National Library of Energy BETA

Sample records for detailed energy end-use

  1. 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:...

  2. End-Use Sector Flowchart | Department of Energy

    Office of Environmental Management (EM)

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

  3. 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.

  4. 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.

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

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

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

  6. 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.

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

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

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

  8. 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....

  9. 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...

  10. United States Industrial Sector Energy End Use Analysis

    SciTech Connect (OSTI)

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

    2012-05-11

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

  11. 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.

  12. Distribution Infrastructure and End Use | Department of Energy

    Office of Environmental Management (EM)

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

  13. 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.

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

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

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

  15. 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 ...

  16. End Use and Fuel Certification | Department of Energy

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

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

  17. 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...

  18. 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...

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

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

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

  20. 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...

  1. 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...

  2. 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....

  3. 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

  4. 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...

  5. 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...

  6. 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...

  7. 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,...

  8. 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,...

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

    Office of Environmental Management (EM)

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

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

    SciTech Connect (OSTI)

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

    2007-11-27

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

  18. 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.

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

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

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

  20. 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.

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    SciTech Connect (OSTI)

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

    2006-06-01

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

  4. Buildings and Energy in the 80's -- Detailed Tables

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

    Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980...

  5. CBECS - Buildings and Energy in the 1980's - Detailed Tables

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

    Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980...

  6. 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)

  7. 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.

  8. 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.

  9. 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

  10. Detailed Course Module Description | Department of Energy

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

    Detailed Course Module Description Detailed Course Module Description This document lists the course modules for building science courses offered at Cornell's Collaborator...

  11. Blundell 2 Power Plant Details | Open Energy Information

    Open Energy Info (EERE)

    Power Plant Details Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Blundell 2 Power Plant Details Author Geothermal Energy Association Published...

  12. Trends in Commercial Buildings--Total Primary Energy Detail

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

    Energy Consumption and Graph Total Primary Energy Consumption Graph Detail and Data Table 1979 to 1992 primary consumption trend with 95% confidence ranges 1979 to 1992 primary...

  13. Trends in Commercial Buildings--Total Site Energy Detail

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

    Energy Consumption and Graph Total Site Energy Consumption Graph Detail and Data Table 1979 to 1992 site consumption trend with 95% confidence ranges 1979 to 1992 site...

  14. 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.

  15. 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.

  16. 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.

  17. Department of Energy Releases Details of Tribal Summit | Department of

    Office of Environmental Management (EM)

    Energy Details of Tribal Summit Department of Energy Releases Details of Tribal Summit April 26, 2011 - 12:00am Addthis WASHINGTON, D.C. - U.S. Department of Energy today released details of the upcoming Tribal Summit with American Indian and Alaska Native Leaders that will be held on May 4-5, 2011, at the Crystal City Gateway Marriott in Arlington, Va. The summit will build on Secretary Chu's continued commitment to partnering with Native Americans to support the development of clean energy

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

    SciTech Connect (OSTI)

    Ternes, M.P.

    1991-01-01

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

  19. 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

  20. Part 5: For Detailed Information | Department of Energy

    Office of Environmental Management (EM)

    5: For Detailed Information Part 5: For Detailed Information 42 U.S.C. §9601 et. seq., The Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) of 1980, as amended by the Superfund Amendments and Reauthorization Act of 1986 (SARA) 40 CFR Part 300, National Oil and Hazardous Substance Pollution Contingency Plan (NCP) (March 1990) Executive Order 12580: Superfund Implementation DOE Order 5400.4: CERCLA Requirements Policy on Decommissioning of Department of Energy

  1. Race to Zero Competition Details and Requirements | Department of Energy

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

    Residential Buildings » Zero Energy Ready Home » Student Competition » Race to Zero Competition Details and Requirements Race to Zero Competition Details and Requirements The Race to Zero is an annual competition, open to students and faculty from any interested collegiate institution. The competition is based on a real-world scenario where a builder needs to update an existing product line (house plan) to a high-performance house design or is developing a new high-performance home product

  2. Biomass Resource Allocation among Competing End Uses

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

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

  3. Enabling Detailed Energy Analyses via the Technology Performance Exchange: Preprint

    SciTech Connect (OSTI)

    Studer, D.; Fleming, K.; Lee, E.; Livingood, W.

    2014-08-01

    One of the key tenets to increasing adoption of energy efficiency solutions in the built environment is improving confidence in energy performance. Current industry practices make extensive use of predictive modeling, often via the use of sophisticated hourly or sub-hourly energy simulation programs, to account for site-specific parameters (e.g., climate zone, hours of operation, and space type) and arrive at a performance estimate. While such methods are highly precise, they invariably provide less than ideal accuracy due to a lack of high-quality, foundational energy performance input data. The Technology Performance Exchange was constructed to allow the transparent sharing of foundational, product-specific energy performance data, and leverages significant, external engineering efforts and a modular architecture to efficiently identify and codify the minimum information necessary to accurately predict product energy performance. This strongly-typed database resource represents a novel solution to a difficult and established problem. One of the most exciting benefits is the way in which the Technology Performance Exchange's application programming interface has been leveraged to integrate contributed foundational data into the Building Component Library. Via a series of scripts, data is automatically translated and parsed into the Building Component Library in a format that is immediately usable to the energy modeling community. This paper (1) presents a high-level overview of the project drivers and the structure of the Technology Performance Exchange; (2) offers a detailed examination of how technologies are incorporated and translated into powerful energy modeling code snippets; and (3) examines several benefits of this robust workflow.

  4. Save Energy Now Assessments Results 2008 Detailed Report

    SciTech Connect (OSTI)

    Wright, Anthony L; Martin, Michaela A; Nimbalkar, Sachin U; Quinn, James; Glatt, Ms. Sandy; Orthwein, Mr. Bill

    2010-09-01

    In October 2005, U.S. Department of Energy Secretary Bodman launched his Easy Ways to Save Energy campaign with a promise to provide energy assessments to 200 of the largest U.S. manufacturing plants. DOE's Industrial Technologies Program (ITP) responded to the Secretary's campaign with its Save Energy Now initiative, featuring a new and highly cost-effective form of energy savings assessment. The approach for these assessments drew heavily on the existing resources of ITP's technology delivery component. Over the years, ITP Technology Delivery has worked with industry partners to assemble a suite of respected software tools, proven assessment protocols, training curricula, certified energy experts, and strong partnerships for deployment. The Save Energy Now assessments conducted in calendar year 2006 focused on natural gas savings and targeted many of the nation's largest manufacturing plants - those that consume at least 1 TBtu of energy annually. The 2006 Save Energy Now assessments focused primarily on assessments of steam and process heating systems, which account for an estimated 74% of all natural gas use by U.S. manufacturing plants. Because of the success of the Save Energy Now assessments conducted in 2006 and 2007, the program was expanded and enhanced in two major ways in 2008: (1) a new goal was set to perform at least 260 assessments; and (2) the assessment focus was expanded to include pumping, compressed air, and fan systems in addition to steam and process heating. DOE ITP also has developed software tools to assess energy efficiency improvement opportunities in pumping, compressed air, and fan systems. The Save Energy Now assessments integrate a strong training component designed to teach industrial plant personnel how to use DOE's opportunity assessment software tools. This approach has the advantages of promoting strong buy-in of plant personnel for the assessment and its outcomes and preparing them better to independently replicate the assessment process at the company's other facilities. Another important element of the Save Energy Now assessment process is the follow-up process used to identify how many of the recommended savings opportunities from individual assessments have been implemented in the industrial plants. Plant personnel involved with the Save Energy Now assessments are contacted 6 months, 12 months, and 24 months after individual assessments are completed to determine implementation results. A total of 260 Save Energy Now assessments were successfully completed in calendar year 2008. This means that a total of 718 assessments were completed in 2006, 2007, and 2008. As of July 2009, we have received a total of 239 summary reports from the ESAs that were conducted in year 2008. Hence, at the time that this report was prepared, 680 final assessment reports were completed (200 from year 2006, 241 from year 2007, and 239 from year 2008). The total identified potential cost savings from these 680 assessments is $1.1 billion per year, including natural gas savings of about 98 TBtu per year. These results, if fully implemented, could reduce CO{sub 2} emissions by about 8.9 million metric tons annually. When this report was prepared, data on implementation of recommended energy and cost savings measures from 488 Save Energy Now assessments were available. For these 488 plants, measures saving a total of $147 million per year have been implemented, measures that will save $169 million per year are in the process of being implemented, and plants are planning implementation of measures that will save another $239 million per year. The implemented recommendations are already achieving total CO{sub 2} reductions of about 1.8 million metric tons per year. This report provides a summary of the key results for the Save Energy Now assessments completed in 2008; details of the 6-month, 12-month, and 24-month implementation results obtained to date; and an evaluation of these implementation results. This report also summarizes key accomplishments, findings, and lessons learned from all the Save Energy Now assessments completed to date. A separate report (Wright et al. 2010) provides more detailed information on key results for all of the 2008 assessments of steam, process heating, pumping, compressed air, and fan systems. Two prior reports (Wright et al. 2007 and Wright et al. 2009) detail the results from the 2006 and 2007 assessments and discuss the major components of the assessment process and improvements in the process made in 2007.

  5. Mammoth Pacific II Power Plant Details | Open Energy Information

    Open Energy Info (EERE)

    Power Plant Details Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Mammoth Pacific II Power Plant Details Abstract Additional information: The Mammoth...

  6. FY 2014 Funding History Detail Spreadsheet | Department of Energy

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

    Budget » FY 2014 Budget Justification » FY 2014 Funding History Detail Spreadsheet FY 2014 Funding History Detail Spreadsheet File FY 2014 Funding History Detail Spreadsheet (3.5 MB) More Documents & Publications Residential Clothes Washers (Appendix J2) FY 2014 Budget Request Statistical Table Report 20.4: Lumen and Chromaticity Maintenance of LED PAR38 Lamps

  7. 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.

  8. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  9. Sec. Chu Announces More 'SunShot' Details | Department of Energy

    Energy Savers [EERE]

    Sec. Chu Announces More 'SunShot' Details Sec. Chu Announces More 'SunShot' Details February 4, 2011 - 1:30pm Addthis Sec. Chu Announces More 'SunShot' Details. | Department of Energy Photo | Courtesy of National Renewable Energy Laboratory | Public Domain | Sec. Chu Announces More 'SunShot' Details. | Department of Energy Photo | Courtesy of National Renewable Energy Laboratory | Public Domain | Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs What

  10. 1999 Commercial Buildings Energy Consumption Survey Detailed Tables

    Gasoline and Diesel Fuel Update (EIA)

    Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by

  11. Renewable Energy Data Book Details Growing Industry in 2012 | Department of

    Energy Savers [EERE]

    Energy Renewable Energy Data Book Details Growing Industry in 2012 Renewable Energy Data Book Details Growing Industry in 2012 December 4, 2013 - 12:00am Addthis The National Renewable Energy Laboratory (NREL) on November 21 released the 2012 Renewable Energy Data Book on behalf of the Energy Department's Office of Energy Efficiency and Renewable Energy. The annual report is an important assessment of U.S. energy statistics for 2012, including renewable electricity, worldwide renewable

  12. Department of Energy Releases Details of Tribal Summit

    Broader source: Energy.gov [DOE]

    Event will gather American Indian and Alaska Native Leaders, Obama administration officials, senior Department of Energy officials and members of Congress

  13. Tribal Energy Program Detailed Agenda: 2014 Program Review

    Energy Savers [EERE]

    4 Program Review March 24-27, 2014 MONDAY, MARCH 24 th (1:00 p.m. - 6:30 p.m.) TIME DESCRIPTION PRESENTERS 12:00 p.m. Registration 1:00 p.m. Welcoming Remarks Christine Platt Patrick Tracey LeBeau DOE Indian Energy Programs Moderator: Lizana Pierce (DOE, Golden Field Office) 1:30 p.m. DOE's Office of Indian Energy Policy and Programs Tracey LeBeau 2:10 p.m. Tribal Energy Program Overview Lizana Pierce 2:40 p.m. Tribal Energy Program Student Internship Program Chelsea Chee 2:50 p.m. Internship

  14. Tribal Energy Program Detailed Agenda 2015 Program Review

    Energy Savers [EERE]

    5 Program Review May 4-7, 2015 MONDAY, MAY 4 th (1:00 p.m. - 6:00 p.m.) TIME DESCRIPTION PRESENTERS 12:00 p.m. Registration 1:00 p.m. Invocation 1:10 p.m. Welcoming Remarks Senior Policy Advisor, EERE Weatherization and Christine Platt-Patrick Intergovernmental Program Office Acting Director, DOE Office of Indian Energy Policy and David Conrad Programs DOE Indian Energy Programs Moderator: Lizana Pierce (DOE, Golden Field Office) 1:40 p.m. EERE Tribal Energy Program Overview Lizana Pierce 2:20

  15. 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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  4. NREL Releases Renewable Energy Data Book Detailing Growing Industry in 2012

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

    - News Releases | NREL Releases Renewable Energy Data Book Detailing Growing Industry in 2012 November 21, 2013 The National Renewable Energy Laboratory (NREL) has released the 2012 Renewable Energy Data Book on behalf of the Energy Department's Office of Energy Efficiency and Renewable Energy. The annual report is an important assessment of U.S. energy statistics for 2012, including renewable electricity, worldwide renewable energy development, clean energy investments, and data on specific

  5. 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

  6. 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.

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

    Broader source: Energy.gov [DOE]

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

  8. 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...

  9. NREL Releases the 2013 Renewable Energy Data Book, Detailing Increases in

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

    Installed Capacity - News Releases | NREL Releases the 2013 Renewable Energy Data Book, Detailing Increases in Installed Capacity January 20, 2015 The newly released 2013 Renewable Energy Data Book illustrates United States and global energy statistics, including renewable electricity generation, renewable energy development, clean energy investments, and technology-specific data and trends. The Data Book is produced and published annually by the National Renewable Energy Laboratory (NREL)

  10. BUDGET DETAILS BOOK FOUR DPRMN OF N RGY U.S. Department of Energy

    Energy Savers [EERE]

    BUDGET DETAILS BOOK FOUR DPRMN OF N RGY U.S. Department of Energy Transition Team Budget Book Office of the Chief Financial Officer Office of Budget 1. Budget Overview 2. Funding Tables and Charts 3. Appropriations Subcommittees 4. Program Overviews 5. Major Construction Projects, Activities, and Initiatives 6. Laboratory and State Data Acronyms commonly used in budget documents. ACI American Competitiveness Initiative AEI Advanced Energy Initiative AFP Approved Funding Program (monthly

  11. 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.

  12. 1999 CBECS Detailed Tables

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

    Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999...

