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Sample records for recs end-use models

  1. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.

    2010-04-09

    The field of distribution system analysis has made significant advances in the past ten years. It is now standard practice when performing a power flow simulation to use an algorithm that is capable of unbalanced per-phase analysis. Recent work has also focused on examining the need for time-series simulations instead of examining a single time period, i.e., peak loading. One area that still requires a significant amount of work is the proper modeling of end use loads. Currently it is common practice to use a simple load model consisting of a combination of constant power, constant impedance, and constant current elements. While this simple form of end use load modeling is sufficient for a single point in time, the exact model values are difficult to determine and it is inadequate for some time-series simulations. This paper will examine how to improve simple time invariant load models as well as develop multi-state time variant models.

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

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

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

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

    Office of Environmental Management (EM)

    End-use Breakdown: The Building Energy Modeling Blog End-use Breakdown: The Building Energy Modeling Blog RSS Welcome to the Building Technologies Office's Building Energy Modeling blog. February 19, 2016 Trimble's recent acquisition of Sefaira and its pairing with SketchUp is a good sign for the BEM industry. Image credit: Sefaira. DOE. A Good Sign for the Building Energy Modeling Industry If you are a BEM professional, know a BEM professional, or even follow one on LinkedIn or Twitter, you've

  4. RECS Archive

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

    1984 PDF User Needs Study for the 1993 RECS Release Date: 1993 1993 1993 PDF Sample Design for RECS Release Date: August 1994 1994 1993 PDF Quality Profile Release Date: March...

  5. A State-Based Approach to Building a Liquid National Market for Renewable Energy Certificates: The REC-EX Model

    SciTech Connect (OSTI)

    Berendt, Christopher B.

    2006-06-15

    RECs are the currency driving the growth of renewable energy markets and the sale of RECs from renewable energy generation projects could promise a predictable return. But the existing REC markets in the U.S. sorely lack the liquidity needed to make good on that promise. The author proposes a Renewable Energy Certificate Exchange program rooted in the construction of a national trading platform for RECs in tandem with the execution of a new agreement among the states with REC-based renewable portfolio standards. (author)

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four

  8. RECS student sequestration program

    SciTech Connect (OSTI)

    2007-12-31

    The 2007 Research Experiment in Carbon Sequestration (RECS) met at the Montana State University (MSU) and a variety of field sites over the 10-day period of July 29 - Aug 10. This year's group consisted of 17 students from graduate and doctoral programs in the United States and Canada, as well as early career professionals in fields related to carbon mitigation. Appropriately, because greenhouse gas reduction and storage is a global problem, the group included seven international students, from France, Iran, Paraguay, Turkey, Russia and India. Classroom talks featured experts from academia, government, national laboratories, and the private sector, who discussed carbon capture and storage technologies and related policy issues. Then, students traveled to Colstrip, Montana to visit PPL Montana's coal-fired power plant and view the local geology along the Montana/Wyoming border. Finally, students spent several days in the hands-on work at ZERT, using carbon dioxide detection and monitoring equipment. 1 photo.

  9. REC Generator Certification Application - Texas | Open Energy...

    Open Energy Info (EERE)

    REC Generator Certification Application - Texas Jump to: navigation, search OpenEI Reference LibraryAdd to library Reference: REC Generator Certification Application - Texas...

  10. Biomass Resource Allocation among Competing End Uses

    SciTech Connect (OSTI)

    Newes, E.; Bush, B.; Inman, D.; Lin, Y.; Mai, T.; Martinez, A.; Mulcahy, D.; Short, W.; Simpkins, T.; Uriarte, C.; Peck, C.

    2012-05-01

    The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.

  11. End-use taxes: Current EIA practices

    SciTech Connect (OSTI)

    Not Available

    1994-08-17

    There are inconsistencies in the EIA published end-use price data with respect to Federal, state, and local government sales and excise taxes; some publications include end-use taxes and others do not. The reason for including these taxes in end-use energy prices is to provide consistent and accurate information on the total cost of energy purchased by the final consumer. Preliminary estimates are made of the effect on prices (bias) reported in SEPER (State Energy Price and Expenditure Report) resulting from the inconsistent treatment of taxes. EIA has undertaken several actions to enhance the reporting of end-use energy prices.

  12. 1990 RECS Public Use Microdata Files

    Gasoline and Diesel Fuel Update (EIA)

    90 Microdata 1990 RECS Public Use Microdata Files Data for: 1990 Released: September 2008 The 1990 Residential Energy Consumption Survey (RECS) was designed by the Energy Information Administration (EIA) to provide information on how households in the United States and District of Columbia use energy within the home. The RECS Public Use Files are comma separated value (.txt) files. Each record corresponds to a single responding household. The smallest level of geographic detail available is the

  13. 1987 RECS Public Use Microdata Files

    Gasoline and Diesel Fuel Update (EIA)

    87 Microdata 1987 RECS Public Use Microdata Files Data for: 1987 Released: September 2008 The 1987 Residential Energy Consumption Survey (RECS) was designed by the Energy Information Administration (EIA) to provide information on how households in the United States and District of Columbia use energy within the home. The RECS Public Use Files are comma separated value (.txt) files. Each record corresponds to a single responding household. The smallest level of geographic detail available is the

  14. Marginal Energy Prices - RECS97 Update

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

    Marginal Energy Prices - RECS97 Update The original estimation of residential marginal energy prices at the individual household level (as reported in the Marginal Energy Prices Report, http://www.eren.doe.gov/buildings/codes_standards/applbrf/pdfs/marginal_ energy_price.pdf) was based on household energy billing data from EIA's 1993 RECS survey. When the 1997 RECS survey data became available, LBNL updated its estimation of residential marginal energy prices at the individual household level

  15. Preliminary CBECS End-Use Estimates

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

    For the past three CBECS (1989, 1992, and 1995), we used a statistically-adjusted engineering (SAE) methodology to estimate end-use consumption. The core of the SAE methodology...

  16. Renewable Energy Certificate (REC) Tracking Systems: Costs & Verification Issues (Presentation)

    SciTech Connect (OSTI)

    Heeter, J.

    2013-10-01

    This document provides information on REC tracking systems: how they are used in the voluntary REC market, a comparison of REC systems fees and information regarding how they treat environmental attributes.

  17. Steamboat Springs Health and Rec. Pool & Spa Low Temperature...

    Open Energy Info (EERE)

    Springs Health and Rec. Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Steamboat Springs Health and Rec. Pool & Spa Low Temperature Geothermal...

  18. Renewable Energy Concepts Solar Inc REC Solar | Open Energy Informatio...

    Open Energy Info (EERE)

    Concepts Solar Inc REC Solar Jump to: navigation, search Name: Renewable Energy Concepts Solar Inc (REC Solar) Place: San Luis Obispo, California Zip: 93401 Sector: Solar Product:...

  19. Engineer End Uses for Maximum Efficiency | Department of Energy

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

    Engineer End Uses for Maximum Efficiency Engineer End Uses for Maximum Efficiency This tip sheet outlines steps to ensure the efficiency of compressed air end-use applications....

  20. Energy End-Use Intensities in Commercial Buildings 1989 -- Executive...

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

    9 Energy End-Use Intensities > Executive Summary Executive Summary Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source:...

  1. Plumas-Sierra REC- PV Rebate Program

    Broader source: Energy.gov [DOE]

    Plumas-Sierra REC offers an incentive for its customers to install photovoltaic (PV) systems on homes and businesses. Rebates are available for qualifying systems between one kilowatt (kW) and 25...

  2. Marginal Energy Prices - RECS97 Update | Department of Energy

    Office of Environmental Management (EM)

    Prices - RECS97 Update Marginal Energy Prices - RECS97 Update An updated estimation of residential marginal energy prices at the individual house level using the 1997 RECS survey data PDF icon marg_eprice_recs97.pdf More Documents & Publications Marginal Energy Price Report - July 1999 Energy Intensity Indicators: Methodology Downloads Response to several FOIA requests - Renewable Energy.

  3. Refining and End Use Study of Coal Liquids

    SciTech Connect (OSTI)

    1997-10-01

    This report summarizes revisions to the design basis for the linear programing refining model that is being used in the Refining and End Use Study of Coal Liquids. This revision primarily reflects the addition of data for the upgrading of direct coal liquids.

  4. Biomass Resource Allocation among Competing End Uses

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

    Biomass Resource Allocation among Competing End Uses Emily Newes, Brian Bush, Daniel Inman, Yolanda Lin, Trieu Mai, Andrew Martinez, David Mulcahy, Walter Short, Travis Simpkins, and Caroline Uriarte National Renewable Energy Laboratory Corey Peck Lexidyne, LLC Technical Report NREL/TP-6A20-54217 May 2012 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

  5. Healthcare Energy End-Use Monitoring

    SciTech Connect (OSTI)

    Sheppy, M.; Pless, S.; Kung, F.

    2014-08-01

    NREL partnered with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, including preheat, heating, and reheat; humidification; service water heating; cooling; fans; pumps; lighting; and select plug and process loads. Additional data from medical office buildings were provided for an analysis focused on plug loads. Facility managers, energy managers, and engineers in the healthcare sector will be able to use these results to more effectively prioritize and refine the scope of investments in new metering and energy audits.

  6. Residential Lighting End-Use Consumption | Department of Energy

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

    Information Resources Publications Market Studies Residential Lighting End-Use Consumption Residential Lighting End-Use Consumption The U.S. DOE Residential Lighting ...

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) Where does RECS square footage data come from? RECS 2009 - Release date: July 11, 2012 The size of a home is a fixed characteristic strongly associated with the amount of energy consumed within it, particularly for space heating, air conditioning, lighting, and other appliances. As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow

  8. Realizing Building End-Use Efficiency with Ermerging Technologies

    Broader source: Energy.gov [DOE]

    Information about the implementation of emerging technologies to maximize end-use efficiency in buildings.

  9. Alternative Strategies for Low Pressure End Uses | Department of Energy

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

    Alternative Strategies for Low Pressure End Uses Alternative Strategies for Low Pressure End Uses This tip sheet outlines alternative strategies for low-pressure end uses as a pathway to reduced compressed air energy costs. COMPRESSED AIR TIP SHEET #11 PDF icon Alternative Strategies for Low Pressure End Uses (August 2004) More Documents & Publications Eliminate Inappropriate Uses of Compressed Air Compressed Air System Control Strategies Engineer End Uses for Maximum Efficiency

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

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports Has your home been selected for the RECS? State fact sheets Arizona household graph See state fact sheets › graph of U.S. estimated distributed and utility-scale solar capacity and generation, as explained in the article text EIA electricity data now include estimated small-scale solar PV capacity and generation December 2, 2015 U.S. energy-related CO2 emissions up 1% in 2014 as buildings,

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

    Gasoline and Diesel Fuel Update (EIA)

    gas use features two seasonal peaks per year September 11, 2015 All 65 related articles Other End Use Surveys Commercial Buildings - CBECS Manufacturing - MECS...

  12. Regional REC and RPS Best Practices

    SciTech Connect (OSTI)

    Jennifer Alvarado

    2009-09-30

    The Great Lakes Renewable Energy Association conducted a program to explore the development of Renewable Energy Portfolio Standards and Renewable Energy Certificate Markets in the Midwest. The initiative represented the collaboration between the four state energy offices of Illinois, Indiana, Michigan and Ohio, the Great Lakes Renewable Energy Association (GLREA) and the Clean Energy State Alliance (CESA). The multi-state project explored the opportunities in the Midwest to expand the renewable energy market through Renewable Energy Portfolio Standards (RPS) and the trading of Renewable Energy Credits (RECs).

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) What's new in our home energy use? RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from over 12,000 U.S. households. This report highlights findings from the survey, with details presented in the Household Energy Characteristics tables. How we use energy in our homes has changed substantially over the past three decades.

  15. REC Group Renewable Energy Corporation | Open Energy Information

    Open Energy Info (EERE)

    Group Renewable Energy Corporation Jump to: navigation, search Name: REC Group (Renewable Energy Corporation) Place: Hvik, Norway Zip: N-1323 Sector: Solar Product: Norwegian...

  16. Healthcare Energy End-Use Monitoring | Department of Energy

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

    Healthcare Energy End-Use Monitoring Healthcare Energy End-Use Monitoring NREL partnered with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, including preheat, heating, and reheat; humidification; service water heating; cooling; fans; pumps; lighting; and select plug and process loads. Additional data from medical office buildings were provided for an analysis focused on plug loads. Facility managers, energy managers,

  17. End Use and Fuel Certification | Department of Energy

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

    End Use and Fuel Certification End Use and Fuel Certification Breakout Session 2: Frontiers and Horizons Session 2-B: End Use and Fuel Certification John Eichberger, Vice President of Government Relations, National Association for Convenience Stores PDF icon b13_eichberger_2-b.pdf More Documents & Publications Biofuels Market Opportunities High Octane Fuels Can Make Better Use of Renewable Transportation Fuels Making Better Use of Ethanol as a Transportation Fuel With "Renewable Super

  18. 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....

  19. Energy End-Use Intensities in Commercial Buildings1992 -- Overview...

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

    in the way that variables such as building age and employment density could interact with the engineering estimates of end-use consumption. The SAE equations were...

  20. 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...

  1. Energy End-Use Intensities in Commercial Buildings 1995 - Index...

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

    End-Use Analyst Contact: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager URL: http:www.eia.govconsumptioncommercialdataarchivecbecscbec-eu1.html separater bar If...

  2. End-Use Sector Flowchart | Department of Energy

    Office of Environmental Management (EM)

    End-Use Sector Flowchart End-Use Sector Flowchart This system of energy intensity indicators for total energy covers the economy as a whole and each of the major end-use sectors-transportation, industry, commercial and residential-identified in Figure 1. By clicking on any of the boxes with the word "Sector" in the title will reveal the more detailed structure within that sector. PDF icon End-Use Sector Flowchart More Documents & Publications Barriers to Industrial Energy

  3. Table 5.1 End Uses of Fuel Consumption, 2010;

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

    5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States

  4. Table 5.2 End Uses of Fuel Consumption, 2010;

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

    2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27

  5. Table 5.3 End Uses of Fuel Consumption, 2010;

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

    3 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL

  6. Table 5.4 End Uses of Fuel Consumption, 2010;

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

    4 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 2,886 79 130 5,211 69 868 Indirect Uses-Boiler Fuel 44 46 19

  7. Table 5.5 End Uses of Fuel Consumption, 2010;

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

    5 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION

  8. Table 5.6 End Uses of Fuel Consumption, 2010;

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

    6 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733

  9. Table 5.7 End Uses of Fuel Consumption, 2010;

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

    7 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 845,727 13 22 5,064 18

  10. Table 5.8 End Uses of Fuel Consumption, 2010;

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

    8 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 2,886 79 130 5,211 69 868 Indirect Uses-Boiler Fuel 44 46 19 2,134 10 572 Conventional Boiler Use 44 20 4 733 3 72 CHP

  11. Energy End-Use Intensities in Commercial Buildings

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

    as buildings of the 1980's. In this section, intensities are based upon the entire building stock, not just those buildings using a particular fuel for a given end use. This...

  12. Vehicle Technologies Office: Biofuels End-Use Research | Department of

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

    Energy Alternative Fuels » Vehicle Technologies Office: Biofuels End-Use Research Vehicle Technologies Office: Biofuels End-Use Research Biofuels offer Americans viable domestic, environmentally sustainable alternatives to gasoline and diesel. Learn about the basics, benefits, and issues to consider related to biodiesel and ethanol on the Alternative Fuels Data Center. The Vehicle Technologies Office supports research to increase our knowledge of the effects of biofuels on engines and

  13. Distribution Infrastructure and End Use | Department of Energy

    Office of Environmental Management (EM)

    Distribution Infrastructure and End Use Distribution Infrastructure and End Use The expanded Renewable Fuel Standard (RFS2) created under the Energy Independence and Security Act (EISA) of 2007 requires 36 billion gallons of biofuels to be blended into transportation fuel by 2022. Meeting the RFS2 target introduces new challenges for U.S. infrastructure, as modifications will be needed to transport and deliver renewable fuels that are not compatible with existing petroleum infrastructure. The

  14. India Energy Outlook: End Use Demand in India to 2020

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; McNeil, Michael; Sathaye, Jayant

    2009-03-30

    Integrated economic models have been used to project both baseline and mitigation greenhouse gas emissions scenarios at the country and the global level. Results of these scenarios are typically presented at the sectoral level such as industry, transport, and buildings without further disaggregation. Recently, a keen interest has emerged on constructing bottom up scenarios where technical energy saving potentials can be displayed in detail (IEA, 2006b; IPCC, 2007; McKinsey, 2007). Analysts interested in particular technologies and policies, require detailed information to understand specific mitigation options in relation to business-as-usual trends. However, the limit of information available for developing countries often poses a problem. In this report, we have focus on analyzing energy use in India in greater detail. Results shown for the residential and transport sectors are taken from a previous report (de la Rue du Can, 2008). A complete picture of energy use with disaggregated levels is drawn to understand how energy is used in India and to offer the possibility to put in perspective the different sources of end use energy consumption. For each sector, drivers of energy and technology are indentified. Trends are then analyzed and used to project future growth. Results of this report provide valuable inputs to the elaboration of realistic energy efficiency scenarios.

  15. End use energy consumption data base: transportation sector

    SciTech Connect (OSTI)

    Hooker, J.N.; Rose, A.B.; Greene, D.L.

    1980-02-01

    The transportation fuel and energy use estimates developed a Oak Ridge National Laboratory (ORNL) for the End Use Energy Consumption Data Base are documented. The total data base contains estimates of energy use in the United States broken down into many categories within all sectors of the economy: agriculture, mining, construction, manufacturing, commerce, the household, electric utilities, and transportation. The transportation data provided by ORNL generally cover each of the 10 years from 1967 through 1976 (occasionally 1977 and 1978), with omissions in some models. The estimtes are broken down by mode of transport, fuel, region and State, sector of the economy providing transportation, and by the use to which it is put, and, in the case of automobile and bus travel, by the income of the traveler. Fuel types include natural gas, motor and aviation gasoline, residual and diesel oil, liuqefied propane, liquefied butane, and naphtha- and kerosene-type jet engine fuels. Electricity use is also estimated. The mode, fuel, sector, and use categories themselves subsume one, two, or three levels of subcategories, resulting in a very detailed categorization and definitive accounting.

  16. REC ScanWafer AS | Open Energy Information

    Open Energy Info (EERE)

    ScanWafer AS Jump to: navigation, search Name: REC ScanWafer AS Place: Hovik, Norway Zip: 1323 Product: Norwegian manufacturer of multicrystalline wafers. Coordinates: 58.002571,...

  17. GridLAB-D Technical Support Document: Residential End-Use Module Version 1.0

    SciTech Connect (OSTI)

    Taylor, Zachary T.; Gowri, Krishnan; Katipamula, Srinivas

    2008-07-31

    1.0 Introduction The residential module implements the following end uses and characteristics to simulate the power demand in a single family home: Water heater Lights Dishwasher Range Microwave Refrigerator Internal gains (plug loads) House (heating/cooling loads) The house model considers the following four major heat gains/losses that contribute to the building heating/cooling load: 1. Conduction through exterior walls, roof and fenestration (based on envelope UA) 2. Air infiltration (based on specified air change rate) 3. Solar radiation (based on CLTD model and using tmy data) 4. Internal gains from lighting, people, equipment and other end use objects. The Equivalent Thermal Parameter (ETP) approach is used to model the residential loads and energy consumption. The following sections describe the modeling assumptions for each of the above end uses and the details of power demand calculations in the residential module.

  18. Energy end-use intensities in commercial buildings

    SciTech Connect (OSTI)

    Not Available

    1994-09-01

    This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and other. The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand. The source of data for the analysis is the 1989 Commercial Buildings Energy Consumption survey (CBECS), which collected detailed data on energy-related characteristics and energy consumption for a nationally representative sample of approximately 6,000 commercial buildings. The analysis used 1989 CBECS data because the 1992 CBECS data were not yet available at the time the study was initiated. The CBECS data were fed into the Facility Energy Decision Screening (FEDS) system, a building energy simulation program developed by the US Department of Energy`s Pacific Northwest Laboratory, to derive engineering estimates of end-use consumption for each building in the sample. The FEDS estimates were then statistically adjusted to match the total energy consumption for each building. This is the Energy Information Administration`s (EIA) first report on energy end-use consumption in commercial buildings. This report is part of an effort to address customer requests for more information on how energy is used in buildings, which was an overall theme of the 1992 user needs study. The end-use data presented in this report were not available for publication in Commercial Buildings Energy Consumption and Expenditures 1989 (DOE/EIA-0318(89), Washington, DC, April 1992). However, subsequent reports on end-use energy consumption will be part of the Commercial Buildings Energy Consumption and Expenditures series, beginning with a 1992 data report to be published in early 1995.

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

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) ‹ Consumption & Efficiency Residential Energy Consumption Survey (RECS) Glossary › FAQS › Overview Data 2009 2005 2001 1997 1993 Previous Analysis & Projections RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial,"

  20. United States Industrial Sector Energy End Use Analysis

    SciTech Connect (OSTI)

    Shehabi, Arman; Morrow, William R.; Masanet, Eric

    2012-05-11

    The United States Department of Energys (DOE) Energy Information Administration (EIA) conducts the Manufacturing Energy Consumption Survey (MECS) to provide detailed data on energy consumption in the manufacturing sector. The survey is a sample of approximately 15,000 manufacturing establishments selected from the Economic Census - Manufacturing Sector. MECS provides statistics on the consumption of energy by end uses (e.g., boilers, process, electric drives, etc.) disaggregated by North American Industry Classification System (NAICS) categories. The manufacturing sector (NAICS Sector 31-33) consists of all manufacturing establishments in the 50 States and the District of Columbia. According to the NAICS, the manufacturing sector comprises establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products. The establishments are physical facilities such as plants, factories, or mills. For many of the sectors in the MECS datasets, information is missing because the reported energy use is less than 0.5 units or BTUs, or is withheld to avoid disclosing data for individual establishments, or is withheld because the standard error is greater than 50%. We infer what the missing information likely are using several approximations techniques. First, much of the missing data can be easily calculated by adding or subtracting other values reported by MECS. If this is not possible (e.g. two data are missing), we look at historic MECS reports to help identify the breakdown of energy use in the past and assume it remained the same for the current MECS. Lastly, if historic data is also missing, we assume that 3 digit NAICS classifications predict energy use in their 4, 5, or 6 digit NAICS sub-classifications, or vice versa. Along with addressing data gaps, end use energy is disaggregated beyond the specified MECS allocations using additional industry specific energy consumption data. The result is a completed table of energy end use by sector with mechanical drives broken down by pumps, fans, compressed air, and drives.

  1. Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1

    SciTech Connect (OSTI)

    Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

    1994-05-01

    This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

  2. Driving Biofuels End Use: BETO/VTO Collaborations

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

    Driving Biofuels End Use: BETO/VTO Collaborations BETO FY 2015 Peer Review Kevin Stork EERE Vehicle Technologies Office March 26, 2015 Alexandria, Virginia 2 * Transportation is responsible for 66% of U.S. petroleum usage * 27% of GHG emissions * On-Road vehicles responsible for 85% of transportation petroleum usage Oil Dependency is Dominated by Vehicles * 16.0M LDVs sold in 2014. * 240 million light-duty vehicles on the road in the U.S * 10-15 years for annual sales penetration * 10-15 years

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

    Gasoline and Diesel Fuel Update (EIA)

    gas use features two seasonal peaks per year September 11, 2015 All 65 related articles Other End Use Surveys Commercial Buildings - CBECS Manufacturing - MECS...

