National Library of Energy BETA

Sample records for idm estimates energy

  1. IDM UID

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

    ITER_D_R8752R v.1.1 IDM UID D_R8752R v.1.1 Technical Specifications: Supply of Elastomer sealed Ultra High Vacuum Valves for the ITER Project. ITER_D_R8752R v.1.1 1 Technical Specifications: Supply of Elastomer sealed Ultra High Vacuum Valves for the ITER Project. Contents 1 Document Scope ............................................................................................................................. 3 2 Terms and Acronyms

  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. 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...

  4. 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.

  5. 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...

  6. Assumptions to the Annual Energy Outlook 2015

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

    47 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy-intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing

  7. 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.

  8. 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.

  9. 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.

  10. “Nodal Gap” induced by the incommensurate diagonal spin density modulation in underdoped high- id='M1'>Tc superconductors

    SciTech Connect (OSTI)

    Zhou, Tao; Gao, Yi; Zhu, Jian -Xin

    2015-03-07

    Recently it was revealed that the whole Fermi surface is fully gapped for several families of underdoped cuprates. The existence of the finite energy gap along the id='M2'>d-wave nodal lines (nodal gap) contrasts the common understanding of the id='M3'>d-wave pairing symmetry, which challenges the present theories for the high-id='M4'>Tcsuperconductors. Here we propose that the incommensurate diagonal spin-density-wave order can account for the above experimental observation. The Fermi surface and the local density of states are also studied. Our results are in good agreement with many important experiments in high-id='M5'>Tcsuperconductors.

  11. 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.

  12. 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

  13. 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.

  14. 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.

  15. 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...

  16. 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.

  17. DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM

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

    Mechanical and structural analysis for Diagnostic components_Technical Specifications The work involves technical expertise in the design of the equipment required to physically support the diagnostics in ITER, such as port plugs, diagnostic rack, DFWs, DSMs and similar structures, and in some cases the diagnostics themselves. IDM UID SVL4ST VERSION CREATED ON / VERSION / STATUS 07 Apr 2016 / 2.0 / Approved EXTERNAL REFERENCE / VERSION ITER_D_SVL4ST Page 1 of 6 Table of Contents 1 PURPOSE

  18. DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM

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

    25 Feb 2016 DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM Technical Specifications (In-Cash Procurement) FWK Contract - Support for safety and accident analyses The purpose of this contract is to provide support to the Plant Engineering Department in the area of safety analyses and accident analyses. Technical expertise from a specialist supplier in these analyses including radiation protection, confinement, internal and external risks, etc, will provide

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

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

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

  20. 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.

  1. 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 -...

  2. DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM

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

    Integration of microwave and soft x-ray diagnostic_Technical Specifications The work involves technical expertise in the design of the integration solutions required to support the design of microwave and soft x-ray diagnostics and their integration within ITER infrastructures, like port plugs and buildings. Several mm-wave systems, such as LFS-R, HFS-R, PPR, as well as Radial X-Ray camera, are scheduled to be installed and/ or operational for the first plasma campaign. IDM UID SVLY2L VERSION

  3. DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM

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

    11 Mar 2016 DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM Memorandum / Note Summary of Technical specification Implementation and Support of PDM/PLM Solutions Technical specification Implementation and Support of PDM/PLM Solutions Approval Process Name Action Affiliation Author Delaplagne J.- D. 11 Mar 2016:signed IO/DG/COO/CIO/IT Co-Authors Chaumette C. Decanis C. Guillaud O. 10 Mar 2016:signed 10 Mar 2016:signed 10 Mar 2016:signed IO/DG/COO/CIO/IT

  4. Intelligent Data Management (IDM) for a Content-Based Image Retrieval System

    Energy Science and Technology Software Center (OSTI)

    2002-10-08

    With the availability of low-cost, high-performance computers, memory, and disk storage media, image libraries and content-based image retrieval (CBIR) technologies are becoming more prevalent. CBIR refers to technologies and systems that index large digital image libraries using image content derived from visual characteristics of the image such as color, texture and structure. Although large repositories can be readily assembled, the efficiency of these systems to retrieve the most relevant imagery is still a function ofmore » capacity and long-term storage. Due to the rapid growth in the size of image libraries and the high potential for data redundancy, the Intelligent Data Management (IDM) method has been developed to achieve a reduction in redundancy (IDM) method has been developed to achieve a reduction in redundancy that facilities either: (1) the long-term storage of the most information-rich image content (i.e., maintaining the same DB capacity but keeping data for a longer period of time), or (2) a reduction in the size of the repository capacity which results in improved performance (i.e., storage and retrieval efficiency) and reduced time for indexing.« less

  5. 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 ...

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

    Office of Environmental Management (EM)

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

  7. 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...

  8. Estimating the Benefits and Costs of Distributed Energy Technologies

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

    Workshop - Agenda and Summary | Department of Energy 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

  9. 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...

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

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

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

  11. 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...

  12. 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.

  13. 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:...

  14. Energy Savings Estimates of Light Emitting Diodes

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

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

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

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

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

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

  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. 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.

  20. 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...

  1. 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.

  2. 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.

  3. 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...

  4. 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...

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

    Office of Environmental Management (EM)

    ... * Tribal electricity and energy usage * Land Ownership Oklahoma Energy ... - http:energy.govindianenergyresourcesenergy-resource-library DOE Tribal Energy Program - ...

  6. GAO Cost Estimating and Assessment Guide | Department of Energy

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

    Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide: Twelve Steps of a High-Quality Cost Estimating Process, from the first step of defining the estimate's purpose to the last step of updating the estimate to reflect actual costs and changes. PDF icon Twelve Steps of a High-Quality Cost Estimating Process Key Resources PMCDP EVMS PARS IIe FPD Resource Center PM Newsletter Forms and Templates More Documents & Publications

  7. 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...

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

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

    3 Primary Energy Consumption Estimates by Source, 1949-2011 (Quadrillion Btu) Year Fossil Fuels Nuclear Electric Power Renewable Energy 1 Electricity Net Imports 3 Total Coal Coal ...

  9. 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...

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

    Energy Savers [EERE]

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

  11. 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 * ...

  12. Request for Retirement Annuity Estimates | Department of Energy

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

    Request for Retirement Annuity Estimates Request for Retirement Annuity Estimates Upon request, Office of the Chief Human Capital Officer provides retirement estimates for Headquarters employees. Retirement estimates are processed on a first-come first-served basis. Also, taken into consideration is the proposed retirement date. The Request for Retirement Annuity Estimate form must be completed and submitted to the appropriate specialists. Retirement estimates are completed within 30 days of

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

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

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

  14. 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...

  15. 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...

  16. 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...

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

    Energy Savers [EERE]

    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

  18. 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?...

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

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

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

  20. 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

  1. 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...

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

    Office of Scientific and Technical Information (OSTI)

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

  3. 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.

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Office of Scientific and Technical Information (OSTI)

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

  7. 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...

  8. 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...

  9. 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...

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

    Office of Scientific and Technical Information (OSTI)

    Oak Ridge National Laboratory and the National Fluid Power Association (NFPA) collaborated with 31 industrial partners to collect and consolidate energy specific measurements ...

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

    Energy Savers [EERE]

    Financing Colton Heaps National Renewable Energy Laboratory 1 2 1 Potential 3 Refinement 5 Operations & Maintenance 2 Options 4 Implementation 3 Refinement Potential Options ...

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

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

    Energy Lab (NREL) Avoided Transmission & Distribution: Steven Fine, ICF International Social Costs & Benefits: Anne Hoskins, Maryland Public Service Commission PDF icon ...

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

    Office of Scientific and Technical Information (OSTI)

    exceeded 226B. As large as the industry is, it has had little fundamental research that could lead to improved efficiency since the late 1960s (prior to the 1970 energy crisis). ...

  14. Procedure for estimating fracture energy from fracture surface roughness

    DOE Patents [OSTI]

    Williford, Ralph E.

    1989-01-01

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

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

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

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

  16. 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

  17. 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

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

    Energy Savers [EERE]

    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)

  19. 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

  20. 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.

  1. 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.''

  2. 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.

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

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

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    2014-06-12

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

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

    SciTech Connect (OSTI)

    None, None

    2002-09-01

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

  5. 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.

  6. 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.

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

    Energy Savers [EERE]

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

  8. 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.

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

    SciTech Connect (OSTI)

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

    2008-03-01

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

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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

  18. 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.

  19. 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.

  20. 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.

  1. 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

  2. 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.

  3. Table 1.6 State-Level Energy Consumption, Expenditure, and Price Estimates, 2010

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

    6 State-Level Energy Consumption, Expenditure, and Price Estimates, 2010 Rank Consumption Consumption per Capita Expenditures 1 Expenditures 1 per Capita Prices 1 Trillion Btu Million Btu Million Dollars 2 Dollars 2 Dollars 2 per Million Btu 1 Texas 11,769.9 Wyoming 948.1 Texas 137,532 Alaska 8,807 Hawaii 30.75 2 California 7,825.7 Alaska 898.5 California 117,003 Louisiana 8,661 District of Columbia 26.19 3 Florida 4,381.9 Louisiana 894.4 New York 61,619 Wyoming 7,904 Connecticut 25.63 4

  4. 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.

  5. 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.

  6. 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.

  7. Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.

    2012-09-01

    Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.

  8. 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.

  9. Developing a Cost Model and Methodology to Estimate Capital Costs for Thermal Energy Storage

    SciTech Connect (OSTI)

    Glatzmaier, G.

    2011-12-01

    This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation 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.

  10. 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.

  11. A simplified model for estimating population-scale energy impacts of building envelope air-tightening and mechanical ventilation retrofits

    SciTech Connect (OSTI)

    Logue, Jennifer M.; Turner, William J. N.; Walker, Iain S.; Singer, Brett C.

    2015-01-19

    Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector's energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level. The Incremental Ventilation Energy (IVE) model developed in this study combines the output of simple air exchange models with a limited set of housing characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modellers to use existing databases of housing characteristics to determine the impact of ventilation policy change on a population scale. The IVE model estimates of energy change when applied to US homes with limited parameterisation are shown to be comparable to the estimates of a well-validated, complex residential energy model.

  12. Geopressured Geothermal Resource and Recoverable Energy Estimate for the Wilcox and Frio Formations, Texas (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2011-10-01

    An estimate of the total and recoverable geopressured geothermal resource of the fairways in the Wilcox and Frio formations is made using the current data available. The flow rate of water and methane for wells located in the geopressured geothermal fairways is simulated over a 20-year period utilizing the TOUGH2 Reservoir Simulator and research data. The model incorporates relative permeability, capillary pressure, rock compressibility, and leakage from the bounding shale layers. The simulations show that permeability, porosity, pressure, sandstone thickness, well spacing, and gas saturation in the sandstone have a significant impact on the percent of energy recovered. The results also predict lower average well production flow rates and a significantly higher production of natural gas relative to water than in previous studies done from 1975 to 1980. Previous studies underestimate the amount of methane produced with hot brine. Based on the work completed in this study, multiphase flow processes and reservoir boundary conditions greatly influence the total quantity of the fluid produced as well as the ratio of gas and water in the produced fluid.

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

    SciTech Connect (OSTI)

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

    2012-01-01

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

  14. Algorithm for Accounting for the Interactions of Multiple Renewable Energy Technologies in Estimation of Annual Performance

    Energy Science and Technology Software Center (OSTI)

    2007-12-31

    The algorithm accounts for interactions between technologies in determining the annual energy performance of multiple renewable energy technologies at a subject site.

  15. 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).

  16. 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.

  17. Estimated Maintenance Cost Savings from a Geothermal Heat Pump Energy Savings Performance Contract at Fort Polk, LA

    SciTech Connect (OSTI)

    Shonder, John A; Hughes, Patrick

    1997-06-01

    At Fort Polk, Louisiana, the space-conditioning systems of an entire city (4,003 military family housing units) have been converted to geothermal heat pumps (GHPs) under an energy savings performance contract. At the same time, other efficiency measures, such as compact fluorescent lights, low-flow hot water outlets, and attic insulation, were installed. These retrofits were performed by an energy services company at no up-front cost to the Army. The company has also assumed responsibility for maintenance of all equipment installed. In return, it receives a percentage of the energy and maintenance savings realized by the Army. In developing the energy savings performance contract, the Army estimated its pre-retrofit maintenance costs from bids received on a request for proposals. In this paper, a more rigorous cost estimate is developed, based on a survey of maintenance records for the pre-retrofit HVAC equipment. The reliability of the equipment is also estimated using an actuarial method to determine the number of units requiring replacement each year and the effect of these replacements on annual maintenance costs.

  18. Estimated maintenance cost savings from a geothermal heat pump energy savings performance contract at Fort Polk, Louisiana

    SciTech Connect (OSTI)

    Shonder, J.A.; Hughes, P.J.

    1997-12-31

    At Fort Polk, Louisiana, the space-conditioning systems of an entire city (4,003 military family housing units) have been converted to geothermal heat pumps (GHPs) under an energy savings performance contract. At the same time, other efficiency measures, such as compact fluorescent lights, low-flow hot water outlets, and attic insulation, were installed. These retrofits were performed by an energy services company at no up-front cost to the Army. The company has also assumed responsibility for maintenance of all the equipment installed. In return, it receives a percentage of the energy and maintenance savings realized by the Army. In developing the energy savings performance contract, the Army estimated its pre-retrofit maintenance costs from bids received on a request for proposals. In this paper, a more rigorous cost estimate is developed, based on a survey of maintenance records for the pre-retrofit HVAC equipment. The reliability of the equipment is also estimated using an actuarial method to determine the number of units requiring replacement each year and the effect of these replacements on annual maintenance costs.

  19. EIA Report Estimates Growth of U.S. Energy Economy Through 2040...

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

    What are the key facts? Crude oil, natural gas and renewable energy production are expected to grow rapidly. Net energy imports are expected to decline, as production grows faster ...

  20. New Wind Energy Resource Potential Estimates for the United States (Presentation)

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Brower, M.; Hale, E.; Phelps, B.

    2011-01-01

    This presentation provides an overview of the wind energy resource mapping efforts conducted at NREL and by Truepower.

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

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

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

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  3. Uncertainty Estimation of Radiometric Data using a Guide to the Expression of Uncertainty in Measurement (GUM) Method (Presentation), NREL (National Renewable Energy Laboratory)

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

    D00-64984 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Re newable Energy, operated by the Alliance for Sustainable Energy, LLC. Uncertainty Estimation of Radiometric Data using a Guide to the Expression of Uncertainty in Measurement (GUM) Method ICEM Conference, Boulder, CO 06-25-2015 Presenter: Aron Habte, NREL 2 Motivation: * To develop a consensus standard to estimate radiometric measurement uncertainty.  At present the tendency is to look

  4. Technique for the Estimation of Surface Temperatures from Embedded Temperature Sensing for Rapid, High Energy Surface Deposition

    SciTech Connect (OSTI)

    Watkins, Tyson R.; Schunk, Peter Randall; Roberts, Scott A.