  13. Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

    SciTech Connect (OSTI)

    Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

    2015-01-01

    This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, and end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to perform detailed hourly impact studies of building adaptation and mitigation strategies on energy use and electricity peak demand within the context of the entire grid and economy.

  14. China's Building Energy Use: A Long-Term Perspective based on a Detailed Assessment

    SciTech Connect (OSTI)

    Eom, Jiyong; Clarke, Leon E.; Kim, Son H.; Kyle, G. Page; Patel, Pralit L.

    2012-01-13

    We present here a detailed, service-based model of China's building energy use, nested in the GCAM (Global Change Assessment Model) integrated assessment framework. Using the model, we explore long-term pathways of China's building energy use and identify opportunities of reducing greenhouse gas emissions. The inclusion of a structural model of building energy demands within an integrated assessment framework represents a major methodological advance. It allows for a structural understanding of the drivers of building energy consumption while simultaneously considering the other human and natural system interactions that influence changes in the global energy system and climate. We also explore a range of different scenarios to gain insights into how China's building sector might evolve and what the implications might be for improved building energy technology and carbon policies. The analysis suggests that China's building energy growth will not wane anytime soon, although technology improvement will put downward pressure on this growth. Also, regardless of the scenarios represented, the growth will involve the continued, rapid electrification of the buildings sector throughout the century, and this transition will be accelerated by the implementation of carbon policy.

  15. 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...

  16. 1995 Detailed Tables

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

    Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption...

  17. 2008_Transition_Program_Details_Book_Three.pdf | Department of Energy

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

    08_Transition_Program_Details_Book_Three.pdf 2008_Transition_Program_Details_Book_Three.pdf PDF icon 2008_Transition_Program_Details_Book_Three.pdf More Documents & Publications DOE Transition Documents - 2008 Presentation: DOE Nuclear Nonproliferation Report of the Task Force on Nuclear Nonproliferation

  18. Detailed analysis of the energy yield of systems with covered sheet-and-tube PVT collectors

    SciTech Connect (OSTI)

    Santbergen, R.; Rindt, C.C.M.; van Zolingen, R.J.Ch.; Zondag, H.A.

    2010-05-15

    Solar cells have a typical efficiency in the range of 5-20%, implying that 80% or more of the incident solar energy can be harvested in the form of heat and applied for low-temperature heating. In a PVT collector one tries to collect this heat. In this work, the electrical and thermal yield of solar domestic hot water systems with one-cover sheet-and-tube PVT collectors were considered. Objectives of the work were to understand the mechanisms determining these yields, to investigate measures to improve these yields and to investigate the yield consequences if various solar cell technologies are being used. The work was carried out using numerical simulations. A detailed quantitative understanding of all loss mechanisms was obtained, especially of those being inherent to the use of PVT collectors instead of PV modules and conventional thermal collectors. The annual electrical efficiencies of the PVT systems investigated were up to 14% (relative) lower compared to pure PV systems and the annual thermal efficiencies up to 19% (relative) lower compared to pure thermal collector systems. The loss of electrical efficiency is mainly caused by the relatively high fluid temperature. The loss of thermal efficiency is caused both by the high emissivity of the absorber and the withdrawal of electrical energy. However, both the loss of electrical and thermal efficiency can be reduced further by the application of anti-reflective coatings. The thermal efficiency can be improved by the application of a low-emissivity coating on the absorber, however at the cost of a reduced electrical efficiency. (author)

  19. 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,...

  20. End-Use Sector Flowcharts, Energy Intensity Indicators

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

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

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. http://www1.eere.energy.gov/financing/solicitations_detail.html

    National Nuclear Security Administration (NNSA)

    EERE Information Center Programs and Offices Search Help More Search Options Printable Version Back to Listing NOI - Demonstration Project for Concentrating Solar Technologies Open Date: 12/16/2010 Close Date: 03/30/2011 Funding Organization: Office of Energy Efficiency and Renewable Energy Funding Number: DE-FOA-0000233 Summary: The Department of Energy (DOE) intends to issue a Funding Opportunity Announcement (FOA) to facilitate the demonstration of utility-scale, Concentrating Solar

  6. Scenarios of Building Energy Demand for China with a Detailed Regional Representation

    SciTech Connect (OSTI)

    Yu, Sha; Eom, Jiyong; Zhou, Yuyu; Evans, Meredydd; Clarke, Leon E.

    2014-02-07

    Building energy consumption currently accounts for 28% of Chinas total energy use and is expected to continue to grow induced by floorspace expansion, income growth, and population change. Fuel sources and building services are also evolving over time as well as across regions and building types. To understand sectoral and regional difference in building energy use and how socioeconomic, physical, and technological development influence the evolution of the Chinese building sector, this study developed a building energy use model for China downscaled into four climate regions under an integrated assessment framework. Three building types (rural residential, urban residential, and commercial) were modeled specifically in each climate region. Our study finds that the Cold and Hot Summer Cold Winter regions lead in total building energy use. The impact of climate change on heating energy use is more significant than that of cooling energy use in most climate regions. Both rural and urban households will experience fuel switch from fossil fuel to cleaner fuels. Commercial buildings will experience rapid growth in electrification and energy intensity. Improved understanding of Chinese buildings with climate change highlighted in this study will help policy makers develop targeted policies and prioritize building energy efficiency measures.

  7. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) Estimation of Energy End-use Consumption CBECS 2012 - Release date: March 18, 2016 2012 CBECS The energy end-use consumption tables for the 2012 CBECS provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, computing (including servers), office equipment, and other uses. Although details vary by energy source, there are

  8. 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.

  9. 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.

  10. Detailed Photovoltaic Analysis Simulation Spreadsheet

    Energy Science and Technology Software Center (OSTI)

    2008-12-31

    The software calculates photovoltaic system energy and financial performance via the utilization of very detailed parameters.

  11. 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.

  12. Driving Biofuels End Use: BETO/VTO Collaborations

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

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

  13. 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.

  14. 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...

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

    SciTech Connect (OSTI)

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

    2012-12-01

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

  16. Detailed Course Module Description

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

    Course Module Description Module/Learning Objectives Level of Detail in Module by Audience Consumers Gen Ed/ Community College Trades 1. Energy Issues and Building Solutions High High High Learning Objectives: * Define terms of building science, ecological systems, economics of consumption * Relate building science perspective, ecology, social science * Explain historical energy and environmental issues related to buildings * Compare Site and source energy * Examine the health, safety and

  17. Energy Intensity Indicators: Coverage

    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, as well as the electric power sector. These sectors are shown in Figure 1. More detail for some of these sectors can be obtained by accessing the file "End-Use Sector Flowchart" below Figure 1.

  18. 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.

  19. Fort Drum integrated resource assessment. Volume 2, Baseline detail

    SciTech Connect (OSTI)

    Dixon, D.R.; Armstrong, P.R.; Brodrick, J.R.; Daellenbach, K.K.; Di Massa, F.V.; Keller, J.M.; Richman, E.E.; Sullivan, G.P.; Wahlstrom, R.R.

    1992-12-01

    The US Army Forces Command (FORSCOM) has tasked the Pacific Northwest Laboratory (PNL) as the lead laboratory supporting the US Department of Energy (DOE) Federal Energy Management Program`s mission to identify, evaluate, and assist in acquiring all cost-effective energy projects at Fort Drum. This is a model program PNL is designing for federal customers served by the Niagara Mohawk Power Company. It will identify and evaluate all electric and fossil fuel cost-effective energy projects; develop a schedule at each installation for project acquisition considering project type, size, timing, and capital requirements, as well as energy and dollar savings; and secure 100% of the financing required to implement electric energy efficiency projects from Niagara Mohawk and have Niagara Mohawk procure the necessary contractors to perform detailed audits and install the technologies. This report documents the assessment of baseline energy use at one of Niagara Mohawk`s primary federal facilities, the FORSCOM Fort Drum facility located near Watertown, New York. It is a companion report to Volume 1, the Executive Summary, and Volume 3, the Resource Assessment. This analysis examines the characteristics of electric, gas, oil, propane, coal, and purchased thermal capacity use for fiscal year (FY) 1990. It records energy-use intensities for the facilities at Fort Drum by building type and energy end use. It also breaks down building energy consumption by fuel type, energy end use, and building type. A complete energy consumption reconciliation is presented that includes the accounting of all energy use among buildings, utilities, central systems, and applicable losses.

  20. 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.

  1. Wide-field lensing mass maps from Dark Energy Survey science verification data: Methodology and detailed analysis

    SciTech Connect (OSTI)

    Vikram, V.

    2015-07-29

    Weak gravitational lensing allows one to reconstruct the spatial distribution of the projected mass density across the sky. These mass maps provide a powerful tool for studying cosmology as they probe both luminous and dark matter. In this paper, we present a weak lensing mass map reconstructed from shear measurements in a 139 deg2 area from the Dark Energy Survey (DES) science verification data. We compare the distribution of mass with that of the foreground distribution of galaxies and clusters. The overdensities in the reconstructed map correlate well with the distribution of optically detected clusters. We demonstrate that candidate superclusters and voids along the line of sight can be identified, exploiting the tight scatter of the cluster photometric redshifts. We cross-correlate the mass map with a foreground magnitude-limited galaxy sample from the same data. Our measurement gives results consistent with mock catalogs from N-body simulations that include the primary sources of statistical uncertainties in the galaxy, lensing, and photo-z catalogs. The statistical significance of the cross-correlation is at the 6.8? level with 20 arcminute smoothing. We find that the contribution of systematics to the lensing mass maps is generally within measurement uncertainties. In this study, we analyze less than 3% of the final area that will be mapped by the DES; the tools and analysis techniques developed in this paper can be applied to forthcoming larger data sets from the survey.

  2. Wide-field lensing mass maps from Dark Energy Survey science verification data: Methodology and detailed analysis

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

    Vikram, V.; Sheldon, E.; Chang, C.; Jain, B.; Bacon, D.; Amara, A.; Becker, M. R.; Bernstein, G.; Bonnett, C.; Bridle, S.; et al

    2015-07-29

    Weak gravitational lensing allows one to reconstruct the spatial distribution of the projected mass density across the sky. These mass maps provide a powerful tool for studying cosmology as they probe both luminous and dark matter. In this paper, we present a weak lensing mass map reconstructed from shear measurements in a 139 deg2 area from the Dark Energy Survey science verification data. We compare the distribution of mass with that of the foreground distribution of galaxies and clusters. The overdensities in the reconstructed map correlate well with the distribution of optically detected clusters. We demonstrate that candidate superclusters andmorevoids along the line of sight can be identified, exploiting the tight scatter of the cluster photometric redshifts. We cross-correlate the mass map with a foreground magnitude-limited galaxy sample from the same data. Our measurement gives results consistent with mock catalogs from N-body simulations that include the primary sources of statistical uncertainties in the galaxy, lensing, and photo-z catalogs. The statistical significance of the cross-correlation is at the 6.8? level with 20 arcminute smoothing. We find that the contribution of systematics to the lensing mass maps is generally within measurement uncertainties. We analyze less than 3% of the final area that will be mapped by the DES; the tools and analysis techniques developed in this paper can be applied to forthcoming larger data sets from the survey.less

  3. Wide-field lensing mass maps from Dark Energy Survey science verification data: Methodology and detailed analysis

    SciTech Connect (OSTI)

    Vikram, V.; Sheldon, E.; Chang, C.; Jain, B.; Bacon, D.; Amara, A.; Becker, M. R.; Bernstein, G.; Bonnett, C.; Bridle, S.; Brout, D.; Busha, M.; Frieman, J.; Gaztanaga, E.; Hartley, W.; Jarvis, M.; Kacprzak, T.; Kovacs, A.; Lahav, O.; Leistedt, B.; Lin, H.; Melchior, P.; Peiris, H.; Rozo, E.; Rykoff, E.; Sanchez, C.; Sheldon, E.; Troxel, M. A.; Wechsler, R.; Zuntz, J.; Abbott, T.; Abdalla, F. B.; Armstrong, R.; Banerji, M.; Bauer, A. H.; Benoit-Levy, A.; Bertin, E.; Brooks, D.; Buckley-Geer, E.; Burke, D. L.; Capozzi, D.; Carnero Rosell, A.; Kind, M. Carrasco; Castander, F. J.; Crocce, M.; Cunha, C. E.

    2015-07-29

    Weak gravitational lensing allows one to reconstruct the spatial distribution of the projected mass density across the sky. These mass maps provide a powerful tool for studying cosmology as they probe both luminous and dark matter. In this paper, we present a weak lensing mass map reconstructed from shear measurements in a 139 deg2 area from the Dark Energy Survey science verification data. We compare the distribution of mass with that of the foreground distribution of galaxies and clusters. The overdensities in the reconstructed map correlate well with the distribution of optically detected clusters. We demonstrate that candidate superclusters and voids along the line of sight can be identified, exploiting the tight scatter of the cluster photometric redshifts. We cross-correlate the mass map with a foreground magnitude-limited galaxy sample from the same data. Our measurement gives results consistent with mock catalogs from N-body simulations that include the primary sources of statistical uncertainties in the galaxy, lensing, and photo-z catalogs. The statistical significance of the cross-correlation is at the 6.8? level with 20 arcminute smoothing. We find that the contribution of systematics to the lensing mass maps is generally within measurement uncertainties. We analyze less than 3% of the final area that will be mapped by the DES; the tools and analysis techniques developed in this paper can be applied to forthcoming larger data sets from the survey.

  4. Wide-field lensing mass maps from Dark Energy Survey science verification data: Methodology and detailed analysis

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

    Vikram, V.

    2015-07-29

    Weak gravitational lensing allows one to reconstruct the spatial distribution of the projected mass density across the sky. These “mass maps” provide a powerful tool for studying cosmology as they probe both luminous and dark matter. In this paper, we present a weak lensing mass map reconstructed from shear measurements in a 139 deg2 area from the Dark Energy Survey (DES) science verification data. We compare the distribution of mass with that of the foreground distribution of galaxies and clusters. The overdensities in the reconstructed map correlate well with the distribution of optically detected clusters. We demonstrate that candidate superclustersmore » and voids along the line of sight can be identified, exploiting the tight scatter of the cluster photometric redshifts. We cross-correlate the mass map with a foreground magnitude-limited galaxy sample from the same data. Our measurement gives results consistent with mock catalogs from N-body simulations that include the primary sources of statistical uncertainties in the galaxy, lensing, and photo-z catalogs. The statistical significance of the cross-correlation is at the 6.8σ level with 20 arcminute smoothing. We find that the contribution of systematics to the lensing mass maps is generally within measurement uncertainties. In this study, we analyze less than 3% of the final area that will be mapped by the DES; the tools and analysis techniques developed in this paper can be applied to forthcoming larger data sets from the survey.« less

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

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

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

  6. ,"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"...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  19. Griffiss AFB integrated resource assessment. Volume 2, Electric baseline detail

    SciTech Connect (OSTI)

    Dixon, D.R.; Armstrong, P.R.; Keller, J.M.

