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Sample records for rsf energy model

  1. Secretary's Achievement Award (RSF) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    and whole building design approach, the Research Support Facility project team delivered a highly energy efficient and user friendly facility that has received national acclaim. ...

  2. Research Support Facility - A Model of Super Efficiency (RSF) (Fact Sheet)

    SciTech Connect

    Not Available

    2010-08-01

    This fact sheet published by the National Renewable Energy Laboratory discusses the lab's newest building, the Research Support Facility (RSF). The RSF is a showcase for ultra-efficient workplaces. Various renewable energy and energy efficiency features have been employed so that the building achieves a Leadership in Energy and Environmental Design (LEED) Platinum rating from the U.S. Green Building Council.

  3. RSF Workshop Session I: Energy Goals and Features of the RSF

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    +1 Exemplary Performance Credit for EAc1 Baseline 132 kBtuSFyear Design 33 kBtuSFyear ... Power (kW) Time of Day ASHRAE 90.1 Baseline Lighting Power Installed Lighting Power Energy ...

  4. Research Support Facility - A Model of Super Efficiency (RSF...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... and cooling loads. 9. Energy efficient data center and workstations: A fully contained hot ... with evaporative boost when needed while capturing waste heat for use in the building. ...

  5. Research Support Facility (RSF): Leadership in Building Performance (Brochure) (Revised), U.S. Department of Energy (DOE), NREL (National Renewable Energy Laboratory)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Support Facility Leadership in Building Performance RSF RESEARCH SUPPORT FACILITY at the NATIONAL RENEWABLE ENERGY LABORATORY Net Zero Energy Building Imagine an office building so energy efficient that its occupants consume only the amount of energy generated by renewable power on the building site. The building, the Research Support Facility (RSF) occupied by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) employees, uses 50% less energy than if it were built to

  6. RSF Data Center Tour

    SciTech Connect

    Powers, Chuck

    2011-01-01

    The Data Center in the Research Support Facility on the campus of the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) marks a significant accomplishment in its ultra-efficiency. Data centers by nature are very energy intensive. The RSF Data Center was designed to use 80% less energy than NREL's old data center, which had been in use for the last 30 years. This tour takes you through the data center highlighting its energy saving techniques.

  7. NREL Research Support Facilities (RSF)

    Building Catalog

    Golden, CO NREL's Research Support Facilities building (RSF) will be a total of 218,000 sq. feet. It will have two parallel secured employee wings, one of which will be 4 stories and the other 3 stories. A connector building housing most of the public spaces will run perpendicular through both wings. The RSF will provide workspace for 742 employees. The RSF is designed to be a zero energy building through the use of innovative energy efficiency, daylighting, and renewable energy strategies, including photovoltaic solar electric systems to generate electricity. 05/18/2015 - 10:33

  8. NREL Research Support Facility (RSF) Documentary

    ScienceCinema

    None

    2016-07-12

    he ideas and innovations that define NREL are now shaping the next generation of commercial office buildings. DOE's Research Support Facility at NREL, will set a new benchmark for affordable, sustainable commercial design and construction. The unique form of the RSF is driven by energy-saving strategies, many researched and advanced at NREL.

  9. Research Support Facility (RSF): Leadership in Building Performance (Brochure)

    SciTech Connect

    Not Available

    2011-09-01

    This brochure/poster provides information on the features of the Research Support Facility including a detailed illustration of the facility with call outs of energy efficiency and renewable energy technologies. Imagine an office building so energy efficient that its occupants consume only the amount of energy generated by renewable power on the building site. The building, the Research Support Facility (RSF) occupied by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) employees, uses 50% less energy than if it were built to current commercial code and achieves the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED{reg_sign}) Platinum rating. With 19% of the primary energy in the U.S. consumed by commercial buildings, the RSF is changing the way commercial office buildings are designed and built.

  10. Research Support Facility (RSF): Leadership in Building Performance...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... The RSF data center is highly efficient with many unique features, including: * Hot aisle containment * Reuse of data\tcenter waste heat to preheat building ventilation * Hybrid ...

  11. Design-Build Process for the Research Support Facility (RSF) (Book)

    SciTech Connect

    Not Available

    2012-06-01

    An in-depth look at how the U.S. DOE and NREL used a performance-based design-build contract to build the Research Support Facility (RSF); one of the most energy efficient office buildings in the world.

  12. 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

    SciTech Connect

    Sheppy, M.; Beach, A.; Pless, S.

    2013-04-01

    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.

  13. RSF Workshop Session IV: Occupant Behavior

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Design Decisions and Occupant...

  14. RSF Workshop Session III: Cost Considerations

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Solar Collector 10.Thermal Labyrinth INTEGRATION Passive Design Reduced Energy Use Baseline Energy Use DAYLIGHT 60 FEET NATURAL VENTILATION TRANSPIRED SOLAR THERMAL LABYRINTH ...

  15. Geothermal Energy | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy (Redirected from Geothermal Power) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Geothermal Energy RSF GeothermalPowerStation.jpg Geothermal energy...

  16. The Design-Build Process for the Research Support Facility (RSF...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... to remove unwanted humid- ity from the building. Outdoor Air Heating Waste heat from the RSF's data center, combined with heat from the thermal mass in the basement labyrinth, ...

  17. Dendritic cells transduced with Rsf-1/HBXAP gene generate specific cytotoxic T lymphocytes against ovarian cancer in vitro

    SciTech Connect

    Sun, Li; Department of Obstetrics and Gynecology, Qilu Hospital, Shandong University, Jinan, Shandong ; Kong, Beihua; Sheng, Xiugui; Sheu, Jim Jinn-Chyuan; Shih, Ie-Ming

    2010-04-09

    Recently, some studies have indicated that Rsf-1/HBXAP plays a role in chromatin remodeling and transcriptional regulation that may contribute to tumorigenesis in ovarian cancer. The present study demonstrates that using dendritic cells (DCs) from human cord blood CD34{sup +} cells transduced with Rsf-1/HBXAP DNA plasmids by nucleofection generate specific cytotoxic T lymphocytes (CTL) against ovarian cancer in vitro. After transfection, DCs were analyzed for Rsf-1/HBXAP mRNA expression by RT-PCR and protein expression by Western blot. Then the DC phenotypes, T-cell stimulatory capacity, endocytic activity and migration capacity were explored by flow cytometry analysis, allogeneic mixed lymphocyte reaction, endocytosis and transwell chemotaxis assay, respectively. After transfection, Rsf-1/HBXAP expression was detected at mRNA and protein levels. Allogeneic T-cell proliferation induced by transfected DCs was obviously higher than non-transfected DCs, but the endocytosis capacity and migratory ability were not different. Rsf-1/HBXAP gene-transduced DCs could induce antigen-specific CTL and generate a very potent cytotoxicity to OVCAR3 cells. These data suggest that Rsf-1/HBXAP gene-transduced DCs may be a potential adjuvant immunotherapy for ovarian cancer in clinical applications.

  18. Reducing Plug and Process Loads for a Large Scale, Low Energy...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... should use, where applicable, economizers, evaporative cooling, and waste heat recovery. ... The RSF data center uses all these efficiency measures to meet the low energy goal. ...

  19. DOE/ NREL Build One of the World's Most Energy Efficient Office Spaces

    ScienceCinema

    None

    2016-07-12

    Technology — from sophisticated computer modeling to advanced windows that actually open — will help the newest building at the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) be one of the world's most energy efficient offices. Scheduled to open this summer, the 222,000 square-foot RSF will house more than 800 staff and an energy efficient information technology data center. Because 19 percent of the country's energy is used by commercial buildings, DOE plans to make this facility a showcase for energy efficiency. DOE hopes the design of the RSF will be replicated by the building industry and help reduce the nation's energy consumption by changing the way commercial buildings are designed and built.

  20. Sandia Energy Modeling

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ?p34831 http:energy.sandia.govwave-energy-device-modeling-developing-a-117-scaled-modelfeed 0 New Small Business Voucher Pilot Opens http:energy.sandia.gov...

  1. CAMPUS ENERGY MODEL

    Energy Science and Technology Software Center

    003655IBMPC00 Campus Energy Model for Control and Performance Validation https://github.com/NREL/CampusEnergyModeling/releases/tag/v0.2.1

  2. Campus Energy Modeling Platform

    Energy Science and Technology Software Center

    2014-09-19

    NREL's Campus Energy Modeling project provides a suite of simulation tools for integrated, data driven energy modeling of commercial buildings and campuses using Simulink. The tools enable development of fully interconnected models for commercial campus energy infrastructure, including electrical distribution systems, district heating and cooling, onsite generation (both conventional and renewable), building loads, energy storage, and control systems.

  3. Building Energy Simulation & Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Simulation & Modeling Building Energy Simulation & Modeling Lead Performer: Lawrence ... Development (CBERD) conducts energy efficiency research and development with a focus ...

  4. Building Energy Modeling Library

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute ... Project Overview Building Energy Modeling (BEM) Library * Define and develop a ...

  5. Building Energy Modeling Projects | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Emerging Technologies » Building Energy Modeling » Building Energy Modeling Projects Building Energy Modeling Projects View the Building Technologies Office's current portfolio of Building Energy Modeling projects. Core Projects AIA 2030 Commitment Portal Energy Modeling Community Resources EnergyPlus Modelica Buildings Library OpenStudio Radiance Test Procedures For Building Energy Simulation Tools Competitively Awarded Projects BENEFIT: A New Hybrid Approach to Energy Modeling BUILD:

  6. Energy Transition Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Transition Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Transition Model AgencyCompany Organization: Quintel Intelligence Sector: Energy Topics:...

  7. HOMER® Energy Modeling Software

    Energy Science and Technology Software Center

    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.

  8. New Offices, New Ways of Working, and Abundant Energy Savings

    Energy.gov [DOE]

    A few weeks ago, our entire communications office was lucky enough to be among the first to move into the new Research Support Facility (RSF) here at the National Renewable Energy Lab (NREL).

  9. About Building Energy Modeling | Department of Energy

    Energy.gov [DOE] (indexed site)

    Building energy modeling (BEM)-physics-based calculation of building energy consumption-is a multi-use tool for building energy efficiency. Established use cases include design of ...

  10. Energy Modeling Community Resources | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Commercial Buildings » Design & Decision Support Guides » Energy Modeling Community Resources Energy Modeling Community Resources In August 2013, RMI (Rocky Mountain Institute) published the "<a href="http://www.rmi.org/Knowledge-Center/Library/2013-17_BEMFOANDM">Building Energy Modeling Guide for Owners and Managers</a>." The guide "de-mystifies" energy modeling by plainly explaining its benefits and limitations and properly setting expectations.

  11. Global Energy Futures Model

    Energy Science and Technology Software Center

    2004-01-01

    The Global Energy Futures Model (GEFM) is a demand-based, gross domestic product (GDP)-driven, dynamic simulation tool that provides an integrated framework to model key aspects of energy, nuclear-materials storage and disposition, environmental effluents from fossil and non fossil energy and global nuclear-materials management. Based entirely on public source data, it links oil, natural gas, coal, nuclear and renewable energy dynamically to greenhouse-gas emissions and 13 other measures of environmental impact. It includes historical data frommore » 1990 to 2000, is benchmarked to the DOE/EIA/IEO 2002 [5] Reference Case for 2000 to 2020, and extrapolates energy demand through the year 2050. The GEFM is globally integrated, and breaks out five regions of the world: United States of America (USA), the Peoples Republic of China (China), the former Soviet Union (FSU), the Organization for Economic Cooperation and Development (OECD) nations excluding the USA (other industrialized countries), and the rest of the world (ROW) (essentially the developing world). The GEFM allows the user to examine a very wide range of what ir scenarios through 2050 and to view the potential effects across widely dispersed, but interrelated areas. The authors believe that this high-level learning tool will help to stimulate public policy debate on energy, environment, economic and national security issues.« less

  12. Building Energy Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Emerging Technologies » Building Energy Modeling Building Energy Modeling About the portfolio Building energy modeling (BEM)-physics-based calculation of building energy consumption-is a multi-use tool for building energy efficiency. Established use cases include design of new buildings and deep retrofits, development of whole-building energy efficiency codes and standards (e.g., ASHRAE 90.1) and performance-path compliance with those codes (e.g., ASHRAE 90.1 "Appendix G" Performance

  13. Sandia Energy - Reference Model Documents

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Documents Home Stationary Power Energy Conversion Efficiency Water Power Reference Model Project (RMP) Reference Model Documents Reference Model DocumentsTara Camacho-Lopez2015-05-...

  14. Sandia Energy - PV Modeling & Analysis

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    PV Modeling & Analysis Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Modeling & Analysis PV Modeling & AnalysisTara Camacho-Lopez2015-05-11T20:03...

  15. Building Energy Modeling (BEM) Overview

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Modeling (BEM) Overview 2014 Building Technologies Office Peer Review Amir Roth, Ph.D. amir.roth@ee.doe.gov BEM is a Fundamental Energy-Efficiency Technology BEM calculates ...

  16. Organizational Models Tribal Energy Development

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Organizational Models Tribal Energy Development Douglas C. MacCourt, Senior Policy Advisor United States Department of Energy, Office of Indian Energy National Tribal Webinar Series: Tribal Business Structures for Financing Projects Historical Paradigm * Energy facilities in Indian Country owned by non-tribal entities * Typical business model - Lease/royalty arrangement - Some exceptions, but very few * Tribal employment common, but management less common * Federal control over development of

  17. Energy Policy and Systems Analysis Presentation: Energy Modeling...

    Office of Environmental Management (EM)

    Policy and Systems Analysis Presentation: Energy Modeling 101 Energy Policy and Systems Analysis Presentation: Energy Modeling 101 This presentation covers the basics of power ...

  18. Energy Modeling Software

    Energy.gov [DOE]

    Information from energy simulation software is critical in the design of energy-efficient commercial buildings. The tools listed on this page are the product of Commercial Buildings Integration...

  19. Inventory of state energy models

    SciTech Connect

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  20. Model Building Energy Code

    Energy.gov [DOE]

    The Energy Efficiency Building Performance Standards (EEBPS) are statewide minimum requirements that all new construction and additions to existing buildings must satisfy. Exceptions include...

  1. Sandia Energy Modeling & Analysis

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Sandia Wins Funding for Two DOE-EERE Computer-Aided Battery-Safety R&D Projects http:energy.sandia.govsandia-wins-funding-for-two-doe-eere-computer-aided-battery-safety-rd-proje...

  2. Sandia Energy Modeling

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Sandia Wins Funding for Two DOE-EERE Computer-Aided Battery-Safety R&D Projects http:energy.sandia.govsandia-wins-funding-for-two-doe-eere-computer-aided-battery-safety-rd-proje...

  3. Autotune Building Energy Models

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    BTO Goals: supports the BTO overarching goal of reducing building energy use 50% by 2030 BTO strategic programs: Autotune is listed as a "key service" within the BTO Strategic BEM ...

  4. National Energy Modeling System (NEMS)

    DOE Data Explorer

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.

  5. Sandia Energy - Tutorial on PV System Modeling

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Tutorial on PV System Modeling Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Modeling & Analysis Tutorial on PV System Modeling Tutorial on PV...

  6. Regions in Energy Market Models

    SciTech Connect

    Short, W.

    2007-02-01

    This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  7. Regions in Energy Market Models

    SciTech Connect

    2009-01-18

    This report explores the different options for spatial resolution of an energy market model and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  8. Energy Efficient Equipment Product Model Listings | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    energy efficiency of different equipment and appliance models. Products are identified as ENERGY STAR qualified andor regulated in Canada under the Energy Efficiency Regulations....

  9. HOMER® Energy Modeling Software 2003

    Energy Science and Technology Software Center

    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.

  10. Energy Policy and Systems Analysis Presentation: Energy Modeling 101 |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Policy and Systems Analysis Presentation: Energy Modeling 101 Energy Policy and Systems Analysis Presentation: Energy Modeling 101 This presentation covers the basics of power sector capacity expansion modeling, and briefly touches on other types of modeling and analytical tools available to provide data on the electric power system, including energy efficiency. Energy Modeling 101 (963.35 KB) More Documents & Publications THE VALUE OF ECONOMIC DISPATCH A REPORT TO

  11. Building Energy Modeling (BEM) Program Overview

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Amir Roth, Ph.D. amir.roth@ee.doe.gov Building Energy Modeling (BEM) Program Overview http:energy.goveerebuildingsbuilding-energy-modeling 2 BEM: An Energy-Efficiency ...

  12. 100% DD Energy Model Update

    SciTech Connect

    None, None

    2011-06-30

    The Miami Science Museum energy model has been used during DD to test the building's potential for energy savings as measured by ASHRAE 90.1-2007 Appendix G. This standard compares the designed building's yearly energy cost with that of a code-compliant building. The building is currently on track show 20% or better improvement over the ASHRAE 90.1-2007 Appendix G baseline; this performance would ensure minimum compliance with both LEED 2.2 and current Florida Energy Code, which both reference a less strict version of ASHRAE 90.1. In addition to being an exercise in energy code compliance, the energy model has been used as a design tool to show the relative performance benefit of individual energy conservation measures (ECMs). These ECMs are areas where the design team has improved upon code-minimum design paths to improve the energy performance of the building. By adding ECMs one a time to a code-compliant baseline building, the current analysis identifies which ECMs are most effective in helping the building meet its energy performance goals.

  13. The Shockingly Short Payback of Energy Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    The Shockingly Short Payback of Energy Modeling The Shockingly Short Payback of Energy Modeling May 23, 2016 - 11:31am Addthis Architecture firm HOK calculated the payback of energy modeling—cost of modeling divided by modeled energy cost savings—for a number of their projects. The results? Modeling usually pays for itself in a month or two. Credit: HOK. Architecture firm HOK calculated the payback of energy modeling-cost of modeling divided by modeled energy cost savings-for a number

  14. Colorado: Energy Modeling Products Support Energy Efficiency...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Assistance (EDA) program. Through EDA, Xcel provides energy consulting services to construction projects to encourage efficient energy use. Xcel's new tool, the Energy Design...

  15. Modeling Solar Energy Technology Evolution breakout session ...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling Solar Energy Technology Evolution breakout session Modeling Solar Energy Technology Evolution breakout session This presentation summarizes the information given on the ...

  16. Renewable Energy Technologies Financial Model (RET Finance) ...

    OpenEI (Open Energy Information) [EERE & EIA]

    Financial Model (RET Finance) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy Technologies Financial Model (RET Finance) Focus Area: Renewable Energy...

  17. EERE Success Story-Colorado: Energy Modeling Products Support Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Efficiency Projects | Department of Energy Colorado: Energy Modeling Products Support Energy Efficiency Projects EERE Success Story-Colorado: Energy Modeling Products Support Energy Efficiency Projects May 1, 2014 - 11:04am Addthis Xcel Energy, a Minnesota-based utility that supplies electricity and natural gas to eight states, employed two EERE-developed products in developing a program management tool for its Energy Design Assistance (EDA) program. Through EDA, Xcel provides energy

  18. National Energy Modeling System (NEMS) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Modeling System (NEMS) AgencyCompany Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies...

  19. Webcast of the Renewable Energy Competency Model

    Energy.gov [DOE]

    The Department of Energy held a webcast titled ""Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce"" on Monday, October 22, 2012. The Renewable Energy...

  20. State Energy Program: Kentucky Implementation Model Resources

    Energy.gov [DOE]

    Below are resources associated with the U.S. Department of Energy's Weatherization and Intergovernmental Programs Office State Energy Program Kentucky Implementation Model.

  1. NEMS - National Energy Modeling System: An Overview

    Reports and 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.

  2. Accelerated Climate Modeling for Energy | Argonne Leadership...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Alan Scott and Mark Taylor, Sandia National Laboratories Accelerated Climate Modeling for ... The Accelerated Climate Modeling for Energy (ACME) project seeks to develop the simulation ...

  3. Threshold 21 Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Moderate Website: www.millennium-institute.orgintegratedplanningtoolsT21 Cost: Free Threshold 21 Model Screenshot References: Threshold 21 Model1 Related Tools Energy...

  4. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect

    Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

    2010-08-01

    The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

  5. Building Energy Modeling (BEM) Program Overview

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Amir Roth, Ph.D. amir.roth@ee.doe.gov Building Energy Modeling (BEM) Program Overview http://energy.gov/eere/buildings/building-energy-modeling/ 2 BEM: An Energy-Efficiency Technology BEM is physics calculation of energy use from description of assets & operations * Multiple uses in the energy-efficiency space "Integrative" design: minimize energy consumption under constraints, e.g., first cost * AIA 2030 Commitment-2013 (1,100 projects) performance over CBECS - Non-modeled: +29%,

  6. Coal Market Module of the National Energy Modeling System Model...

    Energy Information Administration (EIA) (indexed site)

    Coal Market Module of the National Energy Modeling System Model Documentation 2013 June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC ...

  7. NREL: Energy Analysis - Energy Forecasting and Modeling Staff

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Elizabeth Torres Clayton Barrows Dave Bielen Aaron Bloom Greg Brinkman Brian W Bush Stuart Cohen Wesley Cole Paul Denholm Nicholas DiOrio Aron Dobos Kelly Eurek Janine Freeman Bethany Frew Pieter Gagnon Elaine Hale

  8. Retrofit Energy Savings Estimation Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Desktop Application Website: btech.lbl.govtoolsresemresem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model1 Logo: Retrofit...

  9. National Energy Modeling System (United States) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontentnational-energy-modeling-system-unite Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible...

  10. Battery Life Predictive Model - Energy Innovation Portal

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Vehicles and Fuels Vehicles and Fuels Energy Storage Energy Storage Energy Analysis Energy Analysis Find More Like This Return to Search Battery Life Predictive Model National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary Batteries are one of the leading cost drivers of any electric vehicle project. Current practices require that batteries be oversized by design in order to meet the battery warrantee's end-of-life (EOL) power and energy requirements.

  11. NREL: Energy Analysis - Models and Tools

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Printable Version Models and Tools Use models and tools developed or supported by NREL to assess, analyze, and optimize renewable energy and energy efficiency technologies for your project. Many of these tools can be applied on a global, regional, local, or project basis. NREL models and tools include several designed for the consumer or energy professional. Technology and Performance Analysis Biomass Scenario Model (BSM) Determine which supply chain changes would have the greatest potential to

  12. Process modeling and industrial energy use

    SciTech Connect

    Howe, S O; Pilati, D A; Sparrow, F T

    1980-11-01

    How the process models developed at BNL are used to analyze industrial energy use is described and illustrated. Following a brief overview of the industry modeling program, the general methodology of process modeling is discussed. The discussion highlights the important concepts, contents, inputs, and outputs of a typical process model. A model of the US pulp and paper industry is then discussed as a specific application of process modeling methodology. Case study results from the pulp and paper model illustrate how process models can be used to analyze a variety of issues. Applications addressed with the case study results include projections of energy demand, conservation technology assessment, energy-related tax policies, and sensitivity analysis. A subsequent discussion of these results supports the conclusion that industry process models are versatile and powerful tools for energy end-use modeling and conservation analysis. Information on the current status of industry models at BNL is tabulated.

  13. CBERD: Building Energy Simulation and Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Simulation and Modeling CBERD: Building Energy Simulation and Modeling Figure 1: Screenshot of the alpha version of CBERD eDOT (early design optimization tool), an online tool that enables multi-parameter optimization. Source: LBNL. Figure 1: Screenshot of the alpha version of CBERD eDOT (early design optimization tool), an online tool that enables multi-parameter optimization. Source: LBNL. Figure 2: CBERD Model Predictive Control: Model identification and closed loop predictive control

  14. Advanced Financing Models Webinar | Department of Energy

    Energy.gov [DOE] (indexed site)

    11:00AM to 12:30PM MDT Get exposure to available financing models that can be used to make energy efficiency and renewable energy projects economically feasible using utility...