  4. RECS Propane Usage Form_v1 (Draft).xps

    Gasoline and Diesel Fuel Update (EIA)

    propane usage for this housing unit between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total Dollar Amount including taxes [Exclude late fees, merchandise, repairs, and service charges] 11 12 13 14 15 16 17 18 19 20 Form EIA 457D OMB No. 1905-0092 Expires 1/31/13 2009 RECS Propane (Bottled Gas or LPG) Usage Form Delivery Address: Account Number: $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ / / / / / / / / / / / / / / / / / /

  5. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) 3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables Topical Sections Entire Section All Detailed Tables PDF Tables: HC1 Household Characteristics, Million U.S. Households Presents data relating to location, type, ownership, age, size, construction, and householder demographic and income characteristics. PDF Tables: HC2 Space Heating, Million

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

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) 1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables Table Titles (Released: February 2004) Entire Section Percents Tables: HC1 Housing Unit Characteristics, Million U.S. Households PDF PDF NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were

  7. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) 2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Owner-Occupied Housing Unit PDF Four Most Populated States PDF Urban/Rural Location PDF Northeast Census Region PDF

  8. Healthcare Energy: Using End-Use Data to Inform Decisions | Department of

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

    Energy Using End-Use Data to Inform Decisions Healthcare Energy: Using End-Use Data to Inform Decisions The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. See below for ideas about how to use end-use data to inform decisions in your facility. The relative magnitude of the energy consumption of different end uses can be a starting point for prioritizing energy investments and action, whether the scope under

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) Share of energy used by appliances and consumer electronics increases in U.S. homes RECS 2009 - Release date: March 28, 2011 Over the past three decades, the share of residential electricity used by appliances and electronics in U.S. homes has nearly doubled from 17 percent to 31 percent, growing from 1.77 quadrillion Btu (quads) to 3.25 quads. This rise has occurred while Federal energy efficiency standards were enacted on every major appliance,

  10. Energy End-Use Intensities in Commercial Buildings1995 -- Tables

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

    model using survey data from the 1995 commercial buildings energy consumption survey and building energy simulations provided by the Facility Energy Decision Screening system....

  11. Mechanism of homologous recombination from the RecA-ssDNA/dsDNA structures

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Mechanism of homologous recombination from the RecA-ssDNA/dsDNA structures Citation Details In-Document Search Title: Mechanism of homologous recombination from the RecA-ssDNA/dsDNA structures The RecA family of ATPases mediates homologous recombination, a reaction essential for maintaining genomic integrity and for generating genetic diversity. RecA, ATP and single-stranded DNA (ssDNA) form a helical

  12. NaRec New and Renewable Energy Centre | Open Energy Information

    Open Energy Info (EERE)

    New and Renewable Energy Centre Jump to: navigation, search Name: NaRec New and Renewable Energy Centre Region: United Kingdom Sector: Marine and Hydrokinetic Website: http: This...

  13. Technology data characterizing water heating in commercial buildings: Application to end-use forecasting

    SciTech Connect (OSTI)

    Sezgen, O.; Koomey, J.G.

    1995-12-01

    Commercial-sector conservation analyses have traditionally focused on lighting and space conditioning because of their relatively-large shares of electricity and fuel consumption in commercial buildings. In this report we focus on water heating, which is one of the neglected end uses in the commercial sector. The share of the water-heating end use in commercial-sector electricity consumption is 3%, which corresponds to 0.3 quadrillion Btu (quads) of primary energy consumption. Water heating accounts for 15% of commercial-sector fuel use, which corresponds to 1.6 quads of primary energy consumption. Although smaller in absolute size than the savings associated with lighting and space conditioning, the potential cost-effective energy savings from water heaters are large enough in percentage terms to warrant closer attention. In addition, water heating is much more important in particular building types than in the commercial sector as a whole. Fuel consumption for water heating is highest in lodging establishments, hospitals, and restaurants (0.27, 0.22, and 0.19 quads, respectively); water heating`s share of fuel consumption for these building types is 35%, 18% and 32%, respectively. At the Lawrence Berkeley National Laboratory, we have developed and refined a base-year data set characterizing water heating technologies in commercial buildings as well as a modeling framework. We present the data and modeling framework in this report. The present commercial floorstock is characterized in terms of water heating requirements and technology saturations. Cost-efficiency data for water heating technologies are also developed. These data are intended to support models used for forecasting energy use of water heating in the commercial sector.

  14. The Value of End-Use Energy Efficiency in Mitigation of U.S. Carbon Emissions

    SciTech Connect (OSTI)

    Kyle, G. Page; Smith, Steven J.; Clarke, Leon E.; Kim, Son H.; Wise, Marshall A.

    2007-11-27

    This report documents a scenario analysis exploring the value of advanced technologies in the U.S. buildings, industrial, and transportation sectors in stabilizing atmospheric greenhouse gas concentrations. The analysis was conducted by staff members of Pacific Northwest National Laboratory (PNNL), working at the Joint Global Change Research Institute (JGCRI) in support of the strategic planning process of the U.S. Department of Energy (U.S. DOE) Office of Energy Efficiency and Renewable Energy (EERE). The conceptual framework for the analysis is an integration of detailed buildings, industrial, and transportation modules into MiniCAM, a global integrated assessment model. The analysis is based on three technology scenarios, which differ in their assumed rates of deployment of new or presently available energy-saving technologies in the end-use sectors. These technology scenarios are explored with no carbon policy, and under two CO2 stabilization policies, in which an economic price on carbon is applied such that emissions follow prescribed trajectories leading to long-term stabilization of CO2 at roughly 450 and 550 parts per million by volume (ppmv). The costs of meeting the emissions targets prescribed by these policies are examined, and compared between technology scenarios. Relative to the reference technology scenario, advanced technologies in all three sectors reduce costs by 50% and 85% for the 450 and 550 ppmv policies, respectively. The 450 ppmv policy is more stringent and imposes higher costs than the 550 ppmv policy; as a result, the magnitude of the economic value of energy efficiency is four times greater for the 450 ppmv policy than the 550 ppmv policy. While they substantially reduce the costs of meeting emissions requirements, advanced end-use technologies do not lead to greenhouse gas stabilization without a carbon policy. This is due mostly to the effects of increasing service demands over time, the high consumption of fossil fuels in the electricity sector, and the use of unconventional feedstocks in the liquid fuel refining sector. Of the three end-use sectors, advanced transportation technologies have the greatest potential to reduce costs of meeting carbon policy requirements. Services in the buildings and industrial sectors can often be supplied by technologies that consume low-emissions fuels such as biomass or, in policy cases, electricity. Passenger transportation, in contrast, is especially unresponsive to climate policies, as the fuel costs are small compared to the time value of transportation and vehicle capital and operating costs. Delaying the transition from reference to advanced technologies by 15 years increases the costs of meeting 450 ppmv stabilization emissions requirements by 21%, but the costs are still 39% lower than the costs assuming reference technology. The report provides a detailed description of the end-use technology scenarios and provides a thorough analysis of the results. Assumptions are documented in the Appendix.

  15. MHK Projects/University of Manchester Phase 1 and 2 NaREC | Open...

    Open Energy Info (EERE)

    University of Manchester Phase 1 and 2 NaREC < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... "minzoom":false,"mappingservice":"goo...

  16. New and Renewable Energy Centre NaREC | Open Energy Information

    Open Energy Info (EERE)

    NE24 3AG Product: NaREC is a Centre of Excellence, fast-tracking concept evaluation, feasibility studies and prototype evaluation and testing through to early commercialisation....

  17. 2017 Levelized Costs AEO 2012 Early Release

    Gasoline and Diesel Fuel Update (EIA)

    Residential Energy Consumption Survey (RECS) End-Use Models FAQs 1 February 2013 Residential Energy Consumption Survey (RECS) End-Use Models FAQs What is an end-use model? An end-use model is a set of equations designed to disaggregate a RECS sample household's total annual fuel consumption into end uses such as space heating, air conditioning, water heating, refrigeration, and so on. These disaggregated values are then weighted up to produce population estimates of total and average energy end

  18. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States

  19. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel --

  20. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21

  1. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547

  2. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION

  3. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17

  4. "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural...

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

    8 Relative Standard Errors for Table 5.8;" " Unit: Percents." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for...

  5. ,"U.S. Distillate Fuel Oil and Kerosene Sales by End Use"

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

    Distillate Fuel Oil and Kerosene Sales by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  6. Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results

    SciTech Connect (OSTI)

    Koomey, J.G.; Brown, R.E.; Richey, R.

    1995-12-01

    This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

  7. WAPA REC RFP - Deadline: August 9, 2013 - 4:30 p.m. PT | OpenEI...

    Open Energy Info (EERE)

    by Graham7781(2017) Super contributor 5 August, 2013 - 14:26 Western Area Power Administration desires to purchase Renewable Energy Certificates (RECs) on behalf of Federal...

  8. ,"New Mexico Sales of Distillate Fuel Oil by End Use"

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

    Sales of Distillate Fuel Oil by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Sales of Distillate Fuel Oil by End Use",13,"Annual",2014,"6/30/1984" ,"Release Date:","12/22/2015" ,"Next Release Date:","Last Week of November 2016" ,"Excel

  9. ,"Nebraska Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  10. ,"Nevada Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  11. ,"New Hampshire Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  12. ,"New Jersey Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  13. ,"New Mexico Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  14. ,"New York Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  15. ,"North Carolina Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  16. ,"North Dakota Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  17. ,"Oklahoma Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  18. ,"Pennsylvania Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  19. ,"Rhode Island Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  20. ,"South Carolina Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  1. ,"South Dakota Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  2. ,"U.S. Adjusted Sales of Distillate Fuel Oil by End Use"

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

    Distillate Fuel Oil by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Adjusted Sales of Distillate Fuel Oil by End Use",13,"Annual",2014,"6/30/1984" ,"Release Date:","12/22/2015" ,"Next Release Date:","Last Week of November 2016" ,"Excel File

  3. ,"U.S. Adjusted Sales of Residual Fuel Oil by End Use"

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

    Residual Fuel Oil by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Adjusted Sales of Residual Fuel Oil by End Use",8,"Annual",2014,"6/30/1984" ,"Release Date:","12/22/2015" ,"Next Release Date:","Last Week of November 2016" ,"Excel File

  4. ,"Utah Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  5. ,"West Virginia Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  6. ,"Wisconsin Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  7. ,"Alabama Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  8. ,"Arizona Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  9. ,"Connecticut Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  10. ,"Delaware Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  11. ,"Georgia Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  12. ,"Idaho Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  13. ,"Kansas Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  14. ,"Kentucky Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  15. ,"Louisiana Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  16. ,"Maryland Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  17. ,"Mississippi Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  18. ,"Missouri Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  19. ,"Montana Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  20. Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study

    SciTech Connect (OSTI)

    McKone, Thomas E.; Lobscheid, A.B.

    2006-06-01

    This study assesses for California how increasing end-use electrical energy efficiency from installing residential insulation impacts exposures and disease burden from power-plant pollutant emissions. Installation of fiberglass attic insulation in the nearly 3 million electricity-heated homes throughout California is used as a case study. The pollutants nitrous oxides (NO{sub x}), sulfur dioxide (SO{sub 2}), fine particulate matter (PM2.5), benzo(a)pyrene, benzene, and naphthalene are selected for the assessment. Exposure is characterized separately for rural and urban environments using the CalTOX model, which is a key input to the US Environmental Protection Agency (EPA) Tool for the Reduction and Assessment of Chemicals and other environmental Impacts (TRACI). The output of CalTOX provides for urban and rural populations emissions-to-intake factors, which are expressed as an individual intake fraction (iFi). The typical iFi from power plant emissions are on the order of 10{sup -13} (g intake per g emitted) in urban and rural regions. The cumulative (rural and urban) product of emissions, population, and iFi is combined with toxic effects factors to determine human damage factors (HDFs). HDF are expressed as disability adjusted life years (DALYs) per kilogram pollutant emitted. The HDF approach is applied to the insulation case study. Upgrading existing residential insulation to US Department of Energy (DOE) recommended levels eliminates over the assmned 50-year lifetime of the insulation an estimated 1000 DALYs from power-plant emissions per million tonne (Mt) of insulation installed, mostly from the elimination of PM2.5 emissions. In comparison, the estimated burden from the manufacture of this insulation in DALYs per Mt is roughly four orders of magnitude lower than that avoided.

  1. Electricity end-use efficiency: Experience with technologies, markets, and policies throughout the world

    SciTech Connect (OSTI)

    Levine, M.D.; Koomey, J.; Price, L.; Geller, H.; Nadel, S.

    1992-03-01

    In its August meeting in Geneva, the Energy and Industry Subcommittee (EIS) of the Policy Response Panel of the Intergovernmental Panel on Climate Change (IPCC) identified a series of reports to be produced. One of these reports was to be a synthesis of available information on global electricity end-use efficiency, with emphasis on developing nations. The report will be reviewed by the IPCC and approved prior to the UN Conference on Environment and Development (UNCED), Brazil, June 1992. A draft outline for the report was submitted for review at the November 1991 meeting of the EIS. This outline, which was accepted by the EIS, identified three main topics to be addressed in the report: status of available technologies for increasing electricity end-use efficiency; review of factors currently limiting application of end-use efficiency technologies; and review of policies available to increase electricity end-use efficiency. The United States delegation to the EIS agreed to make arrangements for the writing of the report.

  2. End-Use Opportunity Analysis from Progress Indicator Results for ASHRAE Standard 90.1-2013

    SciTech Connect (OSTI)

    Hart, Philip R.; Xie, YuLong

    2015-02-05

    This report and an accompanying spreadsheet (PNNL 2014a) compile the end use building simulation results for prototype buildings throughout the United States. The results represent he energy use of each edition of ASHRAE Standard 90.1, Energy Standard for Buildings Except Low-Rise Residential Buildings (ASHRAE 2004, 2007, 2010, 2013). PNNL examined the simulation results to determine how the remaining energy was used.

  3. Table B19. Energy End Uses, Number of Buildings and Floorspace, 1999

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

    9. Energy End Uses, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,,"Total Floorspace (million square feet)" ,"All Buildings","Energy Used For (more than one may apply)",,,,,"All Buildings","Energy Used For (more than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manufact-uring",,"Space

  4. Engineer End Uses for Maximum Efficiency; Industrial Technologies Program (ITP) Compressed Air Tip Sheet #10 (Fact Sheet)

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

    0 * August 2004 Industrial Technologies Program Suggested Actions * Review compressed air end uses and determine the required level of air pressure. * Review the compressed air end uses' original confgurations to determine whether manufacturing processes have evolved in such a way that those end uses are no longer necessary or can be reconfgured more effciently. References From Compressed Air Challenge ® (CAC): The Compressed Air System Best Practices Manual, Guidelines for Selecting a

  5. Renewable Electricity Futures Study Volume 3: End-Use Electricity Demand

    Broader source: Energy.gov [DOE]

    This volume details the end-use electricity demand and efficiency assumptions. The projection of electricity demand is an important consideration in determining the extent to which a predominantly renewable electricity future is feasible. Any scenario regarding future electricity use must consider many factors, including technological, sociological, demographic, political, and economic changes (e.g., the introduction of new energy-using devices; gains in energy efficiency and process improvements; changes in energy prices, income, and user behavior; population growth; and the potential for carbon mitigation).

  6. ,"U.S. Adjusted Distillate Fuel Oil and Kerosene Sales by End Use"

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

    Distillate Fuel Oil and Kerosene Sales by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Residential",4,"Annual",2014,"6/30/1984" ,"Data 2","Commercial",10,"Annual",2014,"6/30/1984" ,"Data

  7. ,"U.S. Distillate Fuel Oil and Kerosene Sales by End Use"

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

    Distillate Fuel Oil and Kerosene Sales by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Residential",4,"Annual",2014,"6/30/1984" ,"Data 2","Commercial",10,"Annual",2014,"6/30/1984" ,"Data

  8. Table 2.3 Manufacturing Energy Consumption for Heat, Power, and Electricity Generation by End Use, 2006

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

    Manufacturing Energy Consumption for Heat, Power, and Electricity Generation by End Use, 2006 End-Use Category Net Electricity 1 Residual Fuel Oil Distillate Fuel Oil LPG 2 and NGL 3 Natural Gas Coal 4 Total 5 Million Kilowatthours Million Barrels Billion Cubic Feet Million Short Tons Indirect End Use (Boiler Fuel) 12,109 21 4 2 2,059 25 – – Conventional Boiler Use 12,109 11 3 2 1,245 6 – – CHP 6 and/or Cogeneration Process – – 10 1 (s) 814 19 – – Direct End Use All Process Uses 657,810

  9. RECS Fuel Oil Usage Form_v1 (Draft).xps

    Gasoline and Diesel Fuel Update (EIA)

    fuel oil usage for this delivery address between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total Dollar Amount including taxes [Exclude late fees, merchandise, repairs, and service charges] 11 12 13 14 15 16 17 18 19 20 Form EIA 457G OMB No. 1905-0092 Expires 1/31/13 2009 RECS Fuel Oil and Kerosene Usage Form Delivery Address: Account Number: $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ / / / / / / / / / / / / / / / / / / /

  10. 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 Energys (DOEs) 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).

  11. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons)

  12. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23

  13. RECS Archive

    Gasoline and Diesel Fuel Update (EIA)

    Data - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand &

  14. The Role of The fedeRal PRojecT diRecToR

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

    Role of The fedeRal PRojecT diRecToR: lessons fRom The naTional igniTion faciliTy The national ignition facility (nif) is home of the world's largest laser. With 192 laser beams that can deliver more than 60 times the energy of any previous laser system, NIF represents a significant step in enabling the study of high-energy density science, and should demonstrate fusion ignition and burn in the laboratory for the first time. The design and construction of this unique, highly complex facility

  15. Public Meeting: Physical Characterization of Smart and Grid-Connected Commercial and Residential Building End-Use Equipment and Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014.

  16. July 11 Public Meeting: Physical Characterization of Grid-Connected Commercial And Residential Building End-Use Equipment And Appliances

    Broader source: Energy.gov [DOE]

    These documents contain the three slide decks presented at the public meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances, held on July 11, 2014 in Washington, DC.

  17. Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01

    Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

  18. Refining and end use of coal liquids. Quarterly report, January--March 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

    A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An intregral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed. To enhance management of the study, the work has been divided into two parts, the Basic Program and Option 1. The objectives of the Basic Program are to: characterize the coal liquids; develop, an optimized refinery configuration for processing indirect and direct coal liquids; and develop a LP refinery model with the Process Industry Modeling System (PICS) software. The objectives of Option 1 are to: confirm the validity of the optimization work of the Basic Program; produce large quantities of liquid transportation fuel blending stocks; conduct engine emission tests; and determine the value and the processing costs of the coal liquids. The major efforts conducted during the first quarter of 1994 were in the areas of: subcontract preparation and negotiation; and linear programming modeling.

  19. NaREC Offshore and Drivetrain Test Facility Collaboration: Cooperative Research and Development Final Report, CRADA Number CRD-04-140

    SciTech Connect (OSTI)

    Musial, W.

    2014-08-01

    The National Renewable Energy Laboratory (NREL) and the National Renewable Energy Centre (NaREC) in the United Kingdom (UK) have a mutual interest in collaborating in the development of full-scale offshore wind energy and drivetrain testing facilities. NREL and NaREC will work together to share resources and experiences in the development of future wind energy test facilities. This Cooperative Research and Development Agreement (CRADA) includes sharing of test protocols, infrastructure cost data, test plans, pro forma contracting instruments, and safe operating strategies. Furthermore, NREL and NaREC will exchange staff for training and development purposes.

  20. Table 10.9 Photovoltaic Cell and Module Shipments by Sector and End Use, 1989-2010 (Peak Kilowatts )

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

    Photovoltaic Cell and Module Shipments by Sector and End Use, 1989-2010 (Peak Kilowatts 1 ) Year By Sector By End Use Total Residential Commercial 3 Industrial 4 Electric Power 5 Other 6 Grid-Connected 2 Off-Grid 2 Centralized 7 Distributed 8 Domestic 9 Non-Domestic 10 Total Shipments of Photovoltaic Cells and Modules 11<//td> 1989 1,439 6,057 [R] 3,993 785 551 [12] 1,251 [12] 2,620 8,954 12,825 1990 1,701 8,062 [R] 2,817 826 432 [12] 469 [12] 3,097 10,271 13,837 1991 3,624 5,715 [R] 3,947

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

    SciTech Connect (OSTI)

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

    2014-02-01

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

  2. End-use load control for power system dynamic stability enhancement

    SciTech Connect (OSTI)

    Dagle, J.E.; Winiarski, D.W.; Donnelly, M.K.

    1997-02-01

    Faced with the prospect of increasing utilization of the transmission and distribution infrastructure without significant upgrade, the domestic electric power utility industry is investing heavily in technologies to improve network dynamic performance through a program loosely referred to as Flexible AC Transmission System (FACTS). Devices exploiting recent advances in power electronics are being installed in the power system to offset the need to construct new transmission lines. These devices collectively represent investment potential of several billion dollars over the next decade. A similar development, designed to curtail the peak loads and thus defer new transmission, distribution, and generation investment, falls under a category of technologies referred to as demand side management (DSM). A subset of broader conservation measures, DSM acts directly on the load to reduce peak consumption. DSM techniques include direct load control, in which a utility has the ability to curtail specific loads as conditions warrant. A novel approach has been conceived by Pacific Northwest National Laboratory (PNNL) to combine the objectives of FACTS and the technologies inherent in DSM to provide a distributed power system dynamic controller. This technology has the potential to dramatically offset major investments in FACTS devices by using direct load control to achieve dynamic stability objectives. The potential value of distributed versus centralized grid modulation has been examined by simulating the western power grid under extreme loading conditions. In these simulations, a scenario is analyzed in which active grid stabilization enables power imports into the southern California region to be increased several hundred megawatts beyond present limitations. Modeling results show distributed load control is up to 30 percent more effective than traditional centralized control schemes in achieving grid stability.

  3. " Row: End Uses;"

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

    HVAC (e)",280,3,5,417,5,5,6.6 " Facility Lighting",212,"--","--","--","--","--",1.1 " ... HVAC (e)",41,2,3,68,1,"*",6.4 " Facility Lighting",33,"--","--","--","--","--",1.3 " Other ...

  4. " Row: End Uses;"

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

    HVAC (f)",285,4,4,378,5,2 " Facility Lighting",215,"--","--","--","--","--" " Other ... HVAC (f)",38,3,3,57,1,"*" " Facility Lighting",29,"--","--","--","--","--" " Other ...

  5. " Row: End Uses;"

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

    HVAC (f)",236,"Q",4,306,4,3 " Facility Lighting",177,"--","--","--","--","--" " Other ... HVAC (f)",29,"Q",3,45,1,"Q" " Facility Lighting",22,"--","--","--","--","--" " Other ...

  6. " Row: End Uses;" " ...

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

    ...,79355,1,1,392,1,"*","--",5.7 " Facility Lighting","--",61966,"--","--","--","--","--","--...707,"*",1,57,"*","*","--",7.2 " Facility Lighting","--",9494,"--","--","--","--","--","--"...

  7. " Row: End Uses;" " ...

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

    ..."--",271,4,6,403,4,4,"--",5.7 " Facility Lighting","--",211,"--","--","--","--","--","--",... *","--",7.2 " Facility Lighting","--",32,"--","--","--","--","--","--",1...

  8. " Row: End Uses;"

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

    HVAC (f)",83480,1,1,367,1,"*" " Facility Lighting",62902,"--","--","--","--","--" " Other ... (f)",11142,"*","*",56,"*","*" " Facility Lighting",8470,"--","--","--","--","--" " Other ...

  9. " Row: End Uses;" " ...

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

    ...f)","--",265,4,4,378,5,2,"--" " Facility Lighting","--",198,"--","--","--","--","--","--" ...f)","--",34,3,3,57,1,"*","--" " Facility Lighting","--",26,"--","--","--","--","--","--" " ...

  10. " Row: End Uses;" " ...