    1993-02-01

    The US Air Force Air Combat Command has tasked the Pacific Northwest Laboratory (PNL) as the lead laboratory supporting the US Department of Energy (DOE) Federal Energy Management Program`s (FEMP) mission to identify, evaluate, and assist in acquiring all cost-effective energy projects at Griffiss Air Force Base (AFB). This is a model program PNL is designing for federal customers served by the Niagara Mohawk Power Company (Niagara Mohawk). It will (1) identify and evaluate all electric cost-effective energy projects; (2) develop a schedule at each installation for project acquisition considering project type, size, timing, and capital requirements, as well as energy and dollar savings; and (3) secure 100% of the financing required to implement electric energy efficiency projects from Niagara Mohawk and have Niagara Mohawk procure the necessary contractors to perform detailed audits and install the technologies. This report documents the assessment of baseline energy use at one of Niagara Mohawk`s primary federal facilities, Griffiss AFB, an Air Combat Command facility located near Rome, New York. It is a companion report to Volume 1, the Executive Summary, and Volume 3, the Electric Resource Assessment. The analysis examines the characteristics of electric, gas, oil, propane, coal, and purchased thermal capacity use for fiscal year (FY) 1990. The results include energy-use intensities for the facilities at Griffiss AFB by building type and electric energy end use. A complete electric energy consumption reconciliation is presented that accounts for the distribution of all major electric energy uses and losses among buildings, utilities, and central systems.

  20. "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" ...

  1. Trends in Renewable Energy Consumption and Electricity

    Reports and Publications (EIA)

    2012-01-01

    Presents a summary of the nations renewable energy consumption in 2010 along with detailed historical data on renewable energy consumption by energy source and end-use sector. Data presented also includes renewable energy consumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and state. The report covers the period from 2006 through 2010.

  2. ARM - RACORO Flight Details

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

    RACORO Flight Details Related Links RACORO Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Data Guide (PDF, 1.4MB) Campaign Journal Flight Details Images ARM flickr site Deployment Operations Measurements Science & Operations Plan (PDF, 640K) SGP Data Plots RACORO wiki Login Required Experiment Planning Steering Committee Science Questions RACORO Proposal Abstract Full Proposal (PDF, 886K) Collaborations Meetings CLOWD Working Group News Discovery Channel Earth Live Blog

  3. ARM - Detailed Experiment Description

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

    Detailed Experiment Description Related Links TWP-ICE Home Tropical Western Pacific Home ARM Data Discovery Browse Data Post-Experiment Data Sets Weather Summary (pdf, 6M) New York Workshop Presentations Experiment Planning TWP-ICE Proposal Abstract Detailed Experiment Description Science Plan (pdf, 1M) Operations Plan (pdf, 321K) Maps Contact Info Related Links Daily Report Report Archives Press Media Coverage TWP-ICE Fact Sheet (pdf, 211K) Press Releases TWP-ICE Images ARM flickr site

  4. Understanding Manufacturing Energy and Carbon Footprints, October 2012

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

    Understanding Manufacturing Energy and Carbon Footprints The Manufacturing Energy and Carbon Footprints map energy use and carbon emissions from energy supply to end use. Footprints are published for 15 manufacturing sectors (representing 94% of all manufacturing energy use) and for U.S. manufacturing as a whole. These sectors are described in more detail in the document Manufacturing Energy and Carbon Footprint Scope. Manufacturing Energy and Carbon Footprint Sectors: All Manufacturing

  5. details | netl.doe.gov

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

    details Title: Opening Date: Closing Date: Funding Opportunity Announcement: Contract Specialist: Details:

  6. PNNL: Publication Details

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

    Details Sorry, we cannot locate that Publication. Please try the Publications Database for other PNNL Publications. Powered By ERICA, PNNL's publication metadatabase Publications Search Publications Science as Art Calendar Magazines and Newsletters Pacific Northwest Technology Today DOE Pulse Additional Resources PNNL Technical Library PNNL Photo Library PNNL Brochure Library Related Links Hanford Technical Library

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

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

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

  8. Electric Power detailed State data

    Gasoline and Diesel Fuel Update (EIA)

    Detailed State Data Final annual data for 2014 Release Date: October 21, 2015 Next Release Date: October 15, 2016 January 13, 2016 Revision/Corrections Annual data format 1990 - 2014 Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923)1 XLS 1990 - 2014 Fossil Fuel Consumption for Electricity Generation by Year, Industry Type and State (EIA-906, EIA-920, and EIA-923)2 XLS 1990 - 2013 Existing Nameplate and Net Summer Capacity by Energy Source, Producer Type

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

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

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

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

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

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

  11. U.S. Energy Information Administration (EIA) - Data

    Gasoline and Diesel Fuel Update (EIA)

    Find statistics on energy consumption and efficiency across all fuel sources. + EXPAND ALL Residential Energy Consumption Survey data Household characteristics Release Date: March 28, 2011 Survey data for occupied primary housing units. Residential Energy Consumption Survey (RECS) Home energy use & costs Release Date: January, 2013 Energy consumption and expenditures by end uses by fuel. Residential Energy Consumption Survey (RECS) Detailed household microdata Release Date: February, 2013

  12. 2010 Manufacturing Energy and Carbon Footprints: Scope | Department of

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

    Energy Scope 2010 Manufacturing Energy and Carbon Footprints: Scope This five-page document provides detailed descriptions of the manufacturing sectors examined in the Energy and Carbon Footprints (MECS 2010) PDF icon Scope of the Manufacturing Energy and Carbon Footprints (MECS 2010) More Documents & Publications Manufacturing Energy and Carbon Footprints Scope End-Use Sector Flowchart U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis

  13. Document Details Document Number

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

    Document Details Document Number Date of Document Document Title/Description [Links below to each document] D195066340 Not listed. N/A REVISIONS IN STRATIGRAPHIC NOMENCLATURE OF COLUMBIA RIVER BASALT GROUP D196000240 Not listed. N/A EPA DENIAL OF LINER LEACHATE COLLECTION SYSTEM REQUIREMENTS D196005916 Not listed. N/A LATE CENOZOIC STRATIGRAPHY AND TECTONIC EVOLUTION WITHIN SUBSIDING BASIN SOUTH CENTRAL WASHINGTON D196025993 RHO-BWI-ST-14 N/A SUPRABASALT SEDIMENTS OF COLD CREEK SYNCLINE AREA

  14. Description of Detailed Tables

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

    for the 1999 Commercial Buildings Energy Consumption Survey (CBECS) consists of building characteristics tables B1 through B39, which contain the number of buildings and...

  15. Understanding the 2014 Manufacturing Energy and Carbon Footprints

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

    Understanding the 2010 Manufacturing Energy and Carbon Footprints The Manufacturing Energy and Carbon Footprints map energy use and combustion greenhouse gas (GHG) emissions from energy supply to end use. Footprints are published for 15 manufacturing sectors (representing 95% of all manufacturing energy use and 94% of U.S. manufacturing combustion GHG emissions) and for U.S. manufacturing as a whole (NAICS 31 - 33). These sectors are described in more detail in the document 2010 Manufacturing

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

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

    3,"WGL Energy Services, Inc.","Investor-owned",1270636,59707,1210929,0,0 4,"Direct Energy Business Marketing, LLC","Investor-owned",1208043,0,839195,220720,148128 5,"Direct Energy ...

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

    SciTech Connect (OSTI)

    Not Available

    1982-01-01

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

  18. The Reality and Future Scenarios of Commercial Building Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; Lin, Jiang

    2007-08-01

    While China's 11th Five Year Plan called for a reduction of energy intensity by 2010, whether and how the energy consumption trend can be changed in a short time has been hotly debated. This research intends to evaluate the impact of a variety of scenarios of GDP growth, energy elasticity and energy efficiency improvement on energy consumption in commercial buildings in China using a detailed China End-use Energy Model. China's official energy statistics have limited information on energy demand by end use. This is a particularly pertinent issue for building energy consumption. The authors have applied reasoned judgments, based on experience of working on Chinese efficiency standards and energy related programs, to present a realistic interpretation of the current energy data. The bottom-up approach allows detailed consideration of end use intensity, equipment efficiency, etc., thus facilitating assessment of potential impacts of specific policy and technology changes on building energy use. The results suggest that: (1) commercial energy consumption in China's current statistics is underestimated by about 44%, and the fuel mix is misleading; (2) energy efficiency improvements will not be sufficient to offset the strong increase in end-use penetration and intensity in commercial buildings; (3) energy intensity (particularly electricity) in commercial buildings will increase; (4) different GDP growth and elasticity scenarios could lead to a wide range of floor area growth trajectories , and therefore, significantly impact energy consumption in commercial buildings.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    Broader source: Energy.gov [DOE]

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

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

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 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 has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four

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

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

    NewEnergy, Inc","Investor-owned",469721,0,296950,149198,23573 4,"TransCanada Power Marketing, Ltd.","Investor-owned",301970,0,0,301970,0 5,"Direct Energy Business ...

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

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

    3,"PECO Energy Co","Investor-owned",11394476,8577010,2270505,546961,0 4,"Talen Energy Marketing, LLC","Investor-owned",10381698,1509992,5324011,3260638,287057 5,"PPL ...

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

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

    Energy LLC - (MT)","Investor-owned",5974533,2398528,3120726,455279,0 2,"Talen Energy Marketing, LLC","Investor-owned",2202299,0,131400,2070899,0 3,"Flathead Electric ...

  5. Energy by State | Open Energy Information

    Open Energy Info (EERE)

    per ) Compare By: US States Sector End-Use Sectors Electric Power Sector Energy Source, Consumption Coal Geothermal Energy Hydroelectric Power Natural Gas Nuclear Energy...

  6. RCPO1 - A Monte Carlo program for solving neutron and photon transport problems in three dimensional geometry with detailed energy description and depletion capability

    SciTech Connect (OSTI)

    Ondis, L.A., II; Tyburski, L.J.; Moskowitz, B.S.

    2000-03-01

    The RCP01 Monte Carlo program is used to analyze many geometries of interest in nuclear design and analysis of light water moderated reactors such as the core in its pressure vessel with complex piping arrangement, fuel storage arrays, shipping and container arrangements, and neutron detector configurations. Written in FORTRAN and in use on a variety of computers, it is capable of estimating steady state neutron or photon reaction rates and neutron multiplication factors. The energy range covered in neutron calculations is that relevant to the fission process and subsequent slowing-down and thermalization, i.e., 20 MeV to 0 eV. The same energy range is covered for photon calculations.

  7. Overview of energy-conservation research opportunities

    SciTech Connect (OSTI)

    Hopp, W.J.; Hauser, S.G.; Hane, G.J.; Gurwell, W.E.; Bird, S.P.; Cliff, W.C.; Williford, R.E.; Williams, T.A.; Ashton, W.B.

    1981-12-01

    This document is a study of research opportunities that are important to developing advanced technologies for efficient energy use. The study's purpose is to describe a wide array of attractive technical areas from which specific research and development programs could be implemented. Research areas are presented for potential application in each of the major end-use sectors. The study develops and applies a systematic approach to identifying and screening applied energy conservation research opportunities. To broadly cover the energy end-use sectors, this study develops useful information relating to the areas where federally-funded applied research will most likely play an important role in promoting energy conservation. This study is not designed to produce a detailed agenda of specific recommended research activities. The general information presented allows uniform comparisons of disparate research areas and as such provides the basis for formulating a cost-effective, comprehensive federal-applied energy conservation research strategy. Chapter 2 discusses the various methodologies that have been used in the past to identify research opportunities and details the approach used here. In Chapters 3, 4, and 5 the methodology is applied to the buildings, transportation, and industrial end-use sectors and the opportunities for applied research in these sectors are discussed.Chapter 6 synthesizes the results of the previous three chapters to give a comprehensive picture of applied energy conservation research opportunities across all end-use sectors and presents the conclusions to the report.

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

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

    ... and manufacturer information. - Provide a relative ... and clothes dryers in 2015 * ENERGY STAR continues to ... (HHV) of the fuel. **Electricity consumption is for ...

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

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

    Maine" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NextEra Energy Power Marketing","Investor-owned",19844...

  10. 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.

  11. Fort Irwin Integrated Resource Assessment. Volume 2, Baseline detail

    SciTech Connect (OSTI)

    Richman, E.E.; Keller, J.M.; Dittmer, A.L.; Hadley, D.L.

    1994-01-01

    This report documents the assessment of baseline energy use at Fort Irwin, a US Army Forces Command facility near Barstow, California. It is a companion report to Volume 1, Executive Summary, and Volume 3, Integrated Resource Assessment. The US Army Forces Command (FORSCOM) has tasked the US Department of Energy (DOE) Federal Energy Management Program (FEMP), supported by the Pacific Northwest Laboratory (PNL), to identify, evaluate, and assist in acquiring all cost-effective energy projects at Fort Irwin. This is part of a model program that PNL has designed to support energy-use decisions in the federal sector. This program (1) identifies and evaluates all cost-effective energy projects; (2) develops a schedule at each installation for project acquisition considering project type, size, timing, and capital requirements, as well as energy and dollar savings; and (3) targets 100% of the financing required to implement energy efficiency projects. PNL applied this model program to Fort Irwin. This analysis examines the characteristics of electric, propane gas, and vehicle fuel use for a typical operating year. It records energy-use intensities for the facilities at Fort Irwin by building type and energy end use. It also breaks down building energy consumption by fuel type, energy end use, and building type. A complete energy consumption reconciliation is presented that accounts for all energy use among buildings, utilities, and applicable losses.

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

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

    NewEnergy, Inc","Investor-owned",3073373,0,2140922,923167,9284 5,"TransCanada Power Marketing, Ltd.","Investor-owned",2374650,0,0,2374650,0 " ","Total sales, top five ...

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

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

    4,"Niagara Mohawk Power Corp.","Investor-owned",13152596,8914956,3220135,1017505,0 5,"Direct Energy Business Marketing, LLC","Investor-owned",8604263,0,4198880,4405383,0 " ...

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

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

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

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Michigan" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"DTE Electric Company","Investor-owned",42272312,15273084,16715877,10283351,0 2,"Consumers Energy Co","Investor-owned",32556015,12792609,11117015,8646391,0 3,"First Energy Solutions

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Carolinas, LLC","Investor-owned",55301813,20601105,22341733,12351570,7405 2,"Duke Energy Progress - (NC)","Investor-owned",36886571,15249396,13425824,8211351,0 3,"Virginia Electric & Power

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Ohio" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",49437270,14024133,21080138,14272628,60371 2,"Ohio Power Co","Investor-owned",19142615,10834999,3492174,4815442,0 3,"DPL Energy

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Texas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Reliant Energy Retail Services","Investor-owned",39511303,17784060,3813963,17913280,0 2,"TXU Energy Retail Co LP","Investor-owned",37916867,22545174,5383121,9988572,0 3,"City of San Antonio -

  19. Hawaii energy strategy project 2: Fossil energy review. Task 2: Fossil energy in Hawaii

    SciTech Connect (OSTI)

    Breazeale, K.; Yamaguchi, N.D.; Keeville, H.

