National Library of Energy BETA

Sample records for analysis energy estimates

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Storage Energy Analysis Energy Analysis Find More Like This Return to Search Battery Life Estimation (BLE) and Data Analysis Argonne National Laboratory Contact ANL About...

  2. 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...

  3. 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.

  4. 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...

  5. Cost Estimating, Analysis, and Standardization

    Broader source: 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

  6. 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...

  7. 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.

  8. NREL: Energy Analysis - Manufacturing Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis Home Capabilities & Expertise Key Activities Analysis of Project Finance ... Supply Constraints Analysis Workforce Development Analysis Resource Assessment Models & ...

  9. 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

  10. 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.

  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. NREL: Energy Analysis - Tyler Stehly

    Broader source: All U.S. Department of Energy (DOE) Office 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

  13. 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.

  14. 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.

  15. 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.

  16. 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

  17. 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.

  18. Energy Analysis

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    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.

  19. 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.

  20. NREL: Energy Analysis - Janine Freeman

    Broader source: All U.S. Department of Energy (DOE) Office 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

  1. Energy Market Analysis

    Broader source: Energy.gov [DOE]

    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:

  2. 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.

  3. NREL: Energy Analysis - Market Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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

  4. Retrofit Energy Savings Estimation Model | Open Energy Information

    Open Energy Info (EERE)

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

  5. NREL: Energy Analysis - Energy Sciences Technology Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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

  6. Energy Savings Estimates of Light Emitting Diodes

    Broader source: Energy.gov [DOE]

    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. NREL: Energy Analysis - Maureen Hand

    Broader source: All U.S. Department of Energy (DOE) Office 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

  8. 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

  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. NREL: Energy Analysis - Sustainability Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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

  11. 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 -...

  12. 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, ...

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

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy Zero Energy Ready Home Savings and Cost Estimate Summary, October 2015

  14. Transportation Energy Systems Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Systems Analysis - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  15. NREL: Energy Analysis: Energy-Water Nexus

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Analysis of Project Finance Electric Sector Integration Energy-Water Nexus Energy-Water Modeling and Analysis Technology Development and Deployment Energy-Water System Solutions ...

  16. NREL: Energy Analysis - Publications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Analysis The front cover of the Reimagining What's Possible brochure. PDF 3.6 MB Making Sustainable Energy Choices: Insights on the EnergyWater Land Nexus The front cover of...

  17. Resource Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Resource Analysis Technological Feasibility & Cost Analysis Environmental Analysis Delivery Analysis Infrastructure Development & Financial Analysis Energy Market Analysis DOE H2A ...

  18. Sandia Energy - Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  19. 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.

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

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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

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

    Energy Savers [EERE]

    1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations On September 30 and October 1, 2014, the Department of Energy...

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

    Office of Environmental Management (EM)

    2 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 2 Presentations On September 30 and October 1, 2014, the Department of Energy...

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

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  4. 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 ...

  5. NREL: Energy Analysis - Energy Analysis Newsletter

    Broader source: All U.S. Department of Energy (DOE) Office 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

  6. Analysis Procedures to Estimate Seismic Demands of Structures...

    Office of Environmental Management (EM)

    to Estimate Seismic Demands of Structures Presentation from the May 2015 Seismic Lessons-Learned Panel Meeting. PDF icon Analysis Procedures to Estimate Seismic Demands of...

  7. NREL: Energy Analysis - News

    Broader source: All U.S. Department of Energy (DOE) Office 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.

  8. Energy Analysis by Sector | Department of Energy

    Office of Environmental Management (EM)

    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

  9. 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

  10. NREL: Energy Analysis - Greg Brinkman

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    modeling of electric power systems Emission estimation from electric power systems Air quality modeling Primary research interests Integration of renewable energy, energy...

  11. Estimating the Benefits and Costs of Distributed Energy Technologies

    Energy Savers [EERE]

    Workshop - Agenda and Summary | Department of Energy 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 of the workshop was to foster discussion about the analytic challenges

  12. Interruption Cost Estimate Calculator | Open Energy Information

    Open Energy Info (EERE)

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

  13. Estimating Renewable Energy Economic Potential in the United...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Estimating Renewable Energy Economic Potential in the United States: Methodology and ... 2. Capacity additions and growth II. Economic Potential 1. Summary of initial results ...

  14. International Clean Energy Analysis | Open Energy Information

    Open Energy Info (EERE)

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

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

    Broader source: 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...

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

    Reports and Publications (EIA)

    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.

  17. 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

  18. Estimating the Benefits and Costs of Distributed Energy Technologies

    Office of Environmental Management (EM)

    Workshop - Day 1 Presentations | Department of Energy 1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations 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 of the workshop was to foster discussion about the analytic challenges associated with valuing the diverse impacts of deploying distributed

  19. Estimating the Benefits and Costs of Distributed Energy Technologies

    Office of Environmental Management (EM)

    Workshop - Day 2 Presentations | Department of Energy 2 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 2 Presentations 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 of the workshop was to foster discussion about the analytic challenges associated with valuing the diverse impacts of deploying distributed

  20. NREL: Energy Analysis - Jenny Heeter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Market analysis Policy analysis Utility regulation and analysis Primary research interests Voluntary green power market Renewable energy certificate markets and pricing Solar ...

  1. 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,

  2. NREL: Energy Analysis: Geospatial Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    data sets and maps on renewable energy resources, energy infrastructure, demographics and land ownership, and the earth's physical geography (topography, land use,...

  3. NREL: Energy Analysis - Policy Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the effects that policy has on renewable energy project financing and development. ... access the financial policy page or the NREL Renewable Energy Project Finance website. ...

  4. CHP Emissions Reduction Estimator | Open Energy Information

    Open Energy Info (EERE)

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

  5. Sandia Energy - PV Modeling & Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  6. Energy savings estimates and cost benefit calculations for high performance

    Office of Scientific and Technical Information (OSTI)

    relocatable classrooms (Technical Report) | SciTech Connect Technical Report: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and

  7. 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.

  8. Cost and Schedule Estimate and Analysis (FPM 207), Amarillo | Department of

    Energy Savers [EERE]

    Energy Cost and Schedule Estimate and Analysis (FPM 207), Amarillo Cost and Schedule Estimate and Analysis (FPM 207), Amarillo April 4, 2016 8:00AM EDT to April 8, 2016 5:00PM EDT Cost and Schedule Estimation and Analysis Level 2 Required Course 5 days / 40 CLPs This course provides participants with a high-level overview of cost and schedule estimation techniques necessary for successful project management. Participants receive practical skills training on how to develop independent cost

  9. NREL: Energy Analysis - Webmaster

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. 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

  11. NREL: Energy Analysis - Carolyn Davidson

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  12. NREL: Energy Analysis - Related Links

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    analysis capabilities, energy-modeling, and technology expertise related to renewable energy. International Applications NREL's International Program in its effort to promote the...

  13. Home Energy Score: Analysis & Improvements to Date

    Energy Savers [EERE]

    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

  14. NREL: Energy Analysis: Geospatial Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  15. NREL: Energy Analysis - Daniel Getman

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  16. NREL: Energy Analysis - Transportation Energy Futures Project

    Broader source: All U.S. Department of Energy (DOE) Office 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. U.S. Uranium Reserves Estimates - Energy Information Administration

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  18. 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.``

  19. 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

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

    Office of Scientific and Technical Information (OSTI)

    relocatable classrooms (Technical Report) | SciTech Connect Technical Report: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms This report addresses the results of detailed monitoring completed under Program Element 6 of Lawrence Berkeley National Laboratory's High Performance Commercial Building

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  2. NREL: Energy Analysis - Eric Lantz

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Eric Lantz Photo of Eric Lantz Eric Lantz is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Energy Analyst 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 fiscal impacts of energy policy alternatives Social

  3. NREL: Energy Analysis - Key Activities

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Electric Sector Integration Energy-Water Nexus Life Cycle Assessment Harmonization Manufacturing Analysis Resource Assessment Models & Tools Data & Resources Publications...

  4. 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.

  5. NREL: Energy Analysis - Jordan Macknick

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jordan Macknick Photo of Jordan Macknick Jordan Macknick is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy and Environmental Analyst On staff since September 2009 Phone number: 303-275-3828 E-mail: jordan.macknick@nrel.gov Areas of expertise Renewable energy technological characterizations Database development Policy analysis Primary research interests Interface of energy and water in policy planning Environmental impacts of renewable energy

  6. NREL: Energy Analysis - Tian Tian

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Tian Tian Photo of Tian Tian Tian Tian is a member of the Market and Policy Impact Group in the Strategic Energy Analysis Center. International Energy Analyst On staff since October 2014 Phone number: 303-384-7322 E-mail: Tian.Tian@nrel.gov Areas of expertise Energy policy and market analysis International stakeholder engagement Primary research interests Renewable energy regulation Renewable energy business and financing models in various markets Energy market and policy development in China

  7. NREL: Energy Analysis - Wesley Cole

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wesley Cole Photo of Wesley Cole Wesley Cole is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Systems Modeler and Analyst On staff since 2014 Phone number: 303-275-3915 E-mail: wesley.cole@nrel.gov Areas of expertise Dynamic and steady-state modeling of energy systems Optimization and advanced control of energy systems Analysis of integrated energy systems Primary research interests Capacity expansion modeling of the electricity sector

  8. NREL: Energy Analysis - Building Technologies Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Building Technologies Analysis The Building Technologies analysis supports research and development on technologies and practices for energy efficiency, working closely with the building industry and manufacturers; promotes energy and money-saving opportunities to builders and consumers; and works with state and local regulatory groups to improve building codes and appliance standards. Building Energy Software Tools Directory Described here are 283 energy-related software tools for buildings,

  9. NREL: Energy Analysis - David Hurlbut

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Conference: A Sensitivity Analysis of a Thin Film Conductivity Estimation Method Citation Details In-Document Search Title: A Sensitivity Analysis of a Thin Film Conductivity Estimation Method 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

  11. NREL: Energy Analysis - Ahmad Mayyas

    Broader source: All U.S. Department of Energy (DOE) Office 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

  12. NREL: Energy Analysis - Cara Marcy

    Broader source: All U.S. Department of Energy (DOE) Office 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

  13. NREL: Energy Analysis - Daniel Steinberg

    Broader source: All U.S. Department of Energy (DOE) Office 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

  14. NREL: Energy Analysis - Dave Bielen

    Broader source: All U.S. Department of Energy (DOE) Office 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

  15. NREL: Energy Analysis - Ethan Warner

    Broader source: All U.S. Department of Energy (DOE) Office 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,

  16. NREL: Energy Analysis - Lori Bird

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lori Bird Photo of Lori Bird Lori Bird is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Principal Analyst On staff since early 1999 Phone number: 303-384-7412 E-mail: lori.bird@nrel.gov Areas of expertise Market analysis Policy analysis Primary research interests Renewable energy and carbon markets Renewable energy policy Interplay of emissions and renewables policies Education and background training M.E.S. in environmental management, 1997,

  17. NREL: Energy Analysis - Monisha Shah

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Monisha Shah Photo of Monisha Shah. Monisha Shah is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Energy Analyst Phone number: 202-488-2229 Email: monisha.shah@nrel.gov Areas of expertise Energy, environmental, and economic modeling and analysis Benefits analysis (environmental, economic, health) Strategic analysis, program development and management, international capacity building Primary research interests International and domestic climate change

  18. NREL: Energy Analysis - Philipp Beiter

    Broader source: All U.S. Department of Energy (DOE) Office 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

  19. NREL: Energy Analysis - Scott Jenne

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Scott 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

  20. NREL: Energy Analysis - Solar Technology Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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

  1. NREL: Energy Analysis - Partnerships

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    resources in advancing the understanding of energy efficiency and renewable energy technologies. We also co-produce publications with many of these groups. Current partnerships...

