Sample records for determine end-use product

  1. 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

  2. SUSTAINABLE DEVELOPMENT IN KAZAKHASTAN: USING OIL AND GAS PRODUCTION BY-PRODUCT SULFUR FOR COST-EFFECTIVE SECONDARY END-USE PRODUCTS.

    SciTech Connect (OSTI)

    KALB, P.D.; VAGIN, S.; BEALL, P.W.; LEVINTOV, B.L.

    2004-09-25T23:59:59.000Z

    The Republic of Kazakhstan is continuing to develop its extensive petroleum reserves in the Tengiz region of the northeastern part of the Caspian Sea. Large quantities of by-product sulfur are being produced as a result of the removal of hydrogen sulfide from the oil and gas produced in the region. Lack of local markets and economic considerations limit the traditional outlets for by-product sulfur and the buildup of excess sulfur is a becoming a potential economic and environmental liability. Thus, new applications for re-use of by-product sulfur that will benefit regional economies including construction, paving and waste treatment are being developed. One promising application involves the cleanup and treatment of mercury at a Kazakhstan chemical plant. During 19 years of operation at the Pavlodar Khimprom chlor-alkali production facility, over 900 tons of mercury was lost to the soil surrounding and beneath the buildings. The Institute of Metallurgy and Ore Benefication (Almaty) is leading a team to develop and demonstrate a vacuum-assisted thermal process to extract the mercury from the soil and concentrate it as pure, elemental mercury, which will then be treated using the Sulfur Polymer Stabilization/Solidification (SPSS) process. The use of locally produced sulfur will recycle a low-value industrial by-product to treat hazardous waste and render it safe for return to the environment, thereby helping to solve two problems at once. SPSS chemically stabilizes mercury to mercuric sulfide, which has a low vapor pressure and low solubility, and then physically encapsulates the material in a durable, monolithic solid sulfur polymer matrix. Thus, mercury is placed in a solid form very much like stable cinnabar, the form in which it is found in nature. Previous research and development has shown that the process can successfully encapsulate up to 33 wt% mercury in the solid form, while still meeting very strict regulatory standards for leachable mercury (0.025 mg/l in the Toxicity Characteristic Leaching Procedure). The research and development to deploy Kazakhstan recycled sulfur for secondary applications described in this paper is being conducted with support from the International Science and Technology Center (ISTC) and the U.S. Department of Energy Initiatives for Proliferation Prevention (DOE IPP).

  3. 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.

  4. 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.

  5. 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.

  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 of4

  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 of47

  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 of478

  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 of4787

  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 Uses of47878

  11. " 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

  12. " 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

  13. 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.

  14. 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

  15. 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

  16. ,"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...

  17. 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...

  18. 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

  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. 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. 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

  2. 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...

  3. Marx's Thesis that the Forces of Production Determine the Relations of Production

    E-Print Network [OSTI]

    Tollefson, Erik

    Marx's Thesis that the Forces of Production Determine the Relations of Production ERIK TOLLEFSON University of Kansas A perennial objection against historical materi­ alism is that that which is determined seems capable of becoming independent....e. the forces of production, the relations of production, and the superstructure), rather than the usual two (i.e. the economic base and its superstructure). Distinguishing the forces of pro­ duction from relations of production is advantageous...

  4. 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

  5. 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.

  6. 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

  7. 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

  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 Energy182 End Uses of Fuel

  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 Energy182 End Uses of

  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 Energy182 End Uses of4 End

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. Method of determining forest production from remotely sensed forest parameters

    DOE Patents [OSTI]

    Corey, J.C.; Mackey, H.E. Jr.

    1987-08-31T23:59:59.000Z

    A method of determining forest production entirely from remotely sensed data in which remotely sensed multispectral scanner (MSS) data on forest 5 composition is combined with remotely sensed radar imaging data on forest stand biophysical parameters to provide a measure of forest production. A high correlation has been found to exist between the remotely sensed radar imaging data and on site measurements of biophysical 10 parameters such as stand height, diameter at breast height, total tree height, mean area per tree, and timber stand volume.

  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

    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

  5. 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.

  6. 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.

  7. 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

  8. 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

  9. 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

  10. 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

  11. Determination of VOC emissions from French wood products Christophe YRIEIX *, Franois MAUPETIT **, Olivier RAMALHO **

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    wood manufacturers to determine IAQ performances of their products and to confront them with other quality (IAQ). Indeed, building products are significant sources of Volatile Organic Compounds (VOCs. This is particularly important for French wood manufacturers to determine IAQ performances of their products

  12. 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.

  13. 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

  14. Passive sampling methods to determine household and personal care product use

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    Passive sampling methods to determine household and personal care product use DEBORAH H. BENNETTa, cleaning products, passive sampling, SUPERB, longitudinal. Introduction Personal care and household care products, such as cleaning products and pesticides, are frequently used in most house- holds although

  15. 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.

  16. 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.

  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

    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

  18. 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

  19. Determining coal permeabilities through constant pressure production interference testing 

    E-Print Network [OSTI]

    Schubarth, Stephen Kurt

    1983-01-01T23:59:59.000Z

    Kurt Schubarth, B. S. , Texas A&M Un1versity Chairman of Advisory Committee: Dr. Stephen A. Holditch The determination of format1on propert1es 1s important to the success of any underground coal gasification (UCG) project. There are many ways... method of analysis for a mult1ple well test w1th a constant pressure source. The method is then verified by analyzing data generated from a numer1cal reservoir simulator. An analys1s of a hydrology test performed during the 1980 Texas ASM UCG project...

  20. Determining coal permeabilities through constant pressure production interference testing

    E-Print Network [OSTI]

    Schubarth, Stephen Kurt

    1983-01-01T23:59:59.000Z

    Kurt Schubarth, B. S. , Texas A&M Un1versity Chairman of Advisory Committee: Dr. Stephen A. Holditch The determination of format1on propert1es 1s important to the success of any underground coal gasification (UCG) project. There are many ways.... : "Hydrological Site Characterization for In-Situ Coal Gasification, " 6th Underground Coal Conversion Symposium, July 13-17, 1980. Schrider, L. A. and Jennings, J. W. : "An Underground Coal Gasification Experiment, Hanna, Wyoming, " 1974, SPE 4993. 3. van...

  1. 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.

  2. Permeability-thickness determination from transient production response at the southeast geysers

    SciTech Connect (OSTI)

    Faulder, D.D.

    1996-08-01T23:59:59.000Z

    The Fetkovich production decline curve analysis method was extended for application to vapor-dominated geothermal reservoirs for the purpose of estimating the permeability-thickness product (kh) from the transient production response. The analytic dimensionless terms for pressure, production rate, decline rate, and decline time were derived for saturated steam using the real gas potential and customary geothermal production units of pounds-mass per hour. The derived terms were numerically validating using ``Geysers-line`` reservoir properties at initial water saturation of 0 and at permeabilities of 1, 10, and 100 mD. The production data for 48 wells in the Southeast Geysers were analyzed and the permeability-thickness products determined from the transient production response using the Fetkovich production decline type curve. The kh results were in very good agreement with the published range at the Southeast Geysers and show regions of high permeability-thickness.

  3. Determination of total dietary fiber and resistant starch in processed corn and rice products

    E-Print Network [OSTI]

    Corujo Martinez, Juan Ignacio

    1991-01-01T23:59:59.000Z

    DETERMINATION OF TOTAL DIETARY FIBER AND RESISTANT STARCH IN PROCESSED CORN AND RICE PRODUCTS A Thesis by JUAN IGNACIO CORUJO MARTINEZ Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree 'of MASTER OF SCIENCE December 1991 Major Subject: Food Science and Technology DETERMINATION OF TOTAL DIETARY FIBER AND RESISTANT STARCH IN PROCESSED CORN AND RICE PRODUCTS A Thesis by JUAN IGNACIO CORUJO MARTINEZ Approved...

  4. 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.

  5. 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.

  6. 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.

  7. 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

  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

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

  9. 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).

  10. Spectrophotometric determination of vanadium in metallurgical products with carminic acid and cetyltrimethylammonium chloride

    SciTech Connect (OSTI)

    Babenko, N.L.; Blokh, M. Sh.; Guseva, T.D.

    1985-11-01T23:59:59.000Z

    According to the authors, there is an increasing demand for sensitive, selective, and rapid methods of determining low levels of vanadium in metallurgical products, and solvent-extraction methods do not meet the requirements. The authors used an anthraquinone dye carminic acid (CA) as a chromophoric organic reagent: 1, 3, 4, 6-tetrahydroxy-2-R-5carboxy-8-methylanthra-9, 10-quinone. The CSA was cetyltrimethylammonium chloride CTA. The three-component system was examined in order to devise a reasonably sensitive and rapid method of determining vanadium in metallurgical products. A study is made of the complexing in the system formed by vanadium (IV) with CA and the CSA. The optimum conditions for the formation of the complex have been established together with the spectrophotometric characteristics. A spectrophotometric method has been devised for determining from 0.05 to 5% of vanadium in metallurgical products with a relative standard deviation of not more than 0.04.

  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. 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.

  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. Experimental Determination of the Antineutrino Spectrum of the Fission Products of $^{238}$U

    E-Print Network [OSTI]

    N. Haag; A. Gütlein; M. Hofmann; L. Oberauer; W. Potzel; K. Schreckenbach; F. M. Wagner

    2013-12-19T23:59:59.000Z

    An experiment was performed at the scientific neutron source FRM II in Garching to determine the cumulative antineutrino spectrum of the fission products of $^{238}$U. This was achieved by irradiating target foils of natural uranium with a thermal and a fast neutron beam and recording the emitted $\\beta$-spectra with a gamma-suppressing electron-telescope. The obtained $\\beta$-spectrum of the fission products of $^{235}$U was normalized to the data of the magnetic spectrometer BILL of $^{235}$U. This method strongly reduces systematic errors in the $^{238}$U measurement. The $\\beta$-spectrum of $^{238}$U was converted into the corresponding antineutrino spectrum. The final $\\bar\

  8. 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.

  9. 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.

  10. 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.

  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. 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,

  13. 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

  14. 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.

  15. 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

  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. 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 ....................................................................................

  18. Determinants of export marketing strategies of forest products companies in the context of transition --The case of Slovakia

    E-Print Network [OSTI]

    Determinants of export marketing strategies of forest products companies in the context of export performance have been extensively examined in the literature. Although marketing strategy is considered to be one of the major determinants of export performance, little attention has been paid

  19. Determination

    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 Power AdministrationField Campaign: Potential Application to ARM MeasurementsDetermination of

  20. ,"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

  1. 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.

  2. 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.

  3. 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.

  4. A methodology for determining engineering costs and their effects on the development of product families

    E-Print Network [OSTI]

    Johnson, Michael DeShawn, 1977-

    2004-01-01T23:59:59.000Z

    The goal of most firms is to deliver products that satisfy customer needs. Delivering a variety of differentiated products allows firms to satisfy the broadest range of customers. There is, however, a fundamental tension ...

  5. Role of ex-vessel interactions in determining the severe reactor-accident source term for fission products. [PWR; BWR

    SciTech Connect (OSTI)

    Powers, D.A.; Brockmann, J.E.; Bradley, D.R.; Tarbell, W.W.

    1983-01-01T23:59:59.000Z

    The role fission-product release and aerosol generation outside the primary system can have in determining the severe reactor-accident source term is reviewed. Recent analytical and experimental studies of major causes of ex-vessel fission product release and aerosol generation are described. The ejection of molten-core debris from a pressurized-reactor vessel is shown to be a potentially large source of aerosols that has not been recognized in past severe-accident evaluations. A mechanistic model of fission-product release during core-debris interactions with concrete is discussed. Calculations with this model are compared to correlations of experimental data and previous estimates of ex-vessel fission-product release. Predictions with the mechanistic model agree quite well with the data correlations but do not agree at all well with estimates made in the past.

  6. Implementation of Reverse Logistics in the Determination and Formulation of Product End-of-Life Strategies

    E-Print Network [OSTI]

    Aristomenis, Antoniadis

    management that refers mainly to the actions of collecting, handling products or materials that are supposed-of-Life Strategies Katsamaki Anastasia Department of Production Engineering and Management Technical University Engineering and Management Technical University of Crete Chania, Crete 73100 GREECE bilalis

  7. Methods for the speciation and determination of arsenic and selenium in coal combustion products

    SciTech Connect (OSTI)

    Schabron, J.F.; Hart, B.K.; Niss, N.D.; Brown, T.H.

    1991-11-01T23:59:59.000Z

    Methods of sample preparation for the determination of total selenium, and selenite, selenate, arsenite, and arsenate in coal fly ash materials were evaluated. The measurement methods use atomic spectroscopy for the determination of total concentrations and ion chromatography (IC) for the determination of individual ionic species. Sample preparation procedures which minimize the loss or alteration of the species of interest was explored and defined. The utility of the sample preparation methods can be sample dependent, so caution is advised in their use. IC conditions were established for the determination in extract solutions of selenite, selenate, arsenite, and arsenate with minimal interference from common anions.

  8. Determination of the b-quark production cross section in p{anti p} collisions at 630 GeV

    SciTech Connect (OSTI)

    Abbott, B.

    1997-10-01T23:59:59.000Z

    We present a preliminary measurement of the b-quark production cross section in p{anti p} collisions at {radical}s = 630 GeV. The analysis is based on 340 nb{sup -1} of data collected with the D0 detector at the Fermilab Tevatron Collider. We determine the ratio of the b-quark production cross sections at 630 GeV to 1800 GeV and compare our results with the CDF and UA1 measurements, and with the next-to- leading order QCD predictions.

  9. 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.

  10. 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.

  11. 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.

  12. Latitudinal gradients in sea ice and primary production determine Arctic seabird colony

    E-Print Network [OSTI]

    Laidre, Kristin L.

    will indirectly alter energy transfer through the pelagic food web and ultimately impact apex predators. We-based observations of sea ice concentration from the Nimbus-7 scanning multichannel microwave radiometer (SMMR, 1979 recession of high Arctic seasonal ice cover created a temporally predictable primary production bloom

  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

    residential home heating equipment, depending on product class and size. Figure E.6b: Electric Heat Pump

  14. Determination of the total level of nitrosamines in select consumer products in Lagos area of Nigeria

    SciTech Connect (OSTI)

    Coker, H.A.B.; Thomas, A.E.; Akintonwa, A. (Univ. of Lagos (Nigeria))

    1991-11-01T23:59:59.000Z

    For some time there has been a considerable interest and growing concern in the extent of contamination of food items by N-nitrosamines because of the known carcinogenicity and mutagenicity of these compounds. Nitrosamines can be derived from the interaction of organic secondary and tertiary amines with nitrite, nitrate under reducing conditions, low pH values or nitrous gases. In Nigeria, the present harsh economic conditions have somewhat influenced the emergence of different kinds of socioeconomic attitude in Nigerians. There is now high incidence of adulteration of many consumer products. Faking of assorted consumables and pharmaceuticals, notably drugs, is a common feature, all in attempt to cut corners. It is a common practice amongst the local people to use certain chemicals as preservatives, colorants and flavorants without taking cognizance of the long-term health and toxicological hazards posed to the citizenry by these foreign agents. Recent work in the authors' laboratory had shown the presence of N-nitrosamines in some consumer products and it was therefore thought that a more thorough investigation and survey of as many foods and drinks as possible in the Lagos metropolis for contamination by nitrosamines might present a more revealing picture.

  15. Determining the Cause of a Header Failure in a Natural Gas Production Facility

    SciTech Connect (OSTI)

    Matthes, S.A.; Covino, B.S., Jr.; Bullard, S.J.; Ziomek-Moroz, M.; Holcomb, G.R.