    1993-12-01

    In Task 2, the authors establish a baseline for evaluating energy use in Hawaii, and examine key energy and economic indicators. They provide a detailed look at fossil energy imports by type, current and possible sources of oil, gas and coal, quality considerations, and processing/transformation. They present time series data on petroleum product consumption by end-use sector, though they caution the reader that the data is imperfect. They discuss fuel substitutability to identify those end-use categories that are most easily switched to other fuels. They then define and analyze sequential scenarios of fuel substitution in Hawaii and their impacts on patterns of demand. They also discuss energy security--what it means to Hawaii, what it means to neighboring economies, whether it is possible to achieve energy security. 95 figs., 48 tabs.

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Hampshire" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NH","Investor-Owned",3772359,2488177,1149989,134193,0 2,"Constellation NewEnergy, Inc","Investor-Owned",978706,0,577347,401359,0 3,"Integrys Energy Services, Inc.","Investor-Owned",789158,3122,786036,0,0

  1. Co-Simulation of Detailed Whole Building with the Power System to Study Smart Grid Applications

    SciTech Connect (OSTI)

    Makhmalbaf, Atefe; Fuller, Jason C.; Srivastava, Viraj; Ciraci, Selim; Daily, Jeffrey A.

    2014-12-24

    Modernization of the power system in a way that ensures a sustainable energy system is arguably one of the most pressing concerns of our time. Buildings are important components in the power system. First, they are the main consumers of electricity and secondly, they do not have constant energy demand. Conventionally, electricity has been difficult to store and should be consumed as it is generated. Therefore, maintaining the demand and supply is critical in the power system. However, to reduce the complexity of power models, buildings (i.e., end-use loads) are traditionally modeled and represented as aggregated dumb nodes in the power system. This means we lack effective detailed whole building energy models that can support requirements and emerging technologies of the smart power grid. To gain greater insight into the relationship between building energy demand and power system performance, it is important to constitute a co-simulation framework to support detailed building energy modeling and simulation within the power system to study capabilities promised by the modern power grid. This paper discusses ongoing work at Pacific Northwest National Laboratory and presents underlying tools and framework needed to enable co-simulation of building, building energy systems and their control in the power system to study applications such as demand response, grid-based HVAC control, and deployment of buildings for ancillary services. The optimal goal is to develop an integrated modeling and simulation platform that is flexible, reusable, and scalable. Results of this work will contribute to future building and power system studies, especially those related to the integrated smart grid. Results are also expected to advance power resiliency and local (micro) scale grid studies where several building and renewable energy systems transact energy directly. This paper also reviews some applications that can be supported and studied using the framework introduced to understand their implications before they can be successfully implemented in the power system.

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Illinois" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Constellation NewEnergy, Inc","Investor-owned",19729300,869767,12641305,5509689,708539 2,"Commonwealth Edison Co","Investor-owned",18295340,9548453,7883890,862997,0 3,"Homefield

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Indiana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Indiana Inc","Investor-owned",28003070,9183527,8450462,10369081,0 2,"Northern Indiana Pub Serv Co","Investor-owned",16798335,3444738,3992698,9339677,21222 3,"Indiana Michigan Power

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Iowa" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"MidAmerican Energy Co","Investor-owned",20217549,5829442,5195709,9192398,0 2,"Interstate Power and Light Co","Investor-owned",14586595,3939183,3951419,6695993,0 3,"Board of Water Electric &

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Kansas" "megawatthours" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Westar Energy Inc","Investor-owned",9826375,3409863,4433462,1983050,0 2,"Kansas Gas & Electric Co","Investor-owned",9669223,3113287,3132064,3423872,0 3,"Kansas City Power & Light

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Maryland" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Baltimore Gas & Electric Co","Investor-owned",11968295,8967015,2846423,154857,0 2,"WGL Energy Services, Inc.","Investor-owned",7553788,1092845,6460943,0,0 3,"Potomac Electric Power

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Jersey" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Elec & Gas Co","Investor-owned",19192403,11493325,6936055,763023,0 2,"Jersey Central Power & Lt Co","Investor-owned",9947655,7417321,2298350,231984,0 3,"Direct Energy Business Marketing,

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"South Carolina Electric&Gas Company","Investor-owned",21371090,7571438,7799857,5999795,0 2,"Duke Energy Carolinas, LLC","Investor-owned",20566058,6313640,5619965,8632453,0 3,"South Carolina Public Service

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Dakota" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Northern States Power Co - Minnesota","Investor-owned",2040726,725505,980503,334718,0 2,"NorthWestern Energy - (SD)","Investor-owned",1564096,579570,690191,294335,0 3,"Black Hills Power

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

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

    4 APPENDIX C EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Final DISCLAIMER This presentation was prepared as an account of work sponsored by

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

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

    5 APPENDIX D EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Advanced Case Final DISCLAIMER This presentation was prepared as an account of work

  12. Property:Project Details | Open Energy Information

    Open Energy Info (EERE)

    to be installed; and desalination could also be co-located. The Griffith University Gold Coast Campus Centre for Coastal Management will investigate the flows late in 2008 for...

  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. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Florida" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Florida Power & Light Co","Investor-owned",103058588,54074164,45932938,2963404,88082 2,"Duke Energy Florida, Inc","Investor-owned",36615990,18507962,14901674,3206354,0 3,"Tampa Electric Co","Investor-owned",18417662,8469567,7921282,2026813,0

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Total sales, top five providers" "Nevada" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Nevada Power Co","Investor-owned",21184405,9012407,4576328,7587394,8276 2,"Sierra Pacific Power Co","Investor-owned",8151543,2369781,2963657,2818105,0 3,"Shell Energy North America (US),

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Washington" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Puget Sound Energy Inc","Investor-owned",21208609,10769101,9205670,1229556,4282 2,"City of Seattle - (WA)","Public",9457191,3137668,5261681,1057188,654 3,"Bonneville Power Administration","Federal",7222335,0,833256,6389079,0

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    Wyoming" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-owned",9553734,1092932,1538409,6922393,0 2,"Powder River Energy Corp","Cooperative",2633437,215755,912786,1504896,0 3,"Cheyenne Light Fuel & Power Co","Investor-owned",1100543,269296,549520,281727,0

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

    SciTech Connect (OSTI)

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

    2012-06-01

    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).

  19. 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/

  20. Researching Energy Use in Hospitals

    Broader source: Energy.gov [DOE]

    Historically, when hospital facility and energy managers have compared alternative energy efficiency investments for various end-use systems, their benchmarks have been limited to end-use estimates...

  1. POLICY GUIDANCE MEMORANDUM #15 Processing Personnel Actions for Details |

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

    Department of Energy 5 Processing Personnel Actions for Details POLICY GUIDANCE MEMORANDUM #15 Processing Personnel Actions for Details The Office of Personnel Management (OPM), effective September 12, 2010, requires agencies to officially document detail actions. As a result, all Servicing Human Resources Offices (SHROs) are now required to document, process, and file certain specific detail actions in CHRIS. PDF icon POLICY GUIDANCE MEMORANDUM #15 Processing Personnel Actions for Details

  2. 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

  3. Premiere issue of "Quest" magazine details PPPL's strides toward...

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

    Premiere issue of "Quest" magazine details PPPL's strides toward fusion energy and advances in plasma science September 5, 2013 Tweet Widget Google Plus One Share on Facebook Quest...

  4. UAIEE and Industrial Assessment Centers | Department of Energy

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

    UAIEE and Industrial Assessment Centers UAIEE and Industrial Assessment Centers Details about the locations and proceedures of Industrial Assessment Centers in the United States. PDF icon session_2_industry_track_muller_en.pdf PDF icon session_2_industry_track_muller_cn.pdf More Documents & Publications Industrial Energy Efficiency Assessments U.S. Industrial Energy Efficiency Programs Realizing Building End-Use Efficiency with Ermerging Technologies

  5. " Row: End Uses;"

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

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

  6. " Row: End Uses;"

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

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

  7. " Row: End Uses;"

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

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

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

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

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

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

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

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

  10. " Row: End Uses;"

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

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

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

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

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

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

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

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

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

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

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

  14. " Row: End Uses;"

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

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

  15. " Row: End Uses;"

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

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

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

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

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

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

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

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

  18. " Row: End Uses;"

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

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

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

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

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

  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. U.S. Energy Information Administration (EIA) - Pub

    Gasoline and Diesel Fuel Update (EIA)

    of Energy, U.S. Energy Information Administration. 6. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Residential Lighting End-Use Consumption...

  2. Details | netl.doe.gov

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

    Release Date: Contact: Shelley Martin, DOE National Energy Technology Laboratory, 304-285-0228, contact.publicaffairs@netl.doe.gov

  3. Commercial Buildings Energy Consumption and Expenditures 1992

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

    Distribution Category UC-950 Commercial Buildings Energy Consumption and Expenditures 1992 April 1995 Energy Information Adminstration Office of Energy Markets and End Use U.S....

  4. Quadrennial Energy Review Second Installment Electricity: Generation...

    Energy Savers [EERE]

    Quadrennial Energy Review Second Installment Electricity: Generation to End-Use ... Ernest Moniz, United States Secretary of Energy As United States Secretary of Energy, Dr. ...

  5. Historical Monthly Energy Review

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

    73-92) Distribution Category UC-950 Historical Monthly Energy Review 1973-1992 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  6. Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling

    Energy Savers [EERE]

    and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S. | Department of Energy Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S. Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S. Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of Advanced Pumped

  7. Details of the FY 2014 Budget Request for FE | Department of...

    Energy Savers [EERE]

    Details of the FY 2014 Budget Request for FE Details of the FY 2014 Budget Request for FE Detailed budget justifications for the Office of Fossil Energy for FY 2014 budget request....

  8. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  9. 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.

  10. 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.

  11. Two Studies Reveal Details of Lithium-Battery Function

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

    Two Studies Reveal Details of Lithium-Battery Function Two Studies Reveal Details of Lithium-Battery Function Print Wednesday, 27 February 2013 00:00 Our way of life is deeply intertwined with battery technologies that have enabled a mobile revolution powering cell phones, laptops, medical devices, and cars. As conventional lithium-ion batteries approach their theoretical energy-storage limits, new technologies are emerging to address the long-term energy-storage improvements needed for mobile

  12. 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.

  13. Peru-GEF Nationally Appropriate Mitigation Actions in the Energy...

    Open Energy Info (EERE)

    (Redirected from UNDP-Peru GEF Nationally Appropriate Mitigation Actions in the Energy Generation and End-Use Sectors)...

  14. tech details | netl.doe.gov

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

    tech details Available Technologies Partnerships and Licensing Success Stories Contact Us For more information Contact Us

  15. Assessment of Energy Use in Multibuilding Facilities

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

    CBECS asked for district steam or district hot water piped into the building. Source: Energy Information Administration, Office of Energy Markets and End Use, 1979, 1983, 1986 and...

  16. Buildings and Energy in the 1980s

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

    Air Conditioning: See Energy End Use, Cooling. Authorization Form: A form signed by the respondent authorizing energy supplier companies that serve the building to release...

  17. 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

  18. Monthly Energy Review - March 2010

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

    March 31, 2010 DOEEIA-0035(201003) Monthly Energy Review March 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  19. Monthly Energy Review - May 2010

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

    May 27, 2010 DOEEIA-0035(201005) Monthly Energy Review May 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington,...

  20. Monthly Energy Review - April 2010

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

    April 30, 2010 DOEEIA-0035(201004) Monthly Energy Review April 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  1. Monthly Energy Review - May 2010

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

    June 30, 2010 DOEEIA-0035(201006) Monthly Energy Review June 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  2. Monthly Energy Review - July 2010

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

    July 30, 2010 DOEEIA-0035(201007) Monthly Energy Review July 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  3. Monthly Energy Review - February 2010

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

    February 26, 2010 DOEEIA-0035(201002) Monthly Energy Review February 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  4. A Stochastic Reactor Based Virtual Engine Model Employing Detailed

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

    Chemistry for Kinetic Studies of In-Cylinder Combustion and Exhaust Aftertreatment | Department of Energy A Stochastic Reactor Based Virtual Engine Model Employing Detailed Chemistry for Kinetic Studies of In-Cylinder Combustion and Exhaust Aftertreatment A Stochastic Reactor Based Virtual Engine Model Employing Detailed Chemistry for Kinetic Studies of In-Cylinder Combustion and Exhaust Aftertreatment The model consists of an in-cylinder combustion engine model, an interconnecting exhaust

  5. Overview of Detailed Chemical Speciation and Particle Sizing for Diesel

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

    Exhaust, Both Real Time and Filter Based Measurements | Department of Energy Detailed Chemical Speciation and Particle Sizing for Diesel Exhaust, Both Real Time and Filter Based Measurements Overview of Detailed Chemical Speciation and Particle Sizing for Diesel Exhaust, Both Real Time and Filter Based Measurements 2002 DEER Conference Presentation: University of Wisconsin - Madison PDF icon 2002_deer_foster.pdf More Documents & Publications The Impact of Oil Consumption Mechanisms on

  6. Improving Combustion Software to Solve Detailed Chemical Kinetics for HECC

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

    | Department of Energy Combustion Software to Solve Detailed Chemical Kinetics for HECC Improving Combustion Software to Solve Detailed Chemical Kinetics for HECC 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon ace076_mcnenly_2012_o.pdf More Documents & Publications Vehicle Technologies Office Merit Review 2014: Improved Solvers for Advanced Engine Combustion Simulation Improved Solvers for Advanced Engine

  7. Letter from Commonwealth of Virginia to ENSR International Detailing

    Energy Savers [EERE]

    Responses to Comments made Concerning the Modified Protocol for Downwash Modeling-Mirant Potomac River, LLC | Department of Energy of Virginia to ENSR International Detailing Responses to Comments made Concerning the Modified Protocol for Downwash Modeling-Mirant Potomac River, LLC Letter from Commonwealth of Virginia to ENSR International Detailing Responses to Comments made Concerning the Modified Protocol for Downwash Modeling-Mirant Potomac River, LLC Docket No. EO-05-01: Letter from

  8. Idaho's Advanced Mixed Waste Treatment Project Details 2013

    Office of Environmental Management (EM)

    Accomplishments | Department of Energy Idaho's Advanced Mixed Waste Treatment Project Details 2013 Accomplishments Idaho's Advanced Mixed Waste Treatment Project Details 2013 Accomplishments December 24, 2013 - 12:00pm Addthis IDAHO FALLS, Idaho - EM and its contractor, Idaho Treatment Group (ITG), safely and compliantly met all of their production and shipping targets in the Advanced Mixed Waste Treatment Project (AMWTP) at the Idaho site in 2013. AMWTP's purpose is to safely process and

  9. Detailed Chemical Kinetic Modeling of Cyclohexane Oxidation

    SciTech Connect (OSTI)

    Silke, E J; Pitz, W J; Westbrook, C K; Ribaucour, M

    2006-11-10

    A detailed chemical kinetic mechanism has been developed and used to study the oxidation of cyclohexane at both low and high temperatures. Reaction rate constant rules are developed for the low temperature combustion of cyclohexane. These rules can be used for in chemical kinetic mechanisms for other cycloalkanes. Since cyclohexane produces only one type of cyclohexyl radical, much of the low temperature chemistry of cyclohexane is described in terms of one potential energy diagram showing the reaction of cyclohexyl radical + O{sub 2} through five, six and seven membered ring transition states. The direct elimination of cyclohexene and HO{sub 2} from RO{sub 2} is included in the treatment using a modified rate constant of Cavallotti et al. Published and unpublished data from the Lille rapid compression machine, as well as jet-stirred reactor data are used to validate the mechanism. The effect of heat loss is included in the simulations, an improvement on previous studies on cyclohexane. Calculations indicated that the production of 1,2-epoxycyclohexane observed in the experiments can not be simulated based on the current understanding of low temperature chemistry. Possible 'alternative' H-atom isomerizations leading to different products from the parent O{sub 2}QOOH radical were included in the low temperature chemical kinetic mechanism and were found to play a significant role.

