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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 2009 State Table

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

    State Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request 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, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE

  6. FY 2010 State Table

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

    State Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request 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, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the

  7. 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

  8. 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

  9. 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

  10. Table 1.6 State-Level Energy Consumption, Expenditure, and Price Estimates, 2010

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

    6 State-Level Energy Consumption, Expenditure, and Price Estimates, 2010 Rank Consumption Consumption per Capita Expenditures 1 Expenditures 1 per Capita Prices 1 Trillion Btu Million Btu Million Dollars 2 Dollars 2 Dollars 2 per Million Btu 1 Texas 11,769.9 Wyoming 948.1 Texas 137,532 Alaska 8,807 Hawaii 30.75 2 California 7,825.7 Alaska 898.5 California 117,003 Louisiana 8,661 District of Columbia 26.19 3 Florida 4,381.9 Louisiana 894.4 New York 61,619 Wyoming 7,904 Connecticut 25.63 4

  11. 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...

  12. 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

  13. 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 PDF icon State Table FY2014.pdf More Documents & Publications FY 2014 Budget Request Laboratory Table FY 2007 Congressional Budget Request FY 2007 Congressional

  14. Distribution System State Estimation

    Office of Scientific and Technical Information (OSTI)

    This Notice shall be affixed to any reproductions of these data in whole or in part. Executive Summary State estimation is a key enabler for any number of "smart grid" applications ...

  15. 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...

  16. Prod_Tables_2013.indd

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

    State Energy Production Estimates 1960 Through 2013 2013 Summary Tables U.S. Energy Information Administration | State Energy Data 2013: Production 1 Table P1. Energy Production ...

  17. 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

  18. 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.

  19. State Historical Tables for 2001 - 2003

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

    3 Released: November 23, 2010" "YEAR","STATE","ELECTRIC POWER INDUSTRY","OPERATING REVENUE (Dollars)","OPERATING EXPENSES (Dollars)","MAINTENANCE (Dollars)","DEPRECIATION (Dollars)","AMORTIZATION (Dollars)","TAXES (Dollars)","INCOME (Dollars) " 2001,"AK","Public Generating Utilities",111943315,102264618,9387481,39295128,514986,3739749,9678697

  20. State Historical Tables for 2001 - 2004

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

    4 Released: November 23, 2010 " "YEAR","STATE","ELECTRIC POWER INDUSTRY ","OPERATING REVENUE (Dollars)","OPERATING EXPENSES (Dollars)","MAINTENANCE (Dollars)","DEPRECIATION (Dollars)","AMORTIZATION (Dollars)","TAXES (Dollars)","INCOME (Dollars) " 2001,"AL","PUBLIC NON-GENERATING UTILITIES",929668740,876713550,23552342,28323485,21902,27740202,52955190

  1. Table B1. Summary statistics for natural gas in the United States...

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

    8 Table B1. Summary statistics for natural gas in the United States, metric equivalents, ... Gas Annual 199 Table B1. Summary statistics for natural gas in the United states, ...

  2. 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.}

  3. 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...

  4. 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.

  5. 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...

  6. 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...

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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...

  14. 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 of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.

  15. 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.

  16. 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.

  17. 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.

  18. Microsoft Word - table_26.doc

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

    Fueled Vehicles"; state agencies; Form EIA-23, "Annual Survey of Domestic Oil and Gas Reserves"; PointLogic Energy; DI; Ventyz; and EIA estimates based on historical data. Table 27...

  19. 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.

  20. 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"

  1. Table 4.1 Technically Recoverable Crude Oil and Natural Gas Resource Estimates, 2009

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

    Technically Recoverable Crude Oil and Natural Gas Resource Estimates, 2009 Region Proved Reserves 1 Unproved Resources Total Technically Recoverable Resources 2 Crude Oil and Lease Condensate (billion barrels)<//td> 48 States 3 Onshore 14.2 112.6 126.7 48 States 3 Offshore 4.6 50.3 54.8 Alaska 3.6 35.0 38.6 Total U.S. 22.3 197.9 220.2 Dry Natural Gas 4 (trillion cubic feet)<//td> Conventionally Reservoired Fields 5 105.5 904.0 1,009.5 48 States 3 Onshore Gas 6 81.4 369.7 451.1 48

  2. 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

  3. 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...

  4. 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...

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

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

    3 Primary Energy Consumption Estimates by Source, 1949-2011 (Quadrillion Btu) Year Fossil Fuels Nuclear Electric Power Renewable Energy 1 Electricity Net Imports 3 Total Coal Coal ...

  6. 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:...

  7. 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

  8. 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

  9. 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.

  10. 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...

  11. 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...

  12. 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

  13. 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

  14. 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 Electrolysis ...

  15. R A N K I N G S U.S. Energy Information Administration | State...

    Gasoline and Diesel Fuel Update (EIA)

    20 Table E16. Motor Gasoline Price and Expenditure Estimates, Ranked by State, 2013 Rank Prices Expenditures Expenditures per Person State Dollars per Million Btu State Million...

  16. ARM Site Atmospheric State Best Estimates for AIRS Validation

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

    Site Atmospheric State Best Estimates for AIRS Validation D. C. Tobin, H. E. Revercomb, W. F. Feltz, R. D. Knuteson, and D. D. Turner Space Science and Engineering Center University of Wisconsin-Madison Madison, Wisconsin B. M. Lesht Environmental Research Division Argonne National Laboratory Argonne, Illinois L. Strow University of Maryland College Park, Maryland C. Barnet Joint Center for Earth Systems Technology Baltimore, Maryland E. Fetzer National Aeronautics Space Administration Jet

  17. EIA - Greenhouse Gas Emissions - Table-Figure Notes and Sources

    Gasoline and Diesel Fuel Update (EIA)

    A1. Notes and Sources Tables Chapter 1: Greenhouse gas emissions overview Table 1. U.S. emissions of greenhouse gases, based on global warming potential, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008, DOE/EIA-0573(2008) (Washington, DC, December 2009). Global warming potentials: Intergovernmental Panel on Climate Change, Climate Change 2007: The Physical

  18. 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 resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.

  19. A = 7 General Tables

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

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

  20. 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

  1. 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

  2. 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 – –

  3. 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...

  4. 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 Models Other Models Model Calculations Complex Reactions Involving 6He Electromagnetic Transitions Muon and Neutrino Capture and Reactions Reactions Involving pions, Other Mesons and Baryon States Photodisintegration Astrophysics Hypernuclei

  5. 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 Reactions Involving 6Li Model Calculations Electromagnetic Transitions Muon and Neutrino Capture and Reactions Reactions Involving Pions, Other Mesons and Baryon States Light-ion and Neutron Induced Reactions Pions Hypernuclei Reactions Involving Antiprotons Astrophysics

  6. 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.

  7. R A N K I N G S U.S. Energy Information Administration | State...

    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, 2013 Rank Total Energy...

  8. 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...

  9. 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...

  10. 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,...

  11. 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"...

  12. 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 transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.