    2014-07-01

    Temperature histories on the surface of a body that has been subjected to a rapid, high-energy surface deposition process can be di#14;fficult to determine, especially if it is impossible to directly observe the surface or attach a temperature sensor to it. In this report, we explore two methods for estimating the temperature history of the surface through the use of a sensor embedded within the body very near to the surface. First, the maximum sensor temperature is directly correlated with the peak surface temperature. However, it is observed that the sensor data is both delayed in time and greatly attenuated in magnitude, making this approach unfeasible. Secondly, we propose an algorithm that involves fitting the solution to a one-dimensional instantaneous energy solution problem to both the sensor data and to the results of a one-dimensional CVFEM code. This algorithm is shown to be able to estimate the surface temperature {+-}~20#14;{degrees}C.

  5. 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.

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

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

    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...

  7. 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.

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

    SciTech Connect (OSTI)

    None, None

    2008-09-01

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

  9. A Dynamic Programming Approach to Estimate the Capacity Value of Energy Storage

    Broader source: Energy.gov [DOE]

    We present a method to estimate the capacity value of storage. Our method uses a dynamic program to model the effect of power system outages on the operation and state of charge of storage in subsequent periods. We combine the optimized dispatch from the dynamic program with estimated system loss of load probabilities to compute a probability distribution for the state of charge of storage in each period. This probability distribution can be used as a forced outage rate for storage in standard reliability-based capacity value estimation methods. Our proposed method has the advantage over existing approximations that it explicitly captures the effect of system shortage events on the state of charge of storage in subsequent periods. We also use a numerical case study, based on five utility systems in the U.S., to demonstrate our technique and compare it to existing approximation methods.

  10. Estimating electricity storage power rating and discharge duration for utility transmission and distribution deferral :a study for the DOE energy storage program.

    SciTech Connect (OSTI)

    Eyer, James M. (Distributed Utility Associates, Livermore, CA); Butler, Paul Charles; Iannucci, Joseph J., Jr.

    2005-11-01

    This report describes a methodology for estimating the power and energy capacities for electricity energy storage systems that can be used to defer costly upgrades to fully overloaded, or nearly overloaded, transmission and distribution (T&D) nodes. This ''sizing'' methodology may be used to estimate the amount of storage needed so that T&D upgrades may be deferred for one year. The same methodology can also be used to estimate the characteristics of storage needed for subsequent years of deferral.

  11. 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

  12. Solar energy conversion via hot electron internal photoemission in metallic nanostructures: Efficiency estimates

    SciTech Connect (OSTI)

    Leenheer, Andrew J.; Narang, Prineha; Atwater, Harry A.; Lewis, Nathan S.

    2014-04-07

    Collection of hot electrons generated by the efficient absorption of light in metallic nanostructures, in contact with semiconductor substrates can provide a basis for the construction of solar energy-conversion devices. Herein, we evaluate theoretically the energy-conversion efficiency of systems that rely on internal photoemission processes at metal-semiconductor Schottky-barrier diodes. In this theory, the current-voltage characteristics are given by the internal photoemission yield as well as by the thermionic dark current over a varied-energy barrier height. The Fowler model, in all cases, predicts solar energy-conversion efficiencies of <1% for such systems. However, relaxation of the assumptions regarding constraints on the escape cone and momentum conservation at the interface yields solar energy-conversion efficiencies as high as 1%10%, under some assumed (albeit optimistic) operating conditions. Under these conditions, the energy-conversion efficiency is mainly limited by the thermionic dark current, the distribution of hot electron energies, and hot-electron momentum considerations.

  13. Estimates of HE-LHC beam parameters at different injection energies

    SciTech Connect (OSTI)

    Sen, Tanaji; /Fermilab

    2010-11-01

    A future upgrade to the LHC envisions increasing the top energy to 16.5 TeV and upgrading the injectors. There are two proposals to replace the SPS as the injector to the LHC. One calls for a superconducting ring in the SPS tunnel while the other calls for an injector (LER) in the LHC tunnel. In both scenarios, the injection energy to the LHC will increase. In this note we look at some of the consequences of increased injection energy to the beam dynamics in the LHC.

  14. Table 3.3 Consumer Price Estimates for Energy by Source, 1970-2010 (Dollars per Million Btu)

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

    Consumer Price Estimates for Energy by Source, 1970-2010 (Dollars 1 per Million Btu) Year Primary Energy 2 Electric Power Sector 11,12 Retail Electricity 13 Total Energy 9,10,14 Coal Natural Gas 3 Petroleum Nuclear Fuel Biomass 8 Total 9,10 Distillate Fuel Oil Jet Fuel 4 LPG 5 Motor Gasoline 6 Residual Fuel Oil Other 7 Total 1970 0.38 0.59 1.16 0.73 1.43 2.85 0.42 1.38 1.71 0.18 1.29 1.08 0.32 4.98 1.65 1971 .42 .63 1.22 .77 1.46 2.90 .58 1.45 1.78 .18 1.31 1.15 .38 5.30 1.76 1972 .45 .68 1.22

  15. R&D program benefits estimation: DOE Office of Electricity Delivery and Energy Reliability

    SciTech Connect (OSTI)

    None, None

    2006-12-04

    The overall mission of the U.S. Department of Energy’s Office of Electricity Delivery and Energy Reliability (OE) is to lead national efforts to modernize the electric grid, enhance the security and reliability of the energy infrastructure, and facilitate recovery from disruptions to the energy supply. In support of this mission, OE conducts a portfolio of research and development (R&D) activities to advance technologies to enhance electric power delivery. Multiple benefits are anticipated to result from the deployment of these technologies, including higher quality and more reliable power, energy savings, and lower cost electricity. In addition, OE engages State and local government decision-makers and the private sector to address issues related to the reliability and security of the grid, including responding to national emergencies that affect energy delivery. The OE R&D activities are comprised of four R&D lines: High Temperature Superconductivity (HTS), Visualization and Controls (V&C), Energy Storage and Power Electronics (ES&PE), and Distributed Systems Integration (DSI).

  16. A Review of Cost Estimation in New Technologies: Implications for Energy Process Plants

    Office of Environmental Management (EM)

    Degradation Pathway Main Simulation Tool | Department of Energy A Proof of Concept: Grizzly, the LWRS Program Materials Aging and Degradation Pathway Main Simulation Tool A Proof of Concept: Grizzly, the LWRS Program Materials Aging and Degradation Pathway Main Simulation Tool Nuclear power currently provides a significant fraction of the United States' non- carbon emitting power generation. In future years, nuclear power must continue to generate a significant portion of the nation's

  17. 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

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

    SciTech Connect (OSTI)

    Fowler, Michael J.; Howard, Marylesa; Luttman, Aaron; Mitchell, Stephen E.; Webb, Timothy J.

    2015-06-03

    One of the primary causes of blur in a high-energy X-ray imaging system is the shape and extent of the radiation source, or ‘spot’. It is important to be able to quantify the size of the spot as it provides a lower bound on the recoverable resolution for a radiograph, and penumbral imaging methods – which involve the analysis of blur caused by a structured aperture – can be used to obtain the spot’s spatial profile. We present a Bayesian approach for estimating the spot shape that, unlike variational methods, is robust to the initial choice of parameters. The posterior is obtained from a normal likelihood, which was constructed from a weighted least squares approximation to a Poisson noise model, and prior assumptions that enforce both smoothness and non-negativity constraints. A Markov chain Monte Carlo algorithm is used to obtain samples from the target posterior, and the reconstruction and uncertainty estimates are the computed mean and variance of the samples, respectively. Lastly, synthetic data-sets are used to demonstrate accurate reconstruction, while real data taken with high-energy X-ray imaging systems are used to demonstrate applicability and feasibility.

  19. Table 3.6 Consumer Expenditure Estimates for Energy by End-Use Sector, 1970-2010 (Million Dollars )

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

    Consumer Expenditure Estimates for Energy by End-Use Sector, 1970-2010 (Million Dollars 1) Year Residential Commercial Industrial Transportation Natural Gas 2 Petroleum Retail Electricity 3 Total 4 Natural Gas 2 Petroleum 5 Retail Electricity 3 Total 6,7 Coal Natural Gas 2 Petroleum 5 Biomass 8 Retail Electricity 3 Total 7,9 Petroleum 5 Total 7,10 1970 5,272 4,186 10,352 20,112 1,844 1,440 7,319 10,678 2,082 2,625 6,069 366 5,624 16,691 35,327 35,379 1971 5,702 4,367 11,589 21,934 2,060 1,574

  20. 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.

  1. Chapter 23: Estimating Net Savings: Common Practices. The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures: September 2011 … December 2014

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

    3: Estimating Net Savings: Common Practices The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures Created as part of subcontract with period of performance September 2011 - December 2014 Daniel M. Violette, Ph.D. Navigant, Boulder, Colorado Pamela Rathbun, Tetra Tech, Madison, Wisconsin NREL Technical Monitor: Charles Kurnik Subcontract Report NREL/SR-7A40-62678 September 2014 NREL is a national laboratory of the U.S. Department of Energy Office of

  2. Low-Risk and Cost-Effective Prior Savings Estimates for Large-Scale Energy Conservation Projects in Housing: Learning from the Fort Polk GHP Project

    SciTech Connect (OSTI)

    Shonder, John A; Hughes, Patrick; Thornton, Jeff W.

    1997-08-01

    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

  3. Chapter 12, Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings: The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures

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

    Chapter 12: Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings Robert Baumgartner, Tetra Tech Subcontract Report NREL/SR-7A30-53827 April 2013 The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures 12 - 1 Chapter 12 - Table of Contents 1 Introduction ............................................................................................................................ 2 2 The Total Survey Error Framework

  4. 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.

  5. The effect of the geomagnetic field on cosmic ray energy estimates and large scale anisotropy searches on data from the Pierre Auger Observatory

    SciTech Connect (OSTI)

    Abreu, P.; Aglietta, M.; Ahn, E.J.; Albuquerque, I.F.M.; Allard, D.; Allekotte, I.; Allen, J.; Allison, P.; Alvarez Castillo, J.; Alvarez-Muniz, J.; Ambrosio, M.; ,

    2011-11-01

    We present a comprehensive study of the influence of the geomagnetic field on the energy estimation of extensive air showers with a zenith angle smaller than 60{sup o}, detected at the Pierre Auger Observatory. The geomagnetic field induces an azimuthal modulation of the estimated energy of cosmic rays up to the {approx} 2% level at large zenith angles. We present a method to account for this modulation of the reconstructed energy. We analyse the effect of the modulation on large scale anisotropy searches in the arrival direction distributions of cosmic rays. At a given energy, the geomagnetic effect is shown to induce a pseudo-dipolar pattern at the percent level in the declination distribution that needs to be accounted for. In this work, we have identified and quantified a systematic uncertainty affecting the energy determination of cosmic rays detected by the surface detector array of the Pierre Auger Observatory. This systematic uncertainty, induced by the influence of the geomagnetic field on the shower development, has a strength which depends on both the zenith and the azimuthal angles. Consequently, we have shown that it induces distortions of the estimated cosmic ray event rate at a given energy at the percent level in both the azimuthal and the declination distributions, the latter of which mimics an almost dipolar pattern. We have also shown that the induced distortions are already at the level of the statistical uncertainties for a number of events N {approx_equal} 32 000 (we note that the full Auger surface detector array collects about 6500 events per year with energies above 3 EeV). Accounting for these effects is thus essential with regard to the correct interpretation of large scale anisotropy measurements taking explicitly profit from the declination distribution.

  6. Derived Annual Estimates

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

    74-1988 For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity...

  7. Estimating Methods

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

    1997-03-28

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  8. 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?

  9. Evaluating Investments in Natural Gas Vehicles and Infrastructure for Your Fleet: Vehicle Infrastructure Cash-Flow Estimation -- VICE 2.0; Clean Cities, Energy Efficiency & Renewable Energy (EERE)

    SciTech Connect (OSTI)

    Gonzales, John

    2015-04-02

    Presentation by Senior Engineer John Gonzales on Evaluating Investments in Natural Gas Vehicles and Infrastructure for Your Fleet using the Vehicle Infrastructure Cash-flow Estimation (VICE) 2.0 model.

  10. A simplified model for estimating population-scale energy impacts of building envelope air-tightening and mechanical ventilation retrofits

    SciTech Connect (OSTI)

    Logue, J. M.; Turner, W. J.N.; Walker, I. S.; Singer, B. C.

    2015-07-01

    Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector’s energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level.

  11. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    SciTech Connect (OSTI)

    Komiyama, Ryoichi; Marnay, Chris; Stadler, Michael; Lai, Judy; Borgeson, Sam; Coffey, Brian; Azevedo, Ines Lima

    2009-09-01

    In this analysis, the authors projected Japan's energy demand/supply and energy-related CO{sub 2} emissions to 2050. Their analysis of various scenarios indicated that Japan's CO{sub 2} emissions in 2050 could be potentially reduced by 26-58% from the current level (FY 2005). These results suggest that Japan could set a CO{sub 2} emission reduction target for 2050 at between 30% and 60%. In order to reduce CO{sub 2} emissions by 60% in 2050 from the present level, Japan will have to strongly promote energy conservation at the same pace as an annual rate of 1.9% after the oil crises (to cut primary energy demand per GDP (TPES/GDP) in 2050 by 60% from 2005) and expand the share of non-fossil energy sources in total primary energy supply in 2050 to 50% (to reduce CO{sub 2} emissions per primary energy demand (CO{sub 2}/TPES) in 2050 by 40% from 2005). Concerning power generation mix in 2050, nuclear power will account for 60%, solar and other renewable energy sources for 20%, hydro power for 10% and fossil-fired generation for 10%, indicating substantial shift away from fossil fuel in electric power supply. Among the mitigation measures in the case of reducing CO{sub 2} emissions by 60% in 2050, energy conservation will make the greatest contribution to the emission reduction, being followed by solar power, nuclear power and other renewable energy sources. In order to realize this massive CO{sub 2} abatement, however, Japan will have to overcome technological and economic challenges including the large-scale deployment of nuclear power and renewable technologies.

  12. Estimated Energy Savings and Financial Impacts of Nanomaterials by Design on Selected Applications in the Chemical Industry

    SciTech Connect (OSTI)

    Thayer, Gary R.; Roach, J. Fred; Dauelsberg, Lori

    2006-03-01

    This study provides a preliminary analysis of the potential impact that nanotechnology could have on energy efficiency, economic competitiveness, waste reduction, and productivity, in the chemical and related industries.

  13. Estimation of the electron density and radiative energy losses in a calcium plasma source based on an electron cyclotron resonance discharge

    SciTech Connect (OSTI)

    Potanin, E. P. Ustinov, A. L.

    2013-06-15

    The parameters of a calcium plasma source based on an electron cyclotron resonance (ECR) discharge were calculated. The analysis was performed as applied to an ion cyclotron resonance system designed for separation of calcium isotopes. The plasma electrons in the source were heated by gyrotron microwave radiation in the zone of the inhomogeneous magnetic field. It was assumed that, in such a combined trap, the energy of the extraordinary microwave propagating from the high-field side was initially transferred to a small group of resonance electrons. As a result, two electron components with different transverse temperatures-the hot resonance component and the cold nonresonance component-were created in the plasma. The longitudinal temperatures of both components were assumed to be equal. The entire discharge space was divided into a narrow ECR zone, where resonance electrons acquired transverse energy, and the region of the discharge itself, where the gas was ionized. The transverse energy of resonance electrons was calculated by solving the equations for electron motion in an inhomogeneous magnetic field. Using the law of energy conservation and the balance condition for the number of hot electrons entering the discharge zone and cooled due to ionization and elastic collisions, the density of hot electrons was estimated and the dependence of the longitudinal temperature T{sub e Parallel-To} of the main (cold) electron component on the energy fraction {beta} lost for radiation was obtained.