  10. 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.

  11. Annual Energy Outlook 2015 - Appendix A

    Gasoline and Diesel Fuel Update (EIA)

    6 Reference case Table A19. Energy-related carbon dioxide emissions by end use (million metric tons) Energy Information Administration / Annual Energy Outlook 2015 Table A19. Energy-related carbon dioxide emissions by end use (million metric tons) Sector and end use Reference case Annual growth 2013-2040 (percent) 2012 2013 2020 2025 2030 2035 2040 Residential Space heating ........................................................ 228 293 248 236 228 218 207 -1.3% Space cooling

  12. BISICLES Captures Details of Retreating Antarctic Ice

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

    BISICLES Captures Details of Retreating Antarctic Ice BISICLES Captures Details of Retreating Antarctic Ice March 30, 2013 Contact: Linda Vu, lvu@lbl.gov, +1 510 495 2402 Satellite observations suggest that the shrinking West Antarctic ice sheet is contributing to global sea level rise. But until recently, scientists could not accurately model the physical processes driving retreat of the ice sheet. Now, a new ice sheet model-called Berkeley-ISICLES (BISICLES)-is shedding light on these details.

  13. Central Plateau Principles Public Involvement Advice DETAILED...

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

    v0, 12914 Central Plateau Principles Public Involvement Advice DETAILED BACKGROUND Cleanup of Hanford's Central Plateau is expected to take another four decades or longer, and...

  14. Two Studies Reveal Details of Lithium-Battery Function

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

    Two Studies Reveal Details of Lithium-Battery Function Print Our way of life is deeply intertwined with battery technologies that have enabled a mobile revolution powering cell phones, laptops, medical devices, and cars. As conventional lithium-ion batteries approach their theoretical energy-storage limits, new technologies are emerging to address the long-term energy-storage improvements needed for mobile systems, electric vehicles in particular. Battery performance depends on the dynamics of

  15. Two Studies Reveal Details of Lithium-Battery Function

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

    Two Studies Reveal Details of Lithium-Battery Function Print Our way of life is deeply intertwined with battery technologies that have enabled a mobile revolution powering cell phones, laptops, medical devices, and cars. As conventional lithium-ion batteries approach their theoretical energy-storage limits, new technologies are emerging to address the long-term energy-storage improvements needed for mobile systems, electric vehicles in particular. Battery performance depends on the dynamics of

  16. Two Studies Reveal Details of Lithium-Battery Function

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

    Two Studies Reveal Details of Lithium-Battery Function Print Our way of life is deeply intertwined with battery technologies that have enabled a mobile revolution powering cell phones, laptops, medical devices, and cars. As conventional lithium-ion batteries approach their theoretical energy-storage limits, new technologies are emerging to address the long-term energy-storage improvements needed for mobile systems, electric vehicles in particular. Battery performance depends on the dynamics of

  17. Two Studies Reveal Details of Lithium-Battery Function

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

    Two Studies Reveal Details of Lithium-Battery Function Print Our way of life is deeply intertwined with battery technologies that have enabled a mobile revolution powering cell phones, laptops, medical devices, and cars. As conventional lithium-ion batteries approach their theoretical energy-storage limits, new technologies are emerging to address the long-term energy-storage improvements needed for mobile systems, electric vehicles in particular. Battery performance depends on the dynamics of

  18. Third Climate Change Science Program Report Issued; Report Details Effects

    Office of Science (SC) Website

    of Climate Change on Energy Production and Use in the United States | U.S. DOE Office of Science (SC) Third Climate Change Science Program Report Issued; Report Details Effects of Climate Change on Energy Production and Use in the United States News News Home Featured Articles Science Headlines 2015 2014 2013 2016 2012 2011 2010 2009 2008 2007 2006 2005 Science Highlights Presentations & Testimony News Archives Communications and Public Affairs Contact Information Office of Science U.S.

  19. 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.

  20. Manufacturing Consumption of Energy 1994

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

    2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of...

  1. Buildings and Energy in the 80's -- Overview

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

    Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980...

  2. The Global Energy Challenge (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    conversion of energy from chemical fuel, sunlight, and heat to electricity or hydrogen as an energy carrier and finally to end uses like transportation, lighting, and...

  3. U.S. Energy Information Administration (EIA) - Ap

    Gasoline and Diesel Fuel Update (EIA)

    and the number of producing facilities Consumption & Efficiency view all Residential Energy Consumption Survey Household end use consumption of energy and expenditures Commercial...

  4. U.S. Energy Information Administration (EIA) - Ap

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

    (2) Congressional & other requests (1) consumption (8) demand (1) end-use (1) energy (2) Energy Perspectives (5) exports (7) Extended Policies Case (1) forecast (1)...

  5. ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy...

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

    A. Fuel Oil Consumption (Btu) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy Intensity (thousand Btu...

  6. Manufacturing consumption of energy 1991

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

  7. First Detailed Look at RNA Dicer

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

    Detailed Look at RNA Dicer First Detailed Look at RNA Dicer Print Wednesday, 25 January 2006 00:00 Scientists have gotten their first detailed look at the molecular structure of an enzyme that Nature has been using for eons to help silence unwanted genetic messages. A team of researchers with Berkeley Lab and the University of California, Berkeley, used x-ray crystallography at ALS Beamlines 8.2.1 and 8.2.2 to determine the crystal structure of Dicer, an enzyme that plays a critical role in a

  8. First Detailed Look at RNA Dicer

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

    Scientists have gotten their first detailed look at the molecular structure of an enzyme that Nature has been using for eons to help silence unwanted genetic messages. A team...

  9. ForA Request Detail Page

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

    ForA Request Detail Page 1 of2 Freedom Of Information Act Electronic FOIA Request Detail Request Number: Name: Organization: Address: Country: Phone Number: Fax Number: E-mail: 20121203070924543 Karen Troutman Dewey Publications Inc. 1840 Wilson Blvd. Suite 203 Arlington, VA 22201 United States 703-524-1355 703-524-1463 troutman.deweypublications@gmail.com Reasonably Describe Records: Description: Pursuant to the Freedom of Information Act, you are requested to provide the name and email address

  10. Energy Efficiency Program Impact Evaluation Guide

    Broader source: Energy.gov [DOE]

    This Energy Efficiency Program Impact Evaluation Guide describes and provides guidance on approaches for determining and documenting energy and non-energy benefits resulting from end-use energy efficiency programs and portfolios of programs.

  11. Industrial Energy Efficiency Assessments | Department of Energy

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

    Industrial Energy Efficiency Assessments Industrial Energy Efficiency Assessments Details about the Industrial Energy Efficiency Assessments program and its implementation in...

  12. Tax Credits, Rebates & Savings | Department of Energy

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

    end-use customers. This information must be provided to customers quarterly "in plain English." Electricity suppliers must also file a copy of their energy source disclosure...

  13. Healthcare Energy Efficiency Research and Development

    SciTech Connect (OSTI)

    Black, Douglas R.; Lai, Judy; Lanzisera, Steven M; Parrish, Kristen D.; Singer, Brett C.

    2011-01-31

    Hospitals are known to be among the most energy intensive commercial buildings in California. Estimates of energy end-uses (e.g. for heating, cooling, lighting, etc.) in hospitals are uncertain for lack of information about hospital-specific mechanical system operations and process loads. Lawrence Berkeley National Laboratory developed and demonstrated a benchmarking system designed specifically for hospitals. Version 1.0 featured metrics to assess energy performance for the broad variety of ventilation and thermal systems that are present in California hospitals. It required moderate to extensive sub-metering or supplemental monitoring. In this new project, we developed a companion handbook with detailed equations that can be used toconvert data from energy and other sensors that may be added to or already part of hospital heating, ventilation and cooling systems into metrics described in the benchmarking document.This report additionally includes a case study and guidance on including metering into designs for new hospitals, renovations and retrofits. Despite widespread concern that this end-use is large and growing, there is limited reliable information about energy use by distributed medical equipment and other miscellaneouselectrical loads in hospitals. This report proposes a framework for quantifying aggregate energy use of medical equipment and miscellaneous loads. Novel approaches are suggested and tried in an attempt to obtain data to support this framework.

  14. First Detailed Look at RNA Dicer

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

    First Detailed Look at RNA Dicer Print Scientists have gotten their first detailed look at the molecular structure of an enzyme that Nature has been using for eons to help silence unwanted genetic messages. A team of researchers with Berkeley Lab and the University of California, Berkeley, used x-ray crystallography at ALS Beamlines 8.2.1 and 8.2.2 to determine the crystal structure of Dicer, an enzyme that plays a critical role in a process known as RNA interference. The Dicer enzyme is able to

  15. First Detailed Look at RNA Dicer

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

    Detailed Look at RNA Dicer Print Scientists have gotten their first detailed look at the molecular structure of an enzyme that Nature has been using for eons to help silence unwanted genetic messages. A team of researchers with Berkeley Lab and the University of California, Berkeley, used x-ray crystallography at ALS Beamlines 8.2.1 and 8.2.2 to determine the crystal structure of Dicer, an enzyme that plays a critical role in a process known as RNA interference. The Dicer enzyme is able to snip

  16. First Detailed Look at RNA Dicer

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

    First Detailed Look at RNA Dicer Print Scientists have gotten their first detailed look at the molecular structure of an enzyme that Nature has been using for eons to help silence unwanted genetic messages. A team of researchers with Berkeley Lab and the University of California, Berkeley, used x-ray crystallography at ALS Beamlines 8.2.1 and 8.2.2 to determine the crystal structure of Dicer, an enzyme that plays a critical role in a process known as RNA interference. The Dicer enzyme is able to

  17. Detailed Monthly and Annual LNG Import Statistics (2004-2012) | Department

    Energy Savers [EERE]

    of Energy Detailed Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics (2004-2012) PDF icon Detailed Monthly and Annual LNG Import Statistics (2004-2012) More Documents & Publications U.S. LNG Imports and Exports (2004-2012) Natural Gas Imports and Exports Fourth Quarter Report 2013 LNG Safety Research Report to Congress

  18. Detailed Assessment of Particulate Characteristics from Low-Temperature

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

    Combustion Engines | Department of Energy Assessment of Particulate Characteristics from Low-Temperature Combustion Engines Detailed Assessment of Particulate Characteristics from Low-Temperature Combustion Engines 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon ace083_lee_2012_p.pdf More Documents & Publications Characterization of Pre-Commercial Gasoline Engine Particulates Through Advanced Aerosol

  19. Detailed HCCI Exhaust Speciation - ORNL Reference Fuel Blends | Department

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

    of Energy HCCI Exhaust Speciation - ORNL Reference Fuel Blends Detailed HCCI Exhaust Speciation - ORNL Reference Fuel Blends *Accurately measure exhaust profile from an HCCI engine with a variety of fuels and create a better understanding of HCCI engine emissions. PDF icon deer09_bunting.pdf More Documents & Publications A Comparison of HCCI Engine Performance Data and Kinetic Modeling Results over a Wide Rangeof Gasoline Range Surrogate Fuel Blends Combustion, Efficiency, and Fuel

  20. Details of the FY 2014 Congressional Budget Request for OE | Department of

    Office of Environmental Management (EM)

    Energy Details of the FY 2014 Congressional Budget Request for OE Details of the FY 2014 Congressional Budget Request for OE The President's FY 2014 budget request for the Department of Energy will: Position the United States to compete as a world leader in clean energy and advanced manufacturing; Enhance the Nation's energy security; Respond to the threat of climate change; and Modernize the nuclear weapons stockpile and infrastructure. The entire FY 2014 DOE budget is available online. The

  1. Vandenberg Air Force Base integrated resource assessment. Volume 2, Baseline detail

    SciTech Connect (OSTI)

    Halverson, M.A.; Richman, E.E.; Dagle, J.E.; Hickman, B.J.; Daellenbach, K.K.; Sullivan, G.P.

    1993-06-01

    The US Air Force Space Command has tasked the Pacific Northwest Laboratory, as the lead laboratory supporting the US Department of Energy Federal Energy Management Program, to identify, evaluate, and assist in acquiring all cost-effective energy projects at Vandenberg Air Force Base (VAFB). This is a model program PNL is designing for federal customers served by the Pacific Gas and Electric Company (PG and E). The primary goal of the VAFB project is to identify all electric energy efficiency opportunities, and to negotiate with PG and E to acquire those resources through a customized demand-side management program for its federal clients. That customized program should have three major characteristics: (1) 100% up-front financing; (2) substantial utility cost-sharing; and (3) utility implementation through energy service companies under contract to the utility. A similar arrangement will be pursued with Southern California Gas for non-electric resource opportunities if that is deemed desirable by the site and if the gas utility seems open to such an approach. This report documents the assessment of baseline energy use at VAFB located near Lompoc, California. It is a companion report to Volume 1, Executive Summary, and Volume 3, Resource Assessment. This analysis examines the characteristics of electric, natural gas, fuel oil, and propane use for fiscal year 1991. It records energy-use intensities for the facilities at VAFB by building type and energy end use. It also breaks down building energy consumption by fuel type, energy end use, and building type. A more complete energy consumption reconciliation is presented that includes the accounting of all energy use among buildings, utilities, and applicable losses.

