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Note: This page contains sample records for the topic "gdp industrial output" from the National Library of EnergyBeta (NLEBeta).
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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

U.S. Motor Vehicle Output and Other GDP, 1968-2007  

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

Motor Vehicle Output and Other GDP, 1968-2007 Motor Vehicle Output and Other GDP, 1968-2007 Danilo J. Santini, Ph. D. Senior Economist Center for Transportation Research Argonne National Laboratory 9700 South Cass Avenue Phone: 630 252 3758 Fax: 630 252 3443 E-mail: dsantini@anl.gov David A Poyer, Ph.D. Associate Professor of Economics Morehouse College 830 Westview Dr. SW Atlanta, GA 30314 Phone: 404 681 2800, ext. 2553 E-mail: dpoyer@morehouse.edu THE 66th INTERNATIONAL ATLANTIC ECONOMIC CONFERENCE Montreal, Canada 9-12 October 2008 BUSINESS FLUCTUATIONS AND CYCLES 12 October 2008 Sunday 11:15 AM - 1:15 PM The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory ("Argonne"). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. . The U.S. Government

2

AEO2014: Preliminary Industrial Output  

Gasoline and Diesel Fuel Update (EIA)

Elizabeth Sendich, Analyst, and Kay Smith, Team Leader Macroeconomic Analysis Team September 26, 2013 Preliminary AEO2014 Macroeconomic Industrial Results DO NOT CITE OR...

3

Economic impacts and challenges of Chinas petroleum industry: An inputoutput analysis  

Science Journals Connector (OSTI)

It is generally acknowledged that the petroleum industry plays an important role in Chinas national economic and social development. The direct, indirect, and induced impacts of Chinas petroleum industry are analyzed in this study by using the InputOutput approach. The study also considers the main challenges that Chinas economy might face in the future. The research results suggest the following: (1) The total economic impacts coefficients on output, given each unit of final demands change in extraction of petroleum and processing of petroleum, are 1.9180 and 3.2747 respectively, and the corresponding economic impacts coefficients on GDP are 1.0872 and 0.9001 respectively; (2) Extraction of petroleum has a more direct impact on GDP, while processing of petroleum has a greater effect on the total output; (3) Extraction of petroleums total economic impacts coefficients on both output and GDP have remained stable in recent years after a period of long decline; processing of petroleums total economic impacts coefficient on output is steadily increasing; (4) Import uncertainty, the likelihood of rising oil prices, and net oil exports caused by items manufactured with petroleum products (i.e. Made in China goods) are the main challenges the petroleum industry will cause for Chinas overall economy.

Tang Xu; Zhang Baosheng; Feng Lianyong; Marwan Masri; Afshin Honarvar

2011-01-01T23:59:59.000Z

4

The effects of energy policies in China on energy consumption and GDP1  

E-Print Network [OSTI]

The effects of energy policies in China on energy consumption and GDP1 Ming-Jie Lu, C.-Y. Cynthia consumption and GDP for several industries. We not only analyze the effects of multiple types of energy impact different kinds of energy consumption and the GDP of different kinds of industries using

Lin, C.-Y. Cynthia

5

EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries, 1998,  

Gasoline and Diesel Fuel Update (EIA)

e e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 417 444 526 312 Beverage and Tobacco Product Manufacturing 114 128 144 313 Textile Mills 57 45 38 314 Textile Product Mills 31 30 32 315 Apparel Manufacturing 63 40 26 316 Leather and Allied Product Manufacturing 10 6 6 321 Wood Product Manufacturing 91 88 111 322 Paper Manufacturing 153 151 167 323 Printing and Related Support Activities 99 95 99 324 Petroleum and Coal Products Manufacturing 135 212 530 325 Chemical Manufacturing 407 444 639 326 Plastics and Rubber Products Manufacturing 162 169 208 327 Nonmetallic Mineral Product Manufacturing 91 94 126 331 Primary Metal Manufacturing 166 139 230 332 Fabricated Metal Product Manufacturing

6

The link between energy and GDP in developing countries  

Science Journals Connector (OSTI)

Historical studies of the energy-demand patterns of the industrial countries show increasing energy intensity followed by decreasing intensity. To explore the energy intensity patterns of developing countries, a data base was assembled for 38 developing countries. The data base contains estimates of per capita energy demand and GDP for 1950, 1960, 1970 and 1980. If the GDP is measured using the purchasing power parity method, analysis of the data base demonstrates an increase in energy intensity as countries develop.

David B. Reister

1987-01-01T23:59:59.000Z

7

Total Pollution Effect and Total Energy Cost per Output of Different Products for Polish Industrial System  

Science Journals Connector (OSTI)

For many years a broad use has been made of the indices of total energy requirements in the whole large production system corresponding to unit output of particular goods (Boustead I., Hancock G.F., 1979). The...

Henryk W. Balandynowicz

1988-01-01T23:59:59.000Z

8

Robust Output Feedback Stabilization of Nonlinear Interconnected Systems with Application to an Industrial Utility Boiler  

E-Print Network [OSTI]

to an Industrial Utility Boiler Adarsha Swarnakar, Horacio Jose Marquez and Tongwen Chen Abstract-- This paper boiler (Utility boiler), where the nonlinear model describes the complicated dynamics of the drum

Marquez, Horacio J.

9

Quantifying the Total Environmental Impacts of an Industrial Symbiosis - a Comparison of Process-, Hybrid and Input?Output Life Cycle Assessment  

Science Journals Connector (OSTI)

In this study, we compared process, hybrid and input?output life cycle assessment (LCA) approaches in quantifying the overall environmental impacts of a forest industrial symbiosis, situated in Kymenlaakso, Finland. ... Starch is a product of the grain milling industry, which has embodied pesticide emissions from agriculture. ...

Tuomas J. Mattila; Suvi Pakarinen; Laura Sokka

2010-04-21T23:59:59.000Z

10

SAS Output  

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

B. Landfill Gas: Consumption for Useful Thermal Output, B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 993 0 116 0 876 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2010 January 118 0 83 30 5 February 110 0 79 27 5 March 132 0 94 32 6 April 131 0 93 33 6 May 132 0 92 34 6 June 139 0 104 30 5 July 140 0 102 33 5 August 132 0 95 32 5 September 148 0 113 30 5

11

SAS Output  

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

B. Petroleum Coke: Consumption for Useful Thermal Output, B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 517 0 111 6 399 2003 763 0 80 9 675 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2010 January 92 0 10 1 81 February 93 0 10 1 82 March 84 0 12 1 71 April 76 0 9 1 66 May 84 0 10 0 75 June 93 0 8 0 86 July 89 0 8 0 80 August 87 0 2 1 84 September 82 0 2 1 79

12

SAS Output  

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

F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 193,120 57,296 105,416 227 30,182 2003 197,827 69,695 92,384 309 35,440 2004 245,389 116,086 90,747 259 38,297 2005 256,441 115,727 111,098 260 29,356 2006 246,687 102,117 98,314 269 45,987 2007 208,198 77,941 81,845 348 48,064 2008 180,034 64,843 79,856 280 35,055 2009 166,449 77,919 52,428 245 35,856 2010 173,078 94,331 41,090 340 37,317 2011 176,349 99,257 40,167 173 36,752 2012 144,266 60,862 24,925 353 58,126 2010 January 14,949 7,995 3,716 38 3,199

13

SAS Output  

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

C. Coal: Consumption for Electricity Generation and Useful Thermal Output, C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,005,144 767,803 209,703 1,405 26,232 2003 1,031,778 757,384 247,732 1,816 24,846 2004 1,044,798 772,224 244,044 1,917 26,613 2005 1,065,281 761,349 276,135 1,922 25,875 2006 1,053,783 753,390 273,246 1,886 25,262 2007 1,069,606 764,765 280,377 1,927 22,537 2008 1,064,503 760,326 280,254 2,021 21,902 2009 955,190 695,615 238,012 1,798 19,766 2010 1,001,411 721,431 253,621 1,720 24,638 2011 956,470 689,316 243,168 1,668 22,319 2012 845,066 615,467 208,085 1,450 20,065

14

SAS Output  

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

E. Landfill Gas: Consumption for Useful Thermal Output, E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 500 0 61 0 439 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2010 January 61 0 44 14 3 February 58 0 42 13 3 March 67 0 49 15 3 April 67 0 49 15 3 May 68 0 49 16 3 June 73 0 56 14 3 July 73 0 55 16 2 August 69 0 52 15 3 September 79 0 62 14 3 October 75 0 59 14 2

15

SAS Output  

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

B. Coal: Consumption for Useful Thermal Output, B. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 17,561 0 2,255 929 14,377 2003 17,720 0 2,080 1,234 14,406 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584 2012 19,333 0 2,790 1,143 15,400 2010 January 1,972 0 371 160 1,440 February 1,820 0 347 139 1,334 March 1,839 0 338 123 1,378 April 2,142 0 284 95 1,764

16

SAS Output  

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

E. Petroleum Liquids: Consumption for Useful Thermal Output, E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 76,737 0 1,669 3,276 71,788 2003 85,488 0 6,963 3,176 75,349 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927 1,039 15,833 2012 18,233 0 5,871 746 11,616 2010 January 3,648 0 614 190 2,843 February 3,027 0 422 157 2,447 March 2,015 0 272 43 1,699

17

SAS Output  

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

C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 146,643 88,595 39,320 1,210 17,517 2003 189,260 105,319 62,617 1,394 19,929 2004 185,761 103,793 57,843 1,963 22,162 2005 185,631 98,223 63,546 1,584 22,278 2006 87,898 53,529 18,332 886 15,150 2007 95,895 56,910 24,097 691 14,198 2008 61,379 38,995 14,463 621 7,300 2009 51,690 31,847 11,181 477 8,185 2010 44,968 30,806 9,364 376 4,422 2011 31,152 20,844 6,637 301 3,370 2012 25,702 17,521 5,102 394 2,685 2010 January 6,193 4,381 1,188 48 576

18

SAS Output  

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

E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 682,060 0 9,585 727 671,747 2003 746,375 0 10,893 762 734,720 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357 1,064 856,620 2011 893,314 0 16,577 1,022 875,716 2012 883,158 0 19,251 949 862,958 2010 January 73,418 0 1,677 91 71,651 February 67,994 0 1,689 81 66,224

19

SAS Output  

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

F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 66,270 3,930 59,149 1,753 1,438 2004 70,489 5,373 60,929 2,098 2,089 2005 68,897 5,650 59,144 2,571 1,532 2006 77,004 8,287 64,217 3,937 563 2007 80,697 8,620 68,657 2,875 544 2008 94,768 10,242 81,300 2,879 346 2009 100,261 9,748 87,086 3,089 337 2010 106,681 10,029 93,405 3,011 236 2011 114,173 11,146 91,279 11,497 251 2012 125,927 12,721 101,379 10,512 1,315 2010 January 8,502 853 7,379 251 19 February 7,882 830 6,823 209 20

20

SAS Output  

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

E. Other Waste Biomass: Consumption for Useful Thermal Output, E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 29,854 0 10,655 757 18,442 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0 6,460 1,566 35,458 2012 46,863 0 6,914 1,796 38,153 2010 January 4,885 0 1,088 137 3,661 February 4,105 0 943 137 3,025 March 4,398 0 845 136 3,417 April 4,224 0 399 138 3,688

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

E. Petroleum Coke: Consumption for Useful Thermal Output, E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 14,395 0 3,192 179 11,024 2003 21,170 0 2,282 244 18,644 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012 38,777 0 3,281 315 35,181 2010 January 2,683 0 285 33 2,365 February 2,770 0 302 29 2,439 March 2,424 0 338 36 2,050 April 2,257 0 255 22 1,980

22

SAS Output  

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

F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 64,629 2,456 26,514 5,323 30,337 2004 49,443 2,014 21,294 6,935 19,201 2005 55,862 2,485 17,640 6,763 28,974 2006 54,693 2,611 16,348 6,755 28,980 2007 60,840 2,992 19,155 6,692 32,001 2008 66,139 3,409 22,419 5,227 35,085 2009 66,658 3,679 23,586 5,398 33,994 2010 77,150 3,668 22,884 5,438 45,159 2011 74,255 4,488 22,574 5,382 41,810 2012 77,205 4,191 22,654 5,812 44,548 2010 January 7,109 189 2,166 458 4,295 February 6,441 275 2,151 429 3,586

23

SAS Output  

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

F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,135,572 2,307,358 3,481,961 75,985 1,270,268 2003 6,498,549 1,809,003 3,450,177 60,662 1,178,707 2004 6,912,661 1,857,247 3,749,945 73,744 1,231,725 2005 7,220,520 2,198,098 3,837,717 69,682 1,115,023 2006 7,612,500 2,546,169 3,847,644 69,401 1,149,286 2007 8,181,986 2,808,500 4,219,827 71,560 1,082,099 2008 7,900,986 2,803,283 4,046,069 67,571 984,062 2009 8,138,385 2,981,285 4,062,633 77,077 1,017,390 2010 8,694,186 3,359,035 4,191,241 87,357 1,056,553

24

SAS Output  

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

B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 1,358 0 311 865 182 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190 2010 January 191 0 69 107 14 February 178 0 61 106 11 March 204 0 66 126 12 April 207 0 67 127 13 May 249 0 67 167 15 June 204 0 69 120 14 July 194 0 68 115 11

25

SAS Output  

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

C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 137,414 9,168 122,100 3,280 2,865 2004 146,018 11,250 126,584 4,091 4,093 2005 143,822 11,490 124,030 5,232 3,070 2006 162,084 16,617 136,632 7,738 1,096 2007 168,762 17,442 144,490 5,699 1,131 2008 196,802 20,465 170,001 5,668 668 2009 207,585 19,583 181,234 6,106 661 2010 219,954 19,975 193,623 5,905 451 2011 235,990 22,086 183,609 29,820 474 2012 259,564 25,193 204,753 27,012 2,606 2010 January 17,649 1,715 15,406 491 37 February 16,300 1,653 14,198 410 38

26

SAS Output  

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

C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,353 2,125 3,691 8 1,529 2003 7,067 2,554 3,245 11 1,257 2004 8,721 4,150 3,223 9 1,339 2005 9,113 4,130 3,953 9 1,020 2006 8,622 3,619 3,482 10 1,511 2007 7,299 2,808 2,877 12 1,602 2008 6,314 2,296 2,823 10 1,184 2009 5,828 2,761 1,850 9 1,209 2010 6,053 3,325 1,452 12 1,264 2011 6,092 3,449 1,388 6 1,248 2012 5,021 2,105 869 13 2,034 2010 January 525 283 130 1 110 February 497 258 131 1 106 March 522 308 119 1 94

27

SAS Output  

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

E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 13,694 0 3,118 8,858 1,718 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0 5,807 9,731 1,227 2012 16,310 0 4,180 10,615 1,515 2010 January 1,476 0 518 851 107 February 1,365 0 444 835 86 March 1,572 0 486 992 93 April 1,598 0 495 1,003 100

28

SAS Output  

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

B. Petroleum Liquids: Consumption for Useful Thermal Output, B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 12,228 0 286 384 11,558 2003 14,124 0 1,197 512 12,414 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012 3,097 0 992 122 1,984 2010 January 606 0 105 31 470 February 504 0 78 26 401 March 335 0 46 7 281 April 355 0 86 9 260 May 340 0 93 14 232

29

SAS Output  

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

E. Natural Gas: Consumption for Useful Thermal Output, E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 885,987 0 267,675 45,359 572,953 2003 762,779 0 250,120 21,238 491,421 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001 486,274 2011 861,006 0 315,411 40,976 504,619 2012 909,087 0 330,354 48,944 529,788 2010 January 74,586 0 27,368 4,148 43,070 February 65,539 0 24,180 3,786 37,573

30

SAS Output  

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

F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 912,218 553,390 243,561 7,229 108,031 2003 1,174,795 658,868 387,341 8,534 120,051 2004 1,156,763 651,712 358,685 11,763 134,603 2005 1,160,733 618,811 395,489 9,614 136,820 2006 546,529 335,130 112,052 5,444 93,903 2007 595,191 355,999 147,579 4,259 87,354 2008 377,848 242,379 87,460 3,743 44,266 2009 315,420 196,346 66,834 2,903 49,336 2010 273,357 188,987 55,444 2,267 26,660 2011 186,753 125,755 39,093 1,840 20,066 2012 153,189 105,179 29,952 2,364 15,695

31

SAS Output  

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

B. Natural Gas: Consumption for Useful Thermal Output, B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 860,024 0 263,619 41,435 554,970 2003 721,267 0 225,967 19,973 475,327 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769 46,324 473,683 2011 839,681 0 308,669 39,856 491,155 2012 886,103 0 322,607 47,883 515,613 2010 January 72,867 0 26,791 4,086 41,990

32

SAS Output  

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

E. Coal: Consumption for Useful Thermal Output, E. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 421,084 0 50,041 23,099 347,944 2003 416,700 0 47,817 28,479 340,405 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011 479,822 0 84,855 28,056 366,911 2012 420,923 0 58,275 23,673 338,975 2010 January 44,514 0 8,627 3,445 32,442 February 40,887 0 8,041 3,024 29,823

33

SAS Output  

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

F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,287,114 10,659 139,532 1,196 1,135,727 2003 1,265,669 16,545 150,745 1,199 1,097,180 2004 1,360,258 19,973 145,216 1,661 1,193,408 2005 1,352,582 27,373 157,600 1,235 1,166,373 2006 1,399,235 27,455 154,360 1,314 1,216,106 2007 1,335,511 31,568 154,388 2,040 1,147,516 2008 1,262,675 29,150 148,198 1,410 1,083,917 2009 1,136,729 29,565 150,481 1,408 955,276 2010 1,225,571 40,167 155,429 1,338 1,028,637 2011 1,240,937 35,474 146,684 1,504 1,057,275

34

SAS Output  

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

F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 161,803 5,766 132,065 21,953 2,020 2004 161,567 3,705 129,562 25,204 3,096 2005 164,635 4,724 131,080 24,914 3,918 2006 168,716 4,078 135,127 25,618 3,893 2007 162,482 4,557 133,509 21,393 3,022 2008 166,723 4,476 136,080 26,108 59 2009 165,755 3,989 132,877 27,868 1,021 2010 162,436 3,322 130,467 27,509 1,138 2011 152,007 3,433 121,648 25,664 1,262 2012 152,045 3,910 117,598 28,923 1,614 2010 January 13,015 244 10,405 2,260 107

35

SAS Output  

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

C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 22,554 695 18,611 2,952 296 2004 22,330 444 17,959 3,439 488 2005 22,089 560 17,655 3,289 584 2006 22,469 500 18,068 3,356 545 2007 21,796 553 17,885 2,921 437 2008 22,134 509 18,294 3,323 8 2009 22,095 465 17,872 3,622 137 2010 21,725 402 17,621 3,549 152 2011 19,016 388 15,367 3,103 158 2012 18,954 418 14,757 3,577 203 2010 January 1,737 30 1,402 291 14 February 1,562 25 1,276 250 11 March 1,854 36 1,500 306 12

36

New Contract Helps Portsmouth GDP Cleanup | Department of Energy  

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

Contract Helps Portsmouth GDP Cleanup Contract Helps Portsmouth GDP Cleanup New Contract Helps Portsmouth GDP Cleanup August 18, 2010 - 10:47am Addthis Elizabeth Meckes Elizabeth Meckes Director of User Experience & Digital Technologies, Office of Public Affairs Last week, we took a closer look at the dismantling of the final W62 warhead, a major milestone in the nation's efforts to reduce the amount of nuclear weapons in its stockpile. But after five decades of nuclear weapons production, the Cold War didn't just create a stockpile -- it left 1.5 million cubic meters of solid waste and 88 million gallons of liquid waste. This waste requires treatment and permanent safe storage in gaseous diffusion plants, like the Portsmouth Gaseous Diffusion Plant (GDP) in south-central Ohio. This week, the Department of Energy accelerated Portsmouth GDP cleanup

37

Output Analysis  

Science Journals Connector (OSTI)

Every discrete-event simulation experiment with random input generates random sample paths as output. Each path usually consists of a sequence of dependent observations that serve as the raw material for estim...

George S. Fishman

2001-01-01T23:59:59.000Z

38

Industrial  

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

Products Industrial Institutional Multi-Sector Residential Momentum Savings Regional Efficiency Progress Report Utility Toolkit Energy Smart Industrial - Energy Management...

39

Industry  

E-Print Network [OSTI]

2004). US DOEs Industrial Assessment Centers (IACs) are anof Energys Industrial Assessment Center program in SMEs

Bernstein, Lenny

2008-01-01T23:59:59.000Z

40

Electricity demand, GDP and employment: evidence from Italy  

Science Journals Connector (OSTI)

This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a su...

Cosimo Magazzino

2014-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

4. Weighted Average Cost of Fossil Fuels for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas Total Fossil Bituminous Subbituminous Lignite All Coal Ranks...

42

SAS Output  

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

2012 (From Chapter 2.) Supply (Million Megawatthours) Generation Year Electric Utilities IPP (Non-CHP) IPP (CHP) Commercial Sector Industrial Sector Total Imports Total...

43

SAS Output  

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

4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" 4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" "(dollars per short ton)" ,2012,,,,2011,,,,"Annual Percent Change" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial" "and State","Power1","Industrial",,"and","Power1","Industrial",,"and","Power1","Industrial",,"and" ,,,,"Institutional",,,,"Institutional",,,,"Institutional" "New England",88.32,165.17,"-","-",87.62,"w","-","-",0.8,"w","-","-"

44

SAS Output  

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

Coal Receipts at Other Industrial Plants by Census Division and State" Coal Receipts at Other Industrial Plants by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w","w","w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",627,587,637,1214,1254,-3.1 " New York",214,178,194,392,377,4

45

SAS Output  

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

Average Price of Coal Receipts at Other Industrial Plants by Census Division and State" Average Price of Coal Receipts at Other Industrial Plants by Census Division and State" "(dollars per short ton)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w","w","w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",87.05,93.03,93.73,89.93,95.68,-6 " New York",102.14,105.8,117.15,103.8,117.61,-11.7

46

SAS Output  

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

Coal Consumption at Other Industrial Plants by Census Division and State" Coal Consumption at Other Industrial Plants by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w",20,"w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",583,589,651,1171,1237,-5.3 " New York",155,181,206,337,374,-10.1

47

SAS Output  

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

7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" 7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" "(thousand short tons)" ,2012,,,,,2011,,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Producer","Electric","Other","Coke","Commercial","Producer",2012,2011,"Percent" "and State","Power1","Industrial",,"and","and","Power1","Industrial",,"and","and",,,"Change" ,,,,"Institutional","Distributor",,,,"Institutional","Distributor" "New England",1030,13,"-","-","-",1389,"w","-","-","-",1042,"w","w"

48

SAS Output  

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

9. Coal Stocks at Other Industrial Plants by Census Division and State" 9. Coal Stocks at Other Industrial Plants by Census Division and State" "(thousand short tons)" "Census Division","June 30 2013","March 31 2013","June 30 2012","Percent Change" "and State",,,,"(June 30)" ,,,,"2013 versus 2012" "New England","w","w",21,"w" " Maine","w","w","w","w" " Massachusetts","w","w","w","w" "Middle Atlantic",295,251,286,3.2 " New York",137,78,107,27.6 " Pennsylvania",158,172,179,-11.5 "East North Central",734,692,761,-3.5 " Illinois",160,152,187,-14.1

49

SAS Output  

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

2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 40,020 1,319 2,550 214,137 5,961 12,550 4,732 281,269 2003 38,249 5,551 1,828 200,077 9,282 19,785 3,296 278,068 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167 22,109 17,052 4,854 292,234 2009 38,015 5,341 1,445 190,875 19,830 17,625 5,055 278,187

50

SAS Output  

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

3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 18,477 2,600 143 36,265 0 6,902 4,801 69,188 2003 22,780 2,520 196 16,955 0 8,296 6,142 56,889 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155 25,902 0 8,450 5,761 61,420 2010 19,216 845 216 29,791 13 7,917 5,333 63,330 2011 17,234 687 111 24,848 14 7,433 5,988 56,314

51

Introduction to the Industrial Technologies Program (ITP) Webinar, January 15, 2009  

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

Jim Quinn Jim Quinn Industrial Technologies Program U.S. Department of Energy Introduction to the Industrial Technologies Program (ITP) Webinar January 15, 2009 2 U.S. Industry and Energy Use R&D Program Technology Delivery Partnerships Energy Management Approach Opportunities Outline 3 Industrial Technologies Program (ITP) Mission Improve national energy security, climate, environment, and economic competitiveness by transforming the way U.S. industry uses energy. 4 Industry: Key to U.S. Economic & Energy Security U.S. manufacturing sector * Consumes more energy than any other economic sector (~32 quads) * Produces about 1,670 MMT CO 2 per year from energy use * Makes highest contribution to GDP (12%) * Produces nearly a quarter of world manufacturing output * Supplies >60% of US exports, worth $50

52

SAS Output  

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

0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" "NAICS Code","June 30 2013","March 31 2013","June 30 2012","Percent Change" ,,,,"(June 30)" ,,,,"2013 versus 2012" "311 Food Manufacturing",875,926,1015,-13.9 "312 Beverage and Tobacco Product Mfg.",26,17,19,35.8 "313 Textile Mills",22,22,25,-13.9 "315 Apparel Manufacturing","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w" "322 Paper Manufacturing",570,583,743,-23.3 "324 Petroleum and Coal Products*",127,113,156,-18.7

53

SAS Output  

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

9. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 9. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(dollars per short ton)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",51.17,49.59,50.96,50.35,50.94,-1.2 "312 Beverage and Tobacco Product Mfg.",111.56,115.95,113.47,113.49,117.55,-3.5 "313 Textile Mills",115.95,118.96,127.41,117.4,128.07,-8.3 "315 Apparel Manufacturing","w","w","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w","w","w"

54

SAS Output  

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

5. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 5. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",2256,2561,1864,4817,4343,10.9 "312 Beverage and Tobacco Product Mfg.",38,50,48,88,95,-7.7 "313 Textile Mills",31,29,21,60,59,2.2 "315 Apparel Manufacturing","w","w","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w","w","w"

55

SAS Output  

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

8. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 8. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",2214,2356,1994,4570,4353,5 "312 Beverage and Tobacco Product Mfg.",48,37,53,85,90,-5.6 "313 Textile Mills",31,29,22,59,63,-6.1 "315 Apparel Manufacturing","w","w","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w","w","w"

56

SAS Output  

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

1. Total Electric Power Industry Summary Statistics, 2012 and 2011 1. Total Electric Power Industry Summary Statistics, 2012 and 2011 Net Generation and Consumption of Fuels for January through December Total (All Sectors) Electric Power Sector Commercial Industrial Electric Utilities Independent Power Producers Fuel Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Net Generation (Thousand Megawatthours) Coal 1,514,043 1,733,430 -12.7% 1,146,480 1,301,107 354,076 416,783 883 1,049 12,603 14,490 Petroleum Liquids 13,403 16,086 -16.7% 9,892 11,688 2,757 3,655 191 86 563 657 Petroleum Coke 9,787 14,096 -30.6% 5,664 9,428 1,758 3,431 6 3 2,359 1,234 Natural Gas 1,225,894 1,013,689 20.9% 504,958 414,843 627,833 511,447 6,603 5,487 86,500 81,911

57

SAS Output  

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

1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 336,848 61,313 11,513 708,738 117,513 571,509 48,263 1,855,697 2003 333,361 68,329 16,934 610,122 110,263 632,366 54,960 1,826,335 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 2005 341,806 79,362 13,021 624,008 138,469 664,691 41,400 1,902,757 2006 332,548 54,224 24,009 603,288 126,049 689,549 49,308 1,878,973 2007 326,803 50,882 25,373 554,394 116,313 651,230 46,822 1,771,816 2008 315,244 29,554 18,263 509,330 110,680 610,131 23,729 1,616,931 2009 281,557 32,591 20,308 513,002 99,556 546,974 33,287 1,527,276

58

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network [OSTI]

Industry Constraining Energy Consumption of Chinas Largestone-to-one ratio of energy consumption to GDP given Chinagoal of reducing energy consumption per unit of GDP by 20%

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

59

Industry  

E-Print Network [OSTI]

Information on corn wet milling. Corn Refiners Association corn wet milling industry: An ENERGYas an automotive fuel. Corn wet milling is the most energy-

Bernstein, Lenny

2008-01-01T23:59:59.000Z

60

Industry  

E-Print Network [OSTI]

increased use of biomass and energy efficiency improvements,Moreira, J. , 2006: Global biomass energy potential. Journal19712004 Notes 1) Biomass energy included 2) Industrial

Bernstein, Lenny

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

7. U.S. Coal Stocks, 2007 - 2013" 7. U.S. Coal Stocks, 2007 - 2013" "(thousand short tons)" ,"Coal Consumers" "Last Day of Quarter","Electric","Coke","Other","Commercial","Total","Coal Producers","Total" ,"Power","Plants","Industrial2","and",,"and" ,"Sector1",,,"Institutional Users",,"Distributors" 2007 " March 31",141389,2444,5756,"-",149588,34007,183595 " June 30",154812,2364,5672,"-",162849,32484,195333 " September 30",142666,1972,5811,"-",150448,30090,180538 " December 31",151221,1936,5624,"-",158781,33977,192758

62

SAS Output  

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

U.S. Coal Consumption by End-Use Sector, 2007 - 2013" U.S. Coal Consumption by End-Use Sector, 2007 - 2013" "(thousand short tons)" ,,,"Other Industrial",,,"Commercial and Institutional" "Year and","Electric","Coke","CHP2","Non-","Total","CHP4","Non-","Total","Total" "Quarter","Power","Plants",,"CHP3",,,"CHP5" ,"Sector1" 2007 " January - March",257516,5576,5834,8743,14578,547,510,1058,278727 " April - June",246591,5736,5552,8521,14074,426,279,705,267106 " July - September",283556,5678,5546,8180,13725,458,247,705,303665 " October - December",257478,5726,5605,8634,14238,495,563,1058,278500

63

SAS Output  

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

4. Existing Capacity by Producer Type, 2012 (Megawatts) 4. Existing Capacity by Producer Type, 2012 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,624 680,592 621,785 644,358 Independent Power Producers, Non-Combined Heat and Power Plants 6,148 412,045 374,964 389,349 Independent Power Producers, Combined Heat and Power Plants 609 39,916 35,266 38,023 Total 16,381 1,132,554 1,032,015 1,071,729 Commercial and Industrial Sectors Commercial Sector 962 3,610 3,223 3,349 Industrial Sector 1,680 31,832 27,795 29,381 Total 2,642 35,442 31,018 32,730 All Sectors Total 19,023 1,167,995 1,063,033 1,104,459 Notes: In 2011, EIA corrected the NAICS codes of several plants which resulted in a net capacity shift from the electric utility sector to the commercial sector.

