Sample records for ten end-use services14

  1. End-use taxes: Current EIA practices

    SciTech Connect (OSTI)

    Not Available

    1994-08-17T23:59:59.000Z

    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.

  2. 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.

    2012-05-01T23:59:59.000Z

    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.

  3. Healthcare Energy End-Use Monitoring

    SciTech Connect (OSTI)

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

    2014-08-01T23:59:59.000Z

    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.

  4. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of4

  5. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of47

  6. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of478

  7. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of4787

  8. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of47878

  9. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses

  10. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses8 End

  11. Realizing Building End-Use Efficiency with Ermerging Technologies

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  12. Energy End-Use Intensities in Commercial Buildings1992 -- Overview/End-Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand Tables End-Use1995 End-Use

  13. Ten Problems

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem Not FoundInformation DOEInformation Summary Big* - 'TOUGHREACT:TechnologyTen

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

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Consumption by End Use",6,"Monthly","12015","1151989" ,"Release...

  15. Monitoring of Electrical End-Use Loads in Commercial Buildings

    E-Print Network [OSTI]

    Martinez, M.; Alereza, T.; Mort, D.

    1988-01-01T23:59:59.000Z

    Southern California Edison is currently conducting a program to collect end-use metered data from commercial buildings in its service area. The data will provide actual measurements of end-use loads and will be used in research and in designing...

  16. Canadian Industrial Energy End-use Data and Analysis

    E-Print Network [OSTI]

    CIEEDAC Canadian Industrial Energy End-use Data and Analysis Centre Prospectus and Business Plan as part clearinghouse, part depository, and part analysis centre for energy data on the Canadian EXECUTIVE SUMMARY CIEEDAC ii Executive Summary 1. Background The Canadian Industrial Energy End-use Data

  17. Residential Behavioral Savings: An Analysis of Principal Electricity End Uses in British Columbia

    E-Print Network [OSTI]

    Tiedemann, Kenneth Mr.

    2013-01-01T23:59:59.000Z

    of residential end use electricity consumption for Britishresidential electricity consumption by end use Apply theresidential end use electricity consumption using a

  18. Industrial Steam Power Cycles Final End-Use Classification

    E-Print Network [OSTI]

    Waterland, A. F.

    1983-01-01T23:59:59.000Z

    Final end uses of steam include two major classifications: those uses that condense the steam against heat transfer surfaces to provide heat to an item of process or service equipment; and those that require a mass flow of steam for stripping...

  19. 1999 Commercial Buildings Characteristics--Energy Sources and End Uses

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility PlantsEnd-Use

  20. End-Use Load and Consumer Assessment Program: Characterizing residential thermal performance from high resolution end-use data

    SciTech Connect (OSTI)

    Miller, N.E.; Pearson, E.W.; Stokes, G.M.; Pratt, R.G.; Williamson, M.A.

    1991-01-01T23:59:59.000Z

    The Bonneville Power Administration (Bonneville) began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983. Prior to beginning the ELCAP, there was an abundance of information regarding total power consumption for residential structures in the Pacific Northwest and limited information regarding power consumption by various end uses. The purpose of ELCAP is to collect actual end-use load data from both residential and commercial buildings in the region. This report presents the methodology used in several statistical modeling studies carried out on the ELCAP data between 1986 and 1989. These studies involve the thermal characterization of homes and comparisons of building techniques and conservation measures by residential and commercial consumers within the Bonneville service area of the Pacific Northwest. Each data gathering technique was successful in extracting a specific set of consumer-related energy use information. The analytical techniques used in these studies are compiled in this methodology report and are to be used in conjunction with Volume 2 -- Analysis. This should facilitate ease of reference use during future analyses. It is anticipated that the data gathered on participating consumers could potentially be used to aid in decisions regarding the management of the Northwest's electrical energy resources. 7 refs., 6 figs., 2 tabs.

  1. 1999 Commercial Buildings Characteristics--End-Use Equipment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility PlantsEnd-Use Equipment

  2. Energy End-Use Intensities in Commercial Buildings 1992

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand Tables End-Use

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of Fuel

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses of4 End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses of

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses of2

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses45

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses456

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses4567

  13. End-Use Load and Consumer Assessment Program: Characterizing residential thermal performance from high resolution end-use data

    SciTech Connect (OSTI)

    Miller, N.E.; Williamson, M.A.; Bailey, S.A.; Pratt, R.G.; Stokes, G.M.; Sandusky, W.F.; Pearson, E.W.; Roberts, J.S.

    1991-06-01T23:59:59.000Z

    This document is part of a two-volume set describing a series of thermal analyses of the residential buildings monitored under the End-Use Load and Consumer Assessment Program. Volume 1 describes in detail the thermal analysis methodology employed. Volume 2 presents the results of applying the methodology in a series of four distinct analyses: (1) an analysis of the first monitored heating season, 1985--1986; (2) an analysis of the second monitored heating season, (3) a comparison of first- and second-year analyses showing changes in residential consumption with changes in weather and evaluating the ability of the analytical technique to discriminate those changes; and (4) a continuation of the previous analyses evaluating the effects of foundation type and heating system type on the results.

  14. End use energy consumption data base: transportation sector

    SciTech Connect (OSTI)

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

    1980-02-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2009-03-30T23:59:59.000Z

    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.

  16. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    4.50 Foreign LBL 7896 ENERGY CONSERVATION: POLICY ISSUES ANDBarriers to Industrial Energy Conservation 2) The Process ofs·------------- 6. END-USE ENERGY CONSERVATION DATA BASE AND

  17. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    modeling framework of the Residential End-Use Energy Plamiing System (REEPS) developed for the Electric

  18. String universality in ten dimensions

    E-Print Network [OSTI]

    Allan Adams; Oliver DeWolfe; Washington Taylor

    2014-10-29T23:59:59.000Z

    We show that the ${\\cal N}=1$ supergravity theories in ten dimensions with gauge groups $U(1)^{496}$ and $E_8 \\times U(1)^{248}$ are not consistent quantum theories. Cancellation of anomalies cannot be made compatible with supersymmetry and abelian gauge invariance. Thus, in ten dimensions all supersymmetric theories of gravity without known inconsistencies are realized in string theory.

  19. Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations

    E-Print Network [OSTI]

    Konopacki, S.J.

    2010-01-01T23:59:59.000Z

    4. Figure 5-5. 1993 Electricity Consumption Estimates by EndkWh/ft ) 1993 Electricity Consumption Estimates by End Useof Total) 1993 Electricity Consumption Estimates by End Use

  20. Commercial equipment loads: End-Use Load and Consumer Assessment Program (ELCAP)

    SciTech Connect (OSTI)

    Pratt, R.G.; Williamson, M.A.; Richman, E.E.; Miller, N.E.

    1990-07-01T23:59:59.000Z

    The Office of Energy Resources of the Bonneville Power Administration is generally responsible for the agency's power and conservation resource planning. As associated responsibility which supports a variety of office functions is the analysis of historical trends in and determinants of energy consumption. The Office of Energy Resources' End-Use Research Section operates a comprehensive data collection program to provide pertinent information to support demand-side planning, load forecasting, and demand-side program development and delivery. Part of this on-going program is known as the End-Use Load and Consumer Assessment Program (ELCAP), an effort designed to collect electricity usage data through direct monitoring of end-use loads in buildings. This program is conducted for Bonneville by the Pacific Northwest Laboratory. This report provides detailed information on electricity consumption of miscellaneous equipment from the commercial portion of ELCAP. Miscellaneous equipment includes all commercial end-uses except heating, ventilating, air conditioning, and central lighting systems. Some examples of end-uses covered in this report are office equipment, computers, task lighting, refrigeration, and food preparation. Electricity consumption estimates, in kilowatt-hours per square food per year, are provided for each end-use by building type. The following types of buildings are covered: office, retail, restaurant, grocery, warehouse, school, university, and hotel/motel. 6 refs., 35 figs., 12 tabs.

  1. Analysis of PG E's residential end-use metered data to improve electricity demand forecasts

    SciTech Connect (OSTI)

    Eto, J.H.; Moezzi, M.M.

    1992-06-01T23:59:59.000Z

    It is generally acknowledged that improvements to end-use load shape and peak demand forecasts for electricity are limited primarily by the absence of reliable end-use data. In this report we analyze recent end-use metered data collected by the Pacific Gas and Electric Company from more than 700 residential customers to develop new inputs for the load shape and peak demand electricity forecasting models used by the Pacific Gas and Electric Company and the California Energy Commission. Hourly load shapes are normalized to facilitate separate accounting (by the models) of annual energy use and the distribution of that energy use over the hours of the day. Cooling electricity consumption by central air-conditioning is represented analytically as a function of climate. Limited analysis of annual energy use, including unit energy consumption (UEC), and of the allocation of energy use to seasons and system peak days, is also presented.

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

    SciTech Connect (OSTI)

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

    2008-07-31T23:59:59.000Z

    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.

  3. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    End-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyEnd-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyPower Research Institute. EPRI Research Project Meier, Alan

  4. Energy End-Use Intensities in Commercial Buildings 1995 - Index Page

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand Tables End-Use1995 End-Use Data

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

    SciTech Connect (OSTI)

    Levine, M.D.; Koomey, J.; Price, L. [Lawrence Berkeley Lab., CA (United States); Geller, H.; Nadel, S. [American Council for an Energy-Efficient Economy, Washington, DC (United States)

    1992-03-01T23:59:59.000Z

    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.

  6. End-use energy consumption estimates for US commercial buildings, 1989

    SciTech Connect (OSTI)

    Belzer, D.B.; Wrench, L.E.; Marsh, T.L. [Pacific Northwest Lab., Richland, WA (United States)

    1993-11-01T23:59:59.000Z

    An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs within the Department of Energy, by utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1989 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Billing data for electricity and natural gas were first decomposed into weather and nonweather dependent loads. Subsequently, Statistical Adjusted Engineering (SAE) models were estimated by building type with annual data. The SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption. End-use consumption by fuel was estimated for each of the 5,876 buildings in the 1989 CBECS. The report displays the summary results for eleven separate building types as well as for the total US commercial building stock.

  7. Ten Thousand Years of Solitude

    SciTech Connect (OSTI)

    Benford, G. (Los Alamos National Lab., NM (USA) California Univ., Irvine, CA (USA). Dept. of Physics); Kirkwood, C.W. (Los Alamos National Lab., NM (USA) Arizona State Univ., Tempe, AZ (USA). Coll. of Business Administration); Harry, O. (Los Alamos National Lab., NM (USA)); Pasqualetti, M.J. (Los Alamos National Lab., NM (USA) Arizona State Univ., Tempe, AZ (USA))

    1991-03-01T23:59:59.000Z

    This report documents the authors work as an expert team advising the US Department of Energy on modes of inadvertent intrusion over the next 10,000 years into the Waste Isolation Pilot Project (WIPP) nuclear waste repository. Credible types of potential future accidental intrusion into the WIPP are estimated as a basis for creating warning markers to prevent inadvertent intrusion. A six-step process is used to structure possible scenarios for such intrusion, and it is concluded that the probability of inadvertent intrusion into the WIPP repository over the next ten thousand years lies between one and twenty-five percent. 3 figs., 5 tabs.

  8. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    Administration. April. EPRI. 1982. Residential End-UseInstitute. EA-2512. July. EPRI. 1990. REEPS 2.0 HVAC ModelInstitute. October 11. EPRI, Electric Power Research

  9. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    technologies. The heating technologies are: natural gasThe combination of a heating technology, cooling technologyCharacteristics End-Use Heating Technology Efficiency Units

  10. Energy Conservation: Policy Issues and End-Use Scenarios of Savings Potential -- Part 3, Policy Barriers and Investment Decisions in Industry

    E-Print Network [OSTI]

    Benenson, Peter

    2011-01-01T23:59:59.000Z

    CONAES) and FEA End Use Energy Consumption Data Base: 1978).and FEA End Use Energy Consumption Data Base: 1978). (3)CONAES) and FEA End Use Energy Consumption Data Base: 1978).

  11. Energy End-Use Intensities in Commercial Buildings 1989 data -- Publication

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand Tables End-Use Intensities

  12. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses8 End1.

  13. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses8

  14. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses85 End

  15. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses85 End6

  16. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses85 End65

  17. Table E9. Total End-Use Energy Expenditure Estimates, 2012

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S. CoalInputsTotal Stocks4.E9. Total End-Use

  18. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses85

  19. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses855 End

  20. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses855 End6

  1. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    Natural Gas Oil Lighting 0-1 hrs 1-2 his 2-3 hrs Usage levelNatural gas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs UsageNatural gas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs Usage

  2. Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    was developed by the Electric Power Research Institute (McMenamin et al. 1992). In this modeling framework the modeling framework of the Residential End-Use Energy Planning System (REEPS) developed for the Electric provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

  3. Large CO2 reductions via offshore wind power matched to inherent storage in energy end-uses

    E-Print Network [OSTI]

    Jacobson, Mark

    Large CO2 reductions via offshore wind power matched to inherent storage in energy end-uses Willett develop methods for assessing offshore wind resources, using a model of the vertical structure offshore wind power matched to inherent storage in energy end- uses, Geophys. Res. Lett., 34, L02817, doi

  4. End-use matching for solar industrial process heat. Final report

    SciTech Connect (OSTI)

    Brown, K.C.; Hooker, D.W.; Rabl, A.; Stadjuhar, S.A.; West, R.E.

    1980-01-01T23:59:59.000Z

    Because of the large energy demand of industry (37% of US demand) and the wide spectrum of temperatures at which heat is required, the industrial sector appears to be very suitable for the matching of solar thermal technology with industrial process heat (IPH) requirements. A methodology for end-use matching has been devised, complete with required data bases and an evaluation program PROSYS/ECONMAT. Six cities in the United States were selected for an analysis of solar applications to IPH. Typical process heat requirements for 70% of the industrial plants in each city were identified and evaluated in conjunction with meteorological and economic data for each site to determine lowest-cost solar systems for each application. The flexibility and scope of PROSYS/ECONMAT is shown in a variety of sensitivity studies that expand the results of the six-city analysis. Case studies of two industrial plants were performed to evaluate the end-use matching procedure; these results are reported.

  5. 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.

    2007-11-27T23:59:59.000Z

    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.

  6. 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.

    2012-12-01T23:59:59.000Z

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

  7. 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.

  8. 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.

    1994-05-01T23:59:59.000Z

    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.

  9. Development of an Energy Savings Benchmark for All Residential End-Uses: Preprint

    SciTech Connect (OSTI)

    Hendron, R.; Anderson, R.; Christensen, C.; Eastment, M.; Reeves, P.

    2004-08-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America Research Benchmark in 2003. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines, with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. A series of user profiles, intended to represent the behavior of a''standard'' set of occupants, was created for use in conjunction with the Benchmark. Finally, a set of tools was developed by NREL and other Building America partners to help analysts compare whole-house energy use for a Prototype house to the Benchmark in a fair and consistent manner.

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

    SciTech Connect (OSTI)

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

    2006-06-01T23:59:59.000Z

    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.

  11. Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts

    SciTech Connect (OSTI)

    Eto, J.H.; Moezzi, M.M.

    1992-06-01T23:59:59.000Z

    It is generally acknowledged that improvements to end-use load shape and peak demand forecasts for electricity are limited primarily by the absence of reliable end-use data. In this report we analyze recent end-use metered data collected by the Pacific Gas and Electric Company from more than 700 residential customers to develop new inputs for the load shape and peak demand electricity forecasting models used by the Pacific Gas and Electric Company and the California Energy Commission. Hourly load shapes are normalized to facilitate separate accounting (by the models) of annual energy use and the distribution of that energy use over the hours of the day. Cooling electricity consumption by central air-conditioning is represented analytically as a function of climate. Limited analysis of annual energy use, including unit energy consumption (UEC), and of the allocation of energy use to seasons and system peak days, is also presented.

  12. Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora tasks

    E-Print Network [OSTI]

    Dupont, Stéphane

    Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora was tested on the set of speech corpora used for the "Aurora" evaluation. Using the feature stream generated and server side ASR processing, a standartization initiative called "Aurora" was initiated within European

  13. Technology data characterizing lighting in commercial buildings: Application to end-use forecasting with commend 4.0

    SciTech Connect (OSTI)

    Sezgen, A.O.; Huang, Y.J.; Atkinson, B.A.; Eto, J.H.; Koomey, J.G.

    1994-05-01T23:59:59.000Z

    End-use forecasting models typically utilize technology tradeoff curves to represent technology options available to consumers. A tradeoff curve, in general terms, is a functional form which relates efficiency to capital cost. Each end-use is modeled by a single tradeoff curve. This type of representation is satisfactory in the analysis of many policy options. On the other hand, for policies addressing individual technology options or groups of technology options, because individual technology options are accessible to the analyst, representation in such reduced form is not satisfactory. To address this and other analysis needs, the Electric Power Research Institute (EPRI) has enhanced its Commercial End-Use Planning System (COMMEND) to allow modeling of specific lighting and space conditioning (HVAC) technology options. This report characterizes the present commercial floorstock in terms of lighting technologies and develops cost-efficiency data for these lighting technologies. This report also characterizes the interactions between the lighting and space conditioning end uses in commercial buildings in the US In general, lighting energy reductions increase the heating and decrease the cooling requirements. The net change in a building`s energy requirements, however, depends on the building characteristics, operating conditions, and the climate. Lighting/HVAC interactions data were generated through computer simulations using the DOE-2 building energy analysis program.

