike previous designs, this model can walk on level ground at noninfinitesimal speed with zero energy input. The model avoids collisional losses by using an internal mode of oscillation: swaying of the upper body coupled to the legs by springs. Appropriate synchronized internal oscillations set the foot-strike collision to zero velocity. The concept might be of use for energy-efficient robots and may also help to explain aspects of human and animal locomotion efficiency.

  4. A Labor Market Analysis of the Electricity Sector for 2030 using the National Energy with Weather System Simulator

    NASA Astrophysics Data System (ADS)

    Terry, L.; Clack, C.; Marquis, M.; Paine, J.; Picciano, P.

    2015-12-01

    We conducted an analysis that utilized the National Renewable Energy Laboratory's (NREL) Jobs and Economic Development Impact (JEDI) models to estimate the temporary and permanent jobs, earnings, and state sales tax revenues that would be created by various scenarios of the National Energy with Weather System (NEWS) simulator. This simulator was created by a collaboration between the Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado and the Earth Systems Research Laboratory (ESRL NOAA). The NEWS simulator used three years of high-resolution (13-km, hourly) weather and power data to select the most cost-efficient, resource-maximizing, and complementary locations for wind, solar photovoltaic, and natural gas power plants along with high-voltage direct-current transmission, thereby providing the cheapest possible electricity grid that facilitates the incorporation of large amounts of wind and solar PV. We applied various assumptions to ensure that we produced conservative estimates, while keeping costs in line with those of the NEWS simulator. Our analysis shows that under the lowest carbon-emitting scenario of the NEWS carried out (80% reduction in CO2 compared with 1990 levels), almost ten million new jobs could be created by 2030. Of those jobs, over 400,000 would be permanently supporting the operations of the power plants. That particular scenario would also add over 500 billion to the paychecks of American workers and 75 billion to state tax revenues by 2030. All of this is achieved with average electricity costs of 10.7¢/kWh, because the electric system relies less heavily on fuel and more on jobs constructing, operating, and maintaining infrastructure. We use the current presentation to describe the methods used to reach these findings and examine some potential impacts of our estimates on public policy. Although we are able to identify some systematic problems with the JEDI model, we find that these problems

  5. Returning vacationers face heavy reading loads. [Reports, surveys and projections on the national energy supply

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

    Berg, T.F.

    1991-10-01

    This article reviews the various reports, surveys and projections on the national energy supply of the summer of 1991. Discussed are the natural gas supplies, competitive electric power production, reliability of independent power, public attitudes toward natural gas, the market share of natural gas, and projection of US energy supply and demand.

  6. Impact of Extended Daylight Saving Time on National Energy Consumption Report to Congress

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

    Belzer, D. B.; Hadley, S. W.; Chin, S-M.

    2008-10-01

    The Energy Policy Act of 2005 (Pub. L. No. 109-58; EPAct 2005) amended the Uniform Time Act of 1966 (Pub. L. No. 89-387) to increase the portion of the year that is subject to Daylight Saving Time. (15 U.S.C. 260a note) EPAct 2005 extended the duration of Daylight Saving Time in the spring by changing its start date from the first Sunday in April to the second Sunday in March, and in the fall by changing its end date from the last Sunday in October to the first Sunday in November. (15 U.S.C. 260a note) EPAct 2005 also called formore » the Department of Energy to evaluate the impact of Extended Daylight Saving Time on energy consumption in the United States and to submit a report to Congress. (15 U.S.C. 260a note) This report presents the results of impacts of Extended Daylight Saving Time on the national energy consumption in the United States. The key findings are: (1) The total electricity savings of Extended Daylight Saving Time were about 1.3 Tera Watt-hour (TWh). This corresponds to 0.5 percent per each day of Extended Daylight Saving Time, or 0.03 percent of electricity consumption over the year. In reference, the total 2007 electricity consumption in the United States was 3,900 TWh. (2) In terms of national primary energy consumption, the electricity savings translate to a reduction of 17 Trillion Btu (TBtu) over the spring and fall Extended Daylight Saving Time periods, or roughly 0.02 percent of total U.S. energy consumption during 2007 of 101,000 TBtu. (3) During Extended Daylight Saving Time, electricity savings generally occurred over a three- to five-hour period in the evening with small increases in usage during the early-morning hours. On a daily percentage basis, electricity savings were slightly greater during the March (spring) extension of Extended Daylight Saving Time than the November (fall) extension. On a regional basis, some southern portions of the United States exhibited slightly smaller impacts of Extended Daylight Saving Time on energy

  7. A Petri Net model for distributed energy system

    NASA Astrophysics Data System (ADS)

    Konopko, Joanna

    2015-12-01

    Electrical networks need to evolve to become more intelligent, more flexible and less costly. The smart grid is the next generation power energy, uses two-way flows of electricity and information to create a distributed automated energy delivery network. Building a comprehensive smart grid is a challenge for system protection, optimization and energy efficient. Proper modeling and analysis is needed to build an extensive distributed energy system and intelligent electricity infrastructure. In this paper, the whole model of smart grid have been proposed using Generalized Stochastic Petri Nets (GSPN). The simulation of created model is also explored. The simulation of the model has allowed the analysis of how close the behavior of the model is to the usage of the real smart grid.

  8. Energy-balance climate models

    NASA Technical Reports Server (NTRS)

    North, G. R.; Cahalan, R. F.; Coakley, J. A., Jr.

    1980-01-01

    An introductory survey of the global energy balance climate models is presented with an emphasis on analytical results. A sequence of increasingly complicated models involving ice cap and radiative feedback processes are solved and the solutions and parameter sensitivities are studied. The model parameterizations are examined critically in light of many current uncertainties. A simple seasonal model is used to study the effects of changes in orbital elements on the temperature field. A linear stability theorem and a complete nonlinear stability analysis for the models are developed. Analytical solutions are also obtained for the linearized models driven by stochastic forcing elements. In this context the relation between natural fluctuation statistics and climate sensitivity is stressed.

  9. Energy balance climate models

    NASA Technical Reports Server (NTRS)

    North, G. R.; Cahalan, R. F.; Coakley, J. A., Jr.

    1981-01-01

    An introductory survey of the global energy balance climate models is presented with an emphasis on analytical results. A sequence of increasingly complicated models involving ice cap and radiative feedback processes are solved, and the solutions and parameter sensitivities are studied. The model parameterizations are examined critically in light of many current uncertainties. A simple seasonal model is used to study the effects of changes in orbital elements on the temperature field. A linear stability theorem and a complete nonlinear stability analysis for the models are developed. Analytical solutions are also obtained for the linearized models driven by stochastic forcing elements. In this context the relation between natural fluctuation statistics and climate sensitivity is stressed.

  10. National Bio-fuel Energy Laboratory

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

    Jezierski, Kelly

    2010-12-27

    The National Biofuel Energy Laboratory or NBEL was a consortia consisting of non-profits, universities, industry, and OEM’s. NextEnergy Center (NEC) in Detroit, Michigan was the prime with Wayne State University as the primary subcontractor. Other partners included: Art Van Furniture; Biodiesel Industries Inc. (BDI); Bosch; Clean Emission Fluids (CEF); Delphi; Oakland University; U.S. TARDEC (The Army); and later Cummins Bridgeway. The program was awarded to NextEnergy by U.S. DOE-NREL on July 1, 2005. The period of performance was about five (5) years, ending June 30, 2010. This program was executed in two phases: 1.Phase I focused on bench-scale R&D andmore » performance-property-relationships. 2.Phase II expanded those efforts into further engine testing, emissions testing, and on-road fleet testing of biodiesel using additional types of feedstock (i.e., corn, and choice white grease based). NextEnergy – a non-profit 501(c)(3) organization based in Detroit was originally awarded a $1.9 million grant from the U.S. Dept. of Energy for Phase I of the NBEL program. A few years later, NextEnergy and its partners received an additional $1.9MM in DOE funding to complete Phase II. The NBEL funding was completely exhausted by the program end date of June 30, 2010 and the cost share commitment of 20% minimum has been exceeded nearly two times over. As a result of the work performed by the NBEL consortia, the following successes were realized: 1.Over one hundred publications and presentations have been delivered by the NBEL consortia, including but not limited to: R&D efforts on algae-based biodiesel, novel heterogeneous catalysis, biodiesel properties from a vast array of feedstock blends, cold flow properties, engine testing results (several Society of Automotive Engineers [SAE] papers have been published on this research), emissions testing results, and market quality survey results. 2.One new spinoff company (NextCAT) was formed by two WSU Chemical Engineering

  11. United States Supports Distributed Wind Technology Improvements; NREL (National Renewable Energy Laboratory)

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

    Sinclair, Karin

    2015-06-15

    This presentation provides information on the activities conducted through the Competitiveness Improvement Project (CIP), initiated in 2012 by the U.S. Department of Energy (DOE) and executed through the National Renewable Energy Laboratory (NREL) to support the distributed wind industry. The CIP provides research and development funding and technical support to improve distributed wind turbine technology and increase the competitiveness of U.S. small and midsize wind turbine manufacturers. Through this project, DOE/NREL assists U.S. manufacturers to lower the levelized cost of energy of wind turbines through component improvements, manufacturing process upgrades, and turbine testing. Ultimately, this support is expected to leadmore » to turbine certification through testing to industry-recognized wind turbine performance and safety standards.« less

  12. The Variability and Intermittency of Wind and Solar Power Can Be Overcome Without Storage By Using the National Energy With Weather System (NEWS) Simulator To Design A National US Electric (and Energy) Sector

    NASA Astrophysics Data System (ADS)

    Clack, C.; MacDonald, A. E.; Wilczak, J. M.; Alexander, A.; Dunbar, A. D.; Xie, Y.; Picciano, P.; Paine, J.; Terry, L.; Marquis, M.

    2015-12-01

    The importance of weather-driven renewable energies for the United States energy portfolio is growing. The main perceived problems with weather-driven renewable energies are their intermittent nature, low power density, and high costs. The Cooperative Institute for the Research in Environmental Sciences at the University of Colorado collaborated with the Earth Systems Research Laboratory of the National Oceanic and Atmospheric Administration to construct a mathematical optimization of a reduced form of the US electric sector. Care was taken to retain salient features of the electric sector, while allowing for detailed weather and power data to be incorporated for wind and solar energies. The National Energy with Weather System (NEWS) simulator was created. With the NEWS simulator tests can be performed that are unique and insightful. The simulator can maintain the status quo and build out a system following costs or imposed targets for carbon dioxide emission reductions. It can find the least cost electric sector for each state, or find a national power system that incorporates vast amounts of variable generation. In the current presentation, we will focus on one of the most unique aspects of the NEWS simulator; the ability to specify a specific amount of wind and/or solar each hour for a three-year historical period for the least total cost. The simulator can find where to place wind and solar to reduce variability (ramping requirements for back-up generators). The amount of variable generation each hour is very different to an RPS type standard because the generators need to work in concert for long periods of time. The results indicate that for very similar costs the amount of back-up generation (natural gas or storage) can be reduced significantly.

  13. Characteristics associated with consumption of sports and energy drinks among US adults: National Health Interview Survey, 2010.

    PubMed

    Park, Sohyun; Onufrak, Stephen; Blanck, Heidi M; Sherry, Bettylou

    2013-01-01

    Sales of sports and energy drinks have increased dramatically, but there is limited information on regular consumers of sports and energy drinks. Characteristics associated with sports and energy drink intake were examined among a sample representing the civilian noninstitutionalized US adult population. The 2010 National Health Interview Survey data for 25,492 adults (18 years of age or older; 48% males) were used. Nationwide, 31.3% of adults were sports and energy drink consumers during the past 7 days, with 21.5% consuming sports and energy drinks one or more times per week and 11.5% consuming sports and energy drinks three or more times per week. Based on multivariable logistic regression, younger adults, males, non-Hispanic blacks and Hispanics, not-married individuals, adults with higher family income, those who lived in the South or West, adults who engaged in leisure-time physical activity, current smokers, and individuals whose satisfaction with their social activities/relationships was excellent had significantly higher odds for drinking sports and energy drinks one or more times per week. In this model, the factor most strongly associated with weekly sports and energy drink consumption was age (odds ratio [OR]=10.70 for 18- to 24-year-olds, OR=6.40 for 25- to 39-year-olds, OR=3.17 for 40- to 59-year-olds vs 60 years or older). Lower odds for consuming sports and energy drinks one or more times per week were associated with other/multiracial (OR=0.80 vs non-Hispanic white) and obesity (OR=0.87 vs underweight/normal weight). Separate modeling of the association between other beverage intake and sports and energy drink intake showed that higher intake of regular soda, sweetened coffee/tea drinks, fruit drinks, milk, 100% fruit juice, and alcohol were significantly associated with greater odds for drinking sports and energy drinks one or more times per week. These findings can help medical care providers and public health officials identify adults most in

  14. HOMER® Energy Modeling Software

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

    Lambert, Tom

    2000-12-31

    The HOMER® energy modeling software is a tool for designing and analyzing hybrid power systems, which contain a mix of conventional generators, cogeneration, wind turbines, solar photovoltaic, hydropower, batteries, fuel cells, hydropower, biomass and other inputs.

  15. National water, food, and trade modeling framework: The case of Egypt.

    PubMed

    Abdelkader, A; Elshorbagy, A; Tuninetti, M; Laio, F; Ridolfi, L; Fahmy, H; Hoekstra, A Y

    2018-10-15

    This paper introduces a modeling framework for the analysis of real and virtual water flows at national scale. The framework has two components: (1) a national water model that simulates agricultural, industrial and municipal water uses, and available water and land resources; and (2) an international virtual water trade model that captures national virtual water exports and imports related to trade in crops and animal products. This National Water, Food & Trade (NWFT) modeling framework is applied to Egypt, a water-poor country and the world's largest importer of wheat. Egypt's food and water gaps and the country's food (virtual water) imports are estimated over a baseline period (1986-2013) and projected up to 2050 based on four scenarios. Egypt's food and water gaps are growing rapidly as a result of steep population growth and limited water resources. The NWFT modeling framework shows the nexus of the population dynamics, water uses for different sectors, and their compounding effects on Egypt's food gap and water self-sufficiency. The sensitivity analysis reveals that for solving Egypt's water and food problem non-water-based solutions like educational, health, and awareness programs aimed at lowering population growth will be an essential addition to the traditional water resources development solution. Both the national and the global models project similar trends of Egypt's food gap. The NWFT modeling framework can be easily adapted to other nations and regions. Copyright © 2018. Published by Elsevier B.V.

  16. NATIONAL ENVIRONMENTAL/ENERGY WORKFORCE ASSESSMENT. ENERGY PROGRAMS

    EPA Science Inventory

    The programs included in this volume are evidence that people are doing more than just talking about our energy future. In addition to well-established programs in nuclear engineering, mining, petroleum and natural gas technology and engineering, there are programs in energy conv...

  17. Protein homology model refinement by large-scale energy optimization.

    PubMed

    Park, Hahnbeom; Ovchinnikov, Sergey; Kim, David E; DiMaio, Frank; Baker, David

    2018-03-20

    Proteins fold to their lowest free-energy structures, and hence the most straightforward way to increase the accuracy of a partially incorrect protein structure model is to search for the lowest-energy nearby structure. This direct approach has met with little success for two reasons: first, energy function inaccuracies can lead to false energy minima, resulting in model degradation rather than improvement; and second, even with an accurate energy function, the search problem is formidable because the energy only drops considerably in the immediate vicinity of the global minimum, and there are a very large number of degrees of freedom. Here we describe a large-scale energy optimization-based refinement method that incorporates advances in both search and energy function accuracy that can substantially improve the accuracy of low-resolution homology models. The method refined low-resolution homology models into correct folds for 50 of 84 diverse protein families and generated improved models in recent blind structure prediction experiments. Analyses of the basis for these improvements reveal contributions from both the improvements in conformational sampling techniques and the energy function.

  18. Final Report for Clean, Reliable, Affordable Energy that Reflects the Values of the Pinoleville Pomo Nation

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

    Steele, Lenora; Sampsel, Zachary N

    This report aims to present and analyze information on the potential of renewable energy power systems and electric vehicle charging near the Pinoleville Pomo Nation in Ukiah, California to provide an environmentally-friendly, cost-effective energy and transportation options for development. For each renewable energy option we examine, solar, wind, microhydro, and biogas in this case, we compiled technology and cost information for construction, estimates of energy capacity, and data on electricity exports rates.

  19. Ethics of energy production and use: debate within the National Council of Churches

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

    Harnik, P.

    1979-02-01

    An Energy Policy Statement emanating from a panel for the National Council of Churches (NCC) in the United States was presented in May 1978 to the governing board of the NCC. The proposed Energy Policy Statement is composed of four sections: Opinions and Perspectives, Theological Dimensions of the Energy Situation, Ecological Justice and Human choice, and A Challenge to the Churches. Controversy concerning the proposed plan was great. The controversy on nuclear energy is specifically described. While the NCC was anti-nuclear, the World Council of Churches was tilting toward nuclear power. The NCC focused on ethics of energy and themore » WCC is not focusing on ethics; its nuclear statement does not constitute policy; and another WCC committee is aggressively promoting conservation and appropriate technology. The lessons drawn from the NCC debate are summarized. (MCW)« less

  20. Safeguards Options for Natural Uranium Conversion Facilities ? A Collaborative Effort between the U.S. Department of Energy (DOE) and the National Nuclear Energy Commission of Brazil (CNEN)

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

    Raffo-Caiado, Ana Claudia; Begovich, John M; Ferrada, Juan J

    2008-01-01

    In 2005, the National Nuclear Energy Commission of Brazil (CNEN) and the U.S. Department of Energy (DOE) agreed on a collaborative effort to evaluate measures that can strengthen the effectiveness of international safeguards at a natural uranium conversion plant (NUCP). The work was performed by DOE's Oak Ridge National Laboratory and CNEN. A generic model of an NUCP was developed and typical processing steps were defined. The study, completed in early 2007, identified potential safeguards measures and evaluated their effectiveness and impacts on operations. In addition, advanced instrumentation and techniques for verification purposes were identified and investigated. The scope ofmore » the work was framed by the International Atomic Energy Agency's (IAEA's) 2003 revised policy concerning the starting point of safeguards at uranium conversion facilities. Before this policy, only the final products of the uranium conversion plant were considered to be of composition and purity suitable for use in the nuclear fuel cycle and, therefore, subject to AEA safeguards control. DOE and CNEN have explored options for implementing the IAEA policy, although Brazil understands that the new policy established by the IAEA is beyond the framework of the Quadripartite Agreement of which it is one of the parties, together with Argentina, the Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials, and the IAEA. This paper highlights the findings of this joint collaborative effort and identifies technical measures to strengthen international safeguards in NUCPs.« less

  1. Short communication: Evaluation of the PREP10 energy-, protein-, and amino acid-allowable milk equations in comparison with the National Research Council model.

    PubMed

    White, Robin R; McGill, Tyler; Garnett, Rebecca; Patterson, Robert J; Hanigan, Mark D

    2017-04-01

    The objective of this work was to evaluate the precision and accuracy of the milk yield predictions made by the PREP10 model in comparison to those from the National Research Council (NRC) Nutrient Requirements of Dairy Cattle. The PREP10 model is a ration-balancing system that allows protein use efficiency to vary with production level. The model also has advanced AA supply and requirement calculations that enable estimation of AA-allowable milk (Milk AA ) based on 10 essential AA. A literature data set of 374 treatment means was collected and used to quantitatively evaluate the estimates of protein-allowable milk (Milk MP ) and energy-allowable milk yields from the NRC and PREP10 models. The PREP10 Milk AA prediction was also evaluated, as were both models' estimates of milk based on the most-limiting nutrient or the mean of the estimated milk yields. For most milk estimates compared, the PREP10 model had reduced root mean squared prediction error (RMSPE), improved concordance correlation coefficient, and reduced mean and slope bias in comparison to the NRC model. In particular, utilizing the variable protein use efficiency for milk production notably improved the estimate of Milk MP when compared with NRC. The PREP10 Milk MP estimate had an RMSPE of 18.2% (NRC = 25.7%), concordance correlation coefficient of 0.82% (NRC = 0.64), slope bias of -0.14 kg/kg of predicted milk (NRC = -0.34 kg/kg), and mean bias of -0.63 kg (NRC = -2.85 kg). The PREP10 estimate of Milk AA had slightly elevated RMSPE and mean and slope bias when compared with Milk MP . The PREP10 estimate of Milk AA was not advantageous when compared with Milk MP , likely because AA use efficiency for milk was constant whereas MP use was variable. Future work evaluating variable AA use efficiencies for milk production is likely to improve accuracy and precision of models of allowable milk. Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  2. Data Integration Plans for the NOAA National Climate Model Portal (NCMP) (Invited)

    NASA Astrophysics Data System (ADS)

    Rutledge, G. K.; Williams, D. N.; Deluca, C.; Hankin, S. C.; Compo, G. P.