  2. Detailed Drawings of NERSC File Systems

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

    File System Drawing Detailed Drawings of NERSC File Systems Legend Note that "Fiber Channel" are multiple 1-1 direct connections between multiple devices, we use a cloud here to simplify the representations. Hopper Scratch Project Global Scratch Last edited: 2016-02-01 08:06:28

  3. Sandia Energy - CNST and Sandia Researchers Publish a Detailed...

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

    Nanomaterials Researchers from the NIST Center for Nanoscale Science and Technology (A. Alec Talin) and Sandia National Laboratories (Franois Lonard) have published...

  4. Quality Guidelines for Energy System Studies: Detailed Coal Specificat...

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

    formation. Some of the mineral matter can be introduced into the coal during a mechanized mining process as a result of undesirable mixing with the overburden material. This is...

  5. Detailed balance limit of power conversion efficiency for organic photovoltaics

    SciTech Connect (OSTI)

    Seki, Kazuhiko; Furube, Akihiro; Yoshida, Yuji

    2013-12-16

    A fundamental difference between inorganic photovoltaic (IPV) and organic photovoltaic (OPV) cells is that charges are generated at the interface in OPV cells, while free charges can be generated in the bulk in IPV cells. In OPV cells, charge generation involves intrinsic energy losses to dissociate excitons at the interface between the donor and acceptor. By taking into account the energy losses, we show the theoretical limits of the power conversion efficiency set by radiative recombination of the carriers on the basis of the detailed balance relation between radiation from the cell and black-body radiation.

  6. Commercial Buildings Characteristics 1995 - Detailed Tables

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

    35 36 Refrigeration 37 37 Water-Heating 38 38 Lighting 39 40 Conservation (16 pages) Energy Conservation Features 41 41 Building Shell Conservation 42 43 Reduction in...

  7. 1999 Commercial Building Characteristics--Detailed Tables--Principal...

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

    Principal Building Activities > Detailed Tables-Principal Building Activities Complete Set of 1999 CBECS Detailed Tables Detailed Tables-Principal Building Activities Table B1....

  8. 1999 Commercial Building Characteristics--Detailed Tables--Year...

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

    Year Constructed > Detailed Tables-Year Constructed Complete Set of 1999 CBECS Detailed Tables Detailed Tables-Year Constructed Table B8. Year Constructed, Number of Buildings...

  9. Buildings and Energy in the 1980s

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

    Energy Sources and End Uses Energy is an important but often unnoticed contributor to the high levels of productivity and quality of life enjoyed by U.S. residents. Energy is used...

  10. Energy Intensity Indicators: Overview of Concepts

    Broader source: Energy.gov [DOE]

    The Energy Intensity Indicators website reports changes in energy intensity in the United States since 1970. The website discusses, and presents data for, energy intensity trends by major end-use...

  11. Residential and Transport Energy Use in India: Past Trend and Future Outlook

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; Letschert, Virginie; McNeil, Michael; Zhou, Nan; Sathaye, Jayant

    2009-03-31

    The main contribution of this report is to characterize the underlying residential and transport sector end use energy consumption in India. Each sector was analyzed in detail. End-use sector-level information regarding adoption of particular technologies was used as a key input in a bottom-up modeling approach. The report looks at energy used over the period 1990 to 2005 and develops a baseline scenario to 2020. Moreover, the intent of this report is also to highlight available sources of data in India for the residential and transport sectors. The analysis as performed in this way reveals several interesting features of energy use in India. In the residential sector, an analysis of patterns of energy use and particular end uses shows that biomass (wood), which has traditionally been the main source of primary energy used in households, will stabilize in absolute terms. Meanwhile, due to the forces of urbanization and increased use of commercial fuels, the relative significance of biomass will be greatly diminished by 2020. At the same time, per household residential electricity consumption will likely quadruple in the 20 years between 2000 and 2020. In fact, primary electricity use will increase more rapidly than any other major fuel -- even more than oil, in spite of the fact that transport is the most rapidly growing sector. The growth in electricity demand implies that chronic outages are to be expected unless drastic improvements are made both to the efficiency of the power infrastructure and to electric end uses and industrial processes. In the transport sector, the rapid growth in personal vehicle sales indicates strong energy growth in that area. Energy use by cars is expected to grow at an annual growth rate of 11percent, increasing demand for oil considerably. In addition, oil consumption used for freight transport will also continue to increase .

  12. Method for Evaluating Energy Use of Dishwashers, Clothes Washers, and Clothes Dryers: Preprint

    SciTech Connect (OSTI)

    Eastment, M.; Hendron, R.

    2006-08-01

    Building America teams are researching opportunities to improve energy efficiency for some of the more challenging end-uses, such as lighting (both fixed and occupant-provided), appliances (clothes washer, dishwasher, clothes dryer, refrigerator, and range), and miscellaneous electric loads, which are all heavily dependent on occupant behavior and product choices. These end-uses have grown to be a much more significant fraction of total household energy use (as much as 50% for very efficient homes) as energy efficient homes have become more commonplace through programs such as ENERGY STAR and Building America. As modern appliances become more sophisticated the residential energy analyst is faced with a daunting task in trying to calculate the energy savings of high efficiency appliances. Unfortunately, most whole-building simulation tools do not allow the input of detailed appliance specifications. Using DOE test procedures the method outlined in this paper presents a reasonable way to generate inputs for whole-building energy-simulation tools. The information necessary to generate these inputs is available on Energy-Guide labels, the ENERGY-STAR website, California Energy Commission's Appliance website and manufacturer's literature. Building America has developed a standard method for analyzing the effect of high efficiency appliances on whole-building energy consumption when compared to the Building America's Research Benchmark building.

  13. Residential Windows and Window Coverings: A Detailed View of the Installed Base and User Behavior

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

    Residential Windows and Window Coverings: A Detailed View of the Installed Base and User Behavior SEPTEMBER 2013 Prepared for: Building Technologies Office Office of Energy Efficiency and Renewable Energy U.S. Department of Energy Prepared by: D&R International, Ltd. September 2013 Prepared for: Building Technologies Office Office of Energy Efficiency and Renewable Energy U.S. Department of Energy Prepared By: D&R International, Ltd. 1300 Spring Street, Suite 500 Silver Spring, MD 20910

  14. Buildings Energy Data Book

    Buildings Energy Data Book [EERE]

    Most Popular Tables PDFXLS 1.1.1 U.S. Residential and Commercial Buildings Total Primary Energy Consumption PDFXLS 3.1.1 Commercial Primary Energy Consumption, by Year and Fuel Type PDFXLS 1.1.3 Buildings Share of U.S. Primary Energy Consumption PDFXLS 3.1.4 2010 Commercial Energy End-Use Splits, by Fuel Type PDFXLS 2.1.1 Residential Primary Energy Consumption, by Year and Fuel Type PDFXLS 3.1.5 2015 Commercial Energy End-Use Splits, by Fuel Type PDFXLS 3.2.1 Total Commercial Floorspace and

  15. Bio-butanol: Combustion properties and detailed chemical kinetic model

    SciTech Connect (OSTI)

    Black, G.; Curran, H.J.; Pichon, S.; Simmie, J.M.; Zhukov, V.

    2010-02-15

    Autoignition delay time measurements were performed at equivalence ratios of 0.5, 1 and 2 for butan-1-ol at reflected shock pressures of 1, 2.6 and 8 atm at temperatures from 1100 to 1800 K. High-level ab initio calculations were used to determine enthalpies of formation and consequently bond dissociation energies for each bond in the alcohol. A detailed chemical kinetic model consisting of 1399 reactions involving 234 species was constructed and tested against the delay times and also against recent jet-stirred reactor speciation data with encouraging results. The importance of enol chemistry is highlighted. (author)

  16. Assumption to the Annual Energy Outlook 2014 - Commercial Demand...

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

    chosen to meet the projected service demands for the seven major end uses. Once technologies are chosen, the energy consumed by the equipment stock (both existing and purchased...

  17. Fuel Mix and Emissions Disclosure | Department of Energy

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

    end-use customers. This information must be provided to customers quarterly "in plain English." Electricity suppliers must also file a copy of their energy source disclosure...

  18. Deep Energy Retrofit Performance Metric Comparison: Eight California...

    Office of Scientific and Technical Information (OSTI)

    the home were performed and the homes were monitored for total and individual end-use energy consumption for approximately one year. Annual performance in site and source...

  19. Consumption & Efficiency - U.S. Energy Information Administration...

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

    larger shares of electricity generation oil... Btu January to November 2015 2014 2013 2012 End-Use ... Source: U.S. Energy Information Administration, Monthly ...

  20. Price Elasticities for Energy Use in Buildings of the United...

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

    end uses in the Electricity Price Doubled case 10 ... 2014 U.S. Energy Information Administration | Price ... is cut in half between 2015 and 2040)......

  1. 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.

  2. Manufacturing Energy and Carbon Footprints (2010 MECS) | Department of

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

    Energy Manufacturing Energy and Carbon Footprints (2010 MECS) Manufacturing Energy and Carbon Footprints (2010 MECS) Energy and carbon footprints map energy use and carbon emissions in manufacturing from energy supply to end use. The footprints show where energy is used and lost-and the associated greenhouse gases (GHGs) that are emitted. Each footprint visualizes the flow of energy (in the form of fuel, electricity, or steam) to major end uses in manufacturing, including boilers, power

  3. Detailed High-Resolution Three-Dimensional Simulations of OMEGA Separated

    Office of Scientific and Technical Information (OSTI)

    Reactants Inertial Confinement Fusion Experiments (Conference) | SciTech Connect Detailed High-Resolution Three-Dimensional Simulations of OMEGA Separated Reactants Inertial Confinement Fusion Experiments Citation Details In-Document Search Title: Detailed High-Resolution Three-Dimensional Simulations of OMEGA Separated Reactants Inertial Confinement Fusion Experiments × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's

  4. Microsoft Word - Appendix I - Additional Field Implementation Detail for Selected Monitoring.docx

    Office of Legacy Management (LM)

    I Additional Field Implementation Detail for Selected Monitoring Objectives This page intentionally left blank LMS/RFS/S08202-1.0 Rocky Flats Site, Colorado Additional Field Implementation Detail for Selected Monitoring Objectives July 2013 This page intentionally left blank U.S. Department of Energy Additional Field Implementation Detail for Selected Monitoring Objectives July 2013 Doc. No. S08202-1.0 Page i Contents Abbreviations

  5. Details and justifications for the MAP concept specification for acceleration above 63 GeV

    SciTech Connect (OSTI)

    Berg, J. Scott

    2014-02-28

    The Muon Accelerator Program (MAP) requires a concept specification for each of the accelerator systems. The Muon accelerators will bring the beam energy from a total energy of 63 GeV to the maximum energy that will fit on the Fermilab site. Justifications and supporting references are included, providing more detail than will appear in the concept specification itself.

  6. Detailed Physical Trough Model for NREL's Solar Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Blair, N.; Dobos, A.

    2010-10-01

    Solar Advisor Model (SAM) is a free software package made available by the National Renewable Energy Laboratory (NREL), Sandia National Laboratory, and the US Department of Energy. SAM contains hourly system performance and economic models for concentrating solar power (CSP) systems, photovoltaic, solar hot-water, and generic fuel-use technologies. Versions of SAM prior to 2010 included only the parabolic trough model based on Excelergy. This model uses top-level empirical performance curves to characterize plant behavior, and thus is limited in predictive capability for new technologies or component configurations. To address this and other functionality challenges, a new trough model; derived from physical first principles was commissioned to supplement the Excelergy-based empirical model. This new 'physical model' approaches the task of characterizing the performance of the whole parabolic trough plant by replacing empirical curve-fit relationships with more detailed calculations where practical. The resulting model matches the annual performance of the SAM empirical model (which has been previously verified with plant data) while maintaining run-times compatible with parametric analysis, adding additional flexibility in modeled system configurations, and providing more detailed performance calculations in the solar field, power block, piping, and storage subsystems.

  7. Energy-Water Overview

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

    Emerging Issues and Challenges DOE/EIA 2010 Energy Conference Mike Hightower Sandia National Laboratories mmhight@sandia.gov, 505-844-5499 Energy and Water are ... Interdependent Water for Energy and Energy for Water Energy and power production require water: * Thermoelectric cooling * Hydropower * Energy minerals extraction/mining * Fuel Production (fossil fuels, H 2 , biofuels) * Emission control Water production, processing, distribution, and end-use require energy: * Pumping * Conveyance and

  8. Ancillary-service details: Dynamic scheduling

    SciTech Connect (OSTI)

    Hirst, E.; Kirby, B.

    1997-01-01

    Dynamic scheduling (DS) is the electronic transfer from one control area to another of the time-varying electricity consumption associated with a load or the time-varying electricity production associated with a generator. Although electric utilities have been using this technique for at least two decades, its use is growing in popularity and importance. This growth is a consequence of the major changes under way in US bulk-power markets, in particular efforts to unbundle generation from transmission and to increase competition among generation providers. DS can promote competition and increase choices. It allows consumers to purchase certain services from entities outside their physical-host area and it allows generators to sell certain services to entities other than their physical host. These services include regulation (following minute-to-minute variations in load) and operating reserves, among others. Such an increase in the number of possible suppliers and customers should encourage innovation and reduce the costs and prices of providing electricity services. The purpose of the project reported here was to collect and analyze data on utility experiences with DS. Chapter 2 provides additional details and examples of the definitions of DS. Chapter 3 explains why DS might be an attractive service that customers and generators, as well as transmission providers, might wan to use. Chapter 4 presents some of the many current DS examples the authors uncovered in their interviews. Chapter 5 discusses the costs and cost-effectiveness of DS. Chapter 6 explains what they believe can and cannot be electronically moved from one control area to another, primarily in terms of the six ancillary services that FERC defined in Order 888. Chapter 7 discusses the need for additional research on DS.

  9. Residential Windows and Window Coverings: A Detailed View of the Installed

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

    Base and User Behavior | Department of Energy Residential Windows and Window Coverings: A Detailed View of the Installed Base and User Behavior Residential Windows and Window Coverings: A Detailed View of the Installed Base and User Behavior Includes information about the installed base of residential windows and window coverings, and the operation of window coverings by households. PDF icon residential_windows_coverings.pdf More Documents & Publications Energy Savings from Window

  10. 1999 Commercial Building Characteristics--Detailed Tables--Census...

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

    Census Region > Detailed Tables-Census Region Complete Set of 1999 CBECS Detailed Tables Detailed Tables-Census Region Table B3. Census Region, Number of Buildings and Floorspace...