    2007-03-01T23:59:59.000Z

    An investigation was made into the premature failure of a gas-header at the Rocky Mountain Oilfield Testing Center (RMOTC) natural gas production facility. A wide variety of possible failure mechanisms were considered: design of the header, deviation from normal pipe alloy composition, physical orientation of the header, gas composition and flow rate, type of corrosion, protectiveness of the interior oxide film, time of wetness, and erosion-corrosion. The failed header was examined using metallographic techniques, scanning electron microscopy, and microanalysis. A comparison of the failure site and an analogous site that had not failed, but exhibited similar metal thinning was also performed. From these studies it was concluded that failure resulted from erosion-corrosion, and that design elements of the header and orientation with respect to gas flow contributed to the mass loss at the failure point.

  16. 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.

  17. Hepatocytes Determine the Hypoxic Microenvironment and Radiosensitivity of Colorectal Cancer Cells Through Production of Nitric Oxide That Targets Mitochondrial Respiration

    SciTech Connect (OSTI)

    Jiang, Heng; Verovski, Valeri N.; Leonard, Wim; Law, Ka Lun; Vermeersch, Marieke; Storme, Guy; Van den Berge, Dirk; Gevaert, Thierry; Sermeus, Alexandra [Department of Radiotherapy, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels (Belgium)] [Department of Radiotherapy, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels (Belgium); De Ridder, Mark, E-mail: mark.deridder@uzbrussel.be [Department of Radiotherapy, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels (Belgium)

    2013-03-01T23:59:59.000Z

    Purpose: To determine whether host hepatocytes may reverse hypoxic radioresistance through nitric oxide (NO)-induced oxygen sparing, in a model relevant to colorectal cancer (CRC) liver metastases. Methods and Materials: Hepatocytes and a panel of CRC cells were incubated in a tissue-mimetic coculture system with diffusion-limited oxygenation, and oxygen levels were monitored by an oxygen-sensing fluorescence probe. To activate endogenous NO production, cocultures were exposed to a cytokine mixture, and the expression of inducible nitric oxide synthase was analyzed by reverse transcription–polymerase chain reaction, Western blotting, and NO/nitrite production. The mitochondrial targets of NO were examined by enzymatic activity. To assess hypoxic radioresponse, cocultures were irradiated and reseeded for colonies. Results: Resting hepatocytes consumed 10-40 times more oxygen than mouse CT26 and human DLD-1, HT29, HCT116, and SW480 CRC cells, and thus seemed to be the major effectors of hypoxic conditioning. As a result, hepatocytes caused uniform radioprotection of tumor cells at a 1:1 ratio. Conversely, NO-producing hepatocytes radiosensitized all CRC cell lines more than 1.5-fold, similar to the effect of selective mitochondrial inhibitors. The radiosensitizing effect was associated with a respiratory self-arrest of hepatocytes at the level of aconitase and complex II, which resulted in profound reoxygenation of tumor cells through oxygen sparing. Nitric oxide–producing hepatocytes were at least 10 times more active than NO-producing macrophages to reverse hypoxia-induced radioresistance. Conclusions: Hepatocytes were the major determinants of the hypoxic microenvironment and radioresponse of CRC cells in our model of metabolic hypoxia. We provide evidence that reoxygenation and radiosensitization of hypoxic CRC cells can be achieved through oxygen sparing induced by endogenous NO production in host hepatocytes.

  18. Determination of imidazoline and amido-amine type corrosion inhibitors in both crude oil and produced brine from oilfield production

    SciTech Connect (OSTI)

    Matherly, R.M.; Jiao, J. [Baker Performance Chemicals, Houston, TX (United States); Blumer, D.J. [ARCO Alaska Inc., Anchorage, AK (United States); Ryman, J.S. [Baker Performance Chemicals, Anchorage, AK (United States)

    1995-12-01T23:59:59.000Z

    The classical method for the determination of corrosion inhibitors in oilfield brines is the dye transfer method. Within this method are many variations which the analyst may use to determine the amount of corrosion inhibitor in either water or crude oil. These methods, however, suffer from many interferences which result in both false positive and negatives for corrosion inhibitor content. These methods essentially detect all amines as corrosion inhibitors. Improved high pressure liquid chromatography (HPLC) methods have been developed for the analysis of quaternary salt type corrosion inhibitors in brine waters, however, these methods do not appear to work in crude oil or for other forms of corrosion inhibitors such as the imidazolines, and amido-amines. This paper presents a method for the quantitative analysis of the imidazoline and amido-amine type corrosion inhibitors in both oilfield water and crude oil samples by HPLC. The corrosion inhibitor of interest is first separated from the matrix on a small column, then derivatized to form a product which is both sensitive and selective on a fluorescence detector. Detection limits for imidazolines are around 0.2 mg/L, amides and amines are similar. The advantage of this procedure is it can be used to determine the amount of corrosion inhibitor in both oil and brine water phases as well as on solid surfaces.

  19. Determining Fiber and Protein Degradation Rates of Corn Milling (Co)Products and Their Effects on Rumen Bacterial Populations and Lactating Dairy Cow Performance 

    E-Print Network [OSTI]

    Williams, Whitney

    2012-07-16T23:59:59.000Z

    to lactating dairy cows (n=44) to evaluate effects on milk production. The Cornell-Penn-Miner Institute (CPM) Dairy model was used to formulate diets and predict milk production. In vitro determined NDR and NDIP rates and were compared to CPM-dairy feed library...

  20. Direct Determination of Equilibrium Potentials for Hydrogen Oxidation/Production by Open Circuit Potential Measurements in Acetonitrile

    SciTech Connect (OSTI)

    Roberts, John A.; Bullock, R. Morris

    2013-03-14T23:59:59.000Z

    Open circuit potentials were measured for acetonitrile solutions of a variety of acids and their conjugate bases under 1 atm H2. Acids examined include triethylammonium, dimethylformamidium, 2,6-dichloroanilinium, 4-cyanoanilinium, 4-bromoanilinium, and 4-anisidinium salts. These potentials, together with the pKa values of the acids, establish the value of the standard hydrogen electrode (SHE) potential in acetonitrile as ?0.028(4) V vs the ferrocenium/ferrocene couple. Dimethylformamidium is shown to form homoconjugates and other aggregates with dimethylformamide; open circuit potentials are used to quantify the extent of these reactions. Overpotentials for electrocatalytic hydrogen production and oxidation were determined from open circuit potentials and voltammograms of acidic or basic catalyst solutions under H2. This method requires neither pKa values, homoconjugation constants, nor an estimate for the SHE potential and thus allows direct comparison of catalytic systems in different media.

  1. Production

    Broader source: Energy.gov [DOE]

    Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of...

  2. 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.

  3. Production

    Broader source: Energy.gov [DOE]

    Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of cultivation systems.

  4. Water Content Determination of Rubber Stoppers Utilized for Sealing Lyophilized Pharmaceutical Products: Assessment of Two Karl Fischer Titration Methods

    E-Print Network [OSTI]

    Voth, Laura Marie

    2013-08-31T23:59:59.000Z

    In the pharmaceutical industry, the success of a new drug product is strongly impacted by the stability of the drug formulation. For many formulations, stability is governed by the drug product's water content, thus the ...

  5. Formulae for the relative class number of an imaginary abelian eld in the form of a product of determinants

    E-Print Network [OSTI]

    Kuèera, Radan

    of determinants Radan Ku#20;cera 1 Abstract. There is in the literature a lot of deteminant formulae involv- ing

  6. 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

  7. Determining the effect of incentive programs on the occurrence of accidents, injuries, and productivity - final report. Open File Report 20 January 1984-31 December 1987

    SciTech Connect (OSTI)

    Goodman, P.S.

    1987-12-01T23:59:59.000Z

    This report examines the effectiveness of bonus plans in the coal industry. The analysis uses theoretical, literature review, and empirical approaches to determine the impact of bonus plans on safety and productivity in underground coal mines. The basic finding is that the modal bonus plan in underground coal mining does not have a major impact on productivity and safety indicators. The design of the plan, or organizational factors, and the process of introducing the plan all contribute to its relative ineffectiveness. Strategies and options for designing effective plans are presented.

  8. DOE Publishes Supplemental Proposed Determination for Miscellaneous...

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

    Proposed Determination for Miscellaneous Residential Refrigeration Products DOE Publishes Supplemental Proposed Determination for Miscellaneous Residential Refrigeration Products...

  9. WATER PRODUCTION IN COMETS 2001 Q4 (NEAT) AND 2002 T7 (LINEAR) DETERMINED FROM SOHO/SWAN OBSERVATIONS

    SciTech Connect (OSTI)

    Combi, M. R.; Lee, Y. [Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, 2455 Hayward Street, Ann Arbor, MI 48109-2143 (United States); Maekinen, J. T. T. [Finnish Meteorological Institute, Box 503, SF-00101 Helsinki (Finland); Bertaux, J.-L.; Quemerais, E. [Centre National de la Recherche Scientifique, Service d'Aeronomie, BP3, 91371 Verrieres le Buisson Cedex (France)], E-mail: mcombi@umich.edu

    2009-06-15T23:59:59.000Z

    The SWAN all-sky camera on the Solar and Heliospheric Observatory (SOHO) spacecraft detected the hydrogen Lyman-alpha (Ly{alpha}) comae of comets 2001 Q4 NEAT and 2002 T7 LINEAR for large portions of their perihelion apparitions in 2003 and 2004. C/2001 Q4 NEAT was observed from 2003 September 14 through 2004 November 2, covering heliocentric distances from 3.23 AU before perihelion to 2.75 AU after, and C/2002 T7 LINEAR was observed from 2003 December 4 through 2004 August 6, covering heliocentric distances from 2.52 AU before perihelion to 2.09 AU after. We combined the full set of comet specific and full-sky observations and used our time-resolved model (TRM), which enables us to extract continuous values of the daily-average value of the water production rate throughout most of this entire period. The average power-law fit to the production rate variation of C/2001 Q4 NEAT with heliocentric distance, r, gives 3.5 x 10{sup 29} r {sup -1.7} and that for C/2002 T7 LINEAR gives 4.6 x 10{sup 29} r {sup -2.0}. Both comets show roughly a factor of 2 asymmetry in activity about perihelion, being more active before perihelion. C/2001 Q4 NEAT showed a production rate outburst about 30 days before perihelion (2004 April 15) and then a large extended increase above the nominal trend from 50 to 70 days after perihelion (2004 July 5-July 25)

  10. Techniques and Methods Used to Determine the Aerosol Best Estimate Value-Added Product at SGP Central Facility

    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 Our InstagramStructureProposedPAGESafety Tag:8,, 20153 To.T. J. Determine the

  11. Determining Fiber and Protein Degradation Rates of Corn Milling (Co)Products and Their Effects on Rumen Bacterial Populations and Lactating Dairy Cow Performance

    E-Print Network [OSTI]

    Williams, Whitney

    2012-07-16T23:59:59.000Z

    as within a single ethanol plant (Belyea et al., 2004). As more information about the quality of corn (co)products becomes available, new strategies of (co)product feeding will be developed. Feedstuff processing methods have been shown to affect feed...

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. Continuous Production of Biodiesel Via an Intensified Reactive/Extractive Process

    SciTech Connect (OSTI)

    Tsouris, Costas [ORNL] [ORNL; McFarlane, Joanna [ORNL] [ORNL; Birdwell Jr, Joseph F [ORNL] [ORNL; Jennings, Hal L [ORNL] [ORNL

    2008-01-01T23:59:59.000Z

    Biodiesel is considered as a means to diversify our supply of transportation fuel, addressing the goal of reducing our dependence on oil. For a number of reasons ranging from production issues to end use, biodiesel represents only a small fraction of the transportation fuel used worldwide. This work addresses the aspect of biodiesel production that limits it to a slow batch process. Conventional production methods are batch in nature, based on the assumption that the rates of the key chemical reactions are slow. The hypothesis motivating this work is that the reaction kinetics for the transesterification of the reagent triglyceride is sufficiently fast, particularly in an excess of catalyst, and that interfacial mass transfer and phase separation control the process. If this is the case, an intensified two-phase reactor adapted from solvent extraction equipment may be utilized to greatly increase biodiesel production rates by increasing interphase transport and phase separation. To prove this idea, we are investigating two aspects: (1) determining the rate-limiting step in biodiesel production by evaluating the reaction kinetics, and (2) enhancing biodiesel production rates by using an intensified reactor. A centrifugal contactor combining interphase mass transfer, chemical reaction, and phase separation is employed for process intensification.

  16. CX-012114: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-012114: Categorical Exclusion Determination Test Procedures for Measuring Energy Efficiency of Consumer Products and Industrial Equipment...

  17. CX-003164: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  18. Standard test methods for determining chemical durability of nuclear, hazardous, and mixed waste glasses and multiphase glass ceramics: The product consistency test (PCT)

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    2002-01-01T23:59:59.000Z

    1.1 These product consistency test methods A and B evaluate the chemical durability of homogeneous glasses, phase separated glasses, devitrified glasses, glass ceramics, and/or multiphase glass ceramic waste forms hereafter collectively referred to as “glass waste forms” by measuring the concentrations of the chemical species released to a test solution. 1.1.1 Test Method A is a seven-day chemical durability test performed at 90 ± 2°C in a leachant of ASTM-Type I water. The test method is static and conducted in stainless steel vessels. Test Method A can specifically be used to evaluate whether the chemical durability and elemental release characteristics of nuclear, hazardous, and mixed glass waste forms have been consistently controlled during production. This test method is applicable to radioactive and simulated glass waste forms as defined above. 1.1.2 Test Method B is a durability test that allows testing at various test durations, test temperatures, mesh size, mass of sample, leachant volume, a...

  19. Synthesis of crystalline americium hydroxide, Am(OH){sub 3}, and determination of its enthalpy of formation; estimation of the solubility-product constants of actinide(III) hydroxides

    SciTech Connect (OSTI)

    Morss, L.R.; Williams, C.W.

    1993-12-31T23:59:59.000Z

    This paper reports a new synthesis of pure, microcrystalline Am(OH){sub 3}, its characterization by x-ray powder diffraction and infrared spectroscopy, and the calorimetric determination of its enthalpy of solution in dilute hydrochloric acid. From the enthalpy of solution the enthalpy of formation of Am(OH){sub 3} has been calculated to be {minus}1371.2{plus_minus}7.9 kj{center_dot}mol{sup {minus}1}, which represents the first experimental determination of an enthalpy of formation of any actinide hydroxide. The free energy of formation and solubility product constant of Am(OH){sub 3} (K{sub sp} = 7 {times} 10{sup {minus}31}) have been calculated from our enthalpy of formation and entropy estimates and are compared with literature measurements under near-equilibrium conditions. Since many properties of the tripositive lanthanide and actinide ions (e.g., hydrolysis, complex-ion formation, and thermochemistry) change in a regular manner, these properties can be interpreted systematically in terms of ionic size. This paper compares the thermochemistry of Am(OH){sub 3} with thermochemical studies of lanthanide hydroxides. A combined structural and acid-base model is used to explain the systematic differences in enthalpies of solution between the oxides and hydroxides of the 4f{sup n} and 5f{sup n} subgroups and to predict solubility-product constants for the actinide(III) hydroxides of Pu through Cf.

  20. Determination of the top-quark pole mass and strong coupling constant from the t t-bar production cross section in pp collisions at sqrt(s) = 7 TeV

    E-Print Network [OSTI]

    CMS Collaboration

    2014-08-20T23:59:59.000Z

    The inclusive cross section for top-quark pair production measured by the CMS experiment in proton-proton collisions at a center-of-mass energy of 7 TeV is compared to the QCD prediction at next-to-next-to-leading order with various parton distribution functions to determine the top-quark pole mass, mtpole, or the strong coupling constant, alphaS. With the parton distribution function set NNPDF2.3, a pole mass of 176.7 +3.0 -2.8 GeV is obtained when constraining alphaS at the scale of the Z boson mass, mZ, to the current world average. Alternatively, by constraining mtpole to the latest average from direct mass measurements, a value of alphaS(mZ) = 0.1151 +0.0028 -0.0027 is extracted. This is the first determination of alphaS using events from top-quark production.