    2010-12-01

    / Earth System Research Laboratory (ESRL) Twentieth Century Reanalysis Project data set (20CR, G. Compo, et al.), a historical reanalysis that will provide climate information dating back to 1850 to the present; and 3) the CPC’s Upper Air Reanlaysis. NCMP will advance the highly successful NOAA National Operational Model Archive and Distribution System (NOMADS, Rutledge, BAMS 2006), and standards already in use including Unidata’s THREDDS (TDS), PMEL’s Live Access Server (LAS) and the GrADS Data Server (GDS) from COLA; the Department of Energy (DOE) Earth System Grid (ESG) and the associated IPCC Climate model archive located at the Program for Climate Model Diagnostics and Inter-comparison (PCMDI) through the ESG; and NOAA’s Unified Access Framework (UAF) effort; and core standards developed by Open Geospatial Consortium (OGC). The format neutral OPeNDAP protocol as used in the NOMADS system will also be a key aspect of the design of NCMP.

  3. Solar energy to meet the nation's energy needs

    NASA Technical Reports Server (NTRS)

    Rom, F. E.; Thomas, R. L.

    1973-01-01

    Solar energy, being a non-depleting clean source of energy, is shown to be capable of providing energy in all the forms in which it is used today. It can be used to generate electricity, for heating and cooling buildings, and for producing clean renewable gaseous, liquid and solid fuel. There is little question of the technical feasibility for utilizing solar energy. The chief problem is rapidly providing innovative solutions that are economically competititive with other systems.

  4. A Petri Net model for distributed energy system

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

    Konopko, Joanna

    2015-12-31

    Electrical networks need to evolve to become more intelligent, more flexible and less costly. The smart grid is the next generation power energy, uses two-way flows of electricity and information to create a distributed automated energy delivery network. Building a comprehensive smart grid is a challenge for system protection, optimization and energy efficient. Proper modeling and analysis is needed to build an extensive distributed energy system and intelligent electricity infrastructure. In this paper, the whole model of smart grid have been proposed using Generalized Stochastic Petri Nets (GSPN). The simulation of created model is also explored. The simulation of themore » model has allowed the analysis of how close the behavior of the model is to the usage of the real smart grid.« less

  5. An energy-consistent fracture model for ferroelectrics

    NASA Astrophysics Data System (ADS)

    Miao, Hongchen; Li, Faxin

    2017-02-01

    The fracture behavior of ferroelectrics has been intensively studied in recent decades, though currently a widely accepted fracture mechanism is still lacking. In this work, enlightened by previous experimental observations that crack propagation in ferroelectrics is always accompanied by domain switching, we propose a micromechanical model in which both crack propagation and domain switching are controlled by energy-based criteria. Both electric energy and mechanical energy can induce domain switching, while only mechanical energy can drive crack propagation. Furthermore, constrained domain switching is considered in this model, leading to the gradient domain switching zone near the crack tip. Analysis results show that stress-induced ferroelastic switching always has a toughening effect as the mechanical energy release rate serves as the driving force for both fracture and domain switching. In comparison, the electric-field-induced switching may have either a toughening or detoughening effect. The proposed model can qualitatively agree with the existing experimental results.

  6. Assumptions to the annual energy outlook 1999 : with projections to 2020

    DOT National Transportation Integrated Search

    1998-12-16

    This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to : generate the projections in the Annual Energy Outlook 19991 (AEO99), including general features of : the model structure, assumptions concerning energy ...

  7. Comparing projections of industrial energy demand and greenhouse gas emissions in long-term energy models

    DOE PAGES

    Edelenbosch, O. Y.; Kermeli, K.; Crijns-Graus, W.; ...

    2017-01-09

    The industry sector consumes more energy and emits more greenhouse gas (GHG) emissions than any other end-use sector. Integrated assessment models (IAMs) and energy system models have been widely used to evaluate climate policy at a global level, and include a representation of industrial energy use. In this study, the projected industrial energy use and accompanying GHG emissions, as well as the model structure of multiple long-term energy models are compared. The models show varying degrees to which energy consumption is decoupled from GDP growth in the future. In all models, the sector remains mostly (>50%) reliant on fossil energymore » through 2100 in a reference scenario (i.e., absent emissions mitigation policies), though there is significant divergence in the projected ability to switch to alternative fuels to mitigate GHG emissions. Among the set analyzed here, the more technologically detailed models tend to have less capacity for switching from fossil fuels to electricity. This highlights the importance of understanding of economy-wide mitigation responses and costs as an area for future improvement. Analyzing industry subsector material and energy use details can improve the ability to interpret results, and provide insight in feasibility of how emissions reduction can be achieved.« less

  8. Comparing projections of industrial energy demand and greenhouse gas emissions in long-term energy models

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

    Edelenbosch, O. Y.; Kermeli, K.; Crijns-Graus, W.

    The industry sector consumes more energy and emits more greenhouse gas (GHG) emissions than any other end-use sector. Integrated assessment models (IAMs) and energy system models have been widely used to evaluate climate policy at a global level, and include a representation of industrial energy use. In this study, the projected industrial energy use and accompanying GHG emissions, as well as the model structure of multiple long-term energy models are compared. The models show varying degrees to which energy consumption is decoupled from GDP growth in the future. In all models, the sector remains mostly (>50%) reliant on fossil energymore » through 2100 in a reference scenario (i.e., absent emissions mitigation policies), though there is significant divergence in the projected ability to switch to alternative fuels to mitigate GHG emissions. Among the set analyzed here, the more technologically detailed models tend to have less capacity for switching from fossil fuels to electricity. This highlights the importance of understanding of economy-wide mitigation responses and costs as an area for future improvement. Analyzing industry subsector material and energy use details can improve the ability to interpret results, and provide insight in feasibility of how emissions reduction can be achieved.« less

  9. Proceedings of the 1978 National Conference on Technology for Energy Conservation (Albuquerque, New Mexico, January 24-27, 1978).

    ERIC Educational Resources Information Center

    Information Transfer, Inc., Rockville, MD.

    This publication contains the proceedings of the National Conference on Technology for Energy Conservation held in January 1978, in Albuquerque, New Mexico. The 112 papers included are organized under the following topics: (1) Legal Considerations; (2) Energy from Biomass; (3) Energy Conservation in Agriculture; (4) Status of Energy Conservation;…

  10. Economic Assessment of Correlated Energy-Water Impacts using Computable General Equilibrium Modeling

    NASA Astrophysics Data System (ADS)

    Qiu, F.; Andrew, S.; Wang, J.; Yan, E.; Zhou, Z.; Veselka, T.

    2016-12-01

    Many studies on energy and water are rightfully interested in the interaction of water and energy, and their projected dependence into the future. Water is indeed an essential input to the power sector currently, and energy is required to pump water for end use in either household consumption or in industrial uses. However, each presented study either qualitatively discusses the issues, particularly about how better understanding the interconnectedness of the system is paramount in getting better policy recommendations, or considers a partial equilibrium framework where water use and energy use changes are considered explicitly without thought to other repercussions throughout the regional/national/international economic landscapes. While many studies are beginning to ask the right questions, the lack of numerical rigor raises questions of concern in conclusions discerned. Most use life cycle analysis as a method for providing numerical results, though this lacks the flexibility that economics can provide. In this study, we will perform economic analysis using computable general equilibrium models with energy-water interdependencies captured as an important factor. We atempt to answer important and interesting questions in the studies: how can we characterize the economic choice of energy technology adoptions and their implications on water use in the domestic economy. Moreover, given predictions of reductions in rain fall in the near future, how does this impact the water supply in the midst of this energy-water trade-off?

  11. Improving National Water Modeling: An Intercomparison of two High-Resolution, Continental Scale Models, CONUS-ParFlow and the National Water Model

    NASA Astrophysics Data System (ADS)

    Tijerina, D.; Gochis, D.; Condon, L. E.; Maxwell, R. M.

    2017-12-01

    Development of integrated hydrology modeling systems that couple atmospheric, land surface, and subsurface flow is growing trend in hydrologic modeling. Using an integrated modeling framework, subsurface hydrologic processes, such as lateral flow and soil moisture redistribution, are represented in a single cohesive framework with surface processes like overland flow and evapotranspiration. There is a need for these more intricate models in comprehensive hydrologic forecasting and water management over large spatial areas, specifically the Continental US (CONUS). Currently, two high-resolution, coupled hydrologic modeling applications have been developed for this domain: CONUS-ParFlow built using the integrated hydrologic model ParFlow and the National Water Model that uses the NCAR Weather Research and Forecasting hydrological extension package (WRF-Hydro). Both ParFlow and WRF-Hydro include land surface models, overland flow, and take advantage of parallelization and high-performance computing (HPC) capabilities; however, they have different approaches to overland subsurface flow and groundwater-surface water interactions. Accurately representing large domains remains a challenge considering the difficult task of representing complex hydrologic processes, computational expense, and extensive data needs; both models have accomplished this, but have differences in approach and continue to be difficult to validate. A further exploration of effective methodology to accurately represent large-scale hydrology with integrated models is needed to advance this growing field. Here we compare the outputs of CONUS-ParFlow and the National Water Model to each other and with observations to study the performance of hyper-resolution models over large domains. Models were compared over a range of scales for major watersheds within the CONUS with a specific focus on the Mississippi, Ohio, and Colorado River basins. We use a novel set of approaches and analysis for this comparison

  12. Component Design Report: International Transportation Energy Demand Determinants Model

    EIA Publications

    2017-01-01

    This Component Design Report discusses working design elements for a new model to replace the International Transportation Model (ITran) in the World Energy Projection System Plus (WEPS ) that is maintained by the U.S. Energy Information Administration. The key objective of the new International Transportation Energy Demand Determinants (ITEDD) model is to enable more rigorous, quantitative research related to energy consumption in the international transportation sectors.

  13. Compressed Natural Gas and Liquefied Petroleum Gas Conversions: The National Renewable Energy Laboratory's Experience

    DOT National Transportation Integrated Search

    1996-04-01

    The National Renewable Energy Laboratory (NREL) contracted with conversion : companies in six states to convert approximately 900 light-duty Federal fleet : vehicles to operate on compressed natural gas (CNG) or liquefied petroleum gas : (LPG). After...

  14. Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 2

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

    NONE

    The attachments contained within this appendix provide additional details about the model development and estimation process which do not easily lend themselves to incorporation in the main body of the model documentation report. The information provided in these attachments is not integral to the understanding of the model`s operation, but provides the reader with opportunity to gain a deeper understanding of some of the model`s underlying assumptions. There will be a slight degree of replication of materials found elsewhere in the documentation, made unavoidable by the dictates of internal consistency. Each attachment is associated with a specific component of themore » transportation model; the presentation follows the same sequence of modules employed in Volume 1. The following attachments are contained in Appendix F: Fuel Economy Model (FEM)--provides a discussion of the FEM vehicle demand and performance by size class models; Alternative Fuel Vehicle (AFV) Model--describes data input sources and extrapolation methodologies; Light-Duty Vehicle (LDV) Stock Model--discusses the fuel economy gap estimation methodology; Light Duty Vehicle Fleet Model--presents the data development for business, utility, and government fleet vehicles; Light Commercial Truck Model--describes the stratification methodology and data sources employed in estimating the stock and performance of LCT`s; Air Travel Demand Model--presents the derivation of the demographic index, used to modify estimates of personal travel demand; and Airborne Emissions Model--describes the derivation of emissions factors used to associate transportation measures to levels of airborne emissions of several pollutants.« less

  15. Energy Savings Analysis of the Proposed NYStretch-Energy Code 2018

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

    Liu, Bing; Zhang, Jian; Chen, Yan

    This study was conducted by the Pacific Northwest National Laboratory (PNNL) in support of the stretch energy code development led by the New York State Energy Research and Development Authority (NYSERDA). In 2017 NYSERDA developed its 2016 Stretch Code Supplement to the 2016 New York State Energy Conservation Construction Code (hereinafter referred to as “NYStretch-Energy”). NYStretch-Energy is intended as a model energy code for statewide voluntary adoption that anticipates other code advancements culminating in the goal of a statewide Net Zero Energy Code by 2028. Since then, NYSERDA continues to develop the NYStretch-Energy Code 2018 edition. To support the effort,more » PNNL conducted energy simulation analysis to quantify the energy savings of proposed commercial provisions of the NYStretch-Energy Code (2018) in New York. The focus of this project is the 20% improvement over existing commercial model energy codes. A key requirement of the proposed stretch code is that it be ‘adoptable’ as an energy code, meaning that it must align with current code scope and limitations, and primarily impact building components that are currently regulated by local building departments. It is largely limited to prescriptive measures, which are what most building departments and design projects are most familiar with. This report describes a set of energy-efficiency measures (EEMs) that demonstrate 20% energy savings over ANSI/ASHRAE/IES Standard 90.1-2013 (ASHRAE 2013) across a broad range of commercial building types and all three climate zones in New York. In collaboration with New Building Institute, the EEMs were developed from national model codes and standards, high-performance building codes and standards, regional energy codes, and measures being proposed as part of the on-going code development process. PNNL analyzed these measures using whole building energy models for selected prototype commercial buildings and multifamily buildings representing buildings

  16. Urban Form Energy Use and Emissions in China: Preliminary Findings and Model Proof of Concept

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

    Aden, Nathaniel; Qin, Yining; Fridley, David

    Urbanization is reshaping China's economy, society, and energy system. Between 1990 and 2008 China added more than 300 million new urban residents, bringing the total urbanization rate to 46%. The ongoing population shift is spurring energy demand for new construction, as well as additional residential use with the replacement of rural biomass by urban commercial energy services. This project developed a modeling tool to quantify the full energy consequences of a particular form of urban residential development in order to identify energy- and carbon-efficient modes of neighborhood-level development and help mitigate resource and environmental implications of swelling cities. LBNL developedmore » an integrated modeling tool that combines process-based lifecycle assessment with agent-based building operational energy use, personal transport, and consumption modeling. The lifecycle assessment approach was used to quantify energy and carbon emissions embodied in building materials production, construction, maintenance, and demolition. To provide more comprehensive analysis, LBNL developed an agent-based model as described below. The model was applied to LuJing, a residential development in Jinan, Shandong Province, to provide a case study and model proof of concept. This study produced results data that are unique by virtue of their scale, scope and type. Whereas most existing literature focuses on building-, city-, or national-level analysis, this study covers multi-building neighborhood-scale development. Likewise, while most existing studies focus exclusively on building operational energy use, this study also includes embodied energy related to personal consumption and buildings. Within the boundaries of this analysis, food is the single largest category of the building energy footprint, accounting for 23% of the total. On a policy level, the LCA approach can be useful for quantifying the energy and environmental benefits of longer average building lifespans. In

  17. Exploration of government policy structure which support and block energy transition process in indonesia using system dynamics model

    NASA Astrophysics Data System (ADS)

    Destyanto, A. R.; Silalahi, T. D.; Hidayatno, A.

    2017-11-01

    System dynamic modeling is widely used to predict and simulate the energy system in several countries. One of the applications of system dynamics is to evaluate national energy policy alternatives, and energy efficiency analysis. Using system dynamic modeling, this research aims to evaluate the energy transition policy that has been implemented in Indonesia on the past conversion program of kerosene to LPG for household cook fuel consumption, which considered as successful energy transition program implemented since 2007. This research is important since Indonesia considered not yet succeeded to execute another energy transition program on conversion program of oil fuel to gas fuel for transportation that has started since 1989. The aim of this research is to explore which policy intervention that has significant contribution to support or even block the conversion program. Findings in this simulation show that policy intervention to withdraw the kerosene supply and government push to increase production capacity of the support equipment industries (gas stove, regulator, and LPG Cylinder) is the main influence on the success of the program conversion program.

  18. Energy - Sandia National Laboratories

    Science.gov Websites

    ; Components Compatibility Hydrogen Behavior Quantitative Risk Assessment Technical Reference for Hydrogen Combustion jbei Facilities Algae Testbed Battery Abuse Testing Laboratory Center for Infrastructure Research and Innovation Combustion Research Facility Joint BioEnergy Institute Close Energy Research Programs

  19. Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture

    USGS Publications Warehouse

    Brown, Jesslyn; Pervez, Md Shahriar

    2014-01-01

    Over 22 million hectares (ha) of U.S. croplands are irrigated. Irrigation is an intensified agricultural land use that increases crop yields and the practice affects water and energy cycles at, above, and below the land surface. Until recently, there has been a scarcity of geospatially detailed information about irrigation that is comprehensive, consistent, and timely to support studies tying agricultural land use change to aquifer water use and other factors. This study shows evidence for a recent overall net expansion of 522 thousand ha across the U.S. (2.33%) and 519 thousand ha (8.7%) in irrigated cropped area across the High Plains Aquifer (HPA) from 2002 to 2007. In fact, over 97% of the net national expansion in irrigated agriculture overlays the HPA. We employed a modeling approach implemented at two time intervals (2002 and 2007) for mapping irrigated agriculture across the conterminous U.S. (CONUS). We utilized U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map in the model. The model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the U.S. (MIrAD-US), was then used to reveal relatively detailed spatial patterns of irrigation change across the nation and the HPA. Causes for the irrigation increase in the HPA are complex, but factors include crop commodity price increases, the corn ethanol industry, and government policies related to water use. Impacts of more irrigation may include shifts in local and regional climate, further groundwater depletion, and increasing crop yields and farm income.

  20. Modeling energy/economy interactions for conservation and renewable energy-policy analysis

    NASA Astrophysics Data System (ADS)

    Groncki, P. J.

    Energy policy and the implications for policy analysis and the methodological tools are discussed. The evolution of one methodological approach and the combined modeling system of the component models, their evolution in response to changing analytic needs, and the development of the integrated framework are reported. The analyses performed over the past several years are summarized. The current philosophy behind energy policy is discussed and compared to recent history. Implications for current policy analysis and methodological approaches are drawn.

  1. Mechanical energy flow models of rods and beams

    NASA Technical Reports Server (NTRS)

    Wohlever, J. C.; Bernhard, R. J.

    1992-01-01

    It has been proposed that the flow of mechanical energy through a structural/acoustic system may be modeled in a manner similar to that of flow of thermal energy/in a heat conduction problem. If this hypothesis is true, it would result in relatively efficient numerical models of structure-borne energy in large built-up structures. Fewer parameters are required to approximate the energy solution than are required to model the characteristic wave behavior of structural vibration by using traditional displacement formulations. The energy flow hypothesis is tested in this investigation for both longitudinal vibration in rods and transverse flexural vibrations of beams. The rod is shown to behave approximately according to the thermal energy flow analogy. However, the beam solutions behave significantly differently than predicted by the thermal analogy unless locally-space-averaged energy and power are considered. Several techniques for coupling dissimilar rods and beams are also discussed. Illustrations of the solution accuracy of the methods are included.

  2. Revisiting the global surface energy budgets with maximum-entropy-production model of surface heat fluxes

    NASA Astrophysics Data System (ADS)

    Huang, Shih-Yu; Deng, Yi; Wang, Jingfeng

    2017-09-01

    The maximum-entropy-production (MEP) model of surface heat fluxes, based on contemporary non-equilibrium thermodynamics, information theory, and atmospheric turbulence theory, is used to re-estimate the global surface heat fluxes. The MEP model predicted surface fluxes automatically balance the surface energy budgets at all time and space scales without the explicit use of near-surface temperature and moisture gradient, wind speed and surface roughness data. The new MEP-based global annual mean fluxes over the land surface, using input data of surface radiation, temperature data from National Aeronautics and Space Administration-Clouds and the Earth's Radiant Energy System (NASA CERES) supplemented by surface specific humidity data from the Modern-Era Retrospective Analysis for Research and Applications (MERRA), agree closely with previous estimates. The new estimate of ocean evaporation, not using the MERRA reanalysis data as model inputs, is lower than previous estimates, while the new estimate of ocean sensible heat flux is higher than previously reported. The MEP model also produces the first global map of ocean surface heat flux that is not available from existing global reanalysis products.