  13. 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 =

  14. Table 7

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

    1 Table 7 Created on: 4/27/2016 9:48:20 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

  15. 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 Model Complex Reactions Astrophysics Model Calculations Light-ion and Neutron Induced Reactions Electron Scattering Muon Catalyzed Fusion Other Fusion Photodisintegration Polarization Pions Hypernuclei

  16. 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

  17. 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"...

  18. 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"...

  19. 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.

  20. 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...

  1. Table 4. Biodiesel producers and production capacity by state, February 2016

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

    Biodiesel producers and production capacity by state, February 2016" "State","Number of producers","Annual production capacity (million gallons per year)" "Alabama",1,9 "Alaska",1,0 "Arizona",1,2 "Arkansas",2,63 "California",8,64 "Colorado","-","-" "Connecticut",1,15 "Delaware","-","-" "District of

  2. Table HC1-7a. Housing Unit Characteristics by Four Most Populated States,

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

    7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.0 1.0 1.3 1.7 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Census Region and Division Northeast ..................................................... 20.3 7.1 -- -- -- NF New England

  3. 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....

  4. 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

  5. 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

  6. 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

  7. "Table HC15.3 Household Characteristics by Four Most Populated States, 2005"

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

    3 Household Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Household Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Household Size" "1 Person",30,1.8,1.9,2,3.2 "2 Persons",34.8,2.2,2.3,2.4,3.2 "3 Persons",18.4,1.1,1.3,1.2,1.8

  8. 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...................................................................

  9. 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 PDF icon Lab Table FY2014.pdf More Documents & Publications FY 2014 Budget Request State Table Fiscal Year 2013 President's Budget Request Fiscal Year 2013 President's

  10. Table 10.5 Estimated Number of Alternative-Fueled Vehicles in Use and Fuel Consumption, 1992-2010

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

    Estimated Number of Alternative-Fueled Vehicles in Use and Fuel Consumption, 1992-2010 Year Alternative and Replacement Fuels 1 Liquefied Petroleum Gases Compressed Natural Gas Liquefied Natural Gas Methanol, 85 Percent (M85) 3 Methanol, Neat (M100) 4 Ethanol, 85 Percent (E85) 3,5 Ethanol, 95 Percent (E95) 3 Elec- tricity 6 Hydro- gen Other Fuels 7 Subtotal Oxygenates 2 Bio- diesel 10 Total Methyl Tertiary Butyl Ether 8 Ethanol in Gasohol 9 Total Alternative-Fueled Vehicles in Use 11

  11. 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

  12. 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

  13. 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.

  14. 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.

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

    Broader source: Energy.gov [DOE]

    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.

  16. 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.

  17. 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...

  18. Fuel Tables.indd

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

    8: Solar Energy Consumption Estimates, 2014 State Electric Power Residential a Commercial ... due to independent rounding. Sources: Data sources, estimation procedures, and ...

  19. 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 ...

  20. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (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 ...

  1. Fuel Tables.indd

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

    F7: Distillate Fuel Oil Consumption Estimates, 2014 State Residential Commercial ... value less than 0.05. Notes: Distillate fuel oil estimates include biodiesel blended ...

  2. 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,

  3. 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...

  4. 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...

  5. 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...

  6. 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.

  7. 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....

  8. 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....

  9. 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...

  10. 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 ...

  11. 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 ...

  12. 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 ...

  13. Fuel Tables.indd

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

    1: Kerosene Consumption, Price, and Expenditure Estimates, 2014 State Consumption Prices Expenditures Residential Commercial Industrial Total Residential Commercial Industrial ...

  14. 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 ...

  15. Fuel Tables.indd

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

    2: Liquefied Petroleum Gases Consumption Estimates, 2014 State Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total ...

  16. 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.

  17. 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.

  18. U.S. Energy Information Administration | State Energy Data 2013...

    Annual Energy Outlook [U.S. Energy Information Administration (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 ...

  19. 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...

  20. 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...

  1. 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...

  2. 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.

  3. 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

  4. 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...

  5. 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

  6. 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...

  7. 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...

  8. 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...

  9. A=19 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 19.1 in PS or PDF. Table 19.2 in PS or PDF. Table 19.3 in PS or PDF. Table 19.4...

  10. A=20 Tables

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

    (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...

  11. Report Tables

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

    3945 8191 10161 10799 Infrastructure 1087 7608 14186 33190 Mooring/Foundation 1264 8330 37594 72750 Device Structural Components 3817 26838 118871 230967 Power Conversion Chain 588 4723 20734 39382 Subsystem Integration & Profit Margin 441 3156 13961 27035 Installation 5909 9082 21531 37860 Contingency 1705 6793 23704 45198 Total 18756 74721 260742 497181 Capex and Opex Table Rounding 1 # of digits to zero Capex 1 Unit 10 Units 50 Units 100 Units $ / kW $ / kW $ / kW $ / kW Development 10950

  12. Report Tables

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

    5205 22990 31387 30857 Infrastructure 1111 7850 16188 35610 Mooring/Foundation 835 7442 36179 70300 Device Structural Components 7682 54017 239250 464862 Power Conversion Chain 1637 9749 34184 58813 Subsystem Integration & Profit Margin 932 6377 27343 52367 Installation 5909 9082 21531 37860 Contingency 2331 11751 40606 75067 Total 25642 129258 446668 825736 Capex and Opex Table Rounding 1 # of digits to zero Capex 1 Unit 10 Units 50 Units 100 Units $ / kW $ / kW $ / kW $ / kW Development

  13. Fuel Tables.indd

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

    3: Nuclear Energy Consumption, Price, and Expenditure Estimates, 2014 State Nuclear Electric Power Nuclear Fuel Consumption Prices Expenditures Million Kilowatthours Trillion Btu ...

  14. Fuel Tables.indd

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

    F18: Coal Price and Expenditure Estimates and Imports and Exports of Coal Coke, 2013 State Coal Coal Coke Prices Expenditures Prices Expenditures Residential Commercial Industrial ...

  15. Fuel Tables.indd

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

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

  16. Fuel Tables.indd

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

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

  17. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (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 ...

  18. Fuel Tables.indd

    Gasoline and Diesel Fuel Update (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 ...

  19. 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 ...

  20. Fuel Tables.indd

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

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

  1. Fuel Tables.indd

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

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

  2. Fuel Tables.indd

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

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

  3. "Table HC15.1 Housing Unit Characteristics by Four Most Populated States, 2005"

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

    Housing Unit Characteristics by Four Most Populated States, 2005" " Million Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Housing Unit Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Census Region and Division" "Northeast",20.6,7.1,"N","N","N" "New

  4. "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

  5. "Table HC15.11 Home Electronics Characteristics by Four Most Populated States, 2005"

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

    1 Home Electronics Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Home Electronics Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Personal Computers" "Do Not Use a Personal Computer ",35.5,3,2,2.7,3.1 "Use a Personal

  6. "Table HC15.12 Home Electronics Usage Indicators by Four Most Populated States, 2005"

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

    2 Home Electronics Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Home Electronics Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Personal Computers" "Do Not Use a Personal Computer",35.5,3,2,2.7,3.1 "Use a Personal

  7. "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

  8. "Table HC15.2 Living Space Characteristics by Four Most Populated States, 2005"

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

    2 Living Space Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Living Space Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.4,"Q","Q",0.5 "500

  9. "Table HC15.4 Space Heating Characteristics by Four Most Populated States, 2005"

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

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

  10. "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

  11. "Table HC15.6 Air Conditioning Characteristics by Four Most Populated States, 2005"

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

    6 Air Conditioning Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Air Conditioning Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Do Not Have Cooling Equipment",17.8,1.8,"Q","Q",4.9 "Have Cooling Equipment",93.3,5.3,7,7.8,7.2

  12. "Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005"

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

    7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Air Conditioning Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Do Not Have Cooling Equipment",17.8,1.8,"Q","Q",4.9 "Have Cooling Equipment",93.3,5.3,7,7.8,7.2

  13. "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

  14. 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.

