Powered by Deep Web Technologies
Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Comprehensive tables giving physical data and thermal energy estimates for young igneous systems of the United States  

DOE Green Energy (OSTI)

Two tables are presented. The first is a comprehensive table of 157 young igneous systems in the western United States, giving locations, physical data, and thermal energy estimates, where appropriate for each system. The second table is a list of basaltic fields probably less than 10,000 years old in the western United States.

Smith, R.L.; Shaw, H.R.; Leudke, R.G.; Russell, S.L.

1978-01-01T23:59:59.000Z

2

FY 2007 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Department of Energy FY 2007 Congressional Budget Request February 2006 Office of Chief Financial Officer state tables preliminary Department of Energy FY 2007 Congressional Budget...

3

FY 2008 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

State Table 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 appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2008 Congressional Budget 2/1/2007 Department Of Energy (Dollars In Thousands) 6:53:08AM Page 1 of 2 FY 2006 Appropriation FY 2007 Request FY 2008 Request State Table 1 1 $28,332 $30,341

4

FY 2009 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

State Tables 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 appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2009 Congressional Budget 1/30/2008 Department Of Energy (Dollars In Thousands) 9:01:45AM Page 1 of 2 FY 2007 Appropriation FY 2008 Appropriation FY 2009 Request State Table 1 1 $27,588

5

FY 2005 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Office of Management, Budget 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 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 appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number

6

FY 2010 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

State Tables 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 Congress. Printed with soy ink on recycled paper State Index Page Number FY 2010 Congressional Budget 5/4/2009 Department Of Energy (Dollars In Thousands) 2:13:22PM Page 1 of 2 FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request State Table 1 1 $46,946 $48,781 $38,844 Alabama 2 $6,569

7

FY 2006 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

State Tables 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 other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2006 Congressional Budget 1/27/2005 Department Of Energy (Dollars In Thousands) 3:32:58PM Page 1 of 2 FY 2004 Comp/Approp FY 2005 Comp/Approp FY 2006 Request State Table

8

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F28: Wind Energy Consumption Estimates, 2011 State Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total

9

Table 10. Estimated rail transportation rates for coal, basin to state, STB dat  

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

Estimated rail transportation rates for coal, basin to state, STB data" Estimated rail transportation rates for coal, basin to state, STB data" ,,"Real Dollars per Ton",,,,,,,,,,"Annual Percent Change" "Basin","Destination State",2001,2002,2003,2004,2005,2006,2007,2008,2009,," 2001-2009"," 2008-2009" "Northern Appalachian Basin","Delaware"," W"," W"," $16.45"," $14.29"," W"," -"," W"," W"," -",," -"," -" "Northern Appalachian Basin","Florida"," $21.45"," W"," W"," W"," W"," $28.57"," W"," W"," W",," W"," W"

10

FY 2011 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

State Tables 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 as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 State Index Page Number FY 2011 Congressional Budget 1/29/2010 Department Of Energy (Dollars In Thousands) 6:34:40AM Page 1 of 2 FY 2009 Appropriation

11

FY 2012 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6 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 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 Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled

12

Table CT1. Energy Consumption Estimates for Major Energy Sources ...  

U.S. Energy Information Administration (EIA)

R A D O. U.S. Energy Information Administration State Energy Data 2011: Consumption 89 Table CT6. Industrial Sector Energy Consumption Estimates, Selected Years, 1960 ...

13

Table CT1. Energy Consumption Estimates for Major Energy ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration State Energy Data 2011: Consumption 365 Table CT2. Primary Energy Consumption Estimates, Selected Years, 1960-2011, North ...

14

Table E1. Estimated Primary Energy Consumption in the United ...  

U.S. Energy Information Administration (EIA)

Table E1. Estimated Primary Energy Consumption in the United States, Selected Years, 1635-1945 (Quadrillion Btu) Year: Fossil Fuels

15

Table F24: Wood and Biomass Waste Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F24: Wood and Biomass Waste Consumption Estimates, 2011 State Wood Wood and Biomass Waste a Residential Commercial Industrial Electric Power ...

16

Table F17: Coal Consumption Estimates and Imports and Exports ...  

U.S. Energy Information Administration (EIA)

Table F17: Coal Consumption Estimates and Imports and Exports of Coal Coke, 2011 State Coal Coal Coke Residential a Commercial Industrial Electric ...

17

Table F18: Coal Price and Expenditure Estimates and Imports ...  

U.S. Energy Information Administration (EIA)

Table F18: Coal Price and Expenditure Estimates and Imports and Exports of Coal Coke, 2011 State Coal Coal Coke Prices Expenditures Prices ...

18

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States  

Gasoline and Diesel Fuel Update (EIA)

ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States Year Primary Energy Electric Power Sector h,j Retail Electricity Total Energy g,h,i Coal Coal Coke Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i,j Coking Coal Steam Coal Total Exports Imports Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f,g Prices in Dollars per Million Btu 1970 0.45 0.36 0.38 1.27 0.93 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 1975 1.65 0.90 1.03 2.37 3.47 1.18 2.60 2.05 2.96 4.65 1.93 2.94 3.35 0.24 1.50 2.19 0.97 8.61 3.33 1980 2.10 1.38 1.46 2.54 3.19 2.86 6.70 6.36 5.64 9.84 3.88 7.04 7.40 0.43 2.26 4.57 1.77 13.95 6.89 1985 2.03 1.67 1.69 2.76 2.99 4.61 7.22 5.91 6.63 9.01 4.30 R 7.62 R 7.64 0.71 2.47 4.93 1.91 19.05

19

Table 2.1d Industrial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1d Industrial Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

20

Table 2.1e Transportation Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1e Transportation Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Table 5.13c Petroleum Consumption Estimates: Transportation ...  

U.S. Energy Information Administration (EIA)

Table 5.13c Petroleum Consumption Estimates: Transportation Sector, 1949-2011 (Thousand Barrels per Day) Year: Transportation Sector

22

Table PT1. Energy Production Estimates in Physical Units, Michigan ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Michigan, 1960 - 2011 1960 0 20,790 15,899 NA 1961 0 27,697 18,901 NA 1962 0 28,987 17,114 NA

23

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

24

All Consumption Tables  

U.S. Energy Information Administration (EIA)

2010 Consumption Summary Tables. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2010 (Trillion Btu) ... Ranked by State, 2010

25

Table PT1. Energy Production Estimates in Physical Units, Ohio ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Ohio, 1960 - 2011 1960 33,957 36,074 5,405 NA 1961 32,226 36,423 5,639 NA 1962 34,125 36,747 5,835 NA

26

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma, 1960 - 2011 1960 33.9 902.0 1,118.9 0.0 NA 17.8 17.8 2,072.6 1961 26.1 976.9 1,119.9 0.0 NA 20.2 20 ...

27

Table PT2. Energy Production Estimates in Trillion Btu, California ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, California, 1960 - 2011 1960 0.0 589.7 1,771.0 (s) NA 270.2 270.2 2,630.9 1961 0.0 633.8 1,737.7 0.1 NA 248.2 ...

28

Table PT2. Energy Production Estimates in Trillion Btu, Delaware ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Delaware, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 5.0 5.0 5.0 1961 0.0 0.0 0.0 0.0 NA 5.1 5.1 5.1

29

Table PT2. Energy Production Estimates in Trillion Btu, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Texas, 1960 - 2011 1960 26.4 6,610.7 5,379.4 0.0 NA 50.2 50.2 12,066.6 1961 26.5 6,690.2 5,447.3 0.0 NA 52.0 ...

30

Table PT2. Energy Production Estimates in Trillion Btu, Indiana ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Indiana, 1960 - 2011 1960 346.3 0.3 69.9 0.0 NA 24.6 24.6 441.1 1961 336.7 0.4 66.7 0.0 NA 24.2 24.2 428.0

31

Table PT2. Energy Production Estimates in Trillion Btu, Oregon ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oregon, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 190.5 190.5 190.5 1961 0.0 0.0 0.0 0.0 NA 188.9 188.9 188.9

32

Table PT2. Energy Production Estimates in Trillion Btu, Arizona ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Arizona, 1960 - 2011 1960 0.1 0.0 0.4 0.0 NA 36.2 36.2 36.7 1961 0.0 0.0 0.4 0.0 NA 35.1 35.1 35.5

33

Table PT1. Energy Production Estimates in Physical Units, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Texas, 1960 - 2011 1960 2,098 5,892,704 927,479 NA 1961 2,108 5,963,605 939,191 NA 1962 2,054 6,080,210 ...

34

State Energy Price and Expenditure Estimates  

U.S. Energy Information Administration (EIA)

2010 Price and Expenditure Summary Tables. Table E1. Primary Energy, Electricity, ... Ranked by State, 2010 Rank Prices Expenditures Expenditures per Person State

35

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

3 165 3 165 Appendix B Metric and Thermal Conversion Tables Metric Conversions Table B1 presents Summary Statistics for Natural Gas in the United States for 1999 through 2003 in metric units of measure. Volumes are shown in cubic meters instead of cubic feet. Prices are shown in dollars per thousand cubic meters instead of dollars per thousand cubic feet. The data in this table have been converted from the data that appear in Table 1 of this report. Thermal Conversions Table B2 presents the thermal (Btu) conversion factors and the converted data for natural gas supply and disposition from 1999 through 2003. A brief documentation for the thermal conversion factors follows: * Marketed Production. The conversion factor is calculated by adding the total heat content of dry

36

State estimation on correlated copies  

E-Print Network (OSTI)

State estimation is usually analyzed in the situation when copies are in a product state, either mixed or pure. We investigate here the concept of state estimation on correlated copies. We analyze state estimation on correlated N qubit states, which are permutationally invariant. Using a correlated state we try to estimate as good as possible the direction of the Bloch vector of a single particle reduced density matrix. We derive the optimal fidelity for all permutation invariant states. We find the optimal state, which yields the highest estimation fidelity among the states with the same reduced density matrix. Interestingly this state is not a product state. We also point out that states produced by optimal universal cloning machines are the worst form the point of view of estimating the reduced density matrix.

Rafal Demkowicz-Dobrzanski

2004-12-20T23:59:59.000Z

37

Table 8.6c Estimated Consumption of Combustible Fuels for Useful ...  

U.S. Energy Information Administration (EIA)

Table 8.6c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and ...

38

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

U.S. Energy Information Administration (EIA)

Table 1.3 Primary Energy Consumption Estimates by Source, 1949-2011 (Quadrillion Btu) Year: Fossil Fuels: Nuclear Electric Power

39

Table 2.1a Energy Consumption Estimates by Sector, Selected Years ...  

U.S. Energy Information Administration (EIA)

40 U.S. Energy Information Administration / Annual Energy Review 2011 Table 2.1a Energy Consumption Estimates by Sector, Selected Years, 1949-2011

40

Table 8.6a Estimated Consumption of Combustible Fuels for ...  

U.S. Energy Information Administration (EIA)

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

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

State Historical Tables for 2001 - 2003  

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

3 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 2001,"AR","Public Generating Utilities",246368630,212622546,9431249,22420097,0,16915413,33746084 2001,"AZ","Public Generating Utilities",3030812753,2527544405,147926114,220490131,248061352,80336985,503268348 2001,"CA","Public Generating Utilities",8603693112,7493606346,361997320,674090424,77723284,44864971,1110086766

42

State Historical Tables for 2001 - 2004  

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

4 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 2001,"AR","PUBLIC NON-GENERATING UTILITIES",77541291,65685734,1885725,3099876,0,1918230,11855557 2001,"AZ","PUBLIC NON-GENERATING UTILITIES",86297510,75606888,989560,7217552,0,0,10690622 2001,"CA","PUBLIC NON-GENERATING UTILITIES",415854281,350700190,15665358,13782510,0,13671867,65154091

43

Table C5. Residential Propane Prices by Region and State ...  

U.S. Energy Information Administration (EIA)

Table C5. Residential Propane Prices by Region and State (Cents per Gallon) ... New York 141.9 145.6 146.4 150.4 153.7 162.1 164.5 168.1 169.0 190.2 ...

44

Table  

NLE Websites -- All DOE Office Websites (Extended Search)

Table 295: Muons in water as calc from steam to check code ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.55509 1.000 71.6 0.44251 3.0000 0.2000 2.0000 3.5017 0.00 T p...

45

Table 8.6b Estimated Consumption of Combustible Fuels for Useful ...  

U.S. Energy Information Administration (EIA)

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 ...

46

Table 8.6a Estimated Consumption of Combustible Fuels for Useful ...  

U.S. Energy Information Administration (EIA)

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 ...

47

Table PT1. Energy Production Estimates in Physical Units, United ...  

U.S. Energy Information Administration (EIA)

a Beginning in 2001, includes refuse recovery. d Includes denaturant. Estimated using production b Marketed production. ... Coal a Natural Gas b Crude Oil c Fuel ...

48

Table PT1. Energy Production Estimates in Physical Units, New ...  

U.S. Energy Information Administration (EIA)

Energy Production Estimates in Physical Units, New Mexico, 1960 - 2011 1960 295 798,928 107,380 NA 1961 412 789,662 112,553 NA ... Fossil Fuels Renewable Energy

49

Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method,  

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

Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Underground - Minable Coal Surface - Minable Coal Total Coal-Resource State Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base

50

Table 7. Electric Power Industry Emissions Estimates, 1990 Through...  

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

United States" "Emission Type",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Sulfur Dioxide" " Coal",14281,14240,14060,1...

51

Table 4. Estimation Results for PAD District Regions  

Gasoline and Diesel Fuel Update (EIA)

4. Estimation Results for PAD District Regions 4. Estimation Results for PAD District Regions Dependent Variable: D(RETPAD1) Dependent Variable: D(RETPAD2) Dependent Variable: D(RETPAD3) Dependent Variable: D(RETPAD4) Dependent Variable: D(RETPAD5) Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 6/15/1998 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient C 0.008 C -0.019 C -0.015 C -0.030 C 0.049 (0.098) (0.199) (0.115) (0.087) (0.148) DSPOTPAD1(-1) 0.295*** DSPOTPAD2(-1) 0.671*** DSPOTPAD3(-1) 0.334*** DSPOTPAD4(-1) 0.132*** DSPOTPAD5(-1) 0.184*** (0.023) (0.034) (0.026) (0.021) (0.023)

52

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

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

"Table 7. Carbon intensity of the energy supply by state (2000 - 2010)" "kilograms of energy-related carbon dioxide per million Btu" ,,,"Change" ,,,"2000 to 2010"...

53

Continental U.S. State Wind Resource Potential Tables (RDF Transformat...  

Open Energy Info (EERE)

Continental U.S. State Wind Resource Potential Tables (RDF Transformation) Submitted by Woodjr on Fri, 02042011 - 14:19 A linked data (RDF) transformation of the...

54

Table HC5-7a. Appliances by Four Most Populated States, Million U ...  

U.S. Energy Information Administration (EIA)

Table HC5-7a. Appliances by Four Most Populated States, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total

55

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 - 2011 1960 796.6 36.9 31.3 0.0 NA 37.0 37.0 901.9 1961 756.0 37.3 32.7 0.0 NA 36.4 36.4 862.4

56

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

49 49 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-9.99 10.00-11.99 12.00+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK MD 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-9.99 10.00-11.99 12.00+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK Figure 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 2003 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Power Consumers, 2003 (Dollars per Thousand Cubic Feet) Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Note: States where the electric power price has been withheld (see Table 23) are included in the $0.00-$1.99 price category.

57

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (OSTI)

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.

NONE

1996-10-01T23:59:59.000Z

58

SEDS: State Energy Production Estimates  

U.S. Energy Information Administration (EIA)

Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity. ... Production. by state and for the United States; by energy source;

59

State energy data report 1993: Consumption estimates  

SciTech Connect

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.

NONE

1995-07-01T23:59:59.000Z

60

State Energy Data Report, 1991: Consumption estimates  

DOE Green Energy (OSTI)

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.

Not Available

1993-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

State energy data report 1995 - consumption estimates  

Science Conference Proceedings (OSTI)

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.

NONE

1997-12-01T23:59:59.000Z

62

All Consumption Tables - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a

63

Frequency tracking and parameter estimation for robust quantum state estimation  

SciTech Connect

In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.

Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)

2011-11-15T23:59:59.000Z

64

Table 39. Production Capacity of Operable Petroleum Refineries by State as of January 1, 2003  

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

State/Refiner/Location Alkylates Aromatics State/Refiner/Location Alkylates Aromatics Isobutane Lubricants Isomers Isopentane and Isohexane Asphalt and Road Oil Marketable Petroleum Coke Hydrogen (MMcfd) Sulfur (short tons per day) Table 4. Production Capacity of Operable Petroleum Refineries by State as of January 1, 2013 (Barrels per Stream Day, Except Where Noted) Isooctane a

65

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Appendix - Table B1 1999 2000 2001 2002 2003 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 302,421 341,678 373,304 R 387,772 393,327 Production (million cubic meters) Gross Withdrawals From Gas Wells................................................ 498,099 501,946 513,368 R 503,894 504,585 From Oil Wells.................................................. 176,485 182,582 180,417 R 174,047 176,617 Total................................................................... 674,584 684,528 693,785 R 677,942 681,202 Repressuring ...................................................... 93,235 95,701 95,451 97,839 100,462 Vented and Flared.............................................. 3,123 2,583 2,744

66

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

8 State Federal Year and State From Gas Wells From Oil Wells Total From Gas Wells From Oil Wells Total Total Offshore 1999 Total... 527,126 31,566 558,692 4,225,452...

67

EIA - Annual Energy Outlook 2009 - chapter Tables  

Gasoline and Diesel Fuel Update (EIA)

Chapter Tables Chapter Tables Annual Energy Outlook 2009 with Projections to 2030 Chapter Tables Table 1. Estimated fuel economy for light-duty vehicles, based on proposed CAFE standards, 2010-2015 Table 2. State appliance efficiency standards and potential future actions Table 3. State renewable portfolio standards Table 4. Key analyses from "issues in Focus" in recent AEOs Table 5. Liquid fuels production in three cases, 2007 and 2030 Table 6. Assumptions used in comparing conventional and plug-in hybrid electric vehicles Table 7. Conventional vehicle and plug-in hybrid system component costs for mid-size vehicles at volume production Table 8. Technically recoverable resources of crude oil and natural gas in the Outer Continental Shelf, as of January 1, 2007

68

TABLE 1. Nuclear Reactor, State, Type, Net Capacity ...  

U.S. Energy Information Administration (EIA)

Nuclear Reactor, State, Type, Net Capacity, ... Quad Cities Generating Station River Bend San Onofre Seabrook Sequoyah South Texas Project St Lucie ...

69

State energy data report 1996: Consumption estimates  

Science Conference Proceedings (OSTI)

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.

NONE

1999-02-01T23:59:59.000Z

70

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Annual Energy Outlook 2012 (EIA)

2 State Residential Commercial Industrial Vehicle Fuel Electric Power Alabama... 0.92 0.79 2.22 0.52 1.68 Alaska... 0.33...

71

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

2 2 Volume State State or Country From/To Receipts/ Imports From Deliveries/ Exports To Net a Alabama Florida................................................................... 0 682,935 -682,935 Georgia ................................................................. 0 1,441,380 -1,441,380 Gulf of Mexico ....................................................... 131,698 0 131,698 Mississippi............................................................. 2,929,279 0 2,929,279 Tennessee ............................................................ 1,602 951,228 -949,625 Total ..................................................................... 3,062,579 3,075,542 -12,963

72

Table H1. Estimated Hydrogen Production by Business Sector Business Sector Annual Hydrogen Production  

E-Print Network (OSTI)

In 2007, roughly 9 million metric tons per year of hydrogen was produced in the U.S. 1 in a variety of ways. This production results in about 60 million metric tons of CO2 emissions each year. Table H1 provides estimates of U.S. hydrogen production for the various business sectors. Merchant hydrogen is consumed at sites other than where it is produced. Captive hydrogen (e.g., hydrogen produced at oil refineries, ammonia, and methanol plants) is consumed at the site where it is produced. This technical support document assumes that CO2 emissions associated with captive hydrogen production facilities are included as part of the GHG emissions from the industry producing those other chemical products (e.g., ammonia, petroleum products, and methanol), and therefore this document is focused on merchant hydrogen production.

unknown authors

2008-01-01T23:59:59.000Z

73

Table 6. Energy intensity by state (2000 - 2010  

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

Energy intensity by state (2000 - 2010)" Energy intensity by state (2000 - 2010)" "thousand Btu per dollar of GDP" ,,,,,,,,,,,,"Change" ,,,,,,,,,,,,"2000 to 2010" "State",2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percent","Absolute" "Alabama",18.27258197,17.12573602,17.40982338,17.21199023,16.87274619,16.36600572,16.26201029,16.16667416,15.88996309,15.31511861,15.97051076,-0.1259849985,-2.302071213 "Alaska",21.74118991,20.61708506,19.78031734,20.18143227,20.28953911,21.09573287,18.72961653,17.79373817,15.85124571,14.13669694,14.24461661,-0.3448097058,-7.496573297 "Arizona",8.723022426,8.474435286,8.399371812,7.993493579,8.274516227,7.602521438,7.232690272,7.328159916,7.62679414,7.507000095,7.628169778,-0.1255129924,-1.094852647

74

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

20 20 Natural Gas Movements and Storage Energy Information Administration/Natural Gas Annual 2003 21 Source: Energy Information Administration, Office of Oil and Gas, Natural Gas Division. Figure 7. Principal Interstate Natural Gas Flow Summary, 2003 Billion Cubic Feet 5,000 4,000 3,000 2,000 1,000 0 = Direction of flow = Bi-directional Energy Information Administration / Natural Gas Annual 2003 22 Volume State State or Country From/To Receipts/ Imports From Deliveries/ Exports To Net a Alabama Florida................................................................... 0 682,935 -682,935 Georgia ................................................................. 0 1,441,380 -1,441,380 Gulf of Mexico

75

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

43 Natural Gas Consumer Prices Energy Information Administration / Natural Gas Annual 2003 44 0 2 4 6 8 10 Residential Commercial Onsystem Industrial Onsystem Vehicle Fuel Electric Power Dollars per Thousand Cubic Feet 0 30 60 90 120 150 180 210 240 270 300 330 Dollars per Thousand Cubic Meters 1999 2000 2001 2002 2003 Figure 13. Average Price of Natural Gas Delivered to Consumers in the United States, 1999-2003 Note: Prices are calculated from onsystem sales in all States and sectors except in Georgia, Maryland, New York, Ohio, and Pennsylvania, where prices reflect all deliveries in the residential and commercial sectors. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Federal Energy Regulatory

76

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 0 2 4 6 8 10 Residential Commercial Onsystem Industrial Onsystem Vehicle Fuel Electric Power Dollars per Thousand Cubic Feet 0 30 60 90 120 150 180 210 240 270 300 330 Dollars per Thousand Cubic Meters 1999 2000 2001 2002 2003 Figure 13. Average Price of Natural Gas Delivered to Consumers in the United States, 1999-2003 Note: Prices are calculated from onsystem sales in all States and sectors except in Georgia, Maryland, New York, Ohio, and Pennsylvania, where prices reflect all deliveries in the residential and commercial sectors. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Federal Energy Regulatory Commission (FERC), Form FERC-423, "Monthly Report of Cost and Quality of Fuels for Electric Plants"; and Form EIA-910, "Monthly Natural Gas Marketer Survey

77

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Imports and Exports Energy Information Administration / Natural Gas Annual 2003 14 0 2 4 6 8 10 12 14 16 18 199 2000 2001 2002 2003 Percent 1998 1999 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-64A, "Annual Report of the Origin of Natural Gas Liquids Production"; Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports; Form EIA-895, "Monthly Quantity and Value of Natural Gas Production Report," Form EIA-906, "Power Plant Report"; Form EIA-886, "Annual Survey of Alternative Fueled Vehicle Suppliers and Users"; and EIA estimates. Figure 5. Net Imports as a Percentage of Total Consumption of Natural Gas, 1999-2003

78

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

Administration State Energy Data 2010: Prices and Expenditures 3 2 0 1 0 S U M M A R I E S Table E2. Total End-Use Energy Price Estimates, 2010 (Dollars per Million Btu)...

79

Distributed Robust Power System State Estimation  

E-Print Network (OSTI)

Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

80

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Reported Wellhead Value Year and State Volume a (million cubic feet) Value (thousand dollars) Average Wellhead Price (dollars per thousand cubic feet) Marketed Production (million cubic feet) Imputed Wellhead Value of Marketed Production b (thousand dollars) 1999 Total ............................... 18,595,208 -- 2.19 19,804,848 43,324,690 2000 Total ............................... 17,251,333 -- 3.68 20,197,511 74,338,958 2001 Total ............................... 19,577,660 -- 4.00 20,570,295 82,202,805 2002 Total ............................... R 14,467,289 -- 2.95 R 19,884,780 R 58,596,868 2003 Total ............................... 14,589,545 -- 4.88 19,911,802 97,249,837 Alabama .................................. 348,722 2,066,575 5.93 346,145 2,051,308 Alaska......................................

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

2 2 State Synthetic Natural Gas Propane- Air Refinery Gas Biomass Gas Other Total Alabama ................ 0 22 0 0 0 22 Colorado ................ 0 23 0 0 5,385 5,409 Connecticut............ 0 57 0 0 0 57 Delaware ............... 0 7 0 0 0 7 Georgia.................. 0 14 0 0 0 14 Hawaii.................... 2,602 0 0 0 0 2,602 Illinois .................... 0 49 0 3 0 52 Indiana................... 0 102 0 0 2,274 2,376 Iowa....................... 0 118 0 25 0 143 Kentucky................ 0 98 0 0 0 98 Maryland................ 0 160 0 0 0 160 Maine..................... 0 6 0 0 0 6 Massachusetts....... 0 253 0 0 0 253 Minnesota .............. 0 42 0 0 0 42 Missouri ................. 0 1,056 0 0 0 1,056 Nebraska ............... 0 13 0 0 0 13 New Jersey............ 0 0 0 0 473 473 North Carolina ....... 0 1 0

82

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Salt Caverns Aquifers Depleted Fields Total State Number of Active Fields Capacity Number of Active Fields Capacity Number of Active Fields Capacity Number of Active Fields Capacity Percent of U.S. Capacity Aquifers Salt Caverns Depleted Fields Alabama ................. 1 8 0 0 1 3 2 11 0.13 Arkansas ................ 0 0 0 0 2 22 2 22 0.27 California ................ 0 0 0 0 8 446 8 446 5.44 Colorado................. 0 0 0 0 9 101 9 101 1.23 Illinois ..................... 0 0 17 767 12 206 29 972 11.85 Indiana ................... 0 0 12 81 11 32 23 114 1.38 Iowa ....................... 0 0 4 273 0 0 4 273 3.33 Kansas ................... 1 1 0 0 17 287 18 288 3.51 Kentucky ................ 0 0 3 10 20 211 23 221 2.69 Louisiana................ 6 61 0 0 8 530 14 592 7.21

83

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Electric Power 0 1 2 3 4 5 6 T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Industrial 0 1 2 3 4 5 6 T e x a s L o u i s i a n a C a l i f o r n i a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Commercial 0 1 2 3 4 5 6 N e w Y o r k C a l i f o r n i a T e x a s A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Residential 0 1 2 3 4 5 6 C a l i f o r n i a I l l i n o i s N e w Y o r k A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Note: Vehicle fuel volume for 2003 was 18,346 million cubic feet. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-906, "Power Plant Report"; Form EIA-886, "Annual Survey of Alternative Fueled Service Vehicle Suppliers and Users"; and EIA estimates.