  14. Control Policy: End-User and End-Use Based Part 744--page 1 Export Administration Regulations October 1, 2001

    E-Print Network [OSTI]

    Bernstein, Daniel

    of items subject to the EAR to defined nuclear, missile, chemical and biological weapons, and nuclear nuclear, missile, chemical, or biological end- uses regardless of whether that support involves the export items for certain aircraft and vessels. In addition, these sections include license review standards

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

    Reports and Publications (EIA)

    2007-01-01T23:59:59.000Z

    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.

  16. 2 Large CO2 reductions via offshore wind power matched to inherent 3 storage in energy end-uses

    E-Print Network [OSTI]

    Firestone, Jeremy

    2 Large CO2 reductions via offshore wind power matched to inherent 3 storage in energy end-uses 4] We develop methods for assessing offshore wind 9 resources, using a model of the vertical structure. Dhanju, R. W. 26 Garvine, and M. Z. Jacobson (2007), Large CO2 reductions via 27 offshore wind power

  17. IMPACTS OF GREENHOUSE GAS AND PARTICULATE EMISSIONS FROM WOODFUEL PRODUCTION AND END-USE IN SUB-SAHARAN AFRICA

    E-Print Network [OSTI]

    Kammen, Daniel M.

    the pollution associated with production, distribution and end-use of common household fuels and assess. At the household level, energy is derived primarily from solid biomass fuels burned in simple stoves with poor & African Center for Technology Studies, Nairobi, Kenya ABSTRACT: Household energy in sub-Saharan Africa

  18. TenTen: A New Array of Multi-TeV Imaging Cherenkov Telescopes

    E-Print Network [OSTI]

    G. Rowell; V. Stamatescu; R. Clay; B. Dawson; J. Denman; R. Protheroe; A. G. K. Smith; G. Thornton; N. Wild

    2007-10-10T23:59:59.000Z

    The exciting results from H.E.S.S. point to a new population of gamma-ray sources at energies E > 10 TeV, paving the way for future studies and new discoveries in the multi-TeV energy range. Connected with these energies is the search for sources of PeV cosmic-rays (CRs) and the study of multi-TeV gamma-ray production in a growing number of astrophysical environments. TenTen is a proposed stereoscopic array (with a suggested site in Australia) of modest-sized (10 to 30m^2) Cherenkov imaging telescopes with a wide field of view (8 to 10deg diameter) optimised for the E~10 to 100 TeV range. TenTen will achieve an effective area of ~10 km^2 at energies above 10 TeV. We outline here the motivation for TenTen and summarise key performance parameters.

  19. Ten Year Site Plans | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative JC3 RSS SeptemberRenewable Energy, U.S. DepartmentTechnology Ten Year Site Plans Ten

  20. Graphics Recognition: The Last Ten Years and the Next Ten Years

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Graphics Recognition: The Last Ten Years and the Next Ten Years Karl Tombre LORIA-INPL, ´Ecole des'05 marked the 10th anniversary of the series of inter- national workshops on graphics recognition to be Drifting Away Looking at the research themes of the groups active in graphics recognition, it appears

  1. 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. [and others

    1995-12-01T23:59:59.000Z

    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.

  2. Ten Years of Development Experience with Advanced Light Truck...

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

    Ten Years of Development Experience with Advanced Light Truck Diesel Engines Ten Years of Development Experience with Advanced Light Truck Diesel Engines 2004 Diesel Engine...

  3. The FY 2008 Budget Request - Twenty in Ten: Strengthening America...

    Office of Environmental Management (EM)

    8 Budget Request - Twenty in Ten: Strengthening America's Energy Security The FY 2008 Budget Request - Twenty in Ten: Strengthening America's Energy Security DOE's Office of Energy...

  4. 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.

  5. TenKsolar Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:HoldingsTechintIsNumeric JumpTerrace,theTenKsolar Inc Jump

  6. Bos ten AG | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouthby 2022Illinois:InformationInformationBos ten AG

  7. The evolution of carbon dioxide emissions from energy use in industrialized countries: an end-use analysis

    SciTech Connect (OSTI)

    Schipper, L.; Ting, M.; Khrushch, M.; Unander, F.; Monahan, P.; Golove, W.

    1996-08-01T23:59:59.000Z

    There has been much attention drawn to plans for reductions or restraint in future C02 emissions, yet little analysis of the recent history of those emissions by end use or economic activity. Understanding the components of C02 emissions, particularly those related to combustion of fossil fuels, is important for judging the likely success of plans for dealing with future emissions. Knowing how fuel switching, changes in economic activity and its structure, or changes in energy-use efficiency affected emissions in the past, we can better judge both the realism of national proposals to restrain future emissions and the outcome as well. This study presents a first step in that analysis. The organization of this paper is as follows. We present a brief background and summarize previous work analyzing changes in energy use using the factorial method. We then describe our data sources and method. We then present a series of summary results, including a comparison of C02 emissions in 1991 by end use or sector. We show both aggregate change and change broken down by factor, highlighting briefly the main components of change. We then present detailed results, sector by sector. Next we highlight recent trends. Finally, we integrate our results, discussing -the most important factors driving change - evolution in economic structure, changes in energy intensities, and shifts in the fuel mix. We discuss briefly some of the likely causes of these changes - long- term technological changes, effects of rising incomes, the impact of overall changes in energy prices, as well as changes in the relative prices of energy forms.

  8. Measured electric hot water standby and demand loads from Pacific Northwest homes. End-Use Load and Consumer Assessment Program

    SciTech Connect (OSTI)

    Pratt, R.G.; Ross, B.A.

    1991-11-01T23:59:59.000Z

    The Bonneville Power Administration began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983 to obtain metered hourly end-use consumption data for a large sample of new and existing residential and commercial buildings in the Pacific Northwest. Loads and load shapes from the first 3 years of data fro each of several ELCAP residential studies representing various segments of the housing population have been summarized by Pratt et al. The analysis reported here uses the ELCAP data to investigate in much greater detail the relationship of key occupant and tank characteristics to the consumption of electricity for water heating. The hourly data collected provides opportunities to understand electricity consumption for heating water and to examine assumptions about water heating that are critical to load forecasting and conservation resource assessments. Specific objectives of this analysis are to: (A) determine the current baseline for standby heat losses by determining the standby heat loss of each hot water tank in the sample, (B) examine key assumptions affecting standby heat losses such as hot water temperatures and tank sizes and locations, (C) estimate, where possible, impacts on standby heat losses by conservation measures such as insulating tank wraps, pipe wraps, anticonvection valves or traps, and insulating bottom boards, (D) estimate the EF-factors used by the federal efficiency standards and the nominal R-values of the tanks in the sample, (E) develop estimates of demand for hot water for each home in the sample by subtracting the standby load from the total hot water load, (F) examine the relationship between the ages and number of occupants and the hot water demand, (G) place the standby and demand components of water heating electricity consumption in perspective with the total hot water load and load shape.

  9. The First Ten Years of Swift Supernovae

    E-Print Network [OSTI]

    Brown, Peter J; Milne, Peter A

    2015-01-01T23:59:59.000Z

    The Swift Gamma Ray Burst Explorer has proven to be an incredible platform for studying the multiwavelength properties of supernova explosions. In its first ten years, Swift has observed over three hundred supernovae. The ultraviolet observations reveal a complex diversity of behavior across supernova types and classes. Even amongst the standard candle type Ia supernovae, ultraviolet observations reveal distinct groups. When the UVOT data is combined with higher redshift optical data, the relative populations of these groups appear to change with redshift. Among core-collapse supernovae, Swift discovered the shock breakout of two supernovae and the Swift data show a diversity in the cooling phase of the shock breakout of supernovae discovered from the ground and promptly followed up with Swift. Swift observations have resulted in an incredible dataset of UV and X-ray data for comparison with high-redshift supernova observations and theoretical models. Swift's supernova program has the potential to dramaticall...

  10. Powers of Ten Thousand: Navigating in Large Information Spaces

    E-Print Network [OSTI]

    Powers of Ten Thousand: Navigating in Large Information Spaces Henry Lieberman Media Laboratory large display space, for example, a street map of the entire United States? The traditional solution, on a scale of at least 1 to 10,000. Powers of ten thousand The book and film Powers of Ten [Morrison

  11. 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.

  12. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings 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.

  13. Financing end-use solar technologies in a restructured electricity industry: Comparing the cost of public policies

    SciTech Connect (OSTI)

    Jones, E.; Eto, J.

    1997-09-01T23:59:59.000Z

    Renewable energy technologies are capital intensive. Successful public policies for promoting renewable energy must address the significant resources needed to finance them. Public policies to support financing for renewable energy technologies must pay special attention to interactions with federal, state, and local taxes. These interactions are important because they can dramatically increase or decrease the effectiveness of a policy, and they determine the total cost of a policy to society as a whole. This report describes a comparative analysis of the cost of public policies to support financing for two end-use solar technologies: residential solar domestic hot water heating (SDHW) and residential rooftop photovoltaic (PV) systems. The analysis focuses on the cost of the technologies under five different ownership and financing scenarios. Four scenarios involve leasing the technologies to homeowners in return for a payment that is determined by the financing requirements of each form of ownership. For each scenario, the authors examine nine public policies that might be used to lower the cost of these technologies: investment tax credits (federal and state), production tax credits (federal and state), production incentives, low-interest loans, grants (taxable and two types of nontaxable), direct customer payments, property and sales tax reductions, and accelerated depreciation.

  14. Integrated estimation of commercial sector end-use load shapes and energy use intensities in the PG&E service area

    SciTech Connect (OSTI)

    Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

    1993-12-01T23:59:59.000Z

    This project represents a unique research effort to address the commercial sector end-use energy forecasting data needs of the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). The object of the project was to develop an updated set of commercial sector end-use energy use intensity (EUI) data that has been fully reconciled with measured data. The research was conducted in two stages. First, we developed reconciled electricity end-use EUIs and load shapes for each of the 11 building types in the inland and coastal regions of the PG&E service territory using information collected in 1986. Second, we developed procedures to translate these results into a consistent set of commercial sector forecasting model inputs recognizing the separate modeling conventions used by PG&E and CEC. EUIs have been developed for: II commercial building types; up to 10 end uses; up to 3 fuel types; 2 and 5 subservice territory forecasting regions (as specified by the PG&E and CEC forecasting models, respectively); and up to 2 distinct vintages corresponding to the period prior to and immediately following the adoption of the first generation of California building and equipment standards. For the electricity end uses, 36 sets of daily load shapes have been developed representing average weekday, average weekend, and peak weekday electricity use for each month of the year by building type for both the inland and coastal climate zones.

  15. Ten New Mexico small businesses recognized at Innovation Celebration...

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

    NM small businesses recognized at Innovation Celebration Ten New Mexico small businesses recognized at Innovation Celebration April 3 Small businesses participating in projects...

  16. Ten LLNL researchers named 2014 APS fellows | National Nuclear...

    National Nuclear Security Administration (NNSA)

    and diffuse the knowledge of physics through research journals, scientific meetings, education, outreach, advocacy and international activities. Ten fellows is the highest number...

  17. Final Environmental Impact Report: North Brawley Ten Megawatt...

    Open Energy Info (EERE)

    Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal Demonstration Facility Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Final...

  18. Data Acquisition-Manipulation At Valley Of Ten Thousand Smokes...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Data Acquisition-Manipulation At Valley Of Ten Thousand Smokes Region Area (Kodosky & Keith,...

  19. Concurrence' Lawrence Livermore National Laboratory FY2015 Ten...

    National Nuclear Security Administration (NNSA)

    manufacturing * Special nuclear materials-plutonium and tritium * High performance computing FY2015 Ten Year Site Plan Limited Report Page 3 of 6 Lawrence Livermore...

  20. Water Sampling At Valley Of Ten Thousand Smokes Region Area ...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Valley Of Ten Thousand Smokes Region Area (Keith, Et Al., 1992)...

  1. TungsTen--2004 79. Referencesthatincludeasectionmark()arefoundintheInternet

    E-Print Network [OSTI]

    TungsTen--2004 79. Referencesthatincludeasectionmark(§)arefoundintheInternet ReferencesCitedsection. TungsTen ByKimB.shedd Domestic survey data and tables were prepared by Amy C. Tolcin, statistical assistant, and the world production table was prepared by Glenn J. Wallace, international data coordinator

  2. Isotopic Analysis At Valley Of Ten Thousand Smokes Region Area...

    Open Energy Info (EERE)

    Date Usefulness not indicated DOE-funding Unknown References T. E. C. Keith, J. M. Thompson, R. A. Hutchinson, L. D. White (1992) Geochemistry Of Waters In The Valley Of Ten...

  3. Schneider Electric Boasts Ten Facilities Certified to Superior...

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

    ten facilities certified to the Superior Energy Performance (SEP(tm)) program and to ISO 50001 in the United States, Canada, and Mexico. This is the most SEP certifications...

  4. 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.

  5. 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

    1982-01-01T23:59:59.000Z

    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.

  6. Export Controls "Top Ten" List Considerations for All University Employees

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Export Controls "Top Ten" List Considerations for All University Employees 1. Export control laws various aspects of export controls: · Department of Commerce for civilian and "dual-use" technologies sanctions. 3. There are two kinds of exports: · Physical shipments of technology and equipment to a foreign

  7. Ten-year PVC geomembrane durability E. J. Newman1

    E-Print Network [OSTI]

    PROOFS Ten-year PVC geomembrane durability E. J. Newman1 and T. D. Stark2 1 Graduate Research of an ongoing study on the long-term performance of a PVC geomembrane in northern Minnesota are presented. Samples of PVC geomembrane and seams are exhumed periodically over a 30-year period and tested to measure

  8. Ten utilities receive acid rain bonus allowances from EPA

    SciTech Connect (OSTI)

    NONE

    1995-12-31T23:59:59.000Z

    The United States Environmental Protection Agency (EPA) recently awarded 1,349 acid rain bonus allowances to ten utilities for energy efficiency and renewable energy measures. An allowance licensesthee emission of one ton of sulfur dioxide. A limited number of allowances are allocated to utilities to ensure that emissions will be cut to less than 9 million tons per year.

  9. ORIGINAL PAPER R. van Blokland M. ten Lohuis P. Meyer

    E-Print Network [OSTI]

    Meyer, Peter

    ORIGINAL PAPER R. van Blokland á M. ten Lohuis á P. Meyer Condensation of chromatin (Flavell 1994; Matzke and Matzke 1995; Meyer 1995). In recent years, our group has studied expression of the maize A1 gene in Petunia hybrida to monitor transcriptional inactivation (Meyer 1995a). This work led

  10. Technical descriptions of ten irrigation technologies for conserving energy

    SciTech Connect (OSTI)

    Harrer, B.J.; Wilfert, G.L.

    1983-05-01T23:59:59.000Z

    Technical description of ten technologies which were researched to save energy in irrigated agriculture are presented. These technologies are: well design and development ground water supply system optimization, column and pump redesign, variable-speed pumping, pipe network optimization, reduced-pressure center-pivot systems, low-energy precision application, automated gated-pipe system, computerized irrigation scheduling, and instrumented irrigation scheduling. (MHR)

  11. 3-D Characterization of the Structure of Paper and Paperboard and Their Application to Optimize Drying and Water Removal Processes and End-Use Applications

    SciTech Connect (OSTI)

    Shri Ramaswamy, University of Minnesota; B.V. Ramarao, State University of New York

    2004-08-29T23:59:59.000Z

    The three dimensional structure of paper materials plays a critical role in the paper manufacturing process especially via its impact on the transport properties for fluids. Dewatering of the wet web, pressing and drying will benefit from knowledge of the relationships between the web structure and its transport coefficients. The structure of the pore space within a paper sheet is imaged in serial sections using x-ray micro computed tomography. The three dimensional structure is reconstructed from these sections using digital image processing techniques. The structure is then analyzed by measuring traditional descriptors for the pore space such as specific surface area and porosity. A sequence of microtomographs was imaged at approximately 2 ?m intervals and the three-dimensional pore-fiber structure was reconstructed. The pore size distributions for both in-plane as well as transverse pores were measured. Significant differences in the in-plane (XY) and the transverse directions in pore characteristics are found and may help partly explain the different liquid and vapor transport properties in the in-plane and transverse directions. Results with varying sheet structures compare favorably with conventional mercury intrusion porosimetry data. Interestingly, the transverse pore structure appears to be more open with larger pore size distribution compared to the in plane pore structure. This may help explain the differences in liquid and vapor transport through the in plane and transverse structures during the paper manufacturing process and during end-use application. Comparison of Z-directional structural details of hand sheet and commercially made fine paper samples show a distinct difference in pore size distribution both in the in-plane and transverse direction. Method presented here may provide a useful tool to the papermaker to truly engineer the structure of paper and board tailored to specific end-use applications. The difference in surface structure between the top and bottom sides of the porous material, i.e. "two-sidedness" due to processing and raw material characteristics may lead to differences in end-use performance. The measurements of surface structure characteristics include thickness distribution, surface volume distribution, contact fraction distribution and surface pit distribution. This complements our earlier method to analyze the bulk structure and Z-D structure of porous materials. As one would expect, the surface structure characteristics will be critically dependent on the quality and resolution of the images. This presents a useful tool to characterize and engineer the surface structure of porous materials such as paper and board tailored to specific end-use applications. This will also help troubleshoot problems related to manufacturing and end-use applications. This study attempted to identify the optimal resolution through a comparison between 3D images obtained by monochromatic synchrotron radiation X-?CT in phase contrast mode (resolution ? 1 ?m) and polychromatic radiation X-?CT in absorption mode (res. ? 5 ?m). It was found that both resolutions have the ability to show the expected trends when comparing different paper samples. The low resolution technique shows fewer details resulting in lower specific surface area, larger pore channels, characterized as hydraulic radii, and lower tortuosities, where differences between samples and principal directions are more difficult to detect. The disadvantages of the high resolution images are high cost and limited availability of hard x-ray beam time as well as the small size of the sample volumes imaged. The results show that the low resolution images can be used for comparative studies, whereas the high resolution images may be better suited for fundamental research on the paper structure and its influence on paper properties, as one gets more accurate physical measurements. In addition, pore space diffusion model has been developed to simulate simultaneous diffusion in heterogeneous porous materials such as paper containing cellu

  12. Top Ten Interaction Challenges in Extreme-Scale Visual Analytics

    SciTech Connect (OSTI)

    Wong, Pak C.; Shen, Han-Wei; Chen, Chaomei

    2012-05-31T23:59:59.000Z

    The chapter presents ten selected user interfaces and interaction challenges in extreme-scale visual analytics. The study of visual analytics is often referred to as 'the science of analytical reasoning facilitated by interactive visual interfaces' in the literature. The discussion focuses on the issues of applying visual analytics technologies to extreme-scale scientific and non-scientific data ranging from petabyte to exabyte in sizes. The ten challenges are: in situ interactive analysis, user-driven data reduction, scalability and multi-level hierarchy, representation of evidence and uncertainty, heterogeneous data fusion, data summarization and triage for interactive query, analytics of temporally evolving features, the human bottleneck, design and engineering development, and the Renaissance of conventional wisdom. The discussion addresses concerns that arise from different areas of hardware, software, computation, algorithms, and human factors. The chapter also evaluates the likelihood of success in meeting these challenges in the near future.

