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Sample records for recs end-use models

  1. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.

    2010-04-09

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

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

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

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

  3. RECS Archive

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

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

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

    Gasoline and Diesel Fuel Update (EIA)

    How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: ... ESS gathers data on how much electricity, natural gas, fuel oil, and propane were ...

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

    SciTech Connect (OSTI)

    Berendt, Christopher B.

    2006-06-15

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

  6. Refining and end use study of coal liquids. Topical report: Petroleum Refinery; Linear Programming Model; and Design Basis

    SciTech Connect (OSTI)

    1995-03-01

    A model was developed for use in the Bechtel PIMS (Process Industry Modeling System) linear programming software to simulate a generic Midwest (PADD II) petroleum refinery of the future. This ``petroleum-only`` version of the model establishes the size and complexity of the refinery after the year 2000 and prior to the introduction of coal liquids. It should be noted that no assumption has been made on when a plant can be built to produce coal liquids except that it will be after the year 2000. The year 2000 was chosen because it is the latest year where fuel property and emission standards have been set by the Environmental Protection Agency. It assumes the refinery has been modified to accept crudes that are heavier in gravity and higher in sulfur than today`s average crude mix. In addition, the refinery has also been modified to produce a product slate of transportation fuels of the future (i.e. 40% reformulated gasolines). This model will be used as a basis for determining the optimum scheme for processing coal liquids in a petroleum refinery. This report summarizes the design basis for this ``petroleum only`` LP refinery model. A report detailing the refinery configuration when coal liquids are processed will be provided at a later date.

  7. End Use and Fuel Certification

    Broader source: Energy.gov [DOE]

    Breakout Session 2: Frontiers and Horizons Session 2–B: End Use and Fuel Certification John Eichberger, Vice President of Government Relations, National Association for Convenience Stores

  8. End-Use Sector Flowchart

    Broader source: Energy.gov [DOE]

    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.

  9. 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.

  10. RECS student sequestration program

    SciTech Connect (OSTI)

    2007-12-31

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

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

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

    As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow comparison of ...

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

    Open Energy Info (EERE)

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

  13. Quick Guide: Renewable Energy Certificates (RECs)

    SciTech Connect (OSTI)

    2011-07-18

    Guide for Federal agencies considering renewable energy certificate (REC) purchases to fulfill Federal renewable energy requirements.

  14. ,"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" ...

  15. 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.

  16. ,"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" ...

  17. ,"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" ...

  18. ,"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" ...

  19. " Row: End Uses;"

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

    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

  20. " Row: End Uses;"

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

    8 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel

  1. 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...

  2. ,"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 ...

  3. " Row: End Uses;"

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

    3. End Uses of Fuel Consumption, 1998;" " 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

  4. 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:...

  5. " Row: End Uses;"

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

    7 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal" " ","for ","Residual","and","Natural

  6. " Row: End Uses;"

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

    8 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal","RSE" " ","for ","Residual","and","Natural

  7. " Row: End Uses;"

    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

  8. " Row: End Uses;"

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

    7 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." ,,,"Distillate",,,"Coal" ,,,"Fuel Oil",,,"(excluding Coal" ,"Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)" ,"for

  9. REC Tracking Systems Design Guide

    SciTech Connect (OSTI)

    Meredith Wingate

    2004-02-03

    OAK-B135 The Design Guide is presented in three parts. Section II describes the need for REC tracking, the two principal tracking methods available, and, in simple terms, the operation of certificate-based systems. Section III presents the major issues in the design of certificate-based tracking systems and discusses the advantages and disadvantages of alternative solutions. Finally, Section IV offers design principles or recommendations for most of these issues.

  10. Healthcare Energy End-Use Monitoring

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report describes the NREL partnership with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, which can be used to more effectively prioritize and refine the scope of investments in new metering and energy audits.

  11. 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.

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

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

    efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential Energy Consumption Survey (RECS). ...

  13. 1990 RECS Public Use Microdata Files

    Gasoline and Diesel Fuel Update (EIA)

    Data for: 1990 Released: September 2008 The 1990 Residential Energy Consumption Survey (RECS) was designed by the Energy Information Administration (EIA) to provide information on ...

  14. 1987 RECS Public Use Microdata Files

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

    Data for: 1987 Released: September 2008 The 1987 Residential Energy Consumption Survey (RECS) was designed by the Energy Information Administration (EIA) to provide information on ...

  15. Marginal Energy Prices - RECS97 Update

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

    Marginal Energy Prices - RECS97 Update The original estimation of residential marginal energy prices at the individual household level (as reported in the Marginal Energy Prices ...

  16. 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.

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

    SciTech Connect (OSTI)

    Heeter, J.

    2013-10-01

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

  18. Level: National Data; Row: End Uses within NAICS Codes; Column...

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

    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. ...

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

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

    5 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate ...

  20. Level: National and Regional Data; Row: End Uses; Column: Energy...

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

    6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil ...

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

    Gasoline and Diesel Fuel Update (EIA)

    End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. ...

  2. Level: National Data; Row: End Uses within NAICS Codes; Column...

    Gasoline and Diesel Fuel Update (EIA)

    2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel ...

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

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

    6 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil ...

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

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

    End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate ...

  5. Level: National and Regional Data; Row: End Uses; Column: Energy...

    Gasoline and Diesel Fuel Update (EIA)

    5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate ...

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

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

    End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. ...

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

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

    End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or ...

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

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

    2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel ...

  9. Level: National Data; Row: End Uses within NAICS Codes; Column...

    Gasoline and Diesel Fuel Update (EIA)

    1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. ...

  10. Level: National and Regional Data; Row: End Uses; Column: Energy...

    Gasoline and Diesel Fuel Update (EIA)

    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. ...

  11. 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.

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

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

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

  14. 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.

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

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

    Alternative Strategies for Low Pressure End Uses Alternative Strategies for Low Pressure End Uses This tip sheet outlines alternative strategies for low-pressure end uses as a pathway to reduced compressed air energy costs. COMPRESSED AIR TIP SHEET #11 Alternative Strategies for Low Pressure End Uses (August 2004) (246.6 KB) More Documents & Publications Eliminate Inappropriate Uses of Compressed Air Compressed Air System Control Strategies Engineer End Uses for Maximum Efficiency

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

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

    According to results from EIA's 2009 Residential Energy Consumption Survey (RECS), the stock of homes built in the 1970s and 1980s averages less than 1,800 square feet (Fig. 1). ...

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

    Gasoline and Diesel Fuel Update (EIA)

    slightly from 10.58 quads in 1978 to 10.55 quads in 2005 as reported by the most recent consumption and expenditures data from the Residential Energy Consumption Survey (RECS). ...

  18. Plumas-Sierra REC- PV Rebate Program

    Broader source: Energy.gov [DOE]

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

  19. Quick Guide: Renewable Energy Certificates (RECs) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01

    Guide for Federal agencies considering renewable energy certificate (REC) purchases to fulfill Federal renewable energy requirements.

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports Has your company been contacted about the RECS Energy Supplier Survey (ESS)? State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data

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

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

    U.S. Energy Information Administration (EIA) About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports Has your company been contacted about the RECS Energy Supplier Survey (ESS)? State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data

  2. Level: National Data; Row: End Uses within NAICS Codes; Column...

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

    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: ...

  3. Level: National and Regional Data; Row: End Uses; Column: Energy...

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

    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: ...

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

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

    5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. ...

  5. 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.

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

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

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

  7. 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....

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

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

    0 * August 2004 Industrial Technologies Program Suggested Actions * Review compressed air end uses and determine the required level of air pressure. * Review the compressed air end ...

  9. 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...

  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. 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...

  12. 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...

  13. ,"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" ...

  14. ,"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 ...

  15. ,"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 ...

  16. ,"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" ...

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

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

    2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ...

  18. Estimating Methods for Determining End-Use Water Consumption

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

  19. 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...

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

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

    Data for" ,"Data 1","North Dakota Natural Gas Consumption by End ... 10:31:27 AM" "Back to Contents","Data 1: North Dakota Natural Gas Consumption by End Use" ...

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

    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

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

    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

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

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

    2 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End

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

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

    4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net

  5. 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

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

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

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

  7. 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.