  15. 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.

  16. 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.

  17. 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 National Renewable Energy Laboratory Technical Report NREL/TP-6A20-64503 July 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable

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

    Energy Savers [EERE]

    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

  19. "Table HC15.8 Water Heating Characteristics by Four Most Populated States, 2005"

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

    8 Water Heating Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Water Heating Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Number of Water Heaters" "1.",106.3,6.5,6.9,7.4,11.7 "2 or More",3.7,"Q","Q",0.5,0.4 "Do

  20. 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

  1. 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...

  2. 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

  3. 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

  4. 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...

  5. 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 ...

  6. 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.

  7. 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.

  8. Microsoft Word - table_13.doc

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

    33 Table 13 Table 13. Activities of underground natural gas storage operators, by state, February 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 9,640 20,669 30,309 13,768 199.5 3,081 2,367 Alaska a 5 83,592 67,915 14,197 24,790

  9. 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.

  10. 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...

  11. 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...

  12. 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...

  13. 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

  14. 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 captured the variability of the HWSD SOC across the different dominant plant functional types (PFTs) at global scale. The numerical correlation between the calculated and HWSD SOC was, however, weak at both point and global scales, suggesting that the models used in describing biogeochemical processes in CLM needs improvements and/or HWSD needs updating as suggested by other studies. Besides SOC, the steady state solution also includes all other state variables simulated by a spin-up run, such as NPP, GPP, total vegetation C etc., which makes the developed approach a promising tool to efficiently estimate global SOC distribution and evaluate and compare different aspects simulated by different CN mechanisms in the model.

  15. 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 captured the variability of the HWSD SOC across the different dominant plant functional types (PFTs) at global scale. The numerical correlation between the calculated and HWSD SOC was, however, weak at both point and global scales, suggesting that the models used in describing biogeochemical processes in CLM needs improvements and/or HWSD needs updating as suggested by other studies. Besides SOC, the steady state solution also includes all other state variables simulated by a spin-up run, such as NPP, GPP, total vegetation C etc., which makes the developed approach a promising tool to efficiently estimate global SOC distribution and evaluate and compare different aspects simulated by different CN mechanisms in the model.« less

  16. 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.

  17. 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.

  18. 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.

  19. 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...

  20. Evaluation of Various Methods for Estimating Global Solar Radiation in the Southeastern United States

    SciTech Connect (OSTI)

    Woli, Prem; Paz, Joel O.

    2011-12-23

    Global solar radiation Rg is an important input for crop models to simulate crop responses. Because the scarcity of long and continuous records of Rg is a serious limitation in many countries, Rg is estimated using models. For crop-model application, empirical Rg models that use commonly measured meteorological variables, such as temperature and precipitation, are generally preferred. Although a large number of models of this kind exist, few have been evaluated for conditions in the United States. This study evaluated the performances of 16 empirical, temperature- and/or precipitation-based Rg models for the southeastern United States. By taking into account spatial distribution and data availability, 30 locations in the region were selected and their daily weather data spanning eight years obtained. One-half of the data was used for calibrating the models, and the other half was used for evaluation. For each model, location-specific parameter values were estimated through regressions. Models were evaluated for each location using the root-mean-square error and the modeling efficiency as goodness-of-fit measures. Among the models that use temperature or precipitation as the input variable, the Mavromatis model showed the best performance. The piecewise linear regression–based Wu et al. model (WP) performed best not only among the models that use both temperature and precipitation but also among the 16 models evaluated, mainly because it has separate relationships for low and high radiation levels. The modeling efficiency of WP was from ~5% to more than 100% greater than those of the other models, depending on models and locations.

  1. 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....

  2. 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.

  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. 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

  5. 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,

  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. 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

  8. 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

  9. 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

  10. 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.

  11. Microsoft Word - table_02

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

    5 Created on: 4/27/2016 10:43:40 AM 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

  12. 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, ...

  13. 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.

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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) -...

  20. 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) -...

  1. 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) -...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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) -...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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) -...

  14. 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...

  15. 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...

  16. 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) -...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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.

  6. 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.

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

    Broader source: Energy.gov [DOE]

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

  8. CBECS Buildings Characteristics --Revised Tables

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

    Buildings Use Tables (24 pages, 129 kb) CONTENTS PAGES Table 12. Employment Size Category, Number of Buildings, 1995 Table 13. Employment Size Category, Floorspace, 1995 Table 14. Weekly Operating Hours, Number of Buildings, 1995 Table 15. Weekly Operating Hours, Floorspace, 1995 Table 16. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Number of Buildings, 1995 Table 17. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Floorspace, 1995 These data are from the

  9. 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...

  10. 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.

  11. TABLE14.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    ... barrels): Alaska: State - 6,171; California: State - 1,870; Louisiana: State - ... Division estimates based on Form EIA-182, "Domestic Crude Oil First Purchase Report" data. ...

  12. 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.

  13. 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 Calculations Projectile Fragmentation and Multifragmentation Astrophysical b Decay Astrophysical Neutrinos Hypernuclei, Mesons and Other Exotic Particles Applications

  14. 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.

  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. Microsoft Word - table_01.doc

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

    3 Table 1 Created on: 4/27/2016 11:07:44 AM 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 Total 29,523 25,562 1,357

  17. 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...

  18. CBECS Buildings Characteristics --Revised Tables

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

    Geographic Location Tables (24 pages, 136kb) CONTENTS PAGES Table 3. Census Region, Number of Buildings and Floorspace, 1995 Table 4. Census Region and Division, Number of Buildings, 1995 Table 5. Census Region and Division, Floorspace, 1995 Table 6. Climate Zone, Number of Buildings and Floorspace, 1995 Table 7. Metropolitan Status, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey

  19. Table_of_Contents

    Office of Environmental Management (EM)

    1: Points of Entry/Exit and Transporters Table 1: Points of Entry/Exit and Transporters PDF icon POEE List.pdf More Documents & Publications EA-262-A TransCanada Power Marketing Ltd EA-262-C TransCanada Power Marketing Ltd EA-262-B TransCanada Power Marketing Ltd

    2: U.S. Geographic Areas and Census Regions Table 2: U.S. Geographic Areas and Census Regions PDF icon Table 2: U.S. Geographic Areas and Census Regions More Documents & Publications Memorandum Summarizing Ex Parte

  20. Tables of Energy Levels

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

    Tables 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 the TUNL and FAS publications of "Energy Levels of Light Nuclei" for A = 4 - 20. If your browser does not support image maps or you would like the choice of PostScript and PDF formats for the tables, please view the list below. Click on the button corresponding to the nucleus for which you would like to

  1. 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.