  13. Ten-Year Site Plans (TYSP) | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City,EnrichedSupplemental Directives | National NuclearTen-Year Site

  14. TopTen Energy Efficient Products Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f <MaintainedInformationThePty LtdOpenHabitatandWind Farm JumpTopTen

  15. Ten Projects Awarded NERSC Allocations under DOE's ALCC Program

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails Howtemplates 36 inch highTen

  16. Keys to success: Ten case studies of effective weatherization programs

    SciTech Connect (OSTI)

    Brown, M.A.; Berry, L.G.; Kolb, J.O.; White, D.L. [Oak Ridge National Lab., TN (United States); Kinney, L.F.; Wilson, T. [Synertech Systems Corp., Syracuse, NY (United States)

    1993-11-01T23:59:59.000Z

    In 1990, DOE initiated a nationwide evaluation of its Weatherization Program, with assistance from Oak Ridge National Laboratory and an advisory group of 40 weatherization professionals, program managers, and researchers. The evaluation is comprised of three impact studies covering the Program`s major market segments: Single-family homes, mobile homes, and dwellings in small (2 to 4-unit) multifamily buildings (the Single-Family Study), Single-family homes heated primarily with fuel oil (the Fuel-Oil Study), and Dwellings in buildings with five or more units (the Multifamily Study). The Single-Family Study, the subject of this report, is a critical part of this coordinated evaluation effort. Its focus on single-family dwellings, mobile homes, and dwellings in small multifamily buildings covers 83% of the income-eligible population and 96% of the dwellings weatherized during Program Year 1989. The first phase of the Single-Family Study involved the analysis of a massive data base of information collected from 368 local weatherization agencies and 543 electric and gas utilities. This analysis resulted in energy-saving and cost-effectiveness estimates for the Weatherization Program and the identification of a set of ten high-performing agencies located throughout the country. The second phase, which is the subject of this report, involves a ``process`` evaluation of these ten high performers, aimed at identifying those weatherization practices that explain their documented success.

  17. Fact #775: April 15, 2013 Top Ten Urban Areas for Fuel Wasted...

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

    5: April 15, 2013 Top Ten Urban Areas for Fuel Wasted due to Traffic Congestion, 2011 Fact 775: April 15, 2013 Top Ten Urban Areas for Fuel Wasted due to Traffic Congestion, 2011...

  18. Fact #770: March 11, 2013 Changes to the Top Ten Vehicles Sold...

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

    0: March 11, 2013 Changes to the Top Ten Vehicles Sold over the Last Five Years Fact 770: March 11, 2013 Changes to the Top Ten Vehicles Sold over the Last Five Years When...

  19. Ten Ways to Lower Perceived Risk and Finance Rates within Utility...

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

    Ten Ways to Lower Perceived Risk and Finance Rates within Utility Contract Ten Ways to Lower Perceived Risk and Finance Rates within Utility Contract Federal agencies can use the...

  20. A critical comparison of ten disposable cup LCAs

    SciTech Connect (OSTI)

    Harst, Eugenie van der, E-mail: eugenie.vanderharst@wur.nl [Environmental Systems Analysis Group, Wageningen University, P.O. Box 47, NL-6700 AA Wageningen (Netherlands); Potting, José, E-mail: jose.potting@wur.nl [Environmental Systems Analysis Group, Wageningen University, P.O. Box 47, NL-6700 AA Wageningen (Netherlands) [Environmental Systems Analysis Group, Wageningen University, P.O. Box 47, NL-6700 AA Wageningen (Netherlands); Environmental Strategies Research (fms), KTH Royal Institute of Technology, SE-110 44 Stockholm (Sweden)

    2013-11-15T23:59:59.000Z

    Disposable cups can be made from conventional petro-plastics, bioplastics, or paperboard (coated with petro-plastics or bioplastics). This study compared ten life cycle assessment (LCA) studies of disposable cups with the aim to evaluate the robustness of their results. The selected studies have only one impact category in common, namely climate change with global warming potential (GWP) as its category indicator. Quantitative GWP results of the studies were closer examined. GWPs within and across each study show none of the cup materials to be consistently better than the others. Comparison of the absolute GWPs (after correction for the cup volume) also shows no consistent better or worse cup material. An evaluation of the methodological choices and the data sets used in the studies revealed their influence on the GWP. The differences in GWP can be attributed to a multitude of factors, i.e., cup material and weight, production processes, waste processes, allocation options, and data used. These factors basically represent different types of uncertainty. Sensitivity and scenario analyses provided only the influence of one factor at once. A systematic and simultaneous use of sensitivity and scenario analyses could, in a next research, result in more robust outcomes. -- Highlights: • Conflicting results from life cycle assessment (LCA) on disposable cups • GWP results of LCAs did not point to a best or worst cup material. • Differences in GWP results are due to methodological choices and data sets used. • Standardized LCA: transparency of LCA studies, but still different in approaches.

  1. Social media impact factor: the top ten dermatology journals on facebook and twitter

    E-Print Network [OSTI]

    Karimkhani, Chante; Gamble, Ryan; Dellavalle, Robert P

    2014-01-01T23:59:59.000Z

    top ten dermatology journals on facebook and twitter ChanteKey words: dermatology; Facebook; Twitter; social media;24 billion page views on Facebook daily making it the second

  2. FY 2015 Ten Year Site Plan-Limited Update Los Alamos National...

    National Nuclear Security Administration (NNSA)

    goals, the Laboratory will pursue a combination of additional investments in renewable energy, green construction practices, and operational improvements for energy FY 2015 Ten...

  3. Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for...

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

    Agency's (EPA's) top ten most fuel efficient vehicles list is comprised entirely of electric vehicles. Electric vehicles are highly efficient so it is not surprising to see...

  4. age ten-year retrospective: Topics by E-print Network

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

    Koch; Now Koch 148 Ten years after wildfires: How does varying tree mortality impact fire hazard and forest resiliency? Environmental Sciences and Ecology Websites Summary: 30...

  5. Ten Hundred and One word challenge | U.S. DOE Office of Science...

    Office of Science (SC) Website

    People's Choice Voting for the Ten Hundred and One Word Challenge Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights News & Events EFRC News...

  6. Land Reforms in Latin America: Ten Lessons toward a Contemporary Agenda1

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    1 Land Reforms in Latin America: Ten Lessons toward a Contemporary Agenda1 by Alain de Janvry years of land reforms in Latin America, we arrive at the following ten lessons that give guidelines for future programs of access to land. Lesson 1: Latin American land reforms have generally been "incomplete

  7. Regulations for Gas Transmission Lines Less than Ten Miles Long (New York)

    Broader source: Energy.gov [DOE]

    Any person who wishes to construct a gas transmission line that is less than ten miles long must file documents describing the construction plans and potential land use and environmental impacts of...

  8. Regulations for Electric Transmission and Fuel Gas Transmission Lines Ten or More Miles Long (New York)

    Broader source: Energy.gov [DOE]

    Any person who wishes to construct an electric or gas transmission line that is more than ten miles long must file documents describing the construction plans and potential land use and...

  9. The correct taxon name, authorship, and publication date of extant ten-armed coleoids

    E-Print Network [OSTI]

    Hoffmann, René

    2015-01-29T23:59:59.000Z

    January 29, 2015 Lawrence, Kansas, USA ISSN 1946-0279 (online) paleo.ku.edu/contributions Number 11 Paleontological Contributions The correct taxon name, authorship, and publication date of extant ten-armed coleoids René Hoffmann January 29..., 2015 Number 11 Copyright © 2015, The University of Kansas, Paleontological Institute Paleontological Contributions THE CORRECT TAXON NAME, AUTHORSHIP, AND PUBLICATION DATE OF EXTANT TEN-ARMED COLEOIDS René Hoffmann Department of Earth Sciences, Ruhr...

  10. Iowa Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0Decade Year-0 Year-1 Year-2

  11. Kansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0Decade Year-0Base7 3Increases20096NA

  12. Kentucky Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) Kenai, AKExtensionsNov-14 Dec-1424,371

  13. Louisiana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 0 0 1569 0 0 0Sales (Billion99Year

  14. Maine Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 07,755,432 7,466,375:Decade

  15. Maryland Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0 0.0 0.0 0.0 0.0 0.0Nov-14Year

  16. Massachusetts Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0 0.04,000

  17. Michigan Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0Feet)YearFeet)2009

  18. Minnesota Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3Exportspercontinues, with theMay6549,029

  19. Mississippi Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet)CommercialperSales (BillionDecade31,473

  20. Missouri Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet)Same 2011 2012 2013 View2009

  1. Montana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic32,876 10,889 11,5022009 2010 2011

  2. Tennessee Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet)4. U.S. VehicleNov-14 Dec-14Year Jan

  3. Texas Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubicSeparation 7,559Nov-14 Dec-14 Jan-15Year

  4. Alabama Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9 U B u o f l dIncreases4 1657,237

  5. Alaska Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9 U B uYear JanSales (Billion0 0 07,022

  6. End-Use Taxes: Current EIA Practices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity Use as an Indicator of U.S. Economic

  7. Arizona Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion CubicPotentialNov-14 Dec-14Decade Year-0 Year-1 Year-221,635

  8. Arkansas Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion CubicPotentialNov-14Sales (Billion Cubic Feet) Arkansas1

  9. California Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321 2,590 1,550Increases (Billion1 -5 2 7

  10. Colorado Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321Spain (Million CubicSales (Billion 044,086

  11. Connecticut Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321Spain,606,602andDecade Year-0207 164

  12. Delaware Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(MillionCubic200917

  13. Washington Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,397 125 Q 69 (Million Cubic58 810 0 0349,980Warehouse2009Year

  14. Wisconsin Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,397 125 Q 69 (Million Cubic58(MillionYear Jan 201151 -18 -29

  15. Wyoming Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,397 125 Q 69 (MillionAdjustments (Billion Cubic2009 2010

  16. Utah Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year Jan FebIncreases (Billion Cubic Feet) Utah

  17. Vermont Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year Jan FebIncreases (BillionThousand27,262

  18. Virginia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year Jan FebIncreasesCommercialFeet) New2009 201058YearNA

  19. Florida Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.Gas ProvedCommercialNov-14 Dec-1483,632 88,561

  20. Georgia Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYear JanPrice Data59.2Year Jan Feb Mar

  1. Hawaii Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOW TO OBTAIN EIACubicDecade227 251

  2. Idaho Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week2009 2010Year

  3. Illinois Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 TableTotal Consumption (Million381 -260 74 127

  4. Indiana Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 TableTotal Consumptionper Thousand Cubic4 15.873,318

  5. Nebraska Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803andYear Janthrough2,869,9601. Natural5,19580 1417,001

  6. Nevada Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803andYearWithdrawals (MillionYearNA 24,057 25,124 21,417 NA

  7. Biomass Resource Allocation among Competing End Uses

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced Materials Find Find More

  8. Office Buildings - End-Use Equipment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr May Jun Jul Aug SepDecade

  9. Ohio Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr May Jun Jul AugFeet)Foot)83,839

  10. Oklahoma Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr May Jun Jul9ThousandFeet)41

  11. Oregon Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr MayYear Jan Feb Mar Apr MayYear Jan Feb

  12. Pennsylvania Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr MayYear JanProduction 1980 198188,970

  13. Healthcare Energy End-Use Monitoring

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEN TO THEHudson Hazle

  14. IT PROJECT MANAGEMENT PROGRAM A ten-week program covering best practices in IT project management

    E-Print Network [OSTI]

    Schaefer, Marcus

    with managing and working with people such as team composition and leadership, conflict resolution and politics Management Program are expected to do a considerable amount of work outside of class. StudentsIT PROJECT MANAGEMENT PROGRAM A ten-week program covering best practices in IT project management

  15. Ten Challenges in Propositional Reasoning and Search Bart Selman, Henry Kautz, and David McAllester

    E-Print Network [OSTI]

    Kautz, Henry

    Ten Challenges in Propositional Reasoning and Search Bart Selman, Henry Kautz, and David Mc. This paper outlines concrete technical challenges in the core areas of system­ atic search, stochastic search of propositional deduction and satisfiability testing have come from re­ search communities in artificial

  16. Ten Years at the Calif. Energy Commission White Roofs to Cool your Building, your City and

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Ten Years at the Calif. Energy Commission & White Roofs to Cool your Building, your City and (this" 32" 37" 42" 50" CEC Max Screen Area (1400 in2 or ~57.4 diagonal inches) Energy Star 3.0 TVs (10 is new !) Cool the World Arthur H. Rosenfeld, Former Commissioner California Energy Commission

  17. Mary Whitton_SIGGRAPH09 1 Lessons Learned from Ten Years of Studies of Virtual Environments

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    Mary Whitton_SIGGRAPH09 1 Lessons Learned from Ten Years of Studies of Virtual Environments User lessons the Effective Virtual Environments (EVE) research team learned while doing a dozen or more studies and lessons learned by another, cross-disciplinary team in the Distributed nanoManipulator project

  18. Sir --As 27 April 2004 marks ten years of multiracial democracy in South Africa,

    E-Print Network [OSTI]

    Sir -- As 27 April 2004 marks ten years of multiracial democracy in South Africa, it is appropriate, engineering and technology. The strategy rightly notes that, given South Africa's correspondence NATURE|VOL428 of Research in South Africa (CAPRISA), University of KwaZulu-Natal, King George V Avenue, Durban 4041, South

  19. Picosecond spectroscopy of the isolated reaction centers from the photosystems of oxygenic photosynthesis--ten years

    E-Print Network [OSTI]

    Govindjee "Gov"

    of oxygenic photosynthesis--ten years (1987­1997) of fun A tribute to Michael R. Wasielewski on his 60th's pioneering work on Pho- tosystem II photochemistry has an important place in the history of photosynthesis states Á History of photosynthesis Early work with Mike Wasielewski was on photosystem I in 1987 Both

  20. It is ten years since... Daniel Bond and Derek R. Lovley's AEM paper `Electricity Production by

    E-Print Network [OSTI]

    Lovley, Derek

    2 It is ten years since... Daniel Bond and Derek R. Lovley's AEM paper `Electricity Production by Geobacter sulfurreducens Attached To Electrodes' was published in 2003. "Science is as much luck as anything to electricity at high columbic efficiencies and that this could be a sustainable process because

  1. .NET DEVELOPER PROGRAM A ten-week comprehensive program covering Microsoft .NET technologies

    E-Print Network [OSTI]

    Schaefer, Marcus

    .NET DEVELOPER PROGRAM A ten-week comprehensive program covering Microsoft® .NET technologies DePaul University's .NET Developer Program is designed to provide programmers with an intensive and comprehensive introduction to all essential aspects of the technologies, techniques and principles of Microsoft .NET

  2. The Persistence of Retro-commissioning Savings in Ten University Buildings 

    E-Print Network [OSTI]

    Toole, Cory

    2011-10-01T23:59:59.000Z

    A study was performed to evaluate how well energy savings persisted over time in ten university buildings that underwent retro-commissioning in 1996. Total annualized savings for all buildings in 1997 were 45(±2)% for chilled water, 67(±2)% for hot...

  3. Indexes of the Proceedings for the Ten International Symposia on Detonation 1951-93

    SciTech Connect (OSTI)

    Deal, William E.; Ramsay, John B.; Roach, Alita M.; Takala, Bruce E.

    1998-09-01T23:59:59.000Z

    The Proceedings of the ten Detonation Symposia have become the major archival source of information of international research in explosive phenomenology, theory, experimental techniques, numerical modeling, and high-rate reaction chemistry. In many cases, they contain the original reference or the only reference to major progress in the field. For some papers, the information is more complete than the complementary article appearing in a formal journal; yet for others, authors elected to publish only an abstract in the Proceedings. For the large majority of papers, the Symposia Proceedings provide the only published reference to a body of work. This report indexes the ten existing Proceedings of the Detonation Symposia by paper titles, topic phrases, authors, and first appearance of acronyms and code names.

