National Library of Energy BETA

Sample records for ten end-use services14

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

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

    Data for" ,"Data 1","California Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: California Natural Gas Consumption by End Use" ...

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

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

    Data for" ,"Data 1","Virginia Natural Gas Consumption by End ... 11:05:20 AM" "Back to Contents","Data 1: Virginia Natural Gas Consumption by End Use" ...

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

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

    Data for" ,"Data 1","Oklahoma Natural Gas Consumption by End ... 11:05:14 AM" "Back to Contents","Data 1: Oklahoma Natural Gas Consumption by End Use" ...

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

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

    Data for" ,"Data 1","Texas Natural Gas Consumption by End ... 6:36:11 AM" "Back to Contents","Data 1: Texas Natural Gas Consumption by End Use" ...

  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. Ten Problems

    Office of Scientific and Technical Information (OSTI)

    Ten Problems in Experimental Mathematics David H. Bailey ∗ , Jonathan M. Borwein † , Vishaal Kapoor ‡ and Eric Weisstein § September 21, 2004 Introduction This article was stimulated by the recent SIAM "100 Digit Challenge" of Nick Trefethen, beautifully described in [12]. Indeed, these ten numeric challenge problems are also listed in [14], where they are followed by the ten symbolic/numeric challenge problems that are discussed in this article. Our intent was to present ten

  7. ,"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 ...

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

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas ...

  9. ,"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 ...

  10. 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...

  11. 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:...

  12. Alternative Strategies for Low Pressure End Uses | Department...

    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 ...

  13. 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.

  14. Residential Lighting End-Use Consumption

    Broader source: Energy.gov [DOE]

    The U.S. DOE Residential Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The framework 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.

  15. 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.

  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. 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.

  18. Healthcare Energy: Using End-Use Data to Inform Decisions

    Broader source: Energy.gov [DOE]

    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 consideration involves new metering, targeted energy audits, or end-use equipment upgrades.

  19. 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,

  20. Engineer End Uses for Maximum Efficiency; Industrial Technologies...

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

    End Uses for Maximum Efficiency Compressed air is one of the ... such as pneumatic tools, pneumatic controls, compressed air operated cylinders for machine actuation, ...

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

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

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

  2. 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....

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

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

    Data for" ,"Data 1","West Virginia Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: West Virginia Natural Gas Consumption by End Use" ...

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

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

    Data for" ,"Data 1","New Mexico Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: New Mexico Natural Gas Consumption by End Use" ...

  5. ,"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 ...

  6. ,"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 ...

  7. 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...

  8. 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...

  9. End-Use Sector Flowchart | Department of Energy

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

    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

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

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

    for Maximum Efficiency (August 2004) More Documents & Publications Maintaining System Air Quality Compressed Air Storage Strategies Alternative Strategies for Low Pressure End Uses

  11. Estimating Methods for Determining End-Use Water Consumption

    Broader source: Energy.gov [DOE]

    The Federal Building Metering Guidance specifies buildings with water using processes and whole building water consumption that exceeds 1,000 gallons per day must have a water meter installed. Below are methods for estimating daily water use for typical end-uses that drive building-level, end-use water consumption.

  12. 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...

  13. ,"U.S. 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","U.S. Natural Gas ...

  14. Distribution Infrastructure and End Use | Department of Energy

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

    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

  15. 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.

  16. 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.

  17. REFINING AND END USE STUDY OF COAL LIQUIDS

    SciTech Connect (OSTI)

    Unknown

    2002-01-01

    This document summarizes all of the work conducted as part of the Refining and End Use Study of Coal Liquids. There were several distinct objectives set, as the study developed over time: (1) Demonstration of a Refinery Accepting Coal Liquids; (2) Emissions Screening of Indirect Diesel; (3) Biomass Gasification F-T Modeling; and (4) Updated Gas to Liquids (GTL) Baseline Design/Economic Study.

  18. 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.

  19. Ten Year Site Plans

    Broader source: Energy.gov [DOE]

    A Ten Year Site Plan (TYSP) is the essential planning document linking a site's real property requirements to its mission in support of the Department of Energy’s overall strategic plan. It is a...

  20. 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.

  1. 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.

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

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

    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

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

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

    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 --

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

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

    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

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

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

    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

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

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

    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

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

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

    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

  8. Top Ten Innovations of 2013

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

    /about/_assets/images/icon-70th2.jpg Top Ten Innovations of 2013 Our featurres embrace complex issues around our science, technologies, and mission in a series of mini-articles that provide a context for our historical approach, current problem solving and our vision for the future. Faces of Science 70 Years of Innovations 50 Years of Space LANL Top Science 2014 Top Ten Innovations of 2013 Energy Sustainability Radical Supercomputing Science Digests TOP INNOVATIONS OF 2013 Science and

  9. "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel...

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

    "," ",,,"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 ...

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

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

    ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural ...

  11. ,"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"...

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

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

    An Assessment of Interval Data and Their Potential Application to Residential Electricity End- Use Modeling February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | An Assessment of Interval Data and Their Potential Application to Residential Electricity End-Use Modeling i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S.

  13. 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.

  14. Table 2.11 Commercial Buildings Electricity Consumption by End Use, 2003 (Trillion Btu)

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

    1 Commercial Buildings Electricity Consumption by End Use, 2003 (Trillion Btu) End Use Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other 1 Total All Buildings 167 481 436 88 1,340 24 381 69 156 418 3,559 Principal Building Activity Education 15 74 83 11 113 2 16 4 32 21 371 Food Sales 6 12 7 Q 46 2 119 2 2 10 208 Food Service 10 28 24 10 42 13 70 2 2 15 217 Health Care 6 34 42 2 105 1 8 4 10 36 248 Inpatient 3 25 38 2 76 1 4 2 7 21

  15. ,"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

  16. ,"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

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

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

    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. April 14, 2016 A before-and-after image of the OpenStudio Measure "AEDG K-12 school daylighting package" demonstrates the surgical power of Measures. Source: NREL. There's a Measure for That! OpenStudio Measures are short programs that can be used to transform models, create custom visualizations and

  18. 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.

  19. 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

  20. 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.

  1. ,"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

  2. ,"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

  3. Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2014

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

    Five Retailers of Electricity, with End Use Sectors, 2014" "Alaska" "megawatthours" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Golden Valley Elec Assn Inc","Cooperative",1219363,276627,129773,812963,0 2,"Chugach Electric Assn Inc","Cooperative",1134527,513748,563581,57198,0 3,"Anchorage Municipal

  4. 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).

  5. "Table B25. Energy End Uses, Floorspace for Non-Mall Buildings, 2003"

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

    5. Energy End Uses, Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Energy Used For (more than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manu- facturing" "All Buildings* ...............",64783,60028,56940,56478,22237,3138 "Building Floorspace" "(Square Feet)" "1,001 to 5,000

  6. 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

  7. 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.

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

    SciTech Connect (OSTI)

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

    2012-12-01

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

  9. 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.

  10. TenKsolar Inc | Open Energy Information

    Open Energy Info (EERE)

    tenKsolar Inc Place: Bloomington, Minnesota Zip: 55431 Product: Minnesota-based PV module maker. Coordinates: 42.883574, -90.926122 Show Map Loading map......

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

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

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

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

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

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

  13. 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.

  14. 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.

  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. 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.

  17. Bos ten AG | Open Energy Information

    Open Energy Info (EERE)

    Place: Regensburg-Westenviertel, Germany Zip: 93049 Sector: Solar Product: Partner of Beck Energy in development of a 3.2MW solar PV plant. References: Bos.ten AG1 This article...

  18. Ten Year Site Plans | Department of Energy

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

    A Ten Year Site Plan (TYSP) is the essential planning document linking a site's real property requirements to its mission in support of the Department of Energy's overall strategic ...

  19. 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.

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

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

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

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

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

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

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

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

    ...-",347224,"*",5,116,1,"*","--" " Electro-Chemical Processes","--",55414,"--","--","--","--...--",33354,"*","*",5,"*",0,"--" " Electro-Chemical Processes","--",5538,"--","--","--","--"...

  4. " Row: End Uses;"

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

    ...ve",511864,"*",3,106,1,"*",4.8 " Electro-Chemical Processes",86360,"--","--","--","--","--...ive",53477,"*","*",7,"*",0,8.8 " Electro-Chemical Processes",6295,"--","--","--","--","--"...

  5. " Row: End Uses;"

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

    Drive",1746,2,16,109,4,5,4.8 " Electro-Chemical Processes",295,"--","--","--","--","--",... Drive",182,"*",2,7,1,0,8.8 " Electro-Chemical Processes",21,"--","--","--","--","--",1 ...

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

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

    ...--",1560,5,13,99,7,7,"--",12.9 " Electro-Chemical Processes","--",298,"--","--","--","--",... *","--",8.1 " Electro-Chemical Processes","--",23,"--","--","--","--","...

  7. " Row: End Uses;"

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

    Drive",1454,"*",28,120,3,1 " Electro-Chemical Processes",263,"--","--","--","--","--" ... Drive",139,"*",2,5,"*",0 " Electro-Chemical Processes",19,"--","--","--","--","--" " ...

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

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

    ...-",422408,"*",4,126,"*",3,"--" " Electro-Chemical Processes","--",60323,"--","--","--","--...,"--",38962,"*",1,5,"*",0,"--" " Electro-Chemical Processes","--",6558,"--","--","--","--"...

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

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

    ...--",1426,2,16,109,4,5,"--",4.8 " Electro-Chemical Processes","--",242,"--","--","--","--",...,"--",152,"*",2,7,1,0,"--",8.8 " Electro-Chemical Processes","--",21,"--","--","--","--","...

  10. " Row: End Uses;"

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

    Drive",507223,"*",4,126,"*",3 " Electro-Chemical Processes",74825,"--","--","--","--","--... Drive",46977,"*",1,5,"*",0 " Electro-Chemical Processes",6569,"--","--","--","--","--" ...

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

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

    ...,"--",1185,"*",28,120,3,1,"--" " Electro-Chemical Processes","--",189,"--","--","--","--",...e","--",114,"*",2,5,"*",0,"--" " Electro-Chemical Processes","--",19,"--","--","--","--","...

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

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

    ...,457344,1,2,96,2,"*","--",12.7 " Electro-Chemical Processes","--",87200,"--","--","--","--...8832,1,"*",11,"*","*","--",8.1 " Electro-Chemical Processes","--",6858,"--","--","--","--"...

  13. " Row: End Uses;" " ...

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

    ...","--",1441,2,24,129,2,56,"--" " Electro-Chemical Processes","--",206,"--","--","--","--",...e","--",133,"*",6,5,"*",0,"--" " Electro-Chemical Processes","--",22,"--","--","--","--","...

  14. " Row: End Uses;"

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

    Drive",1731,2,24,129,2,56 " Electro-Chemical Processes",255,"--","--","--","--","--" ... Drive",160,"*",6,5,"*",0 " Electro-Chemical Processes",22,"--","--","--","--","--" " ...

  15. " Row: End Uses;"

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

    Drive",426121,"*",5,116,1,"*" " Electro-Chemical Processes",77146,"--","--","--","--","--... Drive",40701,"*","*",5,"*",0 " Electro-Chemical Processes",5597,"--","--","--","--","--" ...

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

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

    ...17998,"*",3,106,1,"*","--",4.8 " Electro-Chemical Processes","--",71045,"--","--","--","--...44630,"*","*",7,"*",0,"--",8.8 " Electro-Chemical Processes","--",6260,"--","--","--","--"...

  17. " Row: End Uses;"

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

    ...rive",551318,1,2,96,2,"*",11.3 " Electro-Chemical Processes",103615,"--","--","--","--","-...ve",57198,1,"*",11,"*","*",8.1 " Electro-Chemical Processes",6905,"--","--","--","--","--"...

  18. Table 7. U.S. Energy-Related Carbon Dioxide Emissions by End-Use Sector, 1990-20

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

    U.S. Energy-Related Carbon Dioxide Emissions by End-Use Sector, 1990-2009" " (Million Metric Tons Carbon Dioxide)" ,,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009 " Residential",,963.38,980.093,981.418,1039.553,1032.275,1039.099,1099.143,1089.835,1097.465,1121.649,1185.104,1171.525,1203.666,1230.086,1227.758,1261.459,1192.007,1242.002,1228.992,1162.154 "

  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. Table 2.5 Household Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005

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

    5 Household 1 Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005 Year Space Heating Air Conditioning Water Heating Appliances, 2 Electronics, and Lighting Natural Gas Elec- tricity 3 Fuel Oil 4 LPG 5 Total Electricity 3 Natural Gas Elec- tricity 3 Fuel Oil 4 LPG 5 Total Natural Gas Elec- tricity 3 LPG 5 Total Consumption (quadrillion Btu)<//td> 1978 4.26 0.40 2.05 0.23 6.94 0.31 1.04 0.29 0.14 0.06 1.53 0.28 1.46 0.03 1.77 1980 3.41 .27 1.30 .23 5.21 .36 1.15 .30 .22

  1. 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

  2. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  4. 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. 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.