  15. Hybrid Energy System Modeling in Modelica

    SciTech Connect

    William R. Binder; Christiaan J. J. Paredis; Humberto E. Garcia

    2014-03-01

    In this paper, a Hybrid Energy System (HES) configuration is modeled in Modelica. Hybrid Energy Systems (HES) have as their defining characteristic the use of one or more energy inputs, combined with the potential for multiple energy outputs. Compared to traditional energy systems, HES provide additional operational flexibility so that high variability in both energy production and consumption levels can be absorbed more effectively. This is particularly important when including renewable energy sources, whose output levels are inherently variable, determined by nature. The specific HES configuration modeled in this paper include two energy inputs: a nuclear plant, and a series of wind turbines. In addition, the system produces two energy outputs: electricity and synthetic fuel. The models are verified through simulations of the individual components, and the system as a whole. The simulations are performed for a range of component sizes, operating conditions, and control schemes.

  16. Directory of Energy Information Administration models 1996

    SciTech Connect

    1996-07-01

    This directory revises and updates the Directory of Energy Information Administration Models 1995, DOE/EIA-0293(95), Energy Information Administration (EIA), U.S. Department of Energy, July 1995. Four models have been deleted in this directory as they are no longer being used: (1) Market Penetration Model for Ground-Water Heat Pump Systems (MPGWHP); (2) Market Penetration Model for Residential Rooftop PV Systems (MPRESPV-PC); (3) Market Penetration Model for Active and Passive Solar Technologies (MPSOLARPC); and (4) Revenue Requirements Modeling System (RRMS).

  17. System Advisor Model Training | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    System Advisor Model Training System Advisor Model Training The Office of Indian Energy hosted a two-day training for Indian tribes on how to use the System Advisor Model (SAM) June 7-8, 2016, at Northern Arizona University in Flagstaff, Arizona. Developed by DOE's National Renewable Energy Laboratory, SAM is a free software tool that Indian tribes can use to analyze the feasibility of renewable energy projects. This training walked participants through the various technologies that can be

  18. NUCLEAR ENERGY SYSTEM COST MODELING

    SciTech Connect

    Francesco Ganda; Brent Dixon

    2012-09-01

    The U.S. Department of Energy’s Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative “Island” approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this island’s used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability

  19. Accelerated Climate Modeling for Energy | Argonne Leadership...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Credit: Alan Scott and Mark Taylor, Sandia National Laboratories Accelerated Climate Modeling for Energy PI Name: Mark Taylor PI Email: mataylo@sandia.gov Institution: Sandia...

  20. EPA NONROAD Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Summary LAUNCH TOOL Name: EPA NONROAD Model AgencyCompany Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Transportation, Agriculture...

  1. About Energy Savings Performance Contracting Model Documents...

    Energy.gov [DOE] (indexed site)

    of the Energy Savings Performance Contracting (ESPC) Model Documents to be used when developing or updating procurement and contracting documents for ESPC projects and programs. ...

  2. CTG Sustainable Communities Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Communities Model AgencyCompany Organization: CTG Energetics Inc. Sector: Energy Focus Area: Buildings, Transportation Phase: Determine Baseline, Develop Goals Topics:...

  3. Property:Buildings/Models | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    It links to pages that use the form Buildings Publication. Pages using the property "BuildingsModels" Showing 2 pages using this property. G General Merchandise 50% Energy...

  4. Category:Building Models | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    category "Building Models" The following 12 pages are in this category, out of 12 total. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings General...

  5. Directory of Energy Information Administration Models 1994

    SciTech Connect

    Not Available

    1994-07-01

    This directory revises and updates the 1993 directory and includes 15 models of the National Energy Modeling System (NEMS). Three other new models in use by the Energy Information Administration (EIA) have also been included: the Motor Gasoline Market Model (MGMM), Distillate Market Model (DMM), and the Propane Market Model (PPMM). This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses and requirements. Sources for additional information are identified. Included in this directory are 37 EIA models active as of February 1, 1994.

  6. Staffing Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Staffing Model Staffing Model staffing_model_(v06)_---_2009-09-23.xls (2.61 MB) More Documents & Publications 2013-10-08 DOE G 413.3-19 staffing model v07 2016-09-10 DOE G 413.3-19 Staffing Model Template v10 DOE G 413.3-12 PDRI v02

  7. JEDI Models | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    development. U.S. Department of Energy. (January 2014). Potential Economic Impacts from Offshore Wind in the Great Lakes Region. To better understand the employment opportunities...

  8. Sandia Energy Computational Modeling & Simulation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    new-crew-database-receives-first-set-of-datafeed 0 Aerodynamic Wind-Turbine Blade Design for the National Rotor Testbed http:energy.sandia.govaerodynamic-wind-turbin...

  9. COMMUTER Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    computer model that estimates the travel and emissions impacts of transportation air quality programs focused on commuting. The model is particularly useful for programs...

  10. Regional Economic Models, Inc. (REMI) Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    TOOL Name: REMI AgencyCompany Organization: Regional Economic Models Inc. Sector: Energy Focus Area: Transportation Resource Type: Softwaremodeling tools User Interface:...

  11. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect

    Macumber, D.

    2012-10-01

    Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

  12. Modeling of battery energy storage in the National Energy Modeling System

    SciTech Connect

    Swaminathan, S.; Flynn, W.T.; Sen, R.K.

    1997-12-01

    The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy`s Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated.

  13. World Energy Projection System Plus Model Documentation: Natural Gas Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  14. World Energy Projection System Plus Model Documentation: Transportation Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  15. World Energy Projection System Plus Model Documentation: World Electricity Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  16. World Energy Projection System Plus Model Documentation: Greenhouse Gases Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  17. World Energy Projection System Plus Model Documentation: Industrial Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  18. World Energy Projection System Plus Model Documentation: Residential Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  19. World Energy Projection System Plus Model Documentation: Coal Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  20. World Energy Projection System Plus Model Documentation: District Heat Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  1. World Energy Projection System Plus Model Documentation: Commercial Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Commercial Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  2. World Energy Projection System Plus Model Documentation: Main Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  3. World Energy Projection System Plus Model Documentation: Refinery Model

    Reports and Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  4. World Energy Projection System Plus Model Documentation: Main Model

    Reports and Publications

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  5. World Energy Projection System Plus Model Documentation: Refinery Model

    Reports and Publications

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  6. Model Energy Savings Performance Contract, Schedules, and Exhibits...

    Energy Saver

    Model Energy Savings Performance Contract, Schedules, and Exhibits Model Energy Savings Performance Contract, Schedules, and Exhibits An Energy Savings Performance Contract (ESPC) ...

  7. Hawaii: A Model for Clean Energy Innovation

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Hawaii: A Model for Clean Energy Innovation Maurice Kaya, Project Director Hawaii Renewable Energy Development Venture, a Project of PICHTR STEAB Meeting, Berkeley, CA February 23, 2011 1 1 New technologies will be needed for Hawaii to reduce its dependence on oil Electricity Transportation 2 2 Volatility in the price of oil drives volatility in the local price of electricity Source: Hawaii Energy Efficiency and Conservation Programs 3 3 U.S. Department of Energy (DOE) & the State created

  8. Energy Modeling for the Artisan Food Center

    SciTech Connect

    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 of 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.

  9. stochastic energy production cost model simulator for electric...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    energy production cost model simulator for electric power systems - Sandia Energy Energy ... Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ...

  10. Sandia, NREL Release Wave Energy Converter Modeling and Simulation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    NREL Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim - Sandia Energy ... Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar ...

  11. NREL: Education Center - A Model of Energy-Efficient Design

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A Model of Energy-Efficient Design Photo of the Education Center trombe wall. The ... Passive solar energy features, energy-efficient lighting, an energy management system and ...

  12. Towards increased policy relevance in energy modeling

    SciTech Connect

    Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale

    2003-07-29

    Historically, most energy models were reasonably equipped to assess the impact of a subsidy or change in taxation, but are often insufficient to assess the impact of more innovative policy instruments. We evaluate the models used to assess future energy use, focusing on industrial energy use. We explore approaches to engineering-economic analysis that could help improve the realism and policy relevance of engineering-economic modeling frameworks. We also explore solutions to strengthen the policy usefulness of engineering-economic analysis that can be built from a framework of multi-disciplinary cooperation. We focus on the so-called ''engineering-economic'' (or ''bottom-up'') models, as they include the amount of detail that is commonly needed to model policy scenarios. We identify research priorities for the modeling framework, technology representation in models, policy evaluation and modeling of decision-making behavior.

  13. NREL: Energy Analysis - Models and Tools Archive

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Models and Tools Archive Through the years, NREL has developed and supported several models and tools to assess, analyze, and optimize renewable energy and energy efficiency technologies. Some of these have been transferred to the private market. This page lists tools we have supported, but that are no longer active. See current models and tools here. ADVISOR (ADvanced VehIcle SimulatOR) Simulate and analyze conventional, advanced, light, and heavy vehicles, including hybrid electric and fuel

  14. I Found My Energy Role Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    I Found My Energy Role Model I Found My Energy Role Model August 24, 2009 - 5:00am Addthis Allison Casey Senior Communicator, NREL Last week, while home on a rare weekday afternoon, I happened to catch an episode of Oprah. One of her guests on this particular day was the actor Ed Begley, Jr. The episode caught my attention because it wasn't focused on his acting, but on his quest to make his home and life as environmentally friendly and energy efficient as possible. I had heard of Mr. Begley's

  15. Wave-Energy/-Device Modeling: Developing A 1:17 Scaled Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... News & Events, Renewable Energy, Research & Capabilities, Systems Analysis, Water PowerWave-Energy-Device Modeling: Developing A 1:17 Scaled Model Wave-Energy-Device Modeling: ...

  16. The National Energy Modeling System: An overview

    SciTech Connect

    Not Available

    1994-05-01

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.

  17. NREL: Energy Analysis - BSM: Biomass Scenario Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    BSM - Biomass Scenario Model Energy Analysis The Biomass Scenario Model (BSM) is a unique, carefully validated, state-of-the-art, dynamic model of the domestic biofuels supply chain. BSM explicitly focuses on policy issues, their feasibility, and potential side effects. It integrates resource availability, physical/technological/economic constraints, behavior, and policy. BSM uses a system dynamics simulation (not optimization) to model dynamic interactions across the supply chain. The model

  18. LEDCOM Model | Department of Energy

    Energy Saver

    on your computer. LEDCOM Model (461.79 KB) More Documents & Publications UPF R&OM Management DHW Event Schedule Generator Building America DHW Event Schedule Generator

  19. Conceptual Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    and samples from wells, temperature and pressure data, and any other relevant data collected.1 Best Practices To develop an effective geothermal conceptual model, it...

  20. Analytical Modeling | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    & Analytical Models Website - University of Washington, Department of Economic Business and Geography Page Area Activity Start Date Activity End Date Reference Material...

  1. Model Documents for an Energy Savings Performance Contract Project...

    Energy Saver

    Model Documents for an Energy Savings Performance Contract Project Model Documents for an Energy Savings Performance Contract Project This page contains a model contract template ...

  2. Directory of energy information administration models 1995

    SciTech Connect

    1995-07-13

    This updated directory has been published annually; after this issue, it will be published only biennially. The Disruption Impact Simulator Model in use by EIA is included. Model descriptions have been updated according to revised documentation approved during the past year. This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included are 37 EIA models active as of February 1, 1995. The first group is the National Energy Modeling System (NEMS) models. The second group is all other EIA models that are not part of NEMS. Appendix A identifies major EIA modeling systems and the models within these systems. Appendix B is a summary of the `Annual Energy Outlook` Forecasting System.

  3. Directory of Energy Information Administration Models 1993

    SciTech Connect

    Not Available

    1993-07-06

    This directory contains descriptions about each model, including the title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included in this directory are 35 EIA models active as of May 1, 1993. Models that run on personal computers are identified by ``PC`` as part of the acronym. EIA is developing new models, a National Energy Modeling System (NEMS), and is making changes to existing models to include new technologies, environmental issues, conservation, and renewables, as well as extend forecast horizon. Other parts of the Department are involved in this modeling effort. A fully operational model is planned which will integrate completed segments of NEMS for its first official application--preparation of EIA`s Annual Energy Outlook 1994. Abstracts for the new models will be included in next year`s version of this directory.

  4. Energy Policy Socioeconomic Impact Model

    Energy Science and Technology Software Center

    1993-05-13

    Econometric model simulates consumer demand response to residential demand-side management programs and two-part tariff electricity rate designs and assesses their economic impact on various population groups.

  5. Model Wind Energy Facility Ordinance

    Office of Energy Efficiency and Renewable Energy (EERE)

    Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative...

  6. Wind Energy Modeling and Simulation | Wind | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Wind Energy Modeling and Simulation Wind turbines are unique devices that are typically anchored to the ground but operate in the atmosphere, which subjects them to a variety of ...

  7. About Energy Savings Performance Contracting Model Documents

    Energy.gov [DOE]

    This page provides more information about the creation of the Energy Savings Performance Contracting (ESPC) Model Documents to be used when developing or updating procurement and contracting documents for ESPC projects and programs.

  8. System Advisor Model (SAM) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    graphs, which can be exported for use in reports or for further analysis in other models. History SAM was first developed in 2006 by the National Renewable Energy Laboratory...

  9. World Energy Projection System model documentation

    SciTech Connect

    Hutzler, M.J.; Anderson, A.T.

    1997-09-01

    The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

  10. Systems Advisor Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Systems Advisor Model Systems Advisor Model Systems Advisor Model (SAM) makes performance predictions and cost of energy estimates for grid-connected power projects based on installation and operating costs and system design parameters that you specify as inputs to the model. Projects can be on the customer side of the utility meter - buying and selling electricity at retail rates - or on the utility side of the meter, selling electricity at a price negotiated through a power purchase agreement.

  11. Policy modeling for industrial energy use

    SciTech Connect

    Worrell, Ernst; Park, Hi-Chun; Lee, Sang-Gon; Jung, Yonghun; Kato, Hiroyuki; Ramesohl, Stephan; Boyd, Gale; Eichhammer, Wolfgang; Nyboer, John; Jaccard, Mark; Nordqvist, Joakim; Boyd, Christopher; Klee, Howard; Anglani, Norma; Biermans, Gijs

    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. In 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

  12. Reducing Plug and Process Loads for a Large Scale, Low Energy Office Building: NREL's Research Support Facility; Preprint

    SciTech Connect

    Lobato, C.; Pless, S.; Sheppy, M.; Torcellini, P.

    2011-02-01

    This paper documents the design and operational plug and process load energy efficiency measures needed to allow a large scale office building to reach ultra high efficiency building goals. The appendices of this document contain a wealth of documentation pertaining to plug and process load design in the RSF, including a list of equipment was selected for use.

  13. OSTIblog Articles in the Accelerated Climate Modeling for Energy Topic |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy Office of Scientific and Technical Information Accelerated Climate Modeling for Energy

  14. Transport Modeling Working Group | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Transport Modeling Working Group Transport Modeling Working Group The Transport Modeling Working Group meets twice per year to exchange information, create synergies, share experimental and computational results, and collaboratively develop methodologies for and understanding of transport phenomena in polymer electrolyte fuel cell stacks. Its members include principal investigators and supporting personnel from transport-related projects funded by the U.S. Department of Energy (DOE). Learn more

  15. Sandia Energy - Sandians as Guest Editors of Modeling & Simulation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    as Guest Editors of Modeling & Simulation in Materials Science and Engineering Focus Section Home Energy Transportation Energy News News & Events Research & Capabilities Energy...

  16. World Energy Projection System Plus Model Documentation: Commercial Model

    Reports and 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.

  17. Building Energy Modeling Program Overview - 2016 BTO Peer Review...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling Program Overview - 2016 BTO Peer Review Building Energy Modeling Program Overview - 2016 BTO Peer Review Presenter: Amir Roth, U.S. Department of Energy This presentation ...

  18. BTO Publishes Two Important Building Energy Modeling Documents...

    Energy Saver

    Publishes Two Important Building Energy Modeling Documents BTO Publishes Two Important Building Energy Modeling Documents February 10, 2016 - 3:41pm Addthis Selections from the ...

  19. Building Energy Modeling Library - 2013 BTO Peer Review | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Building Energy Modeling Library - 2013 BTO Peer Review Building Energy Modeling Library - 2013 BTO Peer Review Commercial Buildings Integration Project for the 2013 Building...

  20. Model Request for Qualifications to Pre-Qualify Energy Service...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Request for Qualifications to Pre-Qualify Energy Service Companies Model Request for Qualifications to Pre-Qualify Energy Service Companies This page contains a model Request for ...

  1. Department of Energy Land Ice Modeling Efforts (Conference) ...

    Office of Scientific and Technical Information (OSTI)

    Energy Land Ice Modeling Efforts Citation Details In-Document Search Title: Department of Energy Land Ice Modeling Efforts Authors: Price, Stephen F. Dr 1 + Show Author...

  2. Sandia Energy - Experiment for Improved Modeling of Trailing...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Experiment for Improved Modeling of Trailing-Edge Shedding Noise Home Renewable Energy Energy Water Power Partnership News News & Events Computational Modeling & Simulation...

  3. Building Energy Model Development for Retrofit Homes

    SciTech Connect

    Chasar, David; McIlvaine, Janet; Blanchard, Jeremy; Widder, Sarah H.; Baechler, Michael C.

    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 more 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 or

  4. Model Guidelines for Including Energy Efficiency and Renewable Energy Into State Energy Emergency Plans

    SciTech Connect

    1999-09-01

    These model guidelines can serve as a planning guide for state and local emergency planners. It is intended to supplement existing energy emergency management plans.

  5. Building Energy Modeling Overview - 2015 BTO Peer Review | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Overview - 2015 BTO Peer Review Building Energy Modeling Overview - 2015 BTO Peer Review Presenter: Amir Roth, U.S. Department of Energy View the Presentation Building Energy Modeling Overview - 2015 BTO Peer Review (654.06 KB) More Documents & Publications Building Energy Modeling Overview - 2014 BTO Peer Review Building Energy Modeling Subprogram Overview - 2016 BTO Peer Review Architecture firm Skidmore, Owings & Merrill (SOM) used EnergyPlus to design a new 380,000 square

  6. Business Models for Energy Access | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    EASE-Enabling Access to Sustainable Energy Sector: Energy Focus Area: Renewable Energy, Non-renewable Energy, Biomass, - Biomass Combustion, Grid Assessment and Integration...

  7. Control Limits for Building Energy End Use Based on Engineering Judgment, Frequency Analysis, and Quantile Regression

    SciTech Connect

    Henze, G. P.; Pless, S.; Petersen, A.; Long, N.; Scambos, A. T.

    2014-02-01

    Approaches are needed to continuously characterize the energy performance of commercial buildings to allow for (1) timely response to excess energy use by building operators; and (2) building occupants to develop energy awareness and to actively engage in reducing energy use. Energy information systems, often involving graphical dashboards, are gaining popularity in presenting energy performance metrics to occupants and operators in a (near) real-time fashion. Such an energy information system, called Building Agent, has been developed at NREL and incorporates a dashboard for public display. Each building is, by virtue of its purpose, location, and construction, unique. Thus, assessing building energy performance is possible only in a relative sense, as comparison of absolute energy use out of context is not meaningful. In some cases, performance can be judged relative to average performance of comparable buildings. However, in cases of high-performance building designs, such as NREL's Research Support Facility (RSF) discussed in this report, relative performance is meaningful only when compared to historical performance of the facility or to a theoretical maximum performance of the facility as estimated through detailed building energy modeling.

  8. State Energy Program Notice 14-2, Implementation Model Guidance |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 4-2, Implementation Model Guidance State Energy Program Notice 14-2, Implementation Model Guidance This State Energy Program (SEP) Notice 14-2 provides Implementation Model guidance for SEP competitive award recipients. SEP Program Notice 14-2 Implementation Model Guidance.pdf (3.89 MB) More Documents & Publications Clean Energy Finance Guide (Chapter 5: Basic Concepts for Clean Energy Unsecured Lending and Loan Loss Reserve Funds) Financing Energy Upgrades for K-12

  9. Development of an Integrated Global Energy Model

    SciTech Connect

    Krakowski, R.A.

    1999-07-08

    The primary objective of this research was to develop a forefront analysis tool for application to enhance understanding of long-term, global, nuclear-energy and nuclear-material futures. To this end, an existing economics-energy-environmental (E{sup 3}) model was adopted, modified, and elaborated to examine this problem in a multi-regional (13), long-term ({approximately}2,100) context. The E{sup 3} model so developed was applied to create a Los Alamos presence in this E{sup 3} area through ''niche analyses'' that provide input to the formulation of policies dealing with and shaping of nuclear-energy and nuclear-materials futures. Results from analyses using the E{sup 3} model have been presented at a variety of national and international conferences and workshops. Through use of the E{sup 3} model Los Alamos was afforded the opportunity to participate in a multi-national E{sup 3} study team that is examining a range of global, long-term nuclear issues under the auspices of the IAEA during the 1998-99 period . Finally, the E{sup 3} model developed under this LDRD project is being used as an important component in more recent Nuclear Material Management Systems (NMMS) project.

  10. Simple implementation of general dark energy models

    SciTech Connect

    Bloomfield, Jolyon K.; Pearson, Jonathan A. E-mail: jonathan.pearson@durham.ac.uk

    2014-03-01

    We present a formalism for the numerical implementation of general theories of dark energy, combining the computational simplicity of the equation of state for perturbations approach with the generality of the effective field theory approach. An effective fluid description is employed, based on a general action describing single-scalar field models. The formalism is developed from first principles, and constructed keeping the goal of a simple implementation into CAMB in mind. Benefits of this approach include its straightforward implementation, the generality of the underlying theory, the fact that the evolved variables are physical quantities, and that model-independent phenomenological descriptions may be straightforwardly investigated. We hope this formulation will provide a powerful tool for the comparison of theoretical models of dark energy with observational data.

  11. Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Model Jump to: navigation, search Tool Summary Name: Webinar-Terrestrial Solar Spectral Modeling for...

  12. Observing and modeling Earths energy flows

    SciTech Connect

    Stevens B.; Schwartz S.

    2012-05-11

    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{sup -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

  13. Energy Analysis Models, Tools and Software Technologies - Energy...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    About Search Categories (15) Advanced Materials Biomass and Biofuels Building Energy Efficiency Electricity Transmission Energy Analysis Marketing Summaries (119) Energy Storage ...

  14. End-use Breakdown: The Building Energy Modeling Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    End-use Breakdown: The Building Energy Modeling Blog End-use Breakdown: The Building Energy Modeling Blog RSS Welcome to the Building Technologies Office's Building Energy Modeling blog. October 5, 2016 Autodesk Insight360 allows architects to explore the energy impacts of different design choices as they design. Insight360 uses EnergyPlus to calculate heating and cooling loads and now provides the option of using EnergyPlus to evaluate annual energy impacts. Credit: Autodesk. Autodesk Upgrades

  15. Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce

    Energy.gov [DOE]

    The Department of Energy held a webcast titled "Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce" on Monday, October 22, 2012. The Renewable Energy Competency...

  16. America's Next Top Energy Model: Tools and Best Practices (101) |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy America's Next Top Energy Model: Tools and Best Practices (101) America's Next Top Energy Model: Tools and Best Practices (101) December 1, 2016 1:00PM to 2:30PM EST Please join this Better Buildings Residential Network peer exchange call to see which top energy models will be strutting their stuff down the runway

  17. BTO Seeks Comments on Draft Building Energy Modeling Roadmap | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Seeks Comments on Draft Building Energy Modeling Roadmap BTO Seeks Comments on Draft Building Energy Modeling Roadmap The Department of Energy's Building Technologies Office (BTO) seeks input from stakeholders on a draft Building Energy Modeling Roadmap. The draft Roadmap provides background and context, then outlines steps that BTO's contractor recommends to help increase the use of BEM tools for the design and operation of energy-efficient buildings. The draft Roadmap is based in

  18. Scripted Building Energy Modeling and Analysis: Preprint

    SciTech Connect

    Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.