  8. 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.

  9. 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.

  10. Regional REC and RPS Best Practices

    SciTech Connect (OSTI)

    Jennifer Alvarado

    2009-09-30

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Office of Environmental Management (EM)

    (left) and SIP Hut (right).
    Credit: Oak Ridge National Laboratory. When Saving Energy Helps Save Lives National lab researchers are working with U.S. Military to evaluate ...

  13. REC Group Renewable Energy Corporation | Open Energy Information

    Open Energy Info (EERE)

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

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

    Gasoline and Diesel Fuel Update (EIA)

    Energy Usage The 1997 Residential Energy Consumption Survey (RECS) collected household energy data for the four most populated States: California, Florida, New York, and Texas. ...

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

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

    9 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing characteristics tables + EXPAND ALL ...

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

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

    5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Housing Characteristics Tables + EXPAND ALL Floorspace - ...

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

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

    An updated estimation of residential marginal energy prices at the individual house level using the 1997 RECS survey data margepricerecs97.pdf (18.15 KB) More Documents & ...

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

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

    1. End Uses of Fuel Consumption, 1998;" " 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" " ","

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

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

    2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," ","

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

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

    3. End Uses of Fuel Consumption, 1998;" " 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

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

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

    4. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ",,,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","Net

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

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

    1 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal" " "," ","

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

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

    2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," ","

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

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

    3 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" " "," ","for

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

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

    4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for

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

    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)"

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

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

    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

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

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

    1 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)"

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

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

    3 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net

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

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

    6:35:35 AM" "Back to Contents","Data 1: U.S. Natural Gas Consumption by End Use" ...2","N3035US2","N3025US2","N3045US2" "Date","U.S. Natural Gas Total Consumption ...

  11. 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.

  12. 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

  13. 1997 RECS data on consumer usage of appliances

    SciTech Connect (OSTI)

    Latta, R.B.

    1998-07-01

    The 1997 Residential Energy Consumption Survey (RECS) conducted by the Energy Information Administration contained questions on how households use various appliances. This includes the following appliance usage (1) personnel computers, (2) cooking appliances, (3) conventional ovens, (4) microwave ovens, (5) clothes washers, and (6) clothes dryer. Many of these items were first collected in the 1997 RECS. In this paper, appliance usage by household demographic characteristics (household income, age of householder, and number of household members) are examined with an emphasis on results for data items that were first collected in the 1997 RECS.

  14. 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.

  15. REC ScanWafer AS | Open Energy Information

    Open Energy Info (EERE)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  17. 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....

  18. 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.

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

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

    This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses - information ...

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

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

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

  1. 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.

  2. 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

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

    Open Energy Info (EERE)

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

  4. ,"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"...

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

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

    1. End Uses of Fuel Consumption, 1998;" " 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" " ","

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

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

    2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " ","

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

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

    5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " ","

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

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

    6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " ","

  9. " 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" " ","

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

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

    5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " ","

  11. 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.

  12. 2017 Levelized Costs AEO 2012 Early Release

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

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

  13. 2017 PARC All Hands & Scientific Advisory Committee Meetings |

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

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

  14. " 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

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

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

    6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG

  16. Developing an industrial end-use forecast: A case study at the Los Angeles department of water and power

    SciTech Connect (OSTI)

    Mureau, T.H.; Francis, D.M.

    1995-05-01

    The Los Angeles Department of Water and Power (LADWP) uses INFORM 1.0 to forecast industrial sector energy. INFORM 1.0 provides an end-use framework that can be used to forecast electricity, natural gas or other fuels consumption. Included with INFORM 1.0 is a default date set including the input data and equations necessary to solve each model. LADWP has substituted service area specific data for the default data wherever possible. This paper briefly describes the steps LADWP follows in developing those inputs and application in INFORM 1.0.

  17. 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.

  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. New and Renewable Energy Centre NaREC | Open Energy Information

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

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

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

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

    fuel oil usage for this delivery address between September 2008 and April 2010. Delivery ... Form EIA 457G OMB No. 1905-0092 Expires 13113 2009 RECS Fuel Oil and Kerosene Usage Form ...

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

    SciTech Connect (OSTI)

    Hart, Philip R.; Xie, YuLong

    2015-02-05

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

  3. 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).

  4. 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

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

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

    End-use Electricity Demand Volume 3 of 4 Volume 2 PDF Volume 3 PDF Volume 1 PDF Volume 4 PDF NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U.S. Department of Energy DeMeo, E. Renewable Energy Consulting Services, Inc. Reilly, J. Massachusetts Institute of Technology Mai,

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

    Open Energy Info (EERE)

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

  7. 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).

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  9. About EIA - Insideeia - U.S. Energy Information Administration...

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

    Survey, which is part of the Residential Energy Consumption Survey (RECS). Their poster compared the major electricity end-use estimates of an engineering calibration model to ...

  10. 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.

  11. 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.

  12. RECS Archive

    Gasoline and Diesel Fuel Update (EIA)

    Quarterly Coal Distribution Report Release Date: August 17, 2016 | Next Release Date: December 22, 2016 | full report The Quarterly Coal Distribution Report (QCDR) provides detailed U.S. domestic coal distribution data by coal origin state, coal destination state, mode of transportation, and consuming sector. All quarterly data are preliminary and will be superseded by the release of the corresponding "Annual Coal Distribution Report." Highlights for the fourth quarter 2015: Total

  13. 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.

  14. Refining and end use study of coal liquids. Quarterly report, October--December 1996

    SciTech Connect (OSTI)

    1996-12-31

    Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellog Co. as subcontractors, initiated a study on November 1, 1993 for the US Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. 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 (PIMS) 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 during the reporting period, October through December 1996, were in the areas of Option 1 blending and Option 1 FCC production run.

  15. 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

  16. Refining and end use study of coal liquids II - linear programming analysis

    SciTech Connect (OSTI)

    Lowe, C.; Tam, S.

    1995-12-31

    A DOE-funded study is underway to determine the optimum refinery processing schemes for producing transportation fuels that will meet CAAA regulations from direct and indirect coal liquids. The study consists of three major parts: pilot plant testing of critical upgrading processes, linear programming analysis of different processing schemes, and engine emission testing of final products. Currently, fractions of a direct coal liquid produced form bituminous coal are being tested in sequence of pilot plant upgrading processes. This work is discussed in a separate paper. The linear programming model, which is the subject of this paper, has been completed for the petroleum refinery and is being modified to handle coal liquids based on the pilot plant test results. Preliminary coal liquid evaluation studies indicate that, if a refinery expansion scenario is adopted, then the marginal value of the coal liquid (over the base petroleum crude) is $3-4/bbl.

  17. Refining and end use study of coal liquids. Quarterly report, October--December 1995

    SciTech Connect (OSTI)

    1995-12-31

    Bechtel, with South west research Institute, Amoco Oil R&D, and the M. W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the US Department of Energy`s Pittsburgh Energy Technology Center to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. 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 Process Industry Modeling System software. The objective 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 effort conducted during the fourth quarter of 1995 were in the areas of: IL catalytic cracking--microactivity tests were conducted on various wax blends; IL wax hydrocracking--a pilot plant run was conducted on a wax/petroleum blend; and DL2 characterization and fractionation.

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

    SciTech Connect (OSTI)

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

    2014-02-01

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

  19. 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.

  20. 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

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

    SciTech Connect (OSTI)

    Musial, W.

    2014-08-01

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

  3. 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.

  4. 2014-04-30 Public Meeting Agenda: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  6. Hot Water Electric Energy Use in Single-Family Residences in the Pacific Northwest : Regional End-Use Metering Project (REMP).

    SciTech Connect (OSTI)

    Taylor, Megan E., Ritland, Keith G., Pratt, R.G.