  3. From Zero Energy Buildings to Zero Energy Districts

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

    Polly, Ben; Kutscher, Chuck; Macumber, Dan

    Some U.S. cities are planning advanced districts that have goals for zero energy, water, waste, and/or greenhouse gas emissions. From an energy perspective, zero energy districts present unique opportunities to cost-effectively achieve high levels of energy efficiency and renewable energy penetration across a collection of buildings that may be infeasible at the individual building scale. These high levels of performance are accomplished through district energy systems that harness renewable and wasted energy at large scales and flexible building loads that coordinate with variable renewable energy supply. Unfortunately, stakeholders face a lack of documented processes, tools, and best practices to assistmore » them in achieving zero energy districts. The National Renewable Energy Laboratory (NREL) is partnering on two new district projects in Denver: the National Western Center and the Sun Valley Neighborhood. We are working closely with project stakeholders in their zero energy master planning efforts to develop the resources needed to resolve barriers and create replicable processes to support future zero energy district efforts across the United States. Initial results of these efforts include the identification and description of key zero energy district design principles (maximizing building efficiency, solar potential, renewable thermal energy, and load control), economic drivers, and master planning principles. The work has also resulted in NREL making initial enhancements to the U.S. Department of Energy's open source building energy modeling platform (OpenStudio and EnergyPlus) with the long-term goal of supporting the design and optimization of energy districts.« less

  4. Availability of solar energy reports from the National Solar Data Program

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

    Not Available

    1981-07-01

    This booklet discusses the various types of reports published by the National Solar Data Program, lists the reports issued prior to July 15, 1981, and provides order blanks for obtaining copies of reports. The reports identified in the following pages are segmented into nine types: monthly performance reports; solar energy performance evaluation reports; solar performance bulletins;environmental data reports;solar project description reports;solar project cost reports;program information reports;comparative reports; and reliability and material assessment reports. For convenience, available site-specific reports are listed alphabetically by site name, solar system type, and by state. These reports are disseminated through the US Department of Energy,more » Technical Information Center, P.O. Box 62, Oak Ridge, Tennessee 37830.« less

  5. Analyzing industrial energy use through ordinary least squares regression models

    NASA Astrophysics Data System (ADS)

    Golden, Allyson Katherine

    Extensive research has been performed using regression analysis and calibrated simulations to create baseline energy consumption models for residential buildings and commercial institutions. However, few attempts have been made to discuss the applicability of these methodologies to establish baseline energy consumption models for industrial manufacturing facilities. In the few studies of industrial facilities, the presented linear change-point and degree-day regression analyses illustrate ideal cases. It follows that there is a need in the established literature to discuss the methodologies and to determine their applicability for establishing baseline energy consumption models of industrial manufacturing facilities. The thesis determines the effectiveness of simple inverse linear statistical regression models when establishing baseline energy consumption models for industrial manufacturing facilities. Ordinary least squares change-point and degree-day regression methods are used to create baseline energy consumption models for nine different case studies of industrial manufacturing facilities located in the southeastern United States. The influence of ambient dry-bulb temperature and production on total facility energy consumption is observed. The energy consumption behavior of industrial manufacturing facilities is only sometimes sufficiently explained by temperature, production, or a combination of the two variables. This thesis also provides methods for generating baseline energy models that are straightforward and accessible to anyone in the industrial manufacturing community. The methods outlined in this thesis may be easily replicated by anyone that possesses basic spreadsheet software and general knowledge of the relationship between energy consumption and weather, production, or other influential variables. With the help of simple inverse linear regression models, industrial manufacturing facilities may better understand their energy consumption and

  6. Distributed activation energy model parameters of some Turkish coals

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

    Gunes, M.; Gunes, S.K.

    2008-07-01

    A multi-reaction model based on distributed activation energy has been applied to some Turkish coals. The kinetic parameters of distributed activation energy model were calculated via computer program developed for this purpose. It was observed that the values of mean of activation energy distribution vary between 218 and 248 kJ/mol, and the values of standard deviation of activation energy distribution vary between 32 and 70 kJ/mol. The correlations between kinetic parameters of the distributed activation energy model and certain properties of coal have been investigated.

  7. Developing an Energy Performance Modeling Startup Kit

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

    Wood, A.

    2012-10-01

    In 2011, the NAHB Research Center began the first part of the multi-year effort by assessing the needs and motivations of residential remodelers regarding energy performance remodeling. The scope is multifaceted - all perspectives will be sought related to remodeling firms ranging in size from small-scale, sole proprietor to national. This will allow the Research Center to gain a deeper understanding of the remodeling and energy retrofit business and the needs of contractors when offering energy upgrade services. To determine the gaps and the motivation for energy performance remodeling, the NAHB Research Center conducted (1) an initial series of focusmore » groups with remodelers at the 2011 International Builders' Show, (2) a second series of focus groups with remodelers at the NAHB Research Center in conjunction with the NAHB Spring Board meeting in DC, and (3) quantitative market research with remodelers based on the findings from the focus groups. The goal was threefold, to: Understand the current remodeling industry and the role of energy efficiency; Identify the gaps and barriers to adding energy efficiency into remodeling; and Quantify and prioritize the support needs of professional remodelers to increase sales and projects involving improving home energy efficiency. This report outlines all three of these tasks with remodelers.« less

  8. The NETL MFiX Suite of multiphase flow models: A brief review and recent applications of MFiX-TFM to fossil energy technologies

    DOE PAGES

    Li, Tingwen; Rogers, William A.; Syamlal, Madhava; ...

    2016-07-29

    Here, the MFiX suite of multiphase computational fluid dynamics (CFD) codes is being developed at U.S. Department of Energy's National Energy Technology Laboratory (NETL). It includes several different approaches to multiphase simulation: MFiX-TFM, a two-fluid (Eulerian–Eulerian) model; MFiX-DEM, an Eulerian fluid model with a Lagrangian Discrete Element Model for the solids phase; and MFiX-PIC, Eulerian fluid model with Lagrangian particle ‘parcels’ representing particle groups. These models are undergoing continuous development and application, with verification, validation, and uncertainty quantification (VV&UQ) as integrated activities. After a brief summary of recent progress in the verification, validation and uncertainty quantification (VV&UQ), this article highlightsmore » two recent accomplishments in the application of MFiX-TFM to fossil energy technology development. First, recent application of MFiX to the pilot-scale KBR TRIG™ Transport Gasifier located at DOE's National Carbon Capture Center (NCCC) is described. Gasifier performance over a range of operating conditions was modeled and compared to NCCC operational data to validate the ability of the model to predict parametric behavior. Second, comparison of code predictions at a detailed fundamental scale is presented studying solid sorbents for the post-combustion capture of CO 2 from flue gas. Specifically designed NETL experiments are being used to validate hydrodynamics and chemical kinetics for the sorbent-based carbon capture process.« less

  9. Scenario Analysis With Economic-Energy Systems Models Coupled to Simple Climate Models

    NASA Astrophysics Data System (ADS)

    Hanson, D. A.; Kotamarthi, V. R.; Foster, I. T.; Franklin, M.; Zhu, E.; Patel, D. M.

    2008-12-01

    Here, we compare two scenarios based on Stanford University's Energy Modeling Forum Study 22 on global cooperative and non-cooperative climate policies. In the former, efficient transition paths are implemented including technology Research and Development effort, energy conservation programs, and price signals for greenhouse gas (GHG) emissions. In the non-cooperative case, some countries try to relax their regulations and be free riders. Total emissions and costs are higher in the non-cooperative scenario. The simulations, including climate impacts, run to the year 2100. We use the Argonne AMIGA-MARS economic-energy systems model, the Texas AM University's Forest and Agricultural Sector Optimization Model (FASOM), and the University of Illinois's Integrated Science Assessment Model (ISAM), with offline coupling between the FASOM and AMIGA-MARS and an online coupling between AMIGA-MARS and ISAM. This set of models captures the interaction of terrestrial systems, land use, crops and forests, climate change, human activity, and energy systems. Our scenario simulations represent dynamic paths over which all the climate, terrestrial, economic, and energy technology equations are solved simultaneously Special attention is paid to biofuels and how they interact with conventional gasoline/diesel fuel markets. Possible low-carbon penetration paths are based on estimated costs for new technologies, including cellulosic biomass, coal-to-liquids, plug-in electric vehicles, solar and nuclear energy. We explicitly explore key uncertainties that affect mitigation and adaptation scenarios.

  10. Nonlinear spherical perturbations in quintessence models of dark energy

    NASA Astrophysics Data System (ADS)

    Pratap Rajvanshi, Manvendra; Bagla, J. S.

    2018-06-01

    Observations have confirmed the accelerated expansion of the universe. The accelerated expansion can be modelled by invoking a cosmological constant or a dynamical model of dark energy. A key difference between these models is that the equation of state parameter w for dark energy differs from ‑1 in dynamical dark energy (DDE) models. Further, the equation of state parameter is not constant for a general DDE model. Such differences can be probed using the variation of scale factor with time by measuring distances. Another significant difference between the cosmological constant and DDE models is that the latter must cluster. Linear perturbation analysis indicates that perturbations in quintessence models of dark energy do not grow to have a significant amplitude at small length scales. In this paper we study the response of quintessence dark energy to non-linear perturbations in dark matter. We use a fully relativistic model for spherically symmetric perturbations. In this study we focus on thawing models. We find that in response to non-linear perturbations in dark matter, dark energy perturbations grow at a faster rate than expected in linear perturbation theory. We find that dark energy perturbation remains localised and does not diffuse out to larger scales. The dominant drivers of the evolution of dark energy perturbations are the local Hubble flow and a supression of gradients of the scalar field. We also find that the equation of state parameter w changes in response to perturbations in dark matter such that it also becomes a function of position. The variation of w in space is correlated with density contrast for matter. Variation of w and perturbations in dark energy are more pronounced in response to large scale perturbations in matter while the dependence on the amplitude of matter perturbations is much weaker.

  11. Predicting Energy Performance of a Net-Zero Energy Building: A Statistical Approach

    PubMed Central

    Kneifel, Joshua; Webb, David

    2016-01-01

    Performance-based building requirements have become more prevalent because it gives freedom in building design while still maintaining or exceeding the energy performance required by prescriptive-based requirements. In order to determine if building designs reach target energy efficiency improvements, it is necessary to estimate the energy performance of a building using predictive models and different weather conditions. Physics-based whole building energy simulation modeling is the most common approach. However, these physics-based models include underlying assumptions and require significant amounts of information in order to specify the input parameter values. An alternative approach to test the performance of a building is to develop a statistically derived predictive regression model using post-occupancy data that can accurately predict energy consumption and production based on a few common weather-based factors, thus requiring less information than simulation models. A regression model based on measured data should be able to predict energy performance of a building for a given day as long as the weather conditions are similar to those during the data collection time frame. This article uses data from the National Institute of Standards and Technology (NIST) Net-Zero Energy Residential Test Facility (NZERTF) to develop and validate a regression model to predict the energy performance of the NZERTF using two weather variables aggregated to the daily level, applies the model to estimate the energy performance of hypothetical NZERTFs located in different cities in the Mixed-Humid climate zone, and compares these estimates to the results from already existing EnergyPlus whole building energy simulations. This regression model exhibits agreement with EnergyPlus predictive trends in energy production and net consumption, but differs greatly in energy consumption. The model can be used as a framework for alternative and more complex models based on the

  12. Predicting Energy Performance of a Net-Zero Energy Building: A Statistical Approach.

    PubMed

    Kneifel, Joshua; Webb, David

    2016-09-01

    Performance-based building requirements have become more prevalent because it gives freedom in building design while still maintaining or exceeding the energy performance required by prescriptive-based requirements. In order to determine if building designs reach target energy efficiency improvements, it is necessary to estimate the energy performance of a building using predictive models and different weather conditions. Physics-based whole building energy simulation modeling is the most common approach. However, these physics-based models include underlying assumptions and require significant amounts of information in order to specify the input parameter values. An alternative approach to test the performance of a building is to develop a statistically derived predictive regression model using post-occupancy data that can accurately predict energy consumption and production based on a few common weather-based factors, thus requiring less information than simulation models. A regression model based on measured data should be able to predict energy performance of a building for a given day as long as the weather conditions are similar to those during the data collection time frame. This article uses data from the National Institute of Standards and Technology (NIST) Net-Zero Energy Residential Test Facility (NZERTF) to develop and validate a regression model to predict the energy performance of the NZERTF using two weather variables aggregated to the daily level, applies the model to estimate the energy performance of hypothetical NZERTFs located in different cities in the Mixed-Humid climate zone, and compares these estimates to the results from already existing EnergyPlus whole building energy simulations. This regression model exhibits agreement with EnergyPlus predictive trends in energy production and net consumption, but differs greatly in energy consumption. The model can be used as a framework for alternative and more complex models based on the

  13. OSeMOSYS Energy Modeling Using an Extended UTOPIA Model

    ERIC Educational Resources Information Center

    Lavigne, Denis

    2017-01-01

    The OSeMOSYS project offers open-access energy modeling to a wide audience. Its relative simplicity makes it appealing for academic research and governmental organizations to study the impacts of policy decisions on an energy system in the context of possibly severe greenhouse gases emissions limitations. OSeMOSYS is a tool that enhances the…

  14. The Model of Gas Supply Capacity Simulation In Regional Energy Security Framework: Policy Studies PT. X Cirebon Area

    NASA Astrophysics Data System (ADS)

    Nuryadin; Ronny Rahman Nitibaskara, Tb; Herdiansyah, Herdis; Sari, Ravita

    2017-10-01

    The needs of energy are increasing every year. The unavailability of energy will cause economic losses and weaken energy security. To overcome the availability of gas supply in the future, planning are cruacially needed. Therefore, it is necessary to approach the system, so that the process of gas distribution is running properly. In this research, system dynamic method will be used to measure how much supply capacity planning is needed until 2050, with parameters of demand in industrial, household and commercial sectors. From the model obtained PT.X Cirebon area in 2031 was not able to meet the needs of gas customers in the Cirebon region, as well as with Businnes as usual scenario, the ratio of gas fulfillment only until 2027. The implementation of the national energy policy that is the use of NRE as government intervention in the model is produced up to 2035 PT.X Cirebon area is still able to supply the gas needs of its customers.

  15. 7 CFR Exhibit E to Subpart A of... - Voluntary National Model Building Codes

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 12 2013-01-01 2013-01-01 false Voluntary National Model Building Codes E Exhibit E... National Model Building Codes The following documents address the health and safety aspects of buildings and related structures and are voluntary national model building codes as defined in § 1924.4(h)(2) of...

  16. 7 CFR Exhibit E to Subpart A of... - Voluntary National Model Building Codes

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 12 2012-01-01 2012-01-01 false Voluntary National Model Building Codes E Exhibit E... National Model Building Codes The following documents address the health and safety aspects of buildings and related structures and are voluntary national model building codes as defined in § 1924.4(h)(2) of...

  17. Critical system issues and modeling requirements: The problem of beam energy sweep in an electron linear induction accelerator

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

    Turner, W.C.; Barrett, D.M.; Sampayan, S.E.

    1990-08-06

    In this paper we discuss system issues and modeling requirements within the context of energy sweep in an electron linear induction accelerator. When needed, particular parameter values are taken from the ETA-II linear induction accelerator at Lawrence Livermore National Laboratory. For this paper, the most important parameter is energy sweep during a pulse. It is important to have low energy sweep to satisfy the FEL resonance condition and to limit the beam corkscrew motion. It is desired to achieve {Delta}E/E = {plus minus}1% for a 50-ns flattop whereas the present level of performance is {Delta}E/E = {plus minus}1% in 10more » ns. To improve this situation we will identify a number of areas in which modeling could help increase understanding and improve our ability to design linear induction accelerators.« less

  18. Infiltration modeling guidelines for commercial building energy analysis

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

    Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.

    This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistentmore » with building location and weather data.« less

  19. Model selection and constraints from holographic dark energy scenarios

    NASA Astrophysics Data System (ADS)

    Akhlaghi, I. A.; Malekjani, M.; Basilakos, S.; Haghi, H.

    2018-07-01

    In this study, we combine the expansion and the growth data in order to investigate the ability of the three most popular holographic dark energy models, namely event future horizon, Ricci scale, and Granda-Oliveros IR cutoffs, to fit the data. Using a standard χ2 minimization method, we place tight constraints on the free parameters of the models. Based on the values of the Akaike and Bayesian information criteria, we find that two out of three holographic dark energy models are disfavoured by the data, because they predict a non-negligible amount of fractional dark energy density at early enough times. Although the growth rate data are relatively consistent with the holographic dark energy models which are based on Ricci scale and Granda-Oliveros IR cutoffs, the combined analysis provides strong indications against these models. Finally, we find that the model for which the holographic dark energy is related with the future horizon is consistent with the combined observational data.

  20. Food and energy choices for India: a programming model with partial endogenous energy requirements.

    PubMed

    Parikh, K S; Srinivasan, T N

    1980-09-01

    This paper presents a mathematical model for all matter-energy processing subsystems at the level of the society, specifically India. It explores India's choices in the food and energy sectors over the coming decades. Alternative land intensive, irrigation energy intensive, and fertilizer intensive techniques of food production are identified using a nonlinear programming model. The land saved is devoted to growing firewood. The optimum combination of railway (steam, diesel, and electric traction) and road (automobiles, diesel trucks, and diesel and gasoline buses) transport is determined. For the oil sector, two alternative sources of supply of crude oil and petroleum products are included, namely, domestic production and imports. The optimum choice is determined through a linear programming model. While the model is basically a static one, designed to determine the optimal choice for the target year of 2000-2001, certain intertemporal detail is incorporated for electricity generation. The model minimizes the costs of meeting the needs for food, transport in terms of passenger kilometers and goods per ton per kilometer, energy needs for domestic cooking and lighting, and the energy needs of the rest of the economy.

  1. Multi-scale Modeling of Energy Balance Fluxes in a Dense Tamarisk Riparian Forest

    NASA Astrophysics Data System (ADS)

    Neale, C. M.; Santos, C. A.; Watts, D.; Osterberg, J.; Hipps, L. E.; Sritharan, S. I.

    2008-12-01

    Remote sensing of energy balance fluxes has become operationally more viable over the last 10 years with the development of more robust multi-layer models and the availability of quasi-real time satellite imagery from most sensors. Riparian corridors in semi-arid and arid areas present a challenge to satellite based techniques for estimating evapotranspiration due to issues of scale and pixel resolution, especially when using the thermal infrared bands. This paper will present energy balance measurement and modeling results over a Salt Cedar (Tamarix Ramosissima) forest in the Cibola National Wildlife Refuge along the Colorado River south of Blythe, CA. The research site encompasses a 600 hectare area populated by mostly Tamarisk stands of varying density. Three Bowen ratio systems are installed on tall towers within varying densities of forest cover in the upwind footprint and growing under varying depths to the water table. An additional eddy covariance tower is installed alongside a Bowen ratio system on one of the towers. Flux data has been gathered continuously since early 2007. In the summer of 2007, a Scintec large aperture scintillometer was installed between two of the towers over 1 km apart and has been working continuously along with the flux towers. Two intensive field campaigns were organized in June 2007 and May 2008 to coincide with LANDSAT TM5, MODIS and ASTER overpasses. High resolution multispectral and thermal imagery was acquired at the same time with the USU airborne system to provide information for the up- scaling of the energy balance fluxes from tower to satellite scales. The paper will present comparisons between the different energy balance measuring techniques under the highly advective conditions of the experimental site, concentrating on the scintillometer data. Preliminary results of remotely sensed modeling of the fluxes at different scales and model complexity will also be presented.

  2. Semi-span model testing in the National Transonic Facility

    NASA Technical Reports Server (NTRS)

    Chokani, Ndaona; Milholen, William E., II

    1993-01-01

    A semi-span testing technique has been proposed for the NASA Langley Research Center's National Transonic Facility (NTF). Semi-span testing has several advantages including (1) larger model size, giving increased Reynolds number capability; (2) improved model fidelity, allowing ease of flap and slat positioning which ultimately improves data quality; and (3) reduced construction costs compared with a full-span model. In addition, the increased model size inherently allows for increased model strength, reducing aeroelastic effects at the high dynamic pressure levels necessary to simulate flight Reynolds numbers. The Energy Efficient Transport (EET) full-span model has been modified to become the EET semi-span model. The full-span EET model was tested extensively at both NASA LRC and NASA Ames Research Center. The available full-span data will be useful in validating the semi-span test strategy in the NTF. In spite of the advantages discussed above, the use of a semi-span model does introduce additional challenges which must be addressed in the testing procedure. To minimize the influence of the sidewall boundary layer on the flow over the semi-span model, the model must be off-set from the sidewall. The objective is to remove the semi-span model from the sidewall boundary layer by use of a stand-off geometry. When this is done however, the symmetry along the centerline of the full-span model is lost when the semi-span model is mounted on the wind tunnel sidewall. In addition, the large semi-span model will impose a significant pressure loading on the sidewall boundary layer, which may cause separation. Even under flow conditions where the sidewall boundary layer remains attached, the sidewall boundary layer may adversely effect the flow over the semi-span model. Also, the increased model size and sidewall mounting requires a modified wall correction strategy. With these issues in mind, the semi-span model has been well instrumented with surface pressure taps to

  3. Roles of dark energy perturbations in dynamical dark energy models: can we ignore them?

    PubMed

    Park, Chan-Gyung; Hwang, Jai-chan; Lee, Jae-heon; Noh, Hyerim

    2009-10-09

    We show the importance of properly including the perturbations of the dark energy component in the dynamical dark energy models based on a scalar field and modified gravity theories in order to meet with present and future observational precisions. Based on a simple scaling scalar field dark energy model, we show that observationally distinguishable substantial differences appear by ignoring the dark energy perturbation. By ignoring it the perturbed system of equations becomes inconsistent and deviations in (gauge-invariant) power spectra depend on the gauge choice.