84

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

WA WA MT ID OR WY ND SD CA NV UT CO NE KS AZ NM OK TX MN WI MI IA IL IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Japan Mexico Mexico Algeria Canada Canada Canada Canada Canada Canada Canada Algeria Mexico Trinidad Canada Canada Nigeria Oman Qatar Trinidad Gulf of Mexico Gulf of Mexico Gulf of Mexico Canada Trinidad Trinidad Gulf of Mexico Malaysia 13,623 Figure 8. Interstate Movements of Natural Gas in the United States, 2003 (Million Cubic Feet) Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Energy Information Administration / Natural Gas Annual 2003 Supplemental Data From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 366,224 655,731 666,614 633,960 144,284 43,869 536,776 63,133 36,848

85

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 Residential Commercial Industrial Vehicle Fuel Electric Power State Average Price Percent of Total Volume Delivered Average Price Percent of Total Volume Delivered Average Price Percent of Total Volume Delivered Average Price Average Price Alabama ..................... 11.81 99.98 10.07 81.91 6.64 21.24 -- 5.80 Alaska......................... 4.39 100.00 3.58 59.09 1.75 82.81 -- 2.33 Arizona ....................... 11.31 98.89 7.84 90.70 6.54 39.95 5.65 5.14 Arkansas .................... 10.33 100.00 7.67 81.88 6.94 5.35 5.28 4.37 California .................... 9.13 99.56 8.15 62.34 7.19 5.47 5.76 5.49 Colorado..................... 6.61 99.99 5.93 95.34 4.46 0.93 4.16 4.38 Connecticut................. 12.77 98.73 10.47 68.14 7.52 45.33 10.72 W

86

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 1999 2000 2001 2002 2003 State Volume Price Volume Price Volume Price Volume Price Volume Price Pipeline (Canada) Eastport, ID..................... 800,345 2.04 830,351 3.79 802,182 4.71 759,647 2.83 623,635 4.72 Calais, ME ...................... NA NA 123,521 4.50 152,486 4.47 124,991 3.49 108,342 5.86 Detroit, MI ....................... 7,671 2.51 6,171 3.82 405 9.34 1,948 3.56 2,514 5.96 Marysville, MI.................. 135 2.06 NA NA NA NA 74 3.95 NA NA St. Clair, MI..................... 33,388 2.62 17,198 4.45 21,747 4.54 28,441 3.19 5,202 5.84 International Falls, MN .... 4,857 2.33 3,022 2.77 617 4.85 602 3.01 NA NA Noyes, MN...................... 506,866 2.29 469,361 3.75 448,898 4.19 402,621 3.09 359,640 5.04 Warroad, MN .................. 412 2.06 4,576 3.95 5,318

87

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Gross Withdrawals Year and State From Gas Wells From Oil Wells Total Repressuring Vented And Flared Nonhydro- carbon Gases Removed Marketed Production Extraction Loss Dry Production 1999 Total ................ 17,590,187 6,232,524 23,822,711 3,292,564 110,285 615,014 19,804,848 972,614 18,832,234 2000 Total ................ 17,726,056 6,447,820 24,173,875 3,379,661 91,232 505,472 20,197,511 1,015,542 19,181,969 2001 Total ................ 18,129,408 6,371,371 24,500,779 3,370,832 96,913 462,738 20,570,295 953,984 19,616,311 2002 Total ................ R 17,794,858 R 6,146,420 R 23,941,279 3,455,145 R 99,178 502,176 R 19,884,780 956,992 R 18,927,788 2003 Total ................ 17,819,244 6,237,176 24,056,420 3,547,781 98,113 498,724 19,911,802 875,816 19,035,986 Alabama Total

88

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Natural Gas Supplies Energy Information Administration / Natural Gas Annual 2003 6 Gross Withdrawals Year and State From Gas Wells From Oil Wells Total Repressuring Vented And Flared Nonhydro- carbon Gases Removed Marketed Production Extraction Loss Dry Production 1999 Total ................ 17,590,187 6,232,524 23,822,711 3,292,564 110,285 615,014 19,804,848 972,614 18,832,234 2000 Total ................ 17,726,056 6,447,820 24,173,875 3,379,661 91,232 505,472 20,197,511 1,015,542 19,181,969 2001 Total ................ 18,129,408 6,371,371 24,500,779 3,370,832 96,913 462,738 20,570,295 953,984 19,616,311 2002 Total ................ R 17,794,858 R 6,146,420 R 23,941,279 3,455,145 R 99,178 502,176 R 19,884,780 956,992 R 18,927,788 2003 Total ................ 17,819,244 6,237,176 24,056,420 3,547,781

89

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Residential Commercial Industrial Year and State Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers 1999 Total ................... 4,725,672 58,223,229 3,044,658 5,010,189 8,079,359 228,331 2000 Total ................... 4,996,179 59,252,728 3,182,469 5,010,817 8,142,240 220,251 2001 Total ................... 4,771,340 60,286,364 3,022,712 4,996,446 7,344,219 217,026 2002 Total ................... R 4,888,816 R 61,107,254 R 3,144,169 R 5,064,384 R 7,507,180 R 205,915 2003 Total ................... 5,078,197 61,857,913 3,216,660 5,150,925 7,139,029 205,457 Alabama ...................... 46,566 809,002 25,447 65,313 158,536 2,744 Alaska.......................... 16,853 100,404 17,270 14,502 66,503 10 Arizona ........................

90

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

Year and State Marketed Production Extraction Loss Balancing Item a Net Interstate Movements b Net Movements Across U.S. Borders b Net Storage Changes c Supplemental Gas Supplies Consumption Alabama .................... 346,145 11,293 32,755 -12,963 0 4,212 22 350,454 Alaska........................ 489,757 33,316 47,520 0 -64,389 0 0 439,572 Arizona ...................... 443 0 -8,561 307,249 -26,205 0 0 272,926 Arkansas.................... 169,599 320 -1,527 79,114 0 -51 0 246,917 California ................... 337,216 13,971 -3,834 1,959,883 -60,857 709 0 2,217,727 Colorado .................... 1,011,285 33,650 -4,231 -541,798 0 759 5,409 436,257 Connecticut................ 0 0 -4,901 158,780 0 -140 57 154,076 District Of Columbia... 0 0 -1,652 34,467 0 0 0 32,815 Delaware ...................

91

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Average Price State 1999 2000 2001 2002 2003 Alabama............................... 3.21 4.50 6.63 4.74 6.06 Alaska .................................. 1.32 1.60 2.32 2.36 2.33 Arizona................................. 2.72 4.82 5.02 3.77 4.87 Arkansas.............................. 2.81 4.16 6.11 5.17 6.07 California.............................. 2.61 4.32 6.64 3.20 5.16 Colorado .............................. 2.31 3.53 4.25 2.72 4.11 Connecticut .......................... 4.91 6.73 8.12 6.42 5.59 Delaware.............................. 3.45 3.41 5.16 5.37 5.88 Florida.................................. 3.49 5.10 5.28 3.90 5.87 Georgia ................................ 2.95 4.64 6.02 4.55 6.25 Hawaii .................................. 5.62 8.41 7.86 7.17 8.63 Idaho....................................

92

FPEOS: A First-Principles Equation of State Table of Deuterium for Inertial Confinement Fusion Applications  

E-Print Network (OSTI)

FPEOS: A First-Principles Equation of State Table of Deuterium for Inertial Confinement Fusion) Understanding and designing inertial confinement fusion (ICF) implosions through radiation- hydrodynamics. To minimize the drive energy for ignition, the imploding shell of DT- fuel needs to be kept as cold

Militzer, Burkhard

93

State energy data report 1992: Consumption estimates  

SciTech Connect

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.

Not Available

1994-05-01T23:59:59.000Z

94

Table 2.1c Commercial Sector Energy Consumption Estimates, 1949 ...  

U.S. Energy Information Administration (EIA)

1 See "Primary Energy Consumption" in Glossary. 9 Wind electricity net generation (converted to Btu using the fossil-fuels heat rate—see Table A6).

95

Figure 1.6 State-Level Energy Consumption Estimates and Estimated ...  

U.S. Energy Information Administration (EIA)

Figure 1.6 State-Level Energy Consumption Estimates and Estimated Consumption per Capita, 2010 Consumption Consumption per Capita

96

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

5 5 Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format Excel logo Spreadsheets are provided in excel 1 to117 - Complete set of Supplemental Tables PDF Energy Consumption by Sector (Census Division) Table 1. New England XLS PDF Table 2. Middle Atlantic XLS PDF Table 3. East North Central XLS PDF Table 4. West North Central XLS PDF Table 5. South Atlantic XLS PDF Table 6. East South Central XLS PDF Table 7. West South Central XLS PDF Table 8. Mountain XLS PDF Table 9. Pacific XLS PDF Table 10. Total United States XLS PDF Energy Prices by Sector (Census Division) Table 11. New England XLS PDF Table 12. Middle Atlantic XLS PDF Table 13. East North Central XLS PDF Table 14. West North Central XLS PDF Table 15. South Atlantic XLS PDF Table 16. East South Central

97

Estimated Water Flows in 2005: United States  

Science Conference Proceedings (OSTI)

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.

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

2011-03-16T23:59:59.000Z

98

Optimal error regions for quantum state estimation  

E-Print Network (OSTI)

Rather than point estimators, states of a quantum system that represent one's best guess for the given data, we consider optimal regions of estimators. As the natural counterpart of the popular maximum-likelihood point estimator, we introduce the maximum-likelihood region---the region of largest likelihood among all regions of the same size. Here, the size of a region is its prior probability. Another concept is the smallest credible region---the smallest region with pre-chosen posterior probability. For both optimization problems, the optimal region has constant likelihood on its boundary. We discuss criteria for assigning prior probabilities to regions, and illustrate the concepts and methods with several examples.

Jiangwei Shang; Hui Khoon Ng; Arun Sehrawat; Xikun Li; Berthold-Georg Englert

2013-02-17T23:59:59.000Z

99

Estimated United States Transportation Energy Use 2005  

DOE Green Energy (OSTI)

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.

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

2011-11-09T23:59:59.000Z

100

Electric Grid State Estimators for Distribution Systems with Microgrids  

E-Print Network (OSTI)

Electric Grid State Estimators for Distribution Systems with Microgrids Jing Huang, Vijay Gupta to identify the correct topology. Simulation studies with microgrid induced changes are presented, forecasting- aided state estimation, unscented Kalman filter, recursive Bayesian estimation, microgrid 1

Gupta, Vijay

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Table 8.6b Estimated Consumption of Combustible Fuels for Useful ...  

U.S. Energy Information Administration (EIA)

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:

102

Probabilistic state estimation in regimes of nonlinear error growth  

E-Print Network (OSTI)

State estimation, or data assimilation as it is often called, is a key component of numerical weather prediction (NWP). Nearly all implementable methods of state estimation suitable for NWP are forced to assume that errors ...

Lawson, W. Gregory, 1975-

2005-01-01T23:59:59.000Z

103

Quantum state estimation with unknown measurements  

E-Print Network (OSTI)

Improved measurement techniques are central to technological development and foundational scientific exploration. Quantum optics relies upon detectors sensitive to non-classical features of light, enabling precise tests of physical laws and quantum-enhanced technologies such as precision measurement and secure communications. Accurate detector response calibration for quantum-scale inputs is key to future research and development in these cognate areas. To address this requirement quantum detector tomography (QDT) has been recently introduced. However, the QDT approach becomes increasingly challenging as the complexity of the detector response and input space grows. Here we present the first experimental implementation of a versatile alternative characterization technique to address many-outcome quantum detectors by limiting the input calibration region. To demonstrate the applicability of this approach the calibrated detector is subsequently used to estimate non-classical photon number states.

Merlin Cooper; Michal Karpinski; Brian J. Smith

2013-06-27T23:59:59.000Z

104

Table 1. Summary statistics for natural gas in the United States, 2007-2011  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Summary statistics for natural gas in the United States, 2007-2011 See footnotes at end of table. Number of Wells Producing at End of Year 452,945 476,652 493,100 487,627 514,637 Production (million cubic feet) Gross Withdrawals From Gas Wells R 14,991,891 R 15,134,644 R 14,414,287 R 13,247,498 12,291,070 From Oil Wells R 5,681,871 R 5,609,425 R 5,674,120 R 5,834,703 5,907,919 From Coalbed Wells R 1,999,748 R 2,022,228 R 2,010,171 1,916,762 1,779,055 From Shale Gas Wells 1,990,145 R 2,869,960 R 3,958,315 5,817,122 8,500,983 Total 24,663,656 25,636,257 26,056,893 R 26,816,085 28,479,026 Repressuring 3,662,685 3,638,622 3,522,090 3,431,587 3,365,313 Vented and Flared 143,457 166,909 165,360

105

Table 23. Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2012  

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

Mining Productivity by State, Mine Type, and Mine Production Range, 2012 Mining Productivity by State, Mine Type, and Mine Production Range, 2012 (short tons produced per employee hour) U.S. Energy Information Administration | Annual Coal Report 2012 Table 23. Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2012 (short tons produced per employee hour) U.S. Energy Information Administration | Annual Coal Report 2012 Mine Production Range (thousand short tons) Coal-Producing State, Region 1 and Mine Type Above 1,000 Above 500 to 1,000 Above 200 to 500 Above 100 to 200 Above 50 to 100 Above 10 to 50 10 or Under Total 2 Alabama 1.69 2.50 1.95 1.72 1.83 0.69 0.55 1.68 Underground 1.73 - - - 1.08 0.31 - 1.64 Surface 1.36 2.50 1.95 1.72 2.11 1.19 0.55 1.75 Alaska 5.98 - - - - - - 5.98 Surface 5.98 - - - - - - 5.98 Arizona 7.38 - - - - - - 7.38 Surface

106

Adjusting Internal Model Errors through Ocean State Estimation  

Science Conference Proceedings (OSTI)

Oceanic state estimation is a powerful tool to estimate internal model parameters simultaneously with the model’s initial conditions and surface forcing field that jointly would bring a model into consistency with time-varying large-scale ocean ...

Detlef Stammer

2005-06-01T23:59:59.000Z

107

Distribution System Modeling Based on Dynamic State Estimation.  

E-Print Network (OSTI)

??Distribution automation, demand response and advanced metering infrastructure (AMI) are three important elements of modern smart distribution grid. To achieve it, the real-time state estimate… (more)

Huang, Shih-Che

2013-01-01T23:59:59.000Z

108

Table 3.5 Consumer Expenditure Estimates for Energy by Source ...  

U.S. Energy Information Administration (EIA)

1972. 5,415 -26: 13,198 : 7,552: 1,682: 2,834 : 35,346 : ... 8 Asphalt and road oil, aviation gasoline, kerosene, ... "State Energy Data 2010: Prices and Expenditures"

109

Table 11.4 Nitrous Oxide Emissions, 1980-2009 (Thousand Metric ...  

U.S. Energy Information Administration (EIA)

States 2009 (March 2011), Table 22; and EIA estimates based on the Intergovernmental Panel on Climate Change's Guidelines for National Greenhouse Gas Inventories ...

110

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" 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 PC",1300,8800,,2934,31.18,4.47,"Y" "Single Unit Advanced PC with CCS",650,12000,,5227,80.53,9.51,"Y" "Dual Unit Advanced PC with CCS",1300,12000,,4724,66.43,9.51,"N" "Single Unit IGCC ",600,8700,,4400,62.25,7.22,"N"

111

Mesoscale Cloud State Estimation from Visible and Infrared Satellite Radiances  

Science Conference Proceedings (OSTI)

This study focuses on cloudy atmosphere state estimation from high-resolution visible and infrared satellite remote sensing measurements and a mesoscale model with explicit cloud prediction. The cloud state is defined as 3D spatially distributed ...

T. Vukicevic; T. Greenwald; M. Zupanski; D. Zupanski; T. Vonder Haar; A. S. Jones

2004-12-01T23:59:59.000Z

112

Biomass Estimates for Five Western States.  

DOE Green Energy (OSTI)

The purpose of this report is to describe the woody biomass resource within US Department of Energy's Pacific Northwest and Alaska Regional Biomass Program, comprised of southeast Alaska, Idaho, Montana, Oregon, and Washington. In addition to the regional forest biomass assessment, information will be presented for logging residue, which represents current energy conversion opportunities. The information presented in the report is based on data and relationships already published. Regionally applicable biomass equations are generally not available for species occurring in the west. Because of this, a number of assumptions were made to develop whole-tree biomass tables. These assumptions are required to link algorithms from biomass studies to regional timber inventory data published by the Forest Inventory and Analysis Research Units (FIA), of the Pacific Northwest and Intermountain Research Stations, US Forest Service. These sources and assumptions will be identified later in this report. Tabular biomass data will be presented for 11 resource areas, identified in the FS inventory publications. This report does not include information for the vast area encompassing interior Alaska. Total tress biomass as defined in the report refers to the above ground weight of a tree above a 1.0 foot stump, and exclusive of foliage. A glossary is included that defines specific terms as used in the report. Inventory terminology is derived from forest inventory reports from Forest Inventory and Analysis units at the Intermountain and Pacific Northwest Research Stations. 39 refs., 15 figs., 23 tabs.

Howard, James O.

1990-10-01T23:59:59.000Z

113

Biomass Estimates for Five Western States.  

SciTech Connect

The purpose of this report is to describe the woody biomass resource within US Department of Energy's Pacific Northwest and Alaska Regional Biomass Program, comprised of southeast Alaska, Idaho, Montana, Oregon, and Washington. In addition to the regional forest biomass assessment, information will be presented for logging residue, which represents current energy conversion opportunities. The information presented in the report is based on data and relationships already published. Regionally applicable biomass equations are generally not available for species occurring in the west. Because of this, a number of assumptions were made to develop whole-tree biomass tables. These assumptions are required to link algorithms from biomass studies to regional timber inventory data published by the Forest Inventory and Analysis Research Units (FIA), of the Pacific Northwest and Intermountain Research Stations, US Forest Service. These sources and assumptions will be identified later in this report. Tabular biomass data will be presented for 11 resource areas, identified in the FS inventory publications. This report does not include information for the vast area encompassing interior Alaska. Total tress biomass as defined in the report refers to the above ground weight of a tree above a 1.0 foot stump, and exclusive of foliage. A glossary is included that defines specific terms as used in the report. Inventory terminology is derived from forest inventory reports from Forest Inventory and Analysis units at the Intermountain and Pacific Northwest Research Stations. 39 refs., 15 figs., 23 tabs.

Howard, James O.

1990-10-01T23:59:59.000Z

114

Table 1. Annual estimates, uncertainty, and change Figure 1. Area of timberland and forest land by  

E-Print Network (OSTI)

of Civil Rights, 1400 Independence Avenue, S.W., Washington, DC 20250-9410, or call (800)795-3272 (voice the current employment statistics survey (state). Washington, DC: http, windows, hardwood flooring; NAICS 32191) lost over 38 percent of total employment (over 27,000 lost jobs

115

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

Gasoline and Diesel Fuel Update (EIA)

3. Estimation Results for National and Sub-PAD District Regions 3. Estimation Results for National and Sub-PAD District Regions Dependent Variable: D(RETUS) Dependent Variable: D(RETPAD1X) Dependent Variable: D(RETPAD1Y) Dependent Variable: D(RETPAD1Z) Dependent Variable: D(RETCA) Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 5/29/2000 to 4/30/2001 11/05/2001 to 6/24/2002 Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient C 0.005 C -0.001 C 0.017 C -0.013 C 0.013 (0.114) (0.101) (0.100) (0.112) (0.215) DSPOTUS(-1) 0.437*** DSPOTPAD1X(-1) 0.210*** DSPOTPAD1Y(-1) 0.249*** DSPOTPAD1Z(-1) 0.346*** DSPOTCA(-1) 0.241*** (0.026) (0.023) (0.023) (0.026) (0.031)

116

Dynamic State Estimation Utilizing High Performance Computing Methods  

SciTech Connect

The state estimation tools which are currently deployed in power system control rooms are based on a quasi-steady-state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper presents an overview of the Kalman Filtering process and then focuses on the implementation of the predication component on multiple processors.

Schneider, Kevin P.; Huang, Zhenyu; Yang, Bo; Hauer, Matthew L.; Nieplocha, Jaroslaw

2009-03-18T23:59:59.000Z

117

"Table 1. Aeo Reference Case Projection Results" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"  

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

Aeo Reference Case Projection Results" Aeo Reference Case Projection Results" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated" "Gross Domestic Product" "Real Gross Domestic Product (Average Cumulative Growth)* (Table 2)",0.9772689079,42.55319149 "Petroleum" "Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a)",35.19047501,18.61702128 "Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b)",34.68652106,19.68085106 "Total Petroleum Consumption (Table 4)",6.150682783,66.4893617 "Crude Oil Production (Table 5)",5.99969572,59.57446809 "Petroleum Net Imports (Table 6)",13.27260615,67.0212766 "Natural Gas"

118

State energy data report: Consumption estimates, 1960--1990  

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides estimates of energy consumption by major end-use sectors developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). SEDS is a database for estimating the consumption of energy by end-use sectors (residential, commercial, industrial, and transportation) and electric utilities annually by state. The goal in maintaining SEDS is to produce historical data series of estimated end-use consumption by state, 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.

Not Available

1992-05-15T23:59:59.000Z

119

1999 CBECS Detailed Tables  

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

Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999 Commercial Buildings Energy Consumption Survey (CBECS) are presented in the Building Characteristics tables, which include number of buildings and total floorspace for various Building Characteristics, and Consumption and Expenditures tables, which include energy usage figures for major energy sources. A table of Relative Standard Errors (RSEs) is included as a worksheet tab in each Excel tables. Complete sets of RSE tables are also available in .pdf format. (What is an RSE?) Preliminary End-Use Consumption Estimates for 1999 | Description of 1999 Detailed Tables and Categories of Data

120

Sequential State and Variance Estimation within the Ensemble Kalman Filter  

Science Conference Proceedings (OSTI)

Kalman filter methods for real-time assimilation of observations and dynamical systems typically assume knowledge of the system parameters. However, relatively little work has been done on extending state estimation procedures to include ...

Jonathan R. Stroud; Thomas Bengtsson

2007-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Production and analysis of a Southern Ocean state estimate  

E-Print Network (OSTI)

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried ...

Mazloff, Matthew R

2006-01-01T23:59:59.000Z

122

A state estimator including conventional and synchronized phasor measurements  

Science Conference Proceedings (OSTI)

This paper presents an effective weighted least square formulation for the solution of the state estimation problem, considering conventional as well as synchronized phasor measurements. The proposed algorithm is based on a reference-free formulation, ...

George N. Korres; Nikolaos M. Manousakis

2012-03-01T23:59:59.000Z

123

STABILIZATION OF GAS LIFTED WELLS BASED ON STATE ESTIMATION  

E-Print Network (OSTI)

STABILIZATION OF GAS LIFTED WELLS BASED ON STATE ESTIMATION Gisle Otto Eikrem Lars Imsland Bjarne well. Two different controllers are investigated, PI control using the estimated downhole pressure in the well, and nonlinear model based control of the total mass in the system. Both control structures rely

Foss, Bjarne A.

124

Quantum parameter estimation using general single-mode Gaussian states  

E-Print Network (OSTI)

We calculate the quantum Cram\\'er--Rao bound for the sensitivity with which one or several parameters, encoded in a general single-mode Gaussian state, can be estimated. This includes in particular the interesting case of mixed Gaussian states. We apply the formula to the problems of estimating phase, purity, loss, amplitude, and squeezing. In the case of the simultaneous measurement of several parameters, we provide the full quantum Fisher information matrix. Our results unify previously known partial results, and constitute a complete solution to the problem of knowing the best possible sensitivity of measurements based on a single-mode Gaussian state.

Olivier Pinel; Pu Jian; Claude Fabre; Nicolas Treps; Daniel Braun

2013-06-19T23:59:59.000Z

125

Frequency Tracking and Parameter Estimation for Robust Quantum State-Estimation  

E-Print Network (OSTI)

In this paper we consider the problem of tracking the state of a quantum system via a continuous measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state-estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency

Jason F. Ralph; Kurt Jacobs; Charles D. Hill

2009-07-29T23:59:59.000Z

126

Table 12. Interstate movements and movements across U.S. borders of natural gas by state, 2012  

Gasoline and Diesel Fuel Update (EIA)

6 6 Table 12. Interstate movements and movements across U.S. borders of natural gas by state, 2012 (million cubic feet) See footnotes at end of table. Alabama Florida 0 1,246,541 -1,246,541 Georgia 0 1,714,216 -1,714,216 Gulf of Mexico 154,527 0 154,527 Mississippi 3,635,297 0 3,635,297 Tennessee 79,316 290,500 -211,184 Total 3,869,140 3,251,257 617,883 Alaska Japan 0 9,342 -9,342 Total 0 9,342 -9,342 Arizona California 83,992 951,872 -867,880 Mexico 2,546 46,385 -43,838 New Mexico 1,256,916

127

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2005-2009  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2005-2009 See footnotes at end of table. Number of Wells Producing at End of Year .... 425,887 440,516 452,945 R 476,652 493,100 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 494,748 509,577 483,238 R 442,265 420,197 From Oil Wells ................................................ 169,476 156,860 164,759 R 162,742 164,611 From Coalbed Wells ....................................... NA NA 50,400 R 56,249 55,990 From Shale Gas Wells .................................... NA NA NA 64,682 95,811 Total ................................................................. 664,223 666,438 698,397 R 725,938 736,609

128

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2004-2008  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2004-2008 See footnotes at end of table. Number of Wells Producing at End of Year .... 406,147 425,887 440,516 R 452,945 478,562 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 506,454 494,748 509,577 R 483,238 510,019 From Oil Wells ................................................ 172,292 169,476 156,860 R 164,759 165,506 From Coalbed Wells ....................................... NA NA NA 50,400 53,757 Total ................................................................. 678,746 664,223 666,438 R 698,397 729,282 Repressuring .................................................... 104,819 104,759

129

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2003-2007  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2003-2007 See footnotes at end of table. Number of Wells Producing at End of Year .... 393,327 406,147 425,887 R 440,516 452,768 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 506,356 506,454 494,748 R 509,577 530,629 From Oil Wells ................................................ 176,617 172,292 169,476 R 156,860 165,699 Total ................................................................. 682,973 678,746 664,223 R 666,438 696,328 Repressuring .................................................... 100,462 104,819 104,759 92,453 107,274 Vented and Flared ............................................

130

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2002-2006  

Gasoline and Diesel Fuel Update (EIA)

5 5 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2002-2006 See footnotes at end of table. Number of Gas and Gas Condensate Wells Producing at End of Year .................................. 387,772 393,327 406,147 R 425,887 448,641 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 503,894 506,356 506,454 R 494,748 508,075 From Oil Wells ................................................ 174,047 176,617 172,292 R 169,476 157,583 Total ................................................................. 677,942 682,973 678,746 R 664,223 665,657 Repressuring .................................................... 97,839 100,462 104,819 R 104,759 92,453 Vented and Flared

131

Table 12. Interstate movements and movements across U.S. borders of natural gas by state, 2011  

Gasoline and Diesel Fuel Update (EIA)

6 6 Table 12. Interstate movements and movements across U.S. borders of natural gas by state, 2011 (million cubic feet) See footnotes at end of table. Alabama Florida 0 1,167,184 -1,167,184 Georgia 0 1,665,731 -1,665,731 Gulf of Mexico 195,241 0 195,241 Mississippi 3,690,612 0 3,690,612 Tennessee 536 573,157 -572,621 Total 3,886,389 3,406,072 480,317 Alaska Japan 0 15,271 -15,271 China 0 1,127 -1,127 Total 0 16,398 -16,398 Arizona California 122,198 940,673 -818,475 Mexico 3,061

132

Tables - Refinery Capacity Report  

U.S. Energy Information Administration (EIA)

Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2009: PDF: 2: Production Capacity of Operable ...