    1991-09-01

    The Office of Energy Resources of the Bonneville Power Administration carriers out generation and conservation resource planning. The analysis of historical trends in and determinants of energy consumption is carried out by the office's End-Use Research Section. The End-Use Research Section operates a comprehensive data collection program to provide pertinent information to support demand-side conservation planning, load forecasting, and conservation program development and delivery. Part of this on-going program, commonly known as the End-Use Load and Consumer Assessment Program (ELCAP), was recently renamed the Regional End-Use Metering Project (REMP) to reflect an emphasis on metering rather than analytical activities. REMP is designed to collect electricity usage data through direct monitoring of end-use loads in buildings in the residential and commercial sectors and is conducted for Bonneville by Pacific Northwest Laboratories (Battelle). The detailed summary information in this report is on energy used for water heaters in the residential sector and is based on data collected from September 1985 through December 1990 for 336 of the 499 REMP metered homes. Specific information is provided on annual loads averaged over the years and their variation across residences. Descriptions are given of use as associated with demographic and energy-related characteristics. Summaries are also provided for electricity use by each year, month, and daytype, as well as at peak hot water load and peak system times. This is the second residential report. This report focuses on a specific end use and adds detail to the first report. Subsequent reports are planned on other individual end uses or sets of end uses. 15 refs., 29 figs., 10 tabs.

  7. 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.

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

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

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

  9. The effect of efficiency standards on water use and water heating energy use in the US: A detailed end-use treatment

    SciTech Connect (OSTI)

    Koomey, J.G.; Dunham, C.; Lutz, J.D.

    1994-05-01

    Water heating is an important end-use, accounting for roughly 16% of total primary energy consumption in the US residential sector. Recently enacted efficiency standards on water heaters and hot water-using equipment (e.g., dishwashers, clothes washers, showerheads, and faucets) will substantially affect the energy use of water heaters in the future. Assessment of current and future utility programs and government policies requires that regulators, resource planners, and forecasters understand the effects of these regulations. In order to quantify these impacts, this paper presents a detailed end-use breakdown of household hot and cold water use developed for the US Department of Energy. This breakdown is based on both previous studies and new data and analysis. It is implemented in a spreadsheet forecasting framework, which allows significant flexibility in specifying end-use demands and linkages between water heaters and hot water-using appliances. We disaggregate total hot and cold water use (gallons per day) into their component parts: showers, baths, faucets (flow dominated and volume dominated), toilets, landscaping/other, dishwashers, and clotheswashers. We then use the end-use breakdown and data on equipment characteristics to assess the impacts of current efficiency standards on hot water use and water heater energy consumption.

  10. Comparative evolution of the recA gene of surface and deep subsurface microorganisms (an evolutionary clock of intermediate rate). Final report

    SciTech Connect (OSTI)

    Miller, R.V.

    1998-04-01

    Because of the ability of the recA protein product to maintain both DNA integrity and increase genetic diversity, this gene may be essential to the survival of microorganisms following the damaging effects of numerous environmental stresses such as exposure to solar UV radiation, exposure to gamma radiation, starvation, and changing environments. While the various activities and amino-acid sequence of recA have been highly conserved among the eubacteria and archaea, little is known as to whether a strict structure-function relationship has been conserved. In other words, are the same regions of this highly plastic, functionally heterogeneous protein involved in the same catalytic capacities throughout the bacterial kingdom? While it is reasonable to assume that this type of conservation has also occurred, we felt it necessary to test the assumption by demonstrating that mutations in different genera of bacteria which eliminate similar functions (i.e., lead to similar phenotypes) are caused by changes in the amino-acid sequence in the same regions of their recA proteins. Therefore, we located the changes in nucleotide sequence in two recA mutants of P. aeruginosa which displayed mutant phenotypes in recombination and UV resistance. Our assumption was that if structure-function relationships held, these mutations would be found in areas already identified as essential for the function of the E. coli recA protein.

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

    Broader source: Energy.gov [DOE]

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

  12. 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.

  13. 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

  14. 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.

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

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

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

  16. 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.

  17. Xcel Energy REC Portfolio

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

    Xcel Energy Renewable Resources Jim Hill February 7, 2012 2 Xcel Energy Overview Northern States Power Company- Minnesota Northern States Power Company- Minnesota Northern States ...

  18. "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)"

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

    8 Relative Standard Errors for Table 5.8;" " Unit: Percents." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze

  19. 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...

  20. Indiana 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...

  1. 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...

  2. 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...

  3. 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...

  4. Florida 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...

  5. 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...

  6. 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...

  7. 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...

  8. Colorado 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. 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...

  10. 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...

  11. 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...

  12. 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...

  13. Georgia 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. Utah 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...

  3. 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...

  4. 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...

  5. Arkansas 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...

  6. Vermont 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. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. Tennessee 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. Washington Natural Gas Consumption by End Use

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

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

  5. ,"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 ...

  6. ,"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 ...

  7. ,"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...

  8. Connecticut Natural Gas Consumption by End Use

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

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

  9. Nebraska Natural Gas Consumption by End Use

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

    19,067 15,537 12,431 10,937 9,153 NA 2001-2016 Residential 7,036 4,955 3,172 2,138 1,474 839 1989-2016 Commercial 5,010 3,780 2,543 1,754 1,326 1,019 1989-2016 Industrial 6,919 6,686 6,710 6,518 6,348 NA 2001-2016 Vehicle Fuel 5 5 5 5 5 5 2010-2016 Electric Power 97 112 W 522 W 1,442

  10. Nevada Natural Gas Consumption by End Use

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

    31,756 24,686 22,720 20,955 22,349 25,661 2001-2016 Residential 8,270 5,536 3,452 2,449 1,952 1,486 1989-2016 Commercial 4,301 3,370 2,766 2,390 2,155 1,760 1989-2016 Industrial 1,397 1,253 1,352 1,313 1,272 1,224 2001-2016 Vehicle Fuel 66 60 66 64 92 89 2010-2016 Electric Power 17,722 14,466 15,084 14,739 16,878 21,102

  11. Ohio Natural Gas Consumption by End Use

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

    34,276 114,778 85,486 73,503 50,657 46,879 2001-2016 Residential 54,170 44,070 26,847 21,400 10,492 4,857 1989-2016 Commercial 29,716 23,431 14,886 12,054 6,639 4,160 1989-2016 Industrial 30,442 27,882 25,455 23,410 21,942 20,194 2001-2016 Vehicle Fuel 33 30 33 32 47 46 2010-2016 Electric Power 19,915 19,365 18,265 16,608 11,537 17,623

  12. Oklahoma Natural Gas Consumption by End Use

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

    59,235 44,303 42,383 41,317 44,129 50,161 2001-2016 Residential 12,390 7,858 4,760 2,451 1,817 1,414 1989-2016 Commercial 7,380 5,031 3,417 2,202 2,081 1,556 1989-2016 Industrial 17,678 15,333 16,356 16,267 17,233 15,608 2001-2016 Vehicle Fuel 38 35 38 37 44 43 2010-2016 Electric Power 21,749 16,047 17,812 20,360 22,954 31,539

  13. Oregon Natural Gas Consumption by End Use

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

    27,245 22,360 19,860 12,135 11,000 14,482 2001-2016 Residential 7,032 4,943 4,595 2,280 1,648 1,173 1989-2016 Commercial 4,319 3,194 2,973 1,839 1,438 1,093 1989-2016 Industrial 5,503 4,856 4,991 4,543 4,515 4,214 2001-2016 Vehicle Fuel 17 15 17 17 16 15 2010-2016 Electric Power 10,374 9,351 7,284 3,456 3,384 7,988

  14. Pennsylvania Natural Gas Consumption by End Use

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

    133,446 119,940 96,223 83,241 72,611 76,819 2001-2016 Residential 46,310 38,599 23,070 17,375 9,570 5,241 1989-2016 Commercial 27,618 22,317 13,695 11,037 6,957 4,967 1989-2016 Industrial 23,708 23,498 22,659 21,209 20,216 19,280 2001-2016 Vehicle Fuel 35 31 35 33 37 36 2010-2016 Electric Power 35,776 35,495 36,765 33,585 35,830 47,294

  15. 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...

  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. Biomass Resource Allocation among Competing End Uses

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

    ... and wood-derived fuels, primarily wood pellets, accounted for 12% of total energy ... 85% 100,000 11.76 Woodagricultural pellets Ton 130.00 80% 15,000,000 10.83 ...

  18. 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...

  19. 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...

  20. ,"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...

  1. ,"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...

  2. ,"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...

  3. ,"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...

  4. ,"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...

  5. ,"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...

