National Library of Energy BETA

Sample records for determine end-use product

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

    SciTech Connect (OSTI)

    Not Available

    1980-10-01

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

  2. Energy balances in the production and end-use of methanol derived from coal

    SciTech Connect (OSTI)

    1980-12-10

    Analysis is performed for three combinations of fuels, specifically: net petroleum gain (petroleum only); net premium fuel gain (natural gas and petroleum); and net energy gain (includes all fuels; does not include free energy from sun). The base case selected for evaluation was that of an energy-efficient coal-to-methanol plant located in Montana/Wyoming and using the Lurgi conversion process. The following variations of the base coal-methanol case are also analyzed: gasoline from coal with methanol as an intermediate step (Mobil-M); and methanol from coal (Texaco gasification process). For each process, computations are made for the product methanol as a replacement for unleaded gasoline in a conventional spark ignition engine and as a chemical feedstock. For the purpose of the energy analysis, computations are made for three situations regarding mileage of methanol/ gasoline compared to that of regular unleaded gasoline: mileage of the two fuels equal, mileage 4 percent better with gasohol, and mileage 4 percent worse with gasohol. The standard methodology described for the base case applies to all of the variations.

  3. 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.

    2004-09-25

    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).

  4. Biomass Resource Allocation among Competing End Uses

    SciTech Connect (OSTI)

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

    2012-05-01

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

  5. End-use taxes: Current EIA practices

    SciTech Connect (OSTI)

    Not Available

    1994-08-17

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

  6. Preliminary CBECS End-Use Estimates

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

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

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

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

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

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

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

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

  9. Biomass Resource Allocation among Competing End Uses

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

    Biomass Resource Allocation among Competing End Uses Emily Newes, Brian Bush, Daniel Inman, Yolanda Lin, Trieu Mai, Andrew Martinez, David Mulcahy, Walter Short, Travis Simpkins, and Caroline Uriarte National Renewable Energy Laboratory Corey Peck Lexidyne, LLC Technical Report NREL/TP-6A20-54217 May 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable

  10. Healthcare Energy End-Use Monitoring

    SciTech Connect (OSTI)

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

    2014-08-01

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

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

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

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

  12. Realizing Building End-Use Efficiency with Ermerging Technologies

    Broader source: Energy.gov [DOE]

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

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

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

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

  14. Engineered Products: Noncompliance Determination (2012-SE-5401)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Engineered Products Company finding that basic model 15701 of metal halide lamp fixture does not comport with the energy conservation standards.

  15. United States Industrial Sector Energy End Use Analysis

    SciTech Connect (OSTI)

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

    2012-05-11

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

  16. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.

    2010-04-09

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

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

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

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

  18. End Use and Fuel Certification | Department of Energy

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

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

  19. Energy End-Use Intensities in Commercial Buildings

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

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

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

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

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

  1. Energy End-Use Intensities in Commercial Buildings 1989

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

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

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

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

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

  3. End-Use Sector Flowchart | Department of Energy

    Office of Environmental Management (EM)

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

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

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

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

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

    Broader source: Energy.gov [DOE]

    The Department of Energy has published a supplemental proposed determination regarding miscellaneous residential refrigeration products.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  14. Energy End-Use Intensities in Commercial Buildings

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

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

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

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

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

  16. Distribution Infrastructure and End Use | Department of Energy

    Office of Environmental Management (EM)

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

  17. Refining and End Use Study of Coal Liquids

    SciTech Connect (OSTI)

    1997-10-01

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

  18. Energy end-use intensities in commercial buildings

    SciTech Connect (OSTI)

    Not Available

    1994-09-01

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

  19. DOE Issues Proposed Coverage Determination for Hearth Products

    Broader source: Energy.gov [DOE]

    The Department of Energy has issued a pre-publication Federal Register notice of proposed determination regarding energy conservation standards for hearth products.

  20. Driving Biofuels End Use: BETO/VTO Collaborations

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

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

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

    SciTech Connect (OSTI)

    Hart, Philip R.; Xie, YuLong

    2015-02-05

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

  2. End-Use Sector Flowcharts, Energy Intensity Indicators

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

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

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

    SciTech Connect (OSTI)

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

    2006-06-01

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

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

    SciTech Connect (OSTI)

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

    2009-03-30

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

  5. End use energy consumption data base: transportation sector

    SciTech Connect (OSTI)

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

    1980-02-01

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

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

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

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

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

    Broader source: Energy.gov [DOE]

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

  8. Advanced Distributor Products: Noncompliance Determination (2010-SE-0304)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Advanced Distributor Products finding that basic model N2H348A(G)KB* + H,GE50560 + *8MPV125 and basic model N2H360A(G)KB* + H,GE50560 + MV16J22**B* do not comport with the energy conservation standards.

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

    DOE Patents [OSTI]

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

    1987-08-31

    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.

  10. ISSUANCE 2016-02-26: Energy Conservation Program for Consumer Products and Certain Commercial and Industrial Equipment: Supplemental Proposed Determination of Miscellaneous Refrigeration Products as Covered Products

    Broader source: Energy.gov [DOE]

    Energy Conservation Program for Consumer Products and Certain Commercial and Industrial Equipment: Supplemental Proposed Determination of Miscellaneous Refrigeration Products as Covered Products

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

    Reports and Publications (EIA)

    2007-01-01

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

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

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

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

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

    SciTech Connect (OSTI)

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

    2008-07-31

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Office of Environmental Management (EM)

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

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

    SciTech Connect (OSTI)

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

    1992-03-01

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

  15. Determination of alternative fuels combustion products: Phase 1 report

    SciTech Connect (OSTI)

    Whitney, K.A.

    1997-09-01

    This report describes the laboratory effort to identify and quantify organic exhaust species generated from alternative-fueled light-duty vehicles operating over the Federal Test Procedure on compressed natural gas, liquefied petroleum gas, methanol, ethanol, and reformulated gasoline. The exhaust species from these vehicles were identified and quantified for fuel/air equivalence ratios of 0.8, 1.0, and 1.2, nominally, and were analyzed with and without a vehicle catalyst in place to determine the influence of a catalytic converter on species formation.

  16. Determination of alternative fuels combustion products: Phase 2 final report

    SciTech Connect (OSTI)

    Whitney, K.A.

    1997-06-01

    This report describes the laboratory efforts to accomplish four independent tasks: (1) speciation of hydrocarbon exhaust emissions from a light-duty vehicle operated over the chassis dynamometer portion of the light-duty FTP after modifications for operation on butane and butane blends; (2) evaluation of NREL`s Variable Conductance Vacuum Insulated Catalytic Converter Test Article 4 for the reduction of cold-start FTP exhaust emissions after extended soak periods for a Ford FFV Taurus operating on E85; (3) support of UDRI in an attempt to define correlations between engine-out combustion products identified by SwRI during chassis dynamometer testing, and those found during flow tube reactor experiments conducted by UDRI; and (4) characterization of small-diameter particulate matter from a Ford Taurus FFV operating in a simulated fuel-rich failure mode on CNG, LPG, M85, E85, and reformulated gasoline. 22 refs., 18 figs., 17 tabs.

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

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

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

  18. Determination of alternative fuels combustion products: Phase 3 report

    SciTech Connect (OSTI)

    Whitney, K.A.

    1997-12-01

    This report describes the laboratory efforts to characterize particulate and gaseous exhaust emissions from a passenger vehicle operating on alternative fuels. Tests were conducted at room temperature (nominally 72 F) and 20 F utilizing the chassis dynamometer portion of the FTP for light-duty vehicles. Fuels evaluated include Federal RFG, LPG meeting HD-5 specifications, a national average blend of CNG, E85, and M85. Exhaust particulate generated at room temperature was further characterized to determine polynuclear aromatic content, trace element content, and trace organic constituents. For all fuels except M85, the room temperature particulate emission rate from this vehicle was about 2 to 3 mg/mile. On M85, the particulate emission rate was more than 6 mg/mile. In addition, elemental analysis of particulate revealed an order of magnitude more sulfur and calcium from M85 than any other fuel. The sulfur and calcium indicate that these higher emissions might be due to engine lubricating oil in the exhaust. For RFG, particulate emissions at 20 F were more than six times higher than at room temperature. For alcohol fuels, particulate emissions at 20 F were two to three times higher than at room temperature. For CNG and LPG, particulate emissions were virtually the same at 72 F and 20 F. However, PAH emissions from CNG and LPG were higher than expected. Both gaseous fuels had larger amounts of pyrene, 1-nitropyrene, and benzo(g,h,i)perylene in their emissions than the other fuels.

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

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

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

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

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

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

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

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

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

  2. 2014-02-21 Issuance: Proposed Determination of Computer Servers as a Covered Consumer Product; Withdrawal

    Broader source: Energy.gov [DOE]

    This document is a pre-publication Federal Register notice 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 21, 2014.

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

    SciTech Connect (OSTI)

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

    2012-12-01

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

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

    SciTech Connect (OSTI)

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

    2007-11-27

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

  5. Determination of combustion products from alternative fuels. Part I. LPG and CNG combustion products

    SciTech Connect (OSTI)

    Whitney, K.A.; Bailey, B.K.

    1994-10-01

    This paper describes efforts underway to identify volatile organic exhaust species generated by a light-duty vehicle operating over the Federal Test Procedure (FTP) on CNG and LPG, and to compare them to exhaust constituents generated from the same vehicle operating on a fuel blended to meet California Phase 2 specifications. The exhaust species from this vehicle were identified and quantified for fuel/air equivalence ratios of 0.8, 1.0, and 1.2 nominally, and were analyzed with and without the vehicle`s catalytic converter in place to determine the influence of the vehicle`s catalyst on species formation. 4 refs., 3 figs., 14 tabs.

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

    SciTech Connect (OSTI)

    Sezgen, O.; Koomey, J.G.

    1995-12-01

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

  7. Determination of combustion products from alternative fuels - part 1. LPG and CNG combustion products

    SciTech Connect (OSTI)

    Whitney, K.A.; Bailey, B.K.

    1994-10-01

    This paper describes efforts underway to identify volatile organic exhaust species generated by a light-duty vehicle operating over the Federal Test Procedure (FTP) on CNG and LPG, and to compare them to exhaust constituents generated from the same vehicle operating on a fuel blended to meet California Phase 2 specifications. The exhaust species from this vehicle were identified and quantified for fuel/air equivalence ratios of 0.8, 1.0, and 1.2, nominally, and were analyzed with and without the vehicle`s catalytic converter in place to determine the influence of the vehicle`s catalyst on species formation. Speciation data showed greater than 87 percent of all LPG and greater than 95 percent of all CNG hydrocarbon exhaust constituents to be composed of C{sub 1} to C{sub 3} compounds. In addition, toxic emissions from the combustion of CNG and LPG were as low as 10 percent of those generated by combustion of gasoline. A comparison of ozone forming potential of the three fuels was made based on the Maximum Incremental Reactivity scale used by the California Air Resources Board. Post-catalyst results from stoichiometric operation indicated that LPG and CNG produced 63 percent and 88 percent less potential ozone than reformulated gasoline, respectively. On average over all equivalence ratios, CNG and LPG exhaust constituents were approximately 65 percent less reactive than those from reformulated gasoline. 4 refs., 3 figs., 14 tabs.

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

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Determination of {sup 140}La fission product interference factor for INAA

    SciTech Connect (OSTI)

    Ribeiro Jr, Iber S.; Genezini, Frederico A.; Saiki, Mitiko; Zahn, Guilherme S.

    2014-11-11

    Instrumental Neutron Activation Analysis (INAA) is a technique widely used to determine the concentration of several elements in several kinds of matrices. However if the sample of interest has higher relative uranium concentration the obtained results can be interfered by the uranium fission products. One of these cases that is affected by interference due to U fission is the {sup 140}La, because this radioisotope used in INAA for the determination of concentration the La is also produced by the {sup ?}? of {sup 140}Ba, an uranium fission product. The {sup 140}La interference factor was studied in this work and a factor to describe its time dependence was obtained.