  6. Critical Materials Institute Gains Ten Industrial and Research Affiliates |

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

    Department of Energy Critical Materials Institute Gains Ten Industrial and Research Affiliates Critical Materials Institute Gains Ten Industrial and Research Affiliates April 12, 2016 - 10:32am Addthis News release from the Ames Laboratory, April 11, 2016. The Critical Materials Institute, a U.S. Department of Energy Innovation Hub led by the Ames Laboratory, has gained ten new affiliates to its research program, seeking ways to eliminate and reduce reliance on rare-earth metals and other

  7. Schneider Electric Boasts Ten Facilities Certified to Superior Energy

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

    Performance in North America | Department of Energy Boasts Ten Facilities Certified to Superior Energy Performance in North America Schneider Electric Boasts Ten Facilities Certified to Superior Energy Performance in North America March 23, 2015 - 11:44am Addthis AMO is pleased to announce that Schneider Electric now has ten facilities certified to the Superior Energy Performance® (SEP(tm)) program and to ISO 50001 in the United States, Canada, and Mexico. This is the most SEP

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

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

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

  9. Critical Materials Institute Gains Ten Industrial and Research...

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

    Critical Materials Institute Gains Ten Industrial and Research Affiliates April 12, 2016 ... The Critical Materials Institute, a U.S. Department of Energy Innovation Hub led by the ...

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

    Open Energy Info (EERE)

    Impact Report: North Brawley Ten Megawatt Geothermal Demonstration Facility Abstract NA Author County of Imperial Planning Department Published WESTEC SERVICES, INC., 1979...

  11. COLLOQUIUM: Superconductors for Fusion for Next Ten Years | Princeton...

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

    COLLOQUIUM: Superconductors for Fusion for Next Ten Years Professor David Larbalestier Florida State University - National High Magnetic Field Laboratory Present fusion devices ...

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

    Open Energy Info (EERE)

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

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

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

    8 Budget Request Twenty in Ten: Strengthening America's Energy Security Alexander Karsner Assistant Secretary Office of Energy Efficiency and Renewable Energy February 2007 2 ...

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

    Open Energy Info (EERE)

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

  15. 2014-2023 Ten-Year Site Plan

    Broader source: Energy.gov [DOE]

    The Idaho National Laboratory (INL) Ten-Year Site Plan for Fiscal Year 2014 outlines the vision, strategy, and progress toward delivering and sustaining world-leading capabilities needed for the...

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

    National Nuclear Security Administration (NNSA)

    in the United States District Court for the District of New Mexico NNSA Ten-Year Site Plan FY 2016-2025 Approval Memorandum TYSP Guidance Related Topics infrastructure and...

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

    Open Energy Info (EERE)

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

  18. Communication measures to bridge ten millennia. [Contains glossary]

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Communication measures to bridge ten millennia. [Contains glossary] Citation Details In-Document Search Title: Communication measures to bridge ten millennia. [Contains glossary] × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in energy

  19. Development of a ten inch manipulators-based, flexible, broadband

    Office of Scientific and Technical Information (OSTI)

    two-crystal spectrometer (Journal Article) | SciTech Connect Journal Article: Development of a ten inch manipulators-based, flexible, broadband two-crystal spectrometer Citation Details In-Document Search Title: Development of a ten inch manipulators-based, flexible, broadband two-crystal spectrometer We have developed and implemented a broadband X-ray spectrometer with a variable energy range for use at the Atomic Weapons Establishment's Orion Laser. The spectrometer covers an energy

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

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

    Ten Projects Awarded NERSC Allocations under DOE's ALCC Program Ten Projects Awarded NERSC Allocations under DOE's ALCC Program June 24, 2014 43251113992ff3baa1edb NERSC Computer Room. Photo by Roy Kaltschmidt, LBNL Under the Department of Energy's (DOE) ASCR Leadership Computing Challenge (ALCC) program, 10 research teams at national laboratories and universities have been awarded 382.5 million hours of computing time at the National Energy Research Scientific Computing Center (NERSC). The

  1. 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.

  2. 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.

  3. 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.

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

    National Nuclear Security Administration (NNSA)

    Infrastructure and Operations Ten-Year Site Plans (TYSP) The FY 2016-2025 TYSPs are planning documents and as such, represent possible paths to support configuration of the nuclear weapons complex. The TYSPs are not binding plans of action. Current Final TYSPs, FY2016-2025: Kansas City Plant TYSP Lawrence Livermore National Laboratory TYSP Los Alamos National Laboratory TYSP Nevada Field Office TYSP Office of Secure Transportation TYSP Pantex TYSP Sandia National Laboratories TYSP Savannah River

  5. Ten Los Alamos scientists honored by American Physical Society

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

    Scientists honored by American Physical Society Ten Los Alamos scientists honored by American Physical Society Tariq Aslam, Steven Batha, Eric Bauer, Hou-Tong Chen, Diego Alejandro Dalvit, Dinh Nguyen, Alan Perelson, Filip Ronning, Alexander Saunders and Glen Wurden were named this week by the national organization. November 12, 2015 Tariq Aslam, Steven Batha, Eric Bauer, Hou-Tong Chen, Diego Alejandro Dalvit, Dinh Nguyen, Alan Perelson, Filip Ronning, Alexander Saunders and Glen Wurden Tariq

  6. Ten New Mexico small businesses recognized at Innovation Celebration April

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

    3 NM small businesses recognized at Innovation Celebration Ten New Mexico small businesses recognized at Innovation Celebration April 3 Small businesses participating in projects using the technical expertise and assistance of Los Alamos and Sandia are being recognized. March 26, 2014 Molly Cernicek of SportXast Molly Cernicek of SportXast Contact Steve Sandoval Communications Office (505) 665-9206 Email "The technical expertise Los Alamos and Sandia principal investigators provide to

  7. Ten local businesses to receive Venture Acceleration Fund awards

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

    Venture Acceleration Fund awards Ten local businesses to receive Venture Acceleration Fund awards LANS and its partners recently awarded more than $400,000 to local businesses to help them grow and develop in Northern New Mexico. June 26, 2014 Elizabeth and Roger Inman of Purple Adobe Lavender Farm in Abiquiu, N.M. Elizabeth and Roger Inman of Purple Adobe Lavender Farm in Abiquiu, N.M. Contact Steve Sandoval Communications Office (505) 665-9206 Email Julie Ruth Regional Development Corporation

  8. Office of Secure Transportation Ten-Year Site Plan

    National Nuclear Security Administration (NNSA)

    Secure Transportation Ten-Year Site Plan Fiscal Year 2016 OST M 1.02 Prepared by Facilities Management Branch NOTICE This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency thereof, nor any of their employees makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process

  9. DOE Selects Ten Projects to Conduct Advanced Turbine Technology Research

    Broader source: Energy.gov [DOE]

    Ten university projects to conduct advanced turbine technology research under the Office of Fossil Energy’s University Turbine Systems Research Program have been selected by the U.S. Department of Energy for additional development. Developing gas turbines that run with greater cleanness and efficiency than current models is of great benefit both to the environment and the power industry, but development of such advanced turbine systems requires significant advances in high-temperature materials science, an understanding of combustion phenomena, and development of innovative cooling techniques to maintain integrity of turbine components.

  10. The examination of pretreatment and end use technologies for dirty fuels produced from coal gasification, coal pyrolysis, oil shale processing, and heavy oil recovery: Final technology status report

    SciTech Connect (OSTI)

    Raden, D.P.; Page, G.C.

    1987-01-01

    The objective of this study was to identify pretreatment (upgrading) and end use technologies which: (1) reduce environmental, health and safety impacts, (2) reduce pollution control costs, or (3) reduce upgrading costs of ''dirty fuels'' while producing higher value energy products. A comprehensive list of technologies was developed for upgrading the various dirty fuels to higher value and products. Fifty-two process flow concepts were examined and from these four process flow concepts were chosen for further development. These are: heavy oil recovery and in situ hydrotreating; wet air oxidation in a downhole reactor; total raw gas shift; and high density fuels via vacuum devolatilization. Each of these four process flow concepts described exhibit the potential for reducing environmental, health and safety impacts and/or pollution control costs. In addition these concepts utilize dirty fuels to produce an upgraded or higher value energy product. These concepts should be developed and evaluated in greater detail to assess their technical and economical viability. Therefore, it is recommended that a program plan be formulated and a proof-of-concept research program be performed for each process concept. 3 refs., 5 figs., 11 tabs.

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

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

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

  12. Ten Things You Didn't Know About the Electron Racetrack at Brookhaven...

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

    Ten Things You Didn't Know About the Electron Racetrack at Brookhaven National Laboratory Ten Things You Didn't Know About the Electron Racetrack at Brookhaven National Laboratory ...

  13. A critical comparison of ten disposable cup LCAs

    SciTech Connect (OSTI)

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

    2013-11-15

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

  14. Alternative Fuels Data Center: Ten Ways You Can Start to Cut Petroleum Use

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Right Now Ten Ways You Can Start to Cut Petroleum Use Right Now to someone by E-mail Share Alternative Fuels Data Center: Ten Ways You Can Start to Cut Petroleum Use Right Now on Facebook Tweet about Alternative Fuels Data Center: Ten Ways You Can Start to Cut Petroleum Use Right Now on Twitter Bookmark Alternative Fuels Data Center: Ten Ways You Can Start to Cut Petroleum Use Right Now on Google Bookmark Alternative Fuels Data Center: Ten Ways You Can Start to Cut Petroleum Use Right Now on

  15. 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.

  16. Ten Hundred and One word challenge | U.S. DOE Office of Science (SC)

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

    DOE Announcements » People's Choice Voting for the Ten Hundred and One Word Challenge Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights News & Events EFRC News EFRC Events DOE Announcements Publications History Contact BES Home 07.10.13 People's Choice Voting for the Ten Hundred and One Word Challenge Print Text Size: A A A Subscribe FeedbackShare Page The Ten Hundred and One Word Challenge External link invited the 46 Energy Frontier Research Centers

  17. Energy Department Announces Ten New Projects to Apply High-Performance

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

    Computing to Manufacturing Challenges | Department of Energy Ten New Projects to Apply High-Performance Computing to Manufacturing Challenges Energy Department Announces Ten New Projects to Apply High-Performance Computing to Manufacturing Challenges February 17, 2016 - 9:30am Addthis The Energy Department today announced $3 million for ten new projects that will enable private-sector companies to use high-performance computing resources at the department's national laboratories to tackle

  18. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

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

    Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent ... Guidance For Energy Efficiency And Conservation Block Grant Grantees On Financing Programs ...

  19. Energy Department Announces Ten New Projects to Apply High-Performance...

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

    Ten New Projects to Apply High-Performance Computing to Manufacturing Challenges Energy ... initiative pairs leading clean energy technology companies with the world-class ...

  20. FY 2014-2024 Ten Year Site Plan Preparation Guidance | Department of Energy

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

    -2024 Ten Year Site Plan Preparation Guidance FY 2014-2024 Ten Year Site Plan Preparation Guidance PDF icon 2014.03.13 FY14 TYSP Guidance.pdf More Documents & Publications DOE Indian Energy Purchase Preference Policy Guidance State Energy Program Notice 14-2, Implementation Model Guidance 2010.01.15_FY10_TYSP_Guidance_memo.pdf

  1. Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Citation Details In-Document Search Title: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres In budding yeast, Cdc13, Stn1, and Ten1 form a heterotrimeric complex (CST) that is essential for telomere protection and maintenance. Previous bioinformatics analysis revealed a putative oligonucleotide/oligosaccharide-binding (OB) fold at the N terminus of Stn1 (Stn1N) that shows limited sequence similarity to the OB fold of

  2. Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Citation Details In-Document Search Title: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres In budding yeast, Cdc13, Stn1, and Ten1 form a heterotrimeric complex (CST) that is essential for telomere protection and maintenance. Previous bioinformatics analysis revealed a putative oligonucleotide/oligosaccharide-binding (OB) fold at the N terminus of Stn1 (Stn1N) that shows limited sequence similarity to the OB fold of

  3. Ten Projects Selected by DOE to Advance State-of-the-Art Carbon Capture

    Energy Savers [EERE]

    from Coal Power Plants | Department of Energy Ten Projects Selected by DOE to Advance State-of-the-Art Carbon Capture from Coal Power Plants Ten Projects Selected by DOE to Advance State-of-the-Art Carbon Capture from Coal Power Plants July 7, 2010 - 1:00pm Addthis Washington, DC - Ten projects aimed at developing advanced technologies for capturing carbon dioxide (CO2) from coal combustion have been selected by the U.S. Department of Energy (DOE) under its Innovations for Existing Plants

  4. 2014-2023 Ten-Year Site Plan | Department of Energy

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

    4-2023 Ten-Year Site Plan 2014-2023 Ten-Year Site Plan The Idaho National Laboratory (INL) Ten-Year Site Plan for Fiscal Year 2014 outlines the vision, strategy, and progress toward delivering and sustaining world-leading capabilities needed for the core mission of the laboratory - nuclear energy research, development and demonstration (RD&D) and multi-program missions in energy security and national and homeland security. With the largest concentration of operating reactor and fuel cycle

  5. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

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

    EECBG PROGRAM NOTICE 11-002 EFFECTIVE DATE: July 28, 2011 SUBJECT: CLARIFICATION OF TEN PERCENT LIMATION ON USE OF FUNDS FOR ADMINISTRATIVE EXPENSES PURPOSE To provide guidance to...