  6. ,"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...

  7. ,"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...

  8. ,"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...

  9. ,"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...

  10. ,"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...

  11. Wisconsin Natural Gas Consumption by End Use

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

    66,422 57,410 49,673 39,929 NA NA 2001-2016 Residential 24,782 19,769 14,268 11,144 5,012 2,584 1989-2016 Commercial 15,417 13,091 9,179 7,139 4,535 3,134 1989-2016 Industrial 15,948 14,197 12,910 11,800 NA NA 2001-2016 Vehicle Fuel 11 10 11 11 13 12 2010-2016 Electric Power 10,264 10,342 13,305 9,836 9,830 11,626

  12. Iowa Natural Gas Consumption by End Use

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

    40,243 34,191 28,634 22,307 20,896 19,116 2001-2016 Residential 13,190 10,164 6,736 4,552 2,108 1,120 1989-2016 Commercial 8,771 7,041 4,879 3,435 2,066 1,568 1989-2016 Industrial 16,580 15,443 15,476 13,370 14,096 14,144 2001-2016 Vehicle Fuel 2 2 2 2 2 2 2010-2016 Electric Power 1,700 1,542 1,541 948 2,624 2,281

  13. Massachusetts Natural Gas Consumption by End Use

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

    50,460 46,930 39,433 34,409 29,847 26,912 2001-2016 Residential 20,032 18,664 14,183 10,379 5,800 2,893 1989-2016 Commercial 15,256 13,347 10,090 8,352 5,401 3,616 1989-2016 Industrial 5,486 5,065 4,491 4,080 3,114 2,792 2001-2016 Vehicle Fuel 77 70 77 75 68 66 2010-2016 Electric Power 9,608 9,783 10,592 11,523 15,463 17,545

  14. Montana Natural Gas Consumption by End Use

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

    9,465 7,453 NA NA 3,842 NA 2001-2016 Residential 3,276 2,376 2,083 1,336 968 534 1989-2016 Commercial 3,244 2,434 2,271 1,487 1,157 778 1989-2016 Industrial 2,128 1,911 NA NA 1,716 NA 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 816 732 699 W W 798

  15. 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 ...

  16. 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...

  17. 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 ...

  18. Kansas Natural Gas Consumption by End Use

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

    Commercial 1,755 2,731 4,161 5,913 4,247 2,266 1989-2016 Industrial 8,738 8,919 11,086 11,471 9,114 8,667 2001-2016 Vehicle Fuel 1 1 1 1 1 1 2010-2016 Electric Power W W 804 725 ...

  19. 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...

  20. ,"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 ...

  1. ,"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 ...

  2. ,"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 ...

  3. ,"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 ...

  4. ,"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 ...

  5. ,"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 ...

  6. ,"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...

  7. ,"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 ...

  8. ,"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 ...

  9. ,"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 ...

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

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

    ... 38426,11440,5151,3311,2623,,355 38457,8360,3023,1975,2975,,389 38487,6579,1947,1592,2545,,496 38518,5853,990,999,2597,,1268 38548,7874,830,1046,4393,,1606 ...

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

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

    ... 35869,,8950,5824 35900,,5827,4236 35930,,3221,2738 35961,,2312,2291 35991,,1765,1947 36022,,1574,1818 36053,,1667,1869 36083,,2427,2102 36114,,4731,3442 36144,,7989,5595 ...

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

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

    ... 36326,,2065,1427 36356,,1479,1628 36387,,1617,1905 36418,,1489,1820 36448,,2658,1947 36479,,3997,2395 36509,,9040,4553 36540,,13149,6732 36571,,11829,6091 36600,,8180,4404 ...

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

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

    34043,,6255,4461 34074,,4043,3038 34104,,1947,1583 34135,,1274,1161 34165,,1040,1122 ...836,987,1723,1623,3,10500 40405,13482,1004,1947,1632,3,8895 40436,12628,951,1787,1591,3,82...

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

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

    ...113,1904,2289,1975,,14944 37057,17703,1272,1947,1872,,12611 37087,18312,1060,1763,1853,,13... 40831,22244,1504,2125,1629,145,16841 40862,19475,2839,2848,2021,141,11627 ...

  15. 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...

  16. 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...

  17. ,"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 ...

  18. ,"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 ...

  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. Virginia Natural Gas Consumption by End Use

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

    37,648 33,817 27,516 36,489 44,149 NA 2001-2016 Residential 1,442 1,913 3,395 6,309 7,966 17,223 1989-2016 Commercial 2,587 3,658 4,647 6,019 6,065 11,580 1989-2016 Industrial ...

  1. 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...

  2. 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 ...

  3. Texas Natural Gas Consumption by End Use

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

    Commercial 10,313 12,553 17,584 22,844 19,794 14,719 1989-2016 Industrial 128,958 134,340 141,897 145,142 132,333 138,685 2001-2016 Vehicle Fuel 300 290 300 333 301 333 2010-2016 ...

  4. ,"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...

  5. California Natural Gas Consumption by End Use

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

    222,856 173,160 162,594 146,734 147,269 165,474 2001-2016 Residential 69,466 43,542 39,610 28,072 24,657 21,153 1989-2016 Commercial 26,589 21,340 20,427 17,119 16,382 15,903 1989-2016 Industrial 64,347 58,941 62,711 61,587 63,299 62,742 2001-2016 Vehicle Fuel 1,565 1,413 1,565 1,514 1,447 1,400 2010-2016 Electric Power 60,889 47,924 38,281 38,443 41,483 64,275

  6. Delaware Natural Gas Consumption by End Use

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

    9,040 8,389 8,707 8,781 7,721 9,045 2001-2016 Residential 2,084 1,879 1,135 823 475 231 1989-2016 Commercial 2,003 1,658 1,113 934 695 535 1989-2016 Industrial 2,821 2,517 2,666 2,464 2,643 2,335 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 2,132 2,335 3,792 4,559 3,908 5,944

  7. Hawaii Natural Gas Consumption by End Use

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

    259 247 248 256 243 240 2001-2016 Residential 52 47 49 51 44 45 1989-2016 Commercial 159 155 157 162 151 154 1989-2016 Industrial 47 44 41 42 47 41 2001-2016 Vehicle Fuel 1 1 1 1 0 0 2010-2016 Electric Power -- -- -- -- -- --

  8. Idaho Natural Gas Consumption by End Use

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

    3,779 11,067 9,200 4,791 5,641 5,396 2001-2016 Residential 4,467 3,241 2,532 1,291 881 580 1989-2016 Commercial 2,781 2,076 1,705 992 851 653 1989-2016 Industrial 3,647 3,335 3,186 2,494 2,463 2,137 2001-2016 Vehicle Fuel 15 13 15 14 14 14 2010-2016 Electric Power 2,870 2,401 1,763 W 1,431 2,013

  9. Illinois Natural Gas Consumption by End Use

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

    51,423 128,292 97,792 76,907 54,445 NA 2001-2016 Residential 78,595 62,355 41,165 30,201 15,563 9,476 1989-2016 Commercial 35,911 30,543 21,363 15,810 9,712 7,250 1989-2016 Industrial 28,674 26,493 24,050 21,279 19,731 NA 2001-2016 Vehicle Fuel 32 29 32 31 38 37 2010-2016 Electric Power 8,211 8,872 11,181 9,587 9,400 13,205

  10. 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...

  11. 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 ...

  12. 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...

  13. ,"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...

  14. ,"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...

  15. REC | OpenEI Community

    Open Energy Info (EERE)

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

  16. REC Solar | Open Energy Information

    Open Energy Info (EERE)

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

  17. AEO2014 Preliminary Results

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

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

  18. User-owned utility models for rural electrification

    SciTech Connect (OSTI)

    Waddle, D.

    1997-12-01

    The author discusses the history of rural electric cooperatives (REC) in the United States, and the broader question of whether such organizations can serve as a model for rural electrification in other countries. The author points out the features of such cooperatives which have given them stability and strength, and emphasizes that for success of such programs, many of these same features must be present. He definitely feels the cooperative models are not outdated, but they need strong local support, and a governmental structure which is supportive, and in particular not negative.