  12. SUPPLEMENT ANALYSIS DETERMINATION The Department of Energy (DOE), National Nuclear Security Administration (NNSA) Production Office

    Energy Savers [EERE]

    DETERMINATION The Department of Energy (DOE), National Nuclear Security Administration (NNSA) Production Office Pantex (NPO) has prepared a Supplement Analysis (SA) to determine whether the Final Environmental Impact Statement for the Continued Operation of the Pantex Plant and Associated Storage of Nuclear Weapon Components, also known as the Site-Wide Environmental Impact Statement (SWEIS), adequately addresses the environmental impacts of continued Pantex Plant operations, or if additional

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  14. 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.

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

    SciTech Connect (OSTI)

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

    1994-05-01

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

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

    SciTech Connect (OSTI)

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

    1998-07-01

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

  17. 1980 survey and evaluation of utility conservation, load management, and solar end-use projects. Volume 3: utility load management projects. Final report

    SciTech Connect (OSTI)

    Not Available

    1982-01-01

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

  18. Results of Scoping Studies for Determining Radiolytic Hydrogen Production from Moist CST and CST Slurries

    SciTech Connect (OSTI)

    Bibler, N.E.

    1998-12-11

    In support of the Salt Disposition team, scoping studies have been performed on the radiolysis of moist and aqueous slurries of Crystalline Silicotitanate(CST). If CST is used for removal of Cs-137 from SRS salt solutions, radiolysis of the water by Cs-137 on the CST will produce H2. Also it has been shown that the presence of a solid in the system can enhance the production of H2 by transferring absorbed energy from the solid to the water (1). As indicated in the test plan (2) for this scoping study, it is the intent of this study to determine if CST enhances the radiolytic production of H2 and to estimate the radiolytic hydrogen generation rate from an aqueous CST slurry in a column at the maximum expected Cs-137 loading on the CST.Initially several CST slurry systems were irradiated with Co-60 gamma rays and the radiolytic yield of H2 measured in terms of its G value (molecules of H2 produced per 100 eV of energy absorbed). Based on the results of these tests it was determined that CST did not enhance the radiolytic production of H2 by transferring energy to the water and causing it to decompose.Calculations were then performed to estimate the rate of H2 production from a process column 16ft. long by 5ft. in diameter containing CST that was fully loaded with Cs-137. The maximum rate of H2 production based on the G values measured in this study was one liter per minute at STP (0.04 cfm). This was for a 63 percent water/CST slurry with a G value of 0.2 molecules/100eV for H2 production and a loading of 1 gram of Cs-137 per 100 grams of resin. The present work also indicates that for a column containing salt solution and CST rather than water and CST, the rate would be 4X lower. This lower value is much more realistic.

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

    SciTech Connect (OSTI)

    Ferraro, R.J.; McConnell, B.W.

    1993-06-01

    The overall objective of this project was to determine the state-of-the-art and to what extent existing SMES is a viable option in meeting the needs of utilities and their customers for improving electric service power quality. By defining and analyzing SMES electrical/mechanical performance characteristics, and comparing SMES application benefits with competitive stored energy systems, industry will be able to determine SMES unique applications and potential market penetration. Building on this information base, it would also be possible to evaluate the impact of high temperature superconductors (77 K and 20-35 K) on SMES technology applications. The authors of this report constructed a network of industry contacts and research consultants that were used to collect, update, and analyze ongoing SMES R&D and marketing activities in industries, utilities, and equipment manufacturers. These key resources were utilized to assemble performance characteristics on existing SMES, battery, capacitor, flywheel, and high temperature superconductor (HTS) stored energy technologies. From this information, preliminary stored energy system comparisons were accomplished. In this way, the electric load needs would be readily comparable to the potential solutions and applications offered by each aforementioned energy storage technology.

  20. End Uses Mechanical Properties Settled By The Modified Sintering Conditions Of The Metal Injection Molding Process

    SciTech Connect (OSTI)

    Marray, Tarek [Laboratoire Materiaux, ECAM, 40 montee Saint Barthelemy, 69321, Lyon, Cedex 05 (France); Arts et Metiers ParisTech, MecaSurf Laboratory (EA 4496), 2, Cours des Arts et Metiers, 13617 Aix en Provence (France); Jaccquet, Philippe; Moinard-Checot, Delphine [Laboratoire Materiaux, ECAM, 40 montee Saint Barthelemy, 69321, Lyon, Cedex 05 (France); Arts et Metiers ParisTech, LaBoMaP, Rue Porte de Paris, 71250 CLUNY (France); Fabre, Agnes; Barrallier, Laurent [Arts et Metiers ParisTech, MecaSurf Laboratory (EA 4496), 2, Cours des Arts et Metiers, 13617 Aix en Provence (France)

    2011-01-17

    Most common mechanical applications require parts with specific properties as hard faced features. It is well known that treating parts under suitable atmospheres may improve hardness and strength yield of steels. Heat treatment process and more particularly thermo-chemical diffusion processes (such as carburizing or its variation: carbonitriding) can be performed to reach the industrial hardness profile requirements. In this work, a low-alloyed steel feedstock based on water soluble binder system is submitted to the MIM process steps (including injection molding, debinding and sintering). As-sintered parts are then treated under a low pressure carbonitriding treatment. This contribution focuses on preliminary results such as microstructural analyses and mechanical properties which are established at each stage of the process to determine and monitor changes.

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

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

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

  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.

    1995-12-01

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

  3. ``Sleeping reactor`` irradiations: Shutdown reactor determination of short-lived activation products

    SciTech Connect (OSTI)

    Jerde, E.A.; Glasgow, D.C.

    1998-09-01

    At the High-Flux Isotope Reactor (HFIR) at the Oak Ridge National Laboratory, the principal irradiation system has a thermal neutron flux ({phi}) of {approximately} 4 {times} 10{sup 14} n/cm{sup 2} {center_dot} s, permitting the detection of elements via irradiation of 60 s or less. Irradiations of 6 or 7 s are acceptable for detection of elements with half-lives of as little as 30 min. However, important elements such as Al, Mg, Ti, and V have half-lives of only a few minutes. At HFIR, these can be determined with irradiation times of {approximately} 6 s, but the requirement of immediate counting leads to increased exposure to the high activity produced by irradiation in the high flux. In addition, pneumatic system timing uncertainties (about {+-} 0.5 s) make irradiations of < 6 s less reliable. Therefore, the determination of these ultra-short-lived species in mixed matrices has not generally been made at HFIR. The authors have found that very short lived activation products can be produced easily during the period after reactor shutdown (SCRAM), but prior to the removal of spent fuel elements. During this 24- to 36-h period (dubbed the ``sleeping reactor``), neutrons are produced in the beryllium reflector by the reaction {sup 9}Be({gamma},n){sup 8}Be, the gamma rays principally originating in the spent fuel. Upon reactor SCRAM, the flux drops to {approximately} 1 {times} 10{sup 10} n/cm{sup 2} {center_dot} s within 1 h. By the time the fuel elements are removed, the flux has dropped to {approximately} 6 {times} 10{sup 8}. Such fluxes are ideal for the determination of short-lived elements such as Al, Ti, Mg, and V. An important feature of the sleeping reactor is a flux that is not constant.

  4. " Row: End Uses;"

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

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

  5. " Row: End Uses;"

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

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

  6. " Row: End Uses;"

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

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

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

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

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

  8. " Row: End Uses;" " ...

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

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

  9. " Row: End Uses;"

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

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

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

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

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

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

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

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

  12. " Row: End Uses;" " ...

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

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

  13. " Row: End Uses;"

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

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

  14. " Row: End Uses;"

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

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

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

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

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

  16. " Row: End Uses;" " ...

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

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

  17. " Row: End Uses;"

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

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

  18. " Row: End Uses;" " ...

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

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

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

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

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

  20. Determination

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

    Determination of a Minimum Soiling Level to Affect Photovoltaic Devices Patrick D. Burton and Bruce H. King Sandia National Laboratories, Albuquerque, NM 87185 USA pdburto@sandia.gov Abstract-Soil accumulation on photovoltaic (PV) modules presents a challenge to long-term performance prediction and lifetime estimates due to the inherent difficulty in quantifying small changes over an extended period. Low mass loadings of soil are a common occurrence, but remain difficult to quantify. In order to

  1. Cost guide. Volume 2. Standard procedures for determining revenue requirements (product cost)

    SciTech Connect (OSTI)

    Not Available

    1982-06-01

    The DOE has conducted economic analyses of alternative energy projects over the past several years which compared emerging technologies to conventional technologies and also to competing emerging technologies. The method used was to determine and compare the product costs of the technologies being assessed. A review of the application of this product cost technique over the past few years revealed that slightly different financial assumptions, economic factors, and scope were used. Therefore, it is not meaningful to compare results. Consistent comparison of the economic benefits of programs and projects being evaluated by DOE is essential to accomplish the assigned missions and functions. The process of reviewing much of the work accomplished by DOE and its support contractors failed to disclose a single source document or methodology which had potential application across the full range of DOE interests. However, the 1981 version of the Technical Assessment Guide published by the Electric Power Research Institute (EPRI) appears to have all of the necessary elements, economic factors, assumptions, and cost performance information necessary to meet the DOE's needs. A review of the document indicates that the methodology described by EPRI can be applied to almost any energy project so long as appropriate business and financial assumptions are made.The financial and business assumptions presented in EPRI technical report P-2410-SR are typical of the electric utility industry. Moreover, using a methodology already widely accepted by the utility industry, DOE can help reduce proliferation of different methods and promote the adoption of a standard. This guide presents a summary of the methodology, data on fuel price projections, and cost and performance information for transmission and generation technologies, and reflects an explanation of the economic methodology to include sample problems.

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

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

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

  3. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  4. 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.

  5. 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.

  6. 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.

    2007-03-01

    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.

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

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

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

  8. Alternative Strategies for Low-Pressure End Uses; Industrial Technologies Program (ITP) Compressed Air Tip Sheet #11 (Fact Sheet)

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

    1 * August 2004 Industrial Technologies Program Suggested Actions * Review the compressed air applications to determine which ones are valid high-pressure and which ones can operate at lower pressures. The ones that can operate at low pressure could be supported with alternative methods. * Consider a professional compressed air system evaluation. Such an exam could determine what applications could be served more effciently and which appropriate alternative applications could replace them.

  9. Intracellular L-arginine concentration does not determine NO production in endothelial cells: Implications on the 'L-arginine paradox'

    SciTech Connect (OSTI)

    Shin, Soyoung; Mohan, Srinidi; Fung, Ho-Leung

    2011-11-04

    Highlights: Black-Right-Pointing-Pointer Our findings provide a possible solution to the 'L-arginine paradox'. Black-Right-Pointing-Pointer Extracellular L-arginine concentration is the major determinant of NO production. Black-Right-Pointing-Pointer Cellular L-arginine action is limited by cellular ARG transport, not the K{sub m} of NOS. Black-Right-Pointing-Pointer We explain how L-arginine supplementation can work to increase endothelial function. -- Abstract: We examined the relative contributory roles of extracellular vs. intracellular L-arginine (ARG) toward cellular activation of endothelial nitric oxide synthase (eNOS) in human endothelial cells. EA.hy926 human endothelial cells were incubated with different concentrations of {sup 15}N{sub 4}-ARG, ARG, or L-arginine ethyl ester (ARG-EE) for 2 h. To modulate ARG transport, siRNA for ARG transporter (CAT-1) vs. sham siRNA were transfected into cells. ARG transport activity was assessed by cellular fluxes of ARG, {sup 15}N{sub 4}-ARG, dimethylarginines, and L-citrulline by an LC-MS/MS assay. eNOS activity was determined by nitrite/nitrate accumulation, either via a fluorometric assay or by{sup 15}N-nitrite or estimated {sup 15}N{sub 3}-citrulline concentrations when {sup 15}N{sub 4}-ARG was used to challenge the cells. We found that ARG-EE incubation increased cellular ARG concentration but no increase in nitrite/nitrate was observed, while ARG incubation increased both cellular ARG concentration and nitrite accumulation. Cellular nitrite/nitrate production did not correlate with cellular total ARG concentration. Reduced {sup 15}N{sub 4}-ARG cellular uptake in CAT-1 siRNA transfected cells vs. control was accompanied by reduced eNOS activity, as determined by {sup 15}N-nitrite, total nitrite and {sup 15}N{sub 3}-citrulline formation. Our data suggest that extracellular ARG, not intracellular ARG, is the major determinant of NO production in endothelial cells. It is likely that once transported inside the cell, ARG can no longer gain access to the membrane-bound eNOS. These observations indicate that the 'L-arginine paradox' should not consider intracellular ARG concentration as a reference point.