  4. Activities of the National Institutes of Health relating to energy efficiency and pollution prevention.

    PubMed Central

    Ficca, S A; Chyun, Y D; Ebrahimi, M; Kutlak, F; Memarzadeh, F

    2000-01-01

    The National Institutes of Health (NIH) is one of the world's premier biomedical research centers. Although NIH owns and operates more than 1,300 acres and 197 buildings across the country, the main campus is in Bethesda, Maryland. This campus consists of over 312 acres and 75 laboratories and other buildings, which consume vast amounts of energy. Aware of the NIH role in setting biomedical research agendas and priorities, its administrators strive to set good examples in energy efficiency and pollution prevention. Three current projects are presented as "best practices" examples of meeting the stated commitment of NIH to leadership in environmental stewardship: a) design and current construction of a 250-bed clinical research hospital designed to allow conversion of patient care units to research laboratories and vice-versa; b) design and construction of a six-story research laboratory that combines energy-saving innovations with breakthroughs in research technologies; and c) a massive, $200-million modernization of the campus utility infrastructure that involves generation systems for steam and chilled water and distribution systems for chilled water, steam, potable water, electricity, communications and computer networking, compressed air, and natural gas. Based on introduction of energy-efficiency measures, millions of dollars in savings for energy needs are projected; already the local electric utility has granted several million dollars in rebates. The guiding principles of NIH environmental stewardship help to ensure that energy conservation measures maximize benefits versus cost and also balance expediency with efficiency within available funding resources. This is a committee report for the Leadership Conference: Biomedical Research and the Environment held 1--2 November 1999 at the National Institutes of Health, Bethesda, Maryland. PMID:11121359

  5. 78 FR 23312 - Uranium Enrichment Fuel Cycle Inspection Reports Regarding Louisiana Energy Services, National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-18

    ... NUCLEAR REGULATORY COMMISSION [Docket No. 70-3103; NRC-2010-0264] Uranium Enrichment Fuel Cycle Inspection Reports Regarding Louisiana Energy Services, National Enrichment Facility, Eunice, New Mexico..., Division of Fuel Cycle Safety, and Safeguards Office of Nuclear Material Safety, and Safeguards. [FR Doc...

  6. A Unified Model of Phantom Energy and Dark Matter

    NASA Astrophysics Data System (ADS)

    Chaves, Max; Singleton, Douglas

    2008-01-01

    To explain the acceleration of the cosmological expansion researchers have considered an unusual form of mass-energy generically called dark energy. Dark energy has a ratio of pressure over mass density which obeys w = p/ρ < -1/3. This form of mass-energy leads to accelerated expansion. An extreme form of dark energy, called phantom energy, has been proposed which has w = p/ρ < -1. This possibility is favored by the observational data. The simplest model for phantom energy involves the introduction of a scalar field with a negative kinetic energy term. Here we show that theories based on graded Lie algebras naturally have such a negative kinetic energy and thus give a model for phantom energy in a less ad hoc manner. We find that the model also contains ordinary scalar fields and anti-commuting (Grassmann) vector fields which act as a form of two component dark matter. Thus from a gauge theory based o! n a graded algebra we naturally obtained both phantom energy and dark matter.

  7. Nuclear Hybrid Energy System Model Stability Testing

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

    Greenwood, Michael Scott; Cetiner, Sacit M.; Fugate, David W.

    2017-04-01

    A Nuclear Hybrid Energy System (NHES) uses a nuclear reactor as the basic power generation unit, and the power generated is used by multiple customers as combinations of thermal power or electrical power. The definition and architecture of a particular NHES can be adapted based on the needs and opportunities of different localities and markets. For example, locations in need of potable water may be best served by coupling a desalination plant to the NHES. Similarly, a location near oil refineries may have a need for emission-free hydrogen production. Using the flexible, multi-domain capabilities of Modelica, Argonne National Laboratory, Idahomore » National Laboratory, and Oak Ridge National Laboratory are investigating the dynamics (e.g., thermal hydraulics and electrical generation/consumption) and cost of a hybrid system. This paper examines the NHES work underway, emphasizing the control system developed for individual subsystems and the overall supervisory control system.« less

  8. Agent-based modelling of consumer energy choices

    NASA Astrophysics Data System (ADS)

    Rai, Varun; Henry, Adam Douglas

    2016-06-01

    Strategies to mitigate global climate change should be grounded in a rigorous understanding of energy systems, particularly the factors that drive energy demand. Agent-based modelling (ABM) is a powerful tool for representing the complexities of energy demand, such as social interactions and spatial constraints. Unlike other approaches for modelling energy demand, ABM is not limited to studying perfectly rational agents or to abstracting micro details into system-level equations. Instead, ABM provides the ability to represent behaviours of energy consumers -- such as individual households -- using a range of theories, and to examine how the interaction of heterogeneous agents at the micro-level produces macro outcomes of importance to the global climate, such as the adoption of low-carbon behaviours and technologies over space and time. We provide an overview of ABM work in the area of consumer energy choices, with a focus on identifying specific ways in which ABM can improve understanding of both fundamental scientific and applied aspects of the demand side of energy to aid the design of better policies and programmes. Future research needs for improving the practice of ABM to better understand energy demand are also discussed.

  9. Modelling the energy balance of an anaerobic digester fed with cattle manure and renewable energy crops.

    PubMed

    Lübken, Manfred; Wichern, Marc; Schlattmann, Markus; Gronauer, Andreas; Horn, Harald

    2007-10-01

    Knowledge of the net energy production of anaerobic fermenters is important for reliable modelling of the efficiency of anaerobic digestion processes. By using the Anaerobic Digestion Model No. 1 (ADM1) the simulation of biogas production and composition is possible. This paper shows the application and modification of ADM1 to simulate energy production of the digestion of cattle manure and renewable energy crops. The paper additionally presents an energy balance model, which enables the dynamic calculation of the net energy production. The model was applied to a pilot-scale biogas reactor. It was found in a simulation study that a continuous feeding and splitting of the reactor feed into smaller heaps do not generally have a positive effect on the net energy yield. The simulation study showed that the ratio of co-substrate to liquid manure in the inflow determines the net energy production when the inflow load is split into smaller heaps. Mathematical equations are presented to calculate the increase of biogas and methane yield for the digestion of liquid manure and lipids for different feeding intervals. Calculations of different kinds of energy losses for the pilot-scale digester showed high dynamic variations, demonstrating the significance of using a dynamic energy balance model.

  10. Wind Energy Workforce Development & Jobs

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

    Tegen, Suzanne

    The United States needs a skilled and qualified wind energy workforce to produce domestic clean power. To assist with wind energy workforce development, the U.S. Department of Energy (DOE) and National Renewable Energy Laboratory are engaged with several efforts.This presentation by Suzanne Tegen describes these efforts, including a wind industry survey, DOE's Wind Career Map, the DOE Wind Vision report, and an in-depth discussion of the Jobs & Economic Development Impacts Model.

  11. Assessment of Energy Efficient and Model Based Control

    DTIC Science & Technology

    2017-06-15

    ARL-TR-8042 ● JUNE 2017 US Army Research Laboratory Assessment of Energy -Efficient and Model- Based Control by Craig Lennon...originator. ARL-TR-8042 ● JUNE 2017 US Army Research Laboratory Assessment of Energy -Efficient and Model- Based Control by Craig...

  12. Dark energy models through nonextensive Tsallis' statistics

    NASA Astrophysics Data System (ADS)

    Barboza, Edésio M.; Nunes, Rafael da C.; Abreu, Everton M. C.; Ananias Neto, Jorge

    2015-10-01

    The accelerated expansion of the Universe is one of the greatest challenges of modern physics. One candidate to explain this phenomenon is a new field called dark energy. In this work we have used the Tsallis nonextensive statistical formulation of the Friedmann equation to explore the Barboza-Alcaniz and Chevalier-Polarski-Linder parametric dark energy models and the Wang-Meng and Dalal vacuum decay models. After that, we have discussed the observational tests and the constraints concerning the Tsallis nonextensive parameter. Finally, we have described the dark energy physics through the role of the q-parameter.

  13. Integrated Dynamic Gloabal Modeling of Land Use, Energy and Economic Growth

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

    Atul Jain, University of Illinois, Urbana-Champaign, IL

    2009-10-14

    The overall objective of this collaborative project is to integrate an existing general equilibrium energy-economic growth model with a biogeochemical cycles and biophysical models in order to more fully explore the potential contribution of land use-related activities to future emissions scenarios. Land cover and land use change activities, including deforestation, afforestation, and agriculture management, are important source of not only CO2, but also non-CO2 GHGs. Therefore, contribution of land-use emissions to total emissions of GHGs is important, and consequently their future trends are relevant to the estimation of climate change and its mitigation. This final report covers the full projectmore » period of the award, beginning May 2006, which includes a sub-contract to Brown University later transferred to the National Center for Atmospheric Research (NCAR) when Co-PI Brian O'Neill changed institutional affiliations.« less

  14. Stochastic Energy Deployment System

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

    2011-11-30

    SEDS is an economy-wide energy model of the U.S. The model captures dynamics between supply, demand, and pricing of the major energy types consumed and produced within the U.S. These dynamics are captured by including: the effects of macroeconomics; the resources and costs of primary energy types such as oil, natural gas, coal, and biomass; the conversion of primary fuels into energy products like petroleum products, electricity, biofuels, and hydrogen; and lastly the end- use consumption attributable to residential and commercial buildings, light and heavy transportation, and industry. Projections from SEDS extend to the year 2050 by one-year time stepsmore » and are generally projected at the national level. SEDS differs from other economy-wide energy models in that it explicitly accounts for uncertainty in technology, markets, and policy. SEDS has been specifically developed to avoid the computational burden, and sometimes fruitless labor, that comes from modeling significantly low-level details. Instead, SEDS focuses on the major drivers within the energy economy and evaluates the impact of uncertainty around those drivers.« less

  15. Dynamic Modeling of Learning in Emerging Energy Industries: The Example of Advanced Biofuels in the United States

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

    Vimmerstedt, Laura; Peterson, Steve; Bush, Brian

    This paper (and its supplemental model) presents novel approaches to modeling interactions and related policies among investment, production, and learning in an emerging competitive industry. New biomass-to-biofuels pathways are being developed and commercialized to support goals for U.S. advanced biofuel use, such as those in the Energy Independence and Security Act of 2007. We explore the impact of learning rates and techno-economics in a learning model excerpted from the Biomass Scenario Model (BSM), developed by the U.S. Department of Energy and the National Renewable Energy Laboratory to explore the impact of biofuel policy on the evolution of the biofuels industry.more » The BSM integrates investment, production, and learning among competing biofuel conversion options that are at different stages of industrial development. We explain the novel methods used to simulate the impact of differing assumptions about mature industry techno-economics and about learning rates while accounting for the different maturity levels of various conversion pathways. A sensitivity study shows that the parameters studied (fixed capital investment, process yield, progress ratios, and pre-commercial investment) exhibit highly interactive effects, and the system, as modeled, tends toward market dominance of a single pathway due to competition and learning dynamics.« less

  16. The Energy-Environment Simulator as a Classroom Aid.

    ERIC Educational Resources Information Center

    Sell, Nancy J.; Van Koevering, Thomas E.

    1981-01-01

    Energy-Environment Simulators, provided by the U.S. Department of Energy, can be used to help individuals experience the effects of unbridled energy consumption for the next century on a national or worldwide scale. The simulator described is a specially designed analog computer which models the real-world energy situation. (MP)

  17. Coupling the NASA-CASA ecosystem model with a hydrologic routing algorithm for improved water management in Yosemite National Park

    NASA Astrophysics Data System (ADS)

    Teaby, A.; Johnson, E. R.; Griffin, M.; Carrillo, C.; Kannan, T.; Shupe, J. W.; Schmidt, C.

    2013-12-01

    Historic trends reveal extreme precipitation variability within the Yosemite National Park (YNP) geographic region. While California obtains greater than half of its annual water supply from the Sierra Nevada, snowpack, precipitation, and runoff can fluctuate between less than 50% and greater than 200% of climatological averages. Advances in hydrological modeling are crucial to improving water-use efficiency at the local, state, and national levels. The NASA Carnegie Ames Stanford Approach (CASA) is a global simulation model that combines multi-year satellite, climate, and other land surface databases to estimate biosphere-atmosphere exchange of energy, water, and trace gases from plants and soils. By coupling CASA with a Hydrological Routing Algorithm known as HYDRA, it is possible to calculate current water availability and observe hydrological trends within YNP. Satellite-derived inputs such as surface evapotranspiration, temperature, precipitation, land cover, and elevation were included to create a valuable decision support tool for YNP's water resource managers. These results will be of enhanced importance given current efforts to restore 81 miles of the Merced River within the park's boundary. Validations of model results were conducted using in situ stream gage measurements. The model accurately simulated observed streamflow values, achieving a relatively strong Nash-Sutcliffe model efficiency coefficient. This geospatial assessment provides a standardized method which may be repeated in both national and international water-stressed regions.

  18. Colloquy and workshops: regional implications of the engineering manpower requirements of the National Energy Program

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

    Segool, H. D.

    1979-05-01

    The crucial interrelationships of engineering manpower, technological innovation, productivity and capital re-formaton were keynoted. Near-term, a study has indicated a much larger New England energy demand-reduction/economic/market potential, with a probably larger engineering manpower requirement, for energy-conservation measures characterized by technological innovation and cost-effective capital services than for alternative energy-supply measures. Federal, regional, and state energy program responsibilities described a wide-ranging panorama of activities among many possible energy options which conveyed much endeavor without identifiable engineering manpower demand coefficients. Similarly, engineering manpower assessment data was described as uneven and unfocused to the energy program at the national level, disaggregated data asmore » non-existent at the regional/state levels, although some qualitative inferences were drawn. A separate abstract was prepared for each of the 16 individual presentations for the DOE Energy Data Base (EDB); 14 of these were selected for Energy Abstracts for Policy Analysis (EAPA) and 2 for Energy Research Abstracts (ERA).« less

  19. Scale Issues in Modeling the Water Resources Sector in National Economic Models: A Case study of China

    NASA Astrophysics Data System (ADS)

    Strzepek, K. M.; Kirshen, P.; Yohe, G.

    2001-05-01

    The fundamental theme of this research was to investigate tradeoffs in model resolution for modeling water resources in the context of national economic development and capital investment decisions.. Based on a case study of China, the research team has developed water resource models at relatively fine scales, then investigated how they can be aggregated to regional or national scales and for use in national level planning decisions or global scale integrated assessment models of food and/or environmental change issues. The team has developed regional water supply and water demand functions.. Simplifying and aggregating the supply and demand functions will allow reduced form functions of the water sector for inclusion in large scale national economic models. Water Supply Cost functions were developed looking at both surface and groundwater supplies. Surface Water: Long time series of flows at the mouths of the 36 major river sub-basins in China are used in conjunction with different basin reservoir storage quantities to obtain storage-yield curves. These are then combined with reservoir and transmission cost data to obtain yield-cost or surface water demand curves. The methodology to obtain the long time series of flows for each basin is to fit a simple abcd water balance model to each basin. The costs of reservoir storage have been estimated by using a methodology developed in the USA that relates marginal storage costs to existing storage, slope and geological conditions. USA costs functions have then been adjusted to Chinese costs. The costs of some actual dams in China were used to "ground-truth" the methodology. Groundwater: The purpose of the groundwater work is to estimate the recharge in each basin, and the depths and quality of water of aquifers. A byproduct of the application of the abcd water balance model is the recharge. Depths and quality of aquifers are being taken from many separate reports on groundwater in different parts of China; we have been

  20. Translating building information modeling to building energy modeling using model view definition.

    PubMed

    Jeong, WoonSeong; Kim, Jong Bum; Clayton, Mark J; Haberl, Jeff S; Yan, Wei

    2014-01-01

    This paper presents a new approach to translate between Building Information Modeling (BIM) and Building Energy Modeling (BEM) that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM) has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD) consisting of a process model and a class diagram. The process model demonstrates object-mapping between BIM and Modelica-based BEM (ModelicaBEM) and facilitates the definition of required information during model translations. The class diagram represents the information and object relationships to produce a class package intermediate between the BIM and BEM. The implementation of the intermediate class package enables system interface (Revit2Modelica) development for automatic BIM data translation into ModelicaBEM. In order to demonstrate and validate our approach, simulation result comparisons have been conducted via three test cases using (1) the BIM-based Modelica models generated from Revit2Modelica and (2) BEM models manually created using LBNL Modelica Buildings library. Our implementation shows that BIM2BEM (1) enables BIM models to be translated into ModelicaBEM models, (2) enables system interface development based on the MVD for thermal simulation, and (3) facilitates the reuse of original BIM data into building energy simulation without an import/export process.

  1. Translating Building Information Modeling to Building Energy Modeling Using Model View Definition

    PubMed Central

    Kim, Jong Bum; Clayton, Mark J.; Haberl, Jeff S.

    2014-01-01

    This paper presents a new approach to translate between Building Information Modeling (BIM) and Building Energy Modeling (BEM) that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM) has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD) consisting of a process model and a class diagram. The process model demonstrates object-mapping between BIM and Modelica-based BEM (ModelicaBEM) and facilitates the definition of required information during model translations. The class diagram represents the information and object relationships to produce a class package intermediate between the BIM and BEM. The implementation of the intermediate class package enables system interface (Revit2Modelica) development for automatic BIM data translation into ModelicaBEM. In order to demonstrate and validate our approach, simulation result comparisons have been conducted via three test cases using (1) the BIM-based Modelica models generated from Revit2Modelica and (2) BEM models manually created using LBNL Modelica Buildings library. Our implementation shows that BIM2BEM (1) enables BIM models to be translated into ModelicaBEM models, (2) enables system interface development based on the MVD for thermal simulation, and (3) facilitates the reuse of original BIM data into building energy simulation without an import/export process. PMID:25309954

  2. Basin-scale assessment of the land surface energy budget in the National Centers for Environmental Prediction operational and research NLDAS-2 systems

    NASA Astrophysics Data System (ADS)

    Xia, Youlong; Cosgrove, Brian A.; Mitchell, Kenneth E.; Peters-Lidard, Christa D.; Ek, Michael B.; Kumar, Sujay; Mocko, David; Wei, Helin

    2016-01-01

    This paper compares the annual and monthly components of the simulated energy budget from the North American Land Data Assimilation System phase 2 (NLDAS-2) with reference products over the domains of the 12 River Forecast Centers (RFCs) of the continental United States (CONUS). The simulations are calculated from both operational and research versions of NLDAS-2. The reference radiation components are obtained from the National Aeronautics and Space Administration Surface Radiation Budget product. The reference sensible and latent heat fluxes are obtained from a multitree ensemble method applied to gridded FLUXNET data from the Max Planck Institute, Germany. As these references are obtained from different data sources, they cannot fully close the energy budget, although the range of closure error is less than 15% for mean annual results. The analysis here demonstrates the usefulness of basin-scale surface energy budget analysis for evaluating model skill and deficiencies. The operational (i.e., Noah, Mosaic, and VIC) and research (i.e., Noah-I and VIC4.0.5) NLDAS-2 land surface models exhibit similarities and differences in depicting basin-averaged energy components. For example, the energy components of the five models have similar seasonal cycles, but with different magnitudes. Generally, Noah and VIC overestimate (underestimate) sensible (latent) heat flux over several RFCs of the eastern CONUS. In contrast, Mosaic underestimates (overestimates) sensible (latent) heat flux over almost all 12 RFCs. The research Noah-I and VIC4.0.5 versions show moderate-to-large improvements (basin and model dependent) relative to their operational versions, which indicates likely pathways for future improvements in the operational NLDAS-2 system.

  3. Basin-Scale Assessment of the Land Surface Energy Budget in the National Centers for Environmental Prediction Operational and Research NLDAS-2 Systems

    NASA Technical Reports Server (NTRS)

    Xia, Youlong; Peters-Lidard, Christa D.; Cosgrove, Brian A.; Mitchell, Kenneth E.; Peters-Lidard, Christa; Ek, Michael B.; Kumar, Sujay V.; Mocko, David M.; Wei, Helin

    2015-01-01

    This paper compares the annual and monthly components of the simulated energy budget from the North American Land Data Assimilation System phase 2 (NLDAS-2) with reference products over the domains of the 12 River Forecast Centers (RFCs) of the continental United States (CONUS). The simulations are calculated from both operational and research versions of NLDAS-2. The reference radiation components are obtained from the National Aeronautics and Space Administration Surface Radiation Budget product. The reference sensible and latent heat fluxes are obtained from a multitree ensemble method applied to gridded FLUXNET data from the Max Planck Institute, Germany. As these references are obtained from different data sources, they cannot fully close the energy budget, although the range of closure error is less than 15%formean annual results. The analysis here demonstrates the usefulness of basin-scale surface energy budget analysis for evaluating model skill and deficiencies. The operational (i.e., Noah, Mosaic, and VIC) and research (i.e., Noah-I and VIC4.0.5) NLDAS-2 land surface models exhibit similarities and differences in depicting basin-averaged energy components. For example, the energy components of the five models have similar seasonal cycles, but with different magnitudes. Generally, Noah and VIC overestimate (underestimate) sensible (latent) heat flux over several RFCs of the eastern CONUS. In contrast, Mosaic underestimates (overestimates) sensible (latent) heat flux over almost all 12 RFCs. The research Noah-I and VIC4.0.5 versions show moderate-to-large improvements (basin and model dependent) relative to their operational versions, which indicates likely pathways for future improvements in the operational NLDAS-2 system.