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

    ..."--",77768,1,1,367,1,"*","--" " Facility Lighting","--",58013,"--","--","--","--","--","--...,9988,"*","*",56,"*","*","--" " Facility Lighting","--",7651,"--","--","--","--","--","--" ...

  11. " Row: End Uses;" " ...

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

    ...","--",222,"Q",4,306,4,3,"--" " Facility Lighting","--",165,"--","--","--","--","--","--" ...","--",26,"Q",3,45,1,"Q","--" " Facility Lighting","--",20,"--","--","--","--","--","--" " ...

  12. " Row: End Uses;"

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

    (f)",69090,"*",1,297,1,"*" " Facility Lighting",51946,"--","--","--","--","--" " Other ... (f)",8543,"*",1,43,"*","*" " Facility Lighting",6524,"--","--","--","--","--" " Other ...

  13. " Row: End Uses;"

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

    (e)",81980,1,1,406,1,"*",6.6 " Facility Lighting",62019,"--","--","--","--","--",1.1 " ...)",12126,"*",1,66,"*","*",6.4 " Facility Lighting",9668,"--","--","--","--","--",1.3 " ...

  14. " Row: End Uses;" " ...

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

    ..."--",262,3,5,417,5,5,"--",6.6 " Facility Lighting","--",196,"--","--","--","--","--","--",..."--",38,2,3,68,1,"*","--",6.4 " Facility Lighting","--",30,"--","--","--","--","--","--",1...

  15. " Row: End Uses;" " ...

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

    ...,76840,1,1,406,1,"*","--",6.6 " Facility Lighting","--",57460,"--","--","--","--","--","--...241,"*",1,66,"*","*","--",6.4 " Facility Lighting","--",8831,"--","--","--","--","--","--"...

  16. " Row: End Uses;"

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (c) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (d) ...

  17. " Row: End Uses;" " ...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (c) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (d) ...

  18. Table 2.6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009

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

    6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009 Appliance Year Change 1978 1979 1980 1981 1982 1984 1987 1990 1993 1997 2001 2005 2009 1980 to 2009 Total Households (millions) 77 78 82 83 84 86 91 94 97 101 107 111 114 32 Percent of Households<//td> Space Heating - Main Fuel 1 Natural Gas 55 55 55 56 57 55 55 55 53 52 55 52 50 -5 Electricity 2 16 17 18 17 16 17 20 23 26 29 29 30 35 17 Liquefied Petroleum Gases 4 5 5 4 5 5 5 5 5 5 5 5 5 0 Distillate

  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. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014.

  1. 2014-04-30 Public Meeting Agenda: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

    This document is the agenda for the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting being held on April 30, 2014.

  2. Agenda for Public Meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

    Download the agenda below for the July 11 Public Meeting on the Physical Characterization of Grid-Connected Commercial and  Residential Buildings End-Use Equipment and Appliances.

  3. The use of negotiated agreements to improve efficiency of end-use appliances: First results from the European experience

    SciTech Connect (OSTI)

    Bertoldi, P.; Bowie, R.; Hagen, L.

    1998-07-01

    The European Union is pursuing measures to improve end-use equipment efficiency through a variety of policy instruments, in particular for domestic appliances. One of the most effective methods to achieve market transformation is through minimum efficiency performance standards (MEPS). However, after the difficulties and controversy following the adoption of legislation for MEPS for domestic refrigerators/freezers, a new policy instrument, i.e. negotiated agreements by manufacturers, has been investigated and tested for two type of appliances: domestic washing machines and TVs and VCRs. Based on the positive experience of the above two agreements, other products (e.g. dryers, dishwasher, electric water heaters, etc.) will be the subject of future negotiated agreements. Based on the results of the two negotiated agreements, this paper describes the energy efficiency potential, the procedures, and the advantages and disadvantages of negotiated agreements compared to legislated mandatory for MEPS, as developed in the European context. The paper concludes that negotiated agreements are a viable policy option, which allow flexibility in the implementation of the efficiency targets and therefore the adoption of cost-effective solutions for manufacturers. In addition, negotiated agreements can be implemented more quickly compared to mandatory MEPS and they allow a closer monitoring of the results. The main question asked in the paper is whether the negotiated agreements can deliver the results in the long term compared to what could be achieved through legislation. The European experience indicates that this instrument can deliver the results and that it offer a number of advantages compared to MEPS.

  4. Table 10.7 Solar Thermal Collector Shipments by Market Sector, End Use, and Type, 2001-2009 (Thousand Square Feet)

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

    Solar Thermal Collector Shipments by Market Sector, End Use, and Type, 2001-2009 (Thousand Square Feet) Year and Type By Market Sector By End Use Total Residential Commercial 1 Industrial 2 Electric Power 3 Other 4 Pool Heating Water Heating Space Heating Space Cooling Combined Heating 5 Process Heating Electricity Generation Total Shipments 6<//td> 2001 Total 10,125 1,012 17 1 35 10,797 274 70 0 12 34 2 11,189 Low 7 9,885 987 12 0 34 10,782 42 61 0 0 34 0 10,919 Medium 8 240 24 5 0 1 16

  5. April 30 Public Meeting: Physical Characterization of Smart and Grid-Connected Commercial and Residential Building End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014. The first document includes the first presentation from the meeting: DOE Vision and Objectives. The second document includes all other presentations from the meeting: Terminology and Definitions; End-User and Grid Services; Physical Characterization Framework; Value, Benefits & Metrics.

  6. The National Fuel End-Use Efficiency Field Test: Energy Savings and Performance of an Improved Energy Conservation Measure Selection Technique

    SciTech Connect (OSTI)

    Ternes, M.P.

    1991-01-01

    The performance of an advanced residential energy conservation measure (ECM) selection technique was tested in Buffalo, New York, to verify the energy savings and program improvements achieved from use of the technique in conservation programs and provide input into determining whether utility investments in residential gas end-use conservation are cost effective. The technique analyzes a house to identify all ECMs that are cost effective in the building envelope, space-heating system, and water-heating system. The benefit-to-cost ratio (BCR) for each ECM is determined and cost-effective ECMs (BCR > 1.0) are selected once interactions between ECMs are taken into account. Eighty-nine houses with the following characteristics were monitored for the duration of the field test: occupants were low-income, houses were single-family detached houses but not mobile homes, and primary space- and water-heating systems were gas-fired. Forty-five houses received a mix of ECMs as selected by the measure selection technique (audit houses) and 44 served as a control group. Pre-weatherization data were collected from January to April 1988 and post-weatherization data were collected from December 1988 to April 1989. Space- and waterheating gas consumption and indoor temperature were monitored weekly during the two winters. A house energy consumption model and regression analysis were employed to normalize the space-heating energy savings to average outdoor temperature conditions and a 68 F indoor temperature. Space and water-heating energy savings for the audit houses were adjusted by the savings for the control houses. The average savings of 257 therms/year for the audit houses was 17% of the average pre-weatherization house gas consumption and 78% of that predicted. Average space-heating energy savings was 252 therms/year (25% of pre-weatherization space-heating energy consumption and 85% of the predicted value) and average water-heating savings was 5 therms/year (2% of pre-weatherization water-heating energy consumption and 17% of predicted). The overall BCR for the ECMs was 1.24 using the same assumptions followed in the selection technique: no administration cost, residential fuel costs, real discount rate of 0.05, and no fuel escalation. A weatherization program would be cost effective at an administration cost less than $335/house. On average, the indoor temperature increased in the audit houses by 0.5 F following weatherization and decreased in the control houses by 0.1 F. The following conclusions regarding the measure selection technique were drawn from the study: (1) a significant cost-effective level of energy savings resulted, (2) space-heating energy savings and total installation costs were predicted with reasonable accuracy, indicating that the technique's recommendations are justified, (3) effectiveness improved from earlier versions and can continue to be improved, and (4) a wider variety of ECMs were installed compared to most weatherization programs. An additional conclusion of the study was that a significant indoor temperature take-back effect had not occurred.

  7. 1980 survey and evaluation of utility conservation, load management, and solar end-use projects. Volume 3: utility load management projects. Final report

    SciTech Connect (OSTI)

    Not Available

    1982-01-01

    The results of the 1980 survey of electric utility-sponsored energy conservation, load management, and end-use solar energy conversion projects are described. The work is an expansion of a previous survey and evaluation and has been jointly sponsored by EPRI and DOE through the Oak Ridge National Laboratory. There are three volumes and a summary document. Each volume presents the results of an extensive survey to determine electric utility involvement in customer-side projects related to the particular technology (i.e., conservation, solar, or load management), selected descriptions of utility projects and results, and first-level technical and economic evaluations.

  8. Xcel Energy REC Portfolio

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

    Xcel Energy Renewable Resources Jim Hill February 7, 2012 2 Xcel Energy Overview Northern States Power Company- Minnesota Northern States Power Company- Minnesota Northern States Power Company- Minnesota Northern States Power Company- Minnesota Public Service Company of Colorado Public Service Company of Colorado Public Service Company of Colorado Public Service Company of Colorado Southwestern Public Service Southwestern Public Service Southwestern Public Service Southwestern Public Service

  9. Energy balances in the production and end use of alcohols derived from biomass. A fuels-specific comparative analysis of alternate ethanol production cycles

    SciTech Connect (OSTI)

    Not Available

    1980-10-01

    Considerable public interest and debate have been focused on the so-called energy balance issue involved in the conversion of biomass materials into ethanol for fuel use. This report addresses questions of net gains in premium fuels that can be derived from the production and use of ethanol from biomass, and shows that for the US alcohol fuel program, energy balance need not be a concern. Three categories of fuel gain are discussed in the report: (1) Net petroleum gain; (2) Net premium fuel gain (petroleum and natural gas); and (3) Net energy gain (for all fuels). In this study the investment of energy (in the form of premium fuels) in alcohol production includes all investment from cultivating, harvesting, or gathering the feedstock and raw materials, through conversion of the feedstock to alcohol, to the delivery to the end-user. To determine the fuel gains in ethanol production, six cases, encompassing three feedstocks, five process fuels, and three process variations, have been examined. For each case, two end-uses (automotive fuel use and replacement of petrochemical feedstocks) were scrutinized. The end-uses were further divided into three variations in fuel economy and two different routes for production of ethanol from petrochemicals. Energy requirements calculated for the six process cycles accounted for fuels used directly and indirectly in all stages of alcohol production, from agriculture through distribution of product to the end-user. Energy credits were computed for byproducts according to the most appropriate current use.

  10. Table 3.4 Consumer Price Estimates for Energy by End-Use Sector, 1970-2010 (Dollars per Million Btu)

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

    Consumer Price Estimates for Energy by End-Use Sector, 1970-2010 (Dollars 1 per Million Btu) Year Residential Commercial Industrial Transportation Natural Gas 2 Petroleum Retail Electricity 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 1.06 1.54 6.51 2.10 0.75 0.90 [R] 6.09 1.97 0.45 0.38 0.98 1.59 2.99 0.84 2.31 2.31 1971 1.12 1.59 6.80 2.24 .80 1.02 6.44 2.15 .50 .41 1.05

  11. REC Solar | Open Energy Information

    Open Energy Info (EERE)

    Bay Area Sector: Solar Product: Solar installer Website: www.recsolar.comcmHome.html Coordinates: 37.3754586, -122.0085828 Show Map Loading map... "minzoom":false,"map...

  12. REC | OpenEI Community

    Open Energy Info (EERE)

    for Proposals rfp Deadline - July 31, 2014 The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  13. Office Buildings - End-Use Equipment

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

    Information Administration, 2003 Commercial Buildings Energy Consumption Survey. More computers, dedicated servers, printers, and photocopiers were used in office buildings than in...

  14. " Row: End Uses within NAICS Codes;"

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

    (g)",69090,"*",1,297,1,"*" ," Facility Lighting",51946,"--","--","--","--","--" ," Other ... (g)",6192,"*","*",32,"*","*" ," Facility Lighting",6082,"--","--","--","--","--" ," Other ...

  15. " Row: End Uses within NAICS Codes;"

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

    HVAC (g)",236,"Q",4,306,4,3 ," Facility Lighting",177,"--","--","--","--","--" ," Other ... (g)",21,"*","Q",33,"*","*" ," Facility Lighting",21,"--","--","--","--","--" ," Other ...

  16. " Row: End Uses within NAICS Codes;"

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

    ...)","--",265,4,4,378,5,2,"--" ," Facility Lighting","--",198,"--","--","--","--","--","--" ...--",21,"*","*",30,1,"*","--" ," Facility Lighting","--",18,"--","--","--","--","--","--" ...

  17. " Row: End Uses within NAICS Codes;"

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

    ...--",77768,1,1,367,1,"*","--" ," Facility Lighting","--",58013,"--","--","--","--","--","--...6036,"*","*",29,"*","*","--" ," Facility Lighting","--",5291,"--","--","--","--","--","--" ...

  18. " Row: End Uses within NAICS Codes;"

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

    (g)",83480,1,1,367,1,"*" ," Facility Lighting",62902,"--","--","--","--","--" ," Other ... (g)",6217,"*","*",29,"*","*" ," Facility Lighting",5472,"--","--","--","--","--" ," Other ...

  19. " Row: End Uses within NAICS Codes;"

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

    (f)",84678,1,1,392,1,"*",5.7 ," Facility Lighting",66630,"--","--","--","--","--",1 ," ...,5402,"*","*",26,"*","*",2.2 ," Facility Lighting",4785,"--","--","--","--","--",1 ," ...

  20. " Row: End Uses within NAICS Codes;"

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

    ...",64945,"*",1,297,1,"*","--" ," Facility Lighting","--",48453,"--","--","--","--","--","--...5949,"*","*",32,"*","*","--" ," Facility Lighting","--",5809,"--","--","--","--","--","--" ...

  1. " Row: End Uses within NAICS Codes;"

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

    (g)",81980,1,1,406,1,"*",6.6 ," Facility Lighting",62019,"--","--","--","--","--",1.1 ," ...5037,"*","*",36,"*","*",11.3 ," Facility Lighting",4826,"--","--","--","--","--",1.3 ," ...

  2. " Row: End Uses within NAICS Codes;"

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

    ...79355,1,1,392,1,"*","--",5.7 ," Facility Lighting","--",61966,"--","--","--","--","--","--...,"*","*",26,"*","*","--",2.2 ," Facility Lighting","--",4492,"--","--","--","--","--","--"...

  3. " Row: End Uses within NAICS Codes;"

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

    (g)",280,3,5,417,5,5,6.6 ," Facility Lighting",212,"--","--","--","--","--",1.1 ," ...g)",17,"*","*",37,1,"*",11.3 ," Facility Lighting",16,"--","--","--","--","--",1.3 ," ...

  4. " Row: End Uses within NAICS Codes;"

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

    (f)",289,4,6,403,4,4,5.7 ," Facility Lighting",227,"--","--","--","--","--",1 ," Other ... (f)",18,1,1,26," *"," *",2.2 ," Facility Lighting",16,"--","--","--","--","--",1 ," Other ...

  5. " Row: End Uses within NAICS Codes;"

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

    ...,"--",222,"Q",4,306,4,3,"--" ," Facility Lighting","--",165,"--","--","--","--","--","--" ...",20,"*","Q",33,"*","*","--" ," Facility Lighting","--",20,"--","--","--","--","--","--" ...

  6. " Row: End Uses within NAICS Codes;"

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

    ...--",271,4,6,403,4,4,"--",5.7 ," Facility Lighting","--",211,"--","--","--","--","--","--",... *"," *","--",2.2 ," Facility Lighting","--",15,"--","--","--","--","--","--",1 ...

  7. " Row: End Uses within NAICS Codes;"

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

    ...--",262,3,5,417,5,5,"--",6.6 ," Facility Lighting","--",196,"--","--","--","--","--","--",...6,"*","*",37,1,"*","--",11.3 ," Facility Lighting","--",15,"--","--","--","--","--","--",1...

  8. " Row: End Uses within NAICS Codes;"

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

    HVAC (g)",285,4,4,378,5,2 ," Facility Lighting",215,"--","--","--","--","--" ," Other ... (g)",21,"*","*",30,1,"*" ," Facility Lighting",19,"--","--","--","--","--" ," Other ...

  9. " Row: End Uses within NAICS Codes;"

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

    ...76840,1,1,406,1,"*","--",6.6 ," Facility Lighting","--",57460,"--","--","--","--","--","--..."*","*",36,"*","*","--",11.3 ," Facility Lighting","--",4526,"--","--","--","--","--","--"...

  10. End-Use Taxes: Current EIA Practices

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

    However, many States levy taxes on aviation fuel, as shown in Table B3 in Appendix B, based on information obtained from State TaxationRevenue Offices. The use of the national...

  11. Alabama Natural Gas Consumption by End Use

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

    534,779 598,514 666,712 615,407 634,678 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 10,163 10,367 12,389 12,456 10,055 1983-2014 Plant Fuel 6,441 6,939 6,616 6,804 6,462 1983-2014 Pipeline & Distribution Use 22,124 23,091 25,349 22,166 18,688 1997-2014 Volumes Delivered to Consumers 496,051 558,116 622,359 573,981 599,473 640,707 1997-2015 Residential 42,215 36,582 27,580 35,059 38,971 31,794 1967-2015 Commercial 27,071 25,144 21,551 25,324 27,515 24,519 1967-2015 Industrial 144,938

  12. Alaska Natural Gas Consumption by End Use

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

    333,312 335,458 343,110 332,298 327,428 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 211,918 208,531 214,335 219,190 219,451 1983-2014 Plant Fuel 37,316 35,339 37,397 36,638 36,707 1983-2014 Pipeline & Distribution Use 3,284 3,409 3,974 544 309 1997-2014 Volumes Delivered to Consumers 80,794 88,178 87,404 75,926 70,960 70,027 1997-2015 Residential 18,714 20,262 21,380 19,215 17,734 18,468 1967-2015 Commercial 15,920 19,399 19,898 18,694 17,925 19,281 1967-2015 Industrial 6,408 6,769

  13. Arizona Natural Gas Consumption by End Use

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

    330,914 288,802 332,068 332,073 307,946 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 19 17 12 4 3 1983-2014 Pipeline & Distribution Use 15,447 13,158 12,372 12,619 13,484 1997-2014 Volumes Delivered to Consumers 315,448 275,627 319,685 319,450 294,459 336,195 1997-2015 Residential 37,812 38,592 34,974 39,692 32,397 34,215 1967-2015 Commercial 31,945 32,633 31,530 32,890 30,456 30,537 1967-2015 Industrial 19,245 21,724 22,657 22,153 22,489 19,991 1997-2015 Vehicle Fuel 2,015 1,712

  14. Arkansas Natural Gas Consumption by End Use

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

    244,193 271,515 284,076 296,132 282,120 268,453 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 4,091 5,340 6,173 6,599 6,605 6,452 1983-2014 Plant Fuel 489 529 423 622 797 871...

  15. Louisiana Natural Gas Consumption by End Use

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

    17,378 117,825 109,098 112,861 116,396 123,498 2001-2015 Residential 1,292 1,202 1,354 1,531 2,380 3,756 1989-2015 Commercial 1,804 1,902 2,214 2,286 2,789 2,970 1989-2015 Industrial 77,300 80,789 78,022 79,787 81,870 85,489 2001-2015 Vehicle Fuel 5 5 4 5 4 5 2010-2015 Electric Power 36,977 33,927 27,504 29,252 29,353 31,279

  16. Maine Natural Gas Consumption by End Use

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

    NA NA NA NA NA NA 2001-2015 Residential 46 45 46 136 232 298 1989-2015 Commercial 409 425 415 569 779 961 1989-2015 Industrial NA NA NA NA NA NA 2001-2015 Vehicle Fuel 0 0 0 0 0 0 2010-2015 Electric Power 1,132 1,839 1,538 2,483 1,813 1,42

  17. Maryland Natural Gas Consumption by End Use

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

    12,233 10,397 9,762 12,704 16,455 18,593 2001-2015 Residential 1,624 1,557 1,518 3,820 6,137 8,243 1989-2015 Commercial 2,900 2,967 2,932 4,663 5,844 6,571 1989-2015 Industrial 1,118 906 1,131 1,242 1,266 1,302 2001-2015 Vehicle Fuel 20 20 19 20 19 20 2010-2015 Electric Power 6,571 4,947 4,162 2,959 3,188 2,45

  18. Massachusetts Natural Gas Consumption by End Use

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

    31,404 31,673 25,692 29,699 31,148 36,395 2001-2015 Residential 2,619 2,442 2,465 5,784 9,387 12,553 1989-2015 Commercial 3,912 3,873 4,066 7,399 9,210 10,044 1989-2015 Industrial 2,219 2,286 2,507 3,055 4,108 4,110 2001-2015 Vehicle Fuel 70 70 67 70 67 70 2010-2015 Electric Power 22,583 23,001 16,586 13,391 8,375 9,618

  19. Michigan Natural Gas Consumption by End Use

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

    39,804 37,730 38,018 55,280 71,432 87,181 2001-2015 Residential 5,722 6,026 6,164 16,846 29,138 36,400 1989-2015 Commercial 5,155 5,500 5,306 9,388 13,375 18,235 1989-2015 Industrial 11,349 11,437 11,698 13,570 14,366 15,847 2001-2015 Vehicle Fuel 34 34 33 34 33 34 2010-2015 Electric Power 17,544 14,732 14,817 15,441 14,519 16,664

  20. Minnesota Natural Gas Consumption by End Use

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

    22,461 22,087 22,872 27,097 35,845 NA 2001-2015 Residential 2,322 2,587 2,362 5,207 10,741 18,067 1989-2015 Commercial 2,540 2,910 2,786 5,206 8,381 12,550 1989-2015 Industrial 10,321 10,272 11,305 13,280 13,605 NA 2001-2015 Vehicle Fuel 4 4 4 4 4 4 2010-2015 Electric Power 7,274 6,314 6,416 3,400 3,113 5,725

  1. Mississippi Natural Gas Consumption by End Use

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

    45,832 43,363 NA 37,302 NA 40,203 2001-2015 Residential 466 428 512 796 NA 2,377 1989-2015 Commercial 785 889 NA 1,277 NA 1,725 1989-2015 Industrial 9,730 9,838 9,911 11,304 10,334 10,524 2001-2015 Vehicle Fuel 2 2 2 2 2 2 2010-2015 Electric Power 34,848 32,206 26,810 23,923 25,741 25,574

  2. Montana Natural Gas Consumption by End Use

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

    ,334 NA 3,662 4,787 7,811 9,316 2001-2015 Residential 381 377 494 1,042 2,634 3,260 1989-2015 Commercial 597 584 689 1,158 2,508 3,107 1989-2015 Industrial 1,438 NA 1,709 1,873 2,004 2,173 2001-2015 Vehicle Fuel 0 0 0 0 0 0 2010-2015 Electric Power 918 803 770 714 666 777

  3. Nebraska Natural Gas Consumption by End Use

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

    10,715 9,420 8,366 9,672 13,194 16,498 2001-2015 Residential 790 684 667 1,053 2,858 5,497 1989-2015 Commercial 1,223 1,010 932 1,558 2,619 3,974 1989-2015 Industrial 7,440 6,832 6,257 7,056 7,553 6,885 2001-2015 Vehicle Fuel 5 5 5 5 5 5 2010-2015 Electric Power 1,257 890 505 W 160 137

  4. Nevada Natural Gas Consumption by End Use

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

    24,653 NA NA 22,739 NA 30,673 2001-2015 Residential 1,108 1,176 1,215 1,440 4,172 7,264 1989-2015 Commercial 1,598 1,709 1,662 1,970 3,091 4,015 1989-2015 Industrial 1,165 NA NA 1,182 NA 1,200 2001-2015 Vehicle Fuel 60 60 58 60 58 60 2010-2015 Electric Power 20,722 22,904 20,109 18,088 15,282 18,13