  10. 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

    2013-03-14

    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.

  11. 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.

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

    SciTech Connect (OSTI)

    Ternes, M.P.

    1991-01-01

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

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

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

    Consumer Price Estimates for Energy by End-Use Sector, 1970-2010 (Dollars 1 per Million Btu) Year Residential Commercial Industrial Transportation Natural Gas 2 Petroleum Retail Electricity 3 Total 4 Natural Gas 2 Petroleum 5 Retail Electricity 3 Total 6,7 Coal Natural Gas 2 Petroleum 5 Biomass 8 Retail Electricity 3 Total 7,9 Petroleum 5 Total 7,10 1970 1.06 1.54 6.51 2.10 0.75 0.90 [R] 6.09 1.97 0.45 0.38 0.98 1.59 2.99 0.84 2.31 2.31 1971 1.12 1.59 6.80 2.24 .80 1.02 6.44 2.15 .50 .41 1.05

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

    SciTech Connect (OSTI)

    Combi, M. R.; Lee, Y.; Maekinen, J. T. T.; Bertaux, J.-L.; Quemerais, E.

    2009-06-15

    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)

  15. Production of ⁶¹Cu by the natZn(p,α) reaction: Improved separation and specific activity determination by titration with three chelators

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

    Asad, Ali H.; Smith, Suzanne V.; Morandeau, Laurence M.; Chan, Sun; Jeffery, Charmaine M.; Price, Roger I.

    2015-09-01

    In this study, the cyclotron-based production of position-emitting ⁶¹Cu using the (p,α) reaction at 11.7 MeV was investigated starting from natural-zinc (natZn) and enriched ⁶⁴Zn-foil targets, as well as its subsequent purification. For natZn, a combination of three resins were assessed to separate ⁶¹Cu from contaminating 66,67,68Ga and natZn. The specific activity of the purified ⁶¹Cu determined using ICP-MS analysis ranged from 143.3±14.3(SD) to 506.2±50.6 MBq/μg while the titration method using p-SCN-Bn-DOTA, p-SCN-Bn-NOTA and diamsar gave variable results (4.7±0.2 to 412.5±15.3 MBq/μg), with diamsar lying closest to the ICP-MS values. Results suggest that the p-SCN-Bn-DOTA and p-SCN-Bn-NOTA titration methods aremore » significantly affected by the presence of trace-metal contaminants.« less

  16. Production of ?Cu by the natZn(p,?) reaction: Improved separation and specific activity determination by titration with three chelators

    SciTech Connect (OSTI)

    Asad, Ali H.; Smith, Suzanne V.; Morandeau, Laurence M.; Chan, Sun; Jeffery, Charmaine M.; Price, Roger I.

    2015-09-01

    In this study, the cyclotron-based production of position-emitting ?Cu using the (p,?) reaction at 11.7 MeV was investigated starting from natural-zinc (natZn) and enriched ??Zn-foil targets, as well as its subsequent purification. For natZn, a combination of three resins were assessed to separate ?Cu from contaminating 66,67,68Ga and natZn. The specific activity of the purified ?Cu determined using ICP-MS analysis ranged from 143.314.3(SD) to 506.250.6 MBq/?g while the titration method using p-SCN-Bn-DOTA, p-SCN-Bn-NOTA and diamsar gave variable results (4.70.2 to 412.515.3 MBq/?g), with diamsar lying closest to the ICP-MS values. Results suggest that the p-SCN-Bn-DOTA and p-SCN-Bn-NOTA titration methods are significantly affected by the presence of trace-metal contaminants.

  17. Office Buildings - End-Use Equipment

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  14. End-Use Taxes: Current EIA Practices

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

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

  15. Alabama Natural Gas Consumption by End Use

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

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

  16. Alaska Natural Gas Consumption by End Use

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

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

  17. Arizona Natural Gas Consumption by End Use

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

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

  18. Arkansas Natural Gas Consumption by End Use

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

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

  19. Louisiana Natural Gas Consumption by End Use

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

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

  20. Maine Natural Gas Consumption by End Use

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

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

  1. Maryland Natural Gas Consumption by End Use

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

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

  2. Massachusetts Natural Gas Consumption by End Use

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

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

  3. Michigan Natural Gas Consumption by End Use

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

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

  4. Minnesota Natural Gas Consumption by End Use

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

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

  5. Mississippi Natural Gas Consumption by End Use

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

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

  6. Montana Natural Gas Consumption by End Use

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

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

  7. Nebraska Natural Gas Consumption by End Use

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

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

  8. Nevada Natural Gas Consumption by End Use

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

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

  9. Colorado Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Florida Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Georgia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Hawaii Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Idaho Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Illinois Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Indiana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Iowa Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Kansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Kentucky Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Massachusetts Natural Gas Consumption by End Use

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

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

  20. Michigan Natural Gas Consumption by End Use

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

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

  1. Minnesota Natural Gas Consumption by End Use

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

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

  2. Mississippi Natural Gas Consumption by End Use

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

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

  3. Missouri Natural Gas Consumption by End Use

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

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

  4. Montana Natural Gas Consumption by End Use

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

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

  5. Nebraska Natural Gas Consumption by End Use

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

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

  6. Nevada Natural Gas Consumption by End Use

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

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

  7. Ohio Natural Gas Consumption by End Use

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

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

  8. Oklahoma Natural Gas Consumption by End Use

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

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

  9. Oregon Natural Gas Consumption by End Use

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

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

  10. Pennsylvania Natural Gas Consumption by End Use

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

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

  11. Tennessee Natural Gas Consumption by End Use

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

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

  12. Texas Natural Gas Consumption by End Use

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

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

  13. Utah Natural Gas Consumption by End Use

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

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

  14. Vermont Natural Gas Consumption by End Use

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

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

  15. Virginia Natural Gas Consumption by End Use

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

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

  16. Washington Natural Gas Consumption by End Use

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

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

  17. Alabama Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Alaska Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Arizona Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Arkansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  1. California Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  2. Tennessee Natural Gas Consumption by End Use

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

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

  3. Texas Natural Gas Consumption by End Use

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

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

  4. Ohio Natural Gas Consumption by End Use

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

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

  5. Oklahoma Natural Gas Consumption by End Use

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

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

  6. Oregon Natural Gas Consumption by End Use

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

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

  7. Pennsylvania Natural Gas Consumption by End Use

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

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

  8. Wyoming Natural Gas Consumption by End Use

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

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

  9. California Natural Gas Consumption by End Use

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

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

  10. Colorado Natural Gas Consumption by End Use

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

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

  11. Connecticut Natural Gas Consumption by End Use

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

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

  12. Delaware Natural Gas Consumption by End Use

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

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

  13. Florida Natural Gas Consumption by End Use

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

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

  14. Georgia Natural Gas Consumption by End Use

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

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

  15. Hawaii Natural Gas Consumption by End Use

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

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

  16. Idaho Natural Gas Consumption by End Use

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

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

  17. Illinois Natural Gas Consumption by End Use

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

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

  18. Indiana Natural Gas Consumption by End Use

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

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

  19. Iowa Natural Gas Consumption by End Use

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

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

  20. Kansas Natural Gas Consumption by End Use

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

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

  1. Kentucky Natural Gas Consumption by End Use

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

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

  2. Louisiana Natural Gas Consumption by End Use

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

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

  3. Maine Natural Gas Consumption by End Use

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

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

  4. Maryland Natural Gas Consumption by End Use

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

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

  5. Utah Natural Gas Consumption by End Use

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

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

  6. Vermont Natural Gas Consumption by End Use

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

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

  7. Virginia Natural Gas Consumption by End Use

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

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

  8. Connecticut Natural Gas Consumption by End Use

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  9. Wisconsin Natural Gas Consumption by End Use

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

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

  10. Wyoming Natural Gas Consumption by End Use

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

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

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

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

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

  12. Missouri Natural Gas Consumption by End Use

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

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

  13. Washington Natural Gas Consumption by End Use

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

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

  14. Wisconsin Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Delaware Natural Gas Consumption by End Use

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

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

  16. Determination of Sugars, Byproducts, and Degradation Products in Liquid Fraction Process Samples: Laboratory Analytical Procedure (LAP); Issue Date: 12/08/2006

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

    Sugars, Byproducts, and Degradation Products in Liquid Fraction Process Samples Laboratory Analytical Procedure (LAP) Issue Date: 12/08/2006 A. Sluiter, B. Hames, R. Ruiz, C. Scarlata, J. Sluiter, and D. Templeton Technical Report NREL/TP-510-42623 January 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department

  17. Measurement of cross section of quark pair production top with the D0 experiment at the Tevatron and determination the top quark mass using this measure

    SciTech Connect (OSTI)

    Chevalier-Thery, Solene; /Paris U., VI-VII /Saclay

    2010-06-01

    The top quark has been discovered by CDF and D0 experiments in 1995 at the proton-antiproton collider Tevatron. The amount of data recorded by both experiments makes it possible to accurately study the properties of this quark: its mass is now known to better than 1% accuracy. This thesis describes the measurement of the top pair cross section in the electron muon channel with 4, 3 fb{sup -1} recorded data between 2006 and 2009 by the D0 experiment. Since the final state included a muon, improvements of some aspects of its identification have been performed : a study of the contamination of the cosmic muons and a study of the quality of the muon tracks. The cross section measurement is in good agreement with the theoretical calculations and the other experimental measurements. This measurement has been used to extract a value for the top quark mass. This method allows for the extraction of a better defined top mass than direct measurements as it depends less on Monte Carlo simulations. The uncertainty on this extracted mass, dominated by the experimental one, is however larger than for direct measurements. In order to decrease this uncertainty, the ratio of the Z boson and the top pair production cross sections has been studied to look for some possible theoretical correlations. At the Tevatron, the two cross sections are not theoretically correlated: no decrease of the uncertainty on the extracted top mass is therefore possible.

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

    SciTech Connect (OSTI)

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

    2008-01-01

    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.

  19. 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

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

    Chatrchyan, Serguei

    2014-08-21

    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,more » $$m_t^{pole}$$, or the strong coupling constant, $$\\alpha_S$$. With the parton distribution function set NNPDF2.3, a pole mass of 176.7$$^{+3.0}_{-2.8}$$ GeV is obtained when constraining $$\\alpha_S$$ at the scale of the Z boson mass, $m_Z$, to the current world average. Alternatively, by constraining $$m_t^{pole}$$ to the latest average from direct mass measurements, a value of $$\\alpha_S(m_Z)$$ = 0.1151$$^{+0.0028}_{-0.0027}$$ is extracted. This is the first determination of $$\\alpha_S$$ using events from top-quark production.« less

  20. 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.

    1981-06-15

    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.

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

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

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

  2. CX-001016: Categorical Exclusion Determination | Department of...

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

    16: Categorical Exclusion Determination CX-001016: Categorical Exclusion Determination Sustainable Biomass Production Systems-GO88073 Renewal CX(s) Applied: A9 Date: 03012010...

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

    SciTech Connect (OSTI)

    Francis Lau

    2002-12-01

    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.