  1. Gamma-ray spectrometric determination of UF/sub 6/ assay with 1 percent precision for international safeguards. Part 1: product and feed in 1S and 2S sample cylinders

    SciTech Connect (OSTI)

    Ricci, E.

    1981-06-15T23:59:59.000Z

    The method is based on counting the 186-keV gamma rays emitted by /sup 235/U using a Pb-collimated Ge(Li) detector. Measurements of fifty UF/sub 6/ product and feed cylinders reveal the following precisions and counting times: Product - 2S, 0.98% (600 s); Feed - 2S, 0.48% (2500 s); Product - 1S, 0.62% (1000 s); Feed - 1S, 0.73% (3000 s). A 1% precision is desired for variables - attributes verification measurements of /sup 235/U assay in UF/sub 6/ sample cylinders for safeguards inspections by the International Atomic Energy Agency (IAEA). Statistically, these measurements stand between fine, high-precision (or variables) measurements and gross, low-precision (or attributes) ones. Because of their intermediate precisions, the variables-attributes measurements may not require analysis of all samples, and this could result in significant savings of IAEA inspector time. Although the precision of the above results is satisfactory, the average relative differences between gamma-ray and mass-spectrometric determinations for the last two sets of measurements (1S cylinders) have positive biases.

  2. Techno Economic Analysis of Hydrogen Production by gasification of biomass

    SciTech Connect (OSTI)

    Francis Lau

    2002-12-01T23:59:59.000Z

    Biomass represents a large potential feedstock resource for environmentally clean processes that produce power or chemicals. It lends itself to both biological and thermal conversion processes and both options are currently being explored. Hydrogen can be produced in a variety of ways. The majority of the hydrogen produced in this country is produced through natural gas reforming and is used as chemical feedstock in refinery operations. In this report we will examine the production of hydrogen by gasification of biomass. Biomass is defined as organic matter that is available on a renewable basis through natural processes or as a by-product of processes that use renewable resources. The majority of biomass is used in combustion processes, in mills that use the renewable resources, to produce electricity for end-use product generation. This report will explore the use of hydrogen as a fuel derived from gasification of three candidate biomass feedstocks: bagasse, switchgrass, and a nutshell mix that consists of 40% almond nutshell, 40% almond prunings, and 20% walnut shell. In this report, an assessment of the technical and economic potential of producing hydrogen from biomass gasification is analyzed. The resource base was assessed to determine a process scale from feedstock costs and availability. Solids handling systems were researched. A GTI proprietary gasifier model was used in combination with a Hysys(reg. sign) design and simulation program to determine the amount of hydrogen that can be produced from each candidate biomass feed. Cost estimations were developed and government programs and incentives were analyzed. Finally, the barriers to the production and commercialization of hydrogen from biomass were determined. The end-use of the hydrogen produced from this system is small PEM fuel cells for automobiles. Pyrolysis of biomass was also considered. Pyrolysis is a reaction in which biomass or coal is partially vaporized by heating. Gasification is a more general term, and includes heating as well as the injection of other ''ingredients'' such as oxygen and water. Pyrolysis alone is a useful first step in creating vapors from coal or biomass that can then be processed in subsequent steps to make liquid fuels. Such products are not the objective of this project. Therefore pyrolysis was not included in the process design or in the economic analysis. High-pressure, fluidized bed gasification is best known to GTI through 30 years of experience. Entrained flow, in contrast to fluidized bed, is a gasification technology applied at much larger unit sizes than employed here. Coal gasification and residual oil gasifiers in refineries are the places where such designs have found application, at sizes on the order of 5 to 10 times larger than what has been determined for this study. Atmospheric pressure gasification is also not discussed. Atmospheric gasification has been the choice of all power system pilot plants built for biomass to date, except for the Varnamo plant in Sweden, which used the Ahlstrom (now Foster Wheeler) pressurized gasifier. However, for fuel production, the disadvantage of the large volumetric flows at low pressure leads to the pressurized gasifier being more economical.

  3. Measurement of the muon charge asymmetry in inclusive pp to WX production at sqrt(s) = 7 TeV and an improved determination of light parton distribution functions

    E-Print Network [OSTI]

    CMS Collaboration

    2014-08-22T23:59:59.000Z

    Measurements of the muon charge asymmetry in inclusive pp to WX production at sqrt(s) = 7 TeV are presented. The data sample corresponds to an integrated luminosity of 4.7 inverse femtobarns recorded with the CMS detector at the LHC. With a sample of more than twenty million W to mu nu events, the statistical precision is greatly improved in comparison to previous measurements. These new results provide additional constraints on the parton distribution functions of the proton in the range of the Bjorken scaling variable x from 10E-3 to 10E-1. These measurements and the recent CMS measurement of associated W + charm production are used together with the cross sections for inclusive deep inelastic ep scattering at HERA in a next-to-leading-order QCD analysis. The determination of the valence quark distributions is improved, and the strange-quark distribution is probed directly through the leading-order process g + s to W + c in proton-proton collisions at the LHC.

  4. Perlick: Noncompliance Determination (2013-SE-14002) | Department...

    Energy Savers [EERE]

    finding that refrigerator basic model HP48RR does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing....

  5. Whirlpool: Noncompliance Determination (2013-SE-1420) | Department...

    Office of Environmental Management (EM)

    finding that refrigerator-freezer basic model 8TAR81 does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing....

  6. Bigwall: Noncompliance Determination (2014-SE-15006) | Department...

    Office of Environmental Management (EM)

    ("Bigwall model PACH8000") of room air conditioners do not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing....

  7. CX-000734: Categorical Exclusion Determination | Department of...

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

    CX-000734: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Stillwater, Oklahoma Office(s):...

  8. CX-000733: Categorical Exclusion Determination | Department of...

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

    CX-000733: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Austin, Texas Office(s): Fossil...

  9. CX-011044: Categorical Exclusion Determination | Department of...

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

    CX-011044: Categorical Exclusion Determination High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: A9 Date: 0910...

  10. CX-011751: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination GreenLight Biosciences - Highly Productive Cell-free Bioconversion of Methane CX(s) Applied: B3.6 Date: 12122013 Location(s):...

  11. Effects of Mitigative Measures on Productivity of White Sturgeon Populations in the Columbia River Downstream from McNary Dam; Determine Status and Habitat Requirements of White Sturgeon Populations in the Columbia and Snake Rivers Upstream from McNary Dam, 1995-1996 Annual Report.

    SciTech Connect (OSTI)

    Rien, Thomas A.; Beiningen, Kirk T. (Oregon Department of Fish and Wildlife, Portland, OR)

    1997-07-01T23:59:59.000Z

    This project began in July 1986 and is a cooperative effort of federal, state, and tribal fisheries entities to determine (1) the status and habitat requirements, and (2) effects of mitigative measures on productivity of white sturgeon populations in the lower Colombia and Snake rivers.

  12. Developing energy-efficiency packages for new production homes

    SciTech Connect (OSTI)

    Brown, R.E.; Atkinson, C.S.; Warner, J.L.; Roberson, J.A.; Sanchez, M.C.; Bretz, S.E.; Koomey, J.G.

    1998-07-01T23:59:59.000Z

    The Environmental Protection Agency's ENERGY STAR{reg{underscore}sign} Homes program promotes the construction of new homes that consume at least 30% less energy than the 1993 Model Energy Code specifications for heating, cooling, and water heating end-uses, as determined using the draft National Home Energy Rating System (HERS) Guidelines. The authors developed packages of energy-efficiency measures to help production home builders in 14 US metropolitan areas meet the guidelines of this program. They evaluated the energy savings and costs of over 70 commercially available measures for the building shell and heating, cooling, and water heating equipment to optimize these packages for broad categories of new homes. The authors began by developing building prototypes for energy analysis, based on a survey of construction practices in the 14 cities. They also compiled the best published price data for the more than 70 energy-efficiency measures. They then applied the draft HERS guidelines using the DOE-2 building simulation model, to accurately estimate the energy savings for a wide variety of efficiency measures. To select cost-optimized packages of measures that meet the ENERGY STAR guidelines, they devised an automated economic model that used the building simulation results and measure cost data. This model ordered the measures by cost-effectiveness, accounting for measure interactions to avoid double-counting of energy savings. The resulting packages of measures were modified for certain locations to counting of energy savings. The resulting packages of measures were modified for certain locations to eliminate measures that builders are reluctant to adopt because of limited product availability, home buyer concerns, and other factors. The packages were also adjusted to ensure greater consistency within each city.

  13. European Conference on the Mathematics of Oil Recovery --Cannes, France, 30 August -2 September 2004 The determination of optimal well locations is a challenging problem in oil production since it

    E-Print Network [OSTI]

    Parashar, Manish

    production since it depends on geological and fluid properties as well as on economic parameters. This work Optimizing how and where wells are drilled in an oil reservoir is a problem with both high eco- nomic impact

  14. Measurement of the muon charge asymmetry in inclusive $pp \\rightarrow W + X$ production at $\\sqrt{s} = 7$ TeV at CMS and an improved determination of light parton distribution functions

    E-Print Network [OSTI]

    Ghosh, Saranya

    2015-01-01T23:59:59.000Z

    Measurements of the muon charge asymmetry in inclusive $pp \\rightarrow WX$ production at $\\sqrt{s}=7$ TeV are presented. The data sample corresponds to an integrated luminosity of 4.7 $\\mathrm{fb^{-1}}$ recorded with the CMS detector at the LHC. With a sample of more than twenty million $W \\rightarrow \\mu\

  15. Measurement of the muon charge asymmetry in inclusive $pp \\rightarrow W + X$ production at $\\sqrt{s} = 7$ TeV at CMS and an improved determination of light parton distribution functions

    E-Print Network [OSTI]

    Saranya Ghosh; for the CMS Collaboration

    2015-02-18T23:59:59.000Z

    Measurements of the muon charge asymmetry in inclusive $pp \\rightarrow WX$ production at $\\sqrt{s}=7$ TeV are presented. The data sample corresponds to an integrated luminosity of 4.7 $\\mathrm{fb^{-1}}$ recorded with the CMS detector at the LHC. With a sample of more than twenty million $W \\rightarrow \\mu\

  16. Determination of the top-quark pole mass and strong coupling constant from the t[bar over t] production cross section in pp collisions at ?s = 7 TeV

    E-Print Network [OSTI]

    Apyan, Aram

    The inclusive cross section for top-quark pair production measured by the CMS experiment in proton–proton collisions at a center-of-mass energy of 7 TeV is compared to the QCD prediction at next-to-next-to-leading order ...

  17. Determination of W boson helicity fractions in top quark decays in p anti-p collisions at CDF Run II and production of endcap modules for the ATLAS Silicon Tracker

    SciTech Connect (OSTI)

    Moed, Shulamit; /Geneva U.

    2007-01-01T23:59:59.000Z

    The thesis presented here includes two parts. The first part discusses the production of endcap modules for the ATLAS SemiConductor Tracker at the University of Geneva. The ATLAS experiment is one of the two multi-purpose experiments being built at the LHC at CERN. The University of Geneva invested extensive efforts to create an excellent and efficient module production site, in which 655 endcap outer modules were constructed. The complexity and extreme requirements for 10 years of LHC operation with a high resolution, high efficiency, low noise tracking system resulted in an extremely careful, time consuming production and quality assurance of every single module. At design luminosity about 1000 particles will pass through the tracking system each 25 ns. In addition to requiring fast tracking techniques, the high particle flux causes significant radiation damage. Therefore, modules have to be constructed within tight and accurate mechanical and electrical specification. A description of the ATLAS experiment and the ATLAS Semiconductor tracker is presented, followed by a detailed overview of the module production at the University of Geneva. My personal contribution to the endcap module production at the University of Geneva was taking part, together with other physicists, in selecting components to be assembled to a module, including hybrid reception tests, measuring the I-V curve of the sensors and the modules at different stages of the production, thermal cycling the modules and performing electrical readout tests as an initial quality assurance of the modules before they were shipped to CERN. An elaborated description of all of these activities is given in this thesis. At the beginning of the production period the author developed a statistics package which enabled us to monitor the rate and quality of the module production. This package was then used widely by the ATLAS SCT institutes that built endcap modules of any type, and kept being improved and updated. The production monitoring and summary using this package is shown in this thesis. The second part of the thesis reports a measurement of the fraction of longitudinal and right-handed helicity states of W bosons in top quark decays. This measurement was done using 955 pb{sup -1} of data collected with the CDF detector at the TEvatron, where protons and anti-protons are collided with a center-of-mass energy of 1.96 TeV. the helicity fraction measurements take advantage of the fact that the angular distribution of the W boson decay products depends on the helicity state of the W which they originate from. They analyze t{bar t} events in the 'lepton+jets' channel and look at the leptonic side of decay. They construct templates for the distribution of cos{theta}*, the angle between the charged lepton and the W flight direction in the rest frame of the top quark. Using Monte Carlo techniques, they construct probability distributions ('templates') for cos{theta}* in the case of left-handed, longitudinal and right-handed Ws and a template for the background model. They extract the W helicity fractions using an unbinned likelihood fitter based on the information of these templates. The Standard Model predicts the W helicity fractions to be about 70% longitudinal and 30% left-handed, while the fraction of right-handed W bosons in top decays is highly suppressed and vanishes when neglecting the mass of the b quark.

  18. CX-011042: Categorical Exclusion Determination | Department of...

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

    CX-011042: Categorical Exclusion Determination High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: B3.6 Date: 0910...

  19. Categorical Exclusion Determinations: National Energy Technology...

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

    Exclusion Determination Advancing Coal Catalytic Gasification to Promote Optimum Syngas Production CX(s) Applied: B3.6 Date: 41884 Location(s): Utah Offices(s): National...

  20. (Data in metric tons of lithium content unless otherwise noted) Domestic Production and Use: Chile was the leading lithium chemical producer in the world; Argentina, China, and

    E-Print Network [OSTI]

    States is extremely difficult because of the large number of compounds used in a wide variety of end uses are estimated as follows: ceramics and glass, 31%; batteries, 23%; lubricating greases, 9%; air treatment, 6 conditions improved for lithium-based products in 2010. Sales volumes for the major lithium producers were

  1. (Data in metric tons of lithium content unless otherwise noted) Domestic Production and Use: Chile was the leading lithium chemical producer in the world; Argentina, China,

    E-Print Network [OSTI]

    . Estimation of value for the lithium mineral compounds produced in the United States is extremely difficult lithium company identified its end-use markets as ceramics and glass, 21%; batteries, 19%; lubricating greases, 16%; pharmaceuticals and polymers, 9%; air conditioning, 8%; primary aluminum production, 6

  2. Transcriptional profiling and flux measurements of polyhydroxybutyrate production in Synechocystis

    E-Print Network [OSTI]

    Silva, Saliya Sudharshana, 1976-

    2004-01-01T23:59:59.000Z

    (cont.) to determine the CO? uptake rates and PHB production rates of strains engineered for enhanced CO? fixation and PHB production respectively.

  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

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

  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

    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

  5. 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

  6. 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-

  7. 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

  8. 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...

  9. 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,

  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

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

  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

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

  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

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

  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

    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

  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

    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

  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

    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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  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

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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  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. End

  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. End2.

  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 Number441.

  14. " 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

  15. " 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

  16. " 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.

  17. " 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

  18. " 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

  19. " 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

  20. " 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

  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 Number441.4.3123

  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 Number441.4.31234

  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

  4. 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

  5. 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

  6. 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)

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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.

