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


1

Level: National Data; Row: Values of Shipments within NAICS Codes;  

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

3 Consumption Ratios of Fuel, 2006; 3 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2 50-99 830.1 5.9 2.7 100-249 1,130.0 6.7 3.1 250-499 1,961.4 7.6 3.6 500 and Over 3,861.9 9.0 3.6 Total 1,278.4 6.9 3.1 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 979.3 10.3

2

Level: National Data; Row: Values of Shipments within NAICS Codes;  

Gasoline and Diesel Fuel Update (EIA)

3 Consumption Ratios of Fuel, 2010; 3 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 405.4 4.0 2.1 20-49 631.3 4.7 2.2 50-99 832.0 4.9 2.3 100-249 1,313.4 6.2 2.8 250-499 1,905.2 7.4 3.6 500 and Over 4,225.4 7.5 3.1 Total 1,449.6 6.4 2.8 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 576.6 5.9

3

Level: National Data; Row: Employment Sizes within NAICS Codes;  

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

4 Consumption Ratios of Fuel, 2006; 4 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3 7.7 3.6 500-999 2,328.9 10.6 4.5 1000 and Over 1,415.5 5.7 2.5 Total 1,278.4 6.9 3.1 311 FOOD Employment Size Under 50 1,266.8 8.3 3.2 50-99 1,587.4 9.3 3.6 100-249 931.9 3.6 1.5 250-499 1,313.1 6.3

4

Decommissioning Yankee Rowe  

Science Conference Proceedings (OSTI)

This article describes the process and progress of the decommissioning of the Yankee Rowe Nuclear Power Plant in Massachusetts. In 32 years Yankee Rowe was a safe, reliable and economical power source for New England. The uncertain near-term availability of disposal facilities for low-level waste, spent fuel, and other high level waste presents special challenges to the decommissioning. The decommissioning plan was submitted to the USNRC in December 1993 with final approval anticipated in 1994. Topics highlighted in this article are the decommissioning plan and the component removal program.

Heider, K.J.; Mellor, R.A.

1994-07-01T23:59:59.000Z

5

Level: National Data; Row: NAICS Codes; Column: Energy Sources;  

Gasoline and Diesel Fuel Update (EIA)

Next MECS will be fielded in 2015 Table 3.4 Number of Establishments by Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,416 10,373 4,039 64 7 1,538 3112 Grain and Oilseed Milling 602 602 9 204 489 268 30 0 140 311221 Wet Corn Milling 59 59 W 28 50 36 15 0 29 31131 Sugar Manufacturing 73 73 3 36 67 12 W 7 14 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987 17 207 839 503 W 0 210 3115 Dairy Products 998 998 12 217 908

6

Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;  

Gasoline and Diesel Fuel Update (EIA)

9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; 9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings; Unit: Floorspace Square Footage and Building Counts. Approximate Approximate Average Enclosed Floorspace Average Number Number of All Buildings Enclosed Floorspace of All Buildings of Buildings Onsite NAICS Onsite Establishments(b) per Establishment Onsite per Establishment Code(a) Subsector and Industry (million sq ft) (counts) (sq ft) (counts) (counts) Total United States 311 Food 1,115 13,271 107,293.7 32,953 3.1 3112 Grain and Oilseed Milling 126 602 443,178.6 5,207 24.8 311221 Wet Corn Milling 14 59 270,262.7 982 18.3 31131 Sugar Manufacturing

7

Level: National and Regional Data; Row: Selected NAICS Codes...  

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

Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and...

8

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2002; " " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit:...

9

" Row: NAICS Codes;"  

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

9.1 Enclosed Floorspace and Number of Establishment Buildings, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square...

10

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

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

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

11

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

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

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

12

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;  

Gasoline and Diesel Fuel Update (EIA)

Next MECS will be fielded in 2015 Table 6.1 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 871.7 4.3 1.8 3112 Grain and Oilseed Milling 6,239.5 10.5 3.6 311221 Wet Corn Milling 28,965.0 27.1 12.6 31131 Sugar Manufacturing 7,755.9 32.6 13.4 3114 Fruit and Vegetable Preserving and Specialty Foods 861.3 4.8 2.2 3115 Dairy Products 854.8 3.5 1.1 3116 Animal Slaughtering and Processing 442.9 3.5 1.2 312

13

Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 111 86 25 3112 Grain and Oilseed Milling 72 51 21 311221 Wet Corn Milling 55 42 13 31131 Sugar Manufacturing 7 3 4 3114 Fruit and Vegetable Preserving and Specialty Foods 13 13 0 3115 Dairy Products 0 0 0 3116 Animal Slaughtering and Processing 0 0 0 312 Beverage and Tobacco Products * * 0 3121 Beverages

14

Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components;  

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

3 Electricity: Components of Onsite Generation, 2006; 3 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood NAICS Total Onsite and Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States 311 Food 4,563 4,249 * 313 3112 Grain and Oilseed Milling 2,845 2,819 0 27 311221 Wet Corn Milling 2,396 2,370 0 27 31131 Sugar Manufacturing 951 951 0 * 3114 Fruit and Vegetable Preserving and Specialty Foods 268 268 0 * 3115 Dairy Products 44 31 * Q 3116 Animal Slaughtering and Processing 17 0 0 17 312 Beverage and Tobacco Products 659 623 Q * 3121 Beverages 587 551 Q * 3122 Tobacco 72

15

Level: National Data; Row: NAICS Codes; Column: Energy Sources;  

Gasoline and Diesel Fuel Update (EIA)

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,413 10,373 4,039 64 W 1,496 3112 Grain and Oilseed Milling 602 602 9 201 489 268 30 0 137 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 28 31131 Sugar Manufacturing 73 73 3 36 67 12 11 W 11 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987 17 207 839 503 W 0 207 3115 Dairy Products 998 998 12 217 908 161 W 0 79 3116 Animal Slaughtering and Processing

16

Level: National Data; Row: NAICS Codes; Column: Energy Sources  

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

3.4 Number of Establishments by Fuel Consumption, 2006; 3.4 Number of Establishments by Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,113 326 1,462 11,395 2,920 67 13 1,240 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 148 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 45 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 104 3116 Animal Slaughtering and Processing

17

" Row: NAICS Codes;" " ...  