  6. Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011

    Broader source: Energy.gov [DOE]

    Each year, the Environmental Protection Agency (EPA) produces a list of the top ten most fuel efficient vehicles for the model year. In past years, it was the small, lightweight vehicles that...

  7. Fact #611: February 22, 2010 Top Ten Best Selling Cars and Light Trucks

    Broader source: Energy.gov [DOE]

    The top ten lists of best selling cars and light trucks in 2009 show that the Toyota Camry was the best selling car, while the Ford F-Series pickup was the best selling light truck. The F-Series...

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

    Broader source: Energy.gov [DOE]

    In Wyoming, more than 10% of registered light vehicles are fueled by diesel making their State number one in terms of diesel share. All other States on the top ten list are also western States. The...

  9. EECBG 11-002 Clarification of Ten Percent Limitation on Use of Funds for Administrative Expenses

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent limitation, administrative expenses, the Energy Independence and Security Act of 2007.

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

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

    Energy Service Contracts | Department of Energy Ten Ways to Lower Perceived Risk and Finance Rates within Federal Utility Energy Service Contracts Ten Ways to Lower Perceived Risk and Finance Rates within Federal Utility Energy Service Contracts Federal agencies can use the following 10 methods during project negotiations to lower perceived project risk and finance rates to get the best value from federal utility energy service contracts (UESCs). 1. Remember: Time is Money Money can be saved

  11. The FY 2008 Budget Request - Twenty in Ten: Strengthening America's Energy

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

    Security | Department of Energy 8 Budget Request - Twenty in Ten: Strengthening America's Energy Security The FY 2008 Budget Request - Twenty in Ten: Strengthening America's Energy Security DOE's Office of Energy Efficiency and Renewable Energy's Fiscal Year 2008 budget presentation. PDF icon FY08_budget_request.pdf More Documents & Publications FY 2011 Budget Roll-Out Presentation The FY 2005 Budget Request The FY 2006 Budget Request

  12. NAMII in the Top Ten Innovations to Watch List | Department of Energy

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

    NAMII in the Top Ten Innovations to Watch List NAMII in the Top Ten Innovations to Watch List October 10, 2013 - 12:04pm Addthis A 3D printer at NAMII's facility in Youngstown, Ohio. Photo credit: National Additive Manufacturing Innovation Institute. A 3D printer at NAMII's facility in Youngstown, Ohio. Photo credit: National Additive Manufacturing Innovation Institute. Additive manufacturing is making a big impression and the National Additive Manufacturing Innovation Institute (NAMII) is right

  13. Minnesota Natural Gas Consumption by End Use

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

    22,872 27,097 35,845 NA NA NA 2001-2016 Residential 2,362 5,207 10,741 18,067 24,809 NA 1989-2016 Commercial 2,786 5,206 8,381 12,550 16,259 14,811 1989-2016 Industrial 11,305 ...

  14. Tennessee Natural Gas Consumption by End Use

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

    18,246 18,807 24,268 29,015 44,796 37,150 2001-2016 Residential 1,163 1,982 4,847 7,765 16,024 12,051 1989-2016 Commercial 2,259 3,080 4,707 5,273 10,237 7,613 1989-2016 Industrial 8,683 9,162 9,248 9,813 12,165 11,147 2001-2016 Vehicle Fuel 8 9 8 9 10 9 2010-2016 Electric Power 6,133 4,574 5,458 6,156 6,360 6,331

  15. Texas Natural Gas Consumption by End Use

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

    291,178 276,726 267,183 307,656 333,433 290,730 2001-2016 Residential 5,116 5,934 9,793 24,772 40,886 32,681 1989-2016 Commercial 9,558 10,313 12,553 17,584 22,844 19,794 1989-2016 Industrial 125,076 128,958 134,340 141,897 145,142 132,333 2001-2016 Vehicle Fuel 290 300 290 300 333 301 2010-2016 Electric Power 151,139 131,222 110,207 123,103 124,228 105,622

  16. Utah Natural Gas Consumption by End Use

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

    10,440 10,855 20,739 27,782 28,211 22,064 2001-2016 Residential 1,320 2,002 8,290 12,265 12,761 9,010 1989-2016 Commercial 1,170 1,474 4,732 6,881 7,089 5,319 1989-2016 Industrial 2,757 2,969 3,120 3,612 3,608 3,634 2001-2016 Vehicle Fuel 22 22 22 22 25 22 2010-2016 Electric Power 5,171 4,387 4,575 5,002 4,727 4,079

  17. Vermont Natural Gas Consumption by End Use

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

    566 875 1,024 1,168 1,695 1,459 2001-2016 Residential 79 164 288 393 576 541 1989-2016 Commercial 336 522 557 586 899 714 1989-2016 Industrial 150 188 178 188 220 204 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 1 0 1 1 0 --

  18. Virginia Natural Gas Consumption by End Use

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

    33,817 27,516 36,489 44,149 NA 54,140 2001-2016 Residential 1,913 3,395 6,309 7,966 17,223 14,368 1989-2016 Commercial 3,658 4,647 6,019 6,065 11,580 9,235 1989-2016 Industrial 6,116 7,701 7,582 7,259 NA 7,756 2001-2016 Vehicle Fuel 20 21 20 21 23 21 2010-2016 Electric Power 22,109 11,752 16,558 22,839 23,125 22,761

  19. Washington Natural Gas Consumption by End Use

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

    2,103 25,442 NA NA NA 29,337 2001-2016 Residential 2,519 4,019 9,599 14,167 13,821 9,280 1989-2016 Commercial 2,709 3,462 5,744 8,090 7,971 5,823 1989-2016 Industrial 5,921 6,680 NA NA NA 6,785 2001-2016 Vehicle Fuel 40 42 40 42 46 42 2010-2016 Electric Power 10,914 11,239 10,383 9,481 9,841 7,407

  20. Wisconsin Natural Gas Consumption by End Use

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

    3,582 29,272 38,845 49,528 66,422 57,410 2001-2016 Residential 2,498 6,080 11,070 16,428 24,782 19,769 1989-2016 Commercial 2,867 4,985 7,776 10,352 15,417 13,091 1989-2016 Industrial 9,103 10,742 12,289 12,859 15,948 14,197 2001-2016 Vehicle Fuel 10 10 10 10 11 10 2010-2016 Electric Power 9,104 7,455 7,700 9,879 10,264 10,342

  1. 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...

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

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

    ... 39979,13144,2270,2201,4272,,4401 40009,12199,1930,1901,4243,,4126 40040,12779,1884,1920,4390,,4585 40071,10268,2000,2321,4322,,1626 40101,13672,4317,3170,4983,,1203 ...

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

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

    ...8,3440,1884,,1201 38883,9251,1972,3084,1899,,2296 38913,11438,1654,2479,1813,,5490 38944,11236,1617,2784,1978,,4856 38975,8042,2121,3434,1374,,1114 39005,11895,4315,4622,1884,,1074 ...

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

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

    ...7787,5612,1540,1026,1902,,1145 37817,6174,1358,902,1911,,2002 37848,6166,1355,973,1955,,1884 37879,6229,1856,1243,1950,,1181 37909,7898,2988,1718,2117,,1076 37940,13299,6914,3783,2...

  5. Arkansas Natural Gas Consumption by End Use

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

    17,958 14,702 18,552 22,561 30,965 24,701 2001-2016 Residential 546 731 2,155 3,933 7,500 5,665 1989-2016 Commercial 2,571 3,048 3,863 4,724 7,048 6,010 1989-2016 Industrial 6,286 6,790 7,098 7,148 7,825 7,184 2001-2016 Vehicle Fuel 3 3 3 3 3 3 2010-2016 Electric Power 8,552 4,130 5,434 6,754 8,589 5,839

  6. Colorado Natural Gas Consumption by End Use

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

    9,128 22,856 40,791 49,929 48,740 38,586 2001-2016 Residential 3,036 5,976 16,679 23,229 22,390 17,313 1989-2016 Commercial 1,694 2,859 6,789 9,397 9,251 7,255 1989-2016 Industrial 4,790 5,823 7,640 8,931 9,107 7,704 2001-2016 Vehicle Fuel 26 27 26 27 30 27 2010-2016 Electric Power 9,582 8,172 9,658 8,346 7,962 6,288

  7. Delaware Natural Gas Consumption by End Use

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

    7,939 6,849 6,797 7,386 9,040 8,389 2001-2016 Residential 157 378 720 978 2,084 1,879 1989-2016 Commercial 432 812 1,065 1,177 2,003 1,658 1989-2016 Industrial 2,448 2,590 2,682 3,040 2,821 2,517 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 4,903 3,068 2,330 2,190 2,132 2,335

  8. Florida Natural Gas Consumption by End Use

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

    118,468 114,127 106,003 105,637 106,331 97,329 2001-2016 Residential 632 1,081 1,216 1,440 2,848 2,446 1989-2016 Commercial 4,441 5,003 5,214 5,660 7,017 6,427 1989-2016 Industrial 7,385 7,997 7,774 8,933 9,502 8,746 2001-2016 Vehicle Fuel 17 18 17 18 19 18 2010-2016 Electric Power 105,993 100,028 91,782 89,587 86,943 79,693

  9. Georgia Natural Gas Consumption by End Use

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

    49,172 52,445 55,858 56,505 79,308 67,395 2001-2016 Residential 3,794 5,873 10,248 11,943 26,193 19,976 1989-2016 Commercial 2,417 3,159 4,695 5,185 10,325 7,942 1989-2016 Industrial 12,244 13,714 13,291 13,391 14,101 13,756 2001-2016 Vehicle Fuel 96 99 96 99 111 100 2010-2016 Electric Power 30,621 29,598 27,527 25,887 28,578 25,621

  10. Hawaii Natural Gas Consumption by End Use

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

    233 240 228 251 259 247 2001-2016 Residential 41 44 44 47 52 47 1989-2016 Commercial 153 152 148 167 159 155 1989-2016 Industrial 37 43 36 36 47 44 2001-2016 Vehicle Fuel 1 1 1 1 1 1 2010-2016 Electric Power -- -- -- -- -- --

  11. Idaho Natural Gas Consumption by End Use

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

    6,838 7,606 11,261 13,715 13,779 11,067 2001-2016 Residential 638 995 3,624 4,740 4,467 3,241 1989-2016 Commercial 694 1,066 2,068 2,719 2,781 2,076 1989-2016 Industrial 2,564 3,032 3,315 3,403 3,647 3,335 2001-2016 Vehicle Fuel 13 13 13 13 15 13 2010-2016 Electric Power 2,930 2,500 2,240 2,840 2,870 2,401

  12. Illinois Natural Gas Consumption by End Use

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

    43,969 57,973 NA 107,844 151,423 128,292 2001-2016 Residential 8,021 18,056 35,960 50,744 78,595 62,355 1989-2016 Commercial 7,821 12,312 NA 24,179 35,911 30,543 1989-2016 Industrial 19,312 21,016 24,322 25,140 28,674 26,493 2001-2016 Vehicle Fuel 28 29 28 29 32 29 2010-2016 Electric Power 8,788 6,560 7,008 7,753 8,211 8,872

  13. Indiana Natural Gas Consumption by End Use

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

    39,873 48,080 59,575 72,031 92,671 79,178 2001-2016 Residential 2,432 5,799 11,746 16,881 27,835 21,691 1989-2016 Commercial 2,784 4,720 6,409 8,381 14,495 11,554 1989-2016 Industrial 26,713 28,848 29,980 33,462 36,985 34,155 2001-2016 Vehicle Fuel 2 2 2 2 2 2 2010-2016 Electric Power 7,942 8,711 11,439 13,305 13,353 11,776

  14. Iowa Natural Gas Consumption by End Use

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

    17,814 21,170 NA 32,191 40,243 34,191 2001-2016 Residential 1,260 2,268 5,686 8,921 13,190 10,164 1989-2016 Commercial 1,716 3,156 NA 6,246 8,771 7,041 1989-2016 Industrial 13,086 14,826 14,751 15,399 16,580 15,443 2001-2016 Vehicle Fuel 1 2 1 2 2 2 2010-2016 Electric Power 1,750 918 530 1,623 1,700 1,542

  15. Kansas Natural Gas Consumption by End Use

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

    1,628 12,195 NA 24,751 31,236 23,125 2001-2016 Residential 1,075 1,701 NA 8,698 13,126 9,206 1989-2016 Commercial 1,164 1,755 2,731 4,161 5,913 4,247 1989-2016 Industrial 7,725 8,738 8,919 11,086 11,471 9,114 2001-2016 Vehicle Fuel 1 1 1 1 1 1 2010-2016 Electric Power 1,662 W W 804 725 55

  16. 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...

  17. Alaska 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...

  18. Kentucky Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  19. Michigan Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  20. Oregon Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  1. Minnesota Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  2. Montana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  3. Ohio Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  4. Oregon 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...

  5. Nebraska Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  6. California Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  7. Maine Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  8. Wyoming 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...

  9. Connecticut Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  10. Michigan Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  11. Colorado Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  12. Ohio Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  13. Delaware Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  14. Vermont Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  15. Alaska Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  16. Indiana Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  17. Maryland Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  18. Wisconsin Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  19. Mississippi Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  20. Georgia Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  1. Louisiana Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  2. Maryland Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  3. Massachusetts Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  4. Virginia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  5. Louisiana Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  6. Tennessee Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  7. Alabama 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...