  4. Club Convergence of House Prices: Evidence from China's Ten Key Cities

    E-Print Network [OSTI]

    Meng, Hao; Zhou, Wei-Xing

    2015-01-01T23:59:59.000Z

    The latest global financial tsunami and its follow-up global economic recession has uncovered the crucial impact of housing markets on financial and economic systems. The Chinese stock market experienced a markedly fall during the global financial tsunami and China's economy has also slowed down by about 2\\%-3\\% when measured in GDP. Nevertheless, the housing markets in diverse Chinese cities seemed to continue the almost nonstop mania for more than ten years. However, the structure and dynamics of the Chinese housing market are less studied. Here we perform an extensive study of the Chinese housing market by analyzing ten representative key cities based on both linear and nonlinear econophysical and econometric methods. We identify a common collective driving force which accounts for 96.5\\% of the house price growth, indicating very high systemic risk in the Chinese housing market. The ten key cities can be categorized into clubs and the house prices of the cities in the same club exhibit an evident converge...

  5. An analysis of processing methods and a comparison of operational efficiencies in ten Texas broiler processing plants

    E-Print Network [OSTI]

    Gardner, Frederick Albert

    1955-01-01T23:59:59.000Z

    OF CONTENTS INTHODUCTIONe ~ e ~ ~ ~ ~ ~ i ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ oe ~ 1 REVIEW OF LITEHATUHEo ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 2 METHOD OF PHOCEDUHE ~ ~ ~ ~ ~ ~ ~ i ~ ~ e ~ ~ ~ ~ e ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 5 RESULTS... TABLE 19 Number of Workers Used in the Ice Packing Operation in Ten Processing Plants ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 1 ~ ~ ~ ~ ~ ~ i ~ ~ ~ ~ ~ ~ ~ ~ 0 40 Broilers Packed per Man Hour in Ten Processing Plants - Ice Pack. . . i...

  6. Idaho National Laboratory 2013-2022 Ten-Year Site Plan

    SciTech Connect (OSTI)

    Calvin Ozaki; Sheryl L. Morton; Elizabeth A. Connell; William T. Buyers; Craig L. Jacobson; Charles T. Mullen; Christopher P. Ischay; Ernest L. Fossum; Robert D. Logan

    2011-06-01T23:59:59.000Z

    The Idaho National Laboratory (INL) Ten-Year Site Plan (TYSP) describes the strategy for accomplishing the long-term objective of transforming the laboratory to meet Department of Energy (DOE) national nuclear research and development (R&D) goals, as outlined in DOE strategic plans. The plan links R&D mission goals and INL core capabilities with infrastructure requirements (single- and multi-program), establishs the 10-year end-state vision for INL complexes, and identifies and prioritizes infrastructure needs and capability gaps. The TYSP serves as the basis for documenting and justifying infrastructure investments proposed as part of the FY 2013 budget formulation process.

  7. Fact #831: July 28, 2014 Top Ten States with Diesel Light Vehicles |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment ofDepartmentLast Ten Years |Energy 4:of

  8. Novel Insights into the Diversity of Catabolic Metabolism from Ten Haloarchaeal Genomes

    SciTech Connect (OSTI)

    Anderson, Iain; Scheuner, Carmen; Goker, Markus; Mavromatis, Kostas; Hooper, Sean D.; Porat, Iris; Klenk, Hans-Peter; Ivanova, Natalia; Kyrpides, Nikos

    2011-05-03T23:59:59.000Z

    The extremely halophilic archaea are present worldwide in saline environments and have important biotechnological applications. Ten complete genomes of haloarchaea are now available, providing an opportunity for comparative analysis. We report here the comparative analysis of five newly sequenced haloarchaeal genomes with five previously published ones. Whole genome trees based on protein sequences provide strong support for deep relationships between the ten organisms. Using a soft clustering approach, we identified 887 protein clusters present in all halophiles. Of these core clusters, 112 are not found in any other archaea and therefore constitute the haloarchaeal signature. Four of the halophiles were isolated from water, and four were isolated from soil or sediment. Although there are few habitat-specific clusters, the soil/sediment halophiles tend to have greater capacity for polysaccharide degradation, siderophore synthesis, and cell wall modification. Halorhabdus utahensis and Haloterrigena turkmenica encode over forty glycosyl hydrolases each, and may be capable of breaking down naturally occurring complex carbohydrates. H. utahensis is specialized for growth on carbohydrates and has few amino acid degradation pathways. It uses the non-oxidative pentose phosphate pathway instead of the oxidative pathway, giving it more flexibility in the metabolism of pentoses. These new genomes expand our understanding of haloarchaeal catabolic pathways, providing a basis for further experimental analysis, especially with regard to carbohydrate metabolism. Halophilic glycosyl hydrolases for use in biofuel production are more likely to be found in halophiles isolated from soil or sediment.

  9. Development of an ELISA microarray assay for the sensitive and simultaneous detection of ten biodefense toxins.

    SciTech Connect (OSTI)

    Jenko, Kathryn; Zhang, Yanfeng; Kostenko, Yulia; Fan, Yongfeng; Garcia-Rodriguez, Consuelo; Lou, Jianlong; Marks, James D.; Varnum, Susan M.

    2014-10-21T23:59:59.000Z

    Plant and microbial toxins are considered bioterrorism threat agents because of their extreme toxicity and/or ease of availability. Additionally, some of these toxins are increasingly responsible for accidental food poisonings. The current study utilized an ELISA-based protein antibody microarray for the multiplexed detection of ten biothreat toxins, botulinum neurotoxins (BoNT) A, B, C, D, E, F, ricin, shiga toxins 1 and 2 (Stx), and staphylococcus enterotoxin B (SEB), in buffer and complex biological matrices. The multiplexed assay displayed a sensitivity of 1.3 pg/mL (BoNT/A, BoNT/B, SEB, Stx-1 and Stx-2), 3.3 pg/mL (BoNT/C, BoNT/E, BoNT/F) and 8.2 pg/mL (BoNT/D, ricin). All assays demonstrated high accuracy (75-120 percent recovery) and reproducibility (most coefficients of variation < 20%). Quantification curves for the ten toxins were also evaluated in clinical samples (serum, plasma, nasal fluid, saliva, stool, and urine) and environmental samples (apple juice, milk and baby food) with overall minimal matrix effects. The multiplex assays were highly specific, with little crossreactivity observed between the selected toxin antibodies. The results demonstrate a multiplex microarray that improves current immunoassay sensitivity for biological warfare agents in buffer, clinical, and environmental samples.

  10. Idaho National Laboratory 2015-2023 Ten-Year Site Plan

    SciTech Connect (OSTI)

    Sheryl Morton; Elizabeth Connell; Bill Buyers; John Reisenauer; Rob Logan; Chris Ischay; Ernest Fossum; Paul Contreras; Joel Zarret; Steve Hill; Jon Tillo

    2013-09-01T23:59:59.000Z

    This Idaho National Laboratory (INL) Ten-Year Site Plan (TYSP) describes the strategy for accomplishing the long-term objective of sustaining the INL infrastructure to meet the Department of Energy Office of Nuclear Energy (DOE-NE) mission: to promote nuclear power as a resource capable of making major contributions in meeting the nation’s energy supply, environmental and energy security needs. This TYSP provides the strategy for INL to accomplish its mission by: (1) linking R&D mission goals to core capabilities and infrastructure requirements; (2) establishing a ten-year end-state vision for INL facility complexes; (3) identifying and prioritizing infrastructure needs and capability gaps; (4) establishing maintenance and repair strategies that allow for sustainment of mission-critical (MC) facilities; and (5) applying sustainability principles to each decision and action. The TYSP serves as the infrastructure-planning baseline for INL; and, though budget formulation documents are informed by the TYSP, it is not itself a budget document.

  11. A Ten-Year, $7 Million Energy Initiative Marching on: Texas A&M University Campus Energy Systems CC

    E-Print Network [OSTI]

    Deng, S.; Claridge, D. E.; Turner, W. D.; Bruner, H. L.; Williams, L.; Riley, J. G.

    2006-01-01T23:59:59.000Z

    The $35 million in measured savings for the ten-year, $7 million continuous commissioning (CC) program at the Texas A&M University (TAMU) makes the decision to continue easy. In today's energy environment and with the volatilities...

  12. Plant Energy Benchmarking: A Ten Year Retrospective of the ENERGY STAR Energy Performace Indicators (ES-EPI)

    E-Print Network [OSTI]

    Boyd, G.; Tunnessen, W.

    2013-01-01T23:59:59.000Z

    Over the past several years, there has been growing interest among policy makers and others in the role that benchmarking industrial energy efficiency can play in climate, air, and other potential regulatory actives. For over ten years, the US EPA...

  13. Cracked lifting lug welds on ten-ton UF{sub 6} cylinders

    SciTech Connect (OSTI)

    Dorning, R.E. [Martin Marietta Energy Systems, Inc., Piketon, OH (United States)

    1991-12-31T23:59:59.000Z

    Ten-ton, Type 48X, UF{sub 6} cylinders are used at the Portsmouth Gaseous Diffusion Plant to withdraw enriched uranium hexafluoride from the cascade, transfer enriched uranium hexafluoride to customer cylinders, and feed enriched product to the cascade. To accomplish these activities, the cylinders are lifted by cranes and straddle carriers which engage the cylinder lifting lugs. In August of 1988, weld cracks on two lifting lugs were discovered during preparation to lift a cylinder. The cylinder was rejected and tagged out, and an investigating committee formed to determine the cause of cracking and recommend remedial actions. Further investigation revealed the problem may be general to this class of cylinder in this use cycle. This paper discusses the actions taken at the Portsmouth site to deal with the cracked lifting lug weld problem. The actions include inspection activities, interim corrective actions, metallurgical evaluation of cracked welds, weld repairs, and current monitoring/inspection program.

  14. Supersymmetric Yang Mills Fields and Black Holes ; In Ten Dimensional Unified Field Theory

    E-Print Network [OSTI]

    Ajay Patwardhan

    2007-05-17T23:59:59.000Z

    The Ten dimensional Unified field theory has a 4 dimensional Riemannian spacetime and six dimensional Calabi Yau space structure. The supersymmetric Yang Mills fields and black holes are solutions in these theories. The formation of primordial black holes in early universe, the collapse to singularity of stellar black holes, the Hawking evaporation of microscopic black holes in LHC are topics of observational and theoretical interest. The observation of gamma ray bursts and creation of spectrum of particles and radiation of dark and normal matter occur due to primordial and microscopic black holes. The approach to singularity in black hole interior solutions, require the Bogoliubov transforms of SUSY YM fields in black hole geometries; both during formation and in evaporation. The Hawking effect of radiating black holes is applicable for all the fields. Invariants can be defined to give the conditions for these processes.

  15. Idaho National Laboratory Ten-Year Site Plan Project Description Document

    SciTech Connect (OSTI)

    Not Listed

    2012-03-01T23:59:59.000Z

    This document describes the currently active and proposed infrastructure projects listed in Appendix B of the Idaho National Laboratory 2013-2022 Ten Year Site Plan (DOE/ID-11449). It was produced in accordance with Contract Data Requirements List I.06. The projects delineated in this document support infrastructure needs at INL's Research and Education Campus, Materials and Fuels Complex, Advanced Test Reactor Complex and the greater site-wide area. The projects provide critical infrastructure needed to meet current and future INL opereational and research needs. Execution of these projects will restore, rebuild, and revitalize INL's physical infrastructure; enhance program execution, and make a significant contribution toward reducing complex-wide deferred maintenance.

  16. Ten case history studies of energy efficiency improvements in pulp and paper mills. Final report

    SciTech Connect (OSTI)

    Not Available

    1981-01-01T23:59:59.000Z

    The ten technologies chosen for case history development are: sonic sootblowing in boilers, boiler operation on oil-water emulsified fuel, energy efficient motors, computerized control of excess air for boilers, boiler control and load allocation, driving of waste-activated sludge by multiple effect evaporation, pre-drying of hog fuel, lime kiln computerization, heat wheel for process heat recovery, and organic Rankine bottoming cycle for thermomechanical pulping heat recovery. For each case study, there is given: the company name, employee contact, plant summary, a description of the energy consuming process and of the energy-saving action, an assessment of energy savings, and the decision process leading to the adoption of the measure. A data summary for discounted cash flow analysis is tabulated for each case. (LEW)

  17. A critical essay: Ten mile emergency planning zones, pro or con

    SciTech Connect (OSTI)

    MacDurmon, G.W.

    1987-12-01T23:59:59.000Z

    The NRC's current emergency planning regulations are based on source term data which has come into question. Indeed, many current models indicate that source terms can be calculated which are one or more orders of magnitude lower than those from WASH-1400. However, there remains a number of unresolved technical issues between the NRC and the Industry Downgraded Core Research Program (IDCOR) calculated source terms which presents a very large uncertainty for the determined values. In addition, there remains questions concerning the integrity of containment, and the emphasis which should be placed on operator intervention. These results have caused both the NRC and the APS to state that source terms cannot be lowered for all radionuclides and all nuclear power plants at this time. Data from NUREG-1150, along with the statements of other experts, do seem to demonstrate that evacuation, as a means of dose minimization, has been overemphasized under the current regulations. While an appropriate evacuation planning distance, specific to each plant, would vary according to a number of factors such as population density, available transportation, typical housing structures for shelter, type of plant containment, etc., current methods of emergency planning must also address these issues. In light of this and the dose estimates across the Emergency Planning Zone (EPZ), it would seem that detailed emergency plans out to ten miles which place an emphasis on evacuation are unnecessary from a health physics perspective, and bear heavy socioeconomic costs. 14 refs., 13 figs., 5 tabs.

  18. Maximally Symmetric Minimal Unification Model SO(32) with Three Families in Ten Dimensional Space-time

    E-Print Network [OSTI]

    Yue-Liang Wu

    2007-01-22T23:59:59.000Z

    Based on a maximally symmetric minimal unification hypothesis and a quantum charge-dimension correspondence principle, it is demonstrated that each family of quarks and leptons belongs to the Majorana-Weyl spinor representation of 14-dimensions that relate to quantum spin-isospin-color charges. Families of quarks and leptons attribute to a spinor structure of extra 6-dimensions that relate to quantum family charges. Of particular, it is shown that 10-dimensions relating to quantum spin-family charges form a motional 10-dimensional quantum space-time with a generalized Lorentz symmetry SO(1,9), and 10-dimensions relating to quantum isospin-color charges become a motionless 10-dimensional quantum intrinsic space. Its corresponding 32-component fermions in the spinor representation possess a maximal gauge symmetry SO(32). As a consequence, a maximally symmetric minimal unification model SO(32) containing three families in ten dimensional quantum space-time is naturally obtained by choosing a suitable Majorana-Weyl spinor structure into which quarks and leptons are directly embedded. Both resulting symmetry and dimensions coincide with the ones of type I string and heterotic string SO(32) in string theory.

  19. Ten New and Updated Multi-planet Systems, and a Survey of Exoplanetary Systems

    E-Print Network [OSTI]

    J. T. Wright; S. Upadhyay; G. W. Marcy; D. A. Fischer; Eric B. Ford; John Asher Johnson

    2009-03-02T23:59:59.000Z

    We present the latest velocities for 10 multi-planet systems, including a re-analysis of archival Keck and Lick data, resulting in improved velocities that supersede our previously published measurements. We derive updated orbital fits for ten Lick and Keck systems, including two systems (HD 11964, HD 183263) for which we provide confirmation of second planets only tentatively identified elsewhere, and two others (HD 187123, and HD 217107) for which we provide a major revision of the outer planet's orbit. We compile orbital elements from the literature to generate a catalog of the 28 published multiple-planet systems around stars within 200 pc. From this catalog we find several intriguing patterns emerging: - Including those systems with long-term radial velocity trends, at least 28% of known planetary systems appear to contain multiple planets. - Planets in multiple-planet systems have somewhat smaller eccentricities than single planets. - The distribution of orbital distances of planets in multi-planet systems and single planets are inconsistent: single-planet systems show a pile-up at P ~ 3 days and a jump near 1 AU, while multi-planet systems show a more uniform distribution in log-period. In addition, among all planetary systems we find: - There may be an emerging, positive correlation between stellar mass and giant-planet semi-major axis. - Exoplanets more massive than Jupiter have eccentricities broadly distributed across 0 < e < 0.5, while lower-mass exoplanets exhibit a distribution peaked near e = 0.

  20. Making a difference: Ten case studies of DSM/IRP interactive efforts and related advocacy group activities

    SciTech Connect (OSTI)

    English, M.; Schexnayder, S.; Altman, J. [Tennessee Univ., Knoxville, TN (United States). Energy, Environment and Resources Center; Schweitzer, M. [Oak Ridge National Lab., TN (United States)

    1994-03-01T23:59:59.000Z

    This report discusses the activities of organizations that seek to promote integrated resource planning and aggressive, cost-effective demand-side management by utilities. The activities of such groups -- here called energy efficiency advocacy groups (EEAGs) -- are examined in ten detailed am studies. Nine of the cases involve some form of interactive effort between investor-owned electric utilities and non-utility to develop policies, plans, or programs cooperatively. Many but not all of the interactive efforts examined are formal collaboratives. In addition, all ten cases include discussion of other EEAG activities, such as coalition-building, research, participation in statewide energy planning, and intervention in regulatory proceedings.