133

Parameter estimation using NOON states over a relativistic quantum channel  

E-Print Network (OSTI)

We study the effect of the acceleration of the observer on a parameter estimation protocol using NOON states. An inertial observer, Alice, prepares a NOON state in Unruh modes of the quantum field, and sends it to an accelerated observer, Rob. We calculate the quantum Fisher information of the state received by Rob. We find the counter-intuitive result that the single rail encoding outperforms the dual rail. The NOON states have an optimal $N$ for the maximum information extractable by Rob, given his acceleration. This optimal $N$ decreases with increasing acceleration.

Dominic Hosler; Pieter Kok

2013-06-13T23:59:59.000Z

134

Table of Exhibits..................................................................................................... iii  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

Pjm Interconnection

2007-01-01T23:59:59.000Z

135

Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method,  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Continuous 1 Conventional and Other 2 Longwall 3 Total Coal-Producing State Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage

136

ARM Site Atmospheric State Best Estimates for AIRS Validation  

NLE Websites -- All DOE Office Websites (Extended Search)

Site Atmospheric State Best Estimates 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 Propulsion Laboratory Pasadena, California Introduction The atmospheric infrared sounder (AIRS) is a high spectral resolution infrared sounder on the earth observing plan (EOS) Aqua platform. Temperature and water vapor profile retrievals from AIRS are

137

The Lithium-Ion Cell: Model, State Of Charge Estimation  

E-Print Network (OSTI)

The Lithium-Ion Cell: Model, State Of Charge Estimation and Battery Management System Tutor degradation mechanisms of a Li-ion cell based on LiCoO2", Journal of Power Sources #12;Lithium ions and e and Y. Fuentes. Computer simulations of a lithium-ion polymer battery and implications for higher

Schenato, Luca

138

Process state estimation in a wastewater biological treatment  

Science Conference Proceedings (OSTI)

Using clustering techniques for data classification is very common. In this paper a Self-Organizing Map model is used to carry out an estimation of the process state in a wastewater biological treatment using clustering algorithms and validation indexes. ... Keywords: biological treatment, chemical oxygen demand, clustering, self-organizing mapping, validation, wastewater

Iván Machóh; Hilario López; Antonio Robles

2005-07-01T23:59:59.000Z

139

State estimation in bioprocesses: extended Kalman filter vs. neural network  

Science Conference Proceedings (OSTI)

In biotechnology the demand for process control strategies has increased during the last decades. As fermentation processes become more and more complex, increasing requirements are posed to the control tools. A high-level process control depends on ... Keywords: streptococcus thermophilus, bio-engineering, extended Kalman filter, neural networks, state estimation

J. Hörrmann; D. Barth; M. Kräling; H. Röck

2007-05-01T23:59:59.000Z

140

Estimating the State of AC Power Systems using Semidefinite Programming  

E-Print Network (OSTI)

An important monitoring task for power networks is to estimate accurately the underlying grid state, which is useful for security-constrained dispatch and power system control. For nonlinear AC power systems, the state estimation (SE) problem is inherently nonconvex giving rise to many local optima. As a result, existing estimators used extensively in practice rely on iterative optimization methods, which are destined to return only locally optimal solutions. A semidefinite programming (SDP) based approach is introduced in this paper, which relies on convex relaxation of the original SE problem and thereby renders it efficiently solvable. A sufficient condition also becomes available to guarantee that the dual SDP problem attains zero duality gap, and thus ensure that the globally optimal SE solution is achievable in polynomial time. The novel scheme's ability to markedly outperform existing iterative alternatives is corroborated through numerical tests on the standard IEEE 14-bus benchmark system.

Zhu, Hao

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Table 6. Coal production and number of mines by State and coal...  

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

Coal production and number of mines by State and coal rank, 2011" "(thousand short tons)" ,"Bituminous",,"Subbituminous",,"Lignite",,"Anthracite",,"Total" "Coal-Producing State and...

142

Estimated Carbon Dioxide Emissions in 2008: United States  

Science Conference Proceedings (OSTI)

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.

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

2011-04-01T23:59:59.000Z

143

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

Gasoline and Diesel Fuel Update (EIA)

by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month Sulfur Less Than or Equal to 1 Percent Sulfur Greater Than 1 Percent Average...

144

Table 13. Production of Crude Oil by PAD District and State ...  

U.S. Energy Information Administration (EIA)

Sources: State government agencies, U.S. Department of the Interior, Minerals Management Service, and the Conservation Committee of California Oil ...

145

1. Sentence 9.25.2.1.(1) and Table 9.25.2.1. state:  

E-Print Network (OSTI)

The amendments to the Alberta Building Code 2006 addressing high-intensity residential fires include a requirement to provide a drywall finish (or other similar performing material), along with insulation and vapour barrier to the interior of attached garages. The requirement for the interior finish was added to delay the spread of a fire originating in an attached garage and to give occupants extra time to evacuate the associated dwelling unit. The requirement for insulation and a vapour barrier was added to the amendments as a precautionary measure due to the presence of the interior finish. It was felt that homeowners who purchase a house with a finished garage may be unaware that there was no insulation in the walls. If that homeowner were to then provide heat to the garage, thinking that it was in fact insulated, condensation would form within the exterior wall assembly which could lead to deterioration of the garage structural supports and the potential for the formation of mould and mildew. Sentence 9.25.2.1.(1) and Table 9.25.2.1. contain requirements for insulating heated garage, but does not contain any requirements for an unheated garage. This STANDATA has been developed to clarify what minimum insulation values are to be supplied in unheated attached garages.

unknown authors

2009-01-01T23:59:59.000Z

146

Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2008-2012  

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

6 6 Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2008-2012 See footnotes at end of table. Number of Wells Producing at End of Year 476,652 493,100 487,627 514,637 482,822 Production (million cubic meters) Gross Withdrawals From Gas Wells 428,565 408,167 375,127 348,044 360,663 From Oil Wells 158,841 160,673 165,220 167,294 140,725 From Coalbed Wells 57,263 56,922 54,277 50,377 43,591 From Shale Gas Wells 81,268 112,087 164,723 240,721 291,566 Total 725,938 737,849 759,347 806,436 836,545 Repressuring 103,034 99,734 97,172 95,295 92,304 Vented and Flared 4,726 4,682 4,699 5,931 6,027 Nonhydrocarbon Gases Removed 20,351 20,431 23,693 24,577 21,573

147

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" type=text/css rel=stylesheet> Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > RSE Tables 2003 CBECS Relative Standard Error (RSE) Tables Released: Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100. (More information on RSEs)

148

Table 4. 2010 State energy-related carbon dioxide emission shares by sector  

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

2010 State energy-related carbon dioxide emission shares by sector " 2010 State energy-related carbon dioxide emission shares by sector " "percent of total" ,"Shares" "State","Commercial","Electric Power","Residential","Industrial","Transportation" "Alabama",0.01584875241,0.5778871607,0.02136328943,0.1334667239,0.2514340736 "Alaska",0.06448385239,0.0785744956,0.0462016929,0.4291084798,0.3816314793 "Arizona",0.02474932909,0.5668758159,0.02425067581,0.04966758421,0.334456595 "Arkansas",0.03882032779,0.4886410984,0.03509200153,0.1307772146,0.3066693577 "California",0.04308920353,0.1176161395,0.07822332929,0.1824277392,0.5786435885 "Colorado",0.04301641968,0.4131279202,0.08115394032,0.1545280216,0.3081736982

149

TABLE OF CONTENTS  

E-Print Network (OSTI)

Table of Contents………………………………………………………………………………...…...i List of Tables……………………………………………………………………………………….....ii

Ingleside Tx; Base Realignment

2010-01-01T23:59:59.000Z

150

2003 CBECS Detailed Tables: Summary  

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

the Tables | Estimation of Energy End-Use Consumption | CBECS Glossary | FAQs | Other Years: 1999 1995 1992 Complete Set of All Tables (Tables A1-A8, B1-B46, C1-C38, C1A-C38A,...

151

Table 4. Biodiesel Producers and Production Capacity by State, September 2013  

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

Biodiesel Producers and Production Capacity by State, September 2013" Biodiesel Producers and Production Capacity by State, September 2013" "State","Number of Producers","Annual Production Capacity (million gallons per year)" "Alabama",3,47 "Alaska",0,0 "Arizona",1,2 "Arkansas",3,85 "California",9,60.65 "Colorado",0,0 "Connecticut",2,3.05 "Delaware",0,0 "District of Columbia",0,0 "Florida",0,0 "Georgia",3,16 "Hawaii",1,5 "Idaho",1,1 "Illinois",5,166.5 "Indiana",2,104 "Iowa",8,249.5 "Kansas",1,1.2 "Kentucky",5,68.1 "Louisiana",1,12 "Maine",1,0.6 "Maryland",0,0 "Massachussetts",1,0.5 "Michigan",2,17.916

152

Table 5. Per capita energy-related carbon dioxide emissions by state (2000 - 201  

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

Per capita energy-related carbon dioxide emissions by state (2000 - 2010)" Per capita energy-related carbon dioxide emissions by state (2000 - 2010)" "metric tons carbon dioxide per person" ,,,,,,,,,,,,"Change" ,,,,,,,,,,,,"2000 to 2010" "State",2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percent","Absolute" "Alabama",31.54590416,29.56352198,30.5739632,30.56483509,30.96927578,31.14605742,31.33283758,31.52225314,29.78727412,25.44798199,28.06679306,-0.1102872527,-3.479111105 "Alaska",70.60324067,68.51009907,67.8551127,67.17588806,70.92646205,72.04509462,67.81012638,64.8863351,57.56413017,54.58358965,54.63289567,-0.2261984697,-15.97034499 "Arizona",16.64049197,16.65546102,16.08173855,15.97087112,16.77174168,16.18743942,16.15392734,16.06780183,15.87052371,14.3654833,14.36549251,-0.1367146759,-2.274999466

153

Table 8. Carbon intensity of the economy by state (2000 - 2010  

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

Carbon intensity of the economy by state (2000 - 2010)" Carbon intensity of the economy by state (2000 - 2010)" "metric tons energy-related carbon dioxide per million dollars of GDP" ,,,,,,,,,,,,"Change" ,,,,,,,,,,,,"2000 to 2010" "State",2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percent","Absolute" "Alabama",1058.711976,985.9830444,997.7398528,980.4829779,950.0822539,936.4496611,935.6825335,938.4848601,889.0206564,785.4772247,861.2952959,-0.1864687321,-197.4166798 "Alaska",1298.328591,1216.063856,1175.487563,1199.290881,1223.852261,1270.682404,1148.488204,1084.165172,961.0592359,850.2898059,859.7252518,-0.337821521,-438.6033395 "Arizona",479.5818378,474.991173,460.4738058,446.205915,465.2665852,433.7092206,418.4239106,416.7348091,426.892719,409.9336342,419.7764202,-0.1247032579,-59.80541762

154

Table 1. State energy-related carbon dioxide emissions by year (2000 - 2010  

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

State energy-related carbon dioxide emissions by year (2000 - 2010)" State energy-related carbon dioxide emissions by year (2000 - 2010)" "million metric tons carbon dioxide" ,,,,,,,,,,,,"Change" ,,,,,,,,,,,," 2000 to 2010 " "State",2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percent","Absolute" "Alabama",140.4264977,131.9521389,136.7103146,137.2323195,139.6896437,141.493798,143.9716001,146.076107,139.2224128,119.7962734,132.7462762,-0.05469211069,-7.680221558 "Alaska",44.32104312,43.40375114,43.56121812,43.5078746,46.76217106,48.06229125,45.79367017,44.11576503,39.46205329,37.91867389,38.72718369,-0.1262122693,-5.593859429 "Arizona",85.96984024,88.33838336,87.66914741,89.29026566,96.58329461,96.7032775,100.0087541,102.1950438,103.1458188,94.63481918,95.91303514,0.1156591064,9.943194897

155

Table 3. 2010 state energy-related carbon dioxide emissions by sector  

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

2010 state energy-related carbon dioxide emissions by sector " 2010 state energy-related carbon dioxide emissions by sector " "million metric tons of carbon dioxide" "State","Commercial","Electric Power","Residential","Industrial","Transportation","Total" "Alabama",2.103862865,76.71236863,2.835897119,17.71721059,33.37693698,132.7462762 "Alaska",2.497277997,3.042968925,1.789261448,16.61816292,14.7795124,38.72718369 "Arizona",2.373783271,54.37078005,2.325955921,4.76376875,32.07874715,95.91303514 "Arkansas",2.566776983,32.30865878,2.320262268,8.646911643,20.27679552,66.11940519 "California",15.93482613,43.49564577,28.92778352,67.46363514,213.9882899,369.8101805 "Colorado",4.150125234,39.85763155,7.82954551,14.90850811,29.73188961,96.47770002

156

Table 2. 2010 state energy-related carbon dioxide emissions by fuel  

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

2010 state energy-related carbon dioxide emissions by fuel " 2010 state energy-related carbon dioxide emissions by fuel " "million metric tons of carbon dioxide" ,,,,,," Shares " "State","Coal","Petroleum","Natural Gas ","Total","Coal","Petroleum","Natural Gas" "Alabama",67.81545193,35.95576449,28.97505976,132.7462762,0.5108651925,0.2708608145,0.218273993 "Alaska",1.364880388,19.58916888,17.77313443,38.72718369,0.03524347131,0.5058247724,0.4589317562 "Arizona",43.2377726,34.82066125,17.85460129,95.91303514,0.4508018387,0.3630440972,0.1861540641 "Arkansas",27.72445786,23.82768621,14.56726112,66.11940519,0.4193089424,0.3603735717,0.2203174859 "California",5.157135123,241.2575077,123.3955377,369.8101805,0.01394535736,0.6523820067,0.3336726359

157

Table C6. Wholesale Propane Prices by Region and State (Cents ...  

U.S. Energy Information Administration (EIA)

Wholesale Propane Prices by Region and State (Cents per Gallon) P=Preliminary data. ... New York 67.5 68.3 67.2 72.0 74.4 86.0 89.2 82.8 86.6 131.8 94.3 80.2

158

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

Gasoline and Diesel Fuel Update (EIA)

A1. Notes and Sources 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 Science Basis: Errata (Cambridge, UK: Cambridge University Press, 2008), website http://ipcc-wg1.ucar.edu/wg1/Report/AR4WG1_Errata_2008-12-01.pdf. Table 2. U.S. greenhouse gas intensity and related factors, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the

159

Estimated United States Residential Energy Use in 2005  

DOE Green Energy (OSTI)

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.

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

2011-12-12T23:59:59.000Z

160

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 7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005 Total.................................................................................. 111.1 7.1 7.0 8.0 12.1 Do Not Have Cooling Equipment.................................... 17.8 1.8 Q Q 4.9 Have Cooling Equipment................................................. 93.3 5.3 7.0 7.8 7.2 Use Cooling Equipment.................................................. 91.4 5.3 7.0 7.7 6.6 Have Equipment But Do Not Use it................................ 1.9 Q N Q 0.6 Type of Air-Conditioning Equipment 1, 2 Central System............................................................. 65.9 1.1 6.4 6.4 5.4 Without a Heat Pump................................................. 53.5 1.1 3.5 5.7 4.9 With a Heat Pump......................................................

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

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 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................................................................... 42.3 2.4 3.0 2.7 4.1 A Few Times Each Week.............................................. 27.2 2.1 1.7 1.7 2.5 About Once a Week...................................................... 3.9 0.3 Q 0.4 0.6 Less Than Once a Week............................................... 4.1 Q Q 0.3 0.4 No Hot Meals Cooked...................................................

162

"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" 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 "4 Persons",15.9,1,0.9,1,2.3 "5 Persons",7.9,0.6,0.6,0.9,0.9 "6 or More Persons",4.1,0.4,"Q",0.5,0.7 "2005 Annual Household Income Category" "Less than $9,999",9.9,0.8,0.7,0.9,1 "$10,000 to $14,999",8.5,0.8,0.4,0.6,0.7

163

Natural Gas Processing Plants in the United States: 2010 Update / Table 1  

Gasoline and Diesel Fuel Update (EIA)

1. Natural Gas Processing Plant Capacity by State 1. Natural Gas Processing Plant Capacity by State Natural Gas Processing Capacity (Million Cubic Feet per Day) Number of Natural Gas Plants Average Plant Capacity (Million Cubic Feet per Day) Change Between 2004 and 2009 State 2009 Percent of U.S. Total 2009 Percent of U.S. Total 2004 2009 Capacity (Percent) Number of Plants Texas 19,740 25.5 163 33.1 95 121 24.7 -3 Louisiana 18,535 23.9 60 12.2 271 309 12.3 -1 Wyoming 7,273 9.4 37 7.5 154 197 5.1 -8 Colorado 3,791 4.9 44 8.9 49 86 81.1 1 Oklahoma 3,740 4.8 58 11.8 58 64 8.8 -1 New Mexico 3,022 3.9 24 4.9 137 126 -11.8 -1 Mississippi 2,273 2.9 4 0.8 262 568 44.6 -2 Illinois 2,102 2.7 2 0.4 1101 1,051 -4.6 0 Kansas 1,250 1.6 6 1.2 353 208 -64.6 -4 Alabama 1,248 1.6 12 2.4 87 104 -4.7 -3 Utah 1,185 1.5 12 2.4 61 99 22.2 -4 Michigan 977 1.3 10 2.0 30 98 102.2 -6 California 876 1.1 20 4.1 43 44 -15.5 -4 Arkansas 710 0.9 4 0.8 10 178

164

Demonstration experiments for solid state physics using a table top mechanical Stirling refrigerator  

E-Print Network (OSTI)

Liquid free cryogenic devices are acquiring importance in basic science and engineering. But they can also lead to improvements in teaching low temperature an solid state physics to graduate students and specialists. Most of the devices are relatively expensive, but small sized equipment is slowly becoming available. Here, we have designed several simple experiments which can be performed using a small Stirling refrigerator. We discuss the measurement of the critical current and temperature of a bulk YBa2Cu3O(7-d) (YBCO) sample, the observation of the levitation of a magnet over a YBCO disk when cooled below the critical temperature and the observation of a phase transition using ac calorimetry. The equipment can be easily handled by students, and also used to teach the principles of liquid free cooling.

Osorio, M R; Rodrigo, J G; Suderow, H; Vieira, S; 10.1088/0143-0807/33/4/757

2012-01-01T23:59:59.000Z

165

Natural Gas Processing Plants in the United States: 2010 Update / Table 2  

Gasoline and Diesel Fuel Update (EIA)

2. Average Annual Flows and Utilization Rates for Processing Plants in the United States 2. Average Annual Flows and Utilization Rates for Processing Plants in the United States Average Annual Flows (Million Cubic Feet per Day) Minimum Plant Utilization Rate Maximum Plant Utilization Rate Average Utilization Rate (Percent) 2008 Percent of U.S. Total Texas 14,020 27.3 3 100 71 Louisiana 10,462 20.4 3 100 56 Alaska 8,105 15.8 77 100 86 Wyoming 4,462 8.7 21 100 61 Colorado 2,934 5.7 15 100 77 Oklahoma 2,789 5.4 12 100 75 New Mexico 2,221 4.3 17 95 73 Illinois 1,601 3.1 35 76 76 Kansas 852 1.7 51 84 68 Alabama 746 1.5 32 80 60 Utah 728 1.4 22 100 61 Mississippi 688 1.3 29 67 30 California 557 1.1 2 100 64 West Virginia 382 0.7 70 91 82 Kentucky 217 0.4 40 92 75 Michigan 182 0.4 5 100 19 North Dakota 158 0.3 33 94 80 Montana 89 0.2 27 88 54 Pennsylvania 36 0.1 43 89 70 Arkansas 27 0.1 3 90 4 Florida 20 0.0 22 22 22 Tennessee 16 0.0 64 64 64 TOTAL U.S. 51,289 100.0 2 100 66 Note: Average utilization rates are based on 2008 flows and 2009 capacity,

166

Multi-area power system state estimation utilizing boundary measurements and phasor measurement units ( PMUs)  

E-Print Network (OSTI)

The objective of this thesis is to prove the validity of a multi-area state estimator and investigate the advantages it provides over a serial state estimator. This is done utilizing the IEEE 118 Bus Test System as a sample system. This thesis investigates the benefits that stem from utilizing a multi-area state estimator instead of a serial state estimator. These benefits are largely in the form of increased accuracy and decreased processing time. First, the theory behind power system state estimation is explained for a simple serial estimator. Then the thesis shows how conventional measurements and newer, more accurate PMU measurements work within the framework of weighted least squares estimation. Next, the multi-area state estimator is examined closely and the additional measurements provided by PMUs are used to increase accuracy and computational efficiency. Finally, the multi-area state estimator is tested for accuracy, its ability to detect bad data, and computation time.

Freeman, Matthew A

2006-08-01T23:59:59.000Z

167

Ensemble State Estimation for Nonlinear Systems Using Polynomial Expansions in the Innovation  

Science Conference Proceedings (OSTI)

A new framework is presented for understanding how a nonnormal probability density function (pdf) may affect a state estimate and how one might usefully exploit the nonnormal properties of the pdf when constructing a state estimate. A Bayesian ...

Daniel Hodyss

2011-11-01T23:59:59.000Z

168

Advanced Substation Data Collecting and Processing for State Estimation Enhancement  

E-Print Network (OSTI)

functions within a substation can be performed more efficiently if all the substation data is collected from and shared among Intelligent Electronic Devices (IEDs). Gathered measurements and apparatus statuses can be processed by (local) substation computer(s). Processing includes data consistency checking, switching sequence monitoring, predicting switching outcomes, etc. Processed data may be used locally and/or communicated to remote sites (neighboring substations and/or control centers). Substation data integration is facilitated by existence and appropriate connection of IEDs. The paper presents an approach to implementation of substation data integration and information exchange. The emphasis is on the utilization of local data redundancy to enhance power system state estimation, especially topology error detection.

Sasa Jakovljevic; Student Member; Mladen Kezunovic

2002-01-01T23:59:59.000Z

169

Table 4. 2010 State energy-related carbon dioxide emission shares by sector  

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

percent of total percent of total State Commercial Electric Power Residential Industrial Transportation Alabama 1.6% 57.8% 2.1% 13.3% 25.1% Alaska 6.4% 7.9% 4.6% 42.9% 38.2% Arizona 2.5% 56.7% 2.4% 5.0% 33.4% Arkansas 3.9% 48.9% 3.5% 13.1% 30.7% California 4.3% 11.8% 7.8% 18.2% 57.9% Colorado 4.3% 41.3% 8.1% 15.5% 30.8% Connecticut 9.2% 20.8% 20.9% 5.2% 43.9% Delaware 7.1% 36.0% 9.0% 9.1% 38.8% District of Columbia 35.5% 5.6% 25.2% 1.0% 32.7% Florida 2.2% 48.6% 0.7% 5.0% 43.5% Georgia 2.3% 45.5% 4.8% 8.3% 39.0% Hawaii 1.3% 40.1% 0.3% 9.0% 49.3% Idaho 6.6% 4.1% 10.0% 21.0% 58.3% Illinois 5.0% 40.8% 10.3% 14.7% 29.2% Indiana 2.4% 52.2% 4.0% 22.1% 19.3% Iowa 4.7% 45.7% 5.1% 20.2% 24.3% Kansas 2.7% 47.2% 6.0% 20.1% 24.0% Kentucky 1.6% 62.5% 2.5% 11.9% 21.5% Louisiana 0.9% 19.1% 1.2% 57.3% 21.6% Maine 9.6% 14.0% 14.6% 15.6% 46.3% Maryland 7.0% 35.3% 9.4% 5.9% 42.3% Massachusetts 9.3% 24.9% 18.8% 4.7%

170

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

10 10 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

171

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

09 09 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

172

Table 16. Natural gas delivered to consumers by sector, 2008-2012, and by state and sector, 2012  

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

1 1 Table 16. Natural gas delivered to consumers by sector, 2008-2012, and by state and sector, 2012 2008 Total 4,892,277 65,073,996 3,152,529 5,444,335 6,670,182 225,044 2009 Total 4,778,907 65,329,582 3,118,592 5,322,332 6,167,371 207,624 2010 Total 4,782,412 65,542,345 3,102,593 5,301,576 6,826,192 192,730 2011 Total R 4,713,777 R 65,940,522 R 3,155,319 R 5,319,817 R 6,994,120 R 189,301 2012 Total 4,148,970 66,624,457 2,895,358 5,355,613 7,223,835 189,330 Alabama 27,582 767,412 21,574 67,234 171,730 3,045 Alaska 21,380 122,983 19,898 13,134 6,357 3 Arizona 34,974 1,157,688 31,530 56,532 22,657 379 Arkansas 26,191 549,959 41,435 68,765 81,399 988 California 477,931 10,681,916 253,148 442,708 735,787 37,685 Colorado 115,306 1,659,808

173

Table 16. Natural gas delivered to consumers by sector, 2007-2011, and by state and sector, 2011  

Gasoline and Diesel Fuel Update (EIA)

1 1 Table 16. Natural gas delivered to consumers by sector, 2007-2011, and by state and sector, 2011 2007 Total 4,722,358 64,964,769 3,012,904 5,308,785 6,654,716 198,289 2008 Total 4,892,277 65,073,996 3,152,529 5,444,335 6,670,182 225,044 2009 Total 4,778,907 65,329,582 3,118,592 5,322,332 6,167,371 207,624 2010 Total R 4,782,412 R 65,542,345 R 3,102,593 R 5,301,576 R 6,826,192 R 192,730 2011 Total 4,713,695 65,938,523 3,153,605 5,319,405 6,904,843 189,097 Alabama 36,556 772,248 25,136 67,657 153,067 2,976 Alaska 20,262 121,736 16,652 13,024 6,769 5 Arizona 38,592 1,146,286 32,633 56,547 21,724 371 Arkansas 33,737 551,795 39,986 67,815 85,175 1,131 California 512,565 10,625,190 246,141 440,990 706,350 37,575 Colorado 130,116 1,645,716

174

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

175

Microsoft Word - table_23.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 23. Average Price of Natural Gas Delivered to Consumers by State and Sector, 2006 (Dollars per Thousand Cubic Feet) Alabama ... 18.80 100.00...

176

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2006 Alabama ... 1.44 1.81...

177

Microsoft Word - table_25.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2008 Alabama ... 1.19 1.74...

178

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2007 Alabama ... 1.31 1.83...

179

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2005 Alabama ... 1.56 1.59...

180

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2009 Alabama ... 1.1 2.0...

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

FY 2013 State Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Fossil Energy Research and Development 5,955 13,076 7,255 Naval Petroleum and Oil Shale Reserves Naval Petroleum and Oil Shale Reserves Productions Operations 3,280 2,480...

182

Emergency Operations Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

unknown authors

2012-01-01T23:59:59.000Z

183

Table Search (or Ranking Tables)  

E-Print Network (OSTI)

Table Search (or Ranking Tables) Alon Halevy Google DBRank @ ICDE March 1, 2010 #12;Structured Data organizations Requires infrastructure, concerns about losing control Hard to find structured data via search Search #1 store locations used cars radio stations patents recipes · Deep = not accessible through

Halevy, Alon

184

Global Carbon Biomass Tables  

NLE Websites -- All DOE Office Websites (Extended Search)

Table 1c. Mixed Forest Classes Table 1d. NaturalBurnt Forest Mosaic Classes Table 1e. CropForest Mosaic Classes Table 1f. Shrub Cover Classes Table 1g. Grassland Classes Table...

185

this table  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table 1.2 World Petroleum Consumption, 1980-2006 (Thousand Barrels per Day) Page 1980.00 ...