  2. NREL: Energy Analysis - Staff

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  3. NREL: Energy Analysis Home Page

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Insights Why is everyone talking about energy storage? NREL's Dave Mooney provides the answer in this Energy 101 tutorial for Stanford's Global Climate and Energy Project. Learn more: NREL Analysis Insights: Energy Storage In partnership with utilities and industry, NREL is working to effectively, reliably, and economically integrate more renewable energy into the grid. In this 3-minute video, see how NREL is redefining what's possible for renewable energy on the grid. Learn more: Renewable

  4. NREL: Energy Analysis - Geothermal Technology Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. NREL: Energy Analysis - David Mooney

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Mooney Photo of David Mooney David Mooney is the center director of the Strategic Energy Analysis Center. Center Director On staff since August 2002 Phone number: 303-384-6782 E-mail: David.Mooney@nrel.gov Analysis expertise Strategic planning Broad knowledge base in technologies and markets for energy technologies and their integration into the current energy infrastructure. Technical and operational knowledge of the photovoltaics technologies and industry Design and cost analysis of

  6. NREL: Energy Analysis - Kathleen Nawaz

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Kathleen Nawaz Photo of Kathleen Nawaz Kathleen Nawaz is a Senior Advisor for the Strategic Energy Analysis Center at the Washington D.C. Office. Senior Advisor On staff since 2001 Phone number: 202-488-2218 E-mail: kathleen.nawaz@nrel.gov Areas of expertise Global climate change and renewable energy Co-benefits/development impact analysis Low carbon transportation Primary research interests Low emissions development planning and analysis Energy and international development Education and

  7. NREL: Energy Analysis - Paul Schwabe

    Broader source: All U.S. Department of Energy (DOE) Office 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

  8. NREL: Energy Analysis - Bethany Frew

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Frew Photo of Bethany Frew Bethany Frew is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Postdoctoral Researcher - Electric System Analyst On staff since October 2014 Phone number: 303-275-3819 E-mail: Bethany.Frew@nrel.gov Areas of expertise Energy systems modeling and analysis Linear programming Primary research interests Understand and determine how to meet system needs for integrating high penetrations of renewable energy, including demand-

  9. NREL: Energy Analysis - Jessica Katz

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. NREL: Energy Analysis - Trieu Mai

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Trieu Mai Photo of Trieu Mai Trieu Mai is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Engineer On staff since 2009 Phone number: 303-384-7566 E-mail: trieu.mai@nrel.gov Areas of expertise Electric sector capacity expansion modeling High penetration renewable scenario analysis Linear programming Primary research interests Implications of large-scale deployment of renewable energy Integration of renewable technologies into the power system

  11. Analysis Tools | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Commercial Buildings » 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

  12. NREL: Energy Analysis - Mackay Miller

    Broader source: All U.S. Department of Energy (DOE) Office 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...

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

    Open Energy Info (EERE)

    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...

  14. 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.

  15. NREL: Energy Analysis - Anelia Milbrandt

    Broader source: All U.S. Department of Energy (DOE) Office 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

  16. NREL: Energy Analysis - Margaret Mann

    Broader source: All U.S. Department of Energy (DOE) Office 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

  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. NREL: Energy Analysis - Mark Ruth

    Broader source: All U.S. Department of Energy (DOE) Office 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 since 1993 (SEAC staff since 2014) Phone number: 303-384-6874 Email: mark.ruth@nrel.gov Areas of expertise Energy systems and their simulation. Biomass processing to fuels and chemicals Hydrogen production and delivery Transportation issues Primary research interests Tool development Energy systems integration (ESI) Energy

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

    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...

  1. Energy Storage Testing and Analysis High Power and High Energy...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Testing and Analysis High Power and High Energy Development Energy Storage Testing and Analysis High Power and High Energy Development 2009 DOE Hydrogen Program and Vehicle ...

  2. NREL: Energy Analysis - Nick Grue

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nick 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

  3. Cities Leading through Energy Analysis and Planning

    Broader source: 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...

  4. NREL: Energy Analysis - Aaron Levine

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. NREL: Energy Analysis - Ben Sigrin

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ben Sigrin Photo of Ben Sigrin Ben Sigrin is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Systems Modeling Engineer On staff since May 2013 Phone number: 303-275-3244 E-mail: Benjamin.Sigrin@nrel.gov Areas of expertise Financial modeling and analysis Risk and uncertainty modeling Distributed photovoltaics and consumer decision-making Primary research interests Consumer decision-making in the adoption of novel technologies Capacity

  6. NREL: Energy Analysis - Pieter Gagnon

    Broader source: All U.S. Department of Energy (DOE) Office 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

  7. Environmental Analysis | Department of Energy

    Office of Environmental Management (EM)

    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

  8. NREL: Energy Analysis - Garvin Heath

    Broader source: All U.S. Department of Energy (DOE) Office 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

  9. NREL: Energy Analysis - Katherine Young

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. NREL: Energy Analysis - Rebecca Hanes

    Broader source: All U.S. Department of Energy (DOE) Office 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

  11. NREL: Energy Analysis - Stuart Cohen

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Stuart Cohen Photo of Stuart Cohen Stuart Cohen is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Electric System Modeler On staff since September 2012 Phone number: 303-275-4369 E-mail: stuart.cohen@nrel.gov Areas of expertise Electricity system analysis Optimization and data analysis in GAMS and MATLAB Carbon capture and sequestration Primary research interests Multi-scale electricity systems modeling and optimization (e.g. ReEDS) Optimizing

  12. NREL: Energy Analysis - Jobs and Economic Competitiveness

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Policy Impacts Analysis Workforce Development Competitive Advantage Competitve ... Energy Analysis Home Capabilities & Expertise Key Activities Analysis of Project Finance ...

  13. Pulse Analysis Spectroradiometer System (PASS) Software - Energy...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis Energy Analysis Find More Like This Return to Search Pulse Analysis ... SummaryFlashing artificial light sources are used extensively in photovoltaic ...

  14. NREL: Energy Analysis - Josh Novacheck

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Josh Novacheck Photo of Josh Novacheck Josh Novacheck is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Electricity System Flexibility Analyst On staff since April 2015 Phone number: 303-275-3269 E-mail: joshua.novacheck@nrel.gov Areas of expertise Unit commitment and economic dispatch model of the power system Systems modeling and optimization Primary research interests Wind and solar energy integration into the grid Sustainable energy systems

  15. NREL: Energy Analysis - Kelly Eurek

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Kelly Eurek Photo of Kelly Eurek Kelly Eurek is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Analyst On staff since August 2010 Phone number: 303-275-4289 E-mail: kelly.eurek@nrel.gov Areas of expertise Linear programming with General Algebraic Modeling System (GAMS) Mathematical programming Primary research interests Capacity expansion and dispatch modeling of the electricity sector, e.g. the Regional Energy Deployment Systems (ReEDS)

  16. Sandia Energy Systems Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  17. Sandia Energy Modeling & Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  18. 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.

  19. 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.

  20. NREL: Energy Analysis - Daniel Inman

    Broader source: All U.S. Department of Energy (DOE) Office 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

  1. NREL: Energy Analysis - Timothy Remo

    Broader source: All U.S. Department of Energy (DOE) Office 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

  2. 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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  4. 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 worlds top two economics. Together they consumed one-third of the worlds 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.

  5. NREL: Energy Analysis - Technology Systems Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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

  6. NREL: Energy Analysis - Karlynn Cory

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  7. NREL: Energy Analysis - Andrew Weekley

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Andrew Weekley Photo of Andrew Weekley (UCAR, photo by Carlye Calvin) Andrew Weekley is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Data Scientist On staff since January 2013 Phone number: 303-275-3680 E-mail: andrew.weekley@nrel.gov Areas of expertise MATLAB Expert systems Scientific data analysis Primary research interests Time series segmentation and classification Image segmentation and classification Machine intelligent algorithms Education

  8. NREL: Energy Analysis - Chad Augustine

    Broader source: All U.S. Department of Energy (DOE) Office 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

  9. NREL: Energy Analysis - Liz Torres

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Liz Torres Photo of Liz Torres Liz Torres is administrative assisant for the Data Analysis and Visualization and Energy Forecasting and Modeling groups in the Strategic Energy Analysis Center. Administrative Assistant On staff since August 2014 Phone number: 303-275-3210 E-mail: elizabeth.torres@nrel.gov Areas of expertise Customer service Technically savvy Event planning Word processing/desktop publishing Database management Primary research interests Website design Database design

  10. NREL: Energy Analysis - Michael Woodhouse

    Broader source: All U.S. Department of Energy (DOE) Office 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

  11. NREL: Energy Analysis - Sertac Akar

    Broader source: All U.S. Department of Energy (DOE) Office 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

  12. NANA Strategic Energy Plan & Energy Options Analysis

    SciTech Connect (OSTI)

    Jay Hermanson; Brian Yanity

    2008-12-31

    NANA Strategic Energy Plan summary NRC, as an Alaska Native Corporation, has committed to addressing the energy needs for its shareholders. The project framework calls for implicit involvement of the IRA Councils in the Steering Committee. Tribal Members, from the NRC to individual communities, will be involved in development of the NANA Energy Plan. NRC, as the lead tribal entity, will serve as the project director of the proposed effort. The NRC team has communicated with various governmental and policy stakeholders via meetings and discussions, including Denali Commission, Alaska Energy Authority, and other governmental stakeholders. Work sessions have been initiated with the Alaska Village Electric Cooperative, the NW Arctic Borough, and Kotzebue Electric Association. The NRC Strategic Energy Plan (SEP) Steering committee met monthly through April and May and weekly starting in June 2008 in preparation of the energy summit that was held from July 29-31, 2008. During preparations for the energy summit and afterwards, there was follow through and development of project concepts for consideration. The NANA regional energy summit was held from July 29-31, 2008, and brought together people from all communities of the Northwest Arctic Borough. The effort was planned in conjunction with the Alaska Energy Authority’s state-wide energy planning efforts. Over $80,000 in cash contributions was collected from various donors to assist with travel from communities and to develop the summit project. Available funding resources have been identified and requirements reviewed, including the Denali Commission, U.S. Dept. of Agriculture, and the Alaska Energy Authority. A component of the overall plan will be a discussion of energy funding and financing. There are current project concepts submitted, or are ready for submittal, in the region for the following areas: • Wind-diesel in Deering, Buckland, Noorik, and Kiana areas; potential development around Red Dog mine. • 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.

  13. 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.