  11. Solar Energy Education. Renewable energy activities for biology...

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

    Citation Details In-Document Search Title: Solar Energy Education. Renewable energy ... -- Solar Energy Conversion-- Biomass Production & Conversion-- (-1989); 090120 -- ...

  12. Public Interest Energy Research (PIER) Program. Final Project Report. California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; Hasanbeigi, Ali; Sathaye, Jayant

    2010-12-01

    This report on the California Energy Balance version 2 (CALEB v2) database documents the latest update and improvements to CALEB version 1 (CALEB v1) and provides a complete picture of how energy is supplied and consumed in the State of California. The CALEB research team at Lawrence Berkeley National Laboratory (LBNL) performed the research and analysis described in this report. CALEB manages highly disaggregated data on energy supply, transformation, and end-use consumption for about 40 different energy commodities, from 1990 to 2008. This report describes in detail California's energy use from supply through end-use consumption as well as the data sources used. The report also analyzes trends in energy demand for the "Manufacturing" and "Building" sectors. Decomposition analysis of energy consumption combined with measures of the activity driving that consumption quantifies the effects of factors that shape energy consumption trends. The study finds that a decrease in energy intensity has had a very significant impact on reducing energy demand over the past 20 years. The largest impact can be observed in the industry sector where energy demand would have had increased by 358 trillion British thermal units (TBtu) if subsectoral energy intensities had remained at 1997 levels. Instead, energy demand actually decreased by 70 TBtu. In the "Building" sector, combined results from the "Service" and "Residential" subsectors suggest that energy demand would have increased by 264 TBtu (121 TBtu in the "Services" sector and 143 TBtu in the "Residential" sector) during the same period, 1997 to 2008. However, energy demand increased at a lesser rate, by only 162 TBtu (92 TBtu in the "Services" sector and 70 TBtu in the "Residential" sector). These energy intensity reductions can be indicative of energyefficiency improvements during the past 10 years. The research presented in this report provides a basis for developing an energy-efficiency performance index to measure progress over time in the State of California.

  13. State energy price system. Volume I: overview and technical documentation

    SciTech Connect (OSTI)

    Fang, J.M.; Nieves, L.A.; Sherman, K.L.; Hood, L.J.

    1982-06-01

    This study utilizes existing data sources and previous analyses of state-level energy prices to develop consistent state-level energy prices series by fuel type and by end-use sector. The fuels are electricity, natural gas, coal, distillate fuel oil, motor gasoline, diesel, kerosene, jet fuel, residual fuel, and liquefied petroleum gas. The end-use sectors are residential, commercial, industrial, transportation, and electric utility. Based upon an evaluation of existing data sources, recommendations were formulated on the feasible approaches for developing a consistent state energy price series. The data series were compiled based upon the approaches approved after a formal EIA review. Detailed documentation was provided, including annual updating procedures. Recommendations were formulated for future improvements in the collection of data or in data processing. Generally, the geographical coverage includes the 50 states and the District of Columbia. Information on state-level energy use was generally taken from the State Energy Data System (SEDS). Corresponding average US prices are also developed using volumes reported in SEDS. To the extent possible, the prices developed are quantity weighted average retail prices. Both a Btu price series and a physical unit price series are developed for each fuel. The period covered by the data series is 1970 through 1980 for most fuels, though prices for electricity and natural gas extend back to 1960. (PSB)

  14. Buildings and Energy in the 1980's

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

    sum to totals. * See "Glossary" for definition of terms used in this report. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-457 of the...

  15. Guidance for Filling Out a Detailed H2A Production Case Study | Department

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

    of Energy Guidance for Filling Out a Detailed H2A Production Case Study Guidance for Filling Out a Detailed H2A Production Case Study Download presentation slides from the EERE Fuel Cell Technologies Office webinar, "Guidance for Filling Out a Detailed H2A Production Case Study," held July 9, 2013. PDF icon Guidance for Filling Out a Detailed H2A Production Case Study Webinar Slides More Documents & Publications Summary of Electrolytic Hydrogen Production: Milestone Completion

  16. A Stochastic Reactor Based Virtual Engine Model Employing Detailed...

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

    Detailed Chemistry for Kinetic Studies of In-Cylinder Combustion and Exhaust Aftertreatment A Stochastic Reactor Based Virtual Engine Model Employing Detailed Chemistry for ...

  17. Improving Combustion Software to Solve Detailed Chemical Kinetics...

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

    Combustion Software to Solve Detailed Chemical Kinetics for HECC Improving Combustion Software to Solve Detailed Chemical Kinetics for HECC 2012 DOE Hydrogen and Fuel Cells Program...

  18. Energy Signal Tool for Decision Support in Building Energy Systems...

    Office of Scientific and Technical Information (OSTI)

    different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing...

  19. State Energy Price System: 1982 update

    SciTech Connect (OSTI)

    Imhoff, K.L.; Fang, J.M.

    1984-10-01

    The State Energy Price System (STEPS) contains estimates of energy prices for ten major fuels (electricity, natural gas, metallurgical coal, steam coal, distillate, motor gasoline, diesel, kerosene/jet fuel, residual fuel, and liquefied petroleum gas), by major end-use sectors (residential, commercial, industrial, transportation, and electric utility), and by state through 1982. Both physical unit prices and prices per million Btu are included in STEPS. Major changes in STEPS data base for 1981 and 1982 are described. The most significant changes in procedures for the updates occur in the residential sector distillate series and the residential sector kerosene series. All physical unit and Btu prices are shown with three significant digits instead of with four significant digits as shown in the original documentation. Details of these and other changes are contained in this report, along with the updated data files. 31 references, 65 tables.

  20. Manufacturing Consumption of Energy 1994

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

    A9. Total Inputs of Energy for Heat, Power, and Electricity Generation by Fuel Type, Census Region, and End Use, 1994: Part 1 (Estimates in Btu or Physical Units) See footnotes at...

  1. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; Nishida, Masaru; Gao, Weijun

    2008-12-01

    China's rapid economic expansion has propelled it into the ranks of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. Even though the rapid growth is largely attributable to heavy industry, this in turn is driven by rapid urbanization process, by construction materials and equipment produced for use in buildings. Residential energy is mostly used in urban areas, where rising incomes have allowed acquisition of home appliances, as well as increased use of heating in southern China. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modeling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities.

  2. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; McNeil, Michael A.; Levine, Mark

    2009-06-01

    China's rapid economic expansion has propelled it to the rank of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modelling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities. From this analysis, we can conclude that Chinese residential energy consumption will more than double by 2020, from 6.6 EJ in 2000 to 15.9 EJ in 2020. This increase will be driven primarily by urbanization, in combination with increases in living standards. In the urban and higher income Chinese households of the future, most major appliances will be common, and heated and cooled areas will grow on average. These shifts will offset the relatively modest efficiency gains expected according to current government plans and policies already in place. Therefore, levelling and reduction of growth in residential energy demand in China will require a new set of more aggressive efficiency policies.

  3. S U M M A R I E S U.S. Energy Information Administration | State...

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

    End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial Industrial b...

  4. U.S. States - U.S. Energy Information Administration (EIA) -...

    Gasoline and Diesel Fuel Update (EIA)

    End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial Industrial b...

  5. International energy outlook 2006

    SciTech Connect (OSTI)

    2006-06-15

    This report presents international energy projections through 2030, prepared by the Energy Information Administration. After a chapter entitled 'Highlights', the report begins with a review of world energy and economic outlook, followed by energy consumption by end-use sector. The next chapter is on world oil markets. Natural gas, world coal market and electricity consumption and supply are then discussed. The final chapter covers energy-related carbon dioxide emissions.

  6. 1999 Commercial Building Characteristics--Detailed Tables--Size...

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

    Complete Set of 1999 CBECS Detailed Tables Detailed Tables- of Buildings Table B6. Building Size, Number of Buildings b6.pdf (PDF file), b6.xls (Excel spreadsheet file), b6.txt...

  7. Two Studies Reveal Details of Lithium-Battery Function

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

    Two Studies Reveal Details of Lithium-Battery Function Two Studies Reveal Details of Lithium-Battery Function Print Wednesday, 27 February 2013 00:00 Our way of life is deeply...

  8. Premiere issue of "Quest" magazine details PPPL's strides toward fusion

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

    energy and advances in plasma science | Princeton Plasma Physics Lab Premiere issue of "Quest" magazine details PPPL's strides toward fusion energy and advances in plasma science September 5, 2013 Tweet Widget Google Plus One Share on Facebook Quest Magazine Summer 2013 Welcome to the premiere issue of Quest, the annual magazine of the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL). We are pleased to provide this news of our strides in advancing research

  9. Detail Shot Of Mira | Argonne Leadership Computing Facility

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

    Detail Shot Of Mira Download original image « Back to galleryItem 3 of 4« Previous | Next

  10. Results of Detailed Hydrologic Characterization Tests - Fiscal Year 2003

    SciTech Connect (OSTI)

    Spane, Frank A.; Newcomer, Darrell R.

    2004-09-13

    This report presents results obtained from detailed hydrologic characterization of the unconfined aquifer system conducted at the Hanford Site.

  11. Buildings and energy in the 1980`s

    SciTech Connect (OSTI)

    1995-06-01

    Many energy programs were put into place during the 1970`s and 1980`s to lessen the dependence upon foreign oil supplies and to improve how all forms of energy are used. A significant percent of total energy consumption occurred in the residential and commercial sectors. This report concentrates on the physical makeup of the residential and commercial buildings sectors and their use of energy, and examines changes that occurred during the 1980`s. Chapter 1 presents a summary of major findings. The following three chapters focus on different aspects of the overarching theme of buildings and energy in the 1980`s. Chapter 2 discusses major characteristics of residential and commercial buildings. Chapter 3 considers the major energy sources and end uses in terms of number of buildings and floorspace. Chapter 4 focuses on energy consumption and expenditures. Chapters 2, 3, and 4 contain tables at the end of each chapter that summarize data from detailed tables that are available separately on diskette or via EIA`s Electronic Publishing System (EPUB). Following the body of the report, appendices and a glossary provide additional information on the methodologies used in this report and on the residential and commercial building consumption surveys on which this report is based. 62 figs., 30 tabs.

  12. Energy

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

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

  13. Energy

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

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

  14. Energy

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

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

  15. Data and Analytics to Inform Energy Retrofit of High Performance Buildings

    SciTech Connect (OSTI)

    Hong , Tianzhen; Yang, Le; Hill, David; Feng , Wei

    2014-01-25

    Buildings consume more than one-third of the world?s primary energy. Reducing energy use in buildings with energy efficient technologies is feasible and also driven by energy policies such as energy benchmarking, disclosure, rating, and labeling in both the developed and developing countries. Current energy retrofits focus on the existing building stocks, especially older buildings, but the growing number of new high performance buildings built around the world raises a question that how these buildings perform and whether there are retrofit opportunities to further reduce their energy use. This is a new and unique problem for the building industry. Traditional energy audit or analysis methods are inadequate to look deep into the energy use of the high performance buildings. This study aims to tackle this problem with a new holistic approach powered by building performance data and analytics. First, three types of measured data are introduced, including the time series energy use, building systems operating conditions, and indoor and outdoor environmental parameters. An energy data model based on the ISO Standard 12655 is used to represent the energy use in buildings in a three-level hierarchy. Secondly, a suite of analytics were proposed to analyze energy use and to identify retrofit measures for high performance buildings. The data-driven analytics are based on monitored data at short time intervals, and cover three levels of analysis ? energy profiling, benchmarking and diagnostics. Thirdly, the analytics were applied to a high performance building in California to analyze its energy use and identify retrofit opportunities, including: (1) analyzing patterns of major energy end-use categories at various time scales, (2) benchmarking the whole building total energy use as well as major end-uses against its peers, (3) benchmarking the power usage effectiveness for the data center, which is the largest electricity consumer in this building, and (4) diagnosing HVAC equipment using detailed time-series operating data. Finally, a few energy efficiency measures were identified for retrofit, and their energy savings were estimated to be 20percent of the whole-building electricity consumption. Based on the analyses, the building manager took a few steps to improve the operation of fans, chillers, and data centers, which will lead to actual energy savings. This study demonstrated that there are energy retrofit opportunities for high performance buildings and detailed measured building performance data and analytics can help identify and estimate energy savings and to inform the decision making during the retrofit process. Challenges of data collection and analytics were also discussed to shape best practice of retrofitting high performance buildings.

  16. ENERGY PARTITIONING, ENERGY COUPLING (EPEC) EXPERIMENTS AT THE...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: ENERGY PARTITIONING, ENERGY COUPLING (EPEC) EXPERIMENTS AT THE NATIONAL IGNITION FACILITY Citation Details In-Document Search Title: ENERGY PARTITIONING, ENERGY...

  17. Lower-Energy Energy Storage System (LEESS) Component Evaluation...

    Office of Scientific and Technical Information (OSTI)

    Lower-Energy Energy Storage System (LEESS) Component Evaluation Citation Details In-Document Search Title: Lower-Energy Energy Storage System (LEESS) Component Evaluation Alternate ...

  18. Lower-Energy Energy Storage System (LEESS) Component Evaluation...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Lower-Energy Energy Storage System (LEESS) Component Evaluation Citation Details In-Document Search Title: Lower-Energy Energy Storage System (LEESS) Component ...

  19. Detailed model for practical pulverized coal furnaces and gasifiers

    SciTech Connect (OSTI)

    Philips, S.D.; Smoot, L.D.

    1989-08-01

    The need to improve efficiency and reduce pollutant emissions commercial furnaces has prompted energy companies to search for optimized operating conditions and improved designs in their fossil-fuel burning facilities. Historically, companies have relied on the use of empirical correlations and pilot-plant data to make decisions about operating conditions and design changes. The high cost of collecting data makes obtaining large amounts of data infeasible. The main objective of the data book is to provide a single source of detailed three-dimensional combustion and combustion-related data suitable for comprehensive combustion model evaluation. Five tasks were identified as requirements to achieve the main objective. First, identify the types of data needed to evaluate comprehensive combustion models, and establish criteria for selecting the data. Second, identify and document available three-dimensional combustion data related to pulverized coal combustion. Third, collect and evaluate three-dimensional data cases, and select suitable cases based on selection criteria. Fourth, organize the data sets into an easy-to-use format. Fifth, evaluate and interpret the nature and quality of the data base. 39 refs., 15 figs., 14 tabs.

  20. The Global Energy Challenge (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    New routes are needed for the efficient conversion of energy from chemical fuel, sunlight, and heat to electricity or hydrogen as an energy carrier and finally to end uses...

  1. Buildings and Energy in the 1980's (TABLES)

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

    sum to totals. * See "Glossary" for definition of terms used in this report. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-788 of the...