  4. World Energy Projection System Plus Model Documentation: Commercial Module

    EIA Publications

    2016-01-01

    The Commercial Model of the World Energy Projection System Plus (WEPS ) is an energy demand modeling system of the world commercial end?use sector at a regional level. This report describes the version of the Commercial Model that was used to produce the commercial sector projections published in the International Energy Outlook 2016 (IEO2016). The Commercial Model is one of 13 components of the WEPS system. The WEPS is a modular system, consisting of a number of separate energy models that are communicate and work with each other through an integrated system model. The model components are each developed independently, but are designed with well?defined protocols for system communication and interactivity. The WEPS modeling system uses a shared database (the “restart” file) that allows all the models to communicate with each other when they are run in sequence over a number of iterations. The overall WEPS system uses an iterative solution technique that forces convergence of consumption and supply pressures to solve for an equilibrium price.

  5. An approach to modeling and optimization of integrated renewable energy system (ires)

    NASA Astrophysics Data System (ADS)

    Maheshwari, Zeel

    The purpose of this study was to cost optimize electrical part of IRES (Integrated Renewable Energy Systems) using HOMER and maximize the utilization of resources using MATLAB programming. IRES is an effective and a viable strategy that can be employed to harness renewable energy resources to energize remote rural areas of developing countries. The resource- need matching, which is the basis for IRES makes it possible to provide energy in an efficient and cost effective manner. Modeling and optimization of IRES for a selected study area makes IRES more advantageous when compared to hybrid concepts. A remote rural area with a population of 700 in 120 households and 450 cattle is considered as an example for cost analysis and optimization. Mathematical models for key components of IRES such as biogas generator, hydropower generator, wind turbine, PV system and battery banks are developed. A discussion of the size of water reservoir required is also presented. Modeling of IRES on the basis of need to resource and resource to need matching is pursued to help in optimum use of resources for the needs. Fixed resources such as biogas and water are used in prioritized order whereas movable resources such as wind and solar can be used simultaneously for different priorities. IRES is cost optimized for electricity demand using HOMER software that is developed by the NREL (National Renewable Energy Laboratory). HOMER optimizes configuration for electrical demand only and does not consider other demands such as biogas for cooking and water for domestic and irrigation purposes. Hence an optimization program based on the need-resource modeling of IRES is performed in MATLAB. Optimization of the utilization of resources for several needs is performed. Results obtained from MATLAB clearly show that the available resources can fulfill the demand of the rural areas. Introduction of IRES in rural communities has many socio-economic implications. It brings about improvement in living

  6. Model Energy Efficiency Program Impact Evaluation Guide

    EPA Pesticide Factsheets

    Find guidance on model approaches for calculating energy, demand, and emissions savings resulting from energy efficiency programs. It describes several standard approaches that can be used in order to make these programs more efficient.

  7. Assumptions to the annual energy outlook 2000 : with projections to 2020

    DOT National Transportation Integrated Search

    2000-01-01

    This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to : generate the projections in the Annual Energy Outlook 20001 (AEO2000), including general features of : the model structure, assumptions concerning energ...

  8. Assumptions to the annual energy outlook 2001 : with projections to 2020

    DOT National Transportation Integrated Search

    2000-12-01

    This report presents the major assumptions of the National Energy Modeling System (NEMS) used to : generate the projections in the Annual Energy Outlook 20011 (AEO2001), including general features of : the model structure, assumptions concerning ener...

  9. Assumptions for the annual energy outlook 2003 : with projections to 2025

    DOT National Transportation Integrated Search

    2003-01-01

    This report presents the major assumptions of the National Energy Modeling System (NEMS) used to : generate the projections in the Annual Energy Outlook 20031 (AEO2003), including general features of : the model structure, assumptions concerning ener...

  10. Building an Efficient Model for Afterburn Energy Release

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

    Alves, S; Kuhl, A; Najjar, F

    2012-02-03

    Many explosives will release additional energy after detonation as the detonation products mix with the ambient environment. This additional energy release, referred to as afterburn, is due to combustion of undetonated fuel with ambient oxygen. While the detonation energy release occurs on a time scale of microseconds, the afterburn energy release occurs on a time scale of milliseconds with a potentially varying energy release rate depending upon the local temperature and pressure. This afterburn energy release is not accounted for in typical equations of state, such as the Jones-Wilkins-Lee (JWL) model, used for modeling the detonation of explosives. Here wemore » construct a straightforward and efficient approach, based on experiments and theory, to account for this additional energy release in a way that is tractable for large finite element fluid-structure problems. Barometric calorimeter experiments have been executed in both nitrogen and air environments to investigate the characteristics of afterburn for C-4 and other materials. These tests, which provide pressure time histories, along with theoretical and analytical solutions provide an engineering basis for modeling afterburn with numerical hydrocodes. It is toward this end that we have constructed a modified JWL equation of state to account for afterburn effects on the response of structures to blast. The modified equation of state includes a two phase afterburn energy release to represent variations in the energy release rate and an afterburn energy cutoff to account for partial reaction of the undetonated fuel.« less

  11. FOSSIL2 energy policy model documentation: generic structures of the FOSSIL2 model

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

    None

    1980-10-01

    This report discusses the structure, derivations, assumptions, and mathematical formulation of the FOSSIL2 model. Each major facet of the model - supply/demand interactions, industry financing, and production - has been designed to parallel closely the actual cause/effect relationships determining the behavior of the United States energy system. The data base for the FOSSIL2 program is large. When possible, all data were obtained from sources well known to experts in the energy field. Cost and resource estimates are based on DOE data whenever possible. This report presents the FOSSIL2 model at several levels. In Volume I, an overview of the basicmore » structures, assumptions, and behavior of the FOSSIL2 model is presented so that the reader can understand the results of various policy tests. The discussion covers the three major building blocks, or generic structures, used to construct the model: supply/demand balance; finance and capital formation; and energy production. These structures reflect the components and interactions of the major processes within each energy industry that directly affect the dynamics of fuel supply, demand, and price within the energy system as a whole.« less

  12. Energy savings modelling of re-tuning energy conservation measures in large office buildings

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

    Fernandez, Nick; Katipamula, Srinivas; Wang, Weimin

    Today, many large commercial buildings use sophisticated building automation systems (BASs) to manage a wide range of building equipment. While the capabilities of BASs have increased over time, many buildings still do not fully use the BAS’s capabilities and are not properly commissioned, operated or maintained, which leads to inefficient operation, increased energy use, and reduced lifetimes of the equipment. This paper investigates the energy savings potential of several common HVAC system re-tuning measures on a typical large office building, using the Department of Energy’s building energy modeling software, EnergyPlus. The baseline prototype model uses roughly as much energy asmore » an average large office building in existing building stock, but does not utilize any re-tuning measures. Individual re-tuning measures simulated against this baseline include automatic schedule adjustments, damper minimum flow adjustments, thermostat adjustments, as well as dynamic resets (set points that change continuously with building and/or outdoor conditions) to static pressure, supply-air temperature, condenser water temperature, chilled and hot water temperature, and chilled and hot water differential pressure set points. Six combinations of these individual measures have been formulated – each designed to conform to limitations to implementation of certain individual measures that might exist in typical buildings. All the individual measures and combinations were simulated in 16 climate locations representative of specific U.S. climate zones. The modeling results suggest that the most effective energy savings measures are those that affect the demand-side of the building (air-systems and schedules). Many of the demand-side individual measures were capable of reducing annual total HVAC system energy consumption by over 20% in most cities that were modeled. Supply side measures affecting HVAC plant conditions were only modestly successful (less than 5% annual HVAC

  13. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

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

    Sanyal, Jibonananda; New, Joshua Ryan; Edwards, Richard

    2014-01-01

    Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manually by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building energy modeling unfeasible for smaller projects. In this paper, we describe the Autotune research which employs machine learning algorithms to generate agents for the different kinds of standardmore » reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of EnergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-effective calibration of building models.« less

  14. Energy consumption model on WiMAX subscriber station

    NASA Astrophysics Data System (ADS)

    Mubarakah, N.; Suherman; Al-Hakim, M. Y.; Warman, E.

    2018-02-01

    Mobile communication technologies move toward miniaturization. Mobile device’s energy source relies on its battery endurance. The smaller the mobile device, it is expected the slower the battery drains. Energy consumption reduction in mobile devices has been of interest of researcher. In order to optimize energy consumption, its usage should be predictable. This paper proposes a model of predicted energy amount consumed by the WiMAX subscriber station by using regression analysis of active WiMAX states and their durations. The proposed model was assessed by using NS-2 simulation for more than a hundred thousand of recorded energy consumptions data in every WiMAX states. The assessment show a small average deviation between predicted and measured energy consumptions, about 0.18% for training data and 0.187% and 0.191% for test data.

  15. Comparison of Software Models for Energy Savings from Cool Roofs

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

    New, Joshua Ryan; Miller, William A; Huang, Yu

    2014-01-01

    A web-based Roof Savings Calculator (RSC) has been deployed for the United States Department of Energy as an industry-consensus tool to help building owners, manufacturers, distributors, contractors and researchers easily run complex roof and attic simulations. This tool employs modern web technologies, usability design, and national average defaults as an interface to annual simulations of hour-by-hour, whole-building performance using the world-class simulation tools DOE-2.1E and AtticSim in order to provide estimated annual energy and cost savings. In addition to cool reflective roofs, RSC simulates multiple roof and attic configurations including different roof slopes, above sheathing ventilation, radiant barriers, low-emittance roofmore » surfaces, duct location, duct leakage rates, multiple substrate types, and insulation levels. A base case and energy-efficient alternative can be compared side-by-side to estimate monthly energy. RSC was benchmarked against field data from demonstration homes in Ft. Irwin, California; while cooling savings were similar, heating penalty varied significantly across different simulation engines. RSC results reduce cool roofing cost-effectiveness thus mitigating expected economic incentives for this countermeasure to the urban heat island effect. This paper consolidates comparison of RSC s projected energy savings to other simulation engines including DOE-2.1E, AtticSim, Micropas, and EnergyPlus, and presents preliminary analyses. RSC s algorithms for capturing radiant heat transfer and duct interaction in the attic assembly are considered major contributing factors to increased cooling savings and heating penalties. Comparison to previous simulation-based studies, analysis on the force multiplier of RSC cooling savings and heating penalties, the role of radiative heat exchange in an attic assembly, and changes made for increased accuracy of the duct model are included.« less

  16. An efficient energy response model for liquid scintillator detectors

    NASA Astrophysics Data System (ADS)

    Lebanowski, Logan; Wan, Linyan; Ji, Xiangpan; Wang, Zhe; Chen, Shaomin

    2018-05-01

    Liquid scintillator detectors are playing an increasingly important role in low-energy neutrino experiments. In this article, we describe a generic energy response model of liquid scintillator detectors that provides energy estimations of sub-percent accuracy. This model fits a minimal set of physically-motivated parameters that capture the essential characteristics of scintillator response and that can naturally account for changes in scintillator over time, helping to avoid associated biases or systematic uncertainties. The model employs a one-step calculation and look-up tables, yielding an immediate estimation of energy and an efficient framework for quantifying systematic uncertainties and correlations.

  17. Integrated modelling of ecosystem services and energy systems research

    NASA Astrophysics Data System (ADS)

    Agarwala, Matthew; Lovett, Andrew; Bateman, Ian; Day, Brett; Agnolucci, Paolo; Ziv, Guy

    2016-04-01

    The UK Government is formally committed to reducing carbon emissions and protecting and improving natural capital and the environment. However, actually delivering on these objectives requires an integrated approach to addressing two parallel challenges: de-carbonising future energy system pathways; and safeguarding natural capital to ensure the continued flow of ecosystem services. Although both emphasise benefiting from natural resources, efforts to connect natural capital and energy systems research have been limited, meaning opportunities to improve management of natural resources and meet society's energy needs could be missed. The ecosystem services paradigm provides a consistent conceptual framework that applies in multiple disciplines across the natural and economic sciences, and facilitates collaboration between them. At the forefront of the field, integrated ecosystem service - economy models have guided public- and private-sector decision making at all levels. Models vary in sophistication from simple spreadsheet tools to complex software packages integrating biophysical, GIS and economic models and draw upon many fields, including ecology, hydrology, geography, systems theory, economics and the social sciences. They also differ in their ability to value changes in natural capital and ecosystem services at various spatial and temporal scales. Despite these differences, current models share a common feature: their treatment of energy systems is superficial at best. In contrast, energy systems research has no widely adopted, unifying conceptual framework that organises thinking about key system components and interactions. Instead, the literature is organised around modelling approaches, including life cycle analyses, econometric investigations, linear programming and computable general equilibrium models. However, some consistencies do emerge. First, often contain a linear set of steps, from exploration to resource supply, fuel processing, conversion

  18. Hydrogen: Its Future Role in the Nation's Energy Economy.

    PubMed

    Winsche, W E; Hoffman, K C; Salzano, F J

    1973-06-29

    technological feasibility of a hydrogen energy system be considered now. It is of vital importance to the nation to develop some general-purpose fuel that can be Produced from a variety of domestic energy sources and reduce our dependence on imported oil.

  19. Research on potential user identification model for electric energy substitution

    NASA Astrophysics Data System (ADS)

    Xia, Huaijian; Chen, Meiling; Lin, Haiying; Yang, Shuo; Miao, Bo; Zhu, Xinzhi

    2018-01-01

    The implementation of energy substitution plays an important role in promoting the development of energy conservation and emission reduction in china. Energy service management platform of alternative energy users based on the data in the enterprise production value, product output, coal and other energy consumption as a potential evaluation index, using principal component analysis model to simplify the formation of characteristic index, comprehensive index contains the original variables, and using fuzzy clustering model for the same industry user’s flexible classification. The comprehensive index number and user clustering classification based on constructed particle optimization neural network classification model based on the user, user can replace electric potential prediction. The results of an example show that the model can effectively predict the potential of users’ energy potential.

  20. HOMER® Energy Modeling Software 2003

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

    Lambert, Tom

    2003-12-31

    The HOMER® energy modeling software is a tool for designing and analyzing hybrid power systems, which contain a mix of conventional generators, cogeneration, wind turbines, solar photovoltaic, hydropower, batteries, fuel cells, hydropower, biomass and other inputs.

  1. Modeling central metabolism and energy biosynthesis across microbial life.

    PubMed

    Edirisinghe, Janaka N; Weisenhorn, Pamela; Conrad, Neal; Xia, Fangfang; Overbeek, Ross; Stevens, Rick L; Henry, Christopher S

    2016-08-08

    Automatically generated bacterial metabolic models, and even some curated models, lack accuracy in predicting energy yields due to poor representation of key pathways in energy biosynthesis and the electron transport chain (ETC). Further compounding the problem, complex interlinking pathways in genome-scale metabolic models, and the need for extensive gapfilling to support complex biomass reactions, often results in predicting unrealistic yields or unrealistic physiological flux profiles. To overcome this challenge, we developed methods and tools ( http://coremodels.mcs.anl.gov ) to build high quality core metabolic models (CMM) representing accurate energy biosynthesis based on a well studied, phylogenetically diverse set of model organisms. We compare these models to explore the variability of core pathways across all microbial life, and by analyzing the ability of our core models to synthesize ATP and essential biomass precursors, we evaluate the extent to which the core metabolic pathways and functional ETCs are known for all microbes. 6,600 (80 %) of our models were found to have some type of aerobic ETC, whereas 5,100 (62 %) have an anaerobic ETC, and 1,279 (15 %) do not have any ETC. Using our manually curated ETC and energy biosynthesis pathways with no gapfilling at all, we predict accurate ATP yields for nearly 5586 (70 %) of the models under aerobic and anaerobic growth conditions. This study revealed gaps in our knowledge of the central pathways that result in 2,495 (30 %) CMMs being unable to produce ATP under any of the tested conditions. We then established a methodology for the systematic identification and correction of inconsistent annotations using core metabolic models coupled with phylogenetic analysis. We predict accurate energy yields based on our improved annotations in energy biosynthesis pathways and the implementation of diverse ETC reactions across the microbial tree of life. We highlighted missing annotations that were essential to

  2. National Utility Rate Database: Preprint

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

    Ong, S.; McKeel, R.

    2012-08-01

    When modeling solar energy technologies and other distributed energy systems, using high-quality expansive electricity rates is essential. The National Renewable Energy Laboratory (NREL) developed a utility rate platform for entering, storing, updating, and accessing a large collection of utility rates from around the United States. This utility rate platform lives on the Open Energy Information (OpenEI) website, OpenEI.org, allowing the data to be programmatically accessed from a web browser, using an application programming interface (API). The semantic-based utility rate platform currently has record of 1,885 utility rates and covers over 85% of the electricity consumption in the United States.

  3. Evaluating CONUS-Scale Runoff Simulation across the National Water Model WRF-Hydro Implementation to Disentangle Regional Controls on Streamflow Generation and Model Error Contribution

    NASA Astrophysics Data System (ADS)

    Dugger, A. L.; Rafieeinasab, A.; Gochis, D.; Yu, W.; McCreight, J. L.; Karsten, L. R.; Pan, L.; Zhang, Y.; Sampson, K. M.; Cosgrove, B.

    2016-12-01

    Evaluation of physically-based hydrologic models applied across large regions can provide insight into dominant controls on runoff generation and how these controls vary based on climatic, biological, and geophysical setting. To make this leap, however, we need to combine knowledge of regional forcing skill, model parameter and physics assumptions, and hydrologic theory. If we can successfully do this, we also gain information on how well our current approximations of these dominant physical processes are represented in continental-scale models. In this study, we apply this diagnostic approach to a 5-year retrospective implementation of the WRF-Hydro community model configured for the U.S. National Weather Service's National Water Model (NWM). The NWM is a water prediction model in operations over the contiguous U.S. as of summer 2016, providing real-time estimates and forecasts out to 30 days of streamflow across 2.7 million stream reaches as well as distributed snowpack, soil moisture, and evapotranspiration at 1-km resolution. The WRF-Hydro system permits not only the standard simulation of vertical energy and water fluxes common in continental-scale models, but augments these processes with lateral redistribution of surface and subsurface water, simple groundwater dynamics, and channel routing. We evaluate 5 years of NLDAS-2 precipitation forcing and WRF-Hydro streamflow and evapotranspiration simulation across the contiguous U.S. at a range of spatial (gage, basin, ecoregion) and temporal (hourly, daily, monthly) scales and look for consistencies and inconsistencies in performance in terms of bias, timing, and extremes. Leveraging results from other CONUS-scale hydrologic evaluation studies, we translate our performance metrics into a matrix of likely dominant process controls and error sources (forcings, parameter estimates, and model physics). We test our hypotheses in a series of controlled model experiments on a subset of representative basins from

  4. From Buckets to Basins: Scaling up from the CZO to the NOAA National Water Model

    NASA Astrophysics Data System (ADS)

    Dugger, A. L.; Gochis, D.; Cosgrove, B.; Sampson, K. M.; McCreight, J. L.; Rafieeinasab, A.