  14. 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-predicted to 77% over-predicted by the model with respect to monitored energy use. Many of the discrepancies were associated with occupant behavior which influences energy use, dramatically in some cases, actual versus modeled weather differences, modeling input limitations, and complex homes that are difficult to model. The discrepancy between actual and estimated energy use indicates a need for better modeling tools and assumptions. Despite the best efforts of researchers, the estimated energy savings are too inaccurate to determine reliable paybacks for retrofit projects. While the monitored data allows researchers to understand why these differences exist, it is not cost effective to monitor each home with the level of detail presented here. Therefore an appropriate balance between modeling and monitoring must be determined for more widespread application in retrofit programs and the home performance industry. Recommendations to address these deficiencies include: (1) improved tuning process for pre-retrofit energy use, which currently utilized broad-based monthly utility bills; (2) developing simple occupant-based energy models that better address the many different occupant types and their impact on energy use; (3) incorporating actual weather inputs to increase accuracy of the tuning process, which uses utility bills from specific time period; and (4) developing simple, cost-effective monitoring solutions for improved model tuning.

  15. NREL: Energy Analysis - Austin Brown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Austin Brown Photo of Austin Brown Austin Brown is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. 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 transportation systems Education and background training

  16. NREL: Energy Analysis - Newsletter Archive

    Broader source: All U.S. Department of Energy (DOE) Office 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 |

  17. NREL: Energy Analysis - Owen Zinaman

    Broader source: All U.S. Department of Energy (DOE) Office 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

  18. NREL: Energy Analysis - Venkat Kirshnan

    Broader source: All U.S. Department of Energy (DOE) Office 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

  19. 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.

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

    Open Energy Info (EERE)

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

  1. NREL: Energy Analysis - Aron Dobos

    Broader source: All U.S. Department of Energy (DOE) Office 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

  2. NREL: Energy Analysis - Thomas Jenkin

    Broader source: All U.S. Department of Energy (DOE) Office 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

  3. 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

  4. NREL: Energy Analysis - Anthony Lopez

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. NREL: Energy Analysis - David Harrison

    Broader source: All U.S. Department of Energy (DOE) Office 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

  6. NREL: Energy Analysis - Dylan Hettinger

    Broader source: All U.S. Department of Energy (DOE) Office 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 Personal interests/hobbies All kinds of climbing and cycling

  7. NREL: Energy Analysis - Meghan Mooney

    Broader source: All U.S. Department of Energy (DOE) Office 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

  8. NREL: Energy Analysis - Michael Bahl

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Bahl Photo of Michael Bahl Michael Bahl is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Senior Research Engineer On staff since December 2010 Phone number: 303-275-4464 E-mail: michael.bahl@nrel.gov Areas of expertise Software development and architecture of enterprise solutions Process improvement and guidance Scrum Master Primary research interests Analysis and management of large data sets Education and background training M.S. in computer

  9. NREL: Energy Analysis - Michael Gleason

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. NREL: Energy Analysis - Nick Langle

    Broader source: All U.S. Department of Energy (DOE) Office 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 & Usability Data Visualization & Analytics Geospatial Analysis Transportation & Alternative Fuels

  11. NREL: Energy Analysis - Yimin Zhang

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Open Energy Info (EERE)

    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...

  13. Property:Estimated End Date | Open Energy Information

    Open Energy Info (EERE)

    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...

  14. Sandia Energy - Solar Glare Hazard Analysis Tool

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  15. NREL Market Analysis | Open Energy Information

    Open Energy Info (EERE)

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

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  17. 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

  18. NREL: Energy Analysis - Dheepak Krishnamurthy

    Broader source: All U.S. Department of Energy (DOE) Office 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

  19. NREL: Energy Analysis - Melissa Hudman

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Melissa Hudman Photo of Melissa Hudman. Melissa Hudman is the lead administrative assistant for the Strategic Energy Analysis Center. Administrative Assistant On staff since July 2011 Phone number: 303-384-7985 E-mail: melissa.hudman@nrel.gov Areas of expertise Media relations Project coordination Primary research interests Renewable fuels and vehicles Residential energy efficiency Prior work experience Advertising Coordinator, Colorado Serenity Magazine (2008) Substitute Teacher, Jeffco School

  20. NREL: Energy Analysis - Nate Blair

    Broader source: All U.S. Department of Energy (DOE) Office 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

  1. 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.

  2. NREL: Energy Analysis - Alberta Carpenter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Alberta Carpenter Photo of Alberta Carpenter. Alberta Carpenter is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Life Cycle Assessment Engineer/Analyst On staff since 2004 Phone number: 303-275-4232 E-mail: alberta.carpenter@nrel.gov Areas of expertise Life cycle assessment in industrial by-product management, waste management, biofuels and manufacturing technologies Life cycle inventory database management Primary research

  3. NREL: Energy Analysis - Chris Webber

    Broader source: All U.S. Department of Energy (DOE) Office 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

  4. NREL: Energy Analysis - Heidi Pawlowski

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Heidi Pawlowski Photo of Heidi Pawlowski. Heidi Pawlowski is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Quality Assurance and Process Implementation On staff since March 2014 Phone number: 303-275-4467 E-mail: heidi.pawlowski@nrel.gov Areas of expertise Quality assurance Project management Program development Technical support and training Primary research interests Quality assurance automation Web development User interface design Process

  5. NREL: Energy Analysis - Jim Leyshon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jim Leyshon Photo of Jim Leyshon Jim Leyshon is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Web Content/Design On staff since 1995 Phone number: 303-384-7317 E-mail: jim.leyshon@nrel.gov Areas of expertise Data visualization Internet copywriting and editing Green power markets Measuring return on impact HTML, CSS, CMS Primary research interests Analytical/technical illustrations SEO and analytics Resource data Education and training Illustration

  6. NREL: Energy Analysis - Jon Duckworth

    Broader source: All U.S. Department of Energy (DOE) Office 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- & server-side JavaScript programming Interactive data visualization Education and background training M.Eng. in Civil Engineering

  7. NREL: Energy Analysis - Nick Muerdter

    Broader source: All U.S. Department of Energy (DOE) Office 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,

  8. NREL: Energy Analysis - Trish Cozart

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Trish Cozart Photo of Trish Cozart Trish Cozart is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Senior Web Project Leader On staff since April 2009 Phone number: 303-275-3682 E-mail: trish.cozart@nrel.gov Areas of expertise Web strategy Web analytics and impact metrics User interface design User experience Project management Primary research interests Web and program impact metrics Data visualizations and story mapping of historical data

  9. 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...

  10. 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.

  11. 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.

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

    Broader source: Energy.gov [DOE]

    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...

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages

    Policy and Systems Analysis Search Search form Search Office of Energy Policy and Systems Analysis Office of Energy Policy and Systems Analysis Services Initiatives Initiatives Home Accelerate Energy Productivity 2030 Climate Action Champions Climate Vulnerability Report Critical Materials Strategy eGallon Energy Investment Partnerships Energy-Water Nexus Natural Gas Infrastructure Modernization Natural Gas Modernization Clearinghouse The Quadrennial Energy Review (QER) Partnership for Energy

  14. 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 ...

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

    Broader source: 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 * ...

  16. Energy Infrastructure Modeling and Analysis (EIMA) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    (EIMA) Energy Infrastructure Modeling and Analysis (EIMA) Energy Infrastructure Modeling and Analysis (EIMA) The Energy Infrastructure Modeling and Analysis (EIMA) Division is focused on ensuring the reliability and resiliency of the U.S. electric grid through robust analytical, modeling, and assessment capabilities to address energy issues of national importance. Priorities include: Modeling and Simulation for Emergency Response and Restoration (Energy Resiliency and Risk Analysis) Significant

  17. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

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

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Alaska Energy Basics STRATEGIC ENERGY PLANNING 2015 Bethel, Dillingham and Juneau Presented by the National Renewable Energy Laboratory What is Strategic Energy Planning * Stakeholder Inclusivity * Leadership Team * A Strategic Energy Plan - Convene Stakeholders - Form Leadership Team - Develop Energy Vision - Assess Energy Needs and Resources - Develop Specific Goals - Prioritize Projects and Programs - Identify Financing Options - Compile Energy Plan - Measurement and Verification (M&V)

  20. 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.

  1. NREL: Energy Analysis - Jay Huggins

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jay Huggins Photo of Jay Huggins Jay Huggins is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Web Developer On staff since October 2011 Phone number: 303-275-4349 E-mail: jay.huggins@nrel.gov Areas of expertise OpenEI CKAN Multi-language coder (PHP, Python, JavaScript, Perl) MySQL, MongoDB, PostgreSQL, Apache, Solr, Nagios Primary research interests LAMP web development and data transformation Big Data Optimization and automation Human-powered

  2. NREL: Energy Analysis - John Krueger

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Krueger Photo of John Krueger John Krueger is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Software Engineer On staff since 2014 Phone number: 303-275-4052 E-mail: John.Krueger@nrel.gov Areas of expertise UX/UI Web development Front end data visualization Javascript Ruby Education and background training B.S. in horticulture, focusing on food crops production. Selected websites and publications U.S. DOE Integrated Deployment Office's State and

  3. NREL: Energy Analysis - Matt Rahill

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Matt Rahill Photo of Matt Rahill Matt Rahill is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Web Developer On staff since 2008 Phone number: 303-275-3633 E-mail: matt.rahill@nrel.gov Areas of expertise Web development (Ruby on Rails, JavaScript, jQuery, HTML, CSS) User interface design Writing and editing Project management Primary research interests Alternative transportation Education and background training M.A.S. in information and

  4. NREL: Energy Analysis - Parthiv Kurup

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. NREL: Energy Analysis - Catherine Burke

    Broader source: All U.S. Department of Energy (DOE) Office 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)

  6. NREL: Energy Analysis - Dani Salyer

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (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. Transportation Energy Futures Analysis Snapshot

    Broader source: 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.

  9. NREL: Energy Analysis - David J. Feldman

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 Education and

  10. 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 ...

  11. Hydrogen for Energy Storage Analysis Overview (Presentation)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for Energy Storage Analysis Overview National Hydrogen Association Conference & Expo Darlene Steward, Todd Ramsden, Kevin Harrison National Renewable Energy Laboratory May 3-6, ...

  12. Energy Infrastructure Modeling and Analysis (EIMA) | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Energy Infrastructure Modeling and Analysis (EIMA) The Energy Infrastructure Modeling and Analysis (EIMA) Division is focused on ensuring the reliability and resiliency of the U.S. electric grid through robust analytical, modeling, and assessment capabilities to address energy issues of national importance. Priorities include: Modeling and Simulation for Emergency Response and Restoration (Energy Resiliency and Risk Analysis) Significant energy events, from both natural and human-induced causes,

  13. Property:EstimatedCostLowUSD | Open Energy Information

    Open Energy Info (EERE)

    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...

  14. Property:EstimatedCostHighUSD | Open Energy Information

    Open Energy Info (EERE)

    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...

  15. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Info (EERE)

    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...

  16. 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.

  17. NREL: Energy Analysis - Jaquelin Cochran

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Areas of expertise Grid integration of renewable energy, demand response Natural gas and renewable energy International energy efficiency Energy and development Primary research ...

  18. NREL: Energy Analysis - Francisco Flores-Espino

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Francisco Flores-Espino Photo of Francisco Flores-Espino Francisco Flores-Espino is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Energy Analyst On staff since July 2013 Phone number: 303-384-7385 E-mail: Francisco.Flores@nrel.gov Areas of expertise Electric power market analysis State and federal energy policy and regulation Project-level financial analysis and modeling Primary research interests Economic impacts of renewable energy deployment

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  20. A Review of Cost Estimation in New Technologies- Implications for Energy Process Plants

    Broader source: Energy.gov [DOE]

    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 process plants.