  2. 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 ...

  3. TABLE OF CONTENTS

    Energy Savers [EERE]

    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

  4. Table_of_Contents

    Energy Savers [EERE]

    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

  5. 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

  6. 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

  7. 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

  8. 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...

  9. 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 CollegeUniversity (campus level) 244 63% 104 Food Sales 570 86% 193 ...

  10. 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.

  11. 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,

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. CBECS Buildings Characteristics --Revised Tables

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

    Percentage Tables (16 pages, 92 kb) CONTENTS PAGES Table 29. Percent of Floorspace Heated, Number of Buildings and Floorspace, 1995 Table 30. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 1995 Table 31. Percent of Floorspace Lit when Open, Number of Buildings and Floorspace, 1995 Table 32. Heated, Cooled, and Lit Buildings, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial

  18. CBECS Buildings Characteristics --Revised Tables

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

    Conservation Tables (16 pages, 86 kb) CONTENTS PAGES Table 41. Energy Conservation Features, Number of Buildings and Floorspace, 1995 Table 42. Building Shell Conservation Features, Number of Buildings, 1995 Table 43. Building Shell Conservation Features, Floorspace, 1995 Table 44. Reduction in Equipment Use During Off Hours, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of

  19. 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.

  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. EIA - State Electricity Profiles

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

    United States Electricity Profile 2014 Table 1. 2014 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,068,422 Electric ...

  17. 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

  18. 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

  19. 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

  20. 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

  1. FY 2007 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance............................................ 1,779,399 1,791,372 1,917,331 +125,959 +7.0%

  2. FY 2008 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance........................................... 1,781,242 1,917,331 2,187,943 +270,612 +14.1%

  3. Table of Contents

    Energy Savers [EERE]

    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

  4. 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.........................................

  5. 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,...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. EJ and EK Pay Table

    Broader source: Energy.gov [DOE]

    The 2014 EJ and EK pay table excludes locality pay.  Refer to the General Schedule Complete Set of Locality Pay Tables to determine the locality pay for your applicable geographic area.   

  11. Usage by Job Size Table

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

    Usage by Job Size Table Usage by Job Size Table page loading animation Usage Query Interface System All Hopper Edison Cori Carver Planck Matgen Franklin Hopper 1 Magellan Dirac...

  12. 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.

  13. 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.

  14. 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 ...

  15. 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).

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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 day) Alabama 1,459 Arkansas 37 California 898 Colorado 6,130 Florida 90 Illinois 2,102 Kansas 1,664 Kentucky 255 Louisiana 10,870 Michigan 126 Mississippi 1,883 State Plant Capacity Notes: Coverage includes the Lower 48 States (excluding Alaska and Hawaii). Source: Energy Information Administration (EIA), Form EIA-757,

  2. FY 2009 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear

  3. FY 2010 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2008 FY 2009 FY 2009 FY 2010 Current Current Current Congressional Approp. Approp. Recovery Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 1,704,112 2,178,540 16,800,000 2,318,602 +140,062 +6.4% Electricity delivery and energy

  4. FY 2012 Statistical Table

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

    2Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2010 FY 2011 FY 2011 FY 2012 Current Congressional Annualized Congressional Approp. Request CR Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 2,216,392 2,355,473 2,242,500 3,200,053 +983,661 +44.4% Electricity delivery and energy

  5. 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...

  6. 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

  7. 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 2,875,945 Alabama 101,487 0 101,487 NA NA NA 101,487 Alaska 42,034 328,114 370,148 0 0 0 370,148 California 71 5,483 5,554 1,757 39,444 41,200 46,755 Gulf of Mexico 0 0 0 1,699,908 559,235 2,259,144 2,259,144 Louisiana 63,222 6,614 69,836 NA NA NA 69,836 Texas 27,421 1,153 28,574 NA NA NA 28,574 2011 Total 208,970

  8. 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 5,152 Arkansas 3,398 3,866 -468 56 42 14 -453 California 280,516 235,181 45,335 83 82 1 45,336 Colorado 72,510 70,692 1,818 0 0 0 1,818 Connecticut 0 0 0 1,032 1,359 -327 -327 Delaware 0 0 0 157 128 29 29 Georgia 0 0 0 7,130 4,046 3,085 3,085 Idaho 0 0 0 64 740 -676 -676 Illinois 270,831 260,100 10,730 61 503 -442 10,288

  9. 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 -- 0 -- 0 -- 0 -- 0 -- Arizona 0 -- 2 < 2 < 3 < 2 < Arkansas 0 -- 0 -- 0 -- 0 -- 0 -- California 7,205 1.5 8,769 1.7 12,108 2.5 18,795 3.9 20,703 5.2 Colorado 21 < 18 < 16 < 19 < 18 < Connecticut 1,156 2.7 1,438 3.2 1,364 3.3 2,199 4.7 2,096 4.1 Delaware 0 -- 0 -- 0 -- 0 -- 0 -- District of

  10. 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

  11. 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

  12. 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.

  13. 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 ...

  14. U.S. Energy Information Administration | State Energy Data 2013...

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

    State Energy Data 2013: Production 2 Table P2. Energy Production Estimates in Trillion Btu, 2013 Alabama 469.2 211.8 60.3 426.5 0.0 295.8 295.8 1,463.5 Alaska 24.9 379.9 1,090.1 ...

  15. QTR table of respondents | Department of Energy

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

    table of respondents QTR table of respondents PDF icon QTR_RFI_Comments_Table _V2.pdf 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

  16. 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,...

  17. 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,...

  18. 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...

  19. 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...

  20. 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...

  1. TABLE OF CONTENTS

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

    through December 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 7 1.2 Vacuum System 9 1.3 Power Supplies 13 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.9 Installation 19 2.0 Accelerator Physics 20 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress In the magnet area, the production of all major components (dipoles, quadrupoles, and sextupoles) has been completed on

  2. TABLE OF CONTENTS

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

    2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 5 B. Detailed Reports 1.1 Magnets & Supports 8 1.2 Vacuum System 12 1.3 Power Supplies 14 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.7 Beam Line Front Ends 19 1.8 Facilities 19 1.9 Installation 20 2.1 Accelerator Physics 21 2 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress The progress and highlights of each major technical system are summarized below. Additional details

  3. TABLE OF CONTENTS

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

    through June 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 9 1.2 Vacuum System 16 1.3 Power Supplies 21 1.4 RF System 25 1.5 Instrumentation & Controls 26 1.6 Cable Plant 28 1.8 Facilities 28 2.0 Accelerator Physics 29 2.1 ES&H 31 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress Magnet System - The project has received three shipments of magnets from IHEP. A total of 55 dipole, quadrupole and

  4. TABLE OF CONTENTS

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

    through September 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 9 1.2 Vacuum System 14 1.3 Power Supplies 21 1.4 RF System 24 1.5 Instrumentation & Controls 26 1.6 Cable Plant 27 1.7 Beam Line Front Ends 28 1.8 Facilities 29 2.0 Accelerator Physics 30 2.1 ES&H 32 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress Summary - The SPEAR 3 project is near the 50% completion mark in terms of

  5. 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.