  14. Offshore Wind Turbines - Estimated Noise from Offshore Wind Turbine, Monhegan Island, Maine: Environmental Effects of Offshore Wind Energy Development

    SciTech Connect (OSTI)

    Aker, Pamela M.; Jones, Anthony M.; Copping, Andrea E.

    2010-11-23

    Deep C Wind, a consortium headed by the University of Maine will test the first U.S. offshore wind platforms in 2012. In advance of final siting and permitting of the test turbines off Monhegan Island, residents of the island off Maine require reassurance that the noise levels from the test turbines will not disturb them. Pacific Northwest National Laboratory, at the request of the University of Maine, and with the support of the U.S. Department of Energy Wind Program, modeled the acoustic output of the planned test turbines.

  15. Model-dependent estimate on the connection between fast radio bursts and ultra high energy cosmic rays

    SciTech Connect (OSTI)

    Li, Xiang; Zhou, Bei; He, Hao-Ning; Fan, Yi-Zhong; Wei, Da-Ming

    2014-12-10

    The existence of fast radio bursts (FRBs), a new type of extragalatic transient, has recently been established, and quite a few models have been proposed. In this work, we discuss the possible connection between the FRB sources and ultra high energy (>10{sup 18} eV) cosmic rays. We show that in the blitzar model and the model of merging binary neutron stars, which includes the huge energy release of each FRB central engine together with the rather high rate of FRBs, the accelerated EeV cosmic rays may contribute significantly to the observed ones. In other FRB models, including, for example, the merger of double white dwarfs and the energetic magnetar radio flares, no significant EeV cosmic ray is expected. We also suggest that the mergers of double neutron stars, even if they are irrelevant to FRBs, may play a nonignorable role in producing EeV cosmic ray protons if supramassive neutron stars are formed in a sufficient fraction of mergers and the merger rate is ? 10{sup 3} yr{sup 1} Gpc{sup 3}. Such a possibility will be unambiguously tested in the era of gravitational wave astronomy.

  16. Natural Phenomena Hazards Modeling Project: Preliminary flood hazards estimates for screening Department of Energy sites, Albuquerque Operations Office

    SciTech Connect (OSTI)

    McCann, M.W. Jr.; Boissonnade, A.C.

    1988-05-01

    As part of an ongoing program, Lawrence Livermore National Laboratory (LLNL) is directing the Natural Phenomena Hazards Modeling Project (NPHMP) on behalf of the Department of Energy (DOE). A major part of this effort is the development of probabilistic definitions of natural phenomena hazards; seismic, wind, and flood. In this report the first phase of the evaluation of flood hazards at DOE sites is described. Unlike seismic and wind events, floods may not present a significant threat to the operations of all DOE sites. For example, at some sites physical circumstances may exist that effectively preclude the occurrence of flooding. As a result, consideration of flood hazards may not be required as part of the site design basis. In this case it is not necessary to perform a detailed flood hazard study at all DOE sites, such as those conducted for other natural phenomena hazards, seismic and wind. The scope of the preliminary flood hazard analysis is restricted to evaluating the flood hazards that may exist in proximity to a site. The analysis does involve an assessment of the potential encroachment of flooding on-site at individual facility locations. However, the preliminary flood hazard assessment does not consider localized flooding at a site due to precipitation (i.e., local run-off, storm sewer capacity, roof drainage). These issues are reserved for consideration by the DOE site manager. 11 refs., 84 figs., 61 tabs.

  17. Energy

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

    national energy security by developing energy sources with limited impacts on environment ... Energy Engineering High Energy Density Plasmas, Fluids Information Science, ...

  18. Estimate Radiological Dose for Animals

    Energy Science and Technology Software Center (OSTI)

    1997-12-18

    Estimate Radiological dose for animals in ecological environment using open literature values for parameters such as body weight, plant and soil ingestion rate, rad. halflife, absorbed energy, biological halflife, gamma energy per decay, soil-to-plant transfer factor, ...etc

  19. Energy

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

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  20. Energy

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

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  1. Energy

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

    Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency 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 Energy Nuclear

  2. EIA Estimates of Crude Oil and Liquid Fuels Supply Disruptions

    Reports and Publications (EIA)

    2013-01-01

    Short-Term Energy Outlook Supplement: Energy Information Administration estimates of crude oil and liquid fuels supply disruptions

  3. ENERGY

    Energy Savers [EERE]

    U.S. Department of ENERGY Department of Energy Quadrennial Technology Review-2015 Framing Document http:energy.govqtr 2015-01-13 Page 2 The United States faces serious ...

  4. Energy

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

    Energy /newsroom/_assets/images/energy-icon.png Energy Research into alternative forms of energy, and improving and securing the power grid, is a major national security imperative. Health Space Computing Energy Earth Materials Science Technology The Lab All Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma

  5. Energy Preview: Residential Transportation Energy Consumption...

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

    t 7 Energy Preview: Residential Transportation Energy Consumption Survey, Preliminary Estimates, 1991 (See Page 1) This publication and other Energy Information Administration...

  6. Case Study: Opportunities to Improve Energy Efficiency in Three...

    Energy Savers [EERE]

    ... Site Estimated Payback, Years Estimated Annual Energy Saving, MWh Estimated Annual GHG ... (LBNL) to provide measurements of energy usage, and total building energy consumption. ...

  7. A Method to Estimate Uncertainty in Radiometric Measurement Using the Guide to the Expression of Uncertainty in Measurement (GUM) Method; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Habte, A.; Sengupta, M.; Reda, I.

    2015-03-01

    Radiometric data with known and traceable uncertainty is essential for climate change studies to better understand cloud radiation interactions and the earth radiation budget. Further, adopting a known and traceable method of estimating uncertainty with respect to SI ensures that the uncertainty quoted for radiometric measurements can be compared based on documented methods of derivation.Therefore, statements about the overall measurement uncertainty can only be made on an individual basis, taking all relevant factors into account. This poster provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements from radiometers. The approach follows the Guide to the Expression of Uncertainty in Measurement (GUM). derivation.Therefore, statements about the overall measurement uncertainty can only be made on an individual basis, taking all relevant factors into account. This poster provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements from radiometers. The approach follows the Guide to the Expression of Uncertainty in Measurement (GUM).

  8. PVWatts | Department of Energy

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

    NREL's PVWatts Calculator estimates the energy production and cost of energy of grid-connected photovoltaic (PV) energy systems throughout the world. It allows homeowners, small ...

  9. Energy

    Office of Legacy Management (LM)

    ..) ".. _,; ,' . ' , ,; Depar?.me.nt ,of.' Energy Washington; DC 20585 : . ' , - $$ o"\ ' ~' ,' DEC ?;$ ;y4,,, ~ ' .~ The Honorable John Kalwitz , 200 E. Wells Street Milwaukee, W~isconsin 53202, . . i :. Dear,Mayor 'Kalwitz: " . " Secretary of Energy Hazel' O'Leary has announceha new,approach 'to,openness in " the Department of Ene~rgy (DOE) and its communications with'the public. In -. support of~this initiative, we areipleased to forward the enclosed information

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

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

    A Review of Cost Estimation in New Technologies - Implications for Energy Process Plants This report reviews literature on cost estimation in several areas involving major capital ...

  11. Hydrogen Station Cost Estimates: Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates

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

    Hydrogen Station Cost Estimates Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates M. Melaina and M. Penev National Renewable Energy Laboratory Technical Report NREL/TP-5400-56412 September 2013 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

  12. Adjusted Estimates of Texas Natural Gas Production

    Reports and Publications (EIA)

    2005-01-01

    The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO2) production.

  13. Guidelines for Estimating Unmetered Industrial Water Use

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

    Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of ... PNNL would like to thank the Federal Water Working Group of the Interagency Energy ...

  14. A Method to Estimate Uncertainty in Radiometric Measurement Using the Guide to the Expression of Uncertainty in Measurement (GUM) Method (Poster), NREL (National Renewable Energy Laboratory)

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

    Traceability Chain of Radiometric Measurements Abstract Radiometric data with known and traceable uncertainty is essential for climate change studies to better understand cloud radiation interactions and the earth radiation budget. Further, adopting a known and traceable method of estimating uncertainty with respect to SI ensures that the uncertainty quoted for radiometric measurements can be compared based on documented methods of derivation. Currently, most radiometric data users rely on

  15. Energy

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

    M onthly Energy Re< view Ila A a m 0 II 8 IIIW *g U In this issue: New data on nuclear electricity in Eastern Europe (Table 10.4) 9'Ij a - Ordering Information This publication...

  16. NREL Report Estimates Market Potential of Shared Solar and Discusses...

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

    Report Estimates Market Potential of Shared Solar and Discusses Relevant Securities Regulations April 27, 2015 Analysis from the Energy Department's National Renewable Energy ...

  17. Issues and Methods for Estimating the Percentage Share of Ethanol...

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

    Energy Information Administration 1 Issues and Methods for Estimating the Share of Ethanol in the Motor Gasoline Supply U.S. Energy Information Administration October 6, 2011...

  18. Methodology for Monthly Crude Oil Production Estimates

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

    015 U.S. Energy Information Administration | Methodology for Monthly Crude Oil Production Estimates 1 Methodology for Monthly Crude Oil Production Estimates Executive summary The U.S. Energy Information Administration (EIA) relies on data from state and other federal agencies and does not currently collect survey data directly from crude oil producers. Summarizing the estimation process in terms of percent of U.S. production: * 20% is based on state agency data, including North Dakota and

  19. U.S. Energy Information Administration | State Energy Data 2013...

    Gasoline and Diesel Fuel Update (EIA)

    consumption estimates by individual energy source in the State Energy Data System (SEDS). ... conventional hydroelectric power (HY) * solar thermal direct use energy and ...

  20. U.S. Energy Information Administration | State Energy Data 2013...

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

    energy sources are based on consumption estimates from the State Energy Data System (SEDS). ... hydropower and geothermal, wind, wood, waste, photovoltaic, and solar thermal energy. ...

  1. U.S. Energy Information Administration | State Energy Data 2014...

    Gasoline and Diesel Fuel Update (EIA)

    energy sources are based on consumption estimates from the State Energy Data System (SEDS). ... hydropower and geothermal, wind, wood, waste, photovoltaic, and solar thermal energy. ...

  2. Home Energy Score FAQs for Partners

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

    ... Based on these home characteris- tics, the software estimates the home's annual energy use, assuming typical homeowner behavior. The software then calculates the estimated energy ...

  3. Guidance on Utility Rate Estimations and Weather Normalization in an ESPC

    Broader source: Energy.gov [DOE]

    Document explains how to use estimated energy rates and normalized weather data in determining an energy service company's (ESCO's) payments under a Federal energy savings performance contract (ESPC).

  4. Cost Estimation Package

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

    1997-03-28

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  5. Energy Technology Cost and Performance Data | Open Energy Information

    Open Energy Info (EERE)

    Performance Data This data indicates the range of recent cost estimates for renewable energy and other technologies. The estimates are shown in dollars per installed kilowatts of...

  6. Chapter 3: FY 2005 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed—NEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.

  7. Chapter 3: FY 2006 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed–NEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.

  8. Property:EstimatedTime | 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 Retrieved from "http:en.openei.orgwindex.php?titleProperty:...

  9. Check Estimates and Independent Costs

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

    1997-03-28

    Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

  10. Types of Cost Estimates

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

    1997-03-28

    The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

  11. Buildings Greenhouse Gas Mitigation Estimator Worksheet | Department of

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

    Energy Buildings Greenhouse Gas Mitigation Estimator Worksheet Buildings Greenhouse Gas Mitigation Estimator Worksheet Excel tool helps agencies estimate the greenhouse gas (GHG) mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings. For example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office

  12. How EIA Estimates Natural Gas Production

    Reports and Publications (EIA)

    2004-01-01

    The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing states and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The states and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

  13. Energy 101: Geothermal Energy | Department of Energy

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

    Geothermal Energy Energy 101: Geothermal Energy

  14. Estimating Monthly 1989-2000 Data for Generation, Consumption...

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

    Monthly Energy Review, Section 7: Estimating Monthly 1989-2000 Data for Generation, Consumption, and Stocks For 1989-2000, monthly and annual data were collected for electric ...

  15. Wind Resource Estimation and Mapping at the National Renewable...

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

    Resource Estimation and Mapping at the National Renewable Energy Laboratory April 1999 * NRELCP-500-26245 M. Schwartz Presented at the ASES Solar '99 Conference Portland, Maine...

  16. Estimating Costs and Efficiency of Storage, Demand, and Heat...

    Energy Savers [EERE]

    Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's energy ...

  17. Quality Guidline for Cost Estimation Methodology for NETL Assessments...

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

    and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies April 2011 Disclaimer This report was prepared as an account of work...

  18. Notes on a New Coherence Estimator

    SciTech Connect (OSTI)

    Bickel, Douglas L.

    2016-01-01

    This document discusses some interesting features of the new coherence estimator in [1] . The estimator is d erived from a slightly different viewpoint. We discuss a few properties of the estimator, including presenting the probability density function of the denominator of the new estimator , which is a new feature of this estimator . Finally, we present an appr oximate equation for analysis of the sensitivity of the estimator to the knowledge of the noise value. ACKNOWLEDGEMENTS The preparation of this report is the result of an unfunded research and development activity. Sandia National Laboratories is a multi - program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE - AC04 - 94AL85000.

  19. U.S. Energy Information Administration | State Energy Data 2013...

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

    6: Geothermal Energy Consumption Estimates, 2013 State Geothermal Energy Electric Power Residential Commercial Industrial Electric Power Total Million Kilowatthours Trillion Btu...

  20. EIA Energy Efficiency-Residential Sector Energy Intensities,...

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

    Residential Sector Energy Intensities RESIDENTIAL SECTOR ENERGY INTENSITIES: 1978-2005 Released Date: August 2004 Page Last Modified:June 2009 These tables provide estimates of...

  1. U.S. Energy Information Administration | State Energy Data 2013...

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

    the energy sources consumed by the electric power sector; electricity consumed by end users (i.e., electricity sold to end users); estimates of the electrical system energy ...

  2. U.S. Energy Information Administration | State Energy Data 2014...

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

    the energy sources consumed by the electric power sector; electricity consumed by end users (i.e., electricity sold to end users); estimates of the electrical system energy ...

  3. SEP Success Story: Energy Department Funding Helping Energy-Intensive...

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

    received a free energy audit and energy saving recommendations through the Colorado ... improvements, which were estimated to save nearly 3 million British thermal units ...

  4. U.S. Energy Information Administration | State Energy Data 2013...

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

    F29: Wind Energy Consumption Estimates, 2013 State Commercial Industrial Electric Power ... There are no direct fuel costs for wind energy. Totals may not equal sum of ...

  5. Recent Publications | Department of Energy

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

    This report also includes the estimated economic benefits from hypothetical Federal energy efficiency matching grants, as directed by the Act. January 21, 2015 Energy Intensity ...

  6. Annual Energy Review - July 2006

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

    5 (Million Short Tons) Energy Information Administration Annual Energy Review 2005 203 Notes: * Production categories are estimated; other data are preliminary. * Values are...