186

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...

187

Table 4  

Gasoline and Diesel Fuel Update (EIA)

378 913 993 1,130 1,316 1,625 8.24 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

188

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

1) 1) June 2013 State Energy Price and Expenditure Estimates 1970 Through 2011 2011 Price and Expenditure Summary Tables Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2011 (Dollars per Million Btu) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f Alabama 3.09 5.66 26.37 22.77 25.54 27.12 13.18 19.42 25.90 0.61 3.01 8.75 2.56 27.08 19.85 Alaska 3.64 6.70 29.33 23.12 29.76 31.60 20.07 34.62 26.61 - 14.42 20.85 6.36 47.13 25.17 Arizona 1.99 7.07 27.73 22.84 31.95 26.97 17.00 17.23 26.71 0.75 6.31 10.79 2.16 28.46 25.23 Arkansas 1.93 6.94 26.37 22.45 26.66 27.35 17.35 33.22

189

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

4) 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 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Coal Natural Gas c Petroleum Nuclear Electric Power Hydro- electric Power d Biomass e Other f Net Interstate Flow of Electricity/Losses g Residential Commercial Industrial b Transportation Alabama 2,159.7 853.9 404.0 638.5 329.9 106.5 185.0 0.1 -358.2 393.7 270.2 1,001.1 494.7 Alaska 779.1 14.1 411.8 334.8 0.0 15.0 3.3 0.1 0.0 56.4 63.4 393.4 266.0 Arizona 1,436.6 425.4 354.9 562.8 293.1 69.9 8.7 3.6 -281.7 368.5 326.0 231.2 511.0 Arkansas 1,135.9 270.2 228.9 388.3 161.1 36.5 76.0 0.6 -25.7 218.3 154.7 473.9 288.9 California 8,364.6 68.9 2,474.2 3,787.8 315.6 342.2

190

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9) 9) June 2011 State Energy Consumption Estimates 1960 Through 2009 2009 Consumption Summary Tables Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity/ Losses f Net Electricity Imports Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,906.8 631.0 473.9 583.9 1,688.8 415.4 272.9 -470.3 0.0 383.2 266.0 788.5 469.2 Alaska 630.4 14.5 344.0 255.7 614.1 0.0 16.3 0.0 (s) 53.4 61.0 325.4 190.6 Arizona 1,454.3 413.3 376.7 520.8 1,310.8 320.7 103.5 -279.9 -0.8 400.8 352.1 207.8 493.6 Arkansas 1,054.8 264.1 248.1 343.1 855.3 158.7 126.5 -85.7 0.0 226.3 167.0 372.5

191

Impact of ECCO Ocean-State Estimates on the Initialization of Seasonal Climate Forecasts  

Science Conference Proceedings (OSTI)

The impact of ocean-state estimates generated by the consortium for Estimating the Circulation and Climate of the Ocean (ECCO) on the initialization of a coupled general circulation model (CGCM) for seasonal climate forecasts is examined. The ...

Gabriel Cazes-Boezio; Dimitris Menemenlis; Carlos R. Mechoso

2008-05-01T23:59:59.000Z

192

CBECS Buildings Characteristics --Revised Tables  

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

Geographic Location Tables 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 of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

193

Methane Emissions from Natural Wetlands in the United States: Satellite-Derived Estimation Based on Ecosystem Carbon Cycling  

Science Conference Proceedings (OSTI)

Wetlands are an important natural source of methane to the atmosphere. The amounts of methane emitted from inundated ecosystems in the United States can vary greatly from area to area. Seasonal temperature, water table dynamics, and carbon ...

Christopher Potter; Steven Klooster; Seth Hiatt; Matthew Fladeland; Vanessa Genovese; Peggy Gross

2006-12-01T23:59:59.000Z

194

Sensitivity analysis, ocean state estimation and diagnostics in the California current  

E-Print Network (OSTI)

4.3 Physical Ocean Model Simulations . . . . . . . . . . .3 xv the California Estimating ocean states for Aprilusing the Regional Ocean Modeling System (ROMS) data

Song, Hajoon

2011-01-01T23:59:59.000Z

195

Derived Annual Estimates - Table 4.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

196

Derived Annual Estimates - Table 7.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

197

Derived Annual Estimates - Table 5.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

198

Derived Annual Estimates - Table 9.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

199

Derived Annual Estimates - Table 2.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

200

Derived Annual Estimates - Table 3.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Derived Annual Estimates - Table 6.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

202

Derived Annual Estimates - Table 1.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

203

Derived Annual Estimates - Table 8.  

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

Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures...

204

Integrity-directed sequential state estimation: Assessing high reliability requirements via safe confidence intervals  

Science Conference Proceedings (OSTI)

This study deals with the problem of dynamic state estimation of continuous-time systems from discrete-time measurements in the context of high-integrity applications. The objective of integrity-directed estimation is to provide confidence intervals ... Keywords: Bayesian framework, Dynamic estimation, Dynamic multiple-model estimator, Fault detection, Gaussian mixture, Integrity, Kalman filter, Kullback-Leibler distance, Markov chains, Odometry, Overbounding, Rail navigation, Robust estimation, Safe navigation systems

Olivier Bilenne

2007-01-01T23:59:59.000Z

205

State of the art in photon density estimation  

Science Conference Proceedings (OSTI)

Photon-density estimation techniques are a popular choice for simulating light transport in scenes with complicated geometry and materials. This class of algorithms can be used to accurately simulate inter-reflections, caustics, color bleeding, scattering ...

Toshiya Hachisuka; Wojciech Jarosz; Guillaume Bouchard; Per Christensen; Jeppe Revall Frisvad; Wenzel Jakob; Henrik Wann Jensen; Michael Kaschalk; Claude Knaus; Andrew Selle; Ben Spencer

2012-08-01T23:59:59.000Z

206

Conversion Tables  

NLE Websites -- All DOE Office Websites (Extended Search)

Carbon Dioxide Information Analysis Center - Conversion Tables Carbon Dioxide Information Analysis Center - Conversion Tables Contents taken from Glossary: Carbon Dioxide and Climate, 1990. ORNL/CDIAC-39, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee. Third Edition. Edited by: Fred O'Hara Jr. 1 - International System of Units (SI) Prefixes 2 - Useful Quantities in CO2 3 - Common Conversion Factors 4 - Common Energy Unit Conversion Factors 5 - Geologic Time Scales 6 - Factors and Units for Calculating Annual CO2 Emissions Using Global Fuel Production Data Table 1. International System of Units (SI) Prefixes Prefix SI Symbol Multiplication Factor exa E 1018 peta P 1015 tera T 1012 giga G 109 mega M 106 kilo k 103 hecto h 102 deka da 10 deci d 10-1 centi c 10-2

207

VEHICLE STATE ESTIMATION USING VISION AND INERTIAL MEASUREMENTS  

E-Print Network (OSTI)

Department of Mechanical and Nuclear Engineering, Pennsylvania State University, University Park, PA Abstract of the cities, for ex- ample see the works of

Brennan, Sean

208

Estimating building consumption breakdowns using ON/OFF state sensing and incremental sub-meter deployment  

Science Conference Proceedings (OSTI)

This paper considers the problem of estimating the power breakdowns for the main appliances inside a building using a small number of power meters and the knowledge of the ON/OFF states of individual appliances. First we solve the breakdown estimation ... Keywords: electric load estimation, electricity consumption monitoring, energy breakdowns

Deokwoo Jung; Andreas Savvides

2010-11-01T23:59:59.000Z

209

Electrochemistry theorem based state-of-charge estimation of the lead acid batteries for electric vehicles  

Science Conference Proceedings (OSTI)

A method for the estimation of the state-of-charge in lead-acid batteries for electric vehicles is investigated. The electrochemistry theorem is introduced to measure the resistance effect of the electrode reaction and to estimate the internal energy ... Keywords: digital signal processor, electric vehicles, electrode reaction, electrolyte specific gravity, lead-acid battery, state-of-charge

Ying-Shing Shiao; Ding-Tsair Su; Jui-Liang Yang; Rong-Wen Hung

2008-10-01T23:59:59.000Z

210

Communication Capacity Requirement for Reliable and Secure State Estimation in Smart Grid  

E-Print Network (OSTI)

1 Communication Capacity Requirement for Reliable and Secure State Estimation in Smart Grid Husheng, Cookeville, TN Abstract-- Secure system state estimation is an important issue in smart grid to assure the information the- oretic perspective. The smart grid is modeled as a linear dynamic system. Then, the channel

Qiu, Robert Caiming

211

State Estimation Using a Reduced-Order Kalman Filter  

Science Conference Proceedings (OSTI)

Minimizing forecast error requires accurately specifying the initial state from which the forecast is made by optimally using available observing resources to obtain the most accurate possible analysis. The Kalman filter accomplishes this for a ...

Brian F. Farrell; Petros J. Ioannou

2001-12-01T23:59:59.000Z

212

Operational Soil Moisture Estimation for the Midwestern United States  

Science Conference Proceedings (OSTI)

An operational soil moisture monitoring capability for the midwestern United States is developed using a multilayer soil water balance model which incorporates daily weather data to calculate precipitation, soil evaporation, plant transpiration, ...

Kenneth E. Kunkel

1990-11-01T23:59:59.000Z

213

EIA Crude Oil Distillation Capacity (Table 36)  

U.S. Energy Information Administration (EIA)

(Important Note on Sources of Crude Oil Distillation Capacity Estimates) Table 3.6 World Crude Oil Distillation Capacity, January 1, 1970 - January 1, 2009

214

CBECS Buildings Characteristics --Revised Tables  

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

Conservation Tables 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 commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

215

CBECS Buildings Characteristics --Revised Tables  

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

Structure Tables 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 buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings and 58.8 billion square feet of commercial floorspace in the U.S. The 1995 data are available for the four Census

216

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

SciTech Connect

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.

Tom McDermott

2010-05-07T23:59:59.000Z

217

State Energy Production Data  

Gasoline and Diesel Fuel Update (EIA)

State Energy Data System State Energy Data System Production Estimates Technical Notes For 1960-2011 Estimates Table of Contents Section 1. Introduction ................................................................................................................... 1 Section 2. Coal ............................................................................................................................... 5 Section 3. Crude Oil ....................................................................................................................... 7 Section 4. Natural Gas (Marketed Production) .............................................................................. 9 Section 5. Renewable Energy and Nuclear Energy ..................................................................... 13

218

Distributing Power Grid State Estimation on HPC Clusters A System Architecture Prototype  

Science Conference Proceedings (OSTI)

The future power grid is expected to further expand with highly distributed energy sources and smart loads. The increased size and complexity lead to increased burden on existing computational resources in energy control centers. Thus the need to perform real-time assessment on such systems entails efficient means to distribute centralized functions such as state estimation in the power system. In this paper, we present our early prototype of a system architecture that connects distributed state estimators individually running parallel programs to solve non-linear estimation procedure. The prototype consists of a middleware and data processing toolkits that allows data exchange in the distributed state estimation. We build a test case based on the IEEE 118 bus system and partition the state estimation of the whole system model to available HPC clusters. The measurement from the testbed demonstrates the low overhead of our solution.

Liu, Yan; Jiang, Wei; Jin, Shuangshuang; Rice, Mark J.; Chen, Yousu

2012-08-20T23:59:59.000Z

219

CBECS 1992 - Building Characteristics, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Percent of Buildings and Floorspace by Census Region, 1992 Percent of Buildings and Floorspace by Census Region, 1992 The following 70 tables present extensive cross-tabulations of commercial buildings characteristics. These data are from the Buildings Characteristics Survey portion of the 1992 CBECS. The "Quick-Reference Guide," indicates the 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 and Column Factor." The Glossary contains the definitions of the terms used in the tables. See the preceding "At A Glance" section for highlights of the detailed tables. Table Organization

220

State energy data report: Consumption estimates, 1960--1990. [Contains glossary  

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides estimates of energy consumption by major end-use sectors developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). SEDS is a database for estimating the consumption of energy by end-use sectors (residential, commercial, industrial, and transportation) and electric utilities annually by state. The goal in maintaining SEDS is to produce historical data series of estimated end-use consumption by state, 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.

Not Available

1992-05-15T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II  

NLE Websites -- All DOE Office Websites (Extended Search)

i i ii TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II EXECUTIVE SUMMARY ........................................................................................................................................... 3 INTRODUCTION......................................................................................................................................................... 4 COMPLIANCE SUMMARY ....................................................................................................................................... 6 COMPREHENSIVE ENVIRONMENTAL RESPONSE, COMPENSATION, AND LIABILITY ACT (CERCLA) .................... 6

222

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2006 Alabama .................................. 287,278 14,736 21,065 54,529 Alaska...................................... 2,665,742 20,993 24,638 93,346 Arkansas.................................. 13,702 166 212 734 California ................................. 223,580 11,267 14,056 46,641 Colorado .................................. 751,036 26,111 36,317 97,697 Florida...................................... 3,972 357 485 1,416 Illinois....................................... 242 37 47 128 Kansas..................................... 453,111 21,509 30,726 83,137 Kentucky.................................. 39,559 1,666 2,252 6,763 Louisiana ................................. 2,511,802 73,551 105,236

223

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2010 Alabama .................................. 242,444 13,065 19,059 47,741 Alaska...................................... 2,731,803 17,798 20,835 79,355 Arkansas.................................. 9,599 160 213 692 California ................................. 204,327 10,400 13,244 42,509 Colorado .................................. 1,434,003 57,924 82,637 209,191 Kansas..................................... 341,778 18,424 26,251 70,425 Kentucky.................................. 66,579 3,317 4,576 13,311 Louisiana ................................. 2,207,760 71,231 102,448 262,178 Michigan .................................. 23,449 2,207 2,943 8,272 Mississippi ...............................

224

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2005 Alabama .................................. 255,157 9,748 13,759 37,048 Alaska...................................... 3,089,229 23,700 27,956 105,449 Arkansas.................................. 16,756 177 231 786 California ................................. 226,230 11,101 13,748 45,926 Colorado .................................. 730,948 25,603 34,782 95,881 Florida...................................... 3,584 359 495 1,400 Illinois....................................... 280 37 46 129 Kansas..................................... 476,656 22,165 31,521 85,737 Kentucky.................................. 38,792 1,411 1,716 5,725 Louisiana ................................. 2,527,636 73,035 103,381

225

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2009 Alabama .................................. 248,232 11,667 17,232 42,984 Alaska...................................... 2,830,034 19,542 22,925 86,767 Arkansas.................................. 2,352 125 168 541 California ................................. 198,213 11,042 13,722 45,669 Colorado .................................. 1,233,260 47,705 67,607 174,337 Illinois....................................... 164 24 31 84 Kansas..................................... 370,670 18,863 26,948 72,922 Kentucky.................................. 60,167 2,469 3,270 9,982 Louisiana ................................. 2,175,026 67,067 95,359 250,586 Michigan .................................. 23,819 2,409

226

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2007 Alabama .................................. 257,443 13,381 19,831 48,922 Alaska...................................... 2,965,956 22,419 26,332 99,472 Arkansas.................................. 11,532 126 162 552 California ................................. 206,239 11,388 13,521 47,045 Colorado .................................. 888,705 27,447 38,180 102,563 Florida...................................... 2,422 103 132 423 Illinois....................................... 235 38 48 131 Kansas..................................... 391,022 19,600 28,063 74,941 Kentucky.................................. 38,158 1,455 1,957 5,917 Louisiana ................................. 2,857,443 77,905 110,745

227

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 7. Natural Gas Processed, Liquids Extracted, and Estimated Extraction Loss by State, 2008 Alabama .................................. 253,028 11,753 17,222 43,191 Alaska...................................... 2,901,760 20,779 24,337 92,305 Arkansas.................................. 6,531 103 139 446 California ................................. 195,272 11,179 13,972 46,176 Colorado .................................. 1,029,641 37,804 53,590 139,332 Florida...................................... 300 16 22 65 Illinois....................................... 233 33 42 115 Kansas..................................... 397,587 19,856 28,302 76,021 Kentucky.................................. 58,899 1,783 2,401 7,233 Louisiana ................................. 2,208,920 66,369 94,785 245,631

228

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2007 (Million Cubic Feet) Alabama ... 270,407 19,831 77,311 90,589 0 -69 0 418,545...

229

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2009 (Million Cubic Feet) Alabama ... 236,029 17,232 -25,416 258,787 0 -2,099 0 454,268...

230

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2006 (Million Cubic Feet) Alabama ... 286,220 21,065 37,079 97,347 0 8,484 0 391,098...

231

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2005 (Million Cubic Feet) Alabama ... 296,528 13,759 131,734 -60,062 0 103 0 354,339...

232

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2008 (Million Cubic Feet) Alabama ... 257,884 17,222 1,335 166,539 0 4,379 0 404,157...

233

Microsoft Word - table_22.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 22. Average City Gate Price of Natural Gas in the United States, 2001-2005 (Dollars per Thousand Cubic Feet) Alabama ... 6.63 4.74 6.06 6.65...

234

Microsoft Word - table_22.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 22. Average Citygate Price of Natural Gas in the United States, 2005-2009 (Dollars per Thousand Cubic Feet) Alabama ... 8.47 10.26 8.78 9.84...

235

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2009 Alabama ... 0.8 0.8 2.1 0.3 3.3 Alaska... 0.4...

236

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2005 Alabama ... 0.87 0.86 2.24 0.52 1.79 Alaska......

237

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2006 Alabama ... 0.87 0.86 2.31 0.67 2.34 Alaska......

238

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2008 Alabama ... 0.78 0.80 2.14 0.36 2.46 Alaska......

239

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2007 Alabama ... 0.75 0.78 2.27 0.47 2.57 Alaska......

240

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

7) 7) August 2009 State Energy Price and Expenditure Estimates 1970 Through 2007 2007 Price and Expenditure Summary Tables Table S1a. Energy Price Estimates by Source, 2007 (Nominal Dollars per Million Btu) State Primary Energy Electric Power Sector e,f Retail Electricity Total Energy e,g Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total e,f,g Distillate Fuel Oil Jet Fuel LPG b Motor Gasoline Residual Fuel Oil Other c Total Wood and Waste d Alabama 2.17 9.06 19.43 16.20 21.84 21.26 8.46 14.19 19.62 0.42 2.71 7.47 2.29 22.46 16.01 Alaska 2.34 5.76 19.43 16.35 28.63 22.14 11.51 23.69 17.97 - 10.51 14.88 4.94 38.96 17.87 Arizona 1.61 8.44 19.84 16.24 27.16 21.95 10.04 11.27 20.50 0.57 10.86 9.61 2.78 25.02 20.72 Arkansas 1.65 9.33 19.63 15.73 21.10 21.54 8.65 18.76 20.42 0.57 2.66 9.45 1.98 20.57

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

4) 4) June 2007 State Energy Price and Expenditure Estimates 1970 Through 2004 2004 Price and Expenditure Summary Tables Table S1a. Energy Price Estimates by Source, 2004 (Nominal Dollars per Million Btu) State Primary Energy Electric Power Sector d,e Retail Electricity Total Energy d,f Coal Natural Gas Petroleum Nuclear Fuel Biomass c Total d,e,f Distillate Fuel Jet Fuel LPG a Motor Gasoline Residual Fuel Other b Total Alabama 1.57 7.72 11.91 8.82 15.78 13.68 4.78 8.25 12.28 0.43 1.81 5.32 1.68 18.01 11.29 Alaska 1.91 3.59 12.43 9.61 19.64 15.55 3.63 12.09 11.05 - 6.68 9.07 3.18 32.29 11.09 Arizona 1.31 6.84 13.59 9.53 18.40 15.33 5.29 7.23 13.92 0.45 5.90 6.68 2.18 21.83 15.24 Arkansas 1.25 8.09 12.01 8.30 14.80 13.97 4.67 11.02 12.77 0.49 1.79 6.59 1.43 16.76 11.89 California 1.82 7.63 13.58

242

Measurement calibration/tuning & topology processing in power system state estimation  

E-Print Network (OSTI)

State estimation plays an important role in modern power systems. The errors in the telemetered measurements and the connectivity information of the network will greatly contaminate the estimated system state. This dissertation provides solutions to suppress the influences of these errors. A two-stage state estimation algorithm has been utilized in topology error identification in the past decade. Chapter II discusses the implementation of this algorithm. A concise substation model is defined for this purpose. A friendly user interface that incorporates the two-stage algorithm into the conventional state estimator is developed. The performances of the two-stage state estimation algorithms rely on accurate determination of suspect substations. A comprehensive identification procedure is described in chapter III. In order to evaluate the proposed procedure, a topology error library is created. Several identification methods are comparatively tested using this library. A remote measurement calibration method is presented in chapter IV. The un-calibrated quantities can be related to the true values by the characteristic functions. The conventional state estimation algorithm is modified to include the parameters of these functions. Hence they can be estimated along with the system state variables and used to calibrate the measurements. The measurements taken at different time instants are utilized to minimize the influence of the random errors. A method for auto tuning of measurement weights in state estimation is described in chapter V. Two alternative ways to estimate the measurement random error variances are discussed. They are both tested on simulation data generated based on IEEE systems. Their performances are compared. A comprehensive solution, which contains an initialization process and a recursively updating process, is presented. Chapter VI investigates the errors introduced in the positive sequence state estimation due to the usual assumptions of having fully balanced bus loads/generations and continuously transposed transmission lines. Several tests are conducted using different assumptions regarding the availability of single and multi-phase measurements. It is demonstrated that incomplete metering of three-phase system quantities may lead to significant errors in the positive sequence state estimates for certain cases. A novel sequence domain three-phase state estimation algorithm is proposed to solve this problem.

Zhong, Shan

2003-12-01T23:59:59.000Z

243

Heisenberg-limited estimation of losses with non-Gaussian states  

E-Print Network (OSTI)

We address the estimation of the loss parameter of a bosonic channel probed by arbitrary signals. Unlike the optimal Gaussian probes, which can attain the ultimate bound on precision asymptotically either for very small or very large losses, we prove that Fock states at any fixed photon number saturate the bound unconditionally for any value of the loss. Photon counting is thus sufficient to obtain minimum-error estimation. In the relevant regime of low-energy probes, we demonstrate that physically realizable superpositions of the first low-lying Fock states yield an absolute improvement over any Gaussian probe. Such few-photon states can be recast quite generally as truncations of de-Gaussified photon subtracted states. Besides proving that truly optimal estimation of bosonic loss requires non-Gaussian signals for any energy of the probe signal, our results allow for a tangible technological simplification in implementing the optimal estimation strategy, compared to the quite demanding one required for Gauss...

Adesso, G; De Siena, S; Illuminati, F; Souza, L A M

2008-01-01T23:59:59.000Z

244

Efficient Hydraulic State Estimation Technique Using Reduced Models of Urban Water Networks  

E-Print Network (OSTI)

This paper describes and demonstrates an efficient method for online hydraulic state estimation in urban water networks. The proposed method employs an online predictor-corrector (PC) procedure for forecasting future water ...

Preis, Ami

245

Climatological Estimates of Daily Local Nontornadic Severe Thunderstorm Probability for the United States  

Science Conference Proceedings (OSTI)

The probability of nontornadic severe weather event reports near any location in the United States for any day of the year has been estimated. Gaussian smoothers in space and time have been applied to the observed record of severe thunderstorm ...

Charles A. Doswell III; Harold E. Brooks; Michael P. Kay

2005-08-01T23:59:59.000Z

246

Evaluation of GSMaP Precipitation Estimates over the Contiguous United States  

Science Conference Proceedings (OSTI)

Precipitation estimates from the Global Satellite Mapping of Precipitation (GSMaP) project are evaluated over the contiguous United States (CONUS) for the period of 2005–06. GSMaP combines precipitation retrievals from the Tropical Rainfall ...

Yudong Tian; Christa D. Peters-Lidard; Robert F. Adler; Takuji Kubota; Tomoo Ushio

2010-04-01T23:59:59.000Z

247

Improving Nonparametric Estimates of the Sea State Bias in Radar Altimeter Measurements of Sea Level  

Science Conference Proceedings (OSTI)

A fully nonparametric (NP) version of the sea state bias (SSB) estimation problem in radar altimetry was first presented and solved by Gaspar and Florens (GF) using the statistical technique of kernel smoothing. This solution requires solving a ...

Philippe Gaspar; Sylvie Labroue; Françoise Ogor; Guillaume Lafitte; Laurence Marchal; Magali Rafanel

2002-10-01T23:59:59.000Z

248

Table 25  

Gasoline and Diesel Fuel Update (EIA)

89 89 Table 25 Created on: 1/3/2014 3:10:33 PM Table 25. Natural gas home customer-weighted heating degree days, New England Middle Atlantic East North Central West North Central South Atlantic Month/Year/Type of data CT, ME, MA, NH, RI, VT NJ, NY, PA IL, IN, MI, OH, WI IA, KS, MN, MO, ND, NE, SD DE, FL, GA, MD, DC, NC, SC, VA, WV November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0 November to November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0

249

Theory of binless multi-state free energy estimation with applications to protein-ligand binding  

E-Print Network (OSTI)

Theory of binless multi-state free energy estimation with applications to protein-ligand binding Method (WHAM) is routinely used for com- puting free energies and expectations from multiple ensembles method, like WHAM, can be used not only to estimate free energies and equilibrium expectations, but also

250

N. Logic, E. Kyriakides, G. T. Heydt, "Lp State Estimators for Power Systems," N. Logic, E. Kyriakides, G. T. Heydt, "Lp state estimators for power systems," Journal of Electric Power  

E-Print Network (OSTI)

. Kyriakides, G. T. Heydt, "Lp state estimators for power systems," Journal of Electric Power Components] introduced it three decades ago, state estimation for the real-time modeling of the electric power system has, and non-WLS (Weighted Least Squares) approaches. State estimation is the process of usage of input data

251

Notices TABLE  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7 Federal Register 7 Federal Register / Vol. 76, No. 160 / Thursday, August 18, 2011 / Notices TABLE 2-NET BURDEN CHANGE-Continued 2011-2012 2012-2013 Change % Change Burden disposition Total Applicants .................................... 23,611,500 24,705,864 +1,094,364 +4.63 Net decrease in burden. The increase in applicants is offset by the results of the Department's simplification changes. This has created an over- all decrease in burden of 8.94% or 2,881,475 hours. Total Applicant Burden ......................... 32,239,328 29,357,853 ¥2,881,475 ¥8.94 Total Annual Responses ....................... 32,239,328 46,447,024 +14,207,696 +44.07 Cost for All Applicants .......................... $159,370.20 $234,804.24 $75,434.04 +47.33 The Department is proud that efforts to simplify the FAFSA submission

252

Table 4  

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

4. Mean Annual Electricity Expenditures for Lighting, by Number of 4. Mean Annual Electricity Expenditures for Lighting, by Number of Household Members by Number of Rooms, 1993 (Dollars) Number of Rooms Number of Household Members All Households One to Three Four Five Six Seven Eight or More RSE Column Factors: 0.5 1.8 1.1 0.9 0.9 1.0 1.2 RSE Row Factors All Households................................... 83 49 63 76 87 104 124 2.34 One..................................................... 55 44 51 54 69 78 87 5.33 Two..................................................... 80 56 63 77 82 96 107 3.38 Three.................................................. 92 60 73 82 95 97 131 4.75 Four.................................................... 106 64 78 93 96 124 134 4.53 Five or More....................................... 112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the

253

1992 CBECS Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Detailed Tables Detailed Tables To download all 1992 detailed tables: Download Acrobat Reader for viewing PDF files. Yellow Arrow Buildings Characteristics Tables (PDF format) (70 tables, 230 pages, file size 1.39 MB) Yellow Arrow Energy Consumption and Expenditures Tables (PDF format) (47 tables, 208 pages, file size 1.28 MB) Yellow Arrow Energy End-Use Tables (PDF format) (6 tables, 6 pages, file size 31.7 KB) Detailed tables for other years: Yellow Arrow 1999 CBECS Yellow Arrow 1995 CBECS Background information on detailed tables: Yellow Arrow Description of Detailed Tables and Categories of Data Yellow Arrow Statistical Significance of Data 1992 Commercial Buildings Energy Consumption Survey (CBECS) Detailed Tables Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables:

254

"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" 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 England",5.5,"N","N","N","N" "Middle Atlantic",15.1,7.1,"N","N","N" "Midwest",25.6,"N","N","N","N" "East North Central",17.7,"N","N","N","N"

255

The tradeoff between energy efficiency and user state estimation accuracy in mobile sensing  

E-Print Network (OSTI)

Abstract. People-centric sensing and user state recognition can provide rich contextual information for various mobile applications and services. However, continuously capturing this contextual information on mobile devices drains device battery very quickly. In this paper, we study the tradeoff between device energy consumption and user state recognition accuracy from a novel perspective. We assume the user state evolves as a hidden discrete time Markov chain (DTMC) and an embedded sensor on mobile device discovers user state by performing a sensing observation. We investigate a stationary deterministic sensor sampling policy which assigns different sensor duty cycles based on different user states, and propose two state estimation mechanisms providing the best “guess ” of user state sequence when observations are missing. We analyze the effect of varying sensor duty cycles on (a) device energy consumption and (b) user state estimation error, and visualize the tradeoff between the two numerically for a two-state setting. Key words: mobile sensing, energy efficiency, user state estimation accuracy, tradeoff 1

Yi Wang; Bhaskar Krishnamachari; Qing Zhao; Murali Annavaram

2009-01-01T23:59:59.000Z

256

State and parameter estimation using Monte Carlo evaluation of path integrals  

E-Print Network (OSTI)

Transferring information from observations of a dynamical system to estimate the fixed parameters and unobserved states of a system model can be formulated as the evaluation of a discrete time path integral in model state space. The observations serve as a guiding potential working with the dynamical rules of the model to direct system orbits in state space. The path integral representation permits direct numerical evaluation of the conditional mean path through the state space as well as conditional moments about this mean. Using a Monte Carlo method for selecting paths through state space we show how these moments can be evaluated and demonstrate in an interesting model system the explicit influence of the role of transfer of information from the observations. We address the question of how many observations are required to estimate the unobserved state variables, and we examine the assumptions of Gaussianity of the underlying conditional probability.