  1. Ten-year's change in blood pressure levels and prevalence of hypertension in urban and rural Cameroon

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    0 Ten-year's change in blood pressure levels and prevalence of hypertension in urban and rural;1 ABSTRACT Background: Hypertension is becoming increasingly important in sub-Saharan Africa. However the 10-year change in blood pressure levels and prevalence of hypertension in rural and urban Cameroon

  2. Career opportunities Dental hygiene is routinely listed as one of today's top-ten career fields, offering

    E-Print Network [OSTI]

    Career opportunities Dental hygiene is routinely listed as one of today's top-ten career fields for all other occupations. Dental hygiene at Wichita State Wichita State is the only school in the state of Kansas to offer bachelor's degrees in dental hygiene and provides two programs for students to choose

  3. Mathematics 122 -Gateway Exam -Fall 96 The Gateway exam will consist of ten randomly chosen problems about integra-

    E-Print Network [OSTI]

    Torres, Rodolfo

    Mathematics 122 - Gateway Exam - Fall 96 The Gateway exam will consist of ten randomly nine pro* *blems without any mistakes. You need not simplify your answers, but if you do, the si* *m- plification must be error-free. If you fail to pass the exam you will be allow* *ed to retake it. When you

  4. .NET WEB DEVELOPER PROGRAM A ten-week comprehensive program covering web development using Microsoft .NET technologies

    E-Print Network [OSTI]

    Schaefer, Marcus

    .NET WEB DEVELOPER PROGRAM A ten-week comprehensive program covering web development using Microsoft® .NET technologies DePaul University's .NET Web Developer Program is designed to provide, techniques and principles of Microsoft .NET. The program stresses an understanding of the relevant

  5. A Simultaneous Measurement of the Branching Fractions of Ten B to Double Charm Decays

    SciTech Connect (OSTI)

    Lae, Chung Khim

    2008-01-16T23:59:59.000Z

    This dissertation presents a simultaneous measurement of the branching fractions of ten B {yields} D{sup (*)}{bar D}{sup (*)} decays. The measurements are derived from a sample of 2.32 x 10{sup 8} B{bar B} pairs collected by the BABAR detector at the PEP-II B Factory located at Stanford Linear Accelerator Center. The branching fractions (x 10{sup -4}) are: -0.10 {+-} 0.44 {+-} 0.15 (<0.59) for B{sup 0} {yields} D{sup 0}{bar D}{sup 0}; 1.01 {+-} 1.07 {+-} 0.35 (<2.92) for B{sup 0} {yields} D*{sup 0}{bar D}{sup 0}; -1.31 {+-} 1.05 {+-} 0.41 (<0.92) for B{sup 0} {yields} D*{sup 0}{bar D}*{sup 0}; 2.81 {+-} 0.43 {+-} 0.45 for B{sup 0} {yields} D{sup +}D{sup -}; 5.72 {+-} 0.64 {+-} 0.71 for B{sup 0} {yields} D*{sup +}D{sup -}; 8.11 {+-} 0.57 {+-} 0.97 for B{sup 0} {yields} D*{sup +}D*{sup -}; 3.76 {+-} 0.57 {+-} 0.45 for B{sup -} {yields} D{sup -}D{sup 0}; 3.56 {+-} 0.52 {+-} 0.39 for B{sup -} {yields} D*{sup -}D{sup 0}; 6.30 {+-} 1.32 {+-} 0.93 for B{sup -} {yields} D{sup -}D*{sup 0}; and 8.14 {+-} 1.17 {+-} 1.11 for B{sup -} {yields} D*{sup -}D*{sup 0}. The first uncertainty is statistical while the second is systematic. The number in parentheses is the 90% upper limit using the Feldman-Cousins method with systematic uncertainties taken into account. These measurements are consistent with the Standard Model predictions using the factorization assumption.

  6. Offsite source recovery project - ten years of sealed source recovery and disposal

    SciTech Connect (OSTI)

    Whitworth, Julia Rose [Los Alamos National Laboratory; Pearson, Mike [Los Alamos National Laboratory; Witkowski, Ioana [Los Alamos National Laboratory; Wald - Hopkins, Mark [Los Alamos National Laboratory; Cuthbertson, A [NNSA

    2010-01-01T23:59:59.000Z

    The Global Threat Reduction Initiative's (GTRI) Offsite Source Recovery Project (OSRP) has been recovering excess and unwanted radioactive sealed sources for ten years. In January 2009, GTRI announced that the project had recovered 20,000 sealed radioactive sources (this number has since increased to more than 23,000). This project grew out of early efforts at Los Alamos National Laboratory (LANL) to recover and disposition excess Plutonium-239 (Pu-239) sealed sources that were distributed in the 1960s and 1970s under the Atoms for Peace Program. Decades later, these sources began to exceed their special form certifications or fall out of regular use. As OSRP has collected and stored sealed sources, initially using 'No Path Forward' waste exemptions for storage within the Department of Energy (DOE) complex, it has consistently worked to create disposal pathways for the material it has recovered. The project was initially restricted to recovering sealed sources that would meet the definition of Greater-than-Class-C (GTCC) low-level radioactive waste, assisting DOE in meeting its obligations under the Low-level Radioactive Waste Policy Act Amendments (PL 99-240) to provide disposal for this type of waste. After being transferred from DOE-Environmental Management (EM) to the U.S. National Nuclear Security Administration (NNSA) to be part of GTRI, OSRP's mission was expanded to include not only material that would be classified as GTCC when it became waste, but also any other materials that might constitute a 'national security consideration.' It was recognized at the time that the GTCC category was a waste designation having to do with environmental consequence, rather than the threat posed by deliberate or accidental misuse. The project faces barriers to recovery in many areas, but disposal continues to be one of the more difficult to overcome. This paper discusses OSRP's disposal efforts over its 10-year history. For sources meeting the DOE definition of 'transuranic,' OSRP has achieved many milestones, including defense determinations for various isotopes, a WIPP RCRA permit modification to accommodate headspace gas sampling requirements, and approval of a peer-reviewed non-assay radiological characterization methodology. For non-transuranic sources, which OSRP began to recover in 2004, OSRP has achieved NEP A coverage for storage and implemented consolidated storage at both DOE and commercial locations, as well as completing several specific disposal operations. The closure of the Barnwell low-level waste disposal site in 2008 has left 36 states with absolutely no commercial disposal pathway for most sealed sources, increasing the demands on OSRP. This and other current challenges and future work will also be discussed.

  7. A Ten Step Protocol and Plan for CCS Site Characterization, Based on an Analysis of the Rocky Mountain Region, USA

    SciTech Connect (OSTI)

    McPherson, Brian; Matthews, Vince

    2013-09-15T23:59:59.000Z

    This report expresses a Ten-Step Protocol for CO2 Storage Site Characterization, the final outcome of an extensive Site Characterization analysis of the Rocky Mountain region, USA. These ten steps include: (1) regional assessment and data gathering; (2) identification and analysis of appropriate local sites for characterization; (3) public engagement; (4) geologic and geophysical analysis of local site(s); (5) stratigraphic well drilling and coring; (6) core analysis and interpretation with other data; (7) database assembly and static model development; (8) storage capacity assessment; (9) simulation and uncertainty assessment; (10) risk assessment. While the results detailed here are primarily germane to the Rocky Mountain region, the intent of this protocol is to be portable or generally applicable for CO2 storage site characterization.

  8. State geothermal commercialization programs in ten Rocky Mountain states. Semi-annual progress report, July-December 1979

    SciTech Connect (OSTI)

    Griffith, J.L. (comp.)

    1980-08-01T23:59:59.000Z

    The activities and findings of the ten state teams participating in the Rocky Mountain Basin and Range Regional Hydrothermal Commercialization Program for the period are described. A summary of the state projects, compilation of project accomplishments, summary of findings, and a description of the major conclusions and recommendations are presented. Also included are chapters on the commercialization activities carried out by individual teams in each state: Arizona, Colorado, Idaho, Montana, Nevada, New-Mexico, North Dakota, South Dakota, Utah, and Wyoming. (MHR)

  9. Technical and economic evaluation of ten high temperature, high pressure particulate cleanup systems for pressurized fluidized bed combustion

    SciTech Connect (OSTI)

    Rubow, L.N.; Borden, M.; Buchanan, T.L.; Cramp, J.A.C.; Fischer, W.H.; Klett, M.G.; Maruvada, S.M.; Nelson, E.T.; Weinstein, R.E.; Zaharchuk, R.

    1984-07-01T23:59:59.000Z

    The objective of this analysis was to provide a technical and economic evaluation of the ten high temperature, high pressure (HTHP) systems for the purpose of prioritizing them according to performance, cost, and general viability of achieving commercial status. The scope primarily included reviewing/normalizing test experience to date, normalizing commercial designs, developing normalized capital and operating costs for each system, performing trade-off studies, and performing an evaluation utilizing in-house and outside inputs. The HTHP particulate cleanup system must be capable of the same stringent operating requirements as a conventional system, except it must do so at HTHP conditions. Utilities will demand nearly the same reliability as found in conventional equipment. Regarding particulate cleanup, the system must meet NSPS requirements at the stack, and also meet turbine inlet requirements. The ten devices evaluated were: Electrostatic Precipitator - Cottrell Environmental Sciences (CES); Ceramic Felt Filter - Acurex Corporation; Ceramic Cross Flow Filter - Westinghouse; Shallow Static Granular Bed Filter - Ducon/Westinghouse; Electrostatic Granular Bed Filter - General Electric (GE); Moving Granular Bed Filter - Combustion Power Company (CPC); Dry Plate Scrubber - Air Pollution Technology (APT); Magnetic Granular Bed Filter - Exxon; Electrocyclone - General Electric; and Acoustic Agglomerator - Aerojet/Pennsylvania State University (PSU). The test data for the ten devices were normalized to standard conditions with a reference inlet particle loading and size distribution. The purpose of system design normalization is to provide, for each of the HTHP concepts, a scaled-up commercial design which reflects a consistent design approach. 104 figures, 136 tables.

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    nuclear hydro Energy output Own Uses Transmission and distribution loses Electricity delivered Primary factor The Agriculture

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    rural, k=Kerosene m=rural, k=biogas m =urban, k=LPG m=urban,k=LPG k=wood k=kerosene k=biogas k=electricity k=electricity

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    Ministry of Chemical and Petrochemical (MoCP), 2005. “AnnualMinistry of Chemical and Petrochemical Ministry of Petroleumpotential. 3.3.2.6 Petrochemicals and Chemicals India ranks

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    Efficiency in Electricity Consumption", HWWA Discussionconsumption. Even electricity consumption, which isData Adjustment Electricity consumption from farmers is un-

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    Institute, “Curbing Global Energy Demand Growth: The Energyup Assessment of Energy Demand in India Transportationa profound effect on energy demand. Policy analysts wishing

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    11% oil, 6% coal, and traditional energy. A survey conductedand Renewable Energy Ministry of Coal Ministry of Commerce &in Figure 10, coal represents the largest energy product

  16. New Mexico Natural Gas Consumption by End Use

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

    41,194 241,137 246,418 243,961 245,678 1997-2013 Lease and Plant Fuel 1967-1998 Lease Fuel 49,655 49,070 47,556 47,696 47,018 1983-2013 Plant Fuel 36,827 35,289 38,331 37,195...

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    5% of its reserve is coking coal used by the steel industry.imports around 70% of coking coal annually. More recently,

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    U.S. DOE, 2006, “Buildings Energy Data Book 2006”, Septembersame period (US Buildings Energy Data Book). Over the next

  19. Refining and End Use Study of Coal Liquids.

    SciTech Connect (OSTI)

    NONE

    1997-12-31T23:59:59.000Z

    Progress in a study to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids is reported.

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    input Coal gas oil nuclear hydro Energy output Own Uses Transmission and distribution loses Electricity delivered Primary factor The Agriculture

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    Diesel, 18% Primary Electricity Diesel, 49% Electricty,51% Electricty Data Adjustment Electricity consumption from

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    Activity, 2005-06 8India's GDP, with 54% in 2005-06 (MOSPI, 2007b) and is alsoby Economic Activity, 2005-06 GDP Share AAGR (billion of GDP

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    patterns of energy consumption, trends in saturation and1 shows the trend in total primary energy consumption overvalue added – energy consumption. This trend can be observed

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    of 43% of total oil consumption. The residential sectorrepresenting 63% and oil consumption representing the rest.the diesel and fuel oil consumption are included, the total

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartmentDepartment ofConstruction|(EVSE)Each year,Energy

  6. Rhode Island Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousand CubicCubic Feet) Yeara

  7. South Carolina Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousand CubicCubicIndia (Million2,116 3,110IIF2009Decade20,213

  8. South Dakota Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousand CubicCubicIndiaFeet)6 0.6 0.7 0.6 0.6Decade7,530

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Zandofpoint motional%^ U N C L AKerosene by

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2,EHSSCoal ProductionLiquefied NaturalYear Jan

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

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

    T&D) technical and commercial losses are substantial,losses. T&D losses include technical loses and commercial

  12. Energy End-Use Intensities in Commercial Buildings

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity Use as an Indicator of U.S.U.S.U.S. Energy/2

  13. Energy End-Use Intensities in Commercial Buildings 1989

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity Use as an Indicator of U.S.U.S.U.S. Energy/29

  14. District of Columbia Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0CubicCubic Feet) Year

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOrigin

  16. Energy Information Administration - Table 2. End Uses of Fuel Consumption,

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand2003Offsite-ProducedExpenditures1998

  17. Distribution Infrastructure and End Use | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOEDepartment ofOff-Gas fromDistributedDistribution

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial and InstitutionalArea: U.S. East

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of Energy Completing theWhiz!NREL partnered with two

  20. West Virginia Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,397 125 Q 69 (Million Cubic58 810YearDecade Year-0 Year-1

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441. End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441. End2.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4. End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4. End1

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4.3 End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4.3

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4.31

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4.312

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4.3123

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number441.4.31234

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 FederalTexas Energyof 2005 atDepartment ofLLC

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New EnglandReservesCubic Feet)

  17. New Hampshire Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803andYearWithdrawalsYear Jan Feb Mar Apr8 0.8Decade4,662

  18. New Jersey Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803andYearWithdrawalsYear Jan1 0.2 0.1 0.1 0.22009Year

  19. New Mexico Natural Gas Consumption by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803andYearWithdrawalsYearFeet) NewNov-14 Dec-14

  20. Driving Biofuels End Use: BETO/VTO Collaborations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E TDrew Bittner About Us Drew Bittner -DriveDriving

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptemberAssessments |FossilThisDepartmentDepartment ofThe U.S.

  2. Average End Use Breakdown: Massachusetts General Hospital Gray Building

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureComments fromof Energy Automation WorldofAutotune

  3. New York Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthrough 1996) inThousand CubicFeet)perFeet) New2 1,033116,717

  4. North Carolina Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthrough 1996) inThousandWithdrawals (MillionNine8 2.415Decade

  5. North Dakota Natural Gas Consumption by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthrough 1996)McGuire"Feet) EstimatedProduction 4 12 73 95,581

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISOSource Heat PumpAllegations of

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisoryStandard |inHVACEnforcementEngaging Students in2

  8. An examination of the financial statements of twenty-five oil companies for a ten-year period

    E-Print Network [OSTI]

    Hatfield, W. C

    1952-01-01T23:59:59.000Z

    for so doing in the ten year period covered by this study. yor the pexiod 1941 1950?cost was the most frequently used method of inventoxy valuation for all inventories other tixan materials and supplies bv the companies selected. Cost or market... cost is involved in inventozy valuations the detezmination of cost presents a problemh Lznyswthods are availabiex bu't only four &Is used in the xeports exasdnedd A tabulation of the extent to which each oi' the four methods is used is presented...

  9. Ris Energy Report 4 Interaction between supply and end-use 4 8 Interaction between supply and end-use

    E-Print Network [OSTI]

    the introduction of more distributed generation and intermittent renewables. Using the Nordic power market for increasing flexibility on the demand side. Demand response on the Nordic Power Mar- ket Nord Pool, the Nordic), is open until two hours before delivery. In addition to these two markets, the Nordic transmission system

  10. Localization and Manipulation of Small Parts Using GelSight Tactile Rui Li, Robert Platt Jr., Wenzhen Yuan*, Andreas ten Pas*, Nathan Roscup*, Mandayam A. Srinivasan,

    E-Print Network [OSTI]

    Gabrieli, John

    Localization and Manipulation of Small Parts Using GelSight Tactile Sensing Rui Li, Robert Platt Jr Laboratory at MIT, and Mandayam A. Srinivasan is with MIT Touch Lab. Robert Platt Jr., Andreas ten Pas

  11. A review of 'Paradise Lost: A Poem Written in Ten Books': An Authoritative Text of the 1667 First Edition" edited by John T. Shawcross and Michael Lieb

    E-Print Network [OSTI]

    Sanchez, Reuben

    2009-01-01T23:59:59.000Z

    . ?Paradise Lost: A Poem Written in Ten Books?: An Authoritative Text of the 1667 First Edition. Pittsburgh, PA: Duquesne University Press, 2007. xvi + 456 pp. bibl. $68. Review by reuben sanchez, texas a&m university. Michael Lieb and John T. Shawcross..., eds. ?Paradise Lost: A Poem Written in Ten Books?: Essays on the 1667 First Edition. Pittsburgh, PA: Duquesne University Press, 2007. xii + 288 pp. index. append. $60. Review by reuben sanchez, texas a&m university. 40 seventeenth-century news...

  12. A review of 'Paradise Lost: A Poem Written in Ten Books': Essays on the 1667 First Edition" edited by John T. Shawcross and Michael Lieb

    E-Print Network [OSTI]

    Sanchez, Reuben

    2009-01-01T23:59:59.000Z

    . ?Paradise Lost: A Poem Written in Ten Books?: An Authoritative Text of the 1667 First Edition. Pittsburgh, PA: Duquesne University Press, 2007. xvi + 456 pp. bibl. $68. Review by reuben sanchez, texas a&m university. Michael Lieb and John T. Shawcross..., eds. ?Paradise Lost: A Poem Written in Ten Books?: Essays on the 1667 First Edition. Pittsburgh, PA: Duquesne University Press, 2007. xii + 288 pp. index. append. $60. Review by reuben sanchez, texas a&m university. 40 seventeenth-century news...