  8. Nevada Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  9. Pennsylvania Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  10. Florida Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  11. Mississippi Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  12. Nebraska Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  13. Wyoming Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  14. Utah Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  15. Washington Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  16. 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...

  17. California Natural Gas Consumption by End Use

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

    9,015 189,292 186,757 195,837 235,282 222,856 2001-2016 Residential 17,560 17,188 19,412 44,802 73,730 69,466 1989-2016 Commercial 16,537 15,250 16,321 26,389 29,820 26,589 ...

  18. Nevada Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Residential 1,854 1,467 1,108 1,176 1,209 1,436 1989-2015 Commercial 2,079 1,807 1,598 1,709 1,668 2,052 1989-2015 Industrial NA NA 1,165 NA NA 1,182 2001-2015 Vehicle Fuel 56 55...

  19. Kentucky Natural Gas Consumption by End Use

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

    1,294 858 858 912 845 1,565 1989-2015 Commercial 1,336 1,075 1,139 1,330 1,154 1,709 1989-2015 Industrial 8,722 8,564 8,478 8,791 8,464 8,840 2001-2015 Vehicle Fuel 0 2 2 2...

  20. Missouri Natural Gas Consumption by End Use

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

    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 ...

  1. Oklahoma Natural Gas Consumption by End Use

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

    38,010 34,185 42,019 50,354 55,937 NA 2001-2016 Residential 1,169 1,308 2,614 6,999 11,199 NA 1989-2016 Commercial 1,509 1,638 2,339 4,093 6,177 NA 1989-2016 Industrial 15,155 14,917 16,551 16,204 16,775 NA 2001-2016 Vehicle Fuel 33 34 33 34 38 35 2010-2016 Electric Power 20,143 16,289 20,482 23,024 21,749 16,047

  2. Pennsylvania Natural Gas Consumption by End Use

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

    67,203 78,980 87,069 96,515 133,446 119,940 2001-2016 Residential 4,892 11,789 18,582 24,976 46,310 38,599 1989-2016 Commercial 5,319 10,093 13,175 15,188 27,618 22,317 1989-2016 Industrial 17,224 18,923 19,211 20,699 23,708 23,498 2001-2016 Vehicle Fuel 30 31 30 31 35 31 2010-2016 Electric Power 39,738 38,145 36,071 35,621 35,776 35,495

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

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

    ...457344,1,2,96,2,"*","--",12.7 ," Electro-Chemical Processes","--",87200,"--","--","--","--...,31301,0,"*",7,"*",0,"--",1.2 ," Electro-Chemical Processes","--",57,"--","--","--","--","...

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

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

    ...-",1560,5,13,99,7,7,"--",12.9 ," Electro-Chemical Processes","--",298,"--","--","--","--",... *",8," *",0,"--",1.2 ," Electro-Chemical Processes","--"," *","--","--","--","--"...

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

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

    ...ive",551318,1,2,96,2,"*",11.3 ," Electro-Chemical Processes",103615,"--","--","--","--","-...rive",35070,0,"*",7,"*",0,1.2 ," Electro-Chemical Processes",72,"--","--","--","--","--",1 ...

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

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

    Drive",1731,2,24,129,2,56 ," Electro-Chemical Processes",255,"--","--","--","--","--" ... Drive",121,"*",3,11,"*",0 ," Electro-Chemical Processes","*","--","--","--","--","--" ...

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

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

    Drive",507223,"*",4,126,"*",3 ," Electro-Chemical Processes",74825,"--","--","--","--","--... Drive",35339,"*","*",10,"*",0 ," Electro-Chemical Processes",113,"--","--","--","--","--" ...

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

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

    ...e",511864,"*",3,106,1,"*",4.8 ," Electro-Chemical Processes",86360,"--","--","--","--","--... Drive",36479,0,1,13,"*",0,11 ," Electro-Chemical Processes","Q","--","--","--","--","--",...

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

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

    Drive",1454,"*",28,120,3,1 ," Electro-Chemical Processes",263,"--","--","--","--","--" ... Drive",124,"*","*",4,"*","*" ," Electro-Chemical Processes",1,"--","--","--","--","--" ," ...

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

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

    ...7998,"*",3,106,1,"*","--",4.8 ," Electro-Chemical Processes","--",71045,"--","--","--","--...-",32187,0,1,13,"*",0,"--",11 ," Electro-Chemical Processes","--","Q","--","--","--","--",...

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

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

    ...,"--",1441,2,24,129,2,56,"--" ," Electro-Chemical Processes","--",206,"--","--","--","--",...,"--",110,"*",3,11,"*",0,"--" ," Electro-Chemical Processes","--","*","--","--","--","--",...

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

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

    ...",347224,"*",5,116,1,"*","--" ," Electro-Chemical Processes","--",55414,"--","--","--","--...,32764,"*","*",4,"*","*","--" ," Electro-Chemical Processes","--",158,"--","--","--","--",...

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

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

    Drive",1746,2,16,109,4,5,4.8 ," Electro-Chemical Processes",295,"--","--","--","--","--",... Drive",124,0,3,13,"*",0,11 ," Electro-Chemical Processes","*","--","--","--","--","--",...

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

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

    Drive",1881,5,13,99,7,7,11.5 ," Electro-Chemical Processes",354,"--","--","--","--","--",... *",8," *",0,1.2 ," Electro-Chemical Processes","*","--","--","--","--","--",...

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

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

    ...",422408,"*",4,126,"*",3,"--" ," Electro-Chemical Processes","--",60323,"--","--","--","--...",32259,"*","*",10,"*",0,"--" ," Electro-Chemical Processes","--",112,"--","--","--","--",...

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

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

    ...-",1426,2,16,109,4,5,"--",4.8 ," Electro-Chemical Processes","--",242,"--","--","--","--",..."--",110,0,3,13,"*",0,"--",11 ," Electro-Chemical Processes","--","*","--","--","--","--",...

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

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

    ..."--",1185,"*",28,120,3,1,"--" ," Electro-Chemical Processes","--",189,"--","--","--","--",...-",112,"*","*",4,"*","*","--" ," Electro-Chemical Processes","--",1,"--","--","--","--","-...

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

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

    Drive",426121,"*",5,116,1,"*" ," Electro-Chemical Processes",77146,"--","--","--","--","--...rive",36373,"*","*",4,"*","*" ," Electro-Chemical Processes",159,"--","--","--","--","--" ...

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

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

    ,"Excel File Name:","ngconssumdcuspam.xls" ,"Available from Web Page:","http:www.eia.govdnavngngconssumdcuspam.htm" ,"Source:","Energy Information ...

  20. Massachusetts Natural Gas Consumption by End Use

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

    25,692 29,699 31,148 36,395 52,994 46,930 2001-2016 Residential 2,465 5,784 9,387 12,553 20,032 18,664 1989-2016 Commercial 4,066 7,399 9,210 10,044 17,790 13,347 1989-2016 Industrial 2,507 3,055 4,108 4,110 5,486 5,065 2001-2016 Vehicle Fuel 67 70 67 70 77 70 2010-2016 Electric Power 16,586 13,391 8,375 9,618 9,608 9,783

  1. Montana Natural Gas Consumption by End Use

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

    3,662 4,787 7,811 9,316 9,465 7,453 2001-2016 Residential 494 1,042 2,634 3,260 3,276 2,376 1989-2016 Commercial 689 1,158 2,508 3,107 3,244 2,434 1989-2016 Industrial 1,709 1,873 2,004 2,173 2,128 1,911 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 770 714 666 777 816 73

  2. Alabama Natural Gas Consumption by End Use

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

    454,456 534,779 598,514 666,712 615,407 634,678 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 10,460 10,163 10,367 12,389 12,456 10,055 1983-2014 Plant Fuel 6,470 6,441 6,939...

  3. Idaho Natural Gas Consumption by End Use

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

    78,166 75,647 77,343 83,274 98,843 87,647 1997-2014 Residential 25,531 23,975 26,666 23,924 27,370 24,616 1967-2014 Commercial 15,740 15,033 16,855 15,838 18,485 16,963...

  4. Oklahoma Natural Gas Consumption by End Use

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

    675,727 655,919 691,661 658,569 640,607 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 39,489 40,819 43,727 45,581 50,621 1983-2014 Plant Fuel 23,238 24,938 27,809 32,119 ...

  5. Arizona Natural Gas Consumption by End Use

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

    369,739 330,914 288,802 332,068 332,073 307,946 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 17 19 17 12 4 3 1983-2014 Pipeline & Distribution Use 20,846 15,447 13,158...

  6. 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 ...

  7. 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...

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

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

    67,2429,2389,7792,5,7152 40405,20798,2472,2385,8311,5,7624 40436,16423,2833,2891,8505,5,2189 40466,21523,5597,4616,9601,5,1704 40497,33652,12885,8423,10973,5,1366...

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

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

    32582,,8377,3462 32613,,4724,2362 32643,,2816,1790 32674,,2321,1479 32704,,2189,1399 32735,,2026,1340 32766,,2035,1433 32796,,2513,1568 32827,,4166,2035...

  10. Texas Natural Gas Consumption by End Use

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

    85,549 138,429 294,316 274,451 1997-2014 Volumes Delivered to Consumers 2,947,542 3,185,011 3,305,730 3,377,217 3,350,645 3,415,789 1997-2014 Residential 192,153 226,445 199,958...

  11. Hawaii Natural Gas Consumption by End Use

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

    2,607 2,627 2,619 2,689 2,855 2,928 1997-2014 Pipeline & Distribution Use 2 2 2 3 1 1 2004-2014 Volumes Delivered to Consumers 2,605 2,625 2,616 2,687 2,853 2,927 1997-2014...

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

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

    8817,1663,1627,2865,0,2661 41654,9350,2463,2128,2676,0,2083 41685,8446,2138,1696,2644,0,1968 41713,9361,1858,1502,2871,0,3129 41744,6829,825,740,2340,0,2924 41774,6637,496,615,2477...

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

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

    (MMcf)" 32523,,7006,4202 32554,,7911,4825 32582,,6742,4252 32613,,3687,2505 32643,,1968,1648 32674,,1137,1757 32704,,1078,3381 32735,,1007,4240 32766,,1212,1634...

  14. ,"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...

  15. ,"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...

  16. ,"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...

  17. ,"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...

  18. ,"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...

  19. ,"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...

  20. ,"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...

  1. ,"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...

  2. ,"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...

  3. ,"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...

  4. ,"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...

  5. ,"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...

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

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

    32978,,1820,1550 33008,,1476,1268 33039,,1206,1157 33069,,704,821 33100,,560,769 ... 37726,13784,3838,2544,5408,,1994 37756,12066,3058,2088,5382,,1537 ...

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

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

    33649,,1933,2372 33678,,1764,2319 33709,,1346,1935 33739,,1012,1597 33770,,628,1206 33800,,474,1084 33831,,438,1013 33862,,643,1252 33892,,1209,1790 33923,,1442,1928 ...

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

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

    33131,,450,347 33161,,1040,782 33192,,1694,1206 33222,,2673,1889 33253,,3533,2425 ...,3279,1081,737,1444,,16 38153,2725,856,647,1206,,16 38183,2154,553,456,1129,,16 ...

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

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

    ... 38671,4236,102,416,513,,3205 38701,2234,170,664,563,,836 38732,3888,153,605,1206,,1923 38763,4850,166,636,1426,,2622 38791,5239,142,620,2121,,2355 38822,4090,87,355,124...

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

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

    ... 35504,,3058,2114 35535,,1916,1532 35565,,1472,1305 35596,,926,1174 35626,,815,1206 35657,,761,1309 35688,,778,924 35718,,902,1224 35749,,2561,2027 35779,,4355,2937 ...

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

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

    ... 40283,14937,4022,3553,7241,1,119 40313,11682,1468,2245,7020,1,948 40344,12260,1206,2041,6804,1,2209 40374,14350,1036,1878,6882,1,4553 40405,13862,956,1725,7350,1,3829 ...

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

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

    ... 37118,14023,996,1238,910,,10878 37149,12067,1034,1655,858,,8520 37179,12854,1245,1383... 40954,22161,5815,3266,972,47,12062 40983,20389,4325,2888,1019,50,12107 ...

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

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

    ... 39675,9545,1103,1409,1439,,5594 39706,8662,1081,1554,1477,,4549 39736,12106,1610,2113,1929,,6454 39767,13148,3699,3254,2087,,4108 39797,17393,6259,4754,2126,,4253 ...

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

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

    ... 39736,4922,738,610,3480,,94 39767,5595,1207,908,3394,,86 39797,7419,1929,1386,4005,,100 39828,7385,2040,1589,3639,,117 39859,6193,1754,1416,2927,,96 ...

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

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

    34196,,251,360 34227,,310,381 34257,,481,507 34288,,1159,947 34318,,2057,1543 34349,,1929,1510 34380,,1926,1457 34408,,1432,1121 34439,,1001,771 34469,,568,480 34500,,367,377 ...

  16. 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...

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

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

    ,"Excel File Name:","ngconssumdcuskym.xls" ,"Available from Web Page:","http:www.eia.govdnavngngconssumdcuskym.htm" ,"Source:","Energy Information ...