    2017-12-01

    NOAA's National Water Model (NWM) is generating terabytes of data on current and future states of water in streams, soils, snowpacks, lakes, and floodplains across the U.S. Altogether there are approximately 2.7 million stream reaches in the NWM and land cells distributed every 250-m (soil moisture, inundation) and 1-km (snow, evapotranspiration). Water predictions span the next hour to the next 30 days. Flood forecasting is an obvious NWM priority in the near term, but longer-range plans extend to water supply planning, drought forecasting, and water quality. An obvious question posed to a model operating across this many dimensions of space, time, and variables is: are you including the right processes and parameterizations to capture the hydrologic behaviors you are designed for? To answer this question, we generally rely on networks of in-situ observations to constrain models via parameter estimation or evaluate alternate process representations. While this gets us part of the way there, the question remains how well these in-situ characterizations scale up in the context of a national-scale model. The WRF-Hydro community hydrologic modeling system provides the initial backbone for the NWM, driving simulation of water and energy within the critical zone - vertical energy and water fluxes, lateral redistribution of surface and subsurface water, simple deep groundwater dynamics, and channel routing. In this study, we first present baseline performance of the NWM over US-wide networks of streamflow (USGS), soil moisture (CRN, SCAN), and evapotranspiration (Ameriflux) observations at a range of spatial and temporal scales. We conduct a series of simple experiments using different submodel combinations of WRF-Hydro at high-resolution to predict water storage and partitioning behavior at 3 well-instrumented catchments, with the goal of optimizing combined performance of snowpack, soil moisture, ET, and streamflow prediction. We scale-up the optimal physics suites and

  5. Physical Modeling of Activation Energy in Organic Semiconductor Devices based on Energy and Momentum Conservations

    PubMed Central

    Mao, Ling-Feng; Ning, H.; Hu, Changjun; Lu, Zhaolin; Wang, Gaofeng

    2016-01-01

    Field effect mobility in an organic device is determined by the activation energy. A new physical model of the activation energy is proposed by virtue of the energy and momentum conservation equations. The dependencies of the activation energy on the gate voltage and the drain voltage, which were observed in the experiments in the previous independent literature, can be well explained using the proposed model. Moreover, the expression in the proposed model, which has clear physical meanings in all parameters, can have the same mathematical form as the well-known Meyer-Neldel relation, which lacks of clear physical meanings in some of its parameters since it is a phenomenological model. Thus it not only describes a physical mechanism but also offers a possibility to design the next generation of high-performance optoelectronics and integrated flexible circuits by optimizing device physical parameter. PMID:27103586

  6. The national operational environment model (NOEM)

    NASA Astrophysics Data System (ADS)

    Salerno, John J.; Romano, Brian; Geiler, Warren

    2011-06-01

    The National Operational Environment Model (NOEM) is a strategic analysis/assessment tool that provides insight into the complex state space (as a system) that is today's modern operational environment. The NOEM supports baseline forecasts by generating plausible futures based on the current state. It supports what-if analysis by forecasting ramifications of potential "Blue" actions on the environment. The NOEM also supports sensitivity analysis by identifying possible pressure (leverage) points in support of the Commander that resolves forecasted instabilities, and by ranking sensitivities in a list for each leverage point and response. The NOEM can be used to assist Decision Makers, Analysts and Researchers with understanding the inter-workings of a region or nation state, the consequences of implementing specific policies, and the ability to plug in new operational environment theories/models as they mature. The NOEM is built upon an open-source, license-free set of capabilities, and aims to provide support for pluggable modules that make up a given model. The NOEM currently has an extensive number of modules (e.g. economic, security & social well-being pieces such as critical infrastructure) completed along with a number of tools to exercise them. The focus this year is on modeling the social and behavioral aspects of a populace within their environment, primarily the formation of various interest groups, their beliefs, their requirements, their grievances, their affinities, and the likelihood of a wide range of their actions, depending on their perceived level of security and happiness. As such, several research efforts are currently underway to model human behavior from a group perspective, in the pursuit of eventual integration and balance of populace needs/demands within their respective operational environment and the capacity to meet those demands. In this paper we will provide an overview of the NOEM, the need for and a description of its main components

  7. Systematic Uncertainties in High-Energy Hadronic Interaction Models

    NASA Astrophysics Data System (ADS)

    Zha, M.; Knapp, J.; Ostapchenko, S.

    2003-07-01

    Hadronic interaction models for cosmic ray energies are uncertain since our knowledge of hadronic interactions is extrap olated from accelerator experiments at much lower energies. At present most high-energy models are based on Grib ov-Regge theory of multi-Pomeron exchange, which provides a theoretical framework to evaluate cross-sections and particle production. While experimental data constrain some of the model parameters, others are not well determined and are therefore a source of systematic uncertainties. In this paper we evaluate the variation of results obtained with the QGSJET model, when modifying parameters relating to three ma jor sources of uncertainty: the form of the parton structure function, the role of diffractive interactions, and the string hadronisation. Results on inelastic cross sections, on secondary particle production and on the air shower development are discussed.

  8. Observing and Modeling Earth's Energy Flows

    NASA Astrophysics Data System (ADS)

    Stevens, Bjorn; Schwartz, Stephen E.

    2012-07-01

    This article reviews, from the authors' perspective, progress in observing and modeling energy flows in Earth's climate system. Emphasis is placed on the state of understanding of Earth's energy flows and their susceptibility to perturbations, with particular emphasis on the roles of clouds and aerosols. More accurate measurements of the total solar irradiance and the rate of change of ocean enthalpy help constrain individual components of the energy budget at the top of the atmosphere to within ±2 W m-2. The measurements demonstrate that Earth reflects substantially less solar radiation and emits more terrestrial radiation than was believed even a decade ago. Active remote sensing is helping to constrain the surface energy budget, but new estimates of downwelling surface irradiance that benefit from such methods are proving difficult to reconcile with existing precipitation climatologies. Overall, the energy budget at the surface is much more uncertain than at the top of the atmosphere. A decade of high-precision measurements of the energy budget at the top of the atmosphere is providing new opportunities to track Earth's energy flows on timescales ranging from days to years, and at very high spatial resolution. The measurements show that the principal limitation in the estimate of secular trends now lies in the natural variability of the Earth system itself. The forcing-feedback-response framework, which has developed to understand how changes in Earth's energy flows affect surface temperature, is reviewed in light of recent work that shows fast responses (adjustments) of the system are central to the definition of the effective forcing that results from a change in atmospheric composition. In many cases, the adjustment, rather than the characterization of the compositional perturbation (associated, for instance, with changing greenhouse gas concentrations, or aerosol burdens), limits accurate determination of the radiative forcing. Changes in clouds contribute

  9. Large deviation approach to the generalized random energy model

    NASA Astrophysics Data System (ADS)

    Dorlas, T. C.; Dukes, W. M. B.

    2002-05-01

    The generalized random energy model is a generalization of the random energy model introduced by Derrida to mimic the ultrametric structure of the Parisi solution of the Sherrington-Kirkpatrick model of a spin glass. It was solved exactly in two special cases by Derrida and Gardner. A complete solution for the thermodynamics in the general case was given by Capocaccia et al. Here we use large deviation theory to analyse the model in a very straightforward way. We also show that the variational expression for the free energy can be evaluated easily using the Cauchy-Schwarz inequality.

  10. Modeling energy production of solar thermal systems and wind turbines for installation at corn ethanol plants

    NASA Astrophysics Data System (ADS)

    Ehrke, Elizabeth

    Nearly every aspect of human existence relies on energy in some way. Most of this energy is currently derived from fossil fuel resources. Increasing energy demands coupled with environmental and national security concerns have facilitated the move towards renewable energy sources. Biofuels like corn ethanol are one of the ways the U.S. has significantly reduced petroleum consumption. However, the large energy requirement of corn ethanol limits the net benefit of the fuel. Using renewable energy sources to produce ethanol can greatly improve its economic and environmental benefits. The main purpose of this study was to model the useful energy received from a solar thermal array and a wind turbine at various locations to determine the feasibility of applying these technologies at ethanol plants around the country. The model calculates thermal energy received from a solar collector array and electricity generated by a wind turbine utilizing various input data to characterize the equipment. Project cost and energy rate inputs are used to evaluate the profitability of the solar array or wind turbine. The current state of the wind and solar markets were examined to give an accurate representation of the economics of each industry. Eighteen ethanol plant locations were evaluated for the viability of a solar thermal array and/or wind turbine. All ethanol plant locations have long payback periods for solar thermal arrays, but high natural gas prices significantly reduce this timeframe. Government incentives will be necessary for the economic feasibility of solar thermal arrays. Wind turbines can be very profitable for ethanol plants in the Midwest due to large wind resources. The profitability of wind power is sensitive to regional energy prices. However, government incentives for wind power do not significantly change the economic feasibility of a wind turbine. This model can be used by current or future ethanol facilities to investigate or begin the planning process for a

  11. Beam energy dependence of elliptic and triangular flow with the AMPT model

    NASA Astrophysics Data System (ADS)

    Solanki, Dronika; Sorensen, Paul; Basu, Sumit; Raniwala, Rashmi; Nayak, Tapan Kumar

    2013-03-01

    A beam energy scan has been carried out at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory to search for the onset of deconfinement and a possible critical point where the transition from a Quark Gluon Plasma to a hadronic phase changes from a rapid cross-over to a first order phase transition. Anisotropy in the azimuthal distribution of produced particles such as the second and third harmonics v2 and v3 are expected to be sensitive to the existence of a Quark Gluon Plasma phase and the Equation of State of the system. For this reason, they are of great experimental interests. In this Letter we report on calculations of v2 and v3 from the AMPT model in the Default (Def.) and String Melting (SM) mode to provide a reference for the energy dependence of v2 and v3 for √{sNN} from 7.7 GeV to 2.76 TeV. We expect that in the case that collisions cease to produce QGP at lower colliding energies, data will deviate from the AMPT String Melting calculations and come in better agreement with the Default calculations.

  12. Variable sound speed in interacting dark energy models

    NASA Astrophysics Data System (ADS)

    Linton, Mark S.; Pourtsidou, Alkistis; Crittenden, Robert; Maartens, Roy

    2018-04-01

    We consider a self-consistent and physical approach to interacting dark energy models described by a Lagrangian, and identify a new class of models with variable dark energy sound speed. We show that if the interaction between dark energy in the form of quintessence and cold dark matter is purely momentum exchange this generally leads to a dark energy sound speed that deviates from unity. Choosing a specific sub-case, we study its phenomenology by investigating the effects of the interaction on the cosmic microwave background and linear matter power spectrum. We also perform a global fitting of cosmological parameters using CMB data, and compare our findings to ΛCDM.

  13. A nuclear fragmentation energy deposition model

    NASA Technical Reports Server (NTRS)

    Ngo, D. M.; Wilson, J. W.; Fogarty, T. N.; Buck, W. W.; Townsend, L. W. (Principal Investigator)

    1991-01-01

    A formalism for target fragment transport is presented with application to energy loss spectra in thin silicon devices. A nuclear data base is recommended that agrees well with the measurements of McNulty et al. using surface barrier detectors. High-energy events observed by McNulty et al., which are not predicted by intranuclear cascade models, are well represented by the present work.

  14. Short-Term Energy Outlook Model Documentation: Electricity Generation and Fuel Consumption Models

    EIA Publications

    2014-01-01

    The electricity generation and fuel consumption models of the Short-Term Energy Outlook (STEO) model provide forecasts of electricity generation from various types of energy sources and forecasts of the quantities of fossil fuels consumed for power generation. The structure of the electricity industry and the behavior of power generators varies between different areas of the United States. In order to capture these differences, the STEO electricity supply and fuel consumption models are designed to provide forecasts for the four primary Census regions.

  15. Ensemble streamflow assimilation with the National Water Model.

    NASA Astrophysics Data System (ADS)

    Rafieeinasab, A.; McCreight, J. L.; Noh, S.; Seo, D. J.; Gochis, D.

    2017-12-01

    Through case studies of flooding across the US, we compare the performance of the National Water Model (NWM) data assimilation (DA) scheme to that of a newly implemented ensemble Kalman filter approach. The NOAA National Water Model (NWM) is an operational implementation of the community WRF-Hydro modeling system. As of August 2016, the NWM forecasts of distributed hydrologic states and fluxes (including soil moisture, snowpack, ET, and ponded water) over the contiguous United States have been publicly disseminated by the National Center for Environmental Prediction (NCEP) . It also provides streamflow forecasts at more than 2.7 million river reaches up to 30 days in advance. The NWM employs a nudging scheme to assimilate more than 6,000 USGS streamflow observations and provide initial conditions for its forecasts. A problem with nudging is how the forecasts relax quickly to open-loop bias in the forecast. This has been partially addressed by an experimental bias correction approach which was found to have issues with phase errors during flooding events. In this work, we present an ensemble streamflow data assimilation approach combining new channel-only capabilities of the NWM and HydroDART (a coupling of the offline WRF-Hydro model and NCAR's Data Assimilation Research Testbed; DART). Our approach focuses on the single model state of discharge and incorporates error distributions on channel-influxes (overland and groundwater) in the assimilation via an ensemble Kalman filter (EnKF). In order to avoid filter degeneracy associated with a limited number of ensemble at large scale, DART's covariance inflation (Anderson, 2009) and localization capabilities are implemented and evaluated. The current NWM data assimilation scheme is compared to preliminary results from the EnKF application for several flooding case studies across the US.

  16. Work-Related Injury Surveillance in Vietnam: A National Reporting System Model

    PubMed Central

    Marucci-Wellman, Helen; Wegman, David H.; Leamon, Tom B.; Tuyet Binh, Ta Thi; Diep, Nguyen Bich; Kriebel, David

    2013-01-01

    Developing nations bear a substantial portion of the global burden of injury. Public health surveillance models in developing countries should recognize injury risks for all levels of society and all causes and should incorporate various groups of workers and industries, including subsistence agriculture. However, many developing nations do not have an injury registration system; current data collection methods result in gross national undercounts of injuries, failing to distinguish injuries that occur during work. In 2006, we established an active surveillance system in Vietnam’s Xuan Tien commune and investigated potential methods for surveillance of work-related injuries. On the basis of our findings, we recommend a national model for work-related injury surveillance in Vietnam that builds on the existing health surveillance system. PMID:24028255

  17. Extreme Conditions Modeling Workshop Report

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

    Coe, Ryan Geoffrey; Neary, Vincent Sinclair; Lawon, Michael J.

    2014-07-01

    Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, New Mexico on May 13–14, 2014. The objective of the workshop was to review the current state of knowledge on how to numerically and experimentally model WECs in extreme conditions (e.g. large ocean storms) and to suggest how national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry. More than 30 U.S. and European WEC experts from industry, academia, and national research institutes attended the workshop, which consistedmore » of presentations from W EC developers, invited keynote presentations from subject matter experts, breakout sessions, and a final plenary session .« less

  18. The use of remote sensing and linear wave theory to model local wave energy around Alphonse Atoll, Seychelles

    NASA Astrophysics Data System (ADS)

    Hamylton, S.

    2011-12-01

    This paper demonstrates a practical step-wise method for modelling wave energy at the landscape scale using GIS and remote sensing techniques at Alphonse Atoll, Seychelles. Inputs are a map of the benthic surface (seabed) cover, a detailed bathymetric model derived from remotely sensed Compact Airborne Spectrographic Imager (CASI) data and information on regional wave heights. Incident energy at the reef crest around the atoll perimeter is calculated as a function of its deepwater value with wave parameters (significant wave height and period) hindcast in the offshore zone using the WaveWatch III application developed by the National Oceanographic and Atmospheric Administration. Energy modifications are calculated at constant intervals as waves transform over the forereef platform along a series of reef profile transects running into the atoll centre. Factors for shoaling, refraction and frictional attenuation are calculated at each interval for given changes in bathymetry and benthic coverage type and a nominal reduction in absolute energy is incorporated at the reef crest to account for wave breaking. Overall energy estimates are derived for a period of 5 years and related to spatial patterning of reef flat surface cover (sand and seagrass patches).

  19. Modeling Air Traffic Management Technologies with a Queuing Network Model of the National Airspace System

    NASA Technical Reports Server (NTRS)

    Long, Dou; Lee, David; Johnson, Jesse; Gaier, Eric; Kostiuk, Peter

    1999-01-01

    This report describes an integrated model of air traffic management (ATM) tools under development in two National Aeronautics and Space Administration (NASA) programs -Terminal Area Productivity (TAP) and Advanced Air Transport Technologies (AATT). The model is made by adjusting parameters of LMINET, a queuing network model of the National Airspace System (NAS), which the Logistics Management Institute (LMI) developed for NASA. Operating LMINET with models of various combinations of TAP and AATT will give quantitative information about the effects of the tools on operations of the NAS. The costs of delays under different scenarios are calculated. An extension of Air Carrier Investment Model (ACIM) under ASAC developed by the Institute for NASA maps the technologies' impacts on NASA operations into cross-comparable benefits estimates for technologies and sets of technologies.

  20. Model Documentation of Base Case Data | Regional Energy Deployment System

    Science.gov Websites

    Model | Energy Analysis | NREL Documentation of Base Case Data Model Documentation of Base Case base case of the model. The base case was developed simply as a point of departure for other analyses Base Case derives many of its inputs from the Energy Information Administration's (EIA's) Annual Energy

  1. Dynamic Modeling of Learning in Emerging Energy Industries: The Example of Advanced Biofuels in the United States: Preprint

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

    Vimmerstedt, Laura J.; Bush, Brian W.; Peterson, Steven O.

    This paper (and its supplemental model) presents novel approaches to modeling interactions and related policies among investment, production, and learning in an emerging competitive industry. New biomass-to-biofuels pathways are being developed and commercialized to support goals for U.S. advanced biofuel use, such as those in the Energy Independence and Security Act of 2007. We explore the impact of learning rates and techno-economics in a learning model excerpted from the Biomass Scenario Model (BSM), developed by the U.S. Department of Energy and the National Renewable Energy Laboratory to explore the impact of biofuel policy on the evolution of the biofuels industry.more » The BSM integrates investment, production, and learning among competing biofuel conversion options that are at different stages of industrial development. We explain the novel methods used to simulate the impact of differing assumptions about mature industry techno-economics and about learning rates while accounting for the different maturity levels of various conversion pathways. A sensitivity study shows that the parameters studied (fixed capital investment, process yield, progress ratios, and pre-commercial investment) exhibit highly interactive effects, and the system, as modeled, tends toward market dominance of a single pathway due to competition and learning dynamics.« less

  2. International energy outlook 1996

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

    NONE

    1996-05-01

    This International Energy Outlook presents historical data from 1970 to 1993 and EIA`s projections of energy consumption and carbon emissions through 2015 for 6 country groups. Prospects for individual fuels are discussed. Summary tables of the IEO96 world energy consumption, oil production, and carbon emissions projections are provided in Appendix A. The reference case projections of total foreign energy consumption and of natural gas, coal, and renewable energy were prepared using EIA`s World Energy Projection System (WEPS) model. Reference case projections of foreign oil production and consumption were prepared using the International Energy Module of the National Energy Modeling Systemmore » (NEMS). Nuclear consumption projections were derived from the International Nuclear Model, PC Version (PC-INM). Alternatively, nuclear capacity projections were developed using two methods: the lower reference case projections were based on analysts` knowledge of the nuclear programs in different countries; the upper reference case was generated by the World Integrated Nuclear Evaluation System (WINES)--a demand-driven model. In addition, the NEMS Coal Export Submodule (CES) was used to derive flows in international coal trade. As noted above, foreign projections of electricity demand are now projected as part of the WEPS. 64 figs., 62 tabs.« less

  3. Integrated process modeling for the laser inertial fusion energy (LIFE) generation system

    NASA Astrophysics Data System (ADS)

    Meier, W. R.; Anklam, T. M.; Erlandson, A. C.; Miles, R. R.; Simon, A. J.; Sawicki, R.; Storm, E.

    2010-08-01

    A concept for a new fusion-fission hybrid technology is being developed at Lawrence Livermore National Laboratory. The primary application of this technology is base-load electrical power generation. However, variants of the baseline technology can be used to "burn" spent nuclear fuel from light water reactors or to perform selective transmutation of problematic fission products. The use of a fusion driver allows very high burn-up of the fission fuel, limited only by the radiation resistance of the fuel form and system structures. As a part of this process, integrated process models have been developed to aid in concept definition. Several models have been developed. A cost scaling model allows quick assessment of design changes or technology improvements on cost of electricity. System design models are being used to better understand system interactions and to do design trade-off and optimization studies. Here we describe the different systems models and present systems analysis results. Different market entry strategies are discussed along with potential benefits to US energy security and nuclear waste disposal. Advanced technology options are evaluated and potential benefits from additional R&D targeted at the different options is quantified.

  4. Supporting Energy-Related Societal Applications Using NASA's Satellite and Modeling Data

    NASA Technical Reports Server (NTRS)

    Stackhouse, Paul W., Jr.; Whitlock, C. H.; Chandler, W. S.; Hoell, J. M.; Zhang, T.; Mikovitz, J. C.; Leng, G. S.; Lilienthal, P.

    2006-01-01

    Improvements to NASA Surface Meteorology and Solar Energy (SSE) web site are now being made through the Prediction of Worldwide Energy Resource (POWER) project under NASA Science Mission Directorate Applied Science Energy Management Program. The purpose of this project is to tailor NASA Science Mission results for energy sector applications and decision support systems. The current status of SSE and research towards upgrading estimates of total, direct and diffuse solar irradiance from NASA satellite measurements and analysis are discussed. Part of this work involves collaborating with partners such as the National Renewable Energy Laboratory (NREL) and the Natural Resources Canada (NRCan). Energy Management and POWER plans including historic, near-term and forecast datasets are also overviewed.

