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Sample records for table state estimated

  1. FY 2005 State Table

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

    Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Preliminary Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The

  2. FY 2006 State Table

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

    State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or

  3. FY 2007 State Table

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

    state tables preliminary Department of Energy FY 2007 Congressional Budget Request February 2006 Printed with soy ink on recycled paper Office of Chief Financial Officer state tables preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other

  4. FY 2008 State Table

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

    State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer State Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments

  5. FY 2011 State Table

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

    State Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 March 2010 Office of Chief Financial Officer State Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated

  6. FY 2012 State Table

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

    6 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0066 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and

  7. FY 2013 State Table

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

    9 Department of Energy FY 2013 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0079 Department of Energy FY 2013 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and

  8. State Energy Production Estimates

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

    Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052 351,259...

  9. State Energy Production Estimates

    Gasoline and Diesel Fuel Update (EIA)

    Production Estimates 1960 Through 2014 2014 Summary Tables U.S. Energy Information Administration | State Energy Data 2014: Production 1 Table P1. Energy Production Estimates in Physical Units, 2014 Alabama 16,377 181,054 9,828 0 Alaska 1,502 345,331 181,175 0 Arizona 8,051 106 56 1,044 Arkansas 94 1,123,678 6,845 0 California 0 252,718 204,269 4,462 Colorado 24,007 1,631,391 95,192 3,133 Connecticut 0 0 0 0 Delaware 0 0 0 0 District of Columbia 0 0 0 0 Florida 0 369 2,227 0 Georgia 0 0 0 2,517

  10. Qualified Energy Conservation Bond State-by-State Summary Tables

    Broader source: Energy.gov [DOE]

    Provides a list of qualified energy conservation bond state summary tables. Author: Energy Programs Consortium

  11. FY 2014 Budget Request State Table | Department of Energy

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

    State Table FY 2014 Budget Request State Table State Table FY2014.pdf (279.32 KB) More Documents & Publications FY 2014 Budget Request Laboratory Table FY 2007 Congressional Budget Request FY 2007 Congressional

  12. All Consumption Tables.vp

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

    4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004...

  13. February 2016 Office of Chief Financial Officer State Tables

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

    State Tables Preliminary Department of Energy FY 2017 Congressional Budget Request DOE/CF-0127 February 2016 Office of Chief Financial Officer State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other

  14. Grid State Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2014-10-09

    This software code is designed to track generator state variables in real time using the Ensemble Kalman Filter method with the aid of PMU measurements. This code can also be used to calibrate dynamic model parameters by augmenting parameters in the state variable vector.

  15. Table 1.3 Primary Energy Consumption Estimates by Source, 1949...

    Gasoline and Diesel Fuel Update (EIA)

    ... hydroelectric power, geothermal, solar thermal, photovoltaic, and wind. ... Notes: * See "Primary Energy Consumption" in Glossary. * See Table E1 for estimated energy consumption ...

  16. State Energy Data System CSV File Documentation Price and Expenditure Estimates

    Gasoline and Diesel Fuel Update (EIA)

    State Energy Data System CSV File Documentation Price and Expenditure Estimates The State Energy Data System (SEDS) comma-separated value (CSV) fles contain the price and expenditure esti- mates shown in the tables located on the SEDS website. There are three fles that contain estimates for all states and years. Prices contains the price estimates for all states and Expenditures contains the expenditure estimates for all states. The third fle, Adjusted Consumption for Ex- penditure Calculations

  17. Opal equation-of-state tables for astrophysical applications

    SciTech Connect (OSTI)

    Rogers, F.J.; Swenson, F.J.; Iglesias, C.A.

    1996-01-01

    OPAL opacities have recently helped to resolve a number of long-standing discrepancies between theory and observation. This success has made it important to provide the associated equation-of-state (EOS) data. The OPAL EOS is based on an activity expansion of the grand canonical partition function of the plasma in terms of its fundamental constituents (electrons and nuclei). The formation of composite particles and many-body effects on the internal bound states occur naturally in this approach. Hence, pressure ionization is a consequence of the theory. In contrast, commonly used approaches, all of which are based on minimization of free energy, are forced to assert the effect of the plasma on composite particles and must rely on an ad hoc treatment of pressure ionization. Another advantage of the OPAL approach is that it provides a systematic expansion in the Coulomb coupling parameter that includes subtle quantum effects generally not considered in other EOS calculations. Tables have been generated that provide pressure, internal energy, entropy, and a variety of derivative quantities. These tables cover a fairly broad range of conditions and compositions applicable to general stellar-evolution calculations for stars more massive than {approximately}0.8 {ital M}{sub {circle_dot}}. An interpolation code is provided along with the tables to facilitate their use. {copyright} {ital 1996 The American Astronomical Society.}

  18. Table 4. Estimation Results for PAD District Regions

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

    Estimation Results for PAD District Regions Dependent Variable: D(RETPAD1) Dependent Variable: D(RETPAD2) Dependent Variable: D(RETPAD3) Dependent Variable: D(RETPAD4) Dependent...

  19. State Energy Price and Expenditure Estimates

    Reports and Publications (EIA)

    2016-01-01

    Energy price and expenditure estimates in dollars per million Btu and in million dollars, by state, 1970-2014.

  20. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    United States" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",3425770,3537968,3625314,4890928,5468885,6100901,8103586,9247549,9774485,10470741,10402086,10679025,10787045,10918087,11761081,12624901,13241327,13459993,13019310,12332252,14768599,15258782,15498937,15696398,15741783 "Natural

  1. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 245 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  2. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    Information AdministrationPetroleum Marketing Annual 1998 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  3. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  4. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  5. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  6. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  7. Parallel State Estimation Assessment with Practical Data

    SciTech Connect (OSTI)

    Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

    2014-10-31

    This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.

  8. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  9. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    55.1 47.1 W W 55.1 46.2 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  10. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    45.5 49.2 W W 44.5 45.4 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  11. Sub-Second Parallel State Estimation

    SciTech Connect (OSTI)

    Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu

    2014-10-31

    This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days’ worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than today’s commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimator’s single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators’ actions and automated controls to mitigate effects

  12. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  13. Estimated Water Flows in 2005: United States

    SciTech Connect (OSTI)

    Smith, C A; Belles, R D; Simon, A J

    2011-03-16

    Flow charts depicting water use in the United States have been constructed from publicly available data and estimates of water use patterns. Approximately 410,500 million gallons per day of water are managed throughout the United States for use in farming, power production, residential, commercial, and industrial applications. Water is obtained from four major resource classes: fresh surface-water, saline (ocean) surface-water, fresh groundwater and saline (brackish) groundwater. Water that is not consumed or evaporated during its use is returned to surface bodies of water. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states in addition to Puerto Rico and the Virgin Islands) and one national water flow chart representing a comprehensive systems view of national water resources, use, and disposition.

  14. Estimated United States Transportation Energy Use 2005

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-11-09

    A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

  15. First-principles equation-of-state table of deuterium for inertial confinement fusion applications

    SciTech Connect (OSTI)

    Hu, S. X.; Goncharov, V. N.; Skupsky, S.; Militzer, B.

    2011-12-01

    Understanding and designing inertial confinement fusion (ICF) implosions through radiation-hydrodynamics simulations relies on the accurate knowledge of the equation of state (EOS) of the deuterium and tritium fuels. To minimize the drive energy for ignition, the imploding shell of DT fuel must be kept as cold as possible. Such low-adiabat ICF implosions can access to coupled and degenerate plasma conditions, in which the analytical EOS models become inaccurate due to many-body effects. Using the path-integral Monte Carlo (PIMC) simulations we have derived a first-principles EOS (FPEOS) table of deuterium that covers typical ICF fuel conditions at densities ranging from 0.002 to 1596 g/cm{sup 3} and temperatures of 1.35 eV to 5.5 keV. We report the internal energy and the pressure and discuss the structure of the plasma in terms of pair-correlation functions. When compared with the widely used SESAME table and the revised Kerley03 table, discrepancies in the internal energy and in the pressure are identified for moderately coupled and degenerate plasma conditions. In contrast to the SESAME table, the revised Kerley03 table is in better agreement with our FPEOS results over a wide range of densities and temperatures. Although subtle differences still exist for lower temperatures (T < 10 eV) and moderate densities (1 to 10 g/cm{sup 3}), hydrodynamics simulations of cryogenic ICF implosions using the FPEOS table and the Kerley03 table have resulted in similar results for the peak density, areal density ({rho}R), and neutron yield, which differ significantly from the SESAME simulations.

  16. Table 17. Estimated natural gas plant liquids and dry natural gas content of tot

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

    Estimated natural gas plant liquids and dry natural gas content of total natural gas proved reserves, 2014" "million barrels and billion cubic feet" ,"Total Wet Natural Gas Proved Reserves",,,,"Estimated content of proved reserves" " State and Subdivision",,2014,,,"Natural Gas Plant Liquids",,"Dry Natural Gas" ,,"billion cubic feet",,,"million barrels",,"billion cubic feet"

  17. 5He General Tables

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

    He General Table The General Table for 5He is subdivided into the following categories: Ground State Properties Theoretical Special States Model Discussions Shell Model Cluster...

  18. 6He General Tables

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

    He General Table The General Table for 6He is subdivided into the following categories: Ground State Properties Theoretical Special States Shell Model Cluster and alpha-particle...

  19. Table 1. Summary statistics for natural gas in the United States, 2010-2014

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

    Table 1. Summary statistics for natural gas in the United States, 2010-2014 See footnotes at end of table. Number of Wells Producing at End of Year 487,627 514,637 482,822 R 484,994 514,786 Production (million cubic feet) Gross Withdrawals From Gas Wells 13,247,498 12,291,070 12,504,227 R 10,759,545 10,384,119 From Oil Wells 5,834,703 5,907,919 4,965,833 R 5,404,699 5,922,088 From Coalbed Wells 1,916,762 1,779,055 1,539,395 R 1,425,783 1,285,189 From Shale Gas Wells 5,817,122 8,500,983

  20. A = 10 General Tables

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

    Table for 10He is subdivided into the following categories: Theoretical Shell Model Cluster Model Other Models Special States Electromagnetic Transitions The General Table for...

  1. 10He General Tables

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

    General Table The General Table for 10He is subdivided into the following categories: Theoretical Shell Model Cluster Model Other Models Special States Electromagnetic Transitions...

  2. Table 3. Estimation Results for National and Sub-PAD District...

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

    Estimation Results for National and Sub-PAD District Regions Dependent Variable: D(RETUS) Dependent Variable: D(RETPAD1X) Dependent Variable: D(RETPAD1Y) Dependent Variable:...

  3. 6Li General Tables

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

    Li General Table The General Table for 6Li is subdivided into the following categories: Ground State Properties of 6Li Special States Theoretical Shell Model Cluster Models Complex...

  4. Table 1. Updated estimates of power plant capital and operating costs

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

    Updated estimates of power plant capital and operating costs" ,"Plant Characteristics",,,"Plant Costs (2012$)" ,"Nominal Capacity (MW)","Heat Rate (Btu/kWh)",,"Overnight Capital Cost ($/kW)","Fixed O&M Cost ($/kW-yr)","Variable O&M Cost ($/MWh)" ,,,,,,,"NEMS Input" " Coal" "Single Unit Advanced PC",650,8800,,3246,37.8,4.47,"N" "Dual Unit Advanced

  5. Table 3.5 Consumer Expenditure Estimates for Energy by Source, 1970-2010 (Million Dollars )

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

    Consumer Expenditure Estimates for Energy by Source, 1970-2010 (Million Dollars 1) Year Primary Energy 2 Electric Power Sector 11,12 Retail Electricity 13 Total Energy 10,14 Coal Coal Coke Net Imports 3 Natural Gas 4 Petroleum Nuclear Fuel Biomass 9 Total 10 Distillate Fuel Oil Jet Fuel 5 LPG 6 Motor Gasoline 7 Residual Fuel Oil Other 8 Total 1970 4,630 -75 10,891 6,253 1,441 2,395 31,596 2,046 4,172 47,904 44 438 63,872 -4,357 23,345 82,860 1971 4,902 -40 12,065 6,890 1,582 2,483 33,478 2,933

  6. A Testbed for Deploying Distributed State Estimation in Power Grid

    SciTech Connect (OSTI)

    Jin, Shuangshuang; Chen, Yousu; Rice, Mark J.; Liu, Yan; Gorton, Ian

    2012-07-22

    Abstract—With the increasing demand, scale and data information of power systems, fast distributed applications are becoming more important in power system operation and control. This paper proposes a testbed for evaluating power system distributed applications, considering data exchange among distributed areas. A high-performance computing (HPC) version of distributed state estimation is implemented and used as a distributed application example. The IEEE 118-bus system is used to deploy the parallel distributed state estimation, and the MeDICi middleware is used for data communication. The performance of the testbed demonstrates its capability to evaluate parallel distributed state estimation by leveraging the HPC paradigm. This testbed can also be applied to evaluate other distributed applications.

  7. A = 9 General Tables

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

    The General Table for 9Li is subdivided into the following categories: Shell Model Cluster Model Theoretical Ground State Properties Special States Other Model Calculations...

  8. 5Li General Tables

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

    Table for 5Li is subdivided into the folowing categories: Ground State Properties Cluster Model Shell Model Special States Model Calculations Model Discussions Complex...

  9. 8Be General Tables

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

    Be General Tables The General Table for 8Be is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Models Photodisintegration Fission and Fusion Astrophysical b-decay Hypernuclei

  10. 8He General Tables

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

    He General Tables The General Table for 8He is subdivided into the following categories: Reviews Ground-state Properties Shell Model Cluster Model Other Theoretical Work Elastic and Inelastic Scattering b-decay

  11. Sub-Second Parallel State Estimation (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Sub-Second Parallel State Estimation Citation Details In-Document Search Title: Sub-Second Parallel State Estimation This report describes the performance of ...

  12. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate...

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

    Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water ...

  13. Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2010-2014

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

    8 Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2010-2014 See footnotes at end of table. Number of Wells Producing at End of Year 487,627 514,637 482,822 R 484,994 514,786 Production (million cubic meters) Gross Withdrawals From Gas Wells 375,127 348,044 354,080 R 304,676 294,045 From Oil Wells 165,220 167,294 140,617 R 153,044 167,695 From Coalbed Wells 54,277 50,377 43,591 R 40,374 36,392 From Shale Gas Wells 164,723 240,721 298,257 R 337,891 389,474

  14. Estimated Carbon Dioxide Emissions in 2008: United States

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-04-01

    Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary

  15. Table 8.6a Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Total (All Sectors), 1989-2011 (Sum of Tables 8.6b and 8.6c)

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

    a Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Total (All Sectors), 1989-2011 (Sum of Tables 8.6b and 8.6c) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu 1989 16,509,639 1,410,151 16,356,550 353,000 247,409 19,356,746

  16. Table 8.6b Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Electric Power Sector, 1989-2011 (Subset of Table 8.6a)

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

    b Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Electric Power Sector, 1989-2011 (Subset of Table 8.6a) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu 1989 638,798 119,640 1,471,031 762 – 1,591,433 81,669,945 2,804 24,182 5,687

  17. Table 8.6c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a)

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

    c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu Commercial Sector 11<//td> 1989 711,212 202,091 600,653 – –

  18. 10N General Tables

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

    subdivided into the following categories: Reviews Ground-State Properties Shell Model Cluster Model Other Theoretical Work These General Tables correspond to "Energy Levels of...

  19. Table 4. 2011 State energy-related carbon dioxide emission shares...

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

    2011 State energy-related carbon dioxide emission shares by sector " "percent of total" ,"shares" "State","Commercial","Electric Power","Residential","Industrial","Transportation"...

  20. Table 2. 2011 State energy-related carbon dioxide emissions by...

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

    2011 State energy-related carbon dioxide emissions by fuel " ,"million metric tons of carbon dioxide",,,,,"shares" "State","Coal","Petroleum","Natural Gas ","Total",,"Coal","Petrol...

  1. Table 3. 2011 State energy-related carbon dioxide emissions by...

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

    2011 State energy-related carbon dioxide emissions by sector " "million metric tons of carbon dioxide" "State","Commercial","Electric Power","Residential","Industrial","Transportat...

  2. Table 1. State energy-related carbon dioxide emissions by year...

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

    State energy-related carbon dioxide emissions by year (2000-2011)" "million metric tons of carbon dioxide" ,,,"Change" ,,,"2000 to 2011" "State",2000,2001,2002,...

  3. Estimated United States Residential Energy Use in 2005

    SciTech Connect (OSTI)

    Smith, C A; Johnson, D M; Simon, A J; Belles, R D

    2011-12-12

    A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

  4. 10Li General Tables

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

    Li General Table The General Table for 10Li is subdivided into the following categories: Reviews Theoretical Ground State Properties Shell Model Cluster Model Other Models Special States Astrophysical Electromagnetic Transitions Hypernuclei Photodisintegration Light-Ion and Neutron Induced Reactions These General Tables correspond to the 2003 preliminary evaluation of ``Energy Levels of Light Nuclei, A = 10''. The prepublication version of A = 10 is available on this website in PDF format: A =

  5. Table 7

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

    1 Table 7 Created on: 8/29/2016 8:24:42 AM Table 7. Marketed production of natural gas in selected states and the Federal Gulf of Mexico, 2011-2016 (million cubic feet) Year and Month Alaska Arkansas California Colorado Kansas Louisiana Montana New Mexico North Dakota Ohio 2011 Total 356,225 1,072,212 250,177 1,637,576 309,124 3,029,206 74,624 1,237,303 97,102 78,858 2012 Total 351,259 1,146,168 246,822 1,709,376 296,299 2,955,437 66,954 1,215,773 172,242 84,482 2013 Total 338,182 1,139,654

  6. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration

    SciTech Connect (OSTI)

    Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

    2013-12-31

    This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based

  7. 9Li General Tables

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

    Li General Table The General Table for 9Li is subdivided into the following categories: Shell Model Cluster Model Theoretical Ground State Properties Special States Other Model Calculations Complex Reactions Beta-Decay Pions Muons Photodisintegration Elastic and Inelastic Scattering Electromagnetic Transitions Astrophysical

  8. Table 8. Carbon intensity of the economy by State (2000-2011

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

    Carbon intensity of the economy by State (2000-2011)" "metric tons energy-related carbon dioxide per million dollars of GDP" ,,,"Change" ,,,"2000 to 2011"...

  9. Table 7. Carbon intensity of the energy supply by State (2000...

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

    Carbon intensity of the energy supply by State (2000-2011)" "kilograms of energy-related carbon dioxide per million Btu" ,,,"Change" ,,,"2000 to 2011"...

  10. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using

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

    Water Electrolysis | Department of Energy Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis This is an independent review of the estimated 2009 state-of-the-art cost of producing hydrogen from both alkaline and PEM water electrolyzers for distributed and central production. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water

  11. Table 12. Interstate movements and movements across U.S. borders of natural gas by state, 2014

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

    6 Table 12. Interstate movements and movements across U.S. borders of natural gas by state, 2014 (million cubic feet) Alaska Japan 0 13,310 -13,310 Total 0 13,310 -13,310 Alabama Florida 0 1,197,957 -1,197,957 Georgia 0 1,470,014 -1,470,014 Gulf of Mexico 127,282 0 127,282 Mississippi 3,107,219 84,847 3,022,372 New Jersey 0 105 -105 Ohio 1 0 1 South Carolina 0 79 -79 Tennessee 135,442 2,404 133,038 Total 3,369,944 2,755,405 614,539 Arizona California 19,434 986,896 -967,463 Mexico 3,762 64,692

  12. Table 16. Natural gas delivered to consumers by sector, 2010-2014, and by state and sector, 2014

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

    1 Table 16. Natural gas delivered to consumers by sector, 2010-2014, and by state and sector, 2014 2010 Total 4,782,412 65,542,345 3,102,593 5,301,576 6,826,192 192,730 2011 Total 4,713,777 65,940,522 3,155,319 5,319,817 6,994,120 189,301 2012 Total 4,149,519 66,375,134 2,894,926 5,356,397 7,226,215 189,372 2013 Total R 4,897,372 R 66,812,393 R 3,295,301 R 5,372,522 R 7,425,452 R 192,288 2014 Total 5,087,314 67,227,762 3,466,600 5,418,986 7,623,826 192,135 Alabama 38,971 769,418 27,515 67,806

  13. Precision Flow Table | Open Energy Information

    Open Energy Info (EERE)

    Table Jump to: navigation, search Basic Specifications Facility Name Flow Table Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility...