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

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

    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

  3. Bottom-Up Energy Analysis System - Methodology and Results

    SciTech Connect (OSTI)

    McNeil, Michael A.; Letschert, Virginie E.; Stephane, de la Rue du Can; Ke, Jing

    2012-06-15

    The main objective of the development of BUENAS is to provide a global model with sufficient detail and accuracy for technical assessment of policy measures such as energy efficiency standards and labeling (EES&L) programs. In most countries where energy efficiency policies exist, the initial emphasis is on household appliances and lighting. Often, equipment used in commercial buildings, particularly heating, air conditioning and ventilation (HVAC) is also covered by EES&L programs. In the industrial sector, standards and labeling generally covers electric motors and distribution transformers, although a few more types of industrial equipment are covered by some programs, and there is a trend toward including more of them. In order to make a comprehensive estimate of the total potential impacts, development of the model prioritized coverage of as many end uses commonly targeted by EES&L programs as possible, for as many countries as possible.

  4. Energy

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

    national energy security by developing energy sources with limited impacts on environment improving efficiency and reliability of nation's energy infrastructure Research...

  5. Healthcare Energy: Massachusetts General Hospital Gray Building

    Broader source: Energy.gov [DOE]

    The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. This page contains highlights from monitoring at the Gray Building at Massachusetts General Hospital.

  6. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    15 Section 7. Total Energy T O T A L E N E R G Y The preceding sections of this documentation describe how the U. S. Energy Information Administration (EIA) arrives at state end-use consumption estimates by individual energy source in the State Energy Data System (SEDS). This section describes how all energy sources are added in Btu to create total energy consumption and end-use consumption estimates. Total Energy Consumption Total energy consumption by state is defined in SEDS as the sum of all

  7. Two Studies Reveal Details of Lithium-Battery Function

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

    Two Studies Reveal Details of Lithium-Battery Function Print Our way of life is deeply intertwined with battery technologies that have enabled a mobile revolution powering cell...

  8. Detailed Assessment of Particulate Characteristics from Low-Temperatur...

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

    Detailed Assessment of Particulate Characteristics from Low-Temperature Combustion Engines ... Program Annual Merit Review and Peer Evaluation Meeting PDF icon ...

  9. Overview of Detailed Chemical Speciation and Particle Sizing...

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

    Diesel Exhaust, Both Real Time and Filter Based Measurements Overview of Detailed Chemical Speciation and Particle Sizing for Diesel Exhaust, Both Real Time and Filter Based ...

  10. ARM-UAV TWP-ICE Payload Instrumentation Details

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

    Payload Instrumentation Details McCoy, Robert Sandia National Laboratories Tooman, Tim Sandia National Laboratories McFarquhar, Greg University of Illinois Category: Field...

  11. Residential Windows and Window Coverings: A Detailed View of...

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

    View of the Installed Base and User Behavior Residential Windows and Window Coverings: A Detailed View of the Installed Base and User Behavior Includes information about the ...

  12. Ribosome research in atomic detail offers potential insights...

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

    Ribosome research offers potential insights into cancer Ribosome research in atomic detail offers potential insights into cancer, anemia, Alzheimer's A groundbreaking study of the...

  13. Toward the Holy Grail of Perfect Information: Lessons Learned Implementing an Energy Information System in a Commercial Building

    SciTech Connect (OSTI)

    Kircher, Kevin; Ghatikar, Girish; Greenberg, Steve; Watson, Dave; Diamond, Rick; Sartor, Dale; Federspiel, Cliff; McEachern, Alex; Owen, Tom

    2010-05-14

    Energy information systems (real-time acquisition, analysis, and presentation of information from energy end-uses) in commercial buildings have demonstrated value as tools for improving energy efficiency and thermal comfort. These improvements include characterization through benchmarking, identification of retrofit opportunities, anomaly detection to inform retro-commissioning, and feedback to occupants to encourage shifts in behavior. Energy information systems can play a vital role in achieving a variety of ambitious sustainability goals for the existing stock of commercial buildings, but their implementation is often fraught with pitfalls. In this paper, we present a case study of an EIS and sub-metering project executed in a representative commercial office building. We describe the building, highlight a few of its problems, and detail the hardware and software technologies we employed to address them. We summarize the difficulties encountered and lessons learned, and suggest general guidelines for future EIS projects to improve performance and save energy in the commercial building fleet. These guidelines include measurement criteria, monitoring strategies, and analysis methods. In particular, we propose processes for: - Defining project goals, - Selecting end-use targets and depth of metering, - Selecting contractors and software vendors, - Installing and networking measurement devices, - Commissioning and using the energy information system.

  14. ENERGY

    Office of Environmental Management (EM)

    U.S. Department of ENERGY Department of Energy Quadrennial Technology Review-2015 Framing Document http://energy.gov/qtr 2015-01-13 Page 2 The United States faces serious energy-linked challenges as well as substantial energy opportunities. Disruptions, both natural and man-made, threaten our aging energy infrastructure; global patterns of energy use are changing our climate; and our nation's dependence on foreign sources of energy comes at a significant cost to our economy. We need clean,

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

    SciTech Connect (OSTI)

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

    2004-09-25

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

  16. Implications of Model Structure and Detail for Utility Planning: Scenario Case Studies Using the Resource Planning Model

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

    Implications of Model Structure and Detail for Utility Planning: Scenario Case Studies Using the Resource Planning Model Trieu Mai, Clayton Barrows, Anthony Lopez, Elaine Hale, Mark Dyson, and Kelly Eurek National Renewable Energy Laboratory Technical Report NREL/TP-6A20-63972 April 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the

  17. Patent: In-line stirling energy system | DOEpatents

    Office of Scientific and Technical Information (OSTI)

    In-line stirling energy system Citation Details Title: In-line stirling energy system

  18. Patent: MEMS based pyroelectric thermal energy harvester | DOEpatents

    Office of Scientific and Technical Information (OSTI)

    MEMS based pyroelectric thermal energy harvester Citation Details Title: MEMS based pyroelectric thermal energy harvester

  19. Energy

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

    Energy /newsroom/_assets/images/energy-icon.png Energy Research into alternative forms of energy, and improving and securing the power grid, is a major national security imperative. Health Space Computing Energy Earth Materials Science Technology The Lab All The Grid Modernization Initiative represents a comprehensive DOE effort to help shape the future of our nation's grid and solve the challenges of integrating conventional and renewable sources with energy storage and smart buildings. Los

  20. Guidance for Filling Out a Detailed H2A Production Case Study

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

    Filling Out a Detailed H2A Production Case Study 9 July 2013 Brian D. James Jennie M. Moton Whitney G. Colella The H2A Production Model described in this presentation was developed with support from the Fuel Cell Technologies Office (FCTO) within the Office of Energy Efficiency & Renewable Energy (EERE), US Department of Energy. 2 Outline and Purpose  Explanation of H2A model capabilities, including comparing hydrogen (H 2 ) generation technologies and charting progress.  As part of a

  1. 1999 Commercial Buildings Characteristics--Detailed Tables--Conservati...

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

    as rowstubs in most detailed tables. Total buildings, total floorspace, and average building size for these categories are shown in Table B1. The PDF and spreadsheet data tables...

  2. Detailed Planning Kicks Off | OpenEI Community

    Open Energy Info (EERE)

    Detailed Planning Kicks Off Home > Groups > Linked Open Data Workshop in Washington, D.C. Jweers's picture Submitted by Jweers(88) Contributor 27 September, 2012 - 06:53 planning...

  3. Results of Detailed Hydrologic Characterization Tests - Fiscal Year 2000

    SciTech Connect (OSTI)

    Spane, Frank A.; Thorne, Paul D.; Newcomer, Darrell R.

    2001-05-15

    This report provides the resluts of detailed hydrologic characterization tests conducted within eleven Hanford Site wells during fiscal year 2000. Detailed characterization tests performed included groundwater-flow characterization; barometric response evaluation; slug tests; single-well tracer tests; constant-rate pumping tests; and in-well, vertical flow tests. Hydraulic property estimates obtained from the detailed hydrologic tests include transmissivity; hydraulic conductivity; specific yield; effective porosity; in-well, lateral flow velocity; aquifer-flow velocity; vertical distribution of hydraulic conductivity (within the well-screen section); and in-well, verticla flow velocity. In addition, local groundwater-flow characteristics (i.e., hydraulic gradient and flow direction) were determined for four sites where detailed well testing was performed.

  4. Results of Detailed Hydrologic Characterization Tests - Fiscal Year 1999

    SciTech Connect (OSTI)

    Spane, Frank A.; Thorne, Paul D.; Newcomer, Darrell R.

    2001-01-19

    This report provides the results of detailed hydrologic characterization tests conducted within newly constructed Hanford Site wells during FY 1999. Detailed characterization tests performed during FY 1999 included: groundwater flow characterization, barometric response evaluation, slug tests, single-well tracer tests, constant-rate pumping tests, and in-well vertical flow tests. Hydraulic property estimates obtained from the detailed hydrologic tests include: transmissivity, hydraulic conductivity, specific yield, effective porosity, in-well lateral flow velocity, aquifer flow velocity, vertical distribution of hydraulic conductivity (within the well-screen section) and in-well vertical flow velocity. In addition, local groundwater flow characteristics (i.e., hydraulic gradient and flow direction) were determined for four sites where detailed well testing was performed.

  5. Trends in Commercial Buildings--District Heat Detail

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

    confidence ranges. If you have trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial...

  6. Trends in Commercial Buildings--Buildings Trend Detail

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

    Center at (202) 586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey Figure 2. 1989 to 1999 building trend with 95% confidence ranges...

  7. Trends in Commercial Buildings--Primary Electricity Detail

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

    confidence ranges. If you have trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial...

  8. Trends in Commercial Buildings--Natural Gas Detail

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

    confidence ranges. If you have trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial...

  9. Trends in Commercial Buildings--Site Electricity Detail

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

    confidence ranges. If you have trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial...

  10. Trends in Commercial Buildings--Detailed Buildings and Floorspace...

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

    ** estimates adjusted to match the 1995 CBECS definition of target population Energy Information Administration Commercial Buildings Energy Consumption Survey Table 2....

  11. Trends in Commercial Buildings--Fuel Oil Detail

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

    confidence ranges. If you have trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial...

  12. Details of the FY 2013 Congressional Budget Request for OE |...

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

    Department of Energy: Supports groundbreaking basic science, research and innovation to solve our energy challenges; Promotes efforts to make solar power affordable for all...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  9. 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...

  10. Alabama Natural Gas Consumption by End Use

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

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

  11. Alaska Natural Gas Consumption by End Use

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

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

  12. Arizona Natural Gas Consumption by End Use

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

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

  13. 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...

  14. Louisiana Natural Gas Consumption by End Use

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

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

  15. Maine Natural Gas Consumption by End Use

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

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

  16. Maryland Natural Gas Consumption by End Use

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

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

  17. Massachusetts Natural Gas Consumption by End Use

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

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

  18. Michigan Natural Gas Consumption by End Use

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

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

  19. Minnesota Natural Gas Consumption by End Use

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

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

  20. Mississippi Natural Gas Consumption by End Use

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

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

  1. Montana Natural Gas Consumption by End Use

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

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

  2. Nebraska Natural Gas Consumption by End Use

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

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

  3. Nevada Natural Gas Consumption by End Use

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

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

  4. Colorado Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Florida Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Georgia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  7. Hawaii Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  8. Idaho Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Illinois Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Indiana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Iowa Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Kansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Kentucky Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Massachusetts Natural Gas Consumption by End Use

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

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

  15. Michigan Natural Gas Consumption by End Use

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

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

  16. Minnesota Natural Gas Consumption by End Use

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

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

  17. Mississippi Natural Gas Consumption by End Use

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

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

  18. Missouri Natural Gas Consumption by End Use

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

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

  19. Montana Natural Gas Consumption by End Use

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

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

  20. Nebraska Natural Gas Consumption by End Use

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

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

  1. Nevada Natural Gas Consumption by End Use

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

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

  2. Ohio Natural Gas Consumption by End Use

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

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

  3. Oklahoma Natural Gas Consumption by End Use

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

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

  4. Oregon Natural Gas Consumption by End Use

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

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

  5. Pennsylvania Natural Gas Consumption by End Use

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

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

  6. Tennessee Natural Gas Consumption by End Use

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

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

  7. Texas Natural Gas Consumption by End Use

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

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

  8. Utah Natural Gas Consumption by End Use

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

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

  9. Vermont Natural Gas Consumption by End Use

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

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

  10. Virginia Natural Gas Consumption by End Use

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

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

  11. Washington Natural Gas Consumption by End Use

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

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

  12. Alabama Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Alaska Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Arizona Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Arkansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  16. California Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Tennessee Natural Gas Consumption by End Use

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

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

  18. Texas Natural Gas Consumption by End Use

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

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

  19. Ohio Natural Gas Consumption by End Use

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

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

  20. Oklahoma Natural Gas Consumption by End Use

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

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

  1. Oregon Natural Gas Consumption by End Use

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

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

  2. Pennsylvania Natural Gas Consumption by End Use

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

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

  3. Wyoming Natural Gas Consumption by End Use

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

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

  4. California Natural Gas Consumption by End Use

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

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

  5. Colorado Natural Gas Consumption by End Use

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

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

  6. Connecticut Natural Gas Consumption by End Use

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

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

  7. Delaware Natural Gas Consumption by End Use

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

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

  8. Florida Natural Gas Consumption by End Use

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

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

  9. Georgia Natural Gas Consumption by End Use

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

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

  10. Hawaii Natural Gas Consumption by End Use

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

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

  11. Idaho Natural Gas Consumption by End Use

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

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

  12. Illinois Natural Gas Consumption by End Use

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

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

  13. Indiana Natural Gas Consumption by End Use

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

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

  14. Iowa Natural Gas Consumption by End Use

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

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

  15. Kansas Natural Gas Consumption by End Use

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

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

  16. Kentucky Natural Gas Consumption by End Use

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

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

  17. Louisiana Natural Gas Consumption by End Use

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

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

  18. Maine Natural Gas Consumption by End Use

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

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

  19. Maryland Natural Gas Consumption by End Use

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

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

  20. Utah Natural Gas Consumption by End Use

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

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

  1. Vermont Natural Gas Consumption by End Use

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

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

  2. Virginia Natural Gas Consumption by End Use

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

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

  3. 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...

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

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

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

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

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

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

  6. ,"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...

  7. ,"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...

  8. ,"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...

  9. ,"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...

  10. ,"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...

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

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

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

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

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

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

  13. ,"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...

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

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

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

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

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

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

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

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

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

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

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

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

  18. ,"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...

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

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

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

  20. ,"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...