  19. Modeling

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

    Modeling & Analysis, News, News & Events, Photovoltaic, Renewable Energy, Research & Capabilities, Solar, Solar Newsletter, SunShot, Systems Analysis Sandia Develops Stochastic ...

  20. Modeling

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

    Monte Carlo modeling it was found that for noisy signals with a significant background component, accuracy is improved by fitting the total emission data which includes the...

  1. Modeling

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

    Solar Sandia Labs Releases New Version of PVLib Toolbox Sandia has released version 1.3 of PVLib, its widely used Matlab toolbox for modeling photovoltaic (PV) power ...

  2. Modeling

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

    ... Sandia Will Host PV Bankability Workshop at Solar Power International (SPI) 2013 Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid ...

  3. Modeling

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

    Science and Actuarial Practice" Read More Permalink New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, ...

  4. Modeling

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

    Though adequate for modeling mean transport, this approach does not address ... Microphysics such as diffusive transport and chemical kinetics are represented by ...

  5. Modeling

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

    with application in modeling NDCX-II experiments Wangyi Liu 1 , John Barnard 2 , Alex Friedman 2 , Nathan Masters 2 , Aaron Fisher 2 , Alice Koniges 2 , David Eder 2 1 LBNL, USA, 2...

  6. Modeling

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

    NASA Earth at Night Video EC, Energy, Energy Efficiency, Global, Modeling, News & Events, Solid-State Lighting, Videos NASA Earth at Night Video Have you ever wondered what the ...

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

    SciTech Connect (OSTI)

    2007-10-15

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

  8. "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)"

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

    2 Relative Standard Errors for Table 5.2;" " Unit: Percents." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)&

  9. "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

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

    4 Relative Standard Errors for Table 5.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel

  10. "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

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

    6 Relative Standard Errors for Table 5.6;" " Unit: Percents." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel

  11. Energy End-Use Intensities in Commercial Buildings

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

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

  12. Energy End-Use Intensities in Commercial Buildings

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

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

  13. Energy End-Use Intensities in Commercial Buildings

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

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

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. District of Columbia 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...

  2. 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...

  3. 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...

  4. ,"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 ...

  5. New Jersey Natural Gas Consumption by End Use

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

    97,654 82,591 69,825 58,451 48,921 50,221 2001-2016 Residential 43,438 35,568 24,758 17,825 10,990 6,524 1989-2016 Commercial 23,535 20,511 15,734 11,497 9,176 8,184 1989-2016 Industrial 6,236 4,901 4,310 4,635 4,205 4,430 2001-2016 Vehicle Fuel 22 20 22 21 20 20 2010-2016 Electric Power 24,423 21,592 25,001 24,473 24,530 31,06

  6. New York Natural Gas Consumption by End Use

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

    66,096 147,258 115,017 102,772 NA NA 2001-2016 Residential 75,521 67,778 46,605 37,735 22,482 13,089 1989-2016 Commercial 47,112 40,286 27,747 23,632 16,859 14,939 1989-2016 Industrial 8,144 8,294 7,864 7,511 NA NA 2001-2016 Vehicle Fuel 367 332 367 356 347 336 2010-2016 Electric Power 34,953 30,569 32,434 33,539 40,017 44,977

  7. 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

  8. Rhode Island Natural Gas Consumption by End Use

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

    488 442 324 295 394 512 1989-2015 Commercial 327 275 195 186 249 NA 1989-2015 Industrial 709 673 658 681 694 683 2001-2015 Vehicle Fuel 8 7 7 7 7 7 2010-2015 Electric Power 5,728...

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

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

    1 * August 2004 Industrial Technologies Program Suggested Actions * Review the compressed air applications to determine which ones are valid high-pressure and which ones can ...

  10. End-Use Sector Flowcharts, Energy Intensity Indicators

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

    2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. vssp_12_wagner.pdf (1.32 MB) More Documents & Publications Ignition Control for HCCI High-Efficiency Clean Combustion in Light-Duty Multi-Cylinder Diesel Engines Expanding Robust HCCI Operation (Delphi CRADA) Cooling | Department of Energy

    A new approach, called Adaptive-Jet-Cooling, leverages two distinct spray patters of hollow conical sprays

  11. 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,...

  12. 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...

  13. 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 . . . . . ....

  14. 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...

  15. 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...

  16. 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...

  17. 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 ...

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

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

    ... 37271,4603,2030,1519,1045,,9 37302,4036,1730,1309,851,,145 37330,4766,1947,1414,1343,,61 37361,3060,1235,968,795,,62 37391,2078,759,555,706,,58 ...

  2. 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 ...

  3. End-Use Working Group Report | Department of Energy

    Energy Savers [EERE]

    through Technical Exchanges | Department of Energy Empowering the Next Generation: Connecting the U.S. and African Nations through Technical Exchanges Empowering the Next Generation: Connecting the U.S. and African Nations through Technical Exchanges July 31, 2014 - 2:55pm Addthis Director Dot Harris meets with Subramania I. Sritharan PhD, P.E., Central State University, and John J. Qu, Ph.D., George Mason University, fellow participants at the May 2014 U.S.-Africa Energy Ministerial in

  4. ,"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 ...

  5. 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...

  6. West Virginia Natural Gas Consumption by End Use

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

    6,180 6,835 NA 12,049 10,209 8,676 2001-2016 Residential 1,242 2,132 2,485 5,340 4,215 2,679 1989-2016 Commercial 1,547 1,923 2,034 3,648 3,015 2,308 1989-2016 Industrial 1,849 ...

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

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

    Consumers (Thousand Gallons)","New Mexico Total Distillate SalesDeliveries to Military Consumers (Thousand Gallons)","New Mexico No 2 Diesel SalesDeliveries to Off-Highway ...

  8. Texas Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Vessel Bunkering 198,625 323,153 306,887 210,408 208,962 281,626 1984-2014 On-Highway 3,711,173 3,849,991 4,114,193 4,375,991 4,672,287 5,210,804 1984-2014 Military 28,385 33,020 ...

  9. Florida Sales of Distillate Fuel Oil by End Use

    Gasoline and Diesel Fuel Update (EIA)

    Vessel Bunkering 84,718 118,991 142,198 131,685 126,464 124,343 1984-2014 On-Highway 1,322,703 1,340,494 1,329,312 1,340,337 1,394,235 1,420,204 1984-2014 Military 4,370 5,481 ...

  10. 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

  11. 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

  12. 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

  13. 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 ...

  14. 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...

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

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon ...

  16. 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 ...

  17. 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 ...

  18. New Hampshire Natural Gas Consumption by End Use

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

    NA 5,978 NA NA NA NA 2001-2016 Residential 854 1,334 1,136 831 626 307 1989-2016 Commercial 1,017 1,584 1,320 991 738 398 1989-2016 Industrial NA 856 NA NA NA NA 2001-2016 Vehicle ...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  20. 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,...

  1. 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,...

  2. New Mexico Natural Gas Consumption by End Use

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

    14,369 19,223 19,201 15,207 13,197 NA 2001-2016 Residential 3,863 6,379 6,677 4,728 3,249 2,324 1989-2016 Commercial 3,294 4,321 3,911 3,120 2,395 1,911 1989-2016 Industrial 1,616 ...

  3. North Dakota Natural Gas Consumption by End Use

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

    5,168 5,845 7,203 5,807 4,907 3,867 2001-2016 Residential 1,069 1,713 1,977 1,524 1,087 833 1989-2016 Commercial 1,214 1,808 2,141 1,649 1,203 983 1989-2016 Industrial 2,885 2,324 ...

  4. North Carolina Natural Gas Consumption by End Use

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

    43,008 NA 60,449 55,952 47,056 39,938 2001-2016 Residential 6,342 7,028 16,311 13,029 5,269 3,412 1989-2016 Commercial 5,548 NA 10,328 8,034 4,445 3,925 1989-2016 Industrial 8,911 ...

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

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

    Data for" ,"Data 1","North Carolina Natural Gas Consumption by End ... 10:31:26 AM" "Back to Contents","Data 1: North Carolina Natural Gas Consumption by End ...