64

SAS Output  

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

2.1. Number of Ultimate Customers Served by Sector, by Provider, 2.1. Number of Ultimate Customers Served by Sector, by Provider, 2002 through 2012 Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 116,622,037 15,333,700 601,744 N/A 1,066,554 133,624,035 2003 117,280,481 16,549,519 713,221 1,127 N/A 134,544,348 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 124,937,469 17,562,726 774,713 727 N/A 143,275,635 2009 125,177,175 17,561,661 757,519 705 N/A 143,497,060 2010 125,717,935 17,674,338 747,746 239 N/A 144,140,258 2011 126,143,072 17,638,062 727,920 92 N/A 144,509,146

65

SAS Output  

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

3. Revenue from Retail Sales of Electricity to Ultimate Customers 3. Revenue from Retail Sales of Electricity to Ultimate Customers by Sector, by Provider, 2002 through 2012 (Million Dollars) Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 106,834 87,117 48,336 N/A 7,124 249,411 2003 111,249 96,263 51,741 514 N/A 259,767 2004 115,577 100,546 53,477 519 N/A 270,119 2005 128,393 110,522 58,445 643 N/A 298,003 2006 140,582 122,914 62,308 702 N/A 326,506 2007 148,295 128,903 65,712 792 N/A 343,703 2008 155,433 138,469 68,920 827 N/A 363,650 2009 157,008 132,940 62,504 828 N/A 353,280 2010 166,782 135,559 65,750 815 N/A 368,906 2011 166,714 135,926 67,606 803 N/A 371,049 2012 163,280 133,898 65,761 747 N/A 363,687

66

SAS Output  

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

0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 2003 through 2012 Capacity (MW) Customers Year Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Historical Data 2003 N/A N/A N/A N/A N/A 5,870 775 168 -- 6,813 2004 N/A N/A N/A N/A N/A 14,114 1,494 215 3 15,826 2005 N/A N/A N/A N/A N/A 19,244 1,565 337 -- 21,146 2006 N/A N/A N/A N/A N/A 30,689 2,553 376 -- 33,618 2007 N/A N/A N/A N/A N/A 44,450 3,513 391 -- 48,354 2008 N/A N/A N/A N/A N/A 64,400 5,305 304 -- 70,009 2009 N/A N/A N/A N/A N/A 88,205 7,365 919 -- 96,489 Photovoltaic 2010 697.890 517.861 243.051 -- 1,458.802 137,618 11,897 1,225 -- 150,740

67

SAS Output  

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

1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2002 294,234 13,659 1.45 31.29 1.56 52.1 29,137 4,638 3.55 22.33 1.24 26.5 2003 322,547 15,076 1.45 31.01 1.37 60.7 27,538 4,624 4.85 28.86 1.25 23.2 2004 326,495 15,324 1.63 34.79 1.43 57.6 25,491 4,107 4.98 30.93 1.38 18.5 2005 339,968 16,011 1.94 41.17 1.42 61.9 36,383 5,876 6.64 41.13 1.36 26.4

68

SAS Output  

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

. Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2002 884,287 0.94 1.25 25.52 120,851 1.64 3.34 20.77 5,607,737 3.56 1.86 2003 986,026 0.97 1.28 26.00 185,567 1.53 4.33 26.78 5,500,704 5.39 2.28 2004 1,002,032 0.97 1.36 27.42 186,655 1.66 4.29 26.56 5,734,054 5.96 2.48 2005 1,021,437 0.98 1.54 31.20 194,733 1.61 6.44 39.65 6,181,717 8.21 3.25

69

SAS Output  

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

2. Electric Power Industry - Electricity Sales for Resale, 2. Electric Power Industry - Electricity Sales for Resale, 2002 through 2012 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2002 1,838,901 5,757,283 943,531 28,963 8,568,678 2003 1,824,030 3,906,220 1,156,796 33,909 6,920,954 2004 1,923,440 3,756,175 1,053,364 25,996 6,758,975 2005 1,925,710 2,867,048 1,252,796 26,105 6,071,659 2006 1,698,389 2,446,104 1,321,342 27,638 5,493,473 2007 1,603,179 2,476,740 1,368,310 31,165 5,479,394 2008 1,576,976 2,718,661 1,355,017 30,079 5,680,733 2009 1,495,636 2,240,399 1,295,857 33,139 5,065,031 2010 1,541,554 2,946,452 1,404,137 37,068 5,929,211 2011 1,529,434 2,206,981 1,372,306 34,400 5,143,121

70

SAS Output  

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

B. Net Generation from Renewable Sources: Industrial Sector, 2002 - 2012 B. Net Generation from Renewable Sources: Industrial Sector, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 0 N/A N/A 29,643 N/A N/A N/A 0 3,825 N/A 2003 0 0 0 27,988 96 36 583 0 4,222 32,926 2004 0 0 0 28,367 120 30 647 0 3,248 32,413 2005 0 0 0 28,271 113 34 585 0 3,195 32,199 2006 0 0 0 28,400 29 35 509 0 2,899 31,872 2007 0 0 0 28,287 27 40 565 0 1,590 30,509 2008 0 0 0 26,641 21 0 800 0 1,676 29,138 2009 0 0 0 25,292 22 0 718 0 1,868 27,901 2010 0 2 0 25,706 15 0 853 0 1,668 28,244

71

SAS Output  

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

. Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 . Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 Bituminous Subbituminous Lignite Period Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight 2002 423,128 1.47 10.1 391,785 0.36 6.2 65,555 0.93 13.3 2003 467,286 1.50 10.0 432,513 0.38 6.4 79,869 1.03 14.4 2004 470,619 1.52 10.4 445,603 0.36 6.0 78,268 1.05 14.2 2005 480,179 1.56 10.5 456,856 0.36 6.2 77,677 1.02 14.0 2006 489,550 1.59 10.5 504,947 0.35 6.1 75,742 0.95 14.4 2007 467,817 1.62 10.3 505,155 0.34 6.0 71,930 0.90 14.0

72

SAS Output  

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

A. Net Generation by Energy Source: Industrial Sector, 2002 - 2012 A. Net Generation by Energy Source: Industrial Sector, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 21,525 3,196 1,207 79,013 9,493 0 3,825 30,489 0 3,832 152,580 2003 19,817 3,726 1,559 78,705 12,953 0 4,222 28,704 0 4,843 154,530 2004 19,773 4,128 1,839 78,959 11,684 0 3,248 29,164 0 5,129 153,925 2005 19,466 3,804 1,564 72,882 9,687 0 3,195 29,003 0 5,137 144,739 2006 19,464 2,567 1,656 77,669 9,923 0 2,899 28,972 0 5,103 148,254 2007 16,694 2,355 1,889 77,580 9,411 0 1,590 28,919 0 4,690 143,128

73

SAS Output  

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

. Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewables Hydroelectric Pumped Storage Other Energy Sources Total (All Sectors) 2002 633 1,147 1,649 40 66 1,426 682 38 28 2003 629 1,166 1,693 40 66 1,425 741 38 27 2004 625 1,143 1,670 46 66 1,425 749 39 28 2005 619 1,133 1,664 44 66 1,422 781 39 29 2006 616 1,148 1,659 46 66 1,421 843 39 29 2007 606 1,163 1,659 46 66 1,424 929 39 25 2008 598 1,170 1,655 43 66 1,423 1,076 39 29 2009 593 1,168 1,652 43 66 1,427 1,219 39 28 2010 580 1,169 1,657 48 66 1,432 1,355 39 32

74

SAS Output  

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

2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 (continued) 2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 3,846 138 0.76 21.20 5.91 9.1 852,547 828,439 3.36 3.46 66.8 2.88 2003 16,383 594 1.04 28.74 5.73 47.3 823,681 798,996 5.32 5.48 69.9 4.20 2004 14,876 540 0.98 27.01 5.59 40.4 839,886 814,843 6.04 6.22 68.4 4.76 2005 16,620 594 1.21 33.75 5.44 58.2 828,882 805,132 8.00 8.24 74.3 6.18

75

SAS Output  

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

2. Retail Sales and Direct Use of Electricity to Ultimate Customers 2. Retail Sales and Direct Use of Electricity to Ultimate Customers by Sector, by Provider, 2002 through 2012 (Megawatthours) Year Residential Commercial Industrial Transportation Other Total Direct Use Total End Use Total Electric Industry 2002 1,265,179,869 1,104,496,607 990,237,631 N/A 105,551,904 3,465,466,011 166,184,296 3,631,650,307 2003 1,275,823,910 1,198,727,601 1,012,373,247 6,809,728 N/A 3,493,734,486 168,294,526 3,662,029,012 2004 1,291,981,578 1,230,424,731 1,017,849,532 7,223,642 N/A 3,547,479,483 168,470,002 3,715,949,485 2005 1,359,227,107 1,275,079,020 1,019,156,065 7,506,321 N/A 3,660,968,513 150,015,531 3,810,984,044 2006 1,351,520,036 1,299,743,695 1,011,297,566 7,357,543 N/A 3,669,918,840 146,926,612 3,816,845,452

76

SAS Output  

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

1. Emissions from Energy Consumption at 1. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants 2002 through 2012 (Thousand Metric Tons) Year Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) 2002 2,423,963 10,881 5,194 2003 2,445,094 10,646 4,532 2004 2,486,982 10,309 4,143 2005 2,543,838 10,340 3,961 2006 2,488,918 9,524 3,799 2007 2,547,032 9,042 3,650 2008 2,484,012 7,830 3,330 2009 2,269,508 5,970 2,395 2010 2,388,596 5,400 2,491 2011 2,287,071 4,845 2,406 2012 2,156,875 3,704 2,148 Notes: The emissions data presented include total emissions from both electricity generation and the production of useful thermal output. See Appendix A, Technical Notes, for a description of the sources and methodology used to develop the emissions estimates.

77

SAS Output  

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

1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 56 121 -54% 0 0 0 94 0 0 56 27

78

SAS Output  

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

5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: 5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Industrial Sector by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 19 0.66 6.9 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0 -- -- Maine 19 0.66 6.9 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- --

79

SAS Output  

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

Major U.S. Coal Producers, 2012" Major U.S. Coal Producers, 2012" "Rank","Controlling Company Name","Production (thousand short tons)","Percent of Total Production" 1,"Peabody Energy Corp",192563,18.9 2,"Arch Coal Inc",136992,13.5 3,"Alpha Natural Resources LLC",104306,10.3 4,"Cloud Peak Energy",90721,8.9 5,"CONSOL Energy Inc",55752,5.5 6,"Alliance Resource Operating Partners LP",35406,3.5 7,"Energy Future Holdings Corp",31032,3.1 8,"Murray Energy Corp",29216,2.9 9,"NACCO Industries Inc",28207,2.8 10,"Patriot Coal Corp",23946,2.4 11,"Peter Kiewit Sons Inc",22725,2.2 12,"Westmoreland Coal Co",22215,2.2 13,"BHP Billiton Ltd",12580,1.2

80

SAS Output  

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

4. Average Retail Price of Electricity to Ultimate Customers 4. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector 2002 through 2012 (Cents per kilowatthour) Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 8.44 7.89 4.88 N/A 6.75 7.20 2003 8.72 8.03 5.11 7.54 N/A 7.44 2004 8.95 8.17 5.25 7.18 N/A 7.61 2005 9.45 8.67 5.73 8.57 N/A 8.14 2006 10.40 9.46 6.16 9.54 N/A 8.90 2007 10.65 9.65 6.39 9.70 N/A 9.13 2008 11.26 10.36 6.83 10.74 N/A 9.74 2009 11.51 10.17 6.81 10.65 N/A 9.82 2010 11.54 10.19 6.77 10.57 N/A 9.83 2011 11.72 10.23 6.82 10.46 N/A 9.90 2012 11.88 10.09 6.67 10.21 N/A 9.84 Full-Service Providers 2002 8.40 7.77 4.78 N/A 6.65 7.13 2003 8.68 7.89 5.01 6.82 N/A 7.38

Note: This page contains sample records for the topic "gdp industrial output" from the National Library of EnergyBeta (NLEBeta).
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81

SAS Output  

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

3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Cubic Foot 2002 10,168 0.94 8.7 147,903 1.64 0.2 1,025 2003 10,137 0.97 9.0 147,086 1.53 0.1 1,030 2004 10,074 0.97 9.0 147,286 1.66 0.2 1,027 2005 10,107 0.98 9.0 146,481 1.61 0.2 1,028 2006 10,063 0.97 9.0 143,883 2.31 0.2 1,027 2007 10,028 0.96 8.8 144,546 2.10 0.1 1,027 2008 9,947 0.97 9.0 142,205 2.21 0.3 1,027 2009 9,902 1.01 8.9 141,321 2.14 0.2 1,025 2010 9,842 1.16 8.8 140,598 2.14 0.2 1,022

82

Analysis and Decomposition of the Energy Intensity of Industries in  

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

and Decomposition of the Energy Intensity of Industries in and Decomposition of the Energy Intensity of Industries in California Title Analysis and Decomposition of the Energy Intensity of Industries in California Publication Type Journal Article Year of Publication 2012 Authors de la du Can, Stephane Rue, Ali Hasanbeigi, and Jayant A. Sathaye Journal Energy Policy Volume 46 Pagination 234-245 Keywords california, co2 emissions, energy intensity, energy use Abstract In 2008, the gross domestic product (GDP) of California industry was larger than GDP of industry in any other U.S. states. This study analyses the energy use of and output from seventeen industry subsectors in California and performs decomposition analysis to assess the influence of different factors on California industry energy use. The logarithmic mean Divisia index method is used for the decomposition analysis. The decomposition analysis results show that the observed reduction of energy use in California industry since 2000 is the result of two main factors: the intensity effect and the structural effect. The intensity effect has started pushing final energy use downward in 2000 and has since amplified. The second large effect is the structural effect. The significant decrease of the energy-intensive "Oil and Gas Extraction" subsector's share of total industry value added, from 15% in 1997 to 5% in 2008, and the increase of the non-energy intensive "Electric and electronic equipment manufacturing" sector's share of value added, from 7% in 1997 to 30% in 2008, both contributed to a decrease in the energy intensity in the industry sector

83

Industry  

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

An Exploration of Innovation and An Exploration of Innovation and Energy Efficiency in an Appliance Industry Prepared by Margaret Taylor, K. Sydny Fujita, Larry Dale, and James McMahon For the European Council for an Energy Efficient Economy March 29, 2012 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL - 5689E An Exploration of Innovation and Energy Efficiency in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and direction of technological change of product industries; the factors that underlie the outcomes of innovation in these industries; and the ways the innovation system might respond to any given intervention. The report provides an overview of the dynamics of energy efficiency policy and innovation in the appliance

84

Industry  

E-Print Network [OSTI]

for im- proving energy efficiency of corn wet milling havefor the corn wet milling industry: An ENERGY STAR Guide forfuel. Corn wet milling is the most energy-intensive food

Bernstein, Lenny

2008-01-01T23:59:59.000Z

85

Industry  

E-Print Network [OSTI]

options for combined heat and power in Canada. Office ofpolicies to promote combined heat and power in US industry.with fuel inputs in combined heat and power plants being

Bernstein, Lenny

2008-01-01T23:59:59.000Z

86

Industry  

E-Print Network [OSTI]

EJ of primary energy, 40% of the global total of 227 EJ. Bytotal energy use by industry and on the fraction of electricity use consumed by motor driven systems was taken as representative of global

Bernstein, Lenny

2008-01-01T23:59:59.000Z

87

SAS Output  

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

9. Consumption of Coal for Electricity Generation by State by Sector, 9. Consumption of Coal for Electricity Generation by State by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 1,787 2,998 -40% 520 898 1,257 2,087 0 0 10 12 Connecticut 297 317 -6.5% 0 0 297 317 0 0 0 0 Maine 11 14 -18% 0 0 6 7 0 0 5 6 Massachusetts 959 1,769 -46% 0 0 954 1,763 0 0 5 6 New Hampshire 520 898 -42% 520 898 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 44,000 53,658 -18% 6 16 43,734 53,052 4 1 256 589

88

SAS Output  

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

D. Petroleum Liquids: Consumption for Electricity Generation, D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 835,481 553,390 241,892 3,953 36,243 2003 1,089,307 658,868 380,378 5,358 44,702 2004 1,031,954 651,712 350,093 4,544 25,606 2005 1,035,045 618,811 387,355 3,469 25,410 2006 459,392 335,130 105,312 1,963 16,987 2007 512,423 355,999 139,977 1,505 14,942 2008 332,367 242,379 79,816 957 9,215 2009 266,508 196,346 59,277 1,101 9,784 2010 244,114 188,987 49,042 970 5,115 2011 163,954 125,755 33,166 801 4,233 2012 134,956 105,179 24,081 1,618 4,078 2010 January 33,737 26,715 6,282 100 639

89

SAS Output  

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

D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 605,054 10,659 129,947 469 463,980 2003 519,294 16,545 139,852 437 362,460 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010 349,530 40,167 137,072 274 172,016 2011 347,623 35,474 130,108 482 181,559 2012 390,342 32,723 138,217 478 218,924 2010 January 29,578 3,731 11,954 23 13,870

90

SAS Output  

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

2. Demand-Side Management Program Annual Effects by Program 2. Demand-Side Management Program Annual Effects by Program Category, by Sector, 2002 through 2012 Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2002 15,284 24,803 10,242 -- 50,328 2003 12,914 24,758 10,031 551 48,254 2004 17,185 24,290 11,137 50 52,663 2005 18,894 28,073 11,986 47 59,000 2006 21,150 28,720 13,155 50 63,076 2007 22,772 30,359 14,038 108 67,278 2008 25,396 34,634 14,766 75 74,871 2009 27,395 34,831 14,610 76 76,912 2010 32,150 37,416 17,259 89 86,914 2011 46,790 50,732 23,061 76 120,659 2012 54,516 58,894 25,023 92 138,525 Energy Efficiency - Actual Peak Load Reduction (MW) 2002 5,300 5,389 2,768 -- 13,457 2003 5,909 4,911 2,671 94 13,585

91

SAS Output  

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

8. Retail Sales of Electricity to Ultimate Customers by End-Use Sector, 8. Retail Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Million Kilowatthours) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 47,208 47,481 44,864 45,018 27,818 27,927 566 569 120,456 120,995 Connecticut 12,758 12,919 12,976 13,087 3,566 3,668 193 185 29,492 29,859 Maine 4,481 4,382 4,053 4,018 3,027 3,016 0 0 11,561 11,415 Massachusetts 20,313 20,473 17,723 17,767 16,927 16,974 350 357 55,313 55,570 New Hampshire 4,439 4,454 4,478 4,478 1,953 1,936 0 0 10,870 10,869 Rhode Island 3,121 3,129 3,640 3,660 923 916 24 27 7,708 7,732

92

SAS Output  

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

0. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, 0. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Cents per Kilowatthour) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 15.71 15.89 13.68 14.31 11.83 12.55 6.68 7.85 14.02 14.49 Connecticut 17.34 18.11 14.65 15.57 12.67 13.24 9.69 10.25 15.54 16.35 Maine 14.66 15.38 11.53 12.29 7.98 8.88 -- -- 11.81 12.58 Massachusetts 14.91 14.67 13.84 14.33 12.57 13.38 4.91 6.14 13.79 14.11 New Hampshire 16.07 16.52 13.36 14.04 11.83 12.27 -- -- 14.19 14.74 Rhode Island 14.40 14.33 11.87 12.37 10.68 11.27 8.28 14.11 12.74 13.04

93

SAS Output  

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

D. Coal: Consumption for Electricity Generation, D. Coal: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 19,996,890 15,517,857 4,215,043 9,168 254,821 2003 20,366,879 15,391,188 4,745,545 13,080 217,066 2004 20,375,751 15,610,335 4,606,584 8,251 150,581 2005 20,801,716 15,397,688 5,250,824 8,314 144,889 2006 20,527,410 15,211,077 5,166,001 7,526 142,807 2007 20,841,871 15,436,110 5,287,202 7,833 110,727 2008 20,548,610 15,189,050 5,242,194 8,070 109,296 2009 18,240,611 13,744,178 4,390,596 7,007 98,829 2010 19,196,315 14,333,496 4,709,686 6,815 146,318 2011 18,074,298 13,551,416 4,399,144 7,263 116,475

94

SAS Output  

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

10.6. Advanced Metering Count by Technology Type, 10.6. Advanced Metering Count by Technology Type, 2007 through 2012 Year Residential Commercial Industrial Transportation Total Automated Meter Reading (AMR) 2007 25,785,782 2,322,329 44,015 109 28,152,235 2008 36,425,943 3,529,985 77,122 13 40,033,063 2009 41,462,111 4,239,531 107,033 11 45,808,686 2010 43,913,225 4,611,877 159,315 626 48,685,043 2011 41,451,888 4,341,105 172,692 77 45,965,762 2012 43,455,437 4,691,018 185,862 125 48,330,822 Advanced Metering Infrastructure (AMI) 2007 2,202,222 262,159 9,106 2 2,473,489 2008 4,190,244 444,003 12,757 12 4,647,016 2009 8,712,297 876,419 22,675 10 9,611,401 2010 18,369,908 1,904,983 59,567 67 20,334,525 2011 33,453,548 3,682,159 154,659 7 37,290,373

95

SAS Output  

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

2. Summary Statistics for the United States, 2002 - 2012 2. Summary Statistics for the United States, 2002 - 2012 (From Table 2.1.) Number of Ultimate Customers Year Residential Commercial Industrial Transportation Other Total 2002 116,622,037 15,333,700 601,744 N/A 1,066,554 133,624,035 2003 117,280,481 16,549,519 713,221 1,127 N/A 134,544,348 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 124,937,469 17,562,726 774,713 727 N/A 143,275,635 2009 125,177,175 17,561,661 757,519 705 N/A 143,497,060 2010 125,717,935 17,674,338 747,746 239 N/A 144,140,258 2011 126,143,072 17,638,062 727,920 92 N/A 144,509,146

96

SAS Output  

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

A. Natural Gas: Consumption for Electricity Generation, A. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,126,062 2,259,684 3,148,595 32,545 685,239 2003 5,616,135 1,763,764 3,145,485 38,480 668,407 2004 5,674,580 1,809,443 3,265,896 32,839 566,401 2005 6,036,370 2,134,859 3,349,921 33,785 517,805 2006 6,461,615 2,478,396 3,412,826 34,623 535,770 2007 7,089,342 2,736,418 3,765,194 34,087 553,643 2008 6,895,843 2,730,134 3,612,197 33,403 520,109 2009 7,121,069 2,911,279 3,655,712 34,279 519,799 2010 7,680,185 3,290,993 3,794,423 39,462 555,307 2011 7,883,865 3,446,087 3,819,107 47,170 571,501

97

SAS Output  

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

2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 460,887 461,590 -0.2% 3,652 4,218 428,781 432,350 8,630 6,287 19,824 18,735 Connecticut 120,380 110,546 8.9% 69 730 113,620 105,965 3,952 2,061 2,739 1,790 Maine 44,424 49,352 -10% 0 0 28,456 33,555 307 12 15,662 15,785 Massachusetts 184,330 190,063 -3.0% 2,792 2,393 176,497 182,865 3,749 3,761 1,293 1,045 New Hampshire 50,678 46,927 8.0% 754 1,046 49,655 45,765 139 0 131 115

98

SAS Output  

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

D. Other Waste Biomass: Consumption for Electricity Generation, D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 34,775 2,456 15,859 4,566 11,894 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790 8,090 2011 30,771 4,488 16,115 3,816 6,352 2012 30,342 4,191 15,740 4,016 6,395 2010 January 2,223 189 1,078 321 635 February 2,336 275 1,208 291 561 March 2,287 311 1,079 302 594

99

SAS Output  

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

6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 440,421 484,260 -9.1% 3,652 4,226 419,062 434,504 3,636 13,156 14,072 32,373 Connecticut 112,084 116,563 -3.8% 71 738 112,012 107,121 0 3,210 0 5,494 Maine 42,374 56,230 -25% 0 0 28,302 33,578 0 NM 14,072 22,639 Massachusetts 175,314 198,295 -12% 2,789 2,393 168,890 184,156 3,636 7,872 0 3,875 New Hampshire 50,408 47,137 6.9% 754 1,046 49,655 45,725 0 0 0 NM

100

SAS Output  

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

A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 21,196 695 18,300 2,087 115 2004 19,587 444 17,308 1,811 24 2005 19,370 560 17,033 1,753 25 2006 19,629 500 17,343 1,761 25 2007 19,576 553 17,116 1,785 122 2008 19,805 509 17,487 1,809 0 2009 19,669 465 17,048 2,155 0 2010 19,437 402 16,802 2,233 0 2011 16,972 388 14,625 1,955 4 2012 16,968 418 14,235 2,304 12 2010 January 1,546 30 1,332 184 0 February 1,384 25 1,215 144 0 March 1,650 36 1,434 180 0 April 1,655 33 1,426 196 0

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 9,595 9,945 -3.5% 0 0 9,074 9,945 520 0 0 0 Connecticut 595 624 -4.6% 0 0 595 624 0 0 0 0 Maine 518 524 -1.0% 0 0 518 524 0 0 0 0 Massachusetts 3,603 3,623 -0.6% 0 0 3,603 3,623 0 0 0 0 New Hampshire 1,790 1,485 21% 0 0 1,270 1,485 520 0 0 0 Rhode Island 2,409 3,037 -21% 0 0 2,409 3,037 0 0 0 0

102

SAS Output  

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

A. Landfill Gas: Consumption for Electricity Generation, A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 136,421 9,168 121,984 3,280 1,989 2004 143,844 11,250 125,848 4,081 2,665 2005 141,899 11,490 123,064 4,797 2,548 2006 160,033 16,617 136,108 6,644 664 2007 166,774 17,442 144,104 4,598 630 2008 195,777 20,465 169,547 5,235 530 2009 206,792 19,583 180,689 5,931 589 2010 218,331 19,975 192,428 5,535 393 2011 232,795 22,086 180,856 29,469 384 2012 256,376 25,193 201,965 26,672 2,545 2010 January 17,531 1,715 15,323 461 32 February 16,189 1,653 14,120 384 33

103

SAS Output  

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

A. Petroleum Coke: Consumption for Electricity Generation, A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,836 2,125 3,580 2 1,130 2003 6,303 2,554 3,166 2 582 2004 7,677 4,150 2,985 1 541 2005 8,330 4,130 3,746 1 452 2006 7,363 3,619 3,286 1 456 2007 6,036 2,808 2,715 2 512 2008 5,417 2,296 2,704 1 416 2009 4,821 2,761 1,724 1 335 2010 4,994 3,325 1,354 2 313 2011 5,012 3,449 1,277 1 286 2012 3,675 2,105 756 1 812 2010 January 433 283 121 0.17 29 February 404 258 120 0.15 25 March 438 308 108 0.19 23 April 382 253 107 0.12 22 May 415 261 129 0 25

104

SAS Output  

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

5. Retail Sales of Electricity to Ultimate Customers: 5. Retail Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2012 (Million Kilowatthours) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2003 1,275,824 1,198,728 1,012,373 6,810 3,493,734 2004 1,291,982 1,230,425 1,017,850 7,224 3,547,479 2005 1,359,227 1,275,079 1,019,156 7,506 3,660,969 2006 1,351,520 1,299,744 1,011,298 7,358 3,669,919 2007 1,392,241 1,336,315 1,027,832 8,173 3,764,561 2008 1,379,981 1,335,981 1,009,300 7,700 3,732,962 2009 1,364,474 1,307,168 917,442 7,781 3,596,865 2010 1,445,708 1,330,199 970,873 7,712 3,754,493 2011 1,422,801 1,328,057 991,316 7,672 3,749,846 2012 1,374,515 1,327,101 985,714 7,320 3,694,650 2010

105

SAS Output  

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

4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,041 4,122 -2.0% 0 0 3,838 3,922 203 200 0 0 Connecticut 1,415 1,442 -1.9% 0 0 1,415 1,442 0 0 0 0 Maine 440 445 -1.3% 0 0 237 246 203 200 0 0 Massachusetts 2,017 2,063 -2.2% 0 0 2,017 2,063 0 0 0 0 New Hampshire 169 172 -2.0% 0 0 169 172 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0

106

SAS Output  

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

6. Net Generation from Other Energy Sources 6. Net Generation from Other Energy Sources by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 2,153 2,019 6.7% 0 0 1,944 1,888 88 84 121 46 Connecticut 756 705 7.3% 0 0 756 704 0 0 0 1 Maine 424 390 8.7% 0 0 245 261 88 84 92 45 Massachusetts 906 860 5.5% 0 0 877 860 0 0 29 0 New Hampshire 66 64 2.6% 0 0 66 64 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 2,497 2,441 2.3% 0 0 1,924 1,975 465 344 107 122

107

SAS Output  

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

D. Landfill Gas: Consumption for Electricity Generation, D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 65,770 3,930 59,089 1,753 998 2004 69,331 5,373 60,514 2,093 1,351 2005 67,902 5,650 58,624 2,360 1,269 2006 75,970 8,287 63,950 3,388 345 2007 79,712 8,620 68,432 2,344 316 2008 94,215 10,242 81,029 2,668 276 2009 99,821 9,748 86,773 2,999 301 2010 105,835 10,029 92,763 2,837 205 2011 112,538 11,146 89,857 11,332 203 2012 124,297 12,721 99,938 10,356 1,282 2010 January 8,441 853 7,335 236 17 February 7,824 830 6,781 197 17 March 9,056 1,013 7,796 226 21

108

SAS Output  

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

D. Natural Gas: Consumption for Electricity Generation, D. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,249,585 2,307,358 3,214,286 30,626 697,315 2003 5,735,770 1,809,003 3,200,057 39,424 687,286 2004 5,827,470 1,857,247 3,351,469 33,623 585,132 2005 6,212,116 2,198,098 3,444,875 34,645 534,498 2006 6,643,926 2,546,169 3,508,597 35,473 553,687 2007 7,287,714 2,808,500 3,872,646 34,872 571,697 2008 7,087,191 2,803,283 3,712,872 34,138 536,899 2009 7,301,522 2,981,285 3,750,080 35,046 535,111 2010 7,852,665 3,359,035 3,882,995 40,356 570,279 2011 8,052,309 3,511,732 3,906,484 48,509 585,584

109

SAS Output  

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

A. Petroleum Liquids: Consumption for Electricity Generation, A. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 134,415 88,595 39,035 826 5,959 2003 175,136 105,319 61,420 882 7,514 2004 165,107 103,793 56,342 760 4,212 2005 165,137 98,223 62,154 580 4,180 2006 73,821 53,529 17,179 327 2,786 2007 82,433 56,910 22,793 250 2,480 2008 53,846 38,995 13,152 160 1,538 2009 43,562 31,847 9,880 184 1,652 2010 40,103 30,806 8,278 164 855 2011 27,326 20,844 5,633 133 716 2012 22,604 17,521 4,110 272 702 2010 January 5,587 4,381 1,083 17 106 February 2,156 1,599 454 15 88

110

SAS Output  

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

D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 148,110 5,766 128,947 13,095 302 2004 141,577 3,705 124,815 12,909 146 2005 144,339 4,724 126,529 12,923 164 2006 146,987 4,078 129,779 12,964 165 2007 146,308 4,557 127,826 13,043 881 2008 148,452 4,476 130,041 13,934 0 2009 146,971 3,989 126,649 16,333 0 2010 144,934 3,322 124,437 17,176 0 2011 135,241 3,433 115,841 15,933 34 2012 135,735 3,910 113,418 18,307 100 2010 January 11,540 244 9,886 1,410 0 February 10,313 190 9,030 1,094 0

111

SAS Output  

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

5. Net Generation from Hydroelectric (Pumped Storage) Power 5. Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England -305 -435 -29.9% 0 0 -305 -435 0 0 0 0 Connecticut 3 6 -51.5% 0 0 3 6 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts -308 -440 -30.1% 0 0 -308 -440 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic -1,022 -1,124 -9.0% -579 -630 -443 -494 0 0 0 0

112

SAS Output  

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

0. Net Generation from Natural Gas 0. Net Generation from Natural Gas by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 62,490 63,236 -1.2% 345 357 58,757 59,763 901 700 2,488 2,416 Connecticut 16,537 15,188 8.9% 6 NM 15,801 14,715 397 211 333 227 Maine 6,044 6,877 -12.1% 0 0 4,057 4,850 26 0.26 1,960 2,026 Massachusetts 24,672 25,940 -4.9% 278 240 23,812 25,120 416 443 166 136 New Hampshire 7,050 6,658 5.9% 58 80 6,947 6,552 16 0 29 26 Rhode Island 8,185 8,571 -4.5% 0 0 8,140 8,525 45 46 0 0

113

SAS Output  

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

5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 106 79 35% 0 0 0 23 0 0 106 56 New Jersey 0 NM NM 0 0 0 0 0 0 0 NM

114

SAS Output  

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

6. Net Generation 6. Net Generation by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 120,887 123,338 -2.0% 3,278 4,408 111,191 112,613 1,178 949 5,240 5,368 Connecticut 36,118 33,745 7.0% 37 93 35,347 33,208 397 211 337 233 Maine 14,429 15,974 -9.7% 0.17 1 10,186 10,890 208 176 4,035 4,907 Massachusetts 36,198 38,055 -4.9% 591 610 34,321 36,783 469 490 817 172 New Hampshire 19,264 20,066 -4.0% 2,017 2,994 17,170 17,020 49 20 29 31

115

SAS Output  

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

0. Net Generation from Solar 0. Net Generation from Solar by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 35 7 427.1% 9 4 25 2 1 1 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 30 5 521.6% 9 4 20 0.14 1 1 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 5 2 179.0% 0 0 5 2 0 0 0 0 Middle Atlantic 389 98 295.3% 41 19 303 65 37 8 8 5

116

SAS Output  

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

4. Net Generation from Renewable Sources Excluding Hydroelectric 4. Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 8,557 8,015 6.8% 664 574 5,652 5,352 136 104 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 4,099 4,495 -8.8% 0 0 2,468 2,421 92 89 1,539 1,985 Massachusetts 1,843 1,207 52.8% 68 48 1,198 1,145 11 13 566 0 New Hampshire 1,381 1,091 26.6% 347 291 1,003 800 31 0 0 0.35 Rhode Island 102 130 -21.8% 0 0 102 130 0 0 0 0

117

SAS Output  

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

9. Net Generation from Petroleum Coke 9. Net Generation from Petroleum Coke by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 76 344 -78.0% 0 0 0 263 0 0 76 81 New Jersey 40 58 -30.6% 0 0 0 0 0 0 40 58

118

SAS Output  

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

8. Net Generation from Petroleum Liquids 8. Net Generation from Petroleum Liquids by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 413 639 -35.4% 52 120 267 374 49 55 45 90 Connecticut 112 166 -32.6% 4 5 104 155 0.05 0 4 5 Maine 84 178 -52.8% 0.17 1 65 89 2 3 16 85 Massachusetts 174 197 -11.2% 15 40 98 128 37 28 25 NM New Hampshire 22 78 -72.1% 20 57 0.12 1 2 20 0.17 0.10 Rhode Island 18 14 31.0% 11 10 0.12 1 7 2 0 0 Vermont 3 8 -58.1% 2 6 0 0 1 2 0 0

119

SAS Output  

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

8. Net Generation from Biomass 8. Net Generation from Biomass by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 7,229 7,138 1.3% 570 515 4,428 4,544 125 94 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 3,212 3,788 -15.2% 0 0 1,581 1,714 92 89 1,539 1,985 Massachusetts 1,724 1,140 51.2% 0 0 1,157 1,137 1 3 566 0 New Hampshire 1,173 1,025 14.4% 347 291 795 734 31 0 0 0.35 Rhode Island 101 127 -21.1% 0 0 101 127 0 0 0 0

120

SAS Output  

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

2. Net Generation from Nuclear Energy 2. Net Generation from Nuclear Energy by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 36,116 34,283 5.3% 0 0 36,116 34,283 0 0 0 0 Connecticut 17,078 15,928 7.2% 0 0 17,078 15,928 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 5,860 5,085 15.2% 0 0 5,860 5,085 0 0 0 0 New Hampshire 8,189 8,363 -2.1% 0 0 8,189 8,363 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 4,989 4,907 1.7% 0 0 4,989 4,907 0 0 0 0

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

7. Net Generation from Coal 7. Net Generation from Coal by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,103 6,848 -40.1% 1,268 2,208 2,793 4,592 0 0 42 47 Connecticut 653 526 24.2% 0 0 653 526 0 0 0 0 Maine 45 55 -18.0% 0 0 30 38 0 0 15 18 Massachusetts 2,137 4,059 -47.4% 0 0 2,110 4,029 0 0 27 30 New Hampshire 1,268 2,208 -42.6% 1,268 2,208 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0

122

SAS Output  

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

9. Revenue from Retail Sales of Electricity to Ultimate Customers by End-Use Sector, 9. Revenue from Retail Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Million Dollars) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 7,418 7,546 6,137 6,441 3,292 3,504 38 45 16,885 17,536 Connecticut 2,213 2,339 1,901 2,038 452 486 19 19 4,584 4,882 Maine 657 674 467 494 242 268 0 0 1,366 1,436 Massachusetts 3,029 3,003 2,453 2,547 2,127 2,270 17 22 7,627 7,842 New Hampshire 713 736 598 629 231 238 0 0 1,543 1,602 Rhode Island 450 449 432 453 99 103 2 4 982 1,008 Vermont 356 346 285 281 142 139 0 0 784 766

123

SAS Output  

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

7. Average Retail Price of Electricity to Ultimate Customers: 7. Average Retail Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2012 (Cents per Kilowatthour) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2003 8.72 8.03 5.11 7.54 7.44 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 9.54 8.90 2007 10.65 9.65 6.39 9.70 9.13 2008 11.26 10.36 6.83 10.74 9.74 2009 11.51 10.17 6.81 10.65 9.82 2010 11.54 10.19 6.77 10.57 9.83 2011 11.72 10.23 6.82 10.46 9.90 2012 11.88 10.09 6.67 10.21 9.84 2010 January 10.49 9.55 6.50 10.17 9.28 February 10.89 9.89 6.55 10.48 9.47 March 11.11 9.95 6.53 10.28 9.48 April 11.71 9.95 6.55 10.52 9.53 May 11.91 10.15 6.64 10.52 9.72

124

Industry  

SciTech Connect (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

125

Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial 8,870,422 44.3% Commercial 3,158,244 15.8% Electric Utilities 2,732,496 13.7% Residential 5,241,414 26.2% Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." T e x a s L o u i s i a n a C a l i f o r n i a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Industrial Billion Cubic Meters T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Electric Utilities Billion Cubic Meters N e w Y o r k C a l i f o r n i a I l l i n o i s A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Commercial Billion Cubic Meters I l l i n o i s C a l i f o r n i a N e w Y o r k A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Residential Billion Cubic Meters 11. Natural Gas Delivered to Consumers in the United States, 1996 Figure Volumes in Million Cubic Feet Energy Information Administration

126

EMEF DMC EFS-95-004 GDP TURNOVER CONTINGENCY PLANNING POWER CONTRACTIN...  