  14. Sub-second State Estimation Implementation and its Evaluation with Real Data

    SciTech Connect (OSTI)

    Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Huang, Zhenyu

    2015-07-31

    This paper describes the performance of a parallel state estimation (PSE) tool implemented using advanced computing techniques. The developed code is able to solve state estimation of large-size, practical power systems within one second. Benchmark tests against a commercial tool shows that the computational speed is 10 times faster. Benefits brought by the sub-second state estimation are also discussed.

  15. MECS 1991 Publications and Tables

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

    Capability To Switch Fuels Appendices Appendix A. Detailed Tables Appendix B. Survey Design, Implementation, and Estimates (file size 141,211 bytes) pages: 22. Appendix C....

  16. 7Li General Tables

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

    Li General Table The General Table for 7Li is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Theoretical Work Model Calculations Photodisintegration Polarization Fission and Fusion Elastic and Inelastic Scattering Projectile Fragmentation and Multifragmentation Astrophysical Hyperfine Structure b-decay Muons Hypernuclei and Mesons Hypernuclei and Baryons Pion, Kaon and Eta-Mesons Other Work Applications

  17. 8B General Tables

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

    B General Tables The General Table for 8B is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Models Photodisintegration and Coulomb Dissociation Elastic and Inelastic Scattering Fragmentation Reactions Astrophysical b Decay Nucleon Spatial Distribution

  18. 8Li General Tables

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

    Li General Tables The General Table for 8Li is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Models Photodissociation Fusion and Fission Elastic and Inelastic Scattering Fragmentation Reactions Astrophysical b Decay Hypernuclei Pions, Kaons and h-mesons

  19. Table 9. U.S. photovoltaic module shipments by state/territory, 2014 (peak kilow

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

    photovoltaic module shipments by state/territory, 2014 (peak kilowatts)" "State","Total","Percent of U.S. total" "Alabama",482,0 "Alaska",81,0 "Arizona",194476,0.033 "Arkansas",336,0 "California",3163120,0.53 "Colorado",47240,0.008 "Connecticut",50745,0.009 "Delaware",6600,0.001 "District of Columbia",751,0 "Florida",18593,0.003 "Georgia",47660,0.008

  20. Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005

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

    0 Home Appliances Usage Indicators by Four Most Populated States, 2005 Total.................................................................................... 111.1 7.1 7.0 8.0 12.1 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 0.6 0.5 0.8 1.4 2 Times A Day.............................................................. 24.6 1.4 1.5 2.0 3.1 Once a Day...................................................................

  1. FY 2014 Budget Request Laboratory Table | Department of Energy

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

    Laboratory Table FY 2014 Budget Request Laboratory Table Lab Table FY2014.pdf (235.54 KB) More Documents & Publications FY 2014 Budget Request State Table Fiscal Year 2013 President's Budget Request Fiscal Year 2013 President's

  2. Microsoft Word - table_15.doc

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

    0 Table 15. Consumption of natural gas by state, 2010-2014 (million cubic feet) a Lease fuel quantities were estimated by assuming that the proportions of onsystem production used as lease fuel by respondents to the Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," were the same as the proportions of gross withdrawals as reported on Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report," used as lease by all operators.

  3. FY 2010 State Table

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

    44,159 Nebraska 67 496,823 645,396 746,341 Nevada 71 2,857 4,554 4,044 New Hampshire 72 98,735 104,708 105,845 New Jersey 74 4,000,777 4,268,863 4,485,036 New ...

  4. FY 2009 State Table

    Office of Environmental Management (EM)

    36,892 Nebraska 76 755,880 728,533 722,905 Nevada 80 2,005 4,046 3,566 New Hampshire 81 97,655 102,508 99,574 New Jersey 83 4,227,103 4,536,467 4,375,097 New ...

  5. Table 3.3 Consumer Price Estimates for Energy by Source, 1970-2010 (Dollars per Million Btu)

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

    Consumer Price Estimates for Energy by Source, 1970-2010 (Dollars 1 per Million Btu) Year Primary Energy 2 Electric Power Sector 11,12 Retail Electricity 13 Total Energy 9,10,14 Coal Natural Gas 3 Petroleum Nuclear Fuel Biomass 8 Total 9,10 Distillate Fuel Oil Jet Fuel 4 LPG 5 Motor Gasoline 6 Residual Fuel Oil Other 7 Total 1970 0.38 0.59 1.16 0.73 1.43 2.85 0.42 1.38 1.71 0.18 1.29 1.08 0.32 4.98 1.65 1971 .42 .63 1.22 .77 1.46 2.90 .58 1.45 1.78 .18 1.31 1.15 .38 5.30 1.76 1972 .45 .68 1.22

  6. 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

  7. Integration of remote measurement calibration with state estimation; A feasibility study

    SciTech Connect (OSTI)

    Adibi, M.M. ); Clements, K.A. ); Kafka, R.J. ); Stovall, J.P. )

    1992-08-01

    This paper describes the integration of measurement calibration and state estimation methodologies for increasing the confidence level in the real-time data base. The objectives are to improve performance of state estimators and to reduce the system engineering effort which goes into its installations and the related measurement calibrations.

  8. A Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report surveys and summarizes existing state-level RPS cost and benefit estimates and examines the various methods used to calculate such estimates. The report relies largely upon data or results reported directly by electric utilities and state regulators. As such, the estimated costs and benefits itemized in this document do not result from the application of a standardized approach or the use of a consistent set of underlying assumptions. Because the reported values may differ from those derived through a more consistent analytical treatment, we do not provide an aggregate national estimate of RPS costs and benefits, nor do we attempt to quantify net RPS benefits at national or state levels.

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

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

    2 Table E10. Residential Sector Energy Expenditure Estimates, 2014 (Million Dollars) State Primary Energy Retail Electricity Total Energy e Coal a Natural Gas b Petroleum Biomass ...

  10. CBECS 1992 - Building Characteristics, Detailed Tables

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

    major topics of each table. Directions for calculating an approximate relative standard error (RSE) for each estimate in the tables are presented in Figure A1, "Use of RSE Row...

  11. Load Modeling and State Estimation Methods for Power Distribution Systems: Final Report

    SciTech Connect (OSTI)

    Tom McDermott

    2010-05-07

    The project objective was to provide robust state estimation for distribution systems, comparable to what has been available on transmission systems for decades. This project used an algorithm called Branch Current State Estimation (BCSE), which is more effective than classical methods because it decouples the three phases of a distribution system, and uses branch current instead of node voltage as a state variable, which is a better match to current measurement.

  12. Dynamic State Estimation for Multi-Machine Power System by Unscented Kalman

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

    Filter with Enhanced Numerical Stability | Argonne National Laboratory Dynamic State Estimation for Multi-Machine Power System by Unscented Kalman Filter with Enhanced Numerical Stability Title Dynamic State Estimation for Multi-Machine Power System by Unscented Kalman Filter with Enhanced Numerical Stability Publication Type Journal Article Year of Publication 2016 Authors Qi, J, Sun, K, Wang, J, Liu, H Journal IEEE Transactions on Smart Grid Date Published 06/2016 Keywords dynamic state

  13. Fuel Tables.indd

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

    F4: Fuel ethanol consumption estimates, 2014 State Commercial Industrial Transportation ... a In estimating the Btu consumption of fuel ethanol, the Btu content of denaturant ...

  14. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    F8: Distillate Fuel Oil Price and Expenditure Estimates, 2014 State Prices Expenditures ... Where shown, (s) Expenditure value less than 0.05. Notes: Distillate fuel oil estimates ...

  15. TABLE OF CONTENTS

    National Nuclear Security Administration (NNSA)

    AC05-00OR22800 TABLE OF CONTENTS Contents Page # TOC - i SECTION A - SOLICITATION/OFFER AND AWARD ......................................................................... A-i SECTION B - SUPPLIES OR SERVICES AND PRICES/COSTS ........................................................ B-i B.1 SERVICES BEING ACQUIRED ....................................................................................B-2 B.2 TRANSITION COST, ESTIMATED COST, MAXIMUM AVAILABLE FEE, AND AVAILABLE FEE (Modification 295,

  16. Table 4

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

    112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  17. Table 4

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

    125 43 101 95 99 130 149 8.25 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  18. Table 4

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

    125 69 112 131 137 158 7.36 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  19. Microsoft Word - table_13

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

    U.S. Energy Information Administration | Natural Gas Monthly 33 Table 13 Table 13. Activities of underground natural gas storage operators, by state, June 2016 (volumes in million cubic feet) State Field Count Total Storage Capacity Working Gas Storage Capacity Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Base Gas Working Gas Total Volume Percent Injections Withdrawals Alabama 2 43,600 33,150 10,450 23,615 34,065 3,085

  20. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1997 Table 43....

  1. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1996 Table 43....

  2. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

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

    at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information Administration Petroleum Marketing Annual 1996 Table 31. Motor...

  3. Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards

    SciTech Connect (OSTI)

    Heeter, J.; Barbose, G.; Bird, L.; Weaver, S.; Flores-Espino, F.; Kuskova-Burns, K.; Wiser, R.

    2014-05-01

    Most renewable portfolio standards (RPS) have five or more years of implementation experience, enabling an assessment of their costs and benefits. Understanding RPS costs and benefits is essential for policymakers evaluating existing RPS policies, assessing the need for modifications, and considering new policies. This study provides an overview of methods used to estimate RPS compliance costs and benefits, based on available data and estimates issued by utilities and regulators. Over the 2010-2012 period, average incremental RPS compliance costs in the United States were equivalent to 0.8% of retail electricity rates, although substantial variation exists around this average, both from year-to-year and across states. The methods used by utilities and regulators to estimate incremental compliance costs vary considerably from state to state and a number of states are currently engaged in processes to refine and standardize their approaches to RPS cost calculation. The report finds that state assessments of RPS benefits have most commonly attempted to quantitatively assess avoided emissions and human health benefits, economic development impacts, and wholesale electricity price savings. Compared to the summary of RPS costs, the summary of RPS benefits is more limited, as relatively few states have undertaken detailed benefits estimates, and then only for a few types of potential policy impacts. In some cases, the same impacts may be captured in the assessment of incremental costs. For these reasons, and because methodologies and level of rigor vary widely, direct comparisons between the estimates of benefits and costs are challenging.

  4. Fuel Tables.indd

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

    F6: Lubricants consumption, price, and expenditure estimates, 2014 State Consumption Prices a Expenditures Industrial Transportation Total Industrial Transportation Total ...

  5. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    2: Electricity Price and Expenditure Estimates, 2014 State Prices Expenditures Residential Commercial Industrial Transportation Total Residential Commercial Industrial ...

  6. Fuel Tables.indd

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

    3: Liquefied Petroleum Gases Price and Expenditure Estimates, 2014 State Prices Expenditures Residential Commercial Industrial Transportation Total Residential Commercial ...

  7. Dynamic State Estimation and Parameter Calibration of DFIG based on Ensemble Kalman Filter

    SciTech Connect (OSTI)

    Fan, Rui; Huang, Zhenyu; Wang, Shaobu; Diao, Ruisheng; Meng, Da

    2015-07-30

    With the growing interest in the application of wind energy, doubly fed induction generator (DFIG) plays an essential role in the industry nowadays. To deal with the increasing stochastic variations introduced by intermittent wind resource and responsive loads, dynamic state estimation (DSE) are introduced in any power system associated with DFIGs. However, sometimes this dynamic analysis canould not work because the parameters of DFIGs are not accurate enough. To solve the problem, an ensemble Kalman filter (EnKF) method is proposed for the state estimation and parameter calibration tasks. In this paper, a DFIG is modeled and implemented with the EnKF method. Sensitivity analysis is demonstrated regarding the measurement noise, initial state errors and parameter errors. The results indicate this EnKF method has a robust performance on the state estimation and parameter calibration of DFIGs.

  8. Implementing nonquadratic objective functions for state estimation and bad data rejection

    SciTech Connect (OSTI)

    Baldick, R.; Clements, K.A.; Pinjo-Dzigal, Z.; Davis, P.W.

    1997-02-01

    Using a nonquadratic objective function for network state estimation can combine several estimation and bad data rejection techniques into one algorithm; e.g., the benefits of maximum likelihood least squares estimation can be coupled with the bad data rejection properties of least absolute value estimation. For such estimators, the authors describe an efficient implementation, one that builds naturally on existing least squares software, that is based on an iterative Gauss-Newton solution of the KKT optimality conditions. The authors illustrate the behavior of a quadratic-linear and a quadratic-constant objective function on a set of test networks. The former is closely related to the Huber M-estimator. The latter shows somewhat better bad data rejection properties, perhaps because it arises from a natural model of meter failure.

  9. SEP Program Transition Tables | Department of Energy

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

    Transition Tables SEP Program Transition Tables The Program Transition Tables provide information concerning the level of effort required to move from a traditional, industrial incentive program to Strategic Energy Management, ISO 50001, or SEP. Both the customers' and utility program administrators' perspectives are considered. Utilities and PAs can use these detailed tables to understand and develop estimates of scope, resources, and realistic implementation timelines. View Program Transition

  10. Table 4

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

    10.8 0.3 0.8 1.6 2.0 2.2 4.0 11.94 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  11. Table 4

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

    10.8 0.9 2.9 1.9 2.8 2.3 9.84 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  12. Table 4

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

    0.6 0.8 0.6 1.4 2.3 1.9 2.5 12.69 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  13. Microsoft Word - table_01

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

    U.S. Energy Information Administration | Natural Gas Monthly 3 Table 1 Table 1. Summary of natural gas supply and disposition in the United States, 2011-2016 (billion cubic feet) Year and Month Gross Withdrawals Marketed Production NGPL Production a Dry Gas Production b Supplemental Gaseous Fuels c Net Imports Net Storage Withdrawals d Balancing Item e Consumption f 2011 Total 28,479 24,036 1,134 22,902 60 1,963 -354 -94 24,477 2012 Total 29,542 25,283 1,250 24,033 61 1,519 -9 -66 25,538 2013

  14. Charge state distribution and emission characteristics in a table top reflex discharge - Effect of ion confinement and electrons accelerated across the sheath

    SciTech Connect (OSTI)

    Kumar, Deepak; Englesbe, Alexander; Parman, Matthew; Stutman, Dan; Finkenthal, Michael

    2015-11-05

    Tabletop reflex discharges in a Penning geometry have many applications including ion sources and eXtreme Ultra-Violet (XUV) sources. The presence of primary electrons accelerated across the cathode sheaths is responsible for the distribution of ion charge states and of the unusually high XUV brightness of these plasmas. Absolutely calibrated space resolved XUV spectra from a table top reflex discharge operating with Al cathodes and Ne gas are presented. The spectra are analyzed with a new and complete model for ion charge distribution in similar reflex discharges. The plasma in the discharge was found to have a density of ~1018m–3 with a significant fraction >0.01 of fast primary electrons. As a result, the implications of the new model on the ion states achievable in a tabletop reflex plasma discharge are also discussed.

  15. Charge state distribution and emission characteristics in a table top reflex discharge - Effect of ion confinement and electrons accelerated across the sheath

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

    Kumar, Deepak; Englesbe, Alexander; Parman, Matthew; Stutman, Dan; Finkenthal, Michael

    2015-11-05

    Tabletop reflex discharges in a Penning geometry have many applications including ion sources and eXtreme Ultra-Violet (XUV) sources. The presence of primary electrons accelerated across the cathode sheaths is responsible for the distribution of ion charge states and of the unusually high XUV brightness of these plasmas. Absolutely calibrated space resolved XUV spectra from a table top reflex discharge operating with Al cathodes and Ne gas are presented. The spectra are analyzed with a new and complete model for ion charge distribution in similar reflex discharges. The plasma in the discharge was found to have a density of ~1018m–3 withmore » a significant fraction >0.01 of fast primary electrons. As a result, the implications of the new model on the ion states achievable in a tabletop reflex plasma discharge are also discussed.« less

  16. A = 5 General Tables

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

    5 General Tables The General Table for 5H is subdivided into the following categories: Cluster Model Hypernuclei Model Calculations Photodisintegration Pions The General Table for...

  17. Microsoft Word - table_19.doc

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

    7 Table 19. Natural gas delivered to industrial consumers for the account of others by state, 2010-2014 (volumes in million cubic feet) Alabama 109,031 75.2 117,277 76.5 133,765 ...

  18. Microsoft Word - table_17.doc

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

    4 Table 17. Natural gas delivered to residential consumers for the account of others by state, 2010-2014 (volumes in million cubic feet) Alabama 0 -- 0 -- 0 -- 0 -- 0 -- Alaska 0 ...

  19. A=19 Tables

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

    Tables for A = 19 Available in the following years: (1995), (1987), (1983), (1978), (1972), (1959) Adobe Reader Download Tables from (1995TI07): Introductory Table 3 in PS or PDF. Table 19.1 in PS or PDF. Table 19.2 in PS or PDF. Table 19.3 in PS or PDF. Table 19.4 in PS or PDF. Table 19.5 in PS or PDF. Table 19.6 in PS or PDF. Table 19.7 in PS or PDF. Table 19.8 in PS or PDF. Table 19.9 in PS or PDF. Table 19.10 in PS or PDF. Table 19.11 in PS or PDF. Table 19.12 in PS or PDF. Table 19.13 in PS

  20. A=20 Tables

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

    Tables for A = 20 Available in the following years: (1998), (1987), (1983), (1978), (1972), (1959) Adobe Reader Download Tables from (1998TI06): Introductory Table 3 in PS or PDF. Table 20.1 in PS or PDF. Table 20.2 in PS or PDF. Table 20.3 in PS or PDF. Table 20.4 in PS or PDF. Table 20.5 in PS or PDF. Table 20.6 in PS or PDF. Table 20.7 in PS or PDF. Table 20.8 in PS or PDF. Table 20.9 in PS or PDF. Table 20.10 in PS or PDF. Table 20.11 in PS or PDF. Table 20.12 in PS or PDF. Table 20.13 in PS

  1. 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...

  2. 6Be General Tables

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

    6Be General Table The General Table for 6Be is subdivided into the following categories: Cluster Model Model Calculations...

  3. 8C General Tables

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

    C General Tables The General Table for 8C is subdivided into the following categories: Reviews Other Theoretical Work...

  4. A=18 Tables

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

    (1959) Adobe Reader Download Tables from (1995TI07): Introductory Table 3 in PS or PDF. Table 18.1 in PS or PDF. Table 18.2 in PS or PDF. Table 18.3 in PS or PDF. Table 18.4...

  5. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    4: Other Petroleum Products Consumption, Price, and Expenditure Estimates, 2014 State Consumption Prices Expenditures Thousand Barrels Trillion Btu Dollars per Million Btu Million ...

  6. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    F2: Jet fuel consumption, price, and expenditure estimates, 2014 State Jet fuel a Consumption Prices Expenditures Thousand barrels Trillion Btu Dollars per million Btu Million ...

  7. Fuel Tables.indd

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

    : Asphalt and road oil consumption, price, and expenditure estimates, 2014 State Asphalt and road oil a Consumption Prices Expenditures Thousand barrels Trillion Btu Dollars per ...

  8. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    4: Wood and Biomass Waste Consumption Estimates, 2014 State Wood Wood and Biomass Waste a Residential Commercial Industrial Electric Power Total b Thousand Cords Trillion Btu ...

  9. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    F9: Residual Fuel Oil Consumption Estimates, 2014 State Commercial Industrial Transportation Electric Power Total Commercial Industrial Transportation Electric Power Total Thousand ...

  10. Fuel Tables.indd

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

    7: Coal Consumption Estimates and Imports and Exports of Coal Coke, 2014 State Coal Coal Coke Residential a Commercial Industrial Electric Power Total Residential a Commercial ...