  6. South Carolina Natural Gas Consumption by End Use

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

    28,108 23,675 21,477 17,418 19,570 20,869 2001-2016 Residential 6,854 5,676 2,278 1,399 718 498 1989-2016 Commercial 3,904 3,035 1,878 2,001 1,420 1,277 1989-2016 Industrial 7,803 7,191 7,441 7,163 7,354 6,920 2001-2016 Vehicle Fuel 2 2 2 2 4 4 2010-2016 Electric Power 9,544 7,772 9,878 6,853 10,074 12,170

  7. South Dakota Natural Gas Consumption by End Use

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

    8,936 7,713 6,727 6,191 5,206 4,764 2001-2016 Residential 2,322 1,791 1,322 986 532 233 1989-2016 Commercial 1,968 1,431 1,081 842 495 310 1989-2016 Industrial 4,111 3,866 3,718 3,584 3,465 3,374 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 535 625 605 779 714 847

  8. 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...

  9. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    Macumber, D.

    2012-10-01

    Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

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

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

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

  11. SUSTAINABILITY NEWS WAPA REC Assistance Deadline Extended

    Office of Environmental Management (EM)

    698 GWh of green power, totaling 14% of its total electricity consumption. ... http:www.lanl.govnewsroomnews-releases2013March03.29-end-of- roadrunner.php DOE ...

  12. REC Solar (Colorado) | Open Energy Information

    Open Energy Info (EERE)

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

  13. REC Solar (Oregon) | Open Energy Information

    Open Energy Info (EERE)

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

  14. Huizenga Response to TWS Recs.pdf

    Office of Environmental Management (EM)

    Visits Northwest Tribes Head of EM Visits Northwest Tribes May 28, 2015 - 12:00pm Addthis EM and Nez Perce officials visit the Bio-Control Center on the Nez Perce Reservation. From left to right: Kristen Ellis, EM Office of Intergovernmental and Community Activities Director; Gabe Bohnee, Manager of the Nez Perce Environmental Restoration and Waste Management Program; Stacy Charboneau, EM Richland Operations Office (RL) Manager; Mark Whitney, EM Acting Assistant Secretary; Jill Conrad, RL Tribal

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

    SciTech Connect (OSTI)

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

    2012-12-31

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

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

    Gasoline and Diesel Fuel Update (EIA)

    EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA ...

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

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

    Consumers could reduce overall cooling costs by installing and setting a programmable ... installation is easier and consumers can amortize costs over the life of a mortgage. ...

  18. 1987 RECS Public Use Microdata Files

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

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

  19. Modeling

    SciTech Connect (OSTI)

    Loth, E.; Tryggvason, G.; Tsuji, Y.; Elghobashi, S. E.; Crowe, Clayton T.; Berlemont, A.; Reeks, M.; Simonin, O.; Frank, Th; Onishi, Yasuo; Van Wachem, B.

    2005-09-01

    Slurry flows occur in many circumstances, including chemical manufacturing processes, pipeline transfer of coal, sand, and minerals; mud flows; and disposal of dredged materials. In this section we discuss slurry flow applications related to radioactive waste management. The Hanford tank waste solids and interstitial liquids will be mixed to form a slurry so it can be pumped out for retrieval and treatment. The waste is very complex chemically and physically. The ARIEL code is used to model the chemical interactions and fluid dynamics of the waste.

  20. Process modeling and industrial energy use

    SciTech Connect (OSTI)

    Howe, S O; Pilati, D A; Sparrow, F T

    1980-11-01

    How the process models developed at BNL are used to analyze industrial energy use is described and illustrated. Following a brief overview of the industry modeling program, the general methodology of process modeling is discussed. The discussion highlights the important concepts, contents, inputs, and outputs of a typical process model. A model of the US pulp and paper industry is then discussed as a specific application of process modeling methodology. Case study results from the pulp and paper model illustrate how process models can be used to analyze a variety of issues. Applications addressed with the case study results include projections of energy demand, conservation technology assessment, energy-related tax policies, and sensitivity analysis. A subsequent discussion of these results supports the conclusion that industry process models are versatile and powerful tools for energy end-use modeling and conservation analysis. Information on the current status of industry models at BNL is tabulated.

  1. Model Documentation Report: Residential Sector Demand Module...

    Gasoline and Diesel Fuel Update (EIA)

    The penetration rate for central air-conditioning is estimated by means of time series analysis of RECS survey data. Water Heating: Solar Water Heaters Market shares for solar...

  2. Household energy consumption and expenditures, 1987

    SciTech Connect (OSTI)

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  3. Inventory of state energy models

    SciTech Connect (OSTI)

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  4. Multi-State Load Models for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.

    2011-11-01

    Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.

  5. World Energy Projection System Plus Model Documentation: Commercial Model

    Reports and Publications (EIA)

    2016-01-01

    The Commercial Model of the World Energy Projection System Plus (WEPS ) is an energy demand modeling system of the world commercial end?use sector at a regional level. This report describes the version of the Commercial Model that was used to produce the commercial sector projections published in the International Energy Outlook 2016 (IEO2016). The Commercial Model is one of 13 components of the WEPS system. The WEPS is a modular system, consisting of a number of separate energy models that are communicate and work with each other through an integrated system model. The model components are each developed independently, but are designed with well?defined protocols for system communication and interactivity. The WEPS modeling system uses a shared database (the “restart” file) that allows all the models to communicate with each other when they are run in sequence over a number of iterations. The overall WEPS system uses an iterative solution technique that forces convergence of consumption and supply pressures to solve for an equilibrium price.

  6. Emerging Markets for Renewable Energy Certificates: Opportunities and Challenges

    SciTech Connect (OSTI)

    Holt, E.; Bird, L.

    2005-01-01

    Renewable energy certificates (RECs) represent the attributes of electricity generated from renewable energy sources. These attributes are unbundled from the physical electricity, and the two products-the attributes embodied in the certificates and the commodity electricity-may be sold or traded separately. RECs are quickly becoming the currency of renewable energy markets because of their flexibility and the fact that they are not subject to the geographic and physical limitations of commodity electricity. RECs are currently used by utilities and marketers to supply renewable energy products to end-use customers as well as to demonstrate compliance with regulatory requirements, such as renewable energy mandates. The purpose of this report is to describe and analyze the emerging market for renewable energy certificates. It describes how RECs are marketed, examines RECs markets including scope and prices, and identifies and describes the key challenges facing the growth and success of RECs markets.

  7. Major models and data sources for residential and commercial sector energy conservation analysis. Final report

    SciTech Connect (OSTI)

    Not Available

    1980-09-01

    Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.

  8. RECS Propane Usage Form_v1 (Draft).xps

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

    Type of Fuel Sold was: PPropane BButane OOther Enter the Price per Unit of Measure XXX.XX X.XX (select one) P B O MMDDYY Page 1 of ...

  9. QY_RESID_OU_ADMIN_REC_INDEX.pdf

    Office of Legacy Management (LM)

  10. REC Silicon formerly ASiMI | Open Energy Information

    Open Energy Info (EERE)

    ,"searchmarkers":"","locations":"text":"","title":"","link":null,"lat":47.838435,"lon":-100.665669,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""...

  11. RECS Electricity Usage Form_v2 (25418 - Activated, Traditional...

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

    electricity usage for this service address between September 2008 and April 2010. Billing ... Electricity was: BBoth Sold and Delivered SSold Only DDelivered Only (select one) B S D ...

  12. EM_LA_NNMCAB_Rec_2016-03.pdf

    Office of Environmental Management (EM)

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of electricity sales by sector, as explained in the article text Total U.S. electricity sales projected to grow slowly as electricity intensity declines June 15, 2016 Industrial and electric power sectors drive projected growth in U.S. natural gas use May 26, 2016 Declining energy prices lower the cost of living May 3, 2016 All 70 related articles › Residential

  14. Microsoft Word - Final Draft NNMCAB Rec. 2013-02

    Office of Environmental Management (EM)

    Citizens' Advisory Board at its March 20 th meeting in Albuquerque. Please call Lee Bishop, DDFO or Menice Santistevan, Executive Director, if you have questions regarding this...

  15. Plumas-Sierra REC- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Plumas-Sierra Rural Electric Cooperative (PSREC) offers several financial incentives for residential customers to improve the efficiency of their homes by upgrading to energy saving appliances and...