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

111111111111111111111111 EMEF DMC EFS-95-004 GDP TURNOVER CONTINGENCY PLANNING POWER CONTRACTING OPTIONS This document is approved f()i puolic release per review by: er "-...

127

MECHANICAL PROPERTIES OF THIN GDP SHELLS USED AS CRYOGENIC DIRECT DRIVE TARGETS AT OMEGA  

SciTech Connect (OSTI)

OAK-B135 Thin glow discharge polymer (GDP) shells are currently used as the targets for cryogenic direct drive laser fusion experiments. These shells need to be filled with nearly 1000 atm of D{sub 2} and cooled to cryogenic temperatures without failing due to buckling and bursting pressures they experience in this process. Therefore, the mechanical and permeation properties of these shells are of utmost importance in successful and rapid filling with D{sub 2}. In this paper, they present an overview of buckle and burst pressures of several different types of GDP shells. These include those made using traditional GDP deposition parameters (standard GDP) using a high deposition pressure and using modified parameters (strong GDP) of low deposition pressure that leads to more robust shells.

NIKROO,A; CZECHOWICZ,D; CHEN,K.C; DICKEN,M; MORRIS,C; ANDREWS,R; GREENWOOD,A.L; CASTILLO,E

2003-06-01T23:59:59.000Z

128

Modeling of energy utilization of tourism industry to predict the future energy demand to showcase Sri Lanka - The Miracle of Asia.  

E-Print Network [OSTI]

?? Tourism industry in Sri Lanka shares a substantial amount of GDP (Gross Domestic Product) and predicts an immense expansion within a short time frame. (more)

Amarawardhana, Kumudu Nanditilaka

2014-01-01T23:59:59.000Z

129

Determinants of energy intensity in industrialized countries : a comparison of China and India  

E-Print Network [OSTI]

The amount of final energy per unit of economic output (usually in terms of gross domestic product, or GDP), known as energy intensity, is often used to measure the effectiveness of energy use and the consumption patterns ...

Huang, Feiya

2006-01-01T23:59:59.000Z

130

Industry urged to boost investment in R&D  

Science Journals Connector (OSTI)

Industry urged to boost investment in R&a ... And the private sector's investment in R&D should increase to 2.0% of GDP from its current level of 1.6%. ...

LINDA RABER

1995-07-31T23:59:59.000Z

131

EMEF DMC EFS-95-003 GDP TuRNOVER CONTINGENCY PLANNING POWER CONTRACT...  

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

5 11111111 EMEF DMC EFS-95-003 GDP TuRNOVER CONTINGENCY PLANNING POWER CONTRACT TERMINATION PROVISIONS AND CONSEQUENCES I JULY 1995 B. J. Kirby Power Systems Technology Program...

132

Causal relationship between energy consumption and GDP in Tunisia: aggregated and disaggregated analysis  

Science Journals Connector (OSTI)

This study investigates the causality between energy consumption and GDP in Tunisia for the 1980 to 2009 period at both aggregated and disaggregated levels as oil, natural gas, and electricity. To determine the Granger causality in the presence of cointegration between variables, a vector error correction model (VECM) is used instead of an autoregressive model (VAR). In the short-run, the neutrality hypothesis is supported between total energy consumption and GDP. This is also true between GDP and oil consumption in one hand and the gas consumption in other hand. Whereas a unidirectional is detected from electricity to the GDP is found (growth hypothesis). In the long-run, total energy consumption, in aggregate and disaggregated forms (gas and electricity) causes GDP (growth hypothesis). For against GDP causes oil consumption (conservation hypothesis). Consequently, the policy makers in Tunisia should place priority an increased commitment to aggregated and disaggregated energy consumption will stabilise the country's inefficient spending and allow it to have a stable income stream in the short-term to raise capital for its long-term investments.

Mehdi Abid; Rafaa Mraihi

2014-01-01T23:59:59.000Z

133

Energy-GDP decoupling in a second best world -A case study on India Cline Guivarcha,*  

E-Print Network [OSTI]

too optimistic views on spontaneous energy-GDP decoupling of emerging countries economies projections from MERGE for China with recent trends, the World Energy Outlook 2007 (IEA, 2007 the specificities of the developing countries' energy systems. In particular, it appears that most models neglect

Boyer, Edmond

134

GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning  

E-Print Network [OSTI]

AGO HGO HFO RG LPG R95 R100 RG LPG CN CGO RG Refinery Operation and Management - J.P. Favennec Crude1 GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning (Performance Analysis. Grossmann #12;2 Motivation · Refinery planning is an active area in process systems that strongly relies

Grossmann, Ignacio E.

135

GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning  

E-Print Network [OSTI]

RG LPG R95 R100 RG LPG CN CGO RG Refinery Operation and Management - J.P. Favennec Crude Distillation1 GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning Department of Chemical · Refinery planning is an active area in process systems that strongly relies on the accuracy of the CDU

Grossmann, Ignacio E.

136

Investigating the impact of nuclear energy consumption on GDP growth and CO2 emission: A panel data analysis  

Science Journals Connector (OSTI)

Abstract This study investigates the influence of nuclear energy consumption on GDP growth and CO2 emission in 30 major nuclear energy consuming countries. The panel mode was used taking the period 19902010. The results of the study indicated that nuclear energy consumption has a positive long run effect on GDP growth while it has no long run effect on CO2 emission. The Granger causality test results also revealed that nuclear energy consumption has a positive short run causal relationship with GDP growth while it has a negative short run causal relationship with CO2 emission. Based on the results of this study, nuclear energy consumption has an important role in increasing GDP growth in the investigated countries with no effect on CO2 emission. Consequently, unlike fossil fuels which also increase GDP growth, nuclear energy consumption causes less damage to the environment. From the results of the study, a number of recommendations were provided for the investigated countries.

Usama Al-mulali

2014-01-01T23:59:59.000Z

137

Current Directions in Freight and Logistics Industry  

E-Print Network [OSTI]

Current Directions in Freight and Logistics Industry CTS Freight and Logistics Symposium November- the-box #12;Perspective Be sure to look-up from time-to-time #12;Why Discuss Freight and Logistics....Large Part of the Economy Logistics Cost As A Percent of GDP ­ 10% Source: CSCMP State of Logistics 2007 #12

Minnesota, University of

138

Industry Alliance Industry Alliance  

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

Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century October, 2010...

139

China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential  

E-Print Network [OSTI]

reduction in energy consumption per unit of GDP from 2006 toEnergy Technologies Division Lawrence Berkeley National Laboratory Abstract Achieving Chinas goal of reducing its carbon intensity (CO 2 per unit of GDP)

Zheng, Nina

2013-01-01T23:59:59.000Z

140

Petrochemical industry drivers  

SciTech Connect (OSTI)

Extensive analyses of profit-ability and pricing over the years have shown that the trends seen in the petrochemical industry have two dominant drivers, namely, industry experience curves (reflecting continuous process improvement and cost savings) and profitability cycles. Any outlook for the future must examine both of these facets. The author`s algorithm for price projections has two primary terms: a cost-related one and a supply/demand-related one. Both are strong functions of experience curves; the latter is also a prime function of cyclicality. At SRI International. To arrive at medium-term quantitative projections, SRI typically creates a consistent base-case scenario that more or less mirrors the past but also incorporates observed directional changes. In this article the author examines in detail how these scenarios are used for projection. He describes experience curves, ethylene/gross domestic product (GDP) penetration levels, industry structure, and cyclicality as they apply to ethylene prices.

Sedriks, W.

1995-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Industrial ecocycles: rate adjustments and dematerialization  

Science Journals Connector (OSTI)

...TPES (Mtce) GDP (1985 bil. US$) Figure 3. GDP and total primary energy supply (TPES...structure of final demand, increases in the...with the annual GDP. For example...5000 10 000 15 000 per capita GDP ($ in 1980...

1997-01-01T23:59:59.000Z

142

The Gas Industry  

Science Journals Connector (OSTI)

... the total output of towns' gas in Great Britain, distributes annually approximately as much energy as the whole of the electrical undertakings in the country. The industry has reason ... any actual thermal process, and the operations of the gas industry are not outside the ambit of the second law of thermodynamics, high though the efficiency of the carbonising process ...

J. S. G. THOMAS

1924-04-26T23:59:59.000Z

143

Japan's Rayon Industry  

Science Journals Connector (OSTI)

THE RAYON INDUSTRY of Japan has constantly expanded for the past eight years at a pace which has surpassed the development of all the other manufacturing industries of the Empire. At the end of 1926, the combined total output of rayon companies in this ...

KEHTI SISIDO

1934-08-10T23:59:59.000Z

144

Reliable Gas Turbine Output: Attaining Temperature Independent Performance  

E-Print Network [OSTI]

of availability, it is the major option for future power generation. One inherent disadvantage of gas turbines is the degradation of output as the ambient air temperature increases. This reduction in output during times of peak load create a reliability..., power generation for offshore platforms, utility peak load 58 ESL-IE-92-04-10 Proceedings from the 14th National Industrial Energy Technology Conference, Houston, TX, April 22-23, 1992 power generation, emergency power, ship propulsion, and private...

Neeley, J. E.; Patton, S.; Holder, F.

145

Enhanced performance CCD output amplifier  

DOE Patents [OSTI]

A low-noise FET amplifier is connected to amplify output charge from a che coupled device (CCD). The FET has its gate connected to the CCD in common source configuration for receiving the output charge signal from the CCD and output an intermediate signal at a drain of the FET. An intermediate amplifier is connected to the drain of the FET for receiving the intermediate signal and outputting a low-noise signal functionally related to the output charge signal from the CCD. The amplifier is preferably connected as a virtual ground to the FET drain. The inherent shunt capacitance of the FET is selected to be at least equal to the sum of the remaining capacitances.

Dunham, Mark E. (Los Alamos, NM); Morley, David W. (Santa Fe, NM)

1996-01-01T23:59:59.000Z

146

Requiem for the unit root in per capita real GDP? Additional evidence from historical data  

Science Journals Connector (OSTI)

We present new evidence on the uncertain nature of nonstationarity that is, trend stationarity vs. difference stationarity of aggregate per capita real output, by submitting to a composite testing procedure a...

Edoardo Gaffeo; Marco Gallegati; Mauro Gallegati

2005-05-01T23:59:59.000Z

147

The Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 to 1996  

E-Print Network [OSTI]

that structural breaks may be important. Since the economy depends heavily on oil revenue, oil price shocks haveThe Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 and the price level in the Venezuelan economy. We apply time-series econometric techniques to annual data

Ahmad, Sajjad

148

Interactions between Rho \\{GTPases\\} and Rho GDP dissociation inhibitor (Rho-GDI)  

Science Journals Connector (OSTI)

The Rho-GDP dissociation inhibitor (Rho-GDI) was used as bait in a two-hybrid screen of a human leucocyte cDNA library. Most of the isolated cDNAs encoded \\{GTPases\\} of the Rho subfamily: RhoA, B, C, Rac1, 2, CDC42 and RhoG. The newly discovered RhoH interacted very poorly with Rho-GDI. Another protein partner shared a homology with RhoA that points to Asp67RhoA-Arg68RhoA-Leu69RhoA as critical for interaction with Rho-GDI. A second screen with RhoA as bait led to the isolation of GDI only. In order to investigate the relative role of protein-protein and protein-lipid interactions between Rho \\{GTPases\\} and Rho-GDI, CAAX box mutants of RhoA were produced. They were found to interact with Rho-GDI as efficiently as wild type RhoA, indicating that protein-protein interactions alone lead to strong binding of the two proteins. The C-terminal polybasic region of RhoA was also shown to be a site of protein-protein interaction with Rho-GDI.

Julien Faur; Marie-Claire Dagher

2001-01-01T23:59:59.000Z

149

Helix Dipole Movement and Conformational Variability Contribute to Allosteric GDP Release in G[alpha] Subunits  

SciTech Connect (OSTI)

Heterotrimeric G proteins (Galphabetagamma) transmit signals from activated G protein-coupled receptors (GPCRs) to downstream effectors through a guanine nucleotide signaling cycle. Numerous studies indicate that the carboxy-terminal alpha5 helix of Galpha subunits participates in Galpha-receptor binding, and previous EPR studies suggest this receptor-mediated interaction induces a rotation and translation of the alpha5 helix of the Galpha subunit [Oldham, W. M., et al. (2006) Nat. Struct. Mol. Biol. 13, 772-777]. On the basis of this result, an engineered disulfide bond was designed to constrain the alpha5 helix of Galpha(i1) into its EPR-measured receptor-associated conformation through the introduction of cysteines at position 56 in the alpha1 helix and position 333 in the alpha5 helix (I56C/Q333C Galpha(i1)). A functional mimetic of the EPR-measured alpha5 helix dipole movement upon receptor association was additionally created by introduction of a positive charge at the amino terminus of this helix, D328R Galpha(i1). Both proteins exhibit a dramatically elevated level of basal nucleotide exchange. The 2.9 A resolution crystal structure of I56C/Q333C Galpha(i1) in complex with GDP-AlF(4)(-) reveals the shift of the alpha5 helix toward the guanine nucleotide binding site that is anticipated by EPR measurements. The structure of the I56C/Q333C Galpha(i1) subunit further revealed altered positions for the switch regions and throughout the Galpha(i1) subunit, accompanied by significantly elevated crystallographic temperature factors. Combined with previous evidence in the literature, the structural analysis supports the critical role of electrostatics of the alpha5 helix dipole and overall conformational variability during nucleotide release.

Preininger, Anita M.; Funk, Michael A.; Oldham, William M.; Meier, Scott M.; Johnston, Christopher A.; Adhikary, Suraj; Kimple, Adam J.; Siderovski, David P.; Hamm, Heidi E.; Iverson, Tina M.; (Vanderbilt); (UNC)

2009-06-01T23:59:59.000Z

150

China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential  

E-Print Network [OSTI]

goal of reducing its carbon intensity (CO 2 per unit of GDP)to achieve the 2020 carbon intensity reduction target. Thecommitted to reduce its carbon intensity (CO 2 per unit of

Zheng, Nina

2013-01-01T23:59:59.000Z

151

Nitric Oxide and Oxygen Radical Attack on GDP-Dissociation Inhibitor 2 (GDI-2) in Spinal Cord Injury of the Rat  

Science Journals Connector (OSTI)

Nitric Oxide and Oxygen Radical Attack on GDP-Dissociation Inhibitor 2 (GDI-2) in Spinal Cord Injury of the Rat ... Herein, mass spectrometry unambiguously identified GDP-dissociation inhibitor-2 (GDI-2) in SCI with post-translational modifications of 3-aminotyrosine (8 h post-injury) and an acrolein adduct of GDI-2 (72 h post-injury). ... Protein profiling in SCI of the rat revealed that, at 8 h following the traumatic lesion, levels of a signalling protein, GDP-dissociation inhibitor-2 protein (GDI-2) (synonym:? Rab GDP dissociation inhibitor beta), were increased about 3-fold, and we therefore decided to use this potentially important signalling structure to study the presence of oxidation- and nitration-induced PTMs in SCI. ...

Julius Paul Pradeep John; Oliver Pintsov; Alexander Petter-Puchner; Heinz Redl; Arnold Pollak; Wei-Qiang Chen; Gert Lubec

2007-02-22T23:59:59.000Z

152

Multiregional InputOutput Model for the Evaluation of Spanish Water Flows  

Science Journals Connector (OSTI)

Halfway through the first decade of the 21st century water withdrawals in Spain have been slightly less than 40 km3 per year (own estimations from ref 2), being around 60% abstracted by agriculture, 14.5% by the water distribution sector (distributed to industries and households), 16% by the energy and gas sectors, and 4% by industries. ... We also relate these water flows and demands with the regional water availability, in order to offer insights on the Spanish water stress, defined as volume of water consumed/availability per capita. ... Total WF to GDP ratio (SI Table SI2) is on average higher for Spain than for EU and lower than for the RW (the opposite for the last ratios of WF per capita). ...

Ignacio Cazcarro; Rosa Duarte; Julio Snchez Chliz

2013-09-12T23:59:59.000Z

153

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

154

Industrial Engineering Industrial Advisory Board  

E-Print Network [OSTI]

Industrial Engineering Industrial Advisory Board (IAB) #12;PURPOSE: The Texas Tech University - Industrial Engineering Industrial Ad- visory Board (IAB) is an association of professionals with a com- mon goal - promoting and developing the Texas Tech Department of Industrial Engineering and its students

Gelfond, Michael

155

Projected growth effects of the biotechnology industry in Finland: the fourth pillar of the economy?  

Science Journals Connector (OSTI)

This study assesses the impact of the Finnish biotechnology industry on economic growth in Finland. The study employs official data from Statistics Finland and new survey data covering 84 Finnish biotechnology companies. An econometric forecast for the economy-wide growth impact of the biotechnology industry in Finland is presented. In the estimation procedure, this study employs the survey data both in forming growth anticipations within a new emerging industry and assessing inter-industrial growth effects. Applied Monte Carlo simulations predict that the contribution of the biotechnology industry to annual GDP growth in 2002??2006 will be in the range of 0.05??0.09 percentage points per annum with a probability of 90%. These results imply that it will take decades rather than years for the biotechnology industry to become a fourth pillar of the Finnish economy beside the forest industry, the metal products and machinery industry, and the electronics industry.

Raine Hermans; Martti Kulvik

2005-01-01T23:59:59.000Z

156

Industry Sponsored Research | Partnerships | ORNL  

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

Partnering Mechanism Sample Sponsored Research Agreement SBIR-STTR Support Economic Development Industrial Partnerships University Partnerships Events and Conferences Success Stories Video Newsletters Staff Contacts Partnerships Home | Connect with ORNL | For Industry | Partnerships | Sponsored Research SHARE Sponsored Research Fiber Optic Research The Oak Ridge National Laboratory is a United States Department of Energy national laboratory, operated under contract by UT-Battelle, LLC. The laboratory's 1500+ research scientists and engineers conduct a vigorous program of scientific discovery and technology development, and ORNL is eager to engage industry in partnerships to help translate its research output into market impact and support for U.S. competitiveness. Companies wishing to learn about the research being

157

On the use of fuzzy inference techniques in assessment models: part II: industrial applications  

Science Journals Connector (OSTI)

In this paper, we study the applicability of the monotone output property and the output resolution property in fuzzy assessment models to two industrial Failure Mode and Effect Analysis (FMEA) problems. First, t...

Kai Meng Tay; Chee Peng Lim

2008-09-01T23:59:59.000Z

158

Anisotropic Grid Adaptation for Multiple Aerodynamic Outputs  

E-Print Network [OSTI]

Anisotropic gridadaptive strategies are presented for viscous flow simulations in which the accurate prediction of multiple aerodynamic outputs (such as the lift, drag, and moment coefficients) is required from a single ...

Venditti, David A.

159

Industrial Buildings  

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

Industrial Industrial Industrial / Manufacturing Buildings Industrial/manufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey (MECS). See the MECS home page for further information. Commercial buildings found on a manufacturing industrial complex, such as an office building for a manufacturer, are not considered to be commercial if they have the same owner and operator as the industrial complex. However, they would be counted in the CBECS if they were owned and operated independently of the manufacturing industrial complex. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/industrial.html

160

SOLAR ENERGY (conditionally accepted 1/2010) QUANTIFYING PV POWER OUTPUT VARIABILITY  

E-Print Network [OSTI]

SOLAR ENERGY (conditionally accepted 1/2010) QUANTIFYING PV POWER OUTPUT VARIABILITY Thomas E create major problems that will require major mitigation efforts. #12;SOLAR ENERGY (conditionally industry believe it could constrain the penetration of gridconnected PV. The U.S. Department of Energy

Perez, Richard R.

Note: This page contains sample records for the topic "gdp industrial output" 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

Technologies and Policies to Improve Energy Efficiency in Industry  

E-Print Network [OSTI]

reducing energy consumption per unit of GDP by 20% betweena 20% reduction in energy use per unit of GDP by 2010 (Price

Price, Lynn

2008-01-01T23:59:59.000Z

162

Structural Studies of the Nudix GDP-mannose Hydrolase from E. coli Reveals a New Motif for Mannose Recognition  

SciTech Connect (OSTI)

The Nudix hydrolase superfamily, characterized by the presence of the signature sequence GX5EX7REUXEEXGU (where U is I, L, or V), is a well-studied family in which relations have been established between primary sequence and substrate specificity for many members. For example, enzymes that hydrolyze the diphosphate linkage of ADP-ribose are characterized by having a proline 15 amino acids C-terminal of the Nudix signature sequence. GDPMK is a Nudix enzyme that conserves this characteristic proline but uses GDP-mannose as the preferred substrate. By investigating the structure of the GDPMK alone, bound to magnesium, and bound to substrate, the structural basis for this divergent substrate specificity and a new rule was identified by which ADP-ribose pyrophosphatases can be distinguished from purine-DP-mannose pyrophosphatases from primary sequence alone. Kinetic and mutagenesis studies showed that GDPMK hydrolysis does not rely on a single glutamate as the catalytic base. Instead, catalysis is dependent on residues that coordinate the magnesium ions and residues that position the substrate properly for catalysis. GDPMK was thought to play a role in biofilm formation because of its upregulation in response to RcsC signaling; however, GDPMK knockout strains show no defect in their capacity of forming biofilms.

A Boto; W Xu; J Jakoncic; A Pannuri; T Romeo; M Bessman; S Gabelli; L Amzel

2011-12-31T23:59:59.000Z

163

NAO Climatology: ROMS output is saved once every 3 days and written to an output file  

E-Print Network [OSTI]

NAO Climatology: ROMS output is saved once every 3 days and written to an output file every 6 days Output after 30 days in 6th file. The Starting Month = July Example: roms_low_his_levts0570dg.0120.nc.gz : July 3 roms_low_his_levts0570dg.0122.nc.gz : July 6 and July 9 roms_low_his_levts0570dg.0124.nc

Gangopadhyay, Avijit

164

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

165

DOE Industrial Technologies Program Overview of Nanomanufacturing Initiative  

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

Industrial Technologies Program Industrial Technologies Program Overview of Nanomanufacturing Initiative Ron Ott March 26, 2009 Nanotechnology: The purposeful engineering of matter at scales of less than 100 nanometers to achieve size- dependent properties and functions. (Lux Research) Today's Outline * ITP R&D Program * ITP Nanomanufacturing Initiative * Nanomanufacturing Project examples * Questions Industrial Technologies Program (ITP): Mission Improve our nation's energy security, climate, environment, and economic competitiveness by transforming the way U.S. industry uses energy * Consumes more energy than any other sector of the economy (~32 quads) * Responsible for ~1,660 MMTCO 2 /year from energy consumption * Manufacturing makes the highest contribution to U.S. GDP (12%) * Produces nearly 1/4th of world

166

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

Industry Input on Nickel Disposition Strategy Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

167

ENERGY USE AND CONSERVATION IN INDUSTRIALIZED COUNTRIES  

E-Print Network [OSTI]

ratio 2 1 9 6 7 Energy per capita 2 1 7 5 9 GDP per capita 1Energy prices (1owest prices = 1) 1 2 4 5 9 Passenger mi1es per unit GDP

Schipper, L.

2012-01-01T23:59:59.000Z

168

Boosting America's Hydropower Output | Department of Energy  

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

Boosting America's Hydropower Output Boosting America's Hydropower Output Boosting America's Hydropower Output October 9, 2012 - 2:10pm Addthis The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado.

169

PV output smoothing with energy storage.  

SciTech Connect (OSTI)

This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

Ellis, Abraham; Schoenwald, David Alan

2012-03-01T23:59:59.000Z

170

Industry @ ALS  

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

Industry @ ALS Industry @ ALS Industry @ ALS Concrete Industry Benefits from Ancient Romans and the ALS Print Thursday, 17 October 2013 14:24 New insights into the Romans' ingenious concrete harbor structures emerging from ALS beamline research could move the modern concrete industry toward its goal of a reduced carbon footprint. Summary Slide Read more... Moving Industry Forward: Finding the Environmental Opportunity in Biochar Print Thursday, 12 September 2013 08:41 Using ALS Beamlines 10.3.2 and 8.3.2, the Environmental Protection Agency (EPA) is currently investigating how biochar sorbs environmental toxins and which kinds of biochar are the most effective. The possibilities for widespread use have already launched entrepreneurial commercial ventures. Summary Slide

171

Gesture output: eyes-free output using a force feedback touch surface  

Science Journals Connector (OSTI)

We propose using spatial gestures not only for input but also for output. Analogous to gesture input, the proposed gesture output moves the user's finger in a gesture, which the user then recognizes. We use our concept in a mobile scenario where a motion ... Keywords: eyes free, force feedback, gestures, touch

Anne Roudaut; Andreas Rau; Christoph Sterz; Max Plauth; Pedro Lopes; Patrick Baudisch

2013-04-01T23:59:59.000Z

172

Industrial Hygienist  

Broader source: Energy.gov [DOE]

A successful candidate in this position wil l serve as an Industrial Hygienist in the Operations Division, providing technical oversight of the Pacific Northwest National Laboratory contractors...

173

Industrial Users  

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

Industrial Users - Media Publications and Information The Invisible Neutron Threat Neutron-Induced Failures in Semiconductor Devices Nuclear Science Research at the LANSCE-WNR...

174

Industrial Users  

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

on altitude. This large flux allows testing of semiconductor devices at greatly accelerated rates. Industry users are invited to contact Steve Wender, phone:505-667-1344 or...

175

Single Inductor Dual Output Buck Converter  

E-Print Network [OSTI]

of value 3V. The main focus areas are low cross regulation between the outputs and supply of completely independent load current levels while maintaining desired values (1.2V,1.5 V) within well controlled ripple levels. Dynamic hysteresis control is used...

Eachempatti, Haritha

2010-07-14T23:59:59.000Z

176

Bioenergy technology balancing energy output with environmental  

E-Print Network [OSTI]

E2.3 Bioenergy technology ­ balancing energy output with environmental benefitsbenefits John standards #12;Is it right to grow bioenergy? Or How much bioenergy production is right? #12;Historical bioenergy Farmers historically used 25% land for horse feed #12;Energy crops are `solar panels' Solar energy

Levi, Ran

177

Modeling Multi Output Filtering Effects in PCMOS  

E-Print Network [OSTI]

Modeling Multi Output Filtering Effects in PCMOS Anshul Singh*, Arindam Basu, Keck-Voon Ling, Nanyang Technological University (NTU), Singapore *NTU-Rice Institute of Sustainable and Applied Infodynamics (ISAID), NTU, Singapore $School of Computer Engineering, NTU, Singapore §School of ECE, Georgia

Mooney, Vincent

178

Title Slide "The broadband acoustic output of  

E-Print Network [OSTI]

Title Slide "The broadband acoustic output of marine seismic airgun sources" Les Hatton CISM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . #12;Seismic sources ­ marine airguns Introduction Modelling Marine Life Impact Where next Overview #12 Normal speed surface movie of airgun firing Courtesy IO limited #12;Seismic sources ­ marine airguns

Hatton, Les

179

Assignment of the human GDI.D4 gene, a GDP/GTP-exchange regulator to chromosome 12, band 12p12.3  

SciTech Connect (OSTI)

The ras superfamily of small GTP-binding proteins performs a wide spectrum of critical cellular functions. Their biochemical activities are dependent on finely controlled cycles of GDP/GTP exchange. Regulators of this exchange are consequently molecules of pivotal importance, indicated by the increasing evidence for their involvement in oncogenic transformation and human diseases. GDP-dissociation inhibitors (GDIs) inhibit the activation of GTP-binding proteins by inhibiting the exchange of GDPs and GTPs and may therefore function as tumor-suppressors. We have cloned the cDNA for a novel GDI named GDI-D4, characterized by its high level of expression preferentially in hematopoietic cells. By fluorescence in situ hybridization, we have now localized the human gene to chromosome 12p12.3, a region deleted in a high frequency of acute myeloid and lymphoid leukemia.

Adra, C.N.; Lim, B. [Harvard Medical School, Boston, MA (United States); Kobayashi, H. [Univ. of Chicago, IL (United States)] [and others

1994-09-01T23:59:59.000Z

180

Industrial microbiology  

Science Journals Connector (OSTI)

...include the fruit, wine, baking, milling, dairy, and distill-ing industries...fructose known as high fruc-tose corn syrup. Between 500,000 and 1...glucose isomerase has permitted the corn wet milling industry to capture 30 percent of...

AL Demain

1981-11-27T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Energy Efficiency Opportunities in the Stone and Asphalt Industry  

E-Print Network [OSTI]

Industries of the Future (DOE-IOF) initiative. In addition to being highly energy intensive, stone crushing currently produces 42% of the total material consumed by weight in the US, which is mainly used as highway aggregates. Based on GDP growth... Symon4-1/2 HP300 061 150 220 270 100 0.50 0.63 270 161 150 220 100% 100% 3/4 proc 220 150 427 703 Daily Energy Consumption Entering Screenhouse 1501 Run Hours per Day 15.5 Daily Production Stage kW kWh/dy Product Tons/dy Model Notes Primary 240 3,000 3...

Moray, S.; Throop, N.; Seryak, J.; Schmidt, C.; Fisher, C.; D'Antonio, M.

2006-01-01T23:59:59.000Z

182

The Homopolar Generator as a Pulsed Industrial Power Supply  

E-Print Network [OSTI]

high current, low voltage electrical pulses. The homopolar generator is allowing numerous industrial joining and forming processes to be extended to larger work pieces and higher power output capabilities than were previously possible. The basic...

Weldon, J. M.; Weldon, W. F.

1979-01-01T23:59:59.000Z

183

An examination of the relationship between energy consumption and performance of transportation sector in Malaysia: output multipliers approach  

Science Journals Connector (OSTI)

The objective of the current study is to investigate the energy consumption and the performance of Malaysia's transportation sector. It applied output multiplier approach which is based on input-output model. Three input-output tables of Malaysia covering the 1991, 2000 and 2005 periods were used. The results indicate significant changes in the output multipliers of the transportation sector for the (1991-2005) period. Also, the transportation-to-energy subsector multipliers were found to increase over time. The increasing importance of transportation sector to the development of Malaysian economy resulted in a noticeable increase in the consumption of each energy subsector's output especially 'petrol and coal industries' products. Based on the research findings, several policy implications were suggested for the betterment of both sectors' performance and generally for the improvement of Malaysian economy.

Hussain Ali Bekhet; Azlina Abdullah

2013-01-01T23:59:59.000Z

184

Administrator Ready Reference Guide Customizing an Output Style  

E-Print Network [OSTI]

may be in various sections of the instructions. Some things to look for: - line spacing Preview Utility (Tools, Preview Output Styles) or by simply opening the Output Style Editor (Bibliography, Edit button -- to the right of the output style drop- down). The Output Style Preview Utility

University of Technology, Sydney

185

Generalized Input-Output Inequality Systems  

SciTech Connect (OSTI)

In this paper two types of generalized Leontief input-output inequality systems are introduced. The minimax properties for a class of functions associated with the inequalities are studied. Sufficient and necessary conditions for the inequality systems to have solutions are obtained in terms of the minimax value. Stability analysis for the solution set is provided in terms of upper semi-continuity and hemi-continuity of set-valued maps.