  4. Determinations and Coverage Rulemakings | Department of Energy

    Office of Environmental Management (EM)

    Determinations and Coverage Rulemakings Determinations and Coverage Rulemakings The Energy Policy and Conservation Act (EPCA) (42 U.S.C. 6292(a)) contains a list of 19 consumer products that are considered covered products for which the Secretary of Energy is authorized to establish energy conservation standards. EPCA (42 U.S.C. 6292(a)(20) also allows the Department of Energy (DOE) to classify other types of consumer products as covered products if the DOE determines that: Classifying the

  5. CX-100474 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Miscellaneous Refrigeration Products RIN 1904-AC66 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 02/18/2016 Location(s): Nationwide Office(s): Golden Field Office

  6. Mississippi State Biodiesel Production Project

    SciTech Connect (OSTI)

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

    2008-03-20

    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 glycerine phase and the continuous lost of catalyst. A maximum soy biodiesel yield of 85% was obtained by BaO in 14 minutes, whereas, PbO, MnO2, CaO and MgO gave a maximum yields of 84%, 80%, 78% and 66% respectively at 215C. The overall reaction order of PbO, MnO2, BaO, CaO and MgO was found to be 1, 1, 3, 1 and 1 respectively. The highest rate constant was observed for BaO, which was 0.0085 g2.mole-2.min-1. The performance of biodiesel in terms of type (e.g., NOx, and CO) and quantity of emissions was tested using soy biodiesel, blends of biodiesel and ethanol, and differently aged diesel engines. It was determined that saturated methyl esters, and relatively high oxygen content in the fuel, caused by addition of ethanol, increased the NOx emissions from new diesel engines compared to petroleum diesel.

  7. 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.

    1997-07-01

    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.

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

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

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

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

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

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

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

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

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

  11. Energy End-Use Intensities in Commercial Buildings

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

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

  12. Energy End-Use Intensities in Commercial Buildings

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

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

  13. Energy End-Use Intensities in Commercial Buildings

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

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

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

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

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

  15. Energy End-Use Intensities in Commercial Buildings 1992

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

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Alabama Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Texas Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Biogas end-use in the European community

    SciTech Connect (OSTI)

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

    1989-01-01

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

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

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

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

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

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

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

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

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

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

  4. Energy End-Use Intensities in Commercial Buildings

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Florida Sales of Distillate Fuel Oil by End Use

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

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  7. West Virginia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  8. New Hampshire Natural Gas Consumption by End Use

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

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

  9. New Jersey Natural Gas Consumption by End Use

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

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

  10. District of Columbia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  11. New Hampshire Natural Gas Consumption by End Use

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

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

  12. New Jersey Natural Gas Consumption by End Use

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

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

  13. New Mexico Natural Gas Consumption by End Use

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

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

  14. New York Natural Gas Consumption by End Use

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

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

  15. North Carolina Natural Gas Consumption by End Use

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

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

  16. North Dakota Natural Gas Consumption by End Use

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

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

  17. Rhode Island Natural Gas Consumption by End Use

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

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

  18. South Carolina Natural Gas Consumption by End Use

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

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

  19. South Dakota Natural Gas Consumption by End Use

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

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

  20. West Virginia Natural Gas Consumption by End Use

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

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

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

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

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

  2. New Mexico Natural Gas Consumption by End Use

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

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

  3. North Dakota Natural Gas Consumption by End Use

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

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

  4. Rhode Island Natural Gas Consumption by End Use

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

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

  5. South Dakota Natural Gas Consumption by End Use

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

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

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

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

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

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

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

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

  8. District of Columbia Natural Gas Consumption by End Use

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

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

  9. Gulf of Mexico Natural Gas Consumption by End Use

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

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

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

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

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

  11. Louisiana Sales of Distillate Fuel Oil by End Use

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

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

  12. Mississippi Sales of Distillate Fuel Oil by End Use

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

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

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

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

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

  14. North Carolina Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  15. New York Natural Gas Consumption by End Use

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

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

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

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

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

  17. Energy End-Use Intensities in Commercial Buildings

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

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

  18. South Carolina Natural Gas Consumption by End Use

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

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

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

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

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

  20. Morris: Noncompliance Determination (2013-SE-5403)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Morris Products, Inc. finding that various models of metal halide lamp fixtures do not comport with the energy conservation standards.

  1. 2014-02-21 Issuance: Proposed Determination of Computer Servers...

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

    a Covered Consumer Product; Withdrawal 2014-02-21 Issuance: Proposed Determination of Computer Servers as a Covered Consumer Product; Withdrawal This document is a pre-publication...

  2. Hydrogen Production

    SciTech Connect (OSTI)

    2014-09-01

    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 produce hydrogen. It includes an overview of research goals as well as “quick facts” about hydrogen energy resources and production technologies.

  3. Categorical Exclusion Determinations: Montana | Department of Energy

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

    Montana Categorical Exclusion Determinations: Montana Location Categorical Exclusion Determinations issued for actions in Montana. DOCUMENTS AVAILABLE FOR DOWNLOAD August 27, 2014 CX-012438: Categorical Exclusion Determination Geomechanical Monitoring for CO2 Hub Storage: Production and Injection at Kevin Dome CX(s) Applied: A1, A9 Date: 41878 Location(s): Montana Offices(s): National Energy Technology Laboratory August 27, 2014 CX-012441: Categorical Exclusion Determination Kevin Dome Carbon

  4. Everest Refrigeration: Noncompliance Determination (2015-SE-42001) |

    Office of Environmental Management (EM)

    Department of Energy Noncompliance Determination (2015-SE-42001) Everest Refrigeration: Noncompliance Determination (2015-SE-42001) April 24, 2015 DOE issued a Notice of Noncompliance Determination to Bu Sung America Corporation (dba Everest Refrigeration) finding that commercial refrigeration equipment model number ESGR3 does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Bu Sung must immediately notify each person (or

  5. Perlick: Noncompliance Determination (2013-SE-14001) | Department of Energy

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

    Noncompliance Determination (2013-SE-14001) Perlick: Noncompliance Determination (2013-SE-14001) February 27, 2015 DOE issued a Notice of Noncompliance Determination to Perlick Corporation finding that freezer basic model HP24F does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Perlick must immediately notify each person (or company) to whom Perlick distributed the noncompliant products that the product does not meet Federal

  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

    2015-05-01

    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 atmorenext-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

  7. 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

    SciTech Connect (OSTI)

    Khachatryan, Vardan

    2015-05-01

    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).

  8. 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

    2015-05-01

    This article 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 5fb–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-leadingmore » order is performed. Within uncertainties, data and theory are in agreement. The sensitivity of the observable to the strong coupling constant αS 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 αS(MZ) = 0.1171 ± 0.0013(exp)+0.0073–0.0047(theo).« less

  9. Isotopes Products

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

    Isotopes Products Isotopes Products Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Products stress and rest Stress and rest Rb-82 PET images in a patient with dipyridamole stress-inducible lateral wall and apical ischemia. (http://www.fac.org.ar/scvc/llave/image/machac/machaci.htm#f2,3,4) Strontium-82 is supplied to our customers for use in Sr-82/Rb-82 generator technologies. The generators in turn are supplied to

  10. Isotopes Products

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

    are saving lives, advancing cutting-edge research and keeping the U.S. safe. Products stress and rest Stress and rest Rb-82 PET images in a patient with dipyridamole...

  11. 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

  12. Bottom production

    SciTech Connect (OSTI)

    Baines, J.; Baranov, S.P.; Bartalini, P.; Bay, A.; Bouhova, E.; Cacciari, M.; Caner, A.; Coadou, Y.; Corti, G.; Damet, J.; Dell-Orso, R.; De Mello Neto, J.R.T.; Domenech, J.L.; Drollinger, V.; Eerola, P.; Ellis, N.; Epp, B.; Frixione, S.; Gadomski, S.; Gavrilenko, I.; Gennai, S.; George, S.; Ghete, V.M.; Guy, L.; Hasegawa, Y.; Iengo, P.; Jacholkowska, A.; Jones, R.; Kharchilava, A.; Kneringer, E.; Koppenburg, P.; Korsmo, H.; Kramer, M.; Labanca, N.; Lehto, M.; Maltoni, F.; Mangano, M.L.; Mele, S.; Nairz, A.M.; Nakada, T.; Nikitin, N.; Nisati, A.; Norrbin, E.; Palla, F.; Rizatdinova, F.; Robins, S.; Rousseau, D.; Sanchis-Lozano, M.A.; Shapiro, M.; Sherwood, P.; Smirnova, L.; Smizanska, M.; Starodumov, A.; Stepanov, N.; Vogt, R.

    2000-03-15

    In the context of the LHC experiments, the physics of bottom flavoured hadrons enters in different contexts. It can be used for QCD tests, it affects the possibilities of B decays studies, and it is an important source of background for several processes of interest. The physics of b production at hadron colliders has a rather long story, dating back to its first observation in the UA1 experiment. Subsequently, b production has been studied at the Tevatron. Besides the transverse momentum spectrum of a single b, it has also become possible, in recent time, to study correlations in the production characteristics of the b and the b. At the LHC new opportunities will be offered by the high statistics and the high energy reach. One expects to be able to study the transverse momentum spectrum at higher transverse momenta, and also to exploit the large statistics to perform more accurate studies of correlations.

  13. Oil Production

    Energy Science and Technology Software Center (OSTI)

    1989-07-01

    A horizontal and slanted well model was developed and incorporated into BOAST, a black oil simulator, to predict the potential production rates for such wells. The HORIZONTAL/SLANTED WELL MODEL can be used to calculate the productivity index, based on the length and location of the wellbore within the block, for each reservoir grid block penetrated by the horizontal/slanted wellbore. The well model can be run under either pressure or rate constraints in which wellbore pressuresmore » can be calculated as an option of infinite-conductivity. The model can simulate the performance of multiple horizontal/slanted wells in any geometric combination within reservoirs.« less

  14. Hydrogen Production

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

    Production Hydrogen is an energy carrier, not an energy source-hydrogen stores and delivers energy in a usable form, but it must be produced from hydrogen- containing compounds. Hydrogen can be produced using diverse, domestic resources including fossil fuels, such as natural gas and coal (preferentially with carbon capture, utilization, and storage); biomass grown from renewable, non-food crops; or using nuclear energy and renewable energy sources, such as wind, solar, geothermal, and

  15. Hydrogen Production

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

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

  16. Kinetics following addition of sulfur fluorides to a weakly ionized plasma from 300 to 500 K: Rate constants and product determinations for ion-ion mutual neutralization and thermal electron attachment to SF{sub 5}, SF{sub 3}, and SF{sub 2}

    SciTech Connect (OSTI)

    Shuman, Nicholas S.; Miller, Thomas M.; Viggiano, A. A.; Hazari, Nilay; Luzik, Eddie D. Jr.

    2010-12-21

    Rate constants for several processes including electron attachment to SF{sub 2}, SF{sub 3}, and SF{sub 5} and individual product channels of ion-ion mutual neutralization between SF{sub 6}{sup -}, SF{sub 5}{sup -}, and SF{sub 4}{sup -} with Ar{sup +} were determined by variable electron and neutral density attachment mass spectrometry. The experiments were conducted with a series of related neutral precursors (SF{sub 6}, SF{sub 4}, SF{sub 5}Cl, SF{sub 5}C{sub 6}H{sub 5}, and SF{sub 3}C{sub 6}F{sub 5}) over a temperature range of 300-500 K. Mutual neutralization rate constants for SF{sub 6}{sup -}, SF{sub 5}{sup -}, and SF{sub 4}{sup -} with Ar{sup +} are reported with uncertainties of 10-25% and show temperature dependencies in agreement with the theoretical value of T{sup -0.5}. Product branching in the mutual neutralizations is temperature independent and dependent on the electron binding energy of the anion. A larger fraction of product neutrals from the SF{sub 6}{sup -} mutual neutralization (0.9 {+-}0.1) are dissociated than in the SF{sub 5}{sup -} mutual neutralization (0.65 {+-} 0.2), with the SF{sub 4}{sup -} (0.7 {+-} 0.3) likely lying in between. Electron attachment to SF{sub 5} (k= 2.0 x 10{sup -8} {+-}{sub 1}{sup 2} cm{sup 3} s{sup -1} at 300 K) and SF{sub 3} (4 {+-} 3 x 10{sup -9} cm{sup 3} s{sup -1} at 300 K) show little temperature dependence. Rate constants of electron attachment to closed-shell SF{sub n} species decrease as the complexity of the neutral decreases.

  17. 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, 1997-1998 Annual Report.

    SciTech Connect (OSTI)

    Ward, David L.