  6. Table Definitions, Sources, and Explanatory Notes

    Gasoline and Diesel Fuel Update (EIA)

    and Value of Natural Gas Production Report" , EIA estimates based on data from the Bureau of Safety and Environmental Enforcement, and predecessor agencies; state agencies; and...

  7. 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...

  8. 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...

  9. 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.

  10. CBECS Buildings Characteristics --Revised Tables

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

    Summary Tables (12 pages, 59 kb) CONTENTS PAGES 1. Summary Table: Totals and Means of Floorspace, Number of Workers, and Hours of Operation, 1995 2. Summary Table: Totals and Medians of Floorspace, Number of Workers, Hours of Operation, and Age of Building, 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

  11. 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;...

  12. 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...

  13. 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)...

  14. Microsoft Word - table_03

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

    7 Created on: 4/27/2016 10:43:51 AM 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

  15. Table of Contents

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

    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 F F F I I C C E E O O F F I I N N S S P P E E C C T T O O R R G G E E N N E E R R A A L L Semiannual Report toCongress DOE/IG-0065 April 1 - September 30, 2013 TABLE OF CONTENTS From the Desk of the Inspector General ..................................................... 2 Impacts Key Accomplishments ............................................................................................... 3

  16. Student Intern: Water Table Management | Argonne National Laboratory

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

    Water Table Management Share Argonne intern Imani Moorman from Central State University worked with Argonne mentor Cristina Negri in studying water table levels on a farm in Fairbury, IL. This research will help farmers and scientists discover best practices for producing bioenergy crops and ecosystem services. Browse By - Any - Energy -Energy efficiency --Vehicles ---Alternative fuels ---Automotive engineering ---Diesel ---Electric drive technology ---Hybrid & electric vehicles ---Hydrogen

  17. 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 ...

  18. 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....

  19. 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...

  20. A New Method and Results of Estimating Areal-Mean Spectral Surface...

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

    layer thickness. Microphysical properties of the water cloud were modeled using Mie theory. The cases are summarized in Table 1. Estimating Areal-Mean Albedo Estimation of...

  1. 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

  2. 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 0 0 5 67,915 83,592 5 67,915 83,592 Arkansas 0 0 0 0 0 0 2 12,178 21,853 2 12,178 21,853 California 0 0 0 1 10,000 12,000 13 364,296 587,711 14 374,296 599,711 Colorado 0 0 0 0 0 0 10 63,774 130,186 10 63,774 130,186 Illinois 0 0 0 19 292,544 978,624 9 11,768 25,923 28 304,312 1,004,547 Indiana 0 0 0 12 19,215 80,746

  3. 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 5,935 23.4 5,941 21.6 Alaska 1,951 12.3 2,208 11.4 1,005 5.1 1,022 5.5 980 5.5 Arizona 3,605 11.3 3,988 12.2 4,213 13.4 4,772 14.5 4,743 15.6 Arkansas 17,862 44.4 19,402 48.5 24,772 59.8 26,797 56.3 27,604 54.5 California 113,903 45.9 112,448 45.7 126,571 50.0 127,588 50.1 122,637 51.6 Colorado 3,118 5.4 3,457 6.2 4,061

  4. 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 77.9 137,103 76.4 143,849 76.7 Alaska 1,893 29.5 2,657 39.2 0 -- 3,698 91.0 0 -- Arizona 14,343 74.5 16,469 75.8 17,800 78.6 18,486 83.4 19,612 87.2 Arkansas 80,722 97.2 83,671 97.9 80,090 98.2 85,595 98.3 87,179 98.2 California 671,372 95.4 674,420 95.5 704,680 95.8 744,986 96.0 759,369 96.3 Colorado 108,317 94.8 68,813

  5. 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 6.34 Arizona 6.59 5.91 4.68 4.73 5.20 Arkansas 6.76 6.27 5.36 4.99 5.84 California 4.86 4.47 3.46 4.18 4.88 Colorado 5.26 4.94 4.26 4.76 5.42 Connecticut 6.58 5.92 5.12 5.42 5.61 Delaware 5.67 9.03 7.19 5.67 5.54 Florida 5.49 5.07 3.93 4.44 5.05 Georgia 5.93 5.19 4.35 4.66 5.19 Hawaii 22.94 31.58 32.39 28.45 26.94 Idaho

  6. 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

  7. 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 1.5 1.2 0.1 0.9 California 7.8 6.9 10.3 47.0 10.1 Colorado 2.6 1.7 1.0 0.9 1.2 Connecticut 1.0 1.5 0.4 0.2 1.2 Delaware 0.2 0.3 0.4 < 0.6 District of Columbia 0.3 0.5 -- 2.9 -- Florida 0.3 1.8 1.2 0.6 12.9 Georgia 2.6 1.7 2.1 3.3 3.6 Hawaii < 0.1 < < -- Idaho 0.5 0.5 0.4 0.4 0.2 Illinois 9.4 7.1 3.9 1.0

  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

    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...

  15. 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....

  16. 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%...

  17. 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...

  18. 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...

  19. 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....

  20. 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...

  1. 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....

  2. FY 2006 Control Table by Appropriation

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

    ... Page 1 Department of Energy FY 2006 Control Table by Appropriation (dollars in thousands - ... Page 2 300 Department of Energy FY 2006 Control Table by Appropriation (dollars in ...

  3. FY 2006 Control Table by Organization

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

    ... Page 1 Department of Energy FY 2006 Control Table by Organization (dollars in ... Page 2 Department of Energy FY 2006 Control Table by Organization (dollars in ...

  4. FY 2005 Control Table by Appropriation

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

    ... 13 Department of Energy FY 2005 Control Table by Appropriation (dollars in ... FY 2004 Page 1 Department of Energy FY 2005 Control Table by Appropriation (dollars in ...

  5. 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...

  6. 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.

  7. A High-Speed, Real-Time Visualization and State Estimation Platform for Monitoring and Control of Electric Distribution Systems: Implementation and Field Results: Preprint

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

    A High-Speed, Real-Time Visualization and State Estimation Platform for Monitoring and Control of Electric Distribution Systems: Implementation and Field Results Preprint B. Lundstrom, P. Gotseff, J. Giraldez, and M. Coddington National Renewable Energy Laboratory To be presented at the 2015 IEEE Power and Energy Society General Meeting Denver, Colorado July 26-30, 2015 Conference Paper NREL/CP-5D00-63260 April 2015 NOTICE The submitted manuscript has been offered by an employee of the Alliance

  8. 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...

  9. 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

  10. 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

  11. Table of Contents

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

    SECTION III: NUCLEAR THEORY Low-Energy Behavior of the Astrophysical S Factor in Radiative Captures to Loosely Bound Final States A. M. Mukhamedzhanov, F. Nunes ANCs and Radiation...

  12. U.S. Rare Earth Magnet Patents Table © 3-1-2016 page 1

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

    Rare Earth Magnet Patents Table © 3-1-2016 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

  13. 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 precision and confidence.

  14. 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.

  15. 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.