  5. Colorado Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    8,936 19,060 19,128 22,856 40,791 49,929 2001-2015 Residential 2,725 2,476 3,036 5,976 16,679 23,229 1989-2015 Commercial 1,568 1,456 1,694 2,859 6,789 9,397 1989-2015 Industrial 4,997 4,987 4,790 5,823 7,640 8,931 2001-2015 Vehicle Fuel 27 27 26 27 26 27 2010-2015 Electric Power 9,620 10,114 9,582 8,172 9,658 8,346

  6. Florida Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    124,560 126,037 118,468 114,127 106,003 105,637 2001-2015 Residential 833 634 632 1,081 1,216 1,440 1989-2015 Commercial 4,734 4,651 4,441 5,003 5,214 5,660 1989-2015 Industrial 7,672 7,362 7,385 7,997 7,774 8,933 2001-2015 Vehicle Fuel 18 18 17 18 17 18 2010-2015 Electric Power 111,305 113,372 105,993 100,028 91,782 89,5

  7. Georgia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    58,820 54,742 49,172 52,445 55,858 56,505 2001-2015 Residential 3,662 3,731 3,794 5,873 10,248 11,943 1989-2015 Commercial 2,164 2,274 2,417 3,159 4,695 5,185 1989-2015 Industrial 12,955 12,710 12,244 13,714 13,291 13,391 2001-2015 Vehicle Fuel 99 99 96 99 96 99 2010-2015 Electric Power 39,940 35,927 30,621 29,598 27,527 25,8

  8. Hawaii Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    243 240 233 240 228 251 2001-2015 Residential 45 43 41 44 44 47 1989-2015 Commercial 159 156 153 152 148 167 1989-2015 Industrial 38 41 37 43 36 36 2001-2015 Vehicle Fuel 1 1 1 1 1 1 2010-2015 Electric Power -- -- -- -- -- --

  9. Idaho Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    6,426 NA 6,838 NA NA 13,715 2001-2015 Residential 464 359 638 995 3,624 4,740 1989-2015 Commercial 625 583 694 1,066 2,068 2,719 1989-2015 Industrial 2,094 NA 2,564 NA NA 3,403 2001-2015 Vehicle Fuel 13 13 13 13 13 13 2010-2015 Electric Power 3,230 3,645 2,930 2,500 2,240 2,840

  10. Illinois Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    5,724 42,537 43,969 57,973 NA 107,844 2001-2015 Residential 7,939 7,946 8,021 18,056 35,960 50,744 1989-2015 Commercial 7,162 7,573 7,821 12,312 NA 24,179 1989-2015 Industrial 19,474 19,033 19,312 21,016 24,322 25,140 2001-2015 Vehicle Fuel 29 29 28 29 28 29 2010-2015 Electric Power 11,120 7,957 8,788 6,560 7,008 7,753

  11. Indiana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    3,339 43,297 39,873 48,080 59,575 72,031 2001-2015 Residential 2,234 2,242 2,432 5,799 11,746 16,881 1989-2015 Commercial 2,324 2,749 2,784 4,720 6,409 8,381 1989-2015 Industrial 28,293 28,167 26,713 28,848 29,980 33,462 2001-2015 Vehicle Fuel 2 2 2 2 2 2 2010-2015 Electric Power 10,486 10,138 7,942 8,711 11,439 13,305

  12. Iowa Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    19,248 18,504 17,814 21,170 NA 32,191 2001-2015 Residential 1,171 1,036 1,260 2,268 5,686 8,921 1989-2015 Commercial 1,567 1,468 1,716 3,156 NA 6,246 1989-2015 Industrial 13,445 13,635 13,086 14,826 14,751 15,399 2001-2015 Vehicle Fuel 2 2 1 2 1 2 2010-2015 Electric Power 3,063 2,364 1,750 918 530 1,623

  13. Kansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    7,191 NA 11,628 12,195 NA 24,751 2001-2015 Residential 1,147 1,061 1,075 1,701 NA 8,698 1989-2015 Commercial 1,492 NA 1,164 1,755 2,731 4,161 1989-2015 Industrial 11,127 9,693 7,725 8,738 8,919 11,086 2001-2015 Vehicle Fuel 1 1 1 1 1 1 2010-2015 Electric Power 3,425 2,353 1,662 W W 804

  14. Kentucky Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    6,787 15,592 15,333 18,190 21,975 22,413 2001-2015 Residential 858 849 845 1,565 3,977 5,585 1989-2015 Commercial 1,139 1,152 1,154 1,709 2,925 3,570 1989-2015 Industrial 8,478 8,791 8,464 8,840 9,759 9,943 2001-2015 Vehicle Fuel 2 2 2 2 2 2 2010-2015 Electric Power 6,310 4,798 4,867 6,074 5,312 3,312

  15. Massachusetts Natural Gas Consumption by End Use

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

    432,297 449,194 416,350 421,001 418,526 1997-2014 Pipeline & Distribution Use 3,827 4,657 3,712 2,759 6,258 1997-2014 Volumes Delivered to Consumers 428,471 444,537 412,637 418,241 412,268 434,781 1997-2015 Residential 125,602 129,217 115,310 116,867 126,902 125,463 1967-2015 Commercial 72,053 81,068 73,040 99,781 105,801 105,809 1967-2015 Industrial 44,239 47,590 43,928 46,677 45,581 46,186 1997-2015 Vehicle Fuel 735 760 761 699 820 831 1988-2015 Electric Power 185,842 185,903 179,598

  16. Michigan Natural Gas Consumption by End Use

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

    46,748 776,466 790,642 814,635 850,974 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 6,626 5,857 7,428 7,248 5,948 1983-2014 Plant Fuel 1,684 1,303 1,174 1,071 1,152 1983-2014 Pipeline & Distribution Use 24,904 23,537 20,496 18,713 19,347 1997-2014 Volumes Delivered to Consumers 713,533 745,769 761,544 787,603 824,527 NA 1997-2015 Residential 304,330 318,004 276,778 334,211 354,713 319,680 1967-2015 Commercial 152,350 163,567 144,609 171,519 186,413 172,156 1967-2015 Industrial 143,351

  17. Minnesota Natural Gas Consumption by End Use

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

    422,968 420,770 422,263 467,874 473,310 1997-2014 Pipeline & Distribution Use 15,465 15,223 12,842 11,626 12,657 1997-2014 Volumes Delivered to Consumers 407,503 405,547 409,421 456,247 460,653 NA 1997-2015 Residential 122,993 125,160 109,103 139,897 146,647 119,119 1967-2015 Commercial 89,963 94,360 83,174 105,937 110,905 93,865 1967-2015 Industrial 158,457 157,776 159,947 160,732 173,556 NA 1997-2015 Vehicle Fuel 14 7 7 41 49 32 1988-2015 Electric Power 36,076 28,244 57,190 49,640 29,496

  18. Mississippi Natural Gas Consumption by End Use

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

    438,733 433,538 494,016 420,594 412,979 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 10,388 2,107 3,667 2,663 1,487 1983-2014 Plant Fuel 1,155 1,042 1,111 1,103 1,310 1983-2014 Pipeline & Distribution Use 28,117 28,828 48,497 23,667 19,787 1997-2014 Volumes Delivered to Consumers 399,073 401,561 440,741 393,161 390,396 NA 1997-2015 Residential 27,152 24,303 19,572 25,185 28,358 NA 1967-2015 Commercial 21,179 20,247 17,834 19,483 22,195 NA 1967-2015 Industrial 115,489 112,959 111,995

  19. Missouri Natural Gas Consumption by End Use

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

    280,181 272,583 255,875 276,967 296,605 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 0 0 0 0 * 1984-2014 Pipeline & Distribution Use 5,820 7,049 4,973 5,626 6,184 1997-2014 Volumes Delivered to Consumers 274,361 265,534 250,902 271,341 290,421 271,116 1997-2015 Residential 107,389 102,545 83,106 106,446 115,512 102,814 1967-2015 Commercial 61,194 62,304 54,736 64,522 72,919 65,595 1967-2015 Industrial 65,554 63,053 62,516 63,212 67,115 65,349 1997-2015 Vehicle Fuel 7 6 6 42 49 31

  20. Montana Natural Gas Consumption by End Use

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

    72,025 78,217 73,399 79,670 78,010 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 3,265 2,613 3,845 3,845 1,793 1983-2014 Plant Fuel 800 604 612 645 657 1983-2014 Pipeline & Distribution Use 7,442 6,888 6,979 6,769 4,126 1997-2014 Volumes Delivered to Consumers 60,517 68,113 61,963 68,410 71,435 NA 1997-2015 Residential 20,875 21,710 19,069 20,813 21,379 18,772 1967-2015 Commercial 20,459 22,336 19,205 20,971 21,549 NA 1967-2015 Industrial 18,478 19,386 18,319 19,352 22,084 NA 1997-2015

  1. Nebraska Natural Gas Consumption by End Use

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

    168,944 171,777 158,757 173,376 172,749 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 331 287 194 194 62 1983-2014 Plant Fuel 0 0 0 0 0 1983-2014 Pipeline & Distribution Use 7,329 9,270 7,602 6,949 7,066 1997-2014 Volumes Delivered to Consumers 161,284 162,219 150,961 166,233 165,620 149,107 1997-2015 Residential 40,132 39,717 31,286 41,229 42,147 33,830 1967-2015 Commercial 31,993 32,115 26,503 32,214 32,407 28,474 1967-2015 Industrial 85,180 86,128 85,439 88,140 86,878 82,326

  2. Nevada Natural Gas Consumption by End Use

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

    59,251 249,971 273,502 272,965 252,097 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 4 3 4 3 3 1988-2014 Pipeline & Distribution Use 2,992 4,161 6,256 4,954 4,912 1997-2014 Volumes Delivered to Consumers 256,256 245,807 267,242 268,008 247,182 NA 1997-2015 Residential 39,379 40,595 37,071 41,664 35,135 36,592 1967-2015 Commercial 29,475 30,763 28,991 31,211 29,105 29,614 1967-2015 Industrial 10,728 11,080 11,299 13,209 14,324 NA 1997-2015 Vehicle Fuel 837 591 589 597 701 682 1988-2015

  3. Ohio Natural Gas Consumption by End Use

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

    784,293 823,548 842,959 912,403 1,000,231 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 773 781 836 1,079 4,247 1983-2014 Plant Fuel 0 0 127 202 468 1983-2014 Pipeline & Distribution Use 15,816 14,258 9,559 10,035 12,661 1997-2014 Volumes Delivered to Consumers 767,704 808,509 832,437 901,087 982,855 949,865 1997-2015 Residential 283,703 286,132 250,871 297,361 320,568 289,683 1967-2015 Commercial 156,407 161,408 145,482 168,233 183,105 169,515 1967-2015 Industrial 269,287 268,034

  4. Oklahoma Natural Gas Consumption by End Use

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

    675,727 655,919 691,661 658,569 640,607 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 39,489 40,819 43,727 45,581 50,621 1983-2014 Plant Fuel 23,238 24,938 27,809 32,119 36,231 1983-2014 Pipeline & Distribution Use 30,611 30,948 32,838 41,813 45,391 1997-2014 Volumes Delivered to Consumers 582,389 559,215 587,287 539,056 508,363 544,200 1997-2015 Residential 65,429 61,387 49,052 66,108 69,050 59,675 1967-2015 Commercial 41,822 40,393 36,106 44,238 46,986 42,383 1967-2015 Industrial

  5. Oregon Natural Gas Consumption by End Use

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

    239,325 199,419 215,830 240,418 220,076 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 31 39 44 44 25 1983-2014 Pipeline & Distribution Use 6,394 5,044 4,554 4,098 3,686 1997-2014 Volumes Delivered to Consumers 232,900 194,336 211,232 236,276 216,365 233,523 1997-2015 Residential 40,821 46,604 43,333 46,254 41,185 37,930 1967-2015 Commercial 27,246 30,359 28,805 30,566 28,377 26,502 1967-2015 Industrial 55,822 56,977 57,506 57,372 56,522 54,931 1997-2015 Vehicle Fuel 183 144 144 154 181

  6. Pennsylvania Natural Gas Consumption by End Use

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

    879,365 965,742 1,037,979 1,121,696 1,203,418 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 19,805 46,784 79,783 115,630 112,847 1983-2014 Plant Fuel 881 963 2,529 9,200 11,602 1983-2014 Pipeline & Distribution Use 47,470 51,220 37,176 37,825 36,323 1997-2014 Volumes Delivered to Consumers 811,209 866,775 918,490 959,041 1,042,647 1,078,193 1997-2015 Residential 223,642 219,446 197,313 231,861 254,816 242,098 1967-2015 Commercial 141,699 141,173 126,936 149,114 159,636 156,887

  7. Tennessee Natural Gas Consumption by End Use

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

    257,443 264,231 277,127 279,441 303,996 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 214 231 335 335 142 1983-2014 Plant Fuel 148 145 150 142 128 1983-2014 Pipeline & Distribution Use 10,081 11,655 9,880 6,660 5,913 1997-2014 Volumes Delivered to Consumers 247,000 252,200 266,762 272,304 297,814 306,194 1997-2015 Residential 74,316 67,190 53,810 71,241 78,385 67,951 1967-2015 Commercial 56,194 52,156 44,928 53,888 57,427 53,995 1967-2015 Industrial 94,320 106,522 105,046 110,475

  8. Texas Natural Gas Consumption by End Use

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

    3,574,398 3,693,905 3,850,331 4,021,851 4,088,445 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 157,751 147,268 163,325 198,208 213,481 1983-2014 Plant Fuel 151,818 155,358 171,359 178,682 184,723 1983-2014 Pipeline & Distribution Use 79,817 85,549 138,429 294,316 274,451 1997-2014 Volumes Delivered to Consumers 3,185,011 3,305,730 3,377,217 3,350,645 3,415,789 3,589,916 1997-2015 Residential 226,445 199,958 169,980 207,148 234,520 199,288 1967-2015 Commercial 188,796 184,475 161,273

  9. Utah Natural Gas Consumption by End Use

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

    219,213 222,227 223,039 247,285 242,457 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 22,022 23,209 28,165 28,165 25,336 1983-2014 Plant Fuel 1,616 3,063 3,031 5,996 4,782 1983-2014 Pipeline & Distribution Use 10,347 11,374 12,902 13,441 14,061 1997-2014 Volumes Delivered to Consumers 185,228 184,581 178,941 199,684 198,278 187,452 1997-2015 Residential 66,087 70,076 59,801 70,491 62,458 58,177 1967-2015 Commercial 38,461 40,444 35,363 41,398 38,156 35,552 1967-2015 Industrial 32,079

  10. Vermont Natural Gas Consumption by End Use

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

    8,443 8,611 8,191 9,602 10,678 1997-2014 Pipeline & Distribution Use 16 53 114 89 124 1997-2014 Volumes Delivered to Consumers 8,428 8,558 8,077 9,512 10,554 NA 1997-2015 Residential 3,078 3,214 3,012 3,415 3,826 3,754 1980-2015 Commercial 2,384 2,479 2,314 4,748 4,830 NA 1980-2015 Industrial 2,909 2,812 2,711 1,303 1,858 NA 1997-2015 Vehicle Fuel 1 3 3 3 3 3 1997-2015 Electric Power 55 49 38 44 36 19

  11. Virginia Natural Gas Consumption by End Use

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

    375,421 373,444 410,106 418,506 419,615 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 6,121 7,206 8,408 8,408 7,252 1983-2014 Pipeline & Distribution Use 10,091 13,957 9,443 8,475 7,424 1997-2014 Volumes Delivered to Consumers 359,208 352,281 392,255 401,623 404,939 NA 1997-2015 Residential 88,157 79,301 70,438 85,702 92,817 83,512 1967-2015 Commercial 68,911 64,282 60,217 68,126 72,164 67,597 1967-2015 Industrial 62,243 66,147 71,486 75,998 81,040 NA 1997-2015 Vehicle Fuel 142 267 266

  12. Washington Natural Gas Consumption by End Use

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

    285,726 264,589 264,540 318,292 307,021 1997-2014 Lease and Plant Fuel 1967-1992 Pipeline & Distribution Use 7,587 6,644 9,184 10,144 8,933 1997-2014 Volumes Delivered to Consumers 278,139 257,945 255,356 308,148 298,088 NA 1997-2015 Residential 75,554 85,393 79,892 83,365 78,750 71,818 1967-2015 Commercial 51,335 56,487 53,420 55,805 54,457 49,906 1967-2015 Industrial 71,280 76,289 78,196 80,889 79,439 NA 1997-2015 Vehicle Fuel 436 510 512 418 491 524 1988-2015 Electric Power 79,535 39,265

  13. Alabama Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    56,930 54,897 50,117 49,292 50,501 54,716 2001-2015 Residential 702 694 671 934 2,031 3,411 1989-2015 Commercial 1,088 1,131 1,174 1,513 2,317 2,366 1989-2015 Industrial 15,749 15,311 14,897 15,292 15,100 15,670 2001-2015 Vehicle Fuel 19 19 18 19 18 19 2010-2015 Electric Power 39,373 37,742 33,356 31,534 31,034 33,249

  14. Alaska Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    3,931 3,785 4,473 5,317 6,929 7,958 2001-2015 Residential 493 527 1,033 1,422 2,306 2,670 1989-2015 Commercial 713 766 1,253 1,451 2,103 2,558 1989-2015 Industrial 359 375 323 348 354 393 2001-2015 Vehicle Fuel 1 1 1 1 1 1 2010-2015 Electric Power 2,365 2,116 1,863 2,096 2,164 2,336

  15. Arizona Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    38,296 42,499 35,461 29,557 25,804 30,415 2001-2015 Residential 1,056 971 1,072 1,334 3,107 6,609 1989-2015 Commercial 1,758 1,654 1,714 1,918 3,014 4,130 1989-2015 Industrial 1,468 1,457 1,417 1,572 1,844 1,988 2001-2015 Vehicle Fuel 173 173 167 173 167 173 2010-2015 Electric Power 33,842 38,244 31,091 24,561 17,672 17,515

  16. Arkansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    22,018 21,854 17,958 14,702 18,552 22,561 2001-2015 Residential 557 514 546 731 2,155 3,933 1989-2015 Commercial 2,308 2,444 2,571 3,048 3,863 4,724 1989-2015 Industrial 6,345 6,370 6,286 6,790 7,098 7,148 2001-2015 Vehicle Fuel 3 3 3 3 3 3 2010-2015 Electric Power 12,805 12,523 8,552 4,130 5,434 6,754

  17. California Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    92,918 199,015 189,292 186,757 195,837 235,282 2001-2015 Residential 19,107 17,560 17,188 19,412 44,802 73,730 1989-2015 Commercial 15,962 16,537 15,250 16,321 26,389 29,820 1989-2015 Industrial 70,121 71,776 66,196 64,699 63,799 67,213 2001-2015 Vehicle Fuel 1,408 1,408 1,363 1,408 1,363 1,408 2010-2015 Electric Power 86,319 91,733 89,295 84,917 59,484 63,111

  18. Tennessee Natural Gas Consumption by End Use

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

    19,267 17,907 18,246 18,807 24,268 29,015 2001-2015 Residential 1,032 1,028 1,163 1,982 4,847 7,765 1989-2015 Commercial 2,060 2,125 2,259 3,080 4,707 5,273 1989-2015 Industrial 8,573 8,743 8,683 9,162 9,248 9,813 2001-2015 Vehicle Fuel 9 9 8 9 8 9 2010-2015 Electric Power 7,594 6,002 6,133 4,574 5,458 6,1

  19. Texas Natural Gas Consumption by End Use

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

    329,042 332,621 291,178 276,726 267,183 307,656 2001-2015 Residential 6,189 4,587 5,116 5,934 9,793 24,772 1989-2015 Commercial 10,630 9,295 9,558 10,313 12,553 17,584 1989-2015 Industrial 130,522 132,785 125,076 128,958 134,340 141,897 2001-2015 Vehicle Fuel 300 300 290 300 290 300 2010-2015 Electric Power 181,401 185,654 151,139 131,222 110,207 123,103

  20. Ohio Natural Gas Consumption by End Use

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

    50,025 48,583 46,019 55,863 74,007 88,545 2001-2015 Residential 5,084 4,792 4,741 12,359 22,384 31,154 1989-2015 Commercial 4,753 4,790 4,535 9,220 12,881 16,455 1989-2015 Industrial 19,742 19,354 18,786 20,416 22,796 23,708 2001-2015 Vehicle Fuel 30 30 29 30 29 30 2010-2015 Electric Power 20,417 19,618 17,928 13,838 15,918 17,199

  1. Oklahoma Natural Gas Consumption by End Use

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

    45,577 43,618 38,010 34,185 42,019 50,354 2001-2015 Residential 1,271 1,095 1,169 1,308 2,614 6,999 1989-2015 Commercial 1,553 1,502 1,509 1,638 2,339 4,093 1989-2015 Industrial 12,322 13,036 15,155 14,917 16,551 16,204 2001-2015 Vehicle Fuel 34 34 33 34 33 34 2010-2015 Electric Power 30,396 27,950 20,143 16,289 20,482 23,024

  2. Oregon Natural Gas Consumption by End Use

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

    17,872 17,582 18,287 18,493 25,529 28,283 2001-2015 Residential 860 841 1,217 1,804 5,854 7,090 1989-2015 Commercial 968 948 1,217 1,552 3,444 4,307 1989-2015 Industrial 4,016 4,163 4,085 4,375 4,834 5,261 2001-2015 Vehicle Fuel 15 15 15 15 15 15 2010-2015 Electric Power 12,013 11,616 11,754 10,746 11,382 11,609

  3. Pennsylvania Natural Gas Consumption by End Use

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

    74,666 73,764 67,203 78,980 87,069 96,515 2001-2015 Residential 4,230 4,143 4,892 11,789 18,582 24,976 1989-2015 Commercial 4,493 4,751 5,319 10,093 13,175 15,188 1989-2015 Industrial 17,977 17,360 17,224 18,923 19,211 20,699 2001-2015 Vehicle Fuel 31 31 30 31 30 31 2010-2015 Electric Power 47,934 47,480 39,738 38,145 36,071 35,62

  4. Wyoming Natural Gas Consumption by End Use

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

    4,559 4,334 4,513 4,917 7,317 9,112 2001-2015 Residential 250 205 313 415 1,468 2,262 1989-2015 Commercial 401 283 478 537 1,585 2,273 1989-2015 Industrial 3,906 3,844 3,720 3,963 4,262 4,575 2001-2015 Vehicle Fuel 2 2 2 2 2 2 2010-2015 Electric Power W W W W W W

  5. California Natural Gas Consumption by End Use

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

    2,273,128 2,153,186 2,403,494 2,415,571 2,344,977 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 64,931 44,379 51,154 49,846 54,288 1983-2014 Plant Fuel 2,370 2,253 2,417 2,834 2,361 1983-2014 Pipeline & Distribution Use 9,741 10,276 12,906 10,471 22,897 1997-2014 Volumes Delivered to Consumers 2,196,086 2,096,279 2,337,017 2,352,421 2,265,431 2,257,216 1997-2015 Residential 494,890 512,565 477,931 481,773 397,489 404,869 1967-2015 Commercial 247,997 246,141 253,148 254,845 237,675

  6. Colorado Natural Gas Consumption by End Use

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

    501,350 466,680 443,750 467,798 480,747 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 66,083 78,800 76,462 71,105 74,402 1983-2014 Plant Fuel 25,090 28,265 29,383 25,806 30,873 1983-2014 Pipeline & Distribution Use 14,095 13,952 10,797 9,107 8,451 1997-2014 Volumes Delivered to Consumers 396,083 345,663 327,108 361,779 367,021 NA 1997-2015 Residential 131,224 130,116 115,695 134,936 132,106 125,433 1967-2015 Commercial 57,658 55,843 51,795 58,787 58,008 NA 1967-2015 Industrial 114,295