  18. Kansas Natural Gas Consumption by End Use

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

    86,973 275,184 279,724 262,316 283,177 285,969 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 15,169 13,461 12,781 17,017 17,110 14,851 1983-2014 Plant Fuel 2,126 2,102 2,246...

  19. Arizona Natural Gas Consumption by End Use

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

    9,020 35,358 38,296 42,000 35,461 29,557 2001-2015 Residential 1,805 1,303 1,056 971 1,072 1,334 1989-2015 Commercial 2,204 1,878 1,758 1,654 1,714 1,918 1989-2015 Industrial 1,611...

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

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

    ...,5851,3726,10622,93,22727 41228,52299,12989,6200,12742,90,20277 41258,61950,16188,6843,13500,93,25326 41289,62324,18331,7191,13879,85,22838 41320,63455,19031,7667,12703,77,23978 ...

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

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

    34288,,8984,6080 34318,,14527,9396 34349,,16252,10134 34380,,15391,9633 34408,,13500,8295 34439,,9732,6300 34469,,6819,4573 34500,,3474,2745 34530,,2546,2268 ...

  2. Biomass Resource Allocation among Competing End Uses

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

    ... Scenario Model. iv List of Acronyms AEO Annual Energy Outlook BAM Biomass Allocation Model ... Today, traditional use of biomass accounts for 14% of world energy usage, which is ...

  3. Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Journal Article: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Citation Details In-Document Search Title: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Authors: Sun, Jia ; Yu, Eun Young ; Yang, Yuting ; Confer, Laura A. ; Sun, Steven H. ; Wan, Ke ; Lue, Neal F. ; Lei, Ming [1] + Show Author Affiliations Michigan-Med Publication Date: 2015-10-15 OSTI Identifier: 1223996 Resource Type: Journal Article Resource Relation: Journal Name: Genes and Development; Journal

  4. The Top Ten Things I Learned at the Ambassador Retreat | Department of

    Energy Savers [EERE]

    Energy The Top Ten Things I Learned at the Ambassador Retreat The Top Ten Things I Learned at the Ambassador Retreat September 4, 2014 - 1:36pm Addthis Britt Ide President, Ide Law & Strategy, PLLC, C3E Ambassador Editor's Note: This blog is cross-posted from the Clean Energy, Education, Empowerment (C3E) online network, www.c3enet.org. Learn more about C3E here. I am delighted to be serving as a C3E Ambassador. The retreat in July was my first and I learned a ton and deeply enjoyed

  5. Ten years of ASC systems has the hardware stayed on the curve? (Conference)

    Office of Scientific and Technical Information (OSTI)

    | SciTech Connect Conference: Ten years of ASC systems has the hardware stayed on the curve? Citation Details In-Document Search Title: Ten years of ASC systems has the hardware stayed on the curve? No abstract prepared. Authors: Tomkins, James Lee Publication Date: 2006-02-01 OSTI Identifier: 915580 Report Number(s): SAND2006-1241C TRN: US200816%%5 DOE Contract Number: AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: Proposed for presentation at the DOE ASC PI meeting

  6. Design and performance of a 30 KV electron gun with ten independent cathodes & a magnetic lens.

    SciTech Connect (OSTI)

    Rudys, Joseph Matthew; Reed, Kim Warren

    2006-08-01

    Measurements on a 30 kV electron gun with ten independent cathodes, operating in a 6.5 Tesla (T) magnetic field are presented. An earlier paper covered the design of this electron gun [1]. Experimental results are compared to model predictions. Beam current is compared to theoretical space charge limited flow.

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

    SciTech Connect (OSTI)

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

    1998-09-01

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

  8. Macrophyte mapping in ten lakes of South Carolina with multispectral SPOT HRV data

    SciTech Connect (OSTI)

    Mackey, H.E. Jr.

    1989-01-01

    Fall and spring multispectral SPOT HRV data for 1987 and 1988 were used to evaluate the macrophyte distributions in ten freshwater reservoirs of South Carolina. The types of macrophyte and wetland communities present along the shoreline of the lakes varied depending on the age, water level fluctuations, water quality, and basin morphology. Seasonal satellite data were important for evaluation of the extent of persistent versus non-persistent macrophyte communities in the lakes. This paper contains only the view graphs of this process.

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

    SciTech Connect (OSTI)

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

    2011-06-01

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

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

    SciTech Connect (OSTI)

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

    2013-09-01

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

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

    SciTech Connect (OSTI)

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

    2014-10-21

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

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

    SciTech Connect (OSTI)

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

    2011-05-03

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

  13. DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges

    SciTech Connect (OSTI)

    Lucas, Robert; Ang, James; Bergman, Keren; Borkar, Shekhar; Carlson, William; Carrington, Laura; Chiu, George; Colwell, Robert; Dally, William; Dongarra, Jack; Geist, Al; Haring, Rud; Hittinger, Jeffrey; Hoisie, Adolfy; Klein, Dean Micron; Kogge, Peter; Lethin, Richard; Sarkar, Vivek; Schreiber, Robert; Shalf, John; Sterling, Thomas; Stevens, Rick; Bashor, Jon; Brightwell, Ron; Coteus, Paul; Debenedictus, Erik; Hiller, Jon; Kim, K. H.; Langston, Harper; Murphy, Richard Micron; Webster, Clayton; Wild, Stefan; Grider, Gary; Ross, Rob; Leyffer, Sven; Laros III, James

    2014-02-10

    Exascale computing systems are essential for the scientific fields that will transform the 21st century global economy, including energy, biotechnology, nanotechnology, and materials science. Progress in these fields is predicated on the ability to perform advanced scientific and engineering simulations, and analyze the deluge of data. On July 29, 2013, ASCAC was charged by Patricia Dehmer, the Acting Director of the Office of Science, to assemble a subcommittee to provide advice on exascale computing. This subcommittee was directed to return a list of no more than ten technical approaches (hardware and software) that will enable the development of a system that achieves the Department's goals for exascale computing. Numerous reports over the past few years have documented the technical challenges and the non¬-viability of simply scaling existing computer designs to reach exascale. The technical challenges revolve around energy consumption, memory performance, resilience, extreme concurrency, and big data. Drawing from these reports and more recent experience, this ASCAC subcommittee has identified the top ten computing technology advancements that are critical to making a capable, economically viable, exascale system.

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

    Broader source: Energy.gov [DOE]

    When reviewing the top ten vehicles sold in calendar years 2008 through 2012, the year 2011 stands out. Likely due to Japan's tsunami/earthquake and Thailand's flood, both of which disrupted the...

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

    Broader source: Energy.gov [DOE]

    The top ten urban areas across the U.S. accounted for nearly 40% of the total fuel wasted due to traffic congestion in 2011. Highway congestion caused vehicles in the combined urban areas of New...

  16. Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric

    Broader source: Energy.gov [DOE]

    The 2013 model year marks the first time when the Environmental Protection Agency's (EPA's) top ten most fuel efficient vehicles list is comprised entirely of electric vehicles. Electric vehicles...

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

    SciTech Connect (OSTI)

    Dorning, R.E.

    1991-12-31

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

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

    SciTech Connect (OSTI)

    Not Listed

    2012-03-01

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

  19. Evaluation of tools for renewable energy policy analysis: The ten federal region model

    SciTech Connect (OSTI)

    Engle, J.

    1994-04-01

    The Energy Policy Act of 1992 establishes a program to support development of renewable energy technologies including a production incentive to public power utilities. Because there is a wide range of possible policy actions that could be taken to increase electric market share for renewables, modeling tools are needed to help make informed decisions regarding future policy. Previous energy modeling tools did not contain the region or infrastructure focus necessary to examine renewable technologies. As a result, the Department of Energy Office of Utility Technologies (OUT) supported the development of tools for renewable energy policy analysis. Three models were developed: The Renewable Energy Penetration (REP) model, which is a spreadsheet model for determining first-order estimates of policy effects for each of the ten federal regions; the Ten Federal Region Model (TFRM), which employs utility capacity expansion and dispatching decision; and the Region Electric Policy Analysis Model (REPAM), which was constructed to allow detailed insight into interactions between policy and technology within an individual region. These Models were developed to provide a suite of fast, personal-computer based policy analysis tools; as one moves from the REP model to the TFRM to the REPAM the level of detail (and complexity) increases. In 1993 a panel was formed to identify model strengths, weaknesses (including any potential biases) and to suggest potential improvements. The panel met in January 1994 to discuss model simulations and to deliberate regarding evaluation outcomes. This report is largely a result of this meeting. This report is organized as follows. It provides a description of the TFRM and summarizes the panel`s findings. Individual chapters examine various aspects of the model: demand and load, capacity expansion, dispatching and production costing, reliability, renewables, storage, financial and regulatory concerns, and environmental effects.

  20. Modeling the Office of Science Ten Year Facilities Plan: The PERI Architecture Tiger Team

    SciTech Connect (OSTI)

    de Supinski, Bronis R.; Alam, Sadaf; Bailey, David H.; Carrington, Laura; Daley, Chris; Dubey, Anshu; Gamblin, Todd; Gunter, Dan; Hovland, Paul D.; Jagode, Heike; Karavanic, Karen; Marin, Gabriel; Mellor-Crummey, John; Moore, Shirley; Norris, Boyana; Oliker, Leonid; Olschanowsky, Catherine; Roth, Philip C.; Schulz, Martin; Shende, Sameer; Snavely, Allan; Spear, Wyatt; Tikir, Mustafa; Vetter, Jeff; Worley, Pat; Wright, Nicholas

    2009-06-26

    The Performance Engineering Institute (PERI) originally proposed a tiger team activity as a mechanism to target significant effort optimizing key Office of Science applications, a model that was successfully realized with the assistance of two JOULE metric teams. However, the Office of Science requested a new focus beginning in 2008: assistance in forming its ten year facilities plan. To meet this request, PERI formed the Architecture Tiger Team, which is modeling the performance of key science applications on future architectures, with S3D, FLASH and GTC chosen as the first application targets. In this activity, we have measured the performance of these applications on current systems in order to understand their baseline performance and to ensure that our modeling activity focuses on the right versions and inputs of the applications. We have applied a variety of modeling techniques to anticipate the performance of these applications on a range of anticipated systems. While our initial findings predict that Office of Science applications will continue to perform well on future machines from major hardware vendors, we have also encountered several areas in which we must extend our modeling techniques in order to fulfill our mission accurately and completely. In addition, we anticipate that models of a wider range of applications will reveal critical differences between expected future systems, thus providing guidance for future Office of Science procurement decisions, and will enable DOE applications to exploit machines in future facilities fully.

  1. Modeling the Office of Science Ten Year Facilities Plan: The PERI Architecture Team

    SciTech Connect (OSTI)

    de Supinski, Bronis R.; Alam, Sadaf R; Bailey, David; Carrington, Laura; Daley, Christopher; Dubey, Anshu; Gamblin, Todd; Gunter, Dan; Hovland, Paul; Jagode, Heike; Karavanic, Karen; Marin, Gabriel; Mellor-Crummey, John; Moore, Shirley; Norris, Boyana; Oliker, Leonid; Olschanowsky, Cathy; Roth, Philip C; Schulz, Martin; Shende, Sameer; Snavely, Allan; Spea, Wyatt; Tikir, Mustafa; Vetter, Jeffrey S; Worley, Patrick H; Wright, Nicholas

    2009-01-01

    The Performance Engineering Institute (PERI) originally proposed a tiger team activity as a mechanism to target significant effort optimizing key Office of Science applications, a model that was successfully realized with the assistance of two JOULE metric teams. However, the Office of Science requested a new focus beginning in 2008: assistance in forming its ten year facilities plan. To meet this request, PERI formed the Architecture Tiger Team, which is modeling the performance of key science applications on future architectures, with S3D, FLASH and GTC chosen as the first application targets. In this activity, we have measured the performance of these applications on current systems in order to understand their baseline performance and to ensure that our modeling activity focuses on the right versions and inputs of the applications. We have applied a variety of modeling techniques to anticipate the performance of these applications on a range of anticipated systems. While our initial findings predict that Office of Science applications will continue to perform well on future machines from major hardware vendors, we have also encountered several areas in which we must extend our modeling techniques in order to fulfilll our mission accurately and completely. In addition, we anticipate that models of a wider range of applications will reveal critical differences between expected future systems, thus providing guidance for future Office of Science procurement decisions, and will enable DOE applications to exploit machines in future facilities fully.

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

    SciTech Connect (OSTI)

    English, M.; Schexnayder, S.; Altman, J.; Schweitzer, M.

    1994-03-01

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

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

    SciTech Connect (OSTI)

    McPherson, Brian; Matthews, Vince

    2013-09-15

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

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

    SciTech Connect (OSTI)

    Griffith, J.L.

    1980-08-01

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

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

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland ... Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio ...

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

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New ...