  16. 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.

  17. 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

  18. 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.

  19. 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.

  20. 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

  1. 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.

  2. 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.

  3. Microsoft Word - table_08.doc

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

    3 Table 8 Created on: 4/26/2016 5:59:09 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

  4. Microsoft Word - table_09.doc

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

    5 Table 9 Created on: 4/26/2016 5:59:19 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 Heating Season November 4,366 3,605 7,971 -194 -5.1 155 366 211 December 4,365 2,890 7,255 -523 -15.3 94 808 714 January 4,363

  5. Microsoft Word - table_11.doc

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

    27 Table 11 Created on: 4/26/2016 5:59:40 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 -- -- --

  6. 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

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...,4.4,4.1,4.5,4.9,4.6,8.6,8.8,7.7,8.4,8 "Carbon dioxide",1407,1503,1570,1703,1667,1707,1761,1737,1751,1836,1804,1849,1828,1767,1824,1776,1685,1810,1845,1675,1778,1816,1715,1864,1771

  12. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...,2,2,3,11,1,1,1,1,0,0,2,1,1,254,190,179,179,179 "Petroleum",47,45,42,90,33,149,305,2125,1824,2635,2222,4611,3925,6866,4344,6176,6726,35521,36654,37337,46913,47829,46941,13230,45631 ...

  13. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...59,1111,325,272,121,41,37,36,33,40 "Other",2218,2205,2201,1537,1508,2480,1796,2366,2105,1824,1870,1039,1209,112,67,61,66,60,44,29," "," "," "," "," " "Petroleum",728,719,762,678,10...

  14. Table 7. Electric power industry emissions estimates, 1990 through...

    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 ...

  15. 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

  16. 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

  17. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...943,65166,82024,84050,84948,70444,74664 "Nitrogen oxide (short tons)" ...8,1.7,1.7,1.2,1.5,1.3,1.9,1.9,2,1.4,1.5 "Nitrogen oxide",0.3,0.3,0.2,0.3,0.4,0.4,0.4,0.4,0...

  18. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...9,113584,94753,82613,86399,85365,109237 "Nitrogen oxide (short tons)" ...4.9,5.1,5.2,5.1,5.6,4.4,4.1,4.1,4.3,5.5 "Nitrogen oxide",2,2.1,2.2,2.9,2.8,3.2,3.5,3.7,4,4...

  19. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...,96891,107977,99842,102107,98541,102697 "Nitrogen oxide (short tons)" ...4.7,5.2,5.4,5.1,5.4,6.1,5.8,6.1,6.1,6.3 "Nitrogen oxide",1.6,1.9,1.9,2.2,2.4,2.4,2.6,2.7,2...

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

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

    ...634,75960,63041,57711,58325,50414,59654 "Nitrogen oxide (short tons)" ...7,4.1,4.5,5,5.3,5.2,5.1,4.1,4,4.2,4,4.1 "Nitrogen oxide",2.9,3.3,3.3,3.3,3.4,3.4,3.8,4,4.3...

  1. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...,962,799,960,1450,1335,1529,2730,1474,1219,748,877,1121,1023,703,1809 "Nitrogen Oxide (short tons)" "Nitrogen oxide (short tons)",615,620,773,879,888,875,608,569,547,441,401,480,67...

  2. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...0793,153217,148070,146967,190426,147068 "Nitrogen oxide (short tons)" ...8,12,11.6,14.5,10.5,10.3,10.2,13.8,10.9 "Nitrogen oxide",2.7,2.8,2.8,3,3.3,3.8,4.3,4.7,4.9...

  3. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...4441,543932,486833,687582,750978,798081 "Nitrogen oxide (short tons)" ....1,9,10.9,10.8,17.6,18.2,24.1,24.8,26.9 "Nitrogen oxide",1.8,1.7,1.6,1.4,1.3,1.3,2,2.4,2.6...

  4. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...1619,110143,160083,116859,119161,131807 "Nitrogen oxide (short tons)" ....7,9.5,7.7,8.1,7,7.7,12.3,10.1,9.2,10.5 "Nitrogen oxide",0.9,0.9,0.9,1.1,1.2,1.2,1.9,2.2,2...

  5. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...6013,109265,121305,120599,117325,113104 "Nitrogen oxide (short tons)" ...8,4.1,4,4.5,4.6,4.8,4.4,4.6,4.8,4.8,4.8 "Nitrogen oxide",1.3,1.5,1.8,2.3,2.2,2.1,2.3,2.4,2...

  6. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...6726,6261,6579,8807,9647,9625,6626,9540 "Nitrogen oxide (short tons)" ...9,1.1,0.9,1,0.9,0.9,1.1,2,1.8,2.6,1.4,2 "Nitrogen oxide",2.7,1,0.6,0.4,0.8,0.3,0.6,0.7,0.3...

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

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

    ...3208,267974,287362,271230,275124,297233 "Nitrogen oxide (short tons)" ...11.6,11.5,10.5,11.8,12.8,13.2,13.8,17.9 "Nitrogen oxide",1.1,1.2,1.3,1.3,1.3,1.2,1.9,2.4,2...

  8. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...581,67316,56272,60840,60087,65822,78727 "Nitrogen oxide (short tons)" ...8,3.1,2.5,2.5,3.8,4,3,2.3,2.5,2.8,3,3.9 "Nitrogen oxide",0.5,0.5,0.5,0.4,0.5,0.5,0.7,0.7,1...

  9. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...624,46333,22809,24652,23826,52838,57853 "Nitrogen oxide (short tons)" ...,9.6,10.9,9.9,6.4,9.5,2.8,3.2,3,6.1,7.3 "Nitrogen oxide",1.3,1.4,1,1.1,1.1,1.7,1.4,1.4,1.4...

  10. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...3081,619041,689999,631199,619166,627131 "Nitrogen oxide (short tons)" ...6,4.4,4.4,5.1,4.6,4.6,4,4.6,4.3,4.3,4.5 "Nitrogen oxide",1,1.1,1,1.1,1.1,1.1,1.2,1.3,1.4,1...

  11. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...215,56088,48961,51066,47987,48329,43385,22889,24084,31108,29246,38817 "Nitrogen Oxide (short tons)" "Nitrogen oxide (short tons)",1425,1316,1354,1363,1385,1510,1617,1170,1128,1325,...

  12. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...4665,621996,754549,830723,851849,935317 "Nitrogen oxide (short tons)" ...11.4,11.1,10.8,11.9,14.9,17.1,17.7,18.2 "Nitrogen oxide",0.9,0.9,0.9,1.3,1.3,1.3,1.9,1.9,2...

  13. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...483,35540,33388,30756,31875,32629,31239 "Nitrogen oxide (short tons)" ...1,5.3,4.3,3.3,8.1,8.4,11.7,10.2,9.9,9.7 "Nitrogen oxide",1.9,2.3,1.9,1.7,2.6,3,4.1,3.5,4.3...

  14. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...1258449,1288987,1302592,1349807,1366464 "Nitrogen oxide (short tons)" ...12.6,12.6,13.5,13.7,14.2,14.5,15.6,15.6 "Nitrogen oxide",1.3,1.3,1.3,1.4,1.3,1.2,1.8,1.8,1...