Liu Yingfan [Department of Mathematics, Nanjing University of Post and Telecommunications, Nanjing 210009 (China)], E-mail: yingfanliu@hotmail.com; Zhang Qinghong [Department of Mathematics and Computer Science, Northern Michigan University, Marquette, MI 49855 (United States)], E-mail: qzhang@nmu.edu

2006-09-15T23:59:59.000Z

186

Characterizing detonator output using dynamic witness plates  

SciTech Connect (OSTI)

A sub-microsecond, time-resolved micro-particle-image velocimetry (PIV) system is developed to investigate the output of explosive detonators. Detonator output is directed into a transparent solid that serves as a dynamic witness plate and instantaneous shock and material velocities are measured in a two-dimensional plane cutting through the shock wave as it propagates through the solid. For the case of unloaded initiators (e.g. exploding bridge wires, exploding foil initiators, etc.) the witness plate serves as a surrogate for the explosive material that would normally be detonated. The velocity-field measurements quantify the velocity of the shocked material and visualize the geometry of the shocked region. Furthermore, the time-evolution of the velocity-field can be measured at intervals as small as 10 ns using the PIV system. Current experimental results of unloaded exploding bridge wire output in polydimethylsiloxane (PDMS) witness plates demonstrate 20 MHz velocity-field sampling just 300 ns after initiation of the wire.

Murphy, Michael John [Los Alamos National Laboratory; Adrian, Ronald J [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

187

Industry Perspective  

Broader source: Energy.gov [DOE]

Fuel cell and biogas industries perspectives. Presented by Mike Hicks, Fuel Cell and Hydrogen Energy Association, at the NREL/DOE Biogas and Fuel Cells Workshop held June 11-13, 2012, in Golden, Colorado.

188

GDP-L-fucose: {beta}-D-galactoside 2-{alpha}-Lfucosyltransferases, DNA sequences encoding the same, method for producing the same and a method of genotyping a person  

DOE Patents [OSTI]

The gene encoding GDP-L-fucose: {beta}-D-Galactoside 2-{alpha}-Lfucosyltransferase has been cloned, and a mutation in this gene has been found to be responsible for an individual being a non-secretor. 30 figs.

Lowe, J.B.; Lennon, G.; Rouquier, S.; Giorgi, D.; Kelly, R.J.

1998-09-15T23:59:59.000Z

189

GDP-L-fucose: .beta.-D-galactoside 2-.alpha.-L-fucosyltransferases, DNA sequences encoding the same, method for producing the same and a method of genotyping a person  

DOE Patents [OSTI]

The gene encoding GDP-L-fucose: .beta.-D-Galactoside 2-.alpha.-L-fucosyltransferase has been cloned, and a mutation in this gene has been found to be responsible for an individual being a non-secretor.

Lowe, John B. (3125 Bolgos Cir., Ann Arbor, MI 48105); Lennon, Gregory (8309 Norris Canyon, Castro Valley, CA 94552); Rouquier, Sylvie (5, rue du Cannau, 34000 Montpellier, FR); Giorgi, Dominique (5, rue du Cannau, 34000 Montpellier, FR); Kelly, Robert J. (3164 Concord, Trenton, MI 48183)

1998-01-01T23:59:59.000Z

190

Purification and characterization from rat liver cytosol of a GDP dissociation inhibitor (GDI) for liver 24K G, a ras p21-like GTP-binding protein, with properties similar to those of smg p25A GDI  

Science Journals Connector (OSTI)

Purification and characterization from rat liver cytosol of a GDP dissociation inhibitor (GDI) for liver 24K G, a ras p21-like GTP-binding protein, with properties similar to those of smg p25A GDI ...

Takashi Ueda; Yoshifumi Takeyama; Toshihiko Ohmori; Harumasa Ohyanagi; Yoichi Saitoh; Yoshimi Takai

1991-01-01T23:59:59.000Z

191

Development of a Low-Carbon Indicator System for China  

E-Print Network [OSTI]

final energy per /industrial share of regional GDP (NBSfinal energy use per unit of industrial GDP produced. Evenbuildings, energy use per unit of industrial GDP, and CO 2

Price, Lynn

2012-01-01T23:59:59.000Z

192

Off-set stabilizer for comparator output  

DOE Patents [OSTI]

A stabilized off-set voltage is input as the reference voltage to a comparator. In application to a time-interval meter, the comparator output generates a timing interval which is independent of drift in the initial voltage across the timing capacitor. A precision resistor and operational amplifier charge a capacitor to a voltage which is precisely offset from the initial voltage. The capacitance of the reference capacitor is selected so that substantially no voltage drop is obtained in the reference voltage applied to the comparator during the interval to be measured.

Lunsford, James S. (Los Alamos, NM)

1991-01-01T23:59:59.000Z

193

Industrial Radiology  

Science Journals Connector (OSTI)

... chief application of industrial radiology in Norway is in the examination of pipe welds in hydroelectric plant. H. Vinter (Denmark), director of the Akademiet for de Technische Videns ... and to compare various methods of non-destructive testing. He gave results of tests on turbine disk forgings of austenitic steel which showed satisfactory agreement between radiography, ultrasonic examination and ...

1950-11-18T23:59:59.000Z

194

Application of computer voice input/output  

SciTech Connect (OSTI)

The advent of microprocessors and other large-scale integration (LSI) circuits is making voice input and output for computers and instruments practical; specialized LSI chips for speech processing are appearing on the market. Voice can be used to input data or to issue instrument commands; this allows the operator to engage in other tasks, move about, and to use standard data entry systems. Voice synthesizers can generate audible, easily understood instructions. Using voice characteristics, a control system can verify speaker identity for security purposes. Two simple voice-controlled systems have been designed at Los Alamos for nuclear safeguards applicaations. Each can easily be expanded as time allows. The first system is for instrument control that accepts voice commands and issues audible operator prompts. The second system is for access control. The speaker's voice is used to verify his identity and to actuate external devices.

Ford, W.; Shirk, D.G.

1981-01-01T23:59:59.000Z

195

The R6A-1 peptide binds to switch II of G{alpha}{sub i1} but is not a GDP-dissociation inhibitor  

SciTech Connect (OSTI)

Heterotrimeric G-proteins are molecular switches that convert signals from membrane receptors into changes in intracellular physiology. Recently, several peptides that bind heterotrimeric G-protein {alpha} subunits have been isolated including the novel G{alpha}{sub i1} . GDP binding peptides R6A and KB-752. The R6A peptide and its minimized derivative R6A-1 interact with G{alpha}{sub i1} . GDP. Based on spectroscopic analysis of BODIPYFL-GTP{gamma}S binding to G{alpha}{sub i1}, it has been reported that R6A-1 has guanine nucleotide dissociation inhibitor (GDI) activity against G{alpha}{sub i1} [W.W. Ja, R.W. Roberts, Biochemistry 43 (28) (2004) 9265-9275]. Using radioligand binding, we show that R6A-1 is not a GDI for G{alpha}{sub i1} subunits. Furthermore, we demonstrate that R6A-1 reduces the fluorescence quantum yield of the G{alpha}{sub i1}-BODIPYFL-GTP{gamma}S complex, thus explaining the previously reported GDI activity as a fluorescence artifact. We further show that R6A-1 has significant sequence similarity to the guanine nucleotide exchange factor peptide KB-752 that binds to switch II of G{alpha}{sub i1}. We use competitive binding analysis to show that R6A-1 also binds to switch II of G{alpha} subunits.

Willard, Francis S. [Department of Pharmacology, CB 7365, 1106 Mary Ellen Jones Building, University of North Carolina, Chapel Hill, NC 27599-7365 (United States)]. E-mail: fwillard@med.unc.edu; Siderovski, David P. [Department of Pharmacology, CB 7365, 1106 Mary Ellen Jones Building, University of North Carolina, Chapel Hill, NC 27599-7365 (United States)

2006-01-27T23:59:59.000Z

196

Policy Options for Encouraging Energy Efficiency Best Practices in Shandong Province's Cement Industry  

E-Print Network [OSTI]

and Evaluation of Energy Intensity per GDP Indicators ( ???Statistics on Energy Consumption Per Unit of GDP. 2006,tce/10,000 RMB Energy Consumption per unit of GDP (tonne of

Price, Lynn

2013-01-01T23:59:59.000Z

197

Coordinated Output Regulation of Multiple Heterogeneous Linear Systems  

E-Print Network [OSTI]

, the generalizations of coordination of multiple linear dynamic systems to the cooperative output regulation problemCoordinated Output Regulation of Multiple Heterogeneous Linear Systems Ziyang Meng, Tao Yang, Dimos V. Dimarogonas, and Karl H. Johansson Abstract-- The coordinated output regulation problem

Dimarogonas, Dimos

198

Regulatory Reform to Promote Clean Energy: The Potential of Output-Based Emissions Standards  

SciTech Connect (OSTI)

Barriers to industrial energy-efficient technologies hinder their use. A number of EPA analyses and industrial experts have found that the utilization of input-based emissions standards (measured in parts-per-million or pounds/MMBtu) in the Clean Air Act creates a regulatory barrier to the installation and deployment of technologies that emit fewer criteria pollutants and use energy more efficiently. Changing emission management strategies to an output-based emissions standard (measured in tons of pollutant emitted) is a way to ameliorate some of these barriers. Combined heat and power (CHP) is one of the key technologies that would see increased industrial application if the emissions standards were modified. Many states have made this change since the EPA first approved it in 2000, although direction from the Federal government could speed implementation modifications. To analyze the national impact of accelerated state adoption of output-based standards on CHP technologies, this paper uses detailed National Energy Modeling System (NEMS) and spreadsheet analysis illustrating two phased-in adoption scenarios for output-based emissions standards in the industrial sector. Benefit/cost metrics are calculated from a private and public perspective, and also a social perspective that considers the criteria and carbon air pollution emissions. These scenarios are compared to the reference case of AEO 2010 and are quite favorable, with a social benefit-cost ratio of 16.0 for a five-year phase-in scenario. In addition, the appropriateness of the Federal role, applicability, technology readiness, and administrative feasibility are discussed.

Cox, Matthew [Georgia Institute of Technology] [Georgia Institute of Technology; Brown, Dr. Marilyn Ann [Georgia Institute of Technology] [Georgia Institute of Technology; Jackson, Roderick K [ORNL] [ORNL

2011-01-01T23:59:59.000Z

199

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

of declining energy use per unit GDP. Within this reform-and the energy use in agriculture per unit of GDP (economic

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

200

China's industrial sector in an international context  

SciTech Connect (OSTI)

The industrial sector accounts for 40% of global energy use. In 1995, developing countries used an estimated 48 EJ for industrial production, over one-third of world total industrial primary energy use (Price et al., 1998). Industrial output and energy use in developing countries is dominated by China, India, and Brazil. China alone accounts for about 30 EJ (National Bureau of Statistics, 1999), or about 23% of world industrial energy use. China's industrial sector is extremely energy-intensive and accounted for almost 75% of the country's total energy use in 1997. Industrial energy use in China grew an average of 6.6% per year, from 14 EJ in 1985 to 30 EJ in 1997 (Sinton et al., 1996; National Bureau of Statistics, 1999). This growth is more than three times faster than the average growth that took place in the world during the past two decades. The industrial sector can be divided into light and heavy industry, reflecting the relative energy-intensity of the manufacturing processes. In China, about 80% of the energy used in the industrial sector is consumed by heavy industry. Of this, the largest energy-consuming industries are chemicals, ferrous metals, and building materials (Sinton et al., 1996). This paper presents the results of international comparisons of production levels and energy use in six energy-intensive subsectors: iron and steel, aluminum, cement, petroleum refining, ammonia, and ethylene. The sectoral analysis results indicate that energy requirements to produce a unit of raw material in China are often higher than industrialized countries for most of the products analyzed in this paper, reflecting a significant potential to continue to improve energy efficiency in heavy industry.

Price, Lynn; Worrell, Ernst; Martin, Nathan; Lehman, Bryan; Sinton, Jonathan

2000-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Output power characteristics and performance of TOPAZ II Thermionic Fuel Element No. 24  

SciTech Connect (OSTI)

A final report on the output power characteristics and capabilities of single cell TOPAZ II Thermionic Fuel Element (TFE) No. 24 is presented. Thermal power tests were conducted for over 3000 hours to investigate converter performance under normal and adverse operating conditions. Experiments conducted include low power testing, high power testing, air introduction to the interelectrode gap, collector temperature optimization, thermal modeling, and output power characteristic measurements. During testing, no unexpected degradation in converter performance was observed. The TFE has been removed from the test stand and returned to Scientific Industrial Association {open_quote}{open_quote}LUCH{close_quote}{close_quote} for materials analysis and report. This research was conducted at the Thermionic System Evaluation Test (TSET) Facility at the New Mexico Engineering Research Institute (NMERI) as a part of the Topaz International Program (TIP) by the Air Force Phillips Laboratory (PL). {copyright} {ital 1996 American Institute of Physics.}

Luchau, D.W.; Bruns, D.R. [Team Specialty Services, Inc., TOPAZ International Program, 901 University Blvd., SE, Albuquerque, New Mexico 87106 (United States); Izhvanov, O.; Androsov, V. [JV INERTEK, Scientific Industrial Association ``Luch``, 24 Zheleznodorozhnaya, Podolsk, (Russia) 142100

1996-03-01T23:59:59.000Z

202

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board October 15, 2010 #12;Mechanical & Industrial Engineering 2 MIE Dorothy Adams Undergraduate/Graduate Secretary David Schmidt Associate Professor & Graduate Program Director #12;Mechanical & Industrial Engineering 3 MIE James Rinderle

Mountziaris, T. J.

203

The challenge of reducing energy consumption of the Top-1000 largest industrial enterprises in China  

Science Journals Connector (OSTI)

In 2005, the Chinese government announced an ambitious goal of reducing energy consumption per unit of gross domestic product (GDP) by 20% between 2005 and 2010. One of the key initiatives for realizing this goal is the Top-1000 Energy-Consuming Enterprises program. The energy consumption of these 1000 enterprises accounted for 33% of national and 47% of industrial energy usage in 2004. Under the Top-1000 program, 2010 energy consumption targets were determined for each enterprise. The objective of this article is to evaluate the program design and initial results, given limited information and data, to understand the possible implications of its success in terms of energy and carbon dioxide emission reductions and to recommend future program modifications based on international experience with similar target-setting agreement programs. Even though the Top-1000 program was designed and implemented rapidly, it appears that depending upon the GDP growth rate it could contribute to somewhere between approximately 10% and 25% of the savings required to support China's efforts to meet a 20% reduction in energy use per unit of GDP by 2010.

Lynn Price; Xuejun Wang; Jiang Yun

2010-01-01T23:59:59.000Z

204

Industry Perspective  

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

idatech.com idatech.com info@idatech.com 63065 NE 18 th Street Bend, OR 97701 541.383.3390 Industry Perspective Biogas and Fuel Cell Workshop National Renewable Energy Laboratory June 11 - 13, 2012 Mike Hicks Chairman of the Board of Directors, FCHEA Treasurer of the Board of Directors, FCS&E Engineering Manager, Technology Development & Integration, IdaTech Outline 1. Critical Factors * Fuel Purity * Fuel Cost 2. Natural Gas - The Wild Card & Competition 3. IdaTech's Experience Implementing Biofuel Critical Factor - Fuel Purity All fuel cell system OEMs have fuel purity specifications * Independent of * Raw materials or feed stocks * Manufacturing process * Depends on * Fuel processor technology * Fuel cell technology - low temp PEM versus SOFC

205

Compact waveguide power divider with multiple isolated outputs  

DOE Patents [OSTI]

A waveguide power divider (10) for splitting electromagnetic microwave power and directionally coupling the divided power includes an input waveguide (21) and reduced height output waveguides (23) interconnected by axial slots (22) and matched loads (25) and (26) positioned at the unused ends of input and output guides (21) and (23) respectively. The axial slots are of a length such that the wave in the input waveguide (21) is directionally coupled to the output waveguides (23). The widths of input guide (21) and output guides (23) are equal and the width of axial slots (22) is one half of the width of the input guide (21).

Moeller, Charles P. (Del Mar, CA)

1987-01-01T23:59:59.000Z

206

Engineering Industrial & Systems  

E-Print Network [OSTI]

Industrial Engineering Department of Industrial & Systems Engineering Leslie Monplaisir, Ph powerful tool sets used in industry today. -Brent Gillett, BSIE 2007 Advanced Planning Engineer at BMW I is available at: http://ise.wayne.edu/bs-industrial/index What is Industrial Engineering? The industrial

Berdichevsky, Victor

207

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. Industrial engineers design and run the factories and systems

208

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. The focus of industrial engineering is on process improvement

209

GAMS program used to estimate capacity output using a distance function with both good and bad output, variable returns to scale and weak disposability of the bad outputs.  

E-Print Network [OSTI]

." VIMS Marine resource Report N. 2007-6. August 2007. Author: John B. Walden NMFS/NEFSC 166 Water St(obs) weights ; POSITIVE Variable weight, lambda; EQUATIONS CONSTR1(GOUTPUT, OBS) DEA constraint for each output

210

Economic Forces Driving Agriculture and the Seed Industry  

E-Print Network [OSTI]

, 1980-2012 with projections until 2030 #12;World map weighted by GDP in 1960 #12;Real Gross Domestic;Population and real per capita GDP in `000 2005 dollars, 2012 and 2030 projections (US per capita income in 2050 Total population (est.) = 9.07 billion 11 #12;U.S. and world real per capita GDP in 2005 dollars

California at Davis, University of

211

Analysis of photovoltaic module energy output under operating conditions in South Africa  

SciTech Connect (OSTI)

South Africa does not have any industry standard methodology to evaluate photovoltaic (PV) modules for energy production. The aim of this study is to characterize the energy production of PV modules deployed outdoors at the University of Port Elizabeth (UPE), Summerstrand, South Africa with the view of facilitating such a standard. The system developed for this study was designed to monitor the energy production of seven PV modules under normal operating conditions. An analysis of energy production of three of the PV modules under test, while operating under prevailing outdoor conditions, is given. Measured energy output is also compared with that predicted using an energy model.

Dyk, E.E. van; Meyer, E.L.; Scott, B.J.; O`Connor, D.A.; Wessels, J.B. [Univ. of Port Elizabeth (South Africa). Dept. of Physics

1997-12-31T23:59:59.000Z

212

Constellation Shaping for Communication Channels with Quantized Outputs  

E-Print Network [OSTI]

average energy are selected more frequently than constellations with higher energy. However, the resultsConstellation Shaping for Communication Channels with Quantized Outputs Chandana Nannapaneni signal constellation and the output is quantized by a uniform scalar quantizer. The goal is to jointly

Valenti, Matthew C.

213

ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO  

E-Print Network [OSTI]

ADIOS ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO NATIONAL RADIO ASTRONOMY OBSERVATORY TABLES ADIOS - ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE COMPUTER TABLE FOR CONTENTS Page I Module and Apple Card (Photograph) Figure 3 Complete Apple/ADIOS System (Photograph) Figure 4 Analog

Groppi, Christopher

214

The National Energy Modeling System: An Overview 2000 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrial energy demand is projected as a combination of “bottom up” characterizations of the energy-using technology and “top down” econometric estimates of behavior. The influence of energy prices on industrial energy consumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based “technology possibility curves.” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

215

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network [OSTI]

Daily, 2007. Energy consumption per unit GDP down 1.23%increase in energy use per unit of GDP after 2002 following2006, the energy consumption per unit of GDP declined 1.23%

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

216

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network [OSTI]

reducing energy consumption per unit of GDP by 20% between20% reduction in energy use per unit of GDP by 2010. China'sincrease in energy use per unit of GDP after 2002 following

Price, Lynn

2008-01-01T23:59:59.000Z

217

Most efficient quantum thermoelectric at finite power output  

E-Print Network [OSTI]

Machines are only Carnot efficient if they are reversible, but then their power output is vanishingly small. Here we ask, what is the maximum efficiency of an irreversible device with finite power output? We use a nonlinear scattering theory to answer this question for thermoelectric quantum systems; heat engines or refrigerators consisting of nanostructures or molecules that exhibit a Peltier effect. We find that quantum mechanics places an upper bound on both power output, and on the efficiency at any finite power. The upper bound on efficiency equals Carnot efficiency at zero power output, but decays with increasing power output. It is intrinsically quantum (wavelength dependent), unlike Carnot efficiency. This maximum efficiency occurs when the system lets through all particles in a certain energy window, but none at other energies. A physical implementation of this is discussed, as is the suppression of efficiency by a phonon heat flow.

Robert S. Whitney

2014-03-13T23:59:59.000Z

218

GEO Down Under The Ground Source Industry in Australia and New Zealand  

E-Print Network [OSTI]

: 22.2 million § GDP: $987 billion § Per capita GDP: $43 300 per capita § Popula8on: 4.4 million § GDP: $134 billion § Per capita GDP: $30 200 rocks and energy genera8on to most § North side of house has greatest solar

219

The impact of peak oil on tourism in Spain: An inputoutput analysis of price, demand and economy-wide effects  

Science Journals Connector (OSTI)

This article examines the potential effects of peak oil on Spanish tourism and indirectly on the rest of the economy. We construct several scenarios of price increases in oil, related fossil fuels and their inflationary effects. These scenarios provide the context for an inputoutput (I/O) analysis which uses I/O tables extended with Tourism Satellite Accounts. The analysis comprises three steps: (1) applying an I/O price model to estimate the price change of tourism services in Spain due to an increase in the prices of oil and other fossil fuels; (2) assessing the effects of price changes on demand for tourism services; and (3) estimating the impacts of demand change on the country's economy using an I/O demand model. The results show that a decreased demand for tourism services results in the greatest fall in outputs in the tourism-related shares of air, water, land and railway transport sectors. These are followed by tourism agencies' activities, non-market recreational, cultural and sporting activities, restaurants, and hotels. Depending on the oil price scenario adopted, GDP (Gross domestic product) decreases between?0.08% and?0.38% and the number of jobs lost through direct and indirect effects varies between approximately 20,000 and 100,000.

Ivana Logar; Jeroen C.J.M. van den Bergh

2013-01-01T23:59:59.000Z

220

Relationship Among Efficiency and Output Power of Heat Energy Converters  

E-Print Network [OSTI]

Relationship among efficiency and output power of heat-electric energy converters as well as of any converters for transforming of heat energy into any other kind of energy is considered. It is shown, that the parameter efficiency does not determine univocally the output power of a converter. It is proposed to use another parameter for determination of working ability of heat energy converters. It is shown, that high output power can not be achieved by any kind of Stirling-type converters in spite of their high efficiency.

Alexander Luchinskiy

2004-09-02T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Structure of a GDP:AlF4 Complex of the SRP \\{GTPases\\} Ffh and FtsY, and Identification of a Peripheral Nucleotide Interaction Site  

Science Journals Connector (OSTI)

The signal recognition particle (SRP) \\{GTPases\\} Ffh and FtsY play a central role in co-translational targeting of proteins, assembling in a GTP-dependent manner to generate the SRP targeting complex at the membrane. A suite of residues in FtsY have been identified that are essential for the hydrolysis of GTP that accompanies disengagement. We have argued previously on structural grounds that this region mediates interactions that serve to activate the complex for disengagement and term it the activation region. We report here the structure of a complex of the SRP \\{GTPases\\} formed in the presence of GDP:AlF4. This complex accommodates the putative transition-state analog without undergoing significant change from the structure of the ground-state complex formed in the presence of the GTP analog GMPPCP. However, small shifts that do occur within the shared catalytic chamber may be functionally important. Remarkably, an external nucleotide interaction site was identified at the activation region, revealed by an unexpected contaminating GMP molecule bound adjacent to the catalytic chamber. This site exhibits conserved sequence and structural features that suggest a direct interaction with RNA plays a role in regulating the activity of the SRP targeting complex.

Pamela J. Focia; Joseph Gawronski-Salerno; John S. Coon V; Douglas M. Freymann

2006-01-01T23:59:59.000Z

222

and Industrial Engineering  

E-Print Network [OSTI]

45 Mechanical and Industrial Engineering 220 Engineering Lab Degrees: Bachelor of Science in Mechanical Engineering Bachelor of Science in Industrial Engineering Contact: James R. Rinderle to prosthetic limbs to windmills, and their myriad components. Industrial engineers are concerned

Mountziaris, T. J.

223

Industrial and Systems engineering  

E-Print Network [OSTI]

Industrial and Systems engineering COLLEGE of ENGINEERING DepartmentofIndustrialandSystemsEngineering EDGE Engineering Entrepreneur Certificate Program is a great addition to an industrial and systems to expert clinical recommendations. engineering.wayne.edu/isefaculty Industrial and systems engineering

Berdichevsky, Victor

224

Commentary on industrial processes  

Science Journals Connector (OSTI)

...crucial for an industrial process, namely: catalyst activity...of catalysis to industrial processes. The papers, however, do...at the heart of successful commercialization of catalytic science and technology...addressed in any industrial process, namely: activity-the...

2005-01-01T23:59:59.000Z

225

Uranium industry annual 1997  

SciTech Connect (OSTI)

This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

NONE

1998-04-01T23:59:59.000Z

226

Sparse Convolved Gaussian Processes for Multi-output Regression  

E-Print Network [OSTI]

the concentration of different heavy metal pollutants [5]. Modelling multiple output variables is a challenge as we methodology for synthetic data and real world applications on pollution prediction and a sensor network. 1

Rattray, Magnus

227

Computability in Anonymous Networks: Revocable vs. Irrecovable Outputs  

E-Print Network [OSTI]

Computability in Anonymous Networks: Revocable vs. Irrecovable Outputs Yuval Emek1 , Jochen Seidel2, and leader election. 1 Introduction We study computability in networks, referred to hereafter as distributed

228

Failure mode and effects analysis outputs: are they valid?  

Science Journals Connector (OSTI)

Failure Mode and Effects Analysis (FMEA) is a prospective risk assessment tool that ... this study was to explore the validity of FMEA outputs within a hospital setting in the...

Nada Atef Shebl; Bryony Dean Franklin; Nick Barber

2012-06-01T23:59:59.000Z

229

Grid adaptation for functional outputs of compressible flow simulations  

E-Print Network [OSTI]

An error correction and grid adaptive method is presented for improving the accuracy of functional outputs of compressible flow simulations. The procedure is based on an adjoint formulation in which the estimated error in ...

Venditti, David Anthony, 1973-

2002-01-01T23:59:59.000Z

230

Community Climate System Model (CCSM) Experiments and Output Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.

231

Uranium industry annual 1993  

SciTech Connect (OSTI)

Uranium production in the United States has declined dramatically from a peak of 43.7 million pounds U{sub 3}O{sub 8} (16.8 thousand metric tons uranium (U)) in 1980 to 3.1 million pounds U{sub 3}O{sub 8} (1.2 thousand metric tons U) in 1993. This decline is attributed to the world uranium market experiencing oversupply and intense competition. Large inventories of uranium accumulated when optimistic forecasts for growth in nuclear power generation were not realized. The other factor which is affecting U.S. uranium production is that some other countries, notably Australia and Canada, possess higher quality uranium reserves that can be mined at lower costs than those of the United States. Realizing its competitive advantage, Canada was the world`s largest producer in 1993 with an output of 23.9 million pounds U{sub 3}O{sub 8} (9.2 thousand metric tons U). The U.S. uranium industry, responding to over a decade of declining market prices, has downsized and adopted less costly and more efficient production methods. The main result has been a suspension of production from conventional mines and mills. Since mid-1992, only nonconventional production facilities, chiefly in situ leach (ISL) mining and byproduct recovery, have operated in the United States. In contrast, nonconventional sources provided only 13 percent of the uranium produced in 1980. ISL mining has developed into the most cost efficient and environmentally acceptable method for producing uranium in the United States. The process, also known as solution mining, differs from conventional mining in that solutions are used to recover uranium from the ground without excavating the ore and generating associated solid waste. This article describes the current ISL Yang technology and its regulatory approval process, and provides an analysis of the factors favoring ISL mining over conventional methods in a declining uranium market.

Not Available

1994-09-01T23:59:59.000Z

232

Chapter 7 - Urban Wastewater Treatment for Recycling and Reuse in Industrial Applications: Indian Scenario  

Science Journals Connector (OSTI)

Abstract Urban wastewater management has become a challenge in many countries because infrastructure development and regulations have not kept pace with population growth and urbanization. This chapter focuses on urban wastewater management and the possible use of treated water for industrial applications in India. The figures on Indias annual urban population are rising and expected to reach about 600 million by 2030, making India more peri-urban than rural. It is realised that Indian industry has not taken a neutral stance on the required quality and quantity of water. The current national water share for Indian industry is only about 8%, which is far lower than in developed countries with respect to higher reuse and recycling applications. However, the water share of Indian industry will be growing along with the growing GDP. According to a recent Industry/Commerce & Government assessment, the water requirement for industrial use will increase from the current 30 billion m3 to-120 billionm3 by 2025. India is already an almost water-stressed country. The huge water demand of industry can be balanced by recycling and reusing urban wastewater, which would also provide an opportunity for the growth of Indian industry should this type of program be adopted. It would be possible to reuse 4050% of secondary sewage for industrial and indirect potable use. If the sustainability of resources was maintained in light of increasing industrial water demand, the present reuse of less than 8% would be increased to 3040% toward the projected water demand of 2030. Industrial water production from secondary sewage of urban and semi-urban areas can increase the water availability to Indian industrial sectors by establishing a joint municipalindustrial collaboration.

R. Saravanane; Vivek V. Ranade; Vinay M. Bhandari; A. Seshagiri Rao

2014-01-01T23:59:59.000Z

233

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

234

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

235

Industrial Ecology Master of Science  

E-Print Network [OSTI]

for the long term future of humanity. If all goes well the urban population will double, GDP per capita will triple, a transition will be made to a low carbon energy system and 9 billion people will live `the good Cycles · Resource Scarcity · Agent Based Modelling of Complex Adaptive Systems · Renewable energy systems

Langendoen, Koen

236

The Implementation of Industry Foundation Classes in Simulation Tools for the Building Industry  

SciTech Connect (OSTI)

Industry Foundation Classes (IFC) provide an environment of interoperability among IFC-compliant software applications in the architecture, engineering, construction, and facilities management (AEC/FM) industry. They allow building simulation software to automatically acquire building geometry and other building data from project models created with IFC compliant CAD software. They also facilitate direct exchange of input and output data with other simulation software. This paper discusses how simulation software can be made compliant with version 1.5 of the IFC. It also describes the immediate plans for expansion of IFC and the process of definition and addition of new classes to the model.

Bazjanac, Vladimir; Crawley, Drury B.

1997-06-01T23:59:59.000Z

237

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS The Master of Science in Industrial Engineering (M Systems and Engineering (M.S.M.S.E.), the Doctor of Philosophy in Industrial Engineering, and the Doctor of Philosophy in Systems and Engineering Management programs prepare competent industrial engineers

Gelfond, Michael

238

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board May 5th, 2011 #12;Mechanical & Industrial Engineering 2 IAB 2010-2011 · David K. Anderson ­ Alden Research Laboratory, Inc went on for three weeks Mechanical & Industrial Engineering 6 #12;Reza Shahbazian Yassar Mechanical

Mountziaris, T. J.

239

Career Map: Industrial Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Industrial Engineer positions.

240

Changing Trends in the Bulk Chemicals and Pulp and Paper Industries (released in AEO2005)  

Reports and Publications (EIA)

Compared with the experience of the 1990s, rising energy prices in recent years have led to questions about expectations of growth in industrial output, particularly in energy-intensive industries. Given the higher price trends, a review of expected growth trends in selected industries was undertaken as part of the production of Annual Energy Outlook 2005 (AEO). In addition, projections for the industrial value of shipments, which were based on the Standard Industrial Classification (SIC) system in AEO2004, are based on the North American Industry Classification System (NAICS) in AEO2005. The change in industrial classification leads to lower historical growth rates for many industrial sectors. The impacts of these two changes are highlighted in this section for two of the largest energy-consuming industries in the U.S. industrial sector-bulk chemicals and pulp and paper.

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Climate VISION: Industry Associations  

Office of Scientific and Technical Information (OSTI)

Industry Associations Industry Associations Aluminum Aluminum Association (Coordinating aluminum industry Climate VISION activities) The Aluminum Association, Inc. is the trade association for producers of primary aluminum, recyclers and semi-fabricated aluminum products, as well as suppliers to the industry. The Association provides leadership to the industry through its programs and services which aim to enhance aluminum's position in a world of proliferating materials, increase its use as the "material of choice," remove impediments to its fullest use, and assist in achieving the industry's environmental, societal, and economic objectives. Automobile Manufacturers Alliance of Automobile Manufacturers (Coordinating automobile industry Climate VISION activities) The Alliance of Automobile Manufacturers, Inc. is a trade association

242

Interpreting and analyzing model output (A very cursory introduction) Here will talk briefly about using "ncview" and "matlab" to analyze output  

E-Print Network [OSTI]

using "ncview" and "matlab" to analyze output from your model. The model output is in netcdf format for the output. I use matlab to measure, plot, compute, etc.. Recall the the model output is stored in: /scratch shown at the top.) matlab I hope you have some experience with matlab. There are handy tutorials

Gerber, Edwin

243

Carbon Capture, Transport and Storage Regulatory Test Exercise: Output  

Open Energy Info (EERE)

Carbon Capture, Transport and Storage Regulatory Test Exercise: Output Carbon Capture, Transport and Storage Regulatory Test Exercise: Output Report Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Carbon Capture, Transport and Storage Regulatory Test Exercise: Output Report Focus Area: Clean Fossil Energy Topics: Market Analysis Website: cdn.globalccsinstitute.com/sites/default/files/publications/7326/carbo Equivalent URI: cleanenergysolutions.org/content/carbon-capture-transport-and-storage- Policies: Regulations Regulations: Emissions Mitigation Scheme The Scottish Government published this report to identify regulatory gaps or overlaps in the nation's framework for regulating carbon capture and storage (CCS). The report aims to streamline and better manage CCS regulation. It focuses on evaluating the risks, barriers, information gaps,

244

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

245

Formalization of computer input and output: the Hadley model  

Science Journals Connector (OSTI)

Current digital evidence acquisition tools are effective, but are tested rather than formally proven correct. We assert that the forensics community will benefit in evidentiary ways and the scientific community will benefit in practical ways by moving beyond simple testing of systems to a formal model. To this end, we present a hierarchical model of peripheral input to and output from von Neumann computers, patterned after the Open Systems Interconnection model of networking. The Hadley model categorizes all components of peripheral input and output in terms of data flow; with constructive aspects concentrated in the data flow between primary memory and the computer sides of peripherals' interfaces. The constructive domain of Hadley is eventually expandable to all areas of the I/O hierarchy, allowing for a full view of peripheral input and output and enhancing the forensics community's capabilities to analyze, obtain, and give evidentiary force to data.