  16. CHEM.PLANT.ADMIN.REC.100.101.01.PDF

    Office of Legacy Management (LM)

    ... These activities include the monitoring of surface water, groundwater, radon, gamma ... . . . . . . . . . . . . . 6 2.2.1 Surface Water . . . . . . . . . . . . . . . . . . . . . ...

  17. File:REC Generator Certification Application - Texas.pdf | Open...

    Open Energy Info (EERE)

    metadata was last modified 10:59, 12 April 2010 Software used Acrobat PDFMaker 9.0 for Word Short title Procedure for Generators to Qualify for Renewable Energy Credits Conversion...

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

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

    Industrial and electric power sectors drive projected growth in U.S. natural gas use May 26, 2016 Declining energy prices lower the cost of living May 3, 2016 All 70 related ...

  19. IRA_ADMIN_REC_Contamin_Water_Treat1.pdf

    Office of Legacy Management (LM)

  20. IRA_ADMIN_REC_EPA_Comments_IRA6.pdf

    Office of Legacy Management (LM)

  1. Progress in Developing Finite Element Models Replicating Flexural Graphite Testing

    SciTech Connect (OSTI)

    Robert Bratton

    2010-06-01

    This report documents the status of flexural strength evaluations from current ASTM procedures and of developing finite element models predicting the probability of failure. This work is covered under QLD REC-00030. Flexural testing procedures of the American Society for Testing and Materials (ASTM) assume a linear elastic material that has the same moduli for tension and compression. Contrary to this assumption, graphite is known to have different moduli for tension and compression. A finite element model was developed and demonstrated that accounts for the difference in moduli tension and compression. Brittle materials such as graphite exhibit significant scatter in tensile strength, so probabilistic design approaches must be used when designing components fabricated from brittle materials. ASTM procedures predicting probability of failure in ceramics were compared to methods from the current version of the ASME graphite core components rules predicting probability of failure. Using the ASTM procedures yields failure curves at lower applied forces than the ASME rules. A journal paper was published in the Journal of Nuclear Engineering and Design exploring the statistical models of fracture in graphite.

  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. 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

  4. 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 ...

  5. 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/

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

    SciTech Connect (OSTI)

    Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

    2012-06-01

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  7. 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.

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

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

    9,"Monthly","6/2016","1/15/1973" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","ng_cons_sum_dcu_nus_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/ng/ng_cons_sum_dcu_nus_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202)

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

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

    Utilities Co","Investor-owned",2068166,811250,1081889,175027,0 3,"Mountrail-Williams Elec Coop","Cooperative",2025153,263270,182264,1579619,0 4,"Otter Tail Power ...

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

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

    Arizona" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Arizona Public Service Co","Investor-owned",27584533,12837752,12477518,2269263,0 2,"Salt River Project","Public",27548529,12293633,11099759,4155137,0 3,"Tucson Electric Power

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

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

    California" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Southern California Edison Co","Investor-owned",75828585,29972416,37903351,7874457,78361 2,"Pacific Gas & Electric Co","Investor-owned",75114523,29289082,28107971,17717470,0 3,"Los Angeles Department of Water &

  12. 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

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

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

    Connecticut" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Connecticut Light & Power Co","Investor-owned",8945482,6146224,2365991,367962,65305 2,"Constellation NewEnergy, Inc","Investor-owned",2018823,0,1320397,692814,5612 3,"United Illuminating

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

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

    Delaware" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Delmarva Power","Investor-owned",3604764,2673209,902845,28710,0 2,"Delaware Electric Cooperative","Cooperative",1301698,1060347,241351,0,0 3,"Direct Energy Business","Investor-owned",709072,0,709072,0,0 4,"City of Dover -

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

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

    District of Columbia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Constellation NewEnergy, Inc","Investor-owned",3556542,40286,3515507,749,0 2,"Potomac Electric Power Co","Investor-owned",3015764,1733437,1282327,0,0 3,"WGL Energy Services,

  16. 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

  17. 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

  18. 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

  19. 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 -

  20. 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

  1. 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

  2. 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

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

    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",1984446,859679,1082377,42390,0 2,"New Brunswick Power Generation Corp.","Investor-owned",2101006,1963787,58020,79199,0 3,"Electricity Maine,

  4. 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

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

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

    Massachusetts" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Massachusetts Electric Co","Investor-owned",10602381,7180002,3013034,409068,277 2,"NSTAR Electric Company","Investor-owned",8805023,5064032,3531796,209195,0 3,"Direct Energy

  6. 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,

  7. 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

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

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

    Missouri" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Union Electric Co - (MO)","Investor-owned",37022540,13649267,14751404,8600114,21755 2,"Kansas City Power & Light Co","Investor-owned",8554331,2571510,4454312,1528509,0 3,"KCP&L Greater Missouri Operations

  9. 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

  10. 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,

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

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

    Jersey" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Elec & Gas Co","Investor-owned",19571938,11374261,7430854,766823,0 2,"Jersey Central Power & Lt Co","Investor-owned",9957517,7264641,2445207,247669,0 3,"Direct Energy

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

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

    York" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Consolidated Edison Co-NY Inc","Investor-owned",19756921,9869409,9783465,102499,1548 2,"New York Power Authority","Public",18956177,0,8062381,8156837,2736959 3,"Long Island Power

  13. 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

  14. 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

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

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

    Rhode Island" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"The Narragansett Electric Co","Investor-owned",5006934,2852069,1901360,253505,0 2,"Direct Energy Business","Investor-owned",589515,0,589515,0,0 3,"Constellation NewEnergy, Inc","Investor-owned",469721,0,296950,149198,23573

  16. 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

  17. 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 -

  18. 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

  19. 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

  20. 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

  1. 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

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

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

    4,"Duke Energy Progress - (NC)","Investor-owned",6559067,2292609,1804594,2461864,0 5,"Berkeley Electric Coop Inc","Cooperative",2095651,1269704,244465,581482,0 " ","Total ...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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",...

  9. 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...

  10. 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...

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

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

    may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manu- facturing" "All ...5378,4653,4631,1926,"Q" "District Chilled Water ......",2853,2734,2853,2655,1274,"Q" ...

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

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

    than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manufact-uring",,"Space Heating","Cooling","Water Heating","Cooking","Manufact-uring" "All Buildings ...

  13. Refining and end use study of coal liquids. Quarterly report, July - September 1996

    SciTech Connect (OSTI)

    1996-12-31

    Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M. W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the U.S. Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. This 47-month study, with an approved budget of $4.4 million dollars, is being performed under DOE Contract Number DE-AC22-93PC91029. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed. The major efforts conducted during the third quarter of 1996 were in the areas of hydrotreating production runs and FCC production run. 3 figs., 8 tabs.

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

    SciTech Connect (OSTI)

    1996-09-01

    Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M. W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the US Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed. The major efforts conducted during the first quarter of 1996 were in the areas of: DL2 light distillate hydrotreating; and DL2 heave distillate catalytic cracking.

  15. 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.

  16. 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.

  17. 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)

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

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

    ..."Investor-owned",8097075,2268295,2959866,2868914,0 3,"Shell Energy North America (US), L.P.","Investor-owned",1278471,0,0,1278471,0 4,"Colorado River Comm of Nevada","Public",10359...

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

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

    ...301984" ,"Data 11","Military",4,"Annual",2014,"6301984" ,"Data ... "Back to Contents","Data 11: Military" "Sourcekey","KD0VMINUS1","K2DVMINUS1","...

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

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

    Utility Consumers (Thousand Gallons)","U.S. Residual Fuel Oil Adj SalesDeliveries Transportation Total (Thousand Gallons)","U.S. Residual Fuel Oil Adj SalesDeliveries to Military ...

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

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

    Consumers (Thousand Gallons)","U.S. Total Distillate Adj SalesDeliveries to Military Consumers (Thousand Gallons)","U.S. No 2 Diesel Adj SalesDeliveries to Off-Highway ...

  2. 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

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

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

    3 APPENDIX B FINAL EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced 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

  4. 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

  5. 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

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

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

    Updated Buildings Sector Appliance and Equipment Costs and Efficiencies April 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Updated Buildings Sector Appliance and Equipment Costs and Efficiencies i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are

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

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

    4,"Wheeling Power Co","Investor-owned",3269892,425005,447849,2397038,0 5,"Black Diamond Power Co","Investor-owned",56232,39152,17080,0,0 " ","Total sales, top five ...