John C. Quinn; Henry D. I. Abarbanel

2009-12-08T23:59:59.000Z

257

Certification and Training Requirements Table of Contents  

E-Print Network (OSTI)

Table of Exhibits..................................................................................................... iii

unknown authors

2008-01-01T23:59:59.000Z

258

chapter 5. Detailed Tables  

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

5. Detailed Tables 5. Detailed Tables Chapter 5. Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1994 Residential Transportation Energy Consumption Survey. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle-miles traveled (VMT) or gallons consumed; (2) tables of per household statistics such as VMT per household; and (3) tables of per-vehicle statistics, such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model-year data or family-income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table.

259

"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" 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 "Use Cooling Equipment",91.4,5.3,7,7.7,6.6 "Have Equipment But Do Not Use it",1.9,"Q","N","Q",0.6 "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,1.1,6.4,6.4,5.4

260

"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" 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 A Day",24.6,1.4,1.5,2,3.1 "Once a Day",42.3,2.4,3,2.7,4.1 "A Few Times Each Week",27.2,2.1,1.7,1.7,2.5 "About Once a Week",3.9,0.3,"Q",0.4,0.6 "Less Than Once a Week",4.1,"Q","Q",0.3,0.4

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

"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" 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 Computer",75.6,4.2,5,5.3,9 "Number of Desktop PCs" "1.",50.3,3.1,3.4,3.4,5.4 "2.",16.2,0.7,1.1,1.2,2.2 "3 or More",9,0.3,0.5,0.7,1.4 "Number of Laptop PCs" "1.",22.5,1.2,1.4,1.8,3 "2.",4,"Q","Q",0.3,0.6

262

"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" 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 "Use Cooling Equipment",91.4,5.3,7,7.7,6.6 "Have Equipment But Do Not Use it",1.9,"Q","N","Q",0.6 "Air-Conditioning Equipment1, 2 " "Central System",65.9,1.1,6.4,6.4,5.4

263

"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" 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 Equipment",109.8,7.1,6.8,7.9,11.9 "Use Main Space Heating Equipment",109.1,7.1,6.6,7.9,11.4 "Have Equipment But Do Not Use It",0.8,"N","Q","N",0.5 "Main Heating Fuel and Equipment" "Natural Gas",58.2,3.8,0.4,3.8,8.4

264

"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" 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 Equipment",109.8,7.1,6.8,7.9,11.9 "Use Space Heating Equipment",109.1,7.1,6.6,7.9,11.4 "Have But Do Not Use Equipment",0.8,"N","Q","N",0.5 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

265

"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" 9 Home Appliances Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Home Appliances Characteristics",,"New York","Florida","Texas","California" "Total U.S.",111.1,7.1,7,8,12.1 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,7.1,6.9,7.8,11.7 "1.",103.3,6.5,6.6,7.4,11.2 "2 or More",6.2,0.6,"Q",0.4,0.5 "Do Not Use an Oven",1.5,"Q","Q","Q",0.4 "Most-Used Oven Fuel" "Electric",67.9,2.3,6.5,4.9,4.9 "Natural Gas",36.4,4.2,"Q",2.6,6.6

266

"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" 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 Not Use Hot Water",1.1,0.5,"N","Q","N" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,4.3,6.8,7.4,10.6 "Two or More Housing Units",10.3,2.3,"Q",0.5,1.5

267

MECS 1991 Publications and Tables  

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

Publication and Tables Publication and Tables Publication and Tables Figure showing the Largest Energy Consumers in the Manufacturing Sector You have the option of downloading the entire report or selected sections of the report. Full Report - Manufacturing Consumption of Energy 1991 (file size 17.2 MB) pages:566 Selected Sections Main Text (file size 380,153 bytes) pages: 33, includes the following: Contacts Contents Executive Summary Introduction Energy Consumption in the Manufacturing Sector: An Overview Energy Consumption in the Manufacturing Sector, 1991 Manufacturing 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. Quality of the Data (file size 135,511 bytes) pages: 8.

268

Optimal state estimation for improved power measurements and model verification: Theory  

Science Conference Proceedings (OSTI)

To improve energy efficiency in computer systems and data centers, accurate models of the power consumption are needed for analysis and advanced control algorithms. Developing models requires deep understanding not only of the components themselves but ... Keywords: system level model analysis, energy efficiency, optimal state estimation, improved power measurement, computer systems, data centers, power consumption, mathematical methods, sensor fusion, data center powering structure, cooling system, parameter identifying estimator, model parameter

T. Malkamaki; S. J. Ovaska

2011-07-01T23:59:59.000Z

269

"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" 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 Day",91.8,5.5,5.5,6.7,9.5 "1.",28.6,1.8,2,2.3,2.8 "2.",29.5,2.3,1.9,2,3.4 "3.",14.7,0.7,0.8,0.9,1.4 "4.",9.3,0.4,"Q",0.8,1.1 "5 or More",9.7,0.4,0.4,0.8,0.9 "Energy-Efficient Bulbs Used",31.1,1.7,1.7,2.1,4.7

270

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2004 Appendix tables A2 and A3,...

271

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

are in spreadsheet format. A total of one hundred and nine tables is presented. The data for tables 10 and 20 match those published in AEO2003 Appendix tables A2 and A3,...

272

Meson Summary Table See  

NLE Websites -- All DOE Office Websites (Extended Search)

Meson Summary Table See also the table of suggested qq quark-model assignments in the Quark Model section. * Indicates particles that appear in the preceding Meson Summary Table....

273

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Economy Table 57. New Light-Duty Vehicle Prices Table 58. New Light-Duty Vehicle Range Table 59. Electric Power Projections for EMM Region 01- East Central Area...

274

Optimal estimation of losses at the ultimate quantum limit with non-Gaussian states  

E-Print Network (OSTI)

We address the estimation of the loss parameter of a bosonic channel probed by arbitrary signals. Unlike the optimal Gaussian probes, which can attain the ultimate bound on precision asymptotically either for very small or very large losses, we prove that Fock states at any fixed photon number saturate the bound unconditionally for any value of the loss. In the relevant regime of low-energy probes, we demonstrate that superpositions of the first low-lying Fock states yield an absolute improvement over any Gaussian probe. Such few-photon states can be recast quite generally as truncations of de-Gaussified photon-subtracted states.

G. Adesso; F. Dell'Anno; S. De Siena; F. Illuminati; L. A. M. Souza

2008-07-24T23:59:59.000Z

275

Improved measurement placement and topology processing in power system state estimation  

E-Print Network (OSTI)

State estimation plays an important role in modern power system energy management systems. The network observability is a pre-requisite for the state estimation solution. Topological error in the network may cause the state estimation results to be seriously biased. This dissertation studies new schemes to improve the conventional state estimation in the above aspects. A new algorithm for cost minimization in the measurement placement design is proposed in this dissertation. The new algorithm reduces the cost of measurement installation and retains the network observability. Two levels of measurement place- ment designs are obtained: the basic level design guarantees the whole network to be observable using only the voltage magnitude measurement and the branch power flow measurements. The advanced level design keeps the network observable under certain contingencies. To preserve as many substation measurements as possible and maintain the net-work observability, an advanced network topology processor is introduced. A new method - the dynamic utilization of substation measurements (DUSM) - is presented. Instead of seeking the installation of new measurements in the system, this method dynamically calculates state estimation measurement values by applying the current law that regulates different measurement values implicitly. Its processing is at the substation level and, therefore, can be implemented independently in substations. This dissertation also presents a new way to verify circuit breaker status and identify topological errors. The new method improves topological error detection using the method of DUSM. It can be seen that without modifying the state estimator, the status of a circuit breaker may still be verified even without direct power flow measurements. Inferred measurements, calculated by DUSM, are used to help decide the CB status. To reduce future software code maintenance and to provide standard data ex- changes, the newly developed functions were developed in Java, with XML format input/output support. The effectiveness and applicability of these functions are ver-ified by various test cases.

Wu, Yang

2007-08-01T23:59:59.000Z

276

1995 Detailed Tables  

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

Households, Buildings & Industry > Commercial Buildings Energy Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Summary Table—All Principal Buildings Activities (HTML Format) Background information on detailed tables: Description of Detailed Tables and Categories of Data Statistical Significance of Data

277

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

278

Housing Characteristics Detailed Tables - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration. United States Department of Energy 1997 RESIDENTIAL ENERGY CONSUMPTION SURVEY HOUSING CHARACTERISTICS DETAILED DATA TABLES (FINAL)

279

Table 4. Average retail price for bundled and unbundled consumers ...  

U.S. Energy Information Administration (EIA)

Table 4. Average retail price for bundled and unbundled consumers by sector, Census Division, and State 2011

280

Extended state estimator design method for neutral-type neural networks with time-varying delays  

Science Conference Proceedings (OSTI)

The problem of designing a state estimator having a global exponential convergence for a class of delayed neural networks of neutral-type is investigated in this paper. The time-delay pattern is a bounded differentiable time-varying function. The activation ...

Magdi Sadek Mahmoud

2012-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

STATE ESTIMATION OF SOFC/GT HYBRID SYSTEM USING UKF Rambabu Kandepu*, 1  

E-Print Network (OSTI)

STATE ESTIMATION OF SOFC/GT HYBRID SYSTEM USING UKF Rambabu Kandepu*, 1 , Biao Huang** , Bjarne.Imsland@sintef.no Abstract: A description of a Solid Oxide Fuel Cell (SOFC) combined Gas Turbine (GT) hybrid system is given reliability. One of the most promising fuel cell technologies is the Solid Oxide Fuel Cell (SOFC), due to its

Foss, Bjarne A.

282

False data injection attacks against state estimation in electric power grids  

Science Conference Proceedings (OSTI)

A power grid is a complex system connecting electric power generators to consumers through power transmission and distribution networks across a large geographical area. System monitoring is necessary to ensure the reliable operation of power grids, ... Keywords: Power grids, attack, state estimation

Yao Liu; Peng Ning; Michael K. Reiter

2011-05-01T23:59:59.000Z

283

Table of Contents  

NLE Websites -- All DOE Office Websites (Extended Search)

NT0005638 NT0005638 Cruise Report 1-19 July 2009 HYFLUX Sea Truth Cruise Northern Gulf of Mexico Submitted by: Texas A&M University - Corpus Christi 6300 Ocean Dr. Corpus Christi, TX 78412 Principal Authors: Ian R. MacDonald and Thomas Naehr Prepared for: United States Department of Energy National Energy Technology Laboratory October 30, 2009 Office of Fossil Energy HYFLUX Seatruth Cruise Report -1- Texas A&M University - Corpus Christi Table of Contents Summary ............................................................................................................................. 2 Participating Organizations ................................................................................................. 3 Major Equipment ................................................................................................................ 4

284

Just enough tabling  

Science Conference Proceedings (OSTI)

We introduce just enough tabling (JET), a mechanism to suspend and resume the tabled execution of logic programs at an arbitrary point. In particular, JET allows pruning of tabled logic programs to be performed without resorting to any recomputation. ... Keywords: logic programming, pruning, suspension/resumption in the WAM, tabling

Konstantinos Sagonas; Peter J. Stuckey

2004-08-01T23:59:59.000Z

285

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

E-Print Network (OSTI)

Commercial and Industrial Customers Number of ObservationsCommercial and Industrial Customers Number of ObservationsTable 5-1. Residential Customers Number of Cases by Region,

Sullivan, M.J.

2009-01-01T23:59:59.000Z

286

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Errata - August 25, 2004 1 to117 - Complete set of of Supplemental Tables PDF Table 1. Energy Consumption by Source and Sector (New England) XLS PDF Table 2. Energy Consumption by Source and Sector (Middle Atlantic) XLS PDF Table 3. Energy Consumption by Source and Sector (East North Central) XLS PDF Table 4. Energy Consumption by Source and Sector (West North Central) XLS PDF Table 5. Energy Consumption by Source and Sector (South Atlantic) XLS PDF Table 6. Energy Consumption by Source and Sector (East South Central) XLS PDF Table 7. Energy Consumption by Source and Sector (West South Central) XLS PDF Table 8. Energy Consumption by Source and Sector (Mountain)

287

Directory of Operable Petroleum Refineries on Tables 38 and 39  

U.S. Energy Information Administration (EIA)

Directory of Operable Petroleum Refineries on Tables 38 and 39 Refiner State(s)aRefiner State(s)a.....Age Refining Inc ...

288

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

289

Estimating the ground state energy of the Schrödinger equation for convex potentials  

E-Print Network (OSTI)

In 2011, the fundamental gap conjecture for Schr\\"odinger operators was proven. This can be used to estimate the ground state energy of the time-independent Schr\\"odinger equation with a convex potential and relative error \\epsilon. Classical deterministic algorithms solving this problem have cost exponential in the number of its degrees of freedom d. We show a quantum algorithm, that is based on a perturbation method, for estimating the ground state energy with relative error \\epsilon. The cost of the algorithm is polynomial in d and \\epsilon^{-1}, while the number of qubits is polynomial in d and \\log\\epsilon^{-1}. In addition, we present an algorithm for preparing a quantum state that overlaps within 1-\\delta, \\delta \\in (0,1), with the ground state eigenvector of the discretized Hamiltonian. This algorithm also approximates the ground state with relative error \\epsilon. The cost of the algorithm is polynomial in d, \\epsilon^{-1} and \\delta^{-1}, while the number of qubits is polynomial in d, \\log\\epsilon^{-1} and \\log\\delta^{-1}.

Anargyros Papageorgiou; Iasonas Petras

2013-09-25T23:59:59.000Z

290

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 Table 6. Natural gas processed, liquids extracted, and estimated extraction loss by state, 2011 Alabama 230,546 12,265 17,271 43,636 Alaska 2,721,396 18,314 21,554 82,255 Arkansas 5,611 212 268 883 California 180,648 9,831 12,095 39,909 Colorado 1,507,467 63,075 90,801 223,858 Illinois 15,727 705 1,043 2,409 Kansas 322,944 18,098 25,804 67,845 Kentucky 60,941 3,398 4,684 13,377 Louisiana 2,048,175 66,426 95,630 239,349 Michigan 21,518 2,132 2,465 7,875 Mississippi 126,859 7,732 11,221 28,404 Montana 11,185 927 1,252 3,744 New Mexico 795,069 61,857 90,291 223,829 North Dakota 112,206 10,199 14,182 41,156 Oklahoma 1,218,855 91,963 134,032 328,694 Pennsylvania 131,959 6,721 8,931 26,896 Tennessee 6,200

291

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

State State Energy Data 2011: Consumption 11 Table C8. Transportation Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Retail Electricity Sales Net Energy Electrical System Energy Losses e Total Aviation Gasoline Distillate Fuel Oil Jet Fuel b LPG c Lubricants Motor Gasoline d Residual Fuel Oil Total Alabama ............. 0.0 23.5 0.4 124.4 13.4 0.3 2.3 316.3 6.7 463.7 0.0 487.2 0.0 487.2 Alaska ................. 0.0 3.5 0.8 44.4 118.2 (s) 0.4 32.9 0.4 197.2 0.0 200.7 0.0 200.7 Arizona ............... 0.0 15.6 1.0 111.3 21.5 0.8 1.6 318.2 0.0 454.5 0.0 470.1 0.0 470.1 Arkansas ............. 0.0 11.5 0.4 99.7 5.9 0.4 2.0 171.3 0.0 279.8 (s) 291.2 (s) 291.2 California ............ 0.0 25.7 1.9 440.9 549.7 3.8 13.3 1,770.1 186.9 2,966.5 2.8 2,995.1 5.5 3,000.5 Colorado ............. 0.0 14.7 0.6 83.2 58.3 0.3

292

TABLE OF CONTENTS  

National Nuclear Security Administration (NNSA)

AC05-00OR22800 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, 290, 284, 280, 270, 257, 239, 238, 219, M201, M180, M162, M153, M150, M141, M132, M103, M092, M080, M055, M051, M049, M034, M022, M003, A002) ..........................................................B-2 SECTION C - DESCRIPTION/SPECIFICATION/WORK STATEMENT DESCRIPTION OF

293

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, 2007- 2011 (dollars per thousand cubic feet) Alabama 8.78 9.84 7.61 6.46 5.80 Alaska 6.75 6.74 8.22 6.67...

294

Cost Development Guidelines Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii Table of Exhibits...................................................................................................... v Approval.................................................................................................................. vi

unknown authors

2011-01-01T23:59:59.000Z

295

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

December 22, 2000 (Next Release: December, 2001) Related Links Annual Energy Outlook 2001 Assumptions to the AEO2001 NEMS Conference Contacts Forecast Homepage EIA Homepage AEO Supplement Reference Case Forecast (1999-2020) (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central) Table 8. Energy Consumption by Source and Sector (Mountain)

296

Table of Contents  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary......

297

FY 2005 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

298

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 37. Refrigeration Equipment, Number of Buildings and Floorspace, 1995 Table 38. Water-Heating Equipment, Number of Buildings and Floorspace, 1995 Table 39. Lighting...

299

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 25. Cooling Energy Sources, Number of Buildings and Floorspace, 1995 Table 26. Water-Heating Energy Sources, Number of Buildings, 1995 Table 27. Water-Heating Energy...

300

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

0 0 State Energy Data 2011: Consumption Table C7. Industrial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power e Biomass Geo- thermal Retail Electricity Sales Net Energy h,i Electrical System Energy Losses j Total h,i Distillate Fuel Oil LPG b Motor Gasoline c Residual Fuel Oil Other d Total Wood and Waste f Losses and Co- products g Alabama ............. 65.0 179.1 23.9 3.7 3.3 6.7 46.3 83.9 0.0 147.2 0.0 (s) 115.1 590.4 219.5 810.0 Alaska ................. 0.1 253.8 19.2 0.1 1.0 0.0 27.1 47.4 0.0 0.1 0.0 0.0 4.5 306.0 9.4 315.4 Arizona ............... 10.0 22.0 33.2 1.4 4.6 (s) 18.4 57.6 0.0 1.4 3.1 0.2 42.1 136.5 84.7 221.2 Arkansas ............. 5.6 93.1 31.1 2.6 4.0 0.1 17.4 55.1 0.0 72.7 0.0 (s) 58.0 284.5 120.5 405.0 California ............ 35.6 767.4 77.2 23.9 29.6 (s) 312.5

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

8 8 State Energy Data 2011: Consumption Table C5. Residential Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal a Natural Gas b Petroleum Biomass Geothermal Solar/PV e Retail Electricity Sales Net Energy f Electrical System Energy Losses g Total f Distillate Fuel Oil Kerosene LPG c Total Wood d Alabama ............. 0.0 37.2 0.1 0.1 6.0 6.2 6.0 0.1 0.2 112.6 162.2 214.7 376.9 Alaska ................. 0.0 20.5 8.1 0.1 0.5 8.8 1.9 0.1 (s) 7.3 38.6 15.1 53.7 Arizona ............... 0.0 39.1 (s) (s) 5.5 5.5 2.6 (s) 7.9 112.9 168.0 226.8 394.7 Arkansas ............. 0.0 34.2 0.1 (s) 5.2 5.3 8.6 0.7 0.2 64.1 113.1 133.2 246.3 California ............ 0.0 522.4 0.6 0.6 30.9 32.2 33.3 0.2 43.2 301.6 932.9 583.1 1,516.1 Colorado ............. 0.0 134.2 0.1 (s) 12.3 12.4 8.3 0.2 0.7 62.4 216.5 136.5 353.0 Connecticut ......... 0.0 46.0 59.6

302

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 State Energy Data 2011: Consumption Table C9. Electric Power Sector Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Nuclear Electric Power Hydroelectric Power b Biomass Geothermal Solar/PV d Wind Net Electricity Imports e Total f Distillate Fuel Oil Petroleum Coke Residual Fuel Oil Total Wood and Waste c Alabama ............. 586.1 349.4 1.1 0.0 0.0 1.1 411.8 86.3 4.6 0.0 0.0 0.0 0.0 1,439.3 Alaska ................. 6.0 42.3 3.3 0.0 1.5 4.8 0.0 13.1 0.0 0.0 0.0 0.1 (s) 66.3 Arizona ............... 449.9 183.9 0.6 0.0 0.0 0.6 327.3 89.1 2.4 0.0 0.8 2.5 1.5 1,057.9 Arkansas ............. 300.5 109.2 0.5 0.0 0.1 0.6 148.5 28.7 1.3 0.0 0.0 0.0 0.0 588.9 California ............ 19.7 630.1 0.4 11.1 (s) 11.5 383.6 413.4 69.0 122.0 8.4 75.3 20.1 1,753.1 Colorado ............. 362.4 88.1 0.3 0.0 0.0 0.3 0.0 20.2 0.9

303

Microsoft Word - table_87  

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

5 5 Table 6. Natural gas processed, liquids extracted, and natural gas plant liquids production, by state, 2012 Alabama 87,269 5,309 7,110 Alabama Onshore Alabama 33,921 2,614 3,132 Alabama Offshore Alabama 53,348 2,695 3,978 Alaska 2,788,997 18,339 21,470 Alaska 2,788,997 18,339 21,470 Arkansas 6,872 336 424 Arkansas 6,872 336 424 California 169,203 9,923 12,755 California Onshore California 169,203 9,923 12,755 California Offshore California NA NA NA Federal Offshore California NA NA NA

304

Estimating Corn Grain Yields  

E-Print Network (OSTI)

This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure.

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

305

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Supplement Tables to the AEO2001 The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2001 (AEO2001) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2001, but contain regional and other more detailed projections underlying the AEO2001 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables is presented. The data for tables 10 and 20 match those published in AEO2001 Appendix tables A2 and A3, respectively. Forecasts for 1999 and 2000 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

306

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

The AEO Supplementary tables were generated for the reference case of the The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2002 (AEO2002) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2002, but contain regional and other more detailed projections underlying the AEO2002 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seven tables is presented. The data for tables 10 and 20 match those published in AEO2002 Appendix tables A2 and A3, respectively. Forecasts for 2000-2002 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current

307

Estimation of steady-state unbalanced system conditions combining conventional power flow and fault analysis software  

Science Conference Proceedings (OSTI)

In real three-phase power systems the voltages and currents are not fully symmetrical. A method has been developed to estimate the effects of slight unbalanced network conditions for steady-state operation. A conventional power flow is followed by a linear incremental calculation using a three-phase model of the network. The unbalanced condition is handled like a multiple unbalanced fault. The process is illustrated for the case of a transformer bank with non-identical single phase units. The results show the effects of different transformer reactances and different voltage ratios, respectively.

Reichelt, D.; Ecknauer, E. [Nordostschweizerische Kraftwerke AG, Baden (Switzerland); Glavitsch, H. [Swiss Federal Inst. of Tech., Zurich (Switzerland)

1996-02-01T23:59:59.000Z

308

Table of Contents PJM Manual [18]: PJM Capacity Market  

E-Print Network (OSTI)

Table of Contents Table of Contents..................................................................................................... ii

unknown authors

2008-01-01T23:59:59.000Z

309

Quantum process tomography and Linblad estimation of a solid state qubit  

E-Print Network (OSTI)

We present an example of quantum process tomography (QPT) performed on a single solid state qubit. The qubit used is two energy levels of the triplet state in the Nitrogen-Vacancy defect in Diamond. Quantum process tomography is applied to a qubit which has been allowed to decohere for three different time periods. In each case the process is found in terms of the chi matrix representation and the affine map representation. The discrepancy between experimentally estimated process and the closest physically valid process is noted. The results of QPT performed after three different decoherence times are used to find the error generators, or Lindblad operators, for the system, using the technique introduced by Boulant et al. [N. Boulant, T.F. Havel, M.A. Pravia and D.G. Cory, Phys. Rev. A 67, 042322 (2003)].

M. Howard; J. Twamley; C. Wittmann; T. Gaebel; F. Jelezko; J. Wrachtrup

2006-01-25T23:59:59.000Z

310

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. The data for tables 10 and 20 match those published in AEO200 Appendix tables A2 and A3, respectively. Forecasts for 1998, and 2000 may differ slightly from values published in the Short Term Energy Outlook, Fourth Quarter 1999 or Short Term Energy Outlook, First Quarter 2000, which are the official EIA short-term forecasts and are based on more current information than the AEO.

311

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

Science Conference Proceedings (OSTI)

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.

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

2012-09-01T23:59:59.000Z

312

Microsoft Word - table_05.doc  

Annual Energy Outlook 2012 (EIA)

"Monthly Natural Gas Production Report"; EIA estimates based on data from the Bureau of Ocean Energy Management, Regulation and Enforcement, and predecessor agencies; State...

313

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

Sector Energy Price Estimates, 2011 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy Coal Natural Gas Petroleum Total Aviation Gasoline a Distillate...