Matthew Gerber; John Leeson

2004-01-01T23:59:59.000Z

246

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

247

An input-output approach to analyze the ways to increase total output of energy sectors: The case of Japan  

Science Journals Connector (OSTI)

The purpose of this study is to analyze the ways to increase total output of Japanese energy sectors in future time. In this study, Input-Output (IO) analysis is employed as a tool of analysis. This study focuses on petroleum refinery products and non-ferrous metals as analyzed sectors. The results show that positive impact observed in export and outside households consumption modifications while opposite impact is given by modification of import. The recommendations suggested based on these results are Japanese government should make breakthroughs so analyzed sector's export activities can increase and they have to careful in conducting import activities related to these sectors.

Ubaidillah Zuhdi

2014-01-01T23:59:59.000Z

248

Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004  

Broader source: Energy.gov [DOE]

Handbook providing practical information to help regulators decide if they want to use output-based regulations and explains how to develop an output-based emission standard

249

Users from Industry  

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

Users from Industry Users from Industry Users from Industry Print The Advanced Light Source (ALS) welcomes industrial users from large and small companies whose projects advance scientific knowledge, investigate the development of new products and manufacturing methods, or provide economic benefits and jobs to the economy. The nature of industrial research can be different from traditional university and government sponsored projects, so the ALS has created unique opportunities for new and existing industrial users to access our user facilities and engage in productive relationships with our scientific and engineering staff. Examples of past and current research conducted at the ALS can be viewed on the Industry @ ALS Web page. There are several modes of access; the ALS User and Scientific Support Groups are especially committed to helping new industrial users gain a foothold in our user community and welcome inquiries about how to make that happen.

250

Industry 4.0  

Science Journals Connector (OSTI)

Industry is the part of an economy that produces material goods which are highly mechanized and automatized. Ever since the beginning of industrialization, technological leaps have led to paradigm shifts which to...

Dr. Heiner Lasi

2014-08-01T23:59:59.000Z

251

Chemistry Industry in Egypt  

Science Journals Connector (OSTI)

Chemistry Industry in Egypt ... FROM antiquity the Egyptian economy has been predominately agricultural. ... Nevertheless, it is most probable that the ancient Egyptians were the world's first practical or industrial chemists. ...

1953-08-10T23:59:59.000Z

252

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY  

E-Print Network [OSTI]

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY SUMMER 2013 Industrial Engineering COOP Student needed-Fri, for summer 2013. Student must be enrolled in BS Engineering program. (Preferably completed 2-3 yrs

Pohl, Karsten

253

Industrial Green | Jefferson Lab  

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

Industrial Green Industrial Green - This giant bag may not look green, but it keeps a potent greenhouse gas from being released into the atmosphere. It's part of a system at the...

254

The Industrial Electrification Program  

E-Print Network [OSTI]

EPRI's role as the research organization of the electric power industry, in coordination with potential user industries, is to 1) define the viability of candidate electrification technologies by monitoring the state-of-the-art and continuously...

Harry, I. L.

1982-01-01T23:59:59.000Z

255

MODELING MULTI-OUTPUT FILTERING EFFECTS IN PCMOS Anshul Singh*  

E-Print Network [OSTI]

MODELING MULTI-OUTPUT FILTERING EFFECTS IN PCMOS Anshul Singh* , Arindam Basu , Keck-Voon Ling* and Vincent J. Mooney III*$§ Email: anshul.singh@research.iiit.ac.in, {arindam.basu, ekvling}@ntu, Nanyang Technological University (NTU), Singapore * NTU-Rice Institute of Sustainable and Applied

Mooney, Vincent

256

Output-Sensitive Algorithms for Tukey Depth and Related Problems  

E-Print Network [OSTI]

Output-Sensitive Algorithms for Tukey Depth and Related Problems David Bremner University of New de Bruxelles Pat Morin Carleton University Abstract The Tukey depth (Tukey 1975) of a point p halfspace that contains p. Algorithms for computing the Tukey depth of a point in various dimensions

Morin, Pat

257

Soft-Input Soft-Output Sphere Decoding Christoph Studer  

E-Print Network [OSTI]

Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft, 8092 Zurich, Switzerland Email: studer@iis.ee.ethz.ch Helmut Bölcskei Communication Technology

258

Maximizing output from oil reservoirs without water breakthrough  

E-Print Network [OSTI]

Maximizing output from oil reservoirs without water breakthrough S.K. Lucas School of Mathematics, revised May 2003, published 45(3), 2004, 401­422 Abstract Often in oil reservoirs a layer of water lies, for example, Muskat [8], Bear [1]). When oil is removed from the reservoir by an oil well, it will generate

Lucas, Stephen

259

Systems and Industry Analyses  

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

systems and industry analyses News Gasifipedia Gasifier Optimization Feed Systems Syngas Processing Systems Analyses Gasification Plant Databases International Activity Program...

260

Geothermal Industry Partnership Opportunities  

Broader source: Energy.gov [DOE]

Here you'll find links to information about partnership opportunities and programs for the geothermal industry.

Note: This page contains sample records for the topic "gdp industrial output" 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

Photovoltaics industry profile  

SciTech Connect (OSTI)

A description of the status of the US photovoltaics industry is given. Principal end-user industries are identified, domestic and foreign market trends are discussed, and industry-organized and US government-organized trade promotion events are listed. Trade associations and trade journals are listed, and a photovoltaic product manufacturers list is included. (WHK)

None

1980-10-01T23:59:59.000Z

262

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering Mario A. Rotea Professor and Department Head #12;2Mechanical & Industrial Engineering Outline · Undergraduate Degree Programs · Graduate Degree Programs · The Faculty · The Research · Summary #12;3Mechanical & Industrial Engineering Undergraduate Programs ­ BSME & BSIE 0 20 40 60

Mountziaris, T. J.

263

INDUSTRIAL AND BIOMEDICAL APPLICATIONS  

E-Print Network [OSTI]

INDUSTRIAL AND BIOMEDICAL APPLICATIONS Frank Smith, Nicholas Ovenden and Richard Purvis University are described, one industrial on violent water-air interaction during an impact process and the other biomedical: industrial, biomedical, impacts, networks, theory, computation, scales. 1. INTRODUCTION It is a pleasure

Purvis, Richard

264

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

Current-Dollar Current-Dollar Gross Domestic Product by State The current-dollar gross domestic product (GDP) data used in the U.S. Energy Information Administration State Energy Data System (SEDS) to calculate total energy consumed per current dollar of output are shown in Tables B1 through B4. The data are the U.S. Department of Commerce, Bureau of Economic Analysis, current-dollar GDP estimates by state. The estimates are released June of each year. For 1970 through 1996, BEA reports current-dollar GDP by state based on the Standard Industrial Classification (SIC). For 1997 forward, the BEA reports current-dollar GDP by state based on the 1997 North Ameri- can Classification System (NAICS). Given this discontinuity in the GDP by states series at 1997, users of these data are strongly cautioned against appending the two data series in an attempt to construct a single time se- ries of GDP by state

265

Industry - ORNL Neutron Sciences  

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

Industry banner Industry banner Neutron scattering research has applications in practically every field, and neutron research at ORNL is leading to productive partnerships with the industrial and business communities. We welcome proposals for all types of research, including those involving proprietary work. Recent studies have led to discoveries with potential applications in fields such as medicine, energy, and various metals technologies. For more information, please see our recent research highlights. Research Collaborations Industry-Driven Research Benefits Plastics Manufacturing Corning uses VULCAN to test limits of ceramic material for car emission controls, filtration devices Neutrons Probe Inner Workings of Batteries Industry and Neutron Science: Working To Make a Match

266

Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

INTERACTING WITH THE PHARMACEUTICAL INDUSTRY Stephen R.to interactions with the pharmaceutical industry! This is ancome from the pharmaceutical industry. It is also reality

Hayden, Stephen R

2003-01-01T23:59:59.000Z

267

Benteler Industries | Open Energy Information  

Open Energy Info (EERE)

Industries Jump to: navigation, search Name: Benteler Industries Place: Grand Rapids, MI Website: http:www.bentelerindustries. References: Benteler Industries1 Information...

268

LANSCE | Lujan Center | Industrial Users  

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

Industrial Users The Lujan Neutron Scattering Center offers a diverse set of capabilities and instruments for industrial projects. Industrial users are invited to contact the Lujan...

269

Fact Sheet for Industrial Facilities  

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

for Industrial Facilities May 2012 Overview Public utilities in the Pacific Northwest serve more than 2,200 megawatts of industrial load, making industrial sector users a vitally...

270

A method to estimate the size and remaining market potential of the U.S. ESCO (energy service company) industry  

Science Journals Connector (OSTI)

Abstract This study presents a method to estimate the market investment potential for ESPC (energy-saving performance contracts) and annual blended energy savings remaining in buildings typically addressed by U.S. \\{ESCOs\\} (energy service companies). We define \\{ESCOs\\} as companies for whom performance-based contracting is a core business activity. The market potential analysis incorporates market penetration estimates provided by industry experts in late 2012, data on U.S. building stock typically addressed by ESCOs, and typical project investment costs from a database of 4000+projects. ESCO industry revenue growth significantly outpaced U.S. GDP (gross domestic product) growth during 20092011. We estimate that the remaining investment potential in facilities typically addressed by the ESCO industry ranges from ?$71 to $133 billion. Our analysis includes ESCO industry size and growth projections drawing on information from interviews with ESCO executives conducted in late 2012. The U.S. ESCO industry could grow in size from $6 billion in 2013 to ?$7.5 billion by 2014, but this growth is contingent on enabling policies. The U.S. ESCO industry is similar in size to the ESCO industries in Germany, France, and China. Our estimation approach could be adapted for other countries with the caveat that ESCO industry definitions and revenue reporting practices vary across countries.

Elizabeth Stuart; Peter H. Larsen; Charles A. Goldman; Donald Gilligan

2014-01-01T23:59:59.000Z

271

Uranium industry annual 1998  

SciTech Connect (OSTI)

The Uranium Industry Annual 1998 (UIA 1998) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. It contains data for the period 1989 through 2008 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data provides a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Data on uranium raw materials activities for 1989 through 1998, including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment, are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2008, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, and uranium inventories, are shown in Chapter 2. The methodology used in the 1998 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. The Form EIA-858 ``Uranium Industry Annual Survey`` is shown in Appendix D. For the readers convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix E along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 24 figs., 56 tabs.

NONE

1999-04-22T23:59:59.000Z

272

Uranium industry annual 1994  

SciTech Connect (OSTI)

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

273

Users from Industry  

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

Users from Industry Print Users from Industry Print The Advanced Light Source (ALS) welcomes industrial users from large and small companies whose projects advance scientific knowledge, investigate the development of new products and manufacturing methods, or provide economic benefits and jobs to the economy. The nature of industrial research can be different from traditional university and government sponsored projects, so the ALS has created unique opportunities for new and existing industrial users to access our user facilities and engage in productive relationships with our scientific and engineering staff. Examples of past and current research conducted at the ALS can be viewed on the Industry @ ALS Web page. There are several modes of access; the ALS User and Scientific Support Groups are especially committed to helping new industrial users gain a foothold in our user community and welcome inquiries about how to make that happen.

274

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take of industries including consulting, technology development, software, supply chain manufacturing, engineering

Rohs, Remo

275

Compilation and Application of Japanese Inventories for Energy Consumption and Air Pollutant Emissions Using Input?Output Tables  

Science Journals Connector (OSTI)

Graduate School of Energy Science, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan ... Next, for each of the 400 sectors (the 399 sectors of the consolidated Input?Output Table plus the consumption expenditure of households sector, which is one of the final demand sectors), various statistics and source materials were used to estimate gross consumptions, expressed as a physical amount for each sector, of 6 coal-based fuels, 12 petroleum-based fuels, 3 natural gas-based fuels, and 5 other fuels. ... LPG. LPG for automobile and household use is more expensive than that used by industry, because of its higher tax rate and less efficient mode of supply. ...

Keisuke Nansai; Yuichi Moriguchi; Susumu Tohno

2003-04-04T23:59:59.000Z

276

Modelling Power Output at Nuclear Power Plant by Neural Networks  

Science Journals Connector (OSTI)

In this paper, we propose two different neural network (NN) approaches for industrial process signal forecasting. Real data is available for this research from boiling water reactor type nuclear power reactors. N...

Jaakko Talonen; Miki Sirola; Eimontas Augilius

2010-01-01T23:59:59.000Z

277

An Advanced simulation Code for Modeling Inductive Output Tubes  

SciTech Connect (OSTI)

During the Phase I program, CCR completed several major building blocks for a 3D large signal, inductive output tube (IOT) code using modern computer language and programming techniques. These included a 3D, Helmholtz, time-harmonic, field solver with a fully functional graphical user interface (GUI), automeshing and adaptivity. Other building blocks included the improved electrostatic Poisson solver with temporal boundary conditions to provide temporal fields for the time-stepping particle pusher as well as the self electric field caused by time-varying space charge. The magnetostatic field solver was also updated to solve for the self magnetic field caused by time changing current density in the output cavity gap. The goal function to optimize an IOT cavity was also formulated, and the optimization methodologies were investigated.

Thuc Bui; R. Lawrence Ives

2012-04-27T23:59:59.000Z

278

Clock-controlled generators with large period output sequences  

Science Journals Connector (OSTI)

Clock-controlled generators are a kind of pseudo-random number generators (PRNG). Recently, some clock-controlled generators based on jumping Linear Finite State Machines (LFSMs) have been proposed, such as Pomaranch and MICKEY. The period and the linear complexity of their output sequences need to be large enough to provide security against linear attacks. In this paper, a new condition for the period to reach its maximal value is presented. The condition is better than the previous one. Further, some clock-controlled generators are considered, including a new generator which uses a Feedback with Carry Shift Register (FCSR) as the control register. How to maximise the period of their output sequences is investigated.

Zhiqiang Lin

2014-01-01T23:59:59.000Z

279

Control of XeF laser output by pulse injecton  

SciTech Connect (OSTI)

Injection locking is investigated as a means for control of optical pulse duration and polarization in a XeF laser. Intense short-pulse generation in the ultraviolet is achieved by injection of a low-level 1-ns optical pulse into a XeF oscillator. Control of laser output polarization by injection locking is demonstrated and studied as a function of injected signal level. Enhancement of XeF electric-discharge laser efficiency by injection pulse ''priming'' is observed.

Pacala, T.J.; Christensen, C.P.

1980-04-15T23:59:59.000Z

280

Output power characteristics of the neutral xenon long laser  

SciTech Connect (OSTI)

Lasers which oscillate within inhomogeneously broadened gain media exhibit spectral hole burning and concomitant reduction in output power compared with equivalent homogeneously-broadened laser gain media. By increasing the cavity length, it may be possible to demonstrate at least a partial transition from an inhomogeneous laser cavity mode spectrum to a homogeneous spectrum. There are a number of high gain laser lines which are inhomogeneously-broadened transitions in electric discharges of neutral xenon. In neutral xenon lasers, as in the cases of many other gas lasers, the inhomogeneous spectral broadening mechanism arises from Doppler shifts, {Delta}{nu}{sub D}, of individual atoms in thermal motion within the electric discharge comprising the laser gain medium. Optical transitions corresponding to these noble gas atoms have natural linewidths, {Delta}{nu}{sub n}{lt}{Delta}{nu}{sub D}. Simulations of the output power characteristics of the xenon laser were carried out as a function of laser cavity parameters, including the cavity length, L. These calculations showed that when the intracavity mode spacing frequency, c/2L{lt}{Delta}{nu}{sub n}, the inhomogeneously broadened xenon mode spectrum converted to a homogeneously broadened oscillation spectrum with an increase in output power. These simulations are compared with experimental results obtained for the long laser oscillation characteristics of the (5d[5/2]{degree}{sub 2}{r_arrow}6p[3/2]{sub 1}) transition corresponding to the strong, high-gain 3.508 {mu} line in xenon.

Linford, G.J. [TRW Space and Electronics Group, Redondo Beach, CA (United States). Space and Technology Div.

1994-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Industrial | OpenEI  

Open Energy Info (EERE)

Industrial Industrial Dataset Summary Description The Industrial Assessment Centers (IAC) Database is a collection of all the publicly available data from energy efficiency assessments conducted by IACs at small and medium-sized industrial facilities. Source Department of Energy Industrial Assessment Centers Date Released September 20th, 2012 (2 years ago) Date Updated September 20th, 2012 (2 years ago) Keywords assessment energy efficiency Industrial manufacturing small and medium-sized Data application/vnd.ms-excel icon copy_of_iac_database.xls (xls, 28.7 MiB) Quality Metrics Level of Review Standards Comment Temporal and Spatial Coverage Frequency Daily Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset

282

Electrotechnologies in Process Industries  

E-Print Network [OSTI]

Processes Motor drives are mainly used in prime movers (pumps, fans, compressors, etc.) and in materials processing and handling (grinders, conveyors, etc.). EPRI develops and promotes technologies such as industrial heat pumps, freeze concentra tion... the need to disseminate the results of its research and development so that they can be applied broadly across the industrial sector. Specific technology transfer activities in process industries include: o Conferences and workshops o Tech...

Amarnath, K. R.

283

ConsumTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

Real Real Gross Domestic Product by State The real gross domestic product (GDP) data used in the U.S. Energy Infor- mation Administration State Energy Data System to calculate total energy consumed per chained (2005) dollar of output are shown in Tables D1 through D4. The data are the U.S. Department of Commerce, Bureau of Economic Analysis (BEA), real GDP estimates by state, beginning in 1977. The estimates are released in June of each year. For 1997 forward, BEA reports real GDP by state based on the North American Industry Classification System (NAICS). From 1977 through 1997, BEA reports real GDP by state based on the Standard Industrial Classification (SIC). A set of quality indexes for real GDP by state (1997=100) is available for 1977 through 1997. Given the differences in NAICS and SIC, BEA has cautioned against appending the two data series in an attempt to construct a single time series.

284

Industrial Energy Efficiency Assessments  

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

Energy Efficiency Energy Efficiency Assessments Lynn Price Staff Scientist China Energy Group Energy Analysis Department Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Industrial Energy Efficiency Assessments - Definition and overview of key components - International experience - Chinese situation and recommendations - US-China collaboration Industrial Energy Efficiency Assessments - Analysis of the use of energy and potential for energy efficiency in an industrial facility * Current situation * Recommendations for improving energy efficiency * Cost-benefit analysis of recommended options * An action plan for realizing potential savings Types of Industrial Energy Efficiency Assessments - Preliminary or walk-through - Detailed or diagnostic Audit criteria

285

Industrial Security Specialst  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve in a developmental capacity assisting senior specialists in carrying out a variety of industrial security and oversight functions.

286

Window industry technology roadmap  

SciTech Connect (OSTI)

Technology roadmap describing technology vision, barriers, and RD and D goals and strategies compiled by window industry stakeholders and government agencies.

Brandegee

2000-04-27T23:59:59.000Z

287

Commercial & Industrial Demand Response  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

288

An industrial policy  

Science Journals Connector (OSTI)

An industrial policy ... There are problems that are very much intertwined with national policy, but there are strengths, too, and they are worth noting. ...

1984-03-05T23:59:59.000Z

289

Industrial and Grid Security  

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

Industrial and Grid Security Establishing resilient infrastructures that operate when sensors and physical assets are perturbed is an important national objective. Two related LDRD...

290

Green Buildings in Green Cities: Integrating Energy Efficiency into the Real Estate Industry  

E-Print Network [OSTI]

Energy Star, the highest correlation is with metropolitan area GDP perEnergy Star buildings in total building stock as dependent variable, only GDP perEnergy Star LEED I II III I II III rentable building area number of stories year built classA classB GDP per

Bardhan, Ashok; Kroll, Cynthia A.

2011-01-01T23:59:59.000Z

291

The role of natural gas consumption and trade in Tunisia's output  

Science Journals Connector (OSTI)

Abstract This paper examines the impact of natural gas consumption, real gross fixed capital formation and trade on the real GDP in the case of Tunisia over the period 19802010. We use an Autoregressive Distributed Lag (ARDL) bounds testing approach to test for cointegration between the variables. The TodaYamamoto approach is then used to test for causality. Our findings indicate the existence of a long-term relationship between the variables. Natural gas consumption, real gross fixed capital formation and trade add in economic growth. Natural gas consumption, real gross fixed capital formation and real trade cause real GDP in Tunisia. These findings open up new insights for policymakers to formulate a comprehensive energy policy to sustain economic growth in the long-term.

Sahbi Farhani; Muhammad Shahbaz; Mohamed Arouri; Frdric Teulon

2014-01-01T23:59:59.000Z

292

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

293

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

294

NCPART: management of ICEMDDN output for numerical control users  

SciTech Connect (OSTI)

NCPART is a procedure developed by the Numerical Control Department at Bendix Kansas City Division to handle the entry to and exit from ICEMDDN, and process all of the local files output by ICEMDDN. The NCPART procedure is menu driven, and provides automatic access to ICEMDDN and any files necessary to process information with ICEM for numerical Control users. Basically, the procedure handles all of the ICEMDDN operations that involve operating system commands, and frees the NC programmer to concentrate on his/her work as a programmer.

Rossini, B.F.

1986-04-01T23:59:59.000Z

295

Waveguide submillimetre laser with a uniform output beam  

SciTech Connect (OSTI)

A method for producing non-Gaussian light beams with a uniform intensity profile is described. The method is based on the use of a combined waveguide quasi-optical resonator containing a generalised confocal resonator with an inhomogeneous mirror with absorbing inhomogeneities discretely located on its surface and a hollow dielectric waveguide whose size satisfies the conditions of self-imaging of a uniform field in it. The existence of quasi-homogeneous beams at the output of an optically pumped 0.1188-mm waveguide CH{sub 3}OH laser with a amplitude-stepped mirror is confirmed theoretically and experimentally. (lasers)

Volodenko, A V; Gurin, O V; Degtyarev, A V; Maslov, Vyacheslav A; Svich, V A; Topkov, A N [V.N. Karazin Kharkiv National University, Kharkiv (Ukraine)

2007-01-31T23:59:59.000Z

296

Growing Hawaii's agriculture industry,  

E-Print Network [OSTI]

Program Overview Growing Hawaii's agriculture industry, one business at a time Website: http-3547 agincubator@ctahr.hawaii.edu Grow Your Business If you are looking to start an agriculture-related business with our program · Positively impact the agriculture industry in Hawaii with their success

297

Conference on Industrial Physics  

Science Journals Connector (OSTI)

... THE first Conference on Industrial Physics to be held in Great Britain took place in Manchester under the ... auspices of the Institute of Physics on March 28-30. The subject chosen for the Conference was Vacuum Devices in Research and Industry, and its chief object was to ...

HERBERT R. LANG

1935-04-06T23:59:59.000Z

298

Industrial Optimization Compact Course  

E-Print Network [OSTI]

Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17­20, 2014 ·9.00­17.00 IWR ·Im Neuenheimer Feld 368 ·69120 Heidelberg www

Kirches, Christian

299

Industrial electrotechnology development  

Science Journals Connector (OSTI)

New and improved industrial technologies have a tremendous role in enhancing productivity, minimising waste, reducing overall energy consumption, and mitigating environmental impacts. The electric utility industry plays a major role in developing these new and improved technologies. This paper describes several major advances and their potential impacts.

Clark W. Gellings

1997-01-01T23:59:59.000Z

300

Industry - ORNL Neutron Sciences  

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

Industry and Neutron Science Industry and Neutron Science Industry and Neutron Science: Working To Make a Match "In fundamental research, we want to know everything. Industry wants to know enough to answer a question." Research Contact: Mike Crawford September 2011, Written by Deborah Counce Mike Crawford and Souleymane Diallo Mike Crawford of Dupont (right) and Souleymane Diallo, instrument scientist for the Backscattering Spectrometer at SNS, prepare a material sample for an experiment on the instrument. Industrial users are starting to eye the potential of neutron science for solving problems that can't be solved in any other way. At the same time, the SNS and HFIR neutron science facilities at ORNL are exploring ways to woo such users and to make a match of it, to the benefit of both.

Note: This page contains sample records for the topic "gdp industrial output" 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

Uranium industry annual 1996  

SciTech Connect (OSTI)

The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

NONE

1997-04-01T23:59:59.000Z

302

Uranium industry annual 1995  

SciTech Connect (OSTI)

The Uranium Industry Annual 1995 (UIA 1995) provides current statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1995 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the period 1986 through 2005 as collected on the Form EIA-858, ``Uranium Industry Annual Survey``. Data collected on the ``Uranium Industry Annual Survey`` provide a comprehensive statistical characterization of the industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1995, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. Data on uranium raw materials activities for 1986 through 1995 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2005, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. The methodology used in the 1995 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. For the reader`s convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix D along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 14 figs., 56 tabs.

NONE

1996-05-01T23:59:59.000Z

303

Method and system for managing an electrical output of a turbogenerator  

DOE Patents [OSTI]

The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

2010-08-24T23:59:59.000Z

304

Posted 3/2/13 Medline Industries Industrial Engineer  

E-Print Network [OSTI]

Posted 3/2/13 Medline Industries ­ Industrial Engineer Medline Industries, Inc. has an immediate opening for an Industrial Engineer for our SPT Division located in Waukegan, IL. We are seeking a hard-working, detail-oriented professional with experience in industrial engineering and lean manufacturing within

Heller, Barbara

305

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

306

INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in todays global marketplace. The Industrial and Systems engineers task is to take limited Industrial and Systems Engineering Bachelor of Science 128 units Industrial and Systems Engineering

Rohs, Remo

307

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

308

Modelling power output at nuclear power plant by neural networks  

Science Journals Connector (OSTI)

In this paper, we propose two different neural network (NN) approaches for industrial process signal forecasting. Real data is available for this research from boiling water reactor type nuclear power reactors. NNs are widely used for time series prediction, ... Keywords: evaluation methods, model input selection, neural networks, nuclear power plant, one-step ahead prediction

Jaakko Talonen; Miki Sirola; Eimontas Augilius

2010-09-01T23:59:59.000Z

309

NSLS Industrial User Program  

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

Jun Wang Physicist, Industrial Program Coordinator Phone: 344-2661 Email: junwang@bnl.gov Jun Wang is an Industrial Program Coordinator in the Photon Science Directorate at Brookhaven National Laboratory. She is working closely with industrial researchers as well as beamline staff to identify and explore new opportunities in industrial applications using synchrotron radiation. She has been leading the industrial research program including consultation, collaboration and outreach to the industrial user groups. Before joining BNL in 2008, Jun Wang was a Lead Scientist for a high-resolution high throughput powder diffraction program at the Advanced Photon Source (APS). As a Physicist at BNL, her research focuses on materials structure determination and evolution. Her expertise covers wide range x-ray techniques such as thin film x-ray diffraction and reflectivity, powder diffraction, small angle x-ray scattering, protein solution scattering and protein crystallography, as well as x-ray imaging. Currently she is the project leader of a multi-million dollar project on transmission x-ray microscopy recently funded by the U.S. DOE and the spokesperson for this new imaging beamline at the NSLS. She has also been collaborating with universities and industries for several projects on energy research at the NSLS.

310

Industrial process surveillance system  

DOE Patents [OSTI]

A system and method are disclosed for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy. 96 figs.

Gross, K.C.; Wegerich, S.W.; Singer, R.M.; Mott, J.E.

1998-06-09T23:59:59.000Z

311

Inflation uncertainty, growth uncertainty, oil prices, and output growth in the UK  

Science Journals Connector (OSTI)

This study examines the transmission and response of inflation uncertainty and output uncertainty on inflation and output growth in the UK using a bi-variate EGARCH model. Results suggest that inflation uncertain...

Ramprasad Bhar; Girijasankar Mallik

2013-12-01T23:59:59.000Z

312

GIS Based Multi-criteria Analysis for Industrial Site Selection  

Science Journals Connector (OSTI)

Abstract Site selection is one of the basic vital decisions in the start-up process, expansion or relocation of businesses of all kinds. Construction of a new industrial system is a major long-term investment, and in this sense determining the location is critical point on the road to success or failure of industrial system. One of the main objectives in industrial site selection is finding the most appropriate site with desired conditions defined by the selection criteria. Most of the data used by managers and decision makers in industrial site selection are geographical which means that industrial site selection process is spatial decision problem. Such studies are becoming more and more common, due to the availability of the Geographic Information Systems (GIS) with user-friendly interfaces. Geographic information systems (GIS) are powerful tool for spatial analysis which provides functionality to capture, store, query, analyze, display and output geographic information. Geographic Information Systems are used in conjunction with other systems and methods such as systems for decision making (DSS) and the method for multi-criteria decision making (MCDM). Synergistic effect is generated by combining these tools contribute to the efficiency and quality of spatial analysis for industrial site selection. This paper presents a successful solution for spatial decision support in the case of spatial analysis of Vojvodina as a region of interest for industrial site selection.

Aleksandar Rikalovic; Ilija Cosic; Djordje Lazarevic

2014-01-01T23:59:59.000Z

313

Carbon Emissions: Food Industry  

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

Food Industry Food Industry Carbon Emissions in the Food Industry The Industry at a Glance, 1994 (SIC Code: 20) Total Energy-Related Emissions: 24.4 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 6.6% Total First Use of Energy: 1,193 trillion Btu -- Pct. of All Manufacturers: 5.5% Carbon Intensity: 20.44 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 24.4 Net Electricity 9.8 Natural Gas 9.1 Coal 4.2 All Other Sources 1.3 Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998

314

Carbon Emissions: Chemicals Industry  

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

Chemicals Industry Chemicals Industry Carbon Emissions in the Chemicals Industry The Industry at a Glance, 1994 (SIC Code: 28) Total Energy-Related Emissions: 78.3 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 21.1% -- Nonfuel Emissions: 12.0 MMTC Total First Use of Energy: 5,328 trillion Btu -- Pct. of All Manufacturers: 24.6% Energy Sources Used As Feedstocks: 2,297 trillion Btu -- LPG: 1,365 trillion Btu -- Natural Gas: 674 trillion Btu Carbon Intensity: 14.70 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 78.3 Natural Gas 32.1

315

Argonne CNM: Industrial Users  

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

For Industrial Users For Industrial Users The Center for Nanoscale Materials (CNM) has specific interest in growing the industrial user program and encourages researchers in industry to consider the capabilities and expertise we have to offer. As a CNM user, you have easy access to sophisticated scientific instrumentation geared toward nanoscience and nanotechnology. Moreover, our widely recognized staff researchers offer support in designing your experiments, using the equipment, and analyzing your data. Access to the CNM is through peer review of user proposals. Before you submit your first user proposal, we encourage you to contact any of our staff researchers, group leaders, the User Office, or division management to discuss the feasibility of your intended research using the expertise and facilities at the CNM. We are here to serve you as part of our user community and will be happy to address any questions you might have.

316

Electric Utility Industry Update  

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

Electric Utility Industry Update Electric Utility Industry Update Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG Spring 2012 April 12, 2012 Edison Electric Institute  Investor-Owned Electric Companies  Membership includes  200 US companies,  More than 65 international affiliates and  170 associates  US members  Serve more than 95% of the ultimate customers in the investor-owned segment of the industry and  Nearly 70% of all electric utility ultimate customers, and  Our mission focuses on advocating public policy; expanding market opportunities; and providing strategic business information Agenda Significant Industry Trends Utility Infrastructure Investments Generation and Fuel Landscape

317

Carbon Emissions: Paper Industry  

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

Paper Industry Paper Industry Carbon Emissions in the Paper Industry The Industry at a Glance, 1994 (SIC Code: 26) Total Energy-Related Emissions: 31.6 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 8.5% Total First Use of Energy: 2,665 trillion Btu -- Pct. of All Manufacturers: 12.3% -- Pct. Renewable Energy: 47.7% Carbon Intensity: 11.88 MMTC per quadrillion Btu Renewable Energy Sources (no net emissions): -- Pulping liquor: 882 trillion Btu -- Wood chips and bark: 389 trillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 31.6 Net Electricity 11.0

318

Industry | OpenEI  

Open Energy Info (EERE)

Industry Industry Dataset Summary Description The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary; conventional and non-conventional; and new and renewable sources of energy. The Energy Statistics dataset, covering the period from 1990 on, is available at UNdata. This dataset relates to the consumption of alcohol by other industries and construction. Data is only available for Paraguay and the U.S., years 2000 to 2007. Source United Nations (UN) Date Released December 09th, 2009 (5 years ago) Date Updated Unknown Keywords Agriculture Alcohol consumption Industry UN Data application/zip icon XML (zip, 514 bytes) application/zip icon XLS (zip, 425 bytes) Quality Metrics

319

Industry - ORNL Neutron Sciences  

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

Former User Group Chair Enthusiastic About Relevance of Neutron Scattering Former User Group Chair Enthusiastic About Relevance of Neutron Scattering to Industrial Research Former User Group Chair Mike Crawford Mike Crawford, DuPont Research and Development. The drive is intensifying to encourage research partnerships between Neutron Sciences and private industry. Such partnerships, a long-term strategic goal set by the DOE's Basic Energy Sciences Advisory Committee, will deliver industry and its technological problems to SNS and HFIR, where joint laboratory-industry teams can use the unparalleled resources available here to resolve them. "SNS is a tremendous facility. It has the potential to have a couple of thousand user visits a year and, if they build another target station in the future, you're probably talking about 4000 user visits a year,"

320

Safety in Offshore Industry  

Science Journals Connector (OSTI)

A large number of accidents in offshore industry have occurred over the years. Ten of the deadliest of these accidents occurred at or on the Piper Alpha ... , the Alexander L. Kielland (a Norwegian semi-submersible

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Energy Industry Analyst  

Broader source: Energy.gov [DOE]

A successful candidate in this position will function as an Energy Industry Analyst within FE's Office of Oil and Gas, with responsibility for supporting senior staff members in performing policy...

