National Library of Energy BETA

Sample records for analysis energy estimates

  1. Cost and Schedule Estimate and Analysis | Department of Energy

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

    Cost and Schedule Estimate and Analysis Cost and Schedule Estimate and Analysis October 31, 2016 9:00AM EDT to November 4, 2016 5:00PM EDT Cost and Schedule Estimate and Analysis; Classroom Training; 5 days/40 CLPs; Lexington, KY; October 31 - November 4, 2016 Level 2 Core Course 5 days / 40 CLPs PMCDP is offering instructor-led deliveries of the 5-day course, Cost and Schedule Estimate and Analysis, October 31 - November 4, 2016, Lexington, KY. This course provides participants with a

  2. State Energy Production Estimates

    Annual Energy Outlook

    Production Estimates 1960 Through 2014 2014 Summary Tables U.S. Energy Information Administration | State Energy Data 2014: Production 1 Table P1. Energy Production Estimates in ...

  3. State Energy Production Estimates

    U.S. Energy Information Administration (EIA) (indexed site)

    Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052 351,259...

  4. Hawaii Clean Energy Initiative (HCEI) Scenario Analysis: Quantitative Estimates Used to Facilitate Working Group Discussions (2008-2010)

    SciTech Connect (OSTI)

    Braccio, R.; Finch, P.; Frazier, R.

    2012-03-01

    This report provides details on the Hawaii Clean Energy Initiative (HCEI) Scenario Analysis to identify potential policy options and evaluate their impact on reaching the 70% HECI goal, present possible pathways to attain the goal based on currently available technology, with an eye to initiatives under way in Hawaii, and provide an 'order-of-magnitude' cost estimate and a jump-start to action that would be adjusted with a better understanding of the technologies and market.

  5. Estimating Renewable Energy Costs

    Office of Energy Efficiency and Renewable Energy (EERE)

    Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically...

  6. 2007 Estimated International Energy Flows

    SciTech Connect (OSTI)

    Smith, C A; Belles, R D; Simon, A J

    2011-03-10

    An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

  7. Derived Annual Estimates of Manufacturing Energy Consumption...

    U.S. Energy Information Administration (EIA) (indexed site)

    > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This...

  8. Energy Analysis | Department of Energy

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

    Services » Energy Analysis Energy Analysis Photo courtesy of Dennis Schroeder, NREL 24348 Photo courtesy of Dennis Schroeder, NREL 24348 Energy analysis informs EERE decision-making by delivering analytical products in four main areas: Data Resources, Market Intelligence, Energy Systems Analysis, and Portfolio Impacts Analysis. The Energy Analysis website is designed to help energy experts and policymakers access energy analysis resources related to renewable energy and energy efficiency. It

  9. Cost Estimating, Analysis, and Standardization

    Directives, Delegations, and Requirements [Office of Management (MA)]

    1984-11-02

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  10. State Energy Price and Expenditure Estimates

    Reports and Publications

    2016-01-01

    Energy price and expenditure estimates in dollars per million Btu and in million dollars, by state, 1970-2014.

  11. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  12. Estimating the Energy, Demand and Cost Savings from a Geothermal Heat Pump ESPC Project at Fort Polk, LA Through Utility Bill Analysis.

    SciTech Connect (OSTI)

    Shonder, John A; Hughes, Patrick

    2006-01-01

    Energy savings performance contracts (ESPCs) are a method of financing energy conservation projects using the energy cost savings generated by the conservation measures themselves. Ideally, reduced energy costs are visible as reduced utility bills, but in fact this is not always the case. On large military bases, for example, a single electric meter typically covers hundreds of individual buildings. Savings from an ESPC involving only a small number of these buildings will have little effect on the overall utility bill. In fact, changes in mission, occupancy, and energy prices could cause substantial increases in utility bills. For this reason, other, more practical, methods have been developed to measure and verify savings in ESPC projects. Nevertheless, increasing utility bills--when ESPCs are expected to be reducing them--are problematic and can lead some observers to question whether savings are actually being achieved. In this paper, the authors use utility bill analysis to determine energy, demand, and cost savings from an ESPC project that installed geothermal heat pumps in the family housing areas of the military base at Fort Polk, Louisiana. The savings estimates for the first year after the retrofits were found to be in substantial agreement with previous estimates that were based on submetered data. However, the utility bills also show that electrical use tended to increase as time went on. Since other data show that the energy use in family housing has remained about the same over the period, the authors conclude that the savings from the ESPC have persisted, and increases in electrical use must be due to loads unassociated with family housing. This shows that under certain circumstances, and with the proper analysis, utility bills can be used to estimate savings from ESPC projects. However, these circumstances are rare and over time the comparison may be invalidated by increases in energy use in areas unaffected by the ESPC.

  13. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  14. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  15. System and Method for Vehicle Energy Estimation, Adaptive Control and

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

    Routing - Energy Innovation Portal Vehicles and Fuels Vehicles and Fuels Energy Analysis Energy Analysis Find More Like This Return to Search System and Method for Vehicle Energy Estimation, Adaptive Control and Routing National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary In the fields of vehicle telematics and navigation, there are algorithms for recommending potential travel routes from a given origin to a desired destination. Such potential

  16. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  17. Estimating Appliance and Home Electronic Energy Use | Department of Energy

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

    Electricity & Fuel » Appliances & Electronics » Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Our appliance and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual wattage of products varies depending on product age and features. Enter a wattage value for your own product for the most accurate estimate. Wattage

  18. NREL: Energy Analysis - Tyler Stehly

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

    Tyler Stehly Photo of Tyler Stehly. Tyler Stehly is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Engineering Wind Technology Analyst On staff since 2012 Phone number: 303-384-7190 E-mail: Tyler.Stehly@nrel.gov Areas of expertise Energy economic models Wind energy systems Cost of energy analysis Project cost estimation Technical report writing Primary research interests Wind technologies Renewable energy systems Mechanisms and

  19. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  20. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  1. NREL: Energy Analysis - Greg Brinkman

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

    Greg Brinkman Photo of Greg Brinkman Greg Brinkman is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Analysis Engineer On staff since May 2009 Phone number: 303-384-7390 E-mail: gregory.brinkman@nrel.gov Areas of expertise Unit commitment and dispatch modeling of electric power systems Emission estimation from electric power systems Air quality modeling Primary research interests Integration of renewable energy, energy efficiency, and

  2. Retrofit Energy Savings Estimation Model | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

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

  3. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  4. Energy Analysis

    Education Teach & Learn

    Students use graphs of historical data and research historical and societal events to determine and analyze energy trends in the United States over the past 50 years.

  5. NREL: Energy Analysis - Janine Freeman

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

    Janine Freeman Photo of Janine Freeman Janine Freeman is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy System Modeling Engineer On staff since March 2013 Phone number: 303-275-4694 E-mail: janine.freeman@nrel.gov Areas of expertise Solar instrumentation PV energy production modeling Solar resource estimates Vertical axis wind turbine analysis/wind tunnel experimentation PVsyst CAD modeling Campbell Scientific LoggerNet Matlab Primary

  6. Energy Savings Estimates of Light Emitting Diodes

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report is an analysis of niche markets and applications for light emitting diodes (LEDs), undertaken on behalf of the U.S. Department of Energy

  7. DOE Zero Energy Ready Home Savings and Cost Estimate Summary...

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

    Savings and Cost Estimate Summary DOE Zero Energy Ready Home Savings and Cost Estimate Summary The U.S. Department of Energy Zero Energy Ready Home Savings and Cost Estimate ...

  8. NREL: Energy Analysis - Energy Sciences Technology Analysis

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

    Energy Sciences Technology Analysis To help meet the nation's needs for clean energy, inexpensive alternative fuels, and a healthy environment, researchers in NREL's Energy Sciences are improving our understanding of the science behind renewable energy and energy-efficient technologies. These technologies include photovoltaics (solar cells), fuels and energy systems made from biomass (plants and waste products) and hydrogen, and advanced energy storage and transmission systems. In this work, our

  9. Estimated United States Transportation Energy Use 2005

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-11-09

    A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

  10. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop -...

  11. Estimating the Impact (Energy, Emissions and Economics) of the...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry Citation Details In-Document Search Title: Estimating the Impact (Energy, ...

  12. Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis.

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

    January 22, 2002-July 22, 2002 | Department of Energy Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 A report showing a comparative scooping economic analysis of 19 pathways for producing, handling, distributing, and dispensing hydrogen for fuel cell vehicle applications. 32525.pdf (1.48 MB) More Documents & Publications Analysis of a Cluster

  13. NREL: Energy Analysis - Market Analysis

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

    Market Analysis The laboratory's market analysis helps increase the use of renewable energy (RE) and energy efficiency (EE) technologies in the marketplace by providing strategic information to stakeholders interested in rapidly changing electricity markets. Our high-quality and objective crosscutting assessments and analysis support informed decision making. Primary focuses include: Energy Technology/Program Cost, Performance, and Market Data The Office of Energy Efficiency and Renewable Energy

  14. Residential Building Energy Analysis

    Energy Science and Technology Software Center (OSTI)

    1990-09-01

    PEAR (Program for Energy Analysis of Residences) provides an easy-to-use and accurate method of estimating the energy and cost savings associated with various energy conservation measures in site-built single-family homes. Measures such as ceiling, wall, and floor insulation; different window type and glazing layers; infiltration levels; and equipment efficiency can be considered. PEAR also allows the user to consider the effects of roof and wall color, movable night insulation on the windows, reflective and heatmore » absorbing glass, an attached sunspace, and use of a night temperature setback. Regression techniques permit adjustments for different building geometries, window areas and orientations, wall construction, and extension of the data to 880 U.S. locations determined by climate parameters. Based on annual energy savings, user-specified costs of conservation measures, fuel, lifetime of measure, loan period, and fuel escalation and interest rates, PEAR calculates two economic indicators; the Simple Payback Period (SPP) and the Savings-to-Investment Ratio (SIR). Energy and cost savings of different sets of conservation measures can be compared in a single run. The program can be used both as a research tool by energy policy analysts and as a method for nontechnical energy calculation by architects, home builders, home owners, and others in the building industry.« less

  15. NREL: Energy Analysis - Maureen Hand

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

    Maureen Hand Photo of Maureen Hand. Maureen Hand is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Senior Engineer On staff since 1995 Phone number: 303-384-6933 E-mail: maureen.hand@nrel.gov Areas of expertise Active control systems for utility-scale wind turbines Advanced control systems Numerical modeling and control system design Assessing future wind technology cost and performance estimates Survey methods for estimating the

  16. NREL: Energy Analysis - David Keyser

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

    Keyser Photo of David Keyser David Keyser is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Research Analyst On staff since May 2012 Phone number: 303-275-3201 E-mail: david.keyser@nrel.gov Areas of expertise Economic impact studies Time series analysis Analysis of labor and demographic data Primary research interests Static and dynamic economic impact models Labor data estimation Econometric modeling and forecasting Regional economics Education

  17. NREL: Energy Analysis - Sustainability Analysis

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

    Sustainability Analysis The laboratory's Sustainability Analysis looks at the environmental, life-cycle, climate, and other impacts of renewable energy technologies. Our energy choices have global implications that affect greenhouse gas emissions, water resource distribution, mineral consumption, and equipment manufacturing and transportation. The school of thought is that renewable energy technologies are more sustainable than many current sources of energy. However, we need to verify that this

  18. NREL: Energy Analysis: Geospatial Analysis

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

    Geospatial Analysis To perform and support geospatial analysis, NREL analyzes, maintains, and disseminates data sets and maps on renewable energy resources, energy infrastructure, demographics and land ownership, and the earth's physical geography (topography, land use, rivers). NREL's geographic information system models enable rapid visualization of these data, support informed decisions on renewable energy development across the globe, and provide the foundation for many of NREL's analytical

  19. NREL: Energy Analysis - Policy Analysis

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

    Policy Analysis The laboratory's policy analysis evaluates policies that can advance-or provide alternatives to-renewable energy technologies in meeting national goals. Federal Policy NREL's federal policy team analyzes existing and proposed legislation and policy related to clean energy on a federal level. The team focuses much of its effort on pro-active analysis that is under consideration by Congress or the administration. The team provides objective information that may be helpful for

  20. Energy savings estimates and cost benefit calculations for high...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings ...

  1. Estimating the Benefits and Costs of Distributed Energy Technologies...

    Office of Environmental Management (EM)

    Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and ...

  2. Estimating Appliance and Home Electronic Energy Use | Department...

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

    and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual...

  3. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting...

    Energy.gov (indexed) [DOE]

    Estimates of Light Emitting Diodes in Niche Lighting Applications Prepared for: Building Technologies Program Office of Energy Efficiency and Renewable Energy U.S. Department of ...

  4. NREL: Energy Analysis - Staff

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

    Staff National Renewable Energy Laboratory (NREL) analysts have capabilities that span a wide range of renewable energy technologies. This site will help you learn more about the crosscutting analysis capabilities, energy-modeling background, and technology expertise of analysts in our Strategic Energy Analysis Center (SEAC). Strategic Planning and Direction Center Director: David Mooney Business Development: Debbie Brodt-Giles Integrated Energy System Model: Mark Ruth Synthesis and Integration:

  5. Estimating the Benefits and Costs of Distributed Energy Technologies

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

    Workshop - Agenda and Summary | Department of Energy DOE Grid Tech Team » Activities/Outreach » GTT Activities » Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on "Estimating the Benefits and Costs of Distributed Energy Technologies." The purpose

  6. NREL: Energy Analysis - Annika Eberle

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

    Annika Eberle Photo of Annika Eberle Annika Eberle is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Postdoctoral Researcher On staff since October 2015 Phone number: 303-384-6932 E-mail: annika.eberle@nrel.gov Areas of expertise Estimating air pollutant emissions generated during biofuel feedstock production Developing computational models of biological systems Performing sustainability audits of university campuses Primary research

  7. NREL: Energy Analysis - Manufacturing Analysis

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

    Recent Publications "Economic Measurements of Polysilicon for the Photovoltaic Industry: Market Competition and Manufacturing Competitiveness" IEEE Journal of Photovoltaics Supply Chain and Blade Manufacturing Considerations in the Global Wind Industry Economic Development Impact of 1,000 MW of Wind Energy in Texas Manufacturing Analysis With world-class manufacturing analysis capabilities, NREL analyzes clean energy industry trends; cost, price, and performance trends; market and

  8. Sandia Energy - Analysis

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

    Climate Change Is the Subject of a New Book Analysis, Climate, Global Climate & Energy, Monitoring, News, News & Events, Sensing, Sensing & Monitoring, Water Security Climate...

  9. Energy Analysis by Sector | Department of Energy

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

    Information Resources » Energy Analysis by Sector Energy Analysis by Sector Manufacturers often rely on energy-intensive technologies and processes. AMO conducts a range of analyses to explore energy use and trends by sector. Manufacturing Energy and Carbon Footprints Static Manufacturing Energy Sankey Diagrams Dynamic Manufacturing Energy Sankey Tool Energy & Environmental Profiles Bandwidth Studies Large Energy User Manufacturing Facilities by State MANUFACTURING ENERGY and carbon

  10. Energy Sector Market Analysis

    SciTech Connect (OSTI)

    Arent, D.; Benioff, R.; Mosey, G.; Bird, L.; Brown, J.; Brown, E.; Vimmerstedt, L.; Aabakken, J.; Parks, K.; Lapsa, M.; Davis, S.; Olszewski, M.; Cox, D.; McElhaney, K.; Hadley, S.; Hostick, D.; Nicholls, A.; McDonald, S.; Holloman, B.

    2006-10-01

    This paper presents the results of energy market analysis sponsored by the Department of Energy's (DOE) Weatherization and International Program (WIP) within the Office of Energy Efficiency and Renewable Energy (EERE). The analysis was conducted by a team of DOE laboratory experts from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL), and Pacific Northwest National Laboratory (PNNL), with additional input from Lawrence Berkeley National Laboratory (LBNL). The analysis was structured to identify those markets and niches where government can create the biggest impact by informing management decisions in the private and public sectors. The analysis identifies those markets and niches where opportunities exist for increasing energy efficiency and renewable energy use.

  11. Building energy analysis tool

    DOE Patents [OSTI]

    Brackney, Larry; Parker, Andrew; Long, Nicholas; Metzger, Ian; Dean, Jesse; Lisell, Lars

    2016-04-12

    A building energy analysis system includes a building component library configured to store a plurality of building components, a modeling tool configured to access the building component library and create a building model of a building under analysis using building spatial data and using selected building components of the plurality of building components stored in the building component library, a building analysis engine configured to operate the building model and generate a baseline energy model of the building under analysis and further configured to apply one or more energy conservation measures to the baseline energy model in order to generate one or more corresponding optimized energy models, and a recommendation tool configured to assess the one or more optimized energy models against the baseline energy model and generate recommendations for substitute building components or modifications.

  12. Estimates of State Energy-Related Carbon Dioxide Emissions

    U.S. Energy Information Administration (EIA) (indexed site)

    November 2016 Estimates of State Energy-Related Carbon Dioxide Emissions Because energy-related carbon dioxide (CO2) constitutes over 80% of total emissions, the state energy- related CO2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO2 are based on data contained in the State Energy Data System (SEDS). 1 The

  13. Cost and Schedule Estimate and Analysis (FPM 207), Amarillo ...

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

    Course topics include: identifying cost and schedule estimates; Basic estimating methods; Group analysis techniques; Applying life-cycle costing technique; Validating estimates; ...

  14. NREL: Energy Analysis - News

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

    Bookmark and Share News The Decision Insight and Market Impacts newsletter highlights the lab's analysts and analysis activities in renewable energy and energy efficiency technologies are having an impact on U.S. energy goals. The newsletter features recent publications and websites, updates to our models and tools, and staff activities. You can subscribe to receive the newsletter monthly by email. March 2016 NREL is the nation's leader in clean energy technologies, practices, and strategies.

  15. Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy

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

    Policy Options for the Hawaii Clean Energy Initiative | Department of Energy Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy Initiative Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy Initiative This report provides detailed analyses of the following policies to determine the impact they may have on ratepayers, businesses, and the state in terms of energy

  16. NREL: Energy Analysis - Energy Analysis Newsletter

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

    Decision Insight and Market Impacts Newsletter Unsubscribe Please enter your email address to unsubscribe from the Decision Insight and Market Impacts Newsletter. Complete E-mail Address: Unsubscribe If you have any questions about this online subscription service, please contact us. Printable Version Energy Analysis Home Capabilities & Expertise Key Activities Models & Tools Data & Resources Publications Partnerships Staff Working with Us Related Links News Did you find what you

  17. Interruption Cost Estimate Calculator | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are...

  18. Estimating the Benefits and Costs of Distributed Energy Technologies...

    Energy.gov (indexed) [DOE]

    PDF icon Presentation - Robert Jeffers, Sandia PDF icon Presentation - Carl Imhoff, PNNL More Documents & Publications Estimating the Benefits and Costs of Distributed Energy ...

  19. Estimates of U.S. Biomass Energy Consumption 1992

    Reports and Publications

    1994-01-01

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass derived primary energy used by the U.S. economy. It presents estimates of 1991 and 1992 consumption.

  20. Estimating Appliance and Home Electronic Energy Use | Department...

    Energy.gov (indexed) [DOE]

    Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo...

  1. NREL: Energy Analysis - About the Strategic Energy Analysis Center

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

    Energy Analysis Printable Version About the Strategic Energy Analysis Center (SEAC) Examples of NREL Analysis Impacts Resource Assessment Electric Sector Integration Jobs and Economic Competitiveness Life Cycle Assessment Harmonization Analysis of Project Finance What is the SEAC? NREL and the Strategic Energy Analysis Center (SEAC) conduct a broad range of energy analysis in support of NREL programs and initiatives, DOE's Office of Energy Efficiency and Renewable Energy (EERE), technology

  2. Energy Market Analysis | Department of Energy

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

    Energy Market Analysis Energy Market Analysis Energy Market Analysis synthesizes all analysis efforts in the analysis spectrum. Scenario analyses, in the context of market analysis, are used to answer several questions: What are the feasible options for developing a future in which hydrogen plays a role? What are the impacts, costs, and financial risks of the various scenarios for transitioning to the hydrogen future? Which technologies are most likely to be a part of the hydrogen future, and

  3. CHP Emissions Reduction Estimator | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Softwaremodeling tools User Interface:...

  4. International Clean Energy Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Analysis (ICEA) gateway promotes increased access to clean energy analysis tools, databases, methods and other technical resources which can be applied in developing countries....

  5. Estimating Motor Efficiency in the Field | Department of Energy

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

    Estimating Motor Efficiency in the Field Estimating Motor Efficiency in the Field Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency. Motor

  6. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-03-02

    DOE2.1E-121SUNOS is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS).« less

  7. Clean Energy Policy Analysis: Impact Analysis of Potential Clean...

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

    Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy Initiative Clean Energy Policy Analysis: Impact Analysis of ...

  8. NREL: Energy Analysis - Key Activities

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

    Key Activities NREL conducts a broad range of energy analysis in support of the laboratory's programs and initiatives, DOE's Office of Energy Efficiency and Renewable Energy (EERE), technology transfer, and the greater energy analysis community. NREL's recent analysis activities include: Analysis of Project Finance Electric Sector Integration Energy-Water Nexus Life Cycle Assessment Harmonization Manufacturing Analysis Resource Assessment POWER-UP Study North American Renewable Integration Study

  9. 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...

  10. Analysis Methodologies | Department of Energy

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

    Systems Analysis » Analysis Methodologies Analysis Methodologies A spectrum of analysis methodologies are used in combination to provide a sound understanding of hydrogen and fuel cell systems and developing markets, as follows: Resource Analysis Technological Feasibility and Cost Analysis Environmental Analysis Delivery Analysis Infrastructure Development and Financial Analysis Energy Market Analysis In general, each methodology builds on previous efforts to quantify the benefits, drawbacks,

  11. NREL Releases Estimate of National Offshore Wind Energy Potential - News

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

    Releases | NREL Releases Estimate of National Offshore Wind Energy Potential September 10, 2010 The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) announces the release of a new report that assesses the electricity generating potential of offshore wind resources in the United States. According to the Assessment of Offshore Wind Energy Resources for the United States, 4,150 gigawatts of potential wind turbine nameplate capacity (maximum turbine capacity) from offshore

  12. Derived annual estimates of manufacturing energy consumption, 1974--1988

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, ``purchased`` energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census`s Annual Survey of Manufactures (ASM) and EIA`s Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as ``offsite-produced fuels.``

  13. U.S. Uranium Reserves Estimates - Energy Information Administration

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

    all Nuclear Reports U.S. Uranium Reserves Estimates Data for: 2008 | Release Date: July 2010 | Next Release Date: Discontinued The U.S. Energy Information Administration (EIA) has...

  14. Uncertainty Estimation Improves Energy Measurement and Verification Procedures

    SciTech Connect (OSTI)

    Walter, Travis; Price, Phillip N.; Sohn, Michael D.

    2014-05-14

    Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

  15. FY 2000 Buildings Energy Savings Estimates under Uncertainty: Developing Approaches for Incorporating Risk into Buildings Program Energy Efficiency Estimates

    SciTech Connect (OSTI)

    Anderson, Dave M.

    2002-11-18

    This report is one of two that re-examines the forecasted impact of individual programs currently within the Buildings Technology Program (BT) and the Weatherization and Intergovernmental Program (WIP) that appeared in the FY2000 Presidential Budget request. This report develops potential methods for allowing inherent risk to be captured in the program benefits analysis. Note that the FY2000 budget request was originally analyzed under the former Office of Building Technology, State and Community Programs (BTS), where BT and WIP were previously combined. Throughout the document, reference will be made to the predecessor of the BT and WIP programs, BTS, as FY2000 reflected that organization. A companion report outlines the effects of re-estimating the FY 2000 budget request based on overlaying program data from subsequent years, essentially revised out-year forecasts. That report shows that year-to-year long-term projections of primary energy savings can vary widely as models improve and programs change. Those point estimates are not influenced by uncertainty or risk. This report develops potential methods for allowing inherent risk to affect the benefits analysis via Monte Carlo simulation.

  16. NREL: Energy Analysis - Transportation Energy Futures Project

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

    graphic_tef_icon Transportation Energy Futures Project The Transportation Energy Futures (TEF) project examines underexplored greenhouse gas-abatement and oil-savings opportunities by consolidating transportation energy knowledge, conducting advanced analysis, and exploring additional opportunities for sound strategic action. Led by NREL, in collaboration with Argonne National Laboratory, the project's primary goal is to provide analysis to accompany the U.S. Department of Energy Office of

  17. Current work in energy analysis

    SciTech Connect (OSTI)

    1998-03-01

    This report describes the work performed at Berkeley Lab most recently. One of the Labs accomplishments is the publication of Scenarios of US Carbon Reductions, an analysis of the potential of energy technologies to reduce carbon emissions in the US. This analysis is described and played a key role in shaping the US position on climate change in the Kyoto Protocol negotiations. The Labs participation in the fundamental characterization of the climate change issue by the IPCC is described. Described also is a study of leaking electricity, which is stimulating an international campaign for a one-watt ceiling for standby electricity losses from appliances. This ceiling has the potential to save two-thirds of the 5% of US residential electricity currently expended on standby losses. The 54 vignettes contained in the report summarize results of research activities ranging in scale from calculating the efficacy of individual lamp ballasts to estimating the cost-effectiveness of the national Energy Star{reg_sign} labeling program, and ranging in location from a scoping study of energy-efficiency market transformation in California to development of an energy-efficiency project in the auto parts industry in Shandong Province, China.

  18. NREL: Energy Analysis - Carolyn Davidson

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

    Carolyn Davidson Photo of Carolyn Davidson Carolyn Davidson is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Economic Analyst On...

  19. NREL: Energy Analysis - Mark Ruth

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

    Mark Ruth Photo of Mark Ruth. Mark Ruth is the principal project lead of the Strategic Energy Analysis Center. Principal Project Lead - Integrated Energy System Model On staff...