314

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table C6. Commercial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric Power e Biomass Geothermal Retail Electricity Sales Net Energy g Electrical System Energy Losses h Total g Distillate Fuel Oil Kerosene LPG b Motor Gasoline c Residual Fuel Oil Total d Wood and Waste f Alabama ............. 0.0 25.5 7.0 (s) 2.7 0.2 0.0 10.0 0.0 0.9 0.0 75.9 112.4 144.8 257.2 Alaska ................. 9.4 16.9 10.1 0.1 0.6 0.7 0.0 11.5 0.0 0.3 0.1 9.7 48.0 20.2 68.2 Arizona ............... 0.0 33.1 6.8 (s) 1.5 0.7 0.0 8.9 0.0 0.5 (s) 100.7 143.2 202.3 345.5 Arkansas ............. 0.0 40.6 3.6 (s) 1.2 0.4 0.0 5.2 0.0 1.3 0.0 41.4 88.6 86.1 174.7 California ............ 0.0 250.9 47.9 0.1 8.7 1.4 0.0 58.1 (s) 17.4 0.7 418.9 746.2 809.9 1,556.1 Colorado ............. 3.2 57.6 5.9 (s) 2.9 0.2 0.0 9.1 0.0 1.2 0.2

315

FY 2005 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Congressional Budget 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 depicted in this document represent the gross level of DOE budget authority for the years displayed. include both the discretionary and mandatory funding in the budget. balances, deferrals, rescissions, or other adjustments appropria ted as offsets to the DOE appropriations by the Congress.

316

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables to the Annual Energy Outlook 2005 Supplemental Tables to the Annual Energy Outlook 2005 EIA Glossary Supplemental Tables to the Annual Energy Outlook 2005 Release date: February 2005 Next release date: February 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2005 (AEO2005) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2025. Most of the tables were not published in the AEO2005, but contain regional and other more detailed projections underlying the AEO2005 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2005 Appendix tables A2 and A3, respectively. Forecasts for 2003-2005 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

317

Table of Contents  

Science Conference Proceedings (OSTI)

Table of Contents. A, B. 1, USGCB Settings. 2, This spreadsheet captures the USGCB defined configuration settings. 3, Tab Name, Tab Description. ...

2013-11-19T23:59:59.000Z

318

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

SciTech Connect

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.

Wu, M.; Peng, J. (Energy Systems); ( NE)

2011-02-24T23:59:59.000Z

319

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

6 6 State Energy Data 2011: Consumption Table C11. Energy Consumption by Source, Ranked by State, 2011 Rank Coal Natural Gas a Petroleum b Retail Electricity Sales State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,695.2 Texas 3,756.9 Texas 5,934.3 Texas 1,283.1 2 Indiana 1,333.4 California 2,196.6 California 3,511.4 California 893.7 3 Ohio 1,222.6 Louisiana 1,502.9 Louisiana 1,925.7 Florida 768.0 4 Pennsylvania 1,213.0 New York 1,246.9 Florida 1,680.3 Ohio 528.0 5 Illinois 1,052.2 Florida 1,236.6 New York 1,304.0 Pennsylvania 507.6 6 Kentucky 1,010.6 Pennsylvania 998.6 Pennsylvania 1,255.6 New York 491.5

320

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

SciTech Connect

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.

Oxtoby, Neil P.; Ralph, Jason F.; Durniak, Celine; Samsonov, Dmitry [Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ (United Kingdom)

2012-01-15T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Steady-state model for estimating gas production from underground coal gasification  

Science Conference Proceedings (OSTI)

A pseudo-one-dimensional channel model has been developed to estimate gas production from underground coal gasification. The model incorporates a zero-dimensional steady-state cavity growth submodel and models mass transfer from the bulk gas to the coal wall using a correlation for natural convection. Simulations with the model reveal that the gas calorific value is sensitive to coal reactivity and the exposed reactive surface area per unit volume in the channel. A comparison of model results with several small-scale field trials conducted at Centralia in the U.S.A. show that the model can make good predictions of the gas production and composition under a range of different operating conditions, including operation with air and steam/oxygen mixtures. Further work is required to determine whether the model formulation is also suitable for simulating large-scale underground coal gasification field trials.

Greg Perkins; Veena Sahajwalla [University of New South Wales, Sydney, NSW (Australia). School of Materials Science and Engineering

2008-11-15T23:59:59.000Z

322

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

Annual Energy Outlook 2012 (EIA)

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

323

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

Annual Energy Outlook 2012 (EIA)

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

324

Table 28. Motor Gasoline Prices by Grade, Sales Type, PAD ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration/Petroleum Marketing Monthly January 2012 56 Table 28. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State

325

Table 31. Refiner Motor Gasoline Prices by Grade, Sales Type ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration/Petroleum Marketing Monthly February 2012 76 Table 31. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State

326

Table 45. Prime Supplier Sales Volumes of Motor Gasoline by ...  

U.S. Energy Information Administration (EIA)

Table 45. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) — Continued

327

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

328

Table 13. Shale Gas Proved Reserves and Production, 2007 - 2009 ...  

U.S. Energy Information Administration (EIA)

Table 13. Shale Gas Proved Reserves and Production, 2007 - 2009 (Billion Cubic Feet at 14.73 psia and 60° Fahrenheit) Reserves Production State and Subdivision 2007 ...

329

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

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

330

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

Annual Energy Outlook 2012 (EIA)

Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

331

Table 16. Coalbed methane proved reserves and production, 2007 - 2011  

U.S. Energy Information Administration (EIA)

Table 16: Coalbed methane proved reserves and production, 2007 – 2011 billion cubic feet State and Subdivision 2007 2008 2009 2010 2011 2007 2008 2009 2010 2011

332

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

Annual Energy Outlook 2012 (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) -...

333

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

Annual Energy Outlook 2012 (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) -...

334

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...

335

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

U.S. Energy Information Administration (EIA)

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

336

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

Annual Energy Outlook 2012 (EIA)

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) -...

337

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

SciTech Connect

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.

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

2011-11-01T23:59:59.000Z

338

Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A.  

NLE Websites -- All DOE Office Websites (Extended Search)

State-Level Emission Estimates State-Level Emission Estimates Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A. and the District of Columbia for Each Year from 1960 through 2001 graphics Graphics data Data (ASCII comma-delimited) Investigators T.J. Blasing and Gregg Marland Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6335, U.S.A. Christine Broniak Department of Agricultural & Resource Economics, Oregon State University, Corvallis, Oregon 97331-3601 DOI 10.3334/CDIAC/00003 Period of Record 1960-2001 Methods Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to

339

State Summaries  

Gasoline and Diesel Fuel Update (EIA)

46. 46. Percent Distribution of Natural Gas Supply and Disposition by State, 1996 Table State Estimated Proved Reserves (dry) Marketed Production Total Consumption Alabama................................................................... 3.02 2.69 1.48 Alaska ...................................................................... 5.58 2.43 2.04 Arizona..................................................................... NA 0 0.55 Arkansas.................................................................. 0.88 1.12 1.23 California.................................................................. 1.25 1.45 8.23 Colorado .................................................................. 4.63 2.90 1.40 Connecticut.............................................................. 0 0 0.58 D.C...........................................................................

340

ARM - Instrument Location Table  

NLE Websites -- All DOE Office Websites (Extended Search)

govInstrumentsLocation Table govInstrumentsLocation Table Instruments Location Table Contacts Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument Locations Site abbreviations explained in the key. Instrument Name Abbreviation NSA SGP TWP AMF C1 C2 EF BF CF EF IF C1 C2 C3 EF IF Aerosol Chemical Speciation Monitor ACSM Atmospheric Emitted Radiance Interferometer AERI Aethalometer AETH Ameriflux Measurement Component AMC Aerosol Observing System AOS Meteorological Measurements associated with the Aerosol Observing System AOSMET Broadband Radiometer Station BRS

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

17 17 Table C12. Total Energy Consumption, Gross Domestic Product (GDP), Energy Consumption per Real Dollar of GDP, Ranked by State, 2011 Rank Total Energy Consumption Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2005) Dollars State Thousand Btu per Chained (2005) Dollar 1 Texas 12,206.6 California 1,735.4 Louisiana 19.7 2 California 7,858.4 Texas 1,149.9 Wyoming 17.5 3 Florida 4,217.1 New York 1,016.4 North Dakota 15.4 4 Louisiana 4,055.3 Florida 661.1 Alaska 14.3 5 Illinois 3,977.8 Illinois 582.1 Mississippi 13.8 6 Ohio 3,827.6 Pennsylvania 500.4 Kentucky 13.5

342

FY 2010 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Laboratory Tables 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 the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2010 Congressional Budget Page 1 of 3 (Dollars In Thousands) 2:08:56PM Department Of Energy 5/4/2009 Page Number FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request Laboratory Table 1 1 $1,200

343

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 1999 Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Contacts bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage supplemental.gif (7420 bytes) (Errata as of 9/13/99) The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 1999 (AEO99) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1997 to 2020. Most of the tables were not published in the AEO99, but contain regional and other more detailed projections underlying the AEO99 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables are presented.

344

table E1  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table E.1 World Primary Energy Consumption (Btu), 1980-2006 (Quadrillion (10 15 ) Btu) Page

345

Table - Energy Information Administration  

U.S. Energy Information Administration (EIA)

September 2013 U.S. Energy Information 9/27/2013 9:52:45 AM Administration | Natural Gas Monthly 9 Created on: Table 4. U.S. natural gas imports ...

346

CBECS Buildings Characteristics --Revised Tables  

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

Buildings Use Tables 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 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 buildings in the

347

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

5HVLGHQWLDO (QHUJ\\ &RQVXPSWLRQ 6XUYH\\V 1997 Consumption and Expenditures Tables Appliances Consumption Tables (17 pages, 60 kb) Contents Pages CE5-1c.

348

Data Sensitivity of the ECCO State Estimate in a Regional Setting  

Science Conference Proceedings (OSTI)

The Estimating the Circulation and Climate of the Ocean (ECCO) consortium provides a framework in which the adjoint method of data assimilation is applied to a general circulation model to provide a dynamically self-consistent estimate of the ...

Elizabeth Douglass; Dean Roemmich; Detlef Stammer

2009-11-01T23:59:59.000Z

349

Evaluation of Biases of Satellite Rainfall Estimation Algorithms over the Continental United States  

Science Conference Proceedings (OSTI)

A bias-adjusted radar rainfall product is created and used for evaluation of two satellite rainfall estimation algorithms. Three years of collocated rainfall estimates from radar, rain gauges, a microwave satellite algorithm, and a multispectral (...

Jeffrey R. McCollum; Witold F. Krajewski; Ralph R. Ferraro; Mamoudou B. Ba

2002-11-01T23:59:59.000Z

350

Renesse, “Toward a reliable, secure and fault tolerant smart grid state estimation  

E-Print Network (OSTI)

Abstract—The collection and prompt analysis of synchrophasor measurements is a key step towards enabling the future smart power grid, in which grid management applications would be deployed to monitor and react intelligently to changing conditions. The potential exists to slash inefficiencies and to adaptively reconfigure the grid to take better advantage of renewables, coordinate and share reactive power, and to reduce the risk of catastrophic large-scale outages. However, to realize this potential, a number of technical challenges must be overcome. We describe a continuously active, timely monitoring framework that we have created, architected to support a wide range of grid-control applications in a standard manner designed to leverage cloud computing. Cloud computing systems bring significant advantages, including an elastic, highly available and cost-effective compute infrastructure well-suited for this application. We believe that by showing how challenges of reliability, timeliness, and security can be addressed while leveraging cloud standards, our work opens the door for wider exploitation of the cloud by the smart grid community. This paper characterizes a PMU-based state-estimation application, explains how the desired system maps to a cloud architecture, identifies limitations in the standard cloud infrastructure relative to the needs of this usecase, and then shows how we adapt the basic cloud platform options with sophisticated technologies of our own to achieve the required levels of usability, fault tolerance, and parallelism. I.

Ketan Maheshwari; Marcus Lim; Lydia Wang; Ken Birman; Robbert Van Renesse

2013-01-01T23:59:59.000Z

351

Precision Flow Table | Open Energy Information  

Open Energy Info (EERE)

Table Table Jump to: navigation, search Basic Specifications Facility Name Flow Table Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Flow Table Length(m) 2.4 Beam(m) 1.2 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities None Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system Cameras None Available Sensors Flow, Pressure Range(psi), Turbulence, Velocity, Wave Probe Data Generation Capability Real-Time No Test Services Test Services Yes Past Pertinent Test Experience Users are District Engineers, Planners, and Engineering Consultants

352

Design and Study on the State of Charge Estimation for Lithium-ion Battery Pack in Electric Vehicle  

Science Conference Proceedings (OSTI)

State of charge (SOC) estimation is an increasingly important issue in battery management system (BMS) and has become a core factor to promote the development of electric vehicle (EV). In addition to offering the real time display of battery parameters ... Keywords: combination algorithm, state of charge (SOC), open circuit voltage (OCV), extended Kalman filtering (EKF), ampere hour (Ah), battery management system (BMS), electric vehicle (EV)

Jie Xu; Mingyu Gao; Zhiwei He; Jianbin Yao; Hongfeng Xu

2009-11-01T23:59:59.000Z

353

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

E8. Primary Energy, Electricity, and Total Energy Expenditure Estimates, 2011 (Million Dollars) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i...

354

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C2. Energy Consumption Estimates for Major Energy Sources in Physical Units, 2011 State Coal Natural Gas a Petroleum Nuclear Electric Power Hydro- electric Power f Fuel Ethanol g...

355

The (Dis)advantaged Incumbents: Estimating Incumbency Effects in Indian State Legislatures  

E-Print Network (OSTI)

e . L i t e r a c y rate, electricity, state p o p u l a t iStates Independent Variables Literacy Rate Electricity

Uppal, Yogesh

2005-01-01T23:59:59.000Z

356

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2007 (Million Cubic Feet) Colorado ......................... 0 3 0 6,866 6,869 Delaware ........................ 0 5 0 0 5 Georgia........................... 0 2 0 0 2 Hawaii............................. 2,679 4 0 0 2,683 Illinois.............................. 0 11 0 0 11 Indiana............................ 0 81 0 554 635 Iowa ................................ 0 2 38 0 40 Kentucky......................... 0 124 0 0 124 Maryland ......................... 0 245 0 0 245 Massachusetts................ 0 15 0 0 15 Minnesota ....................... 0 54 0 0 54 Missouri .......................... 7 60 0 0 66 Nebraska ........................ 0 33 0 0 33 New Hampshire .............. 0 9 0 0 9 New Jersey ..................... 0 0 0 379 379 New York ........................

357

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2008 (Million Cubic Feet) Colorado ......................... 0 2 0 6,256 6,258 Delaware ........................ 0 2 0 0 2 Georgia........................... 0 * 0 0 * Hawaii............................. 2,554 5 0 0 2,559 Illinois.............................. 0 15 0 0 15 Indiana............................ 0 30 0 0 30 Iowa ................................ 0 24 3 0 27 Kentucky......................... 0 15 0 0 15 Maryland ......................... 0 181 0 0 181 Massachusetts................ 0 13 0 0 13 Minnesota ....................... 0 46 0 0 46 Missouri .......................... * 6 0 0 6 Nebraska ........................ 0 28 0 0 28 New Hampshire .............. 0 44 0 0 44 New Jersey ..................... 0 0 0 489 489 New York ........................

358

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2009 (Million Cubic Feet) Colorado ......................... 0 3 0 7,525 7,527 Connecticut..................... 0 * 0 0 * Delaware ........................ 0 2 0 0 2 Georgia........................... 0 0 52 * 52 Hawaii............................. 2,438 9 0 0 2,447 Illinois.............................. 0 20 0 0 20 Indiana............................ 0 * 0 0 * Iowa ................................ 0 3 0 0 3 Kentucky......................... 0 18 0 0 18 Maryland ......................... 0 170 0 0 170 Massachusetts................ 0 10 0 0 10 Minnesota ....................... 0 47 0 0 47 Missouri .......................... * 10 0 0 10 Nebraska ........................ 0 18 0 0 18 New Jersey ..................... 0 0 0 454 454 New York ........................

359

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2010 (Million Cubic Feet) Colorado ......................... 0 4 0 5,144 5,148 Delaware ........................ 0 1 0 0 1 Georgia........................... 0 0 732 0 732 Hawaii............................. 2,465 6 0 0 2,472 Illinois.............................. 0 17 0 0 17 Indiana............................ 0 1 0 0 1 Iowa ................................ 0 2 0 0 2 Kentucky......................... 0 5 0 0 5 Louisiana ........................ 0 0 249 0 249 Maryland ......................... 0 115 0 0 115 Massachusetts................ 0 * 0 0 * Minnesota ....................... 0 12 0 0 12 Missouri .......................... * 18 0 0 18 Nebraska ........................ 0 12 0 0 12 New Jersey ..................... 0 0 0 457 457 New York ........................

360

2001 Housing Characteristics Detailed Tables  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey-Housing Characteristics, 2001 Detailed Tables, Energy Information Administration

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Robust State Estimation Under False Data Injection in Distributed Sensor Networks Shanshan Zheng, Tao Jiang, John S. Baras  

E-Print Network (OSTI)

Robust State Estimation Under False Data Injection in Distributed Sensor Networks Shanshan Zheng algorithms against false data injection. They are built upon an existing distributed Kalman filtering infrastructure assets, such as power grids, automated railroad control, water and gas distribution, etc

Baras, John S.

362

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

Reports and Publications (EIA)

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

Information Center

2007-10-23T23:59:59.000Z

363

Model-based estimation of time-varying parameters and state variables in aerobic bioprocesses  

Science Conference Proceedings (OSTI)

Keywords: adaptive observer, aerobic bioprocess, biomass concentration, biomass growth rate, model-based estimation, observer stability, oxygen comsumption, time-varying parameters, yield coefficient

V. Lubenova

2000-08-01T23:59:59.000Z

364

FY 2006 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Laboratory Tables 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, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2006 Congressional Budget Page 1 of 3 (Dollars In Thousands) 3:43:16PM Department Of Energy 1/27/2005 Page Number FY 2004 Comp/Approp FY 2005 Comp/Approp

365

Fy 2009 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Laboratory Tables Laboratory Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2009 Congressional Budget Page 1 of 3 (Dollars In Thousands) 8:59:25AM Department Of Energy 1/30/2008 Page Number FY 2007 Appropriation FY 2008 Appropriation FY 2009

366

FY 2007 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Laboratory tables Laboratory tables preliminary Department of Energy FY 2007 Congressional Budget Request February 2006 Printed with soy ink on recycled paper Office of Chief Financial Officer Laboratory tables preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2007 Congressional Budget Page 1 of 3 (Dollars In Thousands) 12:10:40PM Department Of Energy 1/31/2006 Page Number FY 2005 Appropriation FY 2006 Appropriation FY 2007

367

FY 2011 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Laboratory Tables 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 appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 Laboratory / Facility Index FY 2011 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:24:57AM Department Of Energy 1/29/2010 Page

368

FY 2008 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Laboratory Table 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 adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2008 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:51:02AM Department Of Energy 2/1/2007 Page Number FY 2006 Appropriation FY 2007 Request FY 2008 Request

369

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

SciTech Connect

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

Berry, L.

1997-01-01T23:59:59.000Z

370

FY 2013 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation 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......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

371

FY 2009 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation 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 energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

372

RSE Table 5.4 Relative Standard Errors for Table 5.4  

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

4 Relative Standard Errors for Table 5.4;" 4 Relative Standard Errors for Table 5.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"TOTAL FUEL CONSUMPTION",2,3,6,2,3,9

373

RSE Table 7.9 Relative Standard Errors for Table 7.9  

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

9 Relative Standard Errors for Table 7.9;" 9 Relative Standard Errors for Table 7.9;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," " "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" 311,"Food",4,4,24,21,5,23,7,0,20

374

RSE Table 3.2 Relative Standard Errors for Table 3.2  

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

2 Relative Standard Errors for Table 3.2;" 2 Relative Standard Errors for Table 3.2;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," " "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",4,5,25,20,5,27,6,0,10

375

RSE Table 5.2 Relative Standard Errors for Table 5.2  

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

2 Relative Standard Errors for Table 5.2;" 2 Relative Standard Errors for Table 5.2;" " Unit: Percents." " "," "," ",," ","Distillate"," "," ",," " " "," ",,,,"Fuel Oil",,,"Coal" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," " "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

376

Microsoft Word - table_13.doc  

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

U.S. Energy Information Administration | Natural Gas Monthly 31 Table 13 Created on: 12/12/2013 2:28:44 PM Table 13. Activities of underground natural gas storage operators, by state, September 2013 (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 35,400 27,350 8,050 21,262 29,312 2,852 15.5 1,743 450 Alaska a 5 83,592 67,915 14,197 20,455 34,652 NA NA 1,981 30 Arkansas 2 21,853 12,178 9,648 3,372 13,020 -1,050 -23.7 204 0 California 14 599,711 374,296

377

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

Fuel Cell Technologies Publication and Product Library (EERE)

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

378

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

DOE Green Energy (OSTI)

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

Not Available

2009-09-01T23:59:59.000Z

379

TABLE OF CONTENTS  

NLE Websites -- All DOE Office Websites (Extended Search)

/2011 /2011 Decades of Discovery Decades of Discovery Page 2 6/1/2011 TABLE OF CONTENTS 1 INTRODUCTION ...................................................................................................................... 6 2 BASIC ENERGY SCIENCES .................................................................................................. 7 2.1 Adenosine Triphosphate: The Energy Currency of Life .............................................. 7 2.2 Making Better Catalysts .............................................................................................. 8 2.3 Understanding Chemical Reactions............................................................................ 9 2.4 New Types of Superconductors ................................................................................ 10

380

Evaluation of Satellite Estimates of Land Surface Temperature from GOES over the United States  

Science Conference Proceedings (OSTI)

A comprehensive evaluation of split-window and triple-window algorithms to estimate land surface temperature (LST) from Geostationary Operational Environmental Satellites (GOES) that were previously described by Sun and Pinker is presented. The ...

Rachel T. Pinker; Donglian Sun; Meng-Pai Hung; Chuan Li; Jeffrey B. Basara

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Estimating the Seasonal Carbon Source-Sink Geography of a Natural, Steady-State Terrestrial Biosphere  

Science Conference Proceedings (OSTI)

The seasonal dynamics of biospheric-carbon sources and sinks represents a needed input to global atmospheric CO2 studies and models. For the terrestrial biosphere, initial monthly estimates of overall metabolism and net biosphere-atmosphere ...

Elgene O. Box

1988-10-01T23:59:59.000Z

382

Mooring Design Using Wave-State Estimate from the Southern Ocean  

Science Conference Proceedings (OSTI)

The Southern Ocean Flux Station was deployed near 47°S, 140°E. The extreme wind and wave conditions at this location require appropriate mooring design, which includes dynamic fatigue analysis and static analysis. An accurate estimate of the wave ...

E. W. Schulz; M. A. Grosenbaugh; L. Pender; D. J. M. Greenslade; T. W. Trull

2011-10-01T23:59:59.000Z

383

Microsoft Word - table_07.doc  

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

7 7 Table 7. Supplemental gas supplies by state, 2012 (million cubic feet) Colorado 0 99 0 4,313 4,412 Georgia 0 0 660 0 660 Hawaii 2,491 20 0 0 2,510 Illinois 0 1 0 0 1 Indiana 0 1 0 0 1 Kentucky 0 1 0 0 1 Louisiana 0 0 553 0 553 Maryland 0 116 0 0 116 Minnesota 0 9 0 0 9 Missouri * 0 0 0 * Nebraska 0 4 0 0 4 New Jersey 0 0 0 139 139 North Dakota 52,541 0 0 0 52,541 Ohio 0 6 360 0 366 Pennsylvania 0 2 0 0 2 Vermont 0 3 0 0 3 Virginia 0 48 0 0 48 Total 55,032 309 1,573 4,452 61,366 State Synthetic Natural Gas Propane-Air Biomass Gas Other Total * Volume is less than 500,000 cubic feet.

384

Sensitivity analysis, ocean state estimation and diagnostics in the California current  

E-Print Network (OSTI)

source water . . 2.5.2 Offshore upwelling source water . .states shows stronger offshore transport during the Aprilof interest: inshore and offshore of the Point Sur region of

Song, Hajoon

2011-01-01T23:59:59.000Z

385

EIA improves state-level monthly oil production estimates with up ...  

U.S. Energy Information Administration (EIA)

With the release of the 2011 Petroleum Supply Annual (PSA), the U.S. Energy Information Administration (EIA) revised State-level monthly crude oil (including lease ...

386

EIA improves state-level monthly oil production estimates with up ...  

U.S. Energy Information Administration (EIA)

Wind › Geothermal › ... Revisions for the largest producing individual states and Federal offshore areas (areas producing more than 500,000 bbl/d over the January ...

387

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

SciTech Connect

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.

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

2009-06-01T23:59:59.000Z

388

Distribution Fast Simulation and Modeling Technical Update: First Sensor Location Strategy for the Enhancement of Distribution State Estimation  

Science Conference Proceedings (OSTI)

Distribution automation offers new abilities to improve the performance of distribution operation and control, but improved flexibility and controllability of the distribution grid is only possible if control center tools and engineers have a more accurate representation of the grid in real-time than what is provided by existing supervisory control and data acquisition (SCADA) systems. A Distribution State Estimator (DSE) is a non linear optimization that uses a limited number of measurements combined wi...

2008-03-31T23:59:59.000Z

389

Table A36. Total Inputs of Energy for Heat, Power, and Electricity  

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

"Table A36. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Fuel Type, Industry Group, Selected Industries, and End Use, 1991:" " Part 2" " (Estimates in...

390

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in...

391

Table 4.5 Crude Oil and Natural Gas Exploratory and ...  

U.S. Energy Information Administration (EIA)

R=Revised. 2 See "Crude Oil Well" in Glossary. Notes: - 2011 data for this table were not available in time for publication. - Data are estimates.

392

Table 5.1a Petroleum and Other Liquids Overview, 1949-2011  

U.S. Energy Information Administration (EIA)

Table 5.1a Petroleum and Other Liquids Overview, 1949-2011: Year: Production 1: Production as Share of Estimated Consumption: Net Imports 2: Net Imports

393

EJ and EK Pay Table  

Energy.gov (U.S. Department of Energy (DOE))

The 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.   

394

February 2013 Table of Contents  

Science Conference Proceedings (OSTI)

Inform February 2013 table of contents. February 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine me

395

Visualization of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997 ... Visualization of truth tables. The Figures are computer-generated tables that show the value 1 as being represented by a black pixel and 0 by a ...

396

January 2013 Table of Contents  

Science Conference Proceedings (OSTI)

inform January 2013 table of contents. January 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine membe

397

Microsoft Word - table_01.doc  

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

3 3 Table 1 Table 1. Summary of natural gas supply and disposition in the United States, 2008-2013 (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 2008 Total 25,636 21,112 953 20,159 61 3,021 34 2 23,277 2009 Total 26,057 21,648 1,024 20,624 65 2,679 -355 -103 22,910 2010 Total 26,816 22,382 1,066 21,316 65 2,604 -13 115 24,087 2011 January 2,299 1,953 92 1,861 5 236 811 R -24 R 2,889 February 2,104 1,729 82 1,647 4 186 594 R 20 R 2,452 March 2,411 2,002 95 1,908 5 171 151 R -4 R 2,230 April 2,350 1,961 93 1,868 5 R 152 -216 R 17 R 1,825 May 2,411 2,031

398

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural gas production, transmission, and consumption, by state, 2012 (million cubic feet) U.S. Energy Information Administration | Natural Gas Annual 4 Table 2 Alabama 215,710 7,110 -162,223 617,883 0 -2,478 0 666,738 Alaska 351,259 21,470 22,663 0 -9,342 0 0 343,110 Arizona 117 0 -13,236 389,036 -43,838 0 0 332,079 Arkansas 1,146,168 424 -18,281 -831,755 0 -103 0 295,811 California 246,822 12,755 104,820 2,222,355 -109,787 48,071 0 2,403,385 Colorado 1,709,376 81,943 -107,940 -1,077,968 0 2,570 4,412 443,367 Connecticut 0 0 4,191 225,228 0 260 0 229,159 Delaware 0 0 21,035 80,692 0 51 * 101,676 District of Columbia 0 0 497 28,075 0 0 0 28,572 Florida 18,681 0 15,168 1,294,620 0 0 0 1,328,469

399

FY 2012 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5 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 revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2012 Congressional Budget

400

FY 2008 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation 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% Construction.................................................................... 31,155 6,030 -- -6,030 -100.0% Total, Energy supply and conservation............................. 1,812,397 1,923,361 2,187,943 +264,582 +13.8% Fossil energy programs Clean coal technology.................................................... -20,000 -- -58,000 -58,000 N/A Fossil energy research and development......................