  7. Connecticut Natural Gas Consumption by End Use

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

    199,426 230,036 229,156 234,475 235,205 1997-2014 Pipeline & Distribution Use 6,739 6,302 4,747 4,381 4,698 1997-2014 Volumes Delivered to Consumers 192,687 223,734 224,409 230,094 230,507 250,527 1997-2015 Residential 42,729 44,719 41,050 46,802 51,193 51,857 1967-2015 Commercial 40,656 44,832 42,346 46,418 51,221 53,378 1967-2015 Industrial 24,117 26,258 26,932 29,965 28,371 25,943 1997-2015 Vehicle Fuel 41 27 27 46 54 44 1988-2015 Electric Power 85,144 107,897 114,054 106,863 99,668

  8. Delaware Natural Gas Consumption by End Use

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

    54,825 79,715 101,676 95,978 100,776 1997-2014 Lease and Plant Fuel 1967-1992 Pipeline & Distribution Use 140 464 1,045 970 1,040 1997-2014 Volumes Delivered to Consumers 54,685 79,251 100,630 95,008 99,736 99,543 1997-2015 Residential 10,126 10,030 8,564 10,197 11,316 10,501 1967-2015 Commercial 12,193 10,478 10,034 11,170 11,882 11,189 1967-2015 Industrial 7,983 19,760 28,737 32,154 31,004 33,127 1997-2015 Vehicle Fuel 1 1 1 1 1 1 1988-2015 Electric Power 24,383 38,984 53,295 41,487 45,534

  9. Florida Natural Gas Consumption by End Use

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

    1,158,452 1,217,689 1,328,463 1,225,676 1,231,957 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 4,512 4,896 6,080 5,609 6,551 1983-2014 Plant Fuel 0 0 0 0 272 1983-2014 Pipeline & Distribution Use 22,798 13,546 16,359 12,494 3,468 1997-2014 Volumes Delivered to Consumers 1,131,142 1,199,247 1,306,024 1,207,573 1,221,666 NA 1997-2015 Residential 18,744 16,400 14,366 15,321 16,652 14,777 1967-2015 Commercial 54,065 53,532 54,659 59,971 62,646 NA 1967-2015 Industrial 76,522 85,444 98,144

  10. Georgia Natural Gas Consumption by End Use

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

    530,030 522,897 615,771 625,283 652,230 1997-2014 Pipeline & Distribution Use 8,473 10,432 10,509 7,973 6,977 1997-2014 Volumes Delivered to Consumers 521,557 512,466 605,262 617,310 645,253 683,796 1997-2015 Residential 138,671 113,335 97,664 121,629 134,438 117,523 1967-2015 Commercial 60,153 56,602 51,918 57,195 59,039 53,581 1967-2015 Industrial 146,737 144,940 146,481 157,982 160,821 157,407 1997-2015 Vehicle Fuel 915 1,097 1,104 998 1,171 1,194 1988-2015 Electric Power 175,082 196,492

  11. Hawaii Natural Gas Consumption by End Use

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

    2,627 2,619 2,689 2,855 2,928 1997-2014 Pipeline & Distribution Use 2 2 3 1 1 2004-2014 Volumes Delivered to Consumers 2,625 2,616 2,687 2,853 2,927 2,929 1997-2015 Residential 509 486 481 582 583 572 1980-2015 Commercial 1,777 1,768 1,850 1,873 1,931 1,908 1980-2015 Industrial 339 362 355 388 401 442 1997-2015 Vehicle Fuel 0 0 0 10 12 7 1997-2015 Electric Power -- -- -- -- -- --

  12. Idaho Natural Gas Consumption by End Use

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

    83,326 82,544 89,004 104,783 91,514 1997-2014 Lease and Plant Fuel 1967-1992 Pipeline & Distribution Use 7,679 5,201 5,730 5,940 3,867 1997-2014 Volumes Delivered to Consumers 75,647 77,343 83,274 98,843 87,647 NA 1997-2015 Residential 23,975 26,666 23,924 27,370 24,616 22,963 1967-2015 Commercial 15,033 16,855 15,838 18,485 16,963 16,171 1967-2015 Industrial 24,195 25,392 29,781 27,996 28,046 NA 1997-2015 Vehicle Fuel 69 131 132 133 156 152 1988-2015 Electric Power 12,375 8,299 13,599

  13. Illinois Natural Gas Consumption by End Use

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

    966,678 986,867 940,367 1,056,826 1,092,999 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 50 101 122 122 70 1983-2014 Plant Fuel 4,559 4,917 4,896 4,917 288 1983-2014 Pipeline & Distribution Use 19,864 21,831 24,738 26,936 30,263 1997-2014 Volumes Delivered to Consumers 942,205 960,018 910,611 1,024,851 1,062,377 NA 1997-2015 Residential 416,570 418,143 360,891 452,602 479,465 399,446 1967-2015 Commercial 198,036 215,605 188,099 230,820 246,273 NA 1967-2015 Industrial 281,406 278,498

  14. Indiana Natural Gas Consumption by End Use

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

    573,866 630,669 649,921 672,751 710,838 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 283 433 506 506 177 1983-2014 Pipeline & Distribution Use 8,679 10,259 7,206 7,428 7,025 1997-2014 Volumes Delivered to Consumers 564,904 619,977 642,209 664,817 703,637 712,946 1997-2015 Residential 138,415 132,094 115,522 144,496 156,639 133,876 1967-2015 Commercial 75,883 75,995 66,663 82,596 90,915 78,491 1967-2015 Industrial 289,314 326,573 344,678 356,690 375,647 373,191 1997-2015 Vehicle Fuel

  15. Iowa Natural Gas Consumption by End Use

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

    311,075 306,909 295,183 326,140 330,433 1997-2014 Pipeline & Distribution Use 11,042 10,811 10,145 11,398 12,650 1997-2014 Volumes Delivered to Consumers 300,033 296,098 285,038 314,742 317,784 NA 1997-2015 Residential 68,376 67,097 55,855 72,519 76,574 62,032 1967-2015 Commercial 51,674 51,875 43,767 56,592 57,438 NA 1967-2015 Industrial 167,423 167,233 168,907 173,545 172,718 174,199 1997-2015 Vehicle Fuel 0 0 0 15 18 11 1988-2015 Electric Power 12,560 9,893 16,509 13,702 11,035 17,518

  16. Kansas Natural Gas Consumption by End Use

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

    75,184 279,724 262,316 283,177 285,969 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 13,461 12,781 17,017 17,110 14,851 1983-2014 Plant Fuel 2,102 2,246 2,268 2,189 1,983 1983-2014 Pipeline & Distribution Use 24,305 23,225 19,842 22,586 22,588 1997-2014 Volumes Delivered to Consumers 235,316 241,473 223,188 241,292 246,547 NA 1997-2015 Residential 67,117 65,491 50,489 68,036 71,126 NA 1967-2015 Commercial 31,799 32,117 25,452 33,198 36,512 NA 1967-2015 Industrial 108,484 113,356

  17. Kentucky Natural Gas Consumption by End Use

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

    32,099 223,034 225,924 229,983 254,244 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 5,626 5,925 6,095 6,095 4,388 1983-2014 Plant Fuel 772 278 641 280 278 1983-2014 Pipeline & Distribution Use 13,708 12,451 8,604 7,157 8,426 1997-2014 Volumes Delivered to Consumers 211,993 204,380 210,584 216,451 241,151 249,968 1997-2015 Residential 54,391 50,696 43,065 54,208 57,589 47,712 1967-2015 Commercial 36,818 34,592 30,771 37,422 40,033 34,308 1967-2015 Industrial 101,497 103,517 105,554

  18. Louisiana Natural Gas Consumption by End Use

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

    1,354,641 1,420,264 1,482,343 1,396,261 1,460,031 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 59,336 80,983 54,463 57,549 58,034 1983-2014 Plant Fuel 40,814 42,633 42,123 34,179 30,527 1983-2014 Pipeline & Distribution Use 46,892 51,897 49,235 36,737 45,762 1997-2014 Volumes Delivered to Consumers 1,207,599 1,244,752 1,336,521 1,267,795 1,325,708 1,361,733 1997-2015 Residential 45,516 39,412 31,834 38,820 44,392 36,580 1967-2015 Commercial 27,009 25,925 26,294 28,875 31,209 30,656

  19. Maine Natural Gas Consumption by End Use

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

    7,575 71,690 68,266 64,091 60,661 1997-2014 Pipeline & Distribution Use 1,753 2,399 762 844 1,300 1997-2014 Volumes Delivered to Consumers 75,821 69,291 67,504 63,247 59,362 NA 1997-2015 Residential 1,234 1,409 1,487 1,889 2,357 2,605 1967-2015 Commercial 5,830 6,593 7,313 8,146 9,030 9,795 1967-2015 Industrial 28,365 27,734 30,248 32,308 24,121 NA 1997-2015 Vehicle Fuel 1 1 1 * 1 1 1997-2015 Electric Power 40,392 33,555 28,456 20,904 23,853 17,447

  20. Maryland Natural Gas Consumption by End Use

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

    212,020 193,986 208,946 197,356 207,527 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 0 0 0 0 1 1983-2014 Pipeline & Distribution Use 6,332 6,065 7,397 4,125 6,327 1997-2014 Volumes Delivered to Consumers 205,688 187,921 201,550 193,232 201,199 205,407 1997-2015 Residential 83,830 77,838 70,346 83,341 90,542 81,592 1967-2015 Commercial 67,555 67,505 64,146 71,145 74,843 69,307 1967-2015 Industrial 23,371 21,220 17,626 13,989 14,734 14,635 1997-2015 Vehicle Fuel 203 222 221 201 236 240

  1. Utah Natural Gas Consumption by End Use

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

    11,359 11,750 10,440 10,855 20,739 27,782 2001-2015 Residential 1,623 1,545 1,320 2,002 8,290 12,265 1989-2015 Commercial 1,168 1,157 1,170 1,474 4,732 6,881 1989-2015 Industrial 2,777 2,788 2,757 2,969 3,120 3,612 2001-2015 Vehicle Fuel 22 22 22 22 22 22 2010-2015 Electric Power 5,768 6,238 5,171 4,387 4,575 5,002

  2. Vermont Natural Gas Consumption by End Use

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

    NA 544 566 NA 1,024 1,168 2001-2015 Residential 87 73 79 164 288 393 1989-2015 Commercial NA 318 336 522 557 586 1989-2015 Industrial NA 153 150 NA 178 188 2001-2015 Vehicle Fuel 0 0 0 0 0 0 2010-2015 Electric Power 0 0 1 0 1

  3. Virginia Natural Gas Consumption by End Use

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

    40,769 37,648 33,817 27,516 36,489 44,149 2001-2015 Residential 1,491 1,442 1,913 3,395 6,309 7,966 1989-2015 Commercial 2,656 2,587 3,658 4,647 6,019 6,065 1989-2015 Industrial 7,530 7,435 6,116 7,701 7,582 7,259 2001-2015 Vehicle Fuel 21 21 20 21 20 21 2010-2015 Electric Power 29,071 26,163 22,109 11,752 16,558 22,839

  4. Connecticut Natural Gas Consumption by End Use

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

    27,870 20,353 15,426 14,745 16,786 17,440 2001-2015 Residential 8,998 4,902 2,172 1,368 1,120 997 1989-2015 Commercial 7,504 4,556 2,676 2,295 2,379 2,512 1989-2015 Industrial...

  5. ,"Texas Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcustxm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  6. ,"Maine Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusmem.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  7. ,"Indiana Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusinm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  8. ,"Ohio Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusohm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  9. ,"Michigan Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusmim.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  10. ,"Massachusetts Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusmam.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  11. ,"Vermont Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusvtm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  12. ,"Alaska Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusakm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  13. ,"Washington Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcuswam.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  14. ,"Arkansas Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusarm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  15. ,"Colorado Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcuscom.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  16. ,"Virginia Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusvam.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  17. ,"California Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcuscam.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  18. ,"Wyoming Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcuswym.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  19. ,"Iowa Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusiam.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  20. ,"Oregon Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusorm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  1. ,"Florida Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusflm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  2. ,"Minnesota Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusmnm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  3. ,"Illinois Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusilm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  4. ,"Hawaii Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcushim.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  5. Wisconsin Natural Gas Consumption by End Use

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

    372,898 393,734 402,656 442,544 462,627 1997-2014 Pipeline & Distribution Use 2,973 2,606 1,780 2,803 3,629 1997-2014 Volumes Delivered to Consumers 369,924 391,128 400,876 439,741 458,999 454,450 1997-2015 Residential 123,618 129,445 112,554 142,985 150,409 126,685 1967-2015 Commercial 82,204 87,040 76,949 99,434 107,003 90,195 1967-2015 Industrial 121,408 126,856 124,338 136,034 141,661 136,264 1997-2015 Vehicle Fuel 56 60 59 100 117 96 1988-2015 Electric Power 42,639 47,727 86,975 61,188

  6. Wyoming Natural Gas Consumption by End Use

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

    50,106 156,455 153,333 149,820 135,678 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 34,459 39,114 33,826 32,004 21,811 1983-2014 Plant Fuel 27,104 28,582 29,157 27,935 25,782 1983-2014 Pipeline & Distribution Use 20,807 17,898 16,660 15,283 14,990 1997-2014 Volumes Delivered to Consumers 67,736 70,862 73,690 74,597 73,096 72,765 1997-2015 Residential 12,915 13,283 11,502 13,640 13,269 11,942 1967-2015 Commercial 11,153 11,680 10,482 12,013 12,188 12,498 1967-2015 Industrial 43,059

  7. ,"Tennessee Natural Gas Consumption by End Use"

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

    ...575,20337,5751,4289,10219,,77 37605,31833,12804,8138,10610,,281 37636,37778,15336,9595,11144,,1704 37667,37692,15713,10236,11487,,256 37695,27915,10227,7187,10262,,239 ...

  8. Missouri Natural Gas Consumption by End Use

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

    1,873 1,770 3,351 8,236 1989-2015 Commercial 1,960 2,021 2,299 2,254 3,585 5,631 1989-2015 Industrial 4,605 4,716 4,376 4,527 4,939 5,585 2001-2015 Vehicle Fuel 4 4 4 4 4 4...

  9. Washington Natural Gas Consumption by End Use

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

    1,649 2,519 4,019 9,599 1989-2015 Commercial 2,287 1,996 1,902 2,709 3,462 5,744 1989-2015 Industrial 5,770 5,477 5,625 5,921 6,680 NA 2001-2015 Vehicle Fuel 38 42 42 40 42 40...

  10. Wisconsin Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    22,344 25,107 23,388 23,582 29,271 38,844 2001-2015 Residential 2,478 2,475 2,308 2,498 6,080 11,070 1989-2015 Commercial 2,842 2,782 2,964 2,867 4,985 7,776 1989-2015 Industrial...

  11. Delaware Natural Gas Consumption by End Use

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

    8,917 8,330 7,939 2001-2015 Residential 703 270 181 163 166 157 1989-2015 Commercial 735 403 410 375 409 432 1989-2015 Industrial 3,037 2,819 2,561 2,669 2,636 2,448 2001-2015...

  12. AEO2014 Preliminary Results

    Gasoline and Diesel Fuel Update (EIA)

    September 26, 2013 AEO2014 Preliminary Results For discussion purposes only Not for citation Overview 2 * Residential projects - RECS update - Housing stock formation and decay - Lighting model - ENERGY STAR homes benchmarking - Weather elasticities * Commercial projects - Major end-use capacity factors - Data center servers - ENERGY STAR buildings - Hurdle rate floor * Both sectors - Usual annual updates - Miscellaneous end-use technology assumptions updates - Distributed generation * Contract

  13. The North American Market For Renewable Energy Certificates, 6. edition

    SciTech Connect (OSTI)

    2007-10-15

    The report provides a study of the Renewable Energy Certificate (REC) market and takes a comprehensive look at what RECs are, how they work, the role they can play in spurring renewable energy development, the different models for implementing RECs, current offerings of REC suppliers, and customer purchases of RECs. Topics covered include: an overview of green power; definition of what RECs are and how they work; discussion of the history of RECs and their uses; explanation of the benefits of RECs and the challenges they face; discussion of how RECs interact with Renewable Portfolio Standards; discussion of the REC certification process; overview of the current market for RECs in the U.S.; profiles of major North American REC tracking systems; and, profiles of 40 key North American REC market participants.

  14. Modeling

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

    PVLibMatlab Permalink Gallery Sandia Labs Releases New Version of PVLib Toolbox Modeling, News, Photovoltaic, Solar Sandia Labs Releases New Version of PVLib Toolbox Sandia has released version 1.3 of PVLib, its widely used Matlab toolbox for modeling photovoltaic (PV) power systems. The version 1.3 release includes the following added functions: functions to estimate parameters for popular PV module models, including PVsyst and the CEC '5 parameter' model a new model of the effects of solar

  15. REC Solar (Colorado) | Open Energy Information

    Open Energy Info (EERE)

    Court Place: Westminster, Colorado Zip: 80030 Region: Rockies Area Sector: Solar Product: Solar panel installer Website: recsolar.com Coordinates: 39.860526, -105.066446 Show...

  16. REC Solar (Oregon) | Open Energy Information

    Open Energy Info (EERE)

    Place: Portland, Oregon Zip: 97214 Region: Pacific Northwest Area Sector: Solar Product: Solar panel installer Website: recsolar.com Coordinates: 45.5136593, -122.657084 Show...

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

    Gasoline and Diesel Fuel Update (EIA)

    homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. ...

  18. DRI Renewable Energy Center (REC) (NV)

    SciTech Connect (OSTI)

    Hoekman, S. Kent; Broch, Broch; Robbins, Curtis; Jacobson, Roger; Turner, Robert

    2012-12-31

    The primary objective of this project was to utilize a flexible, energy-efficient facility, called the DRI Renewable Energy Experimental Facility (REEF) to support various renewable energy research and development (R&D) efforts, along with education and outreach activities. The REEF itself consists of two separate buildings: (1) a 1200-ft2 off-grid capable house and (2) a 600-ft2 workshop/garage to support larger-scale experimental work. Numerous enhancements were made to DRI's existing renewable power generation systems, and several additional components were incorporated to support operation of the REEF House. The power demands of this house are satisfied by integrating and controlling PV arrays, solar thermal systems, wind turbines, an electrolyzer for renewable hydrogen production, a gaseous-fuel internal combustion engine/generator set, and other components. Cooling needs of the REEF House are satisfied by an absorption chiller, driven by solar thermal collectors. The REEF Workshop includes a unique, solar air collector system that is integrated into the roof structure. This system provides space heating inside the Workshop, as well as a hot water supply. The Workshop houses a custom-designed process development unit (PDU) that is used to convert woody biomass into a friable, hydrophobic char that has physical and chemical properties similar to low grade coal. Besides providing sufficient space for operation of this PDU, the REEF Workshop supplies hot water that is used in the biomass treatment process. The DRI-REEF serves as a working laboratory for evaluating and optimizing the performance of renewable energy components within an integrated, residential-like setting. The modular nature of the system allows for exploring alternative configurations and control strategies. This experimental test bed is also highly valuable as an education and outreach tool both in providing an infrastructure for student research projects, and in highlighting renewable energy features to the public.

  19. 1987 RECS Public Use Microdata Files

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

    cvs file File 3: Type of Energy and Equipment text file cvs file File 4: Household Demographics text file cvs file File 5: Presence of Appliances text file cvs file File 6: Energy...

  20. Residential Energy Consumption Survey (RECS) - Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    Administration U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand

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

    Gasoline and Diesel Fuel Update (EIA)

    58 billion (40%) is attributable to homes built in the last two decades. Population migration to the warmer climates of southern and western states accounts for much of the rise....

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

    Gasoline and Diesel Fuel Update (EIA)

    ... Overall, 18 percent of households below the poverty line do not have any air conditioning equipment at all. About a third of households below the poverty line use room air ...

  3. Huizenga Response to TWS Recs.pdf

    Energy Savers [EERE]

  4. Buildings Sector Working Group

    Gasoline and Diesel Fuel Update (EIA)

    July 22, 2013 AEO2014 Model Development For discussion purposes only Not for citation Overview Builldings Working Group Forrestal 2E-069 / July 22, 2013 2 * Residential projects - RECS update - Lighting model - Equipment, shell subsidies - ENERGY STAR benchmarking - Housing stock formation and decay * Commercial projects - Major end-use capacity factors - Hurdle rates - ENERGY STAR buildings * Both sectors - Consumer behavior workshop - Comparisons to STEO - AER  MER - Usual annual updates -

  5. Modeling

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

    Engine Combustion/Modeling - Modelingadmin2015-10-28T01:54:52+00:00 Modelers at the CRF are developing high-fidelity simulation tools for engine combustion and detailed micro-kinetic, surface chemistry modeling tools for catalyst-based exhaust aftertreatment systems. The engine combustion modeling is focused on developing Large Eddy Simulation (LES). LES is being used with closely coupled key target experiments to reveal new understanding of the fundamental processes involved in engine

  6. Modeling

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

    Reacting Flow/Modeling - Modelingadmin2015-10-28T02:39:13+00:00 Turbulence models typically involve coarse-graining and/or time averaging. Though adequate for modeling mean transport, this approach does not address turbulence-microphysics interactions that are important in combustion processes. Subgrid models are developed to represent these interactions. The CRF has developed a fundamentally different representation of these interactions that does not involve distinct coarse-grained and subgrid

  7. Modeling

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

    Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project Capabilities, Center for Infrastructure Research and Innovation (CIRI), Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Facilities, Infrastructure Security, Materials Science, Modeling, Modeling & Analysis, News, News & Events, Partnership, Research & Capabilities, Systems Analysis, Systems Engineering, Transportation Energy Widespread Hydrogen Fueling Infrastructure Is

  8. Modeling

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

    WVMinputs-outputs Permalink Gallery Sandia Labs releases wavelet variability model (WVM) Modeling, News, Photovoltaic, Solar Sandia Labs releases wavelet variability model (WVM) When a single solar photovoltaic (PV) module is in full sunlight, then is shaded by a cloud, and is back in full sunlight in a matter of seconds, a sharp dip then increase in power output will result. However, over an entire PV plant, clouds will often uncover some modules even as they cover others, [...] By Andrea

  9. Modeling

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

    New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, Modeling & Analysis, News, News & Events, Partnership New Project Is the ACME of Computer Science to Address Climate Change Sandia high-performance computing (HPC) researchers are working with DOE and 14 other national laboratories and institutions to develop and apply the most complete climate and Earth system model, to address the most challenging and

  10. Modeling

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

    A rail tank car of the type used to transport crude oil across North America. Recent incidents have raised concerns about the safety of this practice, which the DOE-DOT-sponsored team is investigating. (photo credit: Harvey Henkelmann) Permalink Gallery Expansion of DOE-DOT Tight Oil Research Work Capabilities, Carbon Capture & Storage, Carbon Storage, Energy, Energy Assurance, Energy Assurance, Fuel Options, Infrastructure Assurance, Infrastructure Security, Modeling, Modeling, Modeling

  11. Modeling

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

    in warm dense matter experiments with diffuse interface methods in the ALE-AMR code Wangyi Liu ∗ , John Barnard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder † August 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid

  12. Energy End-Use Intensities in Commercial Buildings1995 -- Overview...

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

    by the Commercial Buildings Energy Consumption Survey (CBECS) and (2) building energy simulations provided by the Facility Energy Decision Screening (FEDS) system. The...

  13. CBECS 1989 - Energy End-use Intensities in Commercial Buildings...

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

    the sampling error is nonzero and unknown for the particular sample chosen, the sample design permits sampling errors to be estimated. Due to the complexity of the sample design,...

  14. Energy End-Use Intensities in Commercial Buildings

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

    Intensities The purpose of this section is to provide information on how energy was used for space conditioning--heating, cooling, and ventilation--in commercial...

  15. Energy End-Use Intensities in Commercial Buildings

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

    Active Solar: As an energy source, energy from the sun collected and stored using mechanical pumps or fans to circulate heat-laden fluids or air between solar collectors and the...