    1999-02-01

    The authors report on their progress from April 1997 through March 1998 on determining the effects of mitigative measures on productivity of white sturgeon populations in the Columbia River downstream from McNary Dam, and on determining the status and habitat requirements of white sturgeon populations in the Columbia and Snake rivers upstream from McNary Dam. The study is a cooperative effort by the Oregon Department of Fish and Wildlife (ODFW; Report A), Washington Department of Fish and Wildlife (WDFW; Report B), U.S. Geological Survey Biological Resources Division (USGS; Report C), National Marine Fisheries Service (NMFS; Report D), U.S. Fish and Wildlife Service (USFWS; Report E), and Columbia River Inter-Tribal Fish Commission (CRITFC; Report F). This is a multi-year study with many objectives requiring more than one year to complete. Therefore, findings from a given year may be part of more significant findings yet to be reported. Highlights of results of the work from April 1997 through March 1998 listed.

  18. Monthly Biodiesel Production Report

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

    U.S. Biodiesel production capacity and production million gallons Period Annual Production ... B100 is the industry designation for pure biodiesel; a biodiesel blend contains both pure ...

  19. Monthly Biodiesel Production Report

    Reports and Publications (EIA)

    2016-01-01

    Presents monthly data on inventory held by biodiesel producers, production capacity, production, and sales quantities. Production capacity is reported at the national and state levels.

  20. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G.; Gurary, Alexander I.; Boguslavskiy, Vadim

    2002-01-01

    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.

  1. NEPA Determination Complete

    Broader source: Energy.gov [DOE]

    DOE has determined that this proposed project is a major Federal action that may significantly affect the quality of the human environment. To comply with the National Environmental Policy Act ...

  2. Solids mass flow determination

    DOE Patents [OSTI]

    Macko, Joseph E. (Hempfield Township, Westmoreland County, PA)

    1981-01-01

    Method and apparatus for determining the mass flow rate of solids mixed with a transport fluid to form a flowing mixture. A temperature differential is established between the solids and fluid. The temperature of the transport fluid prior to mixing, the temperature of the solids prior to mixing, and the equilibrium temperature of the mixture are monitored and correlated in a heat balance with the heat capacities of the solids and fluid to determine the solids mass flow rate.

  3. Victory: Noncompliance Determination (2015-SE-42033) | Department of Energy

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

    Noncompliance Determination (2015-SE-42033) Victory: Noncompliance Determination (2015-SE-42033) August 18, 2015 DOE issued a Notice of Noncompliance Determination to Victory Refrigeration finding that commercial refrigeration equipment basic model number RFS-1D-S1-EW-PT-HD (including each individual model within the basic model) does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Victory must immediately notify each person

  4. Traulsen: Noncompliance Determination (2015-SE-42002) | Department of

    Energy Savers [EERE]

    Energy Noncompliance Determination (2015-SE-42002) Traulsen: Noncompliance Determination (2015-SE-42002) April 28, 2015 DOE issued a Notice of Noncompliance Determination to Traulsen - ITW Food Group, LLC finding that commercial refrigeration equipment basic model number RDT132DUT-HHS does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Traulsen must immediately notify each person (or company) to whom Traulsen distributed

  5. Seaga: Noncompliance Determination (2015-SE-52001) | Department of Energy

    Energy Savers [EERE]

    Seaga: Noncompliance Determination (2015-SE-52001) Seaga: Noncompliance Determination (2015-SE-52001) June 19, 2015 DOE issued a Notice of Noncompliance Determination to Seaga Manufacturing, Inc. finding that the refrigerated bottle and canned beverage vending machine (BVM) basic model with name plate model SP536R does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Seaga must immediately notify each person (or company) to

  6. Philips: Noncompliance Determination (2014-SE-48006) | Department of Energy

    Energy Savers [EERE]

    Noncompliance Determination (2014-SE-48006) Philips: Noncompliance Determination (2014-SE-48006) March 26, 2015 DOE issued a Notice of Noncompliance Determination to Philips Lighting North America Corp. finding that a variety of illuminated exit sign models do not comport with the energy conservation standards, based on information provided to DOE by Philips. DOE determined the products were noncompliant based on testing information provided by the company. Philips must immediately notify each

  7. Biological production of products from waste gases

    DOE Patents [OSTI]

    Gaddy, James L. (Fayetteville, AR)

    2002-01-22

    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.

  8. Osmotic Heat Engine for Energy Production from Low Temperature...

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

    More Documents & Publications Osmotic Heat Engine for Energy Production from Low Temperature Geothemal Resources CX-001704: Categorical Exclusion Determination Low Temperature...

  9. 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.

  10. Categorical Exclusion Determinations: Environmental Management...

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

    Consolidated Business Service Center Categorical Exclusion Determinations: Environmental Management Consolidated Business Service Center Categorical Exclusion Determinations issued...

  11. Waste Determination Equivalency - 12172

    SciTech Connect (OSTI)

    Freeman, Rebecca D.

    2012-07-01

    The Savannah River Site (SRS) is a Department of Energy (DOE) facility encompassing approximately 800 square kilometers near Aiken, South Carolina which began operations in the 1950's with the mission to produce nuclear materials. The SRS contains fifty-one tanks (2 stabilized, 49 yet to be closed) distributed between two liquid radioactive waste storage facilities at SRS containing carbon steel underground tanks with storage capacities ranging from 2,800,000 to 4,900,000 liters. Treatment of the liquid waste from these tanks is essential both to closing older tanks and to maintaining space needed to treat the waste that is eventually vitrified or disposed of onsite. Section 3116 of the Ronald W. Reagan National Defense Authorization Act of Fiscal Year 2005 (NDAA) provides the Secretary of Energy, in consultation with the Nuclear Regulatory Commission (NRC), a methodology to determine that certain waste resulting from prior reprocessing of spent nuclear fuel are not high-level radioactive waste if it can be demonstrated that the waste meets the criteria set forth in Section 3116(a) of the NDAA. The Secretary of Energy, in consultation with the NRC, signed a determination in January 2006, pursuant to Section 3116(a) of the NDAA, for salt waste disposal at the SRS Saltstone Disposal Facility. This determination is based, in part, on the Basis for Section 3116 Determination for Salt Waste Disposal at the Savannah River Site and supporting references, a document that describes the planned methods of liquid waste treatment and the resulting waste streams. The document provides descriptions of the proposed methods for processing salt waste, dividing them into 'Interim Salt Processing' and later processing through the Salt Waste Processing Facility (SWPF). Interim Salt Processing is separated into Deliquification, Dissolution, and Adjustment (DDA) and Actinide Removal Process/Caustic Side Solvent Extraction Unit (ARP/MCU). The Waste Determination was signed by the Secretary of Energy in January of 2006 based on proposed processing techniques with the expectation that it could be revised as new processing capabilities became viable. Once signed, however, it became evident that any changes would require lengthy review and another determination signed by the Secretary of Energy. With the maturation of additional salt removal technologies and the extension of the SWPF start-up date, it becomes necessary to define 'equivalency' to the processes laid out in the original determination. For the purposes of SRS, any waste not processed through Interim Salt Processing must be processed through SWPF or an equivalent process, and therefore a clear statement of the requirements for a process to be equivalent to SWPF becomes necessary. (authors)

  12. Fluid properties determine flow line blockage potential

    SciTech Connect (OSTI)

    Hunt, A.

    1996-07-15

    A thorough understanding of fluid properties helps in determining the potential of hydrates, paraffins, or asphaltenes to block subsea flow lines. Thermal, chemical, and mechanical methods are the main ways for preventing deposition. Already in both the North Sea and the Gulf of Mexico, blockages have led to significant losses in production and reserves recovery. This first article in a two-part series discusses thermal and chemical methods in overcoming fluid behavior problems caused by hydrate and other fluid constituents in subsea multiphase flow. The paper discusses subsea production, possible problems, nucleation, growth, deposition, preventing deposition, hydrate predictions, multiphase flow, and hydrate inhibition.

  13. Y-12 lithium-6 production

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

    lithium-6 production The United States was not expecting the Soviet Union's explosion of their first nuclear device using hydrogen and other fusion materials on August 12, 1953. The explosion was quickly determined to be a thermonuclear-like test and was also believed to contain lithium. Y-12 chemists and engineers were already attempting to find ways to separate lithium-6 in the laboratory and using pilot processes. Three potential types of chemical separation processes were being tested. This

  14. Communications Product Governance Team

    Broader source: Energy.gov [DOE]

    The Office of Energy Efficiency and Renewable Energy (EERE) Product Governance Team (PGT) reviews and approves the publications, exhibits, logos, and templates for all EERE communications products. The PGT manages the product review process.

  15. Grid-based Production

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

    Grid-based Production Grid-based Production PDSF is a Tier 2 site for ALICE and as such has the infrastructure in place to run automated grid-based ALICE production jobs. The main...

  16. Synthesis of Polycyclic Natural Products

    SciTech Connect (OSTI)

    Tuan Hoang Nguyen

    2003-05-31

    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.

  17. Award Fee Determination Summary

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

    2 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, Attachment J.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: FY 2012 Base Period Fee Available Fee allocated to FY 2012* Performance Measures $10,399,033.60 Incremental Fee $4,490,000.00 Provisional Fee

  18. Award Fee Determination Summary

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

    1 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded and American Recovery and Reinvestment Act (Recovery) funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, AttachmentJ.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: Fiscal Year 2011 (Oct 1, 2010 - Sept 30, 2011) Base Funded Fee Recovery Funded Fee Available

  19. Interim Action Determination

    Office of Environmental Management (EM)

    Interim Action Determination Processing of Plutonium Materials from the DOE Standard 3013 Surveillance Program in H-Canyon at the Savannah River Site The Department of Energy (DOE) is preparing the Surplus Plutonium Disposition Supplemental Environmental Impact Statement (SPD SEIS, DOE/EIS-0283-S2). DOE is evaluating alternatives for disposition of non-pit plutonium that is surplus to the national security needs of the United States. Although the Deputy Secretary of Energy approved Critical

  20. Crude Oil Production

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

    revised monthly production estimates by state published in Petroleum Navigator. Crude oil production quantities are estimated by state and summed to the PADD and the U.S....

  1. Monthly Biodiesel Production Report

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

    Biodiesel (B100) production by Petroleum Administration for Defense District (PADD) ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  2. Monthly Biodiesel Production Report

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

    Biodiesel producers and production capacity by state, December 2015 State Number of ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  3. ARM - PI Product - Convective Available Potential Energy (CAPE), Convective

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

    Inhibition (CIN) Product Products Convective Available Potential Energy (CAPE), Convective Inhibition (CIN) Product ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Convective Available Potential Energy (CAPE), Convective Inhibition (CIN) Product ARM soundings are used to determine Convective Available Potential Energy (CAPE), Convective Inhibition (CIN) and associated properties. Data Details

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

  5. Transmission Losses Product (pbl/products)

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

    Wind Smoothing and Intertie Service (Pilot) Firstgov Pricing for Transmission Losses Product Bonneville Power Administration (BPA) Power Services offers to sell transmission...

  6. Modeling Fission Product Sorption in Graphite Structures

    SciTech Connect (OSTI)

    Szlufarska, Izabela; Morgan, Dane; Allen, Todd

    2013-04-08

    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).