  11. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    0: Natural Gas Price and Expenditure Estimates, 2014 State Prices Expenditures Residential Commercial Industrial Transpor- tation Electric Power Total Residential Commercial ...

  12. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    0: Residual Fuel Oil Price and Expenditure Estimates, 2014 State Prices Expenditures Commercial Industrial Transportation Electric Power Total Commercial Industrial Transportation ...

  13. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    8: Coal Price and Expenditure Estimates and Imports and Exports of Coal Coke, 2014 State Coal Coal Coke Prices Expenditures Prices Expenditures Residential Commercial Industrial ...

  14. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    F5: Aviation gasoline consumption, price, and expenditure estimates, 2014 State Consumption Prices a Expenditures Thousand barrels Trillion Btu Dollars per million Btu Million ...

  15. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    6: Geothermal Energy Consumption Estimates, 2014 State Geothermal Energy Electric Power Residential Commercial Industrial Electric Power Total Million Kilowatthours Trillion Btu ...

  16. Fuel Tables.indd

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

    F30: Total Energy Consumption, Price, and Expenditure Estimates, 2014 State Consumption Prices Expenditures a Residential b Commercial b Industrial b,c Transportation Total c ...

  17. "Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005"

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

    0 Home Appliances Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Home Appliances Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,0.6,0.5,0.8,1.4 "2 Times

  18. "Table HC15.13 Lighting Usage Indicators by Four Most Populated States, 2005"

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

    3 Lighting Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Lighting Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per

  19. "Table HC15.5 Space Heating Usage Indicators by Four Most Populated States, 2005"

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

    5 Space Heating Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Space Heating Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.2 "Have Space Heating

  20. "Table HC15.9 Home Appliances Characteristics by Four Most Populated States, 2005"

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

    9 Home Appliances Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Home Appliances Characteristics",,"New York","Florida","Texas","California" "Total U.S.",111.1,7.1,7,8,12.1 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,7.1,6.9,7.8,11.7

  1. Capturing Dynamics in the Power Grid: Formulation of Dynamic State Estimation through Data Assimilation

    SciTech Connect (OSTI)

    Zhou, Ning; Huang, Zhenyu; Meng, Da; Elbert, Stephen T.; Wang, Shaobu; Diao, Ruisheng

    2014-03-31

    With the increasing complexity resulting from uncertainties and stochastic variations introduced by intermittent renewable energy sources, responsive loads, mobile consumption of plug-in vehicles, and new market designs, more and more dynamic behaviors are observed in everyday power system operation. To operate a power system efficiently and reliably, it is critical to adopt a dynamic paradigm so that effective control actions can be taken in time. The dynamic paradigm needs to include three fundamental components: dynamic state estimation; look-ahead dynamic simulation; and dynamic contingency analysis (Figure 1). These three components answer three basic questions: where the system is; where the system is going; and how secure the system is against accidents. The dynamic state estimation provides a solid cornerstone to support the other 2 components and is the focus of this study.

  2. Integrated State Estimation and Contingency Analysis Software Implementation using High Performance Computing Techniques

    SciTech Connect (OSTI)

    Chen, Yousu; Glaesemann, Kurt R.; Rice, Mark J.; Huang, Zhenyu

    2015-12-31

    Power system simulation tools are traditionally developed in sequential mode and codes are optimized for single core computing only. However, the increasing complexity in the power grid models requires more intensive computation. The traditional simulation tools will soon not be able to meet the grid operation requirements. Therefore, power system simulation tools need to evolve accordingly to provide faster and better results for grid operations. This paper presents an integrated state estimation and contingency analysis software implementation using high performance computing techniques. The software is able to solve large size state estimation problems within one second and achieve a near-linear speedup of 9,800 with 10,000 cores for contingency analysis application. The performance evaluation is presented to show its effectiveness.

  3. Estimation of the Dynamic States of Synchronous Machines Using an Extended Particle Filter

    SciTech Connect (OSTI)

    Zhou, Ning; Meng, Da; Lu, Shuai

    2013-11-11

    In this paper, an extended particle filter (PF) is proposed to estimate the dynamic states of a synchronous machine using phasor measurement unit (PMU) data. A PF propagates the mean and covariance of states via Monte Carlo simulation, is easy to implement, and can be directly applied to a non-linear system with non-Gaussian noise. The extended PF modifies a basic PF to improve robustness. Using Monte Carlo simulations with practical noise and model uncertainty considerations, the extended PFs performance is evaluated and compared with the basic PF and an extended Kalman filter (EKF). The extended PF results showed high accuracy and robustness against measurement and model noise.

  4. Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial

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

    Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results Austin Brown, Philipp Beiter, Donna Heimiller, Carolyn Davidson, Paul Denholm, Jennifer Melius, Anthony Lopez, Dylan Hettinger, David Mulcahy, and Gian Porro Webinar, 02/24/16 Philipp Beiter Energy Markets and Policy Analyst NREL Presenter: 2 PRELIMINARY - NOT FOR DISTRIBUTION, PUBLICATION, QUOTATION, OR CITATION Topics I. U.S. Renewable Energy Trends 1. Capacity and Generation 2. Capacity

  5. Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results

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

    Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results Austin Brown, Philipp Beiter, Donna Heimiller, Carolyn Davidson, Paul Denholm, Jennifer Melius, Anthony Lopez, Dylan Hettinger, David Mulcahy, and Gian Porro Technical Report NREL/TP-6A20-64503 Revised August 2016 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

  6. Report Tables

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

    ... Large site survey with dimensions of 16.5km x 1km with ... 1223.856 1.5.2.8 Electronic control panel box --left ...Liter Estimate) 6 Releif Valves Hydraulic Components Eaton ...

  7. 7He General Tables

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

    He General Table The General Table for 7He is subdivided into the following categories: Experimental Theoretical Model Calculations Hypernuclei and Mesons Pions

  8. 9He General Tables

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

    He General Table The General Table for 9He is subdivided into the following categories: Shell Model Other Model Calculations Theoretical

  9. FY 2005 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration

  10. 5H General Tables

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

    H General Table The General Table for 5H is subdivided into the following categories: Cluster Model Hypernuclei Model Calculations Photodisintegration Pions...

  11. 7Be General Tables

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

    Be General Table The General Table for 7Be is subdivided into the following categories: Reviews Experimental Work Shell Model Cluster Model Other Theoretical Work Model...

  12. 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...

  13. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

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

    Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen Program

  14. TABLE 1

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

    terminating FEHB plans who do not change their health plan by enrolling in another FEHB plan during Open Season will not have health benefits for 2016. State FEHB Plan Name 2015 ...

  15. Microsoft Word - table_A2.doc

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

    195 19 4 Figure A1. Natural gas processing plant capacity in the United States, 2014 2014 Table A2. Natural gas processing plant capacity, by state, 2014 (million cubic feet per ...

  16. Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.

    2012-09-01

    Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.

  17. Estimating Renewable Energy Economic Potential in the United States. Methodology and Initial Results

    SciTech Connect (OSTI)

    Brown, Austin; Beiter, Philipp; Heimiller, Donna; Davidson, Carolyn; Denholm, Paul; Melius, Jennifer; Lopez, Anthony; Hettinger, Dylan; Mulcahy, David; Porro, Gian

    2015-07-30

    This report describes a geospatial analysis method to estimate the economic potential of several renewable resources available for electricity generation in the United States. Economic potential, one measure of renewable generation potential, may be defined in several ways. For example, one definition might be expected revenues (based on local market prices) minus generation costs, considered over the expected lifetime of the generation asset. Another definition might be generation costs relative to a benchmark (e.g., a natural gas combined cycle plant) using assumptions of fuel prices, capital cost, and plant efficiency. Economic potential in this report is defined as the subset of the available resource technical potential where the cost required to generate the electricity (which determines the minimum revenue requirements for development of the resource) is below the revenue available in terms of displaced energy and displaced capacity. The assessment is conducted at a high geospatial resolution (more than 150,000 technology-specific sites in the continental United States) to capture the significant variation in local resource, costs, and revenue potential. This metric can be a useful screening factor for understanding the economic viability of renewable generation technologies at a specific location. In contrast to many common estimates of renewable energy potential, economic potential does not consider market dynamics, customer demand, or most policy drivers that may incent renewable energy generation.

  18. Community Leaders Round Table | Argonne National Laboratory

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

    Community Leaders Round Table The Round Table consists of citizens with regional constituencies, including elected officials on the village, city, township, county and state levels; leaders of school districts, environmental boards and other agencies; and officers of labor unions and home owners associations. The Argonne National Laboratory/U.S. Department of Energy Community Leaders Round Table provides an informal and convenient forum for sharing information about Argonne plans and activities

  19. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  20. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  1. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  2. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    8: Solar Energy Consumption Estimates, 2014 State Electric Power Residential a Commercial b Industrial b Electric Power Total Million Kilowatthours Trillion Btu Alabama 0 0.2 0.0 ...

  3. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    5: Wood and Biomass Waste Price and Expenditure Estimates, 2014 State Prices Expenditures Wood Wood and Biomass Waste a Total b Wood Wood and Biomass Waste a Total b Residential ...

  4. Pre-Commercial Demonstration of Direct Non-Iterative State Estimator (DNSE+)

    SciTech Connect (OSTI)

    Lelic, Dino

    2015-04-24

    The objective of this DOE co-funded project is to demonstrate functionality and performance of a production-grade Direct Non-iterative State Estimator (DNSE) through its integration with NYPA’s Energy Management System (EMS) and an enhanced Real Time Dynamics Monitoring System (RTDMS) synchrophasor platform from Electric Power Group (EPG). A production-grade DNSE aims to overcome a major obstacle to the operational use of synchrophasor data in Synchro-Phasor Management Systems (SPMS) by providing SPMS applications with a consistent and a complete synchrophasor data foundation in the same way that a traditional EMS State Estimator (SE) provides to EMS applications. Specifically, the DNSE uses synchrophasor measurements and Supervisory Control and Data Acquisition (SCADA) measurements, together with the complete power system model, to simultaneously obtain the complete state of the entire utility’s operating model at rates that are close to the synchrophasor data rates. The full system coverage property is what distinguishes the DNSE from the linear synchrophasor SEs (which cover only parts of the operating model that are visible through synchrophasor measurements), and DNSE differs from traditional EMS SE in that the solution is obtained without iterations, without initial values (hence the “direct” in the name), and at a much higher execution rate. This presentation provides an overview of the project objectives, a brief description of the main tasks including the development work to productize and optimize DNSE from its current MATLAB code base, RTDMS enhancement for interfacing with the DNSE, factory acceptance testing, field installation, testing and demonstration, as well as the current status of the project execution.

  5. Steady state estimation of soil organic carbon using satellite-derived canopy leaf area index

    SciTech Connect (OSTI)

    Fang, Yilin; Liu, Chongxuan; Huang, Maoyi; Li, Hongyi; Leung, Lai-Yung R.

    2014-12-02

    Soil organic carbon (SOC) plays a key role in the global carbon cycle that is important for decadal-to-century climate prediction. Estimation of soil organic carbon stock using model-based methods typically requires spin-up (time marching transient simulation) of the carbon-nitrogen (CN) models by performing hundreds to thousands years long simulations until the carbon-nitrogen pools reach dynamic steady-state. This has become a bottleneck for global modeling and analysis, especially when testing new physical and/or chemical mechanisms and evaluating parameter sensitivity. Here we report a new numerical approach to estimate global soil carbon stock that can avoid the long term spin-up of the CN model. The approach uses canopy leaf area index (LAI) from satellite data and takes advantage of a reaction-based biogeochemical module NGBGC (Next Generation BioGeoChemical Module) that was recently developed and incorporated in version 4 of the Community Land Model (CLM4). Although NGBGC uses the same CN mechanisms as used in CLM4CN, it can be easily configured to run prognostic or steady state simulations. In this approach, monthly LAI from the multi-year Moderate Resolution Imaging Spectroradiometer (MODIS) data was used to calculate potential annual average gross primary production (GPP) and leaf carbon for the period of the atmospheric forcing. The calculated potential annual average GPP and leaf C are then used by NGBGC to calculate the steady-state distributions of carbon and nitrogen in different vegetation and soil pools by solving the steady-state reaction-network in NGBGC using the Newton-Raphson method. The new approach was applied at point and global scales and compared with SOC derived from long spin-up by running NGBGC in prognostic mode, and SOC from the empirical data of the Harmonized World Soil Database (HWSD). The steady-state solution is comparable to the spin-up value when the MODIS LAI is close to the LAI from the spin-up solution, and largely

  6. Steady state estimation of soil organic carbon using satellite-derived canopy leaf area index

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

    Fang, Yilin; Liu, Chongxuan; Huang, Maoyi; Li, Hongyi; Leung, Lai-Yung R.

    2014-12-02

    Soil organic carbon (SOC) plays a key role in the global carbon cycle that is important for decadal-to-century climate prediction. Estimation of soil organic carbon stock using model-based methods typically requires spin-up (time marching transient simulation) of the carbon-nitrogen (CN) models by performing hundreds to thousands years long simulations until the carbon-nitrogen pools reach dynamic steady-state. This has become a bottleneck for global modeling and analysis, especially when testing new physical and/or chemical mechanisms and evaluating parameter sensitivity. Here we report a new numerical approach to estimate global soil carbon stock that can avoid the long term spin-up of themore » CN model. The approach uses canopy leaf area index (LAI) from satellite data and takes advantage of a reaction-based biogeochemical module NGBGC (Next Generation BioGeoChemical Module) that was recently developed and incorporated in version 4 of the Community Land Model (CLM4). Although NGBGC uses the same CN mechanisms as used in CLM4CN, it can be easily configured to run prognostic or steady state simulations. In this approach, monthly LAI from the multi-year Moderate Resolution Imaging Spectroradiometer (MODIS) data was used to calculate potential annual average gross primary production (GPP) and leaf carbon for the period of the atmospheric forcing. The calculated potential annual average GPP and leaf C are then used by NGBGC to calculate the steady-state distributions of carbon and nitrogen in different vegetation and soil pools by solving the steady-state reaction-network in NGBGC using the Newton-Raphson method. The new approach was applied at point and global scales and compared with SOC derived from long spin-up by running NGBGC in prognostic mode, and SOC from the empirical data of the Harmonized World Soil Database (HWSD). The steady-state solution is comparable to the spin-up value when the MODIS LAI is close to the LAI from the spin-up solution, and largely

  7. WPN 00-4- Estimated 25% State Cost Share Requirement for the Weatherization Assistance Program for Program Year 2001

    Broader source: Energy.gov [DOE]

    To provide estimated figures for the states to begin their planning for the enacted 25% cost share requirement for funding of the low-income Weatherization Assistance Program beginning with Program Year 2001.

  8. Developing a tool to estimate water withdrawal and consumption in electricity generation in the United States.

    SciTech Connect (OSTI)

    Wu, M.; Peng, J.

    2011-02-24

    Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.

  9. U.S. Spent Nuclear Fuel Data as of December 31,2002 -Table 2

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

    6 Table 1 | Table 3 Table 2. Nuclear Power Plant Data as of December 31, 2002 Reactor Name State Reactor Type Reactor Vendor a Core Size (number of assemblies) Startup Date (year)b...

  10. Trends in Commercial Buildings--Energy Sources Consumption Tables

    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. Tracking shocked dust: State estimation for a complex plasma during a shock wave

    SciTech Connect (OSTI)

    Oxtoby, Neil P.; Ralph, Jason F.; Durniak, Celine; Samsonov, Dmitry

    2012-01-15

    We consider a two-dimensional complex (dusty) plasma crystal excited by an electrostatically-induced shock wave. Dust particle kinematics in such a system are usually determined using particle tracking velocimetry. In this work we present a particle tracking algorithm which determines the dust particle kinematics with significantly higher accuracy than particle tracking velocimetry. The algorithm uses multiple extended Kalman filters to estimate the particle states and an interacting multiple model to assign probabilities to the different filters. This enables the determination of relevant physical properties of the dust, such as kinetic energy and kinetic temperature, with high precision. We use a Hugoniot shock-jump relation to calculate a pressure-volume diagram from the shocked dust kinematics. Calculation of the full pressure-volume diagram was possible with our tracking algorithm, but not with particle tracking velocimetry.

  12. Microsoft Word - table_07.doc

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

    8 Table 7. Supplemental gas supplies by state, 2014 (million cubic feet) Colorado 0 10 0 4,110 4,120 Delaware 0 6 0 0 6 Georgia 0 0 608 26 635 Hawaii 2,733 10 0 0 2,743 Illinois 0 ...

  13. Microsoft Word - table_18.doc

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

    5 Table 18. Natural gas delivered to commercial consumers for the account of others by state, 2010-2014 (volumes in million cubic feet) Alabama 5,494 20.3 5,313 21.1 5,126 23.8 ...

  14. Microsoft Word - table_04.doc

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

    2 Table 4. Offshore gross withdrawals of natural gas by state and the Gulf of Mexico, 2010-2014 (million cubic feet) 2010 Total 234,236 341,365 575,601 1,701,665 598,679 2,300,344 ...

  15. Microsoft Word - table_23.doc

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

    6 Table 23. Average citygate price of natural gas in the United States, 2010- 2014 (dollars per thousand cubic feet) Alabama 6.46 5.80 5.18 4.65 4.93 Alaska 6.67 6.53 6.14 6.02 ...

  16. Microsoft Word - table_13.doc

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

    3 Table 13. Additions to and withdrawals from gas storage by state, 2014 (million cubic feet) Alabama 34,286 28,683 5,603 1,664 1,869 -206 5,397 Alaska 11,675 6,523 5,152 0 0 0 ...

  17. Microsoft Word - table_14.doc

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

    44 Table 14. Underground natural gas storage capacity by state, December 31, 2014 (million cubic feet) Alabama 1 21,950 30,100 0 0 0 1 11,200 13,500 2 33,150 43,600 Alaska 0 0 0 0 ...

  18. Microsoft Word - table_27.doc

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

    8 Table 28. Percent distribution of natural gas delivered to consumers by state, 2014 Alabama 0.8 0.8 2.5 0.6 4.2 Alaska 0.3 0.5 0.1 < 0.4 Arizona 0.6 0.9 0.3 5.8 2.5 Arkansas 0.7 ...

  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. Design-Basis Flood Estimation for Site Characterization at Nuclear Power Plants in the United States of America

    SciTech Connect (OSTI)

    Prasad, Rajiv; Hibler, Lyle F.; Coleman, Andre M.; Ward, Duane L.

    2011-11-01

    The purpose of this document is to describe approaches and methods for estimation of the design-basis flood at nuclear power plant sites. Chapter 1 defines the design-basis flood and lists the U.S. Nuclear Regulatory Commission's (NRC) regulations that require estimation of the design-basis flood. For comparison, the design-basis flood estimation methods used by other Federal agencies are also described. A brief discussion of the recommendations of the International Atomic Energy Agency for estimation of the design-basis floods in its member States is also included.