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. Determining Optimal Equipment Capacities in Cooling, Heating and Power (CHP) Systems

    SciTech Connect (OSTI)

    DeVault, Robert C [ORNL; Hudson II, Carl Randy [ORNL

    2006-01-01T23:59:59.000Z

    Evaluation of potential cooling, heating and power (CHP) applications requires an assessment of the operations and economics of a particular system in meeting the electric and thermal demands of a specific end-use facility. A key determinate in whether a candidate system will be economic is the proper selection of equipment capacities. A methodology to determine the optimal capacities for CHP prime movers and absorption chillers using nonlinear optimization algorithms has been coded into a Microsoft Excel spreadsheet tool that performs the capacity optimization and operations simulation. This paper presents details on the use and results of this publicly available tool.

  18. 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

  19. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    ash to solve the concerns associated with its disposal. Wood ash consists of two different types ash and coal fly ash for use in concrete, was used to determine general suitability of wood ashCenter for By-Products Utilization WOOD ASH: A NEW SOURCE OF POZZOLANIC MATERIAL By Tarun R. Naik

  20. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    beneficial uses of wood ash to meet the challenges associated with its disposal. Wood ash consists of two C 618 [13] developed for volcanic ash and coal fly ash for use in concrete, was used to determineCenter for By-Products Utilization RECYCLING OF WOOD ASH IN CEMENT-BASED CONSTRUCTION MATERIALS

  1. Natural gas product and strategic analysis

    SciTech Connect (OSTI)

    Layne, A.W.; Duda, J.R.; Zammerilli, A.M.

    1993-12-31T23:59:59.000Z

    Product and strategic analysis at the Department of Energy (DOE)/Morgantown Energy Technology Center (METC) crosscuts all sectors of the natural gas industry. This includes the supply, transportation, and end-use sectors of the natural-gas market. Projects in the Natural Gas Resource and Extraction supply program have been integrated into a new product focus. Product development facilitates commercialization and technology transfer through DOE/industry cost-shared research, development, and demonstration (RD&D). Four products under the Resource and Extraction program include Resource and Reserves; Low Permeability Formations; Drilling, Completion, and Stimulation: and Natural Gas Upgrading. Engineering process analyses have been performed for the Slant Hole Completion Test project. These analyses focused on evaluation of horizontal-well recovery potential and applications of slant-hole technology. Figures 2 and 3 depict slant-well in situ stress conditions and hydraulic fracture configurations. Figure 4 presents Paludal Formation coal-gas production curves used to optimize the hydraulic fracture design for the slant well. Economic analyses have utilized data generated from vertical test wells to evaluate the profitability of horizontal technology for low-permeability formations in Yuma County, Colorado, and Maverick County, Texas.

  2. 2014-02-21 Issuance: Proposed Determination of Computer Servers...

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

    withdrawing the previously proposed determination that computer servers qualify as a covered product, as issued by the Deputy Assistant Secretary for Energy Efficiency on February...

  3. Quarkonium production at ATLAS

    E-Print Network [OSTI]

    Darren D Price

    2012-01-24T23:59:59.000Z

    The production of quarkonium is an important testing ground for QCD calculations. The J/\\psi\\ and \\Upsilon\\ production cross-sections are measured in proton-proton collisions at a centre-of-mass energy of 7~TeV with the ATLAS detector at the LHC. Differential cross-sections are presented as a function of transverse momentum and rapidity. The fraction of J/\\psi\\ produced in B-hadron decays is also measured and the differential cross-sections of prompt and non-prompt J/\\psi\\ production determined separately. Measurements of the fiducial production cross-section of the \\Upsilon(1S) and observation of the \\chi_{c,bJ} states are also discussed.

  4. Fusion integral experiments and analysis and the determination of design safety factors - II: Application to the prediction uncertainty of tritium production rate from the U.S. DOE/JAERI collaborative program on fusion blanket neutronics

    SciTech Connect (OSTI)

    Youssef, M.Z.; Kumar, A.; Abdou, M.A. [Univ. of California, Los Angeles, CA (United States)] [and others

    1995-09-01T23:59:59.000Z

    Many fusion integral experiments were performed during the last decade within a well-established collaboration between the United States and Japan on fusion breeder neutronics. The tritium production rate (TPR) has the prime focus among other reactions. The experimental and calculational data sets of local TPR in each experiment were interpolated to give an estimate of the prediction uncertainty, and the standard deviation, of the line-integrated TPR, a quantity that is closely related to the total breeding ratio (TBR) in the test assembly. A novel methodology developed during the collaboration was applied to arrive at estimates to design safety factors that fusion blanket designers can use to ensure that the achievable TBR in a blanket does not fall below a minimum required value. Associated with each safety factor is a confidence level, designers may choose to have, that calculated TPR will not exceed the actual measured value. Higher confidence levels require larger safety factors. Tabular and graphical forms for these factors are given, as derived independently for TPR from Li-6(T{sub 6}), Li-7 (T{sub 7}), and natural lithium (T{sub n}). Furthermore, distinction was made between safety factors based on the technique applied, discrete ordinates methods, and Monte Carlo methods in the U.S. calculations, JAERI`s calculations, and in both calculations considered simultaneously. The derived factors are applicable to TPR in Li{sub 2}O breeding material, 48 refs., 51 figs., 7 tabs.

  5. Measurement of the inclusive 3-jet production differential cross section in proton-proton collisions at 7 TeV and determination of the strong coupling constant in the TeV range

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

    Khachatryan, Vardan; et al.,

    2015-05-01T23:59:59.000Z

    This paper presents a measurement of the inclusive 3-jet production differential cross section at a proton-proton centre-of-mass energy of 7 TeV using data corresponding to an integrated luminosity of 5 fb$^{-1}$ collected with the CMS detector. The analysis is based on the three jets with the highest transverse momenta. The cross section is measured as a function of the invariant mass of the three jets in a range of 445-3270 GeV and in two bins of the maximum rapidity of the jets up to a value of 2. A comparison between the measurement and the prediction from perturbative QCD atmore »next-to-leading order is performed. Within uncertainties, data and theory are in agreement. The sensitivity of the observable to parameters of the theory such as the parton distribution functions of the proton and the strong coupling constant $\\alpha_S$ is studied. A fit to all data points with 3-jet masses larger than 664 GeV gives a value of the strong coupling constant of $\\alpha_S(M_\\mathrm{Z})$ = 0.1171 $\\pm$ 0.0013 (exp) $^{+0.0073}_{-0.0047}$ (theo).« less

  6. Measurement of the inclusive 3-jet production differential cross section in proton-proton collisions at 7 TeV and determination of the strong coupling constant in the TeV range

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

    Khachatryan, Vardan [Yerevan Physics Institute (Armenia); et al.,

    2015-05-01T23:59:59.000Z

    This paper presents a measurement of the inclusive 3-jet production differential cross section at a proton-proton centre-of-mass energy of 7 TeV using data corresponding to an integrated luminosity of 5 fb$^{-1}$ collected with the CMS detector. The analysis is based on the three jets with the highest transverse momenta. The cross section is measured as a function of the invariant mass of the three jets in a range of 445-3270 GeV and in two bins of the maximum rapidity of the jets up to a value of 2. A comparison between the measurement and the prediction from perturbative QCD at next-to-leading order is performed. Within uncertainties, data and theory are in agreement. The sensitivity of the observable to parameters of the theory such as the parton distribution functions of the proton and the strong coupling constant $\\alpha_S$ is studied. A fit to all data points with 3-jet masses larger than 664 GeV gives a value of the strong coupling constant of $\\alpha_S(M_\\mathrm{Z})$ = 0.1171 $\\pm$ 0.0013 (exp) $^{+0.0073}_{-0.0047}$ (theo).

  7. Product Demonstrations

    Broader source: Energy.gov [DOE]

    The Consortium will pursue a number of demonstrations following the general procedure used by DOE's GATEWAY demonstration program. Specific products to be featured in a demonstration may be...

  8. Hydrogen Production

    Fuel Cell Technologies Publication and Product Library (EERE)

    This 2-page fact sheet provides a brief introduction to hydrogen production technologies. Intended for a non-technical audience, it explains how different resources and processes can be used to produ

  9. RMOTC - Production

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

    on maximizing the value of the NPR-3 site and will continue with its Production Optimization Projects. NPR-3 includes 9,481 acres with more than 400 oil-producing wells....

  10. VII Pillars Of Productivity Seven practices characterize highly productive companies turning them into 'digital organizations.' IT is the catalyst,

    E-Print Network [OSTI]

    VII Pillars Of Productivity Seven practices characterize highly productive companies turning them's productivity growth, more than any other economic statistic, that determines our living standards. If productivity grows at 1% per year, living standards will double every 70 years. If productivity grows at 3% per

  11. Essays on Product Recalls, New Product Preannouncements, and Shareholder Value

    E-Print Network [OSTI]

    Yun, Wonjoo

    2014-08-08T23:59:59.000Z

    in the automotive 5 industry during 1997-2010. For example, during 2009-2010, Toyota announced 17 recalls (impacting 6.7 million vehicles) due to problems such as unintended acceleration, a sticky brake, and poor vehicle handling (Time 2010). Product... .......................................................................... 1 CHAPTER II DETERMINANTS OF THE LONG-TERM EFFECTS OF PRODUCT RECALLS ON SHAREHOLDER VALUE: AN EMPIRICAL ANALYSIS OF THE AUTOMOBILE INDUSTRY ................................................ 4 Introduction...

  12. Categorical Exclusion Determination Form

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

    - Outdoor tests, experiments on materials and eproduct materials IBl 83.12 - Sitinglconstructionlopcrationidccommission of...

  13. Kinetic determination of selenium in biological material

    SciTech Connect (OSTI)

    Efremenko, O.A.; Krasnyuk, I.I.; Kudrin, A.N.; Rudenko, B.A.

    1986-05-10T23:59:59.000Z

    A very promising method for selenium determination is a kinetic analytical procedure that combines the simplicity and availability of physical instrumentation with a low analyte detection limit. This paper reports a modification of the method to enable the determination of selenium in rat blood and involves decomposing the sample with a mixture of nitric and perchloric acids, separation of the selenium (IV) from other decomposition products, and quantitatively determining selenium by the described kinetic method using the indicator reaction of iron (II) edetate oxidation by sodium nitrate.

  14. A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.

    E-Print Network [OSTI]

    Hasanbeigi, Ali

    2012-01-01T23:59:59.000Z

    is equal to the electricity consumption at the end-use. Inis equal to the electricity consumption at the end-use. Inis equal to the electricity consumption at the end-use. In

  15. Disentangling Biodiversity and Climatic Determinants of Wood Production

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    an important role in carbon sequestration. Methodology/Principal Findings: We tested whether tree wood incorporating the role of biodiversity in management and policy plans for forest carbon sequestration. Citation

  16. DOE Issues Proposed Coverage Determination for Hearth Products | Department

    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: Theof"Wave theJulyD&DDepartment offor Energy DeliveryConservationof

  17. EMPOWERING DIGITAL SELF DETERMINATION

    E-Print Network [OSTI]

    Das, Rhiju

    : Communication and Digital Media 2. Data Context and Digital Personas 3. Personal Data: Use, ReuseEMPOWERING DIGITAL SELF DETERMINATION Symposium Summary Stanford University, Summer 2012 #12;#12;EMPOWERING DIGITAL SELF DETERMINATION Symposium, Stanford University, CA Summer, 2012 210 Panama Street

  18. Estimation and Fate of New Production in the Marine Environment

    E-Print Network [OSTI]

    McInnes, Allison Skinner

    2014-06-03T23:59:59.000Z

    new nutrients and the effect on the ecosystem, the effect of currents on our measurements and estimates of export (equivalent to new production), and finally development of a new method which will allow in situ determination of new production...

  19. Microbial petroleum degradation enhancement by oil spill bioremediation products

    E-Print Network [OSTI]

    Lee, Salvador Aldrett

    1996-01-01T23:59:59.000Z

    was conducted using unpolluted, natural seawater. The products were tested in triplicate using 250 ml Erlenmeyer flasks and evaluated over a 28 day period to determine the products' capabilities based on the extent of petroleum degradation. Toxicity...

  20. Soil microbes drive the classic plant diversity­ productivity pattern

    E-Print Network [OSTI]

    Schnitzer, Stefan A.; Klironomos, John N.; HilleRisLambers, Jannek; Kinkel, Linda L.; Reich, Peter B.; Xiao, Kun; Rillig, Matthias C.; Sikes, Benjamin A.; Callaway, Ragan M.; Mangan, Scott A.; van Nes, Egbert H.; Scheffer, Marten

    2011-02-01T23:59:59.000Z

    Ecosystem productivity commonly increases asymptotically with plant species diversity, and determining the mechanisms responsible for this well-known pattern is essential to predict potential changes in ecosystem productivity ...

  1. Microbial petroleum degradation enhancement by oil spill bioremediation products 

    E-Print Network [OSTI]

    Lee, Salvador Aldrett

    1996-01-01T23:59:59.000Z

    was conducted using unpolluted, natural seawater. The products were tested in triplicate using 250 ml Erlenmeyer flasks and evaluated over a 28 day period to determine the products' capabilities based on the extent of petroleum degradation. Toxicity...

  2. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G. (Albuquerque, NM); Gurary, Alexander I. (Bridgewater, NJ); Boguslavskiy, Vadim (Princeton, NJ)

    2002-01-01T23:59:59.000Z

    A method for determining the temperature of a surface upon which a coating is grown using optical pyrometry by correcting Kirchhoff's law for errors in the emissivity or reflectance measurements associated with the growth of the coating and subsequent changes in the surface thermal emission and heat transfer characteristics. By a calibration process that can be carried out in situ in the chamber where the coating process occurs, an error calibration parameter can be determined that allows more precise determination of the temperature of the surface using optical pyrometry systems. The calibration process needs only to be carried out when the physical characteristics of the coating chamber change.

  3. Consumer Products

    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 Power Administration would likeConstitution And Bylaws | National Nuclearmarkconsumer-products

  4. Impact of product complexity on inventory levels

    E-Print Network [OSTI]

    See, Ying-Lai

    2006-01-01T23:59:59.000Z

    In this thesis we consider a manufacturing and distribution supply chain of a roll-based product whose width comes in 1-cm increments. We formulate a computer model subject to stochastic, inelastic demand to determine the ...

  5. Photographic lens manufacturing and production technologies

    E-Print Network [OSTI]

    Kubaczyk, Daniel Mark

    2011-01-01T23:59:59.000Z

    An investigation was conducted to determine the methods and processes required for the manufacture of photographic objective lenses. Production of photographic lenses requires incredible precision in the melting, mixing, ...

  6. Robust Growth Determinants

    E-Print Network [OSTI]

    Doppelhofer, Gernot; Weeks, Melvyn

    2011-01-31T23:59:59.000Z

    This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious...

  7. Energy Conservation Program for Consumer Products and Certain...

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

    More Documents & Publications 2014-02-21 Issuance: Proposed Determination of Computer Servers as a Covered Consumer Product; Withdrawal 2014-03-26 Issuance: Proposed...

  8. amino acid production: Topics by E-print Network

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

    of energy requirements for milk production. The protein deficiency was alleviated by infusion Bequette, Brian J. 2 METHODS TO DETERMINE AMINO ACID DIGESTIBILITY IN CiteSeer...

  9. Uncertainties in the Anti-neutrino Production at Nuclear Reactors

    E-Print Network [OSTI]

    Djurcic, Zelimir

    2009-01-01T23:59:59.000Z

    neutrino Production at Nuclear Reactors Z. Djurcic 1 , ?emission rates from nuclear reactors are determined fromlarge commercial nuclear reactors are playing an important

  10. acyl sugar production: Topics by E-print Network

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

    Association- JunelJuIy 1975 QUANTITATIVE DETERMINATION OF SUGARS IN FACTORY PRODUCTS BY GAS CHROMATOGRAPHY USING CiteSeer Summary: Glucose, fructose, sucrose and kestose in a...