  7. CX-100339 Categorical Exclusion Determination | Department of Energy

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

    39 Categorical Exclusion Determination CX-100339 Categorical Exclusion Determination Notice of Proposed Rulemaking Regarding Energy Conservation Standards for Ceiling Fans (1904-AC87) CX(s) Applied: B5.1 EERE- Buildings Technology Program Date: 08/28/2015 Location(s): Nationwide Office(s): Golden Field Office In this NOPR, DOE proposes to adopt amended energy conservation standards with respect to ceiling fans. DOE has determined that the amended energy conservation standards for these products

  8. EIS-0225-SA-05: Supplement Analysis Determination | Department of Energy

    Energy Savers [EERE]

    5-SA-05: Supplement Analysis Determination EIS-0225-SA-05: Supplement Analysis Determination Continued Operation of the Pantex Plant and Associated Storage of Nuclear Weapon Components DOE's NNSA Production Office Pantex has prepared a SA to determine whether the Final Environmental Impact Statement for the Continued Operation of the Pantex Plant and Associated Storage of Nuclear Weapon Components, also known as the Site-Wide Environmental Impact Statement, adequately addresses the environmental

  9. CX-100204 Categorical Exclusion Determination | Department of Energy

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

    04 Categorical Exclusion Determination CX-100204 Categorical Exclusion Determination Supplemental Proposed Rulemaking for Energy Conservation Standards for Battery Chargers RIN: 1904-AB57 CX(s) Applied: B5.1 EERE- Buildings Technology Program Date: 03/25/15 Location(s): Nationwide Office(s): Golden Field Office In this proposed rule, DOE proposes new and amended energy conservation standards for battery chargers. DOE has determined that the amend energy conservation standards for these products

  10. CX-100390 Categorical Exclusion Determination | Department of Energy

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

    90 Categorical Exclusion Determination CX-100390 Categorical Exclusion Determination Proposed Rulemaking for Energy Conservation Standards for Air Compressors RIN: 1904-AC83 CX(s) Applied: B5.1 EERE- Buildings Technology Program Date: 10/30/2015 Location(s): Nationwide Office(s): Golden Field Office In this proposed rule, DOE proposes new and amended energy conservation standards for air compressors. DOE has determined that the amended energy conservation standards for these products would

  11. CX-100406 Categorical Exclusion Determination | Department of Energy

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

    6 Categorical Exclusion Determination CX-100406 Categorical Exclusion Determination Final Rulemaking for Energy Conservation Standards for Pumps RIN 1904-AC54 CX(s) Applied: B5.1 EERE-Buildings Technology Program Date: 11/20/2015 Location(s): Nationwide Office(s): Golden Field Office In this final rule, DOE proposes new energy conservation standards for pumps. DOE has determined that the energy conservation standards for these products would result in significant conservation of energy, and are

  12. CX-100407 Categorical Exclusion Determination | Department of Energy

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

    7 Categorical Exclusion Determination CX-100407 Categorical Exclusion Determination Proposed Rulemaking for Energy Conservation Standards for Commercial Boilers RIN 1904-AD01 CX(s) Applied: B5.1 EERE-Buildings Technology Program Date: 11/20/2015 Location(s): Nationwide Office(s): Golden Field Office In this proposed rule, DOE proposes new energy conservation standards for commercial boilers. DOE has determined that the amended energy conservation standards for these products would result in

  13. CX-100408 Categorical Exclusion Determination | Department of Energy

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

    8 Categorical Exclusion Determination CX-100408 Categorical Exclusion Determination Proposed Rulemaking for Energy Conservation Standards for General Service Lamps RIN 1904-AD09 CX(s) Applied: B5.1 EERE-Buildings Technology Program Date: 11/20/2015 Location(s): Nationwide Office(s): Golden Field Office In this proposed rule, DOE proposes new energy conservation standards for general service lamps. DOE has determined that the energy conservation standards for these products would result in

  14. CX-100423 Categorical Exclusion Determination | Department of Energy

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

    3 Categorical Exclusion Determination CX-100423 Categorical Exclusion Determination Final Rulemaking for Energy Conservation Standards for Ceiling Fan Lights Kits RIN 1904-AC87 CX(s) Applied: B5.1 EERE-Buildings Technology Program Date: 12/18/2015 Location(s): Nationwide Office(s): Golden Field Office In this final rule, DOE proposes new and amended energy conservation standards for Ceiling Fan Light kits. DOE has determined that the amended energy conservation standards for these products would

  15. Islandaire: Noncompliance Determination (2015-SE-43007) | Department of

    Office of Environmental Management (EM)

    Energy 7) Islandaire: Noncompliance Determination (2015-SE-43007) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-09ANR1-B, which includes models EZ4209B and EZDR09B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it

  16. Islandaire: Noncompliance Determination (2015-SE-43008) | Department of

    Office of Environmental Management (EM)

    Energy 8) Islandaire: Noncompliance Determination (2015-SE-43008) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-129ANR1-B, which includes models EZDR12B and EZD4212B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it

  17. Islandaire: Noncompliance Determination (2015-SE-43009) | Department of

    Office of Environmental Management (EM)

    Energy 9) Islandaire: Noncompliance Determination (2015-SE-43009) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-07ANR1-B, which includes model EZDR07B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it distributed the

  18. State Energy Production Estimates

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

    Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052 351,259...

  19. Energy Efficiency Product Standards

    Broader source: Energy.gov [DOE]

    New Jersey Energy Efficiency Product Standards, enacted in 2005, include minimum standards for eight products, which were preempted by the federal Energy Policy Act of 2005. Future standards, if...

  20. Monthly Biodiesel Production Report

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

    U.S. Biodiesel production, sales, and stocks million gallons Period B100 production Sales of B100 Sales of B100 included in biodiesel blends Ending stocks of B100 B100 stock change ...

  1. Monthly Biodiesel Production Report

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

    U.S. Inputs to biodiesel production million pounds Period Canola oil Corn oil Cottonseed ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  2. Technical Analysis of Hydrogen Production

    SciTech Connect (OSTI)

    Ali T-Raissi

    2005-01-14

    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.

  3. Nuclear Dependence of Charm Production

    SciTech Connect (OSTI)

    Blanco-Covarrubias, A.; Engelfried, J.; Akgun, U.; Alkhazov, G.; Amaro-Reyes, J.; Atamantchouk, A.G.; Ayan, A.S.; Balatz, M.Y.; Bondar, N.F.; Cooper, P.S.; Dauwe, Loretta J.; /Michigan U., Flint /Moscow, ITEP

    2009-02-01

    With data taken by SELEX, which accumulated data during the 1996-1997 fixed target run at Fermilab, we study the production of charmed hadrons on copper and carbon targets with {Sigma}{sup -}, p, {pi}{sup -}, and {pi}{sup +} beams. Parameterizing the production cross section {infinity} A{sup {alpha}}, A being the atomic number, we determine {alpha} for D{sup +}, D{sup 0}, D{sub s}{sup +}, D{sup +}(2010), {Lambda}{sub c}{sup +}, and their respective anti-particles, as a function of their transverse momentum p{sub t} and scaled longitudinal momentum x{sub F}. Within our statistics there is no dependence of {alpha} on x{sub F} for any charm species for the interval 0.1 < x{sub F} < 1.0. The average value of {alpha} for charm production by pion beams is {alpha}{sub meson} = 0.850 {+-} 0.028. This is somewhat larger than the corresponding average {alpha}{sub baryon} = 0.755 {+-} 0.016 for charm production by baryon beams ({Sigma}{sup -}, p).

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

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

    to Oil Company Consumers (Thousand Gallons)","U.S. Residual Fuel Oil SalesDeliveries to Electric Utility Consumers (Thousand Gallons)","U.S. Residual Fuel Oil SalesDeliveries to...

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

    SciTech Connect (OSTI)

    Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

    2012-06-01

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  6. Renewable Electricity Futures Study. Volume 3. End-Use Electricity Demand

    SciTech Connect (OSTI)

    Hostick, Donna; Belzer, David B.; Hadley, Stanton W.; Markel, Tony; Marnay, Chris; Kintner-Meyer, Michael

    2012-06-15

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%–90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

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

    SciTech Connect (OSTI)

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

    1997-02-01

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

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

    SciTech Connect (OSTI)

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

    2006-11-15

    Demand-side management holds significant potential to reduce growth in U.S. energy consumption and peak demand, and in a cost-effective manner. But significant policy interventions will be required to achieve these benefits. (author)

  9. "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel...

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

    HVAC (g)",2,19,14,3,15,23 ," Facility Lighting",2,0,0,0,0,0 ," Other Facility ... HVAC (g)",9,67,47,17,46,54 ," Facility Lighting",6,0,0,0,0,0 ," Other Facility ...

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

    Gasoline and Diesel Fuel Update (EIA)

    54,100,092 56,093,645 57,082,558 57,020,840 58,107,155 60,827,930 1984-2014 Residential 4,103,881 3,930,517 3,625,747 3,473,310 3,536,111 3,802,848 1984-2014 Commercial 2,785,246 2,738,304 2,715,335 2,557,543 2,471,897 2,543,778 1984-2014 Industrial 2,159,428 2,045,164 2,179,953 2,325,503 2,271,056 2,417,898 1984-2014 Oil Company 760,877 951,322 1,381,127 1,710,513 1,751,162 2,105,058 1984-2014 Farm 2,660,024 2,928,175 2,942,436 3,031,878 3,026,611 3,209,391 1984-2014 Electric Power 581,386

  11. "Table B25. Energy End Uses, Floorspace for Non-Mall Buildings...

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

    may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manu- facturing" "All ...5378,4653,4631,1926,"Q" "District Chilled Water ......",2853,2734,2853,2655,1274,"Q" ...

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Alaska" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Golden Valley Elec Assn Inc","Cooperative",1253161,286768,133156,833237,0 2,"Chugach Electric Assn Inc","Cooperative",1162364,534522,573447,54395,0 3,"Anchorage Municipal Light and Power","Public",1047470,139733,907737,0,0

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Arizona" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Arizona Public Service Co","Investor-owned",28087605,13290096,12594486,2203023,0 2,"Salt River Project","Public",27127199,12581984,10940149,3605066,0 3,"Tucson Electric Power

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    California" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Pacific Gas & Electric Co","Investor-owned",76390000,30552342,36055810,9781848,0 2,"Southern California Edison Co","Investor-owned",74480098,29742778,36850508,7826556,60256 3,"Los Angeles Department of Water &

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Colorado" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of Colorado","Investor-owned",28861229,9266046,12881189,6652330,61664 2,"City of Colorado Springs - (CO)","Public",4553294,1461825,1106926,1984543,0 3,"Intermountain Rural Elec

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Delaware" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Delmarva Power","Investor-owned",3647192,2744059,880296,22837,0 2,"Delaware Electric Cooperative","Cooperative",1262619,1033946,228673,0,0 3,"City of Dover - (DE)","Public",708294,201140,226520,280634,0 4,"Constellation

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Florida" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Florida Power & Light Co","Investor-owned",103058588,54074164,45932938,2963404,88082 2,"Duke Energy Florida, Inc","Investor-owned",36615990,18507962,14901674,3206354,0 3,"Tampa Electric Co","Investor-owned",18417662,8469567,7921282,2026813,0

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Georgia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Georgia Power Co","Investor-owned",81178648,25478655,32457010,23086501,156482 2,"Jackson Electric Member Corp - (GA)","Cooperative",4924212,2809034,1445094,670084,0 3,"Cobb Electric Membership

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Hawaii" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Hawaiian Electric Co Inc","Investor-owned",6858536,1667309,2341257,2849970,0 2,"Maui Electric Co Ltd","Investor-owned",1134873,387909,379461,367503,0 3,"Hawaii Electric Light Co

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Idaho" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Idaho Power Co","Investor-owned",13971178,5167474,3820824,4982880,0 2,"PacifiCorp","Investor-owned",3621646,718090,440163,2463393,0 3,"Avista Corp","Investor-owned",3236645,1205385,1012843,1018417,0 4,"City of Idaho Falls -

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Illinois" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Constellation NewEnergy, Inc","Investor-owned",19729300,869767,12641305,5509689,708539 2,"Commonwealth Edison Co","Investor-owned",18295340,9548453,7883890,862997,0 3,"Homefield

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Indiana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Indiana Inc","Investor-owned",28003070,9183527,8450462,10369081,0 2,"Northern Indiana Pub Serv Co","Investor-owned",16798335,3444738,3992698,9339677,21222 3,"Indiana Michigan Power

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Iowa" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"MidAmerican Energy Co","Investor-owned",20217549,5829442,5195709,9192398,0 2,"Interstate Power and Light Co","Investor-owned",14586595,3939183,3951419,6695993,0 3,"Board of Water Electric &

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Kansas" "megawatthours" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Westar Energy Inc","Investor-owned",9826375,3409863,4433462,1983050,0 2,"Kansas Gas & Electric Co","Investor-owned",9669223,3113287,3132064,3423872,0 3,"Kansas City Power & Light