  1. CBECS Buildings Characteristics --Revised Tables

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

    Energy Sources and End Use Tables (27 pages, 152 kb) CONTENTS PAGES Table 18. Energy Sources, Number of Buildings, 1995 Table 19. Energy Sources, Floorspace, 1995 Table 20. Energy End Uses, Number of Buildings and Floorspace, 1995 Table 21. Space-Heating Energy Sources, Number of Buildings, 1995 Table 22. Space-Heating Energy Sources, Floorspace, 1995 Table 23. Primary Space-Heating Energy Sources, Number of Buildings, 1995 Table 24. Primary Space-Heating Energy Sources, Floorspace, 1995 Table

  2. CBECS Buildings Characteristics --Revised Tables

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

    End-Use Equipment Tables (27 pages, 151 kb) CONTENTS PAGES Table 33. Heating Equipment, Number of Buildings, 1995 Table 34. Heating Equipment, Floorspace, 1995 Table 35. Cooling Equipment,Number of Buildings, 1995 Table 36. Cooling Equipment, Floorspace, 1995 Table 37. Refrigeration Equipment, Number of Buildings and Floorspace, 1995 Table 38. Water-Heating Equipment, Number of Buildings and Floorspace, 1995 Table 39. Lighting Equipment, Number of Buildings, 1995 Table 40. Lighting Equipment,

  3. A Two-Stage Kalman Filter Approach for Robust and Real-Time Power System State Estimation

    SciTech Connect (OSTI)

    Zhang, Jinghe; Welch, Greg; Bishop, Gary; Huang, Zhenyu

    2014-04-01

    As electricity demand continues to grow and renewable energy increases its penetration in the power grid, realtime state estimation becomes essential for system monitoring and control. Recent development in phasor technology makes it possible with high-speed time-synchronized data provided by Phasor Measurement Units (PMU). In this paper we present a two-stage Kalman filter approach to estimate the static state of voltage magnitudes and phase angles, as well as the dynamic state of generator rotor angles and speeds. Kalman filters achieve optimal performance only when the system noise characteristics have known statistical properties (zero-mean, Gaussian, and spectrally white). However in practice the process and measurement noise models are usually difficult to obtain. Thus we have developed the Adaptive Kalman Filter with Inflatable Noise Variances (AKF with InNoVa), an algorithm that can efficiently identify and reduce the impact of incorrect system modeling and/or erroneous measurements. In stage one, we estimate the static state from raw PMU measurements using the AKF with InNoVa; then in stage two, the estimated static state is fed into an extended Kalman filter to estimate the dynamic state. Simulations demonstrate its robustness to sudden changes of system dynamics and erroneous measurements.

  4. 9B General Tables

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

    B General Table The General Table for 9B is subdivided into the following categories: Shell Model Cluster Model Theoretical Other Model Calculations Complex Reactions Beta-Decay Pions Light-ion and Neutron Induced Reactions Hypernuclei

  5. 9C General Tables

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

    C General Table The General Table for 9C is subdivided into the following categories: Shell Model Cluster Model Other Models Theoretical Beta-Decay Light-ion and Neutron Induced Reactions Astrophysical

  6. Tabled Execution in Scheme

    SciTech Connect (OSTI)

    Willcock, J J; Lumsdaine, A; Quinlan, D J

    2008-08-19

    Tabled execution is a generalization of memorization developed by the logic programming community. It not only saves results from tabled predicates, but also stores the set of currently active calls to them; tabled execution can thus provide meaningful semantics for programs that seemingly contain infinite recursions with the same arguments. In logic programming, tabled execution is used for many purposes, both for improving the efficiency of programs, and making tasks simpler and more direct to express than with normal logic programs. However, tabled execution is only infrequently applied in mainstream functional languages such as Scheme. We demonstrate an elegant implementation of tabled execution in Scheme, using a mix of continuation-passing style and mutable data. We also show the use of tabled execution in Scheme for a problem in formal language and automata theory, demonstrating that tabled execution can be a valuable tool for Scheme users.

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

    Gasoline and Diesel Fuel Update (EIA)

    5 Table E3. Residential Sector Energy Price Estimates, 2014 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy e Coal a Natural Gas b Petroleum Biomass ...

  8. FY 2005 Laboratory Table

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

    Congressional Budget Request Laboratory Tables Preliminary Department of Energy FY 2005 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Laboratory Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers

  9. Hot cell examination table

    DOE Patents [OSTI]

    Gaal, Peter S.; Ebejer, Lino P.; Kareis, James H.; Schlegel, Gary L.

    1991-01-01

    A table for use in a hot cell or similar controlled environment for use in examining specimens. The table has a movable table top that can be moved relative to a table frame. A shaft is fixedly mounted to the frame for axial rotation. A shaft traveler having a plurality of tilted rollers biased against the shaft is connected to the table top such that rotation of the shaft causes the shaft traveler to roll along the shaft. An electromagnetic drive is connected to the shaft and the frame for controllably rotating the shaft.

  10. 1997 Housing Characteristics Tables Housing Unit Tables

    Gasoline and Diesel Fuel Update (EIA)

    Contact: Robert Latta, Survey Manager (rlatta@eia.doe.gov) World Wide Web: http:www.eia.doe.govemeuconsumption Table HC1-1a. Housing Unit Characteristics by Climate Zone, ...

  11. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Gasoline and Diesel Fuel Update (EIA)

    See footnotes at end of table. 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State 386 Energy Information...

  12. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1998 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  13. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1995 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  14. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Gasoline and Diesel Fuel Update (EIA)

    Marketing Annual 1999 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  15. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

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

    Marketing Annual 1999 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  16. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) - Continued Geographic Area Month Premium All Grades Sales...

  17. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    2000 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) - Continued Geographic Area Month Premium All Grades Sales...

  18. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

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

    Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month Premium All...

  19. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

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

    Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month Premium All...

  20. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

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

    Information AdministrationPetroleum Marketing Annual 1999 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  1. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  2. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  3. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  4. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  5. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1998 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  6. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  7. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  8. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  9. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

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

    - - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

  10. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    - - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy...

  11. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1999 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  12. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

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

    Information AdministrationPetroleum Marketing Annual 1998 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  13. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    - - - - W W - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  14. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1995 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  15. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    - - - - 64.7 64.7 - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  16. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  17. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  18. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  19. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  20. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    Information AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  1. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

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

    Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  2. A Survey of State-Level Cost and Benefit Estimates of Renewable...

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

    ... have used different methods to estimate RPS ... to the cost of a new coal-fired facility, determined by ... potential future federal regulation of coal plants. ...

  3. Estimate of Maximum Underground Working Gas Storage Capacity in the United States: 2007 Update

    Reports and Publications (EIA)

    2007-01-01

    This report provides an update to an estimate for U.S. aggregate natural gas storage capacity that was released in 2006.

  4. Table of Contents

    Energy Savers [EERE]

    Table 10 Costs of Foreign Travel, IG-0397 Table 10 Costs of Foreign Travel, IG-0397 Table 10 Costs of Foreign Travel, IG-0397 Table 10 Costs of Foreign Travel, IG-0397 (242.36 KB) More Documents & Publications Inspection Report: IG-0397 Audit of Department of Energy International Charter Flights, IG-0397 John C. Layton: Before The Subcommittee on Oversight and Investigations Committee on Commerce

    U U . . S S . . D D E E P P A A R R T T M M E E N N T T O O F F E E N N E E R R G G Y Y O O F

  5. 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...

  6. 1997 MWD comparison tables

    SciTech Connect (OSTI)

    Wiseman, K.

    1997-05-01

    This year`s MWD Comparison Tables include a Quick Reference Guide listing MWD sensors by collar size for each manufacturer. Following the Quick Reference Guide are the comparison tables, which list general, directional, gamma ray, resistivity, density and neutron data for each tool. The MWD Tables should only be used as a reference source. System specifications frequently change as tools are refined and developed. Consult MWD marketing representatives prior to making final tool selections. A contact key for all the companies listed in the tables appears on the last page.

  7. State

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

    Created on: 8/26/2016 3:22:30 PM Table 2. Natural gas consumption in the United States, 2011-2016 (billion cubic feet, or as indicated) Year and Month Lease and Plant Fuel a Pipeline and Distribution Use b Delivered to Consumers Total Consumption Heating Value c (Btu per cubic foot) Residential Commercial Industrial Electric Power Vehicle Fuel Total 2011 Total 1,323 688 4,714 3,155 6,994 7,574 30 22,467 24,477 1,022 2012 Total 1,396 731 4,150 2,895 7,226 9,111 30 23,411 25,538 1,024 2013 Total

  8. State-level evaluations of the Weatherization Assistance Program in 1990-1996: a metaevaluation that estimates national savings

    SciTech Connect (OSTI)

    Berry, L.

    1997-01-01

    The DOE Weatherization Assistance Program is one of the largest energy conservation programs in the nation. To obtain an updated estimate of national Program savings, an approach of metaevaluation was selected, which involved locating, assembling, and summarizing the results of all state-level evaluations of the Program that have become available since 1990. All of the savings estimates that are presented in this report are for dwellings that heat primarily with natural gas.This review of the state-level evaluations conducted since 1990 concluded that Program performance has improved significantly in the last seven years. The finding that savings are increasing are supported by a literature review, within-state comparisons of savings over time, and regression modeling results.

  9. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

    Fuel Cell Technologies Publication and Product Library (EERE)

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  10. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis: Independent Review

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  11. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

    SciTech Connect (OSTI)

    none,

    2009-09-01

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  12. 1996 MWD comparison tables

    SciTech Connect (OSTI)

    Gastineau, J.

    1996-05-01

    Petroleum Engineer International`s ninth annual Measurement While Drilling Tables compare the different operating capabilities of survey and logging tools from 13 MWD vendors. This year`s MWD Comparison Tables include a Quick Reference Guide listing MWD sensors by collar size for each manufacturer. Following the Quick Reference Guide are the comparison tables, listing general, directional, gamma ray, resistivity, density and neutron data for each tool. The MWD Tables should serve only as a reference source. System specifications can change rapidly as tools are refined and developed. Consultation with MWD marketing representatives before making a final tool selection is recommended. A contact key for all of the companies listed in the tables is provided.

  13. Estimated Value of Service Reliability for Electric Utility Customers in the United States

    SciTech Connect (OSTI)

    Sullivan, M.J.; Mercurio, Matthew; Schellenberg, Josh

    2009-06-01

    Information on the value of reliable electricity service can be used to assess the economic efficiency of investments in generation, transmission and distribution systems, to strategically target investments to customer segments that receive the most benefit from system improvements, and to numerically quantify the risk associated with different operating, planning and investment strategies. This paper summarizes research designed to provide estimates of the value of service reliability for electricity customers in the US. These estimates were obtained by analyzing the results from 28 customer value of service reliability studies conducted by 10 major US electric utilities over the 16 year period from 1989 to 2005. Because these studies used nearly identical interruption cost estimation or willingness-to-pay/accept methods it was possible to integrate their results into a single meta-database describing the value of electric service reliability observed in all of them. Once the datasets from the various studies were combined, a two-part regression model was used to estimate customer damage functions that can be generally applied to calculate customer interruption costs per event by season, time of day, day of week, and geographical regions within the US for industrial, commercial, and residential customers. Estimated interruption costs for different types of customers and of different duration are provided. Finally, additional research and development designed to expand the usefulness of this powerful database and analysis are suggested.

  14. 1995 CECS C&E Tables

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

    Fuel Oil Tables (10 pages, 58 kb) CONTENTS PAGES Table 26. Total Fuel Oil Consumption and Expenditures, 1995 Table 27. Fuel Oil Consumption and Expenditure Intensities, 1995 Table...

  15. Estimate of Maximum Underground Working Gas Storage Capacity in the United States

    Reports and Publications (EIA)

    2006-01-01

    This report examines the aggregate maximum capacity for U.S. natural gas storage. Although the concept of maximum capacity seems quite straightforward, there are numerous issues that preclude the determination of a definitive maximum volume. The report presents three alternative estimates for maximum capacity, indicating appropriate caveats for each.

  16. table11.xls

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

    ... 14.1 NA 17.9 18.3 19.6 20.1 Table 11. Fuel Economy, Selected Survey Years (Miles Per Gallon) Survey Years Page A-1 of A-5 1983 1985 1988...

  17. table3.2

    Gasoline and Diesel Fuel Update (EIA)

    ... NAICS Code(a) Subsector and Industry Total Net Electricity(b... RSE Row Factors Table 3.2 Fuel Consumption, 2002; Level: ... of Energy Markets and End Use, Energy Consumption ...

  18. Building Materials Property Table

    SciTech Connect (OSTI)

    2010-04-16

    This information sheet describes a table of some of the key technical properties of many of the most common building materials taken from ASHRAE Fundamentals - 2001, Moisture Control in Buildings, CMHC, NRC/IRC, IEA Annex 24, and manufacturer data.

  19. TABLE OF CONTENTS

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

    008 High Temperature Superconductivity for Electric Systems Peer Review Final Report i TABLE OF CONTENTS High Temperature Superconductivity for Electric Systems Program Overview ...... 1 The Peer Review................................................................................................................ 3 Review Criteria ................................................................................................................. 5 Guidelines

  20. Table_of_Contents

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

    Table of Contents 1. Physical Security .............................................................................................................................. 1-1 101. Headquarters Security Badges ........................................................................................ 101-1 102. HSPD-12 Badges and the PIV Process ........................................................................... 102-1 103. Prohibited Articles

  1. Table G3

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

    May 28, 2010 Voluntary Reporting of Greenhouse Gases 14 Table G3. Decision Chart for a ... Form EIA-1605 Voluntary Reporting of Greenhouse Gases Form Approved OMB No. 1905-0194 ...

  2. TABLE OF CONTENTS

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

    3, Revision 0 i TABLE OF CONTENTS 1.0 Summary .............................................................................................................................. 1 2.0 Introduction .......................................................................................................................... 1 3.0 Discussion ............................................................................................................................ 4 3.1 Selection of Tanks for Level Decrease

  3. TABLE OF CONTENTS

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

    4, Revision 0 i TABLE OF CONTENTS 1.0 Summary .............................................................................................................................. 1 2.0 Introduction .......................................................................................................................... 1 3.0 Discussion ............................................................................................................................ 4 3.1 Selection of Tanks for Level Decrease

  4. TABLE OF CONTENTS

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

    5, Revision 0 i TABLE OF CONTENTS 1.0 Summary .............................................................................................................................. 1 2.0 Introduction .......................................................................................................................... 1 3.0 Discussion ............................................................................................................................ 4 3.1 Selection of Tanks for Level Decrease

  5. A = 7 General Tables

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

    Hyperfine Structure b-decay Muons Hypernuclei and Baryons Pion, Kaon and Eta-Mesons Other Work Applications The General Table for 7Be is subdivided into the following categories:...

  6. Tables of Energy Levels

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

    of Energy Levels The Image Map below will direct you to the table of energy levels PDF format only for that particular nuclide from the most recent publication found within...

  7. FY 2006 Laboratory Table

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

    Laboratory Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 Laboratory Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals,

  8. FY 2007 Laboratory Table

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

    Laboratory tables preliminary Department of Energy FY 2007 Congressional Budget Request February 2006 Printed with soy ink on recycled paper Office of Chief Financial Officer Laboratory tables preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other

  9. FY 2008 Laboratory Table

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

    Laboratory Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer Laboratory Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other

  10. FY 2010 Laboratory Table

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

    Laboratory Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by

  11. FY 2011 Laboratory Table

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

    Laboratory Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 March 2010 Office of Chief Financial Officer Laboratory Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments

  12. Fy 2009 Laboratory Table

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

    Laboratory Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to

  13. Geothermal -- The Energy Under Our Feet: Geothermal Resource Estimates for the United States

    SciTech Connect (OSTI)

    Green, B. D.; Nix, R. G.

    2006-11-01

    On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource or application: (1) Hydrothermal, (2) Deep Geothermal Systems, (3) Direct Use, (4) Geothermal Heat Pumps (GHPs), and (5) Co-Produced and Geopressured. The workshop found that the domestic geothermal resource is very large, with significant benefits.

  14. Microsoft Word - table_21.doc

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

    9 Table 21. Number of natural gas commercial consumers by type of service and state, 2013-2014 R Revised data. Note: Totals may not equal sum of components due to independent rounding. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Please see the cautionary note regarding the number of residential and commercial customers located on the second page of Appendix A of this report. Alabama 67,006 130

  15. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    1: Kerosene Consumption, Price, and Expenditure Estimates, 2014 State Consumption Prices Expenditures Residential Commercial Industrial Total Residential Commercial Industrial Total Residential and Commercial Industrial Total Residential Commercial Industrial Total Thousand Barrels Trillion Btu Dollars per Million Btu Million Dollars Alabama 4 3 4 11 (s) (s) (s) 0.1 25.33 20.88 23.77 0.6 0.4 0.4 1.4 Alaska 6 3 (s) 9 (s) (s) (s) 0.1 31.05 25.59 30.88 1.0 0.5 (s) 1.6 Arizona (s) (s) (s) (s) (s)

  16. CPMS Tables | Department of Energy

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

    Program Management » Quality Assurance » CPMS Tables CPMS Tables EM Quality Assurance Corporate Performance Metrics table. CPMS Tables (233.47 KB) More Documents & Publications EM Corporate QA Performance Metrics QA Corporate Board Meeting - July 2008 QA Corporate Board Meeting - November 2008

  17. CBECS Buildings Characteristics --Revised Tables

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

    Structure Tables (16 pages, 93 kb) CONTENTS PAGES Table 8. Building Size, Number of Buildings, 1995 Table 9. Building Size, Floorspace, 1995 Table 10. Year Constructed, Number of Buildings, 1995 Table 11. Year Constructed, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial

  18. Estimating effects of energy planning on environmental impacts in the Western United States

    SciTech Connect (OSTI)

    Baechler, M.C.; Cothran, J.N.

    1995-06-01

    As part of their long-term planning process, utilities and government agencies are choosing power generation and conservation strategies that will effect environmental interactions for decades to come. In the United States, power marketing administrations within the U.S. Department of Energy have a strong influence over the strategies to be implemented in large multi-state regions. Pacific Northwest Laboratories (PNL) prepared environmental impact statements (EIS) for two power marketing agencies, the Western Area Power Administration (Western) and Bonneville Power Administration (Bonneville). The Western EIS assessed the effects of integrated resource planning (IRP) on the public utilities Western serves, while the Bonneville EIS assessed the effects of acquiring new energy resources in the Pacific Northwest. The results were found using models that simulated utility systems. In both cases, environmental impacts were reduced when the conservation strategy in question was concerned. This paper describes the results of the environmental analysis for the two agencies and compares the results with those of another simplified approach that relies on attributing emissions of new resources based on an extrapolation of existing capacity.

  19. Table A32. Total Consumption of Offsite-Produced Energy for...

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

    Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by ... The derived estimates presented" "in this table represent the consumption of energy ...

  20. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  1. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 4th Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  2. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  3. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 3rd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  4. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  5. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  6. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 4th Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  7. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  8. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 3rd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  9. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  10. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  11. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  12. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  13. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  14. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  15. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  16. FY 2012 Laboratory Table

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

    5 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0065 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider

  17. FY 2013 Laboratory Table

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

    8 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0078 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider

  18. Appendix B: Summary Tables

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix B: Summary Tables Table B1. The BCES and alternative cases compared to the Reference case, 2025 2009 2025 Ref Ref BCES All Clean Partial Credit Revised Baseline Small Utilities Credit Cap 2.1 Credit Cap 3.0 Stnds + Cds Generation (billion kilowatthours) Coal 1,772 2,049 1,431 1,305 1,387 1,180 1,767 1,714 1,571 1,358 Petroleum 41 45 43 44 44 44 45 45 45 43 Natural

  19. Microsoft Word - table_08

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

    3 Table 8 Created on: 8/26/2016 3:14:08 PM Table 8. Underground natural gas storage - all operators, 2011-2016 (volumes in billion cubic feet) Year and Month Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Base Gas Working Gas Total a Volume Percent Injections Withdrawals Net Withdrawals b 2011 Total c -- -- -- -- -- 3,422 3,074 -348 2012 Total c -- -- -- -- -- 2,825 2,818 -7 2013 Total c -- -- -- -- -- 3,156 3,702 546

  20. Microsoft Word - table_09

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

    5 Table 9 Created on: 8/26/2016 3:14:26 PM Table 9. Underground natural gas storage - by season, 2014-2016 (volumes in billion cubic feet) Year, Season, and Month Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Base Gas Working Gas Total Volume Percent Injections Withdrawals Net Withdrawals a 2014 Refill Season April 4,357 1,066 5,423 -789 -42.5 323 105 -217 May 4,353 1,548 5,901 -722 -31.8 529 51 -478 June 4,358 2,005

  1. Microsoft Word - table_11

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

    7 Table 11 Created on: 8/26/2016 3:15:09 PM Table 11. Underground natural gas storage - storage fields other than salt caverns, 2011-2016 (volumes in billion cubic feet) Year and Month Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Base Gas Working Gas Total Volume Percent Injections Withdrawals Net Withdrawals a 2011 Total b -- -- -- -- -- 2,889 2,634 -255 2012 Total b -- -- -- -- -- 2,360 2,373 12 2013 Total b -- -- --

  2. Estimated winter 1980-1981 electric demand and supply, contiguous United States. Staff report

    SciTech Connect (OSTI)

    None

    1980-12-01

    This report summarizes the most recent data available concerning projected electrical peak demands and available power resouces for the 1980-1981 winter peak period, as reported by electric utilities in the contiguous United States. The data, grouped by Regional Reliability Council areas and by Electrical Regions within the Council areas, was obtained from the Form 12E-2 reports filed by utilities with the Department of Energy on October 15, 1980 (data as of September 30). In some instances the data were revised or verified by telephone. Considerations affecting reliability, arising from Nuclear Regulatory Commission actions based on lessons learned from the forced outage of Three Mile Island Nuclear Unit No. 2, were factored into the report. No widespread large-scale reliability problems are foreseen for electric power supply this winter, on the basis of the supply and demand projections furnished by the electric utilities. Reserve margins could drop in some electric regions to levels considered inadequate for reliable service, if historical forced-outage magnitudes recur.

  3. Microsoft Word - table_25.doc

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

    72 Table 25. Average price of natural gas delivered to residential and commercial sector consumers by local distribution and marketers in selected states, 2013-2014 (dollars per thousand cubic feet) Georgia 11.86 15.04 14.60 13.9 12.38 14.79 14.45 14.0 New York 12.24 13.07 12.49 70.3 12.15 13.46 12.54 70.5 Ohio 9.20 9.52 9.46 19.8 10.15 10.16 10.16 20.0 Residential State 2013 2014 Local Distribution Company Average Price a Marketer Average Price b Combined Average Price c Percent Sold by Local

  4. FY 2006 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2004 FY 2005 FY 2006 Comparable Comparable Request to FY 2006 vs. FY 2005 Approp Approp Congress Discretionary Summary By Appropriation Energy And Water Development Appropriation Summary: Energy Programs Energy supply Operation and maintenance................................................. 787,941 909,903 862,499 -47,404 -5.2% Construction......................................................................... 6,956

  5. FY 2013 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability.........................................

  6. Table of Contents

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

    COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary.......................................................... 1 a. Overview of Smart Grid Benefits and Communications Needs................. 2 b. Summary of Recommendations .................................................................... 5 II. Federal Government Smart Grid Initiatives ................................................ 7 a. DOE Request for Information

  7. TABLE OF CONTENTS

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

    DE-EM0001840 Page 2 of 108 WIPP Transportation Services Table of Contents SECTION B - SUPPLIES OR SERVICES AND PRICES/COSTS ................................................................ 3 SECTION C - DESCRIPTION/SPECIFICTIONS ....................................................................................... 10 SECTION D -PACKAGING AND MARKING .............................................................................................. 34 SECTION E - INSPECTION AND ACCEPTANCE

  8. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    F7: Distillate Fuel Oil Consumption Estimates, 2014 State Residential Commercial Industrial Transportation Electric Power Total Residential Commercial Industrial Transportation Electric Power Total Thousand Barrels Trillion Btu Alabama 18 677 3,447 20,567 177 24,885 0.1 3.9 19.9 118.8 1.0 143.7 Alaska 1,155 1,264 4,022 5,738 507 12,686 6.7 7.3 23.2 33.1 2.9 73.2 Arizona 2 1,025 5,201 18,452 108 24,789 (s) 5.9 30.0 106.5 0.6 143.1 Arkansas 5 570 5,157 15,448 45 21,225 (s) 3.3 29.8 89.2 0.3 122.6

  9. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    1: Electricity Consumption Estimates, 2014 State Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Million Kilowatthours Trillion Btu Alabama 32,930 22,929 34,635 0 90,494 112.4 78.2 118.2 0.0 308.8 Alaska 2,044 2,762 1,360 0 6,165 7.0 9.4 4.6 0.0 21.0 Arizona 32,346 29,290 14,662 0 76,298 110.4 99.9 50.0 0.0 260.3 Arkansas 18,441 11,988 16,651 (s) 47,080 62.9 40.9 56.8 (s) 160.6 California 89,361 119,494 52,898 832 262,585 304.9 407.7

  10. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    2: Liquefied Petroleum Gases Consumption Estimates, 2014 State Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Thousand Barrels Trillion Btu Alabama 1,216 536 344 143 2,239 4.7 2.1 1.2 0.5 8.5 Alaska 95 185 9 22 311 0.4 0.7 (s) 0.1 1.2 Arizona 1,004 430 229 281 1,945 3.9 1.7 0.8 1.1 7.4 Arkansas 1,221 359 750 128 2,457 4.7 1.4 2.6 0.5 9.1 California 4,624 2,393 5,550 1,395 13,962 17.7 9.2 19.2 5.4 51.5 Colorado 2,958 589 513 250 4,310

  11. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    9: Natural Gas Consumption Estimates, 2014 State Residential Commercial Industrial Transpor- tation a Electric Power Total Residential Commercial Industrial Transpor- tation a Electric Power Total Billion Cubic Feet Trillion Btu Alabama 39 28 204 19 346 636 39.9 28.2 209.0 19.4 355.1 651.5 Alaska 18 18 261 (s) 32 329 17.8 18.0 261.5 0.3 32.0 329.6 Arizona 32 30 22 16 206 307 33.3 31.3 23.1 16.0 211.6 315.4 Arkansas 38 51 96 12 72 268 38.9 51.7 98.1 11.9 74.1 274.8 California 397 238 845 39 832

  12. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (EIA)

    5: Total Petroleum Consumption Estimates, 2014 State Residential Commercial Industrial Transportation Electric Power Total Residential Commercial Industrial Transportation Electric Power Total Thousand Barrels Trillion Btu Alabama 1,237 1,260 9,846 85,349 177 97,869 4.8 6.2 58.3 449.4 1.0 519.7 Alaska 1,256 1,525 8,925 29,298 626 41,631 7.1 8.4 53.7 162.7 3.7 235.6 Arizona 1,006 1,500 9,267 85,556 108 97,437 3.9 7.8 54.4 448.3 0.6 515.0 Arkansas 1,229 1,010 10,617 50,347 45 63,248 4.7 5.1 61.1

  13. 1995 CECS C&E Tables

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

    Electricity Tables (35 pages, 218 kb) CONTENTS PAGES Table 9. Total Electricity Consumption and Expenditures, 1995 Table 10. Electricity Consumption and Expenditure Intensities,...

  14. 1995 CECS C&E Tables

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

    kb) CONTENTS PAGES Table 1. Total Energy Consumption by Major Fuel, 1995 Table 9. Total Electricity Consumption and Expenditures, 1995 Table 20. Total Natural Gas Consumption and...

  15. 1995 CECS C&E Tables

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

    pages, 95 kb) CONTENTS PAGES Table 3. Consumption for Sum of Major Fuels, 1995 Table 10. Electricity Consumption and Expenditure Intensities, 1995 Table 21. Natural Gas...

  16. 1995 CECS C&E Tables

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

    kb) CONTENTS PAGES Table 2. Total Energy Expenditures by Major Fuel, 1995 Table 9. Total Electricity Consumption and Expenditures, 1995 Table 20. Total Natural Gas Consumption and...

  17. 1995 CECS C&E Tables

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

    pages, 95 kb) CONTENTS PAGES Table 4. Expenditures for Sum of Major Fuels, 1995 Table10. Electricity Consumption and Expenditure Intensities, 1995 Table 21. Natural Gas...

  18. table3.5_02

    Gasoline and Diesel Fuel Update (EIA)

    ... Wood Chips, Bark Table 3.5 Selected Byproducts in Fuel Consumption, 2002; Level: National ... Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding ...

  19. Energy.gov Data Tables

    Broader source: Energy.gov [DOE]

    Follow these guidelines for creating Section 508-compliant data tables in the Energy.gov Drupal environment.

  20. Advanced Vehicle Technologies Awards Table

    Broader source: Energy.gov [DOE]

    The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project.

  1. 2003 CBECS Detailed Tables: Summary

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

    c32.pdf c32.xls c32.html Fuel Oil (Tables C33-C36) set12-pdf Table C33. Total Fuel Oil Consumption and Expenditures c33-pdf c33.xls c33.html Table C34. Fuel Oil Consumption...

  2. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 466.1 466.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  3. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  4. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 532.1 532.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  5. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  6. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    SciTech Connect (OSTI)

    Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie

    2008-06-03

    ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

  7. Distribution System State Estimation

    Office of Scientific and Technical Information (OSTI)

    ... II - 3|Bad data identification|Testing of meter phase identification, see section 3.4 of ... Power quality monitors (utility or customer) Automated meter reading devices Modern ...

  8. Distribution System State Estimation

    Office of Scientific and Technical Information (OSTI)

    ... These all acknowledge government support through this project. All are available through IEEE Xplore. The project has fostered and supported many other collaborations: MultiSpeak ...

  9. TABLE OF CONTENTS

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

    irecusa.org | LMI Guidelines | 0 www.irecusa.org | LMI Guidelines | i TABLE OF CONTENTS Executive Summary iv Content Overview vii Introduction 1 I. Identifying LMI Customers and Designing Facilities to Serve LMI Customers 5 A. LMI Customers 5 B. Designing Facilities to Serve LMI Customers 6 II. Barriers to Adoption and Opportunities for Engagement 11 A. Financial Barriers 11 B. Ownership Barriers and Split Incentives 14 C. Marketing, Education, and Outreach Barriers 15 D. Opportunities for

  10. Description of Energy Intensity Tables (12)

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

    3. Description of Energy Intensity Data Tables There are 12 data tables used as references for this report. Specifically, these tables are categorized as tables 1 and 2 present...

  11. Microsoft Word - table_03.doc

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

    9 Table 3. Gross withdrawals and marketed production of natural gas by state and the Gulf of Mexico, 2010-2014 (million cubic feet) 2010 Total 13,247,498 5,834,703 1,916,762 5,817,122 26,816,085 3,431,587 165,928 836,698 22,381,873 1,066,366 21,315,507 2011 Total 12,291,070 5,907,919 1,779,055 8,500,983 28,479,026 3,365,313 209,439 867,922 24,036,352 1,134,473 22,901,879 2012 Total 12,504,227 4,965,833 1,539,395 10,532,858 29,542,313 3,277,588 212,848 768,598 25,283,278 1,250,012 24,033,266 2013

  12. Microsoft Word - table_20.doc

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

    8 Table 20. Number of natural gas residential consumers by type of service and state, 2013-2014 Alabama 765,957 0 765,957 769,418 0 769,418 Alaska 124,411 0 124,411 126,416 0 126,416 Arizona 1,171,997 6 1,172,003 1,186,788 6 1,186,794 Arkansas R 549,764 0 R 549,764 549,034 0 549,034 California 10,471,814 283,094 10,754,908 10,372,973 408,747 10,781,720 Colorado 1,672,307 5 1,672,312 1,690,576 5 1,690,581 Connecticut 512,110 1,382 513,492 521,460 1,198 522,658 Delaware 155,627 0 155,627 158,502 0

  13. Microsoft Word - table_22.doc

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

    0 Table 22. Number of natural gas industrial consumers by type of service and state, 2013-2014 Alabama 2,876 267 3,143 2,973 271 3,244 Alaska 2 1 3 1 0 1 Arizona 257 126 383 256 130 386 Arkansas 513 507 1,020 531 478 1,009 California 32,662 5,334 37,996 32,266 5,282 37,548 Colorado 946 6,347 7,293 986 6,837 7,823 Connecticut 3,360 1,094 4,454 3,340 877 4,217 Delaware 28 110 138 28 113 141 Florida 166 362 528 165 355 520 Georgia 984 1,258 2,242 887 1,594 2,481 Hawaii 22 0 22 23 0 23 Idaho 109 R

  14. Microsoft Word - table_26.doc

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

    7 Table 27. Percent distribution of natural gas supply and disposition by state, 2014 Alabama 0.7 1.6 Alaska 1.3 1.6 Arizona < 0.5 Arkansas 4.4 1.1 California 0.9 8.2 Colorado 6.0 2.1 Connecticut -- 0.7 Delaware -- 0.3 District of Columbia -- 0.2 Florida < 1.0 Georgia -- 2.0 Gulf of Mexico 4.6 0.5 Hawaii -- < Idaho -- 0.4 Illinois < 5.7 Indiana < 3.4 Iowa -- 1.7 Kansas 1.0 1.4 Kentucky 0.3 1.2 Louisiana 7.6 6.3 Maine -- 0.2 Maryland < 1.0 Massachusetts -- 1.5 Michigan 0.4 4.0

  15. State coal profiles, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-02

    The purpose of State Coal Profiles is to provide basic information about the deposits, production, and use of coal in each of the 27 States with coal production in 1992. Although considerable information on coal has been published on a national level, there is a lack of a uniform overview for the individual States. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. While focusing on coal output, State Coal Profiles shows that the coal-producing States are major users of coal, together accounting for about three-fourths of total US coal consumption in 1992. Each coal-producing State is profiled with a description of its coal deposits and a discussion of the development of its coal industry. Estimates of coal reserves in 1992 are categorized by mining method and sulfur content. Trends, patterns, and other information concerning production, number of mines, miners, productivity, mine price of coal, disposition, and consumption of coal are detailed in statistical tables for selected years from 1980 through 1992. In addition, coal`s contribution to the State`s estimated total energy consumption is given for 1991, the latest year for which data are available. A US summary of all data is provided for comparing individual States with the Nation as a whole. Sources of information are given at the end of the tables.

  16. International Program Action Table - October 2012 | Department...

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

    Communication & Engagement International Programs International Program Action Table - October 2012 International Program Action Table - October 2012 International Program ...

  17. State Historical Tables for 2001 - 2003

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

    POWER INDUSTRY","OPERATING REVENUE (Dollars)","OPERATING EXPENSES (Dollars)","MAINTENANCE (Dollars)","DEPRECIATION (Dollars)","AMORTIZATION (Dollars)","TAXES ...

  18. State Historical Tables for 2001 - 2004

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

    POWER INDUSTRY ","OPERATING REVENUE (Dollars)","OPERATING EXPENSES (Dollars)","MAINTENANCE (Dollars)","DEPRECIATION (Dollars)","AMORTIZATION (Dollars)","TAXES ...

  19. National Targets Table

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

    Nov 2011 For instructions on how to use the table and footnotes, see page 2 Education 144 63% 58 K-12 School College/University (campus level) 244 63% 104 Food Sales 570 86% 193 Grocery Store/Food Market Convenience store (with or without gas station) 657 90% 228 Food Service 575 59% 267 Restaurant/Cafeteria 434 53% 207 Fast Food 1170 64% 418 Inpatient Health Care (Hospital) Lodging 163 61% 72 Dormitory/Fraternity/Sorority Hotel/Motel/Inn Mall (Strip and Enclosed) 247 71% 94 Nursing/Assisted

  20. Microsoft Word - table_10

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

    6 Created on: 8/26/2016 3:14:45 PM Table 10. Underground natural gas storage - salt cavern storage fields, 2011-2016 (volumes in billion cubic feet) Year and Month Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Base Gas Working Gas Total Volume Percent Injections Withdrawals Net Withdrawals a 2011 Total b -- -- -- -- -- 533 440 -92 2012 Total b -- -- -- -- -- 465 445 -20 2013 Total b -- -- -- -- -- 492 521 29 2014 January

  1. Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...

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

    Petroleum Marketing Annual 1999 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

  2. Table 10 U.S. Carbon Dioxide Emissions from Industrial Sector...

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

    ... table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  3. Table 9 U.S. Carbon Dioxide Emissions from Commercial Sector...

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

    table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  4. Table 6 U.S. Carbon Dioxide Emissions from Energy and Industry...

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

    ... table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  5. Table 7. U.S. Energy-Related Carbon Dioxide Emissions by End...

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

    table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  6. Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...

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

    Type, PAD District, and Selected States Energy Information Administration Petroleum Marketing Annual 1996 233 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District,...

  7. Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...

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

    Type, PAD District, and Selected States Energy Information Administration Petroleum Marketing Annual 1997 233 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District,...

  8. Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...

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

    Information Administration Petroleum Marketing Annual 1995 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

  9. Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...

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

    AdministrationPetroleum Marketing Annual 1999 401 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

  10. State energy price and expenditure report 1989

    SciTech Connect (OSTI)

    Not Available

    1991-09-30

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

  11. A = 6 General Tables

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

    following categories: Ground State Properties Theoretical Special States Shell Model Cluster and alpha-particle Models Other Models Model Calculations Complex Reactions Involving...

  12. Annual Coal Distribution Tables

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

    Domestic Distribution of U.S. Coal by Destination State, Consumer, Destination and Method of Transportation, 2001 (Thousand Short Tons) DESTINATION: Alabama State of Origin by...

  13. Sandia Unstructured Triangle Table Generator

    Energy Science and Technology Software Center (OSTI)

    2013-09-16

    The software generates data tables for thermodynamic and transport properties of materials as described by a set of input models. For each input model parameterization, an associated table is created on an unstructured triangular grid. These grids all conform to the same topology. A statistical accuracy guarantee is provided for the tabular representation of the model. Details of the model and table specification are given in a XML input deck.

  14. table3.6_02

    Gasoline and Diesel Fuel Update (EIA)

    ... Selected Wood and Wood-Related Products in Fuel Consumption, 2002; Level: National and ... Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding ...

  15. Health Care Buildings: Subcategories Table

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

    Subcategories Table Selected Data by Type of Health Care Building Number of Buildings (thousand) Percent of Buildings Floorspace (million square feet) Percent of Floorspace Square...

  16. Health Care Buildings: Equipment Table

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

    Equipment Table Buildings, Size and Age Data by Equipment Types for Health Care Buildings Number of Buildings (thousand) Percent of Buildings Floorspace (million square feet)...

  17. Table 1. Crude Oil Prices

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

    from Table 24. Refiner acquisition costs -- Energy Information Administration, Form FEA-P110-M-1, "Refiners' Monthly Cost Allocation Report," January 1978 through June 1978;...

  18. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    3 Purpose All of the estimates contained in the state energy consumption data tables are developed using the State Energy Data System (SEDS), which is main- tained and operated by the U.S. Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy production, consumption, prices, and expenditures by state that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide state

  19. Microsoft Word - table_03

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

    7 Created on: 8/26/2016 3:17:42 PM Table 3. Selected national average natural gas prices, 2011-2016 (dollars per thousand cubic feet, except where noted) Year and Month NGPL Composite Spot Price a Natural Gas Spot Price b Citygate Price Delivered to Consumers Electric Power Price d Residential Commercial Industrial Price % of Total c Price % of Total c Price % of Total c 2011 Annual Average 15.12 4.00 5.63 11.03 96.2 8.91 67.3 5.13 16.3 4.89 2012 Annual Average 10.98 2.75 4.73 10.65 95.8 8.10

  20. QTR table of respondents | Department of Energy

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

    table of respondents QTR table of respondents (108.44 KB) More Documents & Publications Table of QTR comments in response to Federal Register RFI Table of QTR comments in response to Federal Register RFI Table of QTR comments in response to Federal Register RFI

  1. Fuel Tables.indd

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

    ... Where shown, (s) Btu value less than 0.05. Notes: Motor gasoline estimates include fuel ethanol blended into motor gasoline. * Totals may not equal sum of components due to ...

  2. Development of a Geothermal Well Database for Estimating In-Field EGS Potential in the State of Nevada

    SciTech Connect (OSTI)

    Hillary Hanson; Greg Mines

    2001-09-01

    A database containing information on full-sized geothermal wells at hydrothermal power plants was developed. The goal of the database development was to identify the name, location, and status of all full-sized geothermal wells drilled to date. Early design and population of the database focused on wells at hydrothermal power plants in Nevada. The database was created by aggregating and cleaning data from publicly available datasets. The database was designed to track data sources for each well data point, so that information in the database can be traced back to its original source. The initial database was then examined for missing or possibly erroneous data. These data points were further investigated and corrected using original source documents, such as well logs, permitting documents, etc. when possible, and the data source of the information updated as well. The resulting database design allows for the database to be continually updated and improved as new information becomes available, and for original data sources to be identified and consulted when conflicting or erroneous information about a well is uncovered, or if further information about the data point from the original data source is desired. The geothermal well database is still being developed, and future plans call for adding wells from geothermal installations in remaining US states. Although still in development, analysis of the database has yielded some promising results. A preliminary version of the database was used to create maps of the well fields for select power plant sites in Nevada. It was demonstrated that the status of existing wells and their location relative to productive wells can be used to help determine candidate wells for in-field EGS applications: existing wells that can be stimulated to increase their permeability and/or connect them to the existing reservoir so that they can be re-purposed as production or injection wells. These maps and the information in the geothermal

  3. 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....

  4. 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...

  5. EM International Program Action Table - June 2014 | Department...

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

    Action Table - June 2014 EM International Program Action Table - June 2014 EM International Program Action Table - June 2014 PDF icon EM International Program Action Table - June ...

  6. Microsoft Word - table_05.doc

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

    3 Table 5. Number of producing gas wells by state and the Gulf of Mexico, December 31, 2010-2014 Alabama 7,026 7,063 6,327 R 6,165 6,118 Alaska 269 277 185 R 159 170 Arizona 5 5 5 5 5 Arkansas 7,397 8,388 8,538 R 9,843 10,150 California 1,580 1,308 1,423 R 1,335 1,118 Colorado 28,813 30,101 32,000 R 32,468 38,346 Gulf of Mexico 1,852 1,559 1,474 R 1,146 1,400 Illinois 50 40 40 R 34 36 Indiana 620 914 819 R 921 895 Kansas 22,145 25,758 24,697 R 23,792 24,354 Kentucky 17,670 14,632 17,936 R 19,494

  7. Microsoft Word - table_24.doc

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

    Table 24. Average price of natural gas delivered to consumers by state and sector, 2014 (dollars per thousand cubic feet) Alabama 14.59 100.0 11.92 78.4 5.49 23.3 4.74 Alaska 9.11 100.0 8.30 94.5 7.97 100.0 5.06 Arizona 17.20 100.0 10.34 84.4 7.52 12.8 5.30 Arkansas 10.39 100.0 7.88 45.5 6.99 1.8 W California 11.51 94.8 9.05 48.4 7.65 3.7 5.23 Colorado 8.89 100.0 8.15 94.5 6.84 7.7 5.49 Connecticut 14.13 95.9 10.24 67.2 8.07 39.4 6.82 Delaware 13.21 100.0 11.42 46.2 10.95 0.3 W District of

  8. 10B General Tables

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

    subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Theoretical Work Complex Reactions Reactions Involving Pions, Other...

  9. 10C General Tables

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

    for 10C is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Theoretical Work Photodisintegration b-decay Complex Reactions...

  10. 9Be General Tables

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

    9Be is subdivided into the following categories: Ground State Properties Shell Model Cluster Model Theoretical Complex Reactions Beta-Decay Light-Ion and Neutron Induced...

  11. 10Be General Tables

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

    subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Theoretical Work Photo- and Electro-Induced Reactions Atmospheric...

  12. A = 8 General Tables

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

    subdivided into the following categories: Reviews Ground-state Properties Shell Model Cluster Model Other Theoretical Work Elastic and Inelastic Scattering b-decay Nuclear Spatial...

  13. Annual Energy Outlook (AEO) 2006 - Supplemental Tables - All Tables

    SciTech Connect (OSTI)

    2009-01-18

    Tables describing regional energy consumption and prices by sector; residential, commercial, and industrial demand sector data; transportation demand sector; electricity and renewable fuel; and petroleum, natural gas, and coal data.

  14. 1995 CECS C&E Tables

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

    Building Level Intensities (percentile) (6 pages, 39 kb) CONTENTS PAGES Table 10. Electricity Consumption and Expenditure Intensities, 1995 Table 21. Natural Gas Consumption and...

  15. 1995 CECS C&E Tables

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

    and Gross Energy Intensity by Census Region for Sum of Major Fuels, 1995 Table 11. Electricity Consumption and Conditional Energy Intensity by Census Region, 1995 Table 22....

  16. 1995 CECS C&E Tables

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

    and Gross Energy Intensity by Year Constructed for Sum of Major Fuels, 1995 Table 14. Electricity Consumption and Conditional Energy Intensity by Year Constructed, 1995 Table...

  17. 1995 CECS C&E Tables

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

    and Gross Energy Intensity by Building Size for Sum of Major Fuels, 1995 Table13. Electricity Consumption and Conditional Energy Intensity by Building Size, 1995 Table 24....

  18. Commerial Buildings Characteristics, 1995 (Table of Contents...

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

    Number of Buildings and Relative Standard Errors, 1995 Table I.2. Participation in Energy Conservation Programs, Floorspace and Relative Standard Errors, 1995 Table J.1....

  19. Trends in Commercial Buildings--Table

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

    Home > Trends in Commercial Buildings > Energy Consumption - Part 1> Site Energy Consumption Tables Table 1. Total site energy consumption, relative standard errors, and 95%...

  20. 1995 CECS C&E Tables

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

    Category (6 pages, 36 kb) CONTENTS PAGES Table 17. Peak Electricity Demand Category, Number of Buildings, 1995 Table 18. Peak Electricity Demand Category, Floorspace, 1995 These...

  1. Appendix B: Technical Projection Tables, Bioenergy Technologies...

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

    Tables B-2 Last updated: November 2014 Table B-2: Terrestrial Feedstock Supply and Logistics Costs to Supply Feedstock to a Pyrolysis Conversion Process Processing Area Cost...

  2. Annual Coal Distribution Tables

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

    and Foreign Distribution of U.S. Coal by State of Origin, 2001 State Region Domestic Foreign Total Alabama 14,828 4,508 19,336 Alaska 825 698 1,524 Arizona 13,143 - 13,143...

  3. Table of tables: A database design tool for SYBASE

    SciTech Connect (OSTI)

    Brown, B.C.; Coulter, K.; Glass, H.D.; Glosson, R.; Hanft, R.W.; Harding, D.J.; Trombly-Freytag, K.; Walbridge, D.G.C.; Wallis, D.B. ); Allen, M.E. )

    1991-01-04

    The Table of Tables' application system captures in a set of SYBASE tables the basic design specification for a database schema. Specification of tables, columns (including the related defaults and rules for the stored values) and keys is provided. The feature which makes this application specifically useful for SYBASE is the ability to automatically generate SYBASE triggers. A description field is provided for each database object. Based on the data stored, SQL scripts for creating complete schema including the tables, their defaults and rules, their indexes, and their SYBASE triggers, are written by TOT. Insert, update and delete triggers are generated from TOT to guarantee integrity of data relations when tables are connected by single column foreign keys. The application is written in SYBASE's APT-SQL and includes a forms based data entry system. Using the features of TOT we can create a complete database schema for which the data integrity specified by our design is guaranteed by the SYBASE triggers generated by TOT. 3 refs.

  4. table1.4_02

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

    ... products (e.g., crude oil converted to residual and distillate fuel oils) are excluded. ... Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding ...

  5. Health Care Buildings: Consumption Tables

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

    Consumption Tables Sum of Major Fuel Consumption by Size and Type of Health Care Building Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) Dollars per...

  6. Fuel Tables.indd

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

    State Nuclear Electric Power Nuclear Fuel Consumption Prices Expenditures Million Kilowatthours Trillion Btu Dollars per Million Btu Million Dollars Alabama 41,244 431.4 0.80 344.2 ...

  7. ARM - Instrument - s-table

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

    govInstrumentss-table Documentation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Stabilized Platform (S-TABLE) Instrument Categories Ocean Observations For ship-based deployments, some instruments require actively stabilized platforms to compensate for the ship's motion, especially rotations around the long axis of the ship (roll), short axis (pitch), and, for some instruments, vertical axis (yaw).

  8. 2012 NISE Awards Summary Table

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

    Awards » 2012 NISE Summary Table 2012 NISE Awards Summary Table Investigator NERSC repo Hours awarded DOE Office Project Title Gilbert Compo, University of Colorado at Boulder m958 10,000,000 BER Climate Research Ocean-Atmosphere Reanalysis for Climate Applications (OARCA) 1850-2013 Silvia Crivelli, Lawrence Berkeley National Laboratory m1532 1,550,000 BER Biological Systems Science WeFold: A collaborative effort for protein structure prediction Thomas Hamill, National Oceanic & Atmospheric

  9. 2013 NISE Awards Summary Table

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

    Awards » 2013 NISE Summary Table 2013 NISE Awards Summary Table Investigator NERSC repo Hours awarded DOE Office Project Title Katie Antypas, Lawrence Berkeley National Laboratory m1759 250,000 ASCR Applied Mathematical Sciences NERSC Application Readiness for Future Architectures Inez Fung, University of California Berkeley m189 750,000 BER Climate and Environmental Sciences Carbon Data Assimilation with a Coupled Ensemble Kalman Filter Thomas Hamill, National Oceanic & Atmospheric

  10. U.S. Rare Earth Magnet Patents Table © 8-29-2016 page 1

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

    Rare Earth Magnet Patents Table © 8-29-2016 page 1 Disclaimer: This U.S. Rare Earth Magnet Patents Table contains a sample of the rare earth-magnet patents issued by the U.S. Patent and Trademark Office. It was created with key word searching. The Table is not all inclusive of U.S. magnet patents and does not include foreign patents. Some cells in the Table contain estimates, approximations or assessments. Please consult with a professional patent attorney or patent agent, possessing license to

  11. Sample size requirements for estimating effective dose from computed tomography using solid-state metal-oxide-semiconductor field-effect transistor dosimetry

    SciTech Connect (OSTI)

    Trattner, Sigal; Cheng, Bin; Pieniazek, Radoslaw L.; Hoffmann, Udo; Douglas, Pamela S.; Einstein, Andrew J.

    2014-04-15

    Purpose: Effective dose (ED) is a widely used metric for comparing ionizing radiation burden between different imaging modalities, scanners, and scan protocols. In computed tomography (CT), ED can be estimated by performing scans on an anthropomorphic phantom in which metal-oxide-semiconductor field-effect transistor (MOSFET) solid-state dosimeters have been placed to enable organ dose measurements. Here a statistical framework is established to determine the sample size (number of scans) needed for estimating ED to a desired precision and confidence, for a particular scanner and scan protocol, subject to practical limitations. Methods: The statistical scheme involves solving equations which minimize the sample size required for estimating ED to desired precision and confidence. It is subject to a constrained variation of the estimated ED and solved using the Lagrange multiplier method. The scheme incorporates measurement variation introduced both by MOSFET calibration, and by variation in MOSFET readings between repeated CT scans. Sample size requirements are illustrated on cardiac, chest, and abdomenpelvis CT scans performed on a 320-row scanner and chest CT performed on a 16-row scanner. Results: Sample sizes for estimating ED vary considerably between scanners and protocols. Sample size increases as the required precision or confidence is higher and also as the anticipated ED is lower. For example, for a helical chest protocol, for 95% confidence and 5% precision for the ED, 30 measurements are required on the 320-row scanner and 11 on the 16-row scanner when the anticipated ED is 4 mSv; these sample sizes are 5 and 2, respectively, when the anticipated ED is 10 mSv. Conclusions: Applying the suggested scheme, it was found that even at modest sample sizes, it is feasible to estimate ED with high precision and a high degree of confidence. As CT technology develops enabling ED to be lowered, more MOSFET measurements are needed to estimate ED with the same

  12. Spatially resolved estimation of ozone-related mortality in the United States under two representative concentration pathways (RCPs) and their uncertainty

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

    Kim, Young-Min; Zhou, Ying; Gao, Yang; Fu, Joshua S.; Johnson, Brent A.; Huang, Cheng; Liu, Yang

    2014-11-16

    We report that the spatial pattern of the uncertainty in air pollution-related health impacts due to climate change has rarely been studied due to the lack of high-resolution model simulations, especially under the Representative Concentration Pathways (RCPs), the latest greenhouse gas emission pathways. We estimated future tropospheric ozone (O3) and related excess mortality and evaluated the associated uncertainties in the continental United States under RCPs. Based on dynamically downscaled climate model simulations, we calculated changes in O3 level at 12 km resolution between the future (2057 and 2059) and base years (2001–2004) under a low-to-medium emission scenario (RCP4.5) and amore » fossil fuel intensive emission scenario (RCP8.5). We then estimated the excess mortality attributable to changes in O3. Finally, we analyzed the sensitivity of the excess mortality estimates to the input variables and the uncertainty in the excess mortality estimation using Monte Carlo simulations. O3-related premature deaths in the continental U.S. were estimated to be 1312 deaths/year under RCP8.5 (95 % confidence interval (CI): 427 to 2198) and ₋2118 deaths/year under RCP4.5 (95 % CI: ₋3021 to ₋1216), when allowing for climate change and emissions reduction. The uncertainty of O3-related excess mortality estimates was mainly caused by RCP emissions pathways. Finally, excess mortality estimates attributable to the combined effect of climate and emission changes on O3 as well as the associated uncertainties vary substantially in space and so do the most influential input variables. Spatially resolved data is crucial to develop effective community level mitigation and adaptation policy.« less

  13. Radioactive decay data tables

    SciTech Connect (OSTI)

    Kocher, D.C.

    1981-01-01

    The estimation of radiation dose to man from either external or internal exposure to radionuclides requires a knowledge of the energies and intensities of the atomic and nuclear radiations emitted during the radioactive decay process. The availability of evaluated decay data for the large number of radionuclides of interest is thus of fundamental importance for radiation dosimetry. This handbook contains a compilation of decay data for approximately 500 radionuclides. These data constitute an evaluated data file constructed for use in the radiological assessment activities of the Technology Assessments Section of the Health and Safety Research Division at Oak Ridge National Laboratory. The radionuclides selected for this handbook include those occurring naturally in the environment, those of potential importance in routine or accidental releases from the nuclear fuel cycle, those of current interest in nuclear medicine and fusion reactor technology, and some of those of interest to Committee 2 of the International Commission on Radiological Protection for the estimation of annual limits on intake via inhalation and ingestion for occupationally exposed individuals.

  14. Sandia National Labs: PCNSC: IBA Table

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

    Departments Radiation, Nano Materials, & Interface Sciences > Radiation & Solid Interactions > Nanomaterials Sciences > Surface & Interface Sciences Semiconductor & Optical Sciences Energy Sciences Small Science Cluster Business Office News Partnering Research Ion Beam Analysis (IBA) Periodic Table (HTML) IBA Table (HTML) | IBA Table (135KB GIF) | IBA Table (1.2MB PDF) | IBA Table (33MB TIF) | Heavy Ion Backscattering Spectrometry (HIBS) | Virtual Lab Tour (6MB) The

  15. Offshore Wind Potential Tables

    Wind Powering America (EERE)

    Offshore wind resource by state and wind speed interval within 50 nm of shore. Wind Speed at 90 m (m/s) 7.0 - 7.5 7.5 - 8.0 8.0 - 8.5 8.5 - 9.0 9.0 - 9.5 9.5 - 10.0 >10.0 Total >7.0 State Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) California 11,439 (57,195) 24,864 (124,318) 23,059 (115,296) 22,852 (114,258) 13,185 (65,924) 15,231 (76,153) 6,926 (34,629) 117,555 (587,773) Connecticut 530 (2,652) 702 (3,508) 40

  16. Estimation of Net Ecosystem Carbon Exchange for the Conterminous UnitedStates by Combining MODIS and AmeriFlux Data

    SciTech Connect (OSTI)

    Xiao, Jingfeng; Zhuang, Qianlai; Baldocchi, Dennis D.; Law, Beverly E.; Richardson, Andrew D.; Chen, Jiquan; Oren, Ram; Starr, Gregory; Noormets, Asko; Ma, Siyan; Verma, Shashi B.; Wharton, Sonia; Wofsy, Steven C.; Bolstad, Paul V.; Burns, Sean P.; Cook, David R.; Curtis, Peter S.; Drake, Bert G.; Falk, Matthias; Fischer, Marc L.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Hollinger, David Y.; Katul, Gabriel G.; Litvak, Marcy; Martin, Timothy A.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Monson, Russell K.; Munger, J. William; Oechel, Walter C.; U, Kyaw Tha Paw; Schmid, Hans Peter; Scott, Russell L.; Sun, Ge; Suyker, Andrew E.; Torn, Margaret S.

    2009-03-06

    Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between the terrestrial biosphere and the atmosphere for regions or continents, flux tower measurements need to be extrapolated to these large areas. Here we used remotely-sensed data from the Moderate Resolution Imaging Spectrometer (MODIS) instrument on board NASA's Terra satellite to scale up AmeriFlux NEE measurements to the continental scale. We first combined MODIS and AmeriFlux data for representative U.S. ecosystems to develop a predictive NEE model using a regression tree approach. The predictive model was trained and validated using NEE data over the periods 2000-2004 and 2005-2006, respectively. We found that the model predicted NEE reasonably well at the site level. We then applied the model to the continental scale and estimated NEE for each 1 km x 1 km cell across the conterminous U.S. for each 8-day period in 2005 using spatially-explicit MODIS data. The model generally captured the expected spatial and seasonal patterns of NEE. Our study demonstrated that our empirical approach is effective for scaling up eddy flux NEE measurements to the continental scale and producing wall-to-wall NEE estimates across multiple biomes. Our estimates may provide an independent dataset from simulations with biogeochemical models and inverse modeling approaches for examining the spatiotemporal patterns of NEE and constraining terrestrial carbon budgets for large areas.

  17. Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data

    SciTech Connect (OSTI)

    Xiao, Jingfeng; Zhuang, Qianlai; Baldocchi, Dennis D.; Bolstad, Paul V.; Burns, Sean P.; Chen, Jiquan; Cook, David R.; Curtis, Peter S.; Drake, Bert G.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Hollinger, David Y.; Katul, Gabriel G.; Law, Beverly E.; Litvak, Marcy; Ma, Siyan; Martin, Timothy A.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Monson, Russell K.; Munger, J. William; Noormets, Asko; Oechel, Walter C.; Oren, Ram; Richardson, Andrew D.; Schmid, Hans Peter; Scott, Russell L.; Starr, Gregory; Sun, Ge; Suyker, Andrew E.; Torn, Margaret S.; Paw, Kyaw; Verma, Shashi B.; Wharton, Sonia; Wofsy, Steven C.

    2008-10-01

    Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between the terrestrial biosphere and the atmosphere for regions or continents, flux tower measurements need to be extrapolated to these large areas. Here we used remotely sensed data from the Moderate Resolution Imaging Spectrometer (MODIS) instrument on board the National Aeronautics and Space Administration's (NASA) Terra satellite to scale up AmeriFlux NEE measurements to the continental scale. We first combined MODIS and AmeriFlux data for representative U.S. ecosystems to develop a predictive NEE model using a modified regression tree approach. The predictive model was trained and validated using eddy flux NEE data over the periods 2000-2004 and 2005-2006, respectively. We found that the model predicted NEE well (r = 0.73, p < 0.001). We then applied the model to the continental scale and estimated NEE for each 1 km x 1 km cell across the conterminous U.S. for each 8-day interval in 2005 using spatially explicit MODIS data. The model generally captured the expected spatial and seasonal patterns of NEE as determined from measurements and the literature. Our study demonstrated that our empirical approach is effective for scaling up eddy flux NEE measurements to the continental scale and producing wall-to-wall NEE estimates across multiple biomes. Our estimates may provide an independent dataset from simulations with biogeochemical models and inverse modeling approaches for examining the spatiotemporal patterns of NEE and constraining terrestrial carbon budgets over large areas.

  18. Spatially Resolved Estimation of Ozone-related Mortality in the United States under Two Representative Concentration Pathways (RCPs) and their Uncertainty

    SciTech Connect (OSTI)

    Kim, Young-Min; Zhou, Ying; Gao, Yang; Fu, Joshua S.; Johnson, Brent; Huang, Cheng; Liu, Yang

    2015-01-01

    BACKGROUND: The spatial pattern of the uncertainty in climate air pollution health impact has rarely been studied due to the lack of high-resolution model simulations, especially under the latest Representative Concentration Pathways (RCPs). OBJECTIVES: We estimated county-level ozone (O3) and PM2.5 related excess mortality (EM) and evaluated the associated uncertainties in the continental United States in the 2050s under RCP4.5 and RCP8.5. METHODS: Using dynamically downscaled climate model simulations, we calculated changes in O3 and PM2.5 levels at 12 km resolution between the future (2057-2059) and present (2001-2004) under two RCP scenarios. Using concentration-response relationships in the literature and projected future populations, we estimated EM attributable to the changes in O3 and PM2.5. We finally analyzed the contribution of input variables to the uncertainty in the county-level EM estimation using Monte Carlo simulation. RESULTS: O3-related premature deaths in the continental U.S. were estimated to be 1,082 deaths/year under RCP8.5 (95% confidence interval (CI): -288 to 2,453), and -5,229 deaths/year under RCP4.5 (-7,212 to -3,246). Simulated PM2.5 changes resulted in a significant decrease in EM under the two RCPs. The uncertainty of O3-related EM estimates was mainly caused by RCP scenarios, whereas that of PM2.5-related EMs was mainly from concentration-response functions. CONCLUSION: EM estimates attributable to climate change-induced air pollution change as well as the associated uncertainties vary substantially in space, and so are the most influential input variables. Spatially resolved data is crucial to develop effective mitigation and adaptation policy.

  19. A wedge-based approach to estimating health co-benefits of climate change mitigation activities in the United States

    SciTech Connect (OSTI)

    Balbus, John M.; Greenblatt, Jeffery B.; Chari, Ramya; Millstein, Dev; Ebi, Kristie L.

    2015-02-01

    While it has been recognized that actions reducing greenhouse gas (GHG) emissions can have significant positive and negative impacts on human health through reductions in ambient fine particulate matter (PM2.5) concentrations, these impacts are rarely taken into account when analyzing specific policies. This study presents a new framework for estimating the change in health outcomes resulting from implementation of specific carbon dioxide (CO2) reduction activities, allowing comparison of different sectors and options for climate mitigation activities. Our estimates suggest that in the year 2020, the reductions in adverse health outcomes from lessened exposure to PM2.5 would yield economic benefits in the range of $6 to $14 billion (in 2008 USD), depending on the specific activity. This equates to between $40 and $93 per metric ton of CO2 in health benefits. Specific climate interventions will vary in the health co-benefits they provide as well as in potential harms that may result from their implementation. Rigorous assessment of these health impacts is essential for guiding policy decisions as efforts to reduce GHG emissions increase in scope and intensity.

  20. Electrochemical state and internal variables estimation using a reduced-order physics-based model of a lithium-ion cell and an extended Kalman filter

    SciTech Connect (OSTI)

    Stetzel, KD; Aldrich, LL; Trimboli, MS; Plett, GL

    2015-03-15

    This paper addresses the problem of estimating the present value of electrochemical internal variables in a lithium-ion cell in real time, using readily available measurements of cell voltage, current, and temperature. The variables that can be estimated include any desired set of reaction flux and solid and electrolyte potentials and concentrations at any set of one-dimensional spatial locations, in addition to more standard quantities such as state of charge. The method uses an extended Kalman filter along with a one-dimensional physics-based reduced-order model of cell dynamics. Simulations show excellent and robust predictions having dependable error bounds for most internal variables. (C) 2014 Elsevier B.V. All rights reserved.

  1. 2011 NISE Awards Summary Table

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

    Awards » 2011 NISE Summary Table 2011 NISE Awards Summary Table Investigator NERSC Repo Hours Awarded DOE Office Project Title Dmitri Babikov, Marquette University m409 1,450,000 BES Chemistry New potential energy surface for ozone molecule Connor Balance, Auburn University m41 600,000 Fusion Energy Hybrid OpenMP/MPI approach to R-matrix scattering Amitava Bhattacharjee, University of New Hampshire m148 1,000,000 Fusion Energy Global Effects on the Dynamics of Plasmoids and Flux Ropes during

  2. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    71.8 W 70.5 78.9 W 76.0 83.6 W 69.2 75.2 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  3. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    W 68.4 70.8 W W 78.6 W 85.7 81.8 W 69.3 73.8 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  4. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

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

    61.5 70.8 92.7 90.7 81.5 72.8 - 78.0 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

  5. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

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

    62.6 71.7 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

  6. Microsoft Word - table_C01

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

    19 Created on: 8/26/2016 12:27:31 PM Table C1. Standard error for natural gas deliveries and price by consumers, by state, June 2016 State Volume Relative Standard Error (Percent) Price (Dollars per Thousand Cubic Feet) Residential Commercial Industrial Total Residential Commercial Industrial Alabama 3.0 3.8 1.7 1.5 0.32 0.18 0.08 Alaska 0.0 0.0 0.0 0.0 0.00 0.00 0.00 Arizona 3.2 6.7 1.2 2.9 0.66 0.32 0.05 Arkansas 8.3 0.6 4.5 3.0 0.49 0.33 0.63 California 2.6 2.0 0.5 0.7 0.20 0.11 0.11 Colorado

  7. Equipment Design and Cost Estimation for Small Modular Biomass Systems, Synthesis Gas Cleanup, and Oxygen Separation Equipment; Task 9: Mixed Alcohols From Syngas -- State of Technology

    SciTech Connect (OSTI)

    Nexant Inc.

    2006-05-01

    This deliverable is for Task 9, Mixed Alcohols from Syngas: State of Technology, as part of National Renewable Energy Laboratory (NREL) Award ACO-5-44027, ''Equipment Design and Cost Estimation for Small Modular Biomass Systems, Synthesis Gas Cleanup and Oxygen Separation Equipment''. Task 9 supplements the work previously done by NREL in the mixed alcohols section of the 2003 technical report Preliminary Screening--Technical and Economic Assessment of Synthesis Gas to Fuels and Chemicals with Emphasis on the Potential for Biomass-Derived Syngas.

  8. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Alabama" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",123615,113429,135133,186320,213725,288261,368728,466093,474527,472326,424044,468920,460025,479716,532836,567267,598960,591936,609416,554692,537679,573035,537827,532016,534873 "Natural

  9. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Arkansas" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",75942,74612,77622,73584,67035,68211,73160,71833,72868,65726,78479,71176,70031,74549,76060,78823,77315,86718,97033,84291,72229,66566,70208,70953,73346 "Natural gas",24,32,43,31,32,28,24,20,22,26,21,32,23,11,21,21,18,18,15,67,17,17,18,17,17

  10. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Alaska" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2678,2913,2945,2496,2411,2528,2657,2436,2377,2224,2352,2003,4545,4179,12561,8368,14490,13929,13523,14632,10598,10080,10152,10210,15458 "Natural gas",13,10,10,11,11,11,12,11,15,13,15,9,10,10,13,11,13,11,11,9,12,12,10,12,12

  11. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Arizona" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",22489,23613,21336,32674,36693,36140,48338,56547,49229,52823,60439,69394,70766,72877,74807,78901,105738,130165,124044,124899,142176,134872,131544,129444,125036 "Natural gas",74,79,70,55,67,80,83,86,73,64,79,58,51,58,36,17,17,9,3,7,8,6,10,6,7

  12. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    California" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",1231,659,1067,2192,1784,1685,1521,3276,3458,3317,2740,2961,2100,5191,31138,26808,28804,28716,30315,28932,27401,36452,38256,34966,35118 "Natural

  13. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Colorado" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",28407,39974,42818,46853,49433,47566,60452,64793,64512,63888,64999,77596,91396,93908,90489,93098,100573,101386,94727,96615,107836,99745,101864,98418,102580 "Natural gas",26,27,26,25,26,31,33,35,32,30,26,24,21,24,17,12,11,11,9,11,6,2,1,1,1

  14. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Connecticut" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",908,770,7247,503,1311,1313,3007,2737,2879,2816,2847,3419,5880,12228,21148,826,6824,12175,11335,11392,9645,9330,10225,11777,12265 "Natural gas",29,29,34,32,28,19,15,19,23,17,13,9,20,9,10,8,7,6,2,4,6,3,3,4,4

  15. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    District of Columbia" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Natural gas",0,0,0,0," "," "," "," "," "," "," "," "," "," "," "," "," "," "," ","

  16. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Florida" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",99931,90222,83823,91500,119354,176269,216052,211528,216609,226357,259650,264498,286311,297404,417500,460041,508105,512033,464520,430505,458841,468879,540689,522031,480864 "Natural

  17. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Georgia" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",70007,90671,111585,201596,232586,271800,530275,680050,682504,642737,577847,569995,545792,527893,537663,539691,547446,536134,498669,508871,581609,714951,793006,802209,887372 "Natural

  18. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Hawaii" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",792,2209,1435,1287,1387,1663,1680,1060,1015,1274,1572,1475,2154,1433,12585,3354,4019,4820,4805,4357,3617,3211,2070,278,86 "Natural gas",403,373,325,426,95,121,93,89,89,110,122,127,106,76,902,582,579,537,455,588,53,50,52,51,49

  19. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Idaho" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2094,3029,2301,1616,3801,1603,3358,4111,1689,1787,4238,3737,3116,987,2999,3506,3816,3005,3148,3177,5267,6079,6088,2978,6107 "Natural gas",6,8,4,2,3,2,3,3,2,2,3,3,1,2,2,2,2,2,1,1,2,2,1,1,1

  20. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Illinois" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",187419,203816,190049,228280,255068,261594,379321,332295,339864,386689,422783,406276,405000,442941,533290,806603,915074,927928,828237,722001,838330,856101,888651,883212,931708 "Natural

  1. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Indiana" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",296237,272707,285211,381921,423894,422362,611096,728833,834982,883283,876816,817139,788519,806646,901203,970849,1004788,1031517,985754,929710,1254199,1273057,1252700,1466280,1403502 "Natural

  2. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Iowa" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",72805,92466,103353,107646,114216,99306,163998,147940,144691,148303,148788,152375,147800,153599,171226,170930,190205,168878,170396,182534,198945,218025,209712,224123,201125 "Natural gas",11,10,11,6,6,2,4,3,3,2,7,1,2,3,3,3,4,6,4,3,3,3,2,1,1

  3. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Kansas" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",31498,29975,32930,39191,44555,50230,93495,112481,108414,123188,114657,131419,124338,113912,112947,115880,117443,108221,116046,99115,71337,70094,65762,76140,85243 "Natural gas",4,6,17,6,7,6,6,2,2,2,1,2,3,4,2,64,4,1,2,6,6,4,3,10,7

  4. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Kentucky" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",199709,185073,183247,241651,265949,247826,338318,370877,418872,490422,507490,522200,471904,535303,584707,658445,624913,669016,642197,676214,895584,983464,893411,871431,902063 "Natural

  5. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Louisiana" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",63526,68216,73702,75879,71513,64087,68625,71467,89748,90139,96242,95639,97918,95986,101453,112255,109681,117039,94470,97854,126282,117281,110572,107938,99934 "Natural

  6. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Maine" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",559,540,292,401,546,476,1538,2006,2016,1840,1726,1423,1117,1593,6269,2349,2978,4015,3934,4090,4323,4505,4521,4465,5574 "Natural gas",8,8,11,13,14,14,13,13,12,15,20,22,23,22,7,0,0,0,0,0,0,0,0,0,0

  7. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Maryland" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",36332,37512,40857,51044,47095,214124,244867,278286,282500,284301,287448,272978,265412,259499,262294,261255,272677,254326,251603,229197,233251,251845,243295,238056,265492 "Natural gas",12,12,40,17,4,6,6,4,4,4,3,8,4,3,3,3,2,2,2,2,7,3,4,6,6

  8. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Massachusetts" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",3229,10397,11717,23520,37512,33573,42205,42039,39260,47569,45178,52634,58508,60644,69422,70840,70629,78943,69863,78900,70225,77311,93718,104570,100041 "Natural

  9. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Michigan" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",156939,200702,203862,230553,252712,294302,362921,358465,346823,362690,354593,369039,358670,370730,396468,406682,453444,439598,409709,388720,425868,392676,374114,405484,400043 "Natural

  10. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Minnesota" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",34022,30926,31068,52422,57174,66187,83399,85598,88204,89899,95334,91757,91775,77334,102028,108278,104657,109711,101136,97511,129370,125407,106236,90988,105228 "Natural gas",7,15,18,9,11,31,14,7,4,6,4,3,3,3,4,3,3,1,1,1,3,2,3,3,1

  11. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Mississippi" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",90609,77393,37116,43057,54267,40125,65730,67796,75871,66365,68531,68116,66065,69615,88588,78278,78763,76762,94981,82425,77122,89686,94690,97996,106348 "Natural

  12. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Missouri" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",149428,157176,149531,208591,255793,258025,278644,276798,279119,293134,292645,280869,247379,239803,214011,264723,301916,318865,368301,348474,537257,481519,683418,746419,794530 "Natural

  13. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Montana" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",14254,16726,13490,16901,20469,20711,19989,22596,19849,19767,20971,17185,19797,30725,23733,25315,24694,22706,20068,36432,20996,20385,22070,20386,17702 "Natural gas",0,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,1,1

  14. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Nebraska" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",63940,66824,63689,74955,71501,77133,76598,69205,71725,73730,74657,69360,68130,70701,60647,61435,58084,62785,65736,61065,56657,60780,53652,53558,51742 "Natural gas",0,0,2,0,0,0,1,1,6,3,0,0,0,2,0,0,0,0,0,1,0,0,0,1,1

  15. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Nevada" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",10164,7366,4640,5225,7841,7856,9315,8488,9169,53291,54356,51433,49197,49926,52960,48612,49659,50086,52898,50190,52644,52075,56550,54099,53261 "Natural gas",52,57,58,49,53,60,55,63,53,45,37,28,21,97,41,12,20,13,18,13,15,12,11,6,7

  16. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Hampshire" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2166,2689,1694,24041,36405,32333,36146,40115,38096,41306,37066,33607,38594,44473,46296,39840,40221,49137,41011,40508,37609,39548,42845,33246,41324 "Natural gas",8,8,16,15,13,11,14,7,11,10,7,15,0,0,1,0,0,0,0,0,0,0,0," ","

  17. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Jersey" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2395,2333,2866,4464,15060,12671,38115,50089,61099,69561,51500,50631,48855,50013,80835,63535,61420,73406,67588,58450,50184,56327,55383,57266,69123 "Natural gas",33,37,73,79,51,32,29,23,25,22,14,29,23,33,40,41,36,41,43,51,49,46,40,30,22

  18. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Mexico" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",12014,17706,16538,17799,16546,19273,22214,26645,31168,30757,38493,51035,50982,62371,69031,73913,81488,82737,78595,75755,63018,57673,58306,50395,59574 "Natural gas",43,23,22,23,22,21,20,17,18,9,8,9,10,14,11,12,14,11,12,168,9,8,7,8,9

  19. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    York" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",21804,21923,26957,48632,56528,51264,75552,102252,110055,133084,174467,205767,213903,217822,245827,243631,282135,265797,169786,235651,245005,257386,300430,290808,298461 "Natural

  20. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Carolina" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",43936,51793,63584,81442,127715,123709,246364,392943,482961,516957,488210,481288,481923,473655,497039,497620,532992,556780,522206,439975,415724,472747,424519,374981,378382 "Natural gas",62,54,43,36,21,9,8,8,4,7,4,8,8,4,2,2,2,1,1,2,1,2,1,1,1

  1. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Dakota" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",52698,56827,87164,94480,127427,132855,136415,137982,130699,138294,150488,141328,141498,156233,153590,191764,195793,178826,178368,210373,152684,147327,146371,189694,146402 "Natural gas",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1

  2. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Ohio" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",328298,314945,360893,649158,643705,664660,760207,1022707,1037604,1157246,1150521,1250636,1193241,1191814,1258662,1318060,1426879,1462973,1485827,1209189,2085965,2172699,2204132,2247165,2213291 "Natural

  3. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Oklahoma" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",74880,76673,78406,95907,89405,100412,108043,108024,114991,112210,108869,117506,115993,110039,102417,110454,109339,116982,114705,122615,106452,118616,118121,113826,109400 "Natural

  4. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Oregon" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",7425,13959,11463,13100,15640,11050,11305,14027,8697,12104,12828,13522,12580,18027,14858,17160,13840,7342,6383,6143,16823,14892,16478,10708,7280 "Natural gas",46,52,39,27,52,63,69,44,32,34,30,28,23,28,24,18,19,10,10,7,9,6,6,4,2

  5. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Pennsylvania" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",280590,262221,259319,338397,419602,635141,851401,958827,903023,1096135,996972,979095,949261,1041860,1113082,1049810,1118338,1159444,1158512,1191338,1209571,1240828,1266369,1269116,1288932 "Natural

  6. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Rhode Island" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Natural Gas",10,11,19,20,18,17,14,15,15,13,12,18,17,19,15,14,18,14,14,10,11,11,11,7,3 "Natural gas",2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0

  7. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Carolina" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",30379,35219,54683,80578,104316,104355,165245,177379,226662,226553,228180,216716,210658,216996,215214,230523,223531,207801,218040,191445,205896,195251,171280,177034,182269 "Natural

  8. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Dakota" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",13839,15332,12825,11249,13129,11929,13720,9194,11957,10723,14375,12596,25263,14439,14224,26837,24162,26742,16418,35460,33368,30740,31866,32623,31176 "Natural gas",1,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0 "Other","

  9. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Tennessee" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",80454,78177,89276,144447,143016,130005,234674,265029,290290,297970,341496,370895,374163,396595,500011,533235,563085,614328,610082,570892,849088,895318,843606,796681,838243 "Natural gas",4,7,20,7,4,1,1,0,0,0,0,2,1,1,3,1,2,1,1,2,1,1,3,1,2

  10. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Texas" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",334864,364291,337533,430430,458950,448084,480396,494970,576589,592090,585566,632119,612135,581623,594287,721440,716364,718321,683539,636769,563557,619731,562293,544624,534050 "Natural

  11. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Utah" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",23525,23545,21953,24864,28075,32614,24593,27565,37366,34547,37057,35348,32849,35716,33918,30837,33609,33601,32715,33485,29978,32977,30210,28162,31653 "Natural gas",22,17,17,12,12,15,18,19,8,1,3,6,3,3,2,1,1,1,1,3,2,1,1,1,0

  12. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Vermont" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Natural Gas",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 "Natural gas",38,37,26,36,40,40,39,24,39,46,47,41,42,47,52,42,45,47,46,44,13,10,9,10,8 "Petroleum",32,34,26,58,2,2,1,11,8,23,25,28,21,55,137,97,127,50,17,35,17,3,2,0,14

  13. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Virginia" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",55972,56438,49857,83949,117386,111860,136911,189547,190542,223296,200877,220539,279910,231117,277674,289507,268063,278805,263005,276636,220087,238627,227184,226261,213816 "Natural

  14. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Washington" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",3362,2820,1690,1695,3221,4203,3123,2707,2256,3945,7475,9309,19572,68959,85701,89418,76615,65080,80288,55300,71156,73657,73826,63973,62933 "Natural gas",36,43,21,19,41,46,43,33,30,29,23,23,22,43,41,17,15,12,19,18,17,12,7,2,2

  15. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    West Virginia" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",102380,93865,91218,107963,116023,184338,315497,388675,470639,483344,492024,558143,526538,681326,625874,713793,695681,701570,694797,630859,1091442,1045752,1102087,1068857,965899 "Natural

  16. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Wyoming" "Emission type", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",45629,49564,48004,85490,74270,83774,91179,91675,92333,96307,92960,92260,102300,94749,87414,106527,115147,107547,105501,113255,94338,82028,85538,84633,108365 "Natural gas",2,1,2,3,1,2,1,2,2,0,0,2,172,3,2,1,1,1,1,1,1,1,1,1,1

  17. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...0,0,0,0,0,0,0,0,0,0,0,0,0 "Petroleum",132,19,20,33,44,304,209,245,138,865,789,2220,1292,1947,1239,2061,2025,1831,2105,1837,2546,2773,3270,2157,2836 "Total",4276,4722,4981,3928,4187...

  18. Estimates of mercury flux into the United States from non-local and global sources : results from a 3-D CTM simulation.

    SciTech Connect (OSTI)

    Drewniak, B. A.; Kotamarthi, V. R.; Streets, D.; Kim, M.; Crist, K.; Ohio Univ.