  1. 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.

  2. NREL: Energy Analysis - Matthew O'Connell

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Energy Savers [EERE]

    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. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    Office of Environmental Management (EM)

    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

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

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the Beginning 5 * Policy drivers create motivation and context for specific energy ... lease approval turnaround time * Energy education and capacity building Key Strategic ...

  6. 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?...

  7. Estimating the Impact (Energy, Emissions and Economics) of the US Fluid

    Office of Scientific and Technical Information (OSTI)

    Power Industry (Technical Report) | SciTech Connect 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, Emissions and Economics) of the US Fluid Power Industry 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

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

    Open Energy Info (EERE)

    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...

  9. NREL: Energy Analysis - Paul Denholm

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Effects of large-scale renewable energy deployment in electric power systems The role of grid flexibility in integrating renewable energy including energy storage, demand response ...

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

    Open Energy Info (EERE)

    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...

  11. Sandia Energy - Transportation Energy Systems Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    to bring together broad stakeholders in the transportation energy community to examine critical technologies, policies, and standards and their influence on technology evolution....

  12. Systems Analysis Success Stories | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Systems Analysis Success Stories Systems Analysis Success Stories June 9, 2015 Systems Analysis Success Stories Energy Department Honored for Inroads in Geothermal Energy As renewable energy takes a stronger role in supplying the U.S. grid, geothermal power could support a more flexible role to balance the intermittent and variable capacity of wind and solar. May 14, 2015 Through funding by the Energy Department, Sandia National Laboratories have refined a useful percussive hammer tool for harsh

  13. 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.

  14. Property:EstimatedTimeMedian | Open Energy Information

    Open Energy Info (EERE)

    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 Info (EERE)

    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 Info (EERE)

    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. How to Estimate the Economic Impacts from Renewable Energy

    Broader source: 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.

  18. Category:EERE Analysis Tools | Open Energy Information

    Open Energy Info (EERE)

    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...

  19. NREL: Energy Analysis: Analysis of Project Finance

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    For details, visit NREL's Renewable Energy Project Finance website. A map showing the ... Development of projects relying on newer or innovative technologies that lack extensive ...

  20. Delivery Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Systems Analysis » Analysis Methodologies » Delivery Analysis Delivery Analysis Delivery Analysis identifies the most economic options for delivering hydrogen, and provides a foundation for additional research on alternative storage and transportation options. Additionally, delivery analysis provides crucial information to technology feasibility analysis, in determining the optimal production capacities and locations. Delivery analyses will be conducted to determine the most promising

  1. International Clean Energy Analysis | Open Energy Information

    Open Energy Info (EERE)

    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...

  2. DOE Challenge Home Savings and Cost Estimate Summary | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Savings and Cost Estimate Summary DOE Challenge Home Savings and Cost Estimate Summary The U.S. Department of Energy Challenge Home Savings and Cost Estimate Summary, November 2013. PDF icon ch_cost_savings_summary.pdf More Documents & Publications Indoor airPLUS Construction Specifications Indoor airPLUS Construction Specifications Version 1 (Rev. 02) Washington DOE ZERH

  3. NREL: Wind Research - Energy Analysis of Offshore Systems

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis of Offshore Systems Chart of cost data for actual and projected offshore wind projects as reported by developers. Enlarge image 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. Market Analysis NREL's extensive research

  4. 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.

  5. 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

  6. Energy Analysis Models, Tools and Software Technologies - Energy Innovation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Portal Analysis » Technology Marketing Summaries 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 (115) Energy Storage Geothermal Hydrogen and Fuel Cell Hydropower, Wave and Tidal Industrial Technologies Solar Photovoltaic Solar Thermal Startup America Vehicles and Fuels Wind Energy Partners (27) Visual Patent Search Success Stories

  7. 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.

  8. NREL: Energy Analysis - Galen Maclaurin

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    N. (2013). Validation of spatially allocated small area estimates for 1880 Census demography. Demographic Research, 29. Hunter, L., Nawrotzki, R., Leyk, S., Maclaurin, G.,...

  9. Policy and Analysis Publications | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    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. Year Publication Type Keyword Publications List

  10. 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 <a href="/node/1142441">View this infographic</a> to learn more about the new Cities-LEAP report. View this infographic to learn more about the new Cities-LEAP report. The Cities Leading through Energy Analysis and Planning (Cities-LEAP) project delivers standardized, localized energy data and analysis that enables cities to lead clean

  11. Assistant Administrator for Energy Analysis

    Broader source: 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...

  12. NREL: Energy Analysis - Donna Heimiller

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Cowlin, S. C.; Heimiller, D.; Bilello, D.; Renne, D. (2008). Technical Potential of Solar Energy to Address Energy Poverty and Avoid GHG Emissions in Africa. Proceedings of the ...

  13. NREL: Energy Analysis - Jennie Jorgenson

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy systems modeling with SAM Unit commitment and dispatch modeling Integrating concentrating solar power, energy storage, and demandresponse into power grid models ...

  14. NREL: Energy Analysis - Ella Zhou

    Broader source: All U.S. Department of Energy (DOE) Office 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 ...

  15. NREL: Energy Analysis - Sadie Cox

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy and development Renewable energy markets in Africa Microfinance in West African countries Ecological innovation Education and background training M.A. in global finance, ...

  16. NREL: Energy Analysis - Travis Lowder

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Primary research interests Solar securitization Renewable energy capital market finance Energy and human development Education and background training M.A. in international ...

  17. NREL: Energy Analysis - Wind Technology Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Office of Scientific and Technical Information (OSTI)

    Association (NFPA) collaborated with 31 industrial partners to collect and consolidate energy specific measurements (consumption, emissions, efficiency) of deployed fluid power...

  19. 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

  20. 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. PDF icon 6_h2a_mann.pdf 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

  1. EIS-0419: Supplement Analysis | Department of Energy

    Energy Savers [EERE]

    Supplement Analysis EIS-0419: Supplement Analysis Whistling Ridge Energy Project; Skamania County, Washington Bonneville Power Administration prepared a supplement analysis and determined that there have not been substantial changes to the proposal or significant new circumstances or information relevant to environmental concerns since the August 2011 issuance of the Final EIS for the Whistling Ridge Energy Project. For more information, see the project page: http://energy.gov/node/300313. PDF

  2. NREL: Energy Analysis - Billy J. Roberts

    Broader source: All U.S. Department of Energy (DOE) Office 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

  3. NREL: Energy Analysis - Brian W Bush

    Broader source: All U.S. Department of Energy (DOE) Office 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

  4. NREL: Energy Analysis - Caroline Sallum Uriarte

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Caroline Sallum Uriarte Photo of Caroline Sallum Uriarte Caroline Sallum Uriarte is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Project Lead On staff since April 2009 Phone number: 303-384-7388 E-mail: caroline.uriarte@nrel.gov Areas of expertise Low Emission Development Strategies - Planning and Implementation International energy analysis Renewable energy grid integration Primary research interests Climate change mitigation and adaptation

  5. Play Fairway Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Play Fairway Analysis Play Fairway Analysis Energy Department investments in adapting play fairway analysis to geothermal exploration could yield a potential 30 gigawatts of additional power from energy hidden deep in the Earth. In this poster, the University of Nevada at Reno illustrates the discovery of blind geothermal systems in the Great Basin Region, which spans 5 western states. source: James Faulds, Nevada Bureau of Mines and Geology Energy Department investments in adapting play fairway

  6. Monitoring, Reporting, & Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Services » Energy Assurance » Monitoring, Reporting, & Analysis Monitoring, Reporting, & Analysis Engaging with sector and interdependent partners, ISER identifies and helps addresses vulnerabilities in the nation's diverse energy systems and supply chains that have the potential to negatively impact the energy sector. ISER analyzes and conducts projects related to domestic and international energy infrastructure assets and systems to include supply impacts and consequences of loss.

  7. NREL: Energy Analysis - Capabilities and Expertise

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    that are used to conduct impact, sustainability, techno-economic, and geospatial anaylsis. ... Sustainability Analysis Projecting the Impacts of REEE and Conventional Energy ...

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

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  9. 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.

  10. Photovoltaics Value Analysis | Open Energy Information

    Open Energy Info (EERE)

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

  11. 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.

  12. 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.

  13. NREL: Energy Analysis - Biomass Technology Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Biomass Technology Analysis Conducting full life-cycle assessments for biomass products, including electricity, biodiesel, and ethanol, is important for determining environmental benefits. NREL analysts use a life-cycle inventory modeling package and supporting databases to conduct life-cycle assessments. These tools can be applied on a global, regional, local, or project basis. Integrated system analyses, technoeconomic analyses, life-cycle assessments (LCAs), and other analysis tools are

  14. Karuk Tribe - Energy Analysis and Conservation

    Office of Environmental Management (EM)

    Ayukii ^ First Steps Toward Developing Renewable Energy and Energy Efficiency on Tribal Lands Partnerships U.S. Department of Energy Karuk Tribe Department of Natural Resources Winzler and Kelly Occupies Aboriginal land along the middle course of the Klamath and Salmon Rivers in Northern California. Aboriginal Territory includes an estimated 1.38 million acres of rugged, heavily forested land within the Klamath River Basin. The Karuk people have continuously resided in this area since the

  15. NREL: Energy Analysis - David Keyser

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of expertise Economic impact studies Time series analysis Analysis of labor and demographic data Primary research interests Static and dynamic economic impact models Labor...

  16. Policy and Analysis Team | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Strategic Programs » Policy and Analysis Team Policy and Analysis Team The mission of Policy and Analysis is to provide a consistent, objective, and credible analysis for the Office of Energy Efficiency and Renewable Energy's (EERE's) activities and an understanding of the effect of various policies on EERE's core mission. This includes guiding investment decisions through data and scenario analyses in order to maximize their effectiveness and return on investment for the taxpayer. The Policy

  17. Procedure for estimating fracture energy from fracture surface roughness

    DOE Patents [OSTI]

    Williford, Ralph E. (Kennewick, WA)

    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.

  18. NREL: Energy Analysis: Resource Assessment

    Broader source: All U.S. Department of Energy (DOE) Office 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

  19. 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 DRAFT NEPA Guidance on Consideration of the Effects of Climate Change and Greenhouse Gas Emissions Revised Draft Guidance on

  20. Energy Literacy Video Analysis Guide | Department of Energy

    Office of Environmental Management (EM)

    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

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 National Renewable Energy Laboratory Technical Report NREL/TP-6A20-64503 July 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable

  2. 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

  3. A Sensitivity Analysis of a Thin Film Conductivity Estimation...

    Office of Scientific and Technical Information (OSTI)

    ... Language: English Subject: 36 MATERIALS SCIENCE; CONVECTION; SENSITIVITY ANALYSIS; SPECIFIC HEAT; SUBSTRATES; THERMAL CONDUCTIVITY; THERMODYNAMIC PROPERTIES; THICKNESS; THIN FILMS; ...

  4. NREL: Energy Analysis: Life Cycle Assessment Harmonization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Life Cycle Assessment Harmonization Life cycle assessment (LCA) harmonization helps lenders, utility executives, and lawmakers get the best, most precise information on greenhouse gas emissions from various sources of energy. LCA has been used to estimate and compare GHG emissions from utility-scale power systems for three decades, often with considerable variability in results. Harmonization provides more exact estimates of greenhouse-gas emissions for renewable and conventional electricity

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

    Office of Environmental Management (EM)

    Roles in Renewable Energy Projects Colton Heaps National Renewable Energy Laboratory 1 Federal Tax Incentives * Production Tax Credit (PTC) * Investment Tax Credit (ITC) * Modified Accelerated Cost Recovery System (MACRS) and bonus depreciation 2 Comparison of Tax Incentives PTC ITC Accelerated Depreciation Value Tax credit of 2.3¢/kWh or 1.1¢/kWh, depending on tech Tax credit of 10% or 30% of project costs, depending on tech Depreciation of eligible costs (not all project costs qualify)

  6. NREL: Energy Analysis - Eric O'Shaughnessy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    O'Shaughnessy Photo of Eric O'Shaughnessy Eric O'Shaughnessy is a member of the Market and Policy Impact Group in the Strategic Energy Analysis Center. Energy Analyst On staff since June 2015 Phone number: 303-275-4904 E-mail: eric.oshaughnessy@nrel.gov Areas of expertise Economic policy analysis Energy analysis Statistical methods Primary research interests Price trends in renewable markets Renewable energy policy Distributed solar PV Education and background training M.A. in public affairs,

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Resource Assessment Electric Sector Integration Jobs and Economic Competitiveness Life Cycle Assessment Harmonization Analysis of Project Finance What is the SEAC? NREL and the...

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

    Broader source: All U.S. Department of Energy (DOE) Office 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 Victor Diakov Nicholas DiOrio Aron Dobos Kelly Eurek Janine Freeman Bethany Frew Pieter Gagnon

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. Pawnee Nation - Energy Options Analysis

    Energy Savers [EERE]

    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

  11. Financial Analysis | Department of Energy

    Energy Savers [EERE]

    Financial Analysis Financial Analysis The first step in financing a street lighting retrofit is a detailed financial analysis. Because street lighting systems are designed to last ten or twenty years, or even longer, all aspects of first costs, ongoing expenses, and long-term savings are important. While a preliminary or first-level analysis can be used to determine such things as simple payback, rate of return, and cost of light, the results may neglect a number of important economic

  12. 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

  13. NREL: Energy Analysis - Aaron Townsend

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  14. Geothermal Analysis | Open Energy Information

    Open Energy Info (EERE)

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

  15. NREL: Energy Analysis - Aaron Bloom

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    A.; Townsend, A.; Hummon, M.; Weekley, A.; Clark, K.; King, J. (2013). Eastern Renewable Generation Integration Study: Initial Results (Poster). NREL (National Renewable Energy...

  16. Strategic Energy Analysis and Planning

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    oil recovery Natural gas supply and costs; CCS possibilities New research opportunities ... QER, QTR, CCS Task Force, etc.) Mission and Vision 5 National Energy Technology Laboratory ...

  17. NREL: Energy Analysis - David Palchak

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Electrical load forecasting with artificial neural networks Demand-side management optimization with Matlab Primary research interests Demand response and renewable energy ...

  18. NREL: Energy Analysis - Anna Wall

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    reporting standards Sustainable equity finance: integration of non-financial factors ... fluids Strategy of energy technology development and cross-technology transfer Financing ...

  19. NREL: Energy Analysis - Victor Diakov

    Broader source: All U.S. Department of Energy (DOE) Office 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 ...

  20. NREL: Energy Analysis - Debbie Brodt-Giles

    Broader source: All U.S. Department of Energy (DOE) Office 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

  1. NREL: Energy Analysis - Emily K. Newes

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Office of Environmental Management (EM)

    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)

  3. NREL: Energy Analysis - Ann Herlevich Brennan

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ann Herlevich Brennan Photo of Ann h. Brennan. Ann H. Brennan is the group manager of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Group Manager On staff since October 1978 Phone number: 303-275-3609 E-mail: ann.brennan@nrel.gov Areas of expertise Experienced leader and manager in sustainable energy analysis and deployment Data management, decision tools, and Web applications to enable RE/EE market Communications strategy, technical writing, and outreach

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. Chemical Free Water Analysis with Nanoelectrode Arrays - Energy...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis Energy Analysis Find More Like This Return to Search Chemical Free Water Analysis with Nanoelectrode Arrays Sandia National Laboratories Contact SNL About This ...

  6. Solar Glare Hazard Analysis Tool (SGHAT) - Energy Innovation...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Solar Thermal Solar Thermal Solar Photovoltaic Solar Photovoltaic Energy Analysis Energy Analysis Find More Like This Return to Search Solar Glare Hazard Analysis Tool (SGHAT) ...

  7. 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.

  8. Karuk Tribe - Energy Analysis and Conservation

    Office of Environmental Management (EM)

    Grant Funding Received: First Steps Toward Developing Renewable Energy and Energy Efficiency on Tribal Lands Partnership: U.S. Department of Energy Karuk Tribe of California, Department of Natural Resources Winzler and Kelly Consulting Engineers Project Title: Energy Analysis and Conservation on Karuk Trust Lands Project Team: Karuk Department of Natural Resources * Sandi Tripp * Ramona Driver * Bill Tripp * Tribal Intern (TBA) Winzler and Kelly Engineers * Bob Ulibarri - Senior Planner * David

  9. 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.

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

    SciTech Connect (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.

  11. Cuttings Analysis | Open Energy Information

    Open Energy Info (EERE)

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

  12. 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.''

  13. 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.

  14. NREL: Energy Analysis - Elaine Hale

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    O'Connell, Niamh, Elaine Hale, Ian Doebber, and Jennie Jorgenson. 2015. On the Inclusion of Energy-Shifting Demand Response in Production Cost Models: Methodology and a Case Study. ...

  15. NREL: Energy Analysis - Laura Vimmerstedt

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    TP-6A2-44688; EPA 430-R-09-024. Mosey, G.; Heimiller, D.; Dahle, D.; Vimmerstedt, L.; Brady-Sabeff, L. (2007). Converting Limbo Lands to Energy-Generating Stations: Renewable...

  16. NREL: Energy Analysis - Jeffrey Logan

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    D.; Succar, S. (2012). "Energy Storage for Power Grids and Electric Transportation: A Technology Assessment." 146 pp.; NREL Report No. TP-6A20-51252. Bird, L.; Chapman, C.;...

  17. Pawnee Nation - Energy Options Analysis

    Energy Savers [EERE]

    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.

  18. 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.

  19. 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.

  20. NREL: Energy Analysis - Colin McMillan

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Colin A. McMillan Photo of Colin A. McMillan. Colin A. McMillan is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Analyst On staff since July 2013 Phone number: 202-488-2251 Email: colin.mcmillan@nrel.gov Areas of expertise Life cycle assessment Energy efficiency Econometrics Primary research interests Systems-level energy efficiency analysis Material and energy flows in economies Education and background training Ph.D. in natural resources, University of

  1. Core Analysis | Open Energy Information

    Open Energy Info (EERE)

    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...

  2. Risk Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Risk Analysis Almost any new technology involves some risk. Risks involved in working with ... (FMEA), a risk mitigation plan, and a communication plan, is used as a criterion for the ...

  3. 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).

  4. 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 EEREs 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.

  5. 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 EEREs 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.

  6. 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.

  7. Hawaii Clean Energy Initiative Scenario Analysis

    Broader source: 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.

  8. NREL Job Task Analysis: Energy Auditor

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    DE-AC36-08GO28308 NREL Job Task Analysis: Energy Auditor Chuck Kurnik National Renewable ... constitute or imply its endorsement, recommendation, or favoring by the United States ...

  9. 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.

  10. 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

  11. NREL: Energy Analysis - Data Analysis and Visualization Staff

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Data Analysis and Visualization Group The following includes summary bios of staff expertise and interests in analysis relating to geospatial analytics and integrated resource assessment; our energy efficiency and renewable energy data warehouse; advanced visualization; and market enabling applications. Team Lead: Ann H. Brennan Administrative Support: Elizabeth Torres Jørn Aabakken Michael Bahl Debbie Brodt-Giles Trish Cozart Jon Duckworth Rob Eger Michael Gleason Pamela Gray-Hann Nick Grue

  12. CSP Systems Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Concentrating Solar Power » CSP Systems Analysis CSP Systems Analysis The SunShot Initiative funds concentrating solar power (CSP) systems research and development (R&D) within industry and national laboratories to develop and demonstrate integrated CSP systems as well as to evaluate and validate the cost, performance, and durability of concentrating solar power (CSP) technologies. DOE's research program is guided toward the areas of greatest impact based on estimates of current and future

  13. 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.

  14. Hydrogen Systems Analysis | Department of Energy

    Energy Savers [EERE]

    Clean Coal » Coal to Liquids » Hydrogen Systems Analysis Hydrogen Systems Analysis Energy analyses provide valuable information, input, and guidance into the decision-making process on important issues such as national energy security and environmental policies, research and development programs and plans, technology options, and potential technical, economic, market, and social barriers to technology deployment. The Hydrogen and Clean Coal Fuels Program, working with the NETL Office of

  15. 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.

  16. NREL: Energy Analysis - Subscribe to Newsletter

    Broader source: All U.S. Department of Energy (DOE) Office 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. Energy Systems Analysis | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    SciTech Connect (OSTI)

    None

    2008-10-01

    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.

  19. 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.

  20. NREL: Energy Analysis - Robert M. Margolis

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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 of solar technologies Solar PV engineering and fundamentals Manufacturing cost models and cost reduction roadmaps International

  2. Solar DATA ANALYSIS | Department of Energy

    Energy Savers [EERE]

    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 Initiative, the industry must innovate new ways to automate and speed processes that make it easier for consumers, businesses, utilities, solar companies, and others to access solar power. Recognizing that the perceived risk of investing in a solar energy project is much greater than the actual risk, SunShot supports market

  3. Cities Leading Through Energy Analysis and Planning Infographic |

    Office of Environmental Management (EM)

    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

  4. 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.

  5. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office 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...

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

    Open Energy Info (EERE)

    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...

  8. 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...

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

    Broader source: All U.S. Department of Energy (DOE) Office 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...

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

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  11. 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 ...

  12. Hydrogen Analysis (H2A) | Open Energy Information

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

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

  15. OpenStudio Policy Analysis Tool | Open Energy Information

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

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

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    891 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 Renewable Energy Laboratory R. Braccio, D. Lippert, P. Finch, D. O'Toole, and J. Fetter Booz Allen Hamilton National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable

  19. 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

  20. Analysis … Targeting Zero Net Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Analysis - Targeting Zero Net Energy 2014 Building Technologies Office Peer Review Scott Horowitz, scott.horowitz@nrel.gov NREL Project Summary Timeline: Start date: 2010 Planned end date: ? Key Milestones * 2010: BEopt release (v1.0) w/EnergyPlus * 2012-13: New residential models: HPWH, MSHP, GSHP, Window AC, dehumidifier, etc. * 2013: BEopt release (v2.0) w/retrofit analysis Budget: Total DOE $ to date: $2.5M (includes $600k ARRA) Total Non-DOE $ to date: $1.3M Total future DOE $: TBD Target

  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 DOEs 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. NREL: Energy Analysis - Karla LeComte

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Karla LeComte Karla LeComte is the administrative assistant for the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Administrative Assistant On staff since July 2014 Phone number: 303-384-7537 E-mail: karla.lecomte@nrel.gov Areas of expertise MS Excel/Outlook/Word Scheduling Customer Service Record Keeping Education and background training No degree earned - 18+ years' experience in business/customer service Prior work experience Administrative Assistant II, Red

  3. NREL: Energy Analysis - Samantha Bench Reese

    Broader source: All U.S. Department of Energy (DOE) Office 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

  4. CSP Systems Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Systems Analysis CSP Systems Analysis Parabolic Trough Collectors Parabolic Trough Collectors Parabolic trough collectors concentrate the sun's energy on an oil- filled tube running along the focal line of the parabolically shaped trough. Read more Linear Fresnel Reflectors Linear Fresnel Reflectors These mirrors focus sunlight to the top of the structure where molten salt is flowing. The resulting heat is stored and used when the sun is not shining. Read more Power Towers Power Towers This

  5. 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.