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

than","and","Any","from Only","Other than","and","Row" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

18

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

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

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

19

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

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

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

20

" Row: Employment Sizes within NAICS Codes;"  

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

3. Consumption Ratios of Fuel, 1998;" 3. Consumption Ratios of Fuel, 1998;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

Note: This page contains sample records for the topic "row codea economic" 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

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2002;" 4 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

22

Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2006; 3 Number of Establishments by Usage of Cogeneration Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Subsector and Industry Establishments(b) in Use(c) In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know Total United States 311 Food 14,128 297 99 11,338 2,691 51 11,217 2,860 10 11,333 2,786 164 11,129 2,836 9 11,235 2,884 3112 Grain and Oilseed Milling 580 53 Q 499 38 5 532 42 W 533 W Q 533 44 5 530 45 311221 Wet Corn Milling 47 11 W 35 W W 43 W W 39 W 0 44 3 0 41 6 31131 Sugar Manufacturing

23

Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590 9,609 2,929 6,260 5,014 2,854 422 9,945 3,762 3112 Grain and Oilseed Milling 580 59 475 46 300 236 Q 154 398 28 446 95 Q 45 442 92 311221 Wet Corn Milling 47 9 34 4 36 W W 27 15 6 38 3 6 8 24 16 31131 Sugar Manufacturing 77

24

Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments  

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

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 14,128 14,113 326 1,475 11,399 2,947 67 15 1,210 W 3112 Grain and Oilseed Milling 580 580 15 183 449 269 35 0 148 W 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 0 31131 Sugar Manufacturing 78 78 11 45 61 35 26 15 45 0 3114 Fruit and Vegetable Preserving and Specialty Food 1,125

25

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6 18.2 31131 Sugar Manufacturing 6,629.2 31.3 12.2 3114 Fruit and Vegetable Preserving and Specialty Foods 1,075.3 5.5 2.8 3115 Dairy Products 956.3 4.3 1.3 3116 Animal Slaughtering and Processing 493.8 4.4 1.6 312

26

Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;  

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

1.1 Electricity: Components of Net Demand, 2006; 1.1 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 73,242 309 4,563 111 78,003 3112 Grain and Oilseed Milling 15,283 253 2,845 72 18,310 311221 Wet Corn Milling 6,753 48 2,396 55 9,142 31131 Sugar Manufacturing 920 54 951 7 1,919 3114 Fruit and Vegetable Preserving and Specialty Foo 9,720 1 268 13 9,976 3115 Dairy Products 10,079 0 44 0 10,123 3116 Animal Slaughtering and Processing 17,545 0 17 0 17,562 312 Beverage and Tobacco Products

27

Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources  

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,109 326 1,462 11,395 2,920 67 13 1,149 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 144 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 17 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 35 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 95

28

Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments;  

Gasoline and Diesel Fuel Update (EIA)

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 13,269 13,265 151 2,494 10,376 4,061 64 7 1,668 W 3112 Grain and Oilseed Milling 602 602 9 201 490 286 30 0 165 W 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 29 0 31131 Sugar Manufacturing 73 73 3 36 67 13 11 7 15 0 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987

29

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2006;" 4 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

30

Rights-Of-Way (ROW) Environmental Management: New ROW Development and Existing ROW Maintenance  

Science Conference Proceedings (OSTI)

During October 27-29, 1997, the Electric Power Research Institute (EPRI) and the Empire State Electric Energy Research Corporation (ESEERCO) sponsored a workshop to assess the need for a program of environmental research on Rights-of-Way (ROW) development and management, and to develop a research agenda. The workshop built on 1993 and 1996 EPRI meetings, and on the 6th International Symposium on Environmental Concerns in Rights-of-Way Management held in February, 1997. This document presents the proceedi...

1999-12-15T23:59:59.000Z

31

Two Row Mixed Integer Cuts Via Lifting?  

E-Print Network (OSTI)

Jun 22, 2008 ... the two-row mixed integer infinite-group problem), and to develop lifting ..... The next lemma analyzes the standard triangles with each side ...

32

" Row: Specific Energy-Management Activities...  

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

4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006;" " Level: National Data; " " Row: Specific Energy-Management Activities within NAICS...

33

Update rows? | OpenEI Community  

Open Energy Info (EERE)

Update rows? Update rows? Home > Groups > Databus Is it possible to update an existing row in a table? I'm thinking of the case of a table holding metadata about sensors. If the location changes, for example, can that row be changed/deleted/updated? thanks, Submitted by Hopcroft on 31 October, 2013 - 16:42 1 answer Points: 0 yes, it is done the same way you inserted the data, so just re-use your existing stuff and it will update. Deanhiller on 11 November, 2013 - 11:01 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (7) Managers: Deanhiller Recent members: Bradmin Hopcroft Vikasgoyal

34

Update rows? | OpenEI Community  

Open Energy Info (EERE)

Update rows? Update rows? Home > Groups > Databus Is it possible to update an existing row in a table? I'm thinking of the case of a table holding metadata about sensors. If the location changes, for example, can that row be changed/deleted/updated? thanks, Submitted by Hopcroft on 31 October, 2013 - 16:42 1 answer Points: 0 yes, it is done the same way you inserted the data, so just re-use your existing stuff and it will update. Deanhiller on 11 November, 2013 - 11:01 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (6) Managers: Deanhiller Recent members: Hopcroft Vikasgoyal Ksearight

35

" Row: NAICS Codes (3-Digit Only); Column...  

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

l","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Fact...

36

" Row: NAICS Codes; Column: Energy Sources...  

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

and",,"Coke and"," ","of Energy Sources","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","...

37

" Row: NAICS Codes; Column: Energy Sources...  

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

","Row" "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors" ,,"Total United States" ,"RSE...

38

" Row: End Uses;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " ",," ","Distillate"," "," ","Coal"," " " ",,,"Fuel Oil",,,"(excluding Coal" " ","Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)","RSE" " ","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Row"

39

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2002;" 8 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal","RSE" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Factors"

40

" Row: NAICS Codes;"  

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

2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" 2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

Note: This page contains sample records for the topic "row codea economic" 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

" Row: NAICS Codes;"  

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

1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" 1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

42

Yankee Rowe simulator core model validation  

Science Conference Proceedings (OSTI)

This paper presents the validation of the Yankee Rowe simulator core model. Link-Miles Simulation Corporation is developing the Yankee Rowe simulator and Yankee Atomic Electric Company is involved in input and benchmark data generation, as well as simulator validation. Core model validation by Yankee comprises three tasks: (1) careful generation of fuel reactivity characteristics (B constants); (2) nonintegrated core model testing; and (3) fully integrated core model testing. Simulator core model validation and verification is a multistage process involving input and benchmark data generation as well as interactive debugging. Core characteristics were brought within acceptable criteria by this process. This process was achieved through constant communication between Link-Miles and Yankee engineers. Based on this validation, the Yankee Rowe simulator core model is found to be acceptable for training purposes.

Napolitano, M.E.

1990-01-01T23:59:59.000Z

43

Yankee Rowe Decommissioning Experience Record: Volume 1  

Science Conference Proceedings (OSTI)

This report describes Yankee Atomic's experiences in the process of decommissioning the Yankee Rowe nuclear power plant. This volume presents lessons learned during work finished by September 1997. A second volume, to be published in 1998, will complete the experience record. The recommendations and insights in this report will be valuable to other utilities with permanently shutdown plants.