  15. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...8478,446989,412086,390546,425983,421898 "Nitrogen oxide (short tons)" ...2,8.6,9.7,8.7,7.8,7.8,9.1,7.7,8.2,8,8.4 "Nitrogen oxide",1.5,1.6,1.6,1.7,1.8,2,2.2,2.2,2.2...

  16. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...359,41527,22088,21396,23150,22828,19104 "Nitrogen oxide (short tons)" ...1.9,2.1,1.9,3.2,3.2,1.8,1.8,1.8,1.6,1.5 "Nitrogen oxide",1.4,1.6,1.3,1.3,1.6,1.7,2.1,3,3,3...

  17. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...884,61313,56669,60800,53660,53579,51801 "Nitrogen oxide (short tons)" ...2,4.1,4,4.4,4.8,4.8,5.2,5.3,4.8,4.7,4.8 "Nitrogen oxide",1.4,1.7,1.9,2.5,2.4,2.9,2.8,2.7,4...

  18. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...6960,247116,263299,247746,258043,238461 "Nitrogen oxide (short tons)" ...1,8.8,8.5,8.9,8.6,9.7,8,8.6,8.8,9.4,9.1 "Nitrogen oxide",1.1,1,1.1,1.4,1.5,1.2,1.7,1.8,1.8...

  19. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...254,50275,53260,53274,57875,55034,54649 "Nitrogen oxide (short tons)" ...2,3,3.2,3.3,3.7,4.2,4.2,4.3,4.5,5,5,5.5 "Nitrogen oxide",1,0.9,0.8,0.8,1,1,1.4,2,2.1,2.4,2...

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

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

    ...4382,210812,224297,209961,224332,201465 "Nitrogen oxide (short tons)" ...3,10.1,10.2,11.2,12.7,14,13.8,13.9,13.4 "Nitrogen oxide",1.5,1.6,1.6,1.7,1.9,1.9,3,2.6,3.1...

  1. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...6397,143396,135654,132721,130647,126421 "Nitrogen oxide (short tons)" ...6,1.7,1.9,2.6,3.3,3.5,3.6,4,4,3.8,3.9,4 "Nitrogen oxide",1,1,0.9,1.1,1.1,1.2,1.4,1.5,1.6,1...

  2. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...1037,745072,763824,776795,775435,697499 "Nitrogen oxide (short tons)" ...6,9.4,9.2,8.8,8,9.4,10.1,10.8,11.1,10.6 "Nitrogen oxide",0.8,0.8,0.8,0.8,1,1.2,1.7,2,2.1,2...

  3. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...4942,296882,336470,392554,440535,459768 "Nitrogen oxide (short tons)" ...4.6,5.1,4.4,3.4,4.3,4.7,5.4,6.2,6.5,6.8 "Nitrogen oxide",0.7,0.7,0.7,0.7,0.7,0.7,0.8,0.9,1...

  4. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...4941,127948,151533,210579,240881,233573 "Nitrogen oxide (short tons)" ...,7.2,6.7,5.9,7.2,6.7,8.2,10.5,11.7,11.7 "Nitrogen oxide",0.9,0.9,0.8,0.8,0.9,0.9,1,0.9,1.1...

  5. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...8162,273797,259611,175375,129536,123261 "Nitrogen oxide (short tons)" ...4.6,4.7,5.1,4.7,4.5,6.9,6.6,4.8,3.5,3.2 "Nitrogen oxide",1.6,1.6,1.6,1.6,1.6,1.7,1.8,2.1,2...

  6. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...94,42,42,40,35,46,69,73,68,63,104,188,139,172,98,63,79,30,13,11,10,22 "Nitrogen Oxide (short tons)" "Nitrogen oxide (short tons)",1,1,1,2,2,2,3,4,3,3,6,3,0,11,0,0,195,163,119,187,1...

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

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

    ...8962,850776,860869,894322,889365,936052 "Nitrogen oxide (short tons)" ...2,13.5,13.8,11.3,9.8,12,12,14,13.7,14.5 "Nitrogen oxide",0.6,0.6,0.7,0.8,0.9,0.9,1.3,1.3,1...

  8. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...787,33518,29992,32988,30223,28179,31687 "Nitrogen oxide (short tons)" ...1.9,1.7,1.9,1.9,2,2,1.7,1.9,1.8,1.8,1.9 "Nitrogen oxide",2.6,2.9,2.8,3.1,3.6,3.5,3.1,3.4,3...

  9. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...1254736,1273599,1254033,1470102,1407412 "Nitrogen oxide (short tons)" ...18.1,18.1,17.1,23.4,24.6,24.8,28.8,27.8 "Nitrogen oxide",2.3,2.2,2.1,2.2,2.1,2.1,3.2,3.3,3...

  10. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...569,16497052,16568052,16912118,17043393 "Nitrogen oxide (short tons)" ...7,8.2,8.5,8.3,8.1,9.8,10.3,10.7,11,11.2 "Nitrogen oxide",1.2,1.2,1.2,1.3,1.3,1.3,1.8,1.9,2...

  11. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...392,29334,27230,32433,38613,54224,57579 "Nitrogen oxide (short tons)" ...3.5,3.4,5.7,6.6,4.5,1.9,1.7,2,2.6,4,3.3 "Nitrogen oxide",0.5,0.5,0.7,0.4,0.5,0.5,0.5,0.6,0...

  12. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...6308,854518,899518,847632,801008,841938 "Nitrogen oxide (short tons)" ...6,12.8,13.3,13.4,21.8,24.3,21.8,21,22.1 "Nitrogen oxide",0.6,0.6,0.7,0.8,0.9,0.8,2,2.3,2.3...

  13. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...17,483,771,1172,1689,1334,577,1326,2539 "Nitrogen oxide (short tons)" "Natural ...8,13.7,14,12.4,12.3,14.2,15.6,14.7,14.1 "Nitrogen oxide",4.3,4.5,6.3,4.1,4.1,8.1,5.5,5.4,9...

  14. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...2604,433892,489817,442655,390723,401051 "Nitrogen oxide (short tons)" ...9,9.2,10.1,9.7,8.7,8.6,10.3,9.9,8.7,9.4 "Nitrogen oxide",1.1,1,1,0.9,1,0.8,1,1,1.8,1.8,2,2...

  15. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...486,52698,50350,51891,56534,47695,66619 "Nitrogen oxide (short tons)" ...,7.1,7.2,7.5,6,6.8,7.5,6.4,7.5,6.7,10.7 "Nitrogen oxide",0.4,0.5,0.5,0.6,0.6,0.6,0.6,0.6,0...

  16. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...2100354,2178585,2210524,2255308,2219783 "Nitrogen oxide (short tons)" ...7,20.9,21,17.7,31.9,32.2,32.1,33.7,34.7 "Nitrogen oxide",1.6,1.5,1.5,2,1.9,1.8,3.2,3.2,3.2...

  17. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...22,131412,80991,68564,71211,57726,90154 "Nitrogen oxide (short tons)" ...1.6,1.5,1.6,1.6,1.4,0.9,0.7,0.8,0.7,1.1 "Nitrogen oxide",1,1,0.9,0.9,0.9,0.9,0.9,0.9,0.9,0...