    2012-08-01

    Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.

  19. End-use Breakdown: The Building Energy Modeling Blog

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling Blog en EnergyPlus Logo Debuts on Revit Toolbar http:energy.goveerebuildingsarticlesenergyplus-logo-debuts-revit-toolbar

  20. Applying the Energy Service Company Model to Advance Deployment...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Service Company Model to Advance Deployment of Fleet Natural Gas Vehicles and Fueling Infrastructure June 2014 ACKNOWLEDGEMENTS The Center for Climate and Energy Solutions ...

  1. Panel 2, Modeling the Financial and System Benefits of Energy...

    Energy.gov [DOE] (indexed site)

    Modeling the Financial and System Benefits of Energy Storage Applications in Distribution Systems Patrick Balducci, Senior Economist, Pacific NW National Laboratory Hydrogen Energy ...

  2. Policy Analysis Modeling System (PAMS) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    TOOL Name: Policy Analysis Modeling System AgencyCompany Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics:...

  3. Integrated Global System Modeling Framework | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    System Modeling Framework AgencyCompany Organization: MIT Joint Program on the Science and Policy of Global Change Sector: Climate, Energy Focus Area: Renewable Energy...

  4. Sandia Energy - DOE-Sponsored Reference Model Project Results...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    partnered effort to develop marine hydrokinetic (MHK) reference models (RMs) for wave energy converters and tidal, ocean, and river current energy converters. The RMP team...

  5. Renewable Energy Deployment in Colorado and the West: A Modeling...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Renewable Energy Deployment in Colorado and the West: A Modeling Sensitivity and GIS ... and Meghan Mooney National Renewable Energy Laboratory Technical Report NREL...

  6. Clean Energy Alliance to Expand NREL's Business Assistance Model...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Clean Energy Alliance to Expand NREL's Business Assistance Model October 25, 2006 The National Alliance of Clean Energy Business Incubators (NACEBI) begun in 2000 by U.S. ...

  7. National Energy Modeling System with Hydrogen Model (NEMS-H2...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling System with Hydrogen Model (NEMS-H2) (OnLocation, Inc. 1 ) Objectives Estimate the energy, economic, and environmental impacts of alternative energy policies and different ...

  8. Property:Buildings/ModelType | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Minimum Cost Max Tech PV Takeoff Cost Neutral 30% Energy Savings 50% Energy Savings 70% Energy Savings Other Pages using the property "BuildingsModelType" Showing 12 pages using...

  9. Mathematical modeling and computer simulation of processes in energy systems

    SciTech Connect

    Hanjalic, K.C. )

    1990-01-01

    This book is divided into the following chapters. Modeling techniques and tools (fundamental concepts of modeling); 2. Fluid flow, heat and mass transfer, chemical reactions, and combustion; 3. Processes in energy equipment and plant components (boilers, steam and gas turbines, IC engines, heat exchangers, pumps and compressors, nuclear reactors, steam generators and separators, energy transport equipment, energy convertors, etc.); 4. New thermal energy conversion technologies (MHD, coal gasification and liquefaction fluidized-bed combustion, pulse-combustors, multistage combustion, etc.); 5. Combined cycles and plants, cogeneration; 6. Dynamics of energy systems and their components; 7. Integrated approach to energy systems modeling, and 8. Application of modeling in energy expert systems.

  10. Distributed Energy Resources Market Diffusion Model

    SciTech Connect

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

    2006-06-16

    Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase

  11. Wave Energy Converter Extreme Conditions Modeling One Pager | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Wave Energy Converter Extreme Conditions Modeling One Pager Wave Energy Converter Extreme Conditions Modeling One Pager The wave energy converter (WEC) extreme conditions modeling (ECM) project provides developers with improved means of predicting WEC design loads. WEC developers will use the ECM tools to reduce uncertainty and risk in the WEC design process. The ECM project is a collaboration between the National Renewable Energy Laboratory, Sandia National Laboratory, and the U.S.

  12. Model Energy Service Company Pre-Qualification Contract | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Energy Service Company Pre-Qualification Contract Model Energy Service Company Pre-Qualification Contract This page provides model documents for developing a contract between an Energy Service Company (ESCO) and a state energy office (or other entity managing a performance contracting program). This model contract establishes requirements for each pre-qualified ESCO to provide performance contracting services for the program. Requirements include data collection and reporting,

  13. Building Energy Modeling Subprogram Overview - 2016 BTO Peer Review |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Subprogram Overview - 2016 BTO Peer Review Building Energy Modeling Subprogram Overview - 2016 BTO Peer Review Presenter: Amir Roth, U.S. Department of Energy This presentation at the 2016 Peer Review provided an overview of the Building Technologies Office's Building Energy Modeling Subprogram. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs. 2016 BTO Peer Review Presentation-Building Energy Modeling Subprogram

  14. Biomass Scenario Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    National Renewable Energy Laboratory Partner: Department of Energy (DOE) Office of the Biomass Program Sector: Energy Focus Area: Biomass Phase: Determine Baseline Topics:...

  15. Sandia Energy - Developing a Fast-Running Turbine Wake Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Developing a Fast-Running Turbine Wake Model Home Renewable Energy Energy Water Power News News & Events Developing a Fast-Running Turbine Wake Model Previous Next Developing a...

  16. BTOs Building Energy Modeling Program

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    BTO's Building Energy Modeling Program Amir Roth, Ph.D. amir.roth@ee.doe.gov BTO Peer Review 2016 2 BTO  ET/CBI  BEM BEM program unique within BTO  BEM is unique Unlike windows & LEDs, BTO is a direct player in BEM sector  we make software * We do this because: i) we can, ii) we always have, iii) transparency & impartiality matter * But we can't act like a company because we're trying to enable & nurture, not compete Our "constitution" * No end-user applications

  17. Solar Decathlon Design Models 2009 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Solar Decathlon Design Models 2009 Solar Decathlon Design Models 2009 Addthis Florida International 1 of 20 Florida International Image: Energy Department Image Team New Jersey 2...

  18. Biofuels Techno-Economic Models | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Techno-Economic Models Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biofuels Techno-Economic Models AgencyCompany Organization: National Renewable Energy Laboratory...

  19. Colorado: Energy Modeling Products Support Energy Efficiency Projects

    Energy.gov [DOE]

    Xcel Energy, a Minnesota-based utility that supplies electricity and natural gas to eight states, employed two EERE-developed products in developing a program management tool for its Energy Design Assistance (EDA) program. Through EDA, Xcel provides energy consulting services to construction projects to encourage efficient energy use.

  20. Renewable Fuels Module of the National Energy Modeling System: Model Documentation 2014

    Energy Information Administration (EIA) (indexed site)

    Renewable Fuels Module of the National Energy Modeling System: Model Documentation 2014 August 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Renewable Fuels Module of the National Energy Modeling System: Model Documentation 2014 ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's

  1. The Electricity Market Module of the National Energy Modeling System: Model Documentation 2014

    Energy Information Administration (EIA) (indexed site)

    The Electricity Market Module of the National Energy Modeling System: Model Documentation 2014 August 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Electricity Market Module of the National Energy Modeling System: Model Documentation 2014 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law,

  2. NREL: Technology Deployment - REopt Model Expands Into Energy Storage,

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Resilience, and the Energy-Water Nexus REopt Model Expands Into Energy Storage, Resilience, and the Energy-Water Nexus News Upgrade to REopt Tool Means a More Robust Resource NREL Used REopt to Screen 7,000 Federal Facilities for Their Renewable Energy Potential NREL Helps Federal Agencies Reach New Efficiency Targets How Solar PV Can Support Disaster Resiliency Publications Renewable Energy Optimization (REopt) NREL's Renewable Energy Optimization (REopt) Tool REopt: A Platform for Energy

  3. Technoeconomic Modeling of Battery Energy Storage in SAM

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Technoeconomic Modeling of Battery Energy Storage in SAM Nicholas DiOrio, Aron Dobos, Steven Janzou, Austin Nelson, and Blake Lundstrom National Renewable Energy Laboratory Technical Report NREL/TP-6A20-64641 September 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at

  4. Chameleon dark energy models with characteristic signatures

    SciTech Connect

    Gannouji, Radouane; Moraes, Bruno; Polarski, David; Mota, David F.; Winther, Hans A.; Tsujikawa, Shinji

    2010-12-15

    In chameleon dark energy models, local gravity constraints tend to rule out parameters in which observable cosmological signatures can be found. We study viable chameleon potentials consistent with a number of recent observational and experimental bounds. A novel chameleon field potential, motivated by f(R) gravity, is constructed where observable cosmological signatures are present both at the background evolution and in the growth rate of the perturbations. We study the evolution of matter density perturbations on low redshifts for this potential and show that the growth index today {gamma}{sub 0} can have significant dispersion on scales relevant for large scale structures. The values of {gamma}{sub 0} can be even smaller than 0.2 with large variations of {gamma} on very low redshifts for the model parameters constrained by local gravity tests. This gives a possibility to clearly distinguish these chameleon models from the {Lambda}-cold-dark-matter ({Lambda}CDM) model in future high-precision observations.

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

    SciTech Connect

    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 in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

  6. Model Energy Savings Performance Contract, Schedules, and Exhibits |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Model Energy Savings Performance Contract, Schedules, and Exhibits Model Energy Savings Performance Contract, Schedules, and Exhibits An Energy Savings Performance Contract (ESPC) defines a project and establishes how it will be implemented during construction and how it will be managed through the entire term of the agreement, addressing construction details, roles and responsibilities of the Energy Service Company (ESCO) and the institution, and guaranteed savings

  7. Manufacturing Plants Incorporate Energy Efficiency into Business Model |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Plants Incorporate Energy Efficiency into Business Model Manufacturing Plants Incorporate Energy Efficiency into Business Model April 27, 2011 - 12:15pm Addthis Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Lowell Sachs Lead Technology Partnership Specialist,

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

    SciTech Connect

    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 a 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.

  9. Wave Energy Converter Extreme Conditions Modeling

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    This work was supported by the DOE Offce of Energy Effciency and Renewable Energy, Wind and Water Power Technologies Offce. Computational fluid dynamics simulation of a WEC in ...

  10. System Advisor Model (SAM) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate...

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

    SciTech Connect

    1994-02-24

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). 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 design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report 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.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  12. Category:Modeling Techniques | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Analytical Modeling 1 pages C Conceptual Model 1 pages M Modeling-Computer Simulations 1 pages N Numerical Modeling 1 pages P Portfolio Risk...

  13. Methodology for Modeling Building Energy Performance across the Commercial Sector

    SciTech Connect

    Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

    2008-03-01

    This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

  14. Developing an Energy Performance Modeling Startup Kit

    SciTech Connect

    none,

    2012-10-01

    In 2011, the NAHB Research Center began assessing the needs and motivations of residential remodelers regarding energy performance remodeling. This report outlines: the current remodeling industry and the role of energy efficiency; gaps and barriers to adding energy efficiency into remodeling; and support needs of professional remodelers to increase sales and projects involving improving home energy efficiency.

  15. International Energy Module of the National Energy Modeling System...

    Gasoline and Diesel Fuel Update

    The NEMS International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of...

  16. International Energy Module of the National Energy Modeling System...

    Gasoline and Diesel Fuel Update

    (LFMM) International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of...

  17. Civil War Icon Becomes National Clean Energy Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model December 2, 2010 - 2:26pm Addthis Sunita Satyapal Director, Fuel Cell Technologies Office Nearly a century and a half after the first shots of the Civil War, Fort Sumter National Monument is poised to become a national model for clean energy. By adopting solar and hydrogen fuel cell technologies, the monument will generate clean, renewable power - establishing itself as an energy self-sufficient

  18. NREL: Energy Analysis - Regional Energy Deployment System (ReEDS) Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Energy Deployment System (ReEDS) Model Energy Analysis The Regional Energy Deployment System (ReEDS) helps the U.S. Department of Energy, utilities, public utility commissions, state/local regulators and others optimize and visualize the build-out of U.S. electricity generation and transmission systems. Learn more about ReEDS: Model Description Unique Value Documentation Publications Transformation of the Electric Sector (Compare to Baseline Projections) Printable Version Model

  19. Regional Short-Term Energy Model (RSTEM) Overview

    Reports and Publications

    2009-01-01

    The Regional Short-Term Energy Model (RSTEM) utilizes estimated econometric relationships for demand, inventories and prices to forecast energy market outcomes across key sectors and selected regions throughout the United States.

  20. Multiscale Modeling of Energy Storage Materials | Argonne Leadership...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Lithium ions are shown as spheres. Gregory A. Voth Multiscale Modeling of Energy Storage ... listed the transformation of the energy system of the country as a central goal to ...

  1. Building Energy Modeling Subprogram Overview - 2016 BTO Peer...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Building Energy Modeling Overview - 2014 BTO Peer Review BTO Seeks Comments on Draft ... "Building Energy ...

  2. The National Energy Modeling System: An overview 1998

    SciTech Connect

    1998-02-01

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.

  3. Portfolio Risk Modeling | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling...

  4. NETL - CARBEN Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Website: www.netl.doe.govenergy-analysesrefshelfresults.asp?ptypeModelsToo Cost: Free Language: English References: NETL - CARBEN Model1 Logo: NETL - CARBEN Model CarBen...

  5. Sandia Energy - Marine Hydrokinetics Technology: Reference Model...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Testing Capabilities FAQ Request for Testing Safety Technical Staff Energy Storage Nuclear Power & Engineering Grid Modernization Resilient Electric Infrastructures Military...

  6. Energy Department Announces Funding to Develop Aggregate Purchasing Models

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    | Department of Energy Develop Aggregate Purchasing Models Energy Department Announces Funding to Develop Aggregate Purchasing Models June 8, 2015 - 5:06pm Addthis The Energy Department today announced up to $2 million to support aggregate purchasing models for plug-in electric and other alternative fuel and advanced technology vehicles, subsystems, components, alternative fuels, and refueling/charging infrastructure. Aggregated purchasing is when one central organization coordinates

  7. New Model Examines Cumulative Impacts of Wind Energy Development on

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Sensitive Species | Department of Energy Model Examines Cumulative Impacts of Wind Energy Development on Sensitive Species New Model Examines Cumulative Impacts of Wind Energy Development on Sensitive Species October 3, 2011 - 12:18pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program R&D Newsletter. Photo of a bird. DOE's Argonne National Laboratory recently developed the prototype of a spatially explicit individual-based model for examining the

  8. Model Financing Solicitation for Energy Savings Performance Contracts |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Financing Solicitation for Energy Savings Performance Contracts Model Financing Solicitation for Energy Savings Performance Contracts Financial firms may be competitively selected to provide financing, where the solicitation can be handled by the end-user or by an Energy Service Company (ESCO) on behalf of an institution as part of an Energy Savings Performance Contract (ESPC). The financing agreement is a stand-alone document, separate from the ESPC, between the

  9. Commercial Demand Module of the National Energy Modeling System...

    Gasoline and Diesel Fuel Update

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  10. Commercial Sector Demand Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update

    the State Energy Data System (SEDS) historical commercial sector consumption, applying an additive correction term to ensure that simulated model results correspond to published...

  11. Coarse-grained Energy Modeling of Rollback/Recovery Mechanisms...

    Office of Scientific and Technical Information (OSTI)

    Title: Coarse-grained Energy Modeling of RollbackRecovery Mechanisms. Abstract not provided. Authors: Ferreira, Kurt Brian ; Ibtesham, Dewan ; DeBonis, David ; Arnold, Dorian ...

  12. Comparison of Software Models for Energy Savings from Cool Roofs...

    Office of Scientific and Technical Information (OSTI)

    Title: Comparison of Software Models for Energy Savings from Cool Roofs A web-based Roof ... This tool employs modern web technologies, usability design, and national average defaults ...

  13. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Software Verification and Validation (V&V) Plan Requirements Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements ...

  14. Comparison of software models for energy savings from cool roofs...

    Office of Scientific and Technical Information (OSTI)

    Comparison of software models for energy savings from cool roofs Citation Details In-Document Search This content will become publicly available on September 4, 2017 Title: ...

  15. Model Car Race, Building Competition Illuminate Solar Energy...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Students in the Solar Model Building Competition use a K'NEX Energy System Kit Model, which contains 1,082 pieces, two motors and two solar panels. With it, they must design and ...

  16. Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP): An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    SciTech Connect

    Blair, Nate; Jenkin, Thomas; Milford, James; Short, Walter; Sullivan, Patrick; Evans, David; Lieberman, Elliot; Goldstein, Gary; Wright, Evelyn; Jayaraman, Kamala R.; Venkatesh, Boddu; Kleiman, Gary; Namovicz, Christopher; Smith, Bob; Palmer, Karen; Wiser, Ryan; Wood, Frances

    2009-09-01

    Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.

  17. Building Energy Codes Program Logic Model

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    provide funding to help measure & improve code compliance The Building Energy Codes Program aims to "lock in" savings from energy codes by participating in code development processes and supporting local and state governments in the adoption and implementation of progressively more advanced building energy codes across the country. External Influences: DOE budget, Construction industry, Real estate market, State/local policies & budget Objectives Activities / Partners Outputs

  18. Reducing Data Center Loads for a Large-Scale, Low-Energy Office Building: NREL's Research Support Facility (Book)

    SciTech Connect

    Sheppy, M.; Lobato, C.; Van Geet, O.; Pless, S.; Donovan, K.; Powers, C.

    2011-12-01

    This publication detailing the design, implementation strategies, and continuous performance monitoring of NREL's Research Support Facility data center. Data centers are energy-intensive spaces that facilitate the transmission, receipt, processing, and storage of digital data. These spaces require redundancies in power and storage, as well as infrastructure, to cool computing equipment and manage the resulting waste heat (Tschudi, Xu, Sartor, and Stein, 2003). Data center spaces can consume more than 100 times the energy of standard office spaces (VanGeet 2011). The U.S. Environmental Protection Agency (EPA) reported that data centers used 61 billion kilowatt-hours (kWh) in 2006, which was 1.5% of the total electricity consumption in the U.S. (U.S. EPA, 2007). Worldwide, data centers now consume more energy annually than Sweden (New York Times, 2009). Given their high energy consumption and conventional operation practices, there is a potential for huge energy savings in data centers. The National Renewable Energy Laboratory (NREL) is world renowned for its commitment to green building construction. In June 2010, the laboratory finished construction of a 220,000-square-foot (ft{sup 2}), LEED Platinum, Research Support Facility (RSF), which included a 1,900-ft{sup 2} data center. The RSF will expand to 360,000 ft{sup 2} with the opening of an additional wing December, 2011. The project's request for proposals (RFP) set a whole-building demand-side energy use requirement of a nominal 35 kBtu/ft{sup 2} per year. On-site renewable energy generation will offset the annual energy consumption. To support the RSF's energy goals, NREL's new data center was designed to minimize its energy footprint without compromising service quality. Several implementation challenges emerged during the design, construction, and first 11 months of operation of the RSF data center. This document highlights these challenges and describes in detail how NREL successfully overcame them. The IT

  19. Generation and Transmission Maximization Model | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    its limited energy and transmission resources, but also firm contracts, independent power producer (IPP) agreements, and bulk power transaction opportunities on the spot...

  20. Building Energy Modeling 0017-1505

    Energy Saver

    user confidence" Project II: ASHRAE Standard 140 Mainstays of BTO's program ... * EnergyPlus since 1997 (DOE-2 prior to that) * ASHRAE Standard 140 since 1989 (1 st ...

  1. Modeling and Simulation for Nuclear Reactors Hub | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling and Simulation for Nuclear Reactors Hub Modeling and Simulation for Nuclear Reactors Hub August 1, 2010 - 4:20pm Addthis Scientists and engineers are working to help the nuclear industry make reactors more efficient through computer modeling and simulation. Scientists and engineers are working to help the nuclear industry make reactors more efficient through computer modeling and simulation. The Department's Energy Innovation Hubs are helping to advance promising areas of energy science

  2. IV. LMI Model Provisions for Shared Renewable Energy Programs

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    www.irecusa.org | LMI Guidelines | 35 IV. LMI Model Provisions for Shared Renewable Energy Programs As indicated at the outset, these LMI Guidelines and accompanying LMI Model Provisions are intended to function in tandem with IREC's Model Rules for Shared Renewable Energy Programs. For policymakers, regulators and other entities using and refining these LMI Model Provisions, IREC emphasizes that coordination with customer advocates, especially LMI customer advocates, environmental and

  3. NREL: Energy Analysis - Jobs and Economic Development Impact (JEDI) Models

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    JEDI Jobs and Economic Development Impact Models Energy Analysis Printable Version JEDI Fact Sheet The cover of JEDI: Jobs and Economic Development Impacts Model factsheet. PDF 563 KB 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 and state levels. First developed by NREL's WINDExchange program to model wind energy impacts, JEDI has been expanded to

  4. IDRISI Land Change Modeler | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    IDRISI Land Change Modeler Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IDRISI Land Change Modeler AgencyCompany Organization: Clark Labs Sector: Land Focus Area:...

  5. Regional Dynamics Model (REDYN) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    use the REDYN model to estimate the effects of actions and policies on people and the economy. The REDYN model powers the unique Regional Dynamics Economic Service, an...

  6. MAPSS Vegetation Modeling | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    mdrmapss MAPSS Vegetation Modeling Screenshot References: MAPSS1 Applications "A landscape- to global-scale vegetation distribution model that was developed to simulate the...

  7. Data and Modeling Techniques | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    and then quantitative models of individual reservoirs. The constraint on individual models is improved as the number of independent data types and sets increases. Other...

  8. ICCT Roadmap Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    of Use: Moderate Website: www.theicct.orgglobal-transportation-roadmap-model Cost: Free Related Tools Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) Threshold 21 Model...

  9. Gold Standard Program Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Standard Program Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Gold Standard Program Model AgencyCompany Organization: The Gold Standard Foundation Sector:...

  10. Model documentation report: Industrial sector demand module of the national energy modeling system

    SciTech Connect

    1998-01-01

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model 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 model. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  11. Building Energy Modeling Library - 2013 BTO Peer Review | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Modeling Library - 2013 BTO Peer Review Building Energy Modeling Library - 2013 BTO Peer Review Commercial Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review commlbldgs03_franconi_040213.pdf (793.6 KB) More Documents & Publications Technology Performance Exchange - 2013 BTO Peer Review Whole Building Performance-Based Procurement Training Autotune - 2013

  12. Steam System Modeler | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Technical Assistance » Steam System Modeler Steam System Modeler April 17, 2014 - 11:34am Addthis There is often flexibility in the operational conditions and requirements of any steam system. In order to optimize performance, the impacts of potential adjustments need to be understood individually and collectively. The Steam System Modeler allows you to create up to a 3-pressure-header basic model of your current steam system. A second model can then be created by adjusting a series of

  13. MHK Projects/Wave Star Energy 1 10 Scale Model Test | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Star Energy 1 10 Scale Model Test < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... "minzoom":false,"mappingservice":"googlemaps3","...