  11. a-1 fuel production: Topics by E-print Network

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

    pathway technologies to gain the marketshare required to influence the environment and reduce petroleum use. Since 62 RIS-M-2599 DETERMINATION OF FISSION PRODUCTS IN...

  12. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01T23:59:59.000Z

    The hypothesis of this paper is that crude oil, like any other unfinished commodity, is valued for the products derived from it; the purpose is to offer an empirical explanation for changes in the crude price charged by the members of OPEC. The model results show that the market-clearing prices reported to prevail for petroleum products on the principal petroleum spot market at Rotterdam are the primary determinants of changes in official crude prices. A systematic relationship between offical and spot prices is argued to have prevailed since 1974. An appendix clarifies five types of data required for the model. 13 references, 4 tables.

  13. Westinghouse Lighting: Noncompliance Determination (2010-CE-09/1001)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Westinghouse Lighting Corporation finding that model F40T12/CWE (Westinghouse product code 07521000), a general service fluorescent lamp, and model 15GLOBE/65/2 (Westinghouse product code 3800400), a medium base compact fluorescent lamp, do not comport with the energy conservation standards.

  14. Nulljob product

    SciTech Connect (OSTI)

    Hughart, N.; Ritchie, D.

    1987-08-01T23:59:59.000Z

    The ever increasing demand for more CPU cycles for data analysis on the authors' Central VAX Cluster led them to investigate new ways to utilize more fully the resources that were available. A review of the experiment and software development VAX systems on site revealed many unused computing cycles. Furthermore, these systems were all connected by DECnet which would allow easy file transfer and remote batch job submission. A product was developed to allow jobs to be submitted on the Central VAX Cluster but actually to be run on one of the remote systems. The processing of the jobs was arranged, to the greatest extent possible, to be transparent to the user and to have minimal impact on both the Central VAX Cluster and remote systems.

  15. NULLJOB product

    SciTech Connect (OSTI)

    Hughart, N.; Ritchie, D.

    1987-05-01T23:59:59.000Z

    The ever increasing demand for more CPU cycles for data analysis on our Central VAX Cluster led us to investigate new ways to utilize more fully the resources that were available. A review of the experiment and software development VAX systems on site revealed many unused computing cycles. Furthermore, these systems were all connected by DECnet which would allow easy file transfer and remote batch job submission. A product was developed to allow jobs to be submitted on the Central VAX Cluster but actually to be run on one of the remote systems. The processing of the jobs was arranged, to the greatest extent possible, to be transparent to the user and to have minimal impact on both the Central VAX Cluster and remote systems.

  16. Determining Reactor Neutrino Flux

    E-Print Network [OSTI]

    Jun Cao

    2012-03-08T23:59:59.000Z

    Flux is an important source of uncertainties for a reactor neutrino experiment. It is determined from thermal power measurements, reactor core simulation, and knowledge of neutrino spectra of fuel isotopes. Past reactor neutrino experiments have determined the flux to (2-3)% precision. Precision measurements of mixing angle $\\theta_{13}$ by reactor neutrino experiments in the coming years will use near-far detector configurations. Most uncertainties from reactor will be canceled out. Understanding of the correlation of uncertainties is required for $\\theta_{13}$ experiments. Precise determination of reactor neutrino flux will also improve the sensitivity of the non-proliferation monitoring and future reactor experiments. We will discuss the flux calculation and recent progresses.

  17. Ris-R-1263(EN) Procedures for Determination of

    E-Print Network [OSTI]

    of uranium in soil and sediment 18 Determination of uranium in food products 20 Determination of thorium precipitation is repeated twice, the first time to remove a large amount of Ca2+ and Mg2+ at pH=8-10 in a NH3

  18. State power plant productivity programs

    SciTech Connect (OSTI)

    Not Available

    1981-02-01T23:59:59.000Z

    The findings of a working group formed to review the status of efforts by utilities and utility regulators to increase the availability and reliability of generating units are presented. Representatives from nine state regulatory agencies, NRRI, and DOE, participated on the Working Group. The Federal government has been working cooperatively with utilities, utility organizations, and with regulators to encourage and facilitate improvements in power plant productivity. Cooperative projects undertaken with regulatory and energy commissions in California, Illinois, New York, Ohio, Texas, North Carolina and Mighigan are described. Following initiation of these cooperative projects, DOE funded a survey to determine which states were explicitly addressing power plant productivity through the regulatory process. The Working Group was formed following completion of this survey. The Working Group emphasized the need for those power plant productivity improvements which are cost effective. The cost effectiveness of proposed availability improvement projects should be determined within the context of opportunities for operating and capital improvements available to an entire utility. The Working Group also identified the need for: allowing for plant designs that have a higher construction cost, but are also more reliable; allowing for recovery and reducing recovery lags for productivity-related capital expenditures; identifying and reducing disincentives in the regulatory process; ascertaining that utilities have sufficient money available to undertake timely maintenance; and support of EPRI and NERC to develop a relevant and accurate national data base. The DOE views these as extremely important aspects of any regulatory program to improve power plant productivity.

  19. Language Production General Points about Speech Production

    E-Print Network [OSTI]

    Coulson, Seana

    Language Production #12;General Points about Speech Production 15 speech sounds per second => 2, shall I say `t' or `d'' (Levelt) Production side has gotten less attention in Psycholinguistics than the comprehension side. Evidence for speech production behaviour has until recently relied heavily on speech errors

  20. Top production at the LHC

    E-Print Network [OSTI]

    Kanzaki, Junichi; The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    Measurements of the inclusive top quark production cross sections in proton-proton collisions with the ATLAS and CMS detectors at the Large Hadron Collider are presented. The measurements of the precise pair production cross section are performed for di-lepton, semi-leptonic and hadronic final states. Differential measurements of the top transverse momentum and kinematic properties of the top-anti-top pair are also discussed. The results, unfolded to particle and parton level, are compared to recent Monte Carlo generators implementing LO and NLO matrix elements matched with parton showers and NLO QCD calculations. For single top-quark productions cross sections are measured for t-channel, s-channel and W-boson associated production processes. The single top-quark and anti-top total production cross sections, their ratio, as well as a measurement of the inclusive production cross section is presented. All measurements are compared to theoretical calculations and the CKM matrix element |Vtb| is determined.

  1. Photovoltaic Product Directory and Buyers Guide

    SciTech Connect (OSTI)

    Watts, R.L.; Smith, S.A.; Dirks, J.A.; Mazzucchi, R.P.; Lee, V.E.

    1984-04-01T23:59:59.000Z

    The directory guide explains photovoltaic systems briefly and shows what products are available off-the-shelf. Information is given to assist in designing a photovoltaic system and on financial incentives. Help is given for determining if photovoltaic products can meet a particular buyer's needs, and information is provided on actual photovoltaic user's experiences. Detailed information is appended on various financial incentives available from state and federal governments, sources of additional information on photovoltaics, sources of various photovoltaic products, and a listing of addresses of photovoltaic products suppliers. (LEW)

  2. Pilot Phase of a Field Study to Determine Waste of Water and Energy in Residential Hot-Water Distribution Systems

    E-Print Network [OSTI]

    Lutz, Jim

    2012-01-01T23:59:59.000Z

    end use point, at the water heater in one second intervalsand monitoring at the water heater and hot water end uses.of water at the trunk (water heater) and twigs (individual

  3. Synthesis of Polycyclic Natural Products

    SciTech Connect (OSTI)

    Tuan Hoang Nguyen

    2003-05-31T23:59:59.000Z

    With the continuous advancements in molecular biology and modern medicine, organic synthesis has become vital to the support and extension of those discoveries. The isolations of new natural products allow for the understanding of their biological activities and therapeutic value. Organic synthesis is employed to aid in the determination of the relationship between structure and function of these natural products. The development of synthetic methodologies in the course of total syntheses is imperative for the expansion of this highly interdisciplinary field of science. In addition to the practical applications of total syntheses, the structural complexity of natural products represents a worthwhile challenge in itself. The pursuit of concise and efficient syntheses of complex molecules is both gratifying and enjoyable.

  4. Determining Pregnancy in Cattle.

    E-Print Network [OSTI]

    Sorensen, A. M. Jr.; Beverly, J. R.

    1968-01-01T23:59:59.000Z

    . This should not upset the pal- pator. An indication of rectum damage is a sand- paper or gritty feeling. In this case, the mucosa lining the rectum has been rubbed off in the palpation pro- cess. It is best to stop further palpation when this occurs. A... good land- mark, figure 2. After locating the cervix, the pal- pator can move forward to the uterus to determine pregnancy. The paunch, located directly forward and to the left, may feel like the end of a football and be rather soft and mushy...

  5. Determining the mechanisms of catonic contamination of PEMFCs using a strip cell configuration

    SciTech Connect (OSTI)

    Kienitz, Brian L [Los Alamos National Laboratory; Pivovar, Bryan S [Los Alamos National Laboratory; Fernando, Garzon [Los Alamos National Laboratory; Zawodzinski, Thomas A [CWRU

    2008-01-01T23:59:59.000Z

    Cationic contamination of polymer electrolyte fuel cells has been shown to cause serious performance degradation but the exact mechanisms of this degradation are not fully understood. A strip cell configuration was devised to study the mechanisms of performance degradation due to cationic contamination by changing the time and length scales of traditional fuel cells while providing a suitable reference electrode. This 'strip cell' configuration utilizes traditional Nafion{reg_sign} membranes in an inplane configuration with electrodes painted on each end. Using this cell it was determined that cationic contaminants collect near the cathode of the fuel cell under load and that this profile leads to increased losses primarily in the cathode region. These results can be directly related to performance losses in a typical PEMFC contaminated by foreign cations.

  6. An analysis of variations in isentropic melt productivity

    E-Print Network [OSTI]

    Asimow, Paul D.

    An analysis of variations in isentropic melt productivity B y P. D. Asimow1 , M. M. Hirschmann1 productivity, cannot be determined directly from experiments and is commonly assumed to be constant on a ther- modynamic model of peridotite partial melting, we show that productivity for re- versible

  7. Isotope Science and Production

    E-Print Network [OSTI]

    Isotope Science and Production 35 years of experience in isotope production, processing, and applications. Llllll Committed to the safe and reliable production of radioisotopes, products, and services nuclear materials in trucks and cargo containers. Isotopes for Threat Reduction Isotope production at Los

  8. Biological production of products from waste gases

    DOE Patents [OSTI]

    Gaddy, James L. (Fayetteville, AR)

    2002-01-22T23:59:59.000Z

    A method and apparatus are designed for converting waste gases from industrial processes such as oil refining, and carbon black, coke, ammonia, and methanol production, into useful products. The method includes introducing the waste gases into a bioreactor where they are fermented to various products, such as organic acids, alcohols, hydrogen, single cell protein, and salts of organic acids by anaerobic bacteria within the bioreactor. These valuable end products are then recovered, separated and purified.

  9. Mississippi State Biodiesel Production Project

    SciTech Connect (OSTI)

    Rafael Hernandez; Todd French; Sandun Fernando; Tingyu Li; Dwane Braasch; Juan Silva; Brian Baldwin

    2008-03-20T23:59:59.000Z

    Biodiesel is a renewable fuel conventionally generated from vegetable oils and animal fats that conforms to ASTM D6751. Depending on the free fatty acid content of the feedstock, biodiesel is produced via transesterification, esterification, or a combination of these processes. Currently the cost of the feedstock accounts for more than 80% of biodiesel production cost. The main goal of this project was to evaluate and develop non-conventional feedstocks and novel processes for producing biodiesel. One of the most novel and promising feedstocks evaluated involves the use of readily available microorganisms as a lipid source. Municipal wastewater treatment facilities (MWWTF) in the USA produce (dry basis) of microbial sludge annually. This sludge is composed of a variety of organisms, which consume organic matter in wastewater. The content of phospholipids in these cells have been estimated at 24% to 25% of dry mass. Since phospholipids can be transesterified they could serve as a ready source of biodiesel. Examination of the various transesterification methods shows that in situ conversion of lipids to FAMEs provides the highest overall yield of biodiesel. If one assumes a 7.0% overall yield of FAMEs from dry sewage sludge on a weight basis, the cost per gallon of extracted lipid would be $3.11. Since the lipid is converted to FAMEs, also known as biodiesel, in the in Situ extraction process, the product can be used as is for renewable fuel. As transesterification efficiency increases the cost per gallon drops quickly, hitting $2.01 at 15.0% overall yield. An overall yield of 10.0% is required to obtain biodiesel at $2.50 per gallon, allowing it to compete with soybean oil in the marketplace. Twelve plant species with potential for oil production were tested at Mississippi State, MS. Of the species tested, canola, rapeseed and birdseed rape appear to have potential in Mississippi as winter annual crops because of yield. Two perennial crops were investigated, Chinese tallow tree and tung tree. High seed yields from these species are possible because, there stature allows for a third dimension in yield (up). Harvest regimes have already been worked out with tung, and the large seed makes shedding of the seed with tree shakers possible. While tallow tree seed yields can be mind boggling (12,000 kg seed/ha at 40% oil), genotypes that shed seed easily are currently not known. Efficient methods were developed to isolate polyunsaturated fatty acid methyl esters from bio-diesel. The hypothesis to isolate this class of fatty acids, which are used as popular dietary supplements and prescription medicine (OMACOR), was that they bind transition metal ions much stronger than their harmful saturated analogs. AgBF4 has the highest extraction ability among all the metal ions tested. Glycerol is a key product from the production of biodiesel. It is produced during the transesterification process by cleaving the fatty acids from the glycerol backbone (the fatty acids are used as part of the biodiesel, which is a fatty acid methyl ester). Glycerol is a non-toxic compound with many uses; however, if a surplus exists in the future, more uses for the produced glycerol needs to be found. Another phase of the project was to find an add-on process to the biodiesel production process that will convert the glycerol by-product into more valuable substances for end uses other than food or cosmetics, focusing at present on 1,3-propanediol and lactic acid.All three MSU cultures produced products at concentrations below that of the benchmark microorganisms. There was one notable isolate the caught the eye of the investigators and that was culture J6 due to the ability of this microorganism to co-produce both products and one in particularly high concentrations. This culture with more understanding of its metabolic pathways could prove a useful biological agent for the conversion of glycerol. Heterogeneous catalysis was examined as an alternative to overcome the disadvantages of homogeneous transesterification, such as the presence of salts in the glycer

  10. Modeling Fission Product Sorption in Graphite Structures

    SciTech Connect (OSTI)

    Szlufarska, Izabela [University of Wisconsin, Madison, WI (United States); Morgan, Dane [University of Wisconsin, Madison, WI (United States); Allen, Todd [University of Wisconsin, Madison, WI (United States)

    2013-04-08T23:59:59.000Z

    The goal of this project is to determine changes in adsorption and desorption of fission products to/from nuclear-grade graphite in response to a changing chemical environment. First, the project team will employ principle calculations and thermodynamic analysis to predict stability of fission products on graphite in the presence of structural defects commonly observed in very high- temperature reactor (VHTR) graphites. Desorption rates will be determined as a function of partial pressure of oxygen and iodine, relative humidity, and temperature. They will then carry out experimental characterization to determine the statistical distribution of structural features. This structural information will yield distributions of binding sites to be used as an input for a sorption model. Sorption isotherms calculated under this project will contribute to understanding of the physical bases of the source terms that are used in higher-level codes that model fission product transport and retention in graphite. The project will include the following tasks: Perform structural characterization of the VHTR graphite to determine crystallographic phases, defect structures and their distribution, volume fraction of coke, and amount of sp2 versus sp3 bonding. This information will be used as guidance for ab initio modeling and as input for sorptivity models; Perform ab initio calculations of binding energies to determine stability of fission products on the different sorption sites present in nuclear graphite microstructures. The project will use density functional theory (DFT) methods to calculate binding energies in vacuum and in oxidizing environments. The team will also calculate stability of iodine complexes with fission products on graphite sorption sites; Model graphite sorption isotherms to quantify concentration of fission products in graphite. The binding energies will be combined with a Langmuir isotherm statistical model to predict the sorbed concentration of fission products on each type of graphite site. The model will include multiple simultaneous adsorbing species, which will allow for competitive adsorption effects between different fission product species and O and OH (for modeling accident conditions).