  7. Rhode Island Natural Gas Consumption by End Use

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

    4,837 6,216 7,643 6,847 8,611 7,986 2001-2016 Residential 385 1,038 1,591 1,903 3,421 2,876 1989-2016 Commercial 244 624 1,007 1,106 2,008 1,770 1989-2016 Industrial 694 683 704 750 730 799 2001-2016 Vehicle Fuel 7 7 7 7 8 7 2010-2016 Electric Power 3,507 3,864 4,334 3,081 2,443 2,533

  8. South Carolina Natural Gas Consumption by End Use

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

    20,307 22,863 25,780 24,364 28,082 23,581 2001-2016 Residential 542 1,020 2,345 2,982 6,837 5,615 1989-2016 Commercial 1,380 1,827 2,136 1,907 3,896 3,003 1989-2016 Industrial 6,616 7,238 7,342 7,873 7,803 7,191 2001-2016 Vehicle Fuel 2 2 2 2 2 2 2010-2016 Electric Power 11,768 12,777 13,955 11,601 9,544 7,772

  9. South Dakota Natural Gas Consumption by End Use

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

    4,529 4,893 6,660 8,123 9,012 7,556 2001-2016 Residential 226 473 1,162 1,996 2,371 1,689 1989-2016 Commercial 315 571 1,127 1,564 1,995 1,376 1989-2016 Industrial 3,469 3,452 3,849 3,907 4,111 3,866 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 519 396 521 656 535 625

  10. West Virginia Natural Gas Consumption by End Use

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

    914 6,180 6,835 NA 12,049 10,209 2001-2016 Residential 387 1,242 2,132 2,485 5,340 4,215 1989-2016 Commercial 1,107 1,547 1,923 2,034 3,648 3,015 1989-2016 Industrial 1,677 1,849 2,014 NA 2,842 2,743 2001-2016 Vehicle Fuel 1 1 1 1 1 1 2010-2016 Electric Power 1,742 1,541 765 522 219 236

  11. New Mexico Natural Gas Consumption by End Use

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

    41,194 241,137 246,418 243,961 245,502 246,178 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 49,655 49,070 47,556 47,696 47,018 49,406 1983-2014 Plant Fuel 36,827 35,289...

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

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

    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,

  13. 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...

  14. Energy End-Use Intensities in Commercial Buildings

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

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

  15. Energy End-Use Intensities in Commercial Buildings

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

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

  16. Energy End-Use Intensities in Commercial Buildings

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

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

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

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

    ... 35139,,3741,2190 35170,,2996,1884 35200,,954,1154 35231,,547,997 ... 35626,,517,989 35657,,449,1004 35688,,471,1884 35718,,637,1167 35749,,2424,1757 ...

  18. District of Columbia Natural Gas Consumption by End Use

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

    ,072 1,740 2,437 2,907 5,148 4,776 2001-2016 Residential 253 520 911 1,335 2,524 2,285 1989-2016 Commercial 736 1,135 1,443 1,487 2,528 2,405 1989-2016 Industrial 0 0 0 0 0 0 2001-2016 Vehicle Fuel 83 86 83 86 95 86 2010-2016 Electric Power -- -- -- -- -- --

  19. South Dakota Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  20. District of Columbia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  1. New York Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  2. Rhode Island Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  3. West Virginia Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  4. North Dakota Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  5. North Carolina Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  6. New Jersey 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...

  7. North Dakota Natural Gas Consumption by End Use

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

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey...

  8. New Hampshire Natural Gas Consumption by End Use

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

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  9. Louisiana Sales of Distillate Fuel Oil by End Use

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

    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

  10. Mississippi Sales of Distillate Fuel Oil by End Use

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

    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

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

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

    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

  12. 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...

  13. Alternative Strategies for Low-Pressure End Uses; Industrial...

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

    ... IOF focuses on the following eight energy and resource intensive industries: * Aluminum * Forest Products * Metal Casting * Petroleum * Chemicals * Glass * Mining * Steel The ...

  14. End Use and Fuel Certification | Department of Energy

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

    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 ...

  15. 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...

  16. 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....

  17. Alabama Sales of Distillate Fuel Oil by End Use

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

    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

  18. Florida Sales of Distillate Fuel Oil by End Use

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

    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

  19. 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...

  20. New Mexico Natural Gas Consumption by End Use

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

    10,219 10,795 14,369 19,223 19,201 15,207 2001-2016 Residential 854 1,282 3,863 6,379 6,677 4,728 1989-2016 Commercial 1,106 1,689 3,294 4,321 3,911 3,120 1989-2016 Industrial 1,348 1,479 1,616 1,575 1,730 1,461 2001-2016 Vehicle Fuel 15 16 15 16 17 16 2010-2016 Electric Power 6,895 6,330 5,581 6,933 6,866 5,881

  1. North Carolina Natural Gas Consumption by End Use

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

    5,685 35,342 43,008 NA 60,449 55,952 2001-2016 Residential 1,121 2,814 6,342 7,028 16,311 13,029 1989-2016 Commercial 3,004 4,282 5,548 NA 10,328 8,034 1989-2016 Industrial 7,974 9,044 8,911 9,049 10,520 10,075 2001-2016 Vehicle Fuel 7 7 7 7 8 7 2010-2016 Electric Power 23,579 19,195 22,200 22,474 23,283 24,806

  2. Driving Biofuels End Use: BETO/VTO Collaborations

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

    Conventional Engine + Realistic Fuels GEFORCE - Near term technology exploration 6 6 | Vehicle Technologies Program Efficiency Through Biofuels Biofuel blends enhance ...

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

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

    Drive -- 347,224 * 5 116 1 * -- Electro-Chemical Processes -- 55,414 -- -- -- -- -- -- ... Drive -- 33,354 * * 5 * 0 -- Electro-Chemical Processes -- 5,538 -- -- -- -- -- -- ...

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

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

    Drive -- 1,185 * 28 120 3 1 -- Electro-Chemical Processes -- 189 -- -- -- -- -- -- Other ... Drive -- 114 * 2 5 * 0 -- Electro-Chemical Processes -- 19 -- -- -- -- -- -- Other ...

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

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

    Drive -- 347,224 * 5 116 1 * -- Electro-Chemical Processes -- 55,414 -- -- -- -- -- -- ... Drive -- 32,764 * * 4 * * -- Electro-Chemical Processes -- 158 -- -- -- -- -- -- Other ...

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

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

    Machine Drive 1,454 * 28 120 3 1 Electro-Chemical Processes 263 -- -- -- -- -- Other ... * 0 Machine Drive 124 * * 4 * * Electro-Chemical Processes 1 -- -- -- -- -- Other Process ...

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

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

    Drive 426,121 * 5 116 1 * Electro-Chemical Processes 77,146 -- -- -- -- -- Other ... 0 Machine Drive 36,373 * * 4 * * Electro-Chemical Processes 159 -- -- -- -- -- Other ...

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

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

    Drive 426,121 * 5 116 1 * Electro-Chemical Processes 77,146 -- -- -- -- -- Other ... 0 Machine Drive 40,701 * * 5 * 0 Electro-Chemical Processes 5,597 -- -- -- -- -- Released: ...

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

    Gasoline and Diesel Fuel Update (EIA)

    Machine Drive 1,454 * 28 120 3 1 Electro-Chemical Processes 263 -- -- -- -- -- Other ... * 0 Machine Drive 139 * 2 5 * 0 Electro-Chemical Processes 19 -- -- -- -- -- Other ...

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

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

    Drive -- 1,185 * 28 120 3 1 -- Electro-Chemical Processes -- 189 -- -- -- -- -- -- Other ... Drive -- 112 * * 4 * * -- Electro-Chemical Processes -- 1 -- -- -- -- -- -- Other ...

  11. New Hampshire Natural Gas Consumption by End Use

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

    NA NA 5,978 NA 2001-2016 Residential 148 242 657 854 1,334 1,136 1989-2016 Commercial 232 377 823 1,017 1,584 1,320 1989-2016 Industrial NA NA NA NA 856 NA 2001-2016 Vehicle Fuel 6 6 6 6 7 6 2010-2016 Electric Power 3,922 3,375 3,795 2,706 2,196 1,145

  12. 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,...

  13. 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,...

  14. 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,...

  15. 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...

  16. 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

  17. Texas Sales of Distillate Fuel Oil by End Use

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

    ,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 ...

  18. South Carolina Natural Gas Consumption by End Use

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

    Pipeline & Distribution Use 3,452 3,408 3,416 2,529 2,409 1997-2014 Volumes Delivered to Consumers 216,783 226,089 241,434 229,768 229,454 270,546 1997-2015 Residential 32,430 ...

  19. New Jersey Natural Gas Consumption by End Use

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

    Residential 219,141 213,630 191,371 226,195 247,742 237,164 1967-2015 Commercial 181,480 ... Vehicle Fuel 150 191 191 195 229 222 1988-2015 Electric Power 199,059 199,594 226,469 ...

  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. 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 . . . . . ....

  2. 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...

  3. 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...

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

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

    34380,,9487,6269 34408,,6623,4727 34439,,3521,2761 34469,,1704,1844 34500,,1206,1605 34530,,866,1487 34561,,806,1647 34592,,903,1831 34622,,1568,2115 34653,,3655,2817 ...

  5. 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

  6. 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

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

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

    ... 37909,2054,590,533,836,,95 37940,3715,1464,1166,995,,90 37970,4455,1929,1485,988,,54 38001,5515,2506,1871,1023,,115 38032,4940,2214,1653,1049,,24 ...

  8. Refining and end use study of coal liquids

    SciTech Connect (OSTI)

    Choi, G.

    1998-05-01

    A conceptual design and ASPEN Plus process flowsheet simulation model was developed for a Battelle biomass-based gasification, Fischer-Tropsch (F-T) liquefaction and combined-cycle power plant. This model was developed in a similar manner to those coal liquefaction models that were developed under DOE contract DE-AC22-91PC90027. As such, this process flowsheet simulation model was designed to be a research guidance tool and not a detailed process design tool. However, it does contain some process design features, such as sizing the F-T synthesis reactors. This model was designed only to predict the effects of various process and operating changes on the overall plant heat and material balances, utilities, capital and operating costs.

  9. 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...

  10. 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 ...

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

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

    of biofuels with internal combustion engines. This work includes: Developing detailed kinetic reaction models to better describe components of advanced biofuels and then testing ...

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

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

    ...,20576,14730,6914,,10275 38122,39871,8867,9693,5860,,15451 38153,33708,6026,8360,5823,,13500 38183,33345,5433,7004,5549,,15358 38214,34799,5428,7656,5364,,16351 ...

  13. Hydrogen Pathways: Updated Cost, Well-to-Wheels Energy Use, and Emissions for the Current Technology Status of Ten Hydrogen Production, Delivery, and Distribution Scenarios

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

    Hydrogen Pathways Updated Cost, Well-to-Wheels Energy Use, and Emissions for the Current Technology Status of Ten Hydrogen Production, Delivery, and Distribution Scenarios T. Ramsden, M. Ruth, V. Diakov National Renewable Energy Laboratory M. Laffen, T.A. Timbario Alliance Technical Services, Inc. Technical Report NREL/TP-6A10-60528 March 2013 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable

  14. Ten polymorphic DNA loci, including five in the rat MHC (RT1) region, form a single linkage group on rat chromosome 20

    SciTech Connect (OSTI)

    Remmers, E.F.; Du, Y.; Zha, H.; Goldmuntz, E.A.; Wilder, R.L.

    1995-03-01

    We have described ten markers for polymorphic loci on rat chromosome 20, including five in the rat MHC (RT1) region. These markers formed a single linkage group spanning a recombination distance of 0.40. The markers identified five expressed gene loci - RT1.N1 (thymus leukemia antigen 1), Tnfa (tumor necrosis factor {alpha}), Hspa1 (heat shock protein 70), Ggt1 ({gamma} glutamyl-transferase 1), and Prkacn2 (protein kinase C catalytic subunit binding inhibitor 2), two loci with sequences that are related to expressed genes - RT1.Aw2 (sequence related to a non-RT1A class I {alpha} chain) and Mt21 (sequence related to metallothionein 2), and three anonymous loci - D20Arb548, D20Arb234, and D20Arb249. These polymorphic markers should facilitate mapping studies and genetic monitoring of inbred rat strains. 18 refs., 2 figs., 3 tabs.

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

    SciTech Connect (OSTI)

    Cal Ozaki

    2010-06-01

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

  16. Grids: The Top Ten Questions

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

    Schopf, Jennifer M.; Nitzberg, Bill

    2002-01-01

    The design and implementation of a national computing system and data grid has become a reachable goal from both the computer science and computational science point of view. A distributed infrastructure capable of sophisticated computational functions can bring many benefits to scientific work, but poses many challenges, both technical and socio-political. Technical challenges include having basic software tools, higher-level services, functioning and pervasive security, and standards, while socio-political issues include building a user community, adding incentives for sites to be part of a user-centric environment, and educating funding sources about the needs of this community. This paper details the areasmore » relating to Grid research that we feel still need to be addressed to fully leverage the advantages of the Grid.« less

  17. Approaching Conformality with Ten Flavors

    SciTech Connect (OSTI)

    Appelquist, Thomas; Brower, Richard C.; Buchoff, Michael I.; Cheng, Michael; Cohen, Saul D.; Fleming, George T.; Kiskis, Joe; Lin, Meifeng; Na, Heechang; Neil, Ethan T.; Osborn, James C.