  7. Summary and Presentations from "Estimating the Benefits and Costs...

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

    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...

  8. Reservoir Temperature Estimator

    Energy Science and Technology Software Center (OSTI)

    2014-12-08

    The Reservoir Temperature Estimator (RTEst) is a program that can be used to estimate deep geothermal reservoir temperature and chemical parameters such as CO2 fugacity based on the water chemistry of shallower, cooler reservoir fluids. This code uses the plugin features provided in The Geochemist’s Workbench (Bethke and Yeakel, 2011) and interfaces with the model-independent parameter estimation code Pest (Doherty, 2005) to provide for optimization of the estimated parameters based on the minimization of themore » weighted sum of squares of a set of saturation indexes from a user-provided mineral assemblage.« less

  9. Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants

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

    Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and

  10. Estimation of the relationship between remotely sensed anthropogenic heat

    Office of Scientific and Technical Information (OSTI)

    discharge and building energy use (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use Citation Details In-Document Search Title: Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from

  11. Estimating Specialty Costs

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

    1997-03-28

    Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

  12. Energy End-Use Intensities in Commercial Buildings

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

    Estimates The end-use estimates had two main sources: the 1989 Commercial Buildings Energy Consumption Survey (CBECS) and the Facility Energy Decision Screening (FEDS) system....

  13. R A N K I N G S U.S. Energy Information Administration | State...

    Gasoline and Diesel Fuel Update (EIA)

    7 Table C12. Total Energy Consumption Estimates, Real Gross Domestic Product (GDP), Energy Consumption Estimates per Real Dollar of GDP, Ranked by State, 2013 Rank Total Energy...

  14. ENERGY SMART INDUSTRIAL PARTNER

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

    provide summary of the critical baseline systems at a facility and identify potential energy efficiency measures. The assessment would provide ballpark estimates of efficiency...

  15. Department of Energy Announces More Stringent Energy Efficient Criteria for

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

    ENERGY STAR® Dishwashers | Department of Energy Stringent Energy Efficient Criteria for ENERGY STAR® Dishwashers Department of Energy Announces More Stringent Energy Efficient Criteria for ENERGY STAR® Dishwashers March 2, 2006 - 11:39am Addthis More Efficient Dishwashers Estimated to Save Consumers over $26 Million Annually WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced more stringent energy efficient criteria for dishwashers carrying the ENERGY STAR® label that

  16. NREL Raises Rooftop Photovoltaic Technical Potential Estimate - News

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

    Releases | NREL NREL Raises Rooftop Photovoltaic Technical Potential Estimate New analysis nearly doubles previous estimates and shows U.S. building rooftops could generate close to 40 percent of national electricity sales March 24, 2016 Analysts at the Energy Department's National Renewable Energy Laboratory (NREL) have used detailed light detection and ranging (LiDAR) data for 128 cities nationwide, along with improved data analysis methods and simulation tools, to update its estimate of

  17. Cost Estimating Guide

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

    1997-03-28

    The objective of this Guide is to improve the quality of cost estimates and further strengthen the DOE program/project management system. The original 25 separate chapters and three appendices have been combined to create a single document.

  18. Cost Estimating Guide

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

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates.

  19. Cost Estimating Guide

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

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

  20. Distribution System State Estimation

    Office of Scientific and Technical Information (OSTI)

    This Notice shall be affixed to any reproductions of these data in whole or in part. Executive Summary State estimation is a key enabler for any number of "smart grid" applications ...

  1. Appliance Energy Calculator

    Broader source: Energy.gov [DOE]

    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...

  2. Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive

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

    Applications: Fuel Cell Tech Team Review | Department of Energy Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review This presentation reports on direct hydrogen PEMFC manufacturing cost estimation for automotive applications. PDF icon Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech

  3. Alaska Harbors Geothermal Energy Potential | Department of Energy

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

    Alaska Harbors Geothermal Energy Potential Alaska Harbors Geothermal Energy Potential January 10, 2014 - 12:00am Addthis Alaska Harbors Geothermal Energy Potential Leveraging historical investments in innovative exploration technologies from the U.S. Department of Energy, a study released yesterday from the USGS estimates a potential 29 MW of geothermal energy - €nearly ten times higher than estimates from the 1980s - €beneath Akutan Volcano. Energy from this active volcano, nestled in the

  4. Energy and Cost Savings Calculators for Energy-Efficient Products |

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

    Department of Energy Efficient Products » Energy and Cost Savings Calculators for Energy-Efficient Products Energy and Cost Savings Calculators for Energy-Efficient Products Estimate energy and cost savings for energy- and water-efficient product categories using these interactive calculators provided by the Federal Energy Management Program or ENERGY STAR. Commercial Heating and Cooling Air-Cooled Chillers Boilers Commercial Heat Pumps Commercial Rooftop Air Conditioners Residential

  5. Sandia Energy - Energy Surety

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

    Energy, Energy Assurance, Energy Surety, Grid Integration, Infrastructure Security, Microgrid, News, News & Events, Renewable Energy, Systems Analysis, Systems Engineering,...

  6. Sandia Energy - Energy Assurance

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

    Energy, Energy Assurance, Energy Surety, Grid Integration, Infrastructure Security, Microgrid, News, News & Events, Renewable Energy, Systems Analysis, Systems Engineering,...

  7. Manufacturing consumption of energy 1991

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

  8. Buildings GHG Mitigation Estimator Worksheet, Version 1

    Broader source: Energy.gov [DOE]

    Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.

  9. REQUESTS FOR RETIREMENT ESTIMATE

    Energy Savers [EERE]

    REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________

  10. Weekly Coal Production Estimation Methodology

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

    Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio ...

  11. Magnetic nanoparticle temperature estimation

    SciTech Connect (OSTI)

    Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.

    2009-05-15

    The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.

  12. Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water

    Energy Savers [EERE]

    Heaters | Department of Energy Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's energy efficiency is determined by the energy factor (EF), which is based on the amount of hot water produced per unit of fuel consumed over a typical day. The higher the energy factor, the more efficient the water heater. A water heater's energy efficiency is determined by the energy

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

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

    When will energy consumption estimates be available? Energy consumption and expenditures data will be available beginning in spring 2015. CBECS data collection is currently in its ...

  14. Minnesota Energy Resources (Gas) - Commercial and Industrial...

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

    on energy saving opportunities, and estimated costs and savings. Free facility benchmarking services which analyze energy usage are available as well. Applications for audits...

  15. Tax Credits, Rebates & Savings | Department of Energy

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

    Homes Incentive Program Most incentives are based on a home's Energy Performance Score (EPS), a measurement tool that assesses a home's energy consumption, estimated utility costs...

  16. Tax Credits, Rebates & Savings | Department of Energy

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

    on a home's Energy Performance Score (EPS), a measurement tool that assesses a home's energy consumption, estimated utility costs and carbon impact. The EPS allows... Eligibility:...

  17. Assessment of Energy Use in Multibuilding Facilities

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

    Series Assessment of Energy Use in Multibuilding Facilities 35 data. The CBECS Energy Suppliers Survey remains the best source for estimates of district heating and cooling...

  18. Household Vehicles Energy Use: Latest Data & Trends

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

    (EERE) program in the U.S. Department of Energy (DOE), Transportation Energy Data Book: Edition 24. Note: * a recession year. Estimates are displayed as rounded values....

  19. Annual Energy Review 2011 - Released September 2012

    Gasoline and Diesel Fuel Update (EIA)

    1 (Million Short Tons) U.S. Energy Information Administration Annual Energy Review 2011 197 Notes: * Production categories are estimated; all data are preliminary. * Values are...

  20. Annual Energy Review 2003 - September 2004

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

    3 (Million Short Tons) Energy Information Administration Annual Energy Review 2003 199 Notes: * Production categories are estimated; other data are preliminary. * Totals may not...

  1. Annual Energy Review 2004 - August 2005

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

    4 (Million Short Tons) Energy Information Administration Annual Energy Review 2004 203 Notes: * Production categories are estimated; other data are preliminary. * Totals may not...

  2. Use of Cost Estimating Relationships

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

    1997-03-28

    Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

  3. Bandwidth Study U.S. Petroleum Refining | Department of Energy

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

    This bandwidth study examines energy consumption and potential energy savings opportunities in U.S. petroleum refining. The study relies on multiple sources to estimate the energy ...

  4. Energy Department Announces $3 Million to Identify New Geothermal...

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

    in geothermal energy projects and significantly lower the costs of geothermal energy. The U.S. Geological Survey estimates that 30 gigawatts of undiscovered hydrothermal energy...

  5. ITP Petroleum Refining: Energy Bandwidth for Petroleum Refining Processes

    Broader source: Energy.gov [DOE]

    This energy bandwidth analysis provides a realistic estimate of the energy that may be saved in petroleum refining processes by quantifying measures of energy consumption.

  6. Biomass Power Generation Market Capacity is Estimated to Reach...

    Open Energy Info (EERE)

    Biomass Power Generation Market Capacity is Estimated to Reach 122,331.6 MW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150)...

  7. NREL Estimates Economically Viable U.S. Renewable Generation - News

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

    Releases | NREL Estimates Economically Viable U.S. Renewable Generation November 19, 2015 Analysts at the Energy Department's National Renewable Energy Laboratory (NREL) are providing, for the first time, a method for measuring the economic potential of renewable energy across the United States. A study applying this new method found that renewable energy generation is economically viable in many parts of the United States largely due to rapidly declining technology costs. The report,

  8. Sandia Energy - Energy Surety

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

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

  9. DC Microgrids Scoping Study: Estimate of Technical and Economic Benefits

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

    (March 2015) | Department of Energy Microgrids Scoping Study: Estimate of Technical and Economic Benefits (March 2015) DC Microgrids Scoping Study: Estimate of Technical and Economic Benefits (March 2015) Microgrid demonstrations and deployments have shown the ability of microgrids to provide higher reliability and higher power quality than utility power systems and improved energy utilization. The vast majority of these microgrids are based on AC power, but some manufacturers, power system

  10. Automated Estimating System

    Energy Science and Technology Software Center (OSTI)

    1996-04-15

    AES6.1 is a PC software package developed to aid in the preparation and reporting of cost estimates. AES6.1 provides an easy means for entering and updating the detailed cost, schedule information, project work breakdown structure, and escalation information contained in a typical project cost estimate through the use of menus and formatted input screens. AES6.1 combines this information to calculate both unescalated and escalated cost for a project which can be reported at varying levelsmore » of detail. Following are the major modifications to AES6.0f: Contingency update was modified to provide greater flexibility for user updates, Schedule Update was modified to provide user ability to schedule Bills of Material at the WBS/Participant/Cost Code level, Schedule Plot was modified to graphically show schedule by WBS/Participant/Cost Code, All Fiscal Year reporting has been modified to use the new schedule format, The Schedule 1-B-7, Cost Schedule, and the WBS/Participant reprorts were modified to determine Phase of Work from the B/M Cost Code, Utility program was modified to allow selection by cost code and update cost code in the Global Schedule update, Generic summary and line item download were added to the utility program, and an option was added to all reports which allows the user to indicate where overhead is to be reported (bottom line or in body of report)« less

  11. DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM

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

    DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsi- bility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would no! infringe privately owned rights. Refer- ence herein to any

  12. DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM

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

    Specification CFN IT hardware supply Summary of Technical Specification CFN IT hardware supply Approval Process Name Action Affiliation Author Chaumette C. 15 Mar 2016:signed IO/DG/COO/CIO/IT Co-Authors Decanis C. 15 Mar 2016:signed IO/DG/COO/CIO/IT Reviewers Rondinella E. 15 Mar 2016:recommended IO/DG/RCO/FPD/PCD/IPS Approver Klora J. 15 Mar 2016:approved IO/DG/COO/CIO/IT Document Security: Internal Use RO: Klora Joerg Read Access AD: Only-staff, AD: IO_Director-General, AD: EMAB, AD: IC Review

  13. DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM

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

    specification - CFN Network Hardware supply Summary of Technical specification - CFN Network Hardware supply Approval Process Name Action Affiliation Author Chaumette C. 15 Mar 2016:signed IO/DG/COO/CIO/IT Co-Authors Decanis C. Reboul T. 15 Mar 2016:signed 15 Mar 2016:signed IO/DG/COO/CIO/IT IO/DG/COO/CIO/IT Reviewers Rondinella E. 15 Mar 2016:recommended IO/DG/RCO/FPD/PCD/IPS Approver Klora J. 15 Mar 2016:approved IO/DG/COO/CIO/IT Document Security: Internal Use RO: Klora Joerg Read Access AD:

  14. Chapter 17: Estimating Net Savings: Common Practices

    SciTech Connect (OSTI)

    Violette, D. M.; Rathbun, P.

    2014-09-01

    This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.

  15. Sandia Energy Energy Assurance

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

    DOE International Energy Storage Database Has Logged 420 Energy Storage Projects Worldwide with 123 GW of Installed Capacity http:energy.sandia.govdoe-international-energy-stora...

  16. NREL: Energy Analysis - Janine Freeman

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

    Solar instrumentation PV energy production modeling Solar resource estimates Vertical axis wind turbine analysiswind tunnel experimentation PVsyst CAD modeling Campbell Scientific ...

  17. Radiator Labs | Department of Energy

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

    The New York State Energy Research & Development Authority estimates that 15 to 30 percent of the heat is wasted by overheating of steam buildings. Radiator Labs developed a ...

  18. Assessing Your Renewable Energy Resources

    Energy Savers [EERE]

    Screening Approach NATIONAL RENEWABLE ENERGY LABORATORY Solar Resource Screening Analysis All Solar ... with direct normal solar resource estimates derived from 10 km satellite data. ...

  19. International Energy Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Summarizes the overall structure of the International Energy Model and its interface with other NEMS modules, mathematical specifications of behavioral relationships, and data sources and estimation methods.

  20. Home Energy Score Research and Background | Department of Energy

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

    Research and Background Home Energy Score Research and Background With the goal of addressing the significant, and yet untapped, potential for saving energy in existing homes, the U.S. Department of Energy, in collaboration with the Lawrence Berkeley National Laboratory and the National Renewable Energy Laboratory, developed the Home Energy Score as a low cost and reliable method for estimating the energy use of a home and motivating investment in efficiency improvements. The Home Energy Score

  1. Department of Energy Announces Tougher Criteria for ENERGY STAR® Clothes

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

    Washers | Department of Energy Tougher Criteria for ENERGY STAR® Clothes Washers Department of Energy Announces Tougher Criteria for ENERGY STAR® Clothes Washers March 30, 2005 - 11:09am Addthis New Standards Estimated to Save Consumers over $52.8 Million Annually WASHINGTON, D.C. - In a continuing effort to improve America's energy conservation, the U.S. Department of Energy today announced more stringent criteria for clothes washers carrying the ENERGY STAR® label. The new, tougher

  2. Fact #663: February 21, 2011 Clean Cities Program Petroleum Displacement Estimates for 2009

    Broader source: Energy.gov [DOE]

    Each year, estimates are made of the amount of petroleum that is displaced by the efforts of the U.S. Department of Energy's Clean Cities Program. These estimates are based on data provided by...

  3. U.S. Energy Information Administration | State Energy Data 2013...

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

    Table P5A. Energy Production Estimates, Fossil Fuels and Nuclear Energy, in Trillion Btu, ...echnical-notes-complete.cfm Fossil Fuels Nuclear Electric Power Coal a Natural Gas b Crude ...