  11. Covered Product Category: Cool Roof Products

    Broader source: Energy.gov [DOE]

    FEMP provides acquisition guidance across a variety of product categories, including cool roof products, which are an ENERGY STAR®-qualified product category. Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

  12. 5 February 2014 SENT TO LSU AGCENTER/LOUISIANA FOREST PRODUCTS DEVELOPMENT CENTER -FOREST SECTOR / FORESTY PRODUCTS INTEREST GROUP

    E-Print Network [OSTI]

    / FORESTY PRODUCTS INTEREST GROUP 1 Title: Social network media in the forest products industry: A look Manufacturers Inc. (AHMI) surveyed a group of their members to determine if social media was being used, and exporting. Seven appendixes list resources and agencies that provide assistance to wood products companies

  13. Significant Radionuclides Determination

    SciTech Connect (OSTI)

    Jo A. Ziegler

    2001-07-31T23:59:59.000Z

    The purpose of this calculation is to identify radionuclides that are significant to offsite doses from potential preclosure events for spent nuclear fuel (SNF) and high-level radioactive waste expected to be received at the potential Monitored Geologic Repository (MGR). In this calculation, high-level radioactive waste is included in references to DOE SNF. A previous document, ''DOE SNF DBE Offsite Dose Calculations'' (CRWMS M&O 1999b), calculated the source terms and offsite doses for Department of Energy (DOE) and Naval SNF for use in design basis event analyses. This calculation reproduces only DOE SNF work (i.e., no naval SNF work is included in this calculation) created in ''DOE SNF DBE Offsite Dose Calculations'' and expands the calculation to include DOE SNF expected to produce a high dose consequence (even though the quantity of the SNF is expected to be small) and SNF owned by commercial nuclear power producers. The calculation does not address any specific off-normal/DBE event scenarios for receiving, handling, or packaging of SNF. The results of this calculation are developed for comparative analysis to establish the important radionuclides and do not represent the final source terms to be used for license application. This calculation will be used as input to preclosure safety analyses and is performed in accordance with procedure AP-3.12Q, ''Calculations'', and is subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (DOE 2000) as determined by the activity evaluation contained in ''Technical Work Plan for: Preclosure Safety Analysis, TWP-MGR-SE-000010'' (CRWMS M&O 2000b) in accordance with procedure AP-2.21Q, ''Quality Determinations and Planning for Scientific, Engineering, and Regulatory Compliance Activities''.

  14. from Isotope Production Facility

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

    Cancer-fighting treatment gets boost from Isotope Production Facility April 13, 2012 Isotope Production Facility produces cancer-fighting actinium 2:32 Isotope cancer treatment...

  15. Determination of CMPO using HPLC -UV

    SciTech Connect (OSTI)

    Gracy Elias; Gary S. Groenewold; Bruce J. Mincher; Stephen P. Mezyk

    2012-06-01T23:59:59.000Z

    Octyl(phenyl)-N,N-diisobutylcarbamoylmethylphosphine oxide (CMPO) is an extractant proposed for selective separation of radionuclide metals from used nuclear fuel solutions using solvent extraction. Radiolysis reactions can degrade CMPO and reduce separation performance and hence methods for measuring concentration of CMPO and identifying degradation products are needed. A novel high performance liquid chromatography (HPLC) method employing ultraviolet detection (UV) was developed to detect and quantitate CMPO in dodecane. Some radiolysis products in gamma and alpha irradiated CMPO solutions were identified using HPLC/electrospray ionization-mass spectrometry (ESI-MS). Validation data indicated that the HPLC-UV method for CMPO determination provided good linearity, sensitivity, procedure accuracy and system precision. CMPO-nitric acid complexes were also identified, that account for the apparent loss of CMPO in acidic environment, independent of irradiation.

  16. Electronics Come of Age: A Taxonomy for Miscellaneous and Low Power Products

    E-Print Network [OSTI]

    Nordman, Bruce; Sanchez, Marla C.

    2006-01-01T23:59:59.000Z

    heating, point of use tank Traditional End Uses HVAC Lighting, residential Air conditioning, central Air conditioning, heat pump

  17. Non-destructive method for determining neutron exposure

    DOE Patents [OSTI]

    Gold, R.; McElroy, W.N.

    1983-11-01T23:59:59.000Z

    A non-destructive method for determination of neutron exposure in an object, such as a reactor pressure vessel, is based on the observation of characteristic gamma-rays emitted by activation products in the object by using a unique continuous gamma-ray spectrometer. The spectrometer views the object through appropriate collimators to determine the absolute emission rate of these characteristic gamma-rays, thereby ascertaining the absolute activity of given activation products in the object. These data can then be used to deduce the spatial and angular dependence of neutron exposure at regions of interest within the object.

  18. Detonation and incineration products of PBX explosives

    SciTech Connect (OSTI)

    Fletcher, M.A.; Loughran, E.D.

    1992-01-01T23:59:59.000Z

    A series of experiments are planned to determine detonation product gases that are released into the environment when high explosives are tested. These experiments will be done in a 1.8-m-diam confinement vessel at ambient air pressure and partial vacuum. A matrix of four shots of PBX 9501, three shots of PBX 9502 and one shot of LX-10 are analyzed to determine the reproducibility and mass balance of materials in the detonation. This paper will only report on the detonation product gases as other experiments are planned.

  19. ################### g VM Production Mechanisms

    E-Print Network [OSTI]

    Kai­C. Voss, Bonn University 1 Vector meson production at HERA ############################### ################# ############### ############ #################################### ######################################### ############################ #12; Kai­C. Voss, Bonn University 2 Vector meson production at HERA # ################################################## ############################## ## ####################################### # # ## # ######## ### #### # # #12; Kai­C. Voss, Bonn University 3 Vector meson production at HERA VM Production Mechanisms soft

  20. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    Center for By-Products Utilization PROPERTIES OF CONCRETE CONTAINING SCRAP TIRE RUBBER in a variety of rubber and plastic products, thermal incineration of waste tires for production of electricity rubber in asphalt mixes, (ii) thermal incineration of worn-out tires for the production of electricity

  1. Meats & Products Agricultural Inputs

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Meats & Products Agricultural Inputs Processing Idaho B20 C C B Meats and Livestock Products Index to agriculture? Legend Overall weighted grade Weighted rank Northwest Midwest Southwest East Meats & ProductsProcessingessing Maine B11 B A A Meats & Products Agricultural Inputs Processing New York F49 F F F soductsoducts

  2. Determining the neutrino mass hierarchy

    SciTech Connect (OSTI)

    Parke, Stephen J.; /Fermilab

    2006-07-01T23:59:59.000Z

    In this proceedings I review the physics that future experiments will use to determine the neutrino mass hierarchy.

  3. Introduction to biogas production on the farm

    SciTech Connect (OSTI)

    Not Available

    1984-03-01T23:59:59.000Z

    A number of farmers, ranchers, and engineers received support from the US Department of Energy Appropriate Technology Small Grants Program to design, construct, and demonstrate biogas production systems. Many of these projects generated more than just biogas; grantees' work and results have contributed to a growing body of information about practical applications of this technology. This publication was developed to share some of that information, to answer the basic questions about biogas production, and to lead farmers to more information. Section I introduces biogas and the various components of a biogas production system, discusses the system's benefits and liabilities, and provides a brief checklist to determine if biogas production may be applicable to an individual's particular situation. Section II features descriptions of four biogas projects of various sizes. Section III provides sources of additional information including descriptions of other biogas production projects.

  4. APPROACH TO MULTIPARTICLE PRODUCTION APPROACH TO MULTIPARTICLE PRODUCTION

    E-Print Network [OSTI]

    Boyer, Edmond

    s t a t i s t i c a l d e s c r i p t i o n of multihadron production, t h e p r o b a b i l i t y of an in- c l u s i v e f i n a l s t a t e a is determined by t h e correspon- d i n g l e v e l density d ~ ), i . e . , by t h e number of ex- c l u s i v e configurations compatible with a . I n c l a s s i

  5. Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production

    E-Print Network [OSTI]

    Narasayya, Vivek

    #12;Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production Toward Zero Carbon Energy Production Toward

  6. Technical Analysis of Hydrogen Production

    SciTech Connect (OSTI)

    Ali T-Raissi

    2005-01-14T23:59:59.000Z

    The aim of this work was to assess issues of cost, and performance associated with the production and storage of hydrogen via following three feedstocks: sub-quality natural gas (SQNG), ammonia (NH{sub 3}), and water. Three technology areas were considered: (1) Hydrogen production utilizing SQNG resources, (2) Hydrogen storage in ammonia and amine-borane complexes for fuel cell applications, and (3) Hydrogen from solar thermochemical cycles for splitting water. This report summarizes our findings with the following objectives: Technoeconomic analysis of the feasibility of the technology areas 1-3; Evaluation of the hydrogen production cost by technology areas 1; and Feasibility of ammonia and/or amine-borane complexes (technology areas 2) as a means of hydrogen storage on-board fuel cell powered vehicles. For each technology area, we reviewed the open literature with respect to the following criteria: process efficiency, cost, safety, and ease of implementation and impact of the latest materials innovations, if any. We employed various process analysis platforms including FactSage chemical equilibrium software and Aspen Technologies AspenPlus and HYSYS chemical process simulation programs for determining the performance of the prospective hydrogen production processes.

  7. Bistatic SAR: Imagery & Image Products.

    SciTech Connect (OSTI)

    Yocky, David A.; Wahl, Daniel E.; Jakowatz, Charles V,

    2014-10-01T23:59:59.000Z

    While typical SAR imaging employs a co-located (monostatic) RADAR transmitter and receiver, bistatic SAR imaging separates the transmitter and receiver locations. The transmitter and receiver geometry determines if the scattered signal is back scatter, forward scatter, or side scatter. The monostatic SAR image is backscatter. Therefore, depending on the transmitter/receiver collection geometry, the captured imagery may be quite different that that sensed at the monostatic SAR. This document presents imagery and image products formed from captured signals during the validation stage of the bistatic SAR research. Image quality and image characteristics are discussed first. Then image products such as two-color multi-view (2CMV) and coherent change detection (CCD) are presented.

  8. PRODUCT REPRESENTATION IN LIGHTWEIGHT FORMATS FOR PRODUCT LIFECYCLE MANAGEMENT (PLM)

    E-Print Network [OSTI]

    Rzepa, Henry S.

    PRODUCT REPRESENTATION IN LIGHTWEIGHT FORMATS FOR PRODUCT LIFECYCLE MANAGEMENT (PLM) Lian Ding environments and the entire product lifecycle. There are new requirements for product representations, including: platform/application independence, support for the product lifecycle, rapidly sharing information

  9. Determining Reserves in Low Permeability and Layered Reservoirs Using the Minimum Terminal Decline Rate Method: How Good are the Predictions? 

    E-Print Network [OSTI]

    McMillan, Marcia Donna

    2011-08-08T23:59:59.000Z

    Shale completions of the type which have been widely utilized since 2004. There is insufficient production history from real wells to determine an appropriate minimum terminal decline rate. In the absence of suitable analogs for the determination...

  10. Methods of cracking a crude product to produce additional crude products

    DOE Patents [OSTI]

    Mo, Weijian (Sugar Land, TX); Roes, Augustinus Wilhelmus Maria (Houston, TX); Nair, Vijay (Katy, TX)

    2009-09-08T23:59:59.000Z

    A method for producing a crude product is disclosed. Formation fluid is produced from a subsurface in situ heat treatment process. The formation fluid is separated to produce a liquid stream and a first gas stream. The first gas stream includes olefins. The liquid stream is fractionated to produce one or more crude products. At least one of the crude products has a boiling range distribution from 38.degree. C. and 343.degree. C. as determined by ASTM Method D5307. The crude product having the boiling range distribution from 38.degree. C. and 343.degree. C. is catalytically cracked to produce one or more additional crude products. At least one of the additional crude products is a second gas stream. The second gas stream has a boiling point of at most 38.degree. C. at 0.101 MPa.

  11. Hydrogen production by supercritical water gasification of biomass. Phase 1 -- Technical and business feasibility study, technical progress report

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    The nine-month Phase 1 feasibility study was directed toward the application of supercritical water gasification (SCWG) for the economical production and end use of hydrogen from renewable energy sources such as sewage sludge, pulp waste, agricultural wastes, and ultimately the combustible portion of municipal solid waste. Unique in comparison to other gasifier systems, the properties of supercritical water (SCW) are ideal for processing biowastes with high moisture content or contain toxic or hazardous contaminants. During Phase I, an end-to-end SCWG system was evaluated. A range of process options was initially considered for each of the key subsystems. This was followed by tests of sewage sludge feed preparation, pumping and gasification in the SCW pilot plant facility. Based on the initial process review and successful pilot-scale testing, engineering evaluations were performed that defined a baseline system for the production, storage and end use of hydrogen. The results compare favorably with alternative biomass gasifiers currently being developed. The results were then discussed with regional wastewater treatment facility operators to gain their perspective on the proposed commercial SCWG systems and to help define the potential market. Finally, the technical and business plans were developed based on perceived market needs and the projected capital and operating costs of SCWG units. The result is a three-year plan for further development, culminating in a follow-on demonstration test of a 5 MT/day system at a local wastewater treatment plant.

  12. December 2002 Issue #10 2002 Determining Biosolid Application Rates

    E-Print Network [OSTI]

    Balser, Teri C.

    December 2002 Issue #10 ­ 2002 Determining Biosolid Application Rates Richard Wolkowski, Extension Chapter NR 204 regulates biosolid (sewage sludge) management in Wisconsin. It requires that University of a crop production pro-gram. Most biosolid application rates are based on the nitrogen (N) need

  13. Production rate of cosmogenic 21 Ne in quartz estimated from 10

    E-Print Network [OSTI]

    Shuster, David L.

    Production rate of cosmogenic 21 Ne in quartz estimated from 10 Be, 26 Al, and 21 Ne concentrations Antarctica production rate calibration We estimated the production rate of 21 Ne in quartz using a set production rate. As the erosion rate can be determined from 10 Be and 26 Al concentrations, this allows

  14. Iridium-192 Production for Cancer Treatment

    SciTech Connect (OSTI)

    Rostelato, M.E.C.M.; Silva, C.P.G.; Rela, P.R.; Zeituni, C.A.; Lepki, V.; Feher, A.

    2004-10-05T23:59:59.000Z

    The purpose of this work is to settle a laboratory for Iridium -192 sources production, that is, to determine a wire activation method and to build a hot cell for the wires manipulation, quality control and packaging. The paper relates, mainly, the wire activation method and its quality control. The wire activation is carried out in our nuclear reactor, IEA- R1m.

  15. PROMPT PHOTON PRODUCTION IN POLARIZED HADRON COLLISIONS.

    SciTech Connect (OSTI)

    VOGELSANG,W.

    2000-04-25T23:59:59.000Z

    We consider spin asymmetries for prompt photon production in collisions of longitudinally polarized hadrons. This reaction will be a key tool at the BNL-RHIC {rvec p}{rvec p} collider for determining the gluon spin density in a polarized proton. We study the effects of QCD corrections, such as all-order soft-gluon ''threshold'' resummations.