    2008-11-01

    The sensitivity of Hg concentration and deposition in the United States to emissions in China was investigated by using a global chemical transport model: Model for Ozone and Related Chemical Tracers (MOZART). Two forms of gaseous Hg were included in the model: elemental Hg (HG(0)) and oxidized or reactive Hg (HGO). We simulated three different emission scenarios to evaluate the model's sensitivity. One scenario included no emissions from China, while the others were based on different estimates of Hg emissions in China. The results indicated, in general, that when Hg emissions were included, HG(0) concentrations increased both locally and globally. Increases in Hg concentrations in the United States were greatest during spring and summer, by as much as 7%. Ratios of calculated concentrations of Hg and CO near the source region in eastern Asia agreed well with ratios based on measurements. Increases similar to those observed for HG(0) were also calculated for deposition of HGO. Calculated increases in wet and dry deposition in the United States were 5-7% and 5-9%, respectively. The results indicate that long-range transcontinental transport of Hg has a non-negligible impact on Hg deposition levels in the United States.

  19. Table 2a. Electricity Consumption and Electricity Intensities...

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

    Administration Home Page Home > Commercial Buildings Home > Sq Ft Tables > Table 2a. Electricity Consumption per Sq Ft Table 2a. Electricity Consumption and Electricity...

  20. FY 2014 Budget Request Statistical Table | Department of Energy

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

    Statistical Table FY 2014 Budget Request Statistical Table PDF icon Stats Table FY2014.pdf More Documents & Publications FY 2009 Environmental Management Budget Request to Congress ...

  1. FY 2014 Budget Request Summary Table | Department of Energy

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

    PDF icon Summary Table by Appropriations PDF icon Summary Table by Organization More Documents & Publications FY 2014 Budget Request Statistical Table FY 2014 Budget Justification ...

  2. DOE Zero Energy Ready Home Second Production Builder Round Table

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

    Home Second Production Builder Round Table January 2015 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, subcontractors, or affliated partners, make any warranty, express or implied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or

  3. Microsoft Word - HERS Round-Table February 2016.docx

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

    First Leading Rater Round Table Summary March 2016 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, subcontractors, or affiliated partners, make any warranty, express or implied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represent

  4. table3.4_02.xls

    Gasoline and Diesel Fuel Update (EIA)

    ... Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding ... were Table 3.4 Number of Establishments by Fuel Consumption, 2002; Level: National Data; ...

  5. TableHC2.7.xls

    Gasoline and Diesel Fuel Update (EIA)

    ... Table HC7.7 Air-Conditioning Usage Indicators by Household Income, 2005 Below Poverty Line ... Table HC7.7 Air-Conditioning Usage Indicators by Household Income, 2005 Below Poverty Line ...

  6. TableHC2.10.xls

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

    ... Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line ... Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line ...

  7. Quantum Monte Carlo estimation of complex-time correlations for the study of the ground-state dynamic structure function

    SciTech Connect (OSTI)

    Rota, R.; Casulleras, J.; Mazzanti, F.; Boronat, J.

    2015-03-21

    We present a method based on the path integral Monte Carlo formalism for the calculation of ground-state time correlation functions in quantum systems. The key point of the method is the consideration of time as a complex variable whose phase δ acts as an adjustable parameter. By using high-order approximations for the quantum propagator, it is possible to obtain Monte Carlo data all the way from purely imaginary time to δ values near the limit of real time. As a consequence, it is possible to infer accurately the spectral functions using simple inversion algorithms. We test this approach in the calculation of the dynamic structure function S(q, ω) of two one-dimensional model systems, harmonic and quartic oscillators, for which S(q, ω) can be exactly calculated. We notice a clear improvement in the calculation of the dynamic response with respect to the common approach based on the inverse Laplace transform of the imaginary-time correlation function.

  8. International energy indicators. [Statistical tables and graphs

    SciTech Connect (OSTI)

    Bauer, E.K.

    1980-05-01

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  9. Code Tables | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    Code Tables U.S. Department of Energy / U.S. Nuclear Regulatory Commission Nuclear Materials Management & Safeguards System Code Tables Action Code The action code identifies the type of activity being reported in a transaction. The Action Code table shows the valid action codes. Nature of Transaction (TI) Code The financial code signifies the nature of the financial or contractual activity that is involved in the transaction. The Nature of Transaction (TI) Code table shows the valid action

  10. RSE Table 7.4 Relative Standard Errors for Table 7.4

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

    4 Relative Standard Errors for Table 7.4;" " Unit: Percents." " ",," "," ",," "," " "Economic",,"Residual","Distillate","Natural ","LPG and" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal" ,"Total United States" "Value of Shipments and Receipts"

  11. RSE Table 7.5 Relative Standard Errors for Table 7.5

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

    5 Relative Standard Errors for Table 7.5;" " Unit: Percents." " ",," "," ",," "," " "Economic",,"Residual","Distillate","Natural ","LPG and" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal" ,"Total United States" "Value of Shipments and Receipts"

  12. Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...

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

    839.2 135.0 1,251.9 See footnotes at end of table. 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State Energy Information Administration ...

  13. SECTION J - TABLE OF CONTENTS

    National Nuclear Security Administration (NNSA)

    Conformed to Mod 0108 DE-NA0000622 Section J Page i PART III - LIST OF DOCUMENTS, EXHIBITS, AND OTHER ATTACHMENTS SECTION J LIST OF APPENDICES TABLE OF CONTENTS Appendix A Statement of Work (Replaced by Mod 002; Modified Mod 016; Replaced Mod 029) Appendix B Performance Evaluation Plan (Replaced by Mods 002, 016, 020, 029, 0084) Appendix C Contractor's Transition Plan Appendix D Sensitive Foreign Nations Control Appendix E Performance Guarantee Agreement(s) Appendix F National Work Breakdown

  14. R A N K I N G S U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    7 Table C12. Total Energy Consumption Estimates, Real Gross Domestic Product (GDP), Energy Consumption Estimates per Real Dollar of GDP, Ranked by State, 2014 Rank Total Energy Consumption Real Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2009) Dollars State Thousand Btu per Chained (2009) Dollar 1 Texas 12,899.5 California 2,103.0 Louisiana 20.0 2 California 7,620.1 Texas 1,457.2 Wyoming 14.2 3 Louisiana 4,279.4 New York

  15. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    5 The real gross domestic product (GDP) data used in the U.S. Energy Information Administration State Energy Data System (SEDS) to calculate total energy consumed per chained (2009) dollar of output are shown in Tables D1 and D2. The data are the U.S. Department of Commerce, Bureau of Economic Analysis (BEA), real GDP estimates by state, beginning in 1997. The estimates are released in June of each year. For the United States, the national real GDP series from the National In- come and Product

  16. U.S. Energy Information Administration | State Energy Data 2014: Prices and Expenditures

    Gasoline and Diesel Fuel Update (EIA)

    47 The current-dollar gross domestic product (GDP) data used in the U.S. Energy Information Administration State Energy Data System (SEDS) to calculate total energy consumed per current dollar of output are shown in Tables B1 and B2. The data are the U.S. Department of Commerce, Bureau of Economic Analysis, current-dollar GDP estimates by state, beginning in 1997. The estimates are released June of each year. For the United States, the national current-dollar GDP series from the National Income

  17. 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...

  18. TableBuster V1.0

    Energy Science and Technology Software Center (OSTI)

    2003-06-06

    Brief Description:TableBuster enables Telelogic DOORS users to export tables with split merged cells from Microsoft Word into DOORS. Practical Application: Users of Telelogic DOORS will be more easily able to track and manage requirements that are initally defined in Microsoft Word tables containing split or merged cells. Method of Solution: TableSplitter contains two procedures. The Setup subroutine unlinks all Word fields in the active Word document. It next counts all the tables in the documentmore » and then calls the SplitCells subroutine. SplitCells splits the appropriate cells for each table, so a n row by m column table actually has n by m cells that DOORS can import.« less

  19. Table

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

    from (2012KE01): Energy Levels of 11 Li E x (MeV ± keV) J π ; T T 1 2 or Γ Decay Reactions g.s. 3 2 - ; 5 2 T 1 2 = 8.75 ± 0.14 ms β - 1, 2, 4, 5, 6, 8, 9 1.220 ± 40 Γ = 0.53 ± 0.15 MeV n 2, 6, 7, 9, 10 2.420 ± 50 Γ = 1.26 ± 0.30 MeV n 2, 4, 6, 7, 9, 10 3.700 ± 130 Γ < 200 keV n 7 4.860 ± 60 Γ < 100 keV n 2, 4, 9 6.230 ± 60 Γ < 100 keV n 2, 4, 9 11.300 n 2 1

  20. Table

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

    4 from (2012KE01): Energy levels of 11 Be E x (MeV ± keV) J π ; T T 1 2 or Γ c.m. (keV) Decay Reactions 0 1 2 + ; 3 2 T 1 2 = 13.76 ± 0.07 s β - 1, 3, 4, 5, 6, 8, 9, 10, 12, 14, 16, 17, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32 0.32004 ± 0.1 1 2 - T 1 2 = 115 ± 10 fs γ 4, 5, 6, 8, 9, 10, 14, 15, 16, 17, 19, 21, 22, 23, 26, 28, 29, 30, 33 1.783 ± 4 5 2 + Γ = 100 ± 10 n 4, 5, 6, 9, 10, 14, 23, 26, 28 2.654 ± 10 3 2 - a 206 ± 8 n 5, 6, 9, 10, 15, 16, 21, 22, 23, 28, 29 3.40 ± 6 ( 3 2 - ,

  1. Table

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

    8 from (2012KE01): Energy levels of 11 B E x J π ; T Γ cm (keV) Decay Reactions (MeV ± keV) 0 3 2 - ; 1 2 stable 2, 3, 7, 8, 11, 15, 16, 17, 18, 19, 22, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 67, 68, 69, 70, 71, 72, 73, 74 2.124693 ± 0.027 1 2 - 0.117 ± 0.004 eV γ 2, 7, 8, 11, 15, 16, 17, 18, 19, 26, 27, 28, 30, 32, 33, 35, 36, 37, 39, 40, 42, 44, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 67, 68, 69,

  2. Table

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

    38 from (2012KE01): Energy levels of 11 C a E x in 11 C J π ; T T 1 2 or Γ cm Decay Reactions (MeV ± keV) 0 3 2 - ; 1 2 T 1 2 = 20.364 ± 0.014 min β + 1, 2, 6, 7, 10, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 44 2.0000 ± 0.4 1 2 - T 1 2 = 7.1 ± 0.5 fs γ 2, 3, 6, 7, 10, 16, 17, 18, 19, 21, 22, 26, 28, 30, 31, 32, 33, 38, 39, 44 4.3188 ± 1.2 5 2 - < 8.3 fs γ 2, 3, 6, 7, 10, 16, 17, 19, 21, 22, 26, 28, 30, 31, 34, 38, 39, 44 4.8042

  3. Table

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

    5 from (2012KE01): Energy levels of 11 N E res (MeV ± keV) E x (MeV ± keV) J π ; T Γ (keV) Decay Reactions 1.49 ± 60 0 1 2 + ; 3 2 830 ± 30 p 1, 2, 3, 6 2.22 ± 30 0.73 ± 70 1 2 - 600 ± 100 p 1, 2, 3, 5, 6 3.06 ± 80 (1.57 ± 80) < 100 p 3 3.69 ± 30 2.20 ± 70 5 2 + 540 ± 40 p 1, 3, 5, 6 4.35 ± 30 2.86 ± 70 3 2 - 340 ± 40 p 1, 3, 5, 6 5.12 ± 80 (3.63 ± 100) ( 5 2 - ) < 220 p 5 5.91 ± 30 4.42 ± 70 ( 5 2 - ) p 3, 5, 6 6.57 ± 100 5.08 ± 120 ( 3 2 - ) 100 ± 60 p 3, 6 1

  4. Table

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

    6.13 from (1993TI07): Energy Levels of 16 O a E x (MeV ± keV) J π ; T K π Γ c.m. or τ m (keV) Decay Reactions 0 0 + ; 0 stable 5, 7, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 30, 32, 33, 34, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82 6.0494 ± 1.0 0 + ; 0 0 + τ m = 96 ± 7 psec π 5, 7, 11, 12, 13, 15, 17, 19, 21, 23, 30, 32, 33, 34, 38, 39, 43, 44,

  5. Table

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

    transitions in A 18-19 nuclei a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 18 O c 1.98 0 2 + 0 + (2.35 0.06) 10 -4 E2 3.32 ...

  6. Table

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

    - 17 a Nucleus E xi E xf J i (T i ) J f (T f ) (eV) Branching ratio Mult. S (W.u.) (MeV) (%) 16 N b 0.12 0 0 - (1) 2 - (1) (8.7 0.1) 10 -11 100 E2...

  7. Table

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

    transitions in A 5 - 10 a Nucleus E xi E xf (MeV) J i J f b (eV) Mult. S (W.u.) 5 He 16.75 0 3 2 + 3 2 - 2.1 0.4 E1 (2.3 0.4) 10 -3 5 Li...

  8. Table

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

    transitions in A 11 - 12 a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 11 Be 0.32 0 1 2 - 1 2 + (3.97 0.36) 10 -3 E1 0.360...

  9. Table

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

    transitions in A 20 nuclei a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 20 O c 1.67 0 2 + 0 + (6.28 0.24) 10 -5 E2 1.80 ...

  10. Table

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

    transitions in A 5 - 7 Nucleus E xi E xf J i J f a (eV) Mult. S (W.u.) b (MeV) 5 He 16.84 0 3 2 + 3 2 - 2.1 0.4 E1 (2.2 0.4) 10 -3...

  11. Table

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

    in A 13 - 15 a Nucleus E xi E xf J i (T i ) J i (T f ) Mult. S (MeV) (eV) (W.u.) 13 C b 3.09 0 1 2 + 1 2 - 0.43 0.04 E1 (3.9 0.4) ...

  12. Table

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

    transitions in A 18 - 20 a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 18 O c 1.98 0 2 + 0 + (2.35 0.06) 10 -4 E2 3.32 ...

  13. Table

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

    electromagnetic transitions in A 11 Nucleus E xi E xf J i J f Mult. W (MeV) (eV) (W.u.) 11 Be 0.32 0 1 2 - 1 2 + (3.97 0.35) 10 -3...

  14. Table

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

    5.4 from (1991AJ01): Energy levels of 15 N a E x J ; T m or Decay Reactions (MeV keV) c.m. (keV) 0 1 2 - ; 1 2 - stable 3, 4, 5, 6, 13, 14, 16, 17, 18, 19, 20, 24, 25,...

  15. Table

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

    1.0 fs 5, 7, 9, 14, 15, 19, 20, 23, 24, 25 5.2409 0.3 5 2 + 3.25 0.30 ps 4, 5, 6, 7, 9, 14, 15, 18, 19, 20, 23, 24, 25, 27 g +0.248 0.026 6.1763 1.7 3 2 -...

  16. 1999 Commercial Buildings Energy Consumption Survey Detailed Tables

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

    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

  17. By Coal Destination State

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

    Destination State ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal

  18. By Coal Origin State

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

    Origin State ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal

  19. R A N K I N G S U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    5 Table C10. Energy Consumption Estimates by End-Use Sector, Ranked by State, 2014 Rank Residential Sector Commercial Sector Industrial Sector a Transportation Sector Total Consumption a State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,709.5 Texas 1,638.8 Texas 6,288.8 Texas 3,262.4 Texas 12,899.5 2 California 1,397.4 California 1,418.5 Louisiana 3,024.3 California 2,948.3 California 7,620.1 3 Florida 1,199.2 New York 1,134.8 California

  20. R A N K I N G S U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    8 Table C13. Energy Consumption Estimates per Capita by End-Use Sector, Ranked by State, 2014 Rank Residential Sector Commercial Sector Industrial Sector Transportation Sector Total Consumption State Million Btu State Million Btu State Million Btu State Million Btu State Million Btu 1 North Dakota 105.1 District of Columbia 170.2 Louisiana 650.5 Alaska 221.2 Louisiana 920.5 2 West Virginia 96.3 North Dakota 111.4 Wyoming 524.9 Wyoming 203.1 Wyoming 916.7 3 Missouri 92.4 Wyoming 106.8 North

  1. Estimating Methods

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

    1997-03-28

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  2. Table-top job analysis

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    The purpose of this Handbook is to establish general training program guidelines for training personnel in developing training for operation, maintenance, and technical support personnel at Department of Energy (DOE) nuclear facilities. TTJA is not the only method of job analysis; however, when conducted properly TTJA can be cost effective, efficient, and self-validating, and represents an effective method of defining job requirements. The table-top job analysis is suggested in the DOE Training Accreditation Program manuals as an acceptable alternative to traditional methods of analyzing job requirements. DOE 5480-20A strongly endorses and recommends it as the preferred method for analyzing jobs for positions addressed by the Order.

  3. SALTSTONE DISPOSAL FACILITY: DETERMINATION OF THE PROBABLE MAXIMUM WATER TABLE ELEVATION

    SciTech Connect (OSTI)

    Hiergesell, R

    2005-04-01

    A coverage depicting the configuration of the probable maximum water table elevation in the vicinity of the Saltstone Disposal Facility (SDF) was developed to support the Saltstone program. This coverage is needed to support the construction of saltstone vaults to assure that they remain above the maximum elevation of the water table during the Performance Assessment (PA) period of compliance. A previous investigation to calculate the historical high water table beneath the SDF (Cook, 1983) was built upon to incorporate new data that has since become available to refine that estimate and develop a coverage that could be extended to the perennial streams adjacent to the SDF. This investigation incorporated the method used in the Cook, 1983 report to develop an estimate of the probable maximum water table for a group of wells that either existed at one time at or near the SDF or which currently exist. Estimates of the probable maximum water table at these wells were used to construct 2D contour lines depicting this surface beneath the SDF and extend them to the nearby hydrologic boundaries at the perennial streams adjacent to the SDF. Although certain measures were implemented to assure that the contour lines depict a surface above which the water table will not rise, the exact elevation of this surface cannot be known with complete certainty. It is therefore recommended that the construction of saltstone vaults incorporate a vertical buffer of at least 5-feet between the base of the vaults and the depicted probable maximum water table elevation. This should provide assurance that the water table under the wet extreme climatic condition will never rise to intercept the base of a vault.

  4. Environmental Regulatory Update Table, November 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-12-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental Regulatory Update Table, October 1990

    SciTech Connect (OSTI)

    Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1990-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental Regulatory Update Table, December 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Environmental Regulatory Update Table, October 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental Regulatory Update Table, September 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental Regulatory Update Table, August 1991

    SciTech Connect (OSTI)

    Houlberg, L.M., Hawkins, G.T.; Salk, M.S.

    1991-09-01

    This Environmental Regulatory Update Table (August 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental regulatory update table, July 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-08-01

    This Environmental Regulatory Update Table (July 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Environmental Regulatory Update Table, December 1989

    SciTech Connect (OSTI)

    Houlbert, L.M.; Langston, M.E. ); Nikbakht, A.; Salk, M.S. )

    1990-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  12. Environmental regulatory update table, March 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-04-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental Regulatory Update Table, April 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. 1995 CECS C&E Tables

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

    15. Season of Peak Electricity Demand, Number of Buildings and Floorspace, 1995 Table 16. Electricity Consumption and Conditional Energy Intensity by Season of Peak Demand, 1995...

  15. table7.9_02.xls

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

    ... Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding ... example, LPG and residual and distillate fuel oil) purchased, and associated ...

  16. 1995 CECS C&E Tables

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  17. TABLES1.CHP:Corel VENTURA

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

    Energy Information AdministrationPetroleum Supply Monthly, September 2004 2 Table S1. Crude Oil and Petroleum Products Overview, 1988 - Present (Continued) (Thousand Barrels...

  18. TABLE11.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    (Thousand Barrels) Table 11. PAD District II-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum January-July 2004 Products, Crude Oil...

  19. TABLE15.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Table 15. PAD District III-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...

  20. TABLE19.CHP:Corel VENTURA

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

    Table 19. PAD District IV-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...