322

Mining Industry Profile  

Broader source: Energy.gov [DOE]

The U.S. mining industry consists of the search for, extraction, beneficiation, and processing of naturally occurring solid minerals from the earth. These mined minerals include coal, metals such...

323

Load Management for Industry  

E-Print Network [OSTI]

In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

Konsevick, W. J., Jr.

1982-01-01T23:59:59.000Z

324

Uranium Industry Annual, 1992  

SciTech Connect (OSTI)

The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

Not Available

1993-10-28T23:59:59.000Z

325

Industrial power by research?  

Science Journals Connector (OSTI)

... The largest nation on the Earth is at last on the road to becoming an industrial power matching in prosperity and creativity the most successful nations elsewhere in the world. ... ask whether China has always been so certain of itself.

1985-11-21T23:59:59.000Z

326

Steel Industry Profile  

Broader source: Energy.gov [DOE]

The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of manufacturing, construction, transportation, and various consumer products. Traditionally...

327

Utility and Industrial Partnerships  

E-Print Network [OSTI]

In the past decade, many external forces have shocked both utilities and their large industrial customers into seeking more effective ways of coping and surviving. One such way is to develop mutually beneficial partnerships optimizing the use...

Sashihara, T. F.

328

Presentations for Industry  

Broader source: Energy.gov [DOE]

Industrial energy managers, utilities, and energy management professionals can find online trainings and information dissemination at no-cost. AMO has provided these energy-saving strategies from leading manufacturing companies and energy experts through several different presentation series.

329

Industrial Decision Making  

E-Print Network [OSTI]

Domestic industrial investment has declined due to unfavorable energy prices, and external markets. Investment behavior has changed over the past few years, and will continue due to high labor costs, tight markets and an unstable U.S. economy...

Elliott, R. N.; McKinney, V.; Shipley, A.

2008-01-01T23:59:59.000Z

330

Macro Industrial Working Group  

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

your attention 22 Industrial Team Washington DC, September 29, 2014 Macro Team: Kay Smith (lead) (202) 586-1132 | kay.smith@eia.gov Vipin Arora (202) 586-1048 |...

331

Industrial Assessment Center  

SciTech Connect (OSTI)

The University of Dayton (UD) performed energy assessments, trained students and supported USDOE objectives. In particular, the UD Industrial Assessment Center (IAC) performed 96 industrial energy assessment days for mid-sized manufacturers. The average identified and implemented savings on each assessment were $261,080 per year and $54,790 per year. The assessments served as direct training in industrial energy efficiency for 16 UD IAC students. The assessments also served as a mechanism for the UD IAC to understand manufacturing energy use and improve upon the science of manufacturing energy efficiency. Specific research results were published in 16 conference proceedings and journals, disseminated in 22 additional invited lectures, and shared with the industrial energy community through the UD IAC website.

J. Kelly Kissock; Becky Blust

2007-04-17T23:59:59.000Z

332

Measurement and Modeling of Solar and PV Output Variability: Preprint  

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

Measurement and Modeling of Measurement and Modeling of Solar and PV Output Variability Preprint M. Sengupta To be presented at SOLAR 2011 Raleigh, North Carolina May 17-21, 2011 Conference Paper NREL/CP-5500-51105 April 2011 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty,

333

Quantum teleportation scheme by selecting one of multiple output ports  

E-Print Network [OSTI]

The scheme of quantum teleportation, where Bob has multiple (N) output ports and obtains the teleported state by simply selecting one of the N ports, is thoroughly studied. We consider both deterministic version and probabilistic version of the teleportation scheme aiming to teleport an unknown state of a qubit. Moreover, we consider two cases for each version: (i) the state employed for the teleportation is fixed to a maximally entangled state, and (ii) the state is also optimized as well as Alice's measurement. We analytically determine the optimal protocols for all the four cases, and show the corresponding optimal fidelity or optimal success probability. All these protocols can achieve the perfect teleportation in the asymptotic limit of $N\\to\\infty$. The entanglement properties of the teleportation scheme are also discussed.

Satoshi Ishizaka; Tohya Hiroshima

2009-04-06T23:59:59.000Z

334

Industrial energy use indices  

E-Print Network [OSTI]

and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. iv... This analysis uses electricity and natural gas energy consumption and area data of manufacturing plants available in the U.S. Department of Energys national Industrial Assessment Center (IAC) database. The data there come from Industrial Assessment Centers...

Hanegan, Andrew Aaron

2008-10-10T23:59:59.000Z

335

Tuesday Webcasts for Industry  

Broader source: Energy.gov [DOE]

Learn about AMO's software tools, technologies, partnership opportunities, and other resources by watching the Tuesday Webcasts for Industry. They are held on the first Tuesday of every month from 2:00 to 3:00 p.m. Eastern time and are presented by manufacturers, AMO staff, and industry experts. Register to participate in upcoming Tuesday webcasts by visiting the AMO Events Calendar or Training Calendar. Each entry includes the webcast's date, topic, and registration link, and a detailed description.

336

Japan Confronts Industry Decline  

Science Journals Connector (OSTI)

Japan Confronts Industry Decline ... The moves are taking place at a time when demand in Japan is weak and companies face competition from lower-cost players in the Middle East and the U.S. ... Only a few months ago, Japans largest chemical company, Mitsubishi Chemical, cited deteriorating business conditions when it announced it would close one of its ethylene crackers in Kashima, Ibaraki prefecture, an industrial city a few hours drive northeast of Tokyo. ...

JEAN-FRANOIS TREMBLAY

2013-02-11T23:59:59.000Z

337

A Framework to Determine the Probability Density Function for the Output Power of Wind Farms  

E-Print Network [OSTI]

A Framework to Determine the Probability Density Function for the Output Power of Wind Farms Sairaj to the power output of a wind farm while factoring in the availability of the wind turbines in the farm availability model for the wind turbines, we propose a method to determine the wind-farm power output pdf

Liberzon, Daniel

338

Linear model-based estimation of blood pressure and cardiac output for Normal and Paranoid cases  

Science Journals Connector (OSTI)

Provisioning a generic simple linear mathematical model for Paranoid and Healthy cases leading to auxiliary investigation of the neuroleptic drugs effect imposed on cardiac output (CO) and blood pressure (BP). Multi-input single output system identification ... Keywords: Blood pressure, Cardiac output, Heart rate, MISO transfer function, Stroke volume, System identification

Mohamed Abdelkader Aboamer, Ahmad Taher Azar, Khaled Wahba, Abdallah S. Mohamed

2014-11-01T23:59:59.000Z

339

The role of hydrogen energy development in the Korean economy: An inputoutput analysis  

Science Journals Connector (OSTI)

Abstract Korea has been developing hydrogen energy technology to enhance its energy security. The Hydrogen Energy R&D Center established by the Korean government invested about 100billion Korean won (KRW) into the development of hydrogen energy technology from 2003 to 2012. This study uses inputoutput (IO) analysis, along with the scenariobased exogenous specification method, to investigate the effect of hydrogen energy technology investment on the Korean economy for the period 20202040. We focus on two perspectives: (1) the sectoral linkage effect and (2) the sectoral impacts of hydrogen energy supply investments. The overall results reveal that the hydrogen sector can be characterized as intermediate primary production because of its high backward and forward linkage effects. By 2040, total production in the hydrogen sector under two scenarios will be 13,484 and 2979billion KRW, respectively. This study is a pioneering study into the assessment of the economywide effects of Korea's hydrogen energy industries.

Dongphil Chun; Chungwon Woo; Hangyeol Seo; Yanghon Chung; Sungjun Hong; Jongwook Kim

2014-01-01T23:59:59.000Z

340

Clean Energy Manufacturing Initiative Industrial Efficiency and...  

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

Industrial Efficiency and Energy Productivity Video Clean Energy Manufacturing Initiative Industrial Efficiency and Energy Productivity Video Addthis Description Industrial...

Note: This page contains sample records for the topic "gdp industrial output" 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

Industrial Energy Efficiency Assessments | Department of Energy  

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

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

342

Challenges for implementing industrial policy in Mexico  

E-Print Network [OSTI]

Although Mexico experienced high growth rates in the 1960s, 1970s, and early 1980s, the country has not fared well in terms of improvements in poverty and equality, growth in GDP, and job growth in some sectors in the last ...

Leith, Kendra Sawyer

2009-01-01T23:59:59.000Z

343

1 Industrial Electron Accelerators type ILU for Industrial Technologies  

E-Print Network [OSTI]

1 Industrial Electron Accelerators type ILU for Industrial Technologies The present work describes industrial electron accelerators of the ILU family. Their main parameters, design, principle of action the pulse linear accelerators type ILU are developed and supplied to the industry. The ILU machines

344

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take s e n G i n e e r i n G ( i s e ) ISE 105 Introduction to Industrial and Systems Engineering (2, Fa

Rohs, Remo

345

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take to introduce the philosophy, subject matter, aims, goals, and techniques of industrial and systems engineering

Rohs, Remo

346

Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst  

E-Print Network [OSTI]

9/13/2007 Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst Department of Mechanical and Industrial Engineering About the Mechanical and Industrial Engineering Industry Advisory Board The purpose of the Mechanical and Industrial Engineering Industry Advisory

Mountziaris, T. J.

347

Vehicle Technologies Office: Fact #482: August 13, 2007 Refinery Output by  

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

2: August 13, 2: August 13, 2007 Refinery Output by World Region to someone by E-mail Share Vehicle Technologies Office: Fact #482: August 13, 2007 Refinery Output by World Region on Facebook Tweet about Vehicle Technologies Office: Fact #482: August 13, 2007 Refinery Output by World Region on Twitter Bookmark Vehicle Technologies Office: Fact #482: August 13, 2007 Refinery Output by World Region on Google Bookmark Vehicle Technologies Office: Fact #482: August 13, 2007 Refinery Output by World Region on Delicious Rank Vehicle Technologies Office: Fact #482: August 13, 2007 Refinery Output by World Region on Digg Find More places to share Vehicle Technologies Office: Fact #482: August 13, 2007 Refinery Output by World Region on AddThis.com... Fact #482: August 13, 2007

348

Iron and steel industry process model  

SciTech Connect (OSTI)

The iron and steel industry process model depicts expected energy-consumption characteristics of the iron and steel industry and ancillary industries for the next 25 years by means of a process model of the major steps in steelmaking, from ore mining and scrap recycling to the final finishing of carbon, alloy, and stainless steel into steel products such as structural steel, slabs, plates, tubes, and bars. Two plant types are modeled: fully integrated mills and mini-mills. User-determined inputs into the model are as follows: projected energy and materials prices; projected costs of capacity expansion and replacement; energy-conserving options, both operating modes and investments; the internal rate of return required on investment; and projected demand for finished steel. Nominal input choices in the model for the inputs listed above are as follows: National Academy of Sciences Committee on Nuclear and Alternative Energy Systems Demand Panel nominal energy-price projections for oil, gas, distillates, residuals, and electricity and 1975 actual prices for materials; actual 1975 costs; new technologies added; 15% after taxes; and 1975 actual demand with 1.5%/y growth. The model reproduces the base-year (1975) actual performance of the industry; then, given the above nominal input choices, it projects modes of operation and capacity expansion that minimize the cost of meeting the given final demands for each of 5 years, each year being the midpoint of a 5-year interval. The output of the model includes the following: total energy use and intensity (Btu/ton) by type, by process, and by time period; energy conservation options chosen; utilization rates for existing capacity; capital-investment decisions for capacity expansion.

Sparrow, F.T.; Pilati, D.; Dougherty, T.; McBreen, E.; Juang, L.L.

1980-01-01T23:59:59.000Z

349

ET Industries, Inc.  

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

ET Industries, Inc. ET Industries, Inc. (showerheads) Issued: May 24, 2013 BEFORE THE U.S. DEPARTMENT OF ENERGY Washington, D.C. 20585 ) ) ) ) ) Case Number: 2012-SE-2902 AMENDED NOTICE OF NONCOMPLIANCE DETERMINATION 1 Manufacturers (including importers) are prohibited from distributing covered products in the United States that do not comply with applicable federal water conservation standards. See 10 C.F.R. §§ 429.5, 429.102; 42 U.S.C. §§ 6291(10), 6302. On April 3, 2012, DOE tested one unit of the "ThunderHead" showerhead basic model ("basic model TH-1 " 2 ), which ET Industries, Inc. ("ET") imported into the United States. On April 24, 2012, DOE completed testing of three additional units of basic model TH-1, also imported into

350

Emulsified industrial oils recycling  

SciTech Connect (OSTI)

The industrial lubricant market has been analyzed with emphasis on current and/or developing recycling and re-refining technologies. This task has been performed for the United States and other industrialized countries, specifically France, West Germany, Italy and Japan. Attention has been focused at emulsion-type fluids regardless of the industrial application involved. It was found that emulsion-type fluids in the United States represent a much higher percentage of the total fluids used than in other industrialized countries. While recycling is an active matter explored by the industry, re-refining is rather a result of other issues than the mere fact that oil can be regenerated from a used industrial emulsion. To extend the longevity of an emulsion is a logical step to keep expenses down by using the emulsion as long as possible. There is, however, another important factor influencing this issue: regulations governing the disposal of such fluids. The ecological question, the respect for nature and the natural balances, is often seen now as everybody's task. Regulations forbid dumping used emulsions in the environment without prior treatment of the water phase and separation of the oil phase. This is a costly procedure, so recycling is attractive since it postpones the problem. It is questionable whether re-refining of these emulsions - as a business - could stand on its own if these emulsions did not have to be taken apart for disposal purposes. Once the emulsion is separated into a water and an oil phase, however, re-refining of the oil does become economical.

Gabris, T.

1982-04-01T23:59:59.000Z

351

Output, efficiency, emissions improved with Cat's 3500 series B engine  

SciTech Connect (OSTI)

Like most technologies, engine developments tend to follow evolutionary paths. And it's a given that the longer an engine's been around and the more successful it's been, the more likely it is that any changes made would be incremental. On the surface, such is the case with the Caterpillar 3500 Series B diesel engine, recently introduced in Europe and the United States. Based on the well-proven 3500 engine first introduced in 1980 and upgraded with a Phase II program five years later, most of the changes appear incremental. But taken as a whole, they provide a level of performance and durability that Caterpillar anticipates will make this engine an even stronger contender in power generation and marine applications for years to come. It's not hard to see why. Output has been increased between 17% and 30% on some models; fuel consumption is improved by as much as 15%; and with the new aftertreatment system introduced with the engines, emissions as low as 1.3 g/kWh NO[sub x] are said to be achieveable. This paper outlines the design, specifications, and highlights of the improvements in performance of these new engines. 3 figs.

Brezonick, M.

1995-03-01T23:59:59.000Z

352

China's Industrial Energy  

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

China's Industrial Energy China's Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy- Saving Program and the Ten Key Energy-Saving Projects Jing Ke, Lynn Price, Stephanie Ohshita, David Fridley, Nina Khanna, Nan Zhou, Mark Levine China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Reprint version of journal article published in "Energy Policy", Volume 50, Pages 562-569, November 2012 October 2012 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY

353

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

354

BTU Accounting for Industry  

E-Print Network [OSTI]

convert utility bills to BTUs? All fuels can be measured in terms of BTU content. Natural gas has a million BTUs per thousand cubic feet; propane - 92,000 BTUs per gallon; fuel oil - 140,000 BTUs per gallon; electricity - 3,413 BTUs per KW hour... BTU ACCOUNTING FOR INDUSTRY Robert O. Redd-CPA Seidman & Seidman Grand Rapids, Michigan Today, as never before, American industry needs to identify and control their most criti cal resources. One of these is energy. In 1973 and again in 1976...

Redd, R. O.

1979-01-01T23:59:59.000Z

355

Chapter 11 - Industrial Automation  

Science Journals Connector (OSTI)

The industrial systems of the future are complex systems composed of vast numbers of devices interacting with each other and with enterprise systems. Modern technologies such as web services, service-oriented architectures (SOAs), the cloud, etc. make it possible for sophisticated infrastructures to emerge in future factories. We take a closer look at key visionary aspects that are expected to be introduced in the industrial automation domain in the years to come, and the pivotal role of M2M and IoT. Additionally, we investigate the impact on the collaboration of machines among themselves and with enterprise systems and their services.

Jan Hller; Vlasios Tsiatsis; Catherine Mulligan; Stamatis Karnouskos; Stefan Avesand; David Boyle

2014-01-01T23:59:59.000Z

356

Industrial Partnerships | ornl.gov  

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

Carbon Fiber Consortium Manufacturing Industrial Partnerships Staff University Partnerships Events and Conferences Success Stories Video Newsletters Staff Contacts Partnerships Home | Connect with ORNL | For Industry | Partnerships | Industrial Partnerships SHARE Industrial Partnerships ORNL takes great pride in its work with U.S. industry. Each year, the Industrial Partnerships team hosts more than 100 visits to ORNL by both large corporations and small companies to help our potential partners understand the capabilities and expertise that exist at the laboratory and the various mechanisms available to help facilitate collaboration. Mechanism for Partnering How do I get started exploring industrial partnerships at ORNL? As the nation's largest science and energy laboratory, it can sometimes be

357

Wool Industries Research Association  

Science Journals Connector (OSTI)

... THE report of Dr. A. B. P. Cassie, director of research of the Wool Industries Research Association, presented to the annual general meeting of the Association on April ... No. 212.) Headingley, Leeds: 1959). Modifications have been made to the pilot scouring plant, while methods for determining oil and grease in ...

1959-06-27T23:59:59.000Z

358

CONGRESS BLASTS OIL INDUSTRY  

Science Journals Connector (OSTI)

IN PACKED HEARINGS last week before angry members of Congress, the heads of BP, ExxonMobil, Chevron, ConocoPhillips, and Shell Oil defended their industry in light of the April 20 BP oil rig explosion in the Gulf of Mexico, which has led to the worst ...

JEFF JOHNSON

2010-06-21T23:59:59.000Z

359

Industry Partners Panel  

Broader source: Energy.gov [DOE]

Industry Panel presenters include: Michael G. Andrew, Director - Academic and Technical Programs, Advanced Products and Materials, Johnson Controls Power Solutions Michael A. Fetcenko, Vice President and Managing Director, BASF Battery Materials Ovonic, BASF Corporation Adam Kahn, Founder and CEO, AKHAN Technologies, Inc. Stephen E. Zimmer, Executive Director, United States Council for Automotive Research (USCAR)

360

Developing an energy efficiency service industry in Shanghai  

SciTech Connect (OSTI)

The rapid development of the Chinese economy over the past two decades has led to significant growth in China's energy consumption and greenhouse gas (GHG) emissions. Between 1980 and 2000, China's energy consumption more than doubled from 602 million to 1.3 billion tons of coal-equivalent (NBS, 2003). In 2000, China's GHG emissions were about 12% of the global total, ranked second behind only the US. According to the latest national development plan issued by the Chinese government, China's energy demand is likely to double again by 2020 (DRC, 2004), based on a quadrupling of its gross domestic product (GDP). The objectives of the national development plan imply that China needs to significantly raise the energy efficiency of its economy, i.e., cutting the energy intensity of its economy by half. Such goals are extremely ambitious, but not infeasible. China has achieved such reductions in the past, and its current overall level of energy efficiency remains far behind those observed in other developed economies. However, challenges remain whether China can put together an appropriate policy framework and the institutions needed to improve the energy efficiency of its economy under a more market-based economy today. Shanghai, located at the heart of the Yangtze River Delta, is the most dynamic economic and financial center in the booming Chinese economy. With 1% of Chinese population (13 million inhabitants), its GDP in 2000 stood at 455 billion RMB yuan (5% of the national total), with an annual growth rate of 12%--much higher than the national average. It is a major destination for foreign as well as Chinese domestic investment. In 2003, Shanghai absorbed 10% of actual foreign investment in all China (''Economist'', January 17-23, 2004). Construction in Shanghai continues at a breakneck pace, with an annual addition of approximately 200 million square foot of residential property and 100 million square foot of commercial and industrial space over the last 5 years. It is one reason that China consumed over 60% of the world's cement production in 2003 (NBS 2004). Energy consumption in Shanghai has been growing at 6-8% annually, with the growth of electricity demand at over 10% per year. Shanghai, with very limited local energy resources, relies heavily on imported coal, oil, natural gas, and electricity. While coal still constitutes over half of Shanghai's energy consumption, oil and natural gas use have been growing in importance. Shanghai is the major market for China's West to East (natural gas) Pipeline (WEP). With the input from WEP and off-shore pipelines, it is expected that natural gas consumption will grow from 250 million cubic meters in 2000 to 3000-3500 million cubic meters in 2005. In order to secure energy supply to power Shanghai's fast-growing economy, the Shanghai government has set three priorities in its energy strategy: (1) diversification of its energy structure, (2) improving its energy efficiency, and (3) developing renewable and other cleaner forms of energy. Efficiency improvements are likely to be most critical, particularly in the near future, in addressing Shanghai's energy security, especially the recent electricity shortage in Shanghai. Commercial buildings and industries consume the majority of Shanghai's, as well as China's, commercial energy. In the building sector, Shanghai has been very active implementing energy efficiency codes for commercial and residential buildings. Following a workshop on building codes implementation held at LBNL for senior Shanghai policy makers in 2001, the Shanghai government recently introduced an implementation guideline on residential building energy code compliance for the downtown area of Shanghai to commence in April, 2004, with other areas of the city to follow in 2005. A draft code for commercial buildings has been developed as well. In the industrial sector, the Shanghai government started an ambitious initiative in 2002 to induce private capital to invest in energy efficiency improvements via energy management/services companies (EMC/ESCOs). In partic

Lin, Jiang; Goldman, Charles; Levine, Mark; Hopper, Nicole

2004-02-10T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Industrial Facilities | Department of Energy  

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

Industrial Facilities Industrial Facilities Industrial Facilities October 8, 2013 - 10:14am Addthis The Federal Energy Management Program (FEMP) encourages Federal agencies requiring assistance with implementing energy-efficiency measures in their industrial facilities to hire a U.S. Department of Energy Industrial Assessment Center (IAC) for assessment services. The following resources can be used to plan and implement industrial facility energy-efficiency projects. Technical Publications: The Advanced Manufacturing Office (AMO) website offers fact sheets, handbooks, and self-assessment manuals covering steam system efficiency, fundamentals of compressed air systems, motor systems management, and other topics. Tools: The AMO website offers valuable software tools for evaluating

362

Combining frequency and time domain approaches to systems with multiple spike train input and output  

E-Print Network [OSTI]

between neuronal spike trains. Prog Biophys Mol Biol Vapnikto systems with multiple spike train input and output D. R.Keywords Multiple spike trains Neural coding Maximum

Brillinger, D. R.; Lindsay, K. A.; Rosenberg, J. R.

2009-01-01T23:59:59.000Z

363

On using transputers to design the header and output processors for the PSi architecture  

E-Print Network [OSTI]

the complexity associatecl with general soft ware. From Upper Layer Needer Processor From Lower Leyei' Input Bus Concoction Processor Connection Processor 256 CP's Output Bus To Upper Layer Output Processor To Lower Layer Fig. 2. d. Block... yer From Lower Layer T2 T3 To Input Bus of CP's From Output Bus of CF's From Output Bus of Cfes Fig, 4. 1. e. Block diagram of Design I transputers has its own private memory. Tl acts as the header processor. Two of its serial links...

Manickam, Muralidhar

2012-06-07T23:59:59.000Z

364

A CSP Timed Input-Output Relation and a Strategy for Mechanised Conformance Verification  

Science Journals Connector (OSTI)

Here we propose a timed input-output conformance relation (named CSPTIO) based on the process algebra CSP. In contrast to other relations, CSPTIO...

Gustavo Carvalho; Augusto Sampaio

2013-01-01T23:59:59.000Z

365

FORMALIZATION OF INPUT AND OUTPUT IN MODERN OPERATING SYSTEMS: THE HADLEY MODEL.  

E-Print Network [OSTI]

??We present the Hadley model, a formal descriptive model of input and output for modern computer operating systems. Our model is intentionally inspired by the (more)

Gerber, Matthew

2005-01-01T23:59:59.000Z

366

Cavity dumping versus stationary output coupling in repetitively Q-switched solid-state lasers  

Science Journals Connector (OSTI)

A comparative theoretical analysis of continuously pumped actively Q-switched solid-state lasers differing in output coupling methods (cavity dumping versus a partially transmitting...

Grishin, Mikhail

2011-01-01T23:59:59.000Z

367

Essays on the industrial organization of the airline industry  

E-Print Network [OSTI]

This thesis analyzes several aspects of the Industrial Organization of the airline industry in three separate chapters. Chapter 1 investigates the effect of air traffic delays on airline prices. The degree to which prices ...

Januszewski, Silke I. (Silke Irene), 1974-

2003-01-01T23:59:59.000Z

368

Coal industry annual 1993  

SciTech Connect (OSTI)

Coal Industry Annual 1993 replaces the publication Coal Production (DOE/FIA-0125). This report presents additional tables and expanded versions of tables previously presented in Coal Production, including production, number of mines, Productivity, employment, productive capacity, and recoverable reserves. This report also presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for a wide audience including the Congress, Federal and State agencies, the coal industry, and the general public. In addition, Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility Power Producers who are not in the manufacturing, agriculture, mining, construction, or commercial sectors. This consumption is estimated to be 5 million short tons in 1993.

Not Available

1994-12-06T23:59:59.000Z

369

Industrial Assessment Centers (IACs)  

Broader source: Energy.gov [DOE]

Small- and medium-sized manufacturers may be eligible to receive a no-cost assessment provided by DOE Industrial Assessment Centers (IACs). Teams located at 24 universities around the country conduct the energy audits to identify opportunities to improve productivity, reduce waste, and save energy. Each manufacturer typically identifies about $55,000 in potential annual savings on average. Over 15,000 IAC assessments have been conducted. IACs also train the next-generation of energy savvy engineers.

370

Recent developments: Industry briefs  

SciTech Connect (OSTI)

This article is the `Industry Briefs` portion of Nuexco`s July 1992 `Recent Developments` section. Specific items mentioned include: (1) the merger of Entergy and Gulf States Utilities, (2) restart of the Sequoyah Fuels facility in Oklahoma, (3) development of the 7th and 8th nuclear units in Taiwan, (4) purchase of interest in Rio Algom, Ltd, and (5) acquisition of the Italian firm AGIP by a Canadian company.

NONE

1992-07-01T23:59:59.000Z

371

Industrial Analytics Corporation  

SciTech Connect (OSTI)

The lost foam casting process is sensitive to the properties of the EPS patterns used for the casting operation. In this project Industrial Analytics Corporation (IAC) has developed a new low voltage x-ray instrument for x-ray radiography of very low mass EPS patterns. IAC has also developed a transmitted visible light method for characterizing the properties of EPS patterns. The systems developed are also applicable to other low density materials including graphite foams.

Industrial Analytics Corporation

2004-01-30T23:59:59.000Z

372

SymposiumandIndustrialAffiliatesProgramLightinAction Industrial Affiliates Program  

E-Print Network [OSTI]

SymposiumandIndustrialAffiliatesProgramLightinAction #12;Industrial Affiliates Program Friday, 8 Session I Abstract: Recently Additive Manufacturing (AM) has been hailed as the "third industrial revolution" by Economist magazine [April -2012]. Precision of the product manufactured by AM largely depends

Van Stryland, Eric

373

Model documentation report: Industrial sector demand module of the National Energy Modeling System  

SciTech Connect (OSTI)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

NONE

1997-01-01T23:59:59.000Z

374

NETL: Industrial Capture & Storage  

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

Industrial Capture & Storage Industrial Capture & Storage Technologies Industrial Capture & Storage The United States Department of Energy, National Energy Technology Laboratory (DOE/NETL, or DOE) is currently implementing a program titled "Carbon Capture and Sequestration from Industrial Sources and Innovative Concepts for Beneficial CO2 Use." This CO2 Capture and Sequestration (CCS) and CO2 use program is a cost-shared collaboration between the Government and industry whose purpose is to increase investment in clean industrial technologies and sequestration projects. In accordance with the American Recovery and Reinvestment Act of 2009, and Section 703 of Public Law 110-140, DOE's two specific objectives are to demonstrate: (1) Large-Scale Industrial CCS projects from industrial sources, and (2) Innovative Concepts for beneficial CO2 use.

375

LCA experiences in Danish industry  

Science Journals Connector (OSTI)

A study has been performed on Danish industrys experiences with LCA. Twenty-six enterprises from different sectors conpleted ... learning phase, and experiences with full-blown LCAs are sparse. Expectations of ...

Ole Broberg; Per Christensen

1999-09-01T23:59:59.000Z

376

Energy Efficient Industrial Building Design  

E-Print Network [OSTI]

The design of industrial buildings today is still largely unaffected by energy legislation and building technologies. The present corporate tax structures for industry do little to encourage investment of capital for future operating cost savings...

Holness, G. V. R.

1983-01-01T23:59:59.000Z

377

Solar Industrial Process Heat Production  

Science Journals Connector (OSTI)

An overview of state of the art in producing industrial process heat via solar energy is presented. End-use matching methodology for assessing solar industrial process heat application potential is described f...

E. zil

1987-01-01T23:59:59.000Z

378

Industrial Heat Pump Design Options  

E-Print Network [OSTI]

There are numerous industries that can incorporate heat pumps into their operations to save energy costs and payoff the investment in well under two years. Many of these industries can cut energy costs associated with evaporation by over 75...

Gilbert, J. S.

379

Texas Industries of the Future  

E-Print Network [OSTI]

The purpose of the Texas Industries of the Future program is to facilitate the development, demonstration and adoption of advanced technologies and adoption of best practices that reduce industrial energy usage, emissions, and associated costs...

Ferland, K.

380

Empirical essays in industrial organization  

E-Print Network [OSTI]

In this dissertation, I present three empirical essays that encompass topics in industrial organization. The first essay examines the degree of competition and spatial differentiation in the retail industry by exploiting ...

Chiou, Lesley C

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

High Technology and Industrial Systems  

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

Semiconductor clean room Semiconductor clean room High Technology and Industrial Systems EETD's research on high technology buildings and industrial systems is aimed at reducing energy consumed by the industrial sector in manufacturing facilities, including high technology industries such as data centers, cleanrooms in the such industries as electronics and pharmaceutical manufacturing, and laboratories, improving the competitiveness of U.S. industry. Contacts William Tschudi WFTschudi@lbl.gov (510) 495-2417 Aimee McKane ATMcKane@lbl.gov (518) 782-7002 Links High-Performance Buildings for High-Tech Industries Industrial Energy Analysis Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends

382

Innovative Utility Pricing for Industry  

E-Print Network [OSTI]

INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

Ross, J. A.

383

EPRI's Industrial Energy Management Program  

E-Print Network [OSTI]

EPRI's INDUSTRIAL ENERGY MANAGEMENT PROGRAM ED MERGENS MANAGER EPRI's CHEMICALS & PETROLEUM OFFICE HOUSTON, TEXAS ABSTRACT The loss of American industry jobs to foreign competition is made worse by national concerns over fuels combustion... and other industrial activity effects on our environment. Energy efficiency programs and new electrical processes can playa major role in restoring the environment and in creating a stronger industrial sector in the national economy. Since 1984...

Mergens, E.; Niday, L.

384

PETROLEUM INDUSTRY INFORMATION REPORTING ACT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION PETROLEUM INDUSTRY INFORMATION REPORTING ACT: RULEMAKING;1 EXECUTIVE SUMMARY In the six months since the new Petroleum Industry Information Reporting Act (PIIRA which is used by the petroleum industry and market trading groups to assess the trends in California

385

Creating Value Wood Products Industry  

E-Print Network [OSTI]

and an information dissemination plan. The program areas are Industrial Process Improvement, Environmental Assessment1 Creating Value for the Wood Products Industry Creating Value for the Wood Products Industry Louisiana Forest Products Development Center #12;2 Louisiana is blessed with quality timberland

386

Design of fast output sampling feedback control for smart structure model  

Science Journals Connector (OSTI)

In this paper, the problem of modelling and output feedback control design for a smart structural system using piezoelectric material as a sensor/actuator is addressed. The model for a smart cantilever beam is developed by the finite element method. ... Keywords: output feedback, smart structure, vibration control

M. Umapathy; B. Bandyopadhyay

2007-01-01T23:59:59.000Z

387

Estimating Solar PV Output Using Modern Space/Time Geostatistics (Presentation)  

SciTech Connect (OSTI)

This presentation describes a project that uses mapping techniques to predict solar output at subhourly resolution at any spatial point, develop a methodology that is applicable to natural resources in general, and demonstrate capability of geostatistical techniques to predict the output of a potential solar plant.