  20. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-01-24

    DOE2.1E-121 is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS). DOE2.1E-121 contains modifications to DOE2.1E which allows 1000 zones to be modeled.« less

  1. Home Energy Score: Analysis & Improvements to Date

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

    Home Energy Score: � Analysis & Improvements to Date � Joan Glickman Senior Advisor/Program Manager U.S. Department of Energy July 24, 2012 1 eere.energy.gov Presentation Overview 1) Background 2) Program Improvements 3) Analysis: Efficacy of Tool & Program - Asset Perturbations - Behavior Perturbations - Estimated Energy Use vs. Actual Energy Use (from utility bills) - Time Required for Assessment and Scoring - Blower Door Test Analysis 4) Next Steps & Ongoing Analysis 2

  2. NREL: Energy Analysis - Webmaster

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

    Webmaster Please enter your name and email address in the boxes provided, then type your message below. When you are finished, click "Send Message." NOTE: If you enter your e-mail address incorrectly, we will be unable to reply. Your name: Your email address: Your message: Send Message Printable Version Energy Analysis Home Capabilities & Expertise Key Activities Models & Tools Data & Resources Publications Partnerships Staff Working with Us Related Links News Did you find

  3. NREL: Energy Analysis - Jenny Heeter

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

    Jenny Heeter Photo of Jenny Heeter Jenny Heeter is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Senior Energy Analyst On staff since August 2009 Phone number: 303-275-4366 E-mail: jenny.heeter@nrel.gov Areas of expertise Market analysis Policy analysis Utility regulation and analysis Primary research interests Voluntary green power market Renewable energy certificate markets and pricing Solar renewable energy certificate markets Renewable

  4. NREL: Energy Analysis - Liz Torres

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

    and Visualization Group Energy Forecasting and Modeling Group Market and Policy Impact Analysis Group Technology Systems and Sustainability Analysis Group Washington D.C....

  5. NREL: Energy Analysis - Heidi Pawlowski

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

    and Visualization Group Energy Forecasting and Modeling Group Market and Policy Impact Analysis Group Technology Systems and Sustainability Analysis Group Washington D.C....

  6. NREL: Energy Analysis - Melissa Hudman

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

    and Visualization Group Energy Forecasting and Modeling Group Market and Policy Impact Analysis Group Technology Systems and Sustainability Analysis Group Washington D.C....

  7. NREL: Energy Analysis - Michael Bahl

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

    and Visualization Group Energy Forecasting and Modeling Group Market and Policy Impact Analysis Group Technology Systems and Sustainability Analysis Group Washington D.C....

  8. NREL: Energy Analysis - Daniel Getman

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

    Daniel Getman Photo of Daniel Getman. Daniel Getman is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Geospatial Data Science Team...

  9. NREL: Energy Analysis - Jaquelin Cochran

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

    Jaquelin Cochran Photo of Jaquelin Cochran Jaquelin Cochran is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Senior Energy Analyst - Supervisor On staff since June 2009 Phone number: 303-275-3766 E-mail: jaquelin.cochran@nrel.gov Areas of expertise Grid integration of renewable energy, demand response Natural gas and renewable energy International energy efficiency Energy and development Primary research interests Policy and market analyses in

  10. NREL: Energy Analysis - Paul Denholm

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

    Denholm Photo of Paul Denholm Paul Denholm is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Senior Analyst On staff since October 2004 Phone number: 303-384-7488 E-mail: paul.denholm@nrel.gov Areas of expertise Modeling of electric power systems, including interaction of renewable and conventional energy technologies Analysis of energy storage including thermal energy storage Primary research interests Effects of large-scale renewable energy

  11. NREL: Energy Analysis - Travis Lowder

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

    Travis Lowder Photo of Travis Lowder Travis Lowder is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Energy Analyst On staff since 2012 Phone number: 303-275-3182 E-mail: travis.lowder@nrel.gov Areas of expertise Renewable energy project finance PV risk management Renewable energy financial policy Primary research interests Solar securitization Renewable energy capital market finance Energy and human development Education and background training

  12. Community Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    1992-02-21

    The TDIST3 program performs an analysis of large integrated community total energy systems (TES) supplying thermal and electrical energy from one or more power stations. The program models the time-dependent energy demands of a group of representative building types, distributes the thermal demands within a thermal utility system (TUS), simulates the dynamic response of a group of power stations in meeting the TUS demands, and designs an optimal base-loaded (electrically) power plant and thermal energymore » storage reservoir combination. The capital cost of the TES is evaluated. The program was developed primarily to analyze thermal utility systems supplied with high temperature water (HTW) from more than one power plant. The TUS consists of a transmission loop and secondary loops with a heat exchanger linking each secondary loop to the transmission loop. The power stations electrical output supplies all community buildings and the HTW supplies the thermal demand of the buildings connected through the TUS, a piping network. Basic components of the TES model are one or more power stations connected to the transmission loop. These may be dual-purpose, producing electricity and HTW, or just heating plants producing HTW. A thermal storage reservoir is located at one power station. The secondary loops may have heating plants connected to them. The transmission loop delivers HTW to local districts; the secondary loops deliver the energy to the individual buildings in a district.« less

  13. NREL: Energy Analysis - Ben Sigrin

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

    ... Personal interestshobbies Skiing, hiking, acoustic guitar Printable Version Energy Analysis Home Capabilities & Expertise Key Activities Models & Tools Data & Resources ...

  14. Strategic Energy Analysis and Planning

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

    SEAP August 18, 2015 Tribal Leader Forum Series U.S. Department of Energy Oil & Gas Technical Assistance Capabilities Strategic Energy Analysis and Planning BLUE OPTION White space is filled with one or more photos 2 National Energy Technology Laboratory OUTLINE * Strategic Energy Analysis and Planning * Natural Gas Supply and Demand * Tribal Areas and Natural Gas Reserves * SEAP Analysis of Natural Gas Issues - Dual Fuel - Electric Interdependencies * SEAP Life Cycle Analysis 3 National

  15. NREL: Energy Analysis - Jordan Macknick

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

    Areas of expertise Renewable energy technological characterizations Database development ... Systems Analysis (IIASA), Vienna, Austria (2009) Research Assistant, Yale School ...

  16. NREL: Energy Analysis - David Hurlbut

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

    Hurlbut Photo of David Hurlbut David Hurlbut is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Senior Analyst On staff since January 2007 Phone number: 303-384-7334 E-mail: david.hurlbut@nrel.gov Areas of expertise Policy and legislative analysis Statistical analysis and econometrics Optimization modeling Cost-benefit analysis Primary research interests Economic incentives and market behavior affecting energy efficiency and renewable energy

  17. NREL: Energy Analysis - Eric Lantz

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

    Lantz Photo of Eric Lantz Eric Lantz is member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Energy Analyst - Manager, Technology Systems and Utility Analysis On staff since September 2008 Phone number: 303-384-7418 E-mail: eric.lantz@nrel.gov Areas of expertise Economic development impacts analysis State and federal policy analysis Primary research interests Policy applications for expanding renewable energy markets Evaluating economic and

  18. Best-Estimate Analysis PWR LOCA.

    Energy Science and Technology Software Center (OSTI)

    2005-11-11

    Version: 00 TRAC‑PF1 performs best estimate analyses of loss of coolant accidents and other transients in pressurized light water reactors. The program can also be used to model a wide range of thermal hydraulic experiments in reduced scale facilities. Models employed include reflood, multi‑dimensional two‑phase flow, nonequilibrium thermodynamics, generalized heat transfer, and reactor kinetics. Automatic steady‑state and dump/restart capabilities are provided. The changes reported in TRACNEWS issues through Number 7 are incorporated in this release.more » TRAC-PF1 was developed on a CDC computer at Los Alamos National Laboratory. The PC version of TRAC‑PF1 was converted at CNEN in 1989 and has not been updated since that time. The NRC no longer supports the TRAC codes. They currently develop and maintain the TRACE code system, which is the TRAC/RELAP Advanced Computational Engine. TRACE is a modernized thermal-hydraulics code designed to consolidate the capabilities of NRC's 3 legacy safety codes - TRAC-P, TRAC-B and RELAP. This is NRC's flagship thermal-hydraulics analysis tool. See the website for more information http://www.nrccodes.com/.« less

  19. NREL: Energy Analysis: Geospatial Analysis

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

    energy infrastructure, demographics and land ownership, and the earth's physical geography (topography, land use, rivers). NREL's geographic information system models enable...

  20. NREL-How to Estimate the Economic Impacts from Renewable Energy...

    Open Energy Information (Open El) [EERE & EIA]

    NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar (Redirected from How to Estimate the Economic Impacts from Renewable Energy) Jump to: navigation, search...

  1. Estimate of Geothermal Energy Resource in Major U.S. Sedimentary...

    Office of Scientific and Technical Information (OSTI)

    Estimate of Geothermal Energy Resource in Major U.S. Sedimentary Basins (Presentation) Citation Details In-Document Search Title: Estimate of Geothermal Energy Resource in Major ...

  2. NREL: Energy Analysis - Ahmad Mayyas

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

    Ahmad Mayyas Photo of Ahmad Mayyas Ahmad Mayyas is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Clean Energy Manufacturing and Cost Analyst On staff since April, 2015 Phone number: 303-384-7446 E-mail: Ahmad.Mayyas@nrel.gov Areas of expertise Life cycle assessment of renewable and sustainable energy systems Design for sustainability/environment for automobiles Sustainable manufacturing and energy analysis Advanced engineering

  3. NREL: Energy Analysis - Cara Marcy

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

    Cara Marcy Photo of Cara Marcy Cara Marcy is a member of the Market and Policy Impact Group in the Strategic Energy Analysis Center. Renewable Electricity Analyst On staff since September 2015 Phone number: 303-275-3740 E-mail: Cara.Marcy@nrel.gov Areas of expertise Energy policy analysis Data analysis and modeling Utility-scale wind, solar, and energy storage Primary research interests Renewable electricity policy and market modelling Renewable generation and energy storage integration Regional

  4. NREL: Energy Analysis - Daniel Steinberg

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

    Steinberg Photo of Daniel Steinberg Daniel Steinberg is a section supervisor of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Senior Policy and Economic Analyst - Electricity Planning Section Supervisor On staff since September 2009 Phone number: 303-275-4287 E-mail: daniel.steinberg@nrel.gov Areas of expertise Energy policy and regulatory analysis Econometric analysis Modeling of interactions between climate change and the energy sector Primary research

  5. NREL: Energy Analysis - Dave Bielen

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

    Dave Bielen Photo of Dave Bielen Dave Bielen is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy and Environmental Policy Analyst On staff since June 2015 Phone number: 303-275-4921 E-mail: david.bielen@nrel.gov Areas of expertise Environmental policy design Dynamic programming Time series and microeconometric analysis Primary research interests Distributional impact analysis of environmental and energy policy GHG emissions mitigation in the

  6. NREL: Energy Analysis - Nick Grue

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

    Grue Nick Grue is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist II - GIS On staff since June 2014 Phone number: 303-384-7278 E-mail: nick.grue@nrel.gov Areas of expertise Geospatial analysis Web GIS Primary research interests Open source energy data Web visualization of energy data Renewable energy policy Education and background training B.A. in geography and environmental science, University of Colorado at Denver, Denver, CO, 2012

  7. NREL: Energy Analysis - Sadie Cox

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

    Sadie Cox Photo of Sadie Cox Sadie Cox is member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. International Energy Analyst On staff since April 2009 Phone number: 303-384-7391 E-mail: sadie.cox@nrel.gov Areas of expertise International market analysis Low emissions development planning International coordination to support climate programs Primary research interests Energy and development Renewable energy markets in Africa Microfinance in West African

  8. NREL: Energy Analysis - Ethan Warner

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

    Ethan Warner Photo of Ethan Warner Ethan Warner is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Sustainability Analyst On staff since August 2009 Phone number: 303-384-7471 E-mail: ethan.warner@nrel.gov Areas of expertise Life cycle assessment System dynamics modeling Energy policy Policy analysis Risk analysis Primary research interests System dynamics modeling of renewable technologies and energy systems Technological, social,

  9. NREL: Energy Analysis - Philipp Beiter

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

    Philipp Beiter Photo of Philipp Beiter Philipp Beiter is a member of the Market and Policy Impact Group in the Strategic Energy Analysis Center. Energy Markets and Policy Analyst On staff since October 2014 Phone number: 303-275-4383 E-mail: Philipp.Beiter@nrel.gov Areas of expertise Energy policy analysis Regulatory policy Data analysis and statistical modeling Primary research interests Electricity markets Utility business models for distributed generation Regulatory analysis Grid integration

  10. NREL: Energy Analysis - Scott Jenne

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

    Jenne Photo of Scott Jenne Scott Jenne is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Multidisciplinary Energy Engineer On staff since 2011 Phone number: 303-384-7248 E-mail: scott.jenne@nrel.gov Areas of expertise Techno-Economic Analysis Mechanical design 3D modeling and finite element analysis (FEA) Wave energy conversion Geothermal power cycles Primary research interests Cost reduction pathways of RE systems Integration of RE

  11. NREL: Energy Analysis: Analysis of Project Finance

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

    Analysis of Project Finance NREL analysis helps potential renewable energy developers and investors gain insights into the complex world of project finance. Renewable energy project finance is complex, requiring knowledge of federal tax credits, state-level incentives, renewable attribute markets, renewable technology installation and operation costs, and many other site-specific considerations. NREL conducts research, performs analysis, and produces reports and analysis tools on: Project-level

  12. Energy Analysis of Offshore Systems | Wind | NREL

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

    Energy Analysis of Offshore Systems NREL has a long history of successful research to understand and improve the cost of wind generation technology. As a research laboratory, NREL is a neutral, third party and can provide an unbiased perspective of methodologies and approaches used to estimate direct and indirect economic impacts of offshore wind. Chart of cost data for actual and projected offshore wind projects as reported by developers. Market Analysis NREL's extensive research on installed

  13. LBNL Renewable Energy Market and Policy Analysis | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    LBNL Renewable Energy Market and Policy Analysis Jump to: navigation, search Logo: Renewable Energy Market and Policy Analysis at LBNL Name Renewable Energy Market and Policy...

  14. LBNL Renewable Energy Market and Policy Analysis | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    LBNL Renewable Energy Market and Policy Analysis (Redirected from Renewable Energy Market and Policy Analysis at LBNL) Jump to: navigation, search Logo: Renewable Energy Market and...

  15. 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 ...

  16. Energy analysis program. 1994 annual report

    SciTech Connect (OSTI)

    Levine, M.D.

    1995-04-01

    This report provides an energy analysis overview. The following topics are described: building energy analysis; urban and energy environmental issues; appliance energy efficiency standards; utility planning and policy; energy efficiency, economics, and policy issues; and international energy and environmental issues.

  17. NREL: Energy Analysis - Jessica Katz

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

    Jessica Katz Photo of Jessica Katz Jessica Katz is a member of the Market and Policy Impact Group in the Strategic Energy Analysis Center. Analyst On staff since 2009 Phone number: 303-275-4330 E-mail: Jessica.Katz@nrel.gov Areas of expertise Low emission development strategies Greenhouse gas accounting and mitigation analysis Primary research interests Grid integration of variable renewable energy Application of renewable energy resource assessment and geospatial mapping to inform clean energy

  18. NREL: Energy Analysis - Laura Vimmerstedt

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

    Laura Vimmerstedt Photo of Laura Vimmerstedt Laura Vimmerstedt is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Senior Environmental Analyst - Transportation, Fuels, and Environmental Impacts Section Supervisor On staff since 1994 Phone number: 303-384-7346 E-mail: laura.vimmerstedt@nrel.gov Areas of expertise Climate change policy analysis Renewable energy modeling Air-quality regulatory implications for energy technologies Primary research

  19. Analysis Tools | Department of Energy

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

    Analysis Tools Analysis Tools The Department of Energy's Vision Create a set of interoperable tools that provide insight on building energy performance and drive action in the market. The Problem A lot of data. More buildings are creating energy data now than ever before, due to advances in technology, markets, and policies. While data in some areas, such as energy consumption, is becoming easier to collect, other types of data, such as physical attributes, is still hard to collect. But a lack

  20. NREL: Energy Analysis - Elaine Hale

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

    Elaine Hale Photo of Elaine Hale Elaine Hale is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Senior Engineer On staff since February 2008 Phone number: 303-384-7812 E-mail: elaine.hale@nrel.gov Areas of expertise Mathematical modeling, simulation, and optimization of complex engineering systems Computer programming and software tool development Grid integration analysis, building energy analysis Optimization algorithms for large-scale and

  1. NREL: Energy Analysis - Paul Schwabe

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

    Schwabe Photo of Paul Schwabe Paul Schwabe is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Energy and Financial Analyst On staff since August 2008 Phone number: 303-384-7468 E-mail: paul.schwabe@nrel.gov Areas of expertise Electricity market financial analysis Natural gas volume and revenue forecasting Energy efficiency and conservation, including electric and natural gas rate decoupling Primary research interests Market penetration and

  2. NREL: Energy Analysis - Kathleen Nawaz

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

    E-mail: kathleen.nawaz@nrel.gov Areas of expertise Global climate change and renewable energy Co-benefitsdevelopment impact analysis Low carbon transportation Primary research...

  3. NREL: Energy Analysis - Mackay Miller

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

    and multilateral initiatives including the US-China Renewable Energy Partnership and 21st Century Power Partnership Quantitative social network analysis of innovation pathways...

  4. NREL: Energy Analysis - Alberta Carpenter

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

    A. Mills, and D. Millstein. 2016. A Retrospective Analysis of the Benefits and Impacts of U.S. Renewable Portfolio Standards. Golden, CO: National Renewable Energy Laboratory. ...

  5. NREL: Energy Analysis - Jennie Jorgenson

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

    Jennie Jorgenson Photo of Jennie Jorgenson Jennie Jorgenson is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Systems Modeling Engineer On staff since September 2012 Phone number: 303-275-3103 E-mail: jennie.jorgenson@nrel.gov Areas of expertise Energy systems modeling with SAM Unit commitment and dispatch modeling Integrating concentrating solar power, energy storage, and demand response into power grid models Quantitative/statistical

  6. NREL: Energy Analysis - Geothermal Technology Analysis

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

    Geothermal Technology Analysis The Department of Energy's (DOE) Geothermal Energy Program focuses in three areas: energy systems research and testing (working to enhance conversion of geothermal energy into heat and electricity) led by NREL; drilling technologies research (for both hardware and diagnostic tools) led by Sandia National Laboratories; and geoscience and supporting technologies research (exploration and resource management) led by the Idaho National Engineering and Environmental

  7. NREL: Energy Analysis - Solar Technology Analysis

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

    Solar Technology Analysis NREL conducts analysis to support research and development done by the Solar Energy Technologies Program in three major technology areas: concentrating solar power; solar electricity, also known as photovoltaics or PV; and solar heating and lighting. For example, in the area of photovoltaics, EERE's systems modeling and analysis activity rigorously assesses the performance, reliability, installed costs, and levelized energy costs (LECs) of a wide variety of flat-plate

  8. Estimated United States Residential Energy Use in 2005

    SciTech Connect (OSTI)

    Smith, C A; Johnson, D M; Simon, A J; Belles, R D

    2011-12-12

    A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

  9. Transportation Energy Systems Analysis

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Arctic Climate Measurements Global Climate Models Software Sustainable Subsurface ...

  10. NREL: Energy Analysis - Anelia Milbrandt

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

    Anelia Milbrandt Photo of Anelia Milbrandt. Anelia Milbrandt is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. She is also a member of the NREL International Studies Team. Senior Energy Resources Analyst On staff since 2003 Phone number: 303-275-4633 Email: anelia.milbrandt@nrel.gov Areas of expertise Biomass resource assessment Geospatial modeling and analysis Integrated resource, infrastructure, and market analysis Primary research

  11. NREL: Energy Analysis - Dylan Hettinger

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

    Dylan Hettinger Photo of Dylan Hettinger. Dylan Hettinger is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. GIS Programmer Analyst On staff since 2010 Phone number: 303-275-3750 E-mail: dylan.hettinger@nrel.gov Areas of expertise Information design Spatial analysis and cartography Prior work experience AMEC Earth & Environmental, Denver, CO Greenhorne & O'Mara, Raleigh, NC Printable Version Energy Analysis Home Capabilities & Expertise

  12. NREL: Energy Analysis - Margaret Mann

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

    Margaret Mann Photo of Margaret Mann Margaret Mann is the group manager of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Group Manager On staff since 1993 Phone number: 303-275-2921 E-mail: margaret.mann@nrel.gov Areas of expertise Technical and economic feasibility analysis Environmental analysis Strategic planning for market development Primary research interests Life cycle assessment of renewable energy and conventional technologies

  13. NREL: Energy Analysis - Ran Fu

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

    Ran Fu Photo of Ran Fu Ran Fu is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Energy Analyst On staff since June 2013 Phone number: 303-384-7522 E-mail: ran.fu@nrel.gov Areas of expertise Manufacturing economics and technology strategic roadmap Techno-economic analysis for supporting R&D decision making Value chain analysis and market forecasting Primary research interests Cost modeling for manufacturing and installation

  14. NREL: Energy Analysis - Scott Nicholson

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

    Nicholson Photo of Scott Nicholson. Scott Nicholson is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Industrial Energy Analyst/Engineer On staff since June 2015 Phone number: 303-275-3897 E-mail: scott.nicholson@nrel.gov Areas of expertise Life cycle assessment/inventory Supply chain modeling Primary research interests Industrial supply chain analysis Life-cycle analysis of next-generation materials Developing the Materials Flows

  15. Method for Photovoltaic Maximum Power Point Estimation - Energy Innovation

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

    Portal Electricity Transmission Electricity Transmission Find More Like This Return to Search Method for Photovoltaic Maximum Power Point Estimation National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary With the increased penetration of connected photovoltaic (PV) power systems in large-scale transmission grids and in consumer-scale distribution grids, the conventional rotating machines that have supplied rotational inertia and primary frequency

  16. Actual and Estimated Energy Savings Comparison for Deep Energy Retrofits in the Pacific Northwest

    SciTech Connect (OSTI)

    Blanchard, Jeremy; Widder, Sarah H.; Giever, Elisabeth L.; Baechler, Michael C.

    2012-10-01

    Seven homes from the Pacific Northwest were selected to evaluate the differences between estimated and actual energy savings achieved from deep energy retrofits. The energy savings resulting from these retrofits were estimated, using energy modeling software, to save at least 30% on a whole-house basis. The modeled pre-retrofit energy use was trued against monthly utility bills. After the retrofits were completed, each of the homes was extensively monitored, with the exception of one home which was monitored pre-retrofit. This work is being conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. This work found many discrepancies between actual and estimated energy savings and identified the potential causes for the discrepancies. The differences between actual energy use and modeled energy use also suggest improvements to improve model accuracy. The difference between monthly whole-house actual and estimated energy savings ranged from 75% more energy saved than predicted by the model to 16% less energy saved for all the monitored homes. Similarly, the annual energy savings difference was between 36% and -14%, which was estimated based on existing monitored savings because an entire year of data is not available. Thus, on average, for all six monitored homes the actual energy use is consistently less than estimates, indicating home owners are saving more energy than estimated. The average estimated savings for the eight month monitoring period is 43%, compared to an estimated savings average of 31%. Though this average difference is only 12%, the range of inaccuracies found for specific end-uses is far greater and are the values used to directly estimate energy savings from specific retrofits. Specifically, the monthly post-retrofit energy use differences for specific end-uses (i.e., heating, cooling, hot water, appliances, etc.) ranged from 131% under

  17. Systems Analysis | Department of Energy

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

    About the Geothermal Technologies Office » Systems Analysis Systems Analysis What is the Systems Analysis program? The Systems Analysis program in the Geothermal Technologies Office focuses primarily on: Environmental issues Policy, regulatory, and financing Economic Analysis and validation Data and Tools that support geothermal exploration and development As a key part of the Systems Analysis portfolio, a two-year, comprehensive Vision Study for geothermal energy development is underway to

  18. Issues in International Energy Consumption Analysis: Canadian...

    U.S. Energy Information Administration (EIA) (indexed site)

    Issues in International Energy Consumption Analysis: Canadian Energy Demand June 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 ...

  19. Cities Leading through Energy Analysis and Planning

    Energy.gov [DOE]

    The Cities Leading through Energy Analysis and Planning (Cities-LEAP) project delivers standardized, localized energy data and analysis that enables cities to lead clean energy innovation and...

  20. NREL: Energy Analysis - Aaron Levine

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

    Levine Photo of Aaron Levine Aaron Levine is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Legal and Regulatory Analyst On staff since 2012 Phone number: 303-275-3855 E-mail: aaron.levine@nrel.gov Areas of expertise Environmental laws and regulations Energy facility siting and transmission laws and regulations Natural resource leasing and acquisition Legal impacts on renewable energy development Legal and policy research Primary

  1. NREL: Energy Analysis - Anna Wall

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

    Anna Wall Photo of Anna Wall Anna Wall is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Energy Technologies Analyst On staff since April 2014 Phone number: 303-384-6887 E-mail: anna.wall@nrel.gov Areas of expertise Geochemistry (aqueous and hard rock), with applications to geothermal resource characterization and mineral carbon sequestration Ratings methodologies and energy resource reporting standards Sustainable equity finance:

  2. NREL: Energy Analysis - Pieter Gagnon

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

    Pieter Gagnon Photo of Pieter Gagnon Pieter Gagnon is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Engineering Analyst of Solar Policy and Technoeconomics On staff since June 2015 Phone number: 303-275-4910 E-mail: Pieter.Gagnon@nrel.gov Areas of expertise Design and economic analysis of solar photovoltaic systems Energy system modeling in the hydraulic, pneumatic, mechanical, and solar domains Primary research interests Characterizing modern

  3. Environmental Analysis | Department of Energy

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

    Environmental Analysis Environmental Analysis Photo of a geothermal power plant emitting steam. Geothermal energy is a clean, renewable energy. For example, this geothermal power plant in Mexico only emits steam. Nonetheless, GTO is analyzing the possible environmental impacts of geothermal energy associated with power plant life cycles, water use, and seismicity related to EGS. The Geothermal Technologies Office (GTO) works to address the environmental impacts of geothermal technologies through

  4. NREL: Energy Analysis - Related Links

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

    Related Links Here you'll find links to other programs, organizations, and information resources concerning other analysis capabilities, energy-modeling, and technology expertise related to renewable energy. International Applications NREL's International Program in its effort to promote the use of renewable energy as a tool for sustainable development, applies world-class expertise in technology development and deployment, economic analysis, resource assessment, project design and

  5. Strategic Energy Analysis (Presentation), NREL (National Renewable Energy Laboratory)

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

    NREL Planning & Analysis Dr. Robin Newmark Strategic Energy Analysis Center World Renewable Energy Forum May 16, 2012 Denver, Colorado NREL/PR-6A20-54950 Strategic Energy Analysis Innovation for Our Energy Future National Renewable Energy Laboratory RE Resource Mapping Innovation for Our Energy Future National Renewable Energy Laboratory RE Resource Mapping Innovation for Our Energy Future National Renewable Energy Laboratory RE Resource Mapping Innovation for Our Energy Future National

  6. Karuk Tribe - Energy Analysis and Conservation

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

    the Tribe's energy demands b) Energy conservation opportunities (ways to save ) c) ... Tasks 1. Tribal Council Participation 2. Energy Demand Analysis 3. Energy Conservation & ...