  13. Ten year RPV inspections experiences in a PWR in Spain: Improvements in the inner-radius inspection techniques

    SciTech Connect (OSTI)

    Gonzalez, E.; Willke, A. [Tecnatom, S.A., Madrid (Spain)

    1994-12-31T23:59:59.000Z

    The in-service inspection of an RPV, performed in accordance with the scope and requirements of Section 11 of the ASME Code at the end of the ten year interval, is one of the most complicated ISI activities carried out. Special resources and tools are required for successful performance of this type of inspection: (1) preparation and planning; (2) mechanical scanner; (3) data acquisition and analysis system; and (4) ultrasonic techniques. This paper describes the most relevant issues relating to RPV inspection, along with the experience obtained during the inspection of the RPV of a 930 MW Spanish PWR plant in 1992. Special attention is paid to the improvements achieved with respect to inspection of the inner-radius areas of the primary nozzles.

  14. Ten Priceless Images

    E-Print Network [OSTI]

    Sinha, Nirmal Chandra

    1984-01-01T23:59:59.000Z

    ") would sell easily for Rs. 2500/- in Cal­ cutta and we were not interested to cheat him. The Tibetan refugee said "I know that your scholar friends, Indian or American, may pay even Rs. 5000/-. But I want a proper custody for my house­ hold icon which... Handed figure on Lotus Seat would bear out. Vide Plate Six •. TARA Plate Seven depicts three icons of Tara (Dol­ rna), two in brass and one in sacred clay. The brass pieces are 3 inches and 4 inches high and the clay one 2 inches. The clay piece...

  15. Flexibility of short DNA helices with finite-length effect: from base pairs to tens of base pairs

    E-Print Network [OSTI]

    Wu, Yuan-Yan; Zhang, Xi; Tan, Zhi-Jie

    2015-01-01T23:59:59.000Z

    Flexibility of short DNA helices is important for the biological functions such as nucleosome formation and DNA-protein recognition. Recent experiments suggest that short DNAs of tens of base pairs (bps) may have apparently higher flexibility than those of kilo bps, while there is still the debate on such high flexibility. In the present work, we have studied the flexibility of short DNAs with finite-length of 5 to 50 bps by the all-atomistic molecular dynamics simulations and Monte Carlo simulations with the worm-like chain model. Our microscopic analyses reveal that short DNAs have apparently high flexibility which is attributed to the significantly strong bending and stretching flexibilities of ~6 bps at each helix end. Correspondingly, the apparent persistence length lp of short DNAs increases gradually from ~29nm to ~45nm as DNA length increases from 10 to 50 bps, in accordance with the available experimental data. Our further analyses show that the short DNAs with excluding ~6 bps at each helix end have...

  16. The Chips game -Dynamic programming activity This is a game between two players. It starts with two piles of chips, ten chips per pile. On each turn, a

    E-Print Network [OSTI]

    Zirbel, Craig L.

    with two piles of chips, ten chips per pile. On each turn, a player may take one chip from one pile, or two chips, one from each pile. If one pile is empty, you can only take one chip from the other pile chip from each pile, your opponent becomes the first player in the "9-9" game. If you take one chip

  17. First Annual Conference on Intelligence Analysis Methods and Tools, May 2005 PNNL-SA-44274 Top Ten Needs for Intelligence Analysis Tool Development

    E-Print Network [OSTI]

    First Annual Conference on Intelligence Analysis Methods and Tools, May 2005 PNNL-SA-44274 Top Ten Needs for Intelligence Analysis Tool Development Richard V. Badalamente and Frank L. Greitzer Battelle implications for intelligence analysis software tool develop- ment. 1. Introduction and Background Intelligence

  18. Historical perspective on Caribbean seismic hazard, ten Brink, Bakun, Flores Historical perspective on seismic hazard to Hispaniola and the northeast Caribbean

    E-Print Network [OSTI]

    ten Brink, Uri S.

    on seismic hazard to Hispaniola and the northeast Caribbean region Uri S. ten Brink1* , William H. Bakun2, magnitude, and distance from the reported damage to the epicenter for Hispaniola and for Puerto Rico and the Virgin Islands. The attenuation relationship for Hispaniola earthquakes and northern Lesser Antilles

  19. The winning ideas for the Fall 2013 Change the World Challenge cover a variety of innovative devices, processes, and technologies. The ten winning ideas include

    E-Print Network [OSTI]

    Salama, Khaled

    . Weepri A 3-D printing system with educational lessons that empowers young inventors and tinkerers devices, processes, and technologies. The ten winning ideas include: Logikits Logikits is an easy-to-learn of mental illness; a notification email would be sent to the parents. Deborah Lark '17, Nuclear

  20. SN 2010jl: Optical to hard X-ray observations reveal an explosion embedded in a ten solar mass cocoon

    SciTech Connect (OSTI)

    Ofek, Eran O.; Gal-Yam, Avishay; Arcavi, Iair [Benoziyo Center for Astrophysics, Weizmann Institute of Science, 76100 Rehovot (Israel); Zoglauer, Andreas; Boggs, Steven E.; Barriére, Nicolas M. [Space Sciences Laboratory, Department of Physics, University of California, 7 Gauss Way, Berkeley, CA 94720 (United States); Reynolds, Stephen P. [Department of Physics, North Carolina State University, Raleigh, NC 27695-8202 (United States); Fryer, Chris L.; Even, Wesley [CCS Division, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Harrison, Fiona A.; Kulkarni, Shrinivas R.; Bellm, Eric; Grefenstette, Brian [Cahill Center for Astronomy and Astrophysics, California Institute of Technology, Pasadena, CA 91125 (United States); Cenko, S. Bradley; Bloom, Joshua S.; Filippenko, Alexei V. [Department of Astronomy, University of California, Berkeley, CA 94720-3411 (United States); Christensen, Finn [DTU Space-National Space Institute, Technical University of Denmark, Elektrovej 327, DK-2800 Lyngby (Denmark); Craig, William W.; Hailey, Charles J. [Columbia Astrophysics Laboratory, 538 West 120th Street, New York, NY 10027 (United States); Laher, Russ [Spitzer Science Center, MS 314-6, California Institute of Technology, Pasadena, CA 91125 (United States); and others

    2014-01-20T23:59:59.000Z

    Some supernovae (SNe) may be powered by the interaction of the SN ejecta with a large amount of circumstellar matter (CSM). However, quantitative estimates of the CSM mass around such SNe are missing when the CSM material is optically thick. Specifically, current estimators are sensitive to uncertainties regarding the CSM density profile and the ejecta velocity. Here we outline a method to measure the mass of the optically thick CSM around such SNe. We present new visible-light and X-ray observations of SN 2010jl (PTF 10aaxf), including the first detection of an SN in the hard X-ray band using NuSTAR. The total radiated luminosity of SN 2010jl is extreme—at least 9 × 10{sup 50} erg. By modeling the visible-light data, we robustly show that the mass of the circumstellar material within ?10{sup 16} cm of the progenitor of SN 2010jl was in excess of 10 M {sub ?}. This mass was likely ejected tens of years prior to the SN explosion. Our modeling suggests that the shock velocity during shock breakout was ?6000 km s{sup –1}, decelerating to ?2600 km s{sup –1} about 2 yr after maximum light. Furthermore, our late-time NuSTAR and XMM spectra of the SN presumably provide the first direct measurement of SN shock velocity 2 yr after the SN maximum light—measured to be in the range of 2000-4500 km s{sup –1} if the ions and electrons are in equilibrium, and ? 2000 km s{sup –1} if they are not in equilibrium. This measurement is in agreement with the shock velocity predicted by our modeling of the visible-light data. Our observations also show that the average radial density distribution of the CSM roughly follows an r {sup –2} law. A possible explanation for the ? 10 M {sub ?} of CSM and the wind-like profile is that they are the result of multiple pulsational pair instability events prior to the SN explosion, separated from each other by years.

  1. Ten-year development of douglas-fir and associated vegetation after different site preparation on coast range clearcuts. Forest Service research paper

    SciTech Connect (OSTI)

    Stein, W.I.

    1995-02-01T23:59:59.000Z

    Ten-years results are presented from an operational-sized, replicated experiment in the Coast Ranges of Oregon to determine the effects of six site-preparation methods on the subsequent survival and growth of Douglas-fir and associated species. Site preparation and seedling protection with plastic mesh tubing significantly enhanced tree development. Site preparation also produced large differences in frequency and cover of associated species but only minor differences in the species represented.

  2. The Results of More Than 250 Industrial Assessments for Manufacturing by the Louisiana Industrial Assessment Center for the Past Ten Years

    E-Print Network [OSTI]

    Kozman, T.; Lee, J.

    2010-01-01T23:59:59.000Z

    The Results (Lessons Learned) of more than 250 E nergy Audits (Industrial Assessments) for Manufacturers by the Louisiana Industrial Assessment Center for the past Ten Years Theodore Kozman Jim Lee Director Deputy Director... Industrial Assessment Center University of Louisiana Lafayette Abstrac t This paper and discussion presents the summary and results of energy audits or assessments conducted by the University of Louisiana Lafayette Industrial Assessment Center...

  3. Idaho National Laboratory Ten-year Site Plan (2012 through 2021) -- DOE-NE's National Nuclear Capability -- Developing and Maintaining the INL Infrastructure

    SciTech Connect (OSTI)

    Cal Ozaki

    2010-06-01T23:59:59.000Z

    To meet long-term objectives to transform the Idaho National Laboratory (INL), we are providing an integrated, long-term vision of infrastructure requirements that support research, development and demonstration (RD&D) goals outlined in the DOE strategic plans, including the NE Roadmap and reports such as Facilities for the Future of Nuclear Energy Research: A Twenty-year Outlook. The goal of the INL Ten-year Site Plan (TYSP) is to clearly link RD&D mission goals and INL core capabilities with infrastructure requirements (single and multi-program), establish the 10-year end-state vision for INL complexes, identify and prioritize infrastructure and capability gaps, as well as the most efficient and economic approaches to closing those gaps.

  4. East Vacuum Grayburg San Andres Unit CO2 flood ten year performance review: Evolution of a reservoir management strategy and results of WAG optimization

    SciTech Connect (OSTI)

    Harpole, K.J.; Hallenbeck, L.D.

    1996-12-31T23:59:59.000Z

    The East Vacuum Grayburg San Andres Unit (EVGSAU) recently completed ten years of successful CO{sub 2} miscible WAG injection. This paper briefly reviews the original CO{sub 2} project design and field performance over the past ten years, and discusses the evolution of a CO{sub 2} reservoir management strategy from the original, fixed 2:1 WAG design to the current flexible, performance-driven WAG strategy. Variations in the magnitude and character of CO{sub 2} flood response across the Unit due to variability in local reservoir geology presented numerous reservoir management challenges. Problems were encountered in areas such as injection conformance, pattern balancing and sweep efficiency; managing large swings in gas production rates, and changes in injection gas composition and MMP due to construction of an NGL recovery facility. These challenges required a re-evaluation of our understanding of the reservoir and prompted a review of the original project design and operating philosophy by an interdisciplinary study team. Significant elements of this effort included surveillance and data collection on selected infill wells, extensive reservoir characterization work, and use of operations-oriented simulation modeling. This work resulted in the evolution of a more flexible reservoir management strategy for EVGSAU utilizing selective, geologically-targeted infill drilling, well conversions, pattern realignment, and a performance-driven WAG management strategy. Operating changes implemented over the past two years have produced significant improvements in profitability and performance in terms of both increased oil production and reduced gas handling problems and expenses.

  5. Managing asbestos: Ten costly sins

    SciTech Connect (OSTI)

    Denson, F.A.; Onderick, W.A.

    1993-01-01T23:59:59.000Z

    This article describes how to build an ongoing, continuous, and improved asbestos management program. Asbestos management is one of the toughest jobs facing a plant or environmental engineer today; even seasoned engineers can make mistakes. Much confusion exists about how best to manage this issue, especially in plant settings. Whether the company is small, medium, or large, asbestos has the power to steal from profits if not managed properly. To help POWER readers examine their current asbestos management programs, here are 10 common errors that could be stopped or avoided by practicing preventive techniques. The 10 costly sins presented are not mutually exclusive, and they certainly are not all-inclusive. They are offered as a way to stimulate ideas on how to build an ongoing, continuous, and improved asbestos management program. These include Sin 1: No written policy. Sin 2: Lack of corporate guidance. Sin 3: Not complying with regulations. Sin 4: Not worrying about other respirable fibers. Sin 5: Lawsuits--not culpable. Sin 6: No visible emissions, no problems. Sin 7: Managing asbestos manually.

  6. Desert Southwest Region Ten Year...

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

    carcinogenic characteristics, especially the penta and creosote, and the arsenic is a poison that has proven to cause adverse health effects. Many jurisdictions now consider...

  7. TEN-YEAR CAPITAL PROGRAM

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

    FY 2013 Customer booklet (PDF) Final 10-YCP FY 2012 Customer booklet (PDF) FY 2012 presentation Customer Comments on Second Parallel Mead Transformer Mead Transformer Letter...

  8. Ten Incredibly Dangerous Software Ideas

    E-Print Network [OSTI]

    G. A. Maney

    2006-07-07T23:59:59.000Z

    This is a rough draft synopsis of a book presently in preparation. This book provides a systematic critique of the software industry. This critique is accomplished using classical methods in practical design science.

  9. Top Ten Innovations of 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliances » Top Innovative Science of 2013

  10. Remarks on an attempted axiomatisation of Quantum Mechanics, due to Lucien Hardy, and Ten Theses on Hilbert's Sixth Problem and Quantum Measurement

    E-Print Network [OSTI]

    Joseph F. Johnson

    2006-06-15T23:59:59.000Z

    From the standpoint of Hilbert's Sixth Problem, which is the axiomatisation of Physics, the famous paper of Lucien Hardy's, Quantum Theory from Five Reasonable Axioms, is not relevant. The present paper argues that Hardy does not give a physical definition of `limit', and if we assume the usual mathematical definition of limit of a sequence, he fails to define a sequence in physical terms to which the usual definition is applicable. We argue that one should not, in fact, try to define probability in terms of the usual notion of limit of a sequence of results of a measurement because of seemingly insurmountable difficulties in axiomatising the notion of function or sequence in this context. Von Plato's and the authour's work (see http:arxiv.org/abs/quant-ph/0502124 and euclid.unh.edu/~jjohnson/axiomatics.html for larger context and further references) on the definition of physical probability needs to be used in this context. We conclude with ten theses on quantum measurement, from the standpoint of the Hilbert problem.

  11. Massively-parallel electron dynamics calculations in real-time and real-space: Toward applications to nanostructures of more than ten-nanometers in size

    SciTech Connect (OSTI)

    Noda, Masashi; Ishimura, Kazuya; Nobusada, Katsuyuki [Institute for Molecular Science, Myodaiji, Okazaki, Aichi 444-8585 (Japan); Yabana, Kazuhiro; Boku, Taisuke [Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577 (Japan)

    2014-05-15T23:59:59.000Z

    A highly efficient program of massively parallel calculations for electron dynamics has been developed in an effort to apply the method to optical response of nanostructures of more than ten-nanometers in size. The approach is based on time-dependent density functional theory calculations in real-time and real-space. The computational code is implemented by using simple algorithms with a finite-difference method in space derivative and Taylor expansion in time-propagation. Since the computational program is free from the algorithms of eigenvalue problems and fast-Fourier-transformation, which are usually implemented in conventional quantum chemistry or band structure calculations, it is highly suitable for massively parallel calculations. Benchmark calculations using the K computer at RIKEN demonstrate that the parallel efficiency of the program is very high on more than 60?000 CPU cores. The method is applied to optical response of arrays of C{sub 60} orderly nanostructures of more than 10 nm in size. The computed absorption spectrum is in good agreement with the experimental observation.

  12. Chips game with draws Dynamic programming activity This is a game between two players. It starts with two piles of chips, ten chips per pile. On each turn, a

    E-Print Network [OSTI]

    Zirbel, Craig L.

    with two piles of chips, ten chips per pile. On each turn, a player may take two chips from one pile, or one chip from each pile. The player who takes the last chip or chips wins the game. If you get down, with one chip in each pile at the beginning of the game. Does the first player always win? How? 4. Try

  13. Proceedings, 2005 International Oil Spill Conference. American Petroleum Institute, Washington, DC. pp. 541-545. Ten Years of Realtime, Near-Surface Current Observations Supporting Oil Spill Response1

    E-Print Network [OSTI]

    2000 barrels of Bunker C oil into the Gulf of Mexico off Texas' coast. Sea conditions dispersedProceedings, 2005 International Oil Spill Conference. American Petroleum Institute, Washington, DC. pp. 541-545. Ten Years of Realtime, Near-Surface Current Observations Supporting Oil Spill Response1

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    2004 Database of California Power Plants/' Located at:generation from California power plants. A-2a) Emissionthat includes all power plants in California that are one-

  15. 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.

    2014-02-01T23:59:59.000Z

    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.

  16. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    savings due to energy conservation. This report was done4.50 Foreign LBL 7896 ENERGY CONSERVATION: POLICY ISSUES ANDBarriere to Industrial Energy Conservation 2) The Process of

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    more S02 and NOx than natural gas combustion, the result isSteam turbine Diesel Natural Gas Combustion or gas turbineand gas turbine Natural gas Combustion or gas turbine Steam

  18. 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.

    2012-06-01T23:59:59.000Z

    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).