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

FY 2006 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation 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 22,416 40,175 17,759 +79.2% Total, Energy supply................................................................ 794,897 932,319 902,674 -29,645 -3.2% Non-Defense site acceleration completion............................. 167,272 157,316 172,400 15,084 +9.6%

402

FY 2013 Laboratory Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8 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 revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2013 Congressional Budget

403

FY 2010 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation 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 reliability........................................ 136,170 137,000 4,500,000 208,008 +71,008 +51.8% Nuclear energy.............................................................................. 960,903 792,000 -- 761,274 -30,726 -3.9% Legacy management..................................................................... 33,872 -- -- --

404

FY 2012 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2Statistical Table by Appropriation 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 reliability........................................ 168,484 185,930 171,982 237,717 +69,233 +41.1% Nuclear energy............................................................................. 774,578 824,052 786,637 754,028 -20,550 -2.7% Fossil energy programs Fossil energy research and development................................... 659,770 586,583 672,383 452,975

405

FY 2007 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Statistical Table by Appropriation 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% Construction................................................................... 22,416 21,255 6,030 -15,225 -71.6% Total, Energy supply and conservation.............................. 1,801,815 1,812,627 1,923,361 +110,734 +6.1% Fossil energy programs Clean coal technology..................................................... -160,000 -20,000 -- +20,000 +100.0% Fossil energy research and development.......................

406

Advanced Vehicle Technologies Awards Table | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Vehicle Technologies Awards Table Vehicle Technologies Awards Table Advanced Vehicle Technologies Awards Table The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project. The sub-categories of the table include: Advanced fuels and lubricants Light-weighting materials Demonstration Project for a Multi-Material Light-Weight Prototype Vehicle Advanced cells and design technology for electric drive batteries Advanced power electronics and electric motor technology Solid State Thermoelectric Energy Conversion Devices Fleet Efficiency Advanced Vehicle Testing and Evaluation Microsoft Word - VTP $175 Advanced Vehicle Tech project descriptions draft v5 8-2-11 More Documents & Publications Advanced Vehicle Technologies Awards advanced vehicle technologies awards table

407

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

E-Print Network (OSTI)

kW demand and costs per annual kWh sales. Cost estimates arePer Un-served kWh Cost Per Annual kWh Small C&I Cost PerPer Un-served kWh Cost Per Annual kWh Residential Cost Per

Sullivan, M.J.

2009-01-01T23:59:59.000Z

408

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

Science Conference Proceedings (OSTI)

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 ...

Prem Woli; Joel O. Paz

2012-05-01T23:59:59.000Z

409

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

Reports and Publications (EIA)

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

Information Center

2006-09-19T23:59:59.000Z

410

May 2011 Table of Contents  

Science Conference Proceedings (OSTI)

May 2011 Table of Contents Inform Magazine Inform Archives News 266     Insect oils: nutritional and industrial applications Many

411

October 2010 Table of Contents  

Science Conference Proceedings (OSTI)

October 2010 Table of Contents Inform Magazine Inform Archives News 598      Universal detectors for determination of lipids in biodiesel producti

412

Table of Contents  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

COMMUNICATIONS REQUIREMENTS COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary.......................................................... 1 a. Overview of Smart Grid Benefits and Communications Needs................. 2 b. Summary of Recommendations .................................................................... 5 II. Federal Government Smart Grid Initiatives ................................................ 7 a. DOE Request for Information ....................................................................... 7 b. Other Federal Government Smart Grid Initiatives .................................... 9 III. Communications Requirements of Smart Grid Applications .................. 11 a. Advanced Metering Infrastructure ............................................................12

413

Abstract--This paper addresses a problem in state estimators for power systems. The issue of non-collocated measurements is  

E-Print Network (OSTI)

transformer (CT) and the potential trans- former (PT) of a power measurement instrument is separated1 Abstract-- This paper addresses a problem in state estimators for power systems. The issue of non to active and reactive power which are transmitted to the state estimator. If the voltage and current

414

State-of-Charge Estimations for Lead-Acid and Lithium-Ion Batteries.  

E-Print Network (OSTI)

??This thesis studies State-of-Charge (SOC) method for widely used lead-acid batteries and the most prospective lithium-ion batteries. First, the relationship between the battery capacity and… (more)

Chen, Yi-Ping

2007-01-01T23:59:59.000Z

415

Accounting for Model Error in Ensemble-Based State Estimation and Forecasting  

Science Conference Proceedings (OSTI)

Accurate forecasts require accurate initial conditions. For systems of interest, even given a perfect model and an infinitely long time series of observations, it is impossible to determine a system's exact initial state. This motivates a ...

James A. Hansen

2002-10-01T23:59:59.000Z

416

Iterative equalization and decoding using reduced-state sequence estimation based soft-output algorithms  

E-Print Network (OSTI)

We study and analyze the performance of iterative equalization and decoding (IED) using an M-BCJR equalizer. We use bit error rate (BER), frame error rate simulations and extrinsic information transfer (EXIT) charts to study and compare the performances of M-BCJR and BCJR equalizers on precoded and non-precoded channels. Using EXIT charts, the achievable channel capacities with IED using the BCJR, M-BCJR and MMSE LE equalizers are also compared. We predict the BER performance of IED using the M-BCJR equalizer from EXIT charts and explain the discrepancy between the observed and predicted performances by showing that the extrinsic outputs of the $M$-BCJR algorithm are not true logarithmic-likelihood ratios (LLR's). We show that the true LLR's can be estimated if the conditional distributions of the extrinsic outputs are known and finally we design a practical estimator for computing the true LLR's from the extrinsic outputs of the M-BCJR equalizer.

Tamma, Raja Venkatesh

2005-05-01T23:59:59.000Z

417

Microsoft Word - table_21.doc  

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

9 9 Table 21. Number of natural gas commercial consumers by type of service and state, 2011-2012 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 R 67,561 135 R 67,696 67,099 135 67,234 Alaska R 12,724 303 R 13,027 13,073 61 13,134 Arizona 56,349 198 56,547 56,252 280 56,532 Arkansas 67,454 361 67,815 68,151 614 68,765

418

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 5. Number of Wells Producing by State and the Gulf of Mexico, December 31, 2003-2007 Alabama .......................................................... 5,157 5,526 5,523 6,227 6,591 Alaska.............................................................. 195 224 227 231 239 Arizona ............................................................ 9 6 6 7 7 Arkansas.......................................................... 7,606 3,460 3,462 R 3,814 4,773 California ......................................................... 1,249 1,272 1,356 1,451 1,540 Colorado .......................................................... 18,774 16,718 22,691 20,568 22,949 Gulf of Mexico.................................................. 3,039 2,781 2,123 R 2,419 2,552 Illinois...............................................................

419

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 21. Number of Natural Gas Industrial Consumers by Type of Service and State, 2007-2008 Alabama ...................... 2,409 295 2,704 2,476 281 2,757 Alaska.......................... 7 4 11 2 4 6 Arizona ........................ 296 99 395 285 98 383 Arkansas...................... 637 418 1,055 648 456 1,104 California ..................... 35,814 3,320 39,134 36,124 3,533 39,657 Colorado ...................... 298 4,294 4,592 341 4,475 4,816 Connecticut.................. 2,472 845 3,317 2,386 810 3,196 Delaware ..................... 125 60 185 96 69 165 Florida.......................... 156 311 467 161 288 449 Georgia........................ R 1,013 1,900 R 2,913 1,003 1,887 2,890 Hawaii.......................... 27 0 27 27 0 27 Idaho............................ 109 79 188 108 91 199 Illinois...........................

420

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas by State, 2005-2009 2005 Total ............................ 15,425,867 -- 7.33 18,927,095 138,750,746 2006 Total ............................ 15,981,421 -- 6.39 19,409,674 124,074,399 2007 Total ............................ 16,335,710 -- 6.25 20,196,346 126,164,553 2008 Total ............................ R 18,305,411 -- R 7.97 R 21,112,053 R 168,342,230 2009 Total ............................ 18,763,726 -- 3.67 21,604,158 79,188,096 Alabama ............................... 225,666 975,789 4.32 236,029 1,020,599 Alaska................................... 397,077 1,163,555 2.93 397,077 1,163,554 Arizona ................................. 695 2,214 3.19 712 2,269 Arkansas............................... 680,613 2,332,956 3.43

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table 21. Number of natural gas commercial consumers by type of service and state, 2010-2011 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 R 68,017 146 R 68,163 67,522 135 67,657 Alaska 12,673 325 12,998 12,721 303 13,024 Arizona 56,510 166 56,676 56,349 198 56,547 Arkansas 67,676 311 67,987 67,454 361 67,815 California 399,290 40,282

422

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas by State, 2006-2010 2006 Total ............................ 15,981,421 -- 6.39 19,409,674 124,074,399 2007 Total ............................ 16,335,710 -- 6.25 20,196,346 126,164,553 2008 Total ............................ 18,305,411 -- 7.97 21,112,053 168,342,230 2009 Total ............................ 18,763,726 -- 3.67 R 21,647,936 R 79,348,561 2010 Total ............................ 19,262,198 -- 4.48 22,402,141 100,272,654 Alabama ............................... 212,769 949,340 4.46 222,932 994,688 Alaska................................... 316,546 1,002,566 3.17 374,226 1,185,249 Arizona ................................. 165 676 4.11 183 753 Arkansas............................... 936,600 3,594,843 3.84

423

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Table 8. Supplemental Gas Supplies by State, 2005 (Million Cubic Feet) Colorado ...................... 0 2 0 0 5,283 5,285 Connecticut.................. 0 273 0 0 0 273 Delaware ..................... 0 * 0 0 0 * Georgia........................ 0 * 0 0 0 * Hawaii.......................... 2,593 14 0 0 0 2,606 Illinois........................... 0 11 0 4 0 15 Indiana......................... 0 30 0 0 1,958 1,988 Iowa ............................. 0 2 0 30 0 31 Kentucky...................... 0 15 0 0 0 15 Maryland ...................... 0 382 0 0 0 382 Massachusetts............. 0 46 0 0 0 46 Minnesota .................... 0 154 0 0 0 154 Missouri ....................... 0 15 0 0 0 15 Nebraska ..................... 0 16 0 * 0 16 New Hampshire ........... 0 84 0 0 0 84 New Jersey .................. 0 0 0 0 435 435 New York

424

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas, 2003-2007, and by State, 2007 2003 Total ............................ 14,589,545 -- 4.88 19,974,360 97,555,375 2004 Total ............................ 15,223,749 -- 5.46 19,517,491 106,521,974 2005 Total ............................ 15,425,867 -- 7.33 18,927,095 138,750,746 2006 Total ............................ R 15,981,421 -- R 6.39 R 19,409,674 R 124,074,399 2007 Total ............................ 16,031,199 -- 6.37 20,019,321 127,530,680 Alabama ............................... 259,062 1,926,374 7.44 270,407 2,010,736 Alaska................................... 368,344 2,072,647 5.63 433,485 2,439,193 Arizona ................................. 634 3,791 5.98 655 3,913 Arkansas...............................

425

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 5. Number of Producing Gas Wells by State and the Gulf of Mexico, December 31, 2006-2010 Alabama .......................................................... 6,227 6,591 6,860 6,913 7,026 Alaska.............................................................. 231 239 261 261 269 Arizona ............................................................ 7 7 6 6 5 Arkansas.......................................................... 3,814 4,773 5,592 6,314 7,397 California ......................................................... 1,451 1,540 1,645 1,643 1,580 Colorado .......................................................... 20,568 22,949 25,716 27,021 28,813 Gulf of Mexico.................................................. 2,419 2,552 1,527 1,984 1,852 Illinois...............................................................

426

Microsoft Word - table_06.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 6. Wellhead Value and Marketed Production of Natural Gas, 2004-2008, and by State, 2008 2004 Total ............................ 15,223,749 -- 5.46 19,517,491 106,521,974 2005 Total ............................ 15,425,867 -- 7.33 18,927,095 138,750,746 2006 Total ............................ 15,981,421 -- 6.39 19,409,674 124,074,399 2007 Total ............................ R 16,335,710 -- R 6.25 R 20,196,346 R 126,164,553 2008 Total ............................ 18,424,440 -- 7.96 21,239,516 169,038,089 Alabama ............................... 246,747 2,382,188 9.65 257,884 2,489,704 Alaska................................... 337,359 2,493,128 7.39 398,442 2,944,546 Arizona ................................. 503 3,568 7.09 523 3,710 Arkansas...............................

427

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 21. Number of Natural Gas Industrial Consumers by Type of Service and State, 2008-2009 Alabama ...................... 2,476 281 2,757 2,789 271 3,060 Alaska.......................... 2 4 6 2 1 3 Arizona ........................ 285 98 383 274 116 390 Arkansas...................... 648 456 1,104 582 443 1,025 California ..................... 36,124 R 3,467 R 39,591 35,126 3,762 38,888 Colorado ...................... 341 4,475 4,816 297 4,787 5,084 Connecticut.................. 2,386 810 3,196 2,228 910 3,138 Delaware ..................... 96 69 165 39 73 112 Florida.......................... 161 288 449 123 484 607 Georgia........................ 1,003 1,887 2,890 956 1,298 2,254 Hawaii.......................... 27 0 27 25 0 25 Idaho............................ 108 91 199 109 78 187 Illinois...........................

428

Microsoft Word - table_21.doc  

Gasoline and Diesel Fuel Update (EIA)

8 8 Table 21. Number of Natural Gas Industrial Consumers by Type of Service and State, 2004-2005 Alabama ...................... 2,495 R 304 R 2,799 2,487 299 2,786 Alaska.......................... 6 4 10 7 5 12 Arizona ........................ 328 86 414 319 106 425 Arkansas...................... 782 R 441 R 1,223 671 449 1,120 California ..................... 39,426 2,061 41,487 38,150 2,076 40,226 Colorado ...................... 393 3,782 4,175 364 3,954 4,318 Connecticut.................. 2,625 845 3,470 2,618 819 3,437 Delaware ..................... 134 52 186 124 55 179 Florida.......................... R 174 224 R 398 159 273 432 Georgia........................ R 993 2,168 R 3,161 854 2,599 3,453 Hawaii.......................... 29 0 29 28 0 28 Idaho............................ 117 79 196 116 79 195

429

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 5. Number of Wells Producing Gas and Gas Condensate by State and the Gulf of Mexico, December 31, 2001-2005 Alabama .......................................................... 4,597 4,803 5,157 5,526 5,523 Alaska.............................................................. 170 165 195 224 227 Arizona ............................................................ 8 7 9 6 6 Arkansas.......................................................... 4,825 6,755 7,606 3,460 2,878 California ......................................................... 1,244 1,232 1,249 1,272 1,356 Colorado .......................................................... 22,117 23,554 18,774 16,718 22,691 Gulf of Mexico.................................................. 3,271 3,245 3,039 2,781 2,123 Illinois...............................................................

430

Microsoft Word - table_08.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 8. Supplemental Gas Supplies by State, 2006 (Million Cubic Feet) Colorado ...................... 0 11 0 0 6,138 6,149 Connecticut.................. 0 91 0 0 0 91 Delaware ..................... 0 * 0 0 0 * Georgia........................ 0 3 0 0 0 3 Hawaii.......................... 2,610 3 0 0 0 2,613 Illinois........................... 0 13 0 0 0 13 Indiana......................... 0 2 0 0 1,640 1,642 Iowa ............................. 0 * 0 0 46 46 Kentucky...................... 0 3 0 0 0 3 Maryland ...................... 0 41 0 0 0 41 Massachusetts............. 0 51 0 0 0 51 Minnesota .................... 0 13 0 0 0 13 Missouri ....................... 0 78 0 0 0 78 Nebraska ..................... 0 19 0 0 0 19 New Hampshire ........... 0 92 0 0 0 92 New Jersey .................. 0 0 0 0 175 175 New York .....................

431

Microsoft Word - table_05.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 5. Number of Wells Producing Gas and Gas Condensate by State and the Gulf of Mexico, December 31, 2002-2006 Alabama .......................................................... 4,803 5,157 5,526 5,523 6,227 Alaska.............................................................. 165 195 224 227 231 Arizona ............................................................ 7 9 6 6 7 Arkansas.......................................................... 6,755 7,606 3,460 R 3,462 3,811 California ......................................................... 1,232 1,249 1,272 1,356 1,451 Colorado .......................................................... 23,554 18,774 16,718 22,691 20,568 Gulf of Mexico.................................................. 3,245 3,039 2,781 2,123 1,946 Illinois...............................................................

432

2003 CBECS Detailed Tables: Summary  

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

2003 Detailed Tables 2003 Detailed Tables 2003 CBECS Detailed Tables most recent available Released: September 2008 Building Characteristics | Consumption & Expenditures | End-Use Consumption In the 2003 CBECS, the survey procedures for strip shopping centers and enclosed malls ("mall buildings") were changed from those used in previous surveys, and, as a result, mall buildings are now excluded from most of the 2003 CBECS tables. Therefore, some data in the majority of the tables are not directly comparable with previous CBECS tables, all of which included mall buildings. Some numbers in the 2003 tables will be slightly lower than earlier surveys since the 2003 figures do not include mall buildings. See "Change in Data Collection Procedures for Malls" for a more detailed explanation.

433

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

DOE Green Energy (OSTI)

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.

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

2006-11-01T23:59:59.000Z

434

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

Gasoline and Diesel Fuel Update (EIA)

- - 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...

435

Engineering Tables: Polymeric Materials  

Science Conference Proceedings (OSTI)

Table 6   Chemical resistance ratings for selected plastics and metals...B A A C C C � B C A A A Miscellaneous Detergents Laundry and dishwashing detergents, soaps A � A � B � � A A A � B A � A A B Inorganic salts Zinc chloride, cupric sulfate B B B � A � � A � A � � A A B B B Oxidizing agents, strong 30% hydrogen peroxide, bromine (wet) C C C � C � B B � C � � A � C C C...

436

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

Below are historical data tables from the Residential Energy Consumption Survey (RECS). These tables cover the total number of households ...

437

CARINA Data Table  

NLE Websites -- All DOE Office Websites (Extended Search)

Cruise Summary Table and Data Cruise Summary Table and Data Users are requested to report any data or metadata errors in the CARINA cruise files to CDIAC. Parameter units in all CARINA data files are in CCHDO exchange format. No Cruise Namea (Alias) Areab Number of Stations Datec Ship Chief Scientist Carbon PI Oxygen Nutrients TCO2d TALK pCO2e pHf CFC Other Measurements Data Files 1 06AQ19920929g (06ANTX_6) (See map) 2 118 9/29-11/30/1992 Polarstern V. Smetacek M. Stoll, J. Rommets, H. De Baar, D. Bakker 62 114h 53 54i U C 0 Choloroa,b Fluorescence, NH4 Data Files (Metadata) 2 06AQ19930806 (06ARKIX_4) (See map) 4 64 8/6-10/5/1993 Polarstern D.K. Fütterer L. Anderson 64 63 63j, bb 0 0 0 59he 3H, 3He, 18O, 14C, 85Kr, Bak Data Files

438

Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

Supplement Tables to the AEO99 Supplement Tables to the AEO99 bullet1.gif (843 bytes) Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage furtherinfo.gif (5474 bytes) The Annual Energy Outlook 1999 (AEO99) was prepared by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, under the direction of Mary J. Hutzler (mhutzler@eia.doe.gov, 202/586-2222). General questions may be addressed to Arthur T. Andersen (aanderse@eia.doe.gov, 202/586-1441), Director of the International, Economic, and Greenhouse Gas Division; Susan H. Holte (sholte@eia.doe.gov, 202/586-4838), Director of the Demand and Integration Division; James M. Kendell (jkendell@eia.doe.gov, 202/586-9646), Director of the Oil and Gas Division; Scott Sitzer (ssitzer@eia.doe.gov, 202/586-2308), Director of the Coal and Electric Power Division; or Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Modeling Analyst. Detailed questions about the forecasts and related model components may be addressed to the following analysts:

439

Appendix B: Summary Tables  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix B: Summary Tables Table B1. The BCES and alternative cases compared to the Reference case, 2025 2009 2025 Ref Ref BCES All Clean Partial Credit Revised Baseline Small Utilities Credit Cap 2.1 Credit Cap 3.0 Stnds + Cds Generation (billion kilowatthours) Coal 1,772 2,049 1,431 1,305 1,387 1,180 1,767 1,714 1,571 1,358 Petroleum 41 45 43 44 44 44 45 45 45 43 Natural Gas 931 1,002 1,341 1,342 1,269 1,486 1,164 1,193 1,243 1,314 Nuclear 799 871 859 906 942 889 878 857 843 826 Conventional Hydropower 274 306 322 319 300 321 316 298 312 322 Geothermal 15 25 28 25 31 24 27 22 23 24 Municipal Waste 18 17 17 17 17 17 17 17 17 17 Wood and Other Biomass 38 162 303 289 295 301 241 266

440

Estimating the economic impact of climate change on the freshwater sportsfisheries of the Northeastern United States  

SciTech Connect

This study links models of global climate circulation, ecology, and economic valuation (hedonic travel cost and random utility models) to value the impact of global warming on freshwater sportfishing in the Northeast. An origin-specific linear random utility model (RUM) is introduced. The results of the RUM are shown to be comparable to those of a hedonic travel cost model. A doubling of atmospheric carbon dioxide is predicted to generate between a $4.6 million loss and a $20.5 million net benefit for the Northeastern United States, depending on the climate scenario.

Pendleton, L. [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Economics; Mendelsohn, R. [Yale Univ., New Haven, CT (United States). School of Forestry and Environmental Studies

1997-06-06T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

A Performance Analysis of Transposition-Table-Driven Work Scheduling in Distributed Search  

Science Conference Proceedings (OSTI)

This paper discusses a new work-scheduling algorithm for parallel search of single-agent state spaces, called Transposition-Table-Driven Work Scheduling, that places the transposition table at the heart of the parallel work scheduling. The scheme results ... Keywords: Distributed search, single-agent search, work pushing, Transposition-Table-Driven Work Scheduling (TDS), IDA*

John W. Romein; Henri E. Bal; Jonathan Schaeffer; Aske Plaat

2002-05-01T23:59:59.000Z

442

Analytical Estimation of CO2 Storage Capacity in Depleted Oil and Gas Reservoirs Based on Thermodynamic State Functions  

E-Print Network (OSTI)

Numerical simulation has been used, as common practice, to estimate the CO2 storage capacity of depleted reservoirs. However, this method is time consuming, expensive and requires detailed input data. This investigation proposes an analytical method to estimate the ultimate CO2 storage in depleted oil and gas reservoirs by implementing a volume constrained thermodynamic equation of state (EOS) using the reservoir?s average pressure and fluid composition. This method was implemented in an algorithm which allows fast and accurate estimations of final storage, which can be used to select target storage reservoirs, and design the injection scheme and surface facilities. Impurities such as nitrogen and carbon monoxide, usually contained in power plant flue gases, are considered in the injection stream and can be handled correctly in the proposed algorithm by using their thermodynamic properties into the EOS. Results from analytical method presented excellent agreement with those from reservoir simulation. Ultimate CO2 storage capacity was predicted with an average difference of 1.3%, molar basis, between analytical and numerical methods; average oil, gas, and water saturations were also matched. Additionally, the analytical algorithm performed several orders of magnitude faster than numerical simulation, with an average of 5 seconds per run.

Valbuena Olivares, Ernesto

2011-12-01T23:59:59.000Z

443

The human carbon budget: an estimate of the spatial distribution of metabolic carbon consumption and release in the United States  

E-Print Network (OSTI)

we estimate that anaerobic digestion of human waste producesper yr associated with anaerobic digestion. This estimate is

West, Tristram O.; Marland, Gregg; Singh, Nagendra; Bhaduri, Budhendra L.; Roddy, Adam B.

2009-01-01T23:59:59.000Z

444

1997 Housing Characteristics Tables Housing Unit Tables  

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

Million U.S. Households; 45 pages, 128 kb) Million U.S. Households; 45 pages, 128 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 1997 4 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 1997 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 1997 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 1997 3 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 1997 3 HC1-6a. Housing Unit Characteristics by Type of Rented Housing Unit, Million U.S. Households, 1997 3 HC1-7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 1997 4

445

EIA Table E.1C  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA - - Table Posted: December 19, 2008

446

Characteristics of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997... fairly straightforward because each row represents an assignment of truth values ... A truth table is a standard binary ordering of 2-partitions.

447

1993 Housing Characteristics -Detailed Tables  

U.S. Energy Information Administration (EIA)

Within each section, except for Air-conditioning and Light Usage, ... the Light Usage section includes a table that describes indoor light usage by ...

448

2011 22 Table of for  

U.S. Energy Information Administration (EIA)

2011 60 U.S. Energy Information Administration | Natural Gas Annual Table 22. Number of natural gas industrial consumers by type of ...

449

Faculty Search Table of Contents  

E-Print Network (OSTI)

October 28 2009 Faculty Search Committee Procedures Handbook #12;#12;#12;Table of Contents........................................................................................................................7 Charge to Search Committee................................................................................................................................8 Role of the Search Committee Chair

New Mexico, University of

450

March 2012 Table of Contents  

Science Conference Proceedings (OSTI)

March 2012 Table of Contents Inform Magazine Inform Archives News March 2012 World supplies of rapeseed and canola likely to remain tight in the 201

451

Table G3  

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

1905-0194 1905-0194 Expiration Date: 07/31/2013 May 28, 2010 Voluntary Reporting of Greenhouse Gases 14 Table G3. Decision Chart for a Start Year Report for a Large Emitter Intending To Register Reductions Report Characteristics Reporting Requirements Schedule I Schedule II (For Each Subentity) Schedule III Schedule IV Sec. 1 Sec. 2 Sec. 3 Sec. 4 Sec. 1 Sec. 2 & Add. A Sec. 3 Sec. 1 Sec. 2 Sec. 1 Sec. 2 Part A Part B Part C Part D Part E Part A Part B Part C Independent Verification? All A- or B-Rated Methods? Foreign Emissions? Entity-Wide Reductions Only? Entity Statement Aggregated Emissions by Gas (Domestic and Foreign) † Emissions Inventory by Source

452

TABLE OF CONTENTS  

NLE Websites -- All DOE Office Websites (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 sextupole magnets out of 218 have arrived. All main magnets will arrive by December. The additional mechanical and electrical checks of the magnets at SSRL have been successful. Only minor mechanical problems were found and corrected. The prototype

453

Table of Contents  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

U 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 Positive Outcomes ...................................................................................................... 3 Reports Investigative Outcomes .............................................................................................. 6 Audits ......................................................................................................................... 8

454

TABLE OF CONTENTS  

NLE Websites -- All DOE Office Websites (Extended Search)

October October 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 schedule. This results from a highly successful collaboration with our colleagues at the Institute of High Energy Physics (IHEP) in Beijing. The production of corrector magnets is still in progress with completion scheduled for May 2002.