  18. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...7731,218111,207999,183825,193476,199374 "Nitrogen oxide (short tons)" ...4.9,5.4,5.5,5.6,6,5.1,5.7,5.3,5,5.4,5.6 "Nitrogen oxide",0.4,0.4,0.5,0.6,0.6,0.5,1,1,1.1,1...

  19. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...,1091861,1046141,1102461,1069813,967501 "Nitrogen oxide (short tons)" ...,15,15.3,16,15.7,26.8,28,29.3,29.1,24.3 "Nitrogen oxide",1.8,1.6,1.4,1.5,1.3,1.1,2.2,3.3,3...

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

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

    ...546,18413,12296,11339,11736,13370,20658 "Nitrogen oxide (short tons)" ...5,5,4.3,6.6,5.9,6.1,6.1,4.1,4,4.4,5,7.4 "Nitrogen oxide",6.4,5.6,5.4,5.5,5.2,5.5,4.8,5.6,6...

  1. Table 7. Electric power industry emissions estimates, 1990 through...

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

    ...,8799,8519,19142,17161,18781,13379,9781 "Nitrogen oxide (short tons)" ...7,0.6,0.6,0.4,0.3,0.4,1,0.8,0.9,0.6,0.4 "Nitrogen oxide",0.5,0.5,0.3,0.3,0.6,0.5,0.5,0.7,0...

  2. Microsoft Word - table_C01

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

    21 Created on: 4/27/2016 10:55:45 AM Table C1. Standard error for natural gas deliveries and price by consumers, by state, February 2016 State Volume Relative Standard Error (Percent) Price (Dollars per Thousand Cubic Feet) Residential Commercial Industrial Total Residential Commercial Industrial Alabama 1.4 1.9 1.6 1.1 0.18 0.20 0.15 Alaska 0.0 1.8 2.7 NA 0.00 0.19 0.00 Arizona 1.7 3.2 1.0 1.4 0.34 0.11 0.05 Arkansas 3.0 1.7 5.1 2.2 0.22 0.23 0.38 California 2.2 1.7 0.3 0.9 0.80 0.55 0.32

  3. table3.1

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

    Fuel Consumption, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Total United States RSE Column Factors: 0.8 0.8 1.1 1.6 0.9 1.8 0.7 0.7 1.1 311 Food 1,116 67,521 2 3 560 1 8 * 90 7.6 311221 Wet Corn Milling 217 6,851 * * 59 * 5 0 11 1.2 31131 Sugar 111 725 * * 22 * 2 * 46 1 311421 Fruit and Vegetable Canning 47 1,960 * * 35 * 0 0 1 12.5 312 Beverage and Tobacco Products 104 7,639 * * 45 * 1 0 10 4.4 3121 Beverages 85 6,426 * * 41

  4. table3.2

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

    Fuel Consumption, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Total United States RSE Column Factors: 0.8 0.8 1.1 1.6 0.9 1.8 0.7 0.7 1.1 311 Food 1,116 230 13 19 575 5 184 1 90 7.6 311221 Wet Corn Milling 217 23 * * 61 * 121 0 11 1.2 31131 Sugar 111 2 2 1 22 * 37 1 46 1 311421 Fruit and Vegetable Canning 47 7 1 1 36 Q 0 0 1 12.5 312 Beverage and Tobacco Products 104 26 2 2 46 1 17 0 10 4.4 3121 Beverages 85 22 1 2 42 1 8 0 10 5.9 3122

  5. 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.

  6. 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.

  7. NREL Releases Estimate of National Offshore Wind Energy Potential...

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

    of wind turbines could be placed in every square kilometer of water that met these wind characteristics. Detailed resource maps and tables for 26 coastal states' (ocean and ...

  8. 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...

  9. 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 ...

  10. 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 ...

  11. FY 2013 Control Table by Organization

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

    3 Summary Control Table by Organization (dollars in thousands - OMB Scoring) FY 2011 FY ... FY 2013 vs. FY 2012 Control table by Organization Page 1 FY 2013 Congressional Budget ...

  12. FY 2012 Control Table by Organization

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

    2 Summary Control Table by Organization (dollars in thousands - OMB Scoring) FY 2010 FY ... FY10 Current Approp for all programs including NNSA Control table by organization Page 1 ...

  13. FY 2010 Control Table by Organization

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

    0 Control Table by Organization (dollars in thousands - OMB Scoring) FY 2008 FY 2009 FY ... FY 2010 vs. FY 2009 Control table by organization 1 562009 9:54 AM Department of Energy ...

  14. FY 2011 Control Table by Organization

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

    1 Summary Control Table by Organization (dollars in thousands - OMB Scoring) FY 2009 FY ... FY 2011 vs. FY 2010 Control table by Organization Page 1 of 10 312010 8:16 AM Department ...

  15. FY 2007 Control Table by Organization

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

    Control Table by Organization (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 ... FY 2006 Page 1 Department of Energy FY 2007 Control Table by Organization (dollars in ...

  16. 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.

  17. Code Tables | National Nuclear Security Administration

    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

  18. 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"

  19. 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"

  20. 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 ...

  1. 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

  2. 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...

  3. Microsoft Word - table_A1.doc

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

    94 Table A1. Natural gas losses and unaccounted for by state, 2014 (volumes in million cubic feet) Alabama 1,086 2,858 634,678 0.6 Alaska 108 3,072 327,428 1.0 Arizona 477 5,340 307,946 1.9 Arkansas 2,430 2,756 268,453 1.9 California 11,136 -7,535 2,344,977 0.2 Colorado 1,340 11,466 480,747 2.7 Connecticut 990 -1,132 235,205 -0.1 Delaware 1,009 -38 100,776 1.0 District of Columbia 1,305 0 34,057 3.8 Florida 2,274 -1,969 1,231,957 < Georgia 1,033 -832 652,230 < Hawaii 1 -175 2,928 -5.9

  4. 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

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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 -...

  10. 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,...

  11. 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

  12. 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 - ,

  13. 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,

  14. 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

  15. 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

  16. 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,

  17. 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 ...

  18. 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...

  19. 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...

  20. 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...

  1. 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 ...

  2. 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...

  3. 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) ...

  4. 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 ...

  5. 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...

  6. Microsoft Word - table_10.doc

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

    6 Created on: 4/26/2016 5:59:29 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

  7. 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.

  8. TableHC2.12.xls

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

    Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or More Units Mobile Homes Type of Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Home Electonics Usage Indicators Detached Attached 2 to 4 Units Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. Public Notice Applicability Table | Open Energy Information

    Open Energy Info (EERE)

    http:crossref.org Citation Retrieved from "http:en.openei.orgwindex.php?titlePublicNoticeApplicabilityTable&oldid792160" Feedback Contact needs updating Image...

  19. Continuous Learning Points Credit Assignment Table | Department...

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

    PDF icon Microsoft Word - CLPCreditAssignmentTable More Documents & Publications PMCDP Curriculum Learning Map Microsoft Word - AL2006-07.doc PMCDP Certification and Equivalency ...

  20. 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...