1997-12-31T23:59:59.000Z

44

" Row: NAICS Codes;"  

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

2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" 2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" " "," ",,"with Any"," Steam Turbines","Supplied","by Either","Conventional","Combustion","Turbines"," "," "," ","Internal","Combustion","Engines"," Steam Turbines","Supplied","by Heat"," ",," "

45

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" 3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" ,,,"with Any"," Steam Turbines Supplied by Either Conventional or Fluidized Bed Boilers",,,"Conventional Combusion Turbines with Heat Recovery",,,"Combined-Cycle Combusion Turbines",,,"Internal Combusion Engines with Heat Recovery",,," Steam Turbines Supplied by Heat Recovered from High-Temperature Processes",,,," "

46

Yankee Rowe Decommissioning Experience Record: Volume 2  

Science Conference Proceedings (OSTI)

This report describes Yankee Atomic Electric Company's (YAEC) recent experiences in the process of decommissioning the Yankee Rowe nuclear power plant. This volume supplements Volume 1 by presenting more lessons learned during work finished by September 1998. In 1999, EPRI will publish a final report completing the experience record. The recommendations and insights in this report will be valuable to other utilities with permanently shut down plants.

1998-12-18T23:59:59.000Z

47

" Row: End Uses;"  

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

7 End Uses of Fuel Consumption, 2006;" 7 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." ,,,"Distillate",,,"Coal" ,,,"Fuel Oil",,,"(excluding Coal" ,"Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)" ,"for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million" "End Use","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)"

48

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2010;" 8 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2886,79,130,5211,69,868

49

Optimization Online - Simultaneous Column-and-Row Generation ...  

E-Print Network (OSTI)

Nov 14, 2010 ... Simultaneous Column-and-Row Generation for Large-Scale Linear Programs with Column-Dependent- ... Entry Last Modified: 05/17/2012.

50

Globally Optimal Solutions for Large Single-Row Facility Layout ...  

E-Print Network (OSTI)

May 22, 2006 ... This paper is concerned with the single-row facility layout problem ..... A standard way to tighten linear or semidefinite relaxations of binary ...

51

Level: National Data; Row: Specific Energy-Management Activities...  

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

be conducted in 2010 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006; Level: National Data; Row: Specific Energy-Management...

52

System manual for the University of Pennsylvania retrofitted solar heated Philadelphia row home (SolaRow)  

DOE Green Energy (OSTI)

The University of Pennsylvania SolaRow house, an urban row home retrofitted for comfort and domestic hot water heating, was extensively instrumented for performance monitoring and acquisition of weather and solar radiation data. This report describes the heating and instrumentation systems, provides the details for instrumentation, piping and valve identification, and specifies the operation and maintenance of the heating and data acquisition systems. The following are included: (1) system flow diagrams; (2) valve and cable identification tables; (3) wiring diagrams; and (4) start-up, normal operation, shut-down, maintenance and trouble-shooting procedures. It thus provides the necessary technical information to permit system operation and monitoring, overall system performance analysis and optimization, and acquisition of climatological data.

Zinnes, I.; Lior, N.

1980-05-01T23:59:59.000Z

53

" Row: NAICS Codes; Column: Electricity Components;"  

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

1 Electricity: Components of Net Demand, 2002;" 1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases"," In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

54

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

1. Fuel Consumption, 1998;" 1. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

55

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

S5.1. Selected Byproducts in Fuel Consumption, 1998;" S5.1. Selected Byproducts in Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," ","Waste"," ",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars","RSE" "SIC"," "," ","Furnace/Coke"," ","Petroleum","or","Wood Chips,","and Waste","Row"

56

" Row: NAICS Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

57

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2002;" 1 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

58

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "SIC"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

59

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2002;" 2 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

60

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2002;" 1 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

Note: This page contains sample records for the topic "row codea economic" 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

" Row: NAICS Codes; Column: Electricity Components;"  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,,"Sales and","Net Demand","RSE" "NAICS"," ",,,"Total Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

62

Solving connected row convex constraints by variable elimination  

Science Conference Proceedings (OSTI)

We propose an algorithm for the class of connected row convex constraints. In this algorithm, we introduce a novel variable elimination method to solve the constraints. This method is simple and able to make use of the sparsity of the problem instances. ... Keywords: Connected row convex constraints, Constraint composition, Constraint satisfaction problems, Path consistency, Variable elimination

Yuanlin Zhang; Satyanarayana Marisetti

2009-08-01T23:59:59.000Z

63

" Row: NAICS Codes; Column: Energy Sources;"  

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

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

64

Front Row (left to right): Bryan Reed, Wayne King, Nigel Browning ...  

DTEM – Team Members: Front Row (left to right): Bryan Reed, Wayne King, Nigel Browning, Judy Kim, Michael Armstrong Back Row (left to right): Thomas LaGrange ...

65

Row-Action Inversion of the Barrick–Weber Equations  

Science Conference Proceedings (OSTI)

The Barrick–Weber equations describe the interaction of radar signals with the dynamic ocean surface, and so provide a mathematical basis for oceanic remote sensing. This report considers the inversion of these equations with several of the row-...

J. J. Green; L. R. Wyatt

2006-03-01T23:59:59.000Z

66

The Chooser-Picker 7-in-a-row-game  

E-Print Network (OSTI)

One of the main objective of this paper is to relate Beck's conjecture for k-in-a-row games. The conjecture states that playing on the same board Picker is better off in a Chooser-Picker game than the second player in the Maker-Breaker version. It was shown that the 8-in-a-row game is a blocking draw that is a Breaker win. To give the outcome of 7-, or 6-in-a-row-games is hopeless, but these games are widely believed to be Breaker's win. If both conjectures hold, Picker must win the Chooser-Picker version of the 7-in-a-row game, and that is what we prove.

Csernenszky, András

2010-01-01T23:59:59.000Z

67

A competitive genetic algorithm for single row facility layout  

E-Print Network (OSTI)

Feb 22, 2012 ... The single row facility layout is the NP-Hard problem of arranging facilities ..... with a user-specified probability p, the second fittest solution with ...

68

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2002;" 2 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

69

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)","Row"

70

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" 4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

71

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Fuel Consumption, 2002;" 4 Number of Establishments by Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

72

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2002;" 2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

73

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2002;" 1 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal" " "," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Row"

74

" Row: End Uses within NAICS Codes;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)","RSE" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Row"

75

" Row: End Uses within NAICS Codes;"  

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

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

76

" Row: NAICS Codes; Column: Energy Sources;"  

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

6 Quantity of Purchased Energy Sources, 2002;" 6 Quantity of Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)"," Gas(c)","NGL(d)","(million","(million ","Other(e)","Row"

77

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

78

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

S4.1. Offsite-Produced Fuel Consumption, 1998;" S4.1. Offsite-Produced Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

79

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2002;" 3 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" " "," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","RSE" "NAICS"," ","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Row"

80

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2002;" 4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Factors"