  16. Energy End-Use Intensities in Commercial Buildings

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

    2. Energy Use in Commercial Buildings The purpose of this section is to provide an overview of how energy was used in commercial buildings. Focusing on 1989 buildings, the section...

  17. End-Use Sector Flowcharts, Energy Intensity Indicators

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

    Economy Transportation Sector Commercial Sector Residential Sector Electric Power Sector Industrial Sector Manufacturing NAICS 311-339 Food, Beverages, & Tobacco NAICS 311/312 Textile Mills and Products NAICS 313/314 Apparel & Leather Products NAICS 315/316 Wood Products NAICS 321 Paper NAICS 322 Printing & Related Support NAICS 323 Petroleum & Coal Products NAICS 324 Chemicals NAICS 325 Plastics & Rubber Products NAICS 326 Nonmetallic Mineral Products NAICS 327 Primary

  18. Energy End-Use Intensities in Commercial Buildings 1989 data...

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

    Buildings Energy Consumption Survey. Divider Bar To View andor Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties,...

  19. Energy End-Use Intensities in Commercial Buildings 1992

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

    Energy Consumption Survey. divider line To View andor Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties,...

  20. U.S. Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  1. New Mexico Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

    09,709 554,352 574,557 608,490 621,430 669,923 1984-2014 Residential 55 46 37 27 72 53 1984-2014 Commercial 11,030 9,435 9,609 9,145 9,112 12,114 1984-2014 Industrial 33,804 24,429 27,110 31,316 32,029 32,917 1984-2014 Oil Company 9,871 1,705 2,127 5,857 11,218 27,016 1984-2014 Farm 11,278 14,821 10,955 12,816 15,784 11,752 1984-2014 Electric Power 4,321 4,000 1,689 5,155 4,816 3,826 1984-2014 Railroad 245 1,780 1,707 19,123 38,543 45,446 1984-2014 Vessel Bunkering 0 0 0 0 0 0 1984-2014

  2. Alabama Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

    987,571 1,038,133 1,094,359 1,132,711 1,047,981 1,027,777 1984-2014 Residential 3,971 4,895 432 750 639 722 1984-2014 Commercial 39,802 46,009 48,475 46,654 30,536 27,874 1984-2014 Industrial 90,659 77,542 81,120 120,347 77,119 65,322 1984-2014 Oil Company 0 328 1,035 2,640 2,929 2,985 1984-2014 Farm 17,882 19,881 24,518 24,503 24,651 20,459 1984-2014 Electric Power 8,276 10,372 22,490 9,375 6,514 10,071 1984-2014 Railroad 44,546 42,465 97,177 125,439 63,570 56,873 1984-2014 Vessel Bunkering

  3. Texas Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

    ,329,790 5,693,270 6,373,078 6,688,629 6,914,481 7,837,118 1984-2014 Residential 67 28 127 102 16 59 1984-2014 Commercial 136,419 100,886 184,312 173,303 142,268 132,601 1984-2014 Industrial 189,981 197,024 233,292 241,601 240,179 270,760 1984-2014 Oil Company 210,865 316,523 541,640 736,186 679,737 886,957 1984-2014 Farm 201,769 207,183 243,170 216,915 190,572 222,849 1984-2014 Electric Power 19,495 15,646 23,156 20,022 20,706 24,700 1984-2014 Railroad 429,026 467,128 498,006 483,096 504,823

  4. Biogas end-use in the European community

    SciTech Connect (OSTI)

    Constant, M.; Naveau, H.; Nyns, E.J. ); Ferrero, G.L.

    1989-01-01

    In Europe over the past few years the generation of biogas for energy and environmental purposes has been gaining in importance. Industrial wastewaters, cattle manure, sewage sludges, urban wastes, crop residues, algae and aquatic biomass are all typical of the materials being utilized. In contrast to the extensive inventory of biomethanation processes which has been carried out within the EEC, until recently a detailed, up-to-date investigation of the end-sues of biogas had not been undertaken. To supply the necessary information, the Commission of the European Communities and the Belgian Science Policy Office jointly entrusted a study to the Unit of Bioengineering at the Catholic University of Louvain, Belgium. This book is record of the study and has the following key features: it gives a broad overview of the ongoing use of biogas in Europe; it summarizes available data on storage, purification and engines using biogas; it draws several conclusions concerning the technical and economic viability of the processes; it discusses the problems of using biogas; and it outlines recommendations and future R and D and demonstration projects in the field.

  5. 1999 Commercial Buildings Characteristics--End-Use Equipment

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

    586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey Cooling Equipment Packaged air conditioning units were the predominant type of cooling...

  6. Distribution Category UC-98 Consumption End-Use A Comparison...

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

    buildings) as well as a list of large buildings in each metropolitan area. MECS is based upon a comprehensive list of manufactures that is maintained by the Census Bureau for...

  7. Energy End-Use Intensities in Commercial Buildings

    Gasoline and Diesel Fuel Update (EIA)

    and stored using mechanical pumps or fans to circulate heat-laden fluids or air between solar collectors and the building. Examples include the use of solar collectors for water...

  8. Florida Sales of Distillate Fuel Oil by End Use

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

    840,100 2,027,012 1,914,621 1,918,039 2,023,650 2,038,923 1984-2014 Residential 1,551 1,820 1,085 572 451 728 1984-2014 Commercial 126,292 113,313 100,791 104,860 113,873 110,082 1984-2014 Industrial 36,512 43,088 35,652 32,087 31,458 42,894 1984-2014 Oil Company 236 2,255 4,038 4,359 4,427 3,802 1984-2014 Farm 86,642 204,866 109,177 103,325 122,563 98,418 1984-2014 Electric Power 31,161 43,675 35,577 16,137 16,244 12,182 1984-2014 Railroad 33,651 42,353 46,461 66,711 93,844 92,435 1984-2014

  9. Energy Information Administration - Table 2. End Uses of Fuel...

    Gasoline and Diesel Fuel Update (EIA)

    -- -- -- Net Electricity 74 79 76 Residual Fuel Oil 19 * 11 Natural Gas 369 329 272 Machine Drive -- -- -- Net Electricity 68 86 77 Notes 1. The North American Industry...

  10. West Virginia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    33 5,114 4,922 4,914 6,180 6,835 2001-2015 Residential 419 244 339 387 1,242 2,132 1989-2015 Commercial 796 981 876 1,107 1,547 1,923 1989-2015 Industrial 1,903 1,746 1,834 1,677...

  11. New Hampshire Natural Gas Consumption by End Use

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

    NA NA NA NA NA NA 2001-2015 Residential 146 147 148 242 657 854 1989-2015 Commercial 221 226 232 377 823 1,017 1989-2015 Industrial NA NA NA NA NA NA 2001-2015 Vehicle Fuel 6 6 6 6 6 6 2010-2015 Electric Power 4,211 4,622 3,922 3,375 3,795 2,706

  12. New Jersey Natural Gas Consumption by End Use

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

    47,857 46,260 NA NA 56,469 63,409 2001-2015 Residential 5,478 4,422 4,498 9,214 16,149 22,163 1989-2015 Commercial 7,486 8,431 NA NA 11,186 13,623 1989-2015 Industrial 4,256 4,032 4,128 4,370 4,611 4,249 2001-2015 Vehicle Fuel 19 19 19 19 19 19 2010-2015 Electric Power 30,618 29,355 29,675 24,677 24,504 23,354

  13. District of Columbia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    984 1,037 1,072 1,740 2,437 2,907 2001-2015 Residential 242 240 253 520 911 1,335 1989-2015 Commercial 657 711 736 1,135 1,443 1,487 1989-2015 Industrial 0 0 0 0 0 0 2001-2015 Vehicle Fuel 86 86 83 86 83 86 2010-2015 Electric Power -- -- -- -- -- --

  14. New Hampshire Natural Gas Consumption by End Use

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

    0,378 69,978 72,032 54,028 57,017 1997-2014 Pipeline & Distribution Use 247 202 27 67 81 1997-2014 Volumes Delivered to Consumers 60,131 69,776 72,004 53,961 56,936 NA 1997-2015 Residential 6,738 6,955 6,422 7,185 7,755 7,587 1980-2015 Commercial 8,406 8,890 8,130 9,204 9,412 9,327 1980-2015 Industrial 6,022 7,083 7,007 7,866 8,456 NA 1997-2015 Vehicle Fuel 28 37 37 62 73 60 1988-2015 Electric Power 38,937 46,812 50,408 29,644 31,240 42,67

  15. New Jersey Natural Gas Consumption by End Use

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

    54,458 660,743 652,060 682,247 762,200 1997-2014 Pipeline & Distribution Use 5,359 5,655 4,603 5,559 5,070 1997-2014 Volumes Delivered to Consumers 649,099 655,088 647,457 676,688 757,130 NA 1997-2015 Residential 219,141 213,630 191,371 226,195 247,742 237,164 1967-2015 Commercial 181,480 191,808 174,641 171,797 202,201 NA 1967-2015 Industrial 49,269 49,865 54,785 61,468 61,494 NA 1997-2015 Vehicle Fuel 150 191 191 195 229 222 1988-2015 Electric Power 199,059 199,594 226,469 217,032 245,464

  16. New Mexico Natural Gas Consumption by End Use

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

    41,137 246,418 243,961 245,502 246,178 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 49,070 47,556 47,696 47,018 49,406 1983-2014 Plant Fuel 35,289 38,331 37,195 33,121 35,269 1983-2014 Pipeline & Distribution Use 8,597 7,067 7,467 8,782 8,561 1997-2014 Volumes Delivered to Consumers 148,181 153,464 151,602 156,581 152,942 NA 1997-2015 Residential 35,253 34,299 32,515 36,024 32,370 34,036 1967-2015 Commercial 25,155 25,035 24,898 26,790 25,688 26,262 1967-2015 Industrial 16,779 20,500

  17. New York Natural Gas Consumption by End Use

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

    1,198,127 1,217,324 1,223,036 1,273,263 1,345,315 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 573 498 423 375 541 1983-2014 Pipeline & Distribution Use 15,122 18,836 17,610 16,819 24,923 1997-2014 Volumes Delivered to Consumers 1,182,432 1,197,990 1,205,004 1,256,070 1,319,852 1,322,592 1997-2015 Residential 390,491 393,825 357,709 416,357 458,313 450,815 1967-2015 Commercial 287,389 291,118 270,232 300,776 320,168 309,481 1967-2015 Industrial 75,475 75,162 74,133 79,776 84,255

  18. North Carolina Natural Gas Consumption by End Use

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

    304,148 307,804 363,945 440,175 453,212 1997-2014 Pipeline & Distribution Use 7,978 7,322 5,436 4,029 3,877 1997-2014 Volumes Delivered to Consumers 296,169 300,481 358,510 436,146 449,335 NA 1997-2015 Residential 74,520 61,644 56,511 69,654 75,178 NA 1967-2015 Commercial 56,225 49,898 48,951 55,271 59,945 NA 1967-2015 Industrial 92,321 99,110 102,151 109,662 107,904 105,096 1997-2015 Vehicle Fuel 32 30 30 71 83 62 1988-2015 Electric Power 73,072 89,799 150,866 201,489 206,226 268,925

  19. North Dakota Natural Gas Consumption by End Use

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

    66,395 72,463 72,740 81,593 83,330 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 3,753 3,200 4,595 6,486 8,683 1983-2014 Plant Fuel 4,294 5,473 5,887 6,707 5,736 1983-2014 Pipeline & Distribution Use 13,745 13,575 15,619 14,931 14,604 1997-2014 Volumes Delivered to Consumers 44,603 50,214 46,639 53,469 54,307 55,321 1997-2015 Residential 10,536 10,937 9,594 12,085 12,505 10,606 1967-2015 Commercial 10,302 10,973 10,364 13,236 13,999 12,334 1967-2015 Industrial 23,762 28,303 26,680

  20. Rhode Island Natural Gas Consumption by End Use

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

    94,110 100,455 95,476 85,537 88,673 1997-2014 Lease and Plant Fuel 1967-1992 Pipeline & Distribution Use 1,468 1,003 1,023 1,087 2,824 1997-2014 Volumes Delivered to Consumers 92,642 99,452 94,452 84,450 85,849 90,207 1997-2015 Residential 16,942 16,864 15,883 18,221 19,724 19,522 1967-2015 Commercial 10,458 10,843 10,090 11,633 13,178 11,734 1967-2015 Industrial 8,033 7,462 7,841 8,161 8,008 8,751 1997-2015 Vehicle Fuel 87 85 85 73 86 89 1988-2015 Electric Power 57,122 64,198 60,553 46,362

  1. South Carolina Natural Gas Consumption by End Use

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

    220,235 229,497 244,850 232,297 231,863 1997-2014 Pipeline & Distribution Use 3,452 3,408 3,416 2,529 2,409 1997-2014 Volumes Delivered to Consumers 216,783 226,089 241,434 229,768 229,454 NA 1997-2015 Residential 32,430 26,851 22,834 28,642 31,862 27,171 1967-2015 Commercial 24,119 22,113 21,416 23,862 25,380 NA 1967-2015 Industrial 73,397 76,973 81,165 83,730 83,330 NA 1997-2015 Vehicle Fuel 7 9 9 18 21 16 1988-2015 Electric Power 86,830 100,144 116,010 93,516 88,861 135,239

  2. South Dakota Natural Gas Consumption by End Use

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

    72,563 73,605 70,238 81,986 79,964 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 562 594 866 916 827 1983-2014 Plant Fuel 0 0 0 2012-2014 Pipeline & Distribution Use 5,806 6,692 6,402 6,888 5,221 1997-2014 Volumes Delivered to Consumers 66,195 66,320 62,969 74,182 73,917 73,755 1997-2015 Residential 12,815 12,961 10,742 13,920 14,213 11,638 1967-2015 Commercial 11,025 11,101 9,330 12,151 12,310 10,497 1967-2015 Industrial 40,755 40,668 40,432 44,039 44,205 44,683 1997-2015 Vehicle Fuel

  3. West Virginia Natural Gas Consumption by End Use

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

    13,179 115,361 129,753 142,082 150,766 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 11,348 15,571 21,569 28,682 27,853 1983-2014 Plant Fuel 810 1,153 1,812 3,429 6,776 1983-2014 Pipeline & Distribution Use 21,589 21,447 31,913 29,578 29,160 1997-2014 Volumes Delivered to Consumers 79,432 77,189 74,459 80,393 86,978 NA 1997-2015 Residential 27,021 25,073 22,538 26,514 28,257 24,975 1967-2015 Commercial 24,907 24,094 22,634 24,252 24,101 22,584 1967-2015 Industrial 26,023 25,443 26,926

  4. U.S. Adjusted Sales of Kerosene by End Use

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

    Area: U.S. East Coast (PADD 1) New England (PADD 1A) Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Central Atlantic (PADD 1B) Delaware District of Columbia Maryland New Jersey New York Pennsylvania Lower Atlantic (PADD 1C) Florida Georgia North Carolina South Carolina Virginia West Virginia Midwest (PADD 2) Illinois Indiana Iowa Kansas Kentucky Michigan Minnesota Missouri Nebraska North Dakota Ohio Oklahoma South Dakota Tennessee Wisconsin Gulf Coast (PADD 3) Alabama

  5. New Mexico Natural Gas Consumption by End Use

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

    11,371 12,236 10,219 10,795 14,369 19,223 2001-2015 Residential 830 864 854 1,282 3,863 6,379 1989-2015 Commercial 1,029 1,121 1,106 1,689 3,294 4,321 1989-2015 Industrial 1,382 1,437 1,348 1,479 1,616 1,575 2001-2015 Vehicle Fuel 16 16 15 16 15 16 2010-2015 Electric Power 8,114 8,798 6,895 6,330 5,581 6,933

  6. North Dakota Natural Gas Consumption by End Use

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

    2,929 3,396 3,600 4,063 5,168 5,845 2001-2015 Residential 170 147 200 513 1,069 1,713 1989-2015 Commercial 308 294 321 667 1,214 1,808 1989-2015 Industrial 1,954 2,463 2,646 2,883 2,885 2,324 2001-2015 Vehicle Fuel 0 0 0 0 0 0 2010-2015 Electric Power 497 492 433 W W W

  7. Rhode Island Natural Gas Consumption by End Use

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

    8,254 8,371 4,837 6,216 7,643 6,847 2001-2015 Residential 430 397 385 1,038 1,591 1,903 1989-2015 Commercial 258 249 244 624 1,007 1,106 1989-2015 Industrial 658 681 694 683 704 750 2001-2015 Vehicle Fuel 7 7 7 7 7 7 2010-2015 Electric Power 6,902 7,037 3,507 3,864 4,334 3,08

  8. South Dakota Natural Gas Consumption by End Use

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

    5,249 5,045 4,529 4,893 6,660 8,123 2001-2015 Residential 188 221 226 473 1,162 1,996 1989-2015 Commercial 304 314 315 571 1,127 1,564 1989-2015 Industrial 3,541 3,566 3,469 3,452 3,849 3,907 2001-2015 Vehicle Fuel 0 0 0 0 0 0 2010-2015 Electric Power 1,216 943 519 396 521 6

  9. U.S. Natural Gas Consumption by End Use

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

    Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total Consumption 24,086,797 24,477,425 25,538,487 26,155,071 26,698,068 27,472,867 1949-2015 Lease and Plant Fuel 1,285,627 1,322,588 1,396,273 1,483,085 1,500,181 1,580,997 1930-2015 Lease Fuel 916,797 938,340 987,957 1,068,289 1,074,943 1983-2014 Plant Fuel 368,830 384,248 408,316 414,796

  10. ,"U.S. Natural Gas Consumption by End Use"

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

    9,"Monthly","122015","1151973" ,"Release Date:","2292016" ,"Next Release Date:","3312016" ,"Excel File Name:","ngconssumdcunusm.xls" ,"Available from Web Page:","http:...

  11. District of Columbia Natural Gas Consumption by End Use

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

    33,251 32,862 28,561 32,743 34,057 1997-2014 Pipeline & Distribution Use 213 1,703 1,068 1,434 1,305 1997-2014 Volumes Delivered to Consumers 33,038 31,159 27,493 31,309 32,751 29,157 1997-2015 Residential 13,608 12,386 11,260 13,214 14,242 12,371 1980-2015 Commercial 18,547 16,892 15,363 17,234 17,498 15,793 1980-2015 Industrial 0 0 0 0 0 0 1997-2015 Vehicle Fuel 883 879 870 861 1,011 993 1988-2015 Electric Power -- 1,003 W -- -- --

  12. Gulf of Mexico Natural Gas Consumption by End Use

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

    Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013 2014 View History Total Consumption 103,976 108,490 101,217 93,985 95,207 93,855 1999-2014 Lease Fuel 103,976 108,490 101,217 93,985 95,207 93,855 1999-2014 Plant Fuel 0 2014-2014

  13. U.S. Sales of Kerosene by End Use

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

    Area: U.S. East Coast (PADD 1) New England (PADD 1A) Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Central Atlantic (PADD 1B) Delaware District of Columbia Maryland New Jersey New York Pennsylvania Lower Atlantic (PADD 1C) Florida Georgia North Carolina South Carolina Virginia West Virginia Midwest (PADD 2) Illinois Indiana Iowa Kansas Kentucky Michigan Minnesota Missouri Nebraska North Dakota Ohio Oklahoma South Dakota Tennessee Wisconsin Gulf Coast (PADD 3) Alabama

  14. Louisiana Sales of Distillate Fuel Oil by End Use

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

    514,474 1,744,771 1,873,769 1,488,986 1,405,392 1,375,580 1984-2014 Residential 1,036 140 34 53 84 89 1984-2014 Commercial 59,689 38,695 39,659 36,840 17,590 21,197 1984-2014 Industrial 21,826 26,063 20,770 33,052 31,744 33,670 1984-2014 Oil Company 243,789 319,394 364,261 245,303 183,801 178,810 1984-2014 Farm 42,624 44,027 49,985 48,462 40,785 46,134 1984-2014 Electric Power 4,321 4,775 5,464 2,733 4,610 4,826 1984-2014 Railroad 18,345 25,425 32,515 28,110 39,578 45,790 1984-2014 Vessel

  15. Mississippi Sales of Distillate Fuel Oil by End Use

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

    835,855 800,065 771,577 830,756 806,396 819,763 1984-2014 Residential 5 5 4 7 7 8 1984-2014 Commercial 26,641 23,713 26,383 26,386 24,019 28,803 1984-2014 Industrial 21,853 18,362 15,450 20,153 21,186 19,595 1984-2014 Oil Company 3,955 4,262 4,058 6,226 7,450 6,419 1984-2014 Farm 41,080 57,087 52,559 81,878 84,753 79,443 1984-2014 Electric Power 3,796 3,393 2,019 1,674 2,223 1,921 1984-2014 Railroad 24,727 17,936 37,741 29,848 32,550 35,578 1984-2014 Vessel Bunkering 141,302 93,384 58,285 58,505

  16. ,"U.S. Natural Gas Consumption by End Use"

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

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcunusa.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  17. North Carolina Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    5,890 38,346 37,432 NA 35,659 35,342 2001-2015 Residential 1,407 1,195 1,090 NA 1,121 2,814 1989-2015 Commercial 2,524 2,945 2,535 NA 3,004 4,282 1989-2015 Industrial 8,131 7,793...

  18. New York Natural Gas Consumption by End Use

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

    20,336 33,321 1989-2015 Commercial 12,774 14,178 14,539 13,736 18,646 24,042 1989-2015 Industrial 5,333 5,249 5,770 5,562 6,203 6,620 2001-2015 Vehicle Fuel 305 331 331 320...

  19. End-Use Intensity in Commercial Buildings 1992 (TABLES)

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

    3 9 21 5 64 1 9 Food Service . . . . . . . . . . . . . . 307 43 53 9 37 28 116 17 1 5 Health Care . . . . . . . . . . . . . . . 403 88 32 11 128 52 30 6 15 41 Lodging . . . . . ....

  20. Energy End-Use Intensities in Commercial Buildings

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

    lighting intensities per lighted square foot-hour (Figure 23). * Food service and health care buildings had the highest water-heating intensities per square foot--more than...

  1. South Carolina Natural Gas Consumption by End Use

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

    22,960 23,408 22,304 20,308 22,863 25,776 2001-2015 Residential 490 496 521 542 1,020 2,345 1989-2015 Commercial 1,307 1,324 1,399 1,380 1,827 2,136 1989-2015 Industrial 6,645...

  2. Energy End-Use Intensities in Commercial Buildings 1992 - Index...

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

    Author Contact: Joelle.Michaels@eia.doe.gov Joelle Michaels CBECS Survey Manager URL: http:www.eia.govconsumptioncommercialdataarchivecbecscbecs1d.html separater bar...

  3. modeling

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

    modeling - 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

  4. Modeling

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

    NASA Earth at Night Video EC, Energy, Energy Efficiency, Global, Modeling, News & Events, Solid-State Lighting, Videos NASA Earth at Night Video Have you ever wondered what the Earth looks like at night? NASA provides a clear, cloud-free view of the Earth at night using the Suomi National Polar-orbiting Partnership Satellite. The satellite utilizes an instrument known as the Visible Infrared Radiometer Suite (VIIRS), which allows the satellite to capture images of a "remarkably detailed

  5. Modeling

    SciTech Connect (OSTI)

    Loth, E.; Tryggvason, G.; Tsuji, Y.; Elghobashi, S. E.; Crowe, Clayton T.; Berlemont, A.; Reeks, M.; Simonin, O.; Frank, Th; Onishi, Yasuo; Van Wachem, B.

    2005-09-01

    Slurry flows occur in many circumstances, including chemical manufacturing processes, pipeline transfer of coal, sand, and minerals; mud flows; and disposal of dredged materials. In this section we discuss slurry flow applications related to radioactive waste management. The Hanford tank waste solids and interstitial liquids will be mixed to form a slurry so it can be pumped out for retrieval and treatment. The waste is very complex chemically and physically. The ARIEL code is used to model the chemical interactions and fluid dynamics of the waste.