  16. Begell House, Inc. Publishers Journal Production

    E-Print Network [OSTI]

    Hu, Qinhong "Max"

    for decades to obtain the poresize distribution of porous media. We performed triplicate MIP tests on concrete Michelle Amoroso Production Department #12;Journal of Porous Media, 16 (7): 607­617 (2013) GAS DIFFUSIVITY IN POROUS MEDIA: DETERMINATION BY MERCURY INTRUSION POROSIMETRY AND CORRELATION TO POROSITY AND PERMEABILITY

  17. Insights into vitamin B?? production, acquisition, and use by marine microbes

    E-Print Network [OSTI]

    Bertrand, Erin Marie

    2012-01-01T23:59:59.000Z

    The distribution and magnitude of marine primary production helps determine the ocean's role in global carbon cycling. Constraining factors that impact this productivity and elucidating selective pressures that drive the ...

  18. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    Center for By-Products Utilization DRAFT REPORT CARBON DIOXIDE SEQUESTRATION IN CEMENTITIOUS-MILWAUKEE #12;CARBON DIOXIDE SEQUESTRATION IN CEMENTITIOUS PRODUCTS Progress Report by Tarun R. Naik, Rakesh of Carbon Dioxide Sequestration Technologies

  19. Increasing productivity: Another approach

    SciTech Connect (OSTI)

    Norton, F.J.

    1996-06-10T23:59:59.000Z

    An engineering information (EI) and information technology (IT) organization that must improve its productivity should work to further its business goals. This paper explores a comprehensive model for increasing EI/IT productivity by supporting organizational objectives.

  20. Leading Particle Production in Light Flavour Jets

    E-Print Network [OSTI]

    Abbiendi, G; Åkesson, P F; Alexander, Gideon; Allison, J; Anderson, K J; Arcelli, S; Asai, S; Ashby, S F; Axen, D A; Azuelos, Georges; Bailey, I; Ball, A H; Barberio, E; Barlow, R J; Batley, J Richard; Baumann, S; Behnke, T; Bell, K W; Bella, G; Bellerive, A; Bentvelsen, Stanislaus Cornelius Maria; Bethke, Siegfried; Betts, S; Biebel, O; Biguzzi, A; Bloodworth, Ian J; Bock, P; Böhme, J; Boeriu, O; Bonacorsi, D; Boutemeur, M; Braibant, S; Bright-Thomas, P G; Brigliadori, L; Brown, R M; Burckhart, Helfried J; Capiluppi, P; Carnegie, R K; Carter, A A; Carter, J R; Chang, C Y; Charlton, D G; Chrisman, D; Ciocca, C; Clarke, P E L; Clay, E; Cohen, I; Conboy, J E; Cooke, O C; Couchman, J; Couyoumtzelis, C; Coxe, R L; Cuffiani, M; Dado, S; Dallavalle, G M; Dallison, S; Davis, R; de Roeck, A; Dervan, P J; Desch, Klaus; Dienes, B; Dixit, M S; Donkers, M; Dubbert, J; Duchovni, E; Duckeck, G; Duerdoth, I P; Estabrooks, P G; Etzion, E; Fabbri, Franco Luigi; Fanfani, A; Fanti, M; Faust, A A; Feld, L; Ferrari, P; Fiedler, F; Fierro, M; Fleck, I; Frey, A; Fürtjes, A; Futyan, D I; Gagnon, P; Gary, J W; Gaycken, G; Geich-Gimbel, C; Giacomelli, G; Giacomelli, P; Gingrich, D M; Glenzinski, D A; Goldberg, J; Gorn, W; Grandi, C; Graham, K; Gross, E; Grunhaus, Jacob; Gruwé, M; Hajdu, C; Hanson, G G; Hansroul, M; Hapke, M; Harder, K; Harel, A; Hargrove, C K; Harin-Dirac, M; Hauschild, M; Hawkes, C M; Hawkings, R; Hemingway, Richard J; Herten, G; Heuer, R D; Hildreth, M D; Hill, J C; Hobson, P R; Höcker, Andreas; Hoffman, K; Homer, R James; Honma, A K; Horváth, D; Hossain, K R; Howard, R; Hüntemeyer, P; Igo-Kemenes, P; Imrie, D C; Ishii, K; Jacob, F R; Jawahery, A; Jeremie, H; Jimack, Martin Paul; Jones, C R; Jovanovic, P; Junk, T R; Kanaya, N; Kanzaki, J I; Karapetian, G V; Karlen, D A; Kartvelishvili, V G; Kawagoe, K; Kawamoto, T; Kayal, P I; Keeler, Richard K; Kellogg, R G; Kennedy, B W; Kim, D H; Klier, A; Kobayashi, T; Kobel, M; Kokott, T P; Kolrep, M; Komamiya, S; Kowalewski, R V; Kress, T; Krieger, P; Von Krogh, J; Kühl, T; Kupper, M; Kyberd, P; Lafferty, G D; Landsman, Hagar Yaël; Lanske, D; Lauber, J; Lawson, I; Layter, J G; Lellouch, Daniel; Letts, J; Levinson, L; Liebisch, R; Lillich, J; List, B; Littlewood, C; Lloyd, A W; Lloyd, S L; Loebinger, F K; Long, G D; Losty, Michael J; Lü, J; Ludwig, J; Macchiolo, A; MacPherson, A L; Mader, W F; Mannelli, M; Marcellini, S; Marchant, T E; Martin, A J; Martin, J P; Martínez, G; Mashimo, T; Mättig, P; McDonald, W J; McKenna, J A; McKigney, E A; McMahon, T J; McPherson, R A; Meijers, F; Méndez-Lorenzo, P; Merritt, F S; Mes, H; Meyer, I; Michelini, Aldo; Mihara, S; Mikenberg, G; Miller, D J; Mohr, W; Montanari, A; Mori, T; Nagai, K; Nakamura, I; Neal, H A; Nisius, R; O'Neale, S W; Oakham, F G; Odorici, F; Ögren, H O; Okpara, A N; Oreglia, M J; Orito, S; Pásztor, G; Pater, J R; Patrick, G N; Patt, J; Pérez-Ochoa, R; Petzold, S; Pfeifenschneider, P; Pilcher, J E; Pinfold, James L; Plane, D E; Poli, B; Polok, J; Przybycien, M B; Quadt, A; Rembser, C; Rick, Hartmut; Robins, S A; Rodning, N L; Roney, J M; Rosati, S; Roscoe, K; Rossi, A M; Rozen, Y; Runge, K; Runólfsson, O; Rust, D R; Sachs, K; Saeki, T; Sahr, O; Sang, W M; Sarkisyan-Grinbaum, E; Sbarra, C; Schaile, A D; Schaile, O; Scharff-Hansen, P; Schieck, J; Schmitt, S; Schöning, A; Schröder, M; Schumacher, M; Schwick, C; Scott, W G; Seuster, R; Shears, T G; Shen, B C; Shepherd-Themistocleous, C H; Sherwood, P; Siroli, G P; Skuja, A; Smith, A M; Snow, G A; Sobie, Randall J; Söldner-Rembold, S; Spagnolo, S; Sproston, M; Stahl, A; Stephens, K; Stoll, K; Strom, D; Ströhmer, R; Surrow, B; Talbot, S D; Taras, P; Tarem, S; Teuscher, R; Thiergen, M; Thomas, J; Thomson, M A; Torrence, E; Towers, S; Trefzger, T M; Trigger, I; Trócsányi, Z L; Tsur, E; Turner-Watson, M F; Ueda, I; Van Kooten, R; Vannerem, P; Verzocchi, M; Voss, H; Wäckerle, F; Waller, D; Ward, C P; Ward, D R; Watkins, P M; Watson, A T; Watson, N K; Wells, P S; Wengler, T; Wermes, N; Wetterling, D; White, J S; Wilson, G W; Wilson, J A; Wyatt, T R; Yamashita, S; Zacek, V; Zer-Zion, D

    2000-01-01T23:59:59.000Z

    The energy distribution and type of the particle with the highest momentum in quark jets are determined for each of the five quark flavours making only minimal model assumptions. The analysis is based on a large statistics sample of hadronic Z0 decays collected with the OPAL detector at the LEP e+e- collider. These results provide a basis for future studies of light flavour production at other centre-of-mass energies. We use our results to study the hadronisation mechanism in light flavour jets and compare the data to the QCD models JETSET and HERWIG. Within the JETSET model we also directly determine the suppression of strange quarks to be gamma_s=0.422+-0.049 (stat.)+-0.059 (syst.) by comparing the production of charged and neutral kaons in strange and non-strange light quark events. Finally we study the features of baryon production.

  1. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  2. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  3. Qualities That Define a Well-Designed Product

    E-Print Network [OSTI]

    Pirics, Marjorie

    2011-08-08T23:59:59.000Z

    The primary objective of this research is to identify the defining characteristics of “good design” as applied to Industrial Design and to determine what specific qualities it possesses. I assessed what qualities in a product serve as attractors...

  4. Changes in soil carbon and nitrogen associated with switchgrass production 

    E-Print Network [OSTI]

    Lobo Alonzo, Porfirio Jose

    2004-11-15T23:59:59.000Z

    Greater knowledge of the short- and long-term effects of biomass production practices on soil biological and chemical properties is needed to determine influences on sustainable land management. Soil samples under switchgrass ...

  5. Production of subject-verb agreement in Slovene and English 

    E-Print Network [OSTI]

    Harrison, Annabel Jane

    2009-11-26T23:59:59.000Z

    This thesis explores the mental representation of subject-verb agreement, and the factors that can affect the determination of agreement in language production. It reports nine experiments that used a task in which ...

  6. Effect of Combustion Air Preheat on a Forged Furnace Productivity

    E-Print Network [OSTI]

    Ward, M. E.; Bohn, J.; Davis, S. R.; Knowles, D.

    1984-01-01T23:59:59.000Z

    to determine are the effects of combustion air preheat on four additional furnace operating characteristics. These characteristics are: (1) fuel utilization of a furnace operating cycle; (2) time to heat the furnace load; (3) scale production; and (4) furnace...

  7. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    of Wisconsin-Milwaukee Submitted to the Electric Power Research Institute August 2009 UWM Center for By-Products-Strength Materials) for help in reducing global warming. Concrete mixtures having slump in the range of three to fourCenter for By-Products Utilization CARBON DIOXIDE SEQUESTRATION IN CEMENTITIOUS PRODUCTS By Tarun R

  8. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    combustion by-products #12;3 generated by using both conventional and clean-coal technologies. A clean-coal that obtained from clean-coal technology, are not utilized in cast-concrete masonry products (bricks, blocksCenter for By-Products Utilization RECENT ADVANCES IN RECYCLING CLEAN- COAL ASH By Tarun R. Naik

  9. Half-Product Codes

    E-Print Network [OSTI]

    Emmadi, Santosh Kumar

    2014-12-11T23:59:59.000Z

    A class of codes, half-product codes, derived from product codes, is characterized. These codes have the implementation advantages of product codes and possess a special structural property which leads them to have larger (at least 3/2 times more...

  10. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    of coal fly ash, coal bottom ash, and used foundry sand in concrete, bricks, blocks, and8 paving stones, Wisconsin. She is involved in management,11 disposal, and sale of coal-combustion by-products. She alsoCenter for By-Products Utilization UNDER-UTILIZED COAL-COMBUSTION PRODUCTS IN PERMEABLE ROADWAY

  11. MAIL DISTRIBUTION MAIL PRODUCTION

    E-Print Network [OSTI]

    MAIL DISTRIBUTION AND MAIL PRODUCTION OPERATIONS GUIDE November 07 Revised November 07 #12;2 Mail/billing......................................................................................1-5346 Mail Production of the University non-profit permit. 3. All bulk mailings must be coordinated with Mail Production at the earliest

  12. Strangeness Production at COSY

    E-Print Network [OSTI]

    Frank Hinterberger; Hartmut Machner; Regina Siudak

    2010-10-08T23:59:59.000Z

    The paper gives an overview of strangeness-production experiments at the Cooler Synchrotron COSY. Results on kaon-pair and phi meson production in pp, pd and dd collisions, hyperon-production experiments and Lambda p final-state interaction studies are presented.

  13. Success Story Production of

    E-Print Network [OSTI]

    Success Story Production of Chemicals from Biologically Derived Succinic Acid (BDSA) The BDSA, automobile bumpers, and an array of other industrial and consumer products. Known as the BDSA (Biologically it as a platform chemical to produce 1,4-butanediol (BDO) and related products, tetrahydrofuran and - butyrolactone

  14. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    Center for By-Products Utilization USE OF CLASS F FLY ASH AND CLEAN-COAL ASH BLENDS FOR CAST OF CLASS F FLYASHAND CLEAN-COAL ASHBLENDS FOR CAST CONCRETE PRODUCTS Authors: TarunR.Naik, Director, Center,Illinois Clean Coal Institute RudolphN.Kraus, Research Associate, UWM Center forBy-Products Utilization Shiw S

  15. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    Center for By-Products Utilization USE OF COAL-COMBUSTION PRODUCTS IN PERMEABLE PAVEMNET BASE and Published at the Raymundo Rivera International Symposium on Durability of Concrete, Monterrey, N. L., Mexico THE UNIVERSITY OF WISCONSIN­MILWAUKEE #12;Use of Coal-Combustion Products in Permeable Pavement Base1 2 3 4 5 6 7

  16. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    -fired power plants derive energy by burning coal in their furnaces. These power plants generally use either. The by-product materials include coal combustion by-products, wood ash, pulp and paper industry by recycling and research needs are discussed. #12;3 2.0 MATERIALS 2.1 COAL-COMBUSTION BY-PRODUCTS Coal

  17. By-Products Utilization

    E-Print Network [OSTI]

    Wisconsin-Milwaukee, University of

    combustion by-products (such as clean-coal ash) from power plants. Maximum recycling of such by- products regulations and increasing use of low-grade coal, the number of coal-fired power plants with flue gasCenter for By-Products Utilization USE OF CLEAN-COAL ASH FOR MANAGING ASR By Zichao Wu and Tarun R

  18. Coal production 1989

    SciTech Connect (OSTI)

    Not Available

    1990-11-29T23:59:59.000Z

    Coal Production 1989 provides comprehensive information about US coal production, the number of mines, prices, productivity, employment, reserves, and stocks to a wide audience including Congress, federal and state agencies, the coal industry, and the general public. 7 figs., 43 tabs.