  19. End-use electrification in the residential sector : a general equilibrium analysis of technology advancements

    E-Print Network [OSTI]

    Madan, Tanvir Singh

    2012-01-01T23:59:59.000Z

    The residential sector in the U.S. is responsible for about 20% of the country's primary energy use (EIA, 2011). Studies estimate that efficiency improvements in this sector can reduce household energy consumption by over ...

  20. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    water consumption and solar water heaters with efficientsolar water heating systems with efficent electrical backup heaters

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    and NOx than natural gas combustion, the result is higherturbine Diesel Natural Gas Combustion or gas turbine Steamand gas turbine Nahual Gas Combustion or gas turbine Steam

  2. Table 3. Top Five Retailers of Electricity, with End Use Sectors...

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

    3,"Colorado River Comm of Nevada","Public",1886849,0,1102253,784596,0 4,"Shell Energy North America (US), L.P.","Investor-Owned",1020000,0,0,1020000,0 5,"Wells Rural...

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Because distillate oil combustion emits much more S02 andSan Mateo Distillate Oil Combustion Turbine Santa BarbaraTECHNOLOGY Distillate Oil Combustion Turbine COGEN COUNTY

  4. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    Recovery Direct Combustion Pyrolysis (Oil) Note: Col. 3 =Oil) Source Separation *Million BTU/ton MSW **Direct Combustionto Elec (Oil) Source Separation(2) *D.C. Direct Combustion

  5. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    consumption and solar water heaters with efficient backups;solar water heating systems with efficent electrical backup heaters

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Cogen Cogen Natural Gas Landfill Gas Tulare Tulare Woodwasteand wood waste, landfill gas, and mlmicipal solid waste andscf digester gas, or Btu/ scf landfill gas. HVs are given in

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Woodwaste Natural Gas Steam Turbine Cogen Sierra Tulare GasGas Turbine Combined Cycle Steam Turbine Cogen Not Cogen NotNot Cogen Cogen Cogen Kern Steam Turbine Steam Turbne Lassen

  8. INTERNATIONAL RESIDENTIAL ENERGY END USE DATA: ANALYSIS OF HISTORICAL AND PRESENT DAY STRUCTURE AND DYNAMICS

    E-Print Network [OSTI]

    Schipper, Lee

    2013-01-01T23:59:59.000Z

    heat includes all fuels except district heating. Only forSweden, and Germany had district heating. The Swedish/Germandistrict-heated share are given in parenthesis. For France the figures refers only to central heating.

  9. Letter Report on Testing of Distributed Energy Resource, Microgrid, and End-Use

    E-Print Network [OSTI]

    the same support to the grid. Figure 1 indicates that 1 MW of storage (provided by a battery or ramping as an Enabling Technology. Subtask 8.2: Use of Hydrogen for Energy Storage Under this subtask, HNEI evaluated the use of hydrogen as part of an integrated storage system with emphasis on the use of hydrogen

  10. Understanding Superconducting Magnetic Energy Storage (SMES) technology, applications, and economics, for end-use workshop

    SciTech Connect (OSTI)

    Ferraro, R.J. [Ferraro, Oliver, and Associates, Inc., Knoxville, TN (United States); McConnell, B.W. [Oak Ridge National Lab., TN (United States)

    1993-06-01T23:59:59.000Z

    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. Table 3. Top Five Retailers of Electricity, with End Use Sectors...

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

    of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Green Mountain Power Corp","Investor-Owned",2477751,835602,896610,745539,0 2,"Central...

  12. Refining and end use study of coal liquids. Quarterly report, January--March 1996

    SciTech Connect (OSTI)

    NONE

    1996-09-01T23:59:59.000Z

    Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M. W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the US Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. 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 integral 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. The major efforts conducted during the first quarter of 1996 were in the areas of: DL2 light distillate hydrotreating; and DL2 heave distillate catalytic cracking.

  13. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    of Waste Landfilled and Landfill Closure Dates For The Lostradeoffs between landfill and com- bined programs ofare the tradeoffs between landfill and com- bined resource

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Cogen Cogen Natural Gas Landfill Gas Tulare Tulare Woodwasteas agricultural and wood waste, landfill gas, and mlmicipalscf digester gas, or Btu/ scf landfill gas. HVs are given in

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    j designates the plant generating electricity from apowered electricity generating plants in a) urban and b)from electricity generating plants in California. Exposure

  16. Rare Earth Elements--End Use and Recyclability Scientific Investigations Report 20115094

    E-Print Network [OSTI]

    Pass, Calif., mine. The Mountain Pass mine is one of the two largest rare earth mines in the world........................................................................................................................................8 Neodymium-Iron-Boron Magnets..........................................................................................................................................13 Figures 1. Chart showing world mine production of rare earth oxides from 1990 through 2008 ....................................................................................

  17. Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations

    E-Print Network [OSTI]

    Konopacki, S.J.

    2010-01-01T23:59:59.000Z

    A C EUIs (cooling, ventilation, and gas heating). The annualCooling kWh/ft Ventilation kWh/ft Heating kBtu/ft CoolingMiscellaneous DOE-2 Ventilation kWh/ft Heating kBtu/ft EDA

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Tulare Gas Fueled Reciprocating Cogen Engine Gas TurbineGas Turbine Combined Cycle Steam Turbine Cogen Not Cogen NotGas Kern Natural Gas/Eor Gas Turbine Kern Ag. & Woodwaste

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Woodwaste Woodwaste Agricultural Waste Not Cogen Cogen Cogenfuels, such as agricultural and wood waste, landfill gas,

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Gas Sonoma Internal Combustion Engine Internal Combustionwhich report internal combustion (IC) engines as technologygas, internal combustion, or reciprocating engines. 3.9 i

  1. Residential Behavioral Savings: An Analysis of Principal Electricity End Uses in British Columbia

    E-Print Network [OSTI]

    Tiedemann, Kenneth Mr.

    2013-01-01T23:59:59.000Z

    HVAC systems and building shells. Demand side management programs have focused their attention on market

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Spi- Sonora Woodwaste Natural Gas Steam Turbine Cogen SierraCogen Not Cogen Cogen Natural Gas Landfill Gas Tulare TulareMidsun Partners Sekr Cogen Natural Gas Natural Gas o Cogen o

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Cogen Cogen Kern Steam Turbine Steam Turbne Lassen Lassen b)a g 0.70-0.80 j i gas turbine Steam turbine or boiler 0.15-engme h WTE o n III gas turbine steam htrbine or boile! Ie

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    either multiple cyclone, scrubber, ESP, or baghouse); Pc,either multiple cyclone, scrubber, ESP, or baghouses); PC,either multiple cyclone, scrubber, ESP, or baghouse) and PC,

  5. Assessment of U.S. Electric End-Use Energy Efficiency Potential

    SciTech Connect (OSTI)

    Gellings, Clark W.; Wikler, Greg; Ghosh, Debyani

    2006-11-15T23:59:59.000Z

    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)

  6. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    Works Department. General Electric Company Solid Wasteavailable in MSW (General Electric 1975: Determining thein MSW (%) Source: General Electric 1975, Lidstrum 1974,

  7. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    Comprehensive Studies of Solid Waste Disposal," Chapter6 ofSystems for Municipal Solid Waste A Technical/EconomicDerivatives from Municipal Solid Waste. In Energy from Solid

  8. Residential Behavioral Savings: An Analysis of Principal Electricity End Uses in British Columbia

    E-Print Network [OSTI]

    Tiedemann, Kenneth Mr.

    2013-01-01T23:59:59.000Z

    Fowlie. 2007. Demand-Side Management and Energy Efficiencyand building shells. Demand side management programs have

  9. INTERNATIONAL RESIDENTIAL ENERGY END USE DATA: ANALYSIS OF HISTORICAL AND PRESENT DAY STRUCTURE AND DYNAMICS

    E-Print Network [OSTI]

    Schipper, Lee

    2013-01-01T23:59:59.000Z

    J. , 1979. niske Hoejsko1e. Energi og Husholdninger. Lyngby:Ministry of Housing), 16) Energi NM (A Bi11 of Swedish

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    coal-powered electricity generating plants located in rural counties (primarily the Mohave coal power plant).power plant efficiencies assumed in the estimates. Because value ranges for efficiencies of coal- powered

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Arco Oxford Occidental Of Elk Hills Inc. Lost Hills BerryRiver Cogen Sycamore Cogen Elk Hills PRIMARY FUEL TECHNOLOGY

  12. An evaluation of the potential end uses of a Utah tar sand bitumen. [Tar sand distillate

    SciTech Connect (OSTI)

    Thomas, K.P.; Harnsberger, P.M.; Guffey, F.D.

    1986-09-01T23:59:59.000Z

    To date the commercial application of tar sand deposits in the United States has been limited to their use as paving materials for county roads, parking lots, and driveways because the material, as obtained from the quarries, does not meet federal highway specifications. The bitumen in these deposits has also been the subject of upgrading and refining studies to produce transportation fuels, but the results have not been encouraging from an economic standpoint. The conversion of tar sand bitumen to transportation fuels cannot compete with crude oil refining. The purposes of this study were two-fold. The first was to produce vacuum distillation residues and determine if their properties met ASTM asphalt specifications. The second was to determine if the distillates could serve as potential feedstocks for the production of aviation turbine fuels. The bitumen used for this study was the oil produced during an in situ steamflood project at the Northwest Asphalt Ridge (Utah) tar sand deposit. Two distillation residues were produced, one at +316/sup 0/C and one at +399/sup 0/C. However, only the lower boiling residue met ASTM specifications, in this case as an AC-30 asphalt. The original oil sample met specifications as an AC-5 asphalt. These residue samples showed some unique properties in the area of aging; however, these properties need to be investigated further to determine the implications. It was also suggested that the low aging indexes and high flow properties of the asphalts may be beneficial for pavements that require good low-temperature performance. Two distillate samples were produced, one at IBP-316/sup 0/C and one at IBP-399/sup 0/C. The chemical and physical properties of these samples were determined, and it was concluded that both samples appear to be potential feedstocks for the production of aviation turbine fuels. However, hydrogenation studies need to be conducted and the properties of the finished fuels determined to verify the prediction. 14 refs., 12 tabs.

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    from electricity generation from California power plants. A-electricity generation capacity comes from coal-fired power plants (

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    bed and bubbling bed FBe. b Average of all boiler typesbed and bubbling bed FBe. , Because diesel is a distillate

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Cogen Engine Gas Turbine Gas Turbine Combined Cycle SteamCycle Cogeneration Steam To Dow Gas Combustion Turbine GasTurbine Gas Turbine Cogen Contra Costa Mobile Gt Natural Gas

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    IECC: International Energy Conservation Code iFi: individualmeet the International Energy Conservation Code (IECC 2000)meet the International Energy Conservation Code (IECe) 2000

  17. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    RDSF), pyrolysis and incineration. Landfilling is one of theRDSF, pyrolysis and incineration--is more economically

  18. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    $(Thousands) b Process: Incineration RDSF Generation OilCosts $/ton(2) a Process: Incineration RDSF Generation Oilprocessing tech- niques. Incineration is clearly the most

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    plants relying on enhanced oil recovery (EOR), and NOx andAgency EOR: enhanced oil recovery EP A: US EnvironmentalGas Steam Turbine/Enhanced Oil Recovery Internal Combustion

  20. INTERNATIONAL RESIDENTIAL ENERGY END USE DATA: ANALYSIS OF HISTORICAL AND PRESENT DAY STRUCTURE AND DYNAMICS

    E-Print Network [OSTI]

    Schipper, Lee

    2013-01-01T23:59:59.000Z

    all fuels except district heating. Only for Germany andSweden, and Germany had district heating. The Swedish/German

  1. U.S. Adjusted Distillate Fuel Oil and Kerosene Sales by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Zandofpoint motional%^ U N C L A SDistillate

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Zandofpoint motional%^ U N C L A

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Zandofpoint motional%^ U N C L AKerosene

  4. U.S. Distillate Fuel Oil and Kerosene Sales by End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Zandofpoint motional%^602SWPA

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    Phase Ii Landfill Gas Sonoma Internal Combustion EngineInternal Combustion Engine Sonoma Landfill Gas Sonoma a)which report internal combustion (IC) engines as technology

  6. A functional analysis of electrical load curve modelling for some households specific electricity end-uses

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    % 2 of the GHG emissions. That is to say that some efforts in demand side management should have In France in 2008, the buildings (housing stock) are responsible for 27% 1 of the final energy demand and 16 points that allow to build-up a relevant load curve. This will lead us to step down at the appliance

  7. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01T23:59:59.000Z

    Efficiency** Process Process BTU/Ton of MSW Input* RDSF1 - Col. 2; Col. 4 = Col. 3/11.4 Million BTU/per ton of MSWfor RDSF and 9.1 Million BTU/ton for direct combustion and

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    ~Mwe: conversion factor from Btu to MWe-y ( 3.345 x 10- MWe-insulation R-values [fe-hr OF I Btu] for electricity heatedspecific fuel, expressed as Btu/lb coal, Btu/ gal oil, Btu/

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

    E-Print Network [OSTI]

    McKone, Thomas E.

    2011-01-01T23:59:59.000Z

    location, whether or not cogeneration technologies are used,in rural regions use cogeneration technologies and thisof coal- powered cogeneration plants are not provided by the

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGross

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGrossDistillate Fuel Oil by End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGrossDistillate Fuel Oil by

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGrossDistillateReserves+

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePriceExpectedOther

  15. ,"U.S. Total Sales of Residual Fuel Oil by End Use"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural Gas Plant StocksPetroleum ProductSales

  16. Energy End-Use Intensities in Commercial Buildings 1992 - Index Page

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity Use as an Indicator of U.S.U.S.U.S. Energy/292

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.54 End1

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.54 End12

  19. CBECS 1989 - Energy End-use Intensities in Commercial Buildings -- Detailed

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321 2,590 1,550 1,460 1977-2013164 167

  20. Energy Information Administration - Energy Efficiency, Table 6b-End Uses of

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand2003

  1. Energy Information Administration - Energy Efficiency-Table 6a- End uses of

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand2003Offsite-Produced Fuelof Energyfuel

  2. Energy Information Administration - Energy Efficiency-Table 6a- End uses of

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469DecadeOriginand2003Offsite-Produced Fuelof

  3. 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)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE LMI-EFRC Kick-Off Meeting10, Market1Closure2

  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)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE LMI-EFRC Kick-Off Meeting10, Market1Closure23

  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)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE LMI-EFRC Kick-Off Meeting10, Market1Closure234

  6. 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)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE LMI-EFRC Kick-Off Meeting10, Market1Closure2345

  7. U.S. Sales of Distillate Fuel Oil by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial and InstitutionalArea: U.S. East Coast502Propane,Area:

  8. U.S. Sales of Residual Fuel Oil by End Use

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial and InstitutionalArea: U.S. EastArea: U.S. East Coast

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of Energy Completing theWhiz!NRELEnergy See below

  10. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration2 U.S.and Winter Fuels8 11 1

  11. An Assessment of Interval Data and Their Potential Application to Residential Electricity End-Use Modeling

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7)An Assessment

  12. Distribution Category UC-98 Consumption End-Use A Comparison of Measures

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy :

  13. Service Report Energy Information Administration Office of Energy Markets and End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19. AverageForecastEnergy

  14. Service Report Enwgy Information Administration Office of Energy Markets and End Use

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19. AverageForecastEnergyEnwgy

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total Delivered Residentialtight oilU.S.

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total Delivered Residentialtight oilU.S.Arkansas"

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type of

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type ofArizona"

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","TypeColorado"

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"District of

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"District

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii" "megawatthours"

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"Illinois"

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"Illinois"Indiana"

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","Type of

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","Type

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","TypeLouisiana"

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland" "megawatthours"

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"Michigan"

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"Michigan"Minnesota"

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours" ,"Entity","Type

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total sales, top

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total sales,

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"TotalMexico"

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina" "megawatthours"

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina" "megawatthours"Dakota"

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma" "megawatthours"

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma"

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma"Pennsylvania"

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma"Pennsylvania"Rhode

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of provider","All

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of provider","AllTennessee"

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited States"

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited States"Utah"

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"Washington"

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"Washington"West

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming" "megawatthours"

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2". Summary5.9.

  8. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2012

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S. Coal Stocks at Manufacturing:: Total U.S..

  9. Table C4. Total End-Use Energy Consumption Estimates, 2012

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S. Coal Stocks at Manufacturing:: TotalC4. Total

  10. Table E2. Total End-Use Energy Price Estimates, 2012

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S. CoalInputsTotal Stocks4. Electric Power6.E2.

  11. "Table B25. Energy End Uses, Floorspace for Non-Mall Buildings, 2003"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" "Shell Storage1.2.5.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales to End Users, Total

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015 Table 8.4337

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015 Table 8.4337

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015 Table

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015 Table6 End

  17. Manufacturing Consumption of Energy 1994 - Derived measures of end-use

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUnderground Storage1 Energy Informationeialogo

  18. Ten questions and answers about superconductivity

    E-Print Network [OSTI]

    Tian De Cao

    2012-11-13T23:59:59.000Z

    This work answers the basic questions of superconductivity in a question-and-answer format. We extend a basic hypothesis to various superconductors. This hypothesis is that superconductivity requires that the pairing gap locates around the Fermi level. On the basis of this hypothesis our calculations give the so-called three factor theory with which some key problems of the high temperature superconductivity are explained.

  19. Ten Year Site Plans | Department of Energy

    Energy Savers [EERE]

    The TYSP is integral to and supports the Department's Planning, Programming, Budgeting, and Evaluation System (PPBES). The TYSP also describes site-specific actions the...