  14. Residential Demand Module of the National Energy Modeling System: Model Documentation 2014

    Energy Information Administration (EIA) (indexed site)

    Residential Demand Module of the National Energy Modeling System: Model Documentation 2014 August 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | NEMS Residential Demand Module Documentation Report 2014 ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts

  15. Transportation and Vehicle Energy Modeling | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation and Vehicle Energy Modeling Transportation and Vehicle Energy Modeling For the past 15 years, Argonne has been at the forefront of research in energy-efficient transportation. In recent years, the vehicle technologies have become increasingly complex with the introduction of new powertrain configurations (such as electrified vehicles), new component technologies (such as advanced transmissions and engines) and control strategies (such eco-routing). In addition, with increased

  16. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program Plan |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Program Plan Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program Plan The NEAMS program plan includes information on the program vision, objective, scope, schedule and cost, management, development team and collaborations. NEAMS Executive Program Plan.pdf (1.2 MB) More Documents & Publications NEAMS Quarterly Report April-June 2013 Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements

  17. Structure formation in inhomogeneous Early Dark Energy models

    SciTech Connect

    Batista, R.C.; Pace, F. E-mail: francesco.pace@port.ac.uk

    2013-06-01

    We study the impact of Early Dark Energy fluctuations in the linear and non-linear regimes of structure formation. In these models the energy density of dark energy is non-negligible at high redshifts and the fluctuations in the dark energy component can have the same order of magnitude of dark matter fluctuations. Since two basic approximations usually taken in the standard scenario of quintessence models, that both dark energy density during the matter dominated period and dark energy fluctuations on small scales are negligible, are not valid in such models, we first study approximate analytical solutions for dark matter and dark energy perturbations in the linear regime. This study is helpful to find consistent initial conditions for the system of equations and to analytically understand the effects of Early Dark Energy and its fluctuations, which are also verified numerically. In the linear regime we compute the matter growth and variation of the gravitational potential associated with the Integrated Sachs-Wolf effect, showing that these observables present important modifications due to Early Dark Energy fluctuations, though making them more similar to the ΛCDM model. We also make use of the Spherical Collapse model to study the influence of Early Dark Energy fluctuations in the nonlinear regime of structure formation, especially on δ{sub c} parameter, and their contribution to the halo mass, which we show can be of the order of 10%. We finally compute how the number density of halos is modified in comparison to the ΛCDM model and address the problem of how to correct the mass function in order to take into account the contribution of clustered dark energy. We conclude that the inhomogeneous Early Dark Energy models are more similar to the ΛCDM model than its homogeneous counterparts.

  18. Developing an Energy Performance Modeling Startup Kit

    SciTech Connect

    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 focus 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.

  19. Annual Energy Outlook 2015 Modeling updates in the Transportation sector

    Energy Information Administration (EIA) (indexed site)

    For AEO2015 Working Group July 30, 2014 | Washington, DC By Nicholas Chase, Trisha Hutchins, John Maples Office of Energy Consumption and Efficiency Analysis Modeling updates in the transportation sector Data updates 2 * Update historical fuel consumption data to latest state energy data (2011), annual national data from Monthly Energy Review (2012), and most recent Short-Term Energy Outlook * Update historical light-duty vehicle attribute data through 2013 (pending) * Update historical

  20. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  1. General Equilibrium Model for Economy - Energy - Environment...

    OpenEI (Open Energy Information) [EERE & EIA]

    and non-energy related emissions of carbon dioxide (CO2), other GHG such as methane (CH4), nitrous oxide (N20) sulfur hexafluoride (SF6), hydrofluorocarbon (HFC), and...

  2. Model Ordinance for Renewable Energy Projects

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Oregon Department of Energy issued guidance to local governments to address wind, solar, geothermal, biomass, and co-generation project planning needs at the city and county level in July 2005...

  3. Energy Infrastructure Modeling and Analysis (EIMA) | Department...

    Energy.gov [DOE] (indexed site)

    causes, have demonstrated a need for real-time status of the electric grid and energy ... Through its visualization tools and analysis, OE is able to provide real-time assessments ...

  4. Sandia Funded to Model Power Pods for Utility-Scale Wave-Energy...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Funded to Model Power Pods for Utility-Scale Wave-Energy Converter - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & ...

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

    SciTech Connect

    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. 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.

  6. Sandia Energy - PV Reliability & Performance Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    15-06-01T20:13:00+00:00 This Web Demo model is a simplified "player" version of the Photovoltaic Reliability Performance Model (PV-RPM) currently in development at Sandia National...

  7. Biotrans: Cost Optimization Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontentbiotrans-cost-optimization-model,http Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration &...

  8. Mixed Solvent Electrolyte Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Mixed Solvent Electrolyte Model Mixed Solvent Electrolyte Model Software Tool to Predict Solubility of Solids and Other Thermophysical Properties With assistance from AMO, OLI Systems, Inc., developed the mixed-solvent electrolyte model, a comprehensive physical property package that can predict the properties of electrolyte systems ranging from dilute solutions to fused salts in water, nonaqueous, or mixed solvents. The model accurately predicts the solubility of solids in complex

  9. Advanced Modeling & Simulation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation ADVANCING THE STATE OF THE ART Innovation advances science. Historically, innovation resulted almost exclusively from fundamental theories combined with observation and experimentation over time. With advancements in engineering, computing power and visualization tools, scientists from all disciplines are gaining insights into physical systems in ways not possible with traditional approaches

  10. Model Cooperative Agreement | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Model Cooperative Agreement Model Cooperative Agreement One of the required forms for individuals applying for or receiving EERE funding. Model Cooperative Agreement (3.08 MB) More Documents & Publications Quarterly and Annual Reports Company Template (Expenditure-Based) Recipient's Guide to Award Negotiations with EERE

  11. NREL's Building Component Library for Use with Energy Models

    DOE Data Explorer

    The Building Component Library (BCL) is the U.S. Department of Energys comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. The BCL currently contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

  12. NREL: Energy Storage - Energy Storage Modeling and Simulation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Modeling and Simulation Image showing a series of battery pack components next to a thermal image of a full battery system. Knowledge of the interplay of multi-physics at varied scales is imperative to successful battery development. Illustrations of increasing domains of a battery, from particle level (represented by two round shapes abutting one another), to electrode level (represented by a layered rectangular shape), to a cylindrical cell (represented by a cylindrical shape cut away to

  13. BTO Publishes Two Important Building Energy Modeling Documents | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Publishes Two Important Building Energy Modeling Documents BTO Publishes Two Important Building Energy Modeling Documents February 10, 2016 - 3:41pm Addthis Selections from the front page of the BEM R&D roadmap draft and the recommended initiatives table. Image credit: Navigant Consulting. Selections from the front page of the BEM R&D roadmap draft and the recommended initiatives table. Image credit: Navigant Consulting. Amir Roth, Ph.D. Amir Roth, Ph.D. Building Energy

  14. Modeling-Computer Simulations | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    the risk of inaccurate predictions.1 Potential Pitfalls Uncertainties in initial reservoir conditions and other model inputs can cause inaccuracies in simulations, which...

  15. Photovoltaic Theory and Modeling - Energy Innovation Portal

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Photovoltaic Theory and Modeling Los Alamos National Laboratory Contact LANL About This ... necessary to make electricity from photovoltaic (PV) technologies cost-competitive ...

  16. Annual Energy Outlook 2014 Modeling Updates

    Annual Energy Outlook

    cohort, update modeling parameters, employment and VMT - E85 demand - Battery electric vehicle cost, efficiency, and availability * Heavy-duty vehicle, rail, marine - ...

  17. Model Arbitration Provision | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Model Arbitration Provision Model Arbitration Provision The attached "GC Guidance: Model Arbitration Provision" is issued for use by Contracting Officers for M&O contracts as needed. PF2011-11 Model Arbitration Provision (32.3 KB) PF2011-11a.pdf (94.38 KB) More Documents & Publications Microsoft Word - Arbitration Guidance for M&amp;O Contractors.docx DOE General Counsel Issues Arbitration Guidance for M&O Contractors Arbitration Guidance for Management & Operating

  18. Wave Energy Converter Extreme Conditions Modeling Workshop |...

    OpenEI (Open Energy Information) [EERE & EIA]

    process. The WEC industry has adopted extreme conditions design, modeling, and analysis techniques developed for offshore oil & gas and naval architecture applications. While...

  19. Technology Assessment: NREL Provides Know-How for Highly Energy-Efficient Data Centers (Fact Sheet)

    SciTech Connect

    Not Available

    2012-05-01

    NREL leads the effort to change how energy is used worldwide by helping identify and eliminate barriers to energy efficiency and clean energy technology deployment. The laboratory takes a portfolio approach that explores the full range of technology options for developing and implementing innovative energy performance solutions. The Research Support Facility (RSF) data center is a prime example of NREL's capabilities and expertise in energy efficiency. But, more important, its features can be replicated. NREL provides custom technical assistance and training for improved data center performance to help our customers realize cost savings.

  20. A Petri Net model for distributed energy system

    SciTech Connect

    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 the model has allowed the analysis of how close the behavior of the model is to the usage of the real smart grid.

  1. Petroleum Market Model of the National Energy Modeling System

    Gasoline and Diesel Fuel Update

    Expansion) If it is a reporting iteration, the Short Term Energy Outlook (STEO) benchmarking switch is on, and it is NEMS year 13 (2002); then the PMM LP is solved using input...

  2. Building Energy Modeling Sub-Program Logic Model

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... Reduce EUI in all bldgs. 30% by 2030 By 2020, increase use of advanced energy simulations to: -50% of gross sq. ft. in new bldgs. and deep retrofits achieving 20% EUI reduction -2% ...

  3. Campus Energy Model for Control and Performance Validation

    Energy Science and Technology Software Center

    2014-09-19

    The core of the modeling platform is an extensible block library for the MATLAB/Simulink software suite. The platform enables true co-simulation (interaction at each simulation time step) with NREL's state-of-the-art modeling tools and other energy modeling software.

  4. Availability of the National Energy Modeling System (NEMS) Archive

    Gasoline and Diesel Fuel Update

    Availability of the National Energy Modeling System (NEMS) Archive 1 May 2016 Availability of the National Energy Modeling System (NEMS) Archive NEMS has been developed primarily for use by the modelers at the Energy Information Administration (EIA) who understand its structure and programming. As a result, NEMS is only used by a few organizations outside of the EIA. Most people who have requested NEMS in the past have found out that it was too difficult or rigid to use. For example, it is not

  5. A New Model to Simulate Energy Performance of VRF Systems

    SciTech Connect

    Hong, Tianzhen; Pang, Xiufeng; Schetrit, Oren; Wang, Liping; Kasahara, Shinichi; Yura, Yoshinori; Hinokuma, Ryohei

    2014-03-30

    This paper presents a new model to simulate energy performance of variable refrigerant flow (VRF) systems in heat pump operation mode (either cooling or heating is provided but not simultaneously). The main improvement of the new model is the introduction of the evaporating and condensing temperature in the indoor and outdoor unit capacity modifier functions. The independent variables in the capacity modifier functions of the existing VRF model in EnergyPlus are mainly room wet-bulb temperature and outdoor dry-bulb temperature in cooling mode and room dry-bulb temperature and outdoor wet-bulb temperature in heating mode. The new approach allows compliance with different specifications of each indoor unit so that the modeling accuracy is improved. The new VRF model was implemented in a custom version of EnergyPlus 7.2. This paper first describes the algorithm for the new VRF model, which is then used to simulate the energy performance of a VRF system in a Prototype House in California that complies with the requirements of Title 24 ? the California Building Energy Efficiency Standards. The VRF system performance is then compared with three other types of HVAC systems: the Title 24-2005 Baseline system, the traditional High Efficiency system, and the EnergyStar Heat Pump system in three typical California climates: Sunnyvale, Pasadena and Fresno. Calculated energy savings from the VRF systems are significant. The HVAC site energy savings range from 51 to 85percent, while the TDV (Time Dependent Valuation) energy savings range from 31 to 66percent compared to the Title 24 Baseline Systems across the three climates. The largest energy savings are in Fresno climate followed by Sunnyvale and Pasadena. The paper discusses various characteristics of the VRF systems contributing to the energy savings. It should be noted that these savings are calculated using the Title 24 prototype House D under standard operating conditions. Actual performance of the VRF systems for real

  6. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

    SciTech Connect

    Sanyal, Jibonananda; New, Joshua Ryan; Edwards, Richard; Parker, Lynne Edwards

    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 standard 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.

  7. Form:Buildings Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    with that name already exists, you will be sent to a form to edit that page. Create or edit Retrieved from "http:en.openei.orgwindex.php?titleForm:BuildingsModel&oldid270041...

  8. Is the Danish wind energy model replicable for other countries?

    SciTech Connect

    Sovacool, Benjamin K.; Lindboe, Hans H.; Odgaard, Ole

    2008-03-15

    Though aspects of the Danish wind energy model are unique, policymakers might do well to imitate such aspects as a strong political commitment, consistent policy mechanisms, and an incremental, ''hands-on'' approach to R and D. (author)

  9. Cosmological viability conditions for f(T) dark energy models

    SciTech Connect

    Setare, M.R.; Mohammadipour, N. 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, 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.

  10. Heat Pump Water Heater Modeling in EnergyPlus (Presentation)

    SciTech Connect

    Wilson, E.; Christensen, C.

    2012-03-01

    This presentation summarizes NREL's development of a HPWH model for use in hourly building energy simulation programs, such as BEopt; this presentation was given at the Building America Stakeholder meeting on March 1, 2012, in Austin, Texas.

  11. Heat Pump Water Heating Modeling in EnergyPlus

    SciTech Connect

    Wilson, Eric; Christensen, Craig

    2012-03-01

    This presentation summarizes NREL's development of a HPWH model for use in hourly building energy simulation programs, such as BEopt; this presentation was given at the Building America Stakeholder meeting on March 1, 2012, in Austin, Texas.

  12. Building Energy Modeling Program Overview — 2016 BTO Peer Review

    Energy.gov [DOE]

    This presentation at the 2016 Peer Review provided an overview of the Building Technologies Office’s Building Energy Modeling Program. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs.

  13. Community Wind Handbook/Research Turbine Models | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    as how much energy you plan to produce. While consumers are free to choose any turbine model or type, it is important to know that many resources are available to help you...

  14. HOMER® Energy Modeling Software V2.64

    Energy Science and Technology Software Center

    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.

  15. HOMER® Energy Modeling Software V2.63

    Energy Science and Technology Software Center

    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.

  16. HOMER® Energy Modeling Software V2.67

    Energy Science and Technology Software Center

    2008-12-31

    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.

  17. HOMER® Energy Modeling Software V2.19

    Energy Science and Technology Software Center

    2008-12-31

    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.

  18. HOMER® Energy Modeling Software V2.65

    Energy Science and Technology Software Center

    2008-12-31

    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.

  19. HOMER® Energy Modeling Software V2.0

    Energy Science and Technology Software Center

    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.

  20. The Transportation Sector Model of the National Energy Modeling...

    Gasoline and Diesel Fuel Update

    Information Administration NEMS Transportation Demand Model Documentation Report 2005 25 manufacturing, and design advances. Manufacturing advances can generally be thought of as...

  1. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect

    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 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. 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.

  2. Building Energy Modeling Overview- 2014 BTO Peer Review

    Energy.gov [DOE]

    Presenter: Amir Roth, U.S. Department of Energy This presentation at the 2014 Peer Review provided an overview of the Building Technologies Office's Building Energy Modeling activities. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs.

  3. Technoeconomic Modeling of Battery Energy Storage in SAM

    SciTech Connect

    DiOrio, Nicholas; Dobos, Aron; Janzou, Steven; Nelson, Austin; Lundstrom, Blake

    2015-09-01

    Detailed comprehensive lead-acid and lithium-ion battery models have been integrated with photovoltaic models in an effort to allow System Advisor Model (SAM) to offer the ability to predict the performance and economic benefit of behind the meter storage. In a system with storage, excess PV energy can be saved until later in the day when PV production has fallen, or until times of peak demand when it is more valuable. Complex dispatch strategies can be developed to leverage storage to reduce energy consumption or power demand based on the utility rate structure. This document describes the details of the battery performance and economic models in SAM.

  4. Delayed energy injection model for gamma-ray burst afterglows

    SciTech Connect

    Geng, J. J.; Huang, Y. F.; Yu, Y. B. [Department of Astronomy, Nanjing University, Nanjing 210093 (China); Wu, X. F., E-mail: hyf@nju.edu.cn, E-mail: xfwu@pmo.ac.cn [Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008 (China)

    2013-12-10

    The shallow decay phase and flares in the afterglows of gamma-ray bursts (GRBs) are widely believed to be associated with the later activation of the central engine. Some models of energy injection involve a continuous energy flow since the GRB trigger time, such as the magnetic dipole radiation from a magnetar. However, in the scenario involving a black hole accretion system, the energy flow from the fall-back accretion may be delayed for a fall-back time ?t {sub fb}. Thus, we propose a delayed energy injection model. The delayed energy would cause a notable rise to the Lorentz factor of the external shock, which will 'generate' a bump in the multiple band afterglows. If the delayed time is very short, our model degenerates to the previous models. Our model can explain the significant re-brightening in the optical and infrared light curves of GRB 081029 and GRB 100621A. A considerable fall-back mass is needed to provide the later energy; this indicates that GRBs accompanied with fall-back material may be associated with a low energy supernova so that the fraction of the envelope can survive during eruption. The fall-back time can give meaningful information on the properties of GRB progenitor stars.

  5. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Verification and Validation (V&V) Plan Requirements | Department of Energy Software Verification and Validation (V&V) Plan Requirements Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements The purpose of the NEAMS Software V&V Plan is to define what the NEAMS program expects in terms of V&V for the computational models that are developed under NEAMS. NEAMS Software Verification and Validation Plan

  6. Challenges and Solutions for Multifamily Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Solutions for Multifamily Modeling Challenges and Solutions for Multifamily Modeling This presentation was delivered at the U.S. Department of Energy Building America Technical Update meeting on April 29-30, 2013, in Denver, Colorado. cq6_modeling_multifamily_puttagunta.pdf (923.2 KB) More Documents & Publications Critical Question #6: What are the Challenges and Solutions for Modeling Multifamily Buildings? Building America Webinar: High Performance Space Conditioning Systems, Part II -

  7. National Strategic Unconventional Resource Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In

  8. Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program

    SciTech Connect

    Don Shirey

    2008-02-28

    EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An

  9. Light Inspires Energy Efficient Building Design - News Feature | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Light Inspires Energy Efficient Building Design March 1, 2010 Photo of a man and a woman in a lab holding a window with tinted glass. Enlarge image NREL Researchers Dane Gillespie and Erin Whitney will get to see the windows they normally test in the lab used in a real world environment at the RSF. Credit: Pat Corkery Artists find inspiration in many ways. But for the artists (architects and researchers) working collaboratively to create the most energy efficient office space in the U.S., the

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

    SciTech Connect

    1997-02-01

    Over the past year, several modifications have been made to the NEMS Transportation Model, incorporating greater levels of detail and analysis in modules previously represented in the aggregate or under a profusion of simplifying assumptions. This document is intended to amend those sections of the Model Documentation Report (MDR) which describe these superseded modules. Significant changes have been implemented in the LDV Fuel Economy Model, the Alternative Fuel Vehicle Model, the LDV Fleet Module, and the Highway Freight Model. The relevant sections of the MDR have been extracted from the original document, amended, and are presented in the following pages. A brief summary of the modifications follows: In the Fuel Economy Model, modifications have been made which permit the user to employ more optimistic assumptions about the commercial viability and impact of selected technological improvements. This model also explicitly calculates the fuel economy of an array of alternative fuel vehicles (AFV`s) which are subsequently used in the estimation of vehicle sales. In the Alternative Fuel Vehicle Model, the results of the Fuel Economy Model have been incorporated, and the program flows have been modified to reflect that fact. In the Light Duty Vehicle Fleet Module, the sales of vehicles to fleets of various size are endogenously calculated in order to provide a more detailed estimate of the impacts of EPACT legislation on the sales of AFV`s to fleets. In the Highway Freight Model, the previous aggregate estimation has been replaced by a detailed Freight Truck Stock Model, where travel patterns, efficiencies, and energy intensities are estimated by industrial grouping. Several appendices are provided at the end of this document, containing data tables and supplementary descriptions of the model development process which are not integral to an understanding of the overall model structure.

  11. Dynamics of holographic vacuum energy in the DGP model

    SciTech Connect

    Wu Xing; Zhu Zonghong; Cai Ronggen

    2008-02-15

    We consider the evolution of the vacuum energy in the Dvali-Gabadadze-Porrati (DGP) model according to the holographic principle under the assumption that the relation linking the IR and UV cutoffs still holds in this scenario. The model is studied when the IR cutoff is chosen to be the Hubble scale H{sup -1}, the particle horizon R{sub ph}, and the future event horizon R{sub eh}, respectively. The two branches of the DGP model are also taken into account. Through numerical analysis, we find that in the cases of H{sup -1} in the (+) branch and R{sub eh} in both branches, the vacuum energy can play the role of dark energy. Moreover, when considering the combination of the vacuum energy and the 5D gravity effect in both branches, the equation of state of the effective dark energy may cross -1, which may lead to the big rip singularity. Besides, we constrain the model with the Type Ia supernovae and baryon oscillation data and find that our model is consistent with current data within 1{sigma}, and that the observations prefer either a pure holographic dark energy or a pure DGP model.

  12. NREL's Building Component Library for Use with Energy Models

    DOE Data Explorer

    The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. The BCL currently contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

  13. FOSSIL2 energy policy model documentation: FOSSIL2 documentation

    SciTech Connect

    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, as is appropriate for a system dynamics simulation model. 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. Volumes II and III of this report list the equations that comprise the FOSSIL2 model, along with variable definitions and a cross-reference list of the model variables. Volume III lists the model equations and a one line definition for equations, in a short, readable format.

  14. Building Energy Modeling Sub-Program Logic Model

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Test, validate, characterize & improve BEM engine accuracy. Increase use of BEM & DOE tools via market partnerships. Direct support for BTO apps, e.g., HES, Asset Score & Scout analysis tool. Direct & shared funding to enhance, support & maintain E+, OS & RD Enhance, maintain & support open- source BEM tools EnergyPlus (E+), OpenStudio. (OS) & Radiance (RD) Increased use of BEM (esp. E+ & OS-based tools) by utilities develop & administer programs Increased

  15. White paper on VU for Modeling Nuclear Energy Systems

    SciTech Connect

    Klein, R; Turinsky, P

    2009-05-07

    The purpose of this whitepaper is to provide a framework for understanding the role that Verification and Validation (V&V), Uncertainty Quantification (UQ) and Risk Quantification, collectively referred to as VU, is expected to play in modeling nuclear energy systems. We first provide background for the modeling of nuclear energy based systems. We then provide a brief discussion that emphasizes the critical elements of V&V as applied to nuclear energy systems but is general enough to cover a broad spectrum of scientific and engineering disciplines that include but are not limited to astrophysics, chemistry, physics, geology, hydrology, chemical engineering, mechanical engineering, civil engineering, electrical engineering, nu nuclear engineering material clear science science, etc. Finally, we discuss the critical issues and challenges that must be faced in the development of a viable and sustainable VU program in support of modeling nuclear energy systems.

  16. Natural gas transmission and distribution model of the National Energy Modeling System

    SciTech Connect

    1997-02-01

    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. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.

  17. Municipal Bond- Power Purchase Agreement Model Continues to Provide Low-Cost Solar Energy

    Energy.gov [DOE]

    Provides an overview for power purchase agreement model to provide low-cost solar energy. Author: National Renewable Energy Laboratory

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

    Reports and 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.

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

    SciTech Connect

    Bull, Diana L; Smith, Chris; Jenne, Dale Scott; Jacob, Paul; Copping, Andrea; Willits, Steve; Fontaine, Arnold; Brefort, Dorian; Gordon, Margaret Ellen; Copeland, Robert; Jepsen, Richard Alan

    2014-10-01

    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 SAND2013-9040 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.

  20. Models and Tools for Evaluating Energy Efficiency and Renewable Energy Programs Webinar

    Energy.gov [DOE]

    In this webinar, attendees will learn about the models and tools developed by DOE and its partners to assist Tribes in assessing renewable energy and energy efficiency project potential. The webinar is held from 11:00 a.m. to 12:30 p.m. Mountain Standard Time on May 27, 2015.

  1. Enforcing elemental mass and energy balances for reduced order models

    SciTech Connect

    Ma, J.; Agarwal, K.; Sharma, P.; Lang, Y.; Zitney, S.; Gorton, I.; Agawal, D.; Miller, D.