455

TABLE OF CONTENTS  

NLE Websites -- All DOE Office Websites (Extended Search)

2 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 are provided in Section B. Magnets - As of the end of this quarter (March 31, 2002), the status of magnet fabrication is as follows: Magnet Type Number Received % of Total Received Dipoles 40 100% Quadrupoles 102 100% Sextupoles 76 100%

456

Reviews, Tables, and Plots  

NLE Websites -- All DOE Office Websites (Extended Search)

4 Review of Particle Physics 4 Review of Particle Physics Please use this CITATION: S. Eidelman et al. (Particle Data Group), Phys. Lett. B 592, 1 (2004) (bibtex) Standalone figures are now available for these reviews. Categories: * Constants, Units, Atomic and Nuclear Properties * Standard Model and Related Topics * Particle Properties * Hypothetical Particles * Astrophysics and Cosmology * Experimental Methods and Colliders * Mathematical Tools * Kinematics, Cross-Section Formulae, and Plots * Authors, Introductory Text, History plots PostScript help file PDF help file Constants, Units, Atomic and Nuclear Properties Physical constants (Rev.) PS PDF (1 page) Astrophysical constants (Rev.) PS PDF (2 pages) International System of units (SI) PS PDF (2 pages) Periodic table of the elements (Rev.) errata PS PDF (1 page)

457

Engineering Tables: Reinforcement Materials  

Science Conference Proceedings (OSTI)

Table 1   Properties of key reinforcement materials...3 GPa 10 6 psi GPa 10 6 psi GPa 10 6 psi Carbon fiber (pitch) E = 55 � 10 6 psi 2.0 0.072 380 55 � � 190 28 E = 75 � 10 6 psi 2.0 0.072 520 75 � � 260 38 E = 100 � 10 6 psi 2.2 0.078 690 100 5 0.7 314 46 E = 120 � 10 6 psi 2.2 0.078 830 120 5 0.7 377 55 E = 130 � 10 6 psi 2.2 0.078 895 130 5 0.7 407...

458

Microsoft Word - table_25.doc  

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

8 8 Table 25. Average price of natural gas delivered to residential and commercial sector consumers by local distribution and marketers in selected states, 2011-2012 (dollars per thousand cubic feet) Georgia 11.98 16.38 15.72 15.1 12.47 16.82 16.23 13.5 New York 13.52 14.22 13.71 72.4 12.72 13.59 12.97 71.2 Ohio 10.32 11.09 10.78 40.8 8.75 10.42 9.91 30.9 Residential 2011 2012 State Local Distribution Company Average Price a Marketer Average Price b Combined Average Price c Percent Sold by Local Distribution Company Local Distribution Company Average Price a Marketer Average Price b Combined Average Price c Percent Sold by Local Distribution Company a Price derived from Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition."

459

Microsoft Word - table_07.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Created on: 1/7/2014 9:25:31 AM Table 7. Marketed production of natural gas in selected states and the Federal Gulf of Mexico, 2008-2013 (million cubic feet) Year and Month Alaska Louisiana New Mexico Oklahoma Texas Wyoming Other a States Federal Gulf of Mexico U.S. Total 2008 Total 398,442 1,377,969 1,446,204 1,886,710 6,960,693 2,274,850 4,452,843 2,314,342 21,112,053 2009 Total 397,077 1,548,607 1,383,004 1,901,556 6,818,973 2,335,328 4,834,474 2,428,916 21,647,936 2010 Total 374,226 2,210,099 1,292,185 1,827,328 6,715,294 2,305,525 5,412,154 2,245,062 22,381,873 2011 January 31,027 224,410 100,352 154,940 588,714 178,331 496,362 178,597 1,952,732 February 31,076 208,495 88,553

460

EIA'S Natural Gas Residential Programs by State  

U.S. Energy Information Administration (EIA)

Marketer List: Marketer Summary Table: ... State Public Utility Commission Web Sites. Status of State Electric Industry Restructuring Activity.

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

A Model to Estimate the Time of Observation Bias Associated with Monthly Mean Maximum, Minimum and Mean Temperatures for the United States  

Science Conference Proceedings (OSTI)

Hourly data for 79 stations in the United States are used to develop an empirical model which can be used to estimate the time of observation bias associated with different observation schedules. The model is developed for both maximum and ...

Thomas R. Karl; Claude N. Williams Jr.; Pamela J. Young; Wayne M. Wendland

1986-02-01T23:59:59.000Z

462

RSE Table 4.1 Relative Standard Errors for Table 4.1  

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

1 Relative Standard Errors for Table 4.1;" 1 Relative Standard Errors for Table 4.1;" " Unit: Percents." " "," " " "," " "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",4,5,25,20,5,27,6,0,17 311221," Wet Corn Milling",1,0,0,1,3,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0 311421," Fruit and Vegetable Canning",8,11,46,45,8,57,0,0,3

463

RSE Table 5.8 Relative Standard Errors for Table 5.8  

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

8 Relative Standard Errors for Table 5.8;" 8 Relative Standard Errors for Table 5.8;" " Unit: Percents." " ",," ","Distillate"," "," " " ","Net Demand",,"Fuel Oil",,,"Coal" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2,3,6,2,3,9 "Indirect Uses-Boiler Fuel",6,4,14,2,9,13 " Conventional Boiler Use",12,5,14,2,10,8 " CHP and/or Cogeneration Process",4,2,6,3,2,18

464

RSE Table 5.6 Relative Standard Errors for Table 5.6  

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

6 Relative Standard Errors for Table 5.6;" 6 Relative Standard Errors for Table 5.6;" " Unit: Percents." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural","LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2,2,3,6,2,3,9,2 "Indirect Uses-Boiler Fuel",0,11,4,14,2,9,13,0

465

RSE Table 7.6 Relative Standard Errors for Table 7.6  

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

6 Relative Standard Errors for Table 7.6;" 6 Relative Standard Errors for Table 7.6;" " Unit: Percents." " "," " " "," ",,,,,,,,," " "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke" "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" 311,"Food",4,5,25,20,5,27,6,0,20 311221," Wet Corn Milling",1,0,0,1,3,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0 311421," Fruit and Vegetable Canning",8,11,42,45,8,57,0,0,4

466

RSE Table 10.11 Relative Standard Errors for Table 10.11  

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

1 Relative Standard Errors for Table 10.11;" 1 Relative Standard Errors for Table 10.11;" " Unit: Percents." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)" ,,"Total United States" 311,"Food",20,32,21,0,16,68,65,73,0 311221," Wet Corn Milling",0,0,0,0,0,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0

467

RSE Table 2.1 Relative Standard Errors for Table 2.1  

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

2.1 Relative Standard Errors for Table 2.1;" 2.1 Relative Standard Errors for Table 2.1;" " Unit: Percents." " "," " " "," " "NAICS"," "," ","Residual","Distillate","Natural ","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" 311,"Food",31,0,91,35,0,0,0,47 311221," Wet Corn Milling",0,0,0,0,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0 311421," Fruit and Vegetable Canning",1,0,0,0,0,0,0,8

468

RSE Table 10.10 Relative Standard Errors for Table 10.10  

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

0 Relative Standard Errors for Table 10.10;" 0 Relative Standard Errors for Table 10.10;" " Unit: Percents." ,,"Coal",,,"Alternative Energy Sources(b)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Fuel Oil","LPG","Other(e)" ,,"Total United States" 311,"Food",6,18,5,0,20,85,29,20,0 311221," Wet Corn Milling",0,0,0,0,0,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0

469

RSE Table 10.13 Relative Standard Errors for Table 10.13  

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

3 Relative Standard Errors for Table 10.13;" 3 Relative Standard Errors for Table 10.13;" " Unit: Percents." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)" ,,"Total United States" 311,"Food",8,17,8,20,21,43,34,35,37,29 311221," Wet Corn Milling",0,0,0,0,0,0,0,0,0,0

470

RSE Table 5.7 Relative Standard Errors for Table 5.7  

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

7 Relative Standard Errors for Table 5.7;" 7 Relative Standard Errors for Table 5.7;" " Unit: Percents." " ",,,"Distillate" " ","Net Demand",,"Fuel Oil",,,"Coal" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2,3,6,2,4,9 "Indirect Uses-Boiler Fuel",6,4,10,2,10,13 " Conventional Boiler Use",12,5,14,2,10,8 " CHP and/or Cogeneration Process",4,2,6,3,2,19

471

1997 Housing Characteristics Tables Housing Unit Tables  

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

Percent of U.S. Households; 45 pages, 121 kb) Percent of U.S. Households; 45 pages, 121 kb) Contents Pages HC1-1b. Housing Unit Characteristics by Climate Zone, Percent of U.S. Households, 1997 4 HC1-2b. Housing Unit Characteristics by Year of Construction, Percent of U.S. Households, 1997 4 HC1-3b. Housing Unit Characteristics by Household Income, Percent of U.S. Households, 1997 4 HC1-4b. Housing Unit Characteristics by Type of Housing Unit, Percent of U.S. Households, 1997 3 HC1-5b. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 3 HC1-6b. Housing Unit Characteristics by Type of Rented Housing Unit, Percent of U.S. Households, 1997 3 HC1-7b. Housing Unit Characteristics by Four Most Populated States, Percent of U.S. Households, 1997 4

472

Help:Tables | Open Energy Information  

Open Energy Info (EERE)

Tables Tables Jump to: navigation, search Tables may be authored in wiki pages using either XHTML table elements directly, or using wikicode formatting to define the table. XHTML table elements and their use are well described on various web pages and will not be discussed here. The benefit of wikicode is that the table is constructed of character symbols which tend to make it easier to perceive the table structure in the article editing view compared to XHTML table elements. As a general rule, it is best to avoid using a table unless you need one. Table markup often complicates page editing. Contents 1 Wiki table markup summary 2 Basics 2.1 Table headers 2.2 Caption 3 XHTML attributes 3.1 Attributes on tables 3.2 Attributes on cells 3.3 Attributes on rows 3.4 HTML colspan and rowspan

473

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

474

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

475

Table 5.2 Crude Oil Production and Crude Oil Well ...  

U.S. Energy Information Administration (EIA)

Table 5.2 Crude Oil Production and Crude Oil Well Productivity, 1954-2011: Year: Crude Oil Production: Crude Oil Well 1 Productivity: 48 States 2: ...

476

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

Gasoline and Diesel Fuel Update (EIA)

Information Administration Petroleum Marketing Annual 1995 233 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States (Cents per Gallon...

477

Table A6. Approximate Heat Rates for Electricity, and Heat Content ...  

U.S. Energy Information Administration (EIA)

State energy information, detailed and overviews. Maps. ... Table A6. Approximate Heat Rates for Electricity, and Heat Content of Electricity, 1949-2011

478

Table D1. Population, U.S. Gross Domestic Product, and ...  

U.S. Energy Information Administration (EIA)

Table D1. Population, U.S. Gross Domestic Product, and Implicit Price Deflator, 1949-2011: Year: Population: U.S. Gross Domestic Product: United States 1

479

table14.xls  

Gasoline and Diesel Fuel Update (EIA)

Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 AEO 1993 1.85 1.94 2.09 2.30 2.44 2.60 2.85 3.12 3.47 3.84 4.31 4.81 5.28

480

ARM - Instrument - s-table  

NLE Websites -- All DOE Office Websites (Extended Search)

govInstrumentss-table govInstrumentss-table Documentation S-TABLE : Instrument Mentor Monthly Summary (IMMS) reports S-TABLE : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Stabilized Platform (S-TABLE) Instrument Categories Ocean Observations For ship-based deployments, some instruments require actively stabilized platforms to compensate for the ship's motion, especially rotations around the long axis of the ship (roll), short axis (pitch), and, for some instruments, vertical axis (yaw). ARM currently employs two types of stabilized platforms: one electrically controlled for lighter instruments that includes yaw control (dubbed RPY for Roll, Pitch, Yaw) and one

Note: This page contains sample records for the topic "table state estimated" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Table of Contents  

Science Conference Proceedings (OSTI)

... The workshop attracted a diverse and wide-ranging mix of over 250 ... Rachel Levinson Arizona State University ... Dale Lombardo GE Energy ...

2012-06-22T23:59:59.000Z

482

Table of Contents  

Science Conference Proceedings (OSTI)

... Arizona State University ... close data gap; global climate modeling • Energy: Energy use and ... for scattering and absorption of mixed particles, non ...

2012-01-12T23:59:59.000Z

483

Table of Contents...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

120(h) of CERCLA; and any other Federal, State, or local regulations have been met for residual radioactive material and any other hazardous substances. This applies whether...

484

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

SciTech Connect

The U.S. Department of Energy`s (DOE) Weatherization Assistance Program (the Program) is implemented in all fifty states. The Program strives to increase the energy efficiency of dwellings occupied by low-income persons in order to reduce their energy consumption, lower their fuel bills, increase the comfort of their homes, and safeguard their health. It targets vulnerable groups including the elderly, people with disabilities, and families with children. The most recent comprehensive National Evaluation of the Program was based on an analysis of changes in pre- and post-weatherization energy consumption for homes weatherized in 1989. The National Evaluation estimated average savings for several fuel types. For dwellings that heated primarily with natural gas, which made up over 50% of the sample, average savings per dwelling were 17.3 MBtu, which was 18.3% of space heating consumption, or 13.0% of the total consumption of natural gas for all end users.

Berry, L.

1997-08-01T23:59:59.000Z

485

TABLE OF CONTENTS  

NLE Websites -- All DOE Office Websites (Extended Search)

Turbines The Gas Turbine Handbook The Gas Turbine Handbook TABLE OF CONTENTS Acknowledgements Updated Author Contact Information Introduction - Rich Dennis, Turbines Technology Manager 1.1 Simple and Combined Cycles - Claire Soares 1.1-1 Introduction 1.1-2 Applications 1.1-3 Applications versatility 1.1-4 The History of the Gas Turbine 1.1-5 Gas Turbine, Major Components, Modules, and systems 1.1-6 Design development with Gas Turbines 1.1-7 Gas Turbine Performance 1.1-8 Combined Cycles 1.1-9 Notes 1.2 Integrated Coal Gasification Combined Cycle (IGCC) - Massod Ramezan and Gary Stiegel 1.2-1 Introduction 1.2-2 The Gasification Process 1.2-3 IGCC Systems 1.2-4 Gasifier Improvements 1.2-5 Gas Separation Improvements 1.2-6 Conclusions 1.2-7 Notes 1.2.1 Different Types of Gasifiers and Their Integration with Gas Turbines - Jeffrey Phillips

486

MECS Fuel Oil Tables  

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

: Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas : Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas Year Distillate Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 185 148 1224 3.4% 1994 152 125 1020 3.1% Residual Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 505 290 1577 16.7% 1994 441 241 1249 19.8% Natural Gas (TBtu) Actual Minimum Maximum Discretionary Rate 1985 4656 2702 5233 77.2% 1994 6141 4435 6758 73.4% Source: Energy Information Administration, Office of Energy Markets and End Use, 1985 and 1994 Manufacturing Energy Consumption Surveys. Table 2: Establishments That Actually Switched Between Natural Gas and Residual Fuel Oil Type of Switch Number of Establishments in Population Number That Use Original Fuel Percentage That Use Original Fuel Number That Can Switch to Another Fuel Percentage That Can Switch to Another Fuel Number That Actually Made a Switch Percentage That Actually Made a Switch

487

TABLE OF CONTENTS  

E-Print Network (OSTI)

“This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability nor responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.” This report has been reproduced directly from the best available copy.

unknown authors

2002-01-01T23:59:59.000Z

488

Microsoft Word - table_A2.doc  

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

4 4 Figure A1. Natural gas processing plant capacity in the United States, 2013 2012 Table A2. Natural gas processing plant capacity, by state, 2013 (million cubic feet per day) Alabama 1,403 Arkansas 24 California 926 Colorado 5,450 Florida 90 Illinois 2,100 Kansas 1,818 Kentucky 240 Louisiana 10,737 Michigan 479 Mississippi 1,123 State Plant Capacity Notes: Coverage includes the Lower 48 States (excluding Alaska and Hawaii). Sources: Energy Information Administration (EIA), Form EIA-757, "Natural Gas Processing Plant Survey." State Plant Capacity Montana 161 New Mexico 3,149 North Dakota 660 Ohio 10 Oklahoma 4,976 Pennsylvania 369

489

Microsoft Word - table_03.doc  

Gasoline and Diesel Fuel Update (EIA)

8 8 Table 3. Gross Withdrawals and Marketed Production of Natural Gas by State and the Gulf of Mexico, 2004-2008 (Million Cubic Feet) 2004 Total ............. 17,885,247 6,084,431 NA 23,969,678 3,701,656 96,408 654,124 19,517,491 926,600 18,590,891 2005 Total ............. 17,471,847 5,984,975 NA 23,456,822 3,699,535 119,097 711,095 18,927,095 876,497 18,050,598 2006 Total ............. 17,995,554 5,539,464 NA 23,535,018 3,264,929 129,469 730,946 19,409,674 906,069 18,503,605 2007 Total ............. 17,065,375 R 5,818,405 1,779,875 R 24,663,656 R 3,662,685 R 143,457 R 661,168 R 20,196,346 930,320 R 19,266,026 2008 Total ............. 18,011,151 5,844,798 1,898,399 25,754,348 3,638,563 166,588 709,681 21,239,516 953,451 20,286,065 Alabama Total ...... 159,912 6,368 111,273 277,553 475 1,801 17,394

490

Microsoft Word - table_04.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 4. Offshore Gross Withdrawals of Natural Gas by State and the Gulf of Mexico, 2004-2008 (Million Cubic Feet) 2004 Total ................ 401,662 279,249 680,911 3,214,488 840,852 4,055,340 4,736,252 Alabama.................. 165,630 0 165,630 NA NA NA 165,630 Alaska..................... 73,457 260,667 334,125 0 0 0 334,125 California................. 0 6,966 6,966 850 53,805 54,655 61,622 Gulf of Mexico......... 0 0 0 3,213,638 787,047 4,000,685 4,000,685 Louisiana ................ 117,946 11,299 129,245 NA NA NA 129,245 Texas...................... 44,630 316 44,946 NA NA NA 44,946 2005 Total ................ 363,652 321,019 684,671 2,474,076 730,830 3,204,906 3,889,577 Alabama.................. 152,902 0 152,902 NA NA NA 152,902 Alaska..................... 74,928 305,641 380,568

491

Microsoft Word - table_02.doc  

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

5 5 Created on: 12/12/2013 1:57:32 PM Table 2. Natural gas consumption in the United States, 2008-2013 (billion cubic feet) Delivered to Consumers Year and Month Lease and Plant Fuel a Pipeline and Distribution Use b Residential Commercial Industrial Electric Power Vehicle Fuel Total Total Consumption 2008 Total 1,220 648 4,892 3,153 6,670 6,668 26 21,409 23,277 2009 Total 1,275 670 4,779 3,119 6,167 6,873 27 20,965 22,910 2010 Total 1,286 674 4,782 3,103 6,826 7,387 29 22,127 24,087 2011 January 107 R 83 970 528 R 659 540 3 R 2,699 R 2,889 February 97 70 R 768 432 R 600 484 2 R 2,285 R 2,452 March 111 63 R 595 R 361 R 616 482 3 R 2,056 R 2,230 April 109 51 R 341 R 232 R 569 521 R 2 R 1,665 R 1,825 May 112 46 R 205 R 166 R

492

Microsoft Word - table_14.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 Table 14. Underground Natural Gas Storage Capacity by State, December 31, 2008 (Capacity in Million Cubic Feet) Alabama ............. 1 11,900 15,900 0 0 0 1 9,000 11,000 2 20,900 26,900 Arkansas............. 0 0 0 0 0 0 2 14,500 22,000 2 14,500 22,000 California ............ 0 0 0 0 0 0 12 283,796 498,705 12 283,796 498,705 Colorado ............. 0 0 0 0 0 0 8 42,579 95,068 8 42,579 95,068 Illinois.................. 0 0 0 18 244,900 874,384 10 51,418 103,606 28 296,318 977,989 Indiana................ 0 0 0 12 19,978 81,991 10 12,791 32,946 22 32,769 114,937 Iowa .................... 0 0 0 4 87,350 284,747 0 0 0 4 87,350 284,747 Kansas................ 1 375 931 0 0 0 18 118,885 281,291 19 119,260 282,221 Kentucky............. 0 0 0 3 6,629 9,567 20 94,598 210,792 23 101,227 220,359 Louisiana ............

493

Microsoft Word - table_13.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Table 13. Additions to and Withdrawals from Gas Storage by State, 2006 (Million Cubic Feet) Alabama ................... 20,604 12,127 8,477 704 698 7 8,484 Arkansas................... 4,789 4,081 707 45 57 -12 695 California .................. 168,957 182,247 -13,290 92 76 16 -13,274 Colorado ................... 35,836 38,506 -2,670 0 0 0 -2,670 Connecticut............... 0 0 0 532 246 286 286 Delaware .................. 0 0 0 68 68 * * Georgia..................... 0 0 0 7,705 1,963 5,742 5,742 Idaho......................... 0 0 0 415 275 140 140 Illinois........................ 242,754 235,590 7,163 238 358 -119 7,044 Indiana...................... 23,598 20,707 2,891 1,447 1,172 275 3,165 Iowa .......................... 68,750 65,187 3,563 2,438 1,540 899 4,462 Kansas...................... 103,105 99,698 3,407

494

Microsoft Word - table_04.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table 4. Offshore Gross Withdrawals of Natural Gas by State and the Gulf of Mexico, 2001-2005 (Million Cubic Feet) 2001 Total ................ 508,374 170,206 678,580 4,146,993 989,969 5,136,962 5,815,542 Alabama.................. 200,862 0 200,862 NA NA NA 200,862 Alaska..................... 113,870 149,067 262,937 0 0 0 262,937 California................. 0 7,262 7,262 3,913 67,034 70,947 78,209 Gulf of Mexico......... 0 0 0 4,143,080 922,935 5,066,015 5,066,015 Louisiana ................ 140,358 13,513 153,871 NA NA NA 153,871 Texas...................... 53,285 364 53,649 NA NA NA 53,649 2002 Total ................ 485,126 211,778 696,905 3,722,249 893,193 4,615,443 5,312,348 Alabama.................. 202,002 0 202,002 NA NA NA 202,002 Alaska..................... 102,972 190,608 293,580

495

Microsoft Word - table_25.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table 25. Average Price of Natural Gas Delivered to Residential and Commercial Sector Consumers by Local Distribution and Marketers in Selected States, 2009-2010 (Dollars per Thousand Cubic Feet) Florida................................... 20.22 R 18.41 20.18 97.7 17.85 19.44 17.89 97.9 Georgia................................. 13.20 16.81 16.30 14.1 12.18 15.67 15.17 14.3 Maryland ............................... 13.09 R 16.80 13.73 82.8 12.20 13.51 12.44 81.7 New Jersey ........................... 14.49 R 16.52 14.54 97.7 12.77 14.87 12.84 96.6 New York .............................. 14.96 R 15.38 15.05 77.1 13.87 14.55 14.04 74.6 Ohio ...................................... 11.64 13.64 12.68 47.8 10.28 11.80 11.13 43.7 Pennsylvania ........................ 14.56 R 16.46 14.74 90.9

496

Microsoft Word - table_22.doc  

Gasoline and Diesel Fuel Update (EIA)

3 3 Table 22. Average City Gate Price of Natural Gas in the United States, 2002-2006 (Dollars per Thousand Cubic Feet) Alabama ............................... 4.74 6.06 6.65 8.47 10.26 Alaska................................... 2.36 2.33 3.05 3.74 5.25 Arizona ................................. 3.77 4.87 5.63 7.32 7.67 Arkansas............................... 5.17 6.07 7.12 8.83 7.96 California .............................. 3.20 5.16 6.04 7.88 6.76 Colorado ............................... 2.72 4.11 5.02 6.10 7.61 Connecticut........................... 6.42 5.59 7.56 R 9.74 9.11 Delaware .............................. 5.37 5.88 6.13 8.32 8.84 Florida................................... 3.90 5.87 6.60 9.30 8.32 Georgia................................. 4.55 6.25 6.81 9.85 9.37 Hawaii...................................

497

Microsoft Word - table_20.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 20. Number of Natural Gas Residential Consumers by Type of Service and State, 2009-2010 Alabama ...................... R 785,005 0 R 785,005 768,921 0 768,921 Alaska.......................... 120,124 0 120,124 121,166 0 121,166 Arizona ........................ 1,130,047 0 1,130,047 1,138,448 0 1,138,448 Arkansas...................... 557,355 0 557,355 549,970 0 549,970 California ..................... R 10,454,747 R 56,203 R 10,510,950 10,469,734 72,850 10,542,584 Colorado ...................... 1,622,429 5 1,622,434 1,634,582 5 1,634,587 Connecticut.................. 488,614 735 489,349 489,380 805 490,185 Delaware ..................... 149,006 0 149,006 150,458 0 150,458 District of Columbia...... 129,738 13,698 143,436 130,048 14,103 144,151 Florida.......................... 659,725 14,365

498

Microsoft Word - table_20.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table 20. Number of Natural Gas Commercial Consumers by Type of Service and State, 2008-2009 Alabama ...................... R 65,193 120 R 65,313 67,468 128 67,596 Alaska.......................... 12,267 497 12,764 12,854 363 13,217 Arizona ........................ 57,481 105 57,586 57,022 169 57,191 Arkansas...................... 68,943 201 69,144 68,794 249 69,043 California ..................... 417,531 29,629 447,160 406,270 35,225 441,495 Colorado ...................... 144,543 176 144,719 145,455 169 145,624 Connecticut.................. 50,023 3,880 53,903 50,106 4,404 54,510 Delaware ..................... 12,619 84 12,703 12,726 113 12,839 District of Columbia...... 6,838 3,186 10,024 6,706 3,582 10,288 Florida.......................... 41,164 16,961 58,125 41,748 17,801 59,549

499

Microsoft Word - table_23.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Table 23. Average Price of Natural Gas Delivered to Consumers by State and Sector, 2009 (Dollars per Thousand Cubic Feet) Alabama ............................... 18.12 100.0 14.93 78.7 6.48 27.9 19.17 4.30 Alaska................................... 10.23 100.0 9.51 85.3 4.02 72.5 -- W Arizona ................................. 17.65 100.0 12.15 88.0 8.19 29.1 14.96 4.16 Arkansas............................... 13.39 100.0 10.71 59.4 8.47 3.6 -- 4.14 California .............................. 9.43 98.9 7.75 54.9 6.57 4.7 7.61 4.44 Colorado ............................... 8.80 100.0 7.56 94.8 6.57 0.5 9.12 4.27 Connecticut........................... 14.81 97.5 9.92 69.0 8.44 37.5 15.26 4.89 Delaware .............................. 17.79 100.0 15.87 53.5 13.99 2.1 14.12 W District of Columbia...............

500

Microsoft Word - table_13.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 Table 13. Additions to and Withdrawals from Gas Storage by State, 2010 (Million Cubic Feet) Alabama ................... 23,026 16,740 6,286 946 968 -21 6,264 Arkansas................... 4,672 4,368 304 42 40 2 306 California .................. 226,810 203,653 23,157 56 54 2 23,159 Colorado ................... 43,250 45,010 -1,760 0 0 0 -1,760 Connecticut............... 0 0 0 651 473 178 178 Delaware .................. 0 0 0 73 76 -2 -2 Georgia..................... 0 0 0 2,693 2,314 379 379 Idaho......................... 0 0 0 142 72 70 70 Illinois........................ 247,458 245,135 2,323 398 325 74 2,397 Indiana...................... 21,943 22,454 -511 1,983 1,148 835 324 Iowa .......................... 76,407 78,444 -2,037 1,458 1,312 146 -1,891 Kansas...................... 113,253 121,737 -8,484