  7. 2006 Status Report Savings Estimates for the ENERGY STAR(R)Voluntary Labeling Program

    SciTech Connect (OSTI)

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla; Homan,Gregory K.

    2006-03-07

    ENERGY STAR(R) is a voluntary labeling program designed toidentify and promote energy-efficient products, buildings and practices.Operated jointly by the Environmental Protection Agency (EPA) and theU.S. Department of Energy (DOE), ENERGY STAR labels exist for more thanthirty products, spanning office equipment, residential heating andcooling equipment, commercial and residential lighting, home electronics,and major appliances. This report presents savings estimates for a subsetof ENERGY STAR labeled products. We present estimates of the energy,dollar and carbon savings achieved by the program in the year 2005, whatwe expect in 2006, and provide savings forecasts for two marketpenetration scenarios for the periods 2006 to 2015 and 2006 to 2025. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

  8. NREL: Energy Analysis - Clayton Barrows

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

    Clayton Barrows Photo of Clayton Barrows Clayton Barrows is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Electric System Modeler On staff since January 2013 Phone number: 303-275-3921 E-mail: clayton.barrows@nrel.gov Areas of expertise Power system modeling Primary research interests Power and energy systems Complex system optimization Network science Education and background training Ph.D. in energy and mineral engineering, Penn State, 2013 B.S.

  9. NREL: Energy Analysis - David Palchak

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

    Palchak Photo of David Palchak David Palchak is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Systems Engineer On staff since September 2012 Phone number: 303-384-7456 E-mail: david.palchak@nrel.gov Areas of expertise Electrical load forecasting with artificial neural networks Demand-side management optimization with Matlab Primary research interests Demand response and renewable energy deployment modeling (PLEXOS) Education and background

  10. NREL: Energy Analysis - Galen Maclaurin

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

    Galen Maclaurin Photo of Galen Maclaurin Galen Maclaurin is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist III On staff since June 2015 Phone number: 303-275-3846 E-mail: Galen.Maclaurin@nrel.gov Areas of expertise Spatial and temporal modeling Remote sensing image analysis Spatial statistics & machine learning Scientific programming Primary research interests Modeling energy use at multiple spatial scales Information extraction from

  11. NREL: Energy Analysis - Garvin Heath

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

    Garvin Heath Photo of Garvin Heath Garvin Heath is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Senior Scientist On staff since January 2008 Phone number: 303-384-7460 E-mail: garvin.heath@nrel.gov Areas of expertise Life cycle assessment Sustainability analysis Air quality modeling Exposure assessment Primary research interests Health and environmental impacts of energy technologies, including externalities Life cycle assessment

  12. NREL: Energy Analysis - Katherine Young

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

    Katherine Young, P.E. Photo of Katherine Young Katherine Young is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Geothermal Energy Engineer On staff since June 2008 Phone number: 303-384-7402 E-mail: katherine.young@nrel.gov Areas of expertise Geothermal exploration analysis Regulatory and permitting Resource reporting Geothermal direct use (thermal applications) Water rights and resources engineering Database planning and

  13. NREL: Energy Analysis - Rebecca Hanes

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

    Rebecca Hanes Photo of Rebecca Hanes Rebecca Hanes is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Chemical Engineering Analyst for Renewable Energy Technologies On staff since July 2015 Phone number: 303-275-4397 E-mail: rebecca.hanes@nrel.gov Areas of expertise Mathematical and theoretical aspects of life cycle inventories Economic and environmentally extended input-output analysis Sustainable design and optimization of

  14. Clean Energy Policy Analysis: Impact Analysis of Potential Clean...

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

    7891 April 2010 Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy Initiative S. Busche and E. Doris National ...

  15. NANA Strategic Energy Plan & Energy Options Analysis

    SciTech Connect (OSTI)

    Jay Hermanson; Brian Yanity

    2008-12-31

    Biomass Feasibility analysis in the upper Kobuk; • Run of the river hydroelectric development for the Upper Kobuk; • Solar photovoltaic (PV) power demonstration projects for Noatak, Ambler, Selawik, Kiana, and Noorvik; • Heat Recovery for several communities; In September 2008, the NRC team participated at the Alaska Rural Energy Conference in Girdwood, Alaska In November 2008, the NRC team gave a presentation on the NANA regional energy plans at a DOE Tribal Energy Program conference in Denver, Colorado. In January 2009, the final SEP report was submitted to NRC.

  16. Bottom-Up Energy Analysis System (BUENAS) | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Baseline projection, - Macroeconomic, Pathways analysis Resource Type:...

  17. U.S. Uranium Reserves Estimates - Energy Information Administration

    U.S. Energy Information Administration (EIA) (indexed site)

    Nuclear & Uranium Glossary › FAQS › Overview Data Status of U.S. nuclear outages (interactive) Nuclear power plants Uranium & nuclear fuel Spent nuclear fuel All nuclear data reports Analysis & Projections Major Topics Most popular Nuclear plants and reactors Projections Recurring Uranium All reports Browse by Tag Alphabetical Frequency Tag Cloud ‹ See all Nuclear Reports U.S. Uranium Reserves Estimates Data for: 2008 | Release Date: July 2010 | Next Release Date: Discontinued

  18. Sandia Energy Systems Analysis

    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-turbine-bl...

  19. 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...

  20. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01

    This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  1. NREL: Energy Analysis - Partnerships

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

    Partnerships NREL seeks to establish partnerships with universities, research institutions and think tanks, and industry leaders that leverage complementary capabilities and resources in advancing the understanding of energy efficiency and renewable energy technologies. We also co-produce publications with many of these groups. Current partnerships and links to their Web sites include: American Gas Foundation Antares Group, Inc. Arthur D. Little AWS Truepower Center for Clean Air Policy Center

  2. NREL-How to Estimate the Economic Impacts from Renewable Energy...

    Open Energy Information (Open El) [EERE & EIA]

    NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar Jump to: navigation, search Tool Summary LAUNCH TOOL Name: How to Estimate the Economic Impacts from...

  3. Community Energy: Analysis of Hydrogen Distributed Energy Systems...

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

    Community Energy: Analysis of Hydrogen Distributed Energy Systems with Photovoltaics for Load Leveling and Vehicle Refueling D. Steward National Renewable Energy Laboratory J. ...

  4. 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 ...

  5. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01

    U.S. and China are the world’s top two economics. Together they consumed one-third of the world’s primary energy. It is an unprecedented opportunity and challenge for governments, researchers and industries in both countries to join together to address energy issues and global climate change. Such joint collaboration has huge potential in creating new jobs in energy technologies and services. Buildings in the US and China consumed about 40% and 25% of the primary energy in both countries in 2010 respectively. Worldwide, the building sector is the largest contributor to the greenhouse gas emission. Better understanding and improving the energy performance of buildings is a critical step towards sustainable development and mitigation of global climate change. This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  6. Office of Energy Policy and Systems Analysis | Department of Energy

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

    Office of Energy Policy and Systems Analysis Office of Energy Policy and Systems Analysis The Quadrennial Energy Review The Quadrennial Energy Review The Quadrennial Energy Review (QER) is the first review of our nation's energy infrastructure. (Photo Credit: Dennis Schroeder/NREL) Read more Revolution Now Revolution Now For four key clean energy technologies, the clean energy future has already arrived. Read more Partnership for Energy Sector Climate Resilience Partnership for Energy Sector

  7. Request for Retirement Annuity Estimates | Department of Energy

    Office of Environmental Management (EM)

    Request for Retirement Annuity Estimates Request for Retirement Annuity Estimates Upon request, Office of the Chief Human Capital Officer provides retirement estimates for ...

  8. Property:Estimated End Date | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Estimated End Date Jump to: navigation, search Property Name Estimated End Date Property Type String Pages using the property "Estimated End Date" Showing 4 pages using this...

  9. NREL: Energy Analysis - Daniel Inman

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

    Inman Photo of Daniel Inman. Daniel Inman is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Research Scientist On staff since February 2008 Phone number: 303-384-6845 E-mail: Daniel.Inman@nrel.gov Areas of expertise Life-cycle modeling of renewable fuels Feedstock production and handling Biofuel sustainability Statistical analysis of temporal and spatial datasets System dynamics Primary research interests Sustainability analysis

  10. NREL: Energy Analysis - Timothy Remo

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

    Timothy Remo Photo of Timothy Remo Timothy Remo is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Solar PV Technologies Analyst and Engineer On staff since March 2015 Phone number: 303-275-3882 E-mail: Timothy.Remo@nrel.gov Areas of expertise Photovoltaic and semiconductor manufacturing cost analysis Process development and process optimization Design of Experiments and data analysis Primary research interests PV growth as cost

  11. NREL: Energy Analysis - Karlynn Cory

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

    Report No. TP-6A20-53086. Cory, K.; Canavan, B.; Koenig, R. (2009). Power Purchase Agreement Checklist for State and Local Governments. Energy Analysis; Fact Sheet Series on...

  12. NREL: Energy Analysis - Aaron Bloom

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

    Bloom Photo of Aaron Bloom Aaron Bloom is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Project Manager/Engineer - Electricity Section Supervisor On staff since 2012 Phone number: 303-384-7032 E-mail: aaron.bloom@nrel.gov Areas of expertise Stakeholder engagement Project management Primary research interests Market design under high penetrations of renewable energy Operational impacts of renewable technologies on the power system Evaluating market

  13. NREL: Energy Analysis - Brady Stoll

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

    Brady Stoll Photo of Brady Stoll Brady Stoll is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Postdoctoral Researcher On staff since May 2015 Phone number: 303-275-4104 E-mail: brady.stoll@nrel.gov Areas of expertise Renewable energy integration Electricity system modeling Primary research interests Capacity expansion modeling and optimization Demand response modeling within the electricity sector Education and background training Ph.D. in

  14. NREL: Energy Analysis - Newsletter Archive

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

    Newsletter Archive The Decision Insight and Market Impacts newsletter highlights the lab's analysts and analysis activities in renewable energy and energy efficiency technologies are having an impact on U.S. energy goals. The newsletter features recent publications and websites, updates to our models and tools, and staff activities. You can subscribe to receive the newsletter monthly by email. First Quarter (March 2016) 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 |

  15. NREL: Energy Analysis - Owen Zinaman

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

    Owen Zinaman Photo of Owen Zinaman Owen Zinaman is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. International Policy and Regulatory Specialist On staff since March 2012 Phone number: 303-275-4589 E-mail: owen.zinaman@nrel.gov Areas of expertise Executes program of international collaboration with South Africa power sector stakeholders under the 21st Century Power Partnership Coordinates NREL support for the Clean Energy Regulators Initiative Grid

  16. NREL: Energy Analysis - Venkat Kirshnan

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

    Venkat Krishnan Photo of Venkat K. Krishnan Venkat Krishnan is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy System Analyst On staff since August 11, 2014 Phone number: 303-275-3237 E-mail: Venkat.Krishnan@nrel.gov Areas of expertise Interdependent infrastructure planning Power system operational planning and stability assessment Statistical simulation and data mining Primary research interests Co-optimization of transmission and supply

  17. NREL: Energy Analysis - Bethany Speer

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

    Speer Photo of Bethany Speer Bethany Speer is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Renewable Energy Market, Finance, and Policy Analyst On staff since November 2009 Phone number: 303-384-7421 E-mail: bethany.speer@nrel.gov Areas of expertise International economic policy Climate change mitigation policies and trade issues International relations and development Primary research interests Project finance Markets Climate change mitigation

  18. NREL: Energy Analysis - Chad Augustine

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

    Chad Augustine Photo of Chad Augustine Chad Augustine is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Geothermal Energy Engineer/Analyst On staff since March 2009 Phone number: 303-384-7382 E-mail: chad.augustine@nrel.gov Areas of expertise Techno-economic modeling of Enhanced Geothermal Systems (EGS) Geothermal resource assessment High pressure, high temperature reaction systems Primary research interests EGS demonstration and

  19. NREL: Energy Analysis - Michael Woodhouse

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

    Woodhouse Photo of Michael Woodhouse Michael Woodhouse is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Solar PV Technologies and Economics Analyst On staff since 2008 Phone number: 303-384-7623 E-mail: Michael.Woodhouse@nrel.gov Areas of expertise Fundamental science of photovoltaics (PV) and solar hydrogen technologies Economics of PV - From manufacturing to levelized cost of energy (LCOE) Primary research interests Manufacturing

  20. NREL: Energy Analysis - Sertac Akar

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

    Sertac Akar Photo of Sertac Akar Sertac Akar is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Geothermal Energy Analyst On staff since 2014 Phone number: 303-275-3725 E-mail: sertac.akar@nrel.gov Areas of expertise Techno-economic evaluation and supply chain Exploration and production Drilling and well testing Reservoir modelling and development Geographical information systems (GIS) and remote sensing (RS) Primary research

  1. Analysis | Department of Energy

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

    Analysis Analysis The Bioenergy Technologies Office uses a wide range of analytical tools, data, and methodologies to support decision making, guide research, and demonstrate progress toward goals. The wide variety of available biomass feedstocks, conversion technologies, and integration strategies offer a broad range of feasible biofuels scenarios, so the Office focuses its analytical activities on the biofuels research and development (R&D) pathways that offer the best potential for

  2. Strategic Energy Analysis (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-02-01

    NREL complements its scientific research with high-quality, credible, technology-neutral, objective analysis that informs policy and investment decisions as renewable energy and energy efficiency technologies move from innovation through integration. This sheet highlights NREL's analytical capabilities and achievements.

  3. Office of Energy Policy and Systems Analysis | Department of Energy

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

    Efficiency & Renewable Energy Search Search form Search Office of Energy Efficiency & Renewable Energy Office of Energy Efficiency & Renewable Energy Services Services Home Energy Basics States & Local Communities Technical Assistance Energy Analysis Jobs, Education, & Training Publications Funding Small Business Program Efficiency Efficiency Home Buildings Homes Advanced Manufacturing Government Energy Management Renewables Renewables Home Solar Geothermal Wind Water

  4. RPS Collaborative Webinar: Using AVERT to Estimate the Emissions Benefits of Clean Energy Policies and Programs

    Office of Energy Efficiency and Renewable Energy (EERE)

    State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it can be challenging and...

  5. Table 1.3 Primary Energy Consumption Estimates by Source, 1949...

    Gasoline and Diesel Fuel Update

    ... hydroelectric power, geothermal, solar thermal, photovoltaic, and wind. ... Notes: * See "Primary Energy Consumption" in Glossary. * See Table E1 for estimated energy consumption ...

  6. Estimating the Cost and Energy Efficiency of a Solar Water Heater...

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

    Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater March 2, 2015 - 3:09pm Addthis Solar water...

  7. NREL: Energy Analysis - Aron Dobos

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

    Aron Dobos Photo of Aron Dobos Aron Dobos is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Programming Engineer On staff since August 2008 Phone number: 303-384-7422 E-mail: aron.dobos@nrel.gov Areas of expertise Detailed modeling of PV, CSP, and solar water heating systems Flat-plate PV and HCPV modeling and engineering Systems simulation using TRNSYS and SAM Economic analysis of renewable energy systems Power system scheduling and economics

  8. NREL: Energy Analysis - Thomas Jenkin

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

    Thomas Jenkin Photo of Thomas Jenkin. Thomas Jenkin is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Energy Analyst On staff since August 2004 Phone number: 202-488-2219 E-mail: thomas.jenkin@nrel.gov Areas of expertise Valuation and risk management Market structure and operation of natural gas and power markets Economic analysis of storage technologies Research and development (R&D) Primary research interests R&D and commercialization of energy

  9. Development of an energy-use estimation methodology for the revised Navy Manual MO-303

    SciTech Connect (OSTI)

    Richman, E.E.; Keller, J.M.; Wood, A.G.; Dittmer, A.L.

    1995-01-01

    The U.S. Navy commissioned Pacific Northwest Laboratory (PNL) to revise and/or update the Navy Utilities Targets Manual, NAVFAC MO-303 (U.S. Navy 1972b). The purpose of the project was to produce a current, applicable, and easy-to-use version of the manual for use by energy and facility engineers and staff at all Navy Public Works Centers (PWCs), Public Works Departments (PWDs), Engineering Field Divisions (EFDs), and other related organizations. The revision of the MO-303 manual involved developing a methodology for estimating energy consumption in buildings and ships. This methodology can account for, and equitably allocate, energy consumption within Navy installations. The analyses used to develop this methodology included developing end-use intensities (EUIs) from a vast collection of Navy base metering and billing data. A statistical analysis of the metering data, weather data, and building energy-use characteristics was used to develop appropriate EUI values for use at all Navy bases. A complete Navy base energy reconciliation process was also created for use in allocating all known energy consumption. Initial attempts to use total Navy base consumption values did not produce usable results. A parallel effort using individual building consumption data provided an estimating method that incorporated weather effects. This method produced a set of building EUI values and weather adjustments for use in estimating building energy use. A method of reconciling total site energy consumption was developed based on a {open_quotes}zero-sum{close_quotes} principle. This method provides a way to account for all energy use and apportion part or all of it to buildings and other energy uses when actual consumption is not known. The entire text of the manual was also revised to present a more easily read understood and usable document.

  10. A Review of Cost Estimation in New Technologies - Implications for Energy

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

    Process Plants | Department of Energy A Review of Cost Estimation in New Technologies - Implications for Energy Process Plants A Review of Cost Estimation in New Technologies - Implications for Energy Process Plants This report reviews literature on cost estimation in several areas involving major capital expenditure programs: energy process plants, major weapons systems acquisition, public works and larger construction projects, and cost estimating techniques and problems for chemical

  11. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projection...

    U.S. Energy Information Administration (EIA) (indexed site)

    Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows ...

  12. Karuk Tribe - Energy Analysis and Conservation

    Energy.gov (indexed) [DOE]

    Energy Analysis and Conservation on Karuk Trust Lands Project Team: Karuk Department of ... Reducing Energy Demands through Energy Conservation and Efficiency Measures 3. Assess the ...

  13. Sandia Energy - Solar Glare Hazard Analysis Tool

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

    Solar Glare Hazard Analysis Tool Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Solar Market Transformation Solar Glare Hazard Analysis Tool Solar...

  14. Issues in International Energy Consumption Analysis: Electricity...

    U.S. Energy Information Administration (EIA) (indexed site)

    Energy Consumption Analysis: Electricity Usage in India's Housing Sector November 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC ...

  15. NREL Market Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    TOOL Name: NREL Market analysis AgencyCompany Organization: National Renewable Energy Laboratory Sector: Energy Topics: Market analysis Website: www.nrel.govanalysis...

  16. NREL: Energy Analysis - Anthony Lopez

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

    Anthony Lopez Photo of Anthony Lopez Anthony Lopez is the section supervisor of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. GIS Scientist IV - Section Supervisor On staff since April 2009 Phone number: 303-275-3654 E-mail: anthony.lopez@nrel.gov Areas of expertise Spatial database design and utilization High performance computing Parallel processing and analysis of large geospatial datasets Visualization of complex spatial-temporal datasets Renewable

  17. NREL: Energy Analysis - David Harrison

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

    Harrison David Harrison is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Software Engineer On staff since 2009 Phone number: 303-275-4411 E-mail: david.harrison@nrel.gov Areas of expertise Data design and database administration Custom software solutions Full systems development life cycle Primary research interests Oracle and PostgreSQL database management Open source NoSQL implementations Geographic data design, maintenance, and analysis

  18. NREL: Energy Analysis - Meghan Mooney

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

    Meghan Mooney Photo of Meghan Mooney Meghan Mooney is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. GIS Scientist II On staff since June 2015 Phone number: 303-384-7315 E-mail: meghan.mooney@nrel.gov Areas of expertise Spatial Analysis Statistics Cartography Transportation/mobility Primary research interests Transportation and alternative fuels Mobility and behavioral dimensions of climate change VGI and mixed methods GIS Education and background

  19. NREL: Energy Analysis - Michael Gleason

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

    Gleason Michael Gleason is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist III - GIS On staff since April 2014 Phone number: 303-275-4109 E-mail: Michael.Gleason@nrel.gov Areas of expertise Geospatial analysis and modeling Scientific programming Multivariate data visualization Technical writing and editing Primary research interests Modeling technical resource potential for renewable technologies Modeling market diffusion of distributed

  20. NREL: Energy Analysis - Yimin Zhang

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

    Yimin Zhang Photo of Yimin Zhang Yimin Zhang is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Research Analyst On staff since April 2010 Phone number: 303-275-3258 E-mail: yimin.zhang@nrel.gov Areas of expertise Life cycle assessment Cost-effectiveness analysis of greenhouse gas emissions reduction Primary research interests Life cycle assessment for biofuels Sustainability Competing uses of biomass resources Education and

  1. Environmental Analysis | Department of Energy

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

    Environmental Analysis Environmental Analysis Environmental Analysis is used by the Program to quantify the environmental impacts of hydrogen technologies. Specifically, life cycle assessment is used to identify and evaluate the emissions, resource consumption, and energy use of all processes required to make the process of interest operate, including raw material extraction, transportation, processing, and final disposal of all products and by-products. Also known as cradle-to-grave or

  2. NREL: Energy Analysis - Technology Systems Analysis

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

    Technology Systems Analysis NREL's Technology Systems Analysis examines RD&D areas in terms of potential costs, benefits, risks, uncertainties, and timeframes. The following pages provide information on specific technology areas: Biomass Building Electric Infrastructure Systems Energy Sciences Geothermal Hydrogen and Fuel Cells Solar Vehicles and Fuels Research Wind Key staff analyst Summary bios of staff expertise and interests Team Lead: Margaret Mann Administrative Support: Catherine

  3. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    Energy.gov (indexed) [DOE]

    Alaska Energy Basics STRATEGIC ENERGY PLANNING 2015 Bethel, Dillingham and Juneau Presented by the National Renewable Energy Laboratory What is Strategic Energy Planning * ...

  4. DOE Zero Energy Ready Home Savings and Cost Estimate Summary | Department

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

    of Energy Savings and Cost Estimate Summary DOE Zero Energy Ready Home Savings and Cost Estimate Summary The U.S. Department of Energy Zero Energy Ready Home Savings and Cost Estimate Summary, October 2015 DOE Zero Energy Ready Home - Cost & Savings Summary OCT 2015.pdf (652.24 KB) More Documents & Publications Indoor airPLUS Construction Specifications Indoor airPLUS Construction Specifications Version 1 (Rev. 02) Washington DOE ZERH

  5. NREL: Energy Analysis - Dheepak Krishnamurthy

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

    Dheepak Krishnamurthy Photo of Dheepak Krishnamurthy Dheepak Krishnamurthy is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Developer of Agent-Based Models On staff since January 2015 Phone number: 303-384-7394 E-mail: dheepak.krishnamurthy@nrel.gov Areas of expertise Power System Operation, Optimization and Control High performance computing Computer programming and software development Primary research interests Integrated Retail and Wholesale

  6. NREL: Energy Analysis - Nate Blair

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

    Nate Blair Photo of Nate Blair. Nate Blair is the group manager of the Energy Forecasting and Modeling in the Strategic Energy Analysis Center. Group Manager On staff since September 2002 Phone number: 303-384-7426 E-mail: nate.blair@nrel.gov Areas of expertise Linear programming with General Algebraic Modeling System (GAMS) Building and system simulation tools, especially the TRaNsient SYstem Simulation Program (TRNSYS) EES Concentrating solar power system modeling Experimental solar

  7. Table 3.3 Consumer Price Estimates for Energy by Source, 1970...

    U.S. Energy Information Administration (EIA) (indexed site)

    Consumer Price Estimates for Energy by Source, 1970-2010 (Dollars 1 per Million Btu) Year Primary Energy 2 Electric Power Sector 11,12 Retail Electricity 13 Total Energy 9,10,14 ...

  8. NREL: Energy Analysis - Chris Webber

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

    Chris Webber Photo of Chris Webber. Chris Webber is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Chief Cloud Architect On staff since April 2011 Phone number: 303-275-4238 E-mail: christopher.webber@nrel.gov Areas of expertise Cloud computing Unix (Linux, Solaris, Mac OS X) Virtualization System security Primary research interests Cloud infrastructure Automated provisioning System monitoring Education and background training Undergraduate studies

  9. NREL: Energy Analysis - Jon Duckworth

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

    Duckworth Photo of Jon Duckworth Jon Duckworth is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist II - GIS On staff since June 2014 Phone number: 303-384-7465 E-mail: Jonathan.Duckworth@nrel.gov Areas of expertise Web interface development Spatiotemporal data visualization Primary research interests Client- and server-side JavaScript programming Interactive data visualization Education and background training M.Eng. in civil engineering

  10. NREL: Energy Analysis - Nick Muerdter

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

    Muerdter Nick Muerdter is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Software Engineer Phone number: 303-275-4459 E-mail: Nick.Muerdter@nrel.gov Areas of expertise Online applications Data-driven websites Primary research interests Alternative vehicle fuels Education and background training B.S. in computer science, Rochester Institute of Technology, Rochester, NY Prior work experience Software Engineer Co-op, BlueTie, Rochester, NY Webmonkey,

  11. NREL: Energy Analysis - Ricardo Oliveira

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

    Ricardo Oliveira Photo of Ricardo Oliveira Ricardo Oliveira is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist II On staff since August 2016 Phone number: 303-275-3272 E-mail: ricardo.oliveira@nrel.gov Areas of expertise Web Development Spatial Databases Spatial Programming Primary research interests Transportation Data Visualization Education and background training M.A. in Applied Geography and Geospatial Science, University of Colorado

  12. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    Office of Environmental Management (EM)

    Strategic Partnerships for Clean Energy and Economic Development Alexander Dane, AICP Project Leader, National Renewable Energy Laboratory 2 Strategic Partnerships for Clean Energy ...

  13. NREL: Energy Analysis - Register for Energy DataBus Demonstration

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

    Version Energy Analysis Home Capabilities & Expertise Key Activities Models & Tools The Energy Databus Mapping Tools Models & Tools Archive Data & Resources Publications...