  20. AGirenPArTenAriAT despartenariats

    E-Print Network [OSTI]

    la gestion des écosystèmes majeurs de la région1 . Le séminaire Les intérieurs du Maroc a par'Institut national de recherche halieutique au Maroc,l'�colenationaled'ingénieursdeTunisoul'Institutnatio- nal

  1. An Evolving TEN YEAR ACADEMIC PLAN

    E-Print Network [OSTI]

    , ocean and atmospheric sciences. The Evolving Planet Paleoclimate Tectonics Global change Fluid Dynamics theory Time series Physical modelling Numerical modelling Natural Resources and Hazards Drugs from the sea Mineral deposits Hydrocarbons Groundwater Landslides Toxic blooms Fish Fig. 1. Research strengths

  2. Ten Critical Topics in Reproductive Medicine

    E-Print Network [OSTI]

    Napp, Nils

    of Preeclampsia S.AnanthKarumanchiandRaviThadhani 35 The Ovarian Factor: Cutting-Edge Basic Science Combined is a Risk Factor for Ectopic Pregnancy XiaofeiSunandSudhansuK.Dey 23 Single Embryo Transfer in IVF: LiveT.Scott,Jr.andNathanR.Treff 29 What Is a "Normal" Semen Analysis? DavidS.Guzick 32 Circulating Angiogenic Factors and the Risk

  3. Colleges Nine and Ten Residence Halls

    E-Print Network [OSTI]

    Dunbar, William

    Drive CoolidgeDrive EmpireGradeRoad HellerDrive Meyer Driv e ChinquapinRoad HagarDr. McLaughlinDr. RV Park Mc Arboretum The Chadwick Garden (CASFS) Sinsheimer-Stanley Festival Glen Buildings Road/parking area

  4. Solar Decathlon Turns Ten | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of Energy Ready,SmartEnergy Opening Ceremony andTurns

  5. Solar Decathlon Turns Ten | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary ofSmallConfidential,2 Solar BackgroundWake of

  6. Energy Conservation: Policy Issues and End-Use Scenarios of Savings Potential -- Part 4, Energy Efficient Recreational Travel

    E-Print Network [OSTI]

    Cornwall, B.

    2011-01-01T23:59:59.000Z

    Recreation Planning for Energy Conservation. Ecology, VolumeRecreation Planning for Energy Conservation. Inter- nationalMicrofiche, LBL 7896 ENERGY CONSERVATION: POLICY ISSUES AND

  7. China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01T23:59:59.000Z

    Development Plan for Renewable Energy in China. Availabledevelopment-plan-for-renewable-energy.pdf Tu, J. , Jaccard,further expansion of renewable and nuclear power capacity.

  8. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    US DOE. 1995a. Annual Energy Outlook 1995, with ProjectionsAdministration (ELA) 1995 Annual Energy Outlook (AEO); 1990of Energy's Annual Energy Outlook ( US DOE 1995a). A l l

  9. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    kBtuh Output (4) Non-linear regression curve based on theprice-size data and a non-linear regression for the price-provided for the non-linear regression because unlike linear

  10. Energy Implications of Minienvironment in Clean Spaces: A Case Study on Minienvironment Energy End-use and Performance

    E-Print Network [OSTI]

    Xu, Tengfang

    2005-01-01T23:59:59.000Z

    supported by the Assistant Secretary for Energy Efficiencyand Renewable Energy, Office of Building Technology, State,of the U.S. Department of Energy under Contract No. DE-AC02-

  11. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    of electric or gas water heater EFFIC Average householdfreezers, clothes dryers, water heaters, clothes washers,Freezers Refrigerators Water Heaters Dishwashers Clothes

  12. How many people actually see the price signal? Quantifying market failures in the end use of energy

    E-Print Network [OSTI]

    Meier, Alan; Eide, Anita

    2007-01-01T23:59:59.000Z

    landlords select the water heaters but their tenants mustin a high efficiency water heater. Another example is in thefamily home select the water heater and pay for the water

  13. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    E3c: Gas Boilers Installed Price by Size and Efficiency AFUEE3b: Gas Boiler Installed Price by Efficiency Figure E-3a:E.4c: Oil Boiler Installed Price by Size and Efficiency AFUE

  14. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    Description Prices for oil, gas, electricity, liquidElectric Electric Electric Gas Oil Electric ElectricElectric Gas Electric Gas Oil Electric Electric Gas Oil

  15. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    Dubin, Rivers Associates. EIA. 1989. Housing CharacteristicsU.S. Dept. of Energy, Washington, DC. DOE/EIA- 0314(87).May. EIA. 1990. Energy Consumption and Conservation

  16. How many people actually see the price signal? Quantifying market failures in the end use of energy

    E-Print Network [OSTI]

    Meier, Alan; Eide, Anita

    2007-01-01T23:59:59.000Z

    as the project manager. The IEA and the authors gratefullyand the United States. The IEA report is scheduled forpresents part of a larger IEA study that will be published

  17. RESIDENTIAL SECTOR END-USE FORECASTING WITH EPRI-REEPS 2.1: SUMMARY INPUT ASSUMPTIONS AND RESULTS

    E-Print Network [OSTI]

    of Energy. We use the Electric Power Research Institute's (EPRI's) REEPS model, as reconfigured to reflect was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Building ....................................................................................................1 2. OVERVIEW OF THE REEPS MODEL..............................................................1

  18. TECHNOLOGY DATA CHARACTERIZING LIGHTING IN COMMERCIAL BUILDINGS: APPLICATION TO END-USE FORECASTING WITH COMMEND 4.0

    E-Print Network [OSTI]

    LBL-34243 UC - 1600 TECHNOLOGY DATA CHARACTERIZING LIGHTING IN COMMERCIAL BUILDINGS: APPLICATION Technologies, and the Office of Environmental Analysis, Office of Policy, Planning, and Analysis of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098. #12;Technology Data Characterizing Lighting

  19. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    30% of electricity consumption, 70% of natural gas consumption and 90% of oil consumption in the U by the Electric Power Research Institute (McMenamin et al. 1992). This modeling framework treats space consumption in residences (EIA 1993). This report is primarily methodological in nature, taking the reader

  20. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    Type Equipment Market Shares Index Heating ElecFurnace GasType Equipment Market Shares Index Heating Elec Furnace Gas

  1. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    Manufactured Home Room Heating Market Shares". Lawrenceset based on the market share of heating equipment in newMarket for Energy Efficiency in Residential Appliances Including Heating and

  2. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    there are 10 primary heating technologies and two primaryThe combination of a heating technology, cooling technology,defined by a heating technology, cooling technology, and

  3. How many people actually see the price signal? Quantifying market failures in the end use of energy

    E-Print Network [OSTI]

    Meier, Alan; Eide, Anita

    2007-01-01T23:59:59.000Z

    family home select the water heater and pay for the waterlandlords select the water heaters but their tenants mustin a high efficiency water heater. Another example is in the

  4. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    of contractors in the HVAC market will certainly have anational version of the HVAC market share decision model,equipment 4.5. HVAC Equipment Market Shares We now define

  5. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    HVAC equipment as constrained by efficiency standards and marketand HVAC equipment as a result of the market; accounts foror HVAC system (by fuel type). New home market shares data

  6. China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01T23:59:59.000Z

    Implications for Chinese energy demand and imports in 2020.for China to reduce energy demand and emissions. Thisand physical drivers of energy demand and thereby help

  7. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    2010, while electricity demand is projected to grow at aboutrates. Electricity demand is projected to grow at about 0.7%

  8. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    residential home heating equipment, depending on product class and size. Figure E.6b: Electric Heat Pump

  9. Estimates of U.S. Commercial Building Electricity Intensity Trends: Issues Related to End-Use and Supply Surveys

    SciTech Connect (OSTI)

    Belzer, David B.

    2004-09-04T23:59:59.000Z

    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.

  10. 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)

    1996-08-01T23:59:59.000Z

    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.

  11. Energy Conservation: Policy Issues and End-Use Scenarios of Savings Potential -- Part 4, Energy Efficient Recreational Travel

    E-Print Network [OSTI]

    Cornwall, B.

    2011-01-01T23:59:59.000Z

    arrive by car (Booz, Allen & Hamilton 1974:27). SuchD.C. October. f of Booz, Allen & Hamilton Sensitivity of the

  12. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    equipment (EIA 1993), and a compilation of utility surveySurvey (RECS) conducted by the Energy Information Administration (EIAMay. EIA. 1993. 1990 Residential Energy Consumption Survey (

  13. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    assessing future trends in energy consumption at the end-usedetermine the basic trend of energy consumption and are used

  14. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    ~ unitary central air and heat pumps — and secondary ~ roomSystem MH SF MF Central Air Heat Pump No Central Air Source:MF SSF LSF North Central Air Heat Pump No Central Air South

  15. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    non-central residential home heating equipment (GAMA1992). (AFUE for residential home heating equipment, depending onManufactured Home Room Heating Market Shares". Lawrence

  16. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    Efficiency Choice 6.3 New Home HVAC System Choice 6.4. NewJuly. EPRI. 1990. REEPS 2.0 HVAC Model Logic, prepared by1990. Review of Equipment HVAC Choice Parameters. Cambridge

  17. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    $/household 10e3 Site Energy Prices Electricity ElectricityAverage electricity price Average household disposableAverage price of electricity Average household disposable

  18. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    A H A M . 1991. Room Air Conditioner Data. Association of7. FUTURE WORK 7.1 Room Air Conditioners 7.2. Common heatingShipments of Unitary Air Conditioners and Heat Pumps. Air-

  19. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    Central Air, Fuels = Oil and Gas, Other = LPG and Misc. (3)Central Air, Fuels = Oil and Gas, LPG and Misc. (3) Sources:Central Air, Fuels = Oil and Gas, Other = LPG and Misc. (3)

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.5

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.54 End

  2. 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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisoryStandard |inHVACEnforcementEngaging Students in20 * August 2004

  3. 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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1Albuquerque, NM -Alicia Moulton AboutDepartment of Energy1 *

  4. Level dynamics and the ten-fold way

    E-Print Network [OSTI]

    Alan T. Huckleberry; Marek Kus; Patrick Schuetzdeller

    2007-02-25T23:59:59.000Z

    We investigate the parameter dynamics of eigenvalues of Hamiltonians ('level dynamics') defined on symmetric spaces relevant for condensed matter and particle physics. In particular we: 1) identify appropriate reduced manifold on which the motion takes place, 2) identify the correct Poisson structure ensuring the Hamiltonian character of the reduced dynamics, 3) determine the canonical measure on the reduced space, 4) calculate the resulting eigenvalue density.

  5. And Top Ten Tips for Maintaining Immigration Fitness

    E-Print Network [OSTI]

    California at Davis, University of

    · "Specialty Occupation" or "Professional" · Employer/employee relationship · Labor Condition Application (LCA is the process for winding up employment? #12;Other Common NIV Options · E-3 for Australians · H-1B1

  6. Communication measures to bridge ten millennia. [Contains glossary

    SciTech Connect (OSTI)

    Sebeok, T.A.

    1984-04-01T23:59:59.000Z

    The Department of Energy created the Human Interference Task Force (HITF) in 1980 to investigate the problems connected with the postclosure, final marking of a filled nuclear waste repository. The task of the HITF is to devise a method of warning future generations not to mine or drill at that site unless they are aware of the consequences of their actions. Since the likelihood of human interference should be minimized for 10,000 years, an effective and long-lasting warning system must be designed. This report is a semiotic analysis of the problem, examining it in terms of the science or theory of messages and symbols. Because of the long period of time involved, the report recommends that a relay system of recoding messages be initiated; that the messages contain a mixture of iconic, indexical, and symbolic elements; and that a high degree of redundancy of messages be employed.

  7. ascending colon ten: Topics by E-print Network

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

    runs of sequences of geometrically distributed random variables: a probabilistic analysis and a polyomino-like description, we study some asymptotic properties of sequences of...

  8. Reprints of ten magazine articles on DEPARTMENT OF THE INTERIOR

    E-Print Network [OSTI]

    of Mexico 6 Fis h for pet foods in the Pacif ic Northwest 8 fro Fish for pet foods from the Ark ansas farml;CONTE TS Page The use of fish in pe t foods . . . . 1 Sources of l ake fish for pet foods 3 Potential product ion of "rough fish" in the Great Lakes are a . . . . . . . . . 4 Fish fo r pet foods in the Gulf

  9. Ten Simple Rules for Getting Help from Online Scientific Communities

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    'Olio1 *, Jacopo Marino2 , Michael Schubert3 , Kevin L. Keys1 , Melanie I. Stefan4 , Colin S. Gillespie5 , Pierre Poulain6,7,8 , Khader Shameer9,10 , Robert Sugar3 , Brandon M. Invergo1 , Lars J. Jensen11 , Jaume

  10. Penn Genome Frontiers Institute's Ten-Year Anniversary Symposium

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    :40 Genetics and epigenetics of human gene regulation Richard M. Myers, PhD President and Director, Hudson level analyses of cells and embryos Scott E. Fraser, PhD Anna L. Rosen Professor of Biology 4:20 ­ 5:00 The secret life of a single cell Jim Eberwine, PhD Elmer Holmes Bobst Professor

  11. MFR PAPER 1032 Tens of thousands of genera of insects

    E-Print Network [OSTI]

    \\\\ long each stage take,. but laborator) data from reari ng clo,e1) related fre,h\\\\ ater gerrids ( heng a rca on able perll1d for each lage Hence it \\\\ould require a pen'ld III Lanna ' heng i a rn~lI\\hl'r III

  12. 2012 -2013 Ten Facts about the Department of Geosciences

    E-Print Network [OSTI]

    Holliday, Vance T.

    of the linkage between climate history and human evolution. 3. Institute for Mineral Resources, a global center and mineral resource industries, teaching, research, engineering and environmental fields. 9. External funding instrument, an X-ray diffractometer, to characterize and identify the minerals on Mars as a main route

  13. May 3, 2010 Ten Facts about the Department of Geosciences

    E-Print Network [OSTI]

    Holliday, Vance T.

    . Institute for Mineral Resources, a global center based at the UA, bridges pure and applied research graduates pursue careers in energy and mineral resource industries. 9. External funding from all sources on responsible stewardship and development of mineral resources. 3. COSA (Convergent Orogenic Systems Analysis

  14. audit office tens: Topics by E-print Network

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

    11 NASA OFFICE OF INSPECTOR GENERAL OFFICE OF AUDITS Geosciences Websites Summary: -0001 October 9, 2014 TO: John Grunsfeld Associate Administrator for Science SUBJECT: The...

  15. Laser Fusion: The First Ten Years 1962-1972

    SciTech Connect (OSTI)

    Kidder, R E

    2006-07-06T23:59:59.000Z

    This account of the beginning of the program on laser fusion at Livermore in 1962, and its subsequent development during the decade ending in 1972, was originally prepared as a contribution to the January 1991 symposium 'Achievements in Physics' honoring Professor Keith Brueckner upon his retirement from the University of San Diego at La Jolla. It is a personal recollection of work at Livermore from my vantage point as its scientific leader, and of events elsewhere that I thought significant. This period was one of rapid growth in which the technology of high-power short-pulse lasers needed to drive the implosion of thermonuclear fuel to the temperature and density needed for ignition was developed, and in which the physics of the interaction of intense light with plasmas was explored both theoretically and experimentally.

  16. Development comparisons of ten peanut genotypes in Texas

    E-Print Network [OSTI]

    Mosciaro, Aristides Dante

    1983-01-01T23:59:59.000Z

    , an irrigated test that was planted on May 26th. The experimental design for each test was a randomized complete block with three replications. Seeds of the cultivars were planted with a precision planter in 6-row plots, 5. 0 m long with rows spaced 1, 0 m... 7. 0ab 7. Oab 5. Oa 8. 3b 6. 0ab s. oa 6. 0ab 7. 0ab 7. 0ab 1982 ~ld 7. 0 a 10. 0ab B. oab 8. 0ab 9. 0ab 9. 0ab 9. 0ab 8. 0ab lo, ob 9. 0ab 5. 3a 7. 2ab 6. 8ab 6. lab 7. 8b 7. 0ab 6. 7ab 6. 0ab 7. 7b 7. 3ab Test average 5...

  17. Ten Myths of ICT4D (And One Key Lesson)

    E-Print Network [OSTI]

    Anderson, Richard

    development and the modernization of farming? Where would the break-even point come? Where would the saving;Technology X will save the world. Wasn't true for X = radio, TV, or landline phone, despite initial ­ E.g., health insurance "Poverty premium" exists for a reason. Poor populations are... ­ Harder

  18. Ten Myths of ICT4D Kentaro Toyama

    E-Print Network [OSTI]

    Narasayya, Vivek

    end global poverty?" "The Internet should be a human right in and of itself." "Kids in the developing? Where would the break-even point come? Where would the saving in rate of change catch up: The Role of Information in the Developing Countries. Pp. 231 #12;Technology X will save the world. Wasn

  19. National service with ten presidents of the United States

    SciTech Connect (OSTI)

    Seaborg, G.T.

    1992-10-01T23:59:59.000Z

    This document is a biography of the renowned nuclear chemist, Glenn T. Seaborg. It covers his career over the presidential terms of Franklin Roosevelt through George Bush. It contains many personnel accounts of historic events. Photographs of Seaborg and the various Presidents are presented.

  20. Humanity's Top Ten Problems for next 50 years

    E-Print Network [OSTI]

    McCready, Mark J.

    & Tide -- not enough CHEMICAL · Natural Gas -- sequestration?, cost? · Clean Coal -- sequestration?, cost