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


81

Microsoft Word - CX_Memo_SchultzROW.docx  

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

2 2 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum Brandee Shoemaker Project Manager - TERM-TPP-4 Proposed Action: Schultz-Raver No.1 Right-Of-Way (ROW) Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Kittitas County, Washington Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA is proposing to survey and mark the northern boundary of its transmission line ROW for the Schultz-Raver No.1 and Schultz-Echo Lake No.1 transmission line corridor in Kittitas County, WA. Due to high development pressure, a lack of visible signage, and incomplete county records, encroachments into the ROW have occurred in the

82

Improving Data Center Efficiency with Rack or Row Cooling Devices  

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

Challenging conventional Challenging conventional cooling systems Rack/row-mounted cooling devices can replace or supplement conventional cooling systems and result in energy savings. Conventional data center cool- ing is achieved with computer room air conditioners (CRACs) or computer room air handlers (CRAHs). These CRAC and CRAH units are typically installed in data centers on top of raised-floors that are used for cooling air distribution. Such under-floor air distribution is not required by the new rack/row-mounted devices. Consequently, the vagaries of under-floor airflow pathways for room conditioning are avoided. Importantly, close-coupled devices may be better

83

Improving Data Center Efficiency with Rack or Row Cooling Devices  

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

Challenging conventional Challenging conventional cooling systems Rack/row-mounted cooling devices can replace or supplement conventional cooling systems and result in energy savings. Conventional data center cool- ing is achieved with computer room air conditioners (CRACs) or computer room air handlers (CRAHs). These CRAC and CRAH units are typically installed in data centers on top of raised-floors that are used for cooling air distribution. Such under-floor air distribution is not required by the new rack/row-mounted devices. Consequently, the vagaries of under-floor airflow pathways for room conditioning are avoided. Importantly, close-coupled devices may be better

84

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2010;" 2 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," " " "," " "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

85

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2006;" 1 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",,,," "," "," ",," "," "," "," "," " " "," ",,,,,,,,,,,"Coke" " "," "," ",,,,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze"," " "NAICS"," ","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)"

86

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2010;" 1 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)"

87

" Row: End Uses within NAICS Codes;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ","Coal"," "," " " "," ",,,,"Fuel Oil",,,"(excluding Coal" " "," "," ","Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)"," ","RSE"

88

" Row: NAICS Codes; Column: Energy Sources;"  

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

6 Quantity of Purchased Energy Sources, 2010;" 6 Quantity of Purchased Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)"

89

Ten Weirdest Computers By DUNCAN GRAHAM-ROWE  

E-Print Network (OSTI)

Ten Weirdest Computers By DUNCAN GRAHAM-ROWE April 15, 2008 -- Today's computers use pulses, weirder, ways& 1. Optical computing There's nothing weird about encoding data in light global computations is still not practical. Optical computers are a worthwhile goal because using light could increase

Braun, Paul

90

PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES  

E-Print Network (OSTI)

PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES A Thesis Submitted April 1995 #12;PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES by Xiangwei Zhao Abstract The steady and time-dependentbehavior of a single-row heat exchanger with water and air in the in

Sen, Mihir

91

High Energy-Efficiency Retrofits to Baltimore's Row Homes  

SciTech Connect

The purpose of the research project is to develop high-perfommnce, energy-eflicient retrofits of existing row homes in Baltimore, Maryland. These efficiency enhancements are to optimize building envelope improvements, mechanical equipment improvements and operational improvements to the highest cost-effective level. Furthermore, this project is to investigate and demonstrate the impact of high-performance energy-efficiency retrofit improvements on row homes in the Historic East area of Baltimore. Three homes awaiting renovation are planned to receive building envelope, mechanical system, and electrical system improvements that will improve their energy petiormance. An incremental additional cost ceiling of $4000 for the energy eftlciency improvements, beyond those normally installed, has been set by the project.

Chalk, J.; Johnson, A.L.; Lipscomb, L.; Wendt, R.

1999-04-19T23:59:59.000Z

92

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2006;" 4 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

93

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2006;" 2 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

94

" Row: NAICS Codes; Column: Energy Sources;"  

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

3.4 Number of Establishments by Fuel Consumption, 2006;" 3.4 Number of Establishments by Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

95

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2010;" 3 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

96

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2010;" 1.1 Electricity: Components of Net Demand, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",75652,21,5666,347,80993

97

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2010;" 4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

98

" Row: NAICS Codes; Column: Energy Sources;"  

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

2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" 2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS"," ","Energy","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

99

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2006;" 1.1 Electricity: Components of Net Demand, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",73242,309,4563,111,78003

100

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2006;" 3 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

Note: This page contains sample records for the topic "row codea economic" 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

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2010;" 2 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

102

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2010;" 1 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

103

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2010;" 1 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,"Coke" ,,,,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze" "NAICS",,"Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","short tons)","(trillion Btu)"

104

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2010;" 2 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Residual","Distillate",,"LPG and",,"Coke" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1113,258,12,22,579,5,182,2,54 3112," Grain and Oilseed Milling",346,57,"*",1,121,"*",126,0,41

105

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2006;" 1 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

106

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2006;" 1 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,,,,"Coke" ,,,,"Net",,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze" "NAICS",,"Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)",,"(million kWh)",,"(million bbl)","(million bbl)","cu ft)",,"(million bbl)","short tons)","short tons)","(trillion Btu)"

107

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2006;" 2 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Net",,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1186,,251,,26,16,635,,3,,147,1,107 3112," Grain and Oilseed Milling",317,,53,,2,1,118,,"*",,114,0,30

108

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2006;" 2 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,,,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1124,,251,,26,16,635,,3,,147,1,45 3112," Grain and Oilseed Milling",316,,53,,2,1,118,,"*",,114,0,28

109

Burnup Credit -- Contribution to the Analysis of the Yankee Rowe Radiochemical Assays  

Science Conference Proceedings (OSTI)

This report presents a methodology for validation of the isotopic contents of spent light water reactor fuel for actinide-only burnup credit with additional high-quality radiochemistry assay (RCA) data obtained from the Yankee Rowe pressurized water reactor. The additional Yankee Rowe RCA data were not included in previous isotopic validation studies for burnup credit due to the difficulty of accurately modeling the complex Yankee Rowe fuel assembly design using the SAS2H one-dimensional sequence of the ...

2011-10-11T23:59:59.000Z

110

Provably Near-Optimal Solutions for Very Large Single-Row Facility ...  

E-Print Network (OSTI)

Mar 14, 2009 ... This paper is concerned with the single-row facility ..... A standard way to tighten linear or semidefinite relaxations of integer optimization ...

111

table3.6_02  

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

m a s s Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and RSE NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Row Code(a) Subsector and...

112

Energy Conservation Analysis of Three-Row-Hole Hollow Blocks  

E-Print Network (OSTI)

In recent years, solid clay blocks have been forbidden in large and middle cities with the wall reformation policy issued in China. Many kinds of new wall materials have appeared in the market, but little research has been done on these new materials' energy conserving effects. The government of China adopted forcible energy conserving measures in the building industry in 2005. Because of this, more attention is being paid to the energy-conserving ability of the wall material. In this paper, we investigate the thermal properties of two different kinds of three-row-hole blocks through experiments, analyze their energy conserving index, and suggest ways to save energy based on the results of the investigation.