  5. Low-energy Electrons in Gamma-Ray Burst Afterglow Models

    NASA Astrophysics Data System (ADS)

    Jóhannesson, Guđlaugur; Björnsson, Gunnlaugur

    2018-05-01

    Observations of gamma-ray burst (GRB) afterglows have long provided the most detailed information about the origin of this spectacular phenomenon. The model that is most commonly used to extract physical properties of the event from the observations is the relativistic fireball model, where ejected material moving at relativistic speeds creates a shock wave when it interacts with the surrounding medium. Electrons are accelerated in the shock wave, generating the observed synchrotron emission through interactions with the magnetic field in the downstream medium. It is usually assumed that the accelerated electrons follow a simple power-law distribution in energy between specific energy boundaries, and that no electron exists outside these boundaries. This Letter explores the consequences of adding a low-energy power-law segment to the electron distribution with energy that contributes insignificantly to the total energy budget of the distribution. The low-energy electrons have a significant impact on the radio emission, providing synchrotron absorption and emission at these long wavelengths. Shorter wavelengths are affected through the normalization of the distribution. The new model is used to analyze the light curves of GRB 990510, and the resulting parameters are compared to a model without the extra electrons. The quality of the fit and the best-fit parameters are significantly affected by the additional model component. The new component is in one case found to strongly affect the X-ray light curves, showing how changes to the model at radio frequencies can affect light curves at other frequencies through changes in best-fit model parameters.

  6. On the implementation of the spherical collapse model for dark energy models

    NASA Astrophysics Data System (ADS)

    Pace, Francesco; Meyer, Sven; Bartelmann, Matthias

    2017-10-01

    In this work we review the theory of the spherical collapse model and critically analyse the aspects of the numerical implementation of its fundamental equations. By extending a recent work by [1], we show how different aspects, such as the initial integration time, the definition of constant infinity and the criterion for the extrapolation method (how close the inverse of the overdensity has to be to zero at the collapse time) can lead to an erroneous estimation (a few per mill error which translates to a few percent in the mass function) of the key quantity in the spherical collapse model: the linear critical overdensity δc, which plays a crucial role for the mass function of halos. We provide a better recipe to adopt in designing a code suitable to a generic smooth dark energy model and we compare our numerical results with analytic predictions for the EdS and the ΛCDM models. We further discuss the evolution of δc for selected classes of dark energy models as a general test of the robustness of our implementation. We finally outline which modifications need to be taken into account to extend the code to more general classes of models, such as clustering dark energy models and non-minimally coupled models.

  7. Integrated decision-making about housing, energy and wellbeing: a qualitative system dynamics model.

    PubMed

    Macmillan, Alexandra; Davies, Michael; Shrubsole, Clive; Luxford, Naomi; May, Neil; Chiu, Lai Fong; Trutnevyte, Evelina; Bobrova, Yekatherina; Chalabi, Zaid

    2016-03-08

    The UK government has an ambitious goal to reduce carbon emissions from the housing stock through energy efficiency improvements. This single policy goal is a strong driver for change in the housing system, but comes with positive and negative "unintended consequences" across a broad range of outcomes for health, equity and environmental sustainability. The resulting policies are also already experiencing under-performance through a failure to consider housing as a complex system. This research aimed to move from considering disparate objectives of housing policies in isolation to mapping the links between environmental, economic, social and health outcomes as a complex system. We aimed to support a broad range of housing policy stakeholders to improve their understanding of housing as a complex system through a collaborative learning process. We used participatory system dynamics modelling to develop a qualitative causal theory linking housing, energy and wellbeing. Qualitative interviews were followed by two interactive workshops to develop the model, involving representatives from national and local government, housing industries, non-government organisations, communities and academia. More than 50 stakeholders from 37 organisations participated. The process resulted in a shared understanding of wellbeing as it relates to housing; an agreed set of criteria against which to assess to future policy options; and a comprehensive set of causal loop diagrams describing the housing, energy and wellbeing system. The causal loop diagrams cover seven interconnected themes: community connection and quality of neighbourhoods; energy efficiency and climate change; fuel poverty and indoor temperature; household crowding; housing affordability; land ownership, value and development patterns; and ventilation and indoor air pollution. The collaborative learning process and the model have been useful for shifting the thinking of a wide range of housing stakeholders towards a more

  8. National Energy with Weather System Simultator (NEWS) Sets Bounds on Cost Effective Wind and Solar PV Deployment in the USA without the Use of Storage.

    NASA Astrophysics Data System (ADS)

    Clack, C.; MacDonald, A. E.; Alexander, A.; Dunbar, A. D.; Xie, Y.; Wilczak, J. M.

    2014-12-01

    The importance of weather-driven renewable energies for the United States energy portfolio is growing. The main perceived problems with weather-driven renewable energies are their intermittent nature, low power density, and high costs. In 2009, we began a large-scale investigation into the characteristics of weather-driven renewables. The project utilized the best available weather data assimilation model to compute high spatial and temporal resolution power datasets for the renewable resources of wind and solar PV. The weather model used is the Rapid Update Cycle for the years of 2006-2008. The team also collated a detailed electrical load dataset for the contiguous USA from the Federal Energy Regulatory Commission for the same three-year period. The coincident time series of electrical load and weather data allows the possibility of temporally correlated computations for optimal design over large geographic areas. The past two years have seen the development of a cost optimization mathematic model that designs electric power systems. The model plans the system and dispatches it on an hourly timescale. The system is designed to be reliable, reduce carbon, reduce variability of renewable resources and move the electricity about the whole domain. The system built would create the infrastructure needed to reduce carbon emissions to 0 by 2050. The advantages of the system is reduced water demain, dual incomes for farmers, jobs for construction of the infrastructure, and price stability for energy. One important simplified test that was run included existing US carbon free power sources, natural gas power when needed, and a High Voltage Direct Current power transmission network. This study shows that the costs and carbon emissions from an optimally designed national system decrease with geographic size. It shows that with achievable estimates of wind and solar generation costs, that the US could decrease its carbon emissions by up to 80% by the early 2030s, without an

  9. Modelling Electrical Energy Consumption in Automotive Paint Shop

    NASA Astrophysics Data System (ADS)

    Oktaviandri, Muchamad; Safiee, Aidil Shafiza Bin

    2018-03-01

    Industry players are seeking ways to reduce operational cost to sustain in a challenging economic trend. One key aspect is an energy cost reduction. However, implementing energy reduction strategy often struggle with obstructions, which slow down their realization and implementation. Discrete event simulation method is an approach actively discussed in current research trend to overcome such obstructions because of its flexibility and comprehensiveness. Meanwhile, in automotive industry, paint shop is considered the most energy consumer area which is reported consuming about 50%-70% of overall automotive plant consumption. Hence, this project aims at providing a tool to model and simulate energy consumption at paint shop area by conducting a case study at XYZ Company, one of the automotive companies located at Pekan, Pahang. The simulation model was developed using Tecnomatix Plant Simulation software version 13. From the simulation result, the model was accurately within ±5% for energy consumption and ±15% for maximum demand after validation with real system. Two different energy saving scenarios were tested. Scenario 1 was based on production scheduling approach under low demand situation which results energy saving up to 30% on the consumption. Meanwhile scenario 2 was based on substituting high power compressor with the lower power compressor. The results were energy consumption saving of approximately 1.42% and maximum demand reduction about 1.27%. This approach would help managers and engineers to justify worthiness of investment for implementing the reduction strategies.

  10. Requirements for energy based constitutive modeling in tire mechanics

    NASA Technical Reports Server (NTRS)

    Luchini, John R.; Peters, Jim M.; Mars, Will V.

    1995-01-01

    The history, requirements, and theoretical basis of a new energy based constitutive model for (rubber) material elasticity, hysteresis, and failure are presented. Energy based elasticity is handled by many constitutive models, both in one dimension and in three dimensions. Conversion of mechanical energy to heat can be modeled with viscoelasticity or as structural hysteresis. We are seeking unification of elasticity, hysteresis, and failure mechanisms such as fatigue and wear. An energy state characterization for failure criteria of (rubber) materials may provide this unification and also help explain the interaction of temperature effects with failure mechanisms which are described as creation of growth of internal crack surface. Improved structural modeling of tires with FEM should result from such a unified constitutive theory. The theory will also guide experimental work and should enable better interpretation of the results of computational stress analyses.

  11. Special Analysis for the Disposal of the Lawrence Livermore National Laboratory EnergyX Macroencapsulated Waste Stream at the Area 5 Radioactive Waste Management Site, Nevada National Security Site, Nye County, Nevada

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

    Shott, Gregory J.

    This special analysis (SA) evaluates whether the Lawrence Livermore National Laboratory (LLNL) EnergyX Macroencapsulated waste stream (B LAMACRONCAP, Revision 1) is suitable for disposal by shallow land burial (SLB) at the Area 5 Radioactive Waste Management Site (RWMS) at the Nevada National Security Site (NNSS). The LLNL EnergyX Macroencapsulated waste stream is macroencapsulated mixed waste generated during research laboratory operations and maintenance (LLNL 2015). The LLNL EnergyX Macroencapsulated waste stream required a special analysis due to tritium (3H), cobalt-60 (60Co), cesium-137 (137Cs), and radium-226 (226Ra) exceeding the NNSS Waste Acceptance Criteria (WAC) Action Levels (U.S. Department of Energy, National Nuclearmore » Security Administration Nevada Field Office [NNSA/NFO] 2015).The results indicate that all performance objectives can be met with disposal of the waste stream in a SLB trench. Addition of the LLNL EnergyX Macroencapsulated inventory slightly increases multiple performance assessment results, with the largest relative increase occurring for the all-pathways annual total effective dose (TED). The maximum mean and 95th percentile 222Rn flux density remain less than the performance objective throughout the compliance period. The LLNL EnergyX Macroencapsulated waste stream is suitable for disposal by SLB at the Area 5 RWMS. The waste stream is recommended for approval without conditions.« less

  12. Modeling Pumped Thermal Energy Storage with Waste Heat Harvesting

    NASA Astrophysics Data System (ADS)

    Abarr, Miles L. Lindsey

    This work introduces a new concept for a utility scale combined energy storage and generation system. The proposed design utilizes a pumped thermal energy storage (PTES) system, which also utilizes waste heat leaving a natural gas peaker plant. This system creates a low cost utility-scale energy storage system by leveraging this dual-functionality. This dissertation first presents a review of previous work in PTES as well as the details of the proposed integrated bottoming and energy storage system. A time-domain system model was developed in Mathworks R2016a Simscape and Simulink software to analyze this system. Validation of both the fluid state model and the thermal energy storage model are provided. The experimental results showed the average error in cumulative fluid energy between simulation and measurement was +/- 0.3% per hour. Comparison to a Finite Element Analysis (FEA) model showed <1% error for bottoming mode heat transfer. The system model was used to conduct sensitivity analysis, baseline performance, and levelized cost of energy of a recently proposed Pumped Thermal Energy Storage and Bottoming System (Bot-PTES) that uses ammonia as the working fluid. This analysis focused on the effects of hot thermal storage utilization, system pressure, and evaporator/condenser size on the system performance. This work presents the estimated performance for a proposed baseline Bot-PTES. Results of this analysis showed that all selected parameters had significant effects on efficiency, with the evaporator/condenser size having the largest effect over the selected ranges. Results for the baseline case showed stand-alone energy storage efficiencies between 51 and 66% for varying power levels and charge states, and a stand-alone bottoming efficiency of 24%. The resulting efficiencies for this case were low compared to competing technologies; however, the dual-functionality of the Bot-PTES enables it to have higher capacity factor, leading to 91-197/MWh levelized cost

  13. Three- and two-dimensional simulations of counter-propagating shear experiments at high energy densities at the National Ignition Facility

    DOE PAGES

    Wang, Ping; Zhou, Ye; MacLaren, Stephan A.; ...

    2015-11-06

    Three- and two-dimensional numerical studies have been carried out to simulate recent counter-propagating shear flow experiments on the National Ignition Facility. A multi-physics three-dimensional, time-dependent radiation hydrodynamics simulation code is used. Using a Reynolds Averaging Navier-Stokes model, we show that the evolution of the mixing layer width obtained from the simulations agrees well with that measured from the experiments. A sensitivity study is conducted to illustrate a 3D geometrical effect that could confuse the measurement at late times, if the energy drives from the two ends of the shock tube are asymmetric. Implications for future experiments are discussed.

  14. Exacerbating the Cosmological Constant Problem with Interacting Dark Energy Models.

    PubMed

    Marsh, M C David

    2017-01-06

    Future cosmological surveys will probe the expansion history of the Universe and constrain phenomenological models of dark energy. Such models do not address the fine-tuning problem of the vacuum energy, i.e., the cosmological constant problem (CCP), but can make it spectacularly worse. We show that this is the case for "interacting dark energy" models in which the masses of the dark matter states depend on the dark energy sector. If realized in nature, these models have far-reaching implications for proposed solutions to the CCP that require the number of vacua to exceed the fine-tuning of the vacuum energy density. We show that current estimates of the number of flux vacua in string theory, N_{vac}∼O(10^{272 000}), are far too small to realize certain simple models of interacting dark energy and solve the cosmological constant problem anthropically. These models admit distinctive observational signatures that can be targeted by future gamma-ray observatories, hence making it possible to observationally rule out the anthropic solution to the cosmological constant problem in theories with a finite number of vacua.

  15. Building Energy Audit Report, for Hickam AFB, HI

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

    Chvala, William D.; De La Rosa, Marcus I.; Brown, Daryl R.

    2010-09-30

    A building energy assessment was performed by a team of engineers from Pacific Northwest National Laboratory (PNNL) under contract to the Department of Energy/Federal Energy Management program (FEMP). The effort used the Facility Energy Decision System (FEDS) model to determine how energy is consumed at Hickam AFB, identify the most cost-effective energy retrofit measures, and calculate the potential energy and cost savings. This documents reports the results of that assessment.

  16. Building Energy Audit Report for Camp Smith, HI

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

    Chvala, William D.; De La Rosa, Marcus I.; Brown, Daryl R.

    2010-09-30

    A detailed energy assessment was performed by a team of engineers from Pacific Northwest National Laboratory (PNNL) under contract to the Department of Energy/Federal Energy Management program (FEMP). The effort used the Facility Energy Decision System (FEDS) model to determine how energy is consumed at Camp Smith, identify the most cost-effective energy retrofit measures, and calculate the potential energy and cost savings. This report documents the results of that assessment.

  17. EnergySolution's Clive Disposal Facility Operational Research Model - 13475

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

    Nissley, Paul; Berry, Joanne

    2013-07-01

    EnergySolutions owns and operates a licensed, commercial low-level radioactive waste disposal facility located in Clive, Utah. The Clive site receives low-level radioactive waste from various locations within the United States via bulk truck, containerised truck, enclosed truck, bulk rail-cars, rail boxcars, and rail inter-modals. Waste packages are unloaded, characterized, processed, and disposed of at the Clive site. Examples of low-level radioactive waste arriving at Clive include, but are not limited to, contaminated soil/debris, spent nuclear power plant components, and medical waste. Generators of low-level radioactive waste typically include nuclear power plants, hospitals, national laboratories, and various United States government operatedmore » waste sites. Over the past few years, poor economic conditions have significantly reduced the number of shipments to Clive. With less revenue coming in from processing shipments, Clive needed to keep its expenses down if it was going to maintain past levels of profitability. The Operational Research group of EnergySolutions were asked to develop a simulation model to help identify any improvement opportunities that would increase overall operating efficiency and reduce costs at the Clive Facility. The Clive operations research model simulates the receipt, movement, and processing requirements of shipments arriving at the facility. The model includes shipment schedules, processing times of various waste types, labor requirements, shift schedules, and site equipment availability. The Clive operations research model has been developed using the WITNESS{sup TM} process simulation software, which is developed by the Lanner Group. The major goals of this project were to: - identify processing bottlenecks that could reduce the turnaround time from shipment arrival to disposal; - evaluate the use (or idle time) of labor and equipment; - project future operational requirements under different forecasted scenarios. By

  18. Modeling global macroclimatic constraints on ectotherm energy budgets

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

    Grant, B.W.; Porter, W.P.

    1992-12-31

    The authors describe a mechanistic individual-based model of how global macroclimatic constraints affect the energy budgets of ectothermic animals. The model uses macroclimatic and biophysical characters of the habitat and organism and tenets of heat transfer theory to calculate hourly temperature availabilities over a year. Data on the temperature dependence of activity rate, metabolism, food consumption and food processing capacity are used to estimate the net rate of resource assimilation which is then integrated over time. They present a new test of this model in which they show that the predicted energy budget sizes for 11 populations of the lizardmore » Sceloporus undulates are in close agreement with observed results from previous field studies. This demonstrates that model tests rae feasible and the results are reasonable. Further, since the model represents an upper bound to the size of the energy budget, observed residual deviations form explicit predictions about the effects of environmental constraints on the bioenergetics of the study lizards within each site that may be tested by future field and laboratory studies. Three major new improvements to the modeling are discussed. They present a means to estimate microclimate thermal heterogeneity more realistically and include its effects on field rates of individual activity and food consumption. Second, they describe an improved model of digestive function involving batch processing of consumed food. Third, they show how optimality methods (specifically the methods of stochastic dynamic programming) may be included to model the fitness consequences of energy allocation decisions subject to food consumption and processing constraints which are predicted from the microclimate and physiological modeling.« less

  19. Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities

    NASA Astrophysics Data System (ADS)

    Baylin-Stern, Adam C.

    This paper demonstrates how an U.S. application of CIMS, a technologically explicit and behaviourally realistic energy-economy simulation model which includes macro-economic feedbacks, can be used to derive estimates of elasticity of substitution (ESUB) and autonomous energy efficiency index (AEEI) parameters. The ability of economies to reduce greenhouse gas emissions depends on the potential for households and industry to decrease overall energy usage, and move from higher to lower emissions fuels. Energy economists commonly refer to ESUB estimates to understand the degree of responsiveness of various sectors of an economy, and use estimates to inform computable general equilibrium models used to study climate policies. Using CIMS, I have generated a set of future, 'pseudo-data' based on a series of simulations in which I vary energy and capital input prices over a wide range. I then used this data set to estimate the parameters for transcendental logarithmic production functions using regression techniques. From the production function parameter estimates, I calculated an array of elasticity of substitution values between input pairs. Additionally, this paper demonstrates how CIMS can be used to calculate price-independent changes in energy-efficiency in the form of the AEEI, by comparing energy consumption between technologically frozen and 'business as usual' simulations. The paper concludes with some ideas for model and methodological improvement, and how these might figure into future work in the estimation of ESUBs from CIMS. Keywords: Elasticity of substitution; hybrid energy-economy model; translog; autonomous energy efficiency index; rebound effect; fuel switching.

  20. Near Shore Wave Modeling and applications to wave energy estimation

    NASA Astrophysics Data System (ADS)

    Zodiatis, G.; Galanis, G.; Hayes, D.; Nikolaidis, A.; Kalogeri, C.; Adam, A.; Kallos, G.; Georgiou, G.

    2012-04-01

    The estimation of the wave energy potential at the European coastline is receiving increased attention the last years as a result of the adaptation of novel policies in the energy market, the concernsfor global warming and the nuclear energy security problems. Within this framework, numerical wave modeling systems keep a primary role in the accurate description of wave climate and microclimate that is a prerequisite for any wave energy assessment study. In the present work two of the most popular wave models are used for the estimation of the wave parameters at the coastline of Cyprus: The latest parallel version of the wave model WAM (ECMWF version), which employs new parameterization of shallow water effects, and the SWAN model, classically used for near shore wave simulations. The results obtained from the wave models near shores are studied by an energy estimation point of view: The wave parameters that mainly affect the energy temporal and spatial distribution, that is the significant wave height and the mean wave period, are statistically analyzed,focusing onpossible different aspects captured by the two models. Moreover, the wave spectrum distribution prevailing in different areas are discussed contributing, in this way, to the wave energy assessmentin the area. This work is a part of two European projects focusing on the estimation of the wave energy distribution around Europe: The MARINA platform (http://www.marina-platform.info/ index.aspx) and the Ewave (http://www.oceanography.ucy.ac.cy/ewave/) projects.

  1. Modeling central metabolism and energy biosynthesis across microbial life

    DOE PAGES

    Edirisinghe, Janaka N.; Weisenhorn, Pamela; Conrad, Neal; ...