  6. 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.

  7. 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 81.9 trillion Btu (0.0819 Quad), which is about 0.25% of the 32.5 Quads of energy consumed during FY02 by the industrial sector in the United States. The technology area with the largest estimated savings is steam, with 32% of the total energy savings. The delivery mechanism with the largest savings is that of software systems distribution, encompassing 44% of the total savings. Training results in an energy savings of 33%. Energy savings from PWAs and PWA replications equal 10%. Sources of overestimation of energy savings might derive from (1) a possible overlap of energy savings resulting from separate events (delivery channels) occurring in conjunction with one another (e.g., a training event and CTA at the same plant), and (2) a possible issue with the use of the average CTA value to assess savings for training and software distribution. Any overestimation attributable to these sources probably is outweighed by underestimations caused by the exclusion of savings resulting from general awareness workshops, data not submitted to the ITP Tracking Database, omission of savings attributable to web downloads of publications, use of BP products by participants over multiple years, and the continued utilization of equipment installed or replaced in previous years. Next steps in improving these energy savings estimates include continuing to enhance the design of the ITP Tracking Database and to improve reporting of program activities for the distribution of products and services; obtaining more detailed information on implementation rates and savings estimates for software training, tools, and assessments; continuing attempts to quantify savings based on Qualified Specialist activities; defining a methodology for assessing savings based on web downloads of publications; establishing a protocol for evaluating savings from other BP-sponsored events and activities; and continuing to refine the estimation methodology and reduction factors.

  8. 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-waste estimation studies.

  9. Solar Energy Systems - Research - Systems Analysis - Smart Grid...

    Broader source: All U.S. Department of Energy (DOE) Office 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,...

  10. EIS-0444-SA-01: Supplement Analysis | Department of Energy

    Office of Environmental Management (EM)

    Supplement Analysis EIS-0444-SA-01: Supplement Analysis Texas Clean Energy Project (TCEP), Ector County, Texas The final supplement analysis evaluates the potential environmental...

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

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... Peter Akinjiola Psage Research, LLC 234 Village Walk Drive Macungie, PA ......... 2 Methodology Energy Bandwidth Analysis ...

  12. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    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

  13. DOE Announces Webinars on Analysis in Clean Energy Manufacturing and

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Superior Energy Performance | Department of Energy Analysis in Clean Energy Manufacturing and Superior Energy Performance DOE Announces Webinars on Analysis in Clean Energy Manufacturing and Superior Energy Performance September 3, 2015 - 2:21pm Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies, to training for the clean energy workforce. Webinars are free; however, advanced registration is

  14. 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.

  15. 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.

  16. Data Center Alternative Cooling Analysis Tool - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis Energy Analysis Building Energy Efficiency Building Energy Efficiency Find More Like This Return to Search Data Center Alternative Cooling Analysis Tool National Renewable Energy Laboratory Contact NREL About This Technology Sample Output Sample Output Sample Output Sample Output Zone Distribution Zone Distribution Technology Marketing Summary Data centers use large amounts of energy. Consistent large loads of energy are required for data center efficiency and reliability. Four

  17. 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.

  18. Elk Valley Rancheria California: Energy Efficiency and Alternative Energy Analysis

    Office of Environmental Management (EM)

    EFFICIENCY AND ALTERNATIVE ENERGY ANALYSIS THIS PROJECT HAS BEEN CONDUCTED IN COLABERATION WITH FRANK ZAINO AND ASSOCIATES ØExtremely Isolated and rugged. ØIsolation contributes to increased cost of goods and services. Elk Valley Rancheria is located in Del Norte County, California. Del Norte County is California's northernmost coastal county, located roughly halfway between Portland, Oregon (330 miles north) and San Francisco, California, (350 miles south). Elk Valley Rancheria is located

  19. Elk Valley Rancheria, California, Energy Efficiency and Alternative Energy Analysis

    Office of Environmental Management (EM)

    EFFICIENCY AND ALTERNATIVE ENERGY ANALYSIS THIS PROJECT HAS BEEN CONDUCTED IN COLABERATION WITH FRANK ZAINO AND ASSOCIATES Extremely Isolated and rugged. Isolation contributes to increased cost of goods and services. Elk Valley Rancheria is located in Del Norte County, California. Del Norte County is California's northernmost coastal county, located roughly halfway between Portland, Oregon (330 miles north) and San Francisco, California, (350 miles south). Elk Valley Rancheria is located

  20. 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.

  1. 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.

  2. Home Energy Score: Analysis & Improvements to Date | Department of Energy

    Energy Savers [EERE]

    Score: 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. PDF icon pilot_analysis_webinar7-24-12.pdf More Documents & Publications Home Energy Score: Analysis & Improvements to Date Home Energy Score Program HES Program Update and Scoring Tool v2014 Release

  3. NREL: Energy Analysis - Joyce McLaren

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Joyce McLaren Photo of Joyce McLaren Joyce McLaren is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Research Analyst On staff since February 2009 Phone number: 303-384-7362 E-mail: joyce.mclaren@nrel.gov Publications Areas of Expertise & Primary Research Interests Emerging solar-plus-storage market Impact of regulation and policy on solar adoption Distributed solar business models Utility rate structures for solar State and local technical

  4. NREL: Energy Analysis - Jørn Aabakken

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. NREL: Energy Analysis - Pamela Gray-Hann

    Broader source: All U.S. Department of Energy (DOE) Office 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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. Behavioral Economics Applied to Energy Demand Analysis: A Foundation

    Gasoline and Diesel Fuel Update (EIA)

    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. Energy Information Administration | Behavioral Economics Applied to Energy Demand Analysis 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

  12. 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

  13. Sandia Energy - Failure Mode and Effect Analysis (FMEA) Tutorial

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  14. Sandia Energy - High-Fidelity Hydrostructural Analysis of Ocean...

    Broader source: All U.S. Department of Energy (DOE) Office 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...

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

    Open Energy Info (EERE)

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

  16. Economic Analysis Case Studies of Battery Energy Storage with...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Economic Analysis Case Studies of Battery Energy Storage with SAM Nicholas DiOrio, Aron Dobos, and Steven Janzou National Renewable Energy Laboratory Technical Report NREL...

  17. 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

    Public and private funding for end-use energy efficiency actions is expected to increase significantly in the United States over the next decade. For example, Barbose et al (2009) estimate that spending on ratepayer-funded energy efficiency programs in the U.S. could increase from $3.1 billion in 2008 to $7.5 and 12.4 billion by 2020 under their medium and high scenarios. This increase in spending could yield annual electric energy savings ranging from 0.58% - 0.93% of total U.S. retail sales in 2020, up from 0.34% of retail sales in 2008. Interest in and support for energy efficiency has broadened among national and state policymakers. Prominent examples include {approx}$18 billion in new funding for energy efficiency programs (e.g., State Energy Program, Weatherization, and Energy Efficiency and Conservation Block Grants) in the 2009 American Recovery and Reinvestment Act (ARRA). Increased funding for energy efficiency should result in more benefits as well as more scrutiny of these results. As energy efficiency becomes a more prominent component of the U.S. national energy strategy and policies, assessing the effectiveness and energy saving impacts of energy efficiency programs is likely to become increasingly important for policymakers and private and public funders of efficiency actions. Thus, it is critical that evaluation, measurement, and verification (EM&V) is carried out effectively and efficiently, which implies that: (1) Effective program evaluation, measurement, and verification (EM&V) methodologies and tools are available to key stakeholders (e.g., regulatory agencies, program administrators, consumers, and evaluation consultants); and (2) Capacity (people and infrastructure resources) is available to conduct EM&V activities and report results in ways that support program improvement and provide data that reliably compares achieved results against goals and similar programs in other jurisdictions (benchmarking). The National Action Plan for Energy 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 often with multiple program administrators and in

  18. 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 ...

  19. Grid Renewable Energy-Economic and Financial Analysis | Open...

    Open Energy Info (EERE)

    and Financial Analysis Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Grid Renewable Energy-Economic and Financial Analysis AgencyCompany Organization: World Bank...

  20. Renewable Energy Economic and Financial Analysis Terms of Reference...

    Open Energy Info (EERE)

    Analysis Terms of Reference Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy Economic and Financial Analysis Terms of Reference AgencyCompany...

  1. 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.

  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. Vulnerability Analysis of Energy Delivery Control Systems (September 2011)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Systems (September 2011) Vulnerability Analysis of Energy Delivery Control Systems (September 2011) 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 recommendations for vendors and owners of those systems to identify and reduce those risks. PDF icon Vulnerability Analysis of Energy Delivery Control Systems (September 2011) More

  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. Energy System and Scenario Analysis Toolkit | Open Energy Information

    Open Energy Info (EERE)

    other technologies. Biomass Biomass Energy Data Book Buildings Buildings Energy Data Book Hydrogen Hydrogen Energy Data Book Marine and Hydrokinetic Technology Marine and...

  9. Webinar: Overview of the Clean Energy Manufacturing Analysis Center

    Broader source: 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...

  10. 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.

  11. A stochastic approach to quantifying the blur with uncertainty estimation for high-energy X-ray imaging systems

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

  12. Strategic Energy Analysis Institute to Hold Annual Meeting - News Releases

    Broader source: All U.S. Department of Energy (DOE) Office 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

  13. Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands E. Doris, A. Lopez, and D. Beckley National Renewable Energy Laboratory U.S. Department of Energy | Office of Indian Energy 1000 Independence Ave. SW, Washington DC 20585 | 202-586-1272 energy.gov/indianenergy | indianenergy@hq.doe.gov Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

  14. Analysis of Energy Efficiency Program Impacts Based on Program Spending

    Gasoline and Diesel Fuel Update (EIA)

    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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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 (115) 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

  16. 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.

  17. 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.

  18. 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.

  19. Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana (Presentation), NREL (National Renewable Energy Laboratory)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana AAPG 2012 Annual Convention and Exhibition Ariel Esposito and Chad Augustine April 24, 2012 NREL/PR-6A20-54999 2 * Geopressured Geothermal o Reservoirs characterized by pore fluids under high confining pressures and high temperatures with correspondingly large quantities of dissolved methane o Soft geopressure: Hydrostatic to 15.83 kPa/m o Hard geopressure: 15.83- 22.61 kPa/m (lithostatic

  20. Home Energy Score: Analysis & Improvements to Date | Department of Energy

    Energy Savers [EERE]

    Score: Analysis & Improvements to Date Home Energy Score: Analysis & Improvements to Date PDF icon pilot_analysis_webinar7-24-12.pdf More Documents & Publications Home Energy Score: Analysis & Improvements to Date Home Energy Score Program HES Program Update and Scoring Tool v2014 Release

  1. 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.

  2. Line Extension Analysis | Open Energy Information

    Open Energy Info (EERE)

    Coal with CCS Concentrating Solar Power Energy Storage Fuel Cells Geothermal Electric Natural Gas Nuclear Wind energy BiomassBiogas Hydroelectric energy Hydroelectric (Small)...

  3. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

    Gasoline and Diesel Fuel Update (EIA)

    currently in its second phase, the Energy Supplier Survey (ESS). Energy suppliers provide energy usage data for buildings where the building respondent could not provide their own...

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

    U.S. Energy Information Administration (EIA) Indexed Site

    Canadian Energy Demand Electricity Usage in India's Housing ... Canadian Energy Demand Release date: June 2, 2015 The ... This is the U.S. Energy Information Administration's second ...

  5. 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.

  6. Category:Core Analysis | Open Energy Information

    Open Energy Info (EERE)

    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...

  7. 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 Projects System Analysis Success Stories Economic Impact Tools National Geothermal Data System (NGDS) Initiative

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. Clean Energy Manufacturing Analysis Center Webinar

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy offers a webinar to address clean energy manufacturing on April 5. Register today!

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

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    America and Industry - 2015 Peer Review | Department of Energy Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review Presenter: Scott Horowitz, NREL View the Presentation PDF icon NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review More Documents &

  14. Winnebago Tribe - Energy Options Analysis and Organization Development - First Steps

    Energy Savers [EERE]

    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

  15. Energy and Infrastructure Analysis Group: D-4, Decision Applications: LANL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    D Energy and Infrastructure Analysis, D-4 Energy & Infrastructure Analysis Home CONTACTS Group Leader Timothy McPherson Deputy Group Leader James Doyle Group Administrator Pauline Borrego (505) 667-2266 d division logo image Energy and Infrastructure Analysis Group Our mission is to perform basic and applied research focused on increasing the security of the nation's energy infrastructure. We specialize in the development and use of macromodels and microsimulations. These provide detailed,

  16. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. 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

  17. 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.

  18. NREL: Energy Analysis - The Energy DataBus

    Broader source: All U.S. Department of Energy (DOE) Office 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)....

  19. 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.

  20. NREL Launches Strategic Energy Analysis Institute - News Releases | NREL

    Broader source: All U.S. Department of Energy (DOE) Office 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

  1. Integrated Energy Analysis and Validation Environment | Department of

    Energy Savers [EERE]

    Energy 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 sophisticated methods

  2. Play Fairway Analysis Poster Session | Department of Energy

    Energy Savers [EERE]

    Play Fairway Analysis Poster Session Play Fairway Analysis Poster Session Play fairway analysis, a technique adapted from oil & gas exploration, will help geothermal energy experts to target the best spots for geothermal drilling by reducing uncertainties. Energy Department investments in this novel technique stretch the conventional limits of geothermal energy exploration, from the hotter western states to new regions where low-temperature resources could be tapped. Play fairway analysis, a

  3. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) State fact sheets on household energy use RECS 2009 - Release date: August 13, 2013 (Correction) The RECS gathers information through personal interviews with a nationwide sample of homes and energy suppliers. The 2009 survey was the largest RECS to date and the larger sample size allowed for the release of data for 16 individual states, in addition to national, regional, and division-level estimates. See a closer look at residential energy

  4. 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).

  5. 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

  6. Threat Analysis Framework | Department of Energy

    Office of Environmental Management (EM)

    Threat Analysis Framework Threat Analysis Framework The need to protect national critical infrastructure has led to the development of a threat analysis framework. The threat ...

  7. EA-1975: Supplement Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    5: Supplement Analysis EA-1975: Supplement Analysis LINAC Coherent Light Source-Il, SLAC National Accelerator Laboratory, Menlo Park, California This document provides an analysis...

  8. Community Energy: Analysis of Hydrogen Distributed Energy Systems with Photovoltaics for Load Leveling and Vehicle Refueling

    Broader source: All U.S. Department of Energy (DOE) Office 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. Zuboy Contractor Technical Report NREL/TP-6A20-62781 October 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at

  9. 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.

  10. NREL: Energy Analysis - Energy Data for Decision Makers

    Broader source: All U.S. Department of Energy (DOE) Office 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

  11. Quarterly Analysis Review February 2015 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Quarterly Analysis Review February 2015 Quarterly Analysis Review February 2015 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 global markets as well as other analytical studies. The QAR comprises an hour-long glimpse at the transportation energy ecosystem within which VTO operates. VTO Analysis staff members present and distribute the QAR to stakeholders each

  12. Quarterly Analysis Review February 2015 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Quarterly Analysis Review February 2015 Quarterly Analysis Review February 2015 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 global markets as well as other analytical studies. The QAR comprises an hour-long glimpse at the transportation energy ecosystem within which VTO operates. VTO Analysis staff members present and distribute the QAR to stakeholders each

  13. SDSS/SEGUE spectral feature analysis for stellar atmospheric parameter estimation

    SciTech Connect (OSTI)

    Li, Xiangru; Lu, Yu; Yang, Tan; Wang, Yongjun; Wu, Q. M. Jonathan; Luo, Ali; Zhao, Yongheng; Zuo, Fang

    2014-08-01

    Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra and make it feasible to statistically investigate latent principles in a large data set. We present a technique for estimating parameters T{sub eff}, log g, and [Fe/H] from stellar spectra. With this technique, we first extract features from stellar spectra using the LASSO algorithm; then, the parameters are estimated from the extracted features using the support vector regression. On a subsample of 20,000 stellar spectra from the Sloan Digital Sky Survey (SDSS) with reference parameters provided by the SDSS/SEGUE Spectroscopic Parameter Pipeline, estimation consistency are 0.007458 dex for log T{sub eff} (101.609921 K for T{sub eff}), 0.189557 dex for log g, and 0.182060 for [Fe/H], where the consistency is evaluated by mean absolute error. Prominent characteristics of the proposed scheme are sparseness, locality, and physical interpretability. In this work, each spectrum consists of 3821 fluxes, and 10, 19, and 14 typical wavelength positions are detected, respectively, for estimating T{sub eff}, log g, and [Fe/H]. It is shown that the positions are related to typical lines of stellar spectra. This characteristic is important in investigating physical indications from analysis results. Then, stellar spectra can be described by the individual fluxes on the detected positions (PD) or local integration of fluxes near them (LI). The aforementioned consistency is the result based on features described by LI. If features are described by PD, consistency is 0.009092 dex for log T{sub eff} (124.545075 K for T{sub eff}), 0.198928 dex for log g, and 0.206814 dex for [Fe/H].

  14. 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 study provided a statistically rigorous approach to incorporating the variability of expected savings across the households in the sample together with the uncertainty inherent in the regression models used to estimate those savings. While the impact of the regression errors was found to be relatively small in these particular samples, this approach may be useful in future studies using individual household billing data. The median percentage savings for the largest sample of 6,000 households in the analysis was 32%, while the mean savings was 28%. Because the number of households in the sample is very large, the standard error associated with the mean percentage savings are very small, less than 1%. A conservative statement of the average savings is that is falls in the range of 25% to 30% with a high level of certainty. This preliminary analysis provides robust estimates of average program savings, but offers no insight into how savings may vary by type of conservation measure or whether savings vary by the amount of cooling electricity used prior to undertaking the measure. Follow-up researchers may want to analyze the impacts of specific ECMs. Households that use electricity for heating might also be separately analyzed. In potential future work several methodological improvements could also be explored. As mentioned in Section 2, there was no formal attempt to clean the data set of outliers and other abnormal patterns of billing data prior to the statistical analysis. The restriction of a constant reference temperature might also be relaxed. This approach may provide evidence as to whether any 'take-back' efforts are present, whereby thermostat settings are lowered during the summer months after the measures are undertaken (reflected in lower reference temperatures in the post-ECM period). A more extended analysis may also justify the investment in and use of the PRISM software package, which may provide more diagnostic measures with respect to the reference temperature. PRISM also appears to contain some built-in capability to detect outliers and other an

  15. SWERA/Analysis Tools | Open Energy Information

    Open Energy Info (EERE)

    and energy resource availability. HOMER simulates both conventional and renewable energy technologies and finds the least cost combination of components that meets electrical...

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

    U.S. Energy Information Administration (EIA) Indexed Site

    Canadian Energy Demand June 2015 Independent Statistics & ... DC 20585 U.S. Energy Information Administration | Issues ... change in household electricity consumption between 1990 ...

  17. 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

    Many opportunities exist for large-scale energy conservation projects in housing: military housing, federally-subsidized low-income housing, and planned communities (condominiums, townhomes, senior centers) to name a few. 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. More accurate prior estimates reduce project risk, decrease financing costs, and help avoid post-construction legal disputes over performance contract baseline adjustments. The proposed approach to prior estimates is verified against data from Fort Polk, LA. In the course of evaluating the ESPC at Fort Polk, Louisiana, we have collected energy use data - both at the electrical feeder level and at the level of individual residences - which allowed us to develop calibrated engineering models which accurately predict pre-retrofit energy consumption. We believe that such calibrated models could be used to provide much more accurate estimates of energy savings in retrofit projects, particularly in cases where the energy consumption of large populations of housing can be captured on one or a few meters. 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 feeder serves 46 buildings containing a total of 200 individual apartments. Of the 46 buildings, there are three unique types, and among these types the only difference is compass orientation. 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 (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 16 separate electrical feeders) to be about 32%. It should be noted that the retrofits ca

  18. Analysis Activities at Fossil Energy/ National Energy Technology Laboratory

    Broader source: Energy.gov [DOE]

    Presentation on NETL’s analysis activities to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004.

  19. 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?

  20. U.S. Virgin Islands Energy Road Map: Analysis

    Broader source: All U.S. Department of Energy (DOE) Office 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, ...

  1. 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.

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

    Open Energy Info (EERE)

    Focus Area: Biomass, - Biomass Combustion, - Biomass Gasification, Buildings, Energy Efficiency, - Central Plant, Geothermal, Greenhouse Gas, Ground Source Heat Pumps, Hydrogen,...

  3. Nuclear Energy Institute (NEI) Attachment, Integrated Safety Analysis |

    Energy Savers [EERE]

    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

  4. Building Energy Optimization Analysis Method (BEopt) - Building America Top

    Energy Savers [EERE]

    Innovation | Department of Energy Energy Optimization Analysis Method (BEopt) - Building America Top Innovation Building Energy Optimization Analysis Method (BEopt) - Building America Top Innovation House graphic from BEopt software. To achieve Building America's ambitious energy-efficiency goals, it becomes increasingly important that researchers can identify the most cost-effective, high-performance improvements. This Top Innovation profile describes BEopt, which has proven to be an

  5. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of U.S. estimated distributed and utility-scale solar capacity and generation, as explained in the article text EIA electricity data now include estimated small-scale solar PV capacity and generation December 2, 2015 U.S. energy-related CO2 emissions up 1% in 2014 as buildings, transport energy use rises November 24, 2015 Natural gas use features two seasonal peaks

  6. Hawaii - Seds - U.S. Energy Information Administration (EIA)

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  7. Pennsylvania - Seds - U.S. Energy Information Administration...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  8. California - Seds - U.S. Energy Information Administration (EIA...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  9. Florida - Seds - U.S. Energy Information Administration (EIA...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  10. Nebraska - Seds - U.S. Energy Information Administration (EIA...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  11. New Mexico - Seds - U.S. Energy Information Administration (EIA...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  12. Arizona - Seds - U.S. Energy Information Administration (EIA...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  13. Texas - Seds - U.S. Energy Information Administration (EIA)

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  14. Idaho - Seds - U.S. Energy Information Administration (EIA)

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  15. Delaware - Seds - U.S. Energy Information Administration (EIA...