    2012-04-01

    We present first results for lattice simulations, on a single volume, of the low-lying spectrum of an SU(3) Yang-Mills gauge theory with N{sub f} = 10 light fermions in the fundamental representation. Fits to the fermion mass dependence of various observables are found to be globally consistent with the hypothesis that this theory is within or just outside the strongly-coupled edge of the conformal window, with mass anomalous dimension {gamma}* {approx} 1 over the range of scales simulated. We stress that we cannot rule out the possibility of spontaneous chiral-symmetry breaking at scales well below our infrared cutoff. We discuss important systematic effects, including finite-volume corrections, and consider directions for future improvement.

  18. Human dose assessment for the radionuclides {sup 90}Sr and {sup 90}Y at TA-35 SWMU 35-003 (r) and Ten Site Canyon

    SciTech Connect (OSTI)

    Jarmer, D.; Lyman, J.

    1997-07-01

    This report gives an estimate of the radiological dose to an individual living on or working at a site contaminated with strontium-90 ({sup 90}Sr) and yttrium-90 ({sup 90}Y). The site consists of a small receiving canyon that drains into Ten-Site Canyon at the eastern end of Los Alamos National Laboratory`s technical area 35 (TA-35). Between 1951 and 1963 a wastewater treatment facility located at TA-35 discharged water containing {sup 90}Sr and {sup 90}Y to this receiving canyon. The authors used the RESRAD computer code to calculate the dose to an on-site individual, based on two exposure scenarios: (1) a person working at the site for eight hours a day, five days a week, for twenty-five years and (2) a farmer living at the site twenty four hours a day, seven days a week, for thirty years. The exposure pathways considered were direct exposure to external radiation; inhalation of contaminated dusts; and ingestion of plants, water, and soil. The authors found that the maximum estimated dose rates were 1 and 21 mrem y{sup {minus}1} for the worker and farmer scenarios respectively. The authors have concluded that the value for the worker scenario is well below the DOE dose limit of 100 mrem y{sup {minus}1} but the farmer is overexposed.

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

    SciTech Connect (OSTI)

    Noda, Masashi; Ishimura, Kazuya; Nobusada, Katsuyuki; Yabana, Kazuhiro; Boku, Taisuke

    2014-05-15

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

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

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

    Consumers (Thousand Gallons)","U.S. Residual Fuel Oil Adj SalesDeliveries to Oil Company Consumers (Thousand Gallons)","U.S. Residual Fuel Oil Adj SalesDeliveries to Elect. ...

  1. Table 3. Top five retailers of electricity, with end use sectors...

    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...

  2. Table 3. Top five retailers of electricity, with end use sectors...

    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-ow...

  3. Table 3. Top five retailers of electricity, with end use sectors...

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

    Montana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NorthWestern Energy LLC - (MT)","Investor-owned",597...

  4. Table 3. Top five retailers of electricity, with end use sectors...

    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",20568948...

  5. Table 3. Top five retailers of electricity, with end use sectors...

    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",567506...

  6. 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...

  7. Table 3. Top five retailers of electricity, with end use sectors...

    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",20585461,570529...

  8. Table 3. Top five retailers of electricity, with end use sectors...

    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",38670...

  9. Table 3. Top five retailers of electricity, with end use sectors...

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

    Pennsylvania" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",...

  10. Table 3. Top five retailers of electricity, with end use sectors...

    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",9973395,3434301,4...

  11. Table 3. Top five retailers of electricity, with end use sectors...

    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",41994756...

  12. Table 3. Top five retailers of electricity, with end use sectors...

    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",28224148,9...

  13. Table 3. Top five retailers of electricity, with end use sectors, 2014

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

    Alabama" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Alabama Power Co","Investor-Owned",56854751,18726485,14329217,23799049,0 2,"Tennessee Valley Authority","Federal",5374405,0,0,5374405,0 3,"City of Huntsville - (AL)","Public",5277748,2559875,2127737,590136,0 4,"Joe Wheeler

  14. Table 3. Top five retailers of electricity, with end use sectors, 2014

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

    Arkansas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Arkansas Inc","Investor-owned",21049257,8069917,6170936,6808318,86 2,"Southwestern Electric Power Co","Investor-owned",4018839,1121436,1354356,1543047,0 3,"Mississippi County Electric

  15. Table 3. Top five retailers of electricity, with end use sectors...

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

    ...ned",27584533,12837752,12477518,2269263,0 2,"Salt River Project","Public",27548529,12293633,11099759,4155137,0 3,"Tucson Electric Power Co","Investor-owned",9165355,3726983,2202954...

  16. Table 3.4 Consumer Price Estimates for Energy by End-Use Sector...

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

    ... coal coke imports and exports, which are not separately displayed. 3Retail electricity prices paid by ultimate customers, reported by electric utilities and, beginning in ...

  17. Table 3. Top five retailers of electricity, with end use sectors...

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

    2,"Pacific Gas & Electric Co","Investor-owned",75114523,29289082,28107971,17717470,0 3,"Los Angeles Department of Water & Power","Public",23456101,8165544,13342552,1817959,130046 ...

  18. 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.

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

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

    2 APPENDIX A FINAL EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case Presented to: U.S. Energy Information Administration Prepared by Navigant Consulting, Inc. 1200 19 St. NW, Suite 700 Washington, D.C. 20036 With SAIC 8301 Greensboro Drive McLean, VA 22102 March 2014 Final DISCLAIMER This presentation was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency

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

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

    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

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

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

    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

  2. Table 3. Top five retailers of electricity, with end use sectors...

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

    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 ...

  3. Table 3. Top five retailers of electricity, with end use sectors...

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

    Co","Investor-owned",1771412,1179978,547455,43979,0 4,"TransCanada Power Marketing, Ltd.","Investor-owned",1347975,0,0,1347975,0 5,"Direct Energy Business","Investor-ow...

  4. Table 3. Top five retailers of electricity, with end use sectors...

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

    Corp.","Investor-owned",13152596,8914956,3220135,1017505,0 5,"Direct Energy Business Marketing, LLC","Investor-owned",8604263,0,4198880,4405383,0 " ","Total sales, top five ...

  5. Table 3. Top five retailers of electricity, with end use sectors...

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

    ...1,0,296950,149198,23573 4,"TransCanada Power Marketing, Ltd.","Investor-owned",301970,0,0,301970,0 5,"Direct Energy Business Marketing, LLC","Investor-owned",210924,0,63277,147647,...

  6. 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 ...

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

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

    National Energy Modeling System (NEMS) contain equipment ... equipment stock can change over time in response to ... are in the same product class as electric resistance ...

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

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

    ... are in the same product class as electric resistance ... the typical inch and change the venting. 20 ... closed loop) system, including tank and backup heater. ...

  9. 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.

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

    SciTech Connect (OSTI)

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

    1993-06-01

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

  11. Table 3. Top five retailers of electricity, with end use sectors...

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

    City Power & Light Co","Investor-owned",8554331,2571510,4454312,1528509,0 3,"KCP&L Greater Missouri Operations Co.","Investor-owned",8195101,3576410,3259502,1359189,0 ...

  12. Table 3. Top five retailers of electricity, with end use sectors...

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

    Tennessee E M C","Cooperative",5743330,3134733,1993358,615239,0 5,"Knoxville Utilities Board","Public",5536187,2506771,2279472,749944,0 " ","Total sales, top five ...

  13. 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.

  14. Table 3. Top five retailers of electricity, with end use sectors...

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

    Electric Cooperative","Cooperative",1301698,1060347,241351,0,0 3,"Direct Energy Business","Investor-owned",709072,0,709072,0,0 4,"City of Dover - (DE)","Public",703096,199449...

  15. Table 3. Top five retailers of electricity, with end use sectors...

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

    Power & Lt Co","Investor-owned",9957517,7264641,2445207,247669,0 3,"Direct Energy Business","Investor-owned",5025230,0,5025230,0,0 4,"Constellation NewEnergy, ...

  16. "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel...

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

    Machine Drive",2,4,14,6,21,4 ," Electro-Chemical Processes",1,0,0,0,0,0 ," Other Process ... Machine Drive",4,0,45,45,78,0 ," Electro-Chemical Processes",73,0,0,0,0,0 ," Other Process ...

  17. Table 3. Top five retailers of electricity, with end use sectors...

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

    2,"Southwestern Public Service Co","Investor-owned",5014741,1127323,1655334,2232084,0 3,"El Paso Electric Co","Investor-owned",1640996,651515,910681,78800,0 4,"City of Farmington - ...

  18. 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)

  19. 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).

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

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

    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 ...

  1. Industrial end-use forecasting that incorporates DSM and air quality

    SciTech Connect (OSTI)

    Tutt, T.; Flory, J.

    1995-05-01

    The California Energy Commission (CEC) and major enregy utilities in California have generally depended on simple aggregate intensity or economic models to forecast energy use in the process industry sector (which covers large industries employing basic processes to transform raw materials, such as paper mills, glass plants, and cement plants). Two recent trends suggests that the time has come to develop a more disaggregate process industry forecasting model. First, recent efforts to improve air quality, especially by the South Coast Air Quality Management District (SCAQMD), could significantly affect energy use by the process industry by altering the technologies and processes employed in order to reduce emissions. Second, there is a renewed interest in Demand-Side Management (DSM), not only for utility least-cost planning, but also for improving the economic competitiveness and environmental compliance of the pro{minus}cess industries. A disaggregate forecasting model is critical to help the CEC and utilities evaluate both the air quality and DSM impacts on energy use. A crucial obstacle to the development and use of these detailed process industry forecasting models is the lack of good data about disaggregate energy use in the sector. The CEC is nearing completion of a project to begin to overcome this lack of data. The project is testing methds of developing detailed energy use data, collecting an initial database for a large portion of southern California, and providing recommendations and direction for further data collection efforts.

  2. ,"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...

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

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

    11,"Annual",2015,"6/30/1930" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","ng_cons_sum_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/ng/ng_cons_sum_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"4/29/2016

  4. "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel...

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

    Relative Standard Errors for Table 5.2;" " Unit: Percents." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End ...

  5. "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b...

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

    for Table 5.6;" " Unit: Percents." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End ...

  6. 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.

  7. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",28671219,9008526,12886370,6712282,64041 2,"City of Colorado Springs - (CO)","Public",4477715,1425423,1097160,1955132,0 3,"Intermountain Rural Elec

  8. Table 3. Top five retailers of electricity, with end use sectors, 2014

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

    Florida" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Florida Power & Light Co","Investor-owned",104431096,55224658,46172611,2942385,91442 2,"Duke Energy Florida, Inc","Investor-owned",37240099,19002681,14970106,3267312,0 3,"Tampa Electric

  9. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",83740365,27132065,32894391,23548775,165134 2,"Jackson Electric Member Corp - (GA)","Cooperative",5201199,3003210,1476773,721216,0 3,"Cobb Electric Membership

  10. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",6781665,1611149,2270495,2900021,0 2,"Maui Electric Co Ltd","Investor-owned",1132056,381979,373947,376130,0 3,"Hawaii Electric Light Co

  11. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",13462077,4784073,3792971,4885033,0 2,"PacifiCorp","Investor-owned",3495174,665344,457510,2372320,0 3,"Avista Corp","Investor-owned",3083614,1188464,1029305,865845,0 4,"City of Idaho Falls -

  12. Table 3. Top five retailers of electricity, with end use sectors, 2014

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

    Illinois" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Commonwealth Edison Co","Investor-owned",18061768,9114941,7890441,1056386,0 2,"Constellation Energy Services, Inc.","Investor-owned",10686139,5208659,5477480,0,0 3,"Homefield

  13. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",18888411,6334638,5483135,7070638,0 2,"Louisville Gas & Electric Co","Investor-owned",11817164,4157326,4885866,2773972,0 3,"Kenergy Corp","Cooperative",9670080,757715,325857,8586508,0

  14. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",32904509,9047299,6757407,17099803,0 2,"Entergy Gulf States - LA LLC","Investor-owned",20822523,5368421,5529206,9924896,0 3,"Cleco Power

  15. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",12270475,8927905,3147168,195402,0 2,"WGL Energy Services, Inc.","Investor-owned",7202209,1077458,6124751,0,0 3,"Potomac Electric Power

  16. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",41923906,14932840,16790364,10199382,1320 2,"Consumers Energy Co","Investor-owned",33253922,12593983,11045552,9614387,0 3,"Constellation Energy Services,

  17. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",13204945,5672166,5235681,2297098,0 2,"Mississippi Power Co","Investor-owned",9960184,2136509,2905744,4917931,0 3,"Tennessee Valley Authority","Federal",4527039,0,0,4527039,0

  18. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",10659655,3561537,3640059,3458059,0 2,"Nebraska Public Power District","Public",3353118,895508,1211817,1245793,0 3,"Lincoln Electric System","Public",3219685,1193586,1526628,499471,0

  19. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",3799020,2390026,1240068,168926,0 2,"Constellation Energy Services, Inc.","Investor-owned",1008956,3870,1005086,0,0 3,"Constellation NewEnergy,

  20. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",24307160,8652606,9472917,6181637,0 2,"Public Service Co of Oklahoma","Investor-owned",17947669,6320906,6389387,5237376,0 3,"Grand River Dam

  1. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",17603187,7461863,6849512,3283792,8020 2,"PacifiCorp","Investor-owned",12958735,5309295,5109334,2524679,15427 3,"City of Eugene - (OR)","Public",2336296,919175,872330,544791,0