  6. Modeling

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

    diffuse interface methods in ALE-AMR code with application in modeling NDCX-II experiments Wangyi Liu 1 , John Barnard 2 , Alex Friedman 2 , Nathan Masters 2 , Aaron Fisher 2 , Alice Koniges 2 , David Eder 2 1 LBNL, USA, 2 LLNL, USA This work was part of the Petascale Initiative in Computational Science at NERSC, supported by the Director, Office of Science, Advanced Scientific Computing Research, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This work was performed

  7. Model Documentation Report: Residential Sector Demand Module...

    Gasoline and Diesel Fuel Update (EIA)

    The penetration rate for central air-conditioning is estimated by means of time series analysis of RECS survey data. Water Heating: Solar Water Heaters Market shares for solar...

  8. Process modeling and industrial energy use

    SciTech Connect (OSTI)

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

    1980-11-01

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

  9. File:REC Generator Certification Application - Texas.pdf | Open...

    Open Energy Info (EERE)

    metadata was last modified 10:59, 12 April 2010 Software used Acrobat PDFMaker 9.0 for Word Short title Procedure for Generators to Qualify for Renewable Energy Credits Conversion...

  10. Plumas-Sierra REC- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Plumas-Sierra Rural Electric Cooperative (PSREC) offers several financial incentives for residential customers to improve the efficiency of their homes by upgrading to energy saving appliances and...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy...

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

    ... Populous States (HC15.10) PDF XLS Home Electronics - Characteristics PDF (all tables) ... Populous States (HC15.11) PDF XLS Home Electronics - Usage Indicators PDF (all tables) ...

  13. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy...

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

    (HC4.10) XLS in West Regions, divisions, and states (HC4.11) XLS Computers & other electronics Preliminary release date: March 28, 2011 Final release date: May 6, 2013 ZIP (all ...

  14. RECS Electricity Usage Form_v2 (25418 - Activated, Traditional...

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

    AActual EEstimated RRead by Customer (select one) A E R 1 2 3 4 5 6 7 8 9 10 Enter the Total Dollar Amount including taxes Exclude late fees, merchandise, repairs, and service ...

  15. REC Silicon formerly ASiMI | Open Energy Information

    Open Energy Info (EERE)

    ,"searchmarkers":"","locations":"text":"","title":"","link":null,"lat":47.838435,"lon":-100.665669,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""...

  16. IRA_ADMIN_REC_Contamin_Water_Treat1.pdf

    Office of Legacy Management (LM)

  17. IRA_ADMIN_REC_EPA_Comments_IRA6.pdf

    Office of Legacy Management (LM)

  18. QY_RESID_OU_ADMIN_REC_INDEX.pdf

    Office of Legacy Management (LM)

  19. Microsoft Word - Final Draft NNMCAB Rec. 2013-02

    Office of Environmental Management (EM)

    March 26, 2013 Mr. Juan Griego Acting Manager Los Alamos Field Office 3747 West Jemez Road, MS A316 Los Alamos, NM 87544 Mr. Pete Maggiore Assistant Manager for Environmental Operations Los Alamos Field Office 3747 West Jemez Road, MS A316 Los Alamos, NM 87544 Dear Messrs. Griego and Maggiore, I am pleased to enclose Recommendation 2013-02, unanimously adopted by the Northern New Mexico Citizens' Advisory Board at its March 20 th meeting in Albuquerque. Please call Lee Bishop, DDFO or Menice

  20. Treatment of Evaporator Bottoms, 485-REC-R00

    Broader source: Energy.gov [DOE]

    Supporting Technical Document for the Radiological Release Accident Investigation Report (Phase II Report)

  1. Inventory of state energy models

    SciTech Connect (OSTI)

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

    1980-03-31

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

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

    SciTech Connect (OSTI)

    Not Available

    1980-09-01

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

  3. Multi-State Load Models for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.

    2011-11-01

    Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.

  4. Progress in Developing Finite Element Models Replicating Flexural Graphite Testing

    SciTech Connect (OSTI)

    Robert Bratton

    2010-06-01

    This report documents the status of flexural strength evaluations from current ASTM procedures and of developing finite element models predicting the probability of failure. This work is covered under QLD REC-00030. Flexural testing procedures of the American Society for Testing and Materials (ASTM) assume a linear elastic material that has the same moduli for tension and compression. Contrary to this assumption, graphite is known to have different moduli for tension and compression. A finite element model was developed and demonstrated that accounts for the difference in moduli tension and compression. Brittle materials such as graphite exhibit significant scatter in tensile strength, so probabilistic design approaches must be used when designing components fabricated from brittle materials. ASTM procedures predicting probability of failure in ceramics were compared to methods from the current version of the ASME graphite core components rules predicting probability of failure. Using the ASTM procedures yields failure curves at lower applied forces than the ASME rules. A journal paper was published in the Journal of Nuclear Engineering and Design exploring the statistical models of fracture in graphite.

  5. ,"U.S. Total Sales of Residual Fuel Oil by End Use"

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

    to Oil Company Consumers (Thousand Gallons)","U.S. Residual Fuel Oil SalesDeliveries to Electric Utility Consumers (Thousand Gallons)","U.S. Residual Fuel Oil SalesDeliveries to...

  6. Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand

    SciTech Connect (OSTI)

    Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

    2012-06-01

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  7. Renewable Electricity Futures Study. Volume 3. End-Use Electricity Demand

    SciTech Connect (OSTI)

    Hostick, Donna; Belzer, David B.; Hadley, Stanton W.; Markel, Tony; Marnay, Chris; Kintner-Meyer, Michael

    2012-06-15

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%–90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

  8. Assessment of U.S. Electric End-Use Energy Efficiency Potential

    SciTech Connect (OSTI)

    Gellings, Clark W.; Wikler, Greg; Ghosh, Debyani

    2006-11-15

    Demand-side management holds significant potential to reduce growth in U.S. energy consumption and peak demand, and in a cost-effective manner. But significant policy interventions will be required to achieve these benefits. (author)

  9. "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel...

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

    HVAC (g)",2,19,14,3,15,23 ," Facility Lighting",2,0,0,0,0,0 ," Other Facility ... HVAC (g)",9,67,47,17,46,54 ," Facility Lighting",6,0,0,0,0,0 ," Other Facility ...

  10. Understanding Superconducting Magnetic Energy Storage (SMES) technology, applications, and economics, for end-use workshop

    SciTech Connect (OSTI)

    Ferraro, R.J.; McConnell, B.W.

    1993-06-01

    The overall objective of this project was to determine the state-of-the-art and to what extent existing SMES is a viable option in meeting the needs of utilities and their customers for improving electric service power quality. By defining and analyzing SMES electrical/mechanical performance characteristics, and comparing SMES application benefits with competitive stored energy systems, industry will be able to determine SMES unique applications and potential market penetration. Building on this information base, it would also be possible to evaluate the impact of high temperature superconductors (77 K and 20-35 K) on SMES technology applications. The authors of this report constructed a network of industry contacts and research consultants that were used to collect, update, and analyze ongoing SMES R&D and marketing activities in industries, utilities, and equipment manufacturers. These key resources were utilized to assemble performance characteristics on existing SMES, battery, capacitor, flywheel, and high temperature superconductor (HTS) stored energy technologies. From this information, preliminary stored energy system comparisons were accomplished. In this way, the electric load needs would be readily comparable to the potential solutions and applications offered by each aforementioned energy storage technology.

  11. Energy balances in the production and end-use of methanol derived from coal

    SciTech Connect (OSTI)

    1980-12-10

    Analysis is performed for three combinations of fuels, specifically: net petroleum gain (petroleum only); net premium fuel gain (natural gas and petroleum); and net energy gain (includes all fuels; does not include free energy from sun). The base case selected for evaluation was that of an energy-efficient coal-to-methanol plant located in Montana/Wyoming and using the Lurgi conversion process. The following variations of the base coal-methanol case are also analyzed: gasoline from coal with methanol as an intermediate step (Mobil-M); and methanol from coal (Texaco gasification process). For each process, computations are made for the product methanol as a replacement for unleaded gasoline in a conventional spark ignition engine and as a chemical feedstock. For the purpose of the energy analysis, computations are made for three situations regarding mileage of methanol/ gasoline compared to that of regular unleaded gasoline: mileage of the two fuels equal, mileage 4 percent better with gasohol, and mileage 4 percent worse with gasohol. The standard methodology described for the base case applies to all of the variations.

  12. End Uses Mechanical Properties Settled By The Modified Sintering Conditions Of The Metal Injection Molding Process

    SciTech Connect (OSTI)

    Marray, Tarek [Laboratoire Materiaux, ECAM, 40 montee Saint Barthelemy, 69321, Lyon, Cedex 05 (France); Arts et Metiers ParisTech, MecaSurf Laboratory (EA 4496), 2, Cours des Arts et Metiers, 13617 Aix en Provence (France); Jaccquet, Philippe; Moinard-Checot, Delphine [Laboratoire Materiaux, ECAM, 40 montee Saint Barthelemy, 69321, Lyon, Cedex 05 (France); Arts et Metiers ParisTech, LaBoMaP, Rue Porte de Paris, 71250 CLUNY (France); Fabre, Agnes; Barrallier, Laurent [Arts et Metiers ParisTech, MecaSurf Laboratory (EA 4496), 2, Cours des Arts et Metiers, 13617 Aix en Provence (France)

    2011-01-17

    Most common mechanical applications require parts with specific properties as hard faced features. It is well known that treating parts under suitable atmospheres may improve hardness and strength yield of steels. Heat treatment process and more particularly thermo-chemical diffusion processes (such as carburizing or its variation: carbonitriding) can be performed to reach the industrial hardness profile requirements. In this work, a low-alloyed steel feedstock based on water soluble binder system is submitted to the MIM process steps (including injection molding, debinding and sintering). As-sintered parts are then treated under a low pressure carbonitriding treatment. This contribution focuses on preliminary results such as microstructural analyses and mechanical properties which are established at each stage of the process to determine and monitor changes.

  13. U.S. Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

    54,100,092 56,093,645 57,082,558 57,020,840 58,107,155 60,827,930 1984-2014 Residential 4,103,881 3,930,517 3,625,747 3,473,310 3,536,111 3,802,848 1984-2014 Commercial 2,785,246 2,738,304 2,715,335 2,557,543 2,471,897 2,543,778 1984-2014 Industrial 2,159,428 2,045,164 2,179,953 2,325,503 2,271,056 2,417,898 1984-2014 Oil Company 760,877 951,322 1,381,127 1,710,513 1,751,162 2,105,058 1984-2014 Farm 2,660,024 2,928,175 2,942,436 3,031,878 3,026,611 3,209,391 1984-2014 Electric Power 581,386

  14. "Table B25. Energy End Uses, Floorspace for Non-Mall Buildings...

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

    may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manu- facturing" "All ...5378,4653,4631,1926,"Q" "District Chilled Water ......",2853,2734,2853,2655,1274,"Q" ...

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Alaska" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Golden Valley Elec Assn Inc","Cooperative",1253161,286768,133156,833237,0 2,"Chugach Electric Assn Inc","Cooperative",1162364,534522,573447,54395,0 3,"Anchorage Municipal Light and Power","Public",1047470,139733,907737,0,0

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Arizona" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Arizona Public Service Co","Investor-owned",28087605,13290096,12594486,2203023,0 2,"Salt River Project","Public",27127199,12581984,10940149,3605066,0 3,"Tucson Electric Power

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    California" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Pacific Gas & Electric Co","Investor-owned",76390000,30552342,36055810,9781848,0 2,"Southern California Edison Co","Investor-owned",74480098,29742778,36850508,7826556,60256 3,"Los Angeles Department of Water &

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Colorado" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of Colorado","Investor-owned",28861229,9266046,12881189,6652330,61664 2,"City of Colorado Springs - (CO)","Public",4553294,1461825,1106926,1984543,0 3,"Intermountain Rural Elec

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Delaware" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Delmarva Power","Investor-owned",3647192,2744059,880296,22837,0 2,"Delaware Electric Cooperative","Cooperative",1262619,1033946,228673,0,0 3,"City of Dover - (DE)","Public",708294,201140,226520,280634,0 4,"Constellation

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Florida" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Florida Power & Light Co","Investor-owned",103058588,54074164,45932938,2963404,88082 2,"Duke Energy Florida, Inc","Investor-owned",36615990,18507962,14901674,3206354,0 3,"Tampa Electric Co","Investor-owned",18417662,8469567,7921282,2026813,0

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Georgia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Georgia Power Co","Investor-owned",81178648,25478655,32457010,23086501,156482 2,"Jackson Electric Member Corp - (GA)","Cooperative",4924212,2809034,1445094,670084,0 3,"Cobb Electric Membership

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Hawaii" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Hawaiian Electric Co Inc","Investor-owned",6858536,1667309,2341257,2849970,0 2,"Maui Electric Co Ltd","Investor-owned",1134873,387909,379461,367503,0 3,"Hawaii Electric Light Co

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Idaho" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Idaho Power Co","Investor-owned",13971178,5167474,3820824,4982880,0 2,"PacifiCorp","Investor-owned",3621646,718090,440163,2463393,0 3,"Avista Corp","Investor-owned",3236645,1205385,1012843,1018417,0 4,"City of Idaho Falls -

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Illinois" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Constellation NewEnergy, Inc","Investor-owned",19729300,869767,12641305,5509689,708539 2,"Commonwealth Edison Co","Investor-owned",18295340,9548453,7883890,862997,0 3,"Homefield

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Indiana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Indiana Inc","Investor-owned",28003070,9183527,8450462,10369081,0 2,"Northern Indiana Pub Serv Co","Investor-owned",16798335,3444738,3992698,9339677,21222 3,"Indiana Michigan Power

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Iowa" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"MidAmerican Energy Co","Investor-owned",20217549,5829442,5195709,9192398,0 2,"Interstate Power and Light Co","Investor-owned",14586595,3939183,3951419,6695993,0 3,"Board of Water Electric &

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Kansas" "megawatthours" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Westar Energy Inc","Investor-owned",9826375,3409863,4433462,1983050,0 2,"Kansas Gas & Electric Co","Investor-owned",9669223,3113287,3132064,3423872,0 3,"Kansas City Power & Light

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Kentucky" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Kentucky Utilities Co","Investor-owned",18527337,6194856,5489716,6842765,0 2,"Louisville Gas & Electric Co","Investor-owned",11698975,4164049,4834960,2699966,0 3,"Kenergy Corp","Cooperative",9761288,743715,326221,8691352,0

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Louisiana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Louisiana LLC","Investor-owned",32220423,8819573,6688333,16712517,0 2,"Entergy Gulf States - LA LLC","Investor-owned",19663315,5206322,5435688,9021305,0 3,"Cleco Power

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Maryland" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Baltimore Gas & Electric Co","Investor-owned",11968295,8967015,2846423,154857,0 2,"WGL Energy Services, Inc.","Investor-owned",7553788,1092845,6460943,0,0 3,"Potomac Electric Power

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Michigan" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"DTE Electric Company","Investor-owned",42272312,15273084,16715877,10283351,0 2,"Consumers Energy Co","Investor-owned",32556015,12792609,11117015,8646391,0 3,"First Energy Solutions

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Minnesota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned",30950305,8933573,13704440,8293190,19102 2,"ALLETE, Inc.","Investor-owned",9284816,1086481,1324342,6873993,0 3,"Otter Tail Power

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Mississippi" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Mississippi Inc","Investor-owned",13118968,5629032,5224792,2265144,0 2,"Mississippi Power Co","Investor-owned",9731505,2087704,2905087,4738714,0 3,"Tennessee Valley Authority","Federal",4549938,0,0,4549938,0

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Missouri" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Union Electric Co - (MO)","Investor-owned",37030285,13561749,14737190,8709141,22205 2,"Kansas City Power & Light Co","Investor-owned",8562163,2598738,4458883,1504542,0 3,"KCP&L Greater Missouri Operations

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Nebraska" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Omaha Public Power District","Public",10801979,3629597,3574255,3598127,0 2,"Lincoln Electric System","Public",3236591,1217375,1517814,501402,0 3,"Nebraska Public Power District","Public",3216813,845775,1109885,1261153,0

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Total sales, top five providers" "Nevada" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Nevada Power Co","Investor-owned",21184405,9012407,4576328,7587394,8276 2,"Sierra Pacific Power Co","Investor-owned",8151543,2369781,2963657,2818105,0 3,"Shell Energy North America (US),

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Hampshire" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NH","Investor-Owned",3772359,2488177,1149989,134193,0 2,"Constellation NewEnergy, Inc","Investor-Owned",978706,0,577347,401359,0 3,"Integrys Energy Services, Inc.","Investor-Owned",789158,3122,786036,0,0

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Jersey" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Elec & Gas Co","Investor-owned",19192403,11493325,6936055,763023,0 2,"Jersey Central Power & Lt Co","Investor-owned",9947655,7417321,2298350,231984,0 3,"Direct Energy Business Marketing,

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Mexico" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"City of Farmington - (NM)","Public",1096394,281379,426457,388558,0 2,"Lea County Electric Coop, Inc","Cooperative",802924,83420,400831,318673,0 " ","Total sales, top five providers",,17659537,5444921,7581145,4633471,0 "

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Carolinas, LLC","Investor-owned",55301813,20601105,22341733,12351570,7405 2,"Duke Energy Progress - (NC)","Investor-owned",36886571,15249396,13425824,8211351,0 3,"Virginia Electric & Power

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Dakota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned",2301544,827062,1138952,335530,0 2,"Montana-Dakota Utilities Co","Investor-owned",1949522,786334,994607,168581,0 3,"Otter Tail Power

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Ohio" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",49437270,14024133,21080138,14272628,60371 2,"Ohio Power Co","Investor-owned",19142615,10834999,3492174,4815442,0 3,"DPL Energy

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Oklahoma" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Oklahoma Gas & Electric Co","Investor-owned",24203012,8668433,9357636,6176943,0 2,"Public Service Co of Oklahoma","Investor-owned",17681663,6289643,6309019,5083001,0 3,"Oklahoma Electric Coop

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Oregon" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Portland General Electric Co","Investor-owned",17808023,7701768,6816977,3281460,7818 2,"PacifiCorp","Investor-owned",13089576,5534975,5115094,2424852,14655 3,"City of Eugene - (OR)","Public",2404522,980515,873103,550904,0

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"South Carolina Electric&Gas Company","Investor-owned",21371090,7571438,7799857,5999795,0 2,"Duke Energy Carolinas, LLC","Investor-owned",20566058,6313640,5619965,8632453,0 3,"South Carolina Public Service

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Dakota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned",2040726,725505,980503,334718,0 2,"NorthWestern Energy - (SD)","Investor-owned",1564096,579570,690191,294335,0 3,"Black Hills Power

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Tennessee" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"City of Memphis - (TN)","Public",13926088,5245511,4652594,4026201,1782 2,"Nashville Electric Service","Public",11703738,4668568,6044539,990631,0 3,"Tennessee Valley Authority","Federal",5904077,0,0,5904077,0 4,"City of

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Texas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Reliant Energy Retail Services","Investor-owned",39511303,17784060,3813963,17913280,0 2,"TXU Energy Retail Co LP","Investor-owned",37916867,22545174,5383121,9988572,0 3,"City of San Antonio -

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Utah" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-Owned",24510395,6976758,8556034,8923492,54111 2,"Provo City Corp","Public",788727,242592,410382,135753,0 3,"City of St George","Public",619529,278940,67594,272995,0 4,"Moon Lake Electric Assn

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Vermont" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Green Mountain Power Corp","Investor-owned",4295605,1556518,1560705,1178382,0 2,"Vermont Electric Cooperative, Inc","Cooperative",442890,222441,119722,100727,0 3,"City of Burlington Electric -

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Virginia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Virginia Electric & Power Co","Investor-owned",74469354,28802062,39078780,6393908,194604 2,"Appalachian Power Co","Investor-owned",15783445,6297314,4011928,5474203,0 3,"Rappahannock Electric

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Washington" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Puget Sound Energy Inc","Investor-owned",21208609,10769101,9205670,1229556,4282 2,"City of Seattle - (WA)","Public",9457191,3137668,5261681,1057188,654 3,"Bonneville Power Administration","Federal",7222335,0,833256,6389079,0

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    West Virginia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Appalachian Power Co","Investor-owned",14186224,5616869,3650678,4918677,0 2,"Monongahela Power Co","Investor-owned",10812645,3604310,2752010,4452343,3982 3,"The Potomac Edison

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Wisconsin" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Wisconsin Electric Power Co","Investor-owned",24144805,7974652,8872580,7297573,0 2,"Wisconsin Public Service Corp","Investor-owned",10541535,2795812,3922944,3822779,0 3,"Wisconsin Power & Light

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Wyoming" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-owned",9553734,1092932,1538409,6922393,0 2,"Powder River Energy Corp","Cooperative",2633437,215755,912786,1504896,0 3,"Cheyenne Light Fuel & Power Co","Investor-owned",1100543,269296,549520,281727,0

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    United States" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Florida Power & Light Co","Investor-owned",103058588,54074164,45932938,2963404,88082 2,"Georgia Power Co","Investor-owned",81178648,25478655,32457010,23086501,156482 3,"Pacific Gas & Electric

  17. U.S. Adjusted Distillate Fuel Oil and Kerosene Sales by End Use

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

    Area: U.S. East Coast (PADD 1) New England (PADD 1A) Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Central Atlantic (PADD 1B) Delaware District of Columbia Maryland New Jersey New York Pennsylvania Lower Atlantic (PADD 1C) Florida Georgia North Carolina South Carolina Virginia West Virginia Midwest (PADD 2) Illinois Indiana Iowa Kansas Kentucky Michigan Minnesota Missouri Nebraska North Dakota Ohio Oklahoma South Dakota Tennessee Wisconsin Gulf Coast (PADD 3) Alabama

  18. U.S. Adjusted Sales of Distillate Fuel Oil by End Use

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

    Area: U.S. East Coast (PADD 1) New England (PADD 1A) Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Central Atlantic (PADD 1B) Delaware District of Columbia Maryland New Jersey New York Pennsylvania Lower Atlantic (PADD 1C) Florida Georgia North Carolina South Carolina Virginia West Virginia Midwest (PADD 2) Illinois Indiana Iowa Kansas Kentucky Michigan Minnesota Missouri Nebraska North Dakota Ohio Oklahoma South Dakota Tennessee Wisconsin Gulf Coast (PADD 3) Alabama

  19. U.S. Adjusted Sales of Residual Fuel Oil by End Use

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

    Area: U.S. East Coast (PADD 1) New England (PADD 1A) Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Central Atlantic (PADD 1B) Delaware District of Columbia Maryland New Jersey New York Pennsylvania Lower Atlantic (PADD 1C) Florida Georgia North Carolina South Carolina Virginia West Virginia Midwest (PADD 2) Illinois Indiana Iowa Kansas Kentucky Michigan Minnesota Missouri Nebraska North Dakota Ohio Oklahoma South Dakota Tennessee Wisconsin Gulf Coast (PADD 3) Alabama

  20. U.S. Distillate Fuel Oil and Kerosene Sales by End Use

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

    Area: U.S. East Coast (PADD 1) New England (PADD 1A) Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Central Atlantic (PADD 1B) Delaware District of Columbia Maryland New Jersey New York Pennsylvania Lower Atlantic (PADD 1C) Florida Georgia North Carolina South Carolina Virginia West Virginia Midwest (PADD 2) Illinois Indiana Iowa Kansas Kentucky Michigan Minnesota Missouri Nebraska North Dakota Ohio Oklahoma South Dakota Tennessee Wisconsin Gulf Coast (PADD 3) Alabama

  1. U.S. Sales of Residual Fuel Oil by End Use

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

    Area: U.S. East Coast (PADD 1) New England (PADD 1A) Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Central Atlantic (PADD 1B) Delaware District of Columbia Maryland New Jersey New York Pennsylvania Lower Atlantic (PADD 1C) Florida Georgia North Carolina South Carolina Virginia West Virginia Midwest (PADD 2) Illinois Indiana Iowa Kansas Kentucky Michigan Minnesota Missouri Nebraska North Dakota Ohio Oklahoma South Dakota Tennessee Wisconsin Gulf Coast (PADD 3) Alabama

  2. Table 3. Top five retailers of electricity, with end use sectors...

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

    Wheeler Elec Member Corp","Cooperative",1562763,588686,292390,681687,0 5,"Baldwin County El Member Corp","Cooperative",1271089,833798,437291,0,0 " ","Total sales, top five...