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Kentucky" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Kentucky Utilities Co","Investor-owned",18527337,6194856,5489716,6842765,0 2,"Louisville Gas & Electric Co","Investor-owned",11698975,4164049,4834960,2699966,0 3,"Kenergy Corp","Cooperative",9761288,743715,326221,8691352,0

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Louisiana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Louisiana LLC","Investor-owned",32220423,8819573,6688333,16712517,0 2,"Entergy Gulf States - LA LLC","Investor-owned",19663315,5206322,5435688,9021305,0 3,"Cleco Power

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Maryland" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Baltimore Gas & Electric Co","Investor-owned",11968295,8967015,2846423,154857,0 2,"WGL Energy Services, Inc.","Investor-owned",7553788,1092845,6460943,0,0 3,"Potomac Electric Power

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Michigan" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"DTE Electric Company","Investor-owned",42272312,15273084,16715877,10283351,0 2,"Consumers Energy Co","Investor-owned",32556015,12792609,11117015,8646391,0 3,"First Energy Solutions

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Minnesota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned",30950305,8933573,13704440,8293190,19102 2,"ALLETE, Inc.","Investor-owned",9284816,1086481,1324342,6873993,0 3,"Otter Tail Power

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Mississippi" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Mississippi Inc","Investor-owned",13118968,5629032,5224792,2265144,0 2,"Mississippi Power Co","Investor-owned",9731505,2087704,2905087,4738714,0 3,"Tennessee Valley Authority","Federal",4549938,0,0,4549938,0

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Missouri" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Union Electric Co - (MO)","Investor-owned",37030285,13561749,14737190,8709141,22205 2,"Kansas City Power & Light Co","Investor-owned",8562163,2598738,4458883,1504542,0 3,"KCP&L Greater Missouri Operations

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Nebraska" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Omaha Public Power District","Public",10801979,3629597,3574255,3598127,0 2,"Lincoln Electric System","Public",3236591,1217375,1517814,501402,0 3,"Nebraska Public Power District","Public",3216813,845775,1109885,1261153,0

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Total sales, top five providers" "Nevada" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Nevada Power Co","Investor-owned",21184405,9012407,4576328,7587394,8276 2,"Sierra Pacific Power Co","Investor-owned",8151543,2369781,2963657,2818105,0 3,"Shell Energy North America (US),

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Hampshire" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NH","Investor-Owned",3772359,2488177,1149989,134193,0 2,"Constellation NewEnergy, Inc","Investor-Owned",978706,0,577347,401359,0 3,"Integrys Energy Services, Inc.","Investor-Owned",789158,3122,786036,0,0

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Jersey" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Elec & Gas Co","Investor-owned",19192403,11493325,6936055,763023,0 2,"Jersey Central Power & Lt Co","Investor-owned",9947655,7417321,2298350,231984,0 3,"Direct Energy Business Marketing,

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Mexico" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"City of Farmington - (NM)","Public",1096394,281379,426457,388558,0 2,"Lea County Electric Coop, Inc","Cooperative",802924,83420,400831,318673,0 " ","Total sales, top five providers",,17659537,5444921,7581145,4633471,0 "

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Carolinas, LLC","Investor-owned",55301813,20601105,22341733,12351570,7405 2,"Duke Energy Progress - (NC)","Investor-owned",36886571,15249396,13425824,8211351,0 3,"Virginia Electric & Power

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Dakota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned",2301544,827062,1138952,335530,0 2,"Montana-Dakota Utilities Co","Investor-owned",1949522,786334,994607,168581,0 3,"Otter Tail Power

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Ohio" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",49437270,14024133,21080138,14272628,60371 2,"Ohio Power Co","Investor-owned",19142615,10834999,3492174,4815442,0 3,"DPL Energy

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Oklahoma" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Oklahoma Gas & Electric Co","Investor-owned",24203012,8668433,9357636,6176943,0 2,"Public Service Co of Oklahoma","Investor-owned",17681663,6289643,6309019,5083001,0 3,"Oklahoma Electric Coop

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Oregon" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Portland General Electric Co","Investor-owned",17808023,7701768,6816977,3281460,7818 2,"PacifiCorp","Investor-owned",13089576,5534975,5115094,2424852,14655 3,"City of Eugene - (OR)","Public",2404522,980515,873103,550904,0

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"South Carolina Electric&Gas Company","Investor-owned",21371090,7571438,7799857,5999795,0 2,"Duke Energy Carolinas, LLC","Investor-owned",20566058,6313640,5619965,8632453,0 3,"South Carolina Public Service

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Dakota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned",2040726,725505,980503,334718,0 2,"NorthWestern Energy - (SD)","Investor-owned",1564096,579570,690191,294335,0 3,"Black Hills Power

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Tennessee" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"City of Memphis - (TN)","Public",13926088,5245511,4652594,4026201,1782 2,"Nashville Electric Service","Public",11703738,4668568,6044539,990631,0 3,"Tennessee Valley Authority","Federal",5904077,0,0,5904077,0 4,"City of

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Texas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Reliant Energy Retail Services","Investor-owned",39511303,17784060,3813963,17913280,0 2,"TXU Energy Retail Co LP","Investor-owned",37916867,22545174,5383121,9988572,0 3,"City of San Antonio -

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Utah" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-Owned",24510395,6976758,8556034,8923492,54111 2,"Provo City Corp","Public",788727,242592,410382,135753,0 3,"City of St George","Public",619529,278940,67594,272995,0 4,"Moon Lake Electric Assn

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Vermont" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Green Mountain Power Corp","Investor-owned",4295605,1556518,1560705,1178382,0 2,"Vermont Electric Cooperative, Inc","Cooperative",442890,222441,119722,100727,0 3,"City of Burlington Electric -

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Virginia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Virginia Electric & Power Co","Investor-owned",74469354,28802062,39078780,6393908,194604 2,"Appalachian Power Co","Investor-owned",15783445,6297314,4011928,5474203,0 3,"Rappahannock Electric

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Washington" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Puget Sound Energy Inc","Investor-owned",21208609,10769101,9205670,1229556,4282 2,"City of Seattle - (WA)","Public",9457191,3137668,5261681,1057188,654 3,"Bonneville Power Administration","Federal",7222335,0,833256,6389079,0

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    West Virginia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Appalachian Power Co","Investor-owned",14186224,5616869,3650678,4918677,0 2,"Monongahela Power Co","Investor-owned",10812645,3604310,2752010,4452343,3982 3,"The Potomac Edison

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Wisconsin" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Wisconsin Electric Power Co","Investor-owned",24144805,7974652,8872580,7297573,0 2,"Wisconsin Public Service Corp","Investor-owned",10541535,2795812,3922944,3822779,0 3,"Wisconsin Power & Light

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Wyoming" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-owned",9553734,1092932,1538409,6922393,0 2,"Powder River Energy Corp","Cooperative",2633437,215755,912786,1504896,0 3,"Cheyenne Light Fuel & Power Co","Investor-owned",1100543,269296,549520,281727,0

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    United States" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Florida Power & Light Co","Investor-owned",103058588,54074164,45932938,2963404,88082 2,"Georgia Power Co","Investor-owned",81178648,25478655,32457010,23086501,156482 3,"Pacific Gas & Electric

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

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

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

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

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

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

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

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

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

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

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

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

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

    SciTech Connect (OSTI)

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

    2014-02-01

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

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

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

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

  20. Table 3. Top five retailers of electricity, with end use sectors...

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

    Wheeler Elec Member Corp","Cooperative",1562763,588686,292390,681687,0 5,"Baldwin County El Member Corp","Cooperative",1271089,833798,437291,0,0 " ","Total sales, top five...

  1. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    U.S. Energy Information Administration (EIA) Indexed Site

    ... and manufacturer information. - Provide a relative ... and clothes dryers in 2015 * ENERGY STAR continues to ... (HHV) of the fuel. **Electricity consumption is for ...

  2. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 APPENDIX C EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Final DISCLAIMER This presentation was prepared as an account of work sponsored by

  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)

    5 APPENDIX D EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Advanced Case Final DISCLAIMER This presentation was prepared as an account of work

  4. "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel...

    U.S. Energy Information Administration (EIA) Indexed Site

    2 Relative Standard Errors for Table 5.2;" " Unit: Percents." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal"...

  5. "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b...

    U.S. Energy Information Administration (EIA) Indexed Site

    6 Relative Standard Errors for Table 5.6;" " Unit: Percents." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG...

  6. "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel...

    U.S. Energy Information Administration (EIA) Indexed Site

    4 Relative Standard Errors for Table 5.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG...

  7. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    U.S. Energy Information Administration (EIA) Indexed Site

    ... For this analysis, the efficiency is 98% to account for IR losses and fan inefficiency. * Installation time and costs are estimated to be minimal. 112 Commercial Electric ...

  8. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    U.S. Energy Information Administration (EIA) Indexed Site

    ... time and costs are estimated to be minimal. 112 Commercial Electric Resistance ... time and costs are estimated to be minimal. 112 Commercial Electric Resistance ...

  9. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    3,"WGL Energy Services, Inc.","Investor-owned",1270636,59707,1210929,0,0 4,"Direct Energy Business Marketing, LLC","Investor-owned",1208043,0,839195,220720,148128 5,"Direct Energy ...

  10. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    Maine" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NextEra Energy Power Marketing","Investor-owned",19844...

  11. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    NewEnergy, Inc","Investor-owned",469721,0,296950,149198,23573 4,"TransCanada Power Marketing, Ltd.","Investor-owned",301970,0,0,301970,0 5,"Direct Energy Business ...

  12. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    NewEnergy, Inc","Investor-owned",3073373,0,2140922,923167,9284 5,"TransCanada Power Marketing, Ltd.","Investor-owned",2374650,0,0,2374650,0 " ","Total sales, top five ...

  13. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    4,"Niagara Mohawk Power Corp.","Investor-owned",13152596,8914956,3220135,1017505,0 5,"Direct Energy Business Marketing, LLC","Investor-owned",8604263,0,4198880,4405383,0 " ...

  14. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    3,"United Illuminating Co","Investor-owned",1771412,1179978,547455,43979,0 4,"TransCanada Power Marketing, Ltd.","Investor-owned",1347975,0,0,1347975,0 5,"Direct Energy ...

  15. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    3,"PECO Energy Co","Investor-owned",11394476,8577010,2270505,546961,0 4,"Talen Energy Marketing, LLC","Investor-owned",10381698,1509992,5324011,3260638,287057 5,"PPL ...

  16. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    Energy LLC - (MT)","Investor-owned",5974533,2398528,3120726,455279,0 2,"Talen Energy Marketing, LLC","Investor-owned",2202299,0,131400,2070899,0 3,"Flathead Electric ...

  17. Table 3. Top five retailers of electricity, with end use sectors...

    U.S. Energy Information Administration (EIA) Indexed Site

    Electric Coop Corp","Cooperative",1904813,1241089,190612,473112,0 " ","Total sales, top five providers",,32825557,11112603,8604957,13107894,103 " ","Percent of total state...

  18. Hydrogen Production: Photobiological

    Broader source: Energy.gov [DOE]

    The photobiological hydrogen production process uses microorganisms and sunlight to turn water, and sometimes organic matter, into hydrogen.

  19. Bistatic SAR: Imagery & Image Products.

    SciTech Connect (OSTI)

    Yocky, David A.; Wahl, Daniel E.; Jakowatz, Charles V,

    2014-10-01

    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.