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

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

    Wheeler Elec Member Corp","Cooperative",1662817,621444,300425,740948,0 5,"Baldwin County El Member Corp","Cooperative",1361550,911009,450541,0,0 " ","Total sales, top five ...

  9. 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 - ...

  10. 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...

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

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

    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 ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

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

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

    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 ...

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

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

    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 ...

  17. 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...

  18. 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...

  19. Data Transfer Software-SAS MetaData Server & Phoenix Integration Model Center

    Energy Science and Technology Software Center (OSTI)

    2010-04-15

    This software is a plug-in that interfaces between the Phoenix Integration's Model Center and the Base SAS 9.2 applications. The end use of the plug-in is to link input and output data that resides in SAS tables or MS SQL to and from "legacy" software programs without recoding. The potential end users are users who need to run legacy code and want data stored in a SQL database.

  20. Modeling & Analysis

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

    Facilities, Modeling, Modeling, Modeling & Analysis, Modeling & Analysis, Renewable Energy, Research & Capabilities, Wind Energy, Wind News Virtual LIDAR Model Helps Researchers ...

  1. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    SciTech Connect (OSTI)

    Sathaye, J.; Xu, T.; Galitsky, C.

    2010-08-15

    Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models.

  2. Taxonomy for Modeling Demand Response Resources

    SciTech Connect (OSTI)

    Olsen, Daniel; Kiliccote, Sila; Sohn, Michael; Dunn, Laura; Piette, Mary, A

    2014-08-01

    Demand response resources are an important component of modern grid management strategies. Accurate characterizations of DR resources are needed to develop systems of optimally managed grid operations and to plan future investments in generation, transmission, and distribution. The DOE Demand Response and Energy Storage Integration Study (DRESIS) project researched the degree to which demand response (DR) and energy storage can provide grid flexibility and stability in the Western Interconnection. In this work, DR resources were integrated with traditional generators in grid forecasting tools, specifically a production cost model of the Western Interconnection. As part of this study, LBNL developed a modeling framework for characterizing resource availability and response attributes of DR resources consistent with the governing architecture of the simulation modeling platform. In this report, we identify and describe the following response attributes required to accurately characterize DR resources: allowable response frequency, maximum response duration, minimum time needed to achieve load changes, necessary pre- or re-charging of integrated energy storage, costs of enablement, magnitude of controlled resources, and alignment of availability. We describe a framework for modeling these response attributes, and apply this framework to characterize 13 DR resources including residential, commercial, and industrial end-uses. We group these end-uses into three broad categories based on their response capabilities, and define a taxonomy for classifying DR resources within these categories. The three categories of resources exhibit different capabilities and differ in value to the grid. Results from the production cost model of the Western Interconnection illustrate that minor differences in resource attributes can have significant impact on grid utilization of DR resources. The implications of these findings will be explored in future DR valuation studies.

  3. H2A Biomethane Model Documentation and a Case Study for Biogas From Dairy Farms

    SciTech Connect (OSTI)

    Saur, G.; Jalalzadeh, A.

    2010-12-01

    The new H2A Biomethane model was developed to estimate the levelized cost of biomethane by using the framework of the vetted original H2A models for hydrogen production and delivery. For biomethane production, biogas from sources such as dairy farms and landfills is upgraded by a cleanup process. The model also estimates the cost to compress and transport the product gas via the pipeline to export it to the natural gas grid or any other potential end-use site. Inputs include feed biogas composition and cost, required biomethane quality, cleanup equipment capital and operations and maintenance costs, process electricity usage and costs, and pipeline delivery specifications.

  4. Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1995-02-17

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.

  5. Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1998-01-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  6. Enduse Global Emissions Mitigation Scenarios (EGEMS): A New Generation of Energy Efficiency Policy Planning Models

    SciTech Connect (OSTI)

    McNeil, Michael A.; de la Rue du Can, Stephane; McMahon, James E.

    2009-05-29

    This paper presents efforts to date and prospective goals towards development of a modelling and analysis framework which is comprehensive enough to address the global climate crisis, and detailed enough to provide policymakers with concrete targets and achievable outcomes. In terms of energy efficiency policy, this requires coverage of the entire world, with emphasis on countries and regions with large and/or rapidly growing energy-related emissions, and analysis at the 'technology' level-building end use, transport mode or industrial process. These elements have not been fully addressed by existing modelling efforts, which usually take either a top-down approach, or concentrate on a few fully industrialized countries where energy demand is well-understood. Inclusion of details such as appliance ownership rates, use patterns and efficiency levels throughout the world allows for a deeper understanding of the demand for energy today and, more importantly, over the coming decades. This is a necessary next step for energy analysts and policy makers in assessment of mitigation potentials. The modelling system developed at LBNL over the past 3 years takes advantage of experience in end use demand and in forecasting markets for energy-consuming equipment, in combination with known technology-based efficiency opportunities and policy types. A particular emphasis has been placed on modelling energy growth in developing countries. Experiences to date include analyses covering individual countries (China and India), end uses (refrigerators and air conditioners) and policy types (standards and labelling). Each of these studies required a particular effort in data collection and model refinement--they share, however, a consistent approach and framework which allows comparison, and forms the foundation of a comprehensive analysis system leading to a roadmap to address the greenhouse gas mitigation targetslikely to be set in the coming years.

  7. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14

    Proper modeling of end use loads is very important in order to predict their behavior, and how they interact with the power system, including voltage and temperature dependencies, power system and load control functions, and the complex interactions that occur between devices in such an interconnected system. This paper develops multi-state time variant residential appliance models with demand response enabled capabilities in the GridLAB-DTM simulation environment. These models represent not only the baseline instantaneous power demand and energy consumption, but the control systems developed by GE Appliances to enable response to demand response signals and the change in behavior of the appliance in response to the signal. These DR enabled appliances are simulated to estimate their capability to reduce peak demand and energy consumption.

  8. Systems Modeling

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

    ... International Strategy for Water and Land Resources in Iraq Model US-Canada Algae Biofuel ... Generation Cost Simulation Model Iraq Water-Energy-Food Model The USMexico ...

  9. Buildings Sector Working Group

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

    Group Forrestal 2E-069 July 22, 2013 2 * Residential projects - RECS update - Lighting model - Equipment, shell subsidies - ENERGY STAR benchmarking - Housing stock formation ...

  10. Development and Validation of Aggregated Models for Thermostatic Controlled Loads with Demand Response

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Elizondo, Marcelo A.; Fuller, Jason C.; Lu, Shuai; Chassin, David P.

    2012-01-04

    Demand response is playing an increasingly important role in smart grid research and technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by various load control strategies is important to understanding the degree to which different classes of end-use load can contribute to demand response programs at various times. This paper focuses on developing aggregated control models for a population of thermostatically controlled loads. The effects of demand response on the load population dynamics are investigated.

  11. 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.

  12. 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.

  13. Modeling & Analysis

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

    News & Events, Renewable Energy, Research & Capabilities, Systems Analysis, Water Power Wave-Energy-Device Modeling: Developing A 1:17 Scaled Model Many theoretical studies show ...

  14. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) U. S. Census Regions and Divisions: census map About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows Tool

  15. Householder's Perceptions of Insulation Adequacy and Drafts in the Home in 2001

    Reports and Publications (EIA)

    2004-01-01

    In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality.

  16. Lifecycle Model

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-05-21

    This chapter describes the lifecycle model used for the Departmental software engineering methodology.

  17. Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook

    SciTech Connect (OSTI)

    Zheng, Nina; Zhou, Nan; Fridley, David

    2010-09-01

    The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specific section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings potential

  18. Modeling & Analysis

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

    National Solar Thermal Test Facility Nuclear ... Climate & Earth Systems Climate Measurement & Modeling ... Tribal Energy Program Intellectual Property Current EC ...

  19. Models & Tools

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Arctic Climate Measurements Global Climate Models Software Sustainable Subsurface ...

  20. Phenomenological Modeling

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Arctic Climate Measurements Global Climate Models Software Sustainable Subsurface ...