Chen, G.; Li, H.; Liu, Z.

2006-01-01T23:59:59.000Z

113

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes  

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

2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2006; 2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources Unit: Trillion Btu Economic Residual Distillate LPG and Coke and Characteristic(a) Total Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Breeze Other(e) Total United States Value of Shipments and Receipts (million dollars) Under 20 47 0 3 5 Q 20 1 17 20-49 112 7 Q 20 1 12 1 64 50-99 247 29 Q 26 88 33 * 68 100-249 313 28 1 97 12 48 43 85 250-499 297 * * 121 154 3 5 13 500 and Over 2,547 * * 130 2,043 301 6 66 Not Ascertained (f) 3,399 0 0 0 0 0 0 3,399 Total 6,962 64 17 398 2,299 417 56 3,711 Employment Size Under 50 161 4 Q 48 15 19 0 64 50-99 390 41 1 97 145 27 1 77 100-249

114

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

3.3 Fuel Consumption, 2006; 3.3 Fuel Consumption, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,139 367 23 45 535 14 21 3 131 20-49 1,122 333 13 19 530 8 93 5 122 50-99 1,309 349 22 17 549 10 157 8 197 100-249 2,443 607 25 19 994 11 263 10 512 250-499 2,092 413 53 13 633 4 244 3 730 500 and Over 7,551 781 115 17 2,271 31 240 344 3,752 Total 15,657 2,851 251 129 5,512 79 1,016 374 5,445 Employment Size Under 50 1,103 334 10 45 550 10

115

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

2 Consumption Ratios of Fuel, 2006; 2 Consumption Ratios of Fuel, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value Economic per Employee of Value Added of Shipments Characteristic(a) (million Btu) (thousand Btu) (thousand Btu) Total United States Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2 50-99 830.1 5.9 2.7 100-249 1,130.0 6.7 3.1 250-499 1,961.4 7.6 3.6 500 and Over 3,861.9 9.0 3.6 Total 1,278.4 6.9 3.1 Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3 7.7 3.6 500-999 2,328.9

116

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes  

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

1.3 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; 1.3 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources and Shipments; Unit: Trillion Btu. Shipments Economic Net Residual Distillate LPG and Coke and of Energy Sources Characteristic(a) Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,166 367 23 48 540 15 41 3 140 12 20-49 1,209 333 20 26 550 8 104 5 182 20 50-99 1,507 349 51 19 575 98 190 9 256 40 100-249 2,651 607 53 20 1,091 23 310 53 566 73 250-499 2,362 413 52 13 754 158 247 9 732 16 500 and Over

117

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

6 Electricity: Sales to Utility and Nonutility Purchasers, 2006; 6 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of Economic Sales and Utility Nonutility Characteristic(a) Transfers Offsite Purchaser(b) Purchaser(c) Total United States Value of Shipments and Receipts (million dollars) Under 20 28 28 0 20-49 307 227 80 50-99 2,218 1,673 545 100-249 2,647 1,437 1,210 250-499 3,736 2,271 1,464 500 and Over 10,814 5,665 5,149 Total 19,750 11,301 8,449 Employment Size Under 50 516 230 287 50-99 1,193 1,180 13 100-249 3,825 3,231 594 250-499 3,796 2,675 1,120 500-999 4,311 1,921 2,390

118

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

4 Electricity: Components of Onsite Generation, 2006; 4 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood Economic Total Onsite and Characteristic(a) Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,447 450 Q Q 20-49 5,220 5,106 29 Q 50-99 3,784 3,579 29 Q 100-249 17,821 17,115 484 222 250-499 28,464 27,202 334 927 500 and Over 86,249 85,028 106 1,114 Total 142,986 138,480 1,030 3,476 Employment Size Under 50 2,193 1,177 Q Q 50-99 6,617 6,438 13 166 100-249 12,403 12,039 266 98 250-499

119

" Row: Selected SIC Codes; Column: Energy Sources and Shipments;"  

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

2. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" 2. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources and Shipments;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ",," ","Shipments","RSE" "SIC"," ",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources","Row"

120

Automatic expert system based on images for accuracy crop row detection in maize fields  

Science Conference Proceedings (OSTI)

This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on images acquired from a vision system. Different applications in maize, particularly those based on site specific treatments, require the identification ... Keywords: Crop row detection in maize fields, Expert system, Image segmentation, Image thresholding, Linear regression, Machine vision, Theil-Sen estimator

J. M. Guerrero; M. Guijarro; M. Montalvo; J. Romeo; L. Emmi; A. Ribeiro; G. Pajares

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;  

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

Coke and Shipments Net Residual Distillate Natural LPG and Coal Breeze of Energy Sources NAICS Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Gas(e) NGL(f) (million (million Other(g) Produced Onsite(h) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) short tons) short tons) (trillion Btu) (trillion Btu) Total United States RSE Column Factors: 0.9 1 1.2 1.8 1 1.6 0.8 0.9 1.2 0.4 311 Food 1,123 67,521 2 3 567 1 8 * 89 0 311221 Wet Corn Milling 217 6,851 * * 59 * 5 0 11 0 31131 Sugar 112 725 * * 22 * 2 * 46 0 311421 Fruit and Vegetable Canning 47 1,960 * * 35 * 0 0 1 0 312 Beverage and Tobacco Products 105 7,639 * * 45 * 1 0 11 0 3121 Beverages 85 6,426 * * 41 * * 0 10 0 3122 Tobacco 20 1,213 * * 4 * * 0 1 0 313 Textile Mills 207 25,271 1 * 73 * 1 0 15 0 314

122

GRR/Section 3-AK-b - Right of Ways (ROWs) | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-AK-b - Right of Ways (ROWs) GRR/Section 3-AK-b - Right of Ways (ROWs) < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-AK-b - Right of Ways (ROWs) 03AKBRightOfWaysROWs.pdf Click to View Fullscreen Contact Agencies Alaska Department of Natural Resources Alaska Division of Mining Land and Water Regulations & Policies Alaska Statutes Alaska Administrative Code Triggers None specified Click "Edit With Form" above to add content 03AKBRightOfWaysROWs.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative The Alaska Division of Mining Land and Water (ML&W) oversees land use within the state and issues right of ways, easements or permit to use state

123

GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW | Open  

Open Energy Info (EERE)

GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-HI-e - Permit to Construct Upon a State Highway ROW 03HIEConstructionUponAStateHighwayROW.pdf Click to View Fullscreen Contact Agencies Hawaii Department of Transportation Highways Division Regulations & Policies Hawaii Revised Statute Chapter 264 Hawaii Administrative Rules Title 19, Chapter 102 Hawaii Administrative Rules Title 19, Chapter 105 Triggers None specified Click "Edit With Form" above to add content 03HIEConstructionUponAStateHighwayROW.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range.