  20. Continuous Succinic Acid Production by Actinobacillus succinogenes on Xylose-Enriched Hydrolysate

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bradfield, Michael F. A.; Mohagheghi, Ali; Salvachua, Davinia; Smith, Holly; Black, Brenna A.; Dowe, Nancy; Beckham, Gregg T.; Nicol, Willie

    2015-11-14

    Bio-manufacturing of high-value chemicals in parallel to renewable biofuels has the potential to dramatically improve the overall economic landscape of integrated lignocellulosic biorefineries. However, this will require the generation of carbohydrate streams from lignocellulose in a form suitable for efficient microbial conversion and downstream processing appropriate to the desired end use, making overall process development, along with selection of appropriate target molecules, crucial to the integrated biorefinery. Succinic acid (SA), a high-value target molecule, can be biologically produced from sugars and has the potential to serve as a platform chemical for various chemical and polymer applications. However, the feasibility ofmore » microbial SA production at industrially relevant productivities and yields from lignocellulosic biorefinery streams has not yet been reported.« less

  1. Continuous Succinic Acid Production by Actinobacillus succinogenes on Xylose-Enriched Hydrolysate

    SciTech Connect (OSTI)

    Bradfield, Michael F. A.; Mohagheghi, Ali; Salvachua, Davinia; Smith, Holly; Black, Brenna A.; Dowe, Nancy; Beckham, Gregg T.; Nicol, Willie

    2015-11-14

    Bio-manufacturing of high-value chemicals in parallel to renewable biofuels has the potential to dramatically improve the overall economic landscape of integrated lignocellulosic biorefineries. However, this will require the generation of carbohydrate streams from lignocellulose in a form suitable for efficient microbial conversion and downstream processing appropriate to the desired end use, making overall process development, along with selection of appropriate target molecules, crucial to the integrated biorefinery. Succinic acid (SA), a high-value target molecule, can be biologically produced from sugars and has the potential to serve as a platform chemical for various chemical and polymer applications. However, the feasibility of microbial SA production at industrially relevant productivities and yields from lignocellulosic biorefinery streams has not yet been reported.

  2. Coal production 1989

    SciTech Connect (OSTI)

    Not Available

    1990-11-29

    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.

  3. Techno-economic Analysis of PEM Electrolysis for Hydrogen Production

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    PEM Electrolysis for Hydrogen Production Strategic Analysis Inc. Whitney G. Colella Brian D. James Jennie M. Moton NREL Genevieve Saur Todd Ramsden Electrolytic Hydrogen Production Workshop NREL, Golden, Colorado 27 February 2014 2 Introduction and Purpose 2 * Analyze H 2 Production & Delivery (P&D) pathways to determine the most economical, environmentally-benign, and societally- feasible paths forward for the production and delivery of H 2 fuel for fuel cell vehicles (FCVs). *

  4. Determination of CMPO using HPLC -UV

    SciTech Connect (OSTI)

    Gracy Elias; Gary S. Groenewold; Bruce J. Mincher; Stephen P. Mezyk

    2012-06-01

    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.

  5. Sphericity determination using resonant ultrasound spectroscopy

    DOE Patents [OSTI]

    Dixon, Raymond D. (Los Alamos, NM); Migliori, Albert (Santa Fe, NM); Visscher, William M. (Los Alamos, NM)

    1994-01-01

    A method is provided for grading production quantities of spherical objects, such as roller balls for bearings. A resonant ultrasound spectrum (RUS) is generated for each spherical object and a set of degenerate sphere-resonance frequencies is identified. From the degenerate sphere-resonance frequencies and known relationships between degenerate sphere-resonance frequencies and Poisson's ratio, a Poisson's ratio can be determined, along with a "best" spherical diameter, to form spherical parameters for the sphere. From the RUS, fine-structure resonant frequency spectra are identified for each degenerate sphere-resonance frequency previously selected. From each fine-structure spectrum and associated sphere parameter values an asphericity value is determined. The asphericity value can then be compared with predetermined values to provide a measure for accepting or rejecting the sphere.

  6. Sphericity determination using resonant ultrasound spectroscopy

    DOE Patents [OSTI]

    Dixon, R.D.; Migliori, A.; Visscher, W.M.

    1994-10-18

    A method is provided for grading production quantities of spherical objects, such as roller balls for bearings. A resonant ultrasound spectrum (RUS) is generated for each spherical object and a set of degenerate sphere-resonance frequencies is identified. From the degenerate sphere-resonance frequencies and known relationships between degenerate sphere-resonance frequencies and Poisson's ratio, a Poisson's ratio can be determined, along with a 'best' spherical diameter, to form spherical parameters for the sphere. From the RUS, fine-structure resonant frequency spectra are identified for each degenerate sphere-resonance frequency previously selected. From each fine-structure spectrum and associated sphere parameter values an asphericity value is determined. The asphericity value can then be compared with predetermined values to provide a measure for accepting or rejecting the sphere. 14 figs.

  7. CX-012583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Production Experiment CX(s) Applied: B3.6Date: 41841 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  8. Methods of cracking a crude product to produce additional crude products

    DOE Patents [OSTI]

    Mo, Weijian; Roes, Augustinus Wilhelmus Maria; Nair, Vijay

    2009-09-08

    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.

  9. Potentiometric determination of uranium in organic extracts

    SciTech Connect (OSTI)

    Bodnar, L.Z.

    1980-05-01

    The potentimetric determination of uranium in organic extracts was studied. A mixture of 30% TBP, (tributylphosphate), in carbon tetrachloride was used, with the NBL (New Brunswick Laboratory) titrimetric procedure. Results include a comparative analysis performed on organic extracts of fissium alloys vs those performed on aqueous samples of the same alloys which had been treated to remove interfering elements. Also comparative analyses were performed on sample solutions from a typical scrap recovery operation common in the uranium processing industry. A limited number of residue type materials, calciner products, and presscakes were subjected to analysis by organic extraction. The uranium extraction was not hindered by 30% TBP/CCl/sub 4/. To fully demonstrate the capabilities of the extraction technique and its compatibility with the NBL potentiometric uranium determination, a series of uranium standards was subjected to uranium extraction with 30% TBP/CCl/sub 4/. The uranium was then stripped out of the organic phase with 40 mL of H/sub 3/PO/sub 4/, 15 mL of H/sub 2/0, and 1 mL of 1M FeSO/sub 4/ solution. The uranium was then determined in the aqueous phosphoric phase by the regular NBL potentiometric method, omitting only the addition of another 40 mL of H/sub 3/PO/sub 4/. Uranium determinations ranging from approximately 20 to 150 mg of U were successfully made with the same accuracy and precision normally achieved. 8 tables. (DP)

  10. Coal Production 1992

    SciTech Connect (OSTI)

    Not Available

    1993-10-29

    Coal Production 1992 provides comprehensive information about US coal production, the number of mines, prices, productivity, employment, productive capacity, and recoverable reserves to a wide audience including Congress, Federal and State agencies, the coal industry, and the general public. In 1992, there were 3,439 active coal mining operations made up of all mines, preparation plants, and refuse operations. The data in Table 1 cover the 2,746 mines that produced coal, regardless of the amount of production, except for bituminous refuse mines. Tables 2 through 33 include data from the 2,852 mining operations that produced, processed, or prepared 10 thousand or more short tons of coal during the period, except for bituminous refuse, and includes preparation plants with 5 thousand or more employee hours. These mining operations accounted for over 99 percent of total US coal production and represented 83 percent of all US coal mining operations in 1992.

  11. ARM - VAP Product - armbestns

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Productsarmbestnsarmbestns Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1178332 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARMBESTNS Station-based Surface Products Active Dates 2011.01.01 - 2011.12.31 Originating VAP Process Station-based Surface Products : ARMBESTNS Measurements The measurements below provided by this product

  12. Microbial production of epoxides

    DOE Patents [OSTI]

    Clark, Thomas R.; Roberto, Francisco F.

    2003-06-10

    A method for microbial production of epoxides and other oxygenated products is disclosed. The method uses a biocatalyst of methanotrophic bacteria cultured in a biphasic medium containing a major amount of a non-aqueous polar solvent. Regeneration of reducing equivalents is carried out by using endogenous hydrogenase activity together with supplied hydrogen gas. This method is especially effective with gaseous substrates and cofactors that result in liquid products.

  13. Production | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Research & Development » Algal Biofuels » Production Production PNNL image 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. Resource Use Resources necessary to grow algae sustainably include non-arable land, non-potable water, waste nutrient streams, waste carbon dioxide, sufficient sunlight, and supporting infrastructure

  14. Production | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Production Production PNNL image 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. Resource Use Resources necessary to grow algae sustainably include non-arable land, non-potable water, waste nutrient streams, waste carbon dioxide, sufficient sunlight, and supporting infrastructure to access downstream processing operations.

  15. Wax Point Determinations Using Acoustic Resonance Spectroscopy

    SciTech Connect (OSTI)

    Bostick, D.T.; Jubin, R.T.; Schmidt, T.W.

    2001-06-01

    The thermodynamic characterization of the wax point of a given crude is essential in order to maintain flow conditions that prevent plugging of undersea pipelines. This report summarizes the efforts made towards applying an Acoustic Cavity Resonance Spectrometer (ACRS) to the determination of pressures and temperatures at which wax precipitates from crude. Phillips Petroleum Company, Inc., the CRADA participant, supplied the ACRS. The instrumentation was shipped to Dr. Thomas Schmidt of ORNL, the CRADA contractor, in May 2000 after preliminary software development performed under the guidance of Dr. Samuel Colgate and Dr. Evan House of the University of Florida, Gainesville, Fl. Upon receipt it became apparent that a number of modifications still needed to be made before the ACRS could be precisely and safely used for wax point measurements. This report reviews the sequence of alterations made to the ACRS, as well as defines the possible applications of the instrumentation once the modifications have been completed. The purpose of this Cooperative Research and Development Agreement (CRADA) between Phillips Petroleum Company, Inc. (Participant) and Lockheed Martin Energy Research Corporation (Contractor) was the measurement of the formation of solids in crude oils and petroleum products that are commonly transported through pipelines. This information is essential in the proper design, operation and maintenance of the petroleum pipeline system in the United States. Recently, new petroleum discoveries in the Gulf of Mexico have shown that there is a potential for plugging of undersea pipeline because of the precipitation of wax. It is important that the wax points of the expected crude oils be well characterized so that the production facilities for these new wells are capable of properly transporting the expected production. The goal of this work is to perform measurements of solids formation in crude oils and petroleum products supplied by the Participant. It is anticipated that these data will be used in the design of new production facilities and in the development of thermodynamic models that describe the behavior of wax-saturated petroleum.

  16. U.S. Department of Energy Categorical Exclusion Determination Form

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Final Rulemaking for Energy Conservation Standards for Pumps (1904-AC54) EERE- Buildings Technology Program Nationwide In this final rule, DOE proposes new energy conservation standards for pumps. DOE has determined that the energy conservation standards for these products would result in significant conservation of energy, and are technologically feasible and economically justified. These proposed standards would apply to all products listed in Table I.1 of the final rule and manufactured in,

  17. U.S. Department of Energy Categorical Exclusion Determination Form

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Commercial Boilers (1904-AD01) EERE- Buildings Technology Program Nationwide In this proposed rule, DOE proposes new energy conservation standards for commercial boilers. DOE has determined that the amended energy conservation standards for these products would result in significant conservation of energy, and are technologically feasible and economically justified. These proposed standards, if adopted, would apply to all products listed in Table I.1 of the Proposed Rulemaking and manufactured

  18. U.S. Department of Energy Categorical Exclusion Determination Form

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    General Service Lamps (1904-AD09) EERE- Buildings Technology Program Nationwide In this proposed rule, DOE proposes new energy conservation standards for general service lamps. DOE has determined that the energy conservation standards for these products would result in significant conservation of energy, and are technologically feasible and economically justified. These proposed standards, if adopted, would apply to all products listed in Table I.1 of the Proposed Rulemaking and manufactured in,

  19. U.S. Department of Energy Categorical Exclusion Determination Form

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Ceiling Fan Light Kits (RIN: 1904-AC87) EERE- Buildings Technology Program Nationwide In this final rule, DOE proposes new and amended energy conservation standards for ceiling fan light kits. DOE has determined that the amended energy conservation standards for these products would result in significant conservation of energy, and are technologically feasible and economically justified. These standards apply to all products listed in Table I.1 of the Final Rule and manufactured in, or imported

  20. U.S. Department of Energy Categorical Exclusion Determination Form

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Commercial Prerinse Spray Valves (RIN: 1904-AD31) EERE- Buildings Technology Program Nationwide In this final rule, DOE proposes new and amended energy conservation standards for commercial prerinse spray valves. DOE has determined that the amended energy conservation standards for these products would result in significant conservation of energy, and are technologically feasible and economically justified. These standards, if adopted, would apply to all products listed in Table I.1 of the Final