  4. U.S. Energy Information Administration | State Energy Data 2013...

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

    3 Purpose All of the estimates contained in the state energy consumption data tables are developed using the State Energy Data System (SEDS), which is main- tained and operated by ...

  5. Estimated recharge rates at the Hanford Site

    SciTech Connect (OSTI)

    Fayer, M.J.; Walters, T.B.

    1995-02-01

    The Ground-Water Surveillance Project monitors the distribution of contaminants in ground water at the Hanford Site for the U.S. Department of Energy. A subtask called {open_quotes}Water Budget at Hanford{close_quotes} was initiated in FY 1994. The objective of this subtask was to produce a defensible map of estimated recharge rates across the Hanford Site. Methods that have been used to estimate recharge rates at the Hanford Site include measurements (of drainage, water contents, and tracers) and computer modeling. For the simulations of 12 soil-vegetation combinations, the annual rates varied from 0.05 mm/yr for the Ephrata sandy loam with bunchgrass to 85.2 mm/yr for the same soil without vegetation. Water content data from the Grass Site in the 300 Area indicated that annual rates varied from 3.0 to 143.5 mm/yr during an 8-year period. The annual volume of estimated recharge was calculated to be 8.47 {times} 10{sup 9} L for the potential future Hanford Site (i.e., the portion of the current Site bounded by Highway 240 and the Columbia River). This total volume is similar to earlier estimates of natural recharge and is 2 to 10x higher than estimates of runoff and ground-water flow from higher elevations. Not only is the volume of natural recharge significant in comparison to other ground-water inputs, the distribution of estimated recharge is highly skewed to the disturbed sandy soils (i.e., the 200 Areas, where most contaminants originate). The lack of good estimates of the means and variances of the supporting data (i.e., the soil map, the vegetation/land use map, the model parameters) translates into large uncertainties in the recharge estimates. When combined, the significant quantity of estimated recharge, its high sensitivity to disturbance, and the unquantified uncertainty of the data and model parameters suggest that the defensibility of the recharge estimates should be improved.

  6. Researching Energy Use in Hospitals

    Broader source: Energy.gov [DOE]

    Historically, when hospital facility and energy managers have compared alternative energy efficiency investments for various end-use systems, their benchmarks have been limited to end-use estimates...

  7. State energy price and expenditure report 1994

    SciTech Connect (OSTI)

    1997-06-01

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

  8. 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

  9. Microsoft Word - NETL-TRS-1-2013_Geologic Storage Estimates for...

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

    ... Storage Estimates for Carbon Dioxide in Saline Formations G-2 Formation Percentile CSLF: ... Jared Ciferno Director Office of Coal and Power R&D National Energy Technology Laboratory ...

  10. Sandia Energy - Energy Assurance

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

    Energy Surety, Facilities, Global Climate & Energy, Grid Integration, Mesa del Sol, Microgrid, News, News & Events, Renewable Energy, SMART Grid, Solar Mesa del Sol Unveils First...

  11. Sandia Energy - Nuclear Energy

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

    Sandia's Brayton-Cycle Turbine Boosts Small Nuclear Reactor Efficiency Energy, Energy Efficiency, News, News & Events, Nuclear Energy Sandia's Brayton-Cycle Turbine Boosts Small...

  12. Sandia Energy Energy Storage

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

    Sandia Participates in Preparation of New Mexico Renewable Energy Storage Report http:energy.sandia.govsandia-participates-in-preparation-of-new-mexico-renewable-energy-storage-...

  13. Sandia Energy Energy Efficiency

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

    Sandia's Energy Program Wins Two Federal Laboratory Consortium 2015 Awards http:energy.sandia.govsandias-energy-program-wins-two-federal-laboratory-consortium-2015-awards...

  14. Residential Lighting Usage Estimate Tool, v1.0

    Broader source: Energy.gov [DOE]

    By improving our understanding of residential lighting-energy usage and quantifying it across many different parameters, the new study will be of use to anyone doing energy estimates – such as utilities, market and investment analysts, and government agencies. It will also help manufacturers design products that not only better serve consumers' needs, but that maximize the energy savings that technologies like SSL make possible.

  15. International energy annual 1996

    SciTech Connect (OSTI)

    1998-02-01

    The International Energy Annual presents an overview of key international energy trends for production, consumption, imports, and exports of primary energy commodities in over 220 countries, dependencies, and areas of special sovereignty. Also included are population and gross domestic product data, as well as prices for crude oil and petroleum products in selected countries. Renewable energy reported in the International Energy Annual includes hydroelectric power, geothermal, solar, and wind electric power, biofuels energy for the US, and biofuels electric power for Brazil. New in the 1996 edition are estimates of carbon dioxide emissions from the consumption of petroleum and coal, and the consumption and flaring of natural gas. 72 tabs.

  16. Supercooled liquid water Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2012-05-04

    The Cloud Supercooled liquid water Estimation Tool (SEET) is a user driven Graphical User Interface (GUI) that estimates cloud supercooled liquid water (SLW) content in terms of vertical column and total mass from Moderate resolution Imaging Supercooled liquid water Estimation Tool Spectroradiometer (MODIS) spatially derived cloud products and realistic vertical cloud parameterizations that are user defined. It also contains functions for post-processing of the resulting data in tabular and graphical form.

  17. Robust and intelligent bearing estimation

    DOE Patents [OSTI]

    Claassen, John P.

    2000-01-01

    A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.

  18. Monthly energy review, August 1995

    SciTech Connect (OSTI)

    1995-08-24

    Two brief articles are presented: measuring dependence on imported oil; and preliminary estimates of household energy consumption and expenditures in 1993. Then statistical tables are presented: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. Appendices present thermal conversion factors, metric and other physical conversion factors, CO{sub 2} emission factors for coal, and listing of previous articles. A glossary is also included.

  19. Sandia Energy - Nuclear Energy

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

    Over Five Years Computational Modeling & Simulation, Energy, News, News & Events, Nuclear Energy, Partnership, Systems Analysis Consortium for Advanced Simulation of...

  20. State energy price and expenditure report, 1995

    SciTech Connect (OSTI)

    1998-08-01

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.

  1. Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates

    SciTech Connect (OSTI)

    Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

    2012-12-01

    The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

  2. ARM Best Estimate Data (ARMBE) Products for Climate Science for a

    Office of Scientific and Technical Information (OSTI)

    Sustainable Energy Future (CSSEF) (Dataset) | Data Explorer Data Explorer Search Results ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF) Title: ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF) 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

  3. Short-Term Energy Outlook Model Documentation: Carbon Dioxide (CO2) Emissions Model

    Reports and Publications (EIA)

    2009-01-01

    Description of the procedures for estimating carbon dioxide emissions in the Short-Term Energy Outlook

  4. Mapping and Assessment of the United States Ocean Wave Energy Resource

    SciTech Connect (OSTI)

    Hagerman, G.; Scott, G.

    2011-12-01

    This project estimates the naturally available and technically recoverable U.S. wave energy resources.

  5. Examples of Cost Estimation Packages

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

    1997-03-28

    Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

  6. Ocean thermal energy conversion

    SciTech Connect (OSTI)

    Avery, W.H.

    1983-03-17

    A brief explanation of the Ocean Thermal Energy Conversion (OTEC) concept and an estimate of the amount of energy that can be produced from the ocean resource without introducing environmental concerns are presented. Use of the OTEC system to generate electric power and products which can replace fossil fuels is shown. The OTEC program status and its prospects for the future are discussed.

  7. Estimating demolition cost of plutonium buildings for dummies

    SciTech Connect (OSTI)

    Tower, S.E.

    2000-07-01

    The primary purpose of the Rocky Flats Field Office of the US Department of Energy is to decommission the entire plant. In an effort to improve the basis and the accuracy of the future decommissioning cost, Rocky Flats has developed a powerful but easy-to-use tool to determine budget cost estimates to characterize, decontaminate, and demolish all its buildings. The parametric cost-estimating tool is called the Facilities Disposition Cost Model (FDCM).

  8. Source term estimation during incident response to severe nuclear power

    Office of Scientific and Technical Information (OSTI)

    plant accidents (Technical Report) | SciTech Connect Source term estimation during incident response to severe nuclear power plant accidents Citation Details In-Document Search Title: Source term estimation during incident response to severe nuclear power plant accidents × 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 is provided as a public service. Visit OSTI to

  9. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) Estimation of Energy End-use Consumption CBECS 2012 - Release date: March 18, 2016 2012 CBECS The energy end-use consumption tables for the 2012 CBECS provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, computing (including servers), office equipment, and other uses. Although details vary by energy source, there are

  10. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 1 (Estimates in Btu or Physical Units) XLS Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 2 (Estimates

  11. NREL: Energy Analysis - Distributed Generation Energy Technology Capital

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

    Costs Bookmark and Share Distributed Generation Energy Technology Capital Costs Transparent Cost Database Button The following charts indicate recent capital cost estimates for distributed generation (DG) renewable energy technologies. The estimates are shown in dollars per installed kilowatt of generating capacity or thermal energy capacity for thermal technologies. The charts provide a compilation of available national-level cost data from a variety of sources. Costs in your specific

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

    Reports and Publications (EIA)

    2002-01-01

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

  13. Commercial Buildings | Department of Energy

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

    Science & Innovation » Energy Efficiency » Commercial Buildings Commercial Buildings At an estimated cost of $38 billion a year, lighting represents the largest source of electricity consumption in U.S. commercial buildings. A new breakthrough by the Energy Department's <a href="/node/712411">National Renewable Energy Lab</a> could help commercial buildings save on lighting and ventilation costs by improving the accuracy of motion detection. At an estimated cost of

  14. Model Year 2013 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2012-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  15. Model Year 2012 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2011-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  16. Model Year 2011 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2010-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  17. Property:PotentialOffshoreWindGeneration | Open Energy Information

    Open Energy Info (EERE)

    Property Type Quantity Description The estimated potential energy generation from Offshore Wind for a particular place. Use this type to express a quantity of energy. The...

  18. Statement from Secretary of Energy Samuel W. Bodman Regarding...

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

    EIA's Updated Annual Energy Outlook EIA Report Estimates Growth of U.S. Energy Economy Through 2040 German Technische Universitat Darmstadt Wins DOE's 2007 Solar Decathlon

  19. Trends in Commercial Buildings--Energy Sources Consumption Tables

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

    ** estimates adjusted to match the 1995 CBECS definition of target population Energy Information Administration Commercial Buildings Energy Consumption Survey Table 2....

  20. Property:PotentialEGSGeothermalGeneration | Open Energy Information

    Open Energy Info (EERE)

    Property Type Quantity Description The estimated potential energy generation from EGS Geothermal for a particular place. Use this type to express a quantity of energy. The...

  1. Energy End-Use Intensities in Commercial Buildings 1989

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

    1989 Energy End-Use Intensities Overview Full Report Tables National estimates and analysis of energy consumption by fuel (electricity, natural gas, fuel oil, and district...

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

    Open Energy Info (EERE)

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

  3. Annual Report on Federal Government Energy Management and Conservation...

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

    conducted by Federal agencies under: The energy management and energy consumption reduction requirements of ... in estimated project investment in FY 2008 (300.3 million ...

  4. Annual Report on Federal Government Energy Management and Conservation...

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

    conducted by Federal agencies under: The energy management and energy consumption reduction requirements of ... in estimated project investment in FY 2009 (400 million ...

  5. Energy Saving Potentials and Air Quality Benefits of Urban Heat...

    Office of Scientific and Technical Information (OSTI)

    Heat island mitigation is an effective air pollution control strategy, more than paying for itself in cooling energy cost savings. We estimate that the cooling energy savings in ...

  6. Manufacturing Consumption of Energy 1994 - Derived measures of...

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

    eialogo Calculation of MECS Energy Measures Reported energy values were used to construct several derived values, which, in turn, were used to prepare the estimates appearing in...

  7. Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings

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

    Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings J. Woods, J. Winkler, and D. Christensen National Renewable Energy Laboratory Technical Report NREL/TP-5500-57441 January 2013 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401

  8. Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water

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

    Heaters | Department of Energy Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's energy efficiency is determined by the energy factor (EF), which is based on the amount of hot water produced per unit of fuel consumed over a typical day. The higher the energy factor, the more efficient the water heater. A water heater's energy efficiency is determined by the energy factor (EF),

  9. Module: Estimating Historical Emissions from Deforestation |...

    Open Energy Info (EERE)

    Website: www.leafasia.orgtoolstechnical-guidance-series-estimating-historical Cost: Free Language: English Module: Estimating Historical Emissions from Deforestation Screenshot...

  10. EnergyPlus Overcomes (Computer) Language Barrier | Department of Energy

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

    Department of Energy Estimate energy and cost savings for energy- and water-efficient product categories using these interactive calculators provided by the Federal Energy Management Program or ENERGY STAR. Commercial Heating and Cooling Air-Cooled Chillers Boilers Commercial Heat Pumps Commercial Rooftop Air Conditioners Residential Heating and Cooling Air-Source Heat Pumps Central Air Conditioners Electric and Gas Water Heaters Gas Furnaces Solar Hot Water Systems IT and Electronics

  11. Energy Department and Environmental Protection Agency Release...

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

    U.S. Energy Department and the Environmental Protection Agency (EPA) today released a new label that features EPA fuel economy estimates and CO2 estimates for used vehicles sold...

  12. TRENDS IN ESTIMATED MIXING DEPTH DAILY MAXIMUMS

    SciTech Connect (OSTI)

    Buckley, R; Amy DuPont, A; Robert Kurzeja, R; Matt Parker, M

    2007-11-12

    Mixing depth is an important quantity in the determination of air pollution concentrations. Fireweather forecasts depend strongly on estimates of the mixing depth as a means of determining the altitude and dilution (ventilation rates) of smoke plumes. The Savannah River United States Forest Service (USFS) routinely conducts prescribed fires at the Savannah River Site (SRS), a heavily wooded Department of Energy (DOE) facility located in southwest South Carolina. For many years, the Savannah River National Laboratory (SRNL) has provided forecasts of weather conditions in support of the fire program, including an estimated mixing depth using potential temperature and turbulence change with height at a given location. This paper examines trends in the average estimated mixing depth daily maximum at the SRS over an extended period of time (4.75 years) derived from numerical atmospheric simulations using two versions of the Regional Atmospheric Modeling System (RAMS). This allows for differences to be seen between the model versions, as well as trends on a multi-year time frame. In addition, comparisons of predicted mixing depth for individual days in which special balloon soundings were released are also discussed.

  13. Leasing of Department of Energy Property | Department of Energy

    Energy Savers [EERE]

    Energy Learning is Now Much 'Cooler' for Maryland School Students Learning is Now Much 'Cooler' for Maryland School Students September 21, 2010 - 4:30pm Addthis Ring Factory Elementary School has installed a new ENERGY STAR-rated "cool" roof that is estimated to be 57 percent more energy efficient than the previous roof. | U.S. Department of Energy Ring Factory Elementary School has installed a new ENERGY STAR-rated "cool" roof that is estimated to be 57 percent more

  14. Sandia Energy - Nuclear Energy

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

    Computer Power Clicks with Geochemistry Energy, News, News & Events, Nuclear Energy Computer Power Clicks with Geochemistry Sandia is developing computer models that show how...