    U.S. Energy Information Administration (EIA) Indexed Site

    ... International Energy Outlook Excel Data Add-In Geography U.S. States ... Environment Energy estimates (SEDS) 1960-2013 estimates 2014 updates Analysis Rankings ...

  16. 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 system leads to higher thermal-to-electric conversion efficiency. However, in a CSP system, higher operating temperature also leads to greater thermal losses. These two effects combine to give an optimal system-level operating temperature that may be less than the upper operating temperature limit of system components. The overall efficiency may be improved by developing materials, power cycles, and system-integration strategies that enable operation at elevated temperature while limiting thermal losses. This is particularly true for the TES system and its components. Meeting the SunShot cost target will require cost and performance improvements in all systems and components within a CSP plant. Solar collector field hardware will need to decrease significantly in cost with no loss in performance and possibly with performance improvements. As higher temperatures are considered for the power block, new working fluids, heat-transfer fluids (HTFs), and storage fluids will all need to be identified to meet these new operating conditions. Figure 1 shows thermodynamic conversion efficiency as a function of temperature for the ideal Carnot cycle and 75% Carnot, which is considered to be the practical efficiency attainable by current power cycles. Current conversion efficiencies for the parabolic trough steam cycle, power tower steam cycle, parabolic dish/Stirling, Ericsson, and air-Brayton/steam Rankine combined cycles are shown at their corresponding operating temperatures. Efficiencies for supercritical steam and carbon dioxide (CO{sub 2}) are also shown for their operating temperature ranges.

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

    Energy Savers [EERE]

    Energy 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: Analysis and Improvements to Date," originally presented on July 24, 2012. In addition to this text version of the audio, you can access the presentation slides and a recording of the webinar. Slide 2: To date based on the pilot findings, tell you a little bit about the analysis that we did over the

  18. Community Economic Analysis: A How To Guide | Open Energy Information

    Open Energy Info (EERE)

    Name: Community Economic Analysis: A How To Guide AgencyCompany Organization: Ronald J. Hustedde Partner: Ron Shaffer Sector: Energy Focus Area: Economic Development Phase:...

  19. Office of Energy Policy and Systems Analysis Site Upgrade

    Broader source: Energy.gov [DOE]

    Office of Energy Policy and Systems Analysis site is currently being upgraded to better serve on audience. Please check back shortly.

  20. Analysis of the Clean Energy Standard Act of 2012

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    ... Administration | Analysis of the Clean Energy Standard Act of 2012 11 customer of a ... excluding exempt retailers and excluded nuclear and conventional hydropower sales. ...

  1. Energy Use Loss and Opportunities Analysis: U.S. Manufacturing...

    Broader source: Energy.gov (indexed) [DOE]

    energyuselossopportunitiesanalysis.pdf More Documents & Publications U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis Bandwidth Study U.S. Chemical...

  2. Geothermal Play Fairway Analysis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Play Fairway Analysis Geothermal Play Fairway Analysis PDF icon pfw-webinar.pdf More Documents & Publications Geothermal Play Fairway Analysis LOW TEMPERATURE GEOTHERMAL MINERAL RECOVERY PROGRAM 02/11/2014 LOW TEMPERATURE GEOTHERMAL MINERAL RECOVERY PROGRAM

  3. Geothermal Play Fairway Analysis | Department of Energy

    Office of Environmental Management (EM)

    Analysis Geothermal Play Fairway Analysis File pfw-webinar.pptx More Documents & Publications Geothermal Play Fairway Analysis LOW TEMPERATURE GEOTHERMAL MINERAL RECOVERY PROGRAM 02/11/2014 LOW TEMPERATURE GEOTHERMAL MINERAL RECOVERY PROGRAM

  4. Summary and Presentations from “Estimating the Benefits and Costs of Distributed Energy Technologies” Workshop Now Available

    Broader source: Energy.gov [DOE]

    Beginning on September 30, 2014, the Department of Energy hosted a two-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies” in Washington DC. The purpose of the workshop was to foster discussion about the analytic challenges associated with valuing the diverse impacts of deploying distributed energy technologies. Many valuation studies have been published in recent years, using different methods and assumptions.

  5. Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models

    SciTech Connect (OSTI)

    S. A. Eide; D. M. Rasmuson; C. L. Atwood

    2008-09-01

    The U.S. Nuclear Regulatory Commission maintains a set of risk models covering the U.S. commercial nuclear power plants. These standardized plant analysis risk (SPAR) models include several loss-of-coolant accident (LOCA) initiating events such as small (SLOCA), medium (MLOCA), and large (LLOCA). All of these events involve a loss of coolant inventory from the reactor coolant system. In order to maintain a level of consistency across these models, initiating event frequencies generally are based on plant-type average performance, where the plant types are boiling water reactors and pressurized water reactors. For certain risk analyses, these plant-type initiating event frequencies may be replaced by plant-specific estimates. Frequencies for SPAR LOCA initiating events previously were based on results presented in NUREG/CR-5750, but the newest models use results documented in NUREG/CR-6928. The estimates in NUREG/CR-6928 are based on historical data from the initiating events database for pressurized water reactor SLOCA or an interpretation of results presented in the draft version of NUREG-1829. The information in NUREG-1829 can be used several ways, resulting in different estimates for the various LOCA frequencies. Various ways NUREG-1829 information can be used to estimate LOCA frequencies were investigated and this paper presents two methods for the SPAR model standard inputs, which differ from the method used in NUREG/CR-6928. In addition, results obtained from NUREG-1829 are compared with actual operating experience as contained in the initiating events database.

  6. Isotopic Analysis (Lewicki & Oldenburg) | Open Energy Information

    Open Energy Info (EERE)

    Analysis- Fluid Activity Date Usefulness useful DOE-funding Unknown References Jennifer L. Lewicki, Curtis M. Oldenburg (Unknown) Near-Surface Co2 Monitoring And Analysis To...

  7. Compound and Elemental Analysis | Open Energy Information

    Open Energy Info (EERE)

    gases usually include: carbon dioxide (CO2) hydrogen sulfide (H2S) ammonia (NH4) methane (CH4) Related Techniques Lab Analysis Techniques Fluid Lab Analysis Compound and...

  8. Analysis Activities at National Renewable Energy Laboratory

    Broader source: Energy.gov [DOE]

    Presentation on NREL’s analysis activities to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004.

  9. Realizing a Clean Energy Future: Highlights of NREL Analysis (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2013-12-01

    Profound energy system transformation is underway. In Hawaiian mythology, Maui set out to lasso the sun in order to capture its energy. He succeeded. That may have been the most dramatic leap forward in clean energy systems that the world has known. Until now. Today, another profound transformation is underway. A combination of forces is taking us from a carbon-centric, inefficient energy system to one that draws from diverse energy sources - including the sun. NREL analysis is helping guide energy systems policy and investment decisions through this transformation. This brochure highlights NREL analysis accomplishments in the context of four thematic storylines.

  10. NREL: Hydrogen and Fuel Cells Research - Energy Analysis and Tools

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis and Tools NREL offers energy analysis tools, models, and other resources for researchers, developers, investors, and others interested in the viability, analysis, and development of hydrogen and fuel cell technologies and systems. Learn about NREL's hydrogen and fuel cell system analysis projects. ADOPT: Automotive Deployment Options Projection Tool Modeling tool that predicts consumer demand for different vehicle types based on income distribution and other demographic

  11. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS

    Gasoline and Diesel Fuel Update (EIA)

    11, 2016 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JIM TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: TRANSPORTATION CONSUMPTION AND EFFICIENCY ANALYSIS TEAM SUBJECT: Second AEO2016 Transportation Working Group Meeting Summary (presented on 03-09-2016) Attendees: Mindi Farber-DeAnda (EIA) David Stone (EIA) Alicia Birky (Energetics) Austin Brown (NREL) David Gohlk (DOE) Marc Goodman (New

  12. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS

    Gasoline and Diesel Fuel Update (EIA)

    1, 2015 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JIM TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: TRANSPORTATION CONSUMPTION AND EFFICIENCY ANALYSIS TEAM SUBJECT: First AEO2016 Transportation Working Group Meeting Summary (presented on 12-15-2015) Attendees: David Daniels (EIA) Alicia Birky (Energetics) Elke Hodson (DOE) Ken Katz (DOT) Marc Goodman (New West Technologies) Michael

  13. Analysis, Data Systems, and Education | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Analysis, Data Systems, and Education Analysis, Data Systems, and Education Below are the project presentations and respective peer review results for Analysis, Data Systems, and Education. Geothermal Resources and Transmission Planning, David Hurlbut, National Renewable Energy Laboratory Economic Impact Analysis for EGS, Dr. Raymond Levey and Varun Gowda, Energy & Geoscience Institute, University of Utah National Geothermal Data System Architecture Design, Testing and Maintenance, Walter S.

  14. Microsoft PowerPoint - 15.1615_Cost Estimating Panel | Department of Energy

    Office of Environmental Management (EM)

    615_Cost Estimating Panel Microsoft PowerPoint - 15.1615_Cost Estimating Panel PDF icon Microsoft PowerPoint - 15.1615_Cost Estimating Panel More Documents & Publications Contractor SOW Template - ICR Slide 1 Independent Cost Review (ICR) and Independent Cost Estimate (ICE) Standard Operating Procedures, Revision 2

  15. NREL: Energy Analysis - Nicholas DiOrio

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    United States Marine Corps 2004-2008 Selected publications Pratt,J., Axelrad, P., Larson, K., Lesage,B., Gerren, R., DiOrio, N. Satellite Clock Bias Estimation for iGPS, GPS...

  16. Isotopic Analysis- Rock | Open Energy Information

    Open Energy Info (EERE)

    and Acquisition Photo of the plasma sampler from an ICP-MS system used by the Atomic Energy and Alternative Energies Commission (CEA), France. Photo from the CEA Website, last...

  17. Isotopic Analysis- Fluid | Open Energy Information

    Open Energy Info (EERE)

    and Acquisition Photo of the plasma sampler from an ICP-MS system used by the Atomic Energy and Alternative Energies Commission (CEA), France. Photo from the CEA Website, last...

  18. Analysis Insights: Energy Storage - Possibilities for Expanding...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... energy basis without the need for energy storage * Up to 35% variable generation with the introduction of lower-cost flexibility options such as greater use of demand response. ...

  19. Issues in International Energy Consumption Analysis: Canadian Energy Demand

    Reports and Publications (EIA)

    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.

  20. RETScreen International Clean Energy Project Analysis Tool |...

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentretscreen-international-clean-energy- Language: String representation "English,Arabic, ... Urdu,Vietnamese" is too long. Policies:...