124

Economic Report  

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

Transmitted to the Congress February 2008 Transmitted to the Congress February 2008 Together with the Annual Report of the Council of Economic Advisers Economic Report of the President Economic Report of the President For sale by the Superintendent of Documents, U.S. Government Printing Office Internet: bookstore.gpo.gov Phone: (866) 512-1800; DC area (202) 512-1800 ISBN 978-0-16-079822-1 Transmitted to the Congress February 2008 together with THE ANNUAL REPORT of the COUNCIL OF ECONOMIC ADVISERS UNITED STATES GOVERNMENT PRINTING OFFICE WASHINGTON : 2008 Fax: (202) 512-2104 Mail Stop: IDCC, Washington, DC 20402-0001 C O N T E N T S ECONOMIC REPORT OF THE PRESIDENT ............................................. ANNUAL REPORT OF THE COUNCIL OF ECONOMIC ADVISERS* ...

125

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

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

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

126

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

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

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

127

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

N7.1. Consumption Ratios of Fuel, 1998;" N7.1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

128

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)","Row"

129

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

1 Consumption Ratios of Fuel, 2002;" 1 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

130

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

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

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

131

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

132

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

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

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

133

" Level: National Data;" " Row: NAICS Codes;"  

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

1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" 1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)","Factors"

134

" Row: Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in Energy-Management Activity, 2002;" 1 Number of Establishments by Participation in Energy-Management Activity, 2002;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Financial Support for Activity;" " Unit: Establishment Counts." " "," "," ",,,,," " " "," ",,," Source of Financial Support for Activity",,,"RSE" "NAICS"," "," ",,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Other","Don't Know","Factors"

135

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

N4.1. Offsite-Produced Fuel Consumption, 1998;" N4.1. Offsite-Produced Fuel Consumption, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

136

" Row: NAICS Codes; Column: Energy Sources and Shipments;"  

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

.1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" .1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources and Shipments;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ","Any",," "," ",," "," ",," ","Shipments","RSE" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources","Row"

137

ECONOMIC DISPATCH  

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

ECONOMIC DISPATCH ECONOMIC DISPATCH OF ELECTRIC GENERATION CAPACITY A REPORT TO CONGRESS AND THE STATES PURSUANT TO SECTIONS 1234 AND 1832 OF THE ENERGY POLICY ACT OF 2005 United States Department of Energy February 2007 ECONOMIC DISPATCH OF ELECTRIC GENERATION CAPACITY A REPORT TO CONGRESS AND THE STATES PURSUANT TO SECTIONS 1234 AND 1832 OF THE ENERGY POLICY ACT OF 2005 Sections 1234 and 1832 of the Energy Policy Act of 2005 (EPAct) 1 direct the U.S. Department of Energy (the Department, or DOE) to: 1) Study the procedures currently used by electric utilities to perform economic dispatch; 2) Identify possible revisions to those procedures to improve the ability of non-utility generation resources to offer their output for sale for the purpose of inclusion in

138

Economic impact  

Science Conference Proceedings (OSTI)

In federal fiscal year 2000 (FY00), Berkeley Lab had 4,347 full- and part-time employees. In addition, at any given time of the year, there were more than 1,000 Laboratory guests. These guests, who also reside locally, have an important economic impact on the nine-county Bay Area. However, Berkeley Lab's total economic impact transcends the direct effects of payroll and purchasing. The direct dollars paid to the Lab's employees in the form of wages, salaries, and benefits, and payments made to contractors for goods and services, are respent by employees and contractors again and again in the local and greater economy. Further, while Berkeley Lab has a strong reputation for basic scientific research, many of the Lab's scientific discoveries and inventions have had direct application in industry, spawning new businesses and creating new opportunities for existing firms. This analysis updates the Economic Impact Analysis done in 1996, and its purpose is to describe the economic and geographic impact of Laboratory expenditures and to provide a qualitative understanding of how Berkeley Lab impacts and supports the local community. It is intended as a guide for state, local, and national policy makers as well as local community members. Unless otherwise noted, this analysis uses data from FY00, the most recent year for which full data are available.

Technology Transfer Department

2001-06-01T23:59:59.000Z

139

" of Supplier, Census Region, Census Division, and Economic Characteristics"  

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

Quantity of Purchased Electricity and Steam by Type" Quantity of Purchased Electricity and Steam by Type" " of Supplier, Census Region, Census Division, and Economic Characteristics" " of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ," Electricity",," Steam" ," (million kWh)",," (billion Btu)" ,,,,,"RSE" " ","Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

140

GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW | Open Energy  

Open Energy Info (EERE)

GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-NV-c - Encroachment Permit for NDOT ROW 03NVCEncroachment (1).pdf Click to View Fullscreen Contact Agencies Nevada Department of Transportation Regulations & Policies NRS Chapter 405 Control and Preservation of Public Highways Triggers None specified Click "Edit With Form" above to add content 03NVCEncroachment (1).pdf 03NVCEncroachment (1).pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative The Nevada Department of Transportation (NDOT) grants permits for permanent installations within State rights-of-way and in areas maintained by the

Note: This page contains sample records for the topic "row codea economic" 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.
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141

Microsoft Word - CX-Pearl-Keeler_ROW_Marking_10June2013  

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

Rick Teiper Rick Teiper Project Manager - TERM-TPP-4 Proposed Action: Pearl-Keeler Right-of-Way (ROW) Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Washington County, Oregon Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to survey and mark the Pearl-Keeler No. 1 transmission line ROW boundary in Washington County, Oregon. The installation of markers to demarcate BPA's ROW would prevent encroachment from homeowners and developers, ensure the safety of nearby residents, and allow for the continued safe maintenance and operation of BPA's transmission lines. The proposed Project would install yellow carsonite markers and monuments along an

142

" Row: Energy-Management Activities within NAICS Codes;"  

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

C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and General Amounts of Establishment-Paid Activity Cost;" " Unit: Establishment Counts." " "," "," ",,,,,," " " "," ",,,"General","Amount of ","Establishment-Paid","Activity Cost","RSE" "NAICS"," "," ",,,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","All","Some","None","Don't Know","Factors"

143

A numerical study of bench blast row delay timing and its influence on percent-cast  

SciTech Connect

The computer program, DMC (Distinct Motion Code), which was developed for simulating the rock motion associated with blasting, has been used to study the influence of row delay timing on rock motion. The numerical simulations correspond with field observations in that very short delays (< 50ms) and very long delays (> 300ms) produce a lower percent-cast than a medium delay (100 to 200 ms). The DMC predicted relationship between row delay timing and percent-cast is more complex than expected with a dip in the curve where the optimum timing might be expected. More study is required to gain a full understanding of this phenomenon.

Preece, D.S.