    2012-01-01

    Development of economically feasible gasification and carbon capture, utilization and storage (CCUS) technologies requires a variety of software tools to optimize the designs of not only the key devices involved (e., g., gasifier, CO{sub 2} adsorber) but also the entire power generation system. High-fidelity models such as Computational Fluid Dynamics (CFD) models are capable of accurately simulating the detailed flow dynamics, heat transfer, and chemistry inside the key devices. However, the integration of CFD models within steady-state process simulators, and subsequent optimization of the integrated system, still presents significant challenges due to the scale differences in both time and length, as well the high computational cost. A reduced order model (ROM) generated from a high-fidelity model can serve as a bridge between the models of different scales. While high-fidelity models are built upon the principles of mass, momentum, and energy conservations, ROMs are usually developed based on regression-type equations and hence their predictions may violate the mass and energy conservation laws. A high-fidelity model may also have the mass and energy balance problem if it is not tightly converged. Conservations of mass and energy are important when a ROM is integrated to a flowsheet for the process simulation of the entire chemical or power generation system, especially when recycle streams are connected to the modeled device. As a part of the Carbon Capture Simulation Initiative (CCSI) project supported by the U.S. Department of Energy, we developed a software framework for generating ROMs from CFD simulations and integrating them with Process Modeling Environments (PMEs) for system-wide optimization. This paper presents a method to correct the results of a high-fidelity model or a ROM such that the elemental mass and energy are conserved perfectly. Correction factors for the flow rates of individual species in the product streams are solved using a

  2. Closing Gaps in Modeling Multifamily Retrofits | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Closing Gaps in Modeling Multifamily Retrofits Closing Gaps in Modeling Multifamily Retrofits This presentation was delivered at the U.S. Department of Energy Building America Technical Update meeting on April 29-30, 2013, in Denver, Colorado. cq6_closing_gaps_multifamily_dentz.pdf (1.61 MB) More Documents & Publications Critical Question #6: What are the Challenges and Solutions for Modeling Multifamily Buildings? Building America Webinar: Central Multifamily Water Heating Systems -

  3. Advanced Modeling and Simulation Documents | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Advanced Modeling & Simulation » Advanced Modeling and Simulation Documents Advanced Modeling and Simulation Documents August 6, 2015 Advanced Sensors and Instrumentation Project Review Webinar 2014 The Nuclear Energy Enabling Technologies (NEET) Advanced Sensors and Instrumentation (ASI) program, in coordination with the Office of Nuclear Reactor Technologies and the Office of Fuel Cycle Technologies, conducted an Instrumentations and Controls (I&C) project review webinar on September

  4. Geothermal Electricity Technology Evaluation Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Geothermal Electricity Technology Evaluation Model Geothermal Electricity Technology Evaluation Model The Geothermal Technologies Office has uploaded an updated version of the Geothermal Electricity Technology Evaluation Model (GETEM) provided by Idaho National Laboratory. GETEM is an Excel-based tool used to estimate the Levelized Cost of Energy for definable geothermal scenarios. Electrical power generation is the sole geothermal use considered by GETEM and does not provide assessment

  5. Non-adiabatic perturbations in Ricci dark energy model

    SciTech Connect

    Karwan, Khamphee; Thitapura, Thiti E-mail: nanodsci2523@hotmail.com

    2012-01-01

    We show that the non-adiabatic perturbations between Ricci dark energy and matter can grow both on superhorizon and subhorizon scales, and these non-adiabatic perturbations on subhorizon scales can lead to instability in this dark energy model. The rapidly growing non-adiabatic modes on subhorizon scales always occur when the equation of state parameter of dark energy starts to drop towards -1 near the end of matter era, except that the parameter α of Ricci dark energy equals to 1/2. In the case where α = 1/2, the rapidly growing non-adiabatic modes disappear when the perturbations in dark energy and matter are adiabatic initially. However, an adiabaticity between dark energy and matter perturbations at early time implies a non-adiabaticity between matter and radiation, this can influence the ordinary Sachs-Wolfe (OSW) effect. Since the amount of Ricci dark energy is not small during matter domination, the integrated Sachs-Wolfe (ISW) effect is greatly modified by density perturbations of dark energy, leading to a wrong shape of CMB power spectrum. The instability in Ricci dark energy is difficult to be alleviated if the effects of coupling between baryon and photon on dark energy perturbations are included.

  6. A quantum energy transport model for semiconductor device simulation

    SciTech Connect

    Sho, Shohiro; Odanaka, Shinji

    2013-02-15

    This paper describes numerical methods for a quantum energy transport (QET) model in semiconductors, which is derived by using a diffusion scaling in the quantum hydrodynamic (QHD) model. We newly drive a four-moments QET model similar with a classical ET model. Space discretization is performed by a new set of unknown variables. Numerical stability and convergence are obtained by developing numerical schemes and an iterative solution method with a relaxation method. Numerical simulations of electron transport in a scaled MOSFET device are discussed. The QET model allows simulations of quantum confinement transport, and nonlocal and hot-carrier effects in scaled MOSFETs.

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

    SciTech Connect

    Not Available

    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. Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 1

    SciTech Connect

    1998-01-01

    This volume contains input data and parameters used in the model of the transportation sector of the National Energy Modeling System. The list of Transportation Sector Model variables includes parameters for the following: Light duty vehicle modules (fuel economy, regional sales, alternative fuel vehicles); Light duty vehicle stock modules; Light duty vehicle fleet module; Air travel module (demand model and fleet efficiency model); Freight transport module; Miscellaneous energy demand module; and Transportation emissions module. Also included in these appendices are: Light duty vehicle market classes; Maximum light duty vehicle market penetration parameters; Aircraft fleet efficiency model adjustment factors; and List of expected aircraft technology improvements.

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

    SciTech Connect

    Steen, David; Stadler, Michael; Cardoso, Gonçalo; Groissböck, Markus; DeForest, Nicholas; Marnay, Chris

    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 CO2 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 calculations 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.

  10. Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    SciTech Connect

    Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K.; Venkatech, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.

    2009-09-30

    The Renewable Energy and Efficiency Modeling and Analysis Partnership (REMAP) sponsors ongoing workshops to discuss individual 'renewable' technologies, energy/economic modeling, and - to some extent - policy issues related to renewable energy. Since 2002, the group has organized seven workshops, each focusing on a different renewable technology (geothermal, solar, wind, etc.). These workshops originated and continue to be run under an informal partnership of the Environmental Protection Agency (EPA), the Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), the National Renewable Energy Laboratory (NREL), and the American Council on Renewable Energy (ACORE). EPA originally funded the activities, but support is now shared between EPA and EERE. REMAP has a wide range of participating analysts and models/modelers that come from government, the private sector, and academia. Modelers include staff from the Energy Information Administration (EIA), the American Council for an Energy-Efficient Economy (ACEEE), NREL, EPA, Resources for the Future (RFF), Argonne National Laboratory (ANL), Northeast States for Coordinated Air Use Management (NESCAUM), Regional Economic Models Inc. (REMI), ICF International, OnLocation Inc., and Boston University. The working group has more than 40 members, which also includes representatives from DOE, Lawrence Berkeley National Laboratory (LBNL), Union of Concerned Scientists (UCS), Massachusetts Renewable Energy Trust, Federal Energy Regulatory Commission (FERC), and ACORE. This report summarizes the activities and findings of the REMAP activity that started in late 2006 with a kickoff meeting, and concluded in mid-2008 with presentations of final results. As the project evolved, the group compared results across models and across technologies rather than just examining a specific technology or activity. The overall goal was to better understand how and why different energy models give similar and

  11. Unified dark energy-dark matter model with inverse quintessence

    SciTech Connect

    Ansoldi, Stefano; Guendelman, Eduardo I. E-mail: guendel@bgu.ac.il

    2013-05-01

    We consider a model where both dark energy and dark matter originate from the coupling of a scalar field with a non-canonical kinetic term to, both, a metric measure and a non-metric measure. An interacting dark energy/dark matter scenario can be obtained by introducing an additional scalar that can produce non constant vacuum energy and associated variations in dark matter. The phenomenology is most interesting when the kinetic term of the additional scalar field is ghost-type, since in this case the dark energy vanishes in the early universe and then grows with time. This constitutes an ''inverse quintessence scenario'', where the universe starts from a zero vacuum energy density state, instead of approaching it in the future.

  12. Recovery Act. Development of a Model Energy Conservation Training Program

    SciTech Connect

    none,

    2012-07-05

    The overall objective of this project was to develop an updated model Energy Conservation training program for stationary engineers. This revision to the IUOE National Training Fund’s existing Energy Conservation training curriculum is designed to enable stationary engineers to incorporate essential energy management into routine building operation and maintenance tasks. The curriculum uses a blended learning approach that includes classroom, hands-on, computer simulation and web-based training in addition to a portfolio requirement for a workplace-based learning application. The Energy Conservation training program goal is development of a workforce that can maintain new and existing commercial buildings at optimum energy performance levels. The grant start date was July 6, 2010 and the project continued through September 30, 2012, including a three month non-funded extension.

  13. Text-Alternative Version: Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce

    Energy.gov [DOE]

    This is the Webcast of Renewable Energy and Competency model. Led by Linda Silverman an economist at Energy Efficiency and Renewable Energy and Pam Frugoli Department of Labor. This webcast was on...

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

    SciTech Connect

    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 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. 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.

  15. Model studies of oscillating water column wave-energy device

    SciTech Connect

    Koola, P.M.; Ravindran, M.; Narayana, P.A.A.

    1995-04-01

    A harbor oscillating water column wave-energy device has been selected for the Indian pilot wave-energy program. The site has a water depth of about 12 m and an average annual wave-power potential of 13 kW/m. Such sites are attractive locations for fishing breakwaters. Due to the relatively low power potential, these oscillating water column devices arc intended to be modules of a multifunctional breakwater. The present paper highlights the results of the scale-model experiments carried out on a prototype wave-energy caisson.

  16. A stochastic reorganizational bath model for electronic energy transfer

    SciTech Connect

    Fujita, Takatoshi E-mail: aspuru@chemistry.harvard.edu; Huh, Joonsuk; Aspuru-Guzik, Aln E-mail: aspuru@chemistry.harvard.edu

    2014-06-28

    Environmentally induced fluctuations of the optical gap play a crucial role in electronic energy transfer dynamics. One of the simplest approaches to incorporate such fluctuations in energy transfer dynamics is the well known Haken-Strobl-Reineker (HSR) model, in which the energy-gap fluctuation is approximated as white noise. Recently, several groups have employed molecular dynamics simulations and excited-state calculations in conjunction to account for excitation energies thermal fluctuations. On the other hand, since the original work of HSR, many groups have employed stochastic models to simulate the same transfer dynamics. Here, we discuss a rigorous connection between the stochastic and the atomistic bath models. If the phonon bath is treated classically, time evolution of the exciton-phonon system can be described by Ehrenfest dynamics. To establish the relationship between the stochastic and atomistic bath models, we employ a projection operator technique to derive the generalized Langevin equations for the energy-gap fluctuations. The stochastic bath model can be obtained as an approximation of the atomistic Ehrenfest equations via the generalized Langevin approach. Based on this connection, we propose a novel scheme to take account of reorganization effects within the framework of stochastic models. The proposed scheme provides a better description of the population dynamics especially in the regime of strong exciton-phonon coupling. Finally, we discuss the effect of the bath reorganization in the absorption and fluorescence spectra of ideal J-aggregates in terms of the Stokes shifts. We find a simple expression that relates the reorganization contribution to the Stokes shifts the reorganization shift to the ideal or non-ideal exciton delocalization in a J-aggregate. The reorganization shift can be described by three parameters: the monomer reorganization energy, the relaxation time of the optical gap, and the exciton delocalization length. This

  17. Energy Use Intensity and its Influence on the Integrated Daylighting Design of a Large Net Zero Energy Building: Preprint

    SciTech Connect

    Guglielmetti , R.; Scheib, J.; Pless, S. D.; Torcellini , P.; Petro, R.

    2011-03-01

    Net-zero energy buildings generate as much energy as they consume and are significant in the sustainable future of building design and construction. The role of daylighting (and its simulation) in the design process becomes critical. In this paper we present the process the National Renewable Energy Laboratory embarked on in the procurement, design, and construction of its newest building, the Research Support Facility (RSF) - particularly the roles of daylighting, electric lighting, and simulation. With a rapid construction schedule, the procurement, design, and construction had to be tightly integrated; with low energy use. We outline the process and measures required to manage a building design that could expect to operate at an efficiency previously unheard of for a building of this type, size, and density. Rigorous simulation of the daylighting and the electric lighting control response was a given, but the oft-ignored disconnect between lighting simulation and whole-building energy use simulation had to be addressed. The RSF project will be thoroughly evaluated for its performance for one year; preliminary data from the postoccupancy monitoring efforts will also be presented with an eye toward the current efficacy of building energy and lighting simulation.

  18. Nuclear Hybrid Energy System Modeling: RELAP5 Dynamic Coupling Capabilities

    SciTech Connect

    Piyush Sabharwall; Nolan Anderson; Haihua Zhao; Shannon Bragg-Sitton; George Mesina

    2012-09-01

    The nuclear hybrid energy systems (NHES) research team is currently developing a dynamic simulation of an integrated hybrid energy system. A detailed simulation of proposed NHES architectures will allow initial computational demonstration of a tightly coupled NHES to identify key reactor subsystem requirements, identify candidate reactor technologies for a hybrid system, and identify key challenges to operation of the coupled system. This work will provide a baseline for later coupling of design-specific reactor models through industry collaboration. The modeling capability addressed in this report focuses on the reactor subsystem simulation.

  19. Model documentation report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System

    SciTech Connect

    Not Available

    1994-02-07

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 1994 (AEO94). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS MAM used for the AEO 1994 production runs for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  20. SEMATECH: A Model for Advancing Solar Technology | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    SEMATECH: A Model for Advancing Solar Technology SEMATECH: A Model for Advancing Solar Technology May 24, 2011 - 11:22am Addthis SEMATECH brings 14 companies together to help them share and collaborate in their most expensive and difficult manufacturing development projects. Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs One of the hardest parts for start-up companies producing an emerging technology is the cost to test and develop more efficient

  1. Relativistic mean-field model with energy dependent self-energies

    SciTech Connect

    Antic, S.; Typel, S.

    2015-02-24

    Conventional relativistic mean-field theory is extended with the introduction of higher-order derivative couplings of nucleons with the meson fields. The Euler-Lagrange equations follow from the principle of stationary action. From invariance principles of the Lagrangian density the most general expressions for the conserved current and energy-momentum tensor are derived. The nucleon self-energies show the explicit dependence on the meson fields. They contain additional regulator functions which describe the energy dependence. The density dependence of meson-nucleon couplings causes the apperance of additional rearrangement contributions in the self-energies. The equation of state of infinite nuclear matter is obtained and the thermodynamical consistency of the model is demonstrated. This model is applied to the description of spherical, non-rotating stars in β-equilibrium. Stellar structure is calculated by solving the Tolman-Oppenheimer-Volkov (TOV) equations. The results for neutron stars are shown in terms of mass-radius relations.

  2. Modeling Supermarket Refrigeration Systems with EnergyPlus

    SciTech Connect

    Stovall, Therese K; Baxter, Van D

    2010-01-01

    Supermarket refrigeration capabilities were first added to EnergyPlus in 2004. At that time, it was possible to model a direct expansion (DX) rack system with multiple refrigerated cases. The basic simulation software handles all the building energy uses, typically on a 5 to 10 minute time step throughout the period of interest. The original refrigeration module included the ability to model the sensible and latent interactions between the refrigerated cases and the building HVAC system, along with some basic heat recovery capabilities. Over the last few years, the refrigeration module has been expanded to handle more complex systems, such as secondary loops, shared condensers, cascade condensers, subcoolers, and walk-in coolers exchanging energy with multiple conditioned zones.

  3. Spreading of energy in the Ding-Dong model

    SciTech Connect

    Roy, S.; Pikovsky, A.

    2012-06-15

    We study the properties of energy spreading in a lattice of elastically colliding harmonic oscillators (Ding-Dong model). We demonstrate that in the regular lattice the spreading from a localized initial state is mediated by compactons and chaotic breathers. In a disordered lattice, the compactons do not exist, and the spreading eventually stops, resulting in a finite configuration with a few chaotic spots.

  4. Wind energy conversion system analysis model (WECSAM) computer program documentation

    SciTech Connect

    Downey, W T; Hendrick, P L

    1982-07-01

    Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation. Thus, any user-supplied data for WECS performance, application load, utility rates, or wind resource may be entered into the scratch file to override the default data-base value. After the model and the inputs required from the user and derived from the data base are described, the model output and the various output options that can be exercised by the user are detailed. The general operation is set forth and suggestions are made for efficient modes of operation. Sample listings of various input, output, and data-base files are appended. (LEW)

  5. Model documentation report: Residential sector demand module of the National Energy Modeling System

    SciTech Connect

    1997-01-01

    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 document serves three purposes. First, it is a reference document that provides a detailed description for energy analysts, other users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

  6. Short-Term Energy Outlook Model Documentation: Motor Gasoline Consumption Model

    Reports and Publications

    2011-01-01

    The motor gasoline consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of total U.S. consumption of motor gasolien based on estimates of vehicle miles traveled and average vehicle fuel economy.

  7. Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model

    Reports and Publications

    2009-01-01

    The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

  8. Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model

    Reports and Publications

    2009-01-01

    The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 Census regions: Northeast, South, Midwest, and West.

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

    SciTech Connect

    1996-04-30

    This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.

  10. Comparison of Real World Energy Consumption to Models and Department of Energy Test Procedures

    SciTech Connect

    Goetzler, William; Sutherland, Timothy; Kar, Rahul; Foley, Kevin

    2011-09-01

    This study investigated the real-world energy performance of appliances and equipment as it compared with models and test procedures. The study looked to determine whether the U.S. Department of Energy and industry test procedures actually replicate real world conditions, whether performance degrades over time, and whether installation patterns and procedures differ from the ideal procedures. The study first identified and prioritized appliances to be evaluated. Then, the study determined whether real world energy consumption differed substantially from predictions and also assessed whether performance degrades over time. Finally, the study recommended test procedure modifications and areas for future research.

  11. Turkey energy and environmental review - Task 7 energy sector modeling : executive summary.

    SciTech Connect

    Conzelmann, G.; Koritarov, V.; Decision and Information Sciences

    2008-02-28

    Turkey's demand for energy and electricity is increasing rapidly. Since 1990, energy consumption has increased at an annual average rate of 4.3%. As would be expected, the rapid expansion of energy production and consumption has brought with it a wide range of environmental issues at the local, regional and global levels. With respect to global environmental issues, Turkey's carbon dioxide (CO2) emissions have grown along with its energy consumption. Emissions in 2000 reached 211 million metric tons. With GDP projected to grow at over 6% per year over the next 25 years, both the energy sector and the pollution associated with it are expected to increase substantially. This is expected to occur even if assuming stricter controls on lignite and hard coal-fired power generation. All energy consuming sectors, that is, power, industrial, residential, and transportation, will contribute to this increased emissions burden. Turkish Government authorities charged with managing the fundamental problem of carrying on economic development while protecting the environment include the Ministry of Environment (MOE), the Ministry of Energy and Natural Resources (MENR), and the Ministry of Health, as well as the Turkish Electricity Generation & Transmission Company (TEAS). The World Bank, working with these agencies, is planning to assess the costs and benefits of various energy policy alternatives under an Energy and Environment Review (EER). Eight individual studies have been conducted under this activity to analyze certain key energy technology issues and use this analysis to fill in the gaps in data and technical information. This will allow the World Bank and Turkish authorities to better understand the trade-offs in costs and impacts associated with specific policy decisions. The purpose of Task 7-Energy Sector Modeling, is to integrate information obtained in other EER tasks and provide Turkey's policy makers with an integrated systems analysis of the various options for

  12. May 27 Webinar Will Explore Models and Tools for Evaluating Tribal Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Project Potential | Department of Energy 7 Webinar Will Explore Models and Tools for Evaluating Tribal Energy Project Potential May 27 Webinar Will Explore Models and Tools for Evaluating Tribal Energy Project Potential May 21, 2015 - 4:34pm Addthis The U.S. Department of Energy (DOE) Office of Indian Energy, in partnership with Western Area Power Administration (Western), will present the next Tribal Renewable Energy Series webinar, Models and Tools for Evaluating Energy Efficiency and

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

    Reports and 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).

  14. Advanced Modeling of Renewable Energy Market Dynamics: May 2006

    SciTech Connect

    Evans, M.; Little, R.; Lloyd, K.; Malikov, G.; Passolt, G.; Arent, D.; Swezey, B.; Mosey, G.

    2007-08-01

    This report documents a year-long academic project, presenting selected techniques for analysis of market growth, penetration, and forecasting applicable to renewable energy technologies. Existing mathematical models were modified to incorporate the effects of fiscal policies and were evaluated using available data. The modifications were made based on research and classification of current mathematical models used for predicting market penetration. An analysis of the results was carried out, based on available data. MATLAB versions of existing and new models were developed for research and policy analysis.

  15. The growth of structure in interacting dark energy models

    SciTech Connect

    Caldera-Cabral, Gabriela; Maartens, Roy; Schaefer, Bjoern Malte E-mail: roy.maartens@port.ac.uk

    2009-07-01

    If dark energy interacts with dark matter, there is a change in the background evolution of the universe, since the dark matter density no longer evolves as a{sup ?3}. In addition, the non-gravitational interaction affects the growth of structure. In principle, these changes allow us to detect and constrain an interaction in the dark sector. Here we investigate the growth factor and the weak lensing signal for a new class of interacting dark energy models. In these models, the interaction generalises the simple cases where one dark fluid decays into the other. In order to calculate the effect on structure formation, we perform a careful analysis of the perturbed interaction and its effect on peculiar velocities. Assuming a normalization to today's values of dark matter density and overdensity, the signal of the interaction is an enhancement (suppression) of both the growth factor and the lensing power, when the energy transfer in the background is from dark matter to dark energy (dark energy to dark matter)

  16. Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter

    SciTech Connect

    Yu, Y. H.; Jenne, D. S.; Thresher, R.; Copping, A.; Geerlofs, S.; Hanna, L. A.

    2015-01-01

    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 (OSWEC) reference model design in a complementary manner to Reference Models 1-4 contained in the above report. A conceptual design for a taut moored oscillating surge wave energy converter was developed. The design had an annual electrical power of 108 kilowatts (kW), rated power of 360 kW, and intended deployment at water depths between 50 m and 100 m. The study includes structural analysis, power output estimation, a hydraulic power conversion chain system, and mooring designs. The results were used to estimate device capital cost and annual operation and maintenance costs. The device performance and costs were used for the economic analysis, following the methodology presented in SAND2013-9040 that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays up to 100 devices. The levelized cost of energy estimated for the Reference Model 5 OSWEC, presented in this report, was for a single device and arrays of 10, 50, and 100 units, and it enabled the economic analysis to account for cost reductions associated with economies of scale. The baseline commercial levelized cost of energy estimate for the Reference Model 5 device in an array comprised of 10 units is $1.44/kilowatt-hour (kWh), and the value drops to approximately $0.69/kWh for an array of 100 units.

  17. Modeling heavy ion ionization energy loss at low and intermediate energies

    SciTech Connect

    Rakhno, I.L.; /Fermilab

    2009-11-01

    The needs of contemporary accelerator and space projects led to significant efforts made to include description of heavy ion interactions with matter in general-purpose Monte Carlo codes. This paper deals with an updated model of heavy ion ionization energy loss developed previously for the MARS code. The model agrees well with experimental data for various projectiles and targets including super-heavy ions in low-Z media.

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

    DOE PAGES [OSTI]

    Steen, David; Stadler, Michael; Cardoso, Gonçalo; Groissböck, Markus; DeForest, Nicholas; Marnay, Chris

    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 CO2 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 calculations aremore » 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

  19. Optimal Control of Distributed Energy Resources using Model Predictive Control

    SciTech Connect

    Mayhorn, Ebony T.; Kalsi, Karanjit; Elizondo, Marcelo A.; Zhang, Wei; Lu, Shuai; Samaan, Nader A.; Butler-Purry, Karen

    2012-07-22

    In an isolated power system (rural microgrid), Distributed Energy Resources (DERs) such as renewable energy resources (wind, solar), energy storage and demand response can be used to complement fossil fueled generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation. The problem is formulated as a multi-objective optimization problem with the goals of minimizing fuel costs and changes in power output of diesel generators, minimizing costs associated with low battery life of energy storage and maintaining system frequency at the nominal operating value. Two control modes are considered for controlling the energy storage to compensate either net load variability or wind variability. Model predictive control (MPC) is used to solve the aforementioned problem and the performance is compared to an open-loop look-ahead dispatch problem. Simulation studies using high and low wind profiles, as well as, different MPC prediction horizons demonstrate the efficacy of the closed-loop MPC in compensating for uncertainties in wind and demand.

  20. Energy considerations in the Community Atmosphere Model (CAM)

    SciTech Connect

    Williamson, David L.; Olson, Jerry G.; Hannay, Cécile; Toniazzo, Thomas; Yudin, Valery; Taylor, Mark

    2015-06-30

    An error in the energy formulation in the Community Atmosphere Model (CAM) is identified and corrected. Ten year AMIP simulations are compared using the correct and incorrect energy formulations. Statistics of selected primary variables all indicate physically insignificant differences between the simulations, comparable to differences with simulations initialized with rounding sized perturbations. The two simulations are so similar mainly because of an inconsistency in the application of the incorrect energy formulation in the original CAM. CAM used the erroneous energy form to determine the states passed between the parameterizations, but used a form related to the correct formulation for the state passed from the parameterizations to the dynamical core. If the incorrect form is also used to determine the state passed to the dynamical core the simulations are significantly different. In addition, CAM uses the incorrect form for the global energy fixer, but that seems to be less important. The difference of the magnitude of the fixers using the correct and incorrect energy definitions is very small.

  1. Energy considerations in the Community Atmosphere Model (CAM)

    DOE PAGES [OSTI]

    Williamson, David L.; Olson, Jerry G.; Hannay, Cécile; Toniazzo, Thomas; Yudin, Valery; Taylor, Mark

    2015-06-30

    An error in the energy formulation in the Community Atmosphere Model (CAM) is identified and corrected. Ten year AMIP simulations are compared using the correct and incorrect energy formulations. Statistics of selected primary variables all indicate physically insignificant differences between the simulations, comparable to differences with simulations initialized with rounding sized perturbations. The two simulations are so similar mainly because of an inconsistency in the application of the incorrect energy formulation in the original CAM. CAM used the erroneous energy form to determine the states passed between the parameterizations, but used a form related to the correct formulation for themore » state passed from the parameterizations to the dynamical core. If the incorrect form is also used to determine the state passed to the dynamical core the simulations are significantly different. In addition, CAM uses the incorrect form for the global energy fixer, but that seems to be less important. The difference of the magnitude of the fixers using the correct and incorrect energy definitions is very small.« less

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

    SciTech Connect

    1998-01-01

    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, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.

  3. Nationwide water availability data for energy-water modeling.

    SciTech Connect

    Tidwell, Vincent Carroll; Zemlick, Katie M.; Klise, Geoffrey Taylor

    2013-11-01

    The purpose of this effort is to explore where the availability of water could be a limiting factor in the siting of new electric power generation. To support this analysis, water availability is mapped at the county level for the conterminous United States (3109 counties). Five water sources are individually considered, including unappropriated surface water, unappropriated groundwater, appropriated water (western U.S. only), municipal wastewater and brackish groundwater. Also mapped is projected growth in non-thermoelectric consumptive water demand to 2035. Finally, the water availability metrics are accompanied by estimated costs associated with utilizing that particular supply of water. Ultimately these data sets are being developed for use in the National Renewable Energy Laboratories' (NREL) Regional Energy Deployment System (ReEDS) model, designed to investigate the likely deployment of new energy installations in the U.S., subject to a number of constraints, particularly water.

  4. General Equilibrium Emissions Model (GEEM) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Development (IISD) Sector: Climate, Energy Focus Area: Renewable Energy, Non-renewable Energy, Agriculture, Buildings, Economic Development, Energy Efficiency, Forestry, Goods...

  5. Energy savings modelling of re-tuning energy conservation measures in large office buildings

    SciTech Connect

    Fernandez, Nick; Katipamula, Srinivas; Wang, Weimin; Huang, Yunzhi; Liu, Guopeng

    2014-10-20

    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 as 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 energy

  6. Comparison of software models for energy savings from cool roofs

    DOE PAGES [OSTI]

    New, Joshua; Miller, William A.; Huang, Yu; Levinson, Ronnen

    2015-06-07

    For this study, 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. RSC simulates multiple roof and attic technologies for side-by-side comparison including reflective roofs, different roof slopes, above sheathing ventilation, radiant barriers, low-emittance roof surfaces, duct location, duct leakage rates, multiple substrate types, and insulation levels. Annual simulations of hour-by-hour, whole-building performance are used to provide estimated annual energy and cost savings from reduced HVAC use. While RSC reported similar cooling savingsmore » to other simulation engines, heating penalty varied significantly. RSC results show reduced 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. Also included are comparisons to previous simulation-based studies, analysis 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. Finally, radiant heat transfer and duct interaction not previously modeled is considered a major contributor to heating penalties.« less

  7. Comparison of software models for energy savings from cool roofs

    SciTech Connect

    New, Joshua; Miller, William A.; Huang, Yu; Levinson, Ronnen

    2015-06-07

    For this study, 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. RSC simulates multiple roof and attic technologies for side-by-side comparison including reflective roofs, different roof slopes, above sheathing ventilation, radiant barriers, low-emittance roof surfaces, duct location, duct leakage rates, multiple substrate types, and insulation levels. Annual simulations of hour-by-hour, whole-building performance are used to provide estimated annual energy and cost savings from reduced HVAC use. While RSC reported similar cooling savings to other simulation engines, heating penalty varied significantly. RSC results show reduced 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. Also included are comparisons to previous simulation-based studies, analysis 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. Finally, radiant heat transfer and duct interaction not previously modeled is considered a major contributor to heating penalties.

  8. Results from Development of Model Specifications for Multifamily Energy Retrofits

    SciTech Connect

    Brozyna, K.

    2012-08-01

    Specifications, modeled after CSI MasterFormat, provide the trade contractors and builders with requirements and recommendations on specific building materials, components and industry practices that comply with the expectations and intent of the requirements within the various funding programs associated with a project. The goal is to create a greater level of consistency in execution of energy efficiency retrofits measures across the multiple regions a developer may work. IBACOS and Mercy Housing developed sample model specifications based on a common building construction type that Mercy Housing encounters.

  9. Results From Development of Model Specifications for Multifamily Energy Retrofits

    SciTech Connect

    Brozyna, Kevin

    2012-08-01

    Specifications, modeled after CSI MasterFormat, provide the trade contractors and builders with requirements and recommendations on specific building materials, components and industry practices that comply with the expectations and intent of the requirements within the various funding programs associated with a project. The goal is to create a greater level of consistency in execution of energy efficiency retrofits measures across the multiple regions a developer may work. IBACOS and Mercy Housing developed sample model specifications based on a common building construction type that Mercy Housing encounters.

  10. Modeling renewable energy resources in integrated resource planning

    SciTech Connect

    Logan, D.; Neil, C.; Taylor, A.

    1994-06-01

    Including renewable energy resources in integrated resource planning (IRP) requires that utility planning models properly consider the relevant attributes of the different renewable resources in addition to conventional supply-side and demand-side options. Otherwise, a utility`s resource plan is unlikely to have an appropriate balance of the various resource options. The current trend toward regulatory set-asides for renewable resources is motivated in part by the perception that the capabilities of current utility planning models are inadequate with regard to renewable resources. Adequate modeling capabilities and utility planning practices are a necessary prerequisite to the long-term penetration of renewable resources into the electric utility industry`s resource mix. This report presents a review of utility planning models conducted for the National Renewable Energy Laboratory (NREL). The review examines the capabilities of utility planning models to address key issues in the choice between renewable resources and other options. The purpose of this review is to provide a basis for identifying high priority areas for advancing the state of the art.

  11. NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)

    SciTech Connect

    Not Available

    2015-01-01

    NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.

  12. Oneida Tribe of Indians of Wisconsin Energy Optimization Model

    SciTech Connect

    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 and 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).

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

    SciTech Connect

    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. The 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 compounds.

  14. Live Webinar on Better Buildings Case Competition: Energy Efficiency in the Restaurant Franchise Model Case Study

    Energy.gov [DOE]

    The Energy Department will present a live webinar titled "A Side of Savings: Energy Efficiency in the Restaurant Franchise Model Case Study."

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

    SciTech Connect

    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, 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.

  16. OneidaTribe of Indians Energy Optimization Model Development...

    Office of Environmental Management (EM)

    ... thermal Bioenergy Biomass Thermal Electric Fuels CNG, biodiesel, electric Conventionals Strategy Energy history Energy forecast ...

  17. ENERGY INVESTMENTS UNDER CLIMATE POLICY: A COMPARISON OF GLOBAL MODELS

    SciTech Connect

    McCollum, David; Nagai, Yu; Riahi, Keywan; Marangoni, Giacomo; Calvin, Katherine V.; Pietzcker, Robert; Van Vliet, Jasper; van der Zwaan, Bob

    2013-11-01

    The levels of investment needed to mobilize an energy system transformation and mitigate climate change are not known with certainty. This paper aims to inform the ongoing dialogue and in so doing to guide public policy and strategic corporate decision making. Within the framework of the LIMITS integrated assessment model comparison exercise, we analyze a multi-IAM ensemble of long-term energy and greenhouse gas emissions scenarios. Our study provides insight into several critical but uncertain areas related to the future investment environment, for example in terms of where capital expenditures may need to flow regionally, into which sectors they might be concentrated, and what policies could be helpful in spurring these financial resources. We find that stringent climate policies consistent with a 2C climate change target would require a considerable upscaling of investments into low-carbon energy and energy efficiency, reaching approximately $45 trillion (range: $30$75 trillion) cumulative between 2010 and 2050, or about $1.1 trillion annually. This represents an increase of some $30 trillion ($10$55 trillion), or $0.8 trillion per year, beyond what investments might otherwise be in a reference scenario that assumes the continuation of present and planned emissions-reducing policies throughout the world. In other words, a substantial "clean-energy investment gap" of some $800 billion/yr exists notably on the same order of magnitude as present-day subsidies for fossil energy and electricity worldwide ($523 billion). Unless the gap is filled rather quickly, the 2C target could potentially become out of reach.

  18. Comparison of Software Models for Energy Savings from Cool Roofs

    SciTech Connect

    New, Joshua Ryan; Miller, William A; Huang, Yu; Levinson, Ronnen

    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 roof 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.

  19. Modeling of customer adoption of distributed energy resources

    SciTech Connect

    Marnay, Chris; Chard, Joseph S.; Hamachi, Kristina S.; Lipman, Timothy; Moezzi, Mithra M.; Ouaglal, Boubekeur; Siddiqui, Afzal S.

    2001-08-01

    This report describes work completed for the California Energy Commission (CEC) on the continued development and application of the Distributed Energy Resources Customer Adoption Model (DER-CAM). This work was performed at Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) between July 2000 and June 2001 under the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. Our research on distributed energy resources (DER) builds on the concept of the microgrid ({mu}Grid), a semiautonomous grouping of electricity-generating sources and end-use sinks that are placed and operated for the benefit of its members. Although a {mu}Grid can operate independent of the macrogrid (the utility power network), the {mu}Grid is usually interconnected, purchasing energy and ancillary services from the macrogrid. Groups of customers can be aggregated into {mu}Grids by pooling their electrical and other loads, and the most cost-effective combination of generation resources for a particular {mu}Grid can be found. In this study, DER-CAM, an economic model of customer DER adoption implemented in the General Algebraic Modeling System (GAMS) optimization software is used, to find the cost-minimizing combination of on-site generation customers (individual businesses and a {mu}Grid) in a specified test year. DER-CAM's objective is to minimize the cost of supplying electricity to a specific customer by optimizing the installation of distributed generation and the self-generation of part or all of its electricity. Currently, the model only considers electrical loads, but combined heat and power (CHP) analysis capability is being developed under the second year of CEC funding. The key accomplishments of this year's work were the acquisition of increasingly accurate data on DER technologies, including the development of methods for forecasting cost reductions for these technologies, and the creation of a credible

  20. A modal approach to modeling spatially distributed vibration energy dissipation.

    SciTech Connect

    Segalman, Daniel Joseph

    2010-08-01

    The nonlinear behavior of mechanical joints is a confounding element in modeling the dynamic response of structures. Though there has been some progress in recent years in modeling individual joints, modeling the full structure with myriad frictional interfaces has remained an obstinate challenge. A strategy is suggested for structural dynamics modeling that can account for the combined effect of interface friction distributed spatially about the structure. This approach accommodates the following observations: (1) At small to modest amplitudes, the nonlinearity of jointed structures is manifest primarily in the energy dissipation - visible as vibration damping; (2) Correspondingly, measured vibration modes do not change significantly with amplitude; and (3) Significant coupling among the modes does not appear to result at modest amplitudes. The mathematical approach presented here postulates the preservation of linear modes and invests all the nonlinearity in the evolution of the modal coordinates. The constitutive form selected is one that works well in modeling spatially discrete joints. When compared against a mathematical truth model, the distributed dissipation approximation performs well.

  1. On the internal consistency of holographic dark energy models

    SciTech Connect

    Horvat, R

    2008-10-15

    Holographic dark energy (HDE) models, underpinned by an effective quantum field theory (QFT) with a manifest UV/IR connection, have become convincing candidates for providing an explanation of the dark energy in the universe. On the other hand, the maximum number of quantum states that a conventional QFT for a box of size L is capable of describing relates to those boxes which are on the brink of experiencing a sudden collapse to a black hole. Another restriction on the underlying QFT is that the UV cut-off, which cannot be chosen independently of the IR cut-off and therefore becomes a function of time in a cosmological setting, should stay the largest energy scale even in the standard cosmological epochs preceding a dark energy dominated one. We show that, irrespective of whether one deals with the saturated form of HDE or takes a certain degree of non-saturation in the past, the above restrictions cannot be met in a radiation dominated universe, an epoch in the history of the universe which is expected to be perfectly describable within conventional QFT.

  2. Parametric modeling of energy filtering by energy barriers in thermoelectric nanocomposites

    SciTech Connect

    Zianni, Xanthippi E-mail: xzianni@gmail.com; Narducci, Dario

    2015-01-21

    We present a parametric modeling of the thermoelectric transport coefficients based on a model previously used to interpret experimental measurements on the conductivity, σ, and Seebeck coefficient, S, in highly Boron-doped polycrystalline Si, where a very significant thermoelectric power factor (TPF) enhancement was observed. We have derived analytical formalism for the transport coefficients in the presence of an energy barrier assuming thermionic emission over the barrier for (i) non-degenerate and (ii) degenerate one-band semiconductor. Simple generic parametric equations are found that are in agreement with the exact Boltzmann transport formalism in a wide range of parameters. Moreover, we explore the effect of energy barriers in 1-d composite semiconductors in the presence of two phases: (a) the bulk-like phase and (b) the barrier phase. It is pointed out that significant TPF enhancement can be achieved in the composite structure of two phases with different thermal conductivities. The TPF enhancement is estimated as a function of temperature, the Fermi energy position, the type of scattering, and the barrier height. The derived modeling provides guidance for experiments and device design.

  3. Distributed generation capabilities of the national energy modeling system

    SciTech Connect

    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. The 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 on the

  4. Model for Energy Supply System Alternatives and their General...

    OpenEI (Open Energy Information) [EERE & EIA]

    long term strategies by analysing cost optimal energy mixes, investment needs and other costs for new infrastructure, energy supply security, energy resource utilization, rate of...

  5. Fuel Cell Power (FCPower) Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    of Energy Partner: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen Topics: Finance Resource Type: Softwaremodeling tools User Interface: Spreadsheet...

  6. DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Two ENERGY STAR Models to EPA for Potential De-Listing DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing January 11, 2012 - 11:00am Addthis U.S. Department of...

  7. DOE Refers Four ENERGY STAR Models to EPA for Potential De-Listing...

    Office of Environmental Management (EM)

    Refers Four ENERGY STAR Models to EPA for Potential De-Listing DOE Refers Four ENERGY STAR Models to EPA for Potential De-Listing June 27, 2012 - 3:07pm Addthis U.S. Department of ...

  8. Oil and Gas Supply Module of the National Energy Modeling System...

    Energy Information Administration (EIA) (indexed site)

    Oil and Gas Supply Module of the National Energy Modeling System: Model Documentation 2014 July 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy ...

  9. Modeling the transfer function for the Dark Energy Survey

    SciTech Connect

    Chang, C.; Busha, M. T.; Wechsler, R. H.; Refregier, A.; Amara, A.; Rykoff, E.; Becker, M. R.; Bruderer, C.; Gamper, L.; Leistedt, B.; Peiris, H.; Abbott, T.; Abdalla, F. B.; Balbinot, E.; Banerji, M.; Bernstein, R. A.; Bertin, E.; Brooks, D.; Carnero, A.; Desai, S.; da Costa, L. N.; Cunha, C. E.; Eifler, T.; Evrard, A. E.; Fausti Neto, A.; Gerdes, D.; Gruen, D.; James, D.; Kuehn, K.; Maia, M. A. G.; Makler, M.; Ogando, R.; Plazas, A.; Sanchez, E.; Santiago, B.; Schubnell, M.; Sevilla-Noarbe, I.; Smith, C.; Soares-Santos, M.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; Zuntz, J.

    2015-03-04

    We present a forward-modelling simulation framework designed to model the data products from the Dark Energy Survey (DES). This forward-model process can be thought of as a transfer function a mapping from cosmological and astronomical signals to the final data products used by the scientists. Using output from the cosmological simulations (the Blind Cosmology Challenge), we generate simulated images (the Ultra Fast Image Simulator, Berge et al. 2013) and catalogs representative of the DES data. In this work we simulate the 244 deg2 coadd images and catalogs in 5 bands for the DES Science Verification (SV) data. The simulation output is compared with the corresponding data to show that major characteristics of the images and catalogs can be captured. We also point out several directions of future improvements. Two practical examples, star/galaxy classification and proximity effects on object detection, are then used to demonstrate how one can use the simulations to address systematics issues in data analysis. With clear understanding of the simplifications in our model, we show that one can use the simulations side-by-side with data products to interpret the measurements. This forward modelling approach is generally applicable for other upcoming and future surveys. As a result, it provides a powerful tool for systematics studies which is sufficiently realistic and highly controllable.

  10. Modeling the Transfer Function for the Dark Energy Survey

    DOE PAGES [OSTI]

    Chang, C.

    2015-03-04

    We present a forward-modeling simulation framework designed to model the data products from the Dark Energy Survey (DES). This forward-model process can be thought of as a transfer function—a mapping from cosmological/astronomical signals to the final data products used by the scientists. Using output from the cosmological simulations (the Blind Cosmology Challenge), we generate simulated images (the Ultra Fast Image Simulator) and catalogs representative of the DES data. In this work we demonstrate the framework by simulating the 244 deg2 coadd images and catalogs in five bands for the DES Science Verification data. The simulation output is compared with themore » corresponding data to show that major characteristics of the images and catalogs can be captured. We also point out several directions of future improvements. Two practical examples—star-galaxy classification and proximity effects on object detection—are then used to illustrate how one can use the simulations to address systematics issues in data analysis. With clear understanding of the simplifications in our model, we show that one can use the simulations side-by-side with data products to interpret the measurements. This forward modeling approach is generally applicable for other upcoming and future surveys. It provides a powerful tool for systematics studies that is sufficiently realistic and highly controllable.« less

  11. Modeling the transfer function for the Dark Energy Survey

    DOE PAGES [OSTI]

    Chang, C.; Busha, M. T.; Wechsler, R. H.; Refregier, A.; Amara, A.; Rykoff, E.; Becker, M. R.; Bruderer, C.; Gamper, L.; Leistedt, B.; et al

    2015-03-04

    We present a forward-modelling simulation framework designed to model the data products from the Dark Energy Survey (DES). This forward-model process can be thought of as a transfer function a mapping from cosmological and astronomical signals to the final data products used by the scientists. Using output from the cosmological simulations (the Blind Cosmology Challenge), we generate simulated images (the Ultra Fast Image Simulator, Berge et al. 2013) and catalogs representative of the DES data. In this work we simulate the 244 deg2 coadd images and catalogs in 5 bands for the DES Science Verification (SV) data. The simulationmoreoutput is compared with the corresponding data to show that major characteristics of the images and catalogs can be captured. We also point out several directions of future improvements. Two practical examples, star/galaxy classification and proximity effects on object detection, are then used to demonstrate how one can use the simulations to address systematics issues in data analysis. With clear understanding of the simplifications in our model, we show that one can use the simulations side-by-side with data products to interpret the measurements. This forward modelling approach is generally applicable for other upcoming and future surveys. As a result, it provides a powerful tool for systematics studies which is sufficiently realistic and highly controllable.less

  12. Short-Term Energy Outlook Model Documentation: Other Petroleum Products Consumption Model

    Reports and Publications

    2011-01-01

    The other petroleum product consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. consumption forecasts for 6 petroleum product categories: asphalt and road oil, petrochemical feedstocks, petroleum coke, refinery still gas, unfinished oils, and other miscvellaneous products

  13. U.S. Department of Energy Public-Private Partnerships: A Model for Success

    Office of Energy Efficiency and Renewable Energy (EERE)

    Below is the text version for "U.S. Department of Energy Public-Private Partnerships: A Model for Success."

  14. Photovoltaic Energy Valuation Model v 1.0

    Energy Science and Technology Software Center

    2012-01-09

    Currently, there is a need identified by Kennecott Land, as well as others in the real estate, appraisal and building industry to come up with a tool that is simple to use and can accurately value the electricity produced by a solar photovoltaic system. In the appraisal industry, comparable properties are used to help in the valuation of a residential property. Absent a comparable feature such as photovoltaic panels on a neighboring property, it ismore » difficult for appraisers to assign a value to that system. In many cases, photovoltaic systems are assigned a value of $0, which essentially ignores the value of energy being produced and being saved by the homeowner relative to the cost of energy they would otherwise have to purchase from the local utility. There are multiple programs that can calculate the value of the energy produced in terms of the payback period and desired internal rate of return, but none employ the concept of discounting the future value of the energy produced at any period in the expected lifetime of a photovoltaic energy system. By creating this spreadsheet, a necessary gap has been filled. It is the expectation that this product will be included in training programs aimed towards the local appraisal community in Salt Lake County, Utah as well as expand into training offered at the national level through the Appraisal Institute. This software product is an excel spreadsheet that is used to calculate the present value of future energy production for photovoltaic electricity generating systems on residential and commercial properties. Visual Basic (VB) code within the spreadsheet allows user data to be passed to the PVWatts System Advisor Model webservice (http://www.nrel.gov/rredc/pvwatts/) and back into the spreadsheet to estimate the annual solar energy production in Salt Lake County, Utah (as well as anywhere in the U.S.). VB is also used for a discount rate calculation and calls the most current Fannie Mae 30-Year Fixed Rate 60-day

  15. Modeling

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Renewable Energy, Research & Capabilities, Wind Energy, Wind News|0 Comments Read More ... Energy, Research & Capabilities, Water Power Sandia Modifies Delft3D Turbine Model ...