    2016-08-08

    Here, automatically generated bacterial metabolic models, and even some curated models, lack accuracy in predicting energy yields due to poor representation of key pathways in energy biosynthesis and the electron transport chain (ETC). Further compounding the problem, complex interlinking pathways in genome-scale metabolic models, and the need for extensive gapfilling to support complex biomass reactions, often results in predicting unrealistic yields or unrealistic physiological flux profiles. As a result, to overcome this challenge, we developed methods and tools to build high quality core metabolic models (CMM) representing accurate energy biosynthesis based on a well studied, phylogenetically diverse set of modelmore » organisms. We compare these models to explore the variability of core pathways across all microbial life, and by analyzing the ability of our core models to synthesize ATP and essential biomass precursors, we evaluate the extent to which the core metabolic pathways and functional ETCs are known for all microbes. 6,600 (80 %) of our models were found to have some type of aerobic ETC, whereas 5,100 (62 %) have an anaerobic ETC, and 1,279 (15 %) do not have any ETC. Using our manually curated ETC and energy biosynthesis pathways with no gapfilling at all, we predict accurate ATP yields for nearly 5586 (70 %) of the models under aerobic and anaerobic growth conditions. This study revealed gaps in our knowledge of the central pathways that result in 2,495 (30 %) CMMs being unable to produce ATP under any of the tested conditions. We then established a methodology for the systematic identification and correction of inconsistent annotations using core metabolic models coupled with phylogenetic analysis. In conclusion, we predict accurate energy yields based on our improved annotations in energy biosynthesis pathways and the implementation of diverse ETC reactions across the microbial tree of life. We highlighted missing annotations that were essential

  2. Modeling central metabolism and energy biosynthesis across microbial life

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

    Edirisinghe, Janaka N.; Weisenhorn, Pamela; Conrad, Neal

    Here, automatically generated bacterial metabolic models, and even some curated models, lack accuracy in predicting energy yields due to poor representation of key pathways in energy biosynthesis and the electron transport chain (ETC). Further compounding the problem, complex interlinking pathways in genome-scale metabolic models, and the need for extensive gapfilling to support complex biomass reactions, often results in predicting unrealistic yields or unrealistic physiological flux profiles. As a result, to overcome this challenge, we developed methods and tools to build high quality core metabolic models (CMM) representing accurate energy biosynthesis based on a well studied, phylogenetically diverse set of modelmore » organisms. We compare these models to explore the variability of core pathways across all microbial life, and by analyzing the ability of our core models to synthesize ATP and essential biomass precursors, we evaluate the extent to which the core metabolic pathways and functional ETCs are known for all microbes. 6,600 (80 %) of our models were found to have some type of aerobic ETC, whereas 5,100 (62 %) have an anaerobic ETC, and 1,279 (15 %) do not have any ETC. Using our manually curated ETC and energy biosynthesis pathways with no gapfilling at all, we predict accurate ATP yields for nearly 5586 (70 %) of the models under aerobic and anaerobic growth conditions. This study revealed gaps in our knowledge of the central pathways that result in 2,495 (30 %) CMMs being unable to produce ATP under any of the tested conditions. We then established a methodology for the systematic identification and correction of inconsistent annotations using core metabolic models coupled with phylogenetic analysis. In conclusion, we predict accurate energy yields based on our improved annotations in energy biosynthesis pathways and the implementation of diverse ETC reactions across the microbial tree of life. We highlighted missing annotations that were essential

  3. Optimizing Energy Consumption in Building Designs Using Building Information Model (BIM)

    NASA Astrophysics Data System (ADS)

    Egwunatum, Samuel; Joseph-Akwara, Esther; Akaigwe, Richard

    2016-09-01

    Given the ability of a Building Information Model (BIM) to serve as a multi-disciplinary data repository, this paper seeks to explore and exploit the sustainability value of Building Information Modelling/models in delivering buildings that require less energy for their operation, emit less CO2 and at the same time provide a comfortable living environment for their occupants. This objective was achieved by a critical and extensive review of the literature covering: (1) building energy consumption, (2) building energy performance and analysis, and (3) building information modeling and energy assessment. The literature cited in this paper showed that linking an energy analysis tool with a BIM model helped project design teams to predict and create optimized energy consumption. To validate this finding, an in-depth analysis was carried out on a completed BIM integrated construction project using the Arboleda Project in the Dominican Republic. The findings showed that the BIM-based energy analysis helped the design team achieve the world's first 103% positive energy building. From the research findings, the paper concludes that linking an energy analysis tool with a BIM model helps to expedite the energy analysis process, provide more detailed and accurate results as well as deliver energy-efficient buildings. The study further recommends that the adoption of a level 2 BIM and the integration of BIM in energy optimization analyse should be made compulsory for all projects irrespective of the method of procurement (government-funded or otherwise) or its size.

  4. 7 CFR Exhibit E to Subpart A of... - Voluntary National Model Building Codes

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 12 2014-01-01 2013-01-01 true Voluntary National Model Building Codes E Exhibit E to... Model Building Codes The following documents address the health and safety aspects of buildings and related structures and are voluntary national model building codes as defined in § 1924.4(h)(2) of this...

  5. ECO-ENERGY DEMONSTRATION MODEL: ANAEROBIC DIGESTION, ALGAE AND ENERGY PROSPERITY

    EPA Science Inventory

    For the project, we:

    1. Designed and constructed an ecological energy model system.
    2. Investigated and characterized locally abundant agricultural and domestic waste resources that can have significant environmental impacts (dairy manure, poultry m...

    3. Wind Vision: A New Era for Wind Power in the United States (Highlights); U.S. Department of Energy (DOE), NREL (National Renewable Energy Laboratory)

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

      None

      2015-03-01

      This is a four-part Wind Vision project, consisting of Wind Vision Highlights, Executive Summary, a Full Report, and Appendix. The U.S. Department of Energy (DOE) Wind Program, in close cooperation with the wind industry, led a comprehensive analysis to evaluate future pathways for the wind industry. The Wind Vision report updates and expands upon the DOE's 2008 report, 20% Wind Energy by 2030, and defines the societal, environmental, and economic benefits of wind power in a scenario with wind energy supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050.

    4. An analysis of energy-drink toxicity in the National Poison Data System.

      PubMed

      Seifert, Sara M; Seifert, Steven A; Schaechter, Judy L; Bronstein, Alvin C; Benson, Blaine E; Hershorin, Eugene R; Arheart, Kristopher L; Franco, Vivian I; Lipshultz, Steven E

      2013-08-01

      Small studies have associated energy drinks-beverages that typically contain high concentrations of caffeine and other stimulants-with serious adverse health events. To assess the incidence and outcomes of toxic exposures to caffeine-containing energy drinks, including caffeinated alcoholic energy drinks, and to evaluate the effect of regulatory actions and educational initiatives on the rates of energy drink exposures. We analyzed all unique cases of energy drink exposures reported to the US National Poison Data System (NPDS) between October 1, 2010 and September 30, 2011. We analyzed only exposures to caffeine-containing energy drinks consumed as a single product ingestion and categorized them as caffeine-containing non-alcoholic, alcoholic, or "unknown" for those with unknown formulations. Non-alcoholic energy drinks were further classified as those containing caffeine from a single source and those containing multiple stimulant additives, such as guarana or yerba mate. The data were analyzed for the demographics and outcomes of exposures (unknown data were not included in the denominator for percentages). The rates of change of energy drink-related calls to poison centers were analyzed before and after major regulatory events. Of 2.3 million calls to the NPDS, 4854 (0.2%) were energy drink-related. The 3192 (65.8%) cases involving energy drinks with unknown additives were excluded. Of 1480 non-alcoholic energy drink cases, 50.7% were children < 6 years old; 76.7% were unintentional; and 60.8% were males. The incidence of moderate to major adverse effects of energy drink-related toxicity was 15.2% and 39.3% for non-alcoholic and alcoholic energy drinks, respectively. Major adverse effects consisted of three cases of seizure, two of non-ventricular dysrhythmia, one ventricular dysrhythmia, and one tachypnea. Of the 182 caffeinated alcoholic energy drink cases, 68.2% were < 20 years old; 76.7% were referred to a health care facility. Educational and legislative

    5. Cosmological viability conditions for f(T) dark energy models

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

      Setare, M.R.; Mohammadipour, N., E-mail: rezakord@ipm.ir, E-mail: N.Mohammadipour@uok.ac.ir

      2012-11-01

      Recently f(T) modified teleparallel gravity where T is the torsion scalar has been proposed as the natural gravitational alternative for dark energy. We perform a detailed dynamical analysis of these models and find conditions for the cosmological viability of f(T) dark energy models as geometrical constraints on the derivatives of these models. We show that in the phase space exists two cosmologically viable trajectory which (i) The universe would start from an unstable radiation point, then pass a saddle standard matter point which is followed by accelerated expansion de sitter point. (ii) The universe starts from a saddle radiation epoch,more » then falls onto the stable matter era and the system can not evolve to the dark energy dominated epoch. Finally, for a number of f(T) dark energy models were proposed in the more literature, the viability conditions are investigated.« less

    6. Building energy modeling for green architecture and intelligent dashboard applications

      NASA Astrophysics Data System (ADS)

      DeBlois, Justin

      Buildings are responsible for 40% of the carbon emissions in the United States. Energy efficiency in this sector is key to reducing overall greenhouse gas emissions. This work studied the passive technique called the roof solar chimney for reducing the cooling load in homes architecturally. Three models of the chimney were created: a zonal building energy model, computational fluid dynamics model, and numerical analytic model. The study estimated the error introduced to the building energy model (BEM) through key assumptions, and then used a sensitivity analysis to examine the impact on the model outputs. The conclusion was that the error in the building energy model is small enough to use it for building simulation reliably. Further studies simulated the roof solar chimney in a whole building, integrated into one side of the roof. Comparisons were made between high and low efficiency constructions, and three ventilation strategies. The results showed that in four US climates, the roof solar chimney results in significant cooling load energy savings of up to 90%. After developing this new method for the small scale representation of a passive architecture technique in BEM, the study expanded the scope to address a fundamental issue in modeling - the implementation of the uncertainty from and improvement of occupant behavior. This is believed to be one of the weakest links in both accurate modeling and proper, energy efficient building operation. A calibrated model of the Mascaro Center for Sustainable Innovation's LEED Gold, 3,400 m2 building was created. Then algorithms were developed for integration to the building's dashboard application that show the occupant the energy savings for a variety of behaviors in real time. An approach using neural networks to act on real-time building automation system data was found to be the most accurate and efficient way to predict the current energy savings for each scenario. A stochastic study examined the impact of the

    7. Dietary Energy Density in the Australian Adult Population from National Nutrition Surveys 1995 to 2012.

      PubMed

      Grech, Amanda Lee; Rangan, Anna; Allman-Farinelli, Margaret

      2017-12-01

      It is hypothesized that the observed proliferation of energy-dense, nutrient-poor foods globally is an important contributing factor to the development of the obesity epidemic. However, evidence that the population's dietary energy density has increased is sparse. The World Cancer Research Fund recommends that dietary energy density be <1.25 kcal/g to prevent weight gain. The aim of this research was to determine whether the dietary energy density of the Australian population has changed between 1995 and 2012. A secondary analysis of two cross-sectional Australian national nutrition surveys from 1995 and 2011/2012 was conducted. Participants of the surveys included adults aged 18 years and older (1995 n=10,986 and 2011/2012 n=9,435) completing 24-hour dietary recalls, including a second recall for a subset of the population (10.4% in 1995 and 64.6% in 2011/2012). Outcome measures included the change in dietary energy density (calculated as energy/weight of food [kcal/g] for food only) between surveys. The National Cancer Institute method for "estimating ratios of two dietary components that are consumed nearly every day" was used to determine the usual distribution and the percentage of participants reporting energy density <1.25 kcal/g. The mean (standard deviation) dietary energy density was 1.59 (0.26) kcal/g and 1.64 (0.32) kcal/g (P<0.0001) in 1995 and 2011/2012, respectively, with 13% and 5% (P<0.0001) of the population meeting dietary energy-density recommendations. For those aged 70 years and older, the percentage with energy density <1.25 kcal/g decreased from 22% to 6% (P<0.0001) for men and from 33% to 11% (P<0.0001) for women in 1995 and 2011/2012, respectively. Among those aged 18 to 29 years, 1% of men in both surveys (P=0.8) and 4% of women in 1995 and 2% in 2011/2012 (P=0.01) reported energy density <1.25 kcal/g. Dietary energy density has increased between the two surveys and few people consumed low energy-dense diets in line with recommendations

    8. Dark-energy cosmological models in f(G) gravity

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

      Shamir, M. F., E-mail: farasat.shamir@nu.edu.pk

      We discuss dark-energy cosmological models in f(G) gravity. For this purpose, a locally rotationally symmetric Bianchi type I cosmological model is considered. First, exact solutions with a well-known form of the f(G) model are explored. One general solution is discussed using a power-law f(G) gravity model and physical quantities are calculated. In particular, Kasner’s universe is recovered and the corresponding f(G) gravity models are reported. Second, the energy conditions for the model under consideration are discussed using graphical analysis. It is concluded that solutions with f(G) = G{sup 5/6} support expansion of universe while those with f(G) = G{sup 1/2}more » do not favor the current expansion.« less

    9. Multi-factor energy price models and exotic derivatives pricing

      NASA Astrophysics Data System (ADS)

      Hikspoors, Samuel

      The high pace at which many of the world's energy markets have gradually been opened to competition have generated a significant amount of new financial activity. Both academicians and practitioners alike recently started to develop the tools of energy derivatives pricing/hedging as a quantitative topic of its own. The energy contract structures as well as their underlying asset properties set the energy risk management industry apart from its more standard equity and fixed income counterparts. This thesis naturally contributes to these broad market developments in participating to the advances of the mathematical tools aiming at a better theory of energy contingent claim pricing/hedging. We propose many realistic two-factor and three-factor models for spot and forward price processes that generalize some well known and standard modeling assumptions. We develop the associated pricing methodologies and propose stable calibration algorithms that motivate the application of the relevant modeling schemes.

    10. On the implementation of the spherical collapse model for dark energy models

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

      Pace, Francesco; Meyer, Sven; Bartelmann, Matthias, E-mail: francesco.pace@manchester.ac.uk, E-mail: sven.meyer@uni-heidelberg.de, E-mail: bartelmann@uni-heidelberg.de

      In this work we review the theory of the spherical collapse model and critically analyse the aspects of the numerical implementation of its fundamental equations. By extending a recent work by [1], we show how different aspects, such as the initial integration time, the definition of constant infinity and the criterion for the extrapolation method (how close the inverse of the overdensity has to be to zero at the collapse time) can lead to an erroneous estimation (a few per mill error which translates to a few percent in the mass function) of the key quantity in the spherical collapsemore » model: the linear critical overdensity δ{sub c}, which plays a crucial role for the mass function of halos. We provide a better recipe to adopt in designing a code suitable to a generic smooth dark energy model and we compare our numerical results with analytic predictions for the EdS and the ΛCDM models. We further discuss the evolution of δ{sub c} for selected classes of dark energy models as a general test of the robustness of our implementation. We finally outline which modifications need to be taken into account to extend the code to more general classes of models, such as clustering dark energy models and non-minimally coupled models.« less

    11. A Novel Cost Based Model for Energy Consumption in Cloud Computing

      PubMed Central

      Horri, A.; Dastghaibyfard, Gh.

      2015-01-01

      Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. PMID:25705716

    12. A novel cost based model for energy consumption in cloud computing.

      PubMed

      Horri, A; Dastghaibyfard, Gh

      2015-01-01

      Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment.

    13. Mapping alternative energy paths for taiwan to reach a sustainable future: An application of the leap model

      NASA Astrophysics Data System (ADS)

      Chen, Wei-Ming

      Energy is the backbone of modern life which is highly related to national security, economic growth, and environmental protection. For Taiwan, a region having limited conventional energy resources but constructing economies and societies with high energy intensity, energy became the throat of national security and development. This dissertation explores energy solutions for Taiwan by constructing a sustainable and comprehensive energy planning framework (SCENE) and by simulating alternative energy pathways on the horizon to 2030. The Long-range Energy Alternatives Planning system (LEAP) is used as a platform for the energy simulation. The study models three scenarios based on the E4 (energy -- environment -- economic -- equity) perspectives. Three scenarios refer to the business-as-usual scenario (BAU), the government target scenario (GOV), and the renewable and efficiency scenario (REEE). The simulation results indicate that the most promising scenario for Taiwan is the REEE scenario, which aims to save 48.7 million tonnes of oil equivalent (Mtoe) of final energy consumption. It avoids USD 11.1 billion on electricity expenditure in final demand sectors. In addition, the cost of the REEE path is the lowest among all scenarios before 2020 in the electricity generation sector. In terms of global warming potential (GWP), the REEE scenario could reduce 35 percent of the GWP in the demand sectors, the lowest greenhouse gases emission in relation to all other scenarios. Based on lowest energy consumption, competitive cost, and least harm to the environment, the REEE scenario is the best option to achieve intergenerational equity. This dissertation proposes that promoting energy efficiency and utilizing renewable energy is the best strategy for Taiwan. For efficiency improvement, great energy saving potentials do exist in Taiwan so that Taiwan needs more ambitious targets, policies, and implementation mechanisms for energy efficiency enhancement to slow down and decrease

    14. State regulation of nuclear power and national energy policy

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

      Moeller, J.W.

      1992-12-31

      In April 1983 and January 1984, the United States Supreme Court rendered two decisions that redefined the metes and bounds of federal preemption of commercial nuclear power plant regulation. In Pacific Gas & Electric Co. v. State Energy Resources Conservation and Development Commission (PG&E), the court decided that the Atomic Energy Act of 1954, as amended (the Act), did not preempt a California state law that established a moratorium on commercial nuclear power plant construction. In Silkwood v. Kerr-McGee Corporation, the Court also decided that the Act did not preempt a claim for damages under state tort law for radiologicalmore » injuries suffered in a nuclear fuel facility regulated by the United States Nuclear Regulatory Commission (NRC). The two decisions redefined the extent of federal preemption, under the Act and other federal law, of nuclear plant regulation as well as the extend of state regulation of nuclear plants. In the eight years since PG&E and Silkwood, numerous other developments have eroded further the breadth of federal preemption of commercial nuclear power plant regulation. This Article explores the developments, since PG&E and Silkwood, that have expanded further the scope of state and local regulation of commercial nuclear power plants. Specifically, the Article first identifies the extent of state and local participation in nuclear power regulation provided by the Act and other federal loan relevant to commercial nuclear power. Second, it discusses in detail the PG&E and Silkwood decisions. The Article also considers the impact of seven specific developments on the legislative implementation of a national energy policy that contemplates a role for nuclear power.« less

    15. Analysis of EnergyPlus for use in residential building energy optimization

      NASA Astrophysics Data System (ADS)

      Spencer, Justin S.

      This work explored the utility of EnergyPlus as a simulation engine for doing residential building energy optimization, with the objective of finding the modeling areas that require further development in EnergyPlus for residential optimization applications. This work was conducted primarily during 2006-2007, with publication occurring later in 2010. The assessments and recommendations apply to the simulation tool versions available in 2007. During this work, an EnergyPlus v2.0 (2007) input file generator was developed for use in BEopt 0.8.0.4 (2007). BEopt 0.8.0.4 is a residential Building Energy optimization program developed at the National Renewable Energy Laboratory in Golden, Colorado. Residential modeling capabilities of EnergyPlus v2.0 were scrutinized and tested. Modeling deficiencies were identified in a number of areas. These deficiencies were compared to deficiencies in the DOE2.2 V44E4(2007)/TRNSYS simulation engines. The highest priority gaps in EnergyPlus v2.0's residential modeling capability are in infiltration, duct leakage, and foundation modeling. Optimization results from DOE2.2 V44E4 and EnergyPlus v2.0 were analyzed to search for modeling differences that have a significant impact on optimization results. Optimal buildings at different energy savings levels were compared to look for biases. It was discovered that the EnergyPlus v2.0 optimizations consistently chose higher wall insulation levels than the DOE2.2 V44E4 optimizations. The points composing the optimal paths chosen by DOE2.2 V44E4 and EnergyPlus v2.0 were compared to look for points chosen by one optimization that were significantly different from the other optimal path. These outliers were compared to consensus optimal points to determine the simulation differences that cause disparities in the optimization results. The differences were primarily caused by modeling of window radiation exchange and HVAC autosizing.

    16. Going national with HERS and EEMs: Issues and impacts. The collected papers of the national collaborative

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

      None

      This collection of papers is a companion volume to A National Program for Energy-Efficient Mortgages and Home Energy Rating Systems: A Blueprint for Action (NREL/TP-261-4677). The Blueprint reports the findings and recommendations of the National Collaborative on Home Energy Rating Systems and Mortgage Incentives for Energy Efficiency about a voluntary national program linking energy-efficient mortgages and home energy rating systems. This volume provides technical documentation for A Blueprint for Action. It consists of 55 technical issue papers and 13 special papers prepared by the technical advisory committees and some members of the Collaborative Consensus Committee of the National Collaborative. Itmore » also contains the bibliography and the glossary written by the members and staff of the National Collaborative.« less

    17. Development of an energy storage tank model

      NASA Astrophysics Data System (ADS)

      Buckley, Robert Christopher

      A linearized, one-dimensional finite difference model employing an implicit finite difference method for energy storage tanks is developed, programmed with MATLAB, and demonstrated for different applications. A set of nodal energy equations is developed by considering the energy interactions on a small control volume. The general method of solving these equations is described as are other features of the simulation program. Two modeling applications are presented: the first using a hot water storage tank with a solar collector and an absorption chiller to cool a building in the summer, the second using a molten salt storage system with a solar collector and steam power plant to generate electricity. Recommendations for further study as well as all of the source code generated in the project are also provided.