Lee, S. J.; George, R.; Bush, B.

2009-04-29T23:59:59.000Z

388

PWM Inverter Output Filter Cost to Losses Trade Off and Optimal Design  

E-Print Network [OSTI]

PWM Inverter Output Filter Cost to Losses Trade Off and Optimal Design Robert J. Pasterczyk Jean--This paper describes how to design the output filter of a PWM inverter used in a Uninterruptible Power SupplyVA 3-ph. PWM inverter is taken as example. B. Design Constraints Uninterruptible Power Supply (UPS

Paris-Sud XI, Université de

389

Quality assurance of solar thermal systems with the ISFH-Input/Output-Procedure  

E-Print Network [OSTI]

. Supplementary sensors may be necessary for some special solar systems (e. g. solar systems with several storagesQuality assurance of solar thermal systems with the ISFH- Input/Output-Procedure Peter Paerisch/Output-Controllers for in situ and automatic function control of solar thermal systems that were developed within the research

390

A Method of Decreasing Power Output Fluctuation of Solar Chimney Power Generating Systems  

Science Journals Connector (OSTI)

Severe fluctuation of power output is a common problem in the various generating systems of renewable energies. The hybrid energy storage system with water and soil is adopted to decrease the fluctuation of solar chimney power generating systems in the ... Keywords: Solar chimney power generating system, power output fluctuation, hybrid energy storage layer, collector, chimney

Meng Fanlong; Ming Tingzhen; Pan Yuan

2011-01-01T23:59:59.000Z

391

Statistical post processing of model output from the air quality model LOTOS-EUROS  

E-Print Network [OSTI]

Statistical post processing of model output from the air quality model LOTOS-EUROS Annemiek processing of model output from the air quality model LOTOS-EUROS Author: Annemiek Pijnappel Supervisor summary Air quality forecasts are produced routinely, focusing on concentrations of polluting gases

Stoffelen, Ad

392

Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization and Integrated Control  

E-Print Network [OSTI]

1 Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization mechanical energy from human foot-strikes and explore its configuration and control towards optimized energy output. Dielectric Elastomers (DEs) are high-energy density, soft, rubber-like material

Potkonjak, Miodrag

393

Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu  

E-Print Network [OSTI]

Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu January 1, 2013 1 Introduction of solar panel: Routing the configuration between solar cells with a switch matrix. However, their result models and control policies for the optimal output of solar panels. The smallest unit on a solar panel

Lavaei, Javad

394

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation  

E-Print Network [OSTI]

Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproductions. With this paper, we take a computer science perspective on energy prediction based on weather data and analyze the important parameters as well as their correlation on the energy output. To deal with the interaction of the different parameters we use symbolic regression based on the genetic programming tool DataModeler. Our studies are carried out on publicly available weather and energy data for a wind farm in Australia. We reveal the correlation of the different variables for the energy output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly given weather data.

Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

2011-01-01T23:59:59.000Z

395

Method for leveling the power output of an electromechanical battery as a function of speed  

DOE Patents [OSTI]

The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range. 3 figs.

Post, R.F.

1999-03-16T23:59:59.000Z

396

Guardian Industries | Open Energy Information  

Open Energy Info (EERE)

Industries Industries Jump to: navigation, search Name Guardian Industries Place Auburn Hills, MI Website http://www.guardian.com/ References Results of NREL Testing (Glass Magazine)[1] Guardian News Archive[2] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Other Relationship Partnering Center within NREL Transportation Technologies and Systems Partnership Year 2002 LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Guardian Industries is a company located in Auburn Hills, MI. References ↑ "Results of NREL Testing (Glass Magazine)" ↑ "Guardian News Archive" Retrieved from "http://en.openei.org/w/index.php?title=Guardian_Industries&oldid=381719" Categories: Clean Energy Organizations

397

Coal Industry Annual 1995  

SciTech Connect (OSTI)

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 21 million short tons for 1995.

NONE

1996-10-01T23:59:59.000Z

398

Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS  

E-Print Network [OSTI]

of the Department of Energy's Office of Industrial Technologies, EIA extracted energy use infonnation from the Annual Energy Outlook (AEO) - 2000 (8) for each of the seven # The Pacific Northwest National Laboratory is operated by Battelle Memorial Institute...-6, 2000 NEMS The NEMS industrial module is the official forecasting model for EIA and thus the Department of Energy. For this reason, the energy prices and output forecasts used to drive the ITEMS model were taken from EIA's AEO 2000. Understanding...

Roop, J. M.; Dahowski, R. T

399

Colorado Industrial Challenge and Recognition Program | Department...  

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

Colorado Industrial Challenge and Recognition Program Colorado Industrial Challenge and Recognition Program This fact sheet offers details of the Colorado Industrial program state...

400

NETL: Industrial Capture & Storage  

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

1 1 Technologies Industrial Capture & Storage Area 1 Large-Scale Industrial CCS Program The United States Department of Energy, National Energy Technology Laboratory (DOE/NETL, or DOE) is currently implementing a program titled "Carbon Capture and Sequestration from Industrial Sources and Innovative Concepts for Beneficial CO2 Use." This CO2 Capture and Sequestration (CCS) and CO2 use program is a cost-shared collaboration between the Government and industry whose purpose is to increase investment in clean industrial technologies and sequestration projects. In accordance with the American Recovery and Reinvestment Act of 2009, and Section 703 of Public Law 110-140, DOE's two specific objectives are to demonstrate: (1) Large-Scale Industrial CCS projects from industrial sources, and (2) Innovative Concepts for beneficial CO2 use.

Note: This page contains sample records for the topic "gdp industrial output" 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

CHAPTER 12 - Source Data for the Manufacturing, Processing, and Mining Industries  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides an overview of the source data for the manufacturing, processing, and mining industries. The manufacturing sector is divided into a number of sectors for the purposes of input-output and may or may not include intermediate processing industries. In many developing countries, industries processing raw materials are the major part of this section of the economy, and final manufacturing industries may be few in number and type. Whatever method of classification is used, the general remarks on source data that follow is applied. Although both large and small businesses usually exist in manufacturing and processing, each industry is often dominated either by large or small businesses. One of the main sources of data is of tax returns for the larger businesses. No difficulty is experienced in obtaining grouped data processed in the taxation department which, when they reach the national income statistician, is in the form of a balancing account for the aggregate businesses covered. As with other sectors, it is important to obtain details of coverage in terms of the number of firms, physical output, or any other information that indicates what proportion of the industry is covered by these accounts.

CARLEEN O'LOUGHLIN

1971-01-01T23:59:59.000Z

402

Finding the quantum thermoelectric with maximal efficiency and minimal entropy production at given power output  

E-Print Network [OSTI]

We investigate the nonlinear scattering theory for quantum systems with strong Seebeck and Peltier effects, and consider their use as heat-engines and refrigerators with finite power outputs. This article gives detailed derivations of the results summarized in Phys. Rev. Lett. 112, 130601 (2014). It shows how to use the scattering theory to find (i) the quantum thermoelectric with maximum possible power output, and (ii) the quantum thermoelectric with maximum efficiency at given power output. The latter corresponds to a minimal entropy production at that power output. These quantities are of quantum origin since they depend on system size over electronic wavelength, and so have no analogue in classical thermodynamics. The maximal efficiency coincides with Carnot efficiency at zero power output, but decreases with increasing power output. This gives a fundamental lower bound on entropy production, which means that reversibility (in the thermodynamic sense) is impossible for finite power output. The suppression of efficiency by (nonlinear) phonon and photon effects is addressed in detail; when these effects are strong, maximum efficiency coincides with maximum power. Finally, we show in particular limits (typically without magnetic fields) that relaxation within the quantum system does not allow the system to exceed the bounds derived for relaxation-free systems, however a general proof of this remains elusive.

Robert S. Whitney

2015-01-28T23:59:59.000Z

403

Research Projects in Industrial Technology.  

SciTech Connect (OSTI)

The purpose of this booklet is to briefly describe ongoing and completed projects being carried out by Bonneville Power Administration's (BPA) Industrial Technology Section. In the Pacific Northwest, the industrial sector is the largest of the four consuming sectors. It accounted for thirty-nine percent of the total firm demand in the region in 1987. It is not easy to asses the conservation potential in the industrial sector. Recognizing this, the Northwest Power Planning Council established an objective to gain information on the size, cost, and availability of the conservation resource in the industrial sector, as well as other sectors, in its 1986 Power Plan. Specifically, the Council recommended that BPA operate a research and development program in conjunction with industry to determine the potential costs and savings from efficiency improvements in industrial processes which apply to a wide array of industrial firms.'' The section, composed of multidisciplinary engineers, provides technical support to the Industrial Programs Branch by designing and carrying out research relating to energy conservation in the industrial sector. The projects contained in this booklet are arranged by sector --industrial, utility, and agricultural -- and, within each sector, chronologically from ongoing to completed, with those projects completed most recently falling first. For each project the following information is given: its objective approach, key findings, cost, and contact person. Completed projects also include the date of completion, a report title, and report number.

United States. Bonneville Power Administration. Industrial Technology Section.

1990-06-01T23:59:59.000Z

404

Whitacre College of Engineering Industrial Engineering Department  

E-Print Network [OSTI]

Whitacre College of Engineering Industrial Engineering Department Department Chair and Professor of Industrial Engineering. The Industrial Engineering Department at Texas Tech University has a distinguished industrial engineering education and provide appropriate service to the department, university

Gelfond, Michael

405

Faculty of Engineering & Design Industrial Placements  

E-Print Network [OSTI]

Faculty of Engineering & Design Industrial Placements A guide for industry #12;Industrial placements The Faculty of Engineering & Design has built close links with engineering companies through research, projects, placements and graduate employees. We know that working with industry ensures our

Burton, Geoffrey R.

406

Levels of the Rab GDP dissociation inhibitor (GDI) are altered in the prenatal restrain stress mouse model of schizophrenia and are differentially regulated by the mGlu2/3 receptor agonists, LY379268 and LY354740  

Science Journals Connector (OSTI)

Abstract LY379268 and LY354740, two agonists of mGlu2/3 metabotropic glutamate receptors, display different potencies in mouse models of schizophrenia. This differential effect of the two drugs remains unexplained. We performed a proteomic analysis in cultured cortical neurons challenged with either LY379268 or LY354740. Among the few proteins that were differentially influenced by the two drugs, Rab GDP dissociation inhibitor-? (Rab GDI?) was down-regulated by LY379268 and showed a trend to an up-regulation in response to LY354740. In cultured hippocampal neurons, LY379268 selectively down-regulated the ? isoform of Rab GDI. Rab GDI inhibits the activity of the synaptic vesicle-associated protein, Rab3A, and is reduced in the brain of schizophrenic patients. We examined the expression of Rab GDI in mice exposed to prenatal stress (PRS mice), which have been described as a putative model of schizophrenia. Rab GDI? protein levels were increased in the hippocampus of PRS mice at postnatal days (PND)1 and 21, but not at PND60. At PND21, PRS mice also showed a reduced depolarization-evoked [3H]d-aspartate release in hippocampal synaptosomes. The increase in Rab GDI? levels in the hippocampus of PRS mice was reversed by a 7-days treatment with LY379268 (1 or 10mg/kg, i.p.), but not by treatment with equal doses of LY354740. These data strengthen the validity of PRS mice as a model of schizophrenia, and show for the first time a pharmacodynamic difference between LY379268 and LY354740 which might be taken into account in an attempt to explain the differential effect of the two drugs across mouse models.

Rosamaria Orlando; Marina Borro; Marta Motolese; Gemma Molinaro; Sergio Scaccianoce; Alessandra Caruso; Luigi di Nuzzo; Filippo Caraci; Francesco Matrisciano; Anna Pittaluga; Jerome Mairesse; Maurizio Simmaco; Robert Nistic; James A. Monn; Ferdinando Nicoletti

2014-01-01T23:59:59.000Z

407

X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof  

DOE Patents [OSTI]

An x-ray source assembly and method of operation are provided having enhanced output stability. The assembly includes an anode having a source spot upon which electrons impinge and a control system for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

Radley, Ian (Glenmont, NY); Bievenue, Thomas J. (Delmar, NY); Burdett, John H. (Charlton, NY); Gallagher, Brian W. (Guilderland, NY); Shakshober, Stuart M. (Hudson, NY); Chen, Zewu (Schenectady, NY); Moore, Michael D. (Alplaus, NY)

2008-06-08T23:59:59.000Z

408

industrial & systems (ISE) Industrial and Systems Engineers use engineering and business principles  

E-Print Network [OSTI]

70 industrial & systems (ISE) Industrial and Systems Engineers use engineering and business systems to help companies compete in today's global marketplace. The Industrial and Systems Engineer. Programs Available · Industrial and Systems Engineering Bachelor of Science 129 units · Industrial

Rohs, Remo

409

industrial & systems (ISE) Industrial and Systems engineers use engineering and business principles  

E-Print Network [OSTI]

74 industrial & systems (ISE) Industrial and Systems engineers use engineering and business to help companies compete in today's global marketplace. The Industrial and Systems engineer's task. Programs Available · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial

Rohs, Remo

410

Zoe Industries, Inc.  

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

Issued: February 9, 2012 Issued: February 9, 2012 BEFORE THE U.S. DEPARTMENT OF ENERGY WASHINGTON, D.C. 20585 ) ) ) ) ) ORDER Case Number: 2011-SW-2912 By the General Counsel, U.S. Department of Energy: 1. In this Order, I adopt the attached Compromise Agreement entered into between the U.S. Department of Energy ("DOE") and Zoe Industries, Inc. ("Respondent"). The Compromise Agreement resolves the case initiated against Respondent pursuant to 10 C.F.R. § 429.122 by Notice of Proposed Civil Penalty, alleging that Respondent distributed in commerce in the United States the Giessdorf eight-jet basic model showerhead, SKU 150043, which failed to meet the applicable standard for water usage. See 10 C.F.R. § 430.32(p). 2. The DOE and Respondent have negotiated the terms of the Compromise Agreement

411

ESCO Industry in China  

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

ESCO Development in ESCO Development in China China-America EE Forum 2011.5.6, S.F Contents Fast development 1 Great potential 2 Opportunities & Challenges 3 Function of EMCA 4 China Energy Conservation project  Officially started in 1998;  It is a key international cooperation project in the field of energy conservation by Chinese government and World Bank/GEF;  The main purpose of the project is to promote Energy Performance Contracting (EPC) mechanism and develop ESCO industry in China Project progress-1 st phase 3 pilot ESCOs: Beijing Liaoning Shandong Phase I EC information Dissemination Center(ECIDC) Project progress-2 nd phase EMCA Phase II I& G New and Potential ESCOs Technical support Financial support Project Progress- 2 nd Phase EMCA---provide practical technical

412

Zoe Industries, Inc.  

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

D.C. 20585 D.C. 20585 ) ) ) ) ) Case Number: 2011-SW-2912 Issued: September 28, 2011 NOTICE OF NONCOMPLIANCE DETERMINATION Manufacturers and private labelers are prohibited from distributing covered products that do not comply with applicable Federal water conservation standards. 10 C.F.R. § 429.102; 42 U.S.C. § 6302. On July 20, 2011, DOE tested four units of the Giessdorf eight-jet basic model showerhead, SKU 150043 ("Giessdorf 150043"), manufactured by GiessdorfPlumbing, Inc. ("Giessdorf"), and imported by Zoe Industries, Inc. ("Zoe"), in accordance with DOE test procedures (10 C.F.R. Part 430, Subpart B, Appendix S). DOE's testing demonstrated that the Giessdorf 150043 model is not in compliance with Federal law. First, Federal water conservation standards require that the water flow for a showerhead

413

End User Perspective - Industrial  

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

Solid State Research Center Solid State Research Center DOE Fuel Cell Portable Power Workshop End User Perspective - Industrial Consumer Electronics Power (< 20-50W) Department of Energy Fuel Cell Portable Power Workshop Jerry Hallmark Manager Energy Technologies Lab Motorola Labs Solid State Research Center DOE Fuel Cell Portable Power Workshop Outline * Energy & Power of Portable Devices * Fuel Cell Applications & Cost * Key Requirements & Challenges * Fuels for Portable Fuel Cells * Fuel Transportation Regulations and Standards * Methanol Fuel Cells - Direct Methanol Fuel Cells - Reformed Methanol Fuel Cells * Technical Challenges 2 Solid State Research Center DOE Fuel Cell Portable Power Workshop Portable Electronics Yearly Energy Usage  :KU 1990 1980  :KU

414

Rebuttal: Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

9. 6. Angell M. The pharmaceutical industry: To whom is ithas shown that the pharmaceutical industry has profited some

Stone, Susan; Herbert, Mel

2003-01-01T23:59:59.000Z

415

ITP Industrial Materials: Development and Commercialization of...  

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

Industrial Materials: Development and Commercialization of Alternative Carbon Fiber Precursors and Conversion Technologies ITP Industrial Materials: Development and...

416

industrial sector | OpenEI  

Open Energy Info (EERE)

industrial sector industrial sector Dataset Summary Description Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords 2008 biomass consumption industrial sector Data application/vnd.ms-excel icon industrial_biomass_energy_consumption_and_electricity_2008.xls (xls, 27.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

417

User Facilities for Industry 101  

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

Satellite!Workshop!10!-!User!Facilities!for!Industry!101! Satellite!Workshop!10!-!User!Facilities!for!Industry!101! Organizers:+Andreas+Roelofs+(CNM),+Jyotsana+Lal+(APS),+Katie+Carrado+Gregar+(CNM),+and+Susan+Strasser+ (APS)! ! In! order! to! increase! awareness! of! the! industrial! community! to! Argonne! National! Laboratory! user! facilities,!the!Advanced!Photon!Source!(APS),!the!Center!for!Nanoscale!Materials!(CNM)!and!the!Electron! Microscopy!Center!(EMC)!welcomed!industrial!scientists,!engineers!and!related!professionals!to!a!oneC day! workshop! to! learn! more! about! Argonne's! National! Laboratory! and! the! capabilities/techniques! available! for! their! use.! The! workshop! showcased! several! successful! industrial! user! experiments,! and! explained! the! different! ways! in! which! industrial! scientists! can! work! at! Argonne! or! with! Argonne!

418

Industry Profile | Department of Energy  

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

Industry Profile Industry Profile Industry Profile November 1, 2013 - 11:40am Addthis The largest energy consuming industrial sectors account for the largest share of CHP capacity; namely: Chemicals (30%), Petroleum Refining (17%), and Paper Products (14%). Other industrial sectors include: Commercial/Institutional (12%), Food (8%), Primary Metals (5%), Other Manufacturing (8%), and Other Industrial (6%). Combined heat and power (CHP)-sometimes referred to as cogeneration-involves the sequential process of producing and utilizing electricity and thermal energy from a single fuel. CHP is widely recognized to save energy and costs, while reducing carbon dioxide (CO2) and other pollutants. CHP is a realistic, near-term option for large energy efficiency improvements and significant CO2 reductions.

419

Industry Interactive Procurement System (IIPS)  

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

Industry Interactive Industry Interactive Industry Interactive Industry Interactive Procurement System Procurement System (IIPS) (IIPS) Douglas Baptist, Project Manager Information Management Systems Division US Department of Energy IIPS Functions Issue synopses, solicitations and related documents via the Internet Receive and Respond to Solicitation Specific Questions Receive proposal, bid or application information electronically Provide access to proposal information to authorized personnel through a web browser Conduct negotiations or obtain clarifications Issue award documents IIPS Security Security Plan in place and approved by DOE's Chief Information Officer System security tested by DOE's Computer Incident Advisory Capability team Security measures include: - Encryption on the IIPS server

420

Eolica Industrial | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Name: Eolica Industrial Place: Sao Paulo, Sao Paulo, Brazil Zip: 01020-901 Sector: Wind energy Product: Brazil based wind turbine steel towers and...

Note: This page contains sample records for the topic "gdp industrial output" 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

Industrial Carbon Capture Project Selections  

Broader source: Energy.gov [DOE]

Industrial Carbon Capture Project SelectionsSeptember 2, 2010These projects have been selected for negotiation of awards; final award amounts may vary.

422

Deaerators in Industrial Steam Systems  

Broader source: Energy.gov [DOE]

This tip sheet on deaerators provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

423

Energy Savings in Industrial Buildings  

E-Print Network [OSTI]

for deployment of energy savings technologies will be explored along with recommendations for policies to promote energy efficiency in industrial buildings....

Zhou, A.; Tutterow, V.; Harris, J.

424

FAQS Reference Guide Industrial Hygiene  

Broader source: Energy.gov [DOE]

This reference guide addresses the competency statements in the November 2007 edition of DOE-STD-1138-2007, Industrial Hygiene Functional Area Qualification Standard.

425

Industry Interactive Procurement System (IIPS)  

Broader source: Energy.gov [DOE]

Presentation on DOEs Industry Interactive Procurement System (IIPS) presented at the PEM fuel cell pre-solicitation meeting held May 26, 2005 in Arlington, VA.

426

Ventower Industries | Open Energy Information  

Open Energy Info (EERE)

Place: Monroe, Michigan Zip: 48161 Sector: Wind energy Product: Michigan-based wind turbine tower manufacturer. References: Ventower Industries1 This article is a stub. You...

427

Shrenik Industries | Open Energy Information  

Open Energy Info (EERE)

Maharashtra, India Zip: 416 109 Sector: Wind energy Product: Maharashtra-based wind turbine tower manufacturer and subsidiary of the Sanjay Ghodawat Group of Industries....

428

Industrial Facility Best Practice Scorecard  

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

BP Scorecard 20120620 ( 2012Georgia Tech Research Corporation) Superior Energy Performance CM Industrial Facility Best Practice Scorecard Rev. 9 5 December 2012 Replaces rev. 8...

429

Motech Industries | Open Energy Information  

Open Energy Info (EERE)

for Others) for this property. Partnering Center within NREL National Center for Photovoltaics Partnership Year 2008 Motech Industries is a company located in Bethlehem, Taiwan....

430

New Research Center to Increase Safety and Power Output of U.S. Nuclear  

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

New Research Center to Increase Safety and Power Output of U.S. New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors May 3, 2011 - 3:41pm Addthis Oak Ridge, Tenn. - Today the Department of Energy dedicated the Consortium for Advanced Simulation of Light Water Reactors (CASL), an advanced research facility that will accelerate the advancement of nuclear reactor technology. CASL researchers are using supercomputers to study the performance of light water reactors and to develop highly sophisticated modeling that will help accelerate upgrades at existing U.S. nuclear plants. These upgrades could improve the energy output of our existing reactor fleet by as much as seven reactors' worth at a fraction of the cost of building new reactors, while providing continued improvements in

431

Ensemble regression : using ensemble model output for atmospheric dynamics and prediction  

E-Print Network [OSTI]

Ensemble regression (ER) is a linear inversion technique that uses ensemble statistics from atmospheric model output to make dynamical inferences and forecasts. ER defines a multivariate regression operator using ensemble ...

Gombos, Daniel (Daniel Lawrence)

2009-01-01T23:59:59.000Z

432

Primate Motor Cortex: Individual and Ensemble Neuron-Muscle Output Relationships  

E-Print Network [OSTI]

The specific aims of this study were to: 1) investigate the encoding of forelimb muscle activity timing and magnitude by corticomotoneuronal (CM) cells, 2) test the stability of primary motor cortex (M1) output to forelimb ...

Griffin, Darcy Michelle

2008-07-30T23:59:59.000Z

433

Augmentation of Power Output of Axisymmetric Ducted Wind Turbines by Porous Trailing Edge Disks  

E-Print Network [OSTI]

This paper presents analytical and experimental results that demonstrated that the power output from a ducted wind turbine can be dramatically increased by the addition of a trailing edge device such as a porous disk. In ...

widnall, sheila

2014-06-30T23:59:59.000Z

434

A Hardware Implementation of the Soft Output Viterbi Algorithm for Serially Concatenated Convolutional Codes  

E-Print Network [OSTI]

This thesis outlines the hardware design of a soft output Viterbi algorithm decoder for use in a serially concatenated convolutional code system. Convolutional codes and their related structures are described, as well as the algorithms used...

Werling, Brett William

2010-06-28T23:59:59.000Z

435

Code design for multiple-input multiple-output broadcast channels  

E-Print Network [OSTI]

Recent information theoretical results indicate that dirty-paper coding (DPC) achieves the entire capacity region of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). This thesis presents practical code designs for Gaussian...

Uppal, Momin Ayub

2009-06-02T23:59:59.000Z

436

Cardiac output and stroke volume estimation using a hybrid of three models  

E-Print Network [OSTI]

Cardiac output (CO) and stroke volume (SV) are the key hemodynamic parameters to be monitored and assessed in ambulatory and critically ill patients. The purpose of this study was to introduce and validate a new algorithm ...

Arai, Tatsuya

437

Power output enhancement of a vibration-driven electret generator for wireless sensor applications  

Science Journals Connector (OSTI)

We developed a compact vibration-driven electret generator that excelled at a power output. It succeeded in the operation of wireless sensor modules only on electricity from electret generators. This electret generator can supply enough power to operate a wireless sensor module without an external power source. It was necessary for enabling this operation to enhance the power output of the electret generator. We enhanced the power output by decreasing the parasitic capacitance. To decrease the parasitic capacitance, we fabricated a collector substrate using concave electrodes. We decreased it from 25 to 17 pF. As a result, the power output from our generator was enhanced from 40 to 100 W considerably at an acceleration of 0.15 g (1.47 m s?2) and a resonance frequency of 30 Hz.

Tatsuakira Masaki; Kenji Sakurai; Toru Yokoyama; Masayo Ikuta; Hiroshi Sameshima; Masashi Doi; Tomonori Seki; Masatoshi Oba

2011-01-01T23:59:59.000Z

438

Variable-Speed Wind Generator System with Maximum Output Power Control  

Science Journals Connector (OSTI)

To achieve maximum output power from wind generator systems, the rotational speed of wind generators should be adjusted in real time according to natural wind speed. This chapter pays attention to an optimum rota...

Yoko Amano

2013-01-01T23:59:59.000Z

439

Department of Industrial Engineering Spring 2011 Armstrong World Industries, Inc  

E-Print Network [OSTI]

PENNSTATE Department of Industrial Engineering Spring 2011 Armstrong World Industries, Inc Overview The main objectives were the following: -To reduce wasted space and optimize the Armstrong Marietta plant generate? How did you analyse them? Outcomes Armstrong will save on forklift fuel costs as a result

Demirel, Melik C.

440

Imprinting a complete information about a quantum channel on its output state  

E-Print Network [OSTI]

We introduce a novel property of bipartite quantum states, which we call "faithfulness", and we say that a state is faithful when acting with a channel on one of the two quantum systems, the output state carries a complete information about the channel. The concept of faithfulness can also be extended to sets of states, when the output states patched together carry a complete imprinting of the channel.

Giacomo Mauro D'Ariano; Paoloplacido Lo Presti

2002-11-20T23:59:59.000Z

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


441

Modelling Dynamic Constraints in Electricity Markets and the Costs of Uncertain Wind Output  

E-Print Network [OSTI]

shifts between periods. Finally, higher variable costs, incurred if power stations are operated below their optimal rating, are allocated to the locally lowest de- mand. For inflexible power stations like nuclear, combined cycle gas turbines or coal... the start of the station has to be decided several hours before delivering output. At the earlier time there is still uncertainty about the future demand, possible failures of power stations and predictions for wind-output. We represent the uncertainty...

Musgens, Felix; Neuhoff, Karsten

2006-03-14T23:59:59.000Z

442

Implementation of SPC with FMEA in less-developed industries with a case study in car battery manufactory  

Science Journals Connector (OSTI)

Continuous improvement is an important aspect for companies to maintain their position in today's market, and process control can provide this capability for them. This study aims to facilitate implementing statistical process control (SPC) in less-developed industries. Due to reaching this goal, failure mode and effect analysis (FMEA) has been employed. FMEA helps the SPC implementation either in process selection or output analysis. Also, this integration has been applied in a car battery industry that is a less-developed industry as a case study. As a result, this paper provides an innovation to use engineering tools in some places which are not mature adequately.

Hadi Akbarzade Khorshidi; Indra Gunawan; Fathollah Esmaeilzadeh

2013-01-01T23:59:59.000Z

443

Techno-Economic Design Tools Used in Selecting Industrial Energy Recovery Systems  

E-Print Network [OSTI]

cost. output (245 kW) by the high-efficiency turb' ne. Assuming a $2.3-million installed cost differ The 38% rate of return after 5 years (47% aft 10 ential between the organic Rankine cycle/compressor years) is quite acceptable for companies looki.... These tools are the industrial heat pump program (IHOP) and the Rankine cycle power program (RANKCYCLE). IHOP is used if industrial process steam is the de sired energy form and if available heat sources consist either of hot water at 130-200 o F...

Hanus, N.

1982-01-01T23:59:59.000Z

444

Residential Commercial Industrial Year  

Gasoline and Diesel Fuel Update (EIA)

4 4 Residential Commercial Industrial Year and State Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers 2000 Total ................... 4,996,179 59,252,728 3,182,469 5,010,817 8,142,240 220,251 2001 Total ................... 4,771,340 60,286,364 3,022,712 4,996,446 7,344,219 217,026 2002 Total ................... 4,888,816 61,107,254 3,144,169 5,064,384 7,507,180 205,915 2003 Total ................... R 5,079,351 R 61,871,450 R 3,179,493 R 5,152,177 R 7,150,396 R 205,514 2004 Total ................... 4,884,521 62,469,142 3,141,653 5,135,985 7,250,634 212,191 Alabama ...................... 43,842 806,175 26,418 65,040 169,135 2,800 Alaska.......................... 18,200 104,360 18,373 13,999 46,580 10 Arizona ........................

445

Building A New Biofuels Industry  

Science Journals Connector (OSTI)

Building A New Biofuels Industry ... It may be another five years or more before the fledgling industry catches up to the lofty goals called for in the Renewable Fuel Standard (RFS)a federal-government-mandated schedule of yearly biofuel production targets. ...

MELODY M. BOMGARDNER

2013-01-28T23:59:59.000Z

446

The Wool Industries Research Association  

Science Journals Connector (OSTI)

... THE report of the Director of Research of Wool Industries Research Association briefly summarizes some of the research during the year in ... Industries Research Association briefly summarizes some of the research during the year in scouring and combing, woollen carding and spinning, worsted drawing and spinning and weaving (Publication ...

1963-06-15T23:59:59.000Z

447

Oklahoma Industrial Energy Management Program  

E-Print Network [OSTI]

The need for sound energy management is no longer worthy of debate. Action is necessary and much is being done by U.S. industry. Unfortunately, however, the majority of the work is being done by the few large energy intensive industries throughout...

Turner, W. C.; Webb, R. E.; Phillips, J. M.; Viljoen, T. A.

1979-01-01T23:59:59.000Z

448

College of Engineering Industrial Engineering  

E-Print Network [OSTI]

College of Engineering Industrial Engineering Core 2.0 Completion Checklist Industrial Engineering) 6 Research and Creative Experience R EIND 499R (I&ME 444 R and I&ME 445 R) Note: Courses completed Social Sciences; * EGEN 310 (ENGR 310), Multidisciplinary Engineering Design, may be substituted

Dyer, Bill

449

Industrial Use of Infrared Inspections  

E-Print Network [OSTI]

, but in the final analysis it comes down to the fact that the industrial management responsible for the operations and production budgets did not, and in many cases, still does not understand the economic benefits to the company that infrared industrial inspections...

Duch, A. A.

1979-01-01T23:59:59.000Z

450

Minerals yearbook, Volume 3. Mineral industries of the Middle East. 1993 international review  

SciTech Connect (OSTI)

The production and processing of crude petroleum and natural gas are the dominant economic sectors of the Middle East. Development of downstream petrochemical and fertilizer industries continues as a major investment area. In 1993, the 15 countries that constituted the region accounted for 29% of world crude petroleum output, 19% of world natural gas plant liquid production, and 6% of world dry natural gas production. Only Cyprus and Lebanon were not crude petroleum producers.

NONE

1993-12-31T23:59:59.000Z

451

Electronics Industry: Markets & Issues  

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

Electronics Industry: Markets & Issues Electronics Industry: Markets & Issues Speaker(s): William M. Smith Date: March 17, 1998 - 12:00pm Location: 90-3148 Seminar Host/Point of Contact: Richard Sextro Electronics represents a unique opportunity to get in on the beginning of an incredible growth spurt, for an already huge industry; $400 billion/year in the U.S. now, moving up by 10%-20% per year in several sectors. This is quite unlike many other U.S. industrial sectors, which often involve mature businesses requiring assistance to stay afloat. The potential for forming business partnerships with electronics firms to deal with issues in energy efficiency, water availability/quality, air quality, productivity/yield, HVAC, power quality, wastewater, air emissions, etc., is staggering. The industrys oligopic nature provides serious opportunities

452

The effect of small field output factor measurements on IMRT dosimetry  

SciTech Connect (OSTI)

Purpose: To evaluate how changes in the measured small field output factors affect the doses in intensity-modulated treatment planning. Methods: IMRT plans were created using Philips Pinnacle treatment planning system. The plans were optimized to treat a cylindrical target 2 cm in diameter and 2 cm in length. Output factors for 2 Multiplication-Sign 2 and 3 Multiplication-Sign 3 cm{sup 2} field sizes were changed by {+-}5%, {+-}10%, and {+-}20% increments from the baseline measurements and entered into the planning system. The treatment units were recommissioned in the treatment planning system after each modification of the output factors and treatment plans were reoptimized. All plans were delivered to a solid water phantom and dose measurements were made using an ionization chamber. The percentage differences between measured and computed doses were calculated. An Elekta Synergy and a Varian 2300CD linear accelerator were separately evaluated. Results: For the Elekta unit, decreasing the output factors resulted in higher measured than computed doses by 0.8% for -5%, 3.6% for -10%, and 8.7% for -20% steps. Increasing the output factors resulted in lower doses by 2.9% for +5%, 5.4% for +10%, and 8.3% for +20% steps. For the Varian unit no changes were observed for either increased or decreased output factors. Conclusions: The measurement accuracy of small field output factors are of importance especially when the treatment plan consists of small segments as in IMRT. The method proposed here could be used to verify the accuracy of the measured small field output factors for certain linear accelerators as well as to test the beam model. The Pinnacle treatment planning system model uses output factors as a function of jaw setting. Consequently, plans using the Elekta unit, which conforms the jaws to the segments, are sensitive to small field measurement accuracy. On the other hand, for the Varian unit, jaws are fixed and segments are modeled as blocked fields hence, the impact of small field output factors on IMRT monitor unit calculation is not evaluable by this method.