  14. Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results

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

    2016 Estimates of State Energy-Related Carbon Dioxide Emissions Because energy-related carbon dioxide (CO2) constitutes over 80% of total emissions, the state energy- related CO2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO2 are based on data contained in the State Energy Data System (SEDS). 1 The

  15. NREL: Energy Analysis: Energy-Water Nexus

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

    Energy-Water Nexus A cartoon showing the nexus of water and energy using red and blue arrows to indicate the flow water and energy through generation, fuel production, and consumption. Source: U.S. Department of Energy, 2006 Enlarge image Water is required to produce energy. Energy is required to pump, treat, and transport water. The energy-water nexus examines the interactions between these two inextricably linked sectors. NREL helps policymakers, researchers, and investors understand and

  16. NREL: Energy Analysis - Nick Langle

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

    Langle Photo of Nick Langle. Nick Langle is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Front-End Web Engineer On staff since July 2010 Phone number: 303-275-3775 E-mail: nicholas.langle@nrel.gov Areas of expertise HTML/CSS/Javascript/jQuery UI/UX Responsive web design Semantic MediaWiki SEO Primary research interests Web design and usability Data visualization and analytics Geospatial analysis Transportation and alternative fuels Industrial

  17. NREL: Energy Analysis - Distributed Generation Energy Technology...

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

    The red horizontal lines represent the first standard deviation of the mean. The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) sponsored the distributed ...

  18. Property:EstimatedCostLowUSD | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Name EstimatedCostLowUSD Property Type Quantity Description the low estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  19. Property:EstimatedCostHighUSD | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Name EstimatedCostHighUSD Property Type Quantity Description the high estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  20. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Name EstimatedCostMedianUSD Property Type Quantity Description the median estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  1. Transport Energy Impact Analysis; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Gonder, J.

    2015-05-13

    Presented at the Sustainable Transportation Energy Pathways Spring 2015 Symposium on May 13, 2015, this presentation by Jeff Gonder of the National Renewable Energy Laboratory (NREL) provides information about NREL's transportation energy impact analysis of connected and automated vehicles.

  2. 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

  3. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications

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

    Estimates of Light Emitting Diodes in Niche Lighting Applications Prepared for: Building Technologies Program Office of Energy Efficiency and Renewable Energy U.S. Department of Energy Prepared by: Navigant Consulting Inc. 1801 K Street, NW Suite 500 Washington DC, 20006 September 2008 * Department of Energy Washington, DC 20585 Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications Released: September 2008 Revised: October 2008 This DOE report presents research

  4. NREL: Energy Analysis - David J. Feldman

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

    David J. Feldman Photo of David J. Feldman David J. Feldman is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Financial Analyst On staff since 2010 Phone number: 202-488-2231 E-mail: david.feldman@nrel.gov Areas of expertise Renewable energy project finance Corporate finance Solar energy market analysis Primary research interests Economic and market analysis of renewable energy technologies Renewable energy policy Corporate finance in energy sector

  5. Improving lidar-derived turbulence estimates for wind energy

    DOE PAGES-Beta [OSTI]

    Newman, Jennifer F.; Clifton, Andrew

    2016-07-08

    Remote sensing devices such as lidars are currently being investigated as alternatives to cup anemometers on meteorological towers. Although lidars can measure mean wind speeds at heights spanning an entire turbine rotor disk and can be easily moved from one location to another, they measure different values of turbulence than an instrument on a tower. Current methods for improving lidar turbulence estimates include the use of analytical turbulence models and expensive scanning lidars. While these methods provide accurate results in a research setting, they cannot be easily applied to smaller, commercially available lidars in locations where high-resolution sonic anemometer datamore » are not available. Thus, there is clearly a need for a turbulence error reduction model that is simpler and more easily applicable to lidars that are used in the wind energy industry. In this work, a new turbulence error reduction algorithm for lidars is described. The algorithm, L-TERRA, can be applied using only data from a stand-alone commercially available lidar and requires minimal training with meteorological tower data. The basis of L-TERRA is a series of corrections that are applied to the lidar data to mitigate errors from instrument noise, volume averaging, and variance contamination. These corrections are applied in conjunction with a trained machine-learning model to improve turbulence estimates from a vertically profiling WINDCUBE v2 lidar. L-TERRA was tested on data from three sites – two in flat terrain and one in semicomplex terrain. L-TERRA significantly reduced errors in lidar turbulence at all three sites, even when the machine-learning portion of the model was trained on one site and applied to a different site. Errors in turbulence were then related to errors in power through the use of a power prediction model for a simulated 1.5 MW turbine. L-TERRA also reduced errors in power significantly at all three sites, although moderate power errors remained for

  6. Indian Country Solar Energy Potential Estimates & DOE IE Updates

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

    Pathways to Sustained Energy Development in Oklahoma Oklahoma Tribal Leader Forum - August 2012 Oklahoma City, Oklahoma 1 Office of Indian Energy Goals and Objectives * Promote Indian tribal energy development, efficiency and use * Reduce or stabilize energy costs * Enhance and strengthen Indian tribal energy and economic infrastructure relating to natural resource development and electrification * Bring electrical power and service to Indian land and the homes of tribal members Energy Policy

  7. NREL: Energy Analysis - John (Jack) Mayernik

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

    John (Jack) Mayernik Photo of Jack Mayernik Jack Mayernik is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Building Energy Analyst On staff since 2015 Phone number: 202-488-2209 E-mail: john.mayernik@nrel.gov Areas of expertise Building sector analysis Logic models Econometrics Primary research interests Economic and market analysis of energy efficiency technologies Cost/benefit analysis of energy efficiency programs International and domestic energy efficiency

  8. State Energy Profiles and Estimates (SEDS) report Archives

    U.S. Energy Information Administration (EIA) (indexed site)

    Electricity Hydropower Biofuels: Ethanol & Biodiesel Wind Geothermal Solar Energy in Brief How much U.S. electricity is generated from renewable energy?...

  9. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    Office of Environmental Management (EM)

    Energy Commercialization - Technical Assistance Program - Solar Communities - Wind Powering America Energy Policy and Planning: Begin at the Beginning 5 * Policy drivers ...

  10. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    Office of Environmental Management (EM)

    ... Internships IE Policy Initiatives IE Deployment Innovation IE Business Roundtables Solar Energy Prospecting in Remote Alaska Arctic Coordination Sustainable Energy for Rural ...

  11. NREL: Energy Analysis - Parthiv Kurup

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

    Parthiv Kurup Photo of Parthiv Kurup Parthiv Kurup is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. CSP Cost Analyst and Engineer On staff since January 5, 2015 Phone number: 303-275-4013 E-mail: Parthiv.kurup@nrel.gov Areas of expertise Concentrated Solar Power (CSP) as a large scale power generation technology Worked on and developed CSP projects for the Indian power market Market knowledge of global CSP markets such as South

  12. Transportation Energy Futures Analysis Snapshot

    Energy.gov [DOE]

    Transportation currently accounts for 71% of total U.S. petroleum use and 33% of the nation's total carbon emissions. The TEF project explores how combining multiple strategies could reduce GHG emissions and petroleum use by 80%. Researchers examined four key areas – lightduty vehicles, non-light-duty vehicles, fuels, and transportation demand – in the context of the marketplace, consumer behavior, industry capabilities, technology and the energy and transportation infrastructure. The TEF reports support DOE long-term planning. The reports provide analysis to inform decisions about transportation energy research investments, as well as the role of advanced transportation energy technologies and systems in the development of new physical, strategic, and policy alternatives.

  13. NREL: Energy Analysis - Catherine Burke

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

    Catherine Burke Catherine Burke is the administrative assistant for the Technology Systems and Sustainability Analysis Group. Administrative Assistant On staff since May 2014 Phone number: 303-384-7414 E-mail: catherine.burke@nrel.gov Areas of expertise Overall Girl Friday Primary research interests Renewable fuels and vehicles Residential energy efficiency Prior work experience Global Strike Command, Barksdale AFB, Bossier City, LA (2014) The College of William and Mary, Williamsburg, VA (2010)

  14. NREL: Energy Analysis - Dani Salyer

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

    Dani Salyer Photo of Dani Salyer Dani Salyer is a member of the Strategic Energy Analysis Center. SEAC Project Assistant On staff since 2010 Phone number: 303-384-7439 E-mail: dani.salyer@nrel.gov Areas of expertise Project management Office management Industry research Proposal support Copy writing and editing Executive-level administrative and project support Sales and marketing management Operational systems development Primary research interests Multi-organizational administration Education

  15. Analysis of In-Use Fuel Economy Shortfall Based on Voluntarily Reported MPG Estimates

    SciTech Connect (OSTI)

    Greene, David L; Goeltz, Rick; Hopson, Dr Janet L; Tworek, Elzbieta

    2007-01-01

    The usefulness of the Environmental Protection Agency's (EPA) passenger car and light truck fuel economy estimates has been the subject of debate for the past three decades. For the labels on new vehicles and the fuel economy information given to the public, the EPA adjusts dynamometer test results downward by 10% for the city cycle and 22% for the highway cycle to better reflect real world driving conditions. These adjustment factors were developed in 1984 and their continued validity has repeatedly been questioned. In March of 2005 the U.S. Department of Energy (DOE) and EPA's fuel economy information website, www.fueleconomy.gov, began allowing users to voluntarily share fuel economy estimates. This paper presents an initial statistical analysis of more than 3,000 estimates submitted by website users. The analysis suggests two potentially important results: (1) adjusted, combined EPA fuel economy estimates appear to be approximately unbiased estimators of the average fuel economy consumers will experience in actual driving, and (2) the EPA estimates are highly imprecise predictors of any given individual's in-use fuel economy, an approximate 95% confidence interval being +/-7 MPG. These results imply that what is needed is not less biased adjustment factors for the EPA estimates but rather more precise methods of predicting the fuel economy individual consumers will achieve in their own driving.

  16. Table 3.4 Consumer Price Estimates for Energy by End-Use Sector...

    U.S. Energy Information Administration (EIA) (indexed site)

    Price Estimates for Energy by End-Use Sector, 1970-2010 (Dollars 1 per Million Btu) Year Residential Commercial Industrial Transportation Natural Gas 2 Petroleum Retail Electricity ...

  17. The Smart Grid: An Estimation of the Energy and Carbon Dioxide...

    Open Energy Information (Open El) [EERE & EIA]

    by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery in the United States. The quantitative estimates of...

  18. A simple tool for estimating city-wide annual electrical energy...

    Office of Scientific and Technical Information (OSTI)

    A simple tool for estimating city-wide annual electrical energy savings from cooler surfaces Citation Details In-Document Search This content will become publicly available on ...

  19. Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry

    SciTech Connect (OSTI)

    Love, Lonnie J

    2012-12-01

    The objective of this report is to estimate the impact (energy, emissions and economics) of United Fluid power (hydraulic and pneumatic actuation) is the generation, control, and application of pumped or compressed fluids when this power is used to provide force and motion to mechanisms. This form of mechanical power is an integral part of United States (U.S.) manufacturing and transportation. In 2008, according to the U.S. Census Bureau, sales of fluid power components exceeded $17.7B, sales of systems using fluid power exceeded $226B. As large as the industry is, it has had little fundamental research that could lead to improved efficiency since the late 1960s (prior to the 1970 energy crisis). While there have been some attempts to replace fluid powered components with electric systems, its performance and rugged operating condition limit the impact of simple part replacement. Oak Ridge National Laboratory and the National Fluid Power Association (NFPA) collaborated with 31 industrial partners to collect and consolidate energy specific measurements (consumption, emissions, efficiency) of deployed fluid power systems. The objective of this study was to establish a rudimentary order of magnitude estimate of the energy consumed by fluid powered systems. The analysis conducted in this study shows that fluid powered systems consumed between 2.0 and 2.9 Quadrillion (1015) Btus (Quads) of energy per year; producing between 310 and 380 million metric tons (MMT) of Carbon Dioxide (CO2). In terms of efficiency, the study indicates that, across all industries, fluid power system efficiencies range from less than 9% to as high as 60% (depending upon the application), with an average efficiency of 22%. A review of case studies shows that there are many opportunities to impact energy savings in both the manufacturing and transportation sectors by the development and deployment of energy efficient fluid power components and systems.

  20. Estimating the Benefits and Costs of Distributed Energy Technologies Workshop- Day 1 Presentations

    Office of Energy Efficiency and Renewable Energy (EERE)

    On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies.” Presentations from Day 1 are available here.

  1. Estimating the Benefits and Costs of Distributed Energy Technologies Workshop- Day 2 Presentations

    Energy.gov [DOE]

    On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies.” Presentations from Day 2 are available here.

  2. Estimating the Benefits and Costs of Distributed Energy Technologies Workshop- Agenda and Summary

    Energy.gov [DOE]

    On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on Estimating the Benefits and Costs of Distributed Energy Technologies. The agenda and summaries are available here.

  3. RETScreen Clean Energy Project Analysis Software | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    currency and units).4 The Energy Model worksheet is used to evaluate the proposed case system.5 The Load & Network Design worksheet is used to estimate the heating, cooling...

  4. Vulnerability Analysis of Energy Delivery Control Systems

    Office of Environmental Management (EM)

    than the adversary can launch new attack tools and techniques. "Industry estimates that ... These tools allow a qualitative analysis of the vulnerabilities found in control systems ...

  5. Vehicle Energy Consumption and Performance Analysis | Argonne...

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

    Consumption and Performance Analysis Vehicle Energy Consumption and Performance Analysis Argonne researchers have applied their expertise in modeling, simulation and control to ...

  6. Home Energy Score: Analysis & Improvements to Date

    Energy.gov [DOE]

    Home Energy Score: Analysis & Improvements to Date, a presentation from the U.S. Department of Energy, by Joan Glickman Senior Advisor/Program Manager, Home Energy Score, July 24, 2012.

  7. How to Estimate the Economic Impacts from Renewable Energy

    Energy.gov [DOE]

    U.S. Department of Energy Technical Assistance Project (TAP) for state and local officials; Gail Mosey and Eric Lantz, National Renewable Energy Laboratory; Jobs and Economic Development Impacts (JEDI) Wind Model.

  8. Energy savings estimates and cost benefit calculations for high...

    Office of Scientific and Technical Information (OSTI)

    ... Country of Publication: United States Language: English Subject: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; CALIFORNIA; CLIMATES; COMMERCIAL BUILDINGS; HVAC SYSTEMS; ...

  9. NREL: Energy Analysis - Matthew O'Connell

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

    Matthew O'Connell Photo of Matthew O'Connell. Matthew O'Connell is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Systems Engineer On staff since December 2014 Phone number: 303-384-7445 E-mail: matthew.oconnell@nrel.gov Areas of expertise Wind ramp detection methods Energy storage systems for renewable energy generation Statistical data analysis and modeling Primary research interests Increased renewable energy penetration in the electric

  10. Clean Energy Manufacturing Analysis Center (CEMAC)

    SciTech Connect (OSTI)

    2015-12-01

    The U.S. Department of Energy's Clean Energy Manufacturing Analysis Center (CEMAC) provides objective analysis and up-to-date data on global supply chains and manufacturing of clean energy technologies. Policymakers and industry leaders seek CEMAC insights to inform choices to promote economic growth and the transition to a clean energy economy.

  11. New analysis techniques for estimating impacts of federal appliance efficiency standards

    SciTech Connect (OSTI)

    McMahon, James E.

    2003-06-24

    Impacts of U.S. appliance and equipment standards have been described previously. Since 2000, the U.S. Department of Energy (DOE) has updated standards for clothes washers, water heaters, and residential central air conditioners and heat pumps. A revised estimate of the aggregate impacts of all the residential appliance standards in the United States shows that existing standards will reduce residential primary energy consumption and associated carbon dioxide (CO{sub 2}) emissions by 89 percent in 2020 compared to the levels expected without any standards. Studies of possible new standards are underway for residential furnaces and boilers, as well as a number of products in the commercial (tertiary) sector, such as distribution transformers and unitary air conditioners. The analysis of standards has evolved in response to critiques and in an attempt to develop more precise estimates of costs and benefits of these regulations. The newer analysis elements include: (1) valuing energy savings by using marginal (rather than average) energy prices specific to an end-use; (2) simulating the impacts of energy efficiency increases over a sample population of consumers to quantify the proportion of households having net benefits or net costs over the life of the appliance; and (3) calculating marginal markups in distribution channels to derive the incremental change in retail prices associated with increased manufacturing costs for improving energy efficiency.

  12. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Renewable Energy

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

    Economic Potential Economic Potential Types of Renewable Generation Potential 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. Enlarge image The report Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results describes a geospatial analysis method to estimate the economic potential of several renewable resources available for

  13. Anisotropic parameter estimation using velocity variation with offset analysis

    SciTech Connect (OSTI)

    Herawati, I.; Saladin, M.; Pranowo, W.; Winardhie, S.; Priyono, A.

    2013-09-09

    Seismic anisotropy is defined as velocity dependent upon angle or offset. Knowledge about anisotropy effect on seismic data is important in amplitude analysis, stacking process and time to depth conversion. Due to this anisotropic effect, reflector can not be flattened using single velocity based on hyperbolic moveout equation. Therefore, after normal moveout correction, there will still be residual moveout that relates to velocity information. This research aims to obtain anisotropic parameters, ? and ?, using two proposed methods. The first method is called velocity variation with offset (VVO) which is based on simplification of weak anisotropy equation. In VVO method, velocity at each offset is calculated and plotted to obtain vertical velocity and parameter ?. The second method is inversion method using linear approach where vertical velocity, ?, and ? is estimated simultaneously. Both methods are tested on synthetic models using ray-tracing forward modelling. Results show that ? value can be estimated appropriately using both methods. Meanwhile, inversion based method give better estimation for obtaining ? value. This study shows that estimation on anisotropic parameters rely on the accuracy of normal moveout velocity, residual moveout and offset to angle transformation.

  14. Property:EstimatedTimeMedian | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeMedian" Showing 25 pages...

  15. Property:EstimatedTimeLow | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeLow" Showing 25 pages...

  16. Property:EstimatedTimeHigh | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeHigh" Showing 25 pages...

  17. Cities Leading through Energy Analysis and Planning | Department of Energy

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

    Us » Initiatives & Projects » Cities Leading through Energy Analysis and Planning Cities Leading through Energy Analysis and Planning Energy Department awards nearly $1.3 Million to encourage data-driven local energy planning Energy Department awards nearly $1.3 Million to encourage data-driven local energy planning Read more Learn about CO2 abatement potential from an NREL study Learn about CO2 abatement potential from an NREL study Read more Find energy use data for your city! Find

  18. NREL: Energy Analysis - John Krueger

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

    and Renewable Energy Office's Alternative Fuels Data Center CNG Vehicle Fueling Animation U.S. DOE Energy Efficiency and Renewable Energy Office's Fleet Sustainability...

  19. Estimating Renewable Energy Economic Potential in the United States. Methodology and Initial Results

    SciTech Connect (OSTI)

    Brown, Austin; Beiter, Philipp; Heimiller, Donna; Davidson, Carolyn; Denholm, Paul; Melius, Jennifer; Lopez, Anthony; Hettinger, Dylan; Mulcahy, David; Porro, Gian

    2015-07-30

    This report describes a geospatial analysis method to estimate the economic potential of several renewable resources available for electricity generation in the United States. Economic potential, one measure of renewable generation potential, may be defined in several ways. For example, one definition might be expected revenues (based on local market prices) minus generation costs, considered over the expected lifetime of the generation asset. Another definition might be generation costs relative to a benchmark (e.g., a natural gas combined cycle plant) using assumptions of fuel prices, capital cost, and plant efficiency. Economic potential in this report is defined as the subset of the available resource technical potential where the cost required to generate the electricity (which determines the minimum revenue requirements for development of the resource) is below the revenue available in terms of displaced energy and displaced capacity. The assessment is conducted at a high geospatial resolution (more than 150,000 technology-specific sites in the continental United States) to capture the significant variation in local resource, costs, and revenue potential. This metric can be a useful screening factor for understanding the economic viability of renewable generation technologies at a specific location. In contrast to many common estimates of renewable energy potential, economic potential does not consider market dynamics, customer demand, or most policy drivers that may incent renewable energy generation.

  20. Bayesian Estimates of Free Energies from Nonequilibrium Work Data in the Presence of Instrument Noise

    SciTech Connect (OSTI)

    Maragakis, Paul; Ritort, Felix; Bustamante, Carlos; Karplus, Martin; Crooks, Gavin E.

    2008-07-08

    The Jarzynski equality and the fluctuation theorem relate equilibrium free energy differences to nonequilibrium measurements of the work. These relations extend to single-molecule experiments that have probed the finite-time thermodynamics of proteins and nucleic acids. The effects of experimental error and instrument noise have not been considered previously. Here, we present a Bayesian formalism for estimating free energy changes from nonequilibrium work measurements that compensates for instrument noise and combines data from multiple driving protocols. We reanalyze a recent set of experiments in which a single RNA hairpin is unfolded and refolded using optical tweezers at three different rates. Interestingly, the fastest and farthest-from-equilibrium measurements contain the least instrumental noise and, therefore, provide a more accurate estimate of the free energies than a few slow, more noisy, near-equilibrium measurements. The methods we propose here will extend the scope of single-molecule experiments; they can be used in the analysis of data from measurements with atomic force microscopy, optical, and magnetic tweezers

  1. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    Office of Environmental Management (EM)

    * Wind * Geothermal * Biomass * Hydro * Solar * Fuel cells * Small wind * Geothermal Depreciation can be taken with either PTC or ITC Basis Energy produced over 10-year period. ...

  2. Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use

    SciTech Connect (OSTI)

    Zhou, Yuyu; Weng, Qihao; Gurney, Kevin R.; Shuai, Yanmin; Hu, Xuefei

    2012-01-01

    This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from residential and commercial buildings across multiple scales in the city of Indianapolis, Indiana, USA. Anthropogenic heat discharge was estimated based on a remote sensing-based surface energy balance model, which was parameterized using land cover, land surface temperature, albedo, and meteorological data. Building energy use was estimated using a GIS-based building energy simulation model in conjunction with Department of Energy/ Energy Information Administration survey data, Assessor's parcel data, GIS floor areas data, and remote sensing-derived building height data.

  3. International Clean Energy Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    in developing countries. This wiki-based dynamic platform allows you to add to the inventory of clean energy organizations, tools, programs and data included on the site. We...

  4. Category:EERE Analysis Tools | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    policymakers can access energy analysis products related to renewable energy and energy efficiency, including published analyses, energy data and maps, and analysis tools such as...

  5. DOE Announces Webinars on Analysis in Clean Energy Manufacturing...

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

    Analysis in Clean Energy Manufacturing and Superior Energy Performance DOE Announces Webinars on Analysis in Clean Energy Manufacturing and Superior Energy Performance September 3, ...

  6. NREL: Energy Analysis - Francisco Flores-Espino

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

    ... and R. Wiser. 2014. Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards. NRELTP-6A20-61042. Golden, CO: National Renewable Energy Laboratory. ...

  7. Current Work in Energy Analysis (Energy Analysis Program -1996 Annual Report)

    SciTech Connect (OSTI)

    Energy Analysis Program

    1998-03-01

    This report describes the work that Environmental Energy Technologies Division of Lawrence Berkeley National Laboratory has been doing most recently. One of our proudest accomplishments is the publication of Scenarios of U.S. Carbon Reductions, an analysis of the potential of energy technologies to reduce carbon emissions in the U.S. This analysis played a key role in shaping the U.S. position on climate change in the Kyoto Protocol negotiations. Our participation in the fundamental characterization of the climate change issue by the IPCC is described. We are also especially proud of our study of ''leaking electricity,'' which is stimulating an international campaign for a one-watt ceiling for standby electricity losses from appliances. This ceiling has the potential to save two-thirds of the 5% of U.S. residential electricity currently expended on standby losses. The 54 vignettes contained in the following pages summarize results of research. activities ranging in scale from calculating the efficacy of individual lamp ballasts to estimating the cost-effectiveness of the national ENERGY STAR{reg_sign} labeling program, and ranging in location from a scoping study of energy-efficiency market transformation in California to development of an energy-efficiency project in the auto parts industry in Shandong Province, China. These are the intellectual endeavors of a talented team of researchers dedicated to public service.

  8. NREL: Energy Analysis - Ocean Energy Results - Life Cycle Assessment...

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

    To better understand ocean energy systems, NREL completed a comprehensive review and analysis of life cycle assessments on wave and tidal power systems published between 1980 and ...

  9. 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

  10. Procedure for estimating fracture energy from fracture surface roughness

    DOE Patents [OSTI]

    Williford, Ralph E.

    1989-01-01

    The fracture energy of a material is determined by first measuring the length of a profile of a section through a fractured surface of the material taken on a plane perpendicular to the mean plane of that surface, then determining the fractal dimensionality of the surface. From this, the yield strength of the material, and the Young's Modulus of that material, the fracture energy is calculated.

  11. A Sensitivity Analysis of a Thin Film Conductivity Estimation Method

    SciTech Connect (OSTI)

    McMasters, Robert L; Dinwiddie, Ralph Barton

    2010-01-01

    An analysis method was developed for determining the thermal conductivity of a thin film on a substrate of known thermal properties using the flash diffusivity method. In order to determine the thermal conductivity of the film using this method, the volumetric heat capacity of the film must be known, as determined in a separate experiment. Additionally, the thermal properties of the substrate must be known, including conductivity and volumetric heat capacity. The ideal conditions for the experiment are a low conductivity film adhered to a higher conductivity substrate. As the film becomes thinner with respect to the substrate or, as the conductivity of the film approaches that of the substrate, the estimation of thermal conductivity of the film becomes more difficult. The present research examines the effect of inaccuracies in the known parameters on the estimation of the parameter of interest, the thermal conductivity of the film. As such, perturbations are introduced into the other parameters in the experiment, which are assumed to be known, to find the effect on the estimated thermal conductivity of the film. A baseline case is established with the following parameters: Substrate thermal conductivity 1.0 W/m-K Substrate volumetric heat capacity 106 J/m3-K Substrate thickness 0.8 mm Film thickness 0.2 mm Film volumetric heat capacity 106 J/m3-K Film thermal conductivity 0.01 W/m-K Convection coefficient 20 W/m2-K Magnitude of heat absorbed during the flash 1000 J/m2 Each of these parameters, with the exception of film thermal conductivity, the parameter of interest, is varied from its baseline value, in succession, and placed into a synthetic experimental data file. Each of these data files is individually analyzed by the program to determine the effect on the estimated film conductivity, thus quantifying the vulnerability of the method to measurement errors.

  12. Estimating the Cost and Energy Efficiency of a Solar Water Heater |

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

    Department of Energy the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater Solar water heaters are more efficient the gas or electric heaters. | Chart credit ENERGY STAR Solar water heaters are more efficient the gas or electric heaters. | Chart credit ENERGY STAR Solar water heating systems usually cost more to purchase and install than conventional water heating systems. However, a solar water heater can usually save you

  13. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    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.