  19. MECO Production Target Developments

    E-Print Network [OSTI]

    McDonald, Kirk

    be reoptimized Tungsten target Simulations of design parameters with GEANT3 indicate that both production targetMECO Production Target Developments James L. Popp University of California, Irvine NuFact'03 Columbia, June, 2003 #12;June, 2003J.L.Popp, UCI MECO Production Target 2 MECO Collaboration Institute

  20. CX-003099: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pennsylvania State University - Development of Rhodobacter as a Versatile Microbial Platform for Fuels ProductionCX(s) Applied: B3.6Date: 06/02/2010Location(s): PennsylvaniaOffice(s): Advanced Research Projects Agency - Energy

  1. CX-000652: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cardinal Glass - Photovoltaic Glass ProductionCX(s) Applied: B5.1Date: 01/27/2010Location(s): Portage, WisconsinOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  2. CX-010442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hyper Scratcher Tool: A Patented Oil, Gas, Disposal, & Injection Well Tool for Enhancing Production... CX(s) Applied: B3.7 Date: 06/19/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  3. CX-004086: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Farm Deployable Microbial Bioreactor for Fuel Ethanol ProductionCX(s) Applied: A9, B3.6Date: 09/29/2010Location(s): Montgomery, AlabamaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. CX-009557: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Recycling of Nutrients and Water in Algal Biofuels Production CX(s) Applied: A9, B3.6 Date: 12/10/2012 Location(s): California Offices(s): Golden Field Office

  5. CX-000196: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alternative Crops and Biofuels ProductionCX(s) Applied: A9Date: 11/19/2009Location(s): OklahomaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  6. CX-011103: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Scale-up of Algal Biofuel Production Using Waste Nutrients CX(s) Applied: A9 Date: 08/29/2013 Location(s): California Offices(s): Golden Field Office

  7. CX-012033: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Field Demonstration of a Novel Eco-Friendly Production Enhancement Process CX(s) Applied: A9, A11, B3.6 Date: 04/15/2014 Location(s): CX: none Offices(s): National Energy Technology Laboratory

  8. CX-012034: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Field Demonstration of a Novel Eco-Friendly Production Enhancement Process CX(s) Applied: A9, A11, B3.7 Date: 04/15/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  9. CX-012035: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Field Demonstration of a Novel Eco-Friendly Production Enhancement Process CX(s) Applied: A9, A11, B3.7 Date: 04/15/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  10. CX-012444: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geomechanical Monitoring for CO2 Hub Storage: Production and Injection at Kevin Dome CX(s) Applied: A9Date: 41878 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  11. CX-012438: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geomechanical Monitoring for CO2 Hub Storage: Production and Injection at Kevin Dome CX(s) Applied: A1, A9Date: 41878 Location(s): MontanaOffices(s): National Energy Technology Laboratory

  12. CX-011732: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SRI International -Direct Low-Cost Production of Titanium Alloys CX(s) Applied: B3.6 Date: 12/05/2013 Location(s): California Offices(s): Advanced Research Projects Agency-Energy

  13. CX-008967: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Phase Fluid Flow Simulation Assisted Exploration and Production of Hydrocarbons from Niobrara… CX(s) Applied: B3.1 Date: 08/02/2012 Location(s): South Dakota Offices(s): National Energy Technology Laboratory

  14. CX-008972: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Phase Fluid Flow Simulation Assisted Exploration and Production of Hydrocarbons from Niobrara… CX(s) Applied: B3.6 Date: 08/01/2012 Location(s): South Dakota Offices(s): National Energy Technology Laboratory

  15. CX-008971: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Phase Fluid Flow Simulation Assisted Exploration and Production of Hydrocarbons from Niobrara.. CX(s) Applied: A9 Date: 08/01/2012 Location(s): Virginia Offices(s): National Energy Technology Laboratory

  16. CX-008975: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Phase Fluid Flow Simulation Assisted Exploration and Production of Hydrocarbons from Niobrara… CX(s) Applied: B3.1 Date: 08/01/2012 Location(s): South Dakota Offices(s): National Energy Technology Laboratory

  17. CX-008974: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Phase Fluid Flow Simulation Assisted Exploration and Production of Hydrocarbons from Niobrara… CX(s) Applied: B3.1 Date: 08/01/2012 Location(s): South Dakota Offices(s): National Energy Technology Laboratory

  18. CX-008968: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Phase Fluid Flow Simulation Assisted Exploration and Production of Hydrocarbons from Niobrara… CX(s) Applied: B3.1 Date: 08/02/2012 Location(s): South Dakota Offices(s): National Energy Technology Laboratory

  19. CX-009383: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hybrid Rotor Compression for Multiphase and Liquids-Rich Wellhead Production Applications (Summary CX) CX(s) Applied: A9, B3.6 Date: 09/14/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory

  20. CX-002638: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    New York Center for Advanced Ferrite ProductionCX(s) Applied: B5.1Date: 06/09/2010Location(s): Ogdensburg, New YorkOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  1. CX-011483: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bioprocessing for Bioremediation and Energy Production CX(s) Applied: B3.6 Date: 11/06/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  2. CX-009846: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Petrophysics/Tight Rock Characterization for Improved Stimulation and Production Technology in Shales CX(s) Applied: A9, B3.6 Date: 01/30/2013 Location(s): Alabama Offices(s): National Energy Technology Laboratory

  3. CX-011737: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Technology Institute - Dual Electrolyte Extraction Electro-Refinery for Aluminum Production CX(s) Applied: B3.6 Date: 10/23/2013 Location(s): Illinois Offices(s): Advanced Research Projects Agency-Energy

  4. CX-011043: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: A9 Date: 09/10/2013 Location(s): Maryland Offices(s): National Energy Technology Laboratory

  5. CX-010626: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Investigate Production of Commodity Chemicals using Carbon Dioxide and Carbon Feedstocks Including Methane CX(s) Applied: A9, B3.6 Date: 07/12/2013 Location(s): North Carolina Offices(s): National Energy Technology Laboratory

  6. CX-011020: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost High-H2 Syngas Production for Power and Liquid Fuels CX(s) Applied: B3.6 Date: 09/11/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  7. CX-010960: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chemical Looping Gasification for Hydrogen Enhanced Syngas Production with In-Situ Carbon Dioxide (CO2) Capture CX(s) Applied: A9 Date: 09/16/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  8. CX-012460: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology for Greenhouse Gas Emission Reduction & Cost Competitiveness of Mil-Spec Jet Fuel Production Using CTL CX(s) Applied: B3.6Date: 41877 Location(s): AlabamaOffices(s): National Energy Technology Laboratory

  9. CX-012462: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology for Greenhouse Gas Emission Reduction & Cost Competitiveness of Mil-Spec Jet Fuel Production Using CTL CX(s) Applied: B3.6Date: 41877 Location(s): UtahOffices(s): National Energy Technology Laboratory

  10. CX-012404: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancing Coal Catalytic Gasification to Promote Optimum Syngas Production CX(s) Applied: B3.6Date: 41884 Location(s): UtahOffices(s): National Energy Technology Laboratory

  11. CX-012295: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hyper Scratcher Tool: A Patented Oil, Gas, Disposal, & Injection Well Tool for Enhancing Production CX(s) Applied: B3.7 Date: 06/03/2014 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  12. CX-012296: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hyper Scratcher Tool: A Patented Oil, Gas, Disposal, & Injection Well Tool for Enhancing Production CX(s) Applied: B3.7 Date: 06/03/2014 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  13. CX-002256: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    From Algae to Oilgae: In Situ Studies of the Factors Controlling Growth, Oil Production, and Oil ExCX(s) Applied: B3.6Date: 03/20/2010Location(s): CaliforniaOffice(s): Sandia Site Office

  14. CX-007717: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Arcadia Biosciences, Inc. - Vegetative Production of Oil in a C4 Crop CX(s) Applied: B3.6 Date: 11/21/2011 Location(s): California Offices(s): Advanced Research Projects Agency-Energy

  15. CX-010216: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Design and Optimization of a Biochemical Production Platform with Biosensor-guided Synthetic Evolution CX(s) Applied: A9, B3.6 Date: 02/28/2013 Location(s): California Offices(s): Golden Field Office

  16. CX-001964: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Biofuel Production TechnologyCX(s) Applied: B5.1Date: 02/19/2010Location(s): WisconsinOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  17. CX-010937: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hybrid Molten Bed Gasifier for Production of High Hydrogen Syngas CX(s) Applied: A9 Date: 09/17/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  18. CX-010936: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hybrid Molten Bed Gasifier for Production of High Hydrogen Syngas CX(s) Applied: A9, B3.6 Date: 09/17/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  19. CX-012459: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Design/Cost Study and Commercialization Analysis for Synthetic Jet Fuel Production CX(s) Applied: A8, A9, A11Date: 41877 Location(s): PennsylvaniaOffices(s): National Energy Technology Laboratory

  20. CX-012452: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Design/Cost Study and Commercialization Analysis for Synthetic Jet Fuel Production CX(s) Applied: A8, A9, A11Date: 41877 Location(s): New JerseyOffices(s): National Energy Technology Laboratory

  1. CX-009845: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Petrophysics/Tight Rock Characterization for Improved Stimulation and Production Technology in Shales CX(s) Applied: A9, B3.6 Date: 01/30/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  2. CX-009844: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Petrophysics/Tight Rock Characterization for Improved Stimulation and Production Technology in Shales CX(s) Applied: A9, B3.6 Date: 01/30/2013 Location(s): Alabama Offices(s): National Energy Technology Laboratory

  3. CX-010491: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sludge Batch 8 (SB8) Waste Acceptance Product Specifications (WAPS) CX(s) Applied: B3.6 Date: 05/21/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  4. CX-003608: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sustainable Algal Energy Production and Environmental RemediationCX(s) Applied: A9, B3.6Date: 08/25/2010Location(s): VirginiaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  5. CX-010235: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Large-Scale Production of Fuels and Feed from Marine Microalgae CX(s) Applied: A9, B3.6 Date: 02/14/2013 Location(s): New York Offices(s): Golden Field Office

  6. CX-003977: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Large Scale Production of Fuels and Feeds from Marine MicroalgaeCX(s) Applied: A9, B3.6Date: 09/22/2010Location(s): HawaiiOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  7. CX-012427: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alaska Hydrate Production Testing: Test Site Selection and Characterization CX(s) Applied: A1, A9Date: 41879 Location(s): ColoradoOffices(s): National Energy Technology Laboratory

  8. Innovation flow through social networks: Productivity distribution

    E-Print Network [OSTI]

    T. Di Matteo; T. Aste; M. Gallegati

    2004-06-19T23:59:59.000Z

    A detailed empirical analysis of the productivity of non financial firms across several countries and years shows that productivity follows a non-Gaussian distribution with power law tails. We demonstrate that these empirical findings can be interpreted as consequence of a mechanism of exchanges in a social network where firms improve their productivity by direct innovation or/and by imitation of other firm's technological and organizational solutions. The type of network-connectivity determines how fast and how efficiently information can diffuse and how quickly innovation will permeate or behaviors will be imitated. From a model for innovation flow through a complex network we obtain that the expectation values of the productivity level are proportional to the connectivity of the network of links between firms. The comparison with the empirical distributions reveals that such a network must be of a scale-free type with a power-law degree distribution in the large connectivity range.

  9. CODIMENSION 2 CYCLES ON PRODUCTS OF PROJECTIVE HOMOGENEOUS SURFACES

    E-Print Network [OSTI]

    * *ary field F reduces to computing its torsion subgroup. For codimension d 1, the Chow group CH d provide general bounds for the torsion* * in the codi- mension 2 Chow groups of the products of projective homogeneous surfaces* *. In particular, we determine the torsion for the product of four

  10. Determination

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

    consisting of AZ road dust and soot in acetonitrile carrier solvent was sprayed onto glass coupons at very brief intervals with a high volume, low pressure pneumatic sprayer....

  11. Product development practices that matter

    E-Print Network [OSTI]

    Gupta, Nisheeth

    2010-01-01T23:59:59.000Z

    Product Development consists of activities to transforms a market opportunity and technological innovation into successful products. Several waves of improvements in technological innovation and product development have ...

  12. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, C.M.; Pickett, J.B.; Brown, K.G.; Edwards, T.B.

    1998-12-08T23:59:59.000Z

    A process is described for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, {Delta}G{sub p}, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, {Delta}G{sub a}, based upon the free energy associated with weak acid dissociation, {Delta}G{sub a}{sup WA}, and accelerated matrix dissolution at high pH, {Delta}G{sub a}{sup SB} associated with solution strong base formation, and determining a final hydration free energy, {Delta}G{sub f}. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log{sub 10}(N C{sub i}(g/L))=a{sub i} + b{sub i}{Delta}G{sub f}. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained. 4 figs.

  13. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, Carol Maryanne (Aiken, SC); Pickett, John Butler (Aiken, SC); Brown, Kevin George (Augusta, GA); Edwards, Thomas Barry (Aiken, SC)

    1998-01-01T23:59:59.000Z

    A process for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, .DELTA.G.sub.p, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, .DELTA.G.sub.a, based upon the free energy associated with weak acid dissociation, .DELTA.G.sub.a.sup.WA, and accelerated matrix dissolution at high pH, .DELTA.G.sub.a.sup.SB associated with solution strong base formation, and determining a final hydration free energy, .DELTA.G.sub.f. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log.sub.10 (N C.sub.i (g/L))=a.sub.i +b.sub.i .DELTA.G.sub.f. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained.

  14. Economics of electricity production and distribution in rural areas of Nepal

    SciTech Connect (OSTI)

    Rijal, K.; Bansal, N.K.; Grover, P.D. (Center for Energy Studies, Indian Inst. of Technology, Hauz Khas, New Delhi 110016 (IN))

    1990-01-01T23:59:59.000Z

    This paper aims at providing the comparative economics from a national perspective (economic analysis) and a users perspective (financial analysis) of low capacity (5-15 KW) electrical add-on systems and medium capacity (25-50 KW) electrical systems to provide electrical energy from various energy sources at three villages of Nepal, each from a different physiographic zone. In general, the increasing economic price of traditional energies coupled with deforestation in rural areas of developing countries and the increasing need for foreign exchange for import of fossil fuels, favors the judicial exploitation of renewable energy for electricity generation. The load factor is one of the most important factors that dictate the economic and financial supply price of electricity production and distribution. It is recommended that a detailed site-specific electricity demand analysis be carried out with appropriate end-use planning for decentralized rural electrification schemes.

  15. Multi-Period Production Capacity Planning for Integrated Product and Production System Design*

    E-Print Network [OSTI]

    Saitou, Kazuhiro "Kazu"

    Multi-Period Production Capacity Planning for Integrated Product and Production System Design* Emre.ac.uk kazu@umich.edu .Abstract ­ This paper presents a simulation-based method to aid multi-period production capacity planning by quantifying the trade-off between product quality and production cost. The product

  16. Relaxations for Production Planning Problems with Increasing By-products

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Relaxations for Production Planning Problems with Increasing By-products Srikrishna Sridhar, Jeff, James Leudtke SILO Seminars: Feb 1, 2012 #12;One slide summary Problem Description Production process involves desirable & undesirable products. Srikrishna Sridhar, Jeff Linderoth, James Leudtke SILO Seminars

  17. Diagram of the Biofuel Production Process (SPORL -Alcohol Production):Introduction: The Northwest Advanced Renewables Alliance (NARA) is an organization

    E-Print Network [OSTI]

    Collins, Gary S.

    Diagram of the Biofuel Production Process (SPORL - Alcohol Production):Introduction: The Northwest Advanced Renewables Alliance (NARA) is an organization that aims to create a sustainable aviation biofuels to determine the atmospheric emissions and emission sources that may be released from proposed NARA biofuels

  18. Determination of fluid viscosities from biconical annular geometries: Experimental and modeling studies

    E-Print Network [OSTI]

    Rondon, Nolys Javier

    2009-05-15T23:59:59.000Z

    Knowledge of viscosity of flow streams is essential for the design and operation of production facilities, drilling operations and reservoir engineering calculations. The determination of the viscosity of a reservoir fluid at downhole conditions...

  19. Determining timescales of natural carbonation of peridotite in the Samail Ophiolite, Sultanate of Oman

    E-Print Network [OSTI]

    Mervine, Evelyn Martinique

    2012-01-01T23:59:59.000Z

    Determining timescales of the formation and preservation of carbonate alteration products in mantle peridotite is important in order to better understand the role of this potentially important sink in the global carbon ...

  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

    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-

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

    SciTech Connect (OSTI)

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

    2014-02-01T23:59:59.000Z

    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.

  2. 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

  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

    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

  4. 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).

  5. 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 ...

  6. 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

  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

    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

  8. 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...

  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

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

  10. 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

  11. 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

  12. 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

  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

    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

  14. 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.

  15. 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

  16. 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...

  17. 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

  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

    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

  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

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

  20. 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

  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

    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

  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

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

  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

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

  4. 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

  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

    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

  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 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

  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

    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,

  8. 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)

  9. 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

  10. 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

  11. 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

  12. 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

  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

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

  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

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

  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

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

  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

    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

  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

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

  18. 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

  19. 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

  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

    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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  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

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

  7. 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

  8. 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

  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

    ~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/

  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

    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

  11. ,"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

  12. ,"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

  13. ,"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

  14. ,"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+

  15. ,"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

  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"