Azimi, Rezvan; Alaei, Parham; Higgins, Patrick [Department of Therapeutic Radiology-Radiation Oncology, University of Minnesota, Minneapolis, Minnesota 55455 (United States)

2012-08-15T23:59:59.000Z

453

The effect of performance-based research funding on output of R&D results in the Czech Republic  

Science Journals Connector (OSTI)

We have studied the effects of performance-based research funding introduced to the Czech (CZ) R&D system in 2008 on outputs of R&D results. We have analyzed annual changes in number of various types of publications and applications including ... Keywords: Bibliometrics, Citation analysis, Patent output, Performance-based research funding, R&D results output

Jiri Vanecek

2014-01-01T23:59:59.000Z

454

Carbon dioxide emissions intensity of Portuguese industry and energy sectors: A convergence analysis and econometric approach  

Science Journals Connector (OSTI)

Abstract Given the relevance of energy and pollution issues for industrialised countries and the importance of industry and energy sectors to the achievement of their economic and environmental goals, it is important to know if there is a common pattern of emissions intensity, fuel intensity and energy intensity, between industries, to know if it justifies a more specific application of energy policies between sectors, which sectors have the greatest potential for reducing energy use and which are the long term effects of those specific variables on the mitigation of emissions. We found that although there is literature on decomposition of effects that affect emissions, the study of the convergence and of the relationships between these variables does not include ratios or effects that result from the decomposition analysis. Thus, the above questions are not answered, much less for the Portuguese reality. The purpose of this paper is to study: (i) the existence of convergence of some relevant ratios as Carbon Dioxide (CO2) emissions intensity, CO2 emissions by fossil fuel consumption, fossil fuel intensity, energy intensity and economic structure, between industry and energy sectors in Portugal, and (ii) the influence that the consumption of fossil fuels, the consumption of aggregate energy and GDP have on CO2 emissions, and the influence that the ratios in which CO2 emissions intensity decomposes can affect that variable, using an econometric approach, namely Panel corrected standard errors estimator. We concluded that there is sigma convergence for all ratios with exception of fossil fuel intensity. Gamma convergence verifies for all ratios, with exception of CO2 emissions by fossil fuel. From the econometric approach we concluded that the considered variables have a significant importance in explaining CO2 emissions and CO2 emissions intensity.

Victor Moutinho; Margarita Robaina-Alves; Jorge Mota

2014-01-01T23:59:59.000Z

455

Advanced Manufacturing Office: Industrial Assessment Centers (IACs)  

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

Industrial Assessment Industrial Assessment Centers (IACs) to someone by E-mail Share Advanced Manufacturing Office: Industrial Assessment Centers (IACs) on Facebook Tweet about Advanced Manufacturing Office: Industrial Assessment Centers (IACs) on Twitter Bookmark Advanced Manufacturing Office: Industrial Assessment Centers (IACs) on Google Bookmark Advanced Manufacturing Office: Industrial Assessment Centers (IACs) on Delicious Rank Advanced Manufacturing Office: Industrial Assessment Centers (IACs) on Digg Find More places to share Advanced Manufacturing Office: Industrial Assessment Centers (IACs) on AddThis.com... Industrial Assessment Centers (IACs) Learn More Learn how companies have benefited from IAC assessments. Search the IAC Database for recommendations and savings achieved.

456

The industrial ecology of the iron casting industry  

E-Print Network [OSTI]

Metal casting is an energy and materials intensive manufacturing process, which is an important U.S. industry. This study analyzes iron casting, in particular, for possible improvements that will result in greater efficiencies ...

Jones, Alissa J. (Alissa Jean)

2007-01-01T23:59:59.000Z

457

Office of Industry Research and Technology Programs Greetings to Industry  

E-Print Network [OSTI]

vehicles. They have a strong research base and are sup- ported by the U. S. Department of Energy. They have. Cheng, Industrial Engineering. 6 Centers/Laboratories Center Targets Reducing Fuel Consumption

Ginzel, Matthew

458

UNDERGRADUATE DEGREES Industrial and Systems Engineering  

E-Print Network [OSTI]

UNDERGRADUATE DEGREES Industrial and Systems Engineering The Bachelor's Degree in Industrial, consulting at amusement parks, analyzing systems, and beyond. SYSTEMS ScIENcE AND INDUSTRIAl ENGINEERING of Engineering in Industrial Engineering (MEng IE) equips graduates to be effective in industry and provides

Suzuki, Masatsugu

459

A numerical method for calculation of power output from ducted vertical axis hydro-current turbines  

Science Journals Connector (OSTI)

Abstract This paper investigates effects of ducting on power output from vertical axis hydro-current turbines. A numerical two-dimensional method based on the potential flow theory is developed for calculation of non-dimensional power output from these turbines. In this method, the blades are represented by vortex filaments. The vortex shedding from the blades is modeled by discrete vortices. A boundary element method is used to incorporate the duct shape which is represented by a series of panels with constant distributions of sources and doublets. The aerodynamic loading on the blades are calculated using a quasi-steady modeling. A time-marching scheme is used for implementation of the numerical method. The results of this method are compared with experimental results for a turbine model. A good correlation between the numerical and experimental results is obtained for tip speed ratios equal and higher than 2.25. However due to a lack of dynamic stall modeling, the numerical method is not able to predict power output accurately at lower tip speed ratios wherein effects of dynamic stall are significant. Both numerical and experimental results also showed that the power output from a turbine can increase significantly when it is enclosed within a well-designed duct. The maximum power output of the turbine model investigated in this paper showed a 74% increase when the turbine is operating within the duct relative to the case it is in free-stream conditions.

Mahmoud Alidadi; Sander Calisal

2014-01-01T23:59:59.000Z

460

SAS Output  

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

B. U.S. Transformer Sustained Automatic Outage Counts B. U.S. Transformer Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2012 Sustained Automatic Outage Counts High-Side Voltage (kV) Eastern Interconnection TRE WECC Contiguous U.S. 100-199 -- -- -- -- 200-299 -- -- 1.00 1.00 300-399 2.00 -- 4.00 6.00 400-599 14.00 -- 11.00 25.00 600+ -- -- -- -- Grand Total 16.00 -- 16.00 32.00 Sustained Automatic Outage Hours High-Side Voltage (kV) Eastern Interconnection TRE WECC Contiguous U.S. 100-199 -- -- -- -- 200-299 -- -- 27.58 27.58 300-399 153.25 -- 15.87 169.12 400-599 3,070.88 -- 258.37 3,329.25 600+ -- -- -- -- Grand Total 3,224.13 -- 301.82 3,525.95 Outage Hours per Outage Incident Eastern Interconnection TRE WECC Contiguous U.S.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

6. Coal Consumption at Commercial and Institutional Users by Census Division and State" 6. Coal Consumption at Commercial and Institutional Users by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "Middle Atlantic",20,52,24,73,83,-12.4 " Pennsylvania",20,52,24,73,83,-12.4 "East North Central",112,197,127,309,331,-6.8 " Illinois",34,45,29,79,66,18.9 " Indiana","w","w","w","w","w","w" " Michigan","w","w","w","w","w","w"

462

SAS Output  

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

Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2012" Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2012" ,"Mine Production Range (thousand short tons)" "Coal-Producing State, Region1","Above 1,000","Above 500","Above 200","Above 100","Above 50","Above 10","Above 0","Zero2","Total Number" "and Mine Type",,"to 1,000","to 500","to 200","to 100","to 50","to 10",,"of Employees" "Alabama",3415,97,655,317,160,224,54,105,5041 " Underground",2981,"-","-","-",36,88,"-",81,3190 " Surface",434,97,655,317,124,136,54,24,1851

463

SAS Output  

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

8. Average Sales Price of Coal by State and Mine Type, 2012 and 2011" 8. Average Sales Price of Coal by State and Mine Type, 2012 and 2011" "(dollars per short ton)" ,2012,,,2011,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",107.73,104.51,106.57,100.17,108.71,102.69,7.6,-3.9,3.8 "Alaska","-","w","w","-","w","w","-","w","w" "Arizona","-","w","w","-","w","w","-","w","w" "Arkansas","w","-","w","w","-","w","w","-","w"

464

SAS Output  

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

Underground Coal Production by State and Mining Method, 2012" Underground Coal Production by State and Mining Method, 2012" "(thousand short tons)" "Coal-Producing State and Region1","Continuous2","Conventional and","Longwall4","Total" ,,"Other3" "Alabama",139,20,12410,12570 "Arkansas",96,"-","-",96 "Colorado",757,"-",22889,23646 "Illinois",18969,"-",23868,42837 "Indiana",15565,"-","-",15565 "Kentucky Total",56179,2018,"-",58198 " Kentucky (East)",22090,2010,"-",24100 " Kentucky (West)",34089,9,"-",34098 "Maryland",797,"-","-",797 "Montana","-","-",5708,5708

465

SAS Output  

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

Coal Mining Productivity by State, Mine Type, and Union Status, 2012" Coal Mining Productivity by State, Mine Type, and Union Status, 2012" "(short tons produced per employee hour)" ,"Union",,"Nonunion" "Coal-Producing State and Region1","Underground","Surface","Underground","Surface" "Alabama",1.69,"-",0.66,1.8 "Alaska","-",5.98,"-","-" "Arizona","-",7.38,"-","-" "Arkansas","-","-",0.59,"-" "Colorado",4.9,6.09,6.02,4.45 "Illinois",2.09,"-",5.34,4.7 "Indiana","-","-",3.23,5.41 "Kentucky Total",3.02,2.45,2.36,3.06 " Kentucky (East)","-",2.45,1.64,2.65

466

SAS Output  

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

Average Sales Price of U.S. Coal by State and Disposition, 2012" Average Sales Price of U.S. Coal by State and Disposition, 2012" "(dollars per short ton)" "Coal-Producing State","Open Market1","Captive2","Total3" "Alabama",85.06,"-",106.57 "Alaska","w","-","w" "Arizona","w","-","w" "Arkansas","w","-","w" "Colorado",38.51,43.19,37.54 "Illinois",49.04,54.71,53.08 "Indiana",49.16,54.5,52.01 "Kentucky Total",61.85,73.08,63.12 " Kentucky (East)",75.8,73.08,75.62 " Kentucky (West)",48.6,"-",48.67 "Louisiana","w","-","w"

467

SAS Output  

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

5. Emissions from Energy Consumption at 5. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants, by State, 2011 and 2012 (Thousand Metric Tons) Census Division and State Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 34,766 37,698 33 58 39 37 Connecticut 8,987 8,196 7 1 12 6 Maine 3,722 4,351 8 12 7 8 Massachusetts 14,346 16,404 15 22 14 14 New Hampshire 4,295 5,127 2 23 4 5 Rhode Island 3,403 3,595 0.03 0.07 2 3 Vermont 12 24 0.05 0.09 1 1 Middle Atlantic 161,786 171,603 275 370 187 203 New Jersey 16,120 16,917 4 5 14 13 New York 35,669 37,256 31 52 40 43 Pennsylvania 109,997 117,430 240 313 133 147

468

SAS Output  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2012 and 2011" Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2012 and 2011" "(million short tons)" ,2012,,2011 "Coal-Producing","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery","Percent Change" "State","Reserves","Percentage","Reserves","Percentage","Recoverable Coal" ,,,,,"Reserves" "Alabama",265,53.63,306,55.39,-13.2 "Alaska","w","w","w","w","w" "Arizona","w","w","w","w","w" "Arkansas","w","w","w","w","w"

469

SAS Output  

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

1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2002 141,714 43,935 1,711 116,952 29,601 328 24,761 14,334 1,383 2003 121,567 45,752 1,484 97,831 28,062 378 23,736 17,691 1,105 2004 106,669 46,750 937 84,917 29,144 627 21,751 17,607 309 2005 101,137 47,414 530 77,457 29,532 374 23,680 17,882 156 2006 140,964 48,216 674 110,277 29,799 456 30,688 18,416 217

470

SAS Output  

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

A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2012 Sustained Automatic Outage Counts Voltage Region Type Operating (kV) FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. AC 200-299 142 49 14 141 242 49 -- 484 1,121 AC 300-399 -- 88 107 95 46 56 80 165 637 AC 400-599 9 3 -- 22 86 -- -- 125 245 AC 600+ -- -- 6 9 -- -- -- -- 15 AC Total 151 140 127 267 374 105 80 774 2,018 DC 100-199 -- -- -- -- -- -- -- -- -- DC 200-299 -- 18 -- -- -- -- -- 5 23 DC 300-399 -- -- -- -- -- -- -- -- -- DC 400-499 -- 5 -- -- -- -- -- -- 5 DC 500-599 -- -- -- 5 -- -- -- 17 22 DC 600+ -- -- -- -- -- -- -- -- --

471

SAS Output  

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

Sales Price of Coal by State and Underground Mining Method, 2012" Sales Price of Coal by State and Underground Mining Method, 2012" "(dollars per short ton)" "Coal-Producing State","Continuous1","Conventional and","Longwall3","Total" ,,"Other2" "Alabama","w","-","w",107.73 "Arkansas","w","-","-","w" "Colorado","w","-",37.18,"w" "Illinois",48.08,"-",59.51,54.18 "Indiana",52.94,"-","-",52.94 "Kentucky Total","w","w","-",62.24 " Kentucky (East)","w","w","-",79.23 " Kentucky (West)",50.18,"-","-",50.18

472

SAS Output  

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

Steam Coal Exports by Customs District" Steam Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Eastern Total",4951041,5566950,6554494,10517991,11407664,-7.8 " Baltimore, MD",1275530,831976,1715016,2107506,2852092,-26.1 " Boston, MA",7,"-",12,7,24,-70.8 " Buffalo, NY",1180,1516,2826,2696,5257,-48.7 " New York City, NY",3088,2664,2168,5752,6106,-5.8 " Norfolk, VA",3578715,4697769,4760354,8276484,8443756,-2 " Ogdensburg, NY",36894,3610,3090,40504,6838,492.3 " Philadelphia, PA",55513,29255,34241,84768,56733,49.4

473

SAS Output  

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

and Number of Mines by State, County, and Mine Type, 2012" and Number of Mines by State, County, and Mine Type, 2012" "(thousand short tons)" ,"Underground",,"Surface",,"Total" "Coal-Producing","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production" "State and County" "Alabama",8,12570,38,6752,46,19321 " Bibb","-","-",2,119,2,119 " Blount","-","-",2,236,2,236 " Fayette",1,2249,"-","-",1,2249 " Franklin","-","-",2,137,2,137 " Jackson","-","-",3,152,3,152 " Jefferson",3,3589,9,1106,12,4695

474

SAS Output  

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

2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2012 2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2012 (Btu per Kilowatthour) Prime Mover Coal Petroluem Natural Gas Nuclear 2007 Steam Generator 10,158 10,398 10,440 10,489 Gas Turbine -- 13,217 11,632 -- Internal Combustion -- 10,447 10,175 -- Combined Cycle W 10,970 7,577 -- 2008 Steam Generator 10,138 10,356 10,377 10,452 Gas Turbine -- 13,311 11,576 -- Internal Combustion -- 10,427 9,975 -- Combined Cycle W 10,985 7,642 -- 2009 Steam Generator 10,150 10,349 10,427 10,459 Gas Turbine -- 13,326 11,560 -- Internal Combustion -- 10,428 9,958 -- Combined Cycle W 10,715 7,605 -- 2010 Steam Generator 10,142 10,249 10,416 10,452 Gas Turbine -- 13,386 11,590 -- Internal Combustion -- 10,429 9,917 --

475

SAS Output  

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

0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2002 - 2012 (continued) 0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 0 0 -- -- -- -- 18,671 18,256 3.44 3.52 24.7 3.03 2003 0 0 -- -- -- 0.0 18,169 17,827 4.96 5.06 30.5 4.02 2004 0 0 -- -- -- 0.0 16,176 15,804 5.93 6.07 21.9 4.58 2005 0 0 -- -- -- 0.0 17,600 17,142 8.38 8.60 25.2 6.25 2006 0 0 -- -- -- 0.0 21,369 20,819 8.33 8.55 30.7 6.42

476

SAS Output  

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

3.A. Net Generation by Energy Source: Independent Power Producers, 2002 - 2012 3.A. Net Generation by Energy Source: Independent Power Producers, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 395,943 22,241 8,368 378,044 1,763 272,684 18,189 44,466 -1,309 8,612 1,149,001 2003 452,433 35,818 7,949 380,337 2,404 304,904 21,890 46,060 -1,003 8,088 1,258,879 2004 443,547 33,574 7,410 427,510 3,194 312,846 19,518 48,636 -962 7,856 1,303,129 2005 507,199 37,096 9,664 445,625 3,767 345,690 21,486 51,708 -1,174 6,285 1,427,346 2006 498,316 10,396 8,409 452,329 4,223 361,877 24,390 59,345 -1,277 6,412 1,424,421

477

SAS Output  

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

Average Price of U.S. Steam Coal Exports" Average Price of U.S. Steam Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",65.1,63.67,73.81,64.48,78.9,-18.3 " Canada*",59.34,55.22,63.02,57.57,73.63,-21.8 " Dominican Republic",78.47,74.41,73.89,75.4,76.61,-1.6 " Honduras","-",54.58,54.43,54.58,54.43,0.3 " Jamaica",480,54.43,"-",54.72,55.42,-1.3 " Mexico",69.42,73.33,82.64,70.83,86.44,-18.1 " Other**",80.33,389.3,70.37,82.45,76.1,8.3

478

SAS Output  

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

Coal Production by Coalbed Thickness and Mine Type, 2012" Coal Production by Coalbed Thickness and Mine Type, 2012" "(thousand short tons)" "Coal Thickness (inches)","Underground","Surface","Total" "Under 7","-",17,17 "7 - Under 13","-",2108,2108 "13 - Under 19",429,6688,7117 "19 - Under 25",111,14107,14217 "25 - Under 31",4147,12913,17060 "31 - Under 37",15128,19022,34150 "37 - Under 43",23868,17285,41153 "43 - Under 49",26035,15597,41632 "49 - Under 55",18909,22544,41453 "55 - Under 61",36946,11285,48231 "61 - Under 67",43146,15074,58220 "67 - Under 73",40983,8783,49766 "73 - Under 79",32914,10193,43107 "79 - Under 85",27011,3554,30565

479

SAS Output  

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

3. Carbon Dioxide Uncontrolled Emission Factors 3. Carbon Dioxide Uncontrolled Emission Factors Fuel EIA Fuel Code Source and Tables (As Appropriate) Factor (Pounds of CO2 Per Million Btu)*** Bituminous Coal BIT Source: 1 205.30000 Distillate Fuel Oil DFO Source: 1 161.38600 Geothermal GEO Estimate from EIA, Office of Integrated Analysis and Forecasting 16.59983 Jet Fuel JF Source: 1 156.25800 Kerosene KER Source: 1 159.53500 Lignite Coal LIG Source: 1 215.40000 Municipal Solid Waste MSW Source: 1 (including footnote 2 within source) 91.90000 Natural Gas NG Source: 1 117.08000 Petroleum Coke PC Source: 1 225.13000 Propane Gas PG Sources: 1 139.17800 Residual Fuel Oil RFO Source: 1 173.90600 Synthetic Coal SC Assumed to have the emissions similar to Bituminous Coal. 205.30000

480

SAS Output  

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

Coal Imports by Customs District" Coal Imports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "Eastern Total",469878,331008,156004,800886,350124,128.7 " Baltimore, MD","-","-",106118,"-",154318,"-" " Boston, MA",373985,154438,"-",528423,51185,"NM" " Buffalo, NY",44,"-","-",44,"-","-" " New York City, NY",1373,1402,487,2775,507,447.3 " Norfolk, VA","-",68891,"-",68891,35856,92.1 " Ogdensburg, NY","-",1,12,1,12,-91.7

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481

SAS Output  

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

U.S. Coke Exports" U.S. Coke Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",162796,79217,201795,242013,340944,-29 " Canada*",73859,17837,112348,91696,161596,-43.3 " Mexico",88535,60517,86721,149052,176163,-15.4 " Other**",402,863,2726,1265,3185,-60.3 "South America Total",223,217,591,440,1158,-62 " Other**",223,217,591,440,1158,-62 "Europe Total",48972,59197,"-",108169,6,"NM" " Other**",347,11743,"-",12090,"-","-"

482

SAS Output  

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

5. Unit of Measure Equivalents 5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours Terawatthours (TWh) 1,000,000,000,000 (One Trillion) Watthours Gigawatthours 1,000,000 (One Million) Kilowatthours Thousand Gigawatthours 1,000,000,000(One Billion Kilowatthours U.S. Dollar 1,000 (One Thousand) Mills U.S. Cent 10 (Ten) Mills Barrel of Oil 42 Gallons

483

SAS Output  

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

6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2002 - 2012 (continued) 6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 75,711 2,677 0.63 17.68 4.98 126.0 1,680,518 1,634,734 3.68 3.78 72.3 1.53 2003 89,618 3,165 0.74 20.94 5.51 124.0 1,486,088 1,439,513 5.59 5.77 81.6 1.74 2004 107,985 3,817 0.89 25.15 5.10 92.0 1,542,746 1,499,933 6.15 6.33 82.9 1.87 2005 102,450 3,632 1.29 36.31 5.16 87.9 1,835,221 1,780,721 8.32 8.57 83.4 2.38

484

SAS Output  

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

2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: 2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2012 and 2011 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change New England 1,030 1,389 -26% 2,483 2,680 -7.3% 0 0 -- Connecticut W W W 1,300 954 36% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 675 W 837 990 -15% 0 0 -- New Hampshire W W W W W W 0 0 -- Rhode Island 0 0 -- W W W 0 0 -- Vermont 0 0 -- 51 49 3.0% 0 0 -- Middle Atlantic 7,553 7,800 -3.2% 5,496 6,591 -17% W W W New Jersey 926 871 6.3% 1,084 1,113 -2.6% 0 0 --

485

SAS Output  

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

0. Coal Receipts at Commercial and Institutional Users by Census Division and State" 0. Coal Receipts at Commercial and Institutional Users by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "Middle Atlantic",25,54,32,79,90,-12 " Pennsylvania",25,54,32,79,90,-12 "East North Central",115,183,117,298,301,-0.9 " Illinois",31,42,28,73,67,8.1 " Indiana","w","w","w","w","w","w" " Michigan","w","w","w","w","w","w"

486

SAS Output  

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

Major U.S. Coal Mines, 2012" Major U.S. Coal Mines, 2012" "Rank","Mine Name / Company","Mine Type","State","Production (short tons)" 1,"North Antelope Rochelle Mine / Peabody Powder River Mining Ll","Surface","Wyoming",107639188 2,"Black Thunder / Thunder Basin Coal Company Llc","Surface","Wyoming",93082919 3,"Cordero Mine / Cordero Mining Llc","Surface","Wyoming",39204736 4,"Antelope Coal Mine / Antelope Coal Llc","Surface","Wyoming",34316314 5,"Belle Ayr Mine / Alpha Coal West, Inc.","Surface","Wyoming",24227846 6,"Eagle Butte Mine / Alpha Coal West, Inc.","Surface","Wyoming",22466733

487

SAS Output  

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

9. Total Capacity of Distributed and Dispersed Generators by Technology Type, 9. Total Capacity of Distributed and Dispersed Generators by Technology Type, 2005 through 2012 Capacity (MW) Year Internal Combustion Combustion Turbine Steam Turbine Hydro Wind Photovoltaic Storage Other Wind and Other Total Number of Generators Distributed Generators 2005 4,025.0 1,917.0 1,830.0 999.0 -- -- -- -- 995.0 9,766.0 17,371 2006 3,646.0 1,298.0 2,582.0 806.0 -- -- -- -- 1,081.0 9,411.0 5,044 2007 4,624.0 1,990.0 3,596.0 1,051.0 -- -- -- -- 1,441.0 12,702.0 7,103 2008 5,112.0 1,949.0 3,060.0 1,154.0 -- -- -- -- 1,588.0 12,863.0 9,591 2009 4,339.0 4,147.0 4,621.0 1,166.0 -- -- -- -- 1,729.0 16,002.0 13,006 2010 886.8 186.0 109.9 97.4 98.9 236.3 -- 372.7 -- 1,988.0 15,630

488

SAS Output  

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

U.S. Coal Exports and Imports, 2007 - 2013" U.S. Coal Exports and Imports, 2007 - 2013" "(thousand short tons)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports" 2007,11139,8786,14702,8405,16198,10559,17124,8597,59163,36347 2008,15802,7640,23069,8982,20321,8485,22329,9101,81519,34208 2009,13335,6325,12951,5426,15159,5441,17653,5447,59097,22639 2010,17807,4803,21965,5058,21074,4680,20870,4811,81716,19353 2011,26617,3381,26987,3419,25976,3588,27679,2700,107259,13088 2012,28642,2022,37534,2329,31563,2415,28006,2394,125746,9159

489

SAS Output  

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

2. Nitrogen Oxides Uncontrolled Emission Factors 2. Nitrogen Oxides Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Cyclone Boiler Fluidized Bed Boiler Opposed Firing Boiler Spreader Stoker Boiler Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Dry-Bottom Boilers Dry-Bottom Boilers Dry-Bottom Boilers Wet-Bottom Boilers Dry-Bottom Boilers Agricultural Byproducts AB Source: 1 Lbs per ton 1.20 1.20 1.20 N/A 1.20 Blast Furnace Gas BFG Sources: 1 (including footnote 7 within source); EIA estimates Lbs per MMCF 15.40 15.40 15.40 N/A 15.40 Bituminous Coal BIT Source: 2, Table 1.1-3 Lbs per ton 33.00 5.00 12.00 31.00 11.00 Black Liquor BLQ Source: 1 Lbs per ton ** 1.50 1.50 1.50 N/A 1.50

490

SAS Output  

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

Average Price of U.S. Coke Exports" Average Price of U.S. Coke Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","April - June","January - March","April - June",2013,2012,"Percent" "of Destination",2013,2013,2012,,,"Change" "North America Total",240.59,241.38,218.4,240.85,225.8,6.7 " Canada*",147.49,330.47,243.04,183.08,286.56,-36.1 " Mexico",316.57,211.63,189.12,273.97,171.71,59.6 " Other**",612.42,485.63,134.48,525.92,135.04,289.5 "South America Total",140.65,156.15,322.7,148.29,250.36,-40.8 " Other**",140.65,156.15,322.7,148.29,250.36,-40.8 "Europe Total",259.26,255.24,"-",257.06,427.83,-39.9

491

SAS Output  

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

A. Net Generation by Energy Source: Total (All Sectors), 2002 - 2012 A. Net Generation by Energy Source: Total (All Sectors), 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 1,933,130 78,701 15,867 691,006 11,463 780,064 264,329 79,109 -8,743 13,527 3,858,452 2003 1,973,737 102,734 16,672 649,908 15,600 763,733 275,806 79,487 -8,535 14,045 3,883,185 2004 1,978,301 100,391 20,754 710,100 15,252 788,528 268,417 83,067 -8,488 14,232 3,970,555 2005 2,012,873 99,840 22,385 760,960 13,464 781,986 270,321 87,329 -6,558 12,821 4,055,423 2006 1,990,511 44,460 19,706 816,441 14,177 787,219 289,246 96,525 -6,558 12,974 4,064,702

492

SAS Output  

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

C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2012 and 2011 (Megawatts) C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2012 and 2011 (Megawatts) Census Division and State Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Other Natural Gas Coal Petroleum Coke Petroleum Liquids Other Gases Total Fossil Fuels Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 12,190.5 11,593.8 1,090.0 1,058.9 876.4 830.1 2,546.1 2,755.5 0.0 0.0 7,916.1 7,915.3 0.0 0.0 24,619.1 24,153.6 Connecticut 2,513.4 2,447.7 458.1 432.7 61.0 44.7 389.1 564.4 0.0 0.0 3,186.1 3,185.0 0.0 0.0 6,607.7 6,674.5 Maine 1,250.0 1,250.0 306.0 302.2 119.0 93.0 85.0 85.0 0.0 0.0 1,004.9 1,007.2 0.0 0.0 2,764.9 2,737.4

493

SAS Output  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2012" Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2012" "(million short tons)" ,"Underground",,"Surface",,"Total" "Mine Production Range","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery" "(thousand short tons)","Reserves","Percentage","Reserves","Percentage","Reserves","Percentage" "Over 1,000",4874,57.96,11153,91.28,16028,81.15 "Over 500 to 1,000",531,47.14,226,81.9,757,57.49 "Over 200 to 500",604,52.72,333,69.16,938,58.57

494

SAS Output  

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

4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: 4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Commercial Sector by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 0 -- -- 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- -- Middle Atlantic 0 -- -- 0 -- -- 0 -- --

495

SAS Output  

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

8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 18.64 W W 21.43 21.12 18.47 W Connecticut W 21.91 W 23.87 NM W 21.93 Maine W W W -- NM W W Massachusetts 17.17 19.76 -13% 17.45 NM 17.16 19.66 New Hampshire 23.23 W W 23.23 19.90 -- W Rhode Island -- W W -- NM -- W Vermont 24.11 NM NM 24.11 NM -- -- Middle Atlantic W 20.15 W 21.01 19.21 W 20.66 New Jersey 19.77 18.36 7.7% -- NM 19.77 20.28 New York W 19.66 W 21.01 20.00 W 19.36 Pennsylvania 21.84 22.19 -1.6% -- NM 21.84 22.19

496

SAS Output  

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

Productive Capacity of Coal Mines by State, 2012 and 2011" Productive Capacity of Coal Mines by State, 2012 and 2011" "(thousand short tons)" ,2012,,,2011,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",14594,7967,22561,16102,8911,25013,-9.4,-10.6,-9.8 "Alaska","-","w","w","-","w","w","-","w","w" "Arizona","-","w","w","-","w","w","-","w","w" "Arkansas","w","-","w","w","-","w","w","-","w"

497

SAS Output  

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

Quantity and Average Price of U.S. Coal Imports by Origin, 2007 - 2013" Quantity and Average Price of U.S. Coal Imports by Origin, 2007 - 2013" "(thousand short tons and dollars per short ton)" "Year and Quarter","Australia","Canada","Colombia","Indonesia","China","Venezuela","Other","Total" ,,,,,,,"Countries" 2007,66,1967,26864,3663,50,3425,311,36347 2008,149,2027,26262,3374,45,2312,39,34208 2009,152,1288,17787,2084,9,1297,21,22639 2010,380,1767,14584,1904,53,582,83,19353 2011,62,1680,9500,856,22,779,188,13088 2012 " January - March","-",260,1594,59,7,80,22,2022 " April - June","-",281,1728,49,21,170,80,2329 " July - September","-",297,1762,266,39,"-",51,2415

498

SAS Output  

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

Average Sales Price of Coal by State, County, and Number of Mines, 2012" Average Sales Price of Coal by State, County, and Number of Mines, 2012" "Coal-Producing State and County","Number of Mines","Sales","Average Sales Price" ,,"(thousand short tons)","(dollars per short ton)" "Alabama",39,19021,106.57 " Bibb",1,"w","w" " Blount",2,"w","w" " Fayette",1,"w","w" " Franklin",1,"w","w" " Jackson",2,"w","w" " Jefferson",11,4298,146.04 " Marion",1,"w","w" " Tuscaloosa",7,8599,111.55 " Walker",11,2370,81.88

499

SAS Output  

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

2. Coal Stocks at Commercial and Institutional Users by Census Division and State" 2. Coal Stocks at Commercial and Institutional Users by Census Division and State" "(thousand short tons)" "Census Division","June 30 2013","March 31 2013","June 30 2012","Percent Change" "and State",,,,"(June 30)" ,,,,"2013 versus 2012" "Middle Atlantic",62,58,56,10.9 " Pennsylvania",62,58,56,10.9 "East North Central",168,171,197,-14.7 " Illinois","w","w","w","w" " Indiana",75,76,75,0.5 " Michigan","w","w","w","w" " Ohio",25,15,19,27 " Wisconsin",5,5,3,59.1 "West North Central",66,75,97,-32.2

500

SAS Output  

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

3. Summary Statistics for Coal Refining Plants, 2012 - 2013" 3. Summary Statistics for Coal Refining Plants, 2012 - 2013" "(thousand short tons)" "Year and","Coal Receipts","Average Price of Coal Receipts","Coal Used","Coal Stocks1" "Quarter",,"(dollars per short ton)" 2012 " January - March",2151,27.47,1756,771 " April - June",3844,25.42,3688,825 " July - September",5399,24.32,5286,812 " October - December",4919,24.55,4680,787 " Total",16313,25.06,15410 2013 " January - March",5067,24.6,4989,793 " April - June",4015,25.24,3754,756 " Total",9082,24.88,8744 "1 Reported as of the last day of the quarter." "Note: Average price is based on the cost, insurance, and freight (c.i.f. value). Total may not equal sum of components because of independent rounding."