1993-11-01T23:59:59.000Z

144

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

145

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)","Factors"

146

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Residual Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

147

" Row: Industry-Specific Technologies within Selected NAICS Codes;"  

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

3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" 3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" " Level: National Data; " " Row: Industry-Specific Technologies within Selected NAICS Codes;" " Column: Usage;" " Unit: Establishment Counts." ,,,,,"RSE" "NAICS"," ",,,,"Row" "Code(a)","Industry-Specific Technology","In Use(b)","Not in Use","Don't Know","Factors" ,,"Total United States" ,"RSE Column Factors:",1.3,0.5,1.5 , 311,"FOOD" ," Infrared Heating",762,13727,2064,1.8 ," Microwave Drying",270,14143,2140,2.5

148

Numerical Analysis of a Multi-Row Multi-Column Compact Heat Exchanger  

E-Print Network (OSTI)

Numerical Analysis of a Multi-Row Multi-Column Compact Heat Exchanger Ashkan Motamedi1, Arturo of a compact heat exchanger to analyze the interaction between the fluid and its geometry. The overall as the inner-tube fluid. Two heat exchanger configurations, in which the tube arrangement is either in

Pacheco, Jose Rafael

149

ROW 2.0 - Right-of-Way Environmental Stewardship Bibliographic Database, Version 2.0  

Science Conference Proceedings (OSTI)

The Right-of-Way Environmental Stewardship Bibliographic Database Version 2.0 (ROW 2.0) allows users to search in multiple ways for citations and retrieve summaries of published documents that focus on environmental concerns related to utility corridor design, siting, construction, or management.

2007-03-08T23:59:59.000Z

150

Shelley J. Row, P.E., PTOE Director, ITS Joint Program Office  

E-Print Network (OSTI)

Shelley J. Row, P.E., PTOE Director, ITS Joint Program Office Research and Innovative Technology of Transportation's Intelligent Transportation Systems (ITS) Joint Program Office (JPO), a position she has held 1996, Shelley joined the ITS Joint Program Office as the ITS Travel Management Coordinator and later

Minnesota, University of

151

The removal and segmentation of the Yankee Rowe reactor vessel internals  

Science Conference Proceedings (OSTI)

A major element of the reactor decommissioning of the Rowe Yankee reactor was the segmentation and packaging of the reactor internals. PCI Energy Services, specializing in remote cutting, machining, and welding, performed this work under contract to Yankee Atomic Electric Company. Removal techniques are described.

Child, C.; McGough, M.; Smith, G. [Power Cutting Inc., Lake Bluff, IL (United States)

1995-12-31T23:59:59.000Z

152

Qualification of In-Service Examination of the Yankee Rowe Reactor Pressure Vessel  

Science Conference Proceedings (OSTI)

An effective in-service examination of the reactor pressure vessel was an essential part of the restart program for the Yankee Atomic Power Company plant in Rowe, Massachusetts. This report describes development of an effective examination strategy, demonstration of performance of the examination procedures, and development of data on the distribution of flaws in reactor pressure vessels.

1993-01-01T23:59:59.000Z

153

Outline of a qualitative analysis for the human motion in case of ergometer rowing  

Science Conference Proceedings (OSTI)

Today, there are numerous methods of quantitative analysis of the human movement. Basic quality of these methods is the high degree of accuracy and reliability of the obtained data. According to systematic approach human movement is qualified as a complex ... Keywords: fuzzification, human motion, qualitative analysis, quantitative analysis, rowing

Ante Panjkota; Ivo Stan?ic; Tamara Šupuk

2009-09-01T23:59:59.000Z

154

" Row: Selected SIC Codes; Column: Energy Sources and Shipments;"  

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

1. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" 1. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources and Shipments;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ","Coke and"," ","Shipments"," " " "," ",,"Net","Residual","Distillate","Natural Gas(e)","LPG and","Coal","Breeze"," ","of Energy Sources","RSE"

155

Global Economic Effects of USA Biofuel Policy and the Potential Contribution from Advanced Biofuels  

Science Conference Proceedings (OSTI)

This study evaluates the global economic effects of the USA renewable fuel standards (RFS2), and the potential contribution from advanced biofuels. Our simulation results imply that these mandates lead to an increase of 0.21 percent in the global gross domestic product (GDP) in 2022, including an increase of 0.8 percent in the USA and 0.02 percent in the rest of the world (ROW); relative to our baseline, no-RFS scenario. The incremental contributions to GDP from advanced biofuels in 2022 are estimated at 0.41 percent and 0.04 percent in the USA and ROW, respectively. Although production costs of advanced biofuels are higher than for conventional biofuels in our model, their economic benefits result from reductions in oil use, and their smaller impacts on food markets compared with conventional biofuels. Thus, the USA advanced biofuels targets are expected to have positive economic benefits.

Gbadebo Oladosu; Keith Kline; Paul Leiby; Rocio Uria-Martinez; Maggie Davis; Mark Downing; Laurence Eaton

2012-01-01T23:59:59.000Z

156

Accurate correlation consistent basis sets for molecular core-valence correlation effects: The second row atoms Al-Ar and the first row atoms B-Ne revisited  

Science Conference Proceedings (OSTI)

Correlation consistent basis sets for accurately describing core-core and core-valence correlation effects in atoms and molecules have been developed for the second row atoms Al - Ar. Two different optimization strategies were investigated, which led to two families of core-valence basis sets when the optimized functions were added to the standard correlation consistent basis sets (cc-pVnZ). In the first case, the exponents of the augmenting primitive Gaussian functions were optimized with respect to the difference between all-electron and valence-electron correlated calculations, i.e., for the core-core plus core-valence correlation energy. This yielded the cc-pCVnZ family of basis sets, which are analogous to the sets developed previously for the first row atoms[D.E. Woon and T.H. Dunning, Jr., J. Chem. Phys. 103, 4572 (1995)]. Although the cc-pCVnZ sets exhibit systematic convergence to the all-electron correlation energy at the complete basis set limit, the intershell (core-valence ) correlation energy converges more slowly than the intrashell (core-core) correlation energy. Since the effect of including the core electrons on the calculation of molecular properties tends to be dominated by core-valence correlation effects, a second scheme for determining the augmenting functions was investigated. In this approach, the exponents of the functions to be added to the cc-pVnZ sets were optimized with respect to just the core-valence (intershell) correlation energy, except that a small amount of core-core correlation energy was included in order to ensure systematic convergence to the complete basis set limit. These new sets, denoted weighted core-valence basis sets (cc-pwCVnZ), significantly improve the convergence of many molecular properties with n. Optimum cc-pwCVnZ sets for the first-row atoms were also developed and show similar advantages.

Peterson, Kirk A. (WASHINGTON STATE UNIV TC); Dunning, Thom H. (BATTELLE (PACIFIC NW LAB))

2002-12-15T23:59:59.000Z

157

Book Review: Thieves of Book Row: New York's Most Notorious Rare Book Ring and the Man Who Stopped It by Travis McDade  

E-Print Network (OSTI)

Thieves of Book Row: New York'sMost Notorious Rare Book Ring and the Man Who Stopped It bypp. ISBN 0199922667. In Thieves of Book Row: New York’s Most

Montoya, Robert D.