  3. Microsoft Word - Major end uses front page v2 2015-03-31.docx

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

    ... and manufacturer information. - Provide a relative ... and clothes dryers in 2015 * ENERGY STAR continues to ... (HHV) of the fuel. **Electricity consumption is for ...

  4. Microsoft Word - Major end uses front page v2 2015-03-31.docx

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

    4 APPENDIX C EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Final DISCLAIMER This presentation was prepared as an account of work sponsored by

  5. Microsoft Word - Major end uses front page v2 2015-03-31.docx

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

    5 APPENDIX D EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Advanced Case Final DISCLAIMER This presentation was prepared as an account of work

  6. "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel...

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

    2 Relative Standard Errors for Table 5.2;" " Unit: Percents." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal"...

  7. "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b...

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

    6 Relative Standard Errors for Table 5.6;" " Unit: Percents." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG...

  8. "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel...

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

    4 Relative Standard Errors for Table 5.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG...

  9. Microsoft Word - Major end uses front page v2 2015-03-31.docx

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

    ... For this analysis, the efficiency is 98% to account for IR losses and fan inefficiency. * Installation time and costs are estimated to be minimal. 112 Commercial Electric ...

  10. Microsoft Word - Major end uses front page v2 2015-03-31.docx

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

    ... time and costs are estimated to be minimal. 112 Commercial Electric Resistance ... time and costs are estimated to be minimal. 112 Commercial Electric Resistance ...

  11. Table 3. Top five retailers of electricity, with end use sectors...

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

    3,"WGL Energy Services, Inc.","Investor-owned",1270636,59707,1210929,0,0 4,"Direct Energy Business Marketing, LLC","Investor-owned",1208043,0,839195,220720,148128 5,"Direct Energy ...

  12. Table 3. Top five retailers of electricity, with end use sectors...

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

    Maine" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NextEra Energy Power Marketing","Investor-owned",19844...

  13. Table 3. Top five retailers of electricity, with end use sectors...

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

    NewEnergy, Inc","Investor-owned",469721,0,296950,149198,23573 4,"TransCanada Power Marketing, Ltd.","Investor-owned",301970,0,0,301970,0 5,"Direct Energy Business ...

  14. Table 3. Top five retailers of electricity, with end use sectors...

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

    NewEnergy, Inc","Investor-owned",3073373,0,2140922,923167,9284 5,"TransCanada Power Marketing, Ltd.","Investor-owned",2374650,0,0,2374650,0 " ","Total sales, top five ...

  15. Table 3. Top five retailers of electricity, with end use sectors...

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

    4,"Niagara Mohawk Power Corp.","Investor-owned",13152596,8914956,3220135,1017505,0 5,"Direct Energy Business Marketing, LLC","Investor-owned",8604263,0,4198880,4405383,0 " ...

  16. Table 3. Top five retailers of electricity, with end use sectors...

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

    3,"United Illuminating Co","Investor-owned",1771412,1179978,547455,43979,0 4,"TransCanada Power Marketing, Ltd.","Investor-owned",1347975,0,0,1347975,0 5,"Direct Energy ...

  17. Table 3. Top five retailers of electricity, with end use sectors...

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

    3,"PECO Energy Co","Investor-owned",11394476,8577010,2270505,546961,0 4,"Talen Energy Marketing, LLC","Investor-owned",10381698,1509992,5324011,3260638,287057 5,"PPL ...

  18. Table 3. Top five retailers of electricity, with end use sectors...

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

    Energy LLC - (MT)","Investor-owned",5974533,2398528,3120726,455279,0 2,"Talen Energy Marketing, LLC","Investor-owned",2202299,0,131400,2070899,0 3,"Flathead Electric ...

  19. Table 3. Top five retailers of electricity, with end use sectors...

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

    Electric Coop Corp","Cooperative",1904813,1241089,190612,473112,0 " ","Total sales, top five providers",,32825557,11112603,8604957,13107894,103 " ","Percent of total state...

  20. Data Transfer Software-SAS MetaData Server & Phoenix Integration Model Center

    Energy Science and Technology Software Center (OSTI)

    2010-04-15

    This software is a plug-in that interfaces between the Phoenix Integration's Model Center and the Base SAS 9.2 applications. The end use of the plug-in is to link input and output data that resides in SAS tables or MS SQL to and from "legacy" software programs without recoding. The potential end users are users who need to run legacy code and want data stored in a SQL database.

  1. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    SciTech Connect (OSTI)

    Sathaye, J.; Xu, T.; Galitsky, C.

    2010-08-15

    Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models.

  2. U.S. Energy Information Administration (EIA) - Data

    Gasoline and Diesel Fuel Update (EIA)

    Find statistics on energy consumption and efficiency across all fuel sources. + EXPAND ALL Residential Energy Consumption Survey data Household characteristics Release Date: March 28, 2011 Survey data for occupied primary housing units. Residential Energy Consumption Survey (RECS) Home energy use & costs Release Date: January, 2013 Energy consumption and expenditures by end uses by fuel. Residential Energy Consumption Survey (RECS) Detailed household microdata Release Date: February, 2013

  3. Taxonomy for Modeling Demand Response Resources

    SciTech Connect (OSTI)

    Olsen, Daniel; Kiliccote, Sila; Sohn, Michael; Dunn, Laura; Piette, Mary, A

    2014-08-01

    Demand response resources are an important component of modern grid management strategies. Accurate characterizations of DR resources are needed to develop systems of optimally managed grid operations and to plan future investments in generation, transmission, and distribution. The DOE Demand Response and Energy Storage Integration Study (DRESIS) project researched the degree to which demand response (DR) and energy storage can provide grid flexibility and stability in the Western Interconnection. In this work, DR resources were integrated with traditional generators in grid forecasting tools, specifically a production cost model of the Western Interconnection. As part of this study, LBNL developed a modeling framework for characterizing resource availability and response attributes of DR resources consistent with the governing architecture of the simulation modeling platform. In this report, we identify and describe the following response attributes required to accurately characterize DR resources: allowable response frequency, maximum response duration, minimum time needed to achieve load changes, necessary pre- or re-charging of integrated energy storage, costs of enablement, magnitude of controlled resources, and alignment of availability. We describe a framework for modeling these response attributes, and apply this framework to characterize 13 DR resources including residential, commercial, and industrial end-uses. We group these end-uses into three broad categories based on their response capabilities, and define a taxonomy for classifying DR resources within these categories. The three categories of resources exhibit different capabilities and differ in value to the grid. Results from the production cost model of the Western Interconnection illustrate that minor differences in resource attributes can have significant impact on grid utilization of DR resources. The implications of these findings will be explored in future DR valuation studies.

  4. H2A Biomethane Model Documentation and a Case Study for Biogas From Dairy Farms

    SciTech Connect (OSTI)

    Saur, G.; Jalalzadeh, A.

    2010-12-01

    The new H2A Biomethane model was developed to estimate the levelized cost of biomethane by using the framework of the vetted original H2A models for hydrogen production and delivery. For biomethane production, biogas from sources such as dairy farms and landfills is upgraded by a cleanup process. The model also estimates the cost to compress and transport the product gas via the pipeline to export it to the natural gas grid or any other potential end-use site. Inputs include feed biogas composition and cost, required biomethane quality, cleanup equipment capital and operations and maintenance costs, process electricity usage and costs, and pipeline delivery specifications.

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

    SciTech Connect (OSTI)

    1995-02-17

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

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

    SciTech Connect (OSTI)

    1998-01-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  7. Systems Modeling

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

    ... Model Nambe Pueblo Water Budget Model Hydrogen Futures Simulations Model Barton Springs ... & Analysis Project Algae Biofuels Techno-Economic Modeling and Analysis Project Climate ...

  8. Enduse Global Emissions Mitigation Scenarios (EGEMS): A New Generation of Energy Efficiency Policy Planning Models

    SciTech Connect (OSTI)

    McNeil, Michael A.; de la Rue du Can, Stephane; McMahon, James E.

    2009-05-29

    This paper presents efforts to date and prospective goals towards development of a modelling and analysis framework which is comprehensive enough to address the global climate crisis, and detailed enough to provide policymakers with concrete targets and achievable outcomes. In terms of energy efficiency policy, this requires coverage of the entire world, with emphasis on countries and regions with large and/or rapidly growing energy-related emissions, and analysis at the 'technology' level-building end use, transport mode or industrial process. These elements have not been fully addressed by existing modelling efforts, which usually take either a top-down approach, or concentrate on a few fully industrialized countries where energy demand is well-understood. Inclusion of details such as appliance ownership rates, use patterns and efficiency levels throughout the world allows for a deeper understanding of the demand for energy today and, more importantly, over the coming decades. This is a necessary next step for energy analysts and policy makers in assessment of mitigation potentials. The modelling system developed at LBNL over the past 3 years takes advantage of experience in end use demand and in forecasting markets for energy-consuming equipment, in combination with known technology-based efficiency opportunities and policy types. A particular emphasis has been placed on modelling energy growth in developing countries. Experiences to date include analyses covering individual countries (China and India), end uses (refrigerators and air conditioners) and policy types (standards and labelling). Each of these studies required a particular effort in data collection and model refinement--they share, however, a consistent approach and framework which allows comparison, and forms the foundation of a comprehensive analysis system leading to a roadmap to address the greenhouse gas mitigation targetslikely to be set in the coming years.

  9. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14

    Proper modeling of end use loads is very important in order to predict their behavior, and how they interact with the power system, including voltage and temperature dependencies, power system and load control functions, and the complex interactions that occur between devices in such an interconnected system. This paper develops multi-state time variant residential appliance models with demand response enabled capabilities in the GridLAB-DTM simulation environment. These models represent not only the baseline instantaneous power demand and energy consumption, but the control systems developed by GE Appliances to enable response to demand response signals and the change in behavior of the appliance in response to the signal. These DR enabled appliances are simulated to estimate their capability to reduce peak demand and energy consumption.

  10. Householder's Perceptions of Insulation Adequacy and Drafts in the Home in 2001

    Reports and Publications (EIA)

    2004-01-01

    In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality.

  11. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

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

    Administration (EIA) U. S. Census Regions and Divisions: census map About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows Tool

  12. Development and Validation of Aggregated Models for Thermostatic Controlled Loads with Demand Response

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Elizondo, Marcelo A.; Fuller, Jason C.; Lu, Shuai; Chassin, David P.

    2012-01-04

    Demand response is playing an increasingly important role in smart grid research and technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by various load control strategies is important to understanding the degree to which different classes of end-use load can contribute to demand response programs at various times. This paper focuses on developing aggregated control models for a population of thermostatically controlled loads. The effects of demand response on the load population dynamics are investigated.

  13. Programming models

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

    Task-based models Task-based models and abstractions (such as offered by CHARM++, Legion and HPX, for example) offer many attractive features for mapping computations onto...

  14. Lifecycle Model

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

    1997-05-21

    This chapter describes the lifecycle model used for the Departmental software engineering methodology.

  15. Estimates of U.S. Commercial Building Electricity Intensity Trends: Issues Related to End-Use and Supply Surveys

    SciTech Connect (OSTI)

    Belzer, David B.

    2004-09-04

    This report examines measurement issues related to the amount of electricity used by the commercial sector in the U.S. and the implications for historical trends of commercial building electricity intensity (kWh/sq. ft. of floor space). The report compares two (Energy Information Administration) sources of data related to commercial buildings: the Commercial Building Energy Consumption Survey (CBECS) and the reporting by utilities of sales to commercial customers (survey Form-861). Over past two decades these sources suggest significantly different trend rates of growth of electricity intensity, with the supply (utility)-based estimate growing much faster than that based only upon the CBECS. The report undertakes various data adjustments in an attempt to rationalize the differences between these two sources. These adjustments deal with: 1) periodic reclassifications of industrial vs. commercial electricity usage at the state level and 2) the amount of electricity used by non-enclosed equipment (non-building use) that is classified as commercial electricity sales. In part, after applying these adjustments, there is a good correspondence between the two sources over the the past four CBECS (beginning with 1992). However, as yet, there is no satisfactory explanation of the differences between the two sources for longer periods that include the 1980s.

  16. Alternative Strategies for Low-Pressure End Uses; Industrial Technologies Program (ITP) Compressed Air Tip Sheet #11 (Fact Sheet)

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

    1 * August 2004 Industrial Technologies Program Suggested Actions * Review the compressed air applications to determine which ones are valid high-pressure and which ones can operate at lower pressures. The ones that can operate at low pressure could be supported with alternative methods. * Consider a professional compressed air system evaluation. Such an exam could determine what applications could be served more effciently and which appropriate alternative applications could replace them.

  17. Public Meeting: Physical Characterization of Grid-Connected Commercial And Residential Building End-Use Equipment And Appliances

    Broader source: Energy.gov [DOE]

    BTO held a public meeting to solicit comments from the public on a draft framework. View the agenda, presentations, and summary notes.

  18. Power applications of high-temperature superconductivity: Variable speed motors, current switches, and energy storage for end use

    SciTech Connect (OSTI)

    Hawsey, R.A. [Oak Ridge National Lab., TN (United States); Banerjee, B.B.; Grant, P.M. [Electric Power Research Inst., Palo Alto, CA (United States)

    1996-08-01

    The objective of this project is to conduct joint research and development activities related to certain electric power applications of high-temperature superconductivity (HTS). The new superconductors may allow development of an energy-efficient switch to control current to variable speed motors, superconducting magnetic energy storage (SMES) systems, and other power conversion equipment. Motor types that were considered include induction, permanent magnet, and superconducting ac motors. Because it is impractical to experimentally alter certain key design elements in radial-gap motors, experiments were conducted on an axial field superconducting motor prototype using 4 NbTi magnets. Superconducting magnetic energy storage technology with 0.25--5 kWh stored energy was studied as a viable solution to short duration voltage sag problems on the customer side of the electric meter. The technical performance characteristics of the device wee assembled, along with competing technologies such as active power line conditioners with storage, battery-based uninterruptible power supplies, and supercapacitors, and the market potential for SMES was defined. Four reports were prepared summarizing the results of the project.

  19. RECS Fuel Oil Usage Form_v1 (Draft).xps

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

    fuel oil usage for this delivery address between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total...

  20. MHK Projects/Ocean Navitas NaREC | Open Energy Information

    Open Energy Info (EERE)

    Number of Devices Deployed 1 Main Overseeing Organization Ocean Navitas Project Licensing Environmental Monitoring and Mitigation Efforts See Tethys << Return to the MHK database...

  1. C:MydocsMYDOCSHATTIERECS97recsForms97Mail.PDF

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

    The survey is voluntary and is authorized under the Federal Energy Administration Act of 1974 (Public Law 93-275), as amended. Information about specific households will be kept ...

  2. C:MydocsMYDOCSHATTIERECS97recsForms97HHQUES.PDF

    Gasoline and Diesel Fuel Update (EIA)

    7) Form Approval: OMB No.: 1905-0092 Household Questionnaire Expires: March 31, 2000 U.S. Department of Energy Energy Information Administration 1997 Residential Energy Consumption Survey Household Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Response Analysis Corporation, a social science research firm. We are conducting a study for the U.S. Department of Energy about energy consumption in homes. Although your participation is voluntary, we hope you will

  3. C:MydocsMYDOCSHATTIERECS97recsForms97Mail.PDF

    Gasoline and Diesel Fuel Update (EIA)

    B (1997) Form Approval: OMB No.: 1905-0092 Nationwide Survey on Household Energy Use Expires: March 31, 2000 The numbers in parentheses are for office use only. This survey is being conducted for the U.S. Department of Energy by Response Analysis Corporation. The survey is voluntary and is authorized under the Federal Energy Administration Act of 1974 (Public Law 93-275), as amended. Information about specific households will be kept strictly confidential. The data will be summarized within

  4. C:MydocsMYDOCSHATTIERECS97recsForms97Rental.PDF

    Gasoline and Diesel Fuel Update (EIA)

    C (1997) Form Approval: OMB No.: 1905-0092 Rental Agents, Landlords, and Expires: March 31, 2000 Apartment Managers Questionnaire U.S. Department of Energy Energy Information Administration 1997 Residential Energy Consumption Survey Rental Agents, Landlords, and Apartment Managers Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Response Analysis Corporation, a social science research firm. We are conducting a study for the U.S. Department of Energy about

  5. MST-12 485-REC-R00 Treatment of Evaporator Bottoms Issued July 13 1984.pdf

    Office of Environmental Management (EM)

  6. Mechanism of homologous recombination from the RecA-ssDNA/dsDNA...

    Office of Scientific and Technical Information (OSTI)

    The DNA is underwound and stretched globally, but locally it adopts a B-DNA-like conformation that restricts the homology search to Watson-Crick-type base pairing. The ...

  7. CHEM.PLANT.ADMIN.REC.302.1.08.T.PDF

    Office of Legacy Management (LM)

    RECORD OF DECISION: DOE/OR/21548-376 Record of Decision for Remedial Action at the Chemical Plant Area of the Weldon Spring Site September 1993 U.S. Department of Energy Oak Ridge Field Office Weldon Spring Site Remedial Action Project RECORD OF DECISION: DOE/OR/21548-376 Record of Decision for Remedial Action at the Chemical Plant Area of the Weldon Spring Site September 1993 prepared by U.S. Department of Energy, Oak Ridge Field Office, Weldon Spring Site Remedial Action Project DECLARATION

  8. CHEM.PLANT.ADMIN.REC.302.1.08.T.PDF

    Office of Legacy Management (LM)

  9. IRA_ADMIN_REC_Respon_Summary_EPA_B409_IRA10.pdf

    Office of Legacy Management (LM)

  10. S_E_ADMIN_REC_100_101_01_THRU_100_101_09.pdf

    Office of Legacy Management (LM)

  11. Microsoft Word - 802.11i Rec Practices _KM-BL final edit ver 10_.doc

    Office of Environmental Management (EM)

    Securing WLANs using 802.11i Draft Recommended Practice February 2007 Securing WLANs using 802.11i Draft Author: Ken Masica, Lawrence Livermore National Laboratory February 2007 for Idaho National Laboratory Critical Infrastructure Protection Center Idaho Falls, Idaho 83415 Prepared by Lawrence Livermore National Laboratory Recommended Practices Guide Securing WLANs using 802.11i Ken Masica Vulnerability & Risk Assessment Program (VRAP) Lawrence Livermore National Laboratory (LLNL) for DHS

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

    SciTech Connect (OSTI)

    Zheng, Nina; Zhou, Nan; Fridley, David

    2010-09-01

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

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

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

    REC Linn County REC Maquoketa Valley Electric Cooperative Midland Power Cooperative Pella Cooperative Electric Association Southwest Iowa REC T.I.P. REC South Iowa Municipal...

  14. Ventilation Model

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-05

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. The purposes of Revision 01 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To further satisfy KTI agreements RDTME 3.01 and 3.14 (Reamer and Williams 2001a) by providing the source documentation referred to in the KTI Letter Report, ''Effect of Forced Ventilation on Thermal-Hydrologic Conditions in the Engineered Barrier System and Near Field Environment'' (Williams 2002). Specifically to provide the results of the MULTIFLUX model which simulates the coupled processes of heat and mass transfer in and around waste emplacement drifts during periods of forced ventilation. This portion of the model report is presented as an Alternative Conceptual Model with a numerical application, and also provides corroborative results used for model validation purposes (Section 6.3 and 6.4).

  15. Capacity planning in a transitional economy: What issues? Which models?

    SciTech Connect (OSTI)

    Mubayi, V.; Leigh, R.W.; Bright, R.N.

    1996-03-01

    This paper is devoted to an exploration of the important issues facing the Russian power generation system and its evolution in the foreseeable future and the kinds of modeling approaches that capture those issues. These issues include, for example, (1) trade-offs between investments in upgrading and refurbishment of existing thermal (fossil-fired) capacity and safety enhancements in existing nuclear capacity versus investment in new capacity, (2) trade-offs between investment in completing unfinished (under construction) projects based on their original design versus investment in new capacity with improved design, (3) incorporation of demand-side management options (investments in enhancing end-use efficiency, for example) within the planning framework, (4) consideration of the spatial dimensions of system planning including investments in upgrading electric transmission networks or fuel shipment networks and incorporating hydroelectric generation, (5) incorporation of environmental constraints and (6) assessment of uncertainty and evaluation of downside risk. Models for exploring these issues include low power shutdown (LPS) which are computationally very efficient, though approximate, and can be used to perform extensive sensitivity analyses to more complex models which can provide more detailed answers but are computationally cumbersome and can only deal with limited issues. The paper discusses which models can usefully treat a wide range of issues within the priorities facing decision makers in the Russian power sector and integrate the results with investment decisions in the wider economy.

  16. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01

    The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

  17. Aggregated Modeling of Thermostatic Loads in Demand Response: A Systems and Control Perspective

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Chassin, Forrest S.; Chassin, David P.

    2011-12-12

    Demand response is playing an increasingly important role in smart grid research and technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by various load control strategies is important to understanding the degree to which different classes of end-use load can contribute to demand response programs at various times. This paper focuses on developing aggregated models for a homogeneous population of thermostatically controlled loads. The different types of loads considered in this paper include, but are not limited to, water heaters and HVAC units. The effects of demand response and user over-ride on the load population dynamics are investigated. The controllability of the developed lumped models is validated which forms the basis for designing different control strategies.

  18. Models Datasets

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

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  19. Autonomie Model

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

    Autonomie Model (Argonne National Laboratory) Objectives Perform simulations to assess the energy consumption and performance of advanced component and powertrain technologies in a vehicle system context. Key Attributes & Strengths Developed over the past 15 years, Autonomie has been validated using component and vehicle test data, providing confidence in the results. Thus, the tool is widely accepted by the industry and has been licensed to more than 150 organizations worldwide. The model

  20. A Model of U.S. Commercial Distributed Generation Adoption

    SciTech Connect (OSTI)

    LaCommare, Kristina Hamachi; Ryan Firestone; Zhou, Nan; Maribu,Karl; Marnay, Chris

    2006-01-10

    Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems over the next two decades. Forecasts of DG adoption published by the Energy Information Administration (EIA) in the Annual Energy Outlook (AEO) are made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. NEMS is also used for estimating the future benefits of Department of Energy research and development used in support of budget requests and management decisionmaking. The NEMS approach to modeling DG has some limitations, including constraints on the amount of DG allowed for retrofits to existing buildings and a small number of possible sizes for each DG technology. An alternative approach called Commercial Sector Model (ComSeM) is developed to improve the way in which DG adoption is modeled. The approach incorporates load shapes for specific end uses in specific building types in specific regions, e.g., cooling in hospitals in Atlanta or space heating in Chicago offices. The Distributed Energy Resources Customer Adoption Model (DER-CAM) uses these load profiles together with input cost and performance DG technology assumptions to model the potential DG adoption for four selected cities and two sizes of five building types in selected forecast years to 2022. The Distributed Energy Resources Market Diffusion Model (DER-MaDiM) is then used to then tailor the DER-CAM results to adoption projections for the entire U.S. commercial sector for all forecast years from 2007-2025. This process is conducted such that the structure of results are consistent with the structure of NEMS, and can be re-injected into NEMS that can then be used to integrate adoption results into a full forecast.