  16. An Energy Savings Model for the Heat Treatment of Castings

    SciTech Connect

    Y. Rong; R. Sisson; J. Morral; H. Brody

    2006-12-31

    An integrated system of software, databases, and design rules have been developed, verified, and to be marketed to enable quantitative prediction and optimization of the heat treatment of aluminum castings to increase quality, increase productivity, reduce heat treatment cycle times and reduce energy consumption. The software predicts the thermal cycle in critical locations of individual components in a furnace, the evolution of microstructure, and the attainment of properties in heat treatable aluminum alloy castings. The model takes into account the prior casting process and the specific composition of the component. The heat treatment simulation modules can be used in conjunction with software packages for simulation of the casting process. The system is built upon a quantitative understanding of the kinetics of microstructure evolution in complex multicomponent alloys, on a quantitative understanding of the interdependence of microstructure and properties, on validated kinetic and thermodynamic databases, and validated quantitative models.

  17. Policy Analysis Modeling System (PAMS) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    System AgencyCompany Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policiesdeployment programs...

  18. Construction of energy-stable Galerkin reduced order models.

    SciTech Connect

    Kalashnikova, Irina; Barone, Matthew Franklin; Arunajatesan, Srinivasan; van Bloemen Waanders, Bart Gustaaf

    2013-05-01

    This report aims to unify several approaches for building stable projection-based reduced order models (ROMs). Attention is focused on linear time-invariant (LTI) systems. The model reduction procedure consists of two steps: the computation of a reduced basis, and the projection of the governing partial differential equations (PDEs) onto this reduced basis. Two kinds of reduced bases are considered: the proper orthogonal decomposition (POD) basis and the balanced truncation basis. The projection step of the model reduction can be done in two ways: via continuous projection or via discrete projection. First, an approach for building energy-stable Galerkin ROMs for linear hyperbolic or incompletely parabolic systems of PDEs using continuous projection is proposed. The idea is to apply to the set of PDEs a transformation induced by the Lyapunov function for the system, and to build the ROM in the transformed variables. The resulting ROM will be energy-stable for any choice of reduced basis. It is shown that, for many PDE systems, the desired transformation is induced by a special weighted L2 inner product, termed the %E2%80%9Csymmetry inner product%E2%80%9D. Attention is then turned to building energy-stable ROMs via discrete projection. A discrete counterpart of the continuous symmetry inner product, a weighted L2 inner product termed the %E2%80%9CLyapunov inner product%E2%80%9D, is derived. The weighting matrix that defines the Lyapunov inner product can be computed in a black-box fashion for a stable LTI system arising from the discretization of a system of PDEs in space. It is shown that a ROM constructed via discrete projection using the Lyapunov inner product will be energy-stable for any choice of reduced basis. Connections between the Lyapunov inner product and the inner product induced by the balanced truncation algorithm are made. Comparisons are also made between the symmetry inner product and the Lyapunov inner product. The performance of ROMs constructed

  19. Natural Phenomena Hazards Modeling Project: Seismic Hazard Models for Department of Energy Sites

    SciTech Connect

    Coats, D.W.; Murray, R.C.

    1984-11-01

    Lawrence Livermore National Laboratory (LLNL) has developed seismic and wind hazard models for the Office of Nuclear Safety (ONS), Department of Energy (DOE). The work is part of a three-phase effort aimed at establishing uniform building design criteria for seismic and wind hazards at DOE sites throughout the US. In Phase 1, LLNL gathered information on the sites and their critical facilities, including nuclear reactors, fuel-reprocessing plants, high-level waste storage and treatment facilities, and special nuclear material facilities. In Phase 2, development of seismic and wind hazard models, was initiated. These hazard models express the annual probability that the site will experience an earthquake or wind speed greater than some specified magnitude. This report summarizes the final seismic hazard models and response spectra recommended for each site and the methodology used to develop these models. 15 references, 2 figures, 1 table.

  20. EnergySolution's Clive Disposal Facility Operational Research Model - 13475

    SciTech Connect

    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 operated 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 identifying

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

    SciTech Connect

    1998-01-01

    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. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. 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 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 design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  2. Model Request for Qualifications to Pre-Qualify Energy Service Companies |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Request for Qualifications to Pre-Qualify Energy Service Companies Model Request for Qualifications to Pre-Qualify Energy Service Companies This page contains a model Request for Qualifications (RFQ) and associated documents intended for use by a state program to pre-qualify Energy Service Companies (ESCOs) to be available for as-needed Energy Savings Performance Contracting (ESPC) services for state and local governments within that state. The RFQ sets the stage for a

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

    SciTech Connect

    1994-02-24

    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 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 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. The 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; and Appendix E, Data Quality; and Appendix F, Estimation Methodologies.

  4. Comparison of Real World Energy Consumption to Models and DOE Test

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Procedures | Department of Energy Comparison of Real World Energy Consumption to Models and DOE Test Procedures Comparison of Real World Energy Consumption to Models and DOE Test Procedures This study investigates the real-world energy performance of appliances and equipment as it compares with models and test procedures. The study looked to determine whether DOE and industry test procedures actually replicate real world conditions, whether performance degrades over time, and whether

  5. Stimulating Energy Efficiency in Kentucky: An Implementation Model for

    Energy.gov [DOE] (indexed site)

    Smith Assistant Secretary for Fossil Energy U.S. Department of Energy Fossil Energy Research and Development Subcommittee on Energy Committee on Science, Space and Technology U.S. House of Representatives May 11, 2016 Thank you Chairman Weber, Ranking Member Grayson, and members of the Committee. I appreciate the opportunity to discuss the programs and activities within the Department of Energy's (DOE) Office of Fossil Energy (FE). Our fossil fuel resources are essential to the Nation's security

  6. Energy Analysis Models, Tools and Software Technologies Available for

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Licensing - Energy Innovation Portal Energy Analysis Site Map Printable Version Share this resource About Search Categories (15) Advanced Materials Biomass and Biofuels Building Energy Efficiency Electricity Transmission Energy Analysis Marketing Summaries (119) Energy Storage Geothermal Hydrogen and Fuel Cell Hydropower, Wave and Tidal Industrial Technologies Solar Photovoltaic Solar Thermal Startup America Vehicles and Fuels Wind Energy Partners (27) Visual Patent Search Success Stories

  7. Residential Sector Demand Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update

    Stoves Geothermal Heat Pump Natural Gas Heat Pump Variables: HSYSSHR 2001,eg,b,r Benchmarking Data from Short-Term Energy Outlook Definition: Household energy consumption by...

  8. Asia-Pacific Integrated Model (AIM) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    (LEDS). Key Outputs Emissions estimates (CO2, SO2, NOx), total primary energy supply, electricity generation by fuel-type, sector-wise energy consumption, economic output...

  9. Quality Guidelines for Energy System Studies Process Modeling...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Company Ron Schoff, Electric Power Research Institute Robert D. Brasington, C12 Energy National Energy Technology Laboratory Office of Program Performance and Benefits 6 May...

  10. U.S. Department of Energy Commercial Reference Building Models...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... full load equivalent consumption over 8 hours per day ... of energy efficiency and energy production technologies. ... results that cause great uncertainty in ...

  11. Ventana's Energy, Environment, Economy-Society (E3S) Model |...

    OpenEI (Open Energy Information) [EERE & EIA]

    Organization: Ventana Systems Inc. Partner: United States Department of Energy Sector: Climate, Energy Topics: Co-benefits assessment, - Macroeconomic, Pathways analysis...

  12. NREL: Energy Storage - NREL's Battery Life Predictive Model Helps...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    (EV) manufacturers, solar and wind energy generation companies, and utilities-need to know how to use batteries most effectively. As investment in large-scale battery energy ...

  13. Property:Buildings/ModelXmlFile | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http:apps1.eere.energy.govbuildingsenergyplusmodelsChicago2009TSDGeneralMerchHPL50percent.xml +...

  14. Property:Buildings/ModelIdfFile | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http:apps1.eere.energy.govbuildingsenergyplusmodelsChicago2009TSDGeneralMerchHPL50percent.idf +...

  15. Model Guidelines for Incorporating Energy Efficiency and Renewable...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Disaster Organizations of the Use of PV Incorporating Energy Efficiency into Disaster Recovery Efforts Coordinating Energy Efficiency with Other Disaster Resiliency Services

  16. Stochastic Energy Deployment System (SEDS) World Oil Model (WOM)

    SciTech Connect

    2009-08-07

    The function of the World Oil Market Model (WOMM) is to calculate a world oil price. SEDS will set start and end dates for the forecast period, and a time increment (assumed to be 1 year in the initial version). The WOMM will then randomly select an Annual Energy Outlook (AEO) oil price case and calibrate itself to that case. As it steps through each year, the WOMM will generate a stochastic supply shock to OPEC output and accept a new estimate of U.S. petroleum demand from SEDS. The WOMM will then calculate a new oil market equilibrium for the current year. The world oil price at the new equilibrium will be sent back to SEDS. When the end year is reached, the process will begin again with the selection of a new AEO forecast. Iterations over forecasts will continue until SEDS has completed all its simulation runs.

  17. Energy flow in passive and active 3D cochlear model

    SciTech Connect

    Wang, Yanli; Steele, Charles; Puria, Sunil

    2015-12-31

    Energy flow in the cochlea is an important characteristic of the cochlear traveling wave, and many investigators, such as von Békésy and Lighthill, have discussed this phenomenon. Particularly after the discovery of the motility of the outer hair cells (OHCs), the nature of the power gain of the cochlea has been a fundamental research question. In the present work, direct three-dimensional (3D) calculations of the power on cross sections of the cochlea and on the basilar membrane are performed based on a box model of the mouse cochlea. The distributions of the fluid pressure and fluid velocity in the scala vestibuli are presented. The power output from the OHCs and the power loss due to fluid viscous damping are calculated along the length of the cochlea. This work provides a basis for theoretical calculations of the power gain of the OHCs from mechanical considerations.

  18. Stochastic Energy Deployment System (SEDS) World Oil Model (WOM)

    Energy Science and Technology Software Center

    2009-08-07

    The function of the World Oil Market Model (WOMM) is to calculate a world oil price. SEDS will set start and end dates for the forecast period, and a time increment (assumed to be 1 year in the initial version). The WOMM will then randomly select an Annual Energy Outlook (AEO) oil price case and calibrate itself to that case. As it steps through each year, the WOMM will generate a stochastic supply shock tomore » OPEC output and accept a new estimate of U.S. petroleum demand from SEDS. The WOMM will then calculate a new oil market equilibrium for the current year. The world oil price at the new equilibrium will be sent back to SEDS. When the end year is reached, the process will begin again with the selection of a new AEO forecast. Iterations over forecasts will continue until SEDS has completed all its simulation runs.« less

  19. Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 3

    SciTech Connect

    1998-01-01

    This Appendix consists of two unpublished reports produced by Energy and Environmental Analysis, Inc., under contract to Oak Ridge National Laboratory. These two reports formed the basis for the subsequent development of the Fuel Economy Model described in Volume 1. They are included in order to document more completely the efforts undertaken to construct a comprehensive model of automobile fuel economy. The supplemental reports are as follows: Supplement 1--Documentation Attributes of Technologies to Improve Automotive Fuel Economy; Supplement 2--Analysis of the Fuel Economy Boundary for 2010 and Comparison to Prototypes.

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

    SciTech Connect

    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 PMM estimates domestic refinery capacity expansion and fuel consumption.

  1. Sandia Energy - Energy Surety

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Storage Systems, Energy Surety, Grid Integration, Infrastructure Security, Microgrid, Modeling & Analysis, News, News & Events, Partnership, Renewable Energy, SMART...

  2. Levelized Cost of Energy Analysis of Marine and Hydrokinetic Reference Models: Preprint

    SciTech Connect

    Jenne, D. S.; Yu, Y. H.; Neary, V.

    2015-04-24

    In 2010 the U.S. Department of Energy initiated the development of six marine energy converter reference models. The reference models are point designs of well-known marine energy converters. Each device was designed to operate in a specific marine resource, instead of a generic device that can be deployed at any location. This method allows each device to be used as a benchmark for future reference model to benchmark future devices. The six designs consist of three current energy converters and three wave energy converters. The reference model project has generated both technical and economic data sets that are available in the public domain. The methodology to calculate the levelized cost of energy for the reference model project and an overall comparison of the cost of energy from these six reference-model designs are presented in this paper.

  3. US Energy Service Company Industry: History and Business Models

    Energy.gov [DOE]

    Information about the history of US Energy Service Company including industry history, setbacks, and lessons learned.

  4. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  5. Major models and data sources for residential and commercial sector energy conservation analysis. Final report

    SciTech Connect

    Not Available

    1980-09-01

    Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.

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

    SciTech Connect

    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 supply 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.

  7. Cyclotron Road-A New Model for Clean Energy R&D | Department of Energy

    Energy Saver

    Current Opportunities Related to Water-Energy Current Opportunities Related to Water-Energy Below are links to Funding Opportunity Announcements (FOAs) and Requests for Information (RFIs) listed related to water-energy. On each web page is a detailed description of the opportunity. U.S.-Israel Integrated Energy and Desalination Design Challenge Lab Call - July 6, 2016 deadline The U.S. Department of Energy (DOE) and Israel's Ministry of National Infrastructure, Energy and Water Resources (MIEW)

  8. Energy and Mass Dependences of the Parameters of the Semimicroscopic Folding Model for Alpha Particles at Low and Intermediate Energies

    SciTech Connect

    Kuterbekov, K.A.; Zholdybayev, T.K.; Kukhtina, I.N.; Penionzhkevich, Yu.E.

    2005-06-01

    The energy and mass dependences of the parameters of the semimicroscopic alpha-particle potential are investigated for the first time in the region of low and intermediate energies. Within the semimicroscopic folding model, both elastic and inelastic differential and total cross sections for reactions on various nuclei are well described by using global parameters obtained in this study.

  9. Jobs and Economic Development Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Jobs and Economic Development Modeling Jobs and Economic Development Modeling Project objective: Develop models to estimate jobs and economic impacts from geothermal project ...

  10. Reservoir Modeling Working Group Meeting | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Reservoir Modeling Working Group Meeting Reservoir Modeling Working Group Meeting Reservoir Modeling working group meeting presentation on May 10, 2012 at the 2012 Peer Review ...

  11. Beaird Maxim Model TRP-12 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Beaird Maxim Model TRP-12 Jump to: navigation, search Manufacturer Beaird Model Number Maxim Model TRP-12 Distributed Generation Purpose Domestic hot water, Space heat, HVAC reheat...

  12. Accelerating Energy Savings Performance Contracting Through Model Statewide Programs

    Office of Energy Efficiency and Renewable Energy (EERE)

    Provides information on Energy Savings Performance Contracing (ESPC), including links to best practices and tools as well as the Accelerated ESCP initiative and types of assistance available. Author: Energy Services Coalition

  13. Molecular Modeling of Hot Electron Transfer for Solar Energy...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Solar cell technology is one such technology and takes energy irradiated from the sun and converts it into usable electrical energy. At the heart of solar cell technology is ...

  14. Modeling the Energy Use of a Connected and Automated Transportation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... from policies, including legality, insurance, liability, incentives, and treatment ... on Transportation: Energy Use, Greenhouse Gas Emissions, and Other Factors: http:...

  15. Need for An Integrated Risk Model | Department of Energy

    Office of Environmental Management (EM)

    Need for An Integrated Risk Model Need for An Integrated Risk Model Need for An Integrated Risk Model Michael Salmon, LANL PDF icon Need for An Integrated Risk Model More Documents...

  16. Model Examines Cumulative Impacts of Wind Energy Development on the Greater

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Sage-Grouse | Department of Energy Model Examines Cumulative Impacts of Wind Energy Development on the Greater Sage-Grouse Model Examines Cumulative Impacts of Wind Energy Development on the Greater Sage-Grouse March 31, 2014 - 11:34am Addthis Photo of a sage grouse. The U.S. Department of Energy's (DOE's) Argonne National Laboratory developed a spatially explicit individual-based model for examining the cumulative impacts of wind energy development on populations and habitats of the greater

  17. Panel 2, Modeling the Financial and System Benefits of Energy Storage Applications in Distribution Systems

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling the Financial and System Benefits of Energy Storage Applications in Distribution Systems Patrick Balducci, Senior Economist, Pacific NW National Laboratory Hydrogen Energy Storage for Grid and Transportation Services Workshop Sacramento, California May 14, 2014 Valuation challenges 2 Source: Lamontagne, C. 2014. Survey of Models and Tools for the Stationary Energy Storage Industry. Presentation at Infocast Storage Week. Santa Clara, CA. Transmission and Distribution planning Models lack

  18. A Variable Refrigerant Flow Heat Pump Computer Model in EnergyPlus

    SciTech Connect

    Raustad, Richard A.

    2013-01-01

    This paper provides an overview of the variable refrigerant flow heat pump computer model included with the Department of Energy's EnergyPlusTM whole-building energy simulation software. The mathematical model for a variable refrigerant flow heat pump operating in cooling or heating mode, and a detailed model for the variable refrigerant flow direct-expansion (DX) cooling coil are described in detail.

  19. From the Building to the Grid: An Energy Revolution and Modeling Challenge;

    Office of Scientific and Technical Information (OSTI)

    Workshop Proceedings (Technical Report) | SciTech Connect From the Building to the Grid: An Energy Revolution and Modeling Challenge; Workshop Proceedings Citation Details In-Document Search Title: From the Building to the Grid: An Energy Revolution and Modeling Challenge; Workshop Proceedings This report summarizes the workshop entitled: From the Building to the Grid: An Energy Revolution and Modeling Challenge. The first workshop was held May 1-2, 2012 on NREL's campus in Golden, Colorado.

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

    SciTech Connect

    Zheng, Nina; Zhou, Nan; Fridley, David

    2010-09-01

    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-specific 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 potential

  1. Short-Term Energy Outlook Model Documentation: Coal Supply, Demand, and Prices

    Reports and Publications

    2016-01-01

    The coal module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of U.S. production, consumption, imports, exports, inventories, and prices.

  2. From the Building to the Grid: An Energy Revolution and Modeling...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    these questions) Is there value to integrating the existing models in building energy management systems with those of the grid? a. If so, what are the particular research...

  3. Improving Energy Efficiency by Developing Components for Distributed Cooling and Heating Based on Thermal Comfort Modeling

    Office of Energy Efficiency and Renewable Energy (EERE)

    Discusses comfort model enhancement/validation, climate system efficiency parameters and system trade off, and powertrain mode operation changes to further vehicle energy saving while preserving occupant comfort.

  4. Integrated Deployment Model: A Comprehensive Approach to Transforming the Energy Economy

    SciTech Connect

    Werner, M.

    2010-11-01

    This paper describes the Integrated Deployment model to accelerate market adoption of alternative energy solutions to power homes, businesses, and vehicles through a comprehensive and aggressive approach.

  5. Campus Cafeteria Serves As Sustainable Model for Energy-Efficient Food Service (Fact Sheet), NREL (National Renewable Energy Laboratory)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Campus Cafeteria Serves As Sustainable Model for Energy- Efficient Food Service Unlike the less-than-appealing, traditional cafeteria you may have eaten at in school, the state-of-the-art Café on the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) campus, which opened in 2012, is breaking stereotypes from aesthetics to energy- effcient design. In addition to meeting staff needs as the primary dining location to grab snacks and eat lunch on the Golden, Colorado, campus,

  6. Ad Lucem Workshop: Modeling Breakout Session | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Workshop: Modeling Breakout Session Ad Lucem Workshop: Modeling Breakout Session This presentation summarizes the information discussed during the modeling breakout session of the DOE Ad Lucem Workshop on Feb. 17, 2012. adlucem2012_modeling_breakout.pdf (1.66 MB) More Documents & Publications Ad Lucem: Modeling of Market Transformation Pathways Workshop Agenda Ad Lucem: Modeling Market Transformation Pathways Workshop Break-out Discussion i: Modeling Consumer Behavior Residential Sca

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

    SciTech Connect

    Mendon, Vrushali V.; Taylor, Zachary T.

    2014-09-10

    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 building 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.

  8. U.S. Energy and Greenhouse Gas Model V2.0-2.X

    Energy Science and Technology Software Center

    2004-11-01

    The IJ.S. Energy and Greenhouse Gas Model (USEGM) is designed as a high-level dynamic simulation model to facilitate policy discussions on a real-time basis. The model focuses on U.S. energy demand by economic and electric power sectors through 2025, and is driven by gross domestic product (GOP), energy prices, energy intensities, and population effects. Price and GDP effects on energy demand are captured using a distributed lag model that allows demand to change over severalmore » years in response to price and GOP changes in a given year. Fuel allocation in the electricity sector is determined using a logistic formulation that takes into account relative electricity costs and existing capital allocation. Model outputs include energy demand by sector and type, carbon dioxide emissions, and oil import requirements.« less

  9. Chemistry, Reservoir, and Integrated Models | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Chemistry, Reservoir, and Integrated Models Chemistry, Reservoir, and Integrated Models Below are the project presentations and respective peer review results for Chemistry, Reservoir and Integrated Models. Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems (EGS), Marte Gutierrez and Masami Nakagawa, Colorado School of Mines Development of Advanced Thermal-Hydrological-Mechanical-Chemical (THMC) Modeling Capabilities for Enhanced Geothermal

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

    SciTech Connect

    1998-01-01

    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 international 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.

  11. Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model

    SciTech Connect

    Scott, Michael J.; Daly, Don S.; Hathaway, John E.; Lansing, Carina S.; Liu, Ying; McJeon, Haewon C.; Moss, Richard H.; Patel, Pralit L.; Peterson, Marty J.; Rice, Jennie S.; Zhou, Yuyu

    2015-10-01

    In this paper, an integrated assessment model (IAM) uses a newly-developed Monte Carlo analysis capability to analyze the impacts of more aggressive U.S. residential and commercial building-energy codes and equipment standards on energy consumption and energy service costs at the state level, explicitly recognizing uncertainty in technology effectiveness and cost, socioeconomics, presence or absence of carbon prices, and climate impacts on energy demand. The paper finds that aggressive building-energy codes and equipment standards are an effective, cost-saving way to reduce energy consumption in buildings and greenhouse gas emissions in U.S. states. This conclusion is robust to significant uncertainties in population, economic activity, climate, carbon prices, and technology performance and costs.

  12. POET-DSM's Integrated Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    POET-DSM's Integrated Model POET-DSM's Integrated Model Breakout Session 1-C: Bringing Biorefineries into the Mainstream POET-DSM's Integrated Model Doug Berven, Vice President of ...

  13. Electricity Markets Analysis (EMA) Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    U.S. wholesale electricity markets designed to examine how mid- to long-term energy and environmental policies will influence electricity supply decisions, electricity generation...

  14. Model Energy Efficiency Program Impact Evaluation Guide | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontentmodel-energy-efficiency-program-impac Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible...

  15. EERE Success Story-Colorado: Energy Modeling Products Support...

    Energy.gov [DOE] (indexed site)

    utility that supplies electricity and natural gas to eight ... energy consumption, and OpenStudio(tm), a software development kit that simplifies the creation of end-user ...

  16. Mid-Term Model Development - Energy Information Administration

    Energy Information Administration (EIA) (indexed site)

    PDF Icon White papers Vincent DiVita, Jacobs Consultancy PDF Icon Terrence Higgins, Hart Downstream Energy Services PDF Icon David Hirshfeld, Mathpro Inc. PDF Icon Frederic...

  17. Light Water Reactors A DOE Energy Innovation Hub for Modeling...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    and Simulation of Nuclear Reactors CASL is focused on three issues for nuclear energy: reducing cost, reducing the amount of used nuclear fuel, and safety. CASL core...

  18. Comparison of Real World Energy Consumption to Models and DOE...

    Energy.gov [DOE] (indexed site)

    It first identifies and prioritizes the appliances to be evaluated. Then, the study determines whether real world energy consumption differed substantially from predictions and ...

  19. Global Trade and Environmental Model (GTEM) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Australia Department of Agriculture, Fisheries, and Forestry (ABARES) Sector: Climate, Energy Topics: Analysis Tools ComplexityEase of Use: Advanced Website: www.daff.gov.au...

  20. NREL: Regional Energy Deployment System (ReEDS) Model - Unique...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Policies investigated include: clean energy strategies, renewable portfolio standards, carbon caps and taxes, environmentally-driven early coal retirements, and transmission siting ...

  1. Modeling options for Current Energy Convertor Systems and Associated...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Loading Blade Performance CFD FEA CAD Weight & Trim Cost of Energy Global ... order of seconds - smoothed outremoved in data set * Platformrotor dynamics are on the ...

  2. Benefits of Using Logic Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Benefits of Using Logic Modeling Benefits of Using Logic Modeling Benefits of developing and using logic models are: The model helps communicate the program to people outside the program in a concise and compelling way The model helps program staff to gain a common understanding of how the program works and their responsibilities to make it work Choosing a small set of performance indicators based upon a logic model: Keeps attention on all aspects of performance, balances the perturbations that

  3. IPGT Reservoir Modeling Working Group | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    IPGT Reservoir Modeling Working Group IPGT Reservoir Modeling Working Group Summary of recommendations and geothermal reservoir benchmarking workshop gtp2012peerreviewreservoirm...

  4. Financial and Cost Assessment Model (FICAM) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    and Cost Assessment Model (FICAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Financial and Cost Assessment Model (FICAM) AgencyCompany Organization: UNEP-Risoe...

  5. Category:Data and Modeling Techniques | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Data and Modeling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Data and Modeling Techniques page? For detailed...

  6. Numerical Modeling of PCCI Combustion | Department of Energy

    Energy.gov [DOE] (indexed site)

    More Documents & Publications Modeling of HCCI and PCCI Combustion Processes Bridging the Gap between Fundamental Physics and Chemistry and Applied Models for HCCI Engines ...

  7. Low Carbon Development: Planning & Modelling Course | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    & Modelling Course Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Low Carbon Development: Planning & Modelling Course AgencyCompany Organization: World Bank...

  8. Business Models Guide: Real Estate Agent | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Models Guide: Real Estate Agent Business Models Guide: Real Estate Agent With excellent marketing skills, a keen understanding of financing options, and a broad knowledge of the ...

  9. NREL Energy Models Examine the Potential for Wind and Solar Grid Integration (Fact Sheet)

    SciTech Connect

    Not Available

    2013-11-01

    As renewable energy generating sources, such as wind turbines and solar power systems, reach high levels of penetration in parts of the United States, the National Renewable Energy Laboratory (NREL) is helping the utility industry to peer into the future. Using software modeling tools that the lab developed, NREL is examining the future operation of the electrical grid as renewable energy continues to grow.

  10. Continuously Optimized Reliable Energy (CORE) Microgrid: Models & Tools (Fact Sheet)

    SciTech Connect

    Not Available

    2013-07-01

    This brochure describes Continuously Optimized Reliable Energy (CORE), a trademarked process NREL employs to produce conceptual microgrid designs. This systems-based process enables designs to be optimized for economic value, energy surety, and sustainability. Capabilities NREL offers in support of microgrid design are explained.

  11. ARRAY OPTIMIZATION FOR TIDAL ENERGY EXTRACTION IN A TIDAL CHANNEL A NUMERICAL MODELING ANALYSIS

    SciTech Connect

    Yang, Zhaoqing; Wang, Taiping; Copping, Andrea

    2014-04-18

    This paper presents an application of a hydrodynamic model to simulate tidal energy extraction in a tidal dominated estuary in the Pacific Northwest coast. A series of numerical experiments were carried out to simulate tidal energy extraction with different turbine array configurations, including location, spacing and array size. Preliminary model results suggest that array optimization for tidal energy extraction in a real-world site is a very complex process that requires consideration of multiple factors. Numerical models can be used effectively to assist turbine siting and array arrangement in a tidal turbine farm for tidal energy extraction.

  12. A/C Model Development and Validation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    A/C Model Development and Validation A/C Model Development and Validation 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting vss045_lustbader_2012_o.pdf (4.71 MB) More Documents & Publications A/C Model Development and Validation Vehicle Technologies Office Merit Review 2015: Vehicle Thermal Systems Modeling in Simulink LDV HVAC Model Development and Validation

  13. Building America Case Study: Community-Scale Energy Modeling (Fact Sheet), Whole-House Solutions for Existing Homes, Energy Efficiency and Renewable Energy Building Technologies Office (EERE)

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Community-Scale Energy Modeling Southeastern United States PROJECT INFORMATION Construction: Existing home Type: Single-family Builder: Not available Size: 1,100 ft 2 to 1,400 ft 2 Number of Homes: 1,166 Price Range: Not available Date completed: 1970s, 2000s Climate Zone: 3A, Hot-humid PERFORMANCE DATA Annual Energy Consumption: Average: 15,459 kWh Median: 15,252 kWh Standard Deviation: 4,163 kWh 2.5th Percentile: 7,469 kWh 97.5th Percentile: 24,001 kWh Community-scale energy modeling and

  14. Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration

    SciTech Connect

    Sun, Kaiyu; Yan , Da; Hong , Tianzhen; Guo, Siyue

    2014-02-28

    Overtime is a common phenomenon around the world. Overtime drives both internal heat gains from occupants, lighting and plug-loads, and HVAC operation during overtime periods. Overtime leads to longer occupancy hours and extended operation of building services systems beyond normal working hours, thus overtime impacts total building energy use. Current literature lacks methods to model overtime occupancy because overtime is stochastic in nature and varies by individual occupants and by time. To address this gap in the literature, this study aims to develop a new stochastic model based on the statistical analysis of measured overtime occupancy data from an office building. A binomial distribution is used to represent the total number of occupants working overtime, while an exponential distribution is used to represent the duration of overtime periods. The overtime model is used to generate overtime occupancy schedules as an input to the energy model of a second office building. The measured and simulated cooling energy use during the overtime period is compared in order to validate the overtime model. A hybrid approach to energy model calibration is proposed and tested, which combines ASHRAE Guideline 14 for the calibration of the energy model during normal working hours, and a proposed KS test for the calibration of the energy model during overtime. The developed stochastic overtime model and the hybrid calibration approach can be used in building energy simulations to improve the accuracy of results, and better understand the characteristics of overtime in office buildings.

  15. HIA 2015 DOE Zero Energy Ready Home Case Study: Charles Thomas Homes, Anna Model, Omaha, NE

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Thomas Homes Anna Model Omaha, NE DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in to give

  16. Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation E. Wood, E. Burton, A. Duran, and J. Gonder Technical Report NREL/TP-5400-61109 June 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No.

  17. Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency ...

  18. Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion ...

  19. Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion ...

  20. Best of both worlds: Team proposes novel energy storage model...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... "My standard line is, 'Don't call it a door - call it a high energy-density module,'" he said. "Because you can coat the inside of the car door with this directly on the metal ...

  1. Sensitivity of a Wave Energy Converter Dynamics Model to Nonlinear...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    surface in- tegral based method. NOMENCLATURE WEC Wave energy converter. T3R2 "Three-translation, two-rotation" WEC studied here. PCC Power-conversion-chain. PMT...

  2. Department of Energy Land Ice Modeling Efforts (Conference) ...

    Office of Scientific and Technical Information (OSTI)

    provided as a public service. Visit OSTI to utilize additional information resources in energy science and technology. A paper copy of this document is also available for sale to...

  3. NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)

    SciTech Connect

    Not Available

    2011-10-01

    The energy market is diversifying. In addition to traditional power sources, decision makers can choose among solar, wind, and geothermal technologies as well. Each of these technologies has complex performance characteristics and economics that vary with location and other project specifics, making it difficult to analyze the viability of such projects. But that analysis is easier now, thanks to the National Renewable Energy Laboratory (NREL).

  4. Integrated Model to Access the Global Environment | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    models like TIMER and FAIR. It also uses results from agroeconomic models like LEITAP or IMPACT. When to Use This Tool This tool is most useful for development impacts assessments...

  5. Commercial Buildings Sector Agent-Based Model | Open Energy Informatio...

    OpenEI (Open Energy Information) [EERE & EIA]

    OpenEI Keyword(s): EERE tool, Commercial Buildings Sector Agent-Based Model Language: English References: Building Efficiency: Development of an Agent-based Model of the US...

  6. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    SciTech Connect

    Dudley, Junqiao Han; Black, Doug; Apte, Mike; Piette, Mary Ann; Berkeley, Pam

    2010-05-14

    We have studied a low energy building on a campus of the University of California. It has efficient heating, ventilation, and air conditioning (HVAC) systems, consisting of a dual-fan/dual-duct variable air volume (VAV) system. As a major building on the campus, it was included in two demand response (DR) events in the summers of 2008 and 2009. With chilled water supplied by thermal energy storage in the central plant, cooling fans played a critical role during DR events. In this paper, an EnergyPlus model of the building was developed and calibrated. We compared both whole-building and HVAC fan energy consumption with model predictions to understand why demand savings in 2009 were much lower than in 2008. We also used model simulations of the study building to assess pre-cooling, a strategy that has been shown to improve demand saving and thermal comfort in many types of building. This study indicates a properly calibrated EnergyPlus model can reasonably predict demand savings from DR events and can be useful for designing or optimizing DR strategies.

  7. Hybrid Power System Simulation Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontenthybrid-power-system-simulation-model, Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This...

  8. Application of Generic Disposal System Models | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Application of Generic Disposal System Models Application of Generic Disposal System Models Two of the high priorities for UFDC disposal R&D are design concept development and disposal system modeling; these are directly addressed in the Generic Disposal Systems Analysis (GDSA) work. This report describes specific GDSA activities during fiscal year 2015 toward the development of the enhanced disposal system modeling and analysis capability for geologic disposal of nuclear waste. The GDSA

  9. PHEV Engine and Aftertreatment Model Development | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    and Aftertreatment Model Development PHEV Engine and Aftertreatment Model Development 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C. vss008_daw_2010_o.pdf (933.89 KB) More Documents & Publications PHEV Engine and Aftertreatment Model Development Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis Measurement and Characterization of Lean NOx Adsorber Regeneration and Desulfation and

  10. 3-D Model for Deactivation & Decommissioning | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    -D Model for Deactivation & Decommissioning 3-D Model for Deactivation & Decommissioning The design and production of 3-D scale models that replicate the highly contaminated structures within the nuclear facility would provide a significant improvement in visualization of the work space, which would give managers and supervisors a more powerful tool for planning and communicating safety issues and work sequences to personnel executing the physical D&D tasks. 3-D Model for

  11. Model for Energy Supply System Alternatives and their General...

    OpenEI (Open Energy Information) [EERE & EIA]

    Resource Type: Softwaremodeling tools Website: www-tc.iaea.orgtcwebabouttcstrategyThematicpdfpresentationsener References: Overview of IAEA PESS Models 1 "MESSAGE...

  12. H2A Delivery Models and Results | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Models and Results H2A Delivery Models and Results Presentation on hydrogen analysis delivery models and results prepared for DOE January 25 workshop. wkshp_storage_mintz.pdf (1.89 MB) More Documents & Publications Analysis of a Cluster Strategy for Near Term Hydrogen Infrastructure Rollout in Southern California H2A Delivery Scenario Model and Analyses Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002

  13. EBS Model Development and Evaluation Report | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EBS Model Development and Evaluation Report EBS Model Development and Evaluation Report Enginerred Barrier Systems (EBS) model evaluation and development is fundamental to the design and analysis of disposal concepts for generic repository systems within the Used Fuel Disposition R&D Campaign. This analysis is key to the advancement of design concept recommendations for the different host media under consideration. The use of high-fidelity modeling tools and methods along with an

  14. Modeling-Computer Simulations (Combs, Et Al., 1999) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations (Combs, Et Al., 1999) Exploration Activity Details Location Unspecified...

  15. Modeling-Computer Simulations (Ozkocak, 1985) | Open Energy Informatio...

    OpenEI (Open Energy Information) [EERE & EIA]

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations (Ozkocak, 1985) Exploration Activity Details Location Unspecified...

  16. Model Specification for LED Roadway Luminaires | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Resources » Model Specification for LED Roadway Luminaires Model Specification for LED Roadway Luminaires The DOE Municipal Solid-State Street Lighting Consortium's Model Specification for LED Roadway Luminaires enables cities, utilities, and other state and local agencies to assemble effective bid documents for LED street lighting products. The original version of the Model Specification for LED Roadway Luminaires (Version 1.0) was introduced in a November 2011 webcast. Version 2.0 of the

  17. Transport Modeling Working Group Meeting Reports | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling Working Group Meeting Reports Transport Modeling Working Group Meeting Reports View reports from meetings of the Transport Modeling Working Group, which meets twice per year to exchange information, create synergies, share experimental and computational results, and collaboratively develop methodologies for and understanding of transport phenomena in polymer electrolyte fuel cell stacks. Report of the 7th Meeting of the Transport Modeling Working Group, May 2014 (78.97 KB) Report of the

  18. Emerging Energy-Efficient Technologies in Buildings Technology Characterizations for Energy Modeling

    SciTech Connect

    Hadley, SW

    2004-10-11

    The energy use in America's commercial and residential building sectors is large and growing. Over 38 quadrillion Btus (Quads) of primary energy were consumed in 2002, representing 39% of total U.S. energy consumption. While the energy use in buildings is expected to grow to 52 Quads by 2025, a large number of energy-related technologies exist that could curtail this increase. In recent years, improvements in such items as high efficiency refrigerators, compact fluorescent lights, high-SEER air conditioners, and improved building shells have all contributed to reducing energy use. Hundreds of other technology improvements have and will continue to improve the energy use in buildings. While many technologies are well understood and are gradually penetrating the market, more advanced technologies will be introduced in the future. The pace and extent of these advances can be improved through state and federal R&D. This report focuses on the long-term potential for energy-efficiency improvement in buildings. Five promising technologies have been selected for description to give an idea of the wide range of possibilities. They address the major areas of energy use in buildings: space conditioning (33% of building use), water heating (9%), and lighting (16%). Besides describing energy-using technologies (solid-state lighting and geothermal heat pumps), the report also discusses energy-saving building shell improvements (smart roofs) and the integration of multiple energy service technologies (CHP packaged systems and triple function heat pumps) to create synergistic savings. Finally, information technologies that can improve the efficiency of building operations are discussed. The report demonstrates that the United States is not running out of technologies to improve energy efficiency and economic and environmental performance, and will not run out in the future. The five technology areas alone can potentially result in total primary energy savings of between 2 and 4

  19. Modeling In-stream Tidal Energy Extraction and Its Potential Environmental Impacts

    SciTech Connect

    Yang, Zhaoqing; Wang, Taiping; Copping, Andrea; Geerlofs, Simon H.

    2014-09-30

    In recent years, there has been growing interest in harnessing in-stream tidal energy in response to concerns of increasing energy demand and to mitigate climate change impacts. While many studies have been conducted to assess and map tidal energy resources, efforts for quantifying the associated potential environmental impacts have been limited. This paper presents the development of a tidal turbine module within a three-dimensional unstructured-grid coastal ocean model and its application for assessing the potential environmental impacts associated with tidal energy extraction. The model is used to investigate in-stream tidal energy extraction and associated impacts on estuarine hydrodynamic and biological processes in a tidally dominant estuary. A series of numerical experiments with varying numbers and configurations of turbines installed in an idealized estuary were carried out to assess the changes in the hydrodynamics and biological processes due to tidal energy extraction. Model results indicated that a large number of turbines are required to extract the maximum tidal energy and cause significant reduction of the volume flux. Preliminary model results also indicate that extraction of tidal energy increases vertical mixing and decreases flushing rate in a stratified estuary. The tidal turbine model was applied to simulate tidal energy extraction in Puget Sound, a large fjord-like estuary in the Pacific Northwest coast.

  20. Short-Term Energy Outlook Model Documentation: Carbon Dioxide (CO2) Emissions Model

    Reports and Publications

    2009-01-01

    Description of the procedures for estimating carbon dioxide emissions in the Short-Term Energy Outlook

  1. Complex-Energy Shell-Model Description of Alpha Decay

    SciTech Connect

    Id Betan, R.; Nazarewicz, Witold

    2011-01-01

    In his pioneering work of alpha decay, Gamow assumed that the alpha particle formed inside the nucleus tunnels through the barrier of the alpha-daughter potential. The corresponding metastable state can be viewed as a complex-energy solution of the time-independent Schroedinger equation with the outgoing boundary condition. The formation of the alpha cluster, missing in the original Gamow formulation, can be described within the R-matrix theory in terms of the formation amplitude. In this work, the alpha decay process is described by computing the formation amplitude and barrier penetrability in a large complex-energy configuration space spanned by the complex-energy eigenstates of the finite Woods-Saxon (WS) potential. The proper normalization of the decay channel is essential as it strongly modifies the alpha-decay spectroscopic factor. The test calculations are carried out for the ^{212}Po alpha decay.

  2. Beetle Kill Wall at NREL

    ScienceCinema

    None

    2013-05-29

    When it comes to designing an interior decorative feature for one of the most energy efficient office buildings in the world, very few would consider bringing in a beetle to do the job. But thats what happened at the U.S. Department of Energy's (DOE) Research Support Facility (RSF) located on the National Renewable Energy Laboratory (NREL) campus.In June, the RSF will become home to more than 800 workers from DOE and NREL and building visitors will be greeted with a soaring, two-story high wall entirely covered with wood harvested from the bark beetle infestation that has killed millions of pine trees in the Western U.S. But, the use of beetle kill wood is just one example of the resources being leveraged to make the RSF a model for sustainability and one more step toward NRELs goal to be a net zero energy campus.

  3. Beetle Kill Wall at NREL

    SciTech Connect

    2010-01-01

    When it comes to designing an interior decorative feature for one of the most energy efficient office buildings in the world, very few would consider bringing in a beetle to do the job. But thats what happened at the U.S. Department of Energy's (DOE) Research Support Facility (RSF) located on the National Renewable Energy Laboratory (NREL) campus.In June, the RSF will become home to more than 800 workers from DOE and NREL and building visitors will be greeted with a soaring, two-story high wall entirely covered with wood harvested from the bark beetle infestation that has killed millions of pine trees in the Western U.S. But, the use of beetle kill wood is just one example of the resources being leveraged to make the RSF a model for sustainability and one more step toward NRELs goal to be a net zero energy campus.

  4. CFD Modeling for Lost Foam White Side | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CFD Modeling for Lost Foam White Side CFD Modeling for Lost Foam White Side New Modeling Program Provides Higher Quality Lost Foam Molds The lost foam casting process produces clean, high-quality castings with close tolerances. The most important advantage is that no cores (with binders) are required. One challenge in lost foam casting is maintaining the uniformity and quality of the expandable polystyrene (EPS) pattern. This has often been the cause of defects in casting. An estimated 80% or

  5. CLEERS Aftertreatment Modeling and Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Aftertreatment Modeling and Analysis CLEERS Aftertreatment Modeling and Analysis 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting ace023_muntean_2012_o.pdf (2.96 MB) More Documents & Publications The Effects of Hydrothermal Agingon a Commercial Cu SCR Catalyst CLEERS Aftertreatment Modeling and Analysis Vehicle Technologies Office Merit Review 2016: Enhanced High and Low Temperature Performance of NOx Reduction

  6. Empirical Math Model: Ideal Gas Law | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Empirical Math Model: Ideal Gas Law Empirical Math Model: Ideal Gas Law January 29, 2013 - 9:54am Addthis What are the key facts? Empirical models are generally most useful in describing conditions close to the experiments used to develop or calibrate them. Predictive tools are essential to understanding phenomena that can not be described experimentally, like used fuel behavior over thousands of years in a repository. Predictability is measured by understanding errors where they are introduced

  7. Continuum Modeling of Membrane Properties | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Continuum Modeling of Membrane Properties Continuum Modeling of Membrane Properties Presentation at the DOE High Temperature Membrane Working Group Meeting, Oct. 14, 2010 high_temp_weber.pdf (1.4 MB) More Documents & Publications High Temperature Membrane Working Group Meeting Minutes Membrane Performance and Durability Overview for Automotive Fuel Cell Applications Experimental and Modeling Investigation of Radionuclide Interaction and Transport in Representative Geologic Media

  8. Vehicle Technologies Office: Modeling and Simulation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling, Testing, Data & Results » Vehicle Technologies Office: Modeling and Simulation Vehicle Technologies Office: Modeling and Simulation The Vehicle Technologies Office (VTO) partners with researchers at the national laboratories and industry to identify technologies and strategies needed to achieve the best combination of high fuel economy and low emissions. There are a large number of advanced powertrain configurations that could potentially provide these benefits. However, it is not

  9. NREL: Energy Analysis - The Resource Planning Model (RPM)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Bookmark and Share The Resource Planning Model (RPM) An image of a overlapping circles labelled Resource, Technical, Economic, and Market Potential that include the key assumptions for each segment on a bullet list inside it. Figure 1. Combined nodal and zonal structure of the Colorado-centric RPM Enlarge image The Resource Planning Model (RPM) is a capacity expansion model designed for a regional power system, such as a utility service territory, state, or balancing authority. RPM applies

  10. Existing Whole-House Solutions Case Study: Community-Scale Energy Modeling - Southeastern United States

    SciTech Connect

    2014-12-01

    Community-scale energy modeling and testing are useful for determining energy conservation measures that will effectively reduce energy use. To that end, IBACOS analyzed pre-retrofit daily utility data to sort homes by energy consumption, allowing for better targeting of homes for physical audits. Following ASHRAE Guideline 14 normalization procedures, electricity consumption of 1,166 all-electric, production-built homes was modeled. The homes were in two communities: one built in the 1970s and the other in the mid-2000s.

  11. NREL: Energy Analysis - dGen: Distributed Generation Market Demand Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Distributed Generation Market Demand (dGen) model is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050. The dGen model builds on and provides significant advances over NREL's deprecated Solar Deployment System (SolarDS) model. The dGen model can help develop deployment forecasts for distributed resources,

  12. Numerical Modeling At Coso Geothermal Area (2006) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    transport and exchange analysis Notes Finite element models of single-phase, variable-density fluid flow, conductive- convective heat transfer, fluid-rock isotope exchange, and...

  13. Global Trade and Analysis Project (GTAP) Model | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    standard model. In addition, GTAP-E incorporates carbon emissions from the combustion of fossil fuels and provides for a mechanism to trade these emissions internationally. When...

  14. ENV-Linkages-KEI Model | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Moderate Related Tools CRED: A New Model of Climate and Development Manual for Social Impact Assessment of Land-Based Carbon Projects TEEMP ... further results A recursive...

  15. Numerical Modeling At Coso Geothermal Area (2010) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    model was developed using Poly3D to simulate the distribution and magnitude of stress concentration in the vicinity of the borehole floor, and determine the conditions...

  16. Modeling-Computer Simulations (Walker, Et Al., 2005) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    occurrence model for geothermal systems based on fundamental geologic data. References J. D. Walker, A. E. Sabin, J. R. Unruh, J. Combs, F. C. Monastero (2005) Development Of...

  17. PNNL-MILAGRO Aerosol Modeling in Mexico | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Modeling in Mexico1 "MILGARO surface data includes measurements from Supersites, RAMA (Red Automatica de Monitoreo Atmosferico), Mobile, and Other sites. A description of each...

  18. Property:Buildings/ModelBuildingType | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Religious Worship Service Warehouse and Storage Other Vacant Pages using the property "BuildingsModelBuildingType" Showing 12 pages using this property. G General Merchandise...

  19. Sandia Energy - Results from the Human Resilience Index and Modeling...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Results from the Human Resilience Index and Modeling project were reported recently in the National Intelligence Council's Global Trends 2030 Report Home Infrastructure Security...

  20. Numerical Modeling At Coso Geothermal Area (1995) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    transform is employed to characterize guided-wave's velocity-frequency dispersion, and numerical methods are used to simulate the guided-wave propagation. The modeling...