  14. San Carlos Apache Tribe - Energy Organizational Analysis

    SciTech Connect (OSTI)

    Rapp, James; Albert, Steve

    2012-04-01

    The San Carlos Apache Tribe (SCAT) was awarded $164,000 in late-2011 by the U.S. Department of Energy (U.S. DOE) Tribal Energy Program's "First Steps Toward Developing Renewable Energy and Energy Efficiency on Tribal Lands" Grant Program. This grant funded:  The analysis and selection of preferred form(s) of tribal energy organization (this Energy Organization Analysis, hereinafter referred to as "EOA").  Start-up staffing and other costs associated with the Phase 1 SCAT energy organization.  An intern program.  Staff training.  Tribal outreach and workshops regarding the new organization and SCAT energy programs and projects, including two annual tribal energy summits (2011 and 2012). This report documents the analysis and selection of preferred form(s) of a tribal energy organization.

  15. Assistant Administrator for Energy Analysis

    Energy.gov [DOE]

    The U.S. Energy Information Administration (EIA) collects, analyzes and disseminates independent and impartial energy information to promote sound policymaking, efficient markets and public...

  16. NREL: Energy Analysis - Ella Zhou

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

    Areas of expertise Power system modeling Integrating water and cooling system, energy storage, and demandresponse into grid simulation and optimization models International energy ...

  17. NREL: Energy Analysis - Josh Novacheck

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

    Wind and solar energy integration into the grid Sustainable energy systems Education and background training M.S.E in mechanical engineering, University of Michigan, Ann Arbor, MI, ...

  18. NREL: Energy Analysis - Monisha Shah

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

    between energy, environment, and economics The impact of climate change and energy ... University of Iowa, 2000 B.S. in economics, University of Iowa, 2000 Prior work ...

  19. NREL: Energy Analysis - Ilya Chernyakhovskiy

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

    Primary research interests Policy impacts on renewable energy markets and industry Grid integration of renewable energy International low emission development strategies Education ...

  20. Estimate of Geothermal Energy Resource in Major U.S. Sedimentary Basins (Presentation), NREL (National Renewable Energy Laboratory)

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

    ESTIMATE OF GEOTHERMAL ENERGY RESOURCE IN MAJOR U.S. SEDIMENTARY BASINS Colleen Porro and Chad Augustine April 24, 2012 National Renewable Energy Lab, Golden, CO NREL/PR-6A20-55017 NATIONAL RENEWABLE ENERGY LABORATORY Sedimentary Basin Geothermal WHAT IS SEDIMENTARY BASIN GEOTHERMAL? 2 Geothermal Energy from Sedimentary Rock - Using hot" geothermal fluids (>100 o C) produced from sedimentary basins to generate electricity - Advantages: * Reservoirs are porous, permeable, and well

  1. Dynamic Analysis of Nuclear Energy System Strategies

    Energy Science and Technology Software Center (OSTI)

    2004-06-17

    DANESS is an integrated process model for nuclear energy systems allowing the simulation of multiple reactors and fuel cycles in a continuously changing nuclear reactor park configuration. The model is energy demand driven and simulates all nuclear fuel cycle facilites, up to 10 reactors and fuels. Reactor and fuel cycle facility history are traced and the cost of generating energy is calculated per reactor and for total nuclear energy system. The DANESS model aims atmore » performing dynamic systems analysis of nuclear energy development used for integrated analysis of development paths for nuclear energy, parameter scoping for new nuclear energy systems, economic analysis of nuclear energy, government role analysis, and education.« less

  2. Energy Literacy Video Analysis Guide | Department of Energy

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

    Video Analysis Guide Energy Literacy Video Analysis Guide Below is information about the student activity/lesson plan from your search. Grades K-12 Subject Fundamentals of energy Summary A guide for discussion related to the information and imagery presented in the Energy Literacy video series. There are two versions of the guide, one for the teacher and one for the students. Curriculum Natural Sciences, Social Studies, Physics, Politics, Economics Time Required 3-4 class periods Owner American

  3. Built Environment Energy Analysis Tool | Department of Energy

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

    Built Environment Energy Analysis Tool Built Environment Energy Analysis Tool This documentation describes the development of a tool created to evaluate the effects of built environment scenarios on transportation energy and greenhouse gas (GHG) emissions, and provides guidance on how to apply the tool. Documentation Presentation More Documents & Publications Revised Draft Guidance on Consideration of Greenhouse Gas Emissions and Climate Change in NEPA Reviews Scenario Development for the

  4. Minimizing User Burden in Building Energy Analysis | Department of Energy

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

    Minimizing User Burden in Building Energy Analysis Minimizing User Burden in Building Energy Analysis Lead Performer: ThermoAnalytics Inc. - Calumet, MI DOE Funding: $145,684 Cost Share: N/A Project Term: June 2014 - March 2015 Funding Opportunity: Small Business Innovation Research FY 2014 Phase 1 Release 2 Awards Project Objective ThermoAnalytics Inc. (TAI), in partnership with Skidmore, Owings, & amp; Merrill LLP (SOM), will develop an integrated workflow for constructing energy models of

  5. Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; Graf, P.; Scott, G.; Damiami, R.; Hand, M.; Meadows, R.; Musial, W.; Moriarty, P.; Veers, P.

    2012-10-01

    No matter the source, offshore wind energy plant cost estimates are significantly higher than for land-based projects. For instance, a National Renewable Energy Laboratory (NREL) review on the 2010 cost of wind energy found baseline cost estimates for onshore wind energy systems to be 71 dollars per megawatt-hour ($/MWh), versus 225 $/MWh for offshore systems. There are many ways that innovation can be used to reduce the high costs of offshore wind energy. However, the use of such innovation impacts the cost of energy because of the highly coupled nature of the system. For example, the deployment of multimegawatt turbines can reduce the number of turbines, thereby reducing the operation and maintenance (O&M) costs associated with vessel acquisition and use. On the other hand, larger turbines may require more specialized vessels and infrastructure to perform the same operations, which could result in higher costs. To better understand the full impact of a design decision on offshore wind energy system performance and cost, a system analysis approach is needed. In 2011-2012, NREL began development of a wind energy systems engineering software tool to support offshore wind energy system analysis. The tool combines engineering and cost models to represent an entire offshore wind energy plant and to perform system cost sensitivity analysis and optimization. Initial results were collected by applying the tool to conduct a sensitivity analysis on a baseline offshore wind energy system using 5-MW and 6-MW NREL reference turbines. Results included information on rotor diameter, hub height, power rating, and maximum allowable tip speeds.

  6. NREL Job Task Analysis: Energy Auditor

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

    Energy Auditor Chuck Kurnik National Renewable Energy Laboratory Cynthia Woodley Professional Testing Inc. Technical Report NREL/TP-7A20-51672 May 2011 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. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 NREL Job Task Analysis: Energy Auditor

  7. NREL: Energy Analysis - Billy J. Roberts

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

    Billy J. Roberts Photo of Billy Roberts Billy J. Roberts is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist III - GIS On staff since 2007 Phone number: 303-275-3824 E-mail: billy.roberts@nrel.gov Areas of expertise Spatial analysis and cartography Primary research interests Renewable energy and cartographic technique Wildlife and energy technology interactions Geothermal technology Education and background training M.S. Certificate in

  8. NREL: Energy Analysis - Brian W Bush

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

    Brian W Bush Photo of Brian Bush Brian W Bush is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Principal Strategic Analyst On staff from January 2008 Phone number: (303) 384-7472 E-mail: brian.bush@nrel.gov Areas of expertise Energy and infrastructure modeling, simulation, and analysis High performance computing Software architecture, design, implementation, and testing Discrete-event and continuous simulation Statistical analysis Geographic

  9. Indian Country Solar Energy Potential Estimates & DOE IE Updates

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

    Financing Colton Heaps National Renewable Energy Laboratory 1 2 1 Potential 3 Refinement 5 Operations & Maintenance 2 Options 4 Implementation 3 Refinement Potential Options Refinement Implementation Operations & Maintenance 60% Implementation 25% Refinement 10% Design 5% Potential What is a "Project"? A completed project is a business with commercial activity. Parent Entity Project Development Stages - % Resource Inputs, Time/$ Project Entity 3 4 4 Host Electricity Sales (PPA)

  10. 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

  11. Photovoltaics Value Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Tool Summary LAUNCH TOOL Name: Photovoltaics Value Analysis Focus Area: Renewable Energy Topics: Environmental Website: www.nrel.govanalysispdfs42303.pdf Equivalent URI:...

  12. Strategic Energy Analysis at NREL (Presentation)

    SciTech Connect (OSTI)

    Arent, D. J.

    2007-11-01

    This presentation on strategic energy analysis at NREL was presented as part of NREL's Industry Growth Forum on in November 2007.

  13. Hydrogen for Energy Storage Analysis Overview (Presentation)

    SciTech Connect (OSTI)

    Steward, D. M.; Ramsden, T.; Harrison, K.

    2010-06-01

    Overview of hydrogen for energy storage analysis presented at the National Hydrogen Association Conference & Expo, May 3-6, 2010, Long Beach, CA.

  14. NREL: Energy Analysis - Ann Herlevich Brennan

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

    management, decision tools, and Web applications to enable REEE market Communications strategy, technical writing, and outreach Techno-economic analysis of renewable energy...

  15. Industrial Geospatial Analysis Tool for Energy Evaluation (IGATE-E)

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R; Ma, Ookie; Nimbalkar, Sachin U; Cox, Daryl

    2013-01-01

    IGATE-E is an energy analysis tool for industrial energy evaluation. The tool applies statistical modeling to multiple publicly available datasets and provides information at the geospatial resolution of zip code using bottom up approaches. Within each zip code, the current version of the tool estimates electrical energy consumption of manufacturing industries based on each type of industries using DOE s Industrial Assessment Center database (IAC-DB) and DOE s Energy Information Administration Manufacturing Energy Consumption Survey database (EIA-MECS DB), in addition to other commercially available databases such as the Manufacturing News database (MNI, Inc.). Ongoing and future work include adding modules for the predictions of fuel energy consumption streams, manufacturing process steps energy consumption, major energy intensive processes (EIPs) within each industry type among other metrics of interest. The tool provides validation against DOE s EIA-MECS state level energy estimations and permits several statistical examinations. IGATE-E is intended to be a decision support and planning tool to a wide spectrum of energy analysts, researchers, government organizations, private consultants, industry partners, and alike.

  16. Derived annual estimates of manufacturing energy consumption, 1974--1988. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, purchased'' energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as offsite-produced fuels.''

  17. Estimating the energy of stitching together the Maxwell and Fermi neutron spectra

    SciTech Connect (OSTI)

    Ionov, V. S. Marin, S. V.

    2014-12-15

    The energy of stitching together the Maxwell and Fermi spectra is estimated on the basis of experimental data and the results of calculations carried out using the MCU-RFFI and MCU-5 codes.

  18. An Energy Signature Scheme for Steam Trap Assessment and Flow Rate Estimation Using Pipe-Induced Acoustic Measurements

    SciTech Connect (OSTI)

    Olama, Mohammed M; Allgood, Glenn O; Kuruganti, Phani Teja; Lake, Joe E

    2012-01-01

    The US Congress has passed legislation dictating that all government agencies establish a plan and process for improving energy efficiencies at their sites. In response to this legislation, Oak Ridge National Laboratory (ORNL) has recently conducted a pilot study to explore the deployment of a wireless sensor system for a real-time measurement-based energy efficiency optimization framework within the steam distribution system within the ORNL campus. We make assessments on the real-time status of the distribution system by observing the state measurements of acoustic sensors mounted on the steam pipes/traps/valves. In this paper, we describe a spectral-based energy signature scheme that interprets acoustic vibration sensor data to estimate steam flow rates and assess steam traps health status. Experimental results show that the energy signature scheme has the potential to identify different steam trap health status and it has sufficient sensitivity to estimate steam flow rate. Moreover, results indicate a nearly quadratic relationship over the test region between the overall energy signature factor and flow rate in the pipe. The analysis based on estimated steam flow and steam trap status helps generate alerts that enable operators and maintenance personnel to take remedial action. The goal is to achieve significant energy-saving in steam lines by monitoring and acting on leaking steam pipes/traps/valves.

  19. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  20. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    2014-06-12

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  1. Resource Analysis | Department of Energy

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

    Systems Analysis » Analysis Methodologies » Resource Analysis Resource Analysis Resource Analysis determines the quantity and location of resources needed to produce hydrogen. Additionally, resource analysis quantifies the cost of the resources, as a function of the amount that can be available for hydrogen production. While often associated with renewable resources, resource analysis is also suitable for fossil resources and existing production facilities. Geographic Information Systems (GIS)

  2. Hydrogen Analysis | Department of Energy

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

    Analysis Hydrogen Analysis Presentation on Hydrogen Analysis to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004 to discuss and define role of systems analysis in DOE Hydrogen Program. 6_h2a_mann.pdf (256.57 KB) More Documents & Publications H2A Delivery Models and Results H2A Delivery Components Model and Analysis Hydrogen Delivery Analysis Plus Meeting: DTT, STT, HPTT, Other Analysts, Invited Guests

  3. NREL: Energy Analysis - Donna Heimiller

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

    ... Cowlin, S.C., D. Heimiller, D. Bilello, and D. Renne. "Technical Potential of Solar Energy to Address Energy Poverty and Avoid GHG Emissions in Africa." Paper presented at ...

  4. U.S. Lighting Market Characterization Volume I: National Lighting Inventory and Energy Consumption Estimate Final Report

    SciTech Connect (OSTI)

    None, None

    2002-09-01

    Multiyear study to evaluate light sources and identify opportunities for saving energy. This report estimates energy consumption for residential, commercial, industrial, and outdoor stationary.

  5. NREL: Energy Analysis: Resource Assessment

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

    Resource Assessment NREL has developed maps and tools to conduct renewable energy resource assessments at the state, national and international level. Around the world, interest is growing in renewable energy as a strategy to mitigate greenhouse gas emissions and increase energy security. The starting point for new renewable energy projects is a characterization of the renewable resources available across a region, a resource assessment. NREL uses geospatial data sets to identify regions that

  6. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    SciTech Connect (OSTI)

    Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie

    2008-06-03

    ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

  7. Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review |...

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

    Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review Presenter: Scott Horowitz, National Renewable Energy ...

  8. Home Energy Score Pilot Analysis Webinar (Text Version) | Department...

    Energy Savers

    Home Energy Score Pilot Analysis Webinar (Text Version) Home Energy Score Pilot Analysis Webinar (Text Version) Below is a text version of the webinar titled "Home Energy Score: ...

  9. Comparison of Methods for Estimating the NOx Emission Impacts of Energy Efficiency and Renewable Energy Projects: Shreveport, Louisiana Case Study (Revised)

    SciTech Connect (OSTI)

    Chambers, A.; Kline, D. M.; Vimmerstedt, L.; Diem, A.; Dismukes, D.; Mesyanzhinov, D.

    2005-07-01

    This is a case study comparing methods of estimating the NOx emission impacts of energy efficiency and renewable energy projects in Shreveport, Louisiana.

  10. NREL: Energy Analysis - Wind Technology Analysis

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

    Wind and Hydropower Technology Analysis Wind and hydropower analysis supports advanced technologies that convert more of the nation's wind into electricity. Grid Operational Impact Analysis The wind program will address the variable, normally uncontrollable nature of wind power plant output, and the additional needs that its operation imposes on the overall grid. At present, the generation and transmission operational impacts that occur due to wind variability are not well quantified. This

  11. Energy Analysis Program 1990 annual report

    SciTech Connect (OSTI)

    Not Available

    1992-01-01

    The Energy Analysis Program has played an active role in the analysis and discussion of energy and environmental issues at several levels. (1) at the international level, with programs as developing scenarios for long-term energy demand in developing countries and organizing leading an analytic effort, ``Energy Efficiency, Developing Countries, and Eastern Europe,`` part of a major effort to increase support for energy efficiency programs worldwide; (2) at national level, the Program has been responsible for assessing energy forecasts and policies affecting energy use (e.g., appliance standards, National Energy Strategy scenarios); and (3) at the state and utility levels, the Program has been a leader in promoting integrated resource utility planning; the collaborative process has led to agreement on a new generation of utility demand-site programs in California, providing an opportunity to use knowledge and analytic techniques of the Program`s researchers. We continue to place highest on analyzing energy efficiency, with particular attention given to energy use in buildings. The Program continues its active analysis of international energy issues in Asia (including China), the Soviet Union, South America, and Western Europe. Analyzing the costs and benefits of different levels of standards for residential appliances continues to be the largest single area of research within the Program. The group has developed and applied techniques for forecasting energy demand (or constructing scenarios) for the United States. We have built a new model of industrial energy demand, are in the process of making major changes in our tools for forecasting residential energy demand, have built an extensive and documented energy conservation supply curve of residential energy use, and are beginning an analysis of energy-demand forecasting for commercial buildings.

  12. Energy Analysis Program 1990 annual report

    SciTech Connect (OSTI)

    Not Available

    1992-01-01

    The Energy Analysis Program has played an active role in the analysis and discussion of energy and environmental issues at several levels. (1) at the international level, with programs as developing scenarios for long-term energy demand in developing countries and organizing leading an analytic effort, Energy Efficiency, Developing Countries, and Eastern Europe,'' part of a major effort to increase support for energy efficiency programs worldwide; (2) at national level, the Program has been responsible for assessing energy forecasts and policies affecting energy use (e.g., appliance standards, National Energy Strategy scenarios); and (3) at the state and utility levels, the Program has been a leader in promoting integrated resource utility planning; the collaborative process has led to agreement on a new generation of utility demand-site programs in California, providing an opportunity to use knowledge and analytic techniques of the Program's researchers. We continue to place highest on analyzing energy efficiency, with particular attention given to energy use in buildings. The Program continues its active analysis of international energy issues in Asia (including China), the Soviet Union, South America, and Western Europe. Analyzing the costs and benefits of different levels of standards for residential appliances continues to be the largest single area of research within the Program. The group has developed and applied techniques for forecasting energy demand (or constructing scenarios) for the United States. We have built a new model of industrial energy demand, are in the process of making major changes in our tools for forecasting residential energy demand, have built an extensive and documented energy conservation supply curve of residential energy use, and are beginning an analysis of energy-demand forecasting for commercial buildings.

  13. Pawnee Nation - Energy Options Analysis

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

    DOE First Steps Project DOE Tribal Program Review November 8, 2007 Kevin Cooney Summit Blue Consulting, LLC kcooney@summitblue.com 720-564-1130 Kelton Kersey Pawnee Nation kkersey@pawneenation.org (918) 762-3621 Carolyn Stewart Red Mountain Tribal Energy cstewart@redmtntribalenergy.com (602) 516-7540 1 Overview of Presentation * Background * Project Objectives * Activities Performed * Renewable Energy Resource Development Opportunities * Electric Utility Options * Energy Efficiency

  14. Analysis of the energy impacts of the DOE Appropriate Energy Technology Small Grants Program: methods and results

    SciTech Connect (OSTI)

    Lucarelli, B.; Kessel, J.; Kay, J.; Linse, J.; Tompson, S.; Homer, M.

    1981-02-01

    In 1977, Congress directed DOE to create an energy grants program with the object of funding individuals, small businesses, and nonprofit organizations to develop technologies that use renewable energy resources. The Small Grants Program was created and this report assesses the energy savings potential of the program. The first step in the analysis was to assess the energy-savings potential of 57 projects. Program energy savings were then estimated from project savings using statistical inference. Chapter 2 presents estimates of direct energy savings for the 57 projects and discusses direct energy savings. Chapter 3 discusses the methods and results of the economic analysis. Chapter 4 examines the indirect savings. Because of the large size of the sample, neither project descriptions nor specific details of each project analysis are included. Instead, two examples from the analysis are presented in Chapters 2, 3, and 4 to illustrate the methods. The results of the analysis and key project data are summarized. Chapter 5 presents estimates of program energy savings and the methods used to obtain them. The report concludes with a discussion of how improved project selection can increase program energy savings and present two approaches for conducting future energy-impact studies.

  15. NREL: Energy Analysis - Debbie Brodt-Giles

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

    Debbie Brodt-Giles Photo of Debbie Brodt-Giles. Debbie Brodt-Giles is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Digital Assets Supervisor On staff since 1995 Phone number: 303-275-4440 E-mail: debbie.brodt.giles@nrel.gov Areas of expertise Advanced transportation and alternative fuels Information resources Data management and visualization Online tools Primary research interests Open energy data International energy data connections and

  16. NREL: Energy Analysis - Emily K. Newes

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

    Emily K. Newes Photo of Emily K. Newes. Emily K. Newes is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Energy Analyst - Impacts & Barriers Characterization Supervisor On staff since September 2009 Phone number: 303-275-3802 Email: emily.newes@nrel.gov Areas of expertise Investigating the relationship between fossil and renewable resources by development of the Stochastic Energy Deployment System (SEDS) Analyzing variation in

  17. NREL: Energy Analysis - Victor Diakov

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

    IN, 2002 Specialist in international finance, Russian Academy of Science, Moscow, ... pilot plant tests at Clean Energy Development Facility, Alliance, OH University ...

  18. NREL: Energy Analysis - Jay Huggins

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

    Solr, Nagios Primary research interests LAMP web development and data transformation Big Data Optimization and automation Human-powered renewable energy sources The Internet of ...

  19. Geothermal Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Measuring the Costs and Economic, Social, and Environmental Benefits of Nationwide Geothermal Heat Pump Deployment And The Potential Employment, Energy, and Environmental...

  20. NREL: Energy Analysis - Aaron Townsend

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

    Electrical energy storage Primary research interests Electricity and natural gas market design and implementation Impact of market structure and out-of-market incentives...

  1. ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE

    SciTech Connect (OSTI)

    Sathaye, Jayant; Dale, Larry; Larsen, Peter; Fitts, Gary; Koy, Kevin; Lewis, Sarah; Lucena, Andre

    2011-06-22

    This report outlines the results of a study of the impact of climate change on the energy infrastructure of California and the San Francisco Bay region, including impacts on power plant generation; transmission line and substation capacity during heat spells; wildfires near transmission lines; sea level encroachment upon power plants, substations, and natural gas facilities; and peak electrical demand. Some end-of-century impacts were projected:Expected warming will decrease gas-fired generator efficiency. The maximum statewide coincident loss is projected at 10.3 gigawatts (with current power plant infrastructure and population), an increase of 6.2 percent over current temperature-induced losses. By the end of the century, electricity demand for almost all summer days is expected to exceed the current ninetieth percentile per-capita peak load. As much as 21 percent growth is expected in ninetieth percentile peak demand (per-capita, exclusive of population growth). When generator losses are included in the demand, the ninetieth percentile peaks may increase up to 25 percent. As the climate warms, California's peak supply capacity will need to grow faster than the population.Substation capacity is projected to decrease an average of 2.7 percent. A 5C (9F) air temperature increase (the average increase predicted for hot days in August) will diminish the capacity of a fully-loaded transmission line by an average of 7.5 percent.The potential exposure of transmission lines to wildfire is expected to increase with time. We have identified some lines whose probability of exposure to fire are expected to increase by as much as 40 percent. Up to 25 coastal power plants and 86 substations are at risk of flooding (or partial flooding) due to sea level rise.

  2. Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial

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

    Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results Austin Brown, Philipp Beiter, Donna Heimiller, Carolyn Davidson, Paul Denholm, Jennifer Melius, Anthony Lopez, Dylan Hettinger, David Mulcahy, and Gian Porro Webinar, 02/24/16 Philipp Beiter Energy Markets and Policy Analyst NREL Presenter: 2 PRELIMINARY - NOT FOR DISTRIBUTION, PUBLICATION, QUOTATION, OR CITATION Topics I. U.S. Renewable Energy Trends 1. Capacity and Generation 2. Capacity

  3. NREL: Energy Analysis - Kelsey A. W. Horowitz

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

    Kelsey A. W. Horowitz Photo of Kelsey A. W. Horowitz Kelsey A. W. Horowitz is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Solar Manufacturing Costs and Competitiveness Analyst On staff since May 2014 Phone number: 303-275-4347 E-mail: Kelsey.horowitz@nrel.gov Areas of expertise Techno-economic analysis Clean energy technologies Solar PV engineering and fundamentals International issues in manufacturing Primary research interests

  4. Policy and Analysis Publications | Department of Energy

    Energy Savers

    Publications Policy and Analysis Publications Policy and Analysis conducts cross-cutting and portfolio-based analyses of EERE technologies and the interrelationships among technologies, markets and policies; and provides quantified impacts of EERE investments in clean energy technology innovation and deployment. For more energy data and analysis resources, visit OpenEI and the EERE Publication and Product Library. Home | Program Evaluation | Data and Tools | Contact Us Year Publication Type

  5. Annual Energy Consumption Analysis Report for Richland Middle School

    SciTech Connect (OSTI)

    Liu, Bing

    2003-12-18

    Richland Middle School is a single story, 90,000 square feet new school located in Richland, WA. The design team proposed four HVAC system options to serve the building. The proposed HVAC systems are listed as following: (1) 4-pipe fan coil units served by electrical chiller and gas-fired boilers, (2) Ground-source closed water loop heat pumps with water loop heat pumps with boiler and cooling tower, and (3) VAV system served by electrical chiller and gas-fired boiler. This analysis estimates the annual energy consumptions and costs of each system option, in order to provide the design team with a reasonable basis for determining which system is most life-cycle cost effective. eQuest (version 3.37), a computer-based energy simulation program that uses the DOE-2 simulation engine, was used to estimate the annual energy costs.

  6. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications

    SciTech Connect (OSTI)

    none,

    2011-01-01

    This report is an analysis of niche markets and applications for light-emitting diodes (LEDs), undertaken on behalf of the U.S. Department of Energy.

  7. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications

    SciTech Connect (OSTI)

    None, None

    2008-09-01

    This report is an analysis of niche markets and applications for light-emitting diodes (LEDs), undertaken on behalf of the U.S. Department of Energy.

  8. Systems Analysis | Department of Energy

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

    Systems Analysis Systems Analysis Systems analysis provides direction, focus, and support for the development and introduction of hydrogen production, storage, and end-use technologies, and provides a basis for recommendations on a balanced portfolio of activities. All areas of the Fuel Cell Technologies Office-hydrogen production, delivery, storage, fuel cells, technology validation, and safety, codes and standards-rely on the conclusions and recommendations drawn from systems analysis results

  9. Scenario Analysis Meeting | Department of Energy

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

    Scenario Analysis Meeting Scenario Analysis Meeting Presentation by Sigmund Gronich at the 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure meeting on January 31, 2007. scenario_analysis_gronich1_07.pdf (655.92 KB) More Documents & Publications HyPro: Modeling the Hydrogen Transition Analysis of the Transition to Hydrogen Fuel Cell Vehicles and the Potential Hydrogen Energy Infrastructure Requirements Hydrogen and FCV Implementation Scenarios, 2010 - 2025

  10. Estimation and Uncertainty Analysis of Impacts of Future Heat...

    Office of Scientific and Technical Information (OSTI)

    However, the estimation of excess mortality attributable to future heat waves is subject to large uncertainties, which have not been examined under the latest greenhouse gas ...

  11. NREL: Energy Analysis - Electric Infrastructure Systems Technology Analysis

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

    Electric Infrastructure Systems Technology Analysis NREL's energy analysis supports distribution and interconnection R&D, which is responsible for distributed resources' system integration. Industrial Distributed Energy Information Resources This link takes you to a directory of white papers and general documents and publications produced by or in conjunction with the EERE Advanced Manufacturing Office's Industrial Distributed Energy activities. Program-specific publications Among these

  12. Appendix D: Solar Energy Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  13. Appendix I: Federal Energy Management Program (FEMP) inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  14. NREL: Energy Analysis - Wesley Cole

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

    G. Porro. 2015. 2015 Standard Scenarios Annual Report: U.S. Electric Sector Scenario Exploration. NRELTP-6A20-64072. National Renewable Energy Laboratory (NREL), Golden, CO (US). ...

  15. NREL: Energy Analysis - Taylor Curtis

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

    Education and background training J.D. with Energy Law Certificate, Vermont Law School, South Royalton, VT, 2015 M.A. in Environmental Law and Policy with Climate Change Law ...

  16. NREL: Energy Analysis - Andrew Weekley

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

    2014. Variability of Photovoltaic Power in the State of Gujarat Using High Resolution Solar Data. NRELTP-7A40-60991. National Renewable Energy Laboratory (NREL), Golden, CO (US). ...

  17. NREL: Energy Analysis - Lori Bird

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

    Bird, L., C. Chapman, J. Logan, J. Sumner, and W. Short. 2011. "Evaluating Renewable Portfolio Standards and Carbon Cap Scenarios in the U.S. Electric Sector." Energy Policy 39, ...

  18. NREL: Energy Analysis - Jeffrey Logan

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

    ... NRELTP-6A20-51252. Bird, L., C. Chapman, J. Logan, J. Sumner, and W. Short. "Evaluating Renewable Portfolio Standards and Carbon Cap Scenarios in the U.S. Electric Sector." Energy ...

  19. NREL: Energy Analysis - Austin Brown

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

    Austin Brown Photo of Austin Brown Austin Brown is currently away from the lab on a detail to the Office of Science and Technology Policy in the Executive Office of the President. Senior Analyst (Strategic Planning) On staff since 2010 Phone number: 202-488-2203 E-mail: austin.brown@nrel.gov Areas of expertise Crosscutting low-carbon strategies Clean transportation technologies and policies Primary research interests Clean energy research portfolio planning Energy and society Sustainable

  20. Pawnee Nation - Energy Options Analysis

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

    of Oklahoma DOE First Steps Project DOE Tribal Program Review November 20, 2008 Overview of Presentation  Background  Project Objectives  Activities Performed  Renewable Energy Resource Development Opportunities  Electric Utility Options  Energy Efficiency Opportunities  Key Findings and Recommendations Background  Land:  Tribe-owned lands checker-board within the boundaries  Existing Buildings:  Limited housing exists on tribal lands. Housing was built in 1950s.

  1. An estimation method for echo signal energy of pipe inner surface longitudinal crack detection by 2-D energy coefficients integration

    SciTech Connect (OSTI)

    Zhou, Shiyuan Sun, Haoyu Xu, Chunguang Cao, Xiandong Cui, Liming Xiao, Dingguo

    2015-03-31

    The echo signal energy is directly affected by the incident sound beam eccentricity or angle for thick-walled pipes inner longitudinal cracks detection. A method for analyzing the relationship between echo signal energy between the values of incident eccentricity is brought forward, which can be used to estimate echo signal energy when testing inside wall longitudinal crack of pipe, using mode-transformed compression wave adaptation of shear wave with water-immersion method, by making a two-dimension integration of “energy coefficient” in both circumferential and axial directions. The calculation model is founded for cylinder sound beam case, in which the refraction and reflection energy coefficients of different rays in the whole sound beam are considered different. The echo signal energy is calculated for a particular cylinder sound beam testing different pipes: a beam with a diameter of 0.5 inch (12.7mm) testing a φ279.4mm pipe and a φ79.4mm one. As a comparison, both the results of two-dimension integration and one-dimension (circumferential direction) integration are listed, and only the former agrees well with experimental results. The estimation method proves to be valid and shows that the usual method of simplifying the sound beam as a single ray for estimating echo signal energy and choosing optimal incident eccentricity is not so appropriate.

  2. NREL: Energy Analysis - David Mooney

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

    Design and cost analysis of concentrating solar power system configurations and ... and the Grid of the Future, Detroit, Michigan, July 2011. Piscataway, NJ: Institute of ...

  3. Cuttings Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    And Deep Electrical Sounding Cuttings Analysis At Long Valley Caldera Geothermal Area (Smith & Suemnicht, 1991) Long Valley Caldera Geothermal Area 1985 1988 Oxygen Isotope...

  4. Vulnerability Analysis of Energy Delivery Control Systems

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

    0-18381 Vulnerability Analysis of Energy Delivery Control Systems September 2011 Idaho National Laboratory Idaho Falls, Idaho 83415 http://www.inl.gov Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under DOE Idaho Operations Office Contract DE-AC07-05ID14517 The INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance DISCLAIMER This information was prepared as an account of work sponsored by an agency of the

  5. Energy analysis program. 1995 Annual report

    SciTech Connect (OSTI)

    Levine, M.D.

    1996-05-01

    This year the role of energy technology research and analysis supporting governmental and public interests is again being challenged at high levels of government. This situation is not unlike that of the early 1980s, when the Administration questioned the relevance of a federal commitment to applied energy research, especially for energy efficiency and renewable energy technologies. Then Congress continued to support such activities, deeming them important to the nation`s interest. Today, Congress itself is challenging many facets of the federal role in energy. The Administration is also selectively reducing its support, primarily for the pragmatic objective of reducing federal expenditures, rather than because of principles opposing a public role in energy. this report is divided into three sections: International Energy and the global environment; Energy, economics, markets, and policy; and Buildings and their environment.

  6. Lower-bound estimates of energy efficiency in the federal sector

    SciTech Connect (OSTI)

    Dirks, J.A.; Shankle, S.A.; Stucky, D.J.; Elliott, D.B.

    1994-08-01

    The Energy Programs Directorate (EPD) at the Pacific Northwest Laboratory (PNL) was tasked by the DOE Federal Energy Management Program (FEMP) to provide lower-bound estimates of the energy and dollar savings that could be realized by implementing all life-cycle cost-effective retrofits within the federal sector. FEMP has a responsibility to recommend a course of action to DOE regarding the design, implementation, and management of a federal energy efficiency fund. The information in this report is provided to assist FEMP in developing its position.

  7. Analysis of Alternatives | Department of Energy

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

    Analysis of Alternatives Analysis of Alternatives Documents Available for Download April 13, 2016 Independent Analysis of Alternatives for Disposition of the Idaho Calcined High-Level Waste Inventory Volume 1 - Summary Report The U.S. Department of Energy Idaho Field Office and the Office of Environmental Management (EM) chartered an independent Analysis of Alternatives for the Idaho Calcine Disposition Project (CDP), part of the overall Idaho Cleanup Project.

  8. Retrofit Financial Analysis Tool | Department of Energy

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

    Municipal Consortium » Resources » Retrofit Financial Analysis Tool Retrofit Financial Analysis Tool The Street and Parking Facility Lighting Retrofit Financial Analysis Tool was developed by a partnership of the DOE Municipal Solid-State Street Lighting Consortium, the Clinton Climate Initiative (CCI)/C40, and the Federal Energy Management Program (FEMP), for the financial analysis of retrofitting street and parking facility lighting with more efficient alternatives. Property owners, city and

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

    Energy.gov (indexed) [DOE]

    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 ...

  10. Surface Analysis. National Renewable Energy Laboratory (NREL...

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

    ... Collecting a complete spectrum at every pixel allows for retrospective analysis of the image data. depth profiling. Low-energy cesium, and argon or oxygen sputter guns for depth ...

  11. Hawaii Clean Energy Initiative Scenario Analysis

    Energy.gov [DOE]

    Analysis of potential policy options to help the state reach the 70% Hawaii Clean Energy Initiative (HCEI) goal, including possible pathways to attain the goal based on currently available technology.

  12. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    SciTech Connect (OSTI)

    Fridley, David; Fridley, David G.; Zheng, Nina; Zhou, Nan

    2008-03-01

    Buildings represent an increasingly important component of China's total energy consumption mix. However, accurately assessing the total volume of energy consumed in buildings is difficult owing to deficiencies in China's statistical collection system and a lack of national surveys. Official statistics suggest that buildings account for about 19% of China's total energy consumption, while others estimate the proportion at 23%, rising to 30% over the next few years. In addition to operational energy, buildings embody the energy used in the in the mining, extraction, harvesting, processing, manufacturing and transport of building materials as well as the energy used in the construction and decommissioning of buildings. This embodied energy, along with a building's operational energy, constitutes the building's life-cycle energy and emissions footprint. This report first provides a review of international studies on commercial building life-cycle energy use from which data are derived to develop an assessment of Chinese commercial building life-cycle energy use, then examines in detail two cases for the development of office building operational energy consumption to 2020. Finally, the energy and emissions implications of the two cases are presented.

  13. Core Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Area 1992 K-Ar Dates Of Hydrothermal Clays From Core Hole Vc-2B, Valles Caldera, New Mexico And Their Relation To Alteration In A Large Hydrothermal System Core Analysis At...

  14. 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

  15. Energy Systems Analysis | Argonne National Laboratory

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

    Energy Systems Analysis All stages of energy production have inputs and outputs. Argonne researchers analyze the total production picture and develop tools for members of the public to use in conducting their own assessments. All stages of energy production have inputs and outputs. Argonne researchers analyze the total production picture and develop tools for members of the public to use in conducting their own assessments. Consumer behavior, economic conditions and market forces interact on

  16. NREL: Energy Analysis - Subscribe to Newsletter

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

    Subscribe to Newsletter The Decision Insight and Market Impacts newsletter highlights the lab's analysts and analysis activities in renewable energy and energy efficiency technologies are having an impact on U.S. energy goals. The newsletter features recent publications and websites, updates to our models and tools, and staff activities. To subscribe, fill out the form below. If you have any questions about Decision Insight and Market Impacts or about subscribing, please send them to the the

  17. NREL: Energy Analysis - Robert M. Margolis

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

    Robert M. Margolis Photo of Robert M. Margolis Robert M. Margolis is the group manager of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Analyst (Group Manager) On staff since April 2003 Phone number: 202-488-2222 E-mail: robert.margolis@nrel.gov Areas of expertise Energy-economic-environmental modeling, including national and global-scale models Economic and market analysis of renewable energy technologies R&D planning and evaluation Long-term scenario

  18. Cities Leading Through Energy Analysis and Planning Infographic |

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

    Department of Energy Cities Leading Through Energy Analysis and Planning Infographic Cities Leading Through Energy Analysis and Planning Infographic The Cities Leading through Energy Analysis and Planning (Cities-LEAP) project delivers standardized, localized energy data and analysis that enables cities to lead clean energy innovation and integrate strategic energy analysis into decision making. Two Cities-LEAP infographics catalog the programs and tools currently supporting local

  19. Estimation of Energy Savings Resulting From the BestPractices Program, Fiscal Year 2002

    SciTech Connect (OSTI)

    Truett, LF

    2003-09-24

    Within the U.S. Department of Energy (DOE), the Office of Energy Efficiency and Renewable Energy (EERE) has a vision of a future with clean, abundant, reliable, and affordable energy. Within EERE, the Industrial Technologies Program (ITP), formerly the Office of Industrial Technologies, works in partnership with industry to increase energy efficiency, improve environmental performance, and boost productivity. The BestPractices (BP) Program, within ITP, works directly with industries to encourage energy efficiency. The purpose of the BP Program is to improve energy utilization and management practices in the industrial sector. The program targets distinct technology areas, including pumps, process heating, steam, compressed air, motors, and insulation. This targeting is accomplished with a variety of delivery channels, such as computer software, printed publications, Internet-based resources, technical training, technical assessments, and other technical assistance. A team of program evaluators from Oak Ridge National Laboratory (ORNL) was tasked to evaluate the fiscal year 2002 (FY02) energy savings of the program. The ORNL assessment enumerates levels of program activity for technology areas across delivery channels. In addition, several mechanisms that target multiple technology areas--e.g., Plant-wide Assessments (PWAs), the ''Energy Matters'' newsletter, and special events--are also evaluated for their impacts. When possible, the assessment relies on published reports and the Industrial Assessment Center (IAC) database for estimates of energy savings that result from particular actions. Data were also provided by ORNL, Lawrence Berkeley National Laboratory (LBNL) and Project Performance Corporation (PPC), the ITP Clearinghouse at Washington State University, the National Renewable Energy Laboratory (NREL), Energetics Inc., and the Industrial Technologies Program Office. The estimated energy savings in FY02 resulting from activities of the BP Program are almost

  20. Built Environment Energy Analysis Tool Overview (Presentation)

    SciTech Connect (OSTI)

    Porter, C.

    2013-04-01

    This presentation provides an overview of the Built Environment Energy Analysis Tool, which is designed to assess impacts of future land use/built environment patterns on transportation-related energy use and greenhouse gas (GHG) emissions. The tool can be used to evaluate a range of population distribution and urban design scenarios for 2030 and 2050. This tool was produced as part of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

  1. West African Clean Energy Gateway-Software Analysis Tools | Open...

    Open Energy Information (Open El) [EERE & EIA]

    Power 1.0 Energy Efficiency Petroleum Reduction Planning Tool Biomass Energy Efficiency Hydrogen Fuels & Efficiency Transportation PlotWatt Energy Efficiency Policy Analysis...

  2. OpenStudio Policy Analysis Tool | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Policy Analysis Tool1 Perform simple modeling and analysis by...

  3. ITP Chemicals: Chemical Bandwidth Study - Energy Analysis: A...

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

    Chemical Bandwidth Study - Energy Analysis: A Powerful Tool for Identifying Process ... ITP Chemicals: Chemical Bandwidth Study - Energy Analysis: A Powerful Tool for Identifying ...

  4. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building ...

  5. Sandia Energy - Solar Glare Hazard Analysis Tool Available for...

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

    Solar Glare Hazard Analysis Tool Available for Download Home Renewable Energy Energy News News & Events Photovoltaic Solar Solar Newsletter Solar Glare Hazard Analysis Tool...

  6. NREL State Clean Energy Policies Analysis Project (SCEPA) | Open...

    Open Energy Information (Open El) [EERE & EIA]

    NREL State Clean Energy Policies Analysis Project (SCEPA) (Redirected from State Clean Energy Policies Analysis Project (SCEPA)) Jump to: navigation, search Name NREL State Clean...

  7. NREL State Clean Energy Policies Analysis Project (SCEPA) | Open...

    Open Energy Information (Open El) [EERE & EIA]

    NREL State Clean Energy Policies Analysis Project (SCEPA) Jump to: navigation, search Name NREL State Clean Energy Policies Analysis Project (SCEPA) AgencyCompany Organization...

  8. Sandia Energy - Post-Processing and Analysis of Wake Measurements...

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

    Post-Processing and Analysis of Wake Measurements Around a Scaled Turbine Home Renewable Energy Energy Water Power Partnership News News & Events Post-Processing and Analysis of...

  9. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building...

  10. Sandia Energy - Sandia Report Presents Analysis of Glare Impacts...

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

    Presents Analysis of Glare Impacts of Ivanpah Solar Power Site Home Renewable Energy Energy News News & Events Concentrating Solar Power Solar Systems Analysis Sandia Report...

  11. State Clean Energy Policies Analysis (SCEPA): State Policy and...

    Open Energy Information (Open El) [EERE & EIA]

    Analysis (SCEPA): State Policy and the Pursuit of Renewable Energy Manufacturing Jump to: navigation, search Tool Summary LAUNCH TOOL Name: State Clean Energy Policies Analysis...

  12. Cost analysis of energy storage systems for electric utility...

    Office of Scientific and Technical Information (OSTI)

    Cost analysis of energy storage systems for electric utility applications Citation Details In-Document Search Title: Cost analysis of energy storage systems for electric utility ...

  13. Hydrogen Analysis (H2A) | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Analysis (H2A) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hydrogen Analysis (H2A) AgencyCompany Organization: National Renewable Energy Laboratory Sector: Energy...

  14. NREL: Energy Analysis - Kevin McCabe

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

    Kevin McCabe Photo of Kevin McCabe. Kevin McCabe is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Engineer II On staff since June 2016 Phone number: 303-275-3183 E-mail: Kevin.McCabe@nrel.gov Areas of expertise Geothermal direct use (thermal applications) Reservoir modeling/simulation, well testing Data analysis and visualization Primary research interests Geothermal resource assessment New technologies for geothermal industry (EGS,

  15. NREL: Energy Analysis - Working with Us

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

    Working with Us ...Your team is superb. It is always energizing to come to the lab and hear about the many types of analysis projects the team is working on. And it was particularly inspiring to see so many young analysts who are strong technically, extremely articulate, and passionate about their work. - Susan Tierney Managing Principal The Analysis Group The Strategic Energy Analysis Center (SEAC) staff, based in Washington, D.C. and Golden, Colorado, have capabilities that span a wide range

  16. Cross-impacts analysis development and energy policy analysis applications

    SciTech Connect (OSTI)

    Roop, J.M.; Scheer, R.M.; Stacey, G.S.

    1986-12-01

    Purpose of this report is to describe the cross-impact analysis process and microcomputer software developed for the Office of Policy, Planning, and Analysis (PPA) of DOE. First introduced in 1968, cross-impact analysis is a technique that produces scenarios of future conditions and possibilities. Cross-impact analysis has several unique attributes that make it a tool worth examining, especially in the current climate when the outlook for the economy and several of the key energy markets is uncertain. Cross-impact analysis complements the econometric, engineering, systems dynamics, or trend approaches already in use at DOE. Cross-impact analysis produces self-consistent scenarios in the broadest sense and can include interaction between the economy, technology, society and the environment. Energy policy analyses that couple broad scenarios of the future with detailed forecasting can produce more powerful results than scenario analysis or forecasts can produce alone.

  17. Estimating the Benefits of Government-Sponsored Energy R&D: Synthesis of Conference Discussions

    SciTech Connect (OSTI)

    Lee, R.

    2003-11-14

    In 2001, a National Research Council (NRC) committee conducted a retrospective study of the benefits of some of the energy efficiency and fossil energy programs in the U.S. Department of Energy (DOE). As part of its study, the NRC committee developed a methodological framework for estimating these benefits. Following the NRC report, a conference was organized by Oak Ridge National Laboratory to discuss ways of adapting and refining the NRC framework for possible use by DOE offices to help plan and manage their R&D. This report is a synthesis of the discussions at the conference.

  18. Battery Life Estimation (BLE) and Data Analysis - Energy Innovation Portal

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

    Batteries May Fade, But Research Can Revitalize Batteries May Fade, But Research Can Revitalize November 9, 2012 - 4:04pm Addthis The Transmission Electron Microscope (TEM) at the William R. Wiley Environmental Molecular Sciences Laboratory at the Pacific Northwest National Laboratory is used to image metals, ceramics, minerals, nanostructured materials, and biological-related materials and tissues at atomic-bond-length resolution. | Photo of Pacific Northwest National Laboratory The

  19. Retrospective analysis of energy use and conservation trends: 1972-1982. Appendix

    SciTech Connect (OSTI)

    Adams, R.C.; Belzer, D.B.; Fang, J.M.; Imhoff, K.L.; Lax, D.H.; Moe, R.J.; Roop, J.M.; Wusterbarth, A.R.

    1985-06-01

    This appendix contains the detailed documentation corresponding to the end-use sectoral analyses presented in the main report. The data and methods used to calculate alternative scenarios for estimating energy savings in four economic sectors are provided in this volume. Appendix A contains the detailed documentation for the residential sector analysis. The methodology used to prepare estimates of building energy savings in the commercial sector is provided in Appendix B. Finally, Appendices C and D discuss the data and explain the analytical techniques used to derive estimates of energy savings in the industrial and transportation sectors, respectively. 9 refs., 14 figs., 86 tabs.

  20. Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs

    SciTech Connect (OSTI)

    none,

    2012-04-01

    Provides an overview of evaluation, measurement, and verification approaches used to estimate the load impacts and effectiveness of energy efficiency programs.

  1. Analysis of Energy Saving Impacts of ASHRAE 90.1-2004 for New York

    SciTech Connect (OSTI)

    Gowri, Krishnan; Halverson, Mark A.; Richman, Eric E.

    2007-08-03

    The New York State Energy Research and Development Authority (NYSERDA) and New York State Department of State (DOS) requested the help of DOE’s Building Energy Codes Program (BECP) in estimating the annual building energy savings and cost impacts of adopting ANSI/ASHRAE/IESNA Standard 90.1-2004 (ASHRAE 2004) requirements. This report summarizes the analysis methodology and results of energy simulation in response to that request.

  2. Mini Grid Renewable Energy-Economic and Financial Analysis |...

    Open Energy Information (Open El) [EERE & EIA]

    Energy Topics: Finance, Implementation, Market analysis, Background analysis Website: web.worldbank.orgWBSITEEXTERNALTOPICSEXTENERGY2EXTRENENERGYTK0,, Country: Sri Lanka,...

  3. Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

    SciTech Connect (OSTI)

    Aab, Alexander

    2015-08-19

    The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy density is determined from the radio pulses at each observer position and is interpolated using a two dimensional function that takes into account signal asymmetries due to interference between the geomagnetic and charge excess emission components. We found that the spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy – corrected for geometrical effects – is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. Finally we find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.

  4. Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

    DOE PAGES-Beta [OSTI]

    Aab, Alexander

    2016-06-14

    The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy density is determined from the radio pulses at each observer position and is interpolated using a two dimensional functionmore » that takes into account signal asymmetries due to interference between the geomagnetic and charge excess emission components. We found that the spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy – corrected for geometrical effects – is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. Finally we find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.« less

  5. Updated estimation of energy efficiencies of U.S. petroleum refineries.

    SciTech Connect (OSTI)

    Palou-Rivera, I.; Wang, M. Q.

    2010-12-08

    Evaluation of life-cycle (or well-to-wheels, WTW) energy and emission impacts of vehicle/fuel systems requires energy use (or energy efficiencies) of energy processing or conversion activities. In most such studies, petroleum fuels are included. Thus, determination of energy efficiencies of petroleum refineries becomes a necessary step for life-cycle analyses of vehicle/fuel systems. Petroleum refinery energy efficiencies can then be used to determine the total amount of process energy use for refinery operation. Furthermore, since refineries produce multiple products, allocation of energy use and emissions associated with petroleum refineries to various petroleum products is needed for WTW analysis of individual fuels such as gasoline and diesel. In particular, GREET, the life-cycle model developed at Argonne National Laboratory with DOE sponsorship, compares energy use and emissions of various transportation fuels including gasoline and diesel. Energy use in petroleum refineries is key components of well-to-pump (WTP) energy use and emissions of gasoline and diesel. In GREET, petroleum refinery overall energy efficiencies are used to determine petroleum product specific energy efficiencies. Argonne has developed petroleum refining efficiencies from LP simulations of petroleum refineries and EIA survey data of petroleum refineries up to 2006 (see Wang, 2008). This memo documents Argonne's most recent update of petroleum refining efficiencies.

  6. Department of Energy Analysis of Economic Impact

    National Nuclear Security Administration (NNSA)

    Department of Energy Analysis of Economic Impact Final Rule, 10 CFR 810 February 3, 2015 1 Executive Summary The Department of Energy (DOE) published a Notice of Proposed Rulemaking (NOPR) for part 810 of the Code of Federal Regulations (CFR) on Sept 7, 2011 and a Supplemental Notice of Proposed Rulemaking (SNOPR) on August 2, 2013. This regulation governs the process of export control review and approval for nuclear technology exports from the United States. After careful consideration of all

  7. Strategic Priorities and Impact Analysis Team | Department of Energy

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

    Strategic Programs » Strategic Priorities and Impact Analysis Team Strategic Priorities and Impact Analysis Team Cities Leading through Energy Analysis and Planning Cities Leading through Energy Analysis and Planning This project delivers standardized, localized energy data and analysis that enables cities to lead clean energy innovation and integrate strategic energy analysis into their decision making. Read more Impacts of Federal Tax Credit Extensions on Renewable Deployment and Power Sector

  8. Southeast Regional Clean Energy Policy Analysis (Revised)

    SciTech Connect (OSTI)

    McLaren, J.

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  9. Southeast Regional Clean Energy Policy Analysis

    SciTech Connect (OSTI)

    McLaren, Joyce

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  10. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate

  11. Numerical estimation of adsorption energy distributions from adsorption isotherm data with the expectation-maximization method

    SciTech Connect (OSTI)

    Stanley, B.J.; Guiochon, G. |

    1993-08-01

    The expectation-maximization (EM) method of parameter estimation is used to calculate adsorption energy distributions of molecular probes from their adsorption isotherms. EM does not require prior knowledge of the distribution function or the isotherm, requires no smoothing of the isotherm data, and converges with high stability towards the maximum-likelihood estimate. The method is therefore robust and accurate at high iteration numbers. The EM algorithm is tested with simulated energy distributions corresponding to unimodal Gaussian, bimodal Gaussian, Poisson distributions, and the distributions resulting from Misra isotherms. Theoretical isotherms are generated from these distributions using the Langmuir model, and then chromatographic band profiles are computed using the ideal model of chromatography. Noise is then introduced in the theoretical band profiles comparable to those observed experimentally. The isotherm is then calculated using the elution-by-characteristic points method. The energy distribution given by the EM method is compared to the original one. Results are contrasted to those obtained with the House and Jaycock algorithm HILDA, and shown to be superior in terms of robustness, accuracy, and information theory. The effect of undersampling of the high-pressure/low-energy region of the adsorption is reported and discussed for the EM algorithm, as well as the effect of signal-to-noise ratio on the degree of heterogeneity that may be estimated experimentally.

  12. NREL: Energy Analysis - Nicholas DiOrio

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

    Nicholas DiOrio Photo of Nicholas DiOrio Nicholas DiOrio is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Systems Modeling Engineer & Programmer On staff since February 2015 Phone number: 303-384-7359 E-mail: Nicholas.diorio@nrel.gov Areas of expertise Thermal system modeling, including solar water heating systems System-level simulation using SAM and TRNSYS Software engineering (C/C++/MATLAB) Primary research interests System modeling

  13. Analysis Procedures to Estimate Seismic Demands of Structures...

    Office of Environmental Management (EM)

    Presentation from the May 2015 Seismic Lessons-Learned Panel Meeting. PDF icon Analysis ... Safety May 2015 Seismic Lessons-Learned Panel Meeting Agenda Risk-Informed Design of ...

  14. NREL: Energy Analysis - Samantha Bench Reese

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

    Samantha Bench Reese Photo of Samantha Bench Reese Samantha Bench Reese is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Technologies Analyst and Engineer On staff since April, 2015 Phone number: 303-275-3062 E-mail: Samantha.Reese@nrel.gov Areas of expertise System engineering and fundamentals Manufacturing cost models and cost reduction roadmaps Primary research interests Wide-bandgap Semiconductors Advanced manufacturing Supply

  15. Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2012-04-01

    Geopressured geothermal reservoirs are characterized by high temperatures and high pressures with correspondingly large quantities of dissolved methane. Due to these characteristics, the reservoirs provide two sources of energy: chemical energy from the recovered methane, and thermal energy from the recovered fluid at temperatures high enough to operate a binary power plant for electricity production. Formations with the greatest potential for recoverable energy are located in the gulf coastal region of Texas and Louisiana where significantly overpressured and hot formations are abundant. This study estimates the total recoverable onshore geopressured geothermal resource for identified sites in Texas and Louisiana. In this study a geopressured geothermal resource is defined as a brine reservoir with fluid temperature greater than 212 degrees F and a pressure gradient greater than 0.7 psi/ft.

  16. Solar Energy Systems - Research - Systems Analysis - Smart Grid...

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

    Sunlight Systems Analysis Solar Fuels Research: Systems Analysis Smart grid photovoltaic Systems analysis photovoltaic A team of energy and grid experts from Agronne,...

  17. A simple tool for estimating city-wide annual electrical energy savings from cooler surfaces

    SciTech Connect (OSTI)

    Pomerantz, Melvin; Rosado, Pablo J.; Levinson, Ronnen M.

    2015-06-27

    We present a simple method to estimate the maximum possible electrical energy saving that might be achieved by increasing the albedo of surfaces in a large city. We restrict this to the “indirect effect”, the cooling of outside air that lessens the demand for air conditioning (AC). Given the power demand of the electric utilities and data about the city, we can use a single linear equation to estimate the maximum savings. For example, the result for an albedo change of 0.2 of pavements in a typical warm city in California, such as Sacramento, is that the saving is less than about 2 kWh per m2 per year. This may help decision makers choose which heat island mitigation techniques are economical from an energy-saving perspective.

  18. Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs

    SciTech Connect (OSTI)

    Messenger, Mike; Bharvirkar, Ranjit; Golemboski, Bill; Goldman, Charles A.; Schiller, Steven R.

    2010-04-14

    Efficiency (2007) presented commonly used definitions for EM&V in the context of energy efficiency programs: (1) Evaluation (E) - The performance of studies and activities aimed at determining the effects and effectiveness of EE programs; (2) Measurement and Verification (M&V) - Data collection, monitoring, and analysis associated with the calculation of gross energy and demand savings from individual measures, sites or projects. M&V can be a subset of program evaluation; and (3) Evaluation, Measurement, and Verification (EM&V) - This term is frequently seen in evaluation literature. EM&V is a catchall acronym for determining both the effectiveness of program designs and estimates of load impacts at the portfolio, program and project level. This report is a scoping study that assesses current practices and methods in the evaluation, measurement and verification (EM&V) of ratepayer-funded energy efficiency programs, with a focus on methods and practices currently used for determining whether projected (ex-ante) energy and demand savings have been achieved (ex-post). M&V practices for privately-funded energy efficiency projects (e.g., ESCO projects) or programs where the primary focus is greenhouse gas reductions were not part of the scope of this study. We identify and discuss key purposes and uses of current evaluations of end-use energy efficiency programs, methods used to evaluate these programs, processes used to determine those methods; and key issues that need to be addressed now and in the future, based on discussions with regulatory agencies, policymakers, program administrators, and evaluation practitioners in 14 states and national experts in the evaluation field. We also explore how EM&V may evolve in a future in which efficiency funding increases significantly, innovative mechanisms for rewarding program performance are adopted, the role of efficiency in greenhouse gas mitigation is more closely linked, and programs are increasingly funded from multiple sources

  19. NREL: Energy Analysis - Market and Policy Impact Analysis Staff

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

    Market and Policy Impact Analysis The following includes summary bios of staff expertise and interests in analysis related to electric regulation and policy; transportation market, fuels, and policies; economic impact; advanced financial analytic methods; international markets; R&D program benefits assessment; portfolio and risk assessment and green power and renewable energy certificate (REC) markets. Team Lead: Jeffery Logan Administrative Support: Karla LeComte Philipp Beiter Lori Bird

  20. Performance analysis of bullet trajectory estimation: Approach, simulation, and experiments

    SciTech Connect (OSTI)

    Ng, L.C.; Karr, T.J.

    1994-11-08

    This paper describes an approach to estimate a bullet`s trajectory from a time sequence of angles-only observations from a high-speed camera, and analyzes its performance. The technique is based on fitting a ballistic model of a bullet in flight along with unknown source location parameters to a time series of angular observations. The theory is developed to precisely reconstruct, from firing range geometry, the actual bullet trajectory as it appeared on the focal plane array and in real space. A metric for measuring the effective trajectory track error is also presented. Detailed Monte-Carlo simulations assuming different bullet ranges, shot-angles, camera frame rates, and angular noise show that angular track error can be as small as 100 {mu}rad for a 2 mrad/pixel sensor. It is also shown that if actual values of bullet ballistic parameters were available, the bullet s source location variables, and the angles of flight information could also be determined.

  1. survival analysis of wave energy converters

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

    wave energy converters - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power ...

  2. The Smart Grid: An Estimation of the Energy and CO2 Benefits

    SciTech Connect (OSTI)

    Pratt, Robert G.; Balducci, Patrick J.; Gerkensmeyer, Clint; Katipamula, Srinivas; Kintner-Meyer, Michael CW; Sanquist, Thomas F.; Schneider, Kevin P.; Secrest, Thomas J.

    2010-01-15

    This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been based primarily upon the twin pillars of cost-effective operation and improved reliability. Rather, it attempts to quantify the additional energy and CO2 emission benefits inherent in the smart grid’s potential contribution to the nation’s goal of mitigating climate change by reducing the carbon footprint of the electric power system.

  3. The Smart Grid: An Estimation of the Energy and CO2 Benefits

    SciTech Connect (OSTI)

    Pratt, Robert G.; Balducci, Patrick J.; Gerkensmeyer, Clint; Katipamula, Srinivas; Kintner-Meyer, Michael CW; Sanquist, Thomas F.; Schneider, Kevin P.; Secrest, Thomas J.

    2010-01-27

    This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been based primarily upon the twin pillars of cost-effective operation and improved reliability. Rather, it attempts to quantify the additional energy and CO2 emission benefits inherent in the smart grid’s potential contribution to the nation’s goal of mitigating climate change by reducing the carbon footprint of the electric power system.

  4. Table 3.5 Consumer Expenditure Estimates for Energy by Source, 1970-2010 (Million Dollars )

    U.S. Energy Information Administration (EIA) (indexed site)

    Consumer Expenditure Estimates for Energy by Source, 1970-2010 (Million Dollars 1) Year Primary Energy 2 Electric Power Sector 11,12 Retail Electricity 13 Total Energy 10,14 Coal Coal Coke Net Imports 3 Natural Gas 4 Petroleum Nuclear Fuel Biomass 9 Total 10 Distillate Fuel Oil Jet Fuel 5 LPG 6 Motor Gasoline 7 Residual Fuel Oil Other 8 Total 1970 4,630 -75 10,891 6,253 1,441 2,395 31,596 2,046 4,172 47,904 44 438 63,872 -4,357 23,345 82,860 1971 4,902 -40 12,065 6,890 1,582 2,483 33,478 2,933

  5. Home Energy Score: Analysis & Improvements to Date | Department of Energy

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

    Analysis & Improvements to Date Home Energy Score: Analysis & Improvements to Date Home Energy Score: Analysis & Improvements to Date, a presentation from the U.S. Department of Energy, by Joan Glickman Senior Advisor/Program Manager, Home Energy Score, July 24, 2012. pilot_analysis_webinar7-24-12.pdf (897.68 KB) More Documents & Publications Home Energy Score Program HES Program Update and Scoring Tool v2014 Release Home Energy Score: Program Update for Interested Stakeholders

  6. Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Subia, Samuel Ramirez; Neckels, David; Hopkins, Matthew Morgan; Notz, Patrick K.; Adams, Brian M.; Carnes, Brian; Wittwer, Jonathan W.; Bichon, Barron J.; Copps, Kevin D.

    2006-10-01

    This report documents the results for an FY06 ASC Algorithms Level 2 milestone combining error estimation and adaptivity, uncertainty quantification, and probabilistic design capabilities applied to the analysis and design of bistable MEMS. Through the use of error estimation and adaptive mesh refinement, solution verification can be performed in an automated and parameter-adaptive manner. The resulting uncertainty analysis and probabilistic design studies are shown to be more accurate, efficient, reliable, and convenient.

  7. Novel Tool Allows Quicker, More Versatile Analysis of Energy Production

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

    Technologies | Department of Energy Novel Tool Allows Quicker, More Versatile Analysis of Energy Production Technologies Novel Tool Allows Quicker, More Versatile Analysis of Energy Production Technologies June 19, 2012 - 1:00pm Addthis Washington, DC - A new energy production technology analysis tool that could lead to cost-effective improvements for energy generation and lower costs for consumers is now available on the National Energy Technology Laboratory (NETL) website. Available at no

  8. Analysis of Potential Benefits and Costs of Updating the Commercial Building Energy Code in North Dakota

    SciTech Connect (OSTI)

    Cort, Katherine A.; Belzer, David B.; Winiarski, David W.; Richman, Eric E.

    2004-04-30

    The state of North Dakota is considering updating its commercial building energy code. This report evaluates the potential costs and benefits to North Dakota residents from updating and requiring compliance with ASHRAE Standard 90.1-2001. Both qualitative and quantitative benefits and costs are assessed in the analysis. Energy and economic impacts are estimated using the Building Loads Analysis and System Thermodynamics (BLAST simulation combined with a Life-cycle Cost (LCC) approach to assess correspodning economic costs and benefits.

  9. Scout: An Impact Analysis Tool for Building Energy Efficiency Technologies

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

    | Department of Energy Scout: An Impact Analysis Tool for Building Energy Efficiency Technologies Scout: An Impact Analysis Tool for Building Energy Efficiency Technologies ACEEE Summer Study 2016 presentation-Scout: An Impact Analysis Tool for Building Energy Efficiency Technologies, by Chioke Harris, AAAS Science & Technology Policy Fellow, Building Technologies Office, U.S. Department of Energy. Scout presentation (3.26 MB) More Documents & Publications Scout Impact Analysis Tool

  10. NREL: Energy Analysis - Jørn Aabakken

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

    Jørn Aabakken Photo of Jorn Aabakken. Jørn Aabakken is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Senior Analyst I On staff since 1999 Phone number: 303-384-7525 E-mail: jorn_aabakken@nrel.gov Areas of expertise Web applications with database connectivity Drupal, PHP, JavaScript, mySQL, Apache, MediaWiki, Simile Exhibit, SVN, Solr Market research Google Analytics Primary research interests Online Communities Web Applications Technology

  11. NREL: Energy Analysis - Pamela Gray-Hann

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

    Pamela Gray-Hann Pamela Gray-Hann is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Project Support Specialist On staff since 1991 Phone number: 303-275-4626 E-mail: pamela.gray.hann@nrel.gov Areas of expertise Internet map server applications GIS web page PVWatts® Outreach Meeting planning Project support Education and background training University of Minnesota-Duluth GIS technical workshops and conferences Prior work experience U.S. Department

  12. Geothermal Play Fairway Analysis | Department of Energy

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

    Play Fairway Analysis Geothermal Play Fairway Analysis January 24, 2014 - 2:59pm Addthis Funding: $3,000,000-$4,000,000 for Phase 1; $3,000,000-$5,000,000 for Phase 2; $3,000,000-$5,000,000 for Phase 3; (All subject to the availability of appropriated funds.) Open Date: 01/24/2014 Close Date: 04/11/2014 Selection Announcement: 2014-07-31 Funding Organization: Department of Energy Geothermal Technologies Office Funding Number: DE-FOA-0000841 Summary: DOE is seeking applications to address the

  13. Advanced Analysis Methods in High Energy Physics

    SciTech Connect (OSTI)

    Pushpalatha C. Bhat

    2001-10-03

    During the coming decade, high energy physics experiments at the Fermilab Tevatron and around the globe will use very sophisticated equipment to record unprecedented amounts of data in the hope of making major discoveries that may unravel some of Nature's deepest mysteries. The discovery of the Higgs boson and signals of new physics may be around the corner. The use of advanced analysis techniques will be crucial in achieving these goals. The author discusses some of the novel methods of analysis that could prove to be particularly valuable for finding evidence of any new physics, for improving precision measurements and for exploring parameter spaces of theoretical models.

  14. Sandia Energy - Failure Mode and Effect Analysis (FMEA) Tutorial

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

    Failure Mode and Effect Analysis (FMEA) Tutorial Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Systems Reliability Tutorial on FMEA Process...

  15. Sandia Energy - High-Fidelity Hydrostructural Analysis of Ocean...

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

    Hydrostructural Analysis of Ocean Renewable Power Company's (ORPC's) TidGen Turbine Home Renewable Energy Energy Water Power Partnership News News & Events Computational...

  16. Vulnerability Analysis of Energy Delivery Control Systems (September 2011)

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Vulnerability Analysis of Energy Delivery Control Systems report, prepared by Idaho National Laboratory, describes the common vulnerabilities on energy sector control systems, and provides...

  17. Advanced Analysis Software Key to New, Energy-Efficient Technologies...

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

    Advanced Analysis Software Key to New, Energy-Efficient Technologies Leveraging Scientific and Engineering Know-How to Advance Sources of Renewable Energy Argonne National ...

  18. Analysis of Energy, Environmental and Life Cycle Cost Reduction...

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

    Energy, Environmental and Life Cycle Cost Reduction Potential of Ground Source Heat Pump (GSHP) in Hot and Humid Climate Analysis of Energy, Environmental and Life Cycle Cost ...

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

    Open Energy Information (Open El) [EERE & EIA]

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

  20. NREL's Field Data Repository Supports Accurate Home Energy Analysis...

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

    Field Data Repository Supports Accurate Home Energy Analysis The Residential Buildings Research Group at the National Renewable Energy Laboratory (NREL) has developed a repository ...

  1. Solar Energy Prospecting in Remote Alaska: An Economic Analysis...

    Energy.gov (indexed) [DOE]

    Solar Energy Prospecting in Remote Alaska An Economic Analysis of Solar Photovoltaics in the Last Frontier State by Paul Schwabe, National Renewable Energy Laboratory U.S. ...

  2. Solar Energy Prospecting in Remote Alaska: An Economic Analysis...

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

    Energy Prospecting in Remote Alaska An Economic Analysis of Solar Photovoltaics in the Last Frontier State by Paul Schwabe, National Renewable Energy Laboratory U.S. Department of ...

  3. Low-risk and cost-effective prior savings estimates for large-scale energy conservation projects in housing: Learning from the Fort Polk GHP project

    SciTech Connect (OSTI)

    Shonder, J.A.; Hughes, P.J.; Thornton, J.W.

    1997-08-01

    Many opportunities exist for large-scale energy conservation projects in housing. Energy savings performance contracting (ESPC) is now receiving greater attention, as a means to implement such projects. This paper proposes an improved method for prior (to construction) savings estimates for these projects. The proposed approach to prior estimates is verified against data from Fort Polk, LA. In the course of evaluating the ESPC at Fort Polk, the authors have collected energy use data which allowed them to develop calibrated engineering models which accurately predict pre-retrofit energy consumption. They believe that such calibrated models could be used to provide much more accurate estimates of energy savings in retrofit projects. The improved savings estimating approach described here is based on an engineering model calibrated to field-collected data from the pre-retrofit period. A dynamic model of pre-retrofit energy use was developed for all housing and non-housing loads on a complete electrical feeder at Fort Polk. The model included the heat transfer characteristics of the buildings, the pre-retrofit air source heat pump, a hot water consumption model and a profile for electrical use by lights and other appliances. Energy consumption for all 200 apartments was totaled, and by adjusting thermostat setpoints and outdoor air infiltration parameters, the models were matched to field-collected energy consumption data for the entire feeder. The energy conservation measures were then implemented in the calibrated model: the air source heat pumps were replaced by geothermal heat pumps with desuperheaters; hot water loads were reduced to account for the low-flow shower heads; and lighting loads were reduced to account for fixture delamping and replacement with compact fluorescent lights. The analysis of pre- and post-retrofit data indicates that the retrofits have saved 30.3% of pre-retrofit electrical energy consumption on the feeder modeled in this paper.

  4. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  5. Scripted Building Energy Modeling and Analysis: Preprint

    SciTech Connect (OSTI)

    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.

  6. 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

  7. Energy System and Scenario Analysis Toolkit | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    other technologies. Biomass Biomass Energy Data Book Buildings Buildings Energy Data Book Hydrogen Hydrogen Energy Data Book Marine and Hydrokinetic Technology Marine and...

  8. A stochastic approach to quantifying the blur with uncertainty estimation for high-energy X-ray imaging systems

    DOE PAGES-Beta [OSTI]

    Fowler, Michael J.; Howard, Marylesa; Luttman, Aaron; Mitchell, Stephen E.; Webb, Timothy J.

    2015-06-03

    One of the primary causes of blur in a high-energy X-ray imaging system is the shape and extent of the radiation source, or ‘spot’. It is important to be able to quantify the size of the spot as it provides a lower bound on the recoverable resolution for a radiograph, and penumbral imaging methods – which involve the analysis of blur caused by a structured aperture – can be used to obtain the spot’s spatial profile. We present a Bayesian approach for estimating the spot shape that, unlike variational methods, is robust to the initial choice of parameters. The posteriormore » is obtained from a normal likelihood, which was constructed from a weighted least squares approximation to a Poisson noise model, and prior assumptions that enforce both smoothness and non-negativity constraints. A Markov chain Monte Carlo algorithm is used to obtain samples from the target posterior, and the reconstruction and uncertainty estimates are the computed mean and variance of the samples, respectively. Lastly, synthetic data-sets are used to demonstrate accurate reconstruction, while real data taken with high-energy X-ray imaging systems are used to demonstrate applicability and feasibility.« less

  9. A stochastic approach to quantifying the blur with uncertainty estimation for high-energy X-ray imaging systems

    SciTech Connect (OSTI)

    Fowler, Michael J.; Howard, Marylesa; Luttman, Aaron; Mitchell, Stephen E.; Webb, Timothy J.

    2015-06-03

    One of the primary causes of blur in a high-energy X-ray imaging system is the shape and extent of the radiation source, or ‘spot’. It is important to be able to quantify the size of the spot as it provides a lower bound on the recoverable resolution for a radiograph, and penumbral imaging methods – which involve the analysis of blur caused by a structured aperture – can be used to obtain the spot’s spatial profile. We present a Bayesian approach for estimating the spot shape that, unlike variational methods, is robust to the initial choice of parameters. The posterior is obtained from a normal likelihood, which was constructed from a weighted least squares approximation to a Poisson noise model, and prior assumptions that enforce both smoothness and non-negativity constraints. A Markov chain Monte Carlo algorithm is used to obtain samples from the target posterior, and the reconstruction and uncertainty estimates are the computed mean and variance of the samples, respectively. Lastly, synthetic data-sets are used to demonstrate accurate reconstruction, while real data taken with high-energy X-ray imaging systems are used to demonstrate applicability and feasibility.

  10. Estimates of the Global Indirect Energy-Use Emission Impacts of USA Biofuel Policy

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A

    2012-01-01

    This paper evaluates the indirect energy-use emission implications of increases in the use of biofuels in the USA between 2001 and 2010 as mandates within a dynamic global computable general equilibrium model. The study incorporates explicit markets for biofuels, petroleum and other fossil fuels, and accounts for interactions among all sectors of an 18-region global economy. It considers bilateral trade, as well as the dynamics of capital allocation and investment. Simulation results show that the biofuel mandates in the USA generate an overall reduction in global energy use and emissions over the simulation period from 2001 to 2030. Consequently, the indirect energy-use emission change or emission leakage under the mandate is negative. That is, global emission reductions are larger than the direct emission savings from replacing petroleum with biofuels under the USA RFS2 over the last decade. Under our principal scenario this enhanced the direct emission reduction from biofuels by about 66%. The global change in lifecycle energy-use emissions for this scenario was estimated to be about 93 million tons of CO2e in 2010, 45 million tons of CO2e in 2020, and an increase of 5 million tons of CO2e in 2030, relative to the baseline scenario. Sensitivity results of six alternative scenarios provided additional insights into the pattern of the regional and global effects of biofuel mandates on energy-use emissions.

  11. NREL Report Estimates Market Potential of Shared Solar and Discusses...

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

    Report Estimates Market Potential of Shared Solar and Discusses Relevant Securities Regulations April 27, 2015 Analysis from the Energy Department's National Renewable Energy ...

  12. Karuk Tribe Strategic Energy Plan and Energy Options Analysis

    SciTech Connect (OSTI)

    Ramona Taylor, Karuk Tribe; David Carter, Winzler and Kelly

    2009-03-31

    Energy planning document to assist the Karuk Tribe in making educated decisions about future energy priorities and implementation.

  13. Geothermal -- The Energy Under Our Feet: Geothermal Resource Estimates for the United States

    SciTech Connect (OSTI)

    Green, B. D.; Nix, R. G.

    2006-11-01

    On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource or application: (1) Hydrothermal, (2) Deep Geothermal Systems, (3) Direct Use, (4) Geothermal Heat Pumps (GHPs), and (5) Co-Produced and Geopressured. The workshop found that the domestic geothermal resource is very large, with significant benefits.

  14. Unbiased free energy estimates in fast nonequilibrium transformations using Gaussian mixtures

    SciTech Connect (OSTI)

    Procacci, Piero

    2015-04-21

    In this paper, we present an improved method for obtaining unbiased estimates of the free energy difference between two thermodynamic states using the work distribution measured in nonequilibrium driven experiments connecting these states. The method is based on the assumption that any observed work distribution is given by a mixture of Gaussian distributions, whose normal components are identical in either direction of the nonequilibrium process, with weights regulated by the Crooks theorem. Using the prototypical example for the driven unfolding/folding of deca-alanine, we show that the predicted behavior of the forward and reverse work distributions, assuming a combination of only two Gaussian components with Crooks derived weights, explains surprisingly well the striking asymmetry in the observed distributions at fast pulling speeds. The proposed methodology opens the way for a perfectly parallel implementation of Jarzynski-based free energy calculations in complex systems.

  15. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    SciTech Connect (OSTI)

    Wang, Feng; Huisman, Jaco; Stevels, Ab; Baldé, Cornelis Peter

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e

  16. Grid Renewable Energy-Economic and Financial Analysis | Open...

    Open Energy Information (Open El) [EERE & EIA]

    and Financial Analysis Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Grid Renewable Energy-Economic and Financial Analysis AgencyCompany Organization: World Bank...

  17. Renewable Energy Economic and Financial Analysis Terms of Reference...

    Open Energy Information (Open El) [EERE & EIA]

    Analysis Terms of Reference Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy Economic and Financial Analysis Terms of Reference AgencyCompany...

  18. Energy Department Analysis: Loan Guarantee Program Launched Utility...

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

    Department Analysis: Loan Guarantee Program Launched Utility-Scale Photovoltaic Solar Market in the United States Energy Department Analysis: Loan Guarantee Program Launched ...

  19. Quarterly Analysis Review February 2015 | Department of Energy

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

    The Quarterly Analysis Review (QAR) surveys both work supported by the Vehicle Technologies Office Analysis Program within the broader context of energy and automotive U.S. and ...

  20. Webinar: Overview of the Clean Energy Manufacturing Analysis Center

    Energy.gov [DOE]

    As part of the Clean Energy Manufacturing Initiative, the U.S. Department of Energy recently launched the Clean Energy Manufacturing Analysis Center (CEMAC). CEMAC is a collaboration across the...

  1. Behavioral Economics Applied to Energy Demand Analysis: A Foundation

    U.S. Energy Information Administration (EIA) (indexed site)

    Behavioral Economics Applied to Energy Demand Analysis: A Foundation October 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. ...

  2. Analysis of Energy Efficiency Program Impacts Based on Program...

    U.S. Energy Information Administration (EIA) (indexed site)

    Analysis of Energy Efficiency Program Impacts Based on Program Spending May 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. ...

  3. Strategic Energy Analysis Institute to Hold Annual Meeting - News Releases

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

    | NREL Strategic Energy Analysis Institute to Hold Annual Meeting Second Annual Meeting Brings Key Stakeholders Together March 5, 2012 The Joint Institute for Strategic Energy Analysis (JISEA), a transdisciplinary global research group focused on the nexus of energy, environment, finance and society, headquartered at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL), will address transformational trends in the global energy economy at its annual meeting, March 7-8

  4. 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

  5. Analysis of the Clean Energy Standard Act of 2012

    Gasoline and Diesel Fuel Update

    Energy Efficiency Program Impacts Based on Program Spending May 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Analysis of Energy Efficiency Program Impacts Based on Program Spending 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, EIA's data, analyses, and forecasts are independent of

  6. Cost analysis of energy storage systems for electric utility applications

    SciTech Connect (OSTI)

    Akhil, A.; Swaminathan, S.; Sen, R.K.

    1997-02-01

    Under the sponsorship of the Department of Energy, Office of Utility Technologies, the Energy Storage System Analysis and Development Department at Sandia National Laboratories (SNL) conducted a cost analysis of energy storage systems for electric utility applications. The scope of the study included the analysis of costs for existing and planned battery, SMES, and flywheel energy storage systems. The analysis also identified the potential for cost reduction of key components.

  7. Benefits Analysis for DOE Energy Technology Portfolio Assessment: Background

    SciTech Connect (OSTI)

    Beschen, Darrell

    2006-12-20

    A presentation for the FY 2007 GPRA methodology review on benefits analysis for the DOE energy technology portfolio assessment.

  8. Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.

    2012-09-01

    Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.

  9. Estimate of Geothermal Energy Resource in Major U.S. Sedimentary Basins (Presentation)

    SciTech Connect (OSTI)

    Porro, C.; Augustine, C.

    2012-04-01

    This study estimates the magnitude of geothermal energy from fifteen major known US sedimentary basins and ranks these basins relative to their potential. Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties are known. This reduces exploration risk and allows development of geologic exploration models for each basin as well as a relative assessment of geologic risk elements for each play. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by Muffler (USGS). Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient Information were gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data was insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission websites. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size and temperature distribution, and to qualitatively assess reservoir productivity.

  10. A tool for estimating the mix of energy conservation measures given competing acquisition scenarios

    SciTech Connect (OSTI)

    Schultz, R.W.

    1991-03-01

    Bonneville Power Administration (BPA) is conducting analyses that are to serve the Resource Program Environmental Impact Statement (RP/EIS). Parts of the RP/EIS are to address the impacts of commercial sector electricity conservation acquisitions under various conservation acquisition alternatives. These impacts include the energy conservation measure (ECM) mix adopted by the commercial sector and the equipment/technology that would be replaced by implementing new ECMs. The goal of this project was to develop a tool that has the capability to detail region-wide numerical estimates of the commercial sector ECM and replaced technology mix. The tool (hereafter called ECMMIX) was to be sufficiently flexible and user friendly that analysts could easily perform sensitivity tests of alternative forecasts of energy conservation acquisitions. It needed to have the capability to assess impacts across different building types, utility regions, vintage and end-use categories, as well as to aggregate similar ECMs across all categories. The aggregation capability was to exist for the replaced technology as well. Chapter 2 presents specific details about the methodology and assumptions adopted in developing ECMMIX. Included is a discussion of data disaggregation, adjustment to forecasted savings estimates, and incorporation of ADM and Ecotope ECMs. Chapter 3 contains a users guide to ECMMIX and concluding comments. 14 refs., 3 tabs.

  11. Estimating Energy and Water Losses in Residential Hot WaterDistribution Systems

    SciTech Connect (OSTI)

    Lutz, James

    2005-02-26

    Residential single family building practice currently ignores the losses of energy and water caused by the poor design of hot water systems. These losses include; the waste of water while waiting for hot water to get to the point of use; the wasted heat as water cools down in the distribution system after a draw; and the energy needed to reheat water that was already heated once before. Average losses of water are estimated to be 6.35 gallons (24.0 L) per day. (This is water that is rundown the drain without being used while waiting for hot water.) The amount of wasted hot water has been calculated to be 10.9 gallons (41.3L) per day. (This is water that was heated, but either is not used or issued after it has cooled off.) A check on the reasonableness of this estimate is made by showing that total residential hot water use averages about 52.6 gallons (199 L) per day. This indicates about 20 percent of average daily hot water is wasted.

  12. An analysis of buildings-related energy use in manufacturing

    SciTech Connect (OSTI)

    Niefer, M.J.; Ashton, W.B.

    1997-04-01

    This report presents research by the Pacific Northwest National Laboratory (PNNL) to develop improved estimates of buildings-related energy use in US manufacturing facilities. The research was supported by the Office of Building Technology, State and Community Programs (BTS), Office of Energy Efficiency and Renewable Energy (EERE), US Department of Energy (DOE). The research scope includes only space conditioning and lighting end uses. In addition, this study also estimates the energy savings potential for application of selected commercial buildings technologies being developed by the BTS office to manufacturing and other industrial process facilities. 17 refs., 2 figs., 19 tabs.

  13. NREL: Energy Analysis - The Energy DataBus

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

    the National Renewable Energy Laboratory (NREL) has created the Energy DataBus-a system for organizations to store and process their energy data (or any time-series data)....

  14. NREL: Energy Analysis - Renewable Energy on Contaminated Lands

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

    Renewable Energy on Contaminated Lands Map of U.S. Map of Potential Limbo Land Sites for Consideration for Renewable Energy Technology Development. Enlarge image NREL's ...

  15. Line Extension Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Coal with CCS Concentrating Solar Power Energy Storage Fuel Cells Geothermal Electric Natural Gas Nuclear Wind energy BiomassBiogas Hydroelectric energy Hydroelectric (Small)...

  16. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

    Gasoline and Diesel Fuel Update

    EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census ...

  17. Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the §1603Treasury Grant Program

    SciTech Connect (OSTI)

    Steinberg, Daniel; Porro, Gian; Goldberg, Marshall

    2012-04-01

    This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the §1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the §1603 grant program.

  18. Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the ..Section..1603 Treasury Grant Program

    SciTech Connect (OSTI)

    Steinberg, D.; Porro, G.; Goldberg, M.

    2012-04-01

    This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the Section 1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the Section 1603 grant program.

  19. Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the §1603 Treasury Grant Program

    SciTech Connect (OSTI)

    Steinberg, Daniel; Porro, Gian; Goldberg, Marshall

    2012-04-09

    This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the §1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the §1603 grant program.

  20. Analysis of the Clean Energy Standard Act of 2012

    Gasoline and Diesel Fuel Update

    the Clean Energy Standard Act of 2012 May 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Analysis of the Clean Energy Standard Act of 2012 ii Contacts This report, Analysis of the Clean Energy Standard Act of 2012, was prepared under the general guidance of John Conti, Assistant Administrator for Energy Analysis, J. Alan Beamon at 202/586-2025 (email, joseph.beamon@eia.gov), Director, Office of

  1. Experts Meeting: Behavioral Economics as Applied to Energy Demand Analysis and Energy Efficiency Programs

    U.S. Energy Information Administration (EIA) (indexed site)

    Experts Meeting: Behavioral Economics as Applied to Energy Demand Analysis and Energy Efficiency Programs EIA Office of Energy Consumption and Efficiency Analysis July 17, 2013 | Washington, DC Meeting Agenda Jim Turnure, Director, Office of Energy Consumption and Efficiency Analysis July 17, 2013 2 * EIA WELCOME AND INTRODUCTION (15 minutes) * ORIENTATION/PRESENTATION: OVERVIEW OF EIA RESIDENTIAL AND COMMERCIAL DEMAND MODELS AND CURRENT METHODS FOR INCORPORATING ENERGY EFFICIENCY/EFFICIENCY

  2. Low-Risk and Cost-Effective Prior Savings Estimates for Large-Scale Energy Conservation Projects in Housing: Learning from the Fort Polk GHP Project

    SciTech Connect (OSTI)

    Shonder, John A; Hughes, Patrick; Thornton, Jeff W.

    1997-08-01

    totaled, and by adjusting thermostat setpoints and outdoor air infiltration parameters, the models were matched to field-collected energy consumption data for the entire feeder. The energy conservation measures were then implemented in the calibrated model: the air source heat pumps were replaced by geothermal heat pumps (GHPs) with desuperheaters; hot water loads were reduced to account for the low-flow shower heads; and lighting loads were reduced to account for fixture delamping and replacement with compact fluorescent lights (CFLs). Our analysis of pre- and post-retrofit data (Shonder and Hughes, 1997) indicates that the retrofits have saved 30.3% of pre-retrofit electrical energy consumption on the feeder modeled in this paper. Using the method outlined, we have been able to predict this savings within 0.1% of its measured value, using only pre-construction energy consumption data, and data from one pilot test site. It is well-known that predictions of savings from energy conservation programs are often optimistic, especially in the case of residential retrofits. Fels and keating (1993) cite several examples of programs which achieved as little as 20% of the predicted energy savings. Factors which influence the sometimes large discrepancies between actual and predicted savings include changes in occupancy, take-back effects (in which more efficient system operation leads occupants to choose higher levels of comfort), and changes in base energy use (e.g. through purchase of additional appliances such as washing machines and clothes dryers). An even larger factor, perhaps, is the inaccuracy inherent in the engineering models (BLAST, DOE-2, etc.) commonly used to estimate building energy consumption, if these models are not first calibrated to site-monitored data. For example, prior estimates of base-wide savings from the Fort Polk ESPC were on the order of 40% of pre-retrofit electrical use; our analysis has shown the true savings for the entire project (which includes

  3. Clean Energy Manufacturing Analysis Center Webinar

    Energy.gov [DOE]

    The U.S. Department of Energy offers a webinar to address clean energy manufacturing on April 5. Register today!

  4. NREL: Energy Analysis - Energy Data for Decision Makers

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

    Energy Data for Decision Makers The National Renewable Energy Laboratory (NREL) is home to a wealth of data and tools that can be linked together to derive knowledge and expand decision-making capabilities. Our platform links energy communities and decision makers such as policymakers, researchers, technology investors, venture capitalists, and market professionals - with valuable energy data, information, analyses, tools, images, maps, and other resources. Cover of the Renewable Energy Data

  5. Winnebago Tribe - Energy Options Analysis and Organization Development - First Steps

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

    D.O.E. Tribal Energy Program Review Energy Options Analysis and Organization Development: A First Steps Project Overview October 20, 2005 © 2005 All Rights Reserved Discussion Outline Background The Winnebago Tribe Leveraging Prior and Future Work Project Objectives The Winnebago Strategic Energy Vision Project Approach Energy Options Analysis Utility Organization Analysis Project Benefits Assessment Implementation Plan Project Contacts © 2005 All Rights Reserved Background The Winnebago Tribe

  6. NREL Launches Strategic Energy Analysis Institute - News Releases | NREL

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

    Launches Strategic Energy Analysis Institute Doug Arent named Executive Director by Lab, Academic Partners March 18, 2010 The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) announced today that it has established a new global institute dedicated to analyzing, speeding and smoothing the transition to sustainable energy worldwide. NREL Senior Scientist Doug Arent has been named executive director of the new Joint Institute for Strategic Energy Analysis (JISEA) by its

  7. Integrated Energy Analysis and Validation Environment | Department of

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

    Energy Integrated Energy Analysis and Validation Environment Integrated Energy Analysis and Validation Environment Lead Performer: EnergyAnalytics - Avon, CT DOE Funding: $86,147 Cost Share: N/A Project Term: June 2014 - March 2015 Funding Opportunity: Small Business Innovation Research FY 2014 Phase 1 Release 2 Awards Project Objective A great deal of progress has been made in delivery of highly mature building systems energy simulation tools. However, application of these highly

  8. A Retrospective Analysis of Commercial Building Energy Codes: 1990 2008

    SciTech Connect (OSTI)

    Belzer, David B.; McDonald, Sean C.; Halverson, Mark A.

    2010-10-01

    Building Energy Codes Program's efforts are designed to result in increased stringency in national model energy codes, more rapid and broader adoption by states and localities of updated codes, and increased compliance and enforcement. Report estimates the historical impact of Building Energy Codes Program in terms of energy savings achieved that are based upon various editions of ANSI/ASHRAE/IESNA Standard 90.1 (ASHRAE Standard 90.1).

  9. Developing a Cost Model and Methodology to Estimate Capital Costs for Thermal Energy Storage

    SciTech Connect (OSTI)

    Glatzmaier, G.

    2011-12-01

    This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation

  10. NREL: Energy Analysis - Hydrogen and Fuel Cells Technology Analysis

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

    delivery systems for fuel cell electric vehicles (FCEVs) ... Genevieve Saur Yongling Sun Access more information on ... Energy, Office of Energy Efficiency and Renewable Energy, ...

  11. Estimate of Cost-Effective Potential for Minimum Efficiency Performance Standards in 13 Major World Economies Energy Savings, Environmental and Financial Impacts

    SciTech Connect (OSTI)

    Letschert, Virginie E.; Bojda, Nicholas; Ke, Jing; McNeil, Michael A.

    2012-07-01

    This study analyzes the financial impacts on consumers of minimum efficiency performance standards (MEPS) for appliances that could be implemented in 13 major economies around the world. We use the Bottom-Up Energy Analysis System (BUENAS), developed at Lawrence Berkeley National Laboratory (LBNL), to analyze various appliance efficiency target levels to estimate the net present value (NPV) of policies designed to provide maximum energy savings while not penalizing consumers financially. These policies constitute what we call the “cost-effective potential” (CEP) scenario. The CEP scenario is designed to answer the question: How high can we raise the efficiency bar in mandatory programs while still saving consumers money?

  12. Pathways analysis and radiation-dose estimates for radioactive residues at formerly utilized MED/AEC sites

    SciTech Connect (OSTI)

    Gilbert, T.L.; Chee, P.C.; Knight, M.J.; Peterson, J.M.; Roberts, C.J.; Robinson, J.E.; Tsai, S.Y.H.; Yuan, Y.C.

    1983-03-01

    Methods of analysis are developed for estimating the largest individual radiation dose that could result from residual radioactivity at sites identified by the Formerly Utilized Sites Remedial Action Program (FUSRAP) of the US Department of Energy. Two unique aspects of the methods are (1) a systematic structuring of the radiation pathways analysis into source terms, source-to-exposure analysis, and exposure-to-dose analysis, and (2) the systematic use of data on the average concentrations of naturally occurring radionuclides in soil, food, and the human body in order to assess the validity of model calculations and obtain more realistic values. The methods are applied to a typical FUSRAP site in order to obtain generic source-to-dose (D/S) conversion factors for estimating the radiation dose to the maximally exposed individual from a known concentration of radionuclides in the soil. The D/S factors are used to derive soil guidelines, i.e., the limiting concentrations of radionuclides at a typical FUSRAP site that are unlikely to result in individual dose limits that exceed generally accepted radiation protection standards. The results lead to the conclusion that the soil guidelines should not exceed 17, 75, and 300 pCi/g for Ra-226, U-238, and Th-230, respectively.

  13. Home Performance with ENERGY STAR: Utility Bill Analysis on Homes Participating in Austin Energy's Program

    SciTech Connect (OSTI)

    Belzer, D.; Mosey, G.; Dagher, L.; Plympton, P.

    2008-01-01

    Home Performance with ENERGY STAR (HPwES) is a jointly managed program of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA). This program focuses on improving energy efficiency in existing homes via a whole-house approach to assessing and improving a home's energy performance, and helping to protect the environment. As a local sponsor for HPwES, Austin Energy's HPwES program offers a complete home energy assessment and a list of recommendations for efficiency improvements, along with cost estimates. The owner can choose to implement only one or the complete set of energy conservation measures. Austin Energy facilitates the process by providing economic incentives to the homeowner through its HPwES Loan program and its HPwES Rebate program. In 2005, the total number of participants in both programs was approximately 1,400. Both programs are only available for improvements made by a participating HPwES contractor. The individual household billing data - encompassing more than 7,000 households - provided by Austin Energy provides a rich data set to estimate the impacts of its HPwES program. The length of the billing histories is sufficient to develop PRISM-type models of electricity use based on several years of monthly bills before and after the installation of the conservation measures. Individual household savings were estimated from a restricted version of a PRISM-type regression model where the reference temperature to define cooling (or heating degree days) was estimated along with other parameters. Because the statistical quality of the regression models varies across individual households, three separate samples were used to measure the aggregate results. The samples were distinguished on the basis of the statistical significance of the estimated (normalized) cooling consumption. A normalized measure of cooling consumption was based on average temperatures observed over the most recent nine-year period ending in 2006. This

  14. Category:Core Analysis | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Analysis page? For detailed information on Core Analysis as exploration techniques, click here. Category:Core Analysis Add.png Add a new Core Analysis Technique Pages in...

  15. Pulse Analysis Spectroradiometer System (PASS) Software - Energy Innovation

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

    Portal Energy Analysis Energy Analysis Find More Like This Return to Search Pulse Analysis Spectroradiometer System (PASS) Software National Renewable Energy Laboratory Contact NREL About This Technology Publications: PDF Document Publication Pulse Analysis Spectroradiometer System for Measuring the Spectral Distribution of Flash Solar Simulators http://www.nrel.gov/docs/fy08osti/43652.pdf (576 KB) Technology Marketing SummaryFlashing artificial light sources are used extensively in

  16. 2011 Biomass Program Plaform Peer Review: Analysis | Department of Energy

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

    Plaform Peer Review: Analysis 2011 Biomass Program Plaform Peer Review: Analysis This document summarizes the recommendations and evaluations provided by an independent external panel of experts at the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Biomass Program's Analysis Platform Review meeting, held on April 4, 2011, at the Doubletree Hotel in Annapolis, Maryland. 2011_analysis_review.pdf (2.15 MB) More Documents & Publications 2011 Biomass Program Platform

  17. RETScreen Clean Energy Project Analysis Software | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    Focus Area: Biomass, - Biomass Combustion, - Biomass Gasification, Buildings, Energy Efficiency, - Central Plant, Geothermal, Greenhouse Gas, Ground Source Heat Pumps, Hydrogen,...

  18. Analysis of the results of Federal incentives used to stimulate energy production

    SciTech Connect (OSTI)

    Cone, B.W.; Emery, J.C.; Fassbender, A.G.

    1980-06-01

    The research program analyzed the Federal incentives used to stimulate nuclear, hydro, coal, gas, oil, and electricity production in order to supply what was learned to the selection of an incentives strategy to induce new energy production from renewable resources. Following the introductory chapter, Chapter 2 examines the problem of estimating effects from a theoretical perspective. Methods of quantifying and identifying the many interactive effects of government actions are discussed. Chapter 3 presents a generic analysis of the result of Federal incentives. Chapters 4 through 9 deal with incentives to energy forms - nuclear, hydro, coal, oil, gas, and electricity. Chapter 10 summarizes the estimated results of the incentives, which are presented in terms of their quantity and price impacts. The incentive costs per million Btu of induced energy production is also discussed. Chapter 11 discusses the parity issue, that is an equivalence between Federal incentives to renewable resources and to traditional energy resources. Any analysis of incentives for solar needs will profit from an analysis of the costs of solar incentives per million Btu compared with those for traditional energy forms. Chapter 12 concludes the analysis, discussing the history of traditional energy incentives as a guide to solar-energy incentives. 216 references, 38 figures, 91 tables.

  19. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projection...

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

    That increase in supply has in turn lowered the price of natural gas to manufacturers Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use ...

  20. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

    Gasoline and Diesel Fuel Update

    This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to ...

  1. SWERA/Analysis Tools | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    and energy resource availability. HOMER simulates both conventional and renewable energy technologies and finds the least cost combination of components that meets electrical...

  2. Analysis Activities at Fossil Energy/ National Energy Technology Laboratory

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation on NETL’s analysis activities to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004.

  3. Meta-Analysis of Estimates of Life Cycle Greenhouse Gas Emissions from Concentrating Solar Power: Preprint

    SciTech Connect (OSTI)

    Heath, G. A.; Burkhardt, J. J.

    2011-09-01

    In reviewing life cycle assessment (LCA) literature of utility-scale CSP systems, this analysis focuses on clarifying central tendency and reducing variability in estimates of life cycle greenhouse gas (GHG) emissions through a meta-analytical process called harmonization. From 125 references reviewed, 10 produced 36 independent GHG emission estimates passing screens for quality and relevance: 19 for parabolic trough technology and 17 for power tower technology. The interquartile range (IQR) of published GHG emission estimates was 83 and 20 g CO2eq/kWh for trough and tower, respectively, with medians of 26 and 38 g CO2eq/kWh. Two levels of harmonization were applied. Light harmonization reduced variability in published estimates by using consistent values for key parameters pertaining to plant design and performance. Compared to the published estimates, IQR was reduced by 69% and median increased by 76% for troughs. IQR was reduced by 26% for towers, and median was reduced by 34%. A second level of harmonization was applied to five well-documented trough LC GHG emission estimates, harmonizing to consistent values for GHG emissions embodied in materials and from construction activities. As a result, their median was further reduced by 5%, while the range increased by 6%. In sum, harmonization clarified previous results.

  4. Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands

    SciTech Connect (OSTI)

    Doris, E.; Lopez, A.; Beckley, D.

    2013-02-01

    This technical report uses an established geospatial methodology to estimate the technical potential for renewable energy on tribal lands for the purpose of allowing Tribes to prioritize the development of renewable energy resources either for community scale on-tribal land use or for revenue generating electricity sales.

  5. Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid

    SciTech Connect (OSTI)

    Barker, Alan M; Freer, Eva B; Omitaomu, Olufemi A; Fernandez, Steven J; Chinthavali, Supriya; Kodysh, Jeffrey B

    2013-01-01

    An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

  6. U.S. Virgin Islands Energy Road Map: Analysis

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

    Energy Road Map: Analysis Eric Lantz, Dan Olis, and Adam Warren Technical Report NRELTP-7A20-52360 September 2011 NREL is a national laboratory of the U.S. Department of Energy, ...

  7. Issues in International Energy Consumption Analysis: Canadian Energy Demand

    Reports and Publications

    2015-01-01

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

  8. Role of Analysis | Department of Energy

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

    Role of Analysis Role of Analysis Presentation on the role of analysis to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004 to discuss and define role of systems analysis in DOE Hydrogen Program. 2_role_analysis_chalk.pdf (90.38 KB) More Documents & Publications Systems Analysis Workshop Purpose Systems Analysis Workshop Welcome & Introductions Systems Analysis Workshop Agenda

  9. Solar DATA ANALYSIS | Department of Energy

    Office of Environmental Management (EM)

    DATA ANALYSIS Solar DATA ANALYSIS Solar Business Innovation Networking and Solar Technical Assistance Solar Training Solar DATA ANALYSIS To meet the goals of the SunShot ...

  10. System Analysis Success Stories | Department of Energy

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

    System Analysis Success Stories System Analysis Success Stories Program Links System Analysis Success Stories Economic Impact Tools National Geothermal Data System (NGDS) Initiative

  11. International Clean Energy Analysis en Espaol | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    a range of solar energy technologies for electricity generation, including PV systems, solar thermal troughs, power towers, and dish-Stirling systems. Program and Partnership...

  12. Energy System and Scenario Analysis Toolkit | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    for 215 countries. The statistics include crude oil production, oil consumption, natural gas production and consumption, electricity generation and consumption, primary energy,...

  13. Energy System and Scenario Analysis Toolkit | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    energy statistics for 215 countries. The statistics include crude oil production, oil consumption, natural gas production and consumption, electricity generation and...

  14. Determination analysis of energy conservation standards for distribution transformers

    SciTech Connect (OSTI)

    Barnes, P.R.; Van Dyke, J.W.; McConnell, B.W.; Das, S.

    1996-07-01

    This report contains information for US DOE to use in making a determination on proposing energy conservation standards for distribution transformers as required by the Energy Policy Act of 1992. Potential for saving energy with more efficient liquid-immersed and dry-type distribution transformers could be significant because these transformers account for an estimated 140 billion kWh of the annual energy lost in the delivery of electricity. Objective was to determine whether energy conservation standards for distribution transformers would have the potential for significant energy savings, be technically feasible, and be economically justified from a national perspective. It was found that energy conservation for distribution transformers would be technically and economically feasible. Based on the energy conservation options analyzed, 3.6-13.7 quads of energy could be saved from 2000 to 2030.

  15. NREL: Energy Analysis: Life Cycle Assessment Harmonization

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

    technologies, clarifying inconsistent and conflicting estimates in the published literature and reducing uncertainty. Highlights of Recent Studies Chart that compares published...

  16. Nuclear Energy Institute (NEI) Attachment, Integrated Safety Analysis |

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

    Department of Energy Energy Institute (NEI) Attachment, Integrated Safety Analysis Nuclear Energy Institute (NEI) Attachment, Integrated Safety Analysis This paper addresses why the use of an Integrated Safety Analysis ("ISA") is appropriate for fuel recycling facilities1 which would be licensed under new regulations currently being considered by NRC. The use of the ISA for fuel facilities under Part 70 is described and compared to the use of a Probabilistic Risk Assessment

  17. Climate Science for a Sustainable Energy Future Atmospheric Radiation Measurement Best Estimate (CSSEFARMBE)

    SciTech Connect (OSTI)

    Riihimaki, Laura D.; Gaustad, Krista L.; McFarlane, Sally A.

    2012-09-28

    The Climate Science for a Sustainable Energy Future (CSSEF) project is working to improve the representation of the hydrological cycle in global climate models, critical information necessary for decision-makers to respond appropriately to predictions of future climate. In order to accomplish this objective, CSSEF is building testbeds to implement uncertainty quantification (UQ) techniques to objectively calibrate and diagnose climate model parameterizations and predictions with respect to local, process-scale observations. In order to quantify the agreement between models and observations accurately, uncertainty estimates on these observations are needed. The DOE Atmospheric Radiation Measurement (ARM) program takes atmospheric and climate related measurements at three permanent locations worldwide. The ARM VAP called the ARM Best Estimate (ARMBE) [Xie et al., 2010] collects a subset of ARM observations, performs quality control checks, averages them to one hour temporal resolution, and puts them in a standard format for ease of use by climate modelers. ARMBE has been widely used by the climate modeling community as a summary product of many of the ARM observations. However, the ARMBE product does not include uncertainty estimates on the data values. Thus, to meet the objectives of the CSSEF project and enable better use of this data with UQ techniques, we created the CSSEFARMBE data set. Only a subset of the variables contained in ARMBE is included in CSSEFARMBE. Currently only surface meteorological observations are included, though this may be expanded to include other variables in the future. The CSSEFARMBE VAP is produced for all extended facilities at the ARM Southern Great Plains (SGP) site that contain surface meteorological equipment. This extension of the ARMBE data set to multiple facilities at SGP allows for better comparison between model grid boxes and the ARM point observations. In the future, CSSEFARMBE may also be created for other ARM sites. As

  18. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &

    Gasoline and Diesel Fuel Update

    Projections - U.S. Energy Information Administration (EIA) 2012 CBECS Preliminary Results What is a commercial building? The CBECS includes buildings greater than 1,000 square feet that devote more than half of their floorspace to activity that is neither residential, manufacturing, industrial, nor agricultural. When will energy consumption estimates be available? Energy consumption and expenditures data will be available beginning in spring 2015. CBECS data collection is currently in its

  19. A simplified model for estimating population-scale energy impacts of building envelope air-tightening and mechanical ventilation retrofits

    SciTech Connect (OSTI)

    Logue, Jennifer M.; Turner, William J. N.; Walker, Iain S.; Singer, Brett C.

    2015-01-19

    Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector's energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level. The Incremental Ventilation Energy (IVE) model developed in this study combines the output of simple air exchange models with a limited set of housing characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modellers to use existing databases of housing characteristics to determine the impact of ventilation policy change on a population scale. The IVE model estimates of energy change when applied to US homes with limited parameterisation are shown to be comparable to the estimates of a well-validated, complex residential energy model.

  20. Office of Energy Policy and Systems Analysis | Department of Energy

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

    DOE/CF-0125 Budget in Brief Department of Energy FY 2017 Congressional Budget Request February 2016 Office of Chief Financial Officer DOE/CF-0125 Budget in Brief Printed with soy ink on recycled paper Department of Energy FY 2017 Congressional Budget Request FY 2017 BUDGET IN BRIEF TABLE OF CONTENTS Overview