2013-01-01T23:59:59.000Z

158

On economic bicameralism  

E-Print Network (OSTI)

(cont.) for both economic profitability and democratic justice, is explored after the roots of the idea of economic bicameralism in socio-economic history and existing socio-economic institutions (such as Works Councils) ...

Ferreras, Isabelle, 1975-

2004-01-01T23:59:59.000Z

159

Microsoft Word - CX-Rattlesnake-Garrison_ROW_Marking_06June2013  

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

6, 2013 6, 2013 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum P. Hastings Project Manager - TERM-TPP-4 Proposed Action: Rattlesnake-Garrison Right-of-Way Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Missoula County, Montana Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to survey and mark the Rattlesnake- Garrison transmission line right-of-way (ROW) boundary in Missoula County, Montana. The installation of signs to mark BPA's ROW would prevent encroachment from homeowners and developers, ensure the safety of nearby residents, and allow for the continued safe maintenance and operation of BPA's transmission lines.

160

A Parallel Row-Based Algorithm For Standard Cell Placement With Integrated Error Control  

E-Print Network (OSTI)

A new row-based parallel algorithm for standard-cell placement targeted for execution on a hypercube multiprocessor is presented. Key features of this implementation include a dynamic simulated-annealing schedule, row-partitioning of the VLSI chip image, and two novel approaches to control error in parallel cellplacement algorithms: (1) Heuristic Cell-Coloring; (2) Adaptive Sequence Length Control. 1. INTRODUCTION Simulated annealing is a general-purpose optimization method that has been successfully applied to solve a large variety of combinatorial optimization problems including many in VLSI design. Annealing is computationally very expensive, hence efforts to improve execution time has proceeded along two fronts: (1) accelerating the annealing schedule, and (2) parallelizing the annealing algorithm for execution on multiprocessors. Parallel implementations of annealing as applied to the cell placement application either attempt multiple cell moves in parallel [1-7], or distribute ...

Jeff S. Sargent; Prith Banerjee

1989-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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
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161

" Level: National Data;" " Row: NAICS Codes;"  

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

11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" 11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)"

162

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

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

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

163

" Level: National Data;" " Row: NAICS Codes;"  

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

7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " 7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Electricity Receipts(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Natural","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Receipts(d)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(e)"," "

164

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

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

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

165

" Level: National Data;" " Row: NAICS Codes;"  

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

2 Reasons that Made Coal Unswitchable, 2006;" 2 Reasons that Made Coal Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million short tons." ,,,,"Reasons that Made Coal Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Coal Consumed ","Unswitchable","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

166

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

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

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

167

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy",,"Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

168

Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS)  

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

DOE-STD-1047-2008 DOE-STD-1047-2008 August 2008 DOE STANDARD Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS) U.S. Department of Energy AREA SAFT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. NOT MEASUREMENT SENSITIVE DOE-STD-1047-2008 TABLE OF CONTENTS FOREWORD ....................................................................................................................... i 1. SCOPE AND PURPOSE .........................................................................................1 2. APPLICABILITY ....................................................................................................1 3. NORMATIVE REFERENCES................................................................................2

169

Qualification of in-service examination of the Yankee Rowe reactor pressure vessel  

SciTech Connect

Technical support was provided to assist the Yankee Atomic Electric Company with their restart effort for the Yankee plant in Rowe, Massachusetts. Demonstration of adequate margin during a postulated pressurized thermal shock accident was an important part of the justification for restarting the plant, and effective inservice examination of the critical inner surface of the vessel in the beltline region was a key objective and a significant component of the safety analysis. This report discussed this inservice inspection.

Ammirato, F.; Kietzman, K.; Becker, L.; Ashwin, P.; Selby, G.; Krzywosz, K.; Findlan, S. (Electric Power Research Inst., Charlotte, NC (United States). Nondestructive Evaluation Center); Lance, J. (Yankee Atomic Electric Co., Bolton, MA (United States))

1992-12-01T23:59:59.000Z

170

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

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

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

171

File:App Misc Easement ROW.pdf | Open Energy Information  

Open Energy Info (EERE)

App Misc Easement ROW.pdf App Misc Easement ROW.pdf Jump to: navigation, search File File history File usage Metadata File:App Misc Easement ROW.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 1.54 MB, MIME type: application/pdf, 4 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 09:36, 20 June 2013 Thumbnail for version as of 09:36, 20 June 2013 1,275 × 1,650, 4 pages (1.54 MB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file.

172

File:Guidelines-for-leasing-row-tracts.pdf | Open Energy Information  

Open Energy Info (EERE)

Guidelines-for-leasing-row-tracts.pdf Guidelines-for-leasing-row-tracts.pdf Jump to: navigation, search File File history File usage Metadata File:Guidelines-for-leasing-row-tracts.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 23 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:06, 13 June 2013 Thumbnail for version as of 15:06, 13 June 2013 1,275 × 1,650, 2 pages (23 KB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file.

173

File:03AKBRightOfWaysROWs.pdf | Open Energy Information  

Open Energy Info (EERE)

AKBRightOfWaysROWs.pdf AKBRightOfWaysROWs.pdf Jump to: navigation, search File File history File usage Metadata File:03AKBRightOfWaysROWs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 38 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:00, 3 July 2013 Thumbnail for version as of 12:00, 3 July 2013 1,275 × 1,650 (38 KB) Alevine (Talk | contribs) 09:55, 18 October 2012 Thumbnail for version as of 09:55, 18 October 2012 1,275 × 1,650 (53 KB) Jnorris (Talk | contribs) 10:36, 6 August 2012 Thumbnail for version as of 10:36, 6 August 2012 1,275 × 1,650 (34 KB) Jnorris (Talk | contribs)

174

File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf | Open Energy  

Open Energy Info (EERE)

CAAStateLandLeasingProcessAndLandAccessROWs.pdf CAAStateLandLeasingProcessAndLandAccessROWs.pdf Jump to: navigation, search File File history File usage File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 75 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:03, 29 November 2012 Thumbnail for version as of 16:03, 29 November 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) 12:06, 12 September 2012 Thumbnail for version as of 12:06, 12 September 2012 1,275 × 1,650 (82 KB) Djenne (Talk | contribs) 15:45, 26 June 2012 Thumbnail for version as of 15:45, 26 June 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) June 26th version

175

DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree  

SciTech Connect

Itemset mining has recently focused on discovery of frequent itemsets from high-dimensional datasets with relatively few rows and a larger number of items. With exponentially in-creasing running time as average row length increases, mining such datasets renders most conventional algorithms impracti-cal. Unfortunately, large cardinality closed itemsets are likely to be more informative than small cardinality closed itemsets in this type of dataset. This paper proposes an approach, called DisClose, to extract large cardinality (colossal) closed itemsets from high-dimensional datasets. The approach relies on a memory-efficient Compact Row-Tree data structure to represent itemsets during the search process. The search strategy explores the transposed representation of the dataset. Large cardinality itