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Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly

2

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 91.087 90.500 85 76.075 ...

3

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... 2013 Africa 117.064 119.114 123.609 ...

4

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 112.4 107.7 103.5 96.5 ...

5

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 1.907 1.909 2.101 2.197 ...

6

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Germany 135.7 139.1 124.7 153.7 ...

7

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; ...

8

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 10 10 11 11 11 10 ...

9

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan (s) (s) (s) (s ...

10

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... Total Renewable Electricity Net Generation ... Bosnia and Herzegovina 0.039 ...

11

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... Total Renewable Electricity Installed Capacity ... Bosnia and Herzegovina 2.411 ...

12

Statistics Canada Energy Data: 2005 - 2009 Statistics Canada...  

Open Energy Info (EERE)

statistics are published on the Statistics Canada website. The data includes: annual energy fuel consumption in the manufacturing sector, by fuel type and by subsectors (2005...

13

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0 0 0 0 0 0 0 ...

14

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | ...

15

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0 0 0 0 0 Kuwait ...

16

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 0.213 Kuwait 63.500 Lebanon 0 Oman ...

17

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | Stocks |

18

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 JAN FEB MAR APR MAY JUN ...

19

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 Middle East 802.157 Bahrain 0.125 ...

20

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. ... Total Primary Energy Consumption (Quadrillion Btu) Loading ...

Note: This page contains sample records for the topic "include energy statistics" 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

AMERICAN STATISTICAL ASSOCIATION COMMITTEE ON ENERGY STATISTICS  

U.S. Energy Information Administration (EIA)

american statistical association. committee on energy statistics . nicolas hengartner (2005-2006) chair; member (2001-2006) mark bernstein (2000-2005)

22

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 100.150 ... 180.028 Virgin Islands, U.S. 0 0 0 0 0 0 ...

23

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan -0.3 -0.1 0.1 0.7 0.6 0.2 ...

24

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan -0.3 -0.1 0.1 0.7 0.6 Kuwait ...

25

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.225 0.220 0.231 0.251 ...

26

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.214 0.225 0.220 0.231 ...

27

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 17.1 6.5 3.2 37.8 26.0 10.0 ...

28

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.220 0.213 0.213 0.213 ...

29

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 20.058 19.861 19.295 19.625 ...

30

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 41.1 35.6 30.8 28.1 30.8 31 ...

31

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 1Q 2Q 3Q 4Q 1Q 2Q ...

32

Key China Energy Statistics 2011  

E-Print Network (OSTI)

statistics. The China Sustainable Energy Program of theand the Energy Foundation Sustainable Energy Program with

Levine, Mark

2013-01-01T23:59:59.000Z

33

Key China Energy Statistics 2011  

E-Print Network (OSTI)

consumption - Urban Other Statistical Difference Source: National Bureau of Statistics (NBS), China Energyconsumption - Urban Statistical Difference Source: National Bureau of Statistics (NBS), China Energyconsumption - Urban Statistical Difference Source: National Bureau of Statistics (NBS), China Energy

Levine, Mark

2013-01-01T23:59:59.000Z

34

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; ... Imports of Crude Oil including Lease Condensate ... Sudan and South Sudan 0 ...

35

International Energy Statistics  

Gasoline and Diesel Fuel Update (EIA)

> Countries > International Energy Statistics > Countries > International Energy Statistics International Energy Statistics Petroleum Production| Annual Monthly/Quarterly Consumption | Annual Monthly/Quarterly Capacity | Bunker Fuels | Stocks | Annual Monthly/Quarterly Reserves | Imports | Annual Monthly/Quarterly Exports | CO2 Emissions | Heat Content Natural Gas All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content Coal All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content Electricity Generation | Consumption | Capacity | Imports | Net Imports | Exports | Distribution Losses | Heat Content Renewables Electricity Generation| Electricity Consumption | Biofuels Production | Biofuels Consumption | Heat Content Total Energy

36

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Total Non-Hydro Renewable Electricity Net Generation ...

37

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Statistics of the People's Republic of China, various years.China Energy Statistical Yearbook.Beijing: China Statistics Press. 2. Transformation National

Levine, Mark

2013-01-01T23:59:59.000Z

38

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. ... Jordan ...

39

Tennessee Energy Statistics Quarterly, third quarter 1984  

Science Conference Proceedings (OSTI)

The Tennessee Energy Statistics Quarterly presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. The report covers three substantive areas of the energy flow - production, consumption, and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity.

Finley, T.F. III; Hensley, B.D.; Trotter, T.

1984-01-01T23:59:59.000Z

40

Energy Statistics: Third Quarter, 1985  

Science Conference Proceedings (OSTI)

Third quarter energy statistics expand the coverage of gas prices from the wellhead to the end users by adding city gate gas prices. In addition to general energy production and consumption data, the report includes information on natural gas, gas liquids, oil, coal, peat, electricity, and uranium. A table of heating values and several tables summarizing US prices and business indicators complete the report. 87 tables.

Not Available

1985-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Germany 165.6 120.4 124.9 133.1 ...

42

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ;

43

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Seoul: Ministry of Commerce, Industry, and Energy, Korea Energy Economics Institute, various issues. Electricity. Agency of Statistics, Republic of Kazakhstan: ...

44

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 279 284 287 281 287 Greece ...

45

UK Energy Statistics: Electricity (2010) UK National Statistics...  

Open Energy Info (EERE)

Statistics: Electricity (2010) UK National Statistics on electricity generation through sales are presented in Chapter 5 (Electricity) of the Digest of UK Energy Statistics...

46

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ;

47

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; ...

48

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ;

49

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Jordan 0 0 0 0 0 ...

50

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Jordan 0 0 0 Kuwait 0 ...

51

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; Indicators. ... Total Oil Supply (Thousand Barrels Per Day) Loading ... Units Conversion ...

52

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... 2013 JAN FEB MAR APR ...

53

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Energy Intensity - Total Primary Energy Consumption per Dollar of GDP ... Jordan 14,329.544 13,433.919 14,116.659 13,602.945 ...

54

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; ... Sudan and South Sudan 76.6 87.4 85 ...

55

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat ...

56

Petroleum Gasoline & Distillate Needs Including the Energy ...  

U.S. Energy Information Administration (EIA)

Petroleum Gasoline & Distillate Needs Including the Energy Independence and Security Act (EISA) Impacts

57

Petroleum Gasoline & Distillate Needs Including the Energy ...  

U.S. Energy Information Administration (EIA)

Home > Petroleum > Analysis > Petroleum Gasoline & Distillate Needs Including the Energy Independence and Security Act (EISA) ...

58

Tennessee Energy Statistics Quarterly. Second quarter 1984  

SciTech Connect

The Tennessee Energy Statistics Quarterly presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. The report covers three substantive areas of the energy flow production, consumption, and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity. The Tennessee Energy Statistics Quarterly has been developed by the Tennessee Energy Data Base Program to serve as a supplement to the Energy Division publication - The Tennessee Energy Profiles: 1960-1980. Historical data reported in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution. 12 figures, 12 tables.

Finley, T.F. III; Hensley, B.D.; Trotter, T.

1985-01-01T23:59:59.000Z

59

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Per Capita Carbon Dioxide Emissions from the Consumption of Energy (Metric Tons of Carbon Dioxide per Person) Loading...

60

International Energy Statistics  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ;

Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; Country; Country: Tip: Hold ...

62

International Energy Statistics  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 0.168 0.256 0.362 0.496 ...

63

International Energy Statistics  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 0.020 1.600 3.500 3.300 ...

64

International Energy Statistics  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 5,232 4,586 5,159 2,982 ...

65

International Energy Statistics  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; ... Portugal 0.537 0.537 1.048 1.029 1.029 1.029 ...

66

Key China Energy Statistics 2011  

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

1 Title Key China Energy Statistics 2011 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

67

Key China Energy Statistics 2012  

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

2 Title Key China Energy Statistics 2012 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

68

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 3,883 ... 4,156.745 Virgin Islands, U.S. 0.978 0.987 0.855 0 ...

69

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 0.089 0.089 0.077 0.067 0.061 0.067 ...

70

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 43.2 41.0 41.1 35.6 30.8 28.1 ...

71

Tennessee energy statistics quarterly, fourth quarter 1983  

Science Conference Proceedings (OSTI)

County-level energy data are shown as well as state statistics on three substantive areas of the energy flow: production; consumption; and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity. Historical data in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution.

Finley, T.F. III; Hensley, B.D.; Trotter, T

1983-01-01T23:59:59.000Z

72

Monthly Energy Statistics  

Gasoline and Diesel Fuel Update (EIA)

July July 2003 E n e r g y P l u g : R e s i d e n t i a l E n e r g y C o n s u m p t i o n Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: July 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the

73

EU Energy Statistics 2010 (1990 - 2007)

These two datasets...  

Open Energy Info (EERE)

EU Energy Statistics 2010 (1990 - 2007)

These two datasets include energy statistics for the European Union (EU). The statistics are available from the 

74

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; Indicators. ... Production of Crude Oil including Lease Condensate (Thousand Barrels Per Day)

75

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 948.446 ... 978.020 986.215 994.888 Virgin Islands, U.S . 0.323 0.323 ...

76

BP Statistical Review of World Energy | Open Energy Information  

Open Energy Info (EERE)

Review of World Energy Review of World Energy Jump to: navigation, search Name BP Statistical Review of World Energy Data Format Excel Spreadsheet Geographic Scope Earth TODO: Import actual dataset contents into OpenEI The BP Statistical Review of World Energy is an Excel spreadsheet which contains consumption and production data for Coal, Natural Gas, Nuclear, Oil, and Hydroelectric energy. It is produced annually by British Petroleum.[1] Data from the BP Statistical Review is used in various tools, including the Energy Export Databrowser.[1] External links 2009 Data 2008 Data 2007 Data 2006 Data 2005 Data 2004 Data 2003 Data 2002 Data References ↑ 1.0 1.1 "Sources of data used in the Energy Export Databrowser" Retrieved from "http://en.openei.org/w/index.php?title=BP_Statistical_Review_of_World_Energy&oldid=272979"

77

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 112.4 107.7 103.5 96.5 ...

78

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 103.3 106.4 107.0 112.4 ...

79

DOT Motor-fuel use statistics summary to 1995 The data included...  

Open Energy Info (EERE)

Motor-fuel use statistics summary to 1995 The data included in this submission is United States Department of Transportation (DOT) data up to 1995. The data includes motor-fuel...

80

Key China Energy Statistics 2012  

E-Print Network (OSTI)

and the Energy Foundation Sustainable Energy Program withstatistics; The China Sustainable Energy Program of the

Levine, Mark

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Solar Energy Education. Renewable energy: a background text. [Includes glossary  

SciTech Connect

Some of the most common forms of renewable energy are presented in this textbook for students. The topics include solar energy, wind power hydroelectric power, biomass ocean thermal energy, and tidal and geothermal energy. The main emphasis of the text is on the sun and the solar energy that it yields. Discussions on the sun's composition and the relationship between the earth, sun and atmosphere are provided. Insolation, active and passive solar systems, and solar collectors are the subtopics included under solar energy. (BCS)

1985-01-01T23:59:59.000Z

82

Solar Energy Education. Renewable energy: a background text. [Includes glossary  

DOE Green Energy (OSTI)

Some of the most common forms of renewable energy are presented in this textbook for students. The topics include solar energy, wind power hydroelectric power, biomass ocean thermal energy, and tidal and geothermal energy. The main emphasis of the text is on the sun and the solar energy that it yields. Discussions on the sun's composition and the relationship between the earth, sun and atmosphere are provided. Insolation, active and passive solar systems, and solar collectors are the subtopics included under solar energy. (BCS)

Not Available

1985-01-01T23:59:59.000Z

83

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Production - Nuclear Power Recovery of Energy Import ChineseProduction - Nuclear Power Recovery of Energy Import ChineseProduction - Nuclear Power Recovery of Energy Import Chinese

Levine, Mark

2013-01-01T23:59:59.000Z

84

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Gas Hydro Nuclear Fuel Total Primary Energy Consumption byGas Hydro Nuclear Fuel Total Final Energy Consumption byProduction - Nuclear Power Recovery of Energy Import Chinese

Levine, Mark

2013-01-01T23:59:59.000Z

85

IEA Energy Statistics | Open Energy Information  

Open Energy Info (EERE)

IEA Energy Statistics IEA Energy Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IEA Energy Statistics Agency/Company /Organization: International Energy Agency Sector: Energy Topics: GHG inventory, Technology characterizations Resource Type: Dataset Website: www.iea.org/stats/index.asp UN Region: Central Asia, Eastern Asia, South-Eastern Asia, "Pacific" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Latin America and Caribbean" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Western Asia & North Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., Northern America, "South Asia" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Sub-Saharan Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Western & Eastern Europe" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

86

Understanding Manufacturing Energy Use Through Statistical Analysis  

E-Print Network (OSTI)

Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology for statistically analyzing plant energy use in terms of these major end uses.

Kissock, J. K.; Seryak, J.

2004-01-01T23:59:59.000Z

87

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Natural Gas Hydro Nuclear Fuel Total Primary EnergyPetroleum Natural Gas Hydro Nuclear Fuel Total Final EnergyFuel Oil Total Primary Energy Supply Indigenous Production Indigenous Production - Hydro Power Indigenous Production - Nuclear

Levine, Mark

2013-01-01T23:59:59.000Z

88

Key China Energy Statistics 2011  

E-Print Network (OSTI)

a nuclear power plant. Hydro shows the energy content of theGas Hydro Nuclear Fuel Total Primary Energy Consumption byGas Hydro Nuclear Fuel Total Final Energy Consumption by

Levine, Mark

2013-01-01T23:59:59.000Z

89

Key China Energy Statistics 2012  

E-Print Network (OSTI)

a nuclear power plant. Hydro shows the energy content of theGas Nuclear Hydro Wind Other Renewables Total Primary EnergyGas Hydro Nuclear Fuel Wind Total Primary Energy Consumption

Levine, Mark

2013-01-01T23:59:59.000Z

90

Energy-saving lighting systems. [Includes glossary  

SciTech Connect

Artificial lighting accounts for 20% of electrical energy, 7.6% of total energy, and 3.8% of total fuel in the US. Because conserving lighting energy can reduce operating costs as well as save energy, this book explores several practical ways to do that. The book first describes the complete range of light sources and their accessories, then goes on to cover photometric reports, techniques of lighting design, fluorescent luminaires, industrial lighting systems, manual and automatic lighting controls, the impact of air-conditioning on lighting systems, and exterior lighting. A glossary of lighting terminology, conversion tables, and recommended illumination levels appear in the appendix. The book is designed for students and practicity lighting engineers and designers. 56 references, 169 figures, 45 tables. (DCK)

Sorcar, P.C.

1982-01-01T23:59:59.000Z

91

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Energy Production (Mtce) Coal Oil Natural Gas Nuclear HydroProduction by Source Shares* Coal Oil Natural Gas NuclearTotal Primary Energy (Mtce) Coal Production (1985-2010) AAGR

Levine, Mark

2013-01-01T23:59:59.000Z

92

Tennessee energy statistics quarterly. Second quarter 1982  

Science Conference Proceedings (OSTI)

This report presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. Historical data reported in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution. (PSB)

Not Available

1982-10-01T23:59:59.000Z

93

Notes for International Energy Statistics  

U.S. Energy Information Administration (EIA)

... lignite, brown coal, and for Estonia, oil shale. Coal / Consumption. United States coal consumption is from Energy Information Administration, ...

94

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ;

95

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Biofuels Consumption | Heat Content ; Total Energy. Total Primary Energy Production | Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ;

96

Summary Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

See Glossary. b Values reflect the month of acquisition, ... U.S. Energy Information Administration/Petroleum Marketing Monthly February 2012 38 Table 17.

97

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Energy Production (Mtce) Coal Oil Natural Gas Nuclear Hydroby Source Shares* Coal Oil Natural Gas Nuclear Hydro WindSouth Korea Other Crude Oil Production by Region (1985-2010)

Levine, Mark

2013-01-01T23:59:59.000Z

98

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Petroleum Natural Gas Hydro Nuclear Fuel Wind Total PrimaryNatural Gas Hydro Nuclear Fuel Wind Total Final EnergyFuel Source (1980-2010) Mtce Coal Oil Natural Gas Hydro Nuclear

Levine, Mark

2013-01-01T23:59:59.000Z

99

Key China Energy Statistics 2011  

E-Print Network (OSTI)

information about the LBNL China Energy Group, go to ourUS Dollars/Gallon Mainland China Germany Japan Mexico SouthVessels Refueling in China Stock Change Total Transformation

Levine, Mark

2013-01-01T23:59:59.000Z

100

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Thermal Power Heating Supply Coal Washing Coking PetroleumEnergy Production (Mtce) AAGR Coal Raw Crude Oil PrimaryNatural Gas TPE by Fuel Shares * Coal Raw Crude Oil Primary

Levine, Mark

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Key China Energy Statistics 2011  

E-Print Network (OSTI)

China's Liquefied Natural Gas Imports (2010) Import SourcesChina's Gaseous Natural Gas Imports (2010) Imports SourcesGas Indigenous Production Indigenous Production - Hydro Power Indigenous Production - Nuclear Power Recovery of Energy Import

Levine, Mark

2013-01-01T23:59:59.000Z

102

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Liquefied Natural Gas Imports (2010) Australia IndonesiaLiquefied Natural Gas Imports: 9.34 billion m 3 World'sGas Indigenous Production Indigenous Production - Hydro Power Indigenous Production - Nuclear Power Recovery of Energy Import

Levine, Mark

2013-01-01T23:59:59.000Z

103

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; ... Crude Oil Proved Reserves ... Sudan and South Sudan 0.563 ...

104

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... 2013 JAN FEB MAR APR ...

105

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Energy. Total Primary Energy ... 2013 JAN FEB MAR ... Germany 282 281 280 281 286 285 283 287 ...

106

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ;

107

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; ... Puerto Rico 0 0 0 0 0 ...

108

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; ... Total Primary Energy Consumption per Capita (Million Btu per Person)

109

UK Energy Statistics: Renewables and Waste, Commodity Balances (2010) |  

Open Energy Info (EERE)

403 403 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142288403 Varnish cache server UK Energy Statistics: Renewables and Waste, Commodity Balances (2010) Dataset Summary Description Annual commodity balances (supply, consumption) for renewables and waste in the UK from 1998 to 2009. Published as part of the Digest of UK energy statistics (DUKES), by the UK Department of Energy & Climate Change (DECC). Waste includes: wood waste, farm waste, sewage gas, landfill gas, waste and tyres. Renewables includes: wood, plant-based biomass, geothermal and active solar heat, hydro, wind, wave and tidal, and liquid biofuels. These data were used to produce Tables 7.1 to 7.3 in the Digest of United Kingdom Energy Statistics 2010 (available: http://decc.gov.uk/assets/decc/Statistics/publications/dukes/348-dukes-2...).

110

UN-Energy Statistics Database | Open Energy Information  

Open Energy Info (EERE)

UN-Energy Statistics Database UN-Energy Statistics Database Jump to: navigation, search Tool Summary LAUNCH TOOL Name: UN-Energy Statistics Database Agency/Company /Organization: United Nations Sector: Energy Focus Area: Renewable Energy, Non-renewable Energy, Biomass, Geothermal, Hydrogen, Solar, - Concentrating Solar Power, - Solar PV, Wind Resource Type: Dataset Website: data.un.org/Explorer.aspx?d=EDATA Cost: Free Language: English UN-Energy Statistics Database Screenshot References: UN Data[1] "The United Nations Statistics Division (UNSD) of the Department of Economic and Social Affairs (DESA) launched a new internet based data service for the global user community. It brings UN statistical databases within easy reach of users through a single entry point (http://data.un.org/). Users can now search and download a variety of

111

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Energy. Total Primary Energy ... Solar, Tide and Wave Electricity Net Generation (Billion Kilowatthours) ... Puerto Rico 0 0 0 0 NA ...

112

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Energy. Total Primary Energy ... Total Renewable Electricity Net Generation (Billion Kilowatthours) ... Bosnia and Herzegovina 3.961 4.818 6 ...

113

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Energy. Total Primary Energy ... Solar, Tide and Wave Electricity Net Generation (Billion Kilowatthours) ... Puerto Rico 0 0 0 0 0 ...

114

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Energy. Total Primary Energy ... 2013 JAN FEB MAR APR MAY JUN ... Germany 2,417 2,645 2,786 2,507 ...

115

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Puerto Rico 0.482 0.520 0 ...

116

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Intensity - Total Primary Energy Consumption per Dollar of GDP (Btu per Year 2005 U.S. Dollars (Purchasing Power Parities)) Loading...

117

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Production | Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; ... Total Oil Supply (Thousand Barrels Per Day)

118

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 79 81 90 110 ...

119

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 14 44 74 126 ...

120

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; ... Puerto Rico ...

Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; Country;

122

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 9,884 9,854 9,760 9,756 ...

123

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 98.8 103.3 106.4 107.0 112.4 107.7 ...

124

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ;

125

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions Population Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ...

126

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Biofuels Consumption | Heat Content ; Total Energy. ... Puerto Rico 0 0 0 0 NA Saint Kitts and Nevis 0 0 0 ...

127

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; ... Portugal 4.1 5.7 6.4 7.0 5.4 5.6 ...

128

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 336.9 295.8 308.4 288.3 ...

129

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 32.5 21.7 0 115.0 ...

130

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Per Capita Carbon Dioxide Emissions from the Consumption of Energy ... Portugal 5.601 5.220 5.455 5.049 5.035 Romania ...

131

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Portugal 0 0 0 0 0 Romania 38,496 39,441 ...

132

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Portugal 71.723 53.262 39.933 49.652 61.014 Romania ...

133

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ... Portugal 0.020 1.600 3.500 3.300 ...

134

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; ... Portugal 10.643 10.677 10.708 10.736 10.760 Romania 22.106 22 ...

135

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; ... Portugal 6.4 7.0 5.4 5.6 5.2 5.2 ...

136

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Portugal 44.788 43.429 47.342 51.915 49.918 Romania ...

137

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Portugal 0 0 0 0 0 Romania 2.225 2.225 ...

138

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Per Capita Carbon Dioxide Emissions from the Consumption of Energy (Metric Tons of Carbon Dioxide per Person) ... Puerto Rico 9.982 9.890 9 ...

139

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Biofuels Consumption | Heat Content ; Total Energy. ... Puerto Rico 0 0 0 Slovakia 2.200 1 3.200 Slovenia 0 0 ...

140

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption per Capita (Million Btu per Person) ... 2009 North America 279.119 275.325 277.356 268.452 253 ...

Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Production| Annual Monthly/Quarterly. ... Imports of Crude Oil including Lease Condensate ... Central & South America 2,052 ...

142

Solar Energy Education. Reader, Part II. Sun story. [Includes glossary  

DOE Green Energy (OSTI)

Magazine articles which focus on the subject of solar energy are presented. The booklet prepared is the second of a four part series of the Solar Energy Reader. Excerpts from the magazines include the history of solar energy, mythology and tales, and selected poetry on the sun. A glossary of energy related terms is included. (BCS)

Not Available

1981-05-01T23:59:59.000Z

143

Statistics  

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

Statistics Statistics 1 32. STATISTICS Revised April 1998 by F. James (CERN); February 2000 by R. Cousins (UCLA); October 2001, October 2003, and August 2005 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in High Energy Physics. In statistics we are interested in using a given sample of data to make inferences about a probabilistic model, e.g., to assess the model's validity or to determine the values of its parameters. There are two main approaches to statistical inference, which we may call frequentist and Bayesian. In frequentist statistics, probability is interpreted as the frequency of the outcome of a repeatable experiment. The most important tools in this framework are parameter estimation, covered in Section 32.1, and statistical tests, discussed in Section 32.2. Frequentist confidence intervals, which are constructed so as to cover the true value of

144

EU Energy Statistics 2010 (1990 - 2007) | OpenEI  

Open Energy Info (EERE)

43 43 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278043 Varnish cache server EU Energy Statistics 2010 (1990 - 2007) Dataset Summary Description These two datasets include energy statistics for the European Union (EU). The statistics are available from the European Commission. The data includes detailed information about: production, net imports, gross inland consumption, and electricity generation for the EU as a whole, as well as the individual member countries, for the period between 1990 and 2007. Also included is annual gross electricity generation from renewables (hydro, pumped storage, wind, biomass, PV, and geothermal) for all EU member countries, 1990 - 2007.

145

Including Retro-Commissioning in Federal Energy Savings Performance...  

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

11.2 Retro-Cx in Federal ESPCs Including Retro-Commissioning In Federal Energy Saving Performance Contracts Retro-commissioning generally reduces operating and maintenance costs,...

146

Statistics Canada Energy Data: 2005 - 2009 | OpenEI  

Open Energy Info (EERE)

Linked Data Search Share this page on Facebook icon Twitter icon Statistics Canada Energy Data: 2005 - 2009 Dataset Summary Description Statistics Canada collects and...

147

Free Energy Efficiency Kit includes CFL light bulbs,  

E-Print Network (OSTI)

Free Energy Efficiency Kit Kit includes CFL light bulbs, spray foam, low-flow shower head, and more i ci e n cy On Thursday, March 31st New River Light & Power will sponsor a seminar that is designed

Rose, Annkatrin

148

Energy statistics. A supplement to the summary of national transportation statistics  

SciTech Connect

This annual report is a compendium of selected time-series data describing the transportation, production, processing, and consumption of energy. The statistics have been assembled from a wide variety of sources, including the U.S. Department of the Interior, the Interstate Commerce Commission, and the American Petroleum Institute. The report is divided into three main sections. The first, entitled ''Energy Transport,'' contains such items as the revenues and expenses of oil pipeline companies, number and capacities of U.S. tank ships, and the total crude oil transported in the U.S. by method of transportation. The second section, entitled ''Reserves, Production, and Refining,'' reveals the growth over time of the U.S. oil and natural gas reserves, refinery capacity, and yields. Trends in the demand for fuel and power are displayed in the third section, entitled ''Energy Consumption.'' Throughout this part, the transportation sector is emphasized. Included are the gasoline and oil costs of automobiles of different sizes, the consumption of petroleum by type of product, the electrical energy consumed by the local transit industry, and other important statistics describing the supply and demand for energy. (auth)

Gay, W.F.

1975-08-01T23:59:59.000Z

149

VTPI-Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

VTPI-Transportation Statistics Jump to: navigation, search Name VTPI-Transportation Statistics AgencyCompany Organization Victoria Transportation Policy Institute Focus Area...

150

Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development  

E-Print Network (OSTI)

Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development A Report: A Systems Approach Including Marcellus Shale Gas Development Executive Summary In the 21st century new we focused on the case of un- conventional natural gas recovery from the Marcellus shale In addition

Walter, M.Todd

151

Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development  

E-Print Network (OSTI)

Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development A Report Transitions: A Systems Approach Including Marcellus Shale Gas Development Executive Summary In the 21st the Marcellus shale In addition to the specific questions identified for the case of Marcellus shale gas in New

Angenent, Lars T.

152

RECOMMENDATIONS TO INCLUDE IN CALIFORNIA ENERGY COMMISSION'S 2009 INTEGRATED ENERGY POLICY REPORT (IEPR)  

E-Print Network (OSTI)

RECOMMENDATIONS TO INCLUDE IN CALIFORNIA ENERGY COMMISSION'S 2009 INTEGRATED ENERGY POLICY REPORT solutions. Overview Past Energy Commission Integrated Energy Policy Reports (IEPRs) have recognized (IEPR) Submitted By: Steven Weissman Associate Director Center for Law, Energy and the Environment

Kammen, Daniel M.

153

EIA has updated Gulf of Mexico energy statistics - Today in ...  

U.S. Energy Information Administration (EIA)

The U.S. Energy Information Administration has updated energy statistics and an interactive map that highlights the role of the Gulf of Mexico in the U.S. energy ...

154

EIA - Advice from Meetings of the ASA Committee on Energy Statistics  

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

Advice from Meetings of the ASA Committee on Energy Statistics Transcripts and Summaries from the American Statistical Association Committee on Energy Statistics The U.S. Energy...

155

STATISTICAL SIGNIFICANCE OF DATA - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Residential Sector energy Intensities for 1978-1997 using data from EIA Residential Energy Consumption Survey.

156

3. Crude Oil Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 21,034 million barrels of crude oil proved reserves as of December 31, 1998. This is 7 percent (-1,512 ...

157

4. Natural Gas Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

4. Natural Gas Statistics Dry Natural Gas Proved Reserves The United States had 192,513 billion cubic feet of dry natural gas reserves as of December 31, 2004, a 2

158

3. Crude Oil Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 22,446 million barrels of crude oil proved reserves as of December 31, 2001. This is 1.8 percent (401 million barrels ...

159

Multi-objective design and optimization of district energy systems including polygeneration energy conversion technologies.  

E-Print Network (OSTI)

??In the present context of finding ways to decrease CO2 emissions linked with human activity, district energy systems including polygeneration energy conversion technologies are likely… (more)

Weber, Céline Isabelle

2008-01-01T23:59:59.000Z

160

Information Geometry, Inference Methods and Chaotic Energy Levels Statistics  

E-Print Network (OSTI)

In this Letter, we propose a novel information-geometric characterization of chaotic (integrable) energy level statistics of a quantum antiferromagnetic Ising spin chain in a tilted (transverse) external magnetic field. Finally, we conjecture our results might find some potential physical applications in quantum energy level statistics.

Carlo Cafaro

2008-10-25T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Interim performance criteria for photovoltaic energy systems. [Glossary included  

DOE Green Energy (OSTI)

This document is a response to the Photovoltaic Research, Development, and Demonstration Act of 1978 (P.L. 95-590) which required the generation of performance criteria for photovoltaic energy systems. Since the document is evolutionary and will be updated, the term interim is used. More than 50 experts in the photovoltaic field have contributed in the writing and review of the 179 performance criteria listed in this document. The performance criteria address characteristics of present-day photovoltaic systems that are of interest to manufacturers, government agencies, purchasers, and all others interested in various aspects of photovoltaic system performance and safety. The performance criteria apply to the system as a whole and to its possible subsystems: array, power conditioning, monitor and control, storage, cabling, and power distribution. They are further categorized according to the following performance attributes: electrical, thermal, mechanical/structural, safety, durability/reliability, installation/operation/maintenance, and building/site. Each criterion contains a statement of expected performance (nonprescriptive), a method of evaluation, and a commentary with further information or justification. Over 50 references for background information are also given. A glossary with definitions relevant to photovoltaic systems and a section on test methods are presented in the appendices. Twenty test methods are included to measure performance characteristics of the subsystem elements. These test methods and other parts of the document will be expanded or revised as future experience and needs dictate.

DeBlasio, R.; Forman, S.; Hogan, S.; Nuss, G.; Post, H.; Ross, R.; Schafft, H.

1980-12-01T23:59:59.000Z

162

BP Statistical Review of World Energy  

E-Print Network (OSTI)

, `Accounting for Oil and Gas Exploration, Development, Production and Decommissioning Activities' (UK SORP-specific data according to energy type, region and year. · An oil, natural gas and LNG conversion calculator of the world's largest oil and gas companies, serving millions of customers in more than 100 countries across

Laughlin, Robert B.

163

BP Statistical Review of World Energy  

E-Print Network (OSTI)

, `Accounting for Oil and Gas Exploration, Development, Production and Decommissioning Activities' (UK SORP in review Oil 6 Reserves 8 Production and consumption 15 Prices 16 Refining 18 Trade movements Natural gas reports or chart specific data according to energy type, region and year. · An oil, natural gas and LNG

164

Baseballs and Barrels: World Statistics Day | Department of Energy  

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

Baseballs and Barrels: World Statistics Day Baseballs and Barrels: World Statistics Day Baseballs and Barrels: World Statistics Day October 20, 2010 - 1:06pm Addthis Dr. Richard Newell Dr. Richard Newell Does the American League hold more baseball World Series titles than the National League? Yes. Does Saudi Arabia produce more crude oil than Russia? No. How do I know? Statistics. The month of October not only marks the beginning of Major League Baseball's World Series and Energy Awareness Month, but also the celebration of the first ever World Statistics Day on October 20th. Statistics don't just help us answer trivia questions - they also help us make intelligent decisions. If I heat my home with natural gas, I'm probably interested in what natural gas prices are likely to be this winter. If my business manufactures solar panels, I would want to know how

165

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; ...

166

Particle Energy Spectrum, Revisited from a Counting Statistics Perspective  

SciTech Connect

In nuclear science, gamma and neutron spectra are counted energy by energy, and then particle by particle. Until recently, few studies have been performed on how exactly those energy spectra are counted, or how those counts are correlated. Because of lack of investigation, cross section covariance and correlation matrices are usually estimated using perturbation method. We will discuss a statistical counting scheme that shall mimic the gamma and neutron counting process used in nuclear science. From this counting scheme, the cross section covariance and correlation can be statistically derived.

None

2012-07-28T23:59:59.000Z

167

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; Conversions ; ... Jordan 0 0 0 0 0 ...

168

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; ... Jordan 0 0 0 Kuwait 0 0 ...

169

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; ... Jordan 7.190 7.190 7.190 7.190 ...

170

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ; Energy Intensity ; ... Jordan 0.003 0.003 0.003 0.003 ...

171

Key World Energy Statistics-2010 | Open Energy Information  

Open Energy Info (EERE)

AgencyCompany Organization: International Energy Agency Sector: Energy Topics: Market analysis Resource Type: Dataset, Maps Website: www.iea.orgtextbasenppdffree...

172

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Total Primary Energy Consumption ; Indicators. ... North America 23,893.0 ... United States 19,498 ...

173

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Carbon Intensity ; Energy Intensity ; Conversions ; Population ; Coal Prices ; Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat ...

174

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Intensity ; Conversions Population Coal Prices ; Electricity Prices ; Petroleum Prices ... Jordan 5,956 5,956 5,956 5,956 ...

175

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Intensity ; Conversions Population Coal Prices ; Electricity Prices ; Petroleum Prices ... Jordan 15.635 15.296 15.997 17.078 ...

176

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Unit: Production of Crude Oil including Lease Condensate (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 2006 ...

177

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Unit: Production of Crude Oil including Lease Condensate (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 2007 ...

178

Spatial Statistical Procedures to Validate Input Data in Energy Models  

DOE Green Energy (OSTI)

Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy-related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the above-mentioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

Lawrence Livermore National Laboratory

2006-01-27T23:59:59.000Z

179

Spatial Statistical Procedures to Validate Input Data in Energy Models  

DOE Green Energy (OSTI)

Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

2006-01-01T23:59:59.000Z

180

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas

Note: This page contains sample records for the topic "include energy statistics" 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

Solar Energy Education. Home economics: teacher's guide. Field test edition. [Includes glossary  

SciTech Connect

An instructional aid is provided for home economics teachers who wish to integrate the subject of solar energy into their classroom activities. This teacher's guide was produced along with the student activities book for home economics by the US Department of Energy Solar Energy Education. A glossary of solar energy terms is included. (BCS)

1981-06-01T23:59:59.000Z

182

Solar Energy Education. Home economics: teacher's guide. Field test edition. [Includes glossary  

DOE Green Energy (OSTI)

An instructional aid is provided for home economics teachers who wish to integrate the subject of solar energy into their classroom activities. This teacher's guide was produced along with the student activities book for home economics by the US Department of Energy Solar Energy Education. A glossary of solar energy terms is included. (BCS)

Not Available

1981-06-01T23:59:59.000Z

183

RITA-Bureau of Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

RITA-Bureau of Transportation Statistics Jump to: navigation, search Name RITA-Bureau of Transportation Statistics AgencyCompany Organization United States Department of...

184

Petroleum Gasoline & Distillate Needs Including the Energy Independence and Security Act (EISA) Impacts  

Reports and Publications (EIA)

This presentation describes the projections for petroleum-based gasoline and distillate in the Update AEO 2008, which includes the impacts of the Energy Independence and Security Act.

Information Center

2008-03-11T23:59:59.000Z

185

Research on the Statistical Method of Energy Consumption for Public Buildings in China  

E-Print Network (OSTI)

The purpose of this research is to develop a national statistical system for energy consumption data for public buildings in China, in order to provide data support for building energy efficiency work. The framework for a national statistical system of energy consumption for public buildings is presented in this paper. The statistical index system of energy consumption constitutes three aspects: general characteristics of public buildings, opposition and utilization of energy consumption equipment, and energy consumption quantities. On this basis, a set of statistical reports is derived to measure the energy consumption of cities, provinces and the country.

Chen, S.; Li, N.

2006-01-01T23:59:59.000Z

186

Solar Energy Education. Industrial arts: teacher's guide. Field test edition. [Includes glossary  

SciTech Connect

An instructional aid is presented which integrates the subject of solar energy into the classroom study of industrial arts. This guide for teachers was produced in addition to the student activities book for industrial arts by the USDOE Solar Energy Education. A glossary of solar energy terms is included. (BCS)

1981-05-01T23:59:59.000Z

187

Solar Energy Education. Industrial arts: teacher's guide. Field test edition. [Includes glossary  

DOE Green Energy (OSTI)

An instructional aid is presented which integrates the subject of solar energy into the classroom study of industrial arts. This guide for teachers was produced in addition to the student activities book for industrial arts by the USDOE Solar Energy Education. A glossary of solar energy terms is included. (BCS)

Not Available

1981-05-01T23:59:59.000Z

188

Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case  

Open Energy Info (EERE)

Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case Study) (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case Study) (Webinar) Focus Area: Renewable Energy Topics: System & Application Design Website: www.leonardo-energy.org/webinar-introduction-small-scale-wind-energy-s Equivalent URI: cleanenergysolutions.org/content/introduction-small-scale-wind-energy- Language: English Policies: Deployment Programs DeploymentPrograms: Project Development This video teaches the viewer about wind turbines and RETscreen's wind module, which can be used to project the cost and production of a wind

189

IRF-World Road Statistics | Open Energy Information  

Open Energy Info (EERE)

IRF-World Road Statistics IRF-World Road Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IRF-World Road Statistics Agency/Company /Organization: International Road Statistics Focus Area: Transportation, Economic Development Resource Type: Dataset Website: www.irfnet.org/statistics.php Cost: Paid IRF-World Road Statistics Screenshot References: IRF-World Road Statistics[1] "IRF World Road Statistics (WRS) compiles the most up-to-date official international road, traffic and transport data. The publication further provides a selection of the latest Sustainable Development Indicators and other data of key relevance, not only to industry and business but also to leading international organisations and financial institutions." References ↑ "IRF-World Road Statistics"

190

UN-Glossary for Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

UN-Glossary for Transportation Statistics UN-Glossary for Transportation Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: UN-Glossary for Transportation Statistics Agency/Company /Organization: United Nations Focus Area: Transportation Resource Type: Dataset, Publications Website: www.internationaltransportforum.org/Pub/pdf/GloStat3e.pdf Cost: Free UN-Glossary for Transportation Statistics Screenshot References: UN-Glossary for Transportation Statistics[1] Logo: UN-Glossary for Transportation Statistics "The Glossary for Transport Statistics was published for the first time in 1994 with the purpose of assisting member countries during the collection of data on transport made by the UNECE, ECMT and Eurostat through the Common Questionnaire." References ↑ "UN-Glossary for Transportation Statistics"

191

Canadian National Energy Use Database: Statistics and Analysis | Open  

Open Energy Info (EERE)

Canadian National Energy Use Database: Statistics and Analysis Canadian National Energy Use Database: Statistics and Analysis Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Canadian National Energy Use Database: Statistics and Analysis Focus Area: Energy Efficiency Topics: Potentials & Scenarios Website: oee.nrcan.gc.ca/corporate/statistics/neud/dpa/home.cfm?attr=24 Equivalent URI: cleanenergysolutions.org/content/canadian-national-energy-use-database Language: "English,French" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; Bedawiyet, Belarusian, Bemba, Bengali, Berber languages, Bhojpuri, Bihari languages, Bikol, Bini; Edo, Bislama, Blin; Bilin, Blissymbols; Blissymbolics; Bliss, Bosnian, Braj, Breton, Buginese, Bulgarian, Buriat, Burmese, Caddo, Catalan; Valencian, Caucasian languages, Cebuano, Celtic languages, Central American Indian languages, Central Khmer, Chagatai, Chamic languages, Chamorro, Chechen, Cherokee, Cheyenne, Chibcha, Chichewa; Chewa; Nyanja, Chinese, Chinook jargon, Chipewyan; Dene Suline, Choctaw, Chuukese, Chuvash, Classical Newari; Old Newari; Classical Nepal Bhasa, Classical Syriac, Coptic, Cornish, Corsican, Cree, Creek, Creoles and pidgins , Crimean Tatar; Crimean Turkish, Croatian, Cushitic languages, Czech, Dakota, Danish, Dargwa, Delaware, Dinka, Divehi; Dhivehi; Maldivian, Dogri, Dogrib, Dravidian languages, Duala, Dutch; Flemish, Dyula, Dzongkha, Eastern Frisian, Efik, Egyptian (Ancient), Ekajuk, Elamite, English, Erzya, Esperanto, Estonian, Ewe, Ewondo, Fang, Fanti, Faroese, Fijian, Filipino; Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

192

Modeling and Controller Design of a Wind Energy Conversion System Including a Matrix Converter.  