  15. Department of Energy - Energy Tomorrow

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

    25 en Indian Energy Blog Archive http:energy.govindianenergylistingsindian-energy-blog-archive energy-blog-archive"...

  16. Estimates of Green potentials. Applications

    SciTech Connect (OSTI)

    Danchenko, V I

    2003-02-28

    Optimal Cartan-type covers by hyperbolic discs of carriers of Green {alpha}-potentials are obtained in a simply connected domain in the complex plane and estimates of the potentials outside the carriers are presented. These results are applied to problems on the separation of singularities of analytic and harmonic functions. For instance, uniform and integral estimates in terms of Green capacities of components of meromorphic functions are obtained.

  17. CBECS 2012: Energy Usage Summary

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

    2012 Commercial Buildings Energy Consumption Survey: Energy Usage Summary CBECS 2012 - Release date: March 18, 2016 Despite a 14% increase in total buildings and a 22% increase in total floorspace since 2003, energy use in the estimated 5.6 million U.S. commercial buildings was up just 7% during the same period, according to new analysis from the 2012 Commercial Buildings Energy Consumption Survey (CBECS). Slower growth in commercial building energy demand since 2003 is explained in part by

  18. NREL: Energy Analysis - Greg Brinkman

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

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

  19. Energy Information Administration - Energy Efficiency, energy...

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

    Efficiency Energy Efficiency energy consumption savings households, buildings, industry & vehicles The Energy Efficiency Page reflects EIA's information on energy efficiency and...

  20. Energy Assurance

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

    Permalink Hoboken Hopes To Reduce Power Outages With New 'Smart Grid' System Energy, Energy Assurance, Energy Storage, Energy Storage Systems, Energy Surety, Grid Integration, ...

  1. Aquion Energy

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

    Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage ...

  2. Energy Research

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

    Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency ...

  3. State energy price and expenditure report 1989

    SciTech Connect (OSTI)

    Not Available

    1991-09-30

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

  4. GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process

    Energy Savers [EERE]

    GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define

  5. Sandia Energy - Estimating Device or System Probability of Failure

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

    Darts offers at least an order of magnitude improvement over the common alternative, Latin Hypercube Sampling, in terms of the number of simulations needed to obtain the same...

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

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

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

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

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

    Esmang R enewable E nergy Economic Potenal in the United States: M ethodology a nd I nial Results Ausn B rown, P hilipp B eiter, D onna H eimiller, C arolyn Davidson, P aul D...

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

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

    ... up to half the project value, or reduce project capital ... signifies that the risk assessment outcome changes ... they do not use back into the grid" for utility credit. ...

  9. NREL Releases Estimate of National Offshore Wind Energy Potential...

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

    of wind turbines could be placed in every square kilometer of water that met these wind characteristics. Detailed resource maps and tables for 26 coastal states' (ocean and ...

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

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

    identify off-takers, partners, vendors Step 3 REFINEMENT - Planning and Development: Finalize finance, economic assumptions and roles, interconnection and offtake agreements, ...

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

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

    to projects that the private sector may not finance * Good AK Agencies to Know and Follow - AEA, AHFC, Rural Development, HUD, EPA, DOI, DOE Private Money * Requires good ...

  12. Estimating Demand Response Market Potential | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentestimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible...

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

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

    ... flashlights, machine vision, museum or art gallery display lighting, architectural ... shaped neon-tube channel letter signs, reverse channel letters, and border lighting. ...

  14. Best Energy | Open Energy Information

    Open Energy Info (EERE)

    Best Energy Place: Italy Sector: Renewable Energy Product: Italy-based energy company engaged in the development of renewable energy projects. References: Best Energy1 This...

  15. Vision Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Vision Energy Place: Cincinnati, Ohio Zip: 45227 Sector: Wind energy Product: Vision Energy focuses on wind energy development and...

  16. Helium Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Helium Energy Place: Spain Sector: Renewable Energy Product: Spain-based renewable energy development company. References: Helium Energy1...

  17. Semplice Energy | Open Energy Information

    Open Energy Info (EERE)

    Semplice Energy Jump to: navigation, search Name: Semplice Energy Place: Reading, United Kingdom Sector: Efficiency, Renewable Energy Product: Semplice Energy is an energy...

  18. Weldon Spring historical dose estimate

    SciTech Connect (OSTI)

    Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.

    1986-07-01

    This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.

  19. Tax Credits, Rebates & Savings | Department of Energy

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

    exceed Title 24 or minimum industry standards. Custom incentives are based on estimation software that determines the energy savings for each project. Prior to beginning the...

  20. Static Temperature Survey | Open Energy Information

    Open Energy Info (EERE)

    2003. Estimation of static formation temperatures in geothermal wells. Energy conversion and management. 44(8):1343-1355. Page Area Activity Start Date Activity...

  1. Tax Credits, Rebates & Savings | Department of Energy

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

    a walk-through of the premise and a report on energy saving opportunities, and estimated costs... Eligibility: Commercial, Industrial, Local Government, Nonprofit, Schools, State...

  2. Tax Credits, Rebates & Savings | Department of Energy

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

    Title 24 or minimum industry standards. Custom incentives are based on estimation software that determines the energy savings for each project. Prior to beginning the project,...

  3. Systems Advisor Model | Department of Energy

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

    Systems Advisor Model (SAM) makes performance predictions and cost of energy estimates for grid-connected power projects based on installation and operating costs and system design ...

  4. Tax Credits, Rebates & Savings | Department of Energy

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

    tool that assesses a home's energy consumption, estimated utility costs and carbon impact. The EPS allows... Eligibility: Construction, Residential, InstallersContractors, Low...

  5. Sedimentary Geothermal Systems | Open Energy Information

    Open Energy Info (EERE)

    Heat Pumps Sedimentary Geothermal Links Related documents and websites Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States...

  6. Tax Credits, Rebates & Savings | Department of Energy

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

    of energy saving measures, equipment, or systems that exceed Title 24 or minimum industry standards. Custom incentives are based on estimation software that determines the...

  7. Tax Credits, Rebates & Savings | Department of Energy

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

    tool that assesses a home's energy consumption, estimated utility costs and carbon impact. The EPS allows... Eligibility: Construction, Residential, InstallersContractors,...

  8. US Energy Sector Vulnerabilities to Climate Change

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

    ... Cambridge Energy Research Associates (IHS CERA 2010) similarly estimates that by 2030, ... Cambridge: Cambridge University Press. http:amap.noacia. AMS (American Meteorological ...

  9. State energy price and expenditure report 1991

    SciTech Connect (OSTI)

    Not Available

    1993-09-01

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

  10. U.S. Energy Information Administration (EIA)

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

    winter season is less than half of the percentage through February 20 of the previous winter season, according to calculations with estimates from BENTEK Energy, LLC (Bentek)....

  11. LED Directional Lamps | Department of Energy

    Energy Savers [EERE]

    Directional Lamps LED Directional Lamps BTP EERE Solid-State Lighting Program PDF icon leddirectionallamps.pdf More Documents & Publications Energy Savings Estimates of Light ...

  12. Tools | Department of Energy

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

    Information Resources » Tools Tools Below are links to tools that assist users with project planning and analysis. Spectrally Enhanced Lighting Spectrally Enhanced Lighting (SEL) is a cost-effective, low-risk design method for achieving significant energy savings by shifting lamp color from the warmer to the cooler (whiter) end of the color spectrum, more closely matching daylight. Residential Lighting Usage Estimate Tool The Residential Lighting Usage Estimate Tool is a companion to the

  13. EIA Corrects Errors in Its Drilling Activity Estimates Series

    Reports and Publications (EIA)

    1998-01-01

    The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status.

  14. EIA Completes Corrections to Drilling Activity Estimates Series

    Reports and Publications (EIA)

    1999-01-01

    The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status.

  15. Geothermal Energy Projects | Department of Energy

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

    Geothermal Energy Projects Geothermal Energy Projects Geothermal Energy Projects Geothermal Energy Projects Geothermal Energy Projects Geothermal Energy Projects Geothermal Energy ...

  16. Energy Performance Score Report

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

    PERFORMANCE SCORE $787 10.7 tons/yr 43,000 kWhe/yr Reference Number: Electric: Natural Gas: Electric: Natural Gas: Carbon Carbon Score Energy Score *See Recommended Upgrades *See Recommended Upgrades †With energy from renewable sources This score measures the estimated total energy use (electricity, natural gas, propane, heating oil) of this home for one year. The lower the score, the less energy required for normal use. Actual consumption and costs may vary. Measured in kilowatt hours per

  17. CONTROLLED DOCUMENT OFFICE OF PRIMARY INTEREST (OPI): AVAILABLE ONLINE AT: Office of Cost Estimating and Program Evaluation

    National Nuclear Security Administration (NNSA)

    Cost Estimating and Program Evaluation http://nnsa.energy.gov printed copies are uncontrolled NNSA POLICY LETTER Approved: 2-24-16 Responsibilities for Independent Cost Estimates NATIONAL NUCLEAR SECURITY ADMINISTRATION Office of Cost Estimating and Program Evaluation NAP-28 THIS PAGE INTENTIONALLY LEFT BLANK NAP-28 1 2-24-16 RESPONSIBILITIES FOR INDEPENDENT COST ESTIMATES 1. PURPOSE. To establish policy and responsibilities for conducting Independent Cost Estimates (ICEs) and Independent Cost

  18. Energy Department Announces $10 Million for Innovative, Energy...

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

    an estimated energy savings of 1.8 billion in 2013. Solid-state lighting technologies, which include both LED and organic light emitting diode technologies, have the potential to ...

  19. 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...

  20. Renewable energy annual 1995

    SciTech Connect (OSTI)

    1995-12-01

    The Renewable Energy Annual 1995 is the first in an expected series of annual reports the Energy Information Administration (EIA) intends to publish to provide a comprehensive assessment of renewable energy. This report presents the following information on the history, status, and prospects of renewable energy data: estimates of renewable resources; characterizations of renewable energy technologies; descriptions of industry infrastructures for individual technologies; evaluations of current market status; and assessments of near-term prospects for market growth. An international section is included, as well as two feature articles that discuss issues of importance for renewable energy as a whole. The report also contains a number of technical appendices and a glossary. The renewable energy sources included are biomass (wood), municipal solid waste, biomass-derived liquid fuels, geothermal, wind, and solar and photovoltaic.

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

    Gasoline and Diesel Fuel Update (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 ...

  2. Energy Savings Mortgage Incentive for Existing Homes

    Broader source: Energy.gov [DOE]

    A homeowner must have an initial Home Energy Score and select improvements with the Qualified Assessor. The Qualified Assessor will provide an estimated Home Energy Score based on selected...

  3. Mandatory Photovoltaic System Cost Estimate

    Broader source: Energy.gov [DOE]

    If the customer has a ratio of estimated monthly kilowatt-hour (kWh) usage to line extension mileage that is less than or equal to 1,000, the utility must provide the comparison at no cost. If the...

  4. Houston Transforming with Solar Energy | Department of Energy

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

    Control | Department of Energy PDF icon hot_rolling.pdf More Documents & Publications ITP Aluminum: Aluminum Industry Roadmap for the Automotive Market (May 1999) Vehicle Technologies Office: 2012 Lightweight Materials R&D Annual Progress Report ITP Aluminum: Aluminum Industry Technology Roadmap

    Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy What are the key facts? Bernie estimates he saves anywhere from $300,000 to $400,000

  5. Grid Energy Storage - December 2013 | Department of Energy

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

    Grid Energy Storage - December 2013 Grid Energy Storage - December 2013 Modernizing the electric grid will help the nation meet the challenge of handling projected energy needs-including addressing climate change by relying on more energy from renewable sources-in the coming decades, while maintaining a robust and resilient electricity delivery system. By some estimates, the United States will need somewhere between 4 and 5 tera kilowatt-hours of electricity annually by 2050. Those planning and

  6. Residential Energy Consumption Survey (RECS) - U.S. Energy Information

    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

  7. Sandia Energy Transportation Energy

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

    c-liquids-create-more-sustainable-processesfeed 0 DOE Joint BioEnergy Institute Joins Elite '100500 Club' http:energy.sandia.govdoe-joint-bioenergy-institute-joins-elite-1005...

  8. Sandia Energy Renewable Energy

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

    c-liquids-create-more-sustainable-processesfeed 0 DOE Joint BioEnergy Institute Joins Elite '100500 Club' http:energy.sandia.govdoe-joint-bioenergy-institute-joins-elite-1005...

  9. Energy 101: Energy Efficient Commercial Buildings | Department of Energy

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

    Energy Efficient Commercial Buildings Energy 101: Energy Efficient Commercial Buildings

  10. Fostering Growth | Department of Energy

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

    Despite this upward trend, solar energy is only 1% of the current U.S. electricity supply. The SunShot Vision Study says that cost-competitive solar has an estimated potential to ...

  11. Manufacturing Consumption of Energy 1994

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

    A9. Total Inputs of Energy for Heat, Power, and Electricity Generation by Fuel Type, Census Region, and End Use, 1994: Part 1 (Estimates in Btu or Physical Units) See footnotes at...

  12. Energy 101: Geothermal Energy | Department of Energy

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

    Geothermal Energy Energy 101: Geothermal Energy Addthis Description See how we can generate clean, renewable energy from hot water sources deep beneath the Earth's surface. The video highlights the basic principles at work in geothermal energy production, and illustrates three different ways the Earth's heat can be converted into electricity. Topic Geothermal Text Version Below is the text version for the Energy 101: Geothermal Energy video. The words "Energy 101: Geothermal Energy"

  13. Transportation Energy

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

    Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering ...

  14. Energy Planning

    Energy Savers [EERE]

    Energy Planning Agenda * What is energy planning? * The process * The plan * Strategic Energy Planning (SEP) Workbook * Other resources 2 What is Energy Planning? * Brings desired ...

  15. Estimates and Recommendations for Coincidence Geometry (Technical...

    Office of Scientific and Technical Information (OSTI)

    Estimates and Recommendations for Coincidence Geometry Citation Details In-Document Search Title: Estimates and Recommendations for Coincidence Geometry You are accessing a...

  16. GETEM Development | Department of Energy

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

    Energy A guide to providing input to GETEM, the Geothermal Electricity Technology Evaluation Model. GETEM is designed to help the Geothermal Technologies Program of the U.S. Department of Energy in estimating some of the technical and economic values of its research projects and subprograms. The tool is intended to estimate and summarize the performance and cost of various geothermal electric power systems at geothermal reservoirs with a wide variety of physical characteristics. PDF icon

  17. Bandwidth Study on Energy Use and Potential Energy Saving Opportunities in U.S. Chemical Manufacturing

    SciTech Connect (OSTI)

    Sabine Brueske, Caroline Kramer, Aaron Fisher

    2015-06-01

    Energy bandwidth studies of U.S. manufacturing sectors can serve as foundational references in framing the range (or bandwidth) of potential energy savings opportunities. This bandwidth study examines energy consumption and potential energy savings opportunities in U.S. chemical manufacturing. The study relies on multiple sources to estimate the energy used in the production of 74 individual chemicals, representing 57% of sector-wide energy consumption. Energy savings opportunities for individual chemicals and for 15 subsectors of chemicals manufacturing are based on technologies currently in use or under development; these potential savings are then extrapolated to estimate sector-wide energy savings opportunity.