  2. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",22374515,8155692,7985229,6233594,0 2,"Duke Energy Carolinas, LLC","Investor-owned",21202789,6633843,5727023,8841923,0 3,"South Carolina Public Service

  3. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",2056587,714040,997932,344615,0 2,"NorthWestern Energy - (SD)","Investor-owned",1579926,582064,711070,286792,0 3,"Black Hills Power

  4. Table 3. Top five retailers of electricity, with end use sectors, 2014

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

    Utah" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-owned",24105301,6605139,8564346,8875134,60682 2,"Provo City Corp","Public",784886,236348,410174,138364,0 3,"City of St George","Public",616490,276947,68066,271477,0 4,"Moon Lake Electric Assn

  5. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",4281682,1551471,1572378,1157833,0 2,"Vermont Electric Cooperative, Inc","Cooperative",446870,222366,122807,101697,0 3,"City of Burlington Electric -

  6. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",75562974,29406355,39038242,6916360,202017 2,"Appalachian Power Co","Investor-owned",15954286,6461192,4013267,5479827,0 3,"Rappahannock Electric

  7. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",14185260,5721741,3637041,4826478,0 2,"Monongahela Power Co","Investor-owned",11426122,3814821,2840690,4770611,0 3,"The Potomac Edison

  8. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",23909329,7778541,8832104,7298684,0 2,"Wisconsin Power & Light Co","Investor-owned",10646058,3533105,2424249,4688704,0 3,"Wisconsin Public Service

  9. Table 3. Top five retailers of electricity, with end use sectors, 2014

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

    Wyoming" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-owned",9568272,1041412,1503050,7023810,0 2,"Powder River Energy Corp","Cooperative",2640812,221881,891312,1527619,0 3,"Cheyenne Light Fuel & Power Co","Investor-owned",1175006,259090,533610,382306,0

  10. Table 3. Top five retailers of electricity, with end use sectors, 2014

    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",104431096,55224658,46172611,2942385,91442 2,"Georgia Power Co","Investor-owned",83740365,27132065,32894391,23548775,165134 3,"Southern California Edison

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. Table 3. Top five retailers of electricity, with end use sectors...

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

    4,"Colorado River Comm of Nevada","Public",1035947,0,146029,889918,0 5,"Silver State Energy Association","Investor-owned",1000339,0,1000339,0,0 " ","Total sales, top ...

  17. 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.

  18. 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/

  19. Solar Decathlon Turns Ten | Department of Energy

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

    the clean energy economy. | Photo courtesy of Stefano Paltera, U.S. Department of Energy Solar Decathlon. Rebecca Matulka Rebecca Matulka Former Digital Communications Specialist, ...

  20. Power applications of high-temperature superconductivity: Variable speed motors, current switches, and energy storage for end use

    SciTech Connect (OSTI)

    Hawsey, R.A. [Oak Ridge National Lab., TN (United States); Banerjee, B.B.; Grant, P.M. [Electric Power Research Inst., Palo Alto, CA (United States)

    1996-08-01

    The objective of this project is to conduct joint research and development activities related to certain electric power applications of high-temperature superconductivity (HTS). The new superconductors may allow development of an energy-efficient switch to control current to variable speed motors, superconducting magnetic energy storage (SMES) systems, and other power conversion equipment. Motor types that were considered include induction, permanent magnet, and superconducting ac motors. Because it is impractical to experimentally alter certain key design elements in radial-gap motors, experiments were conducted on an axial field superconducting motor prototype using 4 NbTi magnets. Superconducting magnetic energy storage technology with 0.25--5 kWh stored energy was studied as a viable solution to short duration voltage sag problems on the customer side of the electric meter. The technical performance characteristics of the device wee assembled, along with competing technologies such as active power line conditioners with storage, battery-based uninterruptible power supplies, and supercapacitors, and the market potential for SMES was defined. Four reports were prepared summarizing the results of the project.

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

    Broader source: Energy.gov [DOE]

    BTO held a public meeting to solicit comments from the public on a draft framework. View the agenda, presentations, and summary notes.

  2. Estimates of U.S. Commercial Building Electricity Intensity Trends: Issues Related to End-Use and Supply Surveys

    SciTech Connect (OSTI)

    Belzer, David B.

    2004-09-04

    This report examines measurement issues related to the amount of electricity used by the commercial sector in the U.S. and the implications for historical trends of commercial building electricity intensity (kWh/sq. ft. of floor space). The report compares two (Energy Information Administration) sources of data related to commercial buildings: the Commercial Building Energy Consumption Survey (CBECS) and the reporting by utilities of sales to commercial customers (survey Form-861). Over past two decades these sources suggest significantly different trend rates of growth of electricity intensity, with the supply (utility)-based estimate growing much faster than that based only upon the CBECS. The report undertakes various data adjustments in an attempt to rationalize the differences between these two sources. These adjustments deal with: 1) periodic reclassifications of industrial vs. commercial electricity usage at the state level and 2) the amount of electricity used by non-enclosed equipment (non-building use) that is classified as commercial electricity sales. In part, after applying these adjustments, there is a good correspondence between the two sources over the the past four CBECS (beginning with 1992). However, as yet, there is no satisfactory explanation of the differences between the two sources for longer periods that include the 1980s.

  3. Deburring and surface finishing: The past ten years and projections for the next ten years

    SciTech Connect (OSTI)

    Gillespie, L.K.

    1990-09-01

    The 1970s were a decade of significant growth in deburring and surface finishing. In the 1980s progress was made in robotic finishing, burr formation models, surface finish measurement, new processes, equipment and tooling. The centers of burr and surface related research changed. The decade of the 1990s will bring greater competition, environmental restrictions, more processes, more automation, and better characterization and simulation of processes.

  4. Top Ten of 2010: NNSA Lists Year's Ten Best Stories | National...

    National Nuclear Security Administration (NNSA)

    of the fight to prevent nuclear proliferation, to the scientists and engineers ... the use of HEU in its production contributes to global proliferation challenges. ...

  5. Washington Closure Hanford: Ten Years of River Corridor Cleanup

    Broader source: Energy.gov [DOE]

    This timeline shows contractor Washington Closure Hanford's accomplishments over the past 10 years through its River Corridor Closure Contract.

  6. Table 2. Ten largest plants by generation capacity, 2014

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

    Sandy","Coal","Kentucky Power Co",1060 9,"Riverside Generating LLC","Natural gas","Riverside Generating Co LLC",825 10,"J K Smith","Natural gas","East Kentucky Power Coop, Inc",784

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

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

    4 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Cummins Engines PDF icon 2004deerstang1.pdf More Documents & Publications The California Demonstration Program ...

  8. Compound and Elemental Analysis At Valley Of Ten Thousand Smokes...

    Open Energy Info (EERE)

    identification was also undertaken for selected samples using standard X-ray powder diffraction (XRD) techniques at the University of Alaska Fairbanks. Since the VTTS fossil...

  9. Table 2. Ten largest plants by generation capacity, 2014

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

    Power & Light Co",1912 9,"Hines Energy Complex","Natural gas","Duke Energy Florida, Inc",1912 10,"H L Culbreath Bayside Power Station","Natural gas","Tampa Electric Co",1854

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

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

    broaden the community of researchers capable of using leadership computing resources. ... are at NERSC, for "Simulation of Large Hadron Collider Events Using Leadership Computing." ...

  11. NSAR Ten Year Renewable Energy Plan - Integration Planning

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

    and Workforce (52) - Coordination (48) - Basic InfrastructureHybrid Systems (46) 8 ... Profiteers * Cinderella et.al. * A quick Visual Arctic Conclusion 13 14 Off we go into ...

  12. Ten Los Alamos scientists honored by American Physical Society

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

    co-inventing the ghost fluid method, mapped weighted essentially non-oscillatory schemes, Runge-Kutta-Legendre time integration, and applications of level set methods. Nominated...

  13. TopTen Energy Efficient Products Website | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontenttopten-energy-efficient-products-webs Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible...

  14. Table 2. Ten largest plants by generation capacity, 2014

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

    Washington" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079 2,"Chief ...

  15. Table 2. Ten largest plants by generation capacity, 2014

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

    Delaware" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Hay Road","Natural gas","Calpine Mid-Atlantic Generation LLC",1136 2,"Edge ...

  16. Table 2. Ten largest plants by generation capacity, 2014

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

    Louisiana" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Nine Mile Point","Natural gas","Entergy Louisiana LLC",2083.3 2,"Willow Glen","Natural ...

  17. Table 2. Ten largest plants by generation capacity, 2014

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

    District of Columbia" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"US GSA Heating and Transmission","Natural gas","US GSA Heating and ...

  18. Table 2. Ten largest plants by generation capacity, 2014

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

    Alaska" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Beluga","Natural gas","Chugach Electric Assn Inc",344.4 2,"George M Sullivan Generation ...

  19. Table 2. Ten largest plants by generation capacity, 2014

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

    Colorado" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Comanche (CO)","Coal","Public Service Co of Colorado",1410 2,"Craig ...

  20. Table 2. Ten largest plants by generation capacity, 2014

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

    Utah" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Intermountain Power Project","Coal","Los Angeles Department of Water & Power",1800 ...

  1. Table 2. Ten largest plants by generation capacity, 2014

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

    Tennessee" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Cumberland (TN)","Coal","Tennessee Valley Authority",2470 2,"Sequoyah","Nuclear","Tenn...

  2. Table 2. Ten largest plants by generation capacity, 2014

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

    Virginia" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Bath County","Pumped storage","Virginia Electric & Power Co",3003 2,"North ...

  3. Table 2. Ten largest plants by generation capacity, 2014

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

    Oklahoma" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Northeastern","Coal","Public Service Co of Oklahoma",1830 2,"Redbud Power ...

  4. Table 2. Ten largest plants by generation capacity, 2014

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

    United States" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079 2,"Palo ...

  5. Table 2. Ten largest plants by generation capacity, 2014

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

    California" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Dynegy Moss Landing Power Plant","Natural gas","Dynegy -Moss Landing LLC",2529 ...

  6. Table 2. Ten largest plants by generation capacity, 2014

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

    Idaho" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Brownlee","Hydroelectric","Idaho Power Co",744 2,"Dworshak","Hydroelectric","USACE ...

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

    National Nuclear Security Administration (NNSA)

    update. Section 6: Real Property Asset Management LLNL is supporting the DOE enterprise strategic infrastructure planning process through the Laboratory Operations Board. The...

  8. Ten Years of Development Experience with Advanced Light Truck Diesel

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

    Engines | Department of Energy 4 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Cummins Engines PDF icon 2004_deer_stang1.pdf More Documents & Publications The California Demonstration Program for Control of PM from Diesel Backup Generators = Demonstrated Petroleum Reduction Using Oil Bypass Filter Technology on Heavy and Light Vehicles EPA Diesel Update

  9. Office of Secure Transportation Ten-Year Site Plan

    National Nuclear Security Administration (NNSA)

    ... Type: Secure Transportation Asset Program Responsible Field Office: New Mexico Web Site: Site Manager: Kerry M. Clark (Acting) Site Overview OST facilities are ...

  10. Table 2. Ten largest plants by generation capacity, 2014

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

    Peck","Hydroelectric","USCE-Missouri River District",200 8,"NaturEner Rim Rock Energy","Wind","NaturEner Rim Rock Energy LLC",184.6 9,"Judith Gap Wind Energy ...

  11. National service with ten presidents of the United States

    SciTech Connect (OSTI)

    Seaborg, G.T.

    1992-10-01

    This document is a biography of the renowned nuclear chemist, Glenn T. Seaborg. It covers his career over the presidential terms of Franklin Roosevelt through George Bush. It contains many personnel accounts of historic events. Photographs of Seaborg and the various Presidents are presented.

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

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

    certification, while the Rojo Gomez, Mexico location earned Silver level certification. ...em> Schneider Electric Goes Platinum-and Silver-in Superior Energy Performance Advanced ...

  13. Valley Of Ten Thousand Smokes Region Geothermal Area | Open Energy...

    Open Energy Info (EERE)

    Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With Form" above to add content History and Infrastructure...

  14. Valley Of Ten Thousand Smokes Region Geothermal Area | Open Energy...

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  15. FY15 Ten Year Site Plan Limited Update.pdf

    National Nuclear Security Administration (NNSA)

  16. Development of a ten inch manipulators-based, flexible, broadband...

    Office of Scientific and Technical Information (OSTI)

    Authors: Steel, A. B., E-mail: steel1@llnl.gov ; Dunn, J. ; Emig, J. ; Beiersdorfer, P. ; Brown, G. V. ; Shepherd, R. ; Marley, E. V. 1 ; Hoarty, D. J. 2 + Show Author ...

  17. 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).

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

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Fact #781: May 27, 2013 Top Ten Natural Gas Producing Countries

    Broader source: Energy.gov [DOE]

    In 2011, Russia and the United States were by far the top natural gas producing countries, with more than four times that of Iran, the third largest producer of natural gas. Although Russia and the...

  20. Ten Frequently Asked Questions and Answers About Wind Energy Grid Integration

    Broader source: Energy.gov [DOE]

    First presented to the Kansas State Legislature in 2008, these slides present 10 questions and answers regarding basic wind power issues including technology, transmission, and integration.