E-Print Network (OSTI)

??In this thesis, a grid-connected wind-energy converter system including a matrix converter is proposed. The matrix converter, as a power electronic converter, is used to… (more)

Barakati, Seyed Masoud

2008-01-01T23:59:59.000Z

193

International Monetary Fund-Data and Statistics | Open Energy Information  

Open Energy Info (EERE)

International Monetary Fund-Data and Statistics International Monetary Fund-Data and Statistics Jump to: navigation, search Tool Summary Name: International Monetary Fund-Data and Statistics Agency/Company /Organization: International Monetary Fund Topics: Finance Resource Type: Dataset Website: www.imf.org/external/data.htm International Monetary Fund-Data and Statistics Screenshot References: International Monetary Fund Data and Stats[1] Summary "The IMF publishes a range of time series data on IMF lending, exchange rates and other economic and financial indicators. Manuals, guides, and other material on statistical practices at the IMF, in member countries, and of the statistical community at large are also available." References ↑ "International Monetary Fund Data and Stats"

194

Energy Department Expands Gas Gouging Reporting System to Include 1-800  

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

Expands Gas Gouging Reporting System to Include Expands Gas Gouging Reporting System to Include 1-800 Number: 1-800-244-3301 Energy Department Expands Gas Gouging Reporting System to Include 1-800 Number: 1-800-244-3301 September 6, 2005 - 9:50am Addthis Washington, DC - Energy Secretary Samuel W. Bodman announced today that the Department of Energy has expanded its gas gouging reporting system to include a toll-free telephone hotline. The hotline is available to American consumers starting today. "While we've largely seen the best of American generosity and unity throughout the recovery effort, we recognize that there are some bad actors that may try to take advantage of the situation. Consumers are our first line of defense in guarding against gas price gouging. I can assure you, our Administration - from the President down - takes this issue very

195

WHO Statistical Information System (WHOSIS) | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » WHO Statistical Information System (WHOSIS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: WHO Statistical Information System (WHOSIS) Agency/Company /Organization: World Health Organization (WHO) Topics: Co-benefits assessment, Policies/deployment programs, Resource assessment Resource Type: Dataset Website: www.who.int/whosis/en/ WHO Statistical Information System (WHOSIS) Screenshot References: WHO Statistical Information System (WHOSIS)[1] Overview "The World Health Organization is the United Nations specialized agency for health. WHO's objective, as set out in its Constitution, is the attainment by all peoples of the highest possible level of health. The WHO Statistical Information System is the guide to health and

196

Vietnam Energy Data, Statistics and Analysis - Oil, Gas ...  

U.S. Energy Information Administration (EIA)

Vietnam's energy policy objectives, outlined in the National Strategy for Energy Development, ... Vietnam's National Gas Master Plan projects that gas consumption in

197

Statistical analysis of what drives industrial energy demand: Volume III of the PURHAPS model documentation  

Science Conference Proceedings (OSTI)

The overall price of energy has far less direct effect on industrial demand than conventional models, such as the Jorgenson translog model, have indicated. Much of what appears to be conservation in recent years can be explained as the result of structural changes (e.g., less steel production), electrification, and a slowdown in the long-term trend towards more use of energy relative to other factors of production. This report documents these findings and the other findings from the statistical analysis used in developing the PURchased Heat And Power System, as used in producing the 1982 Annual Energy Outlook forecasts. This report is intended partly to convey these findings to substantive energy experts and energy policy analysts; it is also intended to fulfill EIA requirements for model documentation. Volume I of this series documents the full mathematical specification of the model, including accounting identites and benchmarks; Volume II documents the data used both in the estimation and in the model. Appendix B of this report provides a purely historical breakdown of actual changes in oil and electricity use from 1974 to 1981, showing what changes are due to general economic growth, improved general productivity, etc. preliminary work for the 1983 Annual Energy Outlook is discussed in general terms.

Werbos, P.J.

1983-12-01T23:59:59.000Z

198

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

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

199

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

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

200

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

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

Note: This page contains sample records for the topic "include energy statistics" 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

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

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

202

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

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

203

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

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

204

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

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

205

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

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

206

EIA has updated Gulf of Mexico energy statistics - Today in ...  

U.S. Energy Information Administration (EIA)

Solar › Energy in Brief ... 2012, NOAA has declared seven named storms or hurricanes in the Atlantic region: Alberto, Beryl, Chris, Debby, Ernesto, Florence, and Gilma.

207

Vietnam Energy Data, Statistics and Analysis - Oil, Gas ...  

U.S. Energy Information Administration (EIA)

to support the energy industry. These measures have helped to increase oil and gas production, but the country's rapid economic growth, industrialization, ...

208

J. Phys. II France 6 (1996) 477-491 APRIL 1996, PAGE 477 A Simple Statistical Mechanical Approach to the Free Energy of  

E-Print Network (OSTI)

to the Free Energy of the Electric Double Layer Including the Excluded Volume Elsect Veronika Kralj statistical mechanical approach is applied to derive an expres- sion for the free energy of a single electric volume effect. The calculated free energy of an univalent electrolyte is compared to the corresponding

Paris-Sud XI, Université de

209

Welcome Doug MacIntyre, Director, Office of Petroleum and Biofuels Statistics, U.S. Energy Information  

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

2012 State Heating Oil and Propane (SHOPP) Webinar 2012 State Heating Oil and Propane (SHOPP) Webinar August 14, 2012 (9:30 am - 12:00 pm, Eastern Time) 9:30 am - 9:45 am Welcome Doug MacIntyre, Director, Office of Petroleum and Biofuels Statistics, U.S. Energy Information Administration Mr. MacIntyre is the Director of the Office of Petroleum and Biofuels Statistics and has a long and varied history with the organization. His purview now includes SHOPP which he is familiar with, having been a presenter at previous SHOPP Conferences. 9:45-10:15 am Heating Fuels Outlook Crude Oil, Heating Fuel, and Propane Tancred Lidderdale, Office of Integrated and International Energy Analysis, U.S. Energy Information Administration Dr. Lidderdale will present highlights from the August Short-Term Energy Outlook, a monthly

210

Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara a  

E-Print Network (OSTI)

Data Bank Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara December 2010 Keywords: Wind Wind speed Energy Capacity factor Electricity Chile a b s t r a c t Bearing role in any future national energy generation matrix. With a view to understanding the local wind

Catholic University of Chile (Universidad Católica de Chile)

211

Free energy in the statistical theory of fluids  

Science Conference Proceedings (OSTI)

Explicit formulas for the excess chemical potential and Helmholtz free energy have been derived in different ways making use of a functional integration technique. The method employed is an extension of the Kirkwood ‘‘charging’’ procedure and involves a new way of renormalizing cluster series. The formulas require only the correlation functions for the system under investigation. New and old ways of calculating the free energy of a simple fluid are compared and discussed. Numerical results for the various closures are presented for hard and Lennard?Jones sphere fluids. A bridge functional of the first kind has been introduced and some approximations for this have been proposed and tested.

O. E. Kiselyov; G. A. Martynov

1990-01-01T23:59:59.000Z

212

Method for including operation and maintenance costs in the economic analysis of active solar energy systems  

DOE Green Energy (OSTI)

For a developing technology such as solar energy, the costs for operation and maintenance (O and M) can be substantial. In the past, most economic analyses included these costs by simply assuming that an annual cost will be incurred that is proportional to the initial cost of the system. However, in assessing the economics of new systems proposed for further research and development, such a simplification can obscure the issues. For example, when the typical method for including O and M costs in an economic analysis is used, the O and M costs associated with a newly developed, more reliable, and slightly more expensive controller will be assumed to increase - an obvious inconsistency. The method presented in this report replaces this simplistic approach with a representation of the O and M costs that explicitly accounts for the uncertainties and risks inherent in the operation of any equipment. A detailed description of the data inputs required by the method is included as well as a summary of data sources and an example of the method as applied to an active solar heating system.

Short, W.D.

1986-08-01T23:59:59.000Z

213

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

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

214

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

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

215

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

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

216

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

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

217

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

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

218

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

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

219

High accuracy power spectra including baryonic physics in dynamical Dark Energy models  

E-Print Network (OSTI)

The next generation mass probes will obtain information on non--linear power spectra P(k,z) and their evolution, allowing us to investigate the nature of Dark Energy. To exploit such data we need high precision simulations, extending at least up to scales of k\\simeq 10 h^-1 Mpc, where the effects of baryons can no longer be neglected. In this paper, we present a series of large scale hydrodynamical simulations for LCDM and dynamical Dark Energy (dDE) models, in which the equation of state parameter is z-dependent. The simulations include gas cooling, star formation and Supernovae feedback. They closely approximate the observed star formation rate and the observationally derived star/Dark Matter mass ratio in collapsed systems. Baryon dynamics cause spectral shifts exceeding 1% at k > 2-3 hMpc^-1 compared to pure n-body simulations in the LCDM simulations. This agrees with previous studies, although we find a smaller effect (~50%) on the power spectrum amplitude at higher k's. dDE exhibits similar behavior, ev...

Casarini, Luciano; Bonometto, Silvio A; Stinson, Greg S

2010-01-01T23:59:59.000Z

220

A Short Primer on Collecting and Analyzing Energy R&D Statistics  

SciTech Connect

This report presents a short overview of various data sources available for understanding investment levels in energy research and development (R&D). The report describes some of the strengths and weaknesses of these data sources. The report also discusses some issues that still need to be resolved in using energy R&D statistics for decision-making purposes.

Dooley, James J.

2000-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Reliability evaluation of electric power system including wind power and energy storage .  

E-Print Network (OSTI)

??Global environmental concerns associated with conventional energy generation have led to the rapid growth of wind energy applications in electric power systems. Growing demand for… (more)

Hu, Po

2009-01-01T23:59:59.000Z

222

Basics of Feature Selection and Statistical Learning for High Energy Physics  

E-Print Network (OSTI)

This document introduces basics in data preparation, feature selection and learning basics for high energy physics tasks. The emphasis is on feature selection by principal component analysis, information gain and significance measures for features. As examples for basic statistical learning algorithms, the maximum a posteriori and maximum likelihood classifiers are shown. Furthermore, a simple rule based classification as a means for automated cut finding is introduced. Finally two toolboxes for the application of statistical learning techniques are introduced.

Anselm Vossen

2008-03-16T23:59:59.000Z

223

New York State annual energy review: energy consumption, supply and price statistics, 1960-1981  

SciTech Connect

Since 1960, annual natural gas consumption in New York State rose from 419 billion CF to 762 billion in 1981, supplying 21% of the state's primary energy. Although total energy consumption peaked in 1973 and 4281.5 trillion Btu, gas usage dropped after 1972 and then rose steadily to a maximum of 782 trillion Btu in 1981. Statistics show that (1) residential gas consumption peaked in 1972 and declined 0.9%/yr thereafter, (2) commercial gas usage was the highest ever in 1981, (3) industrial sales also peaked in 1981, and (4) after a 1978 low of 1.3 trillion Btu of gas usage for power generation, utility consumption rose to 135.2 trillion Btu by 1981, reflecting efforts to cut oil usage. New York consumers spent $734 million on gas in 1970 and $3105 million in 1981. Of the natural gas consumed, only 2.5% was produced in New York; 51% came from fields offshore Louisiana.

1982-01-01T23:59:59.000Z

224

Solar energy collector including a weightless balloon with sun tracking means  

DOE Patents (OSTI)

A solar energy collector having a weightless balloon, the balloon including a transparent polyvinylfluoride hemisphere reinforced with a mesh of ropes secured to its outside surface, and a laminated reflector hemisphere, the inner layer being clear and aluminized on its outside surface and the outer layer being opaque, the balloon being inflated with lighter-than-air gas. A heat collection probe extends into the balloon along the focus of reflection of the reflective hemisphere for conducting coolant into and out of the balloon. The probe is mounted on apparatus for keeping the probe aligned with the sun's path, the apparatus being founded in the earth for withstanding wind pressure on the balloon. The balloon is lashed to the probe by ropes adhered to the outer surface of the balloon for withstanding wind pressures of 100 miles per hour. Preferably, the coolant is liquid sodium-potassium eutectic alloy which will not normally freeze at night in the temperate zones, and when heated to 4,000.degree. R exerts a pressure of only a few atmospheres.

Hall, Frederick F. (2452 Villaneuva Way, Mountain View, CA 94040)

1978-01-01T23:59:59.000Z

225

QCD Precision Measurements and Structure Function Extraction at a High Statistics, High Energy Neutrino Scattering Experiment: NuSOnG  

SciTech Connect

We extend the physics case for a new high-energy, ultra-high statistics neutrino scattering experiment, NuSOnG (Neutrino Scattering On Glass) to address a variety of issues including precision QCD measurements, extraction of structure functions, and the derived Parton Distribution Functions (PDFs). This experiment uses a Tevatron-based neutrino beam to obtain a sample of Deep Inelastic Scattering (DIS) events which is over two orders of magnitude larger than past samples. We outline an innovative method for fitting the structure functions using a parameterized energy shift which yields reduced systematic uncertainties. High statistics measurements, in combination with improved systematics, will enable NuSOnG to perform discerning tests of fundamental Standard Model parameters as we search for deviations which may hint of 'Beyond the Standard Model' physics.

Adams, T.; /Florida State U.; Batra, P.; /Columbia U.; Bugel, Leonard G.; /Columbia U.; Camilleri, Leslie Loris; /Columbia U.; Conrad, Janet Marie; /MIT; de Gouvea, A.; /Northwestern U.; Fisher, Peter H.; /MIT; Formaggio, Joseph Angelo; /MIT; Jenkins, J.; /Northwestern U.; Karagiorgi, Georgia S.; /MIT; Kobilarcik, T.R.; /Fermilab /Texas U.

2009-06-01T23:59:59.000Z

226

Accounting for the Energy Consumption of Personal Computing Including Portable Devices  

E-Print Network (OSTI)

the impact of energy consumed by the computing sector on the environment, as well as on the electricity cost Energy, Electricity, Computing, Portable Devices, Environment, Networking 1. INTRODUCTION The increasing, and what we can expect in the future. This requires a detailed analysis of energy consumption

Namboodiri, Vinod

227

Accounting for the energy consumption of personal computing including portable devices  

Science Conference Proceedings (OSTI)

In light of the increased awareness of global energy consumption, questions are also being asked about the contribution of computing equipment. Though studies have documented the share of energy consumption due to these equipment over the years, these ... Keywords: computing, electricity, energy, environment, networking, portable devices

Pavel Somavat; Shraddha Jadhav; Vinod Namboodiri

2010-04-01T23:59:59.000Z

228

Energy star compliant voice over internet protocol (VoIP) telecommunications network including energy star compliant VoIP devices  

DOE Patents (OSTI)

A Voice over Internet Protocol (VoIP) communications system, a method of managing a communications network in such a system and a program product therefore. The system/network includes an ENERGY STAR (E-star) aware softswitch and E-star compliant communications devices at system endpoints. The E-star aware softswitch allows E-star compliant communications devices to enter and remain in power saving mode. The E-star aware softswitch spools messages and forwards only selected messages (e.g., calls) to the devices in power saving mode. When the E-star compliant communications devices exit power saving mode, the E-star aware softswitch forwards spooled messages.

Kouchri, Farrokh Mohammadzadeh

2012-11-06T23:59:59.000Z

229

CEBAF energy upgrade program including re-work of CEBAF cavities  

Science Conference Proceedings (OSTI)

The Thomas Jefferson National Accelerator Facility, Jefferson Lab, is planning an upgrade of the CEBAF accelerator from a maximum energy of 6 GeV to 12 GeV and from 3 to 4 experimental halls. This paper will discuss the plans for upgrading the energy of the machine which requires improvements of the existing Super Conducting Radio Frequency (SRF) cryomodules and the additions of ten newly designed high performance SRF cryomodules.

Joseph Preble

2008-02-12T23:59:59.000Z

230

Stocks of Crude Oil (Including SPR) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

231

Property:Number of Plants Included in Planned Estimate | Open Energy  

Open Energy Info (EERE)

Plants Included in Planned Estimate Plants Included in Planned Estimate Jump to: navigation, search Property Name Number of Plants Included in Planned Estimate Property Type String Description Number of plants included in the estimate of planned capacity per GEA Pages using the property "Number of Plants Included in Planned Estimate" Showing 21 pages using this property. A Alaska Geothermal Region + 3 + C Cascades Geothermal Region + 1 + Central Nevada Seismic Zone Geothermal Region + 4 + G Gulf of California Rift Zone Geothermal Region + 7 + H Hawaii Geothermal Region + 1 + Holocene Magmatic Geothermal Region + 4 + I Idaho Batholith Geothermal Region + 1 + N Northern Basin and Range Geothermal Region + 9 + Northern Rockies Geothermal Region + 0 + Northwest Basin and Range Geothermal Region + 6 +

232

Decision-maker's guide to wood fuel for small industrial energy users. Final report. [Includes glossary  

DOE Green Energy (OSTI)

The technology and economics of various wood energy systems available to the small industrial and commercial energy user are considered. This book is designed to help a plant manager, engineer, or others in a decision-making role to become more familiar with wood fuel systems and make informed decisions about switching to wood as a fuel. The following subjects are discussed: wood combustion, pelletized wood, fuel storage, fuel handling and preparation, combustion equipment, retrofitting fossil-fueled boilers, cogeneration, pollution abatement, and economic considerations of wood fuel use. (MHR)

Levi, M. P.; O'Grady, M. J.

1980-02-01T23:59:59.000Z

233

Principles of equilibrium statistical mechanics revisited: The idea of vortex energy  

E-Print Network (OSTI)

We show that the law of energy conservation with the fact of matter stability imply the existence of energy complementary to that given by the function of states of interacting systems and treated, with the environment, the function of states of interacting extended systems. The complementary energy, we called it vortex, is integral, not quantized, and causes trends contrary to that prescribed by equilibrium statistical mechanics. We formulate its principles and theorems, and question traditional insights in thermodynamics, entropy law, phase transitions, persistent currents, Brownian motion.

V. E. Shapiro

2013-05-21T23:59:59.000Z

234

Full counting statistics of energy fluctuations in a driven quantum resonator  

SciTech Connect

We consider the statistics of time-integrated energy fluctuations of a driven bosonic single-mode resonator, as measured by a quantum nondemolition (QND) detector, using the standard Keldysh prescription to define higher moments. We find that, due to an effective cascading of fluctuations, these statistics are surprisingly nonclassical: the low-temperature, quantum probability distribution is not equivalent to the high-temperature classical distribution evaluated at some effective temperature. Moreover, for a sufficiently large drive detuning and low temperatures, the Keldysh-ordered quasiprobability distribution characterizing these fluctuations fails to be positive-definite; this is similar to the full counting statistics of charge in superconducting systems. We argue that this indicates a kind of nonclassical behavior akin to that tested by Leggett-Garg inequalities.

Clerk, A. A. [Department of Physics, McGill University, Montreal, Quebec, H3A 2T8 (Canada)

2011-10-15T23:59:59.000Z

235

Monthly Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... Alternative Fuels. Includes hydropower, solar, wind, geothermal, ...

236

Security assessment of power systems including energy storage. Progress report, July 1, 1978--September 30, 1978  

DOE Green Energy (OSTI)

Progress in assessing the security of power systems is reviewed. Further evaluation has been performed on the previously developed simplified model of the current-fed force-commutated converter (CFFCC). Validation studies were performed using the CFFCC as a control interface between a one-machine, three-bus power system equivalent and a superconducting magnetic energy storage device. The highlights of this investigation are reported. The identification of power system electromechanical models from systems measurements, with only normal load variation as a disturbing input, is being studied. A maximum liklihood estimation procedure has been partly developed. The procedure uses auto correlation information as an input rather than the observed time series.

Carroll, D.P.; Triezenberg, D.M.

1978-10-01T23:59:59.000Z

237

Low-energy cutoffs in electron spectra of solar flares: statistical survey  

E-Print Network (OSTI)

The Ramaty High Energy Solar Spectroscopic Imager (RHESSI) X-ray data base (February 2002 -- May 2006) has been searched to find solar flares with weak thermal components and flat photon spectra. Using a regularised inversion technique, we determine the mean electron flux distribution from count spectra of a selection of events with flat photon spectra in the 15--20 keV energy range. Such spectral behaviour is expected for photon spectra either affected by photospheric albedo or produced by electron spectra with an absence of electrons in a given energy range, e.g. a low-energy cutoff in the mean electron spectra of non-themal particles. We have found 18 cases which exhibit a statistically significant local minimum (a dip) in the range of 10--20 keV. The positions and spectral indices of events with low-energy cutoff indicate that such features are likely to be the result of photospheric albedo. It is shown that if the isotropic albedo correction was applied, all low-energy cutoffs in the mean electron spectrum were removed and hence the low energy cutoffs in the mean electron spectrum of solar flares above $\\sim$12 keV cannot be viewed as real features in the electron spectrum. If low-energy cutoffs exist in the mean electron spectra, the energy of low energy cutoffs should be less than $\\sim$12 keV.

E. P. Kontar; E. Dickson; J. Kasparova

2008-05-10T23:59:59.000Z

238

Energy Information Administration Official Energy Statistics from the U.S. Government  

E-Print Network (OSTI)

Petroleum Status and Natural Gas Storage Reports, weekly Short-Term Energy Outlook, monthly Annual Energy-term decline and reach $130 per barrel (in 2007 dollars) by 2030 · A robust domestic natural gas resource base Natural Gas Liquid Fuels Coal Renewables (excl liquid biofuels) Non-fossil energy use grows rapidly

239

Initial Business Case Analysis of Two Integrated Heat Pump HVAC Systems for Near-Zero-Energy Homes - Update to Include Evaluation of Impact of Including a Humidifier Option  

SciTech Connect

The long range strategic goal of the Department of Energy's Building Technologies (DOE/BT) Program is to create, by 2020, technologies and design approaches that enable the construction of net-zero energy homes at low incremental cost (DOE/BT 2005). A net zero energy home (NZEH) is a residential building with greatly reduced needs for energy through efficiency gains, with the balance of energy needs supplied by renewable technologies. While initially focused on new construction, these technologies and design approaches are intended to have application to buildings constructed before 2020 as well resulting in substantial reduction in energy use for all building types and ages. DOE/BT's Emerging Technologies (ET) team is working to support this strategic goal by identifying and developing advanced heating, ventilating, air-conditioning, and water heating (HVAC/WH) technology options applicable to NZEHs. In FY05 ORNL conducted an initial Stage 1 (Applied Research) scoping assessment of HVAC/WH systems options for future NZEHs to help DOE/BT identify and prioritize alternative approaches for further development. Eleven system concepts with central air distribution ducting and nine multi-zone systems were selected and their annual and peak demand performance estimated for five locations: Atlanta (mixed-humid), Houston (hot-humid), Phoenix (hot-dry), San Francisco (marine), and Chicago (cold). Performance was estimated by simulating the systems using the TRNSYS simulation engine (Solar Energy Laboratory et al. 2006) in two 1800-ft{sup 2} houses--a Building America (BA) benchmark house and a prototype NZEH taken from BEopt results at the take-off (or crossover) point (i.e., a house incorporating those design features such that further progress towards ZEH is through the addition of photovoltaic power sources, as determined by current BEopt analyses conducted by NREL). Results were summarized in a project report, HVAC Equipment Design options for Near-Zero-Energy Homes--A Stage 2 Scoping Assessment, ORNL/TM-2005/194 (Baxter 2005). The 2005 study report describes the HVAC options considered, the ranking criteria used, and the system rankings by priority. In 2006, the two top-ranked options from the 2005 study, air-source and ground-source versions of a centrally ducted integrated heat pump (IHP) system, were subjected to an initial business case study. The IHPs were subjected to a more rigorous hourly-based assessment of their performance potential compared to a baseline suite of equipment of legally minimum efficiency that provided the same heating, cooling, water heating, demand dehumidification, and ventilation services as the IHPs. Results were summarized in a project report, Initial Business Case Analysis of Two Integrated Heat Pump HVAC Systems for Near-Zero-Energy Homes, ORNL/TM-2006/130 (Baxter 2006a). The present report is an update to that document which summarizes results of an analysis of the impact of adding a humidifier to the HVAC system to maintain minimum levels of space relative humidity (RH) in winter. The space RH in winter has direct impact on occupant comfort and on control of dust mites, many types of disease bacteria, and 'dry air' electric shocks. Chapter 8 in ASHRAE's 2005 Handbook of Fundamentals (HOF) suggests a 30% lower limit on RH for indoor temperatures in the range of {approx}68-69F based on comfort (ASHRAE 2005). Table 3 in chapter 9 of the same reference suggests a 30-55% RH range for winter as established by a Canadian study of exposure limits for residential indoor environments (EHD 1987). Harriman, et al (2001) note that for RH levels of 35% or higher, electrostatic shocks are minimized and that dust mites cannot live at RH levels below 40%. They also indicate that many disease bacteria life spans are minimized when space RH is held within a 30-60% range. From the foregoing it is reasonable to assume that a winter space RH range of 30-40% would be an acceptable compromise between comfort considerations and limitation of growth rates for dust mites and many bacteria. In addition it reports som

Baxter, Van D [ORNL

2007-02-01T23:59:59.000Z

240

Pulse pileup statistics for energy discriminating photon counting x-ray detectors  

SciTech Connect

Purpose: Energy discriminating photon counting x-ray detectors can be subject to a wide range of flux rates if applied in clinical settings. Even when the incident rate is a small fraction of the detector's maximum periodic rate N{sub 0}, pulse pileup leads to count rate losses and spectral distortion. Although the deterministic effects can be corrected, the detrimental effect of pileup on image noise is not well understood and may limit the performance of photon counting systems. Therefore, the authors devise a method to determine the detector count statistics and imaging performance. Methods: The detector count statistics are derived analytically for an idealized pileup model with delta pulses of a nonparalyzable detector. These statistics are then used to compute the performance (e.g., contrast-to-noise ratio) for both single material and material decomposition contrast detection tasks via the Cramer-Rao lower bound (CRLB) as a function of the detector input count rate. With more realistic unipolar and bipolar pulse pileup models of a nonparalyzable detector, the imaging task performance is determined by Monte Carlo simulations and also approximated by a multinomial method based solely on the mean detected output spectrum. Photon counting performance at different count rates is compared with ideal energy integration, which is unaffected by count rate. Results: The authors found that an ideal photon counting detector with perfect energy resolution outperforms energy integration for our contrast detection tasks, but when the input count rate exceeds 20%N{sub 0}, many of these benefits disappear. The benefit with iodine contrast falls rapidly with increased count rate while water contrast is not as sensitive to count rates. The performance with a delta pulse model is overoptimistic when compared to the more realistic bipolar pulse model. The multinomial approximation predicts imaging performance very close to the prediction from Monte Carlo simulations. The monoenergetic image with maximum contrast-to-noise ratio from dual energy imaging with ideal photon counting is only slightly better than with dual kVp energy integration, and with a bipolar pulse model, energy integration outperforms photon counting for this particular metric because of the count rate losses. However, the material resolving capability of photon counting can be superior to energy integration with dual kVp even in the presence of pileup because of the energy information available to photon counting. Conclusions: A computationally efficient multinomial approximation of the count statistics that is based on the mean output spectrum can accurately predict imaging performance. This enables photon counting system designers to directly relate the effect of pileup to its impact on imaging statistics and how to best take advantage of the benefits of energy discriminating photon counting detectors, such as material separation with spectral imaging.

Wang, Adam S.; Harrison, Daniel; Lobastov, Vladimir; Tkaczyk, J. Eric [Departments of Electrical Engineering and Radiology, Stanford University, Stanford, California 94305 (United States); GE Global Research Center, Niskayuna, New York 12309 (United States)

2011-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

RHESSI MICROFLARE STATISTICS. II. X-RAY IMAGING, SPECTROSCOPY, AND ENERGY DISTRIBUTIONS I. G. Hannah, S. Christe,1  

E-Print Network (OSTI)

RHESSI MICROFLARE STATISTICS. II. X-RAY IMAGING, SPECTROSCOPY, AND ENERGY DISTRIBUTIONS I. G distribution of RHESSI flares and compare it to previous thermal energy distributions of transient events. We flares down to nanoflares. The fre- quency distribution of the energy in these events has been studied

California at Berkeley, University of

242

North Atlantic Power Dissipation Index (PDI) and Accumulated Cyclone Energy (ACE): Statistical Modeling and Sensitivity to Sea Surface Temperature Changes  

Science Conference Proceedings (OSTI)

This study focuses on the statistical modeling of the power dissipation index (PDI) and accumulated cyclone energy (ACE) for the North Atlantic basin over the period 1949–2008, which are metrics routinely used to assess tropical storm activity, ...

Gabriele Villarini; Gabriel A. Vecchi

2012-01-01T23:59:59.000Z

243

Today in Energy - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... Alternative Fuels. Includes hydropower, solar, wind, geothermal, ...

244

PERTURBATION-THEORY RULES FOR COMPUTING THE SELF-ENERGY OPERATOR IN QUANTUM STATISTICAL MECHANICS  

E-Print Network (OSTI)

D. J. Thouless, The Quantum Mechanics of Many-Body Systems (1962). Ba~n, Quantum Statistical Mechanics (Benjamin, I. E.IN QUANTUM STATISTICAL MECHANICS Berkeley, California

Baym, Gordon

2008-01-01T23:59:59.000Z

245

Annual energy review 1996  

Science Conference Proceedings (OSTI)

This report presents historical energy statistics on all major energy activities. The statistics cover consumption, production, trade, stock, and prices, for all major energy commodities including fossil fuels, electricity, and renewable energy sources.

NONE

1997-07-01T23:59:59.000Z

246

Monthly Energy Review - February 2009  

Annual Energy Outlook 2012 (EIA)

2) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are...

247

Beam energy and centrality dependence of the statistical moments of the net-charge and net-kaon multiplicity distributions in Au+Au collisions at STAR  

E-Print Network (OSTI)

In part to search for a possible critical point (CP) in the phase diagram of hot nuclear matter, a Beam Energy Scan was performed at the Relativistic Heavy-Ion Collider at Brookhaven National Laboratory. The STAR experiment collected significant Au+Au data sets at beam energies, $\\sqrt{{\\rm s}_{\\rm NN}}$, of 7.7, 11.5, 19.6, 27, 39, 62.4, and 200 GeV. Lattice and phenomenological calculations suggest that the presence of a CP might result in divergences of the thermodynamic susceptibilities and correlation length. The statistical moments of the multiplicity distributions of particles reflecting conserved quantities, such as net-charge and net-strangeness, are expected to depend sensitively on these correlation lengths, making them attractive tools in the search for a possible critical point. The centrality and beam-energy dependence of the statistical moments of the net-charge multiplicity distributions will be discussed. The observables studied include the lowest four statistical moments (mean, variance, skewness, kurtosis) and the products of these moments. The measured moments of the net-kaon multiplicity distributions will also be presented. These will be compared to the predictions from approaches lacking critical behavior, such as the Hadron Resonance Gas model and Poisson statistics.

Daniel McDonald; for the STAR Collaboration

2012-10-26T23:59:59.000Z

248

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

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

249

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

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

250

U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... Alternative Fuels. Includes hydropower, solar, wind, geothermal, ...

251

A Self-Gravitational Upper Bound on Localized Energy, Including that of Virtual Particles and Quantum Fields, which Yields a Passable "Dark Energy" Density Estimate  

E-Print Network (OSTI)

The self-gravitational correction to a localized spherically symmetric static energy distribution is obtained from an upgraded Newtonian model which is energetically self-consistent, and is also obtained from the Birkhoff-theorem extension of the unique "Newtonian" form of the free-space Schwarzschild metric into the interior region of its self-gravitationally corrected source. The two approaches yield identical results, which include a strict prohibition on the gravitational redshift factor ever being other than finite, real and positive. Consequently, the self-gravitationally corrected energy within a sphere of radius r is bounded by r times the "Planck force", namely the fourth power of c divided by G. Even in the absence of spherical symmetry, the same bound, to within a factor of two, is shown to apply. That energy bound rules out any physical singularity at the Schwarzschild radius, and it also cuts off the mass deviation of any interacting quantum virtual particle at the Planck mass. Because quantum uncertainty makes the minimum energy of a quantum field infinite, such a field's self-gravitationally corrected energy essentially attains the Planck force times that field's boundary radius r. Roughly estimating r as c times the age of the universe yields a "dark energy" density of 1.7 joules per cubic kilometer. But if r is put to the Planck length appropriate to the birth of the universe, that energy density changes to the enormous Planck unit value, which could quite conceivably drive primordial "inflation". The density of "dark energy" decreases as the universe expands, but more slowly than the density of ordinary matter decreases. Its evolution suggests "dark energy" has inhomogeneities, which may be "dark matter".

Steven Kenneth Kauffmann

2012-11-18T23:59:59.000Z

252

A Comparative Study of Observed Northern Hemisphere Circulation Statistics Based on GFDL and NMC Analyses. Part II: Transient Eddy Statistics and the Energy Cycle  

Science Conference Proceedings (OSTI)

The comparison between two sets of observed circulation statistics undertaken by Lau and Oort (1981) is continued in this study by examining the temporal variance and covariance statistics in these sets. The first (GFDL) set is compiled by ...

Ngar-Cheung Lau; Abraham H. Oort

1982-08-01T23:59:59.000Z

253

PERTURBATION-THEORY RULES FOR COMPUTING THE SELF-ENERGY OPERATOR IN QUANTUM STATISTICAL MECHANICS  

E-Print Network (OSTI)

J. Thouless) The Quantu~ Mechanics of V ~ny-Body Systems (IN QUANTUM STA TISTICAL MECHANICS Gordon BayrrL and AndrewIN QUANTUM STATISTICAL MECHANICS Gordon Baym and Andrew M.

Baym, Gordon

2008-01-01T23:59:59.000Z

254

Ris Energy Report 5 Technical challenges to energy systems' operation and markets 55 A future energy system that includes a high propor-  

E-Print Network (OSTI)

become an issue, as the areas with good potential for wind power and wave energy are often located some of wind power plants Large wind farms such as the 160 MW Horns Rev and the 165 MW Nysted offshore wind to conventional power plant blocks. To obtain the maximum benefit from an overall power system, wind power should

255

Performance Profiles of Major Energy Producers - Energy ...  

U.S. Energy Information Administration (EIA)

State Energy Data System (SEDS) › International Energy Statistics ... which includes the addition of three refinery joint ventures to the FRS survey.

256

South Dakota mobile-home energy-savings guide: including plans for a solar greenhouse you can build  

SciTech Connect

Mobile homes are increasingly popular in South Dakota, but they present special problems when it comes to saving energy dollars. This booklet describes a few simple low-cost and no-cost steps to solving these problems. It looks at the mobile home as a complete system made up of smaller sub-systems: natural, physical, and human. Together they form the total energy-use pattern of the home. 6 figures, 1 table.

1980-01-01T23:59:59.000Z

257

statistical | OpenEI  

Open Energy Info (EERE)

statistical statistical Dataset Summary Description No description given. Source World Bank Date Released Unknown Date Updated Unknown Keywords coal energy imports energy production energy use fossil fuels Fuel global Hydroelectric international nuclear oil renewables statistical statistics world bank Data application/zip icon Data in XML Format (zip, 1 MiB) application/zip icon Data in Excel Format (zip, 1.3 MiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1970 - 2007 License License Other or unspecified, see optional comment below Comment Summary of Usage Terms ---------------------- You are free to copy, distribute, adapt, display or include the data in other products for commercial and noncommercial purposes at no cost subject to certain limitations summarized below. You must include attribution for the data you use in the manner indicated in the metadata included with the data. You must not claim or imply that The World Bank endorses your use of the data by or use The World Bank's logo(s) or trademark(s) in conjunction with such use. Other parties may have ownership interests in some of the materials contained on The World Bank Web site. For example, we maintain a list of some specific data within the Datasets that you may not redistribute or reuse without first contacting the original content provider, as well as information regarding how to contact the original content provider. Before incorporating any data in other products, please check the list: Terms of use: Restricted Data. The World Bank makes no warranties with respect to the data and you agree The World Bank shall not be liable to you in connection with your use of the data. Links ----- Summary of Terms: http://data.worldbank.org/summary-terms-of-use Detailed Usage Terms: http://www.worldbank.org/terms-datasets

258

Valuation of wind energy projects and statistical analysis of wind power  

E-Print Network (OSTI)

As energy becomes an increasingly important issue for generations to come, it is crucial to develop tools for valuing and understanding energy projects from an economic perspective since ultimately only economically viable ...

Nanopoulos, Andrew

2012-01-01T23:59:59.000Z

259

Hawaii Energy Resource Overviews. Volume 4. Impact of geothermal resource development in Hawaii (including air and water quality)  

DOE Green Energy (OSTI)

The environmental consequences of natural processes in a volcanic-fumerolic region and of geothermal resource development are presented. These include acute ecological effects, toxic gas emissions during non-eruptive periods, the HGP-A geothermal well as a site-specific model, and the geothermal resources potential of Hawaii. (MHR)

Siegel, S.M.; Siegel, B.Z.

1980-06-01T23:59:59.000Z

260

Ernest Orlando Lawrence Awards Ceremony for 2011 Award Winners (Presentations, including remarks by Energy Secretary, Dr. Steven Chu)  

Science Conference Proceedings (OSTI)

The winners for 2011 of the Department of Energy's Ernest Orlando Lawrence Award were recognized in a ceremony held May 21, 2012. Dr. Steven Chu and others spoke of the importance of the accomplishments and the prestigious history of the award. The recipients of the Ernest Orlando Lawrence Award for 2011 are: Riccardo Betti (University of Rochester); Paul C. Canfield (Ames Laboratory); Mark B. Chadwick (Los Alamos National Laboratory); David E. Chavez (Los Alamos National Laboratory); Amit Goyal (Oak Ridge National Laboratory); Thomas P. Guilderson (Lawrence Livermore National Laboratory); Lois Curfman McInnes (Argonne National Laboratory); Bernard Matthew Poelker (Thomas Jeffereson National Accelerator Facility); and Barry F. Smith (Argonne National Laboratory).

Chu, Steven (U.S. Energy Secretary)

2012-05-21T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Evaluating and Monitoring Energy Conservation in Multibuilding Clusters with Statistical Models  

E-Print Network (OSTI)

A standardized method for modeling energy consumption in mixed clusters of residential and commercial buildings is described. The basic approach is to delineate energy consumption along three dimensions: time, day-length, and temperature. The temperature-sensitive portion of energy consumption is captured by the Princeton Scorekeeping Method (PRISM). The time- and daylength-sensitive portions of energy consumption are captured by other variables. The models were designed to aid in determining the scope and performance of alternative financing activities on a U.S. Army base.

Darwin, R. F.; Mazzucchi, R. P.

1988-01-01T23:59:59.000Z

262

Statistical Derivation of an Accurate Energy Consumption Model for Embedded Processors  

E-Print Network (OSTI)

The energy consumption of software is becoming an increasingly important issue in designing mobile embedded systems where batteries are used as the main power source. As a consequence, recently, a number of promising techniques have been proposed to optimize software for reduced energy consumption.

Sheayun Lee; Andreas Ermedahl; Sang Lyul Min; et a l.; Min Naehyuck Chang

2002-01-01T23:59:59.000Z

263

Monthly Energy Review  

Science Conference Proceedings (OSTI)

This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

NONE

1996-05-28T23:59:59.000Z

264

Workplan for FY1978 to FY1982 including a computerized reporting and monitoring system for geothermal energy development  

DOE Green Energy (OSTI)

It is proposed that the on-going compilation and critical evaluation of data be expanded to include a computerized system for monitoring and reporting the development of geothermal resources from the discovery phase to power on-line. Data would be covered which is site-specific and therefore unique to the geothermal area. Computer printouts are to contain a listing of each geothermal site which will be classified according to the status of development for producing electrical power. The result of the work will consist of a report containing a description of the data at each site and recommendaions for additional data needs in technological, economic, or institutional areas. The computerized system will allow for ease in updating and remote accessing by off-site users.

Phillips, S.L.; Tavana, M.; Leung, K.; Steyer, M.; Palen, W.A.; Schwartz, S.R.

1978-12-01T23:59:59.000Z

265

JGI - Statistics  

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

Statistics Statistics FY 2014 Overall Sequencing Progress, Updated Quarterly Quarter Total Bases (trillions) Operating Hours Goal Actual Total* Actual % of Goal Goal (hours)** Actual Total Actual % Goal Q1 2014 15,000 18.827 126% 2,164 2208 102% Q2 2014 17,000 2,117 Q3 2014 18,000 2,140 Q4 2014 18,000 2,164 FY 2014 Total 68,000 18.827 28% 8,585 2208 26% * Includes Illumina HiSeq, MiSeq and PacBio sequencing platforms. ** Operating Hour target is based on 98% of the total available hours. FY 2013 Overall Sequencing Progress, Updated Quarterly Quarter Total Bases (Billions) Operating Hours Goal Actual Total* Actual % of Goal Goal (hours)** Actual Total Actual % Goal Q1 2013 15,000 20,004 133% 2,164 2,208 102%

266

A Statistical Analysis on Operation Scheduling for an Energy Network Project  

Science Conference Proceedings (OSTI)

Distributed power generation, using renewable energy, has been attracting attention to cope with global environment issues; a microgrid is a promising configuration for distributed power generation. To augment the stability and efficiency of the microgrid, ... Keywords: Schedules,Power generation,Electricity,Optimization,Fuel cells,Vectors,Batteries,operation scheduling,Schedules,Power generation,Electricity,Optimization,Fuel cells,Vectors,Batteries,principal component analysis.,Smart grid,microgrid,energy network

Yoshihiro Sugaya; Shinichiro Omachi; Akira Takeuchi; Yousuke Nozaki

2012-09-01T23:59:59.000Z

267

A-Z Index - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... Alternative Fuels. Includes hydropower, solar, wind, geothermal, ...

268

Statistical Analysis of Historical State-Level Residential Energy Consumption Trends  

SciTech Connect

Developing an accurate picture of the major trends in energy consumption in the nation’s stock of residential buildings can serve a variety of national and regional program planning and policy needs related to energy use. This paper employs regression analysis and uses the PRISM (Princeton Scorekeeping Method) approach with historical data to provide some insight into overall changes in the thermal integrity of the residential building stock by state. Although national energy use intensity estimates exist in aggregate, these numbers shed little light on what drives building consumption, as opposing influences are hidden within the measurement (e.g., more appliances that increase energy use while shell improvements reduce it). This study addresses this issue by estimating changes in the reference temperatures that best characterize the existing residential building stock on a state basis. Improvements in building thermal integrity are reflected by declines in the heating reference temperature, holding other factors constant. Heating and cooling-day estimates to various reference temperatures were computed from monthly average temperature data for approximately 350 climatic divisions in the U.S. A simple cross-sectional analysis is employed to try to explain the differential impacts across states. Among other factors, this analysis considers the impact that the relative growth in the number of residential buildings and the stringency of building energy codes has had on residential building energy use. This paper describes the methodology used, presents results, and suggests directions for future research.

Belzer, David B.; Cort, Katherine A.

2004-08-01T23:59:59.000Z

269

Extreme Value Statistics of the Total Energy in an Intermediate-Complexity Model of the Midlatitude Atmospheric Jet. Part I: Stationary Case  

Science Conference Proceedings (OSTI)

A baroclinic model of intermediate complexity for the atmospheric jet at middle latitudes is used as a stochastic generator of atmosphere-like time series. In this case, time series of the total energy of the system are considered. Statistical ...

Mara Felici; Valerio Lucarini; Antonio Speranza; Renato Vitolo

2007-07-01T23:59:59.000Z

270

An overview of component qualification using Bayesian statistics and energy methods.  

Science Conference Proceedings (OSTI)

The below overview is designed to give the reader a limited understanding of Bayesian and Maximum Likelihood (MLE) estimation; a basic understanding of some of the mathematical tools to evaluate the quality of an estimation; an introduction to energy methods and a limited discussion of damage potential. This discussion then goes on to presented a limited presentation as to how energy methods and Bayesian estimation are used together to qualify components. Example problems with solutions have been supplied as a learning aid. Bold letters are used to represent random variables. Un-bolded letter represent deterministic values. A concluding section presents a discussion of attributes and concerns.

Dohner, Jeffrey Lynn

2011-09-01T23:59:59.000Z

271

Statistical Power and Performance Modeling for Optimizing the Energy Efficiency of Scientific Computing  

Science Conference Proceedings (OSTI)

High-performance computing (HPC) has become an indispensable resource in science and engineering, and it has oftentimes been referred to as the "thirdpillar" of science, along with theory and experimentation. Performance tuning is a key aspect in utilizing ... Keywords: energy-efficiency tuning, green supercomputing, regression modeling

Balaji Subramaniam; Wu-chun Feng

2010-12-01T23:59:59.000Z

272

Organizational Epidemiology and Energy Facilities: Statistical Techniques for Empirical Analysis and Prediction of Human Performance Trends  

Science Conference Proceedings (OSTI)

This report describes an empirical study of the prediction of human performance and energy facility performance based on analysis of historical data relating to worker-, workplace-, management-, and organization-centered factors. Findings verify the relationship between antecedent conditions of human performance and facility productivity, reliability, and safety.

2002-07-23T23:59:59.000Z

273

Technical support document: Energy efficiency standards for consumer products: Refrigerators, refrigerator-freezers, and freezers including draft environmental assessment, regulatory impact analysis  

Science Conference Proceedings (OSTI)

The Energy Policy and Conservation Act (P.L. 94-163), as amended by the National Appliance Energy Conservation Act of 1987 (P.L. 100-12) and by the National Appliance Energy Conservation Amendments of 1988 (P.L. 100-357), and by the Energy Policy Act of 1992 (P.L. 102-486), provides energy conservation standards for 12 of the 13 types of consumer products` covered by the Act, and authorizes the Secretary of Energy to prescribe amended or new energy standards for each type (or class) of covered product. The assessment of the proposed standards for refrigerators, refrigerator-freezers, and freezers presented in this document is designed to evaluate their economic impacts according to the criteria in the Act. It includes an engineering analysis of the cost and performance of design options to improve the efficiency of the products; forecasts of the number and average efficiency of products sold, the amount of energy the products will consume, and their prices and operating expenses; a determination of change in investment, revenues, and costs to manufacturers of the products; a calculation of the costs and benefits to consumers, electric utilities, and the nation as a whole; and an assessment of the environmental impacts of the proposed standards.

NONE

1995-07-01T23:59:59.000Z

274

Cluster Statistics  

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

Statistics Cluster Statistics Genepool Cluster Utilization Genepool Usage by Group Process Accounting Data (houseHunter) Genepool Memory Heatmaps Genepool Time Heatmaps UGE...

275

Monthly energy review, January 1998  

SciTech Connect

This report presents an overview of recent monthly energy statistics. Major activities covered include production, consumption, trade, stocks, and prices for fossil fuels, electricity, and nuclear energy.

NONE

1998-01-01T23:59:59.000Z

276

Technical support document: Energy conservation standards for consumer products: Dishwashers, clothes washers, and clothes dryers including: Environmental impacts; regulatory impact analysis  

SciTech Connect

The Energy Policy and Conservation Act as amended (P.L. 94-163), establishes energy conservation standards for 12 of the 13 types of consumer products specifically covered by the Act. The legislation requires the Department of Energy (DOE) to consider new or amended standards for these and other types of products at specified times. This Technical Support Document presents the methodology, data and results from the analysis of the energy and economic impacts of standards on dishwashers, clothes washers, and clothes dryers. The economic impact analysis is performed in five major areas: An Engineering Analysis, which establishes technical feasibility and product attributes including costs of design options to improve appliance efficiency. A Consumer Analysis at two levels: national aggregate impacts, and impacts on individuals. The national aggregate impacts include forecasts of appliance sales, efficiencies, energy use, and consumer expenditures. The individual impacts are analyzed by Life-Cycle Cost (LCC), Payback Periods, and Cost of Conserved Energy (CCE), which evaluate the savings in operating expenses relative to increases in purchase price; A Manufacturer Analysis, which provides an estimate of manufacturers' response to the proposed standards. Their response is quantified by changes in several measures of financial performance for a firm. An Industry Impact Analysis shows financial and competitive impacts on the appliance industry. A Utility Analysis that measures the impacts of the altered energy-consumption patterns on electric utilities. A Environmental Effects analysis, which estimates changes in emissions of carbon dioxide, sulfur oxides, and nitrogen oxides, due to reduced energy consumption in the home and at the power plant. A Regulatory Impact Analysis collects the results of all the analyses into the net benefits and costs from a national perspective. 47 figs., 171 tabs. (JF)

1990-12-01T23:59:59.000Z

277

Technical support document: Energy conservation standards for consumer products: Dishwashers, clothes washers, and clothes dryers including: Environmental impacts; regulatory impact analysis  

SciTech Connect

The Energy Policy and Conservation Act as amended (P.L. 94-163), establishes energy conservation standards for 12 of the 13 types of consumer products specifically covered by the Act. The legislation requires the Department of Energy (DOE) to consider new or amended standards for these and other types of products at specified times. This Technical Support Document presents the methodology, data and results from the analysis of the energy and economic impacts of standards on dishwashers, clothes washers, and clothes dryers. The economic impact analysis is performed in five major areas: An Engineering Analysis, which establishes technical feasibility and product attributes including costs of design options to improve appliance efficiency. A Consumer Analysis at two levels: national aggregate impacts, and impacts on individuals. The national aggregate impacts include forecasts of appliance sales, efficiencies, energy use, and consumer expenditures. The individual impacts are analyzed by Life-Cycle Cost (LCC), Payback Periods, and Cost of Conserved Energy (CCE), which evaluate the savings in operating expenses relative to increases in purchase price; A Manufacturer Analysis, which provides an estimate of manufacturers' response to the proposed standards. Their response is quantified by changes in several measures of financial performance for a firm. An Industry Impact Analysis shows financial and competitive impacts on the appliance industry. A Utility Analysis that measures the impacts of the altered energy-consumption patterns on electric utilities. A Environmental Effects analysis, which estimates changes in emissions of carbon dioxide, sulfur oxides, and nitrogen oxides, due to reduced energy consumption in the home and at the power plant. A Regulatory Impact Analysis collects the results of all the analyses into the net benefits and costs from a national perspective. 47 figs., 171 tabs. (JF)

Not Available

1990-12-01T23:59:59.000Z

278

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 -- --

279

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..........................................

280

AMERICAN STATISTICAL ASSOCIATION (ASA)  

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

AMERICAN STATISTICAL ASSOCIATION (ASA) AMERICAN STATISTICAL ASSOCIATION (ASA) MEETING OF THE COMMITTEE ON ENERGY STATISTICS WITH THE ENERGY INFORMATION ADMINISTRATION (EIA) Washington, D.C. Friday, April 29, 2005 COMMITTEE MEMBERS: NICOLAS HENGARTNER, Chair Los Alamos National Laboratory MARK BERNSTEIN RAND Corporation CUTLER CLEVELAND Center for Energy and Environmental Studies JAE EDMONDS Pacific Northwest National Laboratory MOSHE FEDER Research Triangle Institute BARBARA FORSYTH Westat WALTER HILL St. Mary's College of Maryland NEHA KHANNA Binghamton University NAGARAJ K. NEERCHAL University of Maryland Baltimore County SUSAN M. SEREIKA University of Pittsburgh DARIUS SINGPURWALLA LECG RANDY R. SITTER Simon Fraser University ALSO PRESENT: MARGOT ANDERSON Energy Information Administration ALSO PRESENT (CONT'D):

Note: This page contains sample records for the topic "include energy statistics" 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

Statistics of energy partitions for many-particle systems in arbitrary dimension  

E-Print Network (OSTI)

In some previous articles, we defined several partitions of the total kinetic energy T of a system of N classical particles in the d-dimensional Euclidean space into components corresponding to various modes of motion. In the present paper, we propose formulas for the mean values of these components in the normalization T=1 (for any d and N) under the assumption that the masses of all the particles are equal. These formulas are proven at the "physical level" of rigor and numerically confirmed for planar systems (d=2) at N from 3 through 100. The case where the masses of the particles are chosen at random is also considered. The paper complements our article of 2008 [Russian J Phys Chem B, 2(6), 947-963] where similar numerical experiments were carried out for spatial systems (d=3) at N from 3 through 100.

Vincenzo Aquilanti; Andrea Lombardi; Mikhail B. Sevryuk

2013-01-11T23:59:59.000Z

282

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.........................................................................................................

283

High Temperature Superconductors: From Delivery to Applications (Presentation from 2011 Ernest Orlando Lawrence Award-winner, Dr. Amit Goyal, and including introduction by Energy Secretary, Dr. Steven Chu)  

Science Conference Proceedings (OSTI)

Dr. Amit Goyal, a high temperature superconductivity (HTS) researcher at Oak Ridge National Laboratory, was named a 2011 winner of the Department of Energy's Ernest Orlando Lawrence Award honoring U.S. scientists and engineers for exceptional contributions in research and development supporting DOE and its mission. Winner of the award in the inaugural category of Energy Science and Innovation, Dr. Goyal was cited for his work in 'pioneering research and transformative contributions to the field of applied high temperature superconductivity, including fundamental materials science advances and technical innovations enabling large-scale applications of these novel materials.' Following his basic research in grain-to-grain supercurrent transport, Dr. Goyal focused his energy in transitioning this fundamental understanding into cutting-edge technologies. Under OE sponsorship, Dr. Goyal co-invented the Rolling Assisted Bi-Axially Textured Substrate technology (RABiTS) that is used as a substrate for second generation HTS wires. OE support also led to the invention of Structural Single Crystal Faceted Fiber Substrate (SSIFFS) and the 3-D Self Assembly of Nanodot Columns. These inventions and associated R&D resulted in 7 R&D 100 Awards including the 2010 R&D Magazine's Innovator of the Year Award, 3 Federal Laboratory Consortium Excellence in Technology Transfer National Awards, a DOE Energy100 Award and many others. As a world authority on HTS materials, Dr. Goyal has presented OE-sponsored results in more than 150 invited talks, co-authored more than 350 papers and is a fellow of 7 professional societies.

Goyal, Amit (Oak Ridge National Laboratory)

2012-05-22T23:59:59.000Z

284

International Energy Statistics  

U.S. Energy Information Administration (EIA)

74,417.456 74,305.928 74,911.892 74,863.282 75,324.313 74,445.443 73,490.452 73,458.588 72,696.672 73,406.614 ...

285

International Energy Statistics  

U.S. Energy Information Administration (EIA)

1,954.459 1,954.459 1,954.459 1,954.459 1,954.459 1,954.459 1,954.459 1,954.459 1,954.459 1,954.459 ...

286

International Energy Statistics  

U.S. Energy Information Administration (EIA)

1,954.148 1,954.148 1,954.148 1,954.148 1,954.148 1,964.148 1,964.148 1,964.148 1,974.148 1,984.148 ...

287

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Indonesia 289.246 313.947 330.795 355.520 371.960 370.191 405.701 414.549 426.790 Japan 1,249.720 ...

288

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Pakistan 27.506 27.822 31.503 Papua New Guinea 1.246 1.245 1.250 Philippines 20.529 20.079 17.717 ...

289

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Nuclear Electricity Installed Capacity (Million Kilowatts) Loading ... Units Conversion ... Pakistan 0.462 0.462 0.462 0.462 ...

290

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Nuclear: Renewables: Total Fossil Fuels: Hydroelectric Pumped Storage: ... Pakistan 0.462 6.592 0 0 0.006 0 0.006 6.598 ...

291

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Nuclear Electricity Net Generation (Billion Kilowatthours) ... Pakistan 2.406 2.548 2.310 1.739 2.505 Papua New ...

292

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Pakistan 90.802 Papua New Guinea 3.327 Philippines 57.080 Samoa 0.113 Singapore 39.640 Solomon Islands ...

293

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Iran 2,497.360 2,539.650 2,617.630 2,475.160 2,296.621 2,377.195 Iraq 1,381.150 1,479.820 1,617.920 1,766.930 ...

294

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Peru 41.885 Puerto Rico 32.353 Saint Kitts and Nevis 0.270 Saint Lucia 0.413 Saint Vincent/Grenadines 0.195 Suriname ...

295

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Note: Import and export data for natural gas in BTUs is currently unavailable as we improve our methodology for this calculation. We will repost the data once this ...

296

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Kazakhstan 195.355 Kyrgyzstan 7.793 Latvia 8.475 Lithuania 16.050 Moldova 6.467 Russia 1,788.136 ...

297

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Jordan 20.657 Kuwait 86.491 Lebanon 19.184 Oman 52.746 Palestinian Territories 2.042 Qatar 68.237 Saudi ...

298

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Jordan: 8 : 89 : 0 : 97 : Kuwait: 414 : 31 : 0 : 446 : Lebanon: 0 : 5 : 0 : 5 : Oman: 957 : 67 : 404 : 621 : Qatar: 3,402 : 0 : 3,779 : 770 : Saudi ...

299

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Carbon Intensity using Market Exchange Rates (Metric Tons of Carbon Dioxide per Thousand Year 2005 U.S. Dollars) Loading...

300

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Nuclear: Renewables: Total Fossil Fuels: Hydroelectric Pumped Storage: Total Electricity Capacity: Hydroelectric: Non-Hydroelectric Renewables: Total: ...

Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Jordan 0.008 Kuwait 6.280 Lebanon 0.004 Oman 2.502 Palestinian Territories 0 Qatar 5.329 Saudi Arabia ...

302

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Jordan 11.286 Kuwait 42.130 Lebanon 11.456 Oman 12.526 Palestinian Territories 4.236 Qatar 18.789 Saudi ...

303

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Motor Gasoline: Jet Fuel: Kerosene: Distillate Fuel Oil: Residual Fuel Oil: Liquefied Petroleum Gases: Other Products: Total: North America 622.131

304

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Recoverable Coal (Million Short Tons) Loading... Units Conversion Download Excel: 2008 North America 269,343 Bermuda ...

305

International Energy Statistics  

U.S. Energy Information Administration (EIA)

CO2 Emissions | Heat Content ; Natural Gas. All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content ; Coal.

306

International Energy Statistics  

U.S. Energy Information Administration (EIA)

413.001 407.105 420.839 425.125 461.675 463.159 440.631 437.035 394.366 Bosnia and Herzegovina NA NA ...

307

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Motor Gasoline: Jet Fuel: Kerosene: Distillate Fuel Oil: Residual Fuel Oil: Liquefied Petroleum Gases: Other Products: Total: World 22,069.0 5,219.8

308

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Bosnia and Herzegovina 3.831 3.974 3.660 3.706 3.911 Bulgaria 13.561 15.130 14.838 14.615 14.737 ...

309

International Energy Statistics  

U.S. Energy Information Administration (EIA)

4,982.645 5,085.097 5,031.357 5,027.355 5,080.033 5,150.065 5,159.833 5,092.968 5,038.742 5,030.333 ...

310

International Energy Statistics  

U.S. Energy Information Administration (EIA)

CO2 Emissions | Heat Content ; Natural Gas. All Flows | Production | Consumption | ... Portugal 0 0 0 0 0 0 0 ...

311

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Oil Supply (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 2008 2009 2010 2011 2012 ...

312

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Unit: Biodiesel Production (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 2005 2006 2007 2008 ...

313

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Unit: Hydroelectricity Net Generation (Billion Kilowatthours) Loading... Units Conversion Download Excel: 2005 ...

314

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Unit: Wind Electricity Net Consumption (Billion Kilowatthours) Loading... Units Conversion Download Excel: We have ...

315

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Unit: Total Oil Supply (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 2008 2009 2010 2011 ...

316

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Unit: Total Petroleum Consumption (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 1980 ...

317

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Unit: Total Oil Supply (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 1980 1981 1982 1983 ...

318

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Puerto Rico NA Saint Kitts and Nevis NA Saint Lucia NA Saint Vincent/Grenadines NA Suriname NA Trinidad ...

319

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Electricity Distribution Losses (Billion Kilowatthours) ... Philippines 6.817 6.885 7.608 7.680 7.500 Footnotes: ...

320

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Hydroelectric Pumped Storage Electricity Installed Capacity (Million Kilowatts) ... Philippines 0 0 0 0 0 0 ...

Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; Country; Country: Tip: Hold 'Ctrl' to select multiple countries ...

322

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Total Renewable Electricity Net Generation (Billion Kilowatthours) ... Philippines 18.789 18.224 20.359 18.752 20.529 Samoa ...

323

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; Country; Country: Tip: Hold 'Ctrl' to select multiple ...

324

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; Country; Country: Tip: Hold 'Ctrl' to select multiple countries Start ...

325

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; ... Philippines 24.6 24.4 32.9 26.6 20.0 Saudi Arabia ...

326

International Energy Statistics  

U.S. Energy Information Administration (EIA)

--- = Not applicable (s) = Value is too small for the number of decimal places shown NA = Not available W = Data withheld to avoid disclosure

327

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Greece 91.298 Hungary 49.563 Iceland 3.809 Ireland 36.568 Italy 400.939 Luxembourg 11.869 Macedonia ...

328

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Indonesia 63,807 63,773 Japan 181,497 206,125 Kiribati 0 0 Korea, North 31,900 30,805 Korea, South ...

329

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Nuclear: Renewables: Total Fossil Fuels: Hydroelectric Pumped Storage: Total Net Generation: Hydroelectric: Non-Hydroelectric Renewables: Total: Geothermal: Wind

330

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Wind: Solar, Tide and Wave: Biomass and Waste: Total: World 2,620.217 3,402.301 66.297 341.532 31.221 325.849 764.899 ...

331

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Wind Electricity Net Generation (Billion Kilowatthours) ... India 8.690 11.796 13.701 17.804 19.911 ...

332

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Pakistan 186 Papua New Guinea 33 Philippines 273 Samoa 0 Singapore 1,357 Solomon Islands 0 Sri Lanka ...

333

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Note: Import and export data for natural gas in BTUs is currently unavailable as we improve our methodology for this calculation. We will repost the ...

334

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Pakistan 60.6 Papua New Guinea 30.4 Philippines 32.9 Samoa 0 Singapore 0 Solomon Islands 0 Sri Lanka 0 ...

335

International Energy Statistics  

U.S. Energy Information Administration (EIA)

Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; Heat Content; Country; Country: Tip: Hold 'Ctrl ... United States 319.355 Footnotes:--- = Not ...

336

APS Operational Statistics  

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

physics, geology, and environmental science. The APS was built by the U.S. Department of Energy as a national user facility. This page provides access to operational statistics...

337

Monthly energy review: April 1996  

Science Conference Proceedings (OSTI)

This monthly report presents an overview of energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. A section is also included on international energy. The feature paper which is included each month is entitled ``Energy equipment choices: Fuel costs and other determinants.`` 37 figs., 59 tabs.

NONE

1996-04-01T23:59:59.000Z

338

Experimental Mathematics and Computational Statistics  

SciTech Connect

The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

Bailey, David H.; Borwein, Jonathan M.

2009-04-30T23:59:59.000Z

339

Statistical Considerations  

U.S. Energy Information Administration (EIA)

Ap pen dix F Statistical Considerations Survey Methodology The Form EIA-23 survey is designed to provide reliable estimates for reserves and production of crude oil,

340

Monthly energy review  

Science Conference Proceedings (OSTI)

This document presents an overview of the Energy Information Administration`s (EIA) recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

NONE

1997-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

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

342

Energy savings for heat-island reduction strategies in Chicago and Houston (including updates for Baton Rouge, Sacramento, and Salt Lake City)  

SciTech Connect

In 1997, the U.S. Environmental Protection Agency (EPA) established the ''Heat Island Reduction Initiative'' to quantify the potential benefits of Heat-Island Reduction (HIR) strategies (i.e., shade trees, reflective roofs, reflective pavements and urban vegetation) to reduce cooling-energy use in buildings, lower the ambient air temperature and improve urban air quality in cities, and reduce CO2 emissions from power plants. Under this initiative, the Urban Heat Island Pilot Project (UHIPP) was created with the objective of investigating the potential of HIR strategies in residential and commercial buildings in three initial UHIPP cities: Baton Rouge, LA; Sacramento, CA; and Salt Lake City, UT. Later two other cities, Chicago, IL and Houston, TX were added to the UHIPP. In an earlier report we summarized our efforts to calculate the annual energy savings, peak power avoidance, and annual CO2 reduction obtainable from the introduction of HIR strategies in the initial three cities. This report summarizes the results of our study for Chicago and Houston. In this analysis, we focused on three building types that offer the highest potential savings: single-family residence, office and retail store. Each building type was characterized in detail by vintage and system type (i.e., old and new building constructions, and gas and electric heat). We used the prototypical building characteristics developed earlier for each building type and simulated the impact of HIR strategies on building cooling- and heating-energy use and peak power demand using the DOE-2.1E model. Our simulations included the impact of (1) strategically-placed shade trees near buildings [direct effect], (2) use of high-albedo roofing material on the building [direct effect], (3) urban reforestation with high-albedo pavements and building surfaces [indirect effect] and (4) combined strategies 1, 2, and 3 [direct and indirect effects]. We then estimated the total roof area of air-conditioned buildings in each city using readily obtainable data to calculate the metropolitan-wide impact of HIR strategies. The results show that in Chicago, potential annual energy savings of $30M could be realized by ratepayers from the combined direct and indirect effects of HIR strategies. Additionally, peak power avoidance is estimated at 400 MW and the reduction in annual carbon emissions at 58 ktC. In Houston, the potential annual energy savings are estimated at $82M, with an avoidance of 730 MW in peak power and a reduction in annual carbon emissions of 170 ktC.

Konopacki, S.; Akbari, H.

2002-02-28T23:59:59.000Z

343

Energy savings for heat-island reduction strategies in Chicago and Houston (including updates for Baton Rouge, Sacramento, and Salt Lake City)  

SciTech Connect

In 1997, the U.S. Environmental Protection Agency (EPA) established the ''Heat Island Reduction Initiative'' to quantify the potential benefits of Heat-Island Reduction (HIR) strategies (i.e., shade trees, reflective roofs, reflective pavements and urban vegetation) to reduce cooling-energy use in buildings, lower the ambient air temperature and improve urban air quality in cities, and reduce CO2 emissions from power plants. Under this initiative, the Urban Heat Island Pilot Project (UHIPP) was created with the objective of investigating the potential of HIR strategies in residential and commercial buildings in three initial UHIPP cities: Baton Rouge, LA; Sacramento, CA; and Salt Lake City, UT. Later two other cities, Chicago, IL and Houston, TX were added to the UHIPP. In an earlier report we summarized our efforts to calculate the annual energy savings, peak power avoidance, and annual CO2 reduction obtainable from the introduction of HIR strategies in the initial three cities. This report summarizes the results of our study for Chicago and Houston. In this analysis, we focused on three building types that offer the highest potential savings: single-family residence, office and retail store. Each building type was characterized in detail by vintage and system type (i.e., old and new building constructions, and gas and electric heat). We used the prototypical building characteristics developed earlier for each building type and simulated the impact of HIR strategies on building cooling- and heating-energy use and peak power demand using the DOE-2.1E model. Our simulations included the impact of (1) strategically-placed shade trees near buildings [direct effect], (2) use of high-albedo roofing material on the building [direct effect], (3) urban reforestation with high-albedo pavements and building surfaces [indirect effect] and (4) combined strategies 1, 2, and 3 [direct and indirect effects]. We then estimated the total roof area of air-conditioned buildings in each city using readily obtainable data to calculate the metropolitan-wide impact of HIR strategies. The results show that in Chicago, potential annual energy savings of $30M could be realized by ratepayers from the combined direct and indirect effects of HIR strategies. Additionally, peak power avoidance is estimated at 400 MW and the reduction in annual carbon emissions at 58 ktC. In Houston, the potential annual energy savings are estimated at $82M, with an avoidance of 730 MW in peak power and a reduction in annual carbon emissions of 170 ktC.

Konopacki, S.; Akbari, H.

2002-02-28T23:59:59.000Z

344

On a scale invariant model of statistical mechanics and the kinetic theory of ideal gas  

Science Conference Proceedings (OSTI)

A scale invariant model of statistical mechanics is applied to derive invariant Maxwell-Boltzmann speed and Planck energy spectrum of equilibrium statistical fields including that of isotropic stationary turbulence. The latter is shown to lead to the ... Keywords: Riemann hypothesis, TOE, kinetic theory of ideal gas, statistical mechanics, thermodynamics

Siavash H. Sohrab

2011-04-01T23:59:59.000Z

345

Monthly energy review, November 1996  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 75 tabs.

1996-11-01T23:59:59.000Z

346

Monthly energy review, May 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

NONE

1999-05-01T23:59:59.000Z

347

Monthly energy review, October 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

NONE

1998-10-01T23:59:59.000Z

348

Monthly energy review, February 1999  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 73 tabs.

NONE

1999-02-01T23:59:59.000Z

349

Monthly energy review, March 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 74 tabs.

NONE

1999-03-01T23:59:59.000Z

350

Monthly energy review, November 1997  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 91 tabs.

NONE

1997-11-01T23:59:59.000Z

351

Monthly energy review, August 1997  

SciTech Connect

The Monthly Energy Review for the month of August 1997, presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

NONE

1997-08-01T23:59:59.000Z

352

Monthly energy review, July 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs. 73 tabs.

NONE

1998-07-01T23:59:59.000Z

353

Monthly energy review, June 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 36 figs., 61 tabs.

NONE

1998-06-01T23:59:59.000Z

354

Support in statistical analysis and data processing to the Office of Energy Markets and End Use, Energy Information Administration (EIA), at the Dept. of Energy. Final report  

SciTech Connect

Energy consumption and expenditure data were tabulated by various demographic characteristics on regional and divisional levels. The amount of energy used at the household level for space heating and other uses were determined from the monthly utility data on natural gas and electricity usage. Joint consumption of home fuels and motor fuels was tabulated.

Not Available

1984-02-28T23:59:59.000Z

355

Sourcebook on the production of electricity from geothermal energy. Draft: Chapter 4, Section 4. 4. Status of the development of the total flow system for electric power production from geothermal energy. [Includes glossary  

DOE Green Energy (OSTI)

Discussion is presented under the following section headings: introduction; characteristics of wellhead fluid; energy conversion concepts (including subsections, the flashed steam system, the total flow concept, and comparison of total flow expanders); brine chemistry effects; a possible total flow system design; and references, bibliography, glossary, and figures. (JGB)

Austin, A.L.; Ryley, D.J.

1978-04-01T23:59:59.000Z

356

LCLS Publications: Statistics  

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

LCLS Publications: Statistics LCLS Publications: Statistics Sign In Launch the Developer Dashboard SLAC National Accelerator Laboratory DOE | Stanford | SLAC | SSRL | LCLS | AD | PPA | Photon Science | PULSE | SIMES LCLS : LCLS Publications: Statistics Linac Coherent Light Source An Office of Science User Facility Search this site... Search Help (new window) Top Link Bar LCLS Lasers Expand Lasers LCLS Quick Launch Home About LCLS Expand About LCLS LCLS News Expand LCLS News User Resources Expand User Resources Instruments Expand Instruments Proposals Publications Expand Publications Schedules Machine Status Machine FAQs Safety Organization Expand Organization Directories Expand Directories Staff Resources Contact Us All Site Content Department of Energy Page Content LCLS Publications: Statistics 2013 | 2012 | 2011 | 2010 | 2009 | Archive | Citations | Statistics

357

Covariance statistics of turbulence velocity components for wind-energy-conversion system design-homogeneous, isotropic case  

DOE Green Energy (OSTI)

When designing a wind energy converison system (WECS), it may be necessary to take into account the distribution of wind across the disc of rotation. The specific engineering applications include structural strength, fatigue, and control. This wind distribution consists of two parts, namely that associated with the mean wind profile and that associated with the turbulence velocity fluctuation field. The work reported herein is aimed at the latter, namely the distribution of turbulence velocity fluctuations across the WECS disk of rotation. A theory is developed for the two-time covariance matrix for turbulence velocity vector components for wind energy conversion system (WECS) design. The theory is developed for homogeneous and iotropic turbulance with the assumption that Taylor's hypothesis is valid. The Eulerian turbulence velocity vector field is expanded about the hub of the WECS. Formulae are developed for the turbulence velocity vector component covariance matrix following the WECS blade elements. It is shown that upon specification of the turbulence energy spectrum function and the WECS rotation rate, the two-point, two-time covariance matrix of the turbulent flow relative to the WECS bladed elements is determined. This covariance matrix is represented as the sum of nonstationary and stationary contributions. Generalized power spectral methods are used to obtain two-point, double frequency power spectral density functions for the turbulent flow following the blade elements. The Dryden turbulence model is used to demonstrate the theory. A discussion of linear system response analysis is provided to show how the double frequency turbulence spectra might be used to calculate response spectra of a WECS to turbulent flow. Finally the spectrum of the component of turbulence normal to the WECS disc of rotation, following the blade elements, is compared with experimental results.

Fichtl, G.H.

1983-09-01T23:59:59.000Z

358

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 -- -- --

359

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.......................

360

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 "include energy statistics" 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

GSE statistics without spin  

E-Print Network (OSTI)

Energy levels statistics following the Gaussian Symplectic Ensemble (GSE) of Random Matrix Theory have been predicted theoretically and observed numerically in numerous quantum chaotic systems. However in all these systems there has been one unifying feature: the combination of half-integer spin and time-reversal invariance. Here we provide an alternative mechanism for obtaining GSE statistics that is based on geometric symmetries of a quantum system which alleviates the need for spin. As an example, we construct a quantum graph with a particular discrete symmetry given by the quaternion group Q8. GSE statistics is then observed within one of its subspectra.

Christopher H. Joyner; Sebastian Müller; Martin Sieber

2013-02-11T23:59:59.000Z

362

AMERICAN STATISTICAL ASSOCIATION  

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

AMERICAN STATISTICAL ASSOCIATION AMERICAN STATISTICAL ASSOCIATION + + + + + COMMITTEE ON ENERGY STATISTICS + + + + + FALL MEETING + + + + + FRIDAY OCTOBER 17, 2003 + + + + + The Committee met in Room 8E089 in the Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., at 8:30 a.m., Jay Breidt, Chair, presiding. PRESENT F. JAY BREIDT Chair NICOLAS HENGARTNER Vice Chair JOHNNY BLAIR Committee Member MARK BURTON Committee Member JAE EDMONDS Committee Member MOSHE FEDER Committee Member JAMES K. HAMMITT Committee Member NEHA KHANA Committee Member NAGARAJ K. NEERCHAL Committee Member

363

Energy Information Handbook: Applications for Energy-Efficient Building Operations  

E-Print Network (OSTI)

Load Analysis Fundamental Methods Computation: In the absence of packaged softwaresoftware products, including energy information systems, dedicated load analysisuse a statistical analysis software package instead. Load

Granderson, Jessica

2013-01-01T23:59:59.000Z

364

Monthly energy review, February 1997  

Science Conference Proceedings (OSTI)

This is an overview of the February energy statistics by the Energy Information Administration. The contents of the report include an energy overview, US energy production, energy consumption, trade stocks and prices for petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. 37 figs., 73 tabs.

NONE

1997-02-01T23:59:59.000Z

365

Monthly energy review, January 1997  

SciTech Connect

This is an overview of the January energy statistics by the Energy Information Administration. The contents of the report include an energy overview, US energy production, energy consumption, trade stocks and prices for petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. 47 figs., 71 tabs.

NONE

1997-01-01T23:59:59.000Z

366

Monthly energy review, January 1996  

SciTech Connect

This document presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum,natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal metric conversion factors.

1996-01-01T23:59:59.000Z

367

Monthly energy review, July 1996  

Science Conference Proceedings (OSTI)

This document presents an overview of the recent monthly energy statistics from the Energy Information Administration (EIA). Statistical data covers activities of U.S. production, consumption, trade, stocks, and prices for fossil fuels , nuclear energy, and electricity. Also included are international energy and thermal and metric conversion factors.

NONE

1996-07-01T23:59:59.000Z

368

SPACE WEATHER, VOL. ???, XXXX, DOI:10.1029/, Statistical Study of Low-Energy Heliosphere Particle Fluxes  

E-Print Network (OSTI)

cycle varia- tions in energy spectra of solar and interplanetary particles over 27 years from 1973V energy channel from 1990 to 2004. #12;DENKER ET AL.: HELIOSPHERE PARTICLE FLUXES OVER A SOLAR CYCLE X - 3) solar cycle variations of electron and ion fluxes, (2) changes of the energy spectra with the solar cy

369

SQLSAM: SQL for statistical analysis and modeling  

Science Conference Proceedings (OSTI)

Statistical modeling and analysis is extensively used in businesses for various purposes including graphic visualization of data, measurement of central tendencies and other statistics, and inferences on populations based on samples. Data is the fundamental ... Keywords: SQL, SQLSAM, business, business data processing, business decision making, continuous probability distributions, data visualisation, decision support systems, discrete probability distributions, graphic visualization, inferences, inferential statistics, organization databases, probability, query languages, regression analysis, standard database language, statistical analysis, statistical databases, statistical modeling, statistics

J. Choobineh; A. Kini

1995-01-01T23:59:59.000Z

370

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%

371

Application of Statistical Continuum Mechanics to Guide Processing ...  

Science Conference Proceedings (OSTI)

Multi scale modeling including statistical continuum mechanics is used to predict microstructure evolution during processing. We also developed statistical ...

372

including © notice, is given to the source. Evidence from Two Large Field Experiments that Peer Comparison Feedback Can Reduce Residential Energy Usage  

E-Print Network (OSTI)

Special thanks to Tyler Curtis and Alex Laskey from Positive Energy/oPower for contributing criticism to earlier drafts. The views expressed herein are those of the author(s) and do not necessarily reflect

Ian Ayres; Sophie Raseman; Ian Ayres; Sophie Raseman; Alice Shih; Ian Ayres; Alice Shih; Sophie Raseman

2009-01-01T23:59:59.000Z

373

Enrico Fermi Awards Ceremony for Dr. Mildred S. Dresselhaus and Dr. Burton Richter, May 2012 (Presentations, including remarks by Energy Secretary, Dr. Steven Chu)  

Science Conference Proceedings (OSTI)

The Fermi Award is a Presidential award and is one of the oldest and most prestigious science and technology honors bestowed by the U.S. Government. On May 7, 2012 it was conferred upon two exceptional scientists: Dr. Mildred Dresselhaus, 'for her scientific leadership, her major contributions to science and energy policy, her selfless work in science education and the advancement of diversity in the scientific workplace, and her highly original and impactful research,' and Dr. Burton Richter, 'for the breadth of his influence in the multiple disciplines of accelerator physics and particle physics, his profound scientific discoveries, his visionary leadership as SLAC Director, his leadership of science, and his notable contributions in energy and public policy.' Dr. John Holder, Director of the White House Office of Science and Technology Policy, opened the ceremony, and Dr. Bill Brinkman, Director of DOE's Office of Science introduced the main speaker, Dr. Steven Chu, U.S. Energy Secretary.

Chu, Steven (U.S. Energy Secretary)

2012-05-07T23:59:59.000Z

374

Annual Energy Review 1995  

Gasoline and Diesel Fuel Update (EIA)

4(95) 4(95) Distribution Category UC-950 Annual Energy Review 1995 July 1996 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Annual Energy Review 1995 The Annual Energy Review (AER) presents the Energy Information Ad- ministration's historical energy statistics. For most series, statistics are given for every year from 1949 through 1995. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, including consumption, production, trade,

375

A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices  

E-Print Network (OSTI)

This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

376

A Statistical Treatment of the Gamma-Ray Burst "No Host Galaxy" Problem: II. Energies of Standard Candle Bursts  

E-Print Network (OSTI)

With the discovery that the afterglows after some bursts are coincident with faint galaxies, the search for host galaxies is no longer a test of whether bursts are cosmological, but rather a test of particular cosmological models. The methodology we developed to investigate the original "no host galaxy" problem is equally valid for testing different cosmological models, and is applicable to the galaxies coincident with optical transients. We apply this methodology to a family of models where we vary the total energy of standard candle bursts. We find that total isotropic energies of E<2e52~erg are ruled out while log(E)~53 erg is favored.

D. L. Band; D. H. Hartmann; B. E. Schaefer

1998-07-08T23:59:59.000Z

377

Monthly energy review, April 1997  

Science Conference Proceedings (OSTI)

This report presents an overview of monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. International energy and thermal metric conversion factors are included.

NONE

1997-04-01T23:59:59.000Z

378

Annual energy review 1994  

Science Conference Proceedings (OSTI)

This 13th edition presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1994; thus, this report is well-suited to long-term trend analyses. It covers all major energy activities, including consumption, production, trade, stocks, and prices for all major energy commodities, including fossil fuels and electricity. Statistics on renewable energy sources are also included: this year, for the first time, usage of renewables by other consumers as well as by electric utilities is included. Also new is a two-part, comprehensive presentation of data on petroleum products supplied by sector for 1949 through 1994. Data from electric utilities and nonutilities are integrated as ``electric power industry`` data; nonutility power gross generation are presented for the first time. One section presents international statistics (for more detail see EIA`s International Energy Annual).

NONE

1995-07-01T23:59:59.000Z

379

Monthly energy review, April 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public.

NONE

1999-04-01T23:59:59.000Z

380

Monthly energy review, August 1998  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. 37 figs., 73 tabs.

NONE

1998-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Monthly energy review, July 1997  

SciTech Connect

This document presents an overview of recent monthly energy statistics. Activities covered include: U.S. production, consumption, trade, stock, and prices for petroleum, coal, natural gas, electricity, and nuclear energy.

NONE

1997-07-01T23:59:59.000Z

382

Preprint of: A.H. Nosrat, L.G. Swan, J.M. Pearce, Improved Performance of Hybrid Photovoltaic-Trigeneration Systems Over Photovoltaic-Cogen Systems Including Effects of Battery Storage, Energy 49, pp. 366-374 (2013). http://dx.doi.org/10.1016/j.energy.201  

E-Print Network (OSTI)

-Trigeneration Systems Over Photovoltaic-Cogen Systems Including Effects of Battery Storage, Energy 49, pp. 366-374 (2013). http://dx.doi.org/10.1016/j.energy.2012.11.005 Improved Performance of Hybrid Photovoltaic Photovoltaic-Cogen Systems Including Effects of Battery Storage, Energy 49, pp. 366-374 (2013). http

383

Statistics Office Electricity, Renewables Uranium Statistics ...  

U.S. Energy Information Administration (EIA)

smart grid technology and outage data collection to develop improved industry statistics. Comment ...

384

Monthly energy review, March 1995  

SciTech Connect

This publication presents statistical data on the following topics: Energy Consumption; Petroleum; Natural Gas; Oil and Gas Resource Development; Coal; Electricity; Nuclear Energy; Energy Prices; and International Energy. Appendices are included on: Thermal Conversion Factors; Metric and Other Physical Conversion Factors; Carbon Dioxide Emission Factors for Coal. A Glossary is included.

1995-03-28T23:59:59.000Z

385

Solar-climatic statistical study  

DOE Green Energy (OSTI)

The Solar-Climatic Statistical Study was performed to provide statistical information on the expected future availability of solar and wind power at various nationwide sites. Historic data (SOLMET), at 26 National Weather Service stations reporting hourly solar insolation and collateral meteorological information, were interrogated to provide an estimate of future trends. Solar data are global radiation incident on a horizontal surface, and wind data represent wind power normal to the air flow. Selected insolation and wind power conditions were investigated for their occurrence and persistence, for defined periods of time, on a monthly basis. Information of this nature are intended as an aid to preliminary planning activities for the design and operation of solar and wind energy utilization and conversion systems. Presented in this volume are probability estimates of solar insolation and wind power, alone and in combination, occurring and persisting at or above specified thresholds, for up to one week, for each of the 26 SOLMET stations. Diurnal variations of wind power were also considered. Selected probability data for each station are presented graphically, and comprehensive plots for all stations are provided on a set of microfiche included in a folder in the back of this volume.

Bray, R.E.

1979-02-01T23:59:59.000Z

386

Federal Outer Continental Shelf Oil and Gas Production Statistics...  

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

Statistics Energy Data Apps Maps Challenges Resources Blogs Let's Talk Energy Beta You are here Data.gov Communities Energy Data Federal Outer Continental Shelf Oil and...

387

Monthly Energy Review - January 2008  

Gasoline and Diesel Fuel Update (EIA)

1) 1) January 2008 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

388

Monthly Energy Review - September 2007  

Gasoline and Diesel Fuel Update (EIA)

09) 09) September 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

389

Monthly Energy Review - February 2008  

Gasoline and Diesel Fuel Update (EIA)

2) 2) February 2008 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

390

Monthly Energy Review - October 2007  

Gasoline and Diesel Fuel Update (EIA)

0) 0) October 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

391

Monthly Energy Review - November 2007  

Gasoline and Diesel Fuel Update (EIA)

1) 1) November 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

392

Petroleum Gasoline & Distillate Needs Including the Energy ...  

U.S. Energy Information Administration (EIA)

Both cars and light trucks show significant improvement in efficiency to meet the EISA’s light-duty vehicle 35-miles-per-gallon ... hybrid, and flex-fueled vehicles.

393

What are the sources of energy-related carbon dioxide ...  

U.S. Energy Information Administration (EIA)

1 Includes combustion and flaring of natural gas. Learn more: Historical and most recent available international statistics on energy-related carbon ...

394

Building Energy Software Tools Directory: IES Virtual Environment  

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

LEED BREEAM Building regulations and statistical output for energy daylighting solar shading all included within the package. Computer Platform Windows XP Windows Vista...

395

New Zealand Energy Data: Electricity Balance and Market Data...  

Open Energy Info (EERE)

electricity. Included here are three datasets: electricity energy balance (2005 - 2009), electricity market snapshot (2009), and market competition statistics (2004 - 2009).
...

396

Statistical mechanics and ocean circulation Rick Salmon  

E-Print Network (OSTI)

Statistical mechanics and ocean circulation Rick Salmon Scripps Institution of Oceanography, UCSD equilibrium statistical mechanics based upon the conservation of energy and potential enstrophy to the mass. The equilibrium state resembles the buoyancy structure actually observed. Key words: statistical mechanics, ocean

Salmon, Rick

397

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Total Oven Gas Coke Source Products Petroleum IndigenousOven Gas Coke Source Products Petroleum bm 3 bm 3 Mt Mtby Source (1980-2009) AAGR Mtce Coal Use Petroleum Natural

Levine, Mark

2013-01-01T23:59:59.000Z

398

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Total Oven Gas Coke Source Products Petroleum IndigenousTotal Oven Gas Coke Source Products Petroleum IndigenousConsumption by Source Shares Coal Use Petroleum Natural Gas

Levine, Mark

2013-01-01T23:59:59.000Z

399

Key China Energy Statistics 2011  

E-Print Network (OSTI)

the electricity produced by a hydro power plant. IndigenousIndigenous Production - Hydro Power Indigenous Production -Indigenous Production - Hydro Power Indigenous Production -

Levine, Mark

2013-01-01T23:59:59.000Z

400

Key China Energy Statistics 2012  

E-Print Network (OSTI)

the electricity produced by a hydro power plant. IndigenousIndigenous Production - Hydro Power Indigenous Production -Indigenous Production - Hydro Power Indigenous Production -

Levine, Mark

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Mtce) AAGR Coal Raw Crude Oil Primary Electricity NaturalFuel Shares * Coal Raw Crude Oil Primary Electricity NaturalOthers Total Total Crude Oil Production by Region (1985-

Levine, Mark

2013-01-01T23:59:59.000Z

402

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Use Petroleum Natural Gas Hydro Nuclear Fuel Total PrimaryUse Petroleum Natural Gas Hydro Nuclear Fuel Total Finalnatural gas. Nuclear Hydro Nuclear shows the primary heat

Levine, Mark

2013-01-01T23:59:59.000Z

403

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Oil Natural Gas Nuclear Hydro Wind Other Renewables TotalCoal Oil Natural Gas Nuclear Hydro Wind Other Renewables *Coal Oil Natural Gas Hydro Nuclear Wind Other Renewables

Levine, Mark

2013-01-01T23:59:59.000Z

404

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Supply Coal Washing Coking Petroleum Refineries Gas WorksMt Diesel Oil Fuel Oil Gasoline Kerosene Liquid PetroleumGas Petroleum Other Products Refinery Production by Product

Levine, Mark

2013-01-01T23:59:59.000Z

405

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Mtce Mt Fuel Oil Kerosene Petroleum Other Products RefineryDiesel Oil Gasoline Liquid Petroleum Gas Refinery ProductionShares Fuel Oil Kerosene Petroleum Other Products Refinery

Levine, Mark

2013-01-01T23:59:59.000Z

406

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Production by Source Shares* Coal Oil Natural Gas NuclearProduction by Source Shares Coal Oil Natural Gas Hydroby Fuel Source (1980-2010) Mtce Coal Oil Natural Gas Hydro

Levine, Mark

2013-01-01T23:59:59.000Z

407

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Use Residential Power Generation/Heat Commerce, Const. ,Coal Market Price for Power Generation RMB (Nominal Prices)/contract price for power generation Coal market price for

Levine, Mark

2013-01-01T23:59:59.000Z

408

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Mtce) AAGR Coal Raw Crude Oil Primary Electricity NaturalFuel Shares * Coal Raw Crude Oil Primary Electricity NaturalOthers Others Total Total Crude Oil Production by Region (

Levine, Mark

2013-01-01T23:59:59.000Z

409

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Australia South Korea Other Crude Oil Production by Region (Central North West Chinese Crude Oil Production by RegionalSouth Central North West Crude Oil Producing Provinces in

Levine, Mark

2013-01-01T23:59:59.000Z

410

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Contract Price and Coal Market Price forproduction cost for raw coal Average sale price Average CoalGeneration RMB (Nominal Prices)/Tonne Coal contract price

Levine, Mark

2013-01-01T23:59:59.000Z

411

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Contract Price and Coal Market Price forproduction cost for raw coal Average sale price Average CoalGeneration RMB (Current Prices)/Tonne Coal contract price

Levine, Mark

2013-01-01T23:59:59.000Z

412

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Washing Coking Petroleum Refineries Gas Works Gas Works -Gas Petroleum Other Products Refinery Production by ProductGas Petroleum Other Products Refinery Gas Consumption Total

Levine, Mark

2013-01-01T23:59:59.000Z

413

Notes for International Energy Statistics  

U.S. Energy Information Administration (EIA)

Dry Natural Gas: OECD, Brazil, Russia, India, China, Venezuela & Saudi Arabia: 6/30: 2010 : All Countries: 11/4: 2010 : Reserves: Proven Reserves of Natural Gas: All ...

414

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Gas Works Gas Works - Coke input Briquettes Losses incoal, washed coal, briquettes) and derived fuels (coke,coke oven gas, and other coking products). Crude oil

Levine, Mark

2013-01-01T23:59:59.000Z

415

Key China Energy Statistics 2012  

E-Print Network (OSTI)

coal, washed coal, briquettes) and derived fuels (coke,coke oven gas, and other coking products). Crude oilWashed Coal Mt Briquettes Mt Coke Mt Coke Oven Gas Billion m

Levine, Mark

2013-01-01T23:59:59.000Z

416

Statistical Methods for Environmental Pollution Monitoring  

Office of Scientific and Technical Information (OSTI)

f!\Jl~~ If & &0 f!\Jl~~ If & &0 :3 Statistical Methods for Environmental Pollution Monitoring 3 3679 00058 9400 Statistical Methods for Environmental Pollution Monitoring Richard O. Gilbert Pacific Northwest Laboratory Imi5l VAN NOSTRAND REINHOLD COMPANY ~ - - - - - - - New York Dedicated to my parents, Mary Margaret and Donald I. Gilbert Copyright © 1987 by Van Nostrand Reinhold Company Inc. Library of Congress Catalog Card Number: 86-26758 ISBN 0-442-23050-8 Work supported by the U.S. Department of Energy under Contract No. DE-AC06-76RLOI830. All rights reserved. No part of this work covered by the copyright hereon may be reproduced or used in any form or by any means-graphic, electronic, or mechanical, including photocopying, recording, taping, or

417

Monthly energy review, March 1997  

Science Conference Proceedings (OSTI)

This is an overview of the March 1997 energy statistics by the Energy Information Administration. The Contents of the report include an update on the effects of Title IV of the Clean Air Act Amendments of 1990 on electric utilities, an energy overview, US energy production, energy consumption, trade stocks and prices for petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. 37 figs., 60 tabs.

NONE

1997-03-01T23:59:59.000Z

418

arXiv.org help - arXiv usage statistics  

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

by major subject areas through January 2013 Access and download statistics: Today's usage for arXiv.org (not including mirrors) Institutional Usage Statistics: 2009, 2010,...

419

Appendix F Cultural Resources, Including  

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

Appendix F Appendix F Cultural Resources, Including Section 106 Consultation STATE OF CALIFORNIA - THE RESOURCES AGENCY EDMUND G. BROWN, JR., Governor OFFICE OF HISTORIC PRESERVATION DEPARTMENT OF PARKS AND RECREATION 1725 23 rd Street, Suite 100 SACRAMENTO, CA 95816-7100 (916) 445-7000 Fax: (916) 445-7053 calshpo@parks.ca.gov www.ohp.parks.ca.gov June 14, 2011 Reply in Reference To: DOE110407A Angela Colamaria Loan Programs Office Environmental Compliance Division Department of Energy 1000 Independence Ave SW, LP-10 Washington, DC 20585 Re: Topaz Solar Farm, San Luis Obispo County, California Dear Ms. Colamaria: Thank you for seeking my consultation regarding the above noted undertaking. Pursuant to 36 CFR Part 800 (as amended 8-05-04) regulations implementing Section

420

Monthly energy review, April 1998  

Science Conference Proceedings (OSTI)

This report presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy data. A brief summary of the monthly and historical comparison data is provided in Section 1 of the report. A highlight section of the report provides an assessment of summer 1997 motor gasoline price increases.

NONE

1998-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

Annual Energy Review 1997  

Gasoline and Diesel Fuel Update (EIA)

7 7 Exported Energy Coal Other NGPL Other Adjustments Total Consumption Total Supply Nucle ar Rene wable s Crude Oil and Products Fossil Fuels Renewables Domestic Production Industrial Use Transportation Use Residential and Commercial Use Coal Natural Gas Petroleum Nuclear Imported Energy Fossil Fuels Coal Crude Oil Natural Gas Energy Information Administration July 1998 DOE/EIA-0384(97) Annual Energy Review 1997 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 1997. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en-

422

Annual Energy Review 2000  

Gasoline and Diesel Fuel Update (EIA)

Review Review 2000 www.eia.doe.gov On the Web at: www.eia.doe.gov/aer Energy Information Administration DOE/EIA-0384(2000) August 2001 Annual Energy Review 2000 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 2000. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en- ergy sources. Publication of this report is required under Public Law 95-91 (Department of Energy Organization Act), Section 205(c), and is in keeping with re- sponsibilities given to the Energy Information Administration under Sec- tion 205(a)(2), which

423

Annual Energy Review 1984  

SciTech Connect

Statistics of US energy production, consumption, supply, disposition, and prices are provided for each year from 1949 through 1984. Some international data are also included. The report is divided into 10 sections which cover the following topics: energy supply and disposition overview; energy supply and disposition - indicators; energy resources, exploration and development, and reserves; supply and disposition of petroleum, natural gas, coal, electricity and nuclear energy; wood, solar and geothermal energy; and international energy data. A narrative discussion precedes each section. A glossary, explanatory notes, units of measure, conversion factors, price deflators, and energy equivalents are included. Appendix 1 provides a map of US census regions. 105 figs., 105 tabs.

Not Available

1985-04-01T23:59:59.000Z

424

Monthly Energy Review, February 1996  

Science Conference Proceedings (OSTI)

This monthly publication presents an overview of EIA`s recent monthly energy statistics, covering the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief descriptions (`energy plugs`) on two EIA publications are presented at the start.

NONE

1996-02-26T23:59:59.000Z

425

Annual Energy Review 1993  

Science Conference Proceedings (OSTI)

This twelfth edition of the Annual Energy Review (AER) presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1993. Because coverage spans four and a half decades, the statistics in this report are well-suited to long-term trend analyses. The AER is comprehensive. It covers all major energy activities, including consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels and electricity. The AER also presents Energy Information Administration (EIA) statistics on some renewable energy sources. EIA estimates that its consumption series include about half of the renewable energy used in the United States. For a more complete discussion of EIA`s renewables data, see p. xix, ``Introducing Expanded Coverage of Renewable Energy Data Into the Historical Consumption Series.`` Copies of the 1993 edition of the Annual Energy Review may be obtained by using the order form in the back of this publication. Most of the data in the 1993 edition also are available on personal computer diskette. For more information about the diskettes, see the back of this publication. In addition, the data are available as part of the National Economic, Social, and Environmental Data Bank on a CD-ROM. For more information about the data bank, contact the US Department of Commerce Economics and Statistics Administration, on 202-482-1986.

Not Available

1994-07-14T23:59:59.000Z

426

International petroleum statistics report, September 1993  

Science Conference Proceedings (OSTI)

The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1980, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. Data for the United States are developed by the Energy Information Administration (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section). All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

Not Available

1993-09-28T23:59:59.000Z

427

Annual Energy Review 2002  

Annual Energy Outlook 2012 (EIA)

2 The Annual Energy Review (AER) presents the Energy Information Administra- tion's historical energy statistics. For many series, statistics are given for every year from 1949...

428

statistics | OpenEI  

Open Energy Info (EERE)

12 12 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278812 Varnish cache server statistics Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density

429

Office of Survey Development and Statistical Integration  

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

Steve Harvey Steve Harvey April 27, 2011 | Washington, D.C. Tough Choices in U.S. EIA's Data Programs Agenda * Office of Oil, Gas, and Coal Supply Statistics * Office of Petroleum and Biofuels Statistics * Office of Electricity, Renewables, and Uranium Statistics * Office of Energy Consumption and Efficiency Statistics * Office of Survey Development and Statistical Integration 2 Presenter name, Presentation location, Presentation date Coal Data Collection Program 3 James Kendell Washington, DC, April 27, 2011 Quarterly Coal Consumption and Quality Report, Manufacturing and Transformation/Processing Coal Plants and Commercial and Institutional Coal Users EIA-3 Quarterly Coal Consumption and Quality Report - Coke Plants EIA-5 Coal Production and Preparation

430

Monthly Energy Review, August 1997  

Annual Energy Outlook 2012 (EIA)

Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the...

431

Monthly Energy Review, October 1997  

Annual Energy Outlook 2012 (EIA)

Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the...

432

Statistics | Data.gov  

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

Statistics Statistics Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture Agricultural and Rural Statistics This website is supported by the Interagency Council on Agricultural and Rural Statistics (ICARS). ICARS is the effort of the US federal government's statistical agencies in support of the "Global Strategy to Improve Agriculture and Rural Statistics" which was developed under the United Nations Statistical Commission. The impetus for the Global Strategy was the recognition that agriculture and rural statistics are declining across the globe at the same time as new data requirements are emerging. The ICARS was established in 2010 with approval from Office of Management

433

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. ... Crude Oil Distillation Capacity (Thousand Barrels Per Cal Day) Loading ... Units Conversion ...

434

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Dry Natural Gas Consumption (Billion Cubic Feet) Loading ... Units Conversion ... North America 28,417 28,108 29,286 29,913 ...

435

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Kazakhstan 1,605.9 Kyrgyzstan -0.8 Latvia 1 Lithuania 9.1 Moldova (s) Russia 10,397.0 Tajikistan 0.2 ...

436

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Generation | Consumption | Capacity | Imports | Net Imports | Exports | Distribution Losses | Heat Content; Renewables. Electricity Generation|

437

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Production| Annual Monthly/Quarterly. ... Distillate Fuel Oil: Residual Fuel Oil: ... American Samoa 0.600 0.560 0 ...

438

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Germany 4.799 4.671 Footnotes:--- = Not applicable (s) = Value is too small for the number of decimal places shown NA = Not available W = Data withheld to ...

439

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Puerto Rico 179.247 183.540 153.616 201.355 213.864 212.075 217.809 222.763 215.214 210.731 169.649 ...

440

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Puerto Rico 66.715 72.937 75 36.508 United States 10,125.948 10,118.030 10,031.244 9,783.317 Virgin Islands, U.S ...

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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

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Puerto Rico 68.219 60.710 60.877 47.137 31.781 39.080 United States 517.885 496.399 602.660 475.200 ...

442

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Consumption Residual Fuel Oil (Thousand Barrels Per Day) ... Puerto Rico 56.983 75.778 74.721 86.5 61.8 60.5 ...

443

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Consumption of Petroleum Products (Thousand Barrels Per Day) ... Puerto Rico 210.731 169.649 175.240 155.616 176 Saint ...

444

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Total Renewable Electricity Net Consumption (Billion Kilowatthours) ... Puerto Rico 0.156 0.174 0.153 0.149 NA Saint Kitts ...

445

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Consumption of Distillate Fuel Oil (Thousand Barrels Per Day) ... Puerto Rico 32.408 32.024 29.255 19.3 40.7 27.5 ...

446

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

--- = Not applicable (s) = Value is too small for the number of decimal places shown NA = Not available W = Data withheld to avoid disclosure

447

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Korea, North: NA : 0 : 0 : NA : Korea, South: 2,306 : 0 : 0 : 136,482 : Laos: NA : 0 : 0 : NA : Macau: NA : 0 : 0 : NA : Malaysia: NA : 0 : 0 : 25,632 : Maldives: NA ...

448

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Korea, North: NA : NA : NA : NA : Korea, South: 15 : 1,671 : 0 : 1,753 : Laos: NA : NA : NA : NA : Macau: NA : NA : NA : NA : Malaysia: NA : NA : NA : NA : Maldives ...

449

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Note: Import and export data for natural gas in BTUs is currently unavailable as we improve our methodology for this calculation. We will repost the data once this ...

450

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Consumption of Jet Fuel (Thousand Barrels Per Day) Loading... Units Conversion Download Excel: 2004 2005 2006 2007 2008 ...

451

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

7,296.930 7,144.756 7,085.298 6,989.074 7,082.966 7,139.525 7,192.733 7,061.113 6,820.151 6,970.176 ...

452

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

1,766.930 1,902.536 1,913.970 Saudi Arabia NA NA 3,700.437 2,924.856 3,490 3,390.296 4,760 6,621.900 ...

453

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

73,270.930 72,873.253 72,819.321 73,830.697 73,478.359 73,180.803 73,506.677 73,133.353 72,969.951 72,623.454 ...

454

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Greece 351.0 Hungary 143.2 Iceland 21.2 Ireland 143.2 Italy 1,493.8 Luxembourg 61.4 Macedonia 19 ...

455

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Motor Gasoline: Jet Fuel: Kerosene: Distillate Fuel Oil: Residual Fuel Oil: Liquefied Petroleum Gases: Other Products: Total: United States 9,252.5

456

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Motor Gasoline: Jet Fuel: Kerosene: Distillate Fuel Oil: Residual Fuel Oil: Liquefied Petroleum Gases: Other Products: Total: United States 412.649

457

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Production Imports Exports Consumption; Bahrain: 441 : 0 : 0 : 441 : Iran: 4,986 : 216 : 209 : 4,994 : Iraq: 41 : 0 : 0 : 41 : Israel: 42 : 60 : 0 : 102 : Jordan: 8 ...

458

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Poland 368.456 462.2 506.6 Portugal 224.131 237.0 252.2 Romania 298.187 260.8 218.7 Serbia 55.956 ...

459

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Electricity Generation| Electricity Consumption | Biofuels Production | Biofuels Consumption | Heat Content ; ... Russia 60 60 60 60 ...

460

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Canada 5.200 15.400 16.700 22.100 26.400 Footnotes:--- = Not applicable (s) = Value is too small for the number of decimal places shown NA = Not available W ...

Note: This page contains sample records for the topic "include energy statistics" 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

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Production| Annual Monthly/Quarterly. ... Total Oil Supply ... World 85,476.3 84,580.7 87,076.5 87,345.1 ...

462

A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy  

E-Print Network (OSTI)

Test Program," in ASME Wind Energy Symposium , 2004. H. J.Turbine," in 2002 ASME Wind Energy Symposium , 2002, pp.turbine," in 2001 ASME Wind Energy Symposium , 2001, pp.

Taylor, Stuart Glynn

2013-01-01T23:59:59.000Z

463

Annual Energy Review 1999  

Gasoline and Diesel Fuel Update (EIA)

9 9 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 1999. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en- ergy sources. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2) that: "The Administrator shall be responsible for carrying out a cen- tral, comprehensive, and unified energy data and information program which will collect, evaluate, assemble,

464

Annual Energy Review 1998  

Gasoline and Diesel Fuel Update (EIA)

8 8 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 1998. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en- ergy sources. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2) that: "The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble,

465

Buildings Included on EMS Reports"  

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

Office of Legacy Management Office of Legacy Management Buildings Included on EMS Reports" "Site","Property Name","Property ID","GSF","Incl. in Water Baseline (CY2007)","Water Baseline (sq. ft.)","Water CY2008 (sq. ft.)","Water CY2009 (sq. ft.)","Water Notes","Incl. in Energy Baseline (CY2003)","Energy Baseline (sq. ft.)","CY2008 Energy (sq. ft.)","CY2009 Energy (sq. ft.)","Energy Notes","Included as Existing Building","CY2008 Existing Building (sq. ft.)","Reason for Building Exclusion" "Column Totals",,"Totals",115139,,10579,10579,22512,,,3183365,26374,115374,,,99476 "Durango, CO, Disposal/Processing Site","STORAGE SHED","DUD-BLDG-STORSHED",100,"no",,,,,"no",,,,"OSF","no",,"Less than 5,000 GSF"

466

Electrical energy consideration and payment in an Australian University  

SciTech Connect

This article discusses an attempt to obtain a formula to calculate the energy consumption for each faculty of a university from the faculty statistics or, at least, to calculate a change of energy allowance based on changing faculty statistics. Topics considered include the university plant, factors contributing to electrical energy usage (base load component, personnel component, laboratory-workshop component), the faculty energy usage equation, establishing the values of the formula constants, estimating energy usage, and faculty energy savings.

Bonwick, W.J.; Cappadona, J.

1984-01-01T23:59:59.000Z

467

Statistical Analysis and Interpretation of Building Characterization, Indoor Environmental Quality Monitoring and Energy Usage Data from Office Buildings and Classrooms in the United States  

SciTech Connect

Three independent tasks had been performed (Stetzenbach 2008, Stetzenbach 2008b, Stetzenbach 2009) to measure a variety of parameters in normative buildings across the United States. For each of these tasks 10 buildings were selected as normative indoor environments. Task 1 focused on office buildings, Task 13 focused on public schools, and Task 0606 focused on high performance buildings. To perform this task it was necessary to restructure the database for the Indoor Environmental Quality (IEQ) data and the Sound measurement as several issues were identified and resolved prior to and during the transfer of these data sets into SPSS. During overview discussions with the statistician utilized in this task it was determined that because the selection of indoor zones (1-6) was independently selected within each task; zones were not related by location across tasks. Therefore, no comparison would be valid across zones for the 30 buildings so the by location (zone) data were limited to three analysis sets of the buildings within each task. In addition, differences in collection procedures for lighting were used in Task 0606 as compared to Tasks 01 & 13 to improve sample collection. Therefore, these data sets could not be merged and compared so effects by-day data were run separately for Task 0606 and only Task 01 & 13 data were merged. Results of the statistical analysis of the IEQ parameters show statistically significant differences were found among days and zones for all tasks, although no differences were found by-day for Draft Rate data from Task 0606 (p>0.05). Thursday measurements of IEQ parameters were significantly different from Tuesday, and most Wednesday measures for all variables of Tasks 1 & 13. Data for all three days appeared to vary for Operative Temperature, whereas only Tuesday and Thursday differed for Draft Rate 1m. Although no Draft Rate measures within Task 0606 were found to significantly differ by-day, Temperature measurements for Tuesday and Thursday showed variation. Moreover, Wednesday measurements of Relative Humidity within Task 0606 varied significantly from either Tuesday or Thursday. The majority of differences in IEQ measurements by-zone were highly significant (p<0.001), with the exception of Relative Humidity in some buildings. When all task data were combined (30 buildings) neither the airborne culturable fungi nor the airborne non-culturable spore data differed in the concentrations found at any indoor location in terms of day of collection. However, the concentrations of surface-associated fungi varied among the day of collection. Specifically, there was a lower concentration of mold on Tuesday than on Wednesday, for all tasks combined. As expected, variation was found in the concentrations of both airborne culturable fungi and airborne non-culturable fungal spores between indoor zones (1-6) and the outdoor zone (zone 0). No variation was found among the indoor zones of office buildings for Task 1 in the concentrations of airborne culturable fungi. However, airborne non-culturable spores did vary among zones in one building in Task 1 and variation was noted between zones in surface-associated fungi. Due to the lack of multiple lighting measurements for Tasks 13 and 0606, by-day comparisons were only performed for Task 1. No statistical differences were observed in lighting with respect to the day of collection. There was a wide range of variability by-zone among seven of the office buildings. Although few differences were found for the brightest illumination of the worksurface (IllumWkSfcBrtst) and the darkest illumination of the worksurface (IllumWkSfcDrkst) in Task 1, there was considerable variation for these variables in Task 13 and Task 0606 (p < 0.001). Other variables that differed by-zone in Task 13 include CombCCT and AmbCCT1 for S03, S07, and S08. Additionally, AmbChromX1, CombChromY, and CombChromX varied by-zone for school buildings S02, S04, and S05, respectively. Although all tasks demonstrated significant differences in sound measurements by zone, some of the buil

Linda Stetzenbach; Lauren Nemnich; Davor Novosel

2009-08-31T23:59:59.000Z

468

Energy  

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

energy, including Fundamental advances in nuclear fuels Nonproliferation safeguards Reactor concepts Reactor waste disposition Animation of new reactor concept for deep space...

469

Characteristics of level-spacing statistics in chaotic graphene billiards  

SciTech Connect

A fundamental result in nonrelativistic quantum nonlinear dynamics is that the spectral statistics of quantum systems that possess no geometric symmetry, but whose classical dynamics are chaotic, are described by those of the Gaussian orthogonal ensemble (GOE) or the Gaussian unitary ensemble (GUE), in the presence or absence of time-reversal symmetry, respectively. For massless spin-half particles such as neutrinos in relativistic quantum mechanics in a chaotic billiard, the seminal work of Berry and Mondragon established the GUE nature of the level-spacing statistics, due to the combination of the chirality of Dirac particles and the confinement, which breaks the time-reversal symmetry. A question is whether the GOE or the GUE statistics can be observed in experimentally accessible, relativistic quantum systems. We demonstrate, using graphene confinements in which the quasiparticle motions are governed by the Dirac equation in the low-energy regime, that the level-spacing statistics are persistently those of GOE random matrices. We present extensive numerical evidence obtained from the tight-binding approach and a physical explanation for the GOE statistics. We also find that the presence of a weak magnetic field switches the statistics to those of GUE. For a strong magnetic field, Landau levels become influential, causing the level-spacing distribution to deviate markedly from the random-matrix predictions. Issues addressed also include the effects of a number of realistic factors on level-spacing statistics such as next nearest-neighbor interactions, different lattice orientations, enhanced hopping energy for atoms on the boundary, and staggered potential due to graphene-substrate interactions.

Huang Liang [School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287 (United States); Institute of Computational Physics and Complex Systems, and Key Laboratory for Magnetism and Magnetic Materials of MOE, Lanzhou University, Lanzhou, Gansu 730000 (China); Lai Yingcheng [School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287 (United States); Department of Physics, Arizona State University, Tempe, Arizona 85287 (United States); Institute for Complex Systems and Mathematical Biology, School of Natural and Computing Sciences, King's College, University of Aberdeen (United Kingdom); Grebogi, Celso [Institute for Complex Systems and Mathematical Biology, School of Natural and Computing Sciences, King's College, University of Aberdeen (United Kingdom)

2011-03-15T23:59:59.000Z

470

Women @ Energy: Shawna Waugh | Department of Energy  

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

Shawna Waugh Shawna Waugh Women @ Energy: Shawna Waugh March 26, 2013 - 1:39pm Addthis Shawna Waugh is a mathematical statistician for the Office of Petroleum and Biofuels Statistics at the U.S. Energy Information Administration (EIA). Shawna Waugh is a mathematical statistician for the Office of Petroleum and Biofuels Statistics at the U.S. Energy Information Administration (EIA). Check out other profiles in the Women @ Energy series and share your favorites on Pinterest. Shawna Waugh is a mathematical statistician for the Office of Petroleum and Biofuels Statistics at the U.S. Energy Information Administration (EIA). In her work, she plans, implements, monitors, and evaluated survey methods, energy programs, and systems dynamics including modeling. Before she joined

471

Monthly energy review, August 1995  

Science Conference Proceedings (OSTI)

Two brief articles are presented: measuring dependence on imported oil; and preliminary estimates of household energy consumption and expenditures in 1993. Then statistical tables are presented: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. Appendices present thermal conversion factors, metric and other physical conversion factors, CO{sub 2} emission factors for coal, and listing of previous articles. A glossary is also included.

NONE

1995-08-24T23:59:59.000Z

472

George Ostrouchov Statistics and Data Sciences Group  

E-Print Network (OSTI)

Statistical Association, 2010 Certificate of Appreciation from US Undersecretary of Energy "For exemplary on behalf of the Department of Energy's Office of Science", 2007 Martin Marietta Energy Systems government, DC, June 16-18, 2003. 2 #12;Program Committee: 6th International Workshop on High Performance Data

473

Thermovoltaic semiconductor device including a plasma filter  

DOE Patents (OSTI)

A thermovoltaic energy conversion device and related method for converting thermal energy into an electrical potential. An interference filter is provided on a semiconductor thermovoltaic cell to pre-filter black body radiation. The semiconductor thermovoltaic cell includes a P/N junction supported on a substrate which converts incident thermal energy below the semiconductor junction band gap into electrical potential. The semiconductor substrate is doped to provide a plasma filter which reflects back energy having a wavelength which is above the band gap and which is ineffectively filtered by the interference filter, through the P/N junction to the source of radiation thereby avoiding parasitic absorption of the unusable portion of the thermal radiation energy.

Baldasaro, Paul F. (Clifton Park, NY)

1999-01-01T23:59:59.000Z

474

Monthly energy review, June 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. 37 figs., 61 tabs.

NONE

1999-06-01T23:59:59.000Z

475

Monthly energy review, July 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. 37 figs., 75 tabs.

NONE

1999-07-01T23:59:59.000Z

476

3. Crude Oil Statistics  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 21,371 million barrels of crude oil proved reserves as of December 31, 2004. Crude oil proved reserves ...

477

ARM - Historical Visitor Statistics  

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

and Usage (October 1995 - Present) Historical Visitor Statistics As a national user facility, ARM is required to report facility use for actual visitors and for active user...

478

UKERC ENERGY RESEARCH ATLAS: CARBON CAPTURE AND STORAGE (version 10 February 2008) Section 1: An overview which includes a broad characterisation of research activity in the sector and the key research challenges  

E-Print Network (OSTI)

efficiency, renewable energy, transportation, conservation, fossil energy, fusion energy, nuclear power platforms. Automated catalyst bench flow reactor FEERC completed installation of a fully auto- mated bench core reactor (Figure 17) that can be operated unattended, around-the-clock, which is essential

Haszeldine, Stuart

479

and Price Statistics  

E-Print Network (OSTI)

This report is part of an annual series that presents current and historical information on the production, trade, consumption, and prices of timber products in the United States. The report focuses on national statistics, but includes some data for individual States and regions and for Canada. The data were collected from industry trade associations and government agencies. They are intended for use by forest land managers, forest industries, trade associations, forestry schools, renewable resource organizations, libraries, organizations, individuals in the major timber producing and consuming countries of the world, and the general public. A major use of the data presented here is tracking technological change over time. One of the major technology shifts occurring in the wood-using industry is the substitution of oriented strandboard (OSB) for plywood in the structural panel sector, as well as a shift in plywood production from the west to the south United States. Some data show these shifts. United States production of structural panels totaled 29.4 billion ft in 1999. Production of OSB increased from less than 3 billion ft in 1985 to 11.6 billion ft in 1999. Plywood production was 20.1 billion ft in 1985 before falling to 17.8 billion ft in 1999. The decline in plywood production reflects the continued increase in the OSB share of the traditional plywood market

United States; Forest Service; James L. Howard Abstract

2001-01-01T23:59:59.000Z

480

International Petroleum Statistics Report, July 1994  

Science Conference Proceedings (OSTI)

The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993. Data for the United States are developed by the Energy Information Administration`s (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources, including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section.) All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

Not Available

1994-07-26T23:59:59.000Z

Note: This page contains sample records for the topic "include energy statistics" 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

A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings  

Science Conference Proceedings (OSTI)

This paper addresses the problem of predicting demand for natural gas for the purpose of realizing energy cost savings. Daily monitoring of a rooftop unit wireless sensor system provided feedback for a decision support system that supplied the demand ... Keywords: Artificial neural networks, Decision support system, Energy forecasting, Natural gas demand, Nearest neighbor method, Wireless sensor networks

James A. Rodger

2014-03-01T23:59:59.000Z

482

UN Alcohol Energy Data: Consumption for Non-Energy Uses The Energy  

Open Energy Info (EERE)

for Non-Energy Uses The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary;...

483

Monthly Energy Review - August 2007  

Gasoline and Diesel Fuel Update (EIA)

Energy Energy Information Administration DOE/EIA-0035(2007/08) August 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

484

About EIA - Organization - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Offices Offices Office of Energy Statistics The Office of Energy Statistics conducts a wide range of survey, statistical methods, and integration activities related to: energy consumption and efficiency; electricity; nuclear and renewable energy; oil, gas and coal supply; and petroleum and biofuels. This Office also manages the EIA data collection program and the quality control for weekly, monthly, quarterly, annual and quadrennial statistical reports. Office of Energy Analysis The Office of Energy Analysis analyzes energy supply, demand, and prices including the impact of financial markets on energy markets; prepares reports on current and future energy use; analyzes the impact of energy policies; and develops advanced techniques for conducting energy information analyses. This Office also oversees the planning and execution

485

Statistical Description of Radiation Transfer in Clouds  

Science Conference Proceedings (OSTI)

The statistical characteristics of simulated cloud fields constructed based on Poisson point fluxes are studied. The input parameters of mathematical models of cloudiness include the cloud fraction and the mean horizontal size of clouds ...

Georgi A. Titov

1990-01-01T23:59:59.000Z

486

FY 2011 Statistical Table by Appropriation  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2009 FY 2009 FY 2010 FY 2011 Current Current Current Congressional Approp. Recovery Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................... 2,156,865 16,771,907 2,242,500 2,355,473 +112,973 +5.0% Electricity delivery and energy reliability............................................. 134,629 4,495,712 171,982 185,930 +13,948 +8.1% Nuclear energy................................................................................... 791,444 0 786,637 824,052 +37,415 +4.8% Fossil energy programs Clean coal technology..................................................................... 0 0 0 0

487

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

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, ... particularly for space heating, ...

488

Modern Statistical Methods for GLAST Event Analysis  

E-Print Network (OSTI)

We describe a statistical reconstruction methodology for the GLAST LAT. The methodology incorporates in detail the statistics of the interactions of photons and charged particles with the tungsten layers in the LAT, and uses the scattering distributions to compute the full probability distribution over the energy and direction of the incident photons. It uses model selection methods to estimate the probabilities of the possible geometrical configurations of the particles produced in the detector, and numerical marginalization over the energy loss and scattering angles at each layer. Preliminary results show that it can improve on the tracker-only energy estimates for muons and electrons incident on the LAT.

Robin D. Morris; Johann Cohen-Tanugi

2007-03-28T23:59:59.000Z

489

Utility Green Pricing Programs: A Statistical Analysis of Program...  

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

NRELTP-620-35609 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY NATIONAL RENEWABLE ENERGY LABORATORY Utility Green Pricing Programs: A Statistical Analysis of Program...

490

HIPLEX-1: Statistical Evaluation  

Science Conference Proceedings (OSTI)

Results of statistical analyses for HIPLEX-1, a randomized cloud seeding experiment, are presented. The analyses are based principally on multi-response permutation procedures (MRPP) as specified before the HIPLEX-1 experiment was initiated. Even ...

Paul W. Mielke Jr.; Kenneth J. Berry; Arnett S. Dennis; Paul L. Smith; James R. Miller Jr.; Bernard A. Silverman

1984-04-01T23:59:59.000Z

491

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman, the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of ...

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

492

Electric power monthly, September 1990. [Glossary included  

SciTech Connect

The purpose of this report is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues. The power plants considered include coal, petroleum, natural gas, hydroelectric, and nuclear power plants. Data are presented for power generation, fuel consumption, fuel receipts and cost, sales of electricity, and unusual occurrences at power plants. Data are compared at the national, Census division, and state levels. 4 figs., 52 tabs. (CK)

1990-12-17T23:59:59.000Z

493

Today in Energy - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... hydroelectric pumped storage, other energy storage, ...

494

Monthly Energy Review - Energy Information Administration  

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

Monthly Energy Review Monthly Energy Review November 2013 PDF | previous editions Release Date: November 25, 2013 Next Update: December 24, 2013 A publication of recent energy statistics. This publication includes total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversion values. EIA has expanded Sections 1 through 10 and Appendix A of the Monthly Energy Review (MER) to incorporate annual data as far back as 1949 in those data tables that are published in both the Annual Energy Review 2011 and MER. Similar revisions are pending for Section 12. Where available, Excel and CSV files now include pre-1973 data. For tables

495

A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy  

E-Print Network (OSTI)

blade design that included a carbon fiber spar cap, with athe rotor blade’s carbon fiber spar cap, taking advantage ofpaths that lay along the carbon fiber spar cap A(spar). The

Taylor, Stuart Glynn

2013-01-01T23:59:59.000Z

496

Extreme Value Statistics of the Total Energy in an Intermediate-Complexity Model of the Midlatitude Atmospheric Jet. Part II: Trend Detection and Assessment  

Science Conference Proceedings (OSTI)

A baroclinic model for the atmospheric jet at middle latitudes is used as a stochastic generator of nonstationary time series of the total energy of the system. A linear time trend is imposed on the parameter TE, descriptive of the forced equator-...

Mara Felici; Valerio Lucarini; Antonio Speranza; Renato Vitolo

2007-07-01T23:59:59.000Z

497

Statistical Analysis and Interpretation of Building Characterization, Indoor Environmental Quality Monitoring and Energy Usage Data from Office Buildings and Classrooms in the United States  

Science Conference Proceedings (OSTI)

Three independent tasks had been performed (Stetzenbach 2008, Stetzenbach 2008b, Stetzenbach 2009) to measure a variety of parameters in normative buildings across the United States. For each of these tasks 10 buildings were selected as normative indoor environments. Task 1 focused on office buildings, Task 13 focused on public schools, and Task 0606 focused on high performance buildings. To perform this task it was necessary to restructure the database for the Indoor Environmental Quality (IEQ) data and the Sound measurement as several issues were identified and resolved prior to and during the transfer of these data sets into SPSS. During overview discussions with the statistician utilized in this task it was determined that because the selection of indoor zones (1-6) was independently selected within each task; zones were not related by location across tasks. Therefore, no comparison would be valid across zones for the 30 buildings so the by location (zone) data were limited to three analysis sets of the buildings within each task. In addition, differences in collection procedures for lighting were used in Task 0606 as compared to Tasks 01 & 13 to improve sample collection. Therefore, these data sets could not be merged and compared so effects by-day data were run separately for Task 0606 and only Task 01 & 13 data were merged. Results of the statistical analysis of the IEQ parameters show statistically significant differences were found among days and zones for all tasks, although no differences were found by-day for Draft Rate data from Task 0606 (p>0.05). Thursday measurements of IEQ parameters were significantly different from Tuesday, and most Wednesday measures for all variables of Tasks 1 & 13. Data for all three days appeared to vary for Operative Temperature, whereas only Tuesday and Thursday differed for Draft Rate 1m. Although no Draft Rate measures within Task 0606 were found to significantly differ by-day, Temperature measurements for Tuesday and Thursday showed variation. Moreover, Wednesday measurements of Relative Humidity within Task 0606 varied significantly from either Tuesday or Thursday. The majority of differences in IEQ measurements by-zone were highly significant (pschool buildings S02, S04, and S05, respectively. Although all tasks demonstrated significant differences in sound measurements by zone, some of the buil

Linda Stetzenbach; Lauren Nemnich; Davor Novosel

2009-08-31T23:59:59.000Z

498

Statistics of Storm Updraft Velocities from TWP-ICE Including Verification with Profiling Measurements  

Science Conference Proceedings (OSTI)

Comparisons between direct measurements and modeled values of vertical air motions in precipitating systems are complicated by differences in temporal and spatial scales. On one hand, vertically profiling radars more directly measure the vertical ...

Scott Collis; Alain Protat; Peter T. May; Christopher Williams

2013-08-01T23:59:59.000Z

499

DeCompactionTool: Software for subsidence analysis including statistical error quantification  

Science Conference Proceedings (OSTI)

Subsidence analysis based on decompaction of the sedimentary record is a standard method for reconstructing the evolution of sedimentary basins. For such an analysis, data on strata thickness, lithology, age constraints, lithological properties, porosity, ... Keywords: Basin analysis, Error quantification, Monte Carlo simulation, Subsidence, Vienna Basin

Monika Hölzel; Robert Faber; Michael Wagreich

2008-11-01T23:59:59.000Z

500

Statistical Mechanics of Two-dimensional Foams  

E-Print Network (OSTI)

The methods of statistical mechanics are applied to two-dimensional foams under macroscopic agitation. A new variable -- the total cell curvature -- is introduced, which plays the role of energy in conventional statistical thermodynamics. The probability distribution of the number of sides for a cell of given area is derived. This expression allows to correlate the distribution of sides ("topological disorder") to the distribution of sizes ("geometrical disorder") in a foam. The model predictions agree well with available experimental data.

Marc Durand

2010-09-07T23:59:59.000Z