  18. Bandwidth Study on Energy Use and Potential Energy Savings Opportunities in U.S. Petroleum Refining

    SciTech Connect (OSTI)

    Sabine Brueske, Caroline Kramer, Aaron Fisher

    2015-06-01

    Energy bandwidth studies of U.S. manufacturing sectors can serve as foundational references in framing the range (or bandwidth) of potential energy savings opportunities. This bandwidth study examines energy consumption and potential energy savings opportunities in U.S. petroleum refining. The study relies on multiple sources to estimate the energy used in nine individual process areas, representing 68% of sector-wide energy consumption. Energy savings opportunities for individual processes are based on technologies currently in use or under development; these potential savings are then extrapolated to estimate sector-wide energy savings opportunity.

  19. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    SciTech Connect (OSTI)

    Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

    2011-09-15

    We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios – one with no farmland included, the other with all farmland included. Under the “no farmland included” case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the “all farmland included” case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

  20. Solar Energy

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

    Energy - 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 Energy

  1. Energy Research

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

    Education | Department of Energy Energy Literacy: Essential Principles and Fundamental Concepts for Energy Education Energy Literacy: Essential Principles and Fundamental Concepts for Energy Education Energy Literacy: Essential Principles and Fundamental Concepts for Energy Education News and Updates Check out our new Energy Literacy video series! The Energy Literacy Framework is also available in Spanish: Conocimiento de Energía. What is Energy Literacy? Energy Literacy is an understanding

  2. Solgal Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Logo: Solgal Energy Name: Solgal Energy Address: Israel Place: Alon Hagalil Zip: 17920 Product: Renewable energy solutions Year Founded: 2008...

  3. Energy News | Department of Energy

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

    2015 Energy Department Announces Six Clean Energy Projects through Partnership with Israel U.S. Department of Energy and Israel's Ministry of National Infrastructure, Energy and...

  4. Solar Energy | Department of Energy

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

    Energy Resource Library Solar Energy Solar Energy Below are resources for Tribes on solar energy technologies. A Guide to Community Solar: Utility, Private, and Nonprofit ...

  5. Conexia Energy | Open Energy Information

    Open Energy Info (EERE)

    Conexia Energy Jump to: navigation, search Name: Conexia Energy Place: Aix-en-Provence, France Zip: 13857 Sector: Renewable Energy Product: French renewable energy consulting and...

  6. Raz Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Raz Energy Place: Carolles, France Zip: 50740 Sector: Renewable Energy Product: Carolles-based renewable energy consultancy and project...

  7. Simple Energy | Open Energy Information

    Open Energy Info (EERE)

    Summary LAUNCH TOOL Name: Simple Energy AgencyCompany Organization: Simple Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Softwaremodeling tools User...

  8. Energy Insight | Open Energy Information

    Open Energy Info (EERE)

    Energy Insight Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Insight AgencyCompany Organization: Tendril Connect Sector: Energy Focus Area: Energy Efficiency...

  9. JMB Energie | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: JMB Energie Place: Marseilles, France Sector: Solar, Wind energy Product: JMB Energie is producer of green energy primarily through the...

  10. Energy Efficiency | Department of Energy

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

    Energy Efficiency Energy Efficiency Below are resources for Tribes on energy efficiency. ... Source: Northwest SEED. Home and Building Technologies Basics Learn about energy ...

  11. Land Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Land Energy Place: North Yorkshire, United Kingdom Zip: YO62 5DQ Sector: Biomass, Renewable Energy Product: A renewable-energy company...

  12. EVZA Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: EVZA Energy Place: Germany Sector: Renewable Energy Product: Waste disposal comapany involved with renewable energy in the form of...

  13. Also Energy | Open Energy Information

    Open Energy Info (EERE)

    Also Energy Jump to: navigation, search Logo: Also Energy Name: Also Energy Address: PO Box 17877 Place: Boulder, Colorado Zip: 80308 Region: Rockies Area Product: Renewable Energy...

  14. Leonardo Energy | Open Energy Information

    Open Energy Info (EERE)

    Area: Energy Efficiency, Renewable Energy, Transportation Resource Type: Webinar, Training materials Website: www.leonardo-energy.org References: Leonardo Energy 1 "Leonardo...

  15. Nature Energie | Open Energy Information

    Open Energy Info (EERE)

    Nature Energie Jump to: navigation, search Name: Nature Energie Place: France Sector: Solar, Wind energy Product: French developer of wind and solar energy projects. References:...

  16. Healthcare Energy: Spotlight on Chiller Plants | Department of Energy

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

    Chiller Plants Healthcare Energy: Spotlight on Chiller Plants The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. See below for a few highlights from monitoring chiller plant energy. Image of a chiller plant. Chiller Energy Annual site energy use intensities (EUIs) for chiller energy were estimated to be 27.7 kBtu/ft2-yr for the the Massachusetts General Hospital (MGH) Gray Building and 26.8 kBtu/ft2-yr for the State

  17. Home Energy Score: Information for Homeowners | Department of Energy

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

    Homeowners Home Energy Score: Information for Homeowners The Home Energy Score is a quick, low-cost way for you to learn about your home's energy performance and see how it compares to others in the area or nationwide. It also provides homeowners with recommendations for energy upgrades as well as an estimate of how these improvements can reduce utility bills and improve the Score. How does the Home Energy Score compare to other types of home energy assessments and audits? To produce a Home

  18. US energy outlook: 1981

    SciTech Connect (OSTI)

    Linden, H.R.

    1981-01-01

    This study examines new perceptions of the US energy picture through the year 2000. US energy consumption has been relatively stable since the 1973 oil embargo in terms of demand by both fuel type and sector. Total consumption has temporarily flattened out in the 75 to 80 quads range, because of high price elasticity of demand operating during a period of rapidly escalating real costs for most energy commodities, compounded by structural changes in the US economy. Only coal use shows a consistent upward trend among major primary energy sources. The share of primary energy consumption used for electric power generation shows the only clear upward trend in the sectoral demands. The consensus opinion is that primary energy consumption in the US by the year 2000 will be in the range of 90 to 100 quads. Estimates of fossil fuel supplies to meet this level of demand are presented.

  19. Duke Energy

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

    Duke Energy - U.S. Operations 55 % 38 % Franchised Electric & Gas Duke Energy Renewables 2

  20. Potential Water and Energy Savings from Showerheads

    SciTech Connect (OSTI)

    Biermayer, Peter J.

    2005-09-28

    This paper estimates the benefits and costs of six water reduction scenarios. Benefits and costs of showerhead scenarios are ranked in this paper by an estimated water reduction percentage. To prioritize potential water and energy saving scenarios regarding showerheads, six scenarios were analyzed for their potential water and energy savings and the associated dollar savings to the consumer.

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

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

    Information Administration (EIA) Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2013 (Trillion Btu) Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2013 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d

  2. Steel Industry Energy Bandwidth Study

    SciTech Connect (OSTI)

    none,

    2004-10-01

    ITP conducted a study on energy use and potential savings, or "bandwidth" study, in major steelmaking processes. Intended to provide a realistic estimate of the potential amount of energy that can be saved in an industrial process, the "bandwidth" refers to the difference between the amount of energy that would be consumed in a process using commercially available technology versus the minimum amount of energy needed to achieve those same results based on the 2nd law of thermodynamics. The Steel Industry Energy Bandwidth Study (PDF133 KB) also estimates steel industry energy use in the year 2010, and uses that value as a basis for comparison against the minimum requirements. This energy savings opportunity for 2010 will aid focus on longer term R&D.

  3. Guidelines for Estimating Unmetered Landscapting Water Use

    SciTech Connect (OSTI)

    None

    2010-07-30

    Guidance to help Federal agencies estimate unmetered landscaping water use as required by Executive Order 13514

  4. Verification of unfold error estimates in the unfold operator code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1997-01-01

    Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

  5. Estimated Carbon Dioxide Emissions in 2008: United States

    SciTech Connect (OSTI)

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

    2011-04-01

    Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.

  6. Sandia Energy Energy Surety

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

    efforts-during-recent-houston-press-conferencefeed 0 Recent Sandia Secure, Scalable Microgrid Advanced Controls Research Accomplishments http:energy.sandia.gov...

  7. Sandia Energy Wind Energy

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

    ss-voucher-pilot-opensfeed 0 Sandia Wake-Imaging System Successfully Deployed at Scaled Wind Farm Technology Facility http:energy.sandia.govsandia-wake-imaging-system-successf...

  8. Sandia Energy Energy Assurance

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

    Sandian's Receive Hydrogen and Fuel Cell Program Achievement Award http:energy.sandia.govsandians-receive-hydrogen-and-fuel-cell-program-achievement-award-2 http:...

  9. Sandia Energy Nuclear Energy

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

    afety-expert-elected-to-national-academy-of-engineeringfeed 0 Sandia Teaches Nuclear Safety Course http:energy.sandia.govsandia-teaches-nuclear-safety-course http:...

  10. Parameter estimation with Sandage-Loeb test

    SciTech Connect (OSTI)

    Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin E-mail: jfzhang@mail.neu.edu.cn

    2014-12-01

    The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2 ∼< z ∼< 5 by detecting redshift drift in the spectra of Lyman-α forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the ΛCDM, the wCDM, and the w{sub 0}w{sub a}CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between Ω{sub m} and H{sub 0} in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on Ω{sub m} and H{sub 0} by more than 60% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant w by about 25%, and improve the constraints on w{sub 0} and w{sub a} by about 20% and 15%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of Ω{sub m}, H{sub 0}, and w{sub a} by more than 70%, 20%, and 60%, respectively, for the w{sub 0}w{sub a}CDM model.

  11. Energy Research

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

    5 - 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 Energy Nuclear

  12. Energy Storage

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

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  13. Energy Storage

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

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  14. Energy Storage

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

    4 - 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 Energy Nuclear

  15. Energy Storage

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

    5 - 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 Energy Nuclear

  16. Energy Surety

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

    - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency 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 Energy Nuclear

  17. Wind Energy

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

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  18. Nuclear Energy

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

    - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency 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 Energy Nuclear

  19. Energy Efficiency

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

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  20. Energy Efficiency

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

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  1. Energy Efficiency

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

    4 - 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 Energy Nuclear

  2. Energy Efficiency

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

    5 - 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 Energy Nuclear

  3. Energy Efficiency

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

    Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency 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 Energy Nuclear

  4. Energy Research

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

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  5. Energy Staff

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

    Staff - 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 Energy

  6. Renewable Energy

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

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  7. Renewable Energy

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

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion 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 Energy Nuclear

  8. Minnesota Energy Resources (Gas)- Commercial and Industrial Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    MER also provides rebates to commercial and industrial customers for an energy audit which provides a walk-through of the premise and a report on energy saving opportunities, and estimated costs...

  9. Oil Shale Market is Estimated to Reach USD 7,400.70 Million by...

    Open Energy Info (EERE)

    Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor 1 July, 2015...

  10. Oil Spill Management Market is Estimated to Reach USD 114,441...

    Open Energy Info (EERE)

    Oil Spill Management Market is Estimated to Reach USD 114,441.1 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor...

  11. Systematic Review and Harmonization of Life Cycle GHG Emission Estimates for Electricity Generation Technologies (Presentation)

    SciTech Connect (OSTI)

    Heath, G.

    2012-06-01

    This powerpoint presentation to be presented at the World Renewable Energy Forum on May 14, 2012, in Denver, CO, discusses systematic review and harmonization of life cycle GHG emission estimates for electricity generation technologies.

  12. U.S. Energy Information Administration | State Energy Data 2013...

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

    State Energy Data 2013: Production 2 Table P2. Energy Production Estimates in Trillion Btu, 2013 Alabama 469.2 211.8 60.3 426.5 0.0 295.8 295.8 1,463.5 Alaska 24.9 379.9 1,090.1 ...

  13. Energy 101: Geothermal Energy

    ScienceCinema (OSTI)

    None

    2014-06-23

    See how we can generate clean, renewable energy from hot water sources deep beneath the Earth's surface. The video highlights the basic principles at work in geothermal energy production, and illustrates three different ways the Earth's heat can be converted into electricity.

  14. Energy 101: Geothermal Energy

    SciTech Connect (OSTI)

    2014-05-27

    See how we can generate clean, renewable energy from hot water sources deep beneath the Earth's surface. The video highlights the basic principles at work in geothermal energy production, and illustrates three different ways the Earth's heat can be converted into electricity.

  15. Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report

    Weekly Natural Gas Storage Report (EIA)

    U.S. Energy Information Administration | Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report 1 February 2016 Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report The U.S. Energy Information Administration (EIA) collects and publishes natural gas storage information on a monthly and weekly basis. The Form EIA-191, Monthly Underground Natural Gas Storage Report, is a census survey that collects field-level

  16. Radiological Source Term Estimates for the February 14, 2014 WIPP Release

    Energy Savers [EERE]

    Event | Department of Energy Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event This document was used to determine facts and conditions during the Department of Energy Accident Investigation Board's investigation into the radiological release event at the Waste Isolation Pilot Plant. The Technical Assessment Team (TAT) has undertaken a deliberative investigation process to understand

  17. Report Reviews Estimates of Costs and Benefits of Compliance with Renewable

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

    Portfolio Standards to Date - News Releases | NREL Report Reviews Estimates of Costs and Benefits of Compliance with Renewable Portfolio Standards to Date May 30, 2014 A new report, prepared by analysts from the Energy Department's National Renewable Energy Laboratory (NREL) and Lawrence Berkeley National Laboratory (LBNL), reviews estimates of the costs and benefits of compliance with Renewable Portfolio Standards (RPS) in the United States and explores how costs and benefits may evolve

  18. Energy Sources | Department of Energy

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

    Sources Energy Sources Renewable Energy Renewable Energy Learn more about energy from solar, wind, water, geothermal and biomass. Read more Nuclear Nuclear Learn more about how we use nuclear energy. Read more Electricity Electricity Learn more about how we use electricity as an energy source. Read more Fossil Fossil Learn more about our fossil energy sources: coal, oil and natural gas. Read more Primary energy sources take many forms, including nuclear energy, fossil energy -- like oil, coal

  19. Energy 101 | Department of Energy

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

    Literacy » Energy 101 Energy 101 What is the Energy 101 Initiative? The Energy 101 Dialogue Series: Dialogue #1: Energy in the Classroom Webinar Slides Increasing opportunities for students learning about energy in the Nation's two-year and four-year colleges and universities The Energy 101 initiative is an effort to support energy education in the post-secondary setting to increase students' opportunities to enter the energy workforce, ensuring that the Nation excels in energy research and

  20. Model Year 2016 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2015-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  1. Model Year 2014 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2013-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  2. Model Year 2015 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2014-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  3. Model Year 2007 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2007-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  4. Model Year 2010 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2009-10-14

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  5. Model Year 2009 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2008-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  6. Model Year 2005 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2004-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  7. Model Year 2008 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2007-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  8. Model Year 2006 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2005-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  9. LHC Physics Potential versus Energy

    SciTech Connect (OSTI)

    Quigg, Chris; /Fermilab

    2009-08-01

    Parton luminosities are convenient for estimating how the physics potential of Large Hadron Collider experiments depends on the energy of the proton beams. I present parton luminosities, ratios of parton luminosities, and contours of fixed parton luminosity for gg, u{bar d}, and qq interactions over the energy range relevant to the Large Hadron Collider, along with example analyses for specific processes.

  10. FUZZY SUPERNOVA TEMPLATES. II. PARAMETER ESTIMATION

    SciTech Connect (OSTI)

    Rodney, Steven A.; Tonry, John L. E-mail: jt@ifa.hawaii.ed

    2010-05-20

    Wide-field surveys will soon be discovering Type Ia supernovae (SNe) at rates of several thousand per year. Spectroscopic follow-up can only scratch the surface for such enormous samples, so these extensive data sets will only be useful to the extent that they can be characterized by the survey photometry alone. In a companion paper we introduced the Supernova Ontology with Fuzzy Templates (SOFT) method for analyzing SNe using direct comparison to template light curves, and demonstrated its application for photometric SN classification. In this work we extend the SOFT method to derive estimates of redshift and luminosity distance for Type Ia SNe, using light curves from the Sloan Digital Sky Survey (SDSS) and Supernova Legacy Survey (SNLS) as a validation set. Redshifts determined by SOFT using light curves alone are consistent with spectroscopic redshifts, showing an rms scatter in the residuals of rms{sub z} = 0.051. SOFT can also derive simultaneous redshift and distance estimates, yielding results that are consistent with the currently favored {Lambda}CDM cosmological model. When SOFT is given spectroscopic information for SN classification and redshift priors, the rms scatter in Hubble diagram residuals is 0.18 mag for the SDSS data and 0.28 mag for the SNLS objects. Without access to any spectroscopic information, and even without any redshift priors from host galaxy photometry, SOFT can still measure reliable redshifts and distances, with an increase in the Hubble residuals to 0.37 mag for the combined SDSS and SNLS data set. Using Monte Carlo simulations, we predict that SOFT will be able to improve constraints on time-variable dark energy models by a factor of 2-3 with each new generation of large-scale SN surveys.

  11. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration

    SciTech Connect (OSTI)

    Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

    2013-12-31

    This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.

  12. Energy Literacy

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

    gov Energy Literacy I want to talk about building a sustainable energy future.... The United States is committed to taking action to meet the energy and climate challenge. Secretary Chu, December 6, 2010 Presenter: Matthew Inman Albert Einstein Distinguished Educator Fellow US Department of Energy, EERE-EEWD matthew.inman@ee.doe.gov 2 | Energy Education and Workforce Development eere.energy.gov Energy Literacy Energy Literacy Promote Energy Literacy The Department will actively participate in

  13. The Federal Highway Administration Gasohol Consumption Estimation Model

    SciTech Connect (OSTI)

    Hwang, HL

    2003-08-28

    The Federal Highway Administration (FHWA) is responsible for estimating the portion of Federal highway funds attributable to each State. The process involves use of State-reported data (gallons) and a set of estimation models when accurate State data is unavailable. To ensure that the distribution of funds is equitable, FHWA periodically reviews the estimation models. Estimation of the use of gasohol is difficult because of State differences in the definition of gasohol, inability of many States to separate and report gasohol usage from other fuel types, changes in fuel composition in nonattainment areas to address concerns over the use of certain fuel additives, and the lack of a valid State-level surrogate data set for gasohol use. Under the sponsorship of FHWA, Oak Ridge National Laboratory (ORNL) reviewed the regression-based gasohol estimation model that has been in use for several years. Based on an analytical assessment of that model and an extensive review of potential data sets, ORNL developed an improved rule-based model. The new model uses data from Internal Revenue Service, Energy Information Administration, Environmental Protection Agency, Department of Energy, ORNL, and FHWA sources. The model basically consists of three parts: (1) development of a controlled total of national gasohol usage, (2) determination of reliable State gasohol consumption data, and (3) estimation of gasohol usage for all other States. The new model will be employed for the 2004 attribution process. FHWA is currently soliciting comments and inputs from interested parties. Relevant data, as identified, will be pursued and refinements will be made by the research team if warranted.

  14. (Energy Efficiency)

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

    ... energy efficiency improvements require conditions that enable investment inflow, such as access to capital, stronger markets for energy services and market-based energy pricing. ...

  15. Energy Management

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

    Energy Management Utilize energy efficiency to improve your industrial customer's business performance without the cost of major capital improvements. Energy efficiency is not...

  16. Energy Literacy

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

    Biomass 2014 Conference Energy Literacy Linda Silverman Education and Workforce Development Department of Energy July 30, 2014 2 | Energy Education and Workforce Development ...

  17. Energy Efficiency

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

    the full transcript of the Energy Efficiency video Learn More Cool School Challenge Money Saving Energy Efficiency Tips Alliance to Save Energy: Consumer Tips Bonneville...

  18. wind energy

    National Nuclear Security Administration (NNSA)

    5%2A en Pantex to Become Wind Energy Research Center http:nnsa.energy.govfieldofficesnponpopressreleasespantex-become-wind-energy-research-center

  19. Energy Policy

    Broader source: Energy.gov [DOE]

    The Energy Department is focusing on an all-of-the-above energy policy, investing in all sources of American energy.

  20. Wind Energy

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

    Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power ... Laboratory PV Regional Test Centers Scaled Wind Farm Technology Facility Climate & Earth ...

  1. Annual Energy Review 1993

    SciTech Connect (OSTI)

    Not Available

    1994-07-14

    This twelfth edition of the Annual Energy Review (AER) presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1993. Because coverage spans four and a half decades, the statistics in this report are well-suited to long-term trend analyses. The AER is comprehensive. It covers all major energy activities, including consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels and electricity. The AER also presents Energy Information Administration (EIA) statistics on some renewable energy sources. EIA estimates that its consumption series include about half of the renewable energy used in the United States. For a more complete discussion of EIA`s renewables data, see p. xix, ``Introducing Expanded Coverage of Renewable Energy Data Into the Historical Consumption Series.`` Copies of the 1993 edition of the Annual Energy Review may be obtained by using the order form in the back of this publication. Most of the data in the 1993 edition also are available on personal computer diskette. For more information about the diskettes, see the back of this publication. In addition, the data are available as part of the National Economic, Social, and Environmental Data Bank on a CD-ROM. For more information about the data bank, contact the US Department of Commerce Economics and Statistics Administration, on 202-482-1986.

  2. Parameter Estimation for Single Diode Models of Photovoltaic Modules

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

    2065 Unlimited Release Printed March 2015 Parameter Estimation for Single Diode Models of Photovoltaic Modules Clifford W. Hansen Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract

  3. Marginal Energy Price Report - July 1999 | Department of Energy

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

    Price Report - July 1999 Marginal Energy Price Report - July 1999 Estimated Consumer Marginal Energy Prices for the Commercial and Residental Sectors for use in the Life-Cycle Cost Analyses for four of the High-Priority Appliance Rulemakings PDF icon marg_eprice_0799.pdf More Documents & Publications Marginal Energy Prices - RECS97 Update Standby Rates for Customer-Sited Resources - Issues, Considerations, and the Elements of Model Tariffs, 2009 Solar Real-Time Pricing: Is Real-Time

  4. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 4 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1 (Estimates in Btu or Physical Units) XLS Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region,

  5. Central airport energy systems using alternate energy sources

    SciTech Connect (OSTI)

    Not Available

    1982-07-01

    The purpose of this project was to develop the concept of a central airport energy system designed to supply energy for aircraft ground support and terminal complex utility systems using municipal waste as a fuel. The major task was to estimate the potential for reducing aircraft and terminal fuel consumption by the use of alternate renewable energy sources. Additional efforts included an assessment of indirect benefits of reducing airport atmospheric and noise pollution.

  6. State energy price and expenditure report 1992

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.

  7. State energy price and expenditure report 1993

    SciTech Connect (OSTI)

    1995-12-01

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 states and the District of Columbia and in aggregate for the US. The five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.

  8. Energy Sources: Renewable Energy

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

    Why Hydrogen? * Fossil fuels release CO 2 , SO X , NO X SO X , NO X * Declining reserves, national security security GM Hydrogen Energy Hydrogen- the use of Hydrogen gas in...

  9. Sandia Energy Energy

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

    Investigations on Anti-biofouling Zwitterionic Coatings for MHK Is Now in Press http:energy.sandia.govinvestigations-on-anti-biofouling-zwitterionic-coatings-for-mhk-is-now-in-p...

  10. 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

  11. State Energy Program Retrospective Evaluation

    Energy Savers [EERE]

    of a major national evaluation of the State Energy Program (SEP), under the Office of Energy Efficiency and Renewable Energy. The Retrospective Evaluation of SEP's Program Year (PY) 2008, a typical year in SEP operations, was a multiyear, peer-reviewed, statistically robust effort led by Oak Ridge National Laboratory (ORNL). It is the most comprehensive, detailed analysis ever conducted of SEP. The purpose of the evaluation was to develop independent estimates of key program outcomes, including:

  12. SLP Energy | Open Energy Information

    Open Energy Info (EERE)

    Sector: Renewable Energy, Services Product: Focused on the renewable energy sector, SLP Energy offers early to late stage project development services and capabilities....

  13. Dei Energy | Open Energy Information

    Open Energy Info (EERE)

    Place: Bulgaria Sector: Renewable Energy Product: Bulgarian utility engaged in renewable energy project development. References: Dei Energy1 This article is a stub. You can help...

  14. Tenax Energy | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Logo: Tenax Energy Name: Tenax Energy Place: Darwin, NT Country: Australia Zip: 0801 Sector: Marine and Hydrokinetic, Ocean, Renewable Energy Year Founded:...

  15. Ergon Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Ergon Energy Place: Rockhampton, Queensland, Australia Zip: 4700 Product: Energy distribution and retailer focused on Queensland....

  16. Refex Energy | Open Energy Information

    Open Energy Info (EERE)

    Refex Energy Jump to: navigation, search Name: Refex Energy Place: Tamil Nadu, India Zip: 600017 Sector: Wind energy Product: Part of the refrigeration major Refex Group, plans to...

  17. Saving Energy | Department of Energy

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

    Saving Energy Saving Energy Saving Energy Walmart Partnership Brings LEDs to Parking Lots Walmart Partnership Brings LEDs to Parking Lots Read more Refrigerator Standards Save ...

  18. Tioga Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Logo: Tioga Energy Name: Tioga Energy Address: 2755 Campus Drive Place: San Mateo, California Zip: 94403 Region: Bay Area Sector: Solar Product:...

  19. Energy Storage | Open Energy Information

    Open Energy Info (EERE)

    around the clock. Some of the major issues concerning energy storage include cost, efficiency, and size. Benefits Make Renewable Energy Viable Allow for intermittent energy...

  20. Winkra Energie | Open Energy Information

    Open Energy Info (EERE)

    Winkra Energie Jump to: navigation, search Name: Winkra Energie Place: Hannover, Germany Zip: 30175 Sector: Wind energy Product: Hannover-based wind farm developer and operator,...

  1. Wind energy | Open Energy Information

    Open Energy Info (EERE)

    help industry reduce the cost of energy so that wind can compete with traditional energy sources, providing a clean, renewable alternative for our nation's energy needs. Worldwide...

  2. Pfister Energy | Open Energy Information

    Open Energy Info (EERE)

    Product: Pfister Energy is committed to applying the latest technologies in renewable energy so that you reap the benefits of a complete energy-efficient solution. Coordinates:...

  3. Vadxx Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy, Services Product: Energy provider: power production;Energy provider: wholesale; Research and development Phone Number: 440-591-8994 Website: www.vadxx.com Coordinates:...

  4. Valence Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Valence Energy Place: Santa Clara, California Zip: 95050 Sector: Services Product: California-based energy management software and services...

  5. Eshone Energy | Open Energy Information

    Open Energy Info (EERE)

    Eshone Energy Jump to: navigation, search Name: Eshone Energy Place: Santa Clara, California Zip: 95051 Product: California-based PV systems installer. References: Eshone Energy1...

  6. Colexon Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Colexon Energy Place: Hamburg, Hamburg, Germany Zip: 20354 Sector: Solar, Wind energy Product: Germany-based PV system integrator and solar...

  7. ENRO Energie | Open Energy Information

    Open Energy Info (EERE)

    Energie Jump to: navigation, search Name: ENRO Energie Place: Essen, Germany Zip: 45128 Sector: Geothermal energy Product: Germany-based company engaged in the design and...

  8. Hiolle Energies | Open Energy Information

    Open Energy Info (EERE)

    Hiolle Energies Jump to: navigation, search Name: Hiolle Energies Place: France Product: French PV system integrator. References: Hiolle Energies1 This article is a stub. You can...

  9. Geothermal Energy | Open Energy Information

    Open Energy Info (EERE)

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

  10. Geothermal energy | Open Energy Information

    Open Energy Info (EERE)

    Geothermal energy Jump to: navigation, search Dictionary.png Geothermal energy: Geothermal energy is heat extracted from the Earth ( Geo (Earth) + thermal (heat) ) Other...

  11. Bloom Energy | Open Energy Information

    Open Energy Info (EERE)

    Bloom Energy Jump to: navigation, search Logo: Bloom Energy Name: Bloom Energy Address: 1252 Orleans Drive Place: Sunnyvale, California Zip: 94089 Region: Bay Area Year Founded:...

  12. Proark Energy | Open Energy Information

    Open Energy Info (EERE)

    Proark Energy Place: Copenhagen, Denmark Zip: 1370 Sector: Renewable Energy, Solar, Wind energy Product: Copenhagen-based management company owned by Proark - the Danish real...

  13. Akis Energy | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: Akis Energy Place: Istanbul, Turkey Sector: Solar, Wind energy Product: Istanbul-based energy division of the Akis Group and developer of...

  14. ENECO Energie | Open Energy Information

    Open Energy Info (EERE)

    Place: Rotterdam, Netherlands Zip: 3000 CL Sector: Biomass, Renewable Energy, Solar, Wind energy Product: Dutch-based energy company that transports, produces, trades and sells...

  15. Solydair Energies | Open Energy Information

    Open Energy Info (EERE)

    search Logo: Solydair Energies Name: Solydair Energies Address: Miraval Place: Les Thuiles Zip: 04400 Sector: Renewable Energy Product: Solar Evolution Year Founded: 2009...

  16. Natec Energy | Open Energy Information

    Open Energy Info (EERE)

    Natec Energy Jump to: navigation, search Name: Natec Energy Place: Madrid, Spain Zip: 28015 Sector: Solar Product: Solar system developer and supplier, Natec Energy is active in...

  17. Aleltho Energy | Open Energy Information

    Open Energy Info (EERE)

    Aleltho Energy Jump to: navigation, search Name: Aleltho Energy Place: United Kingdom Product: British clean energy venture capital and private equity firm. References: Aleltho...

  18. Wind Energy | Department of Energy

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

    Wind Energy Wind Energy Below are resources for Tribes on wind energy technologies. 2012 Market Report on Wind Technologies in Distributed Applications Includes a breakdown of ...

  19. Forth Energy | Open Energy Information

    Open Energy Info (EERE)

    search Name: Forth Energy Place: United Kingdom Sector: Renewable Energy Product: Joint venture between SSE and Forth Ports to develop renewable energy at ports around the...

  20. Tigo Energy | Open Energy Information

    Open Energy Info (EERE)

    Tigo Energy Jump to: navigation, search Name: Tigo Energy Place: Los Gatos, California Zip: 95032 Sector: Solar Product: Tigo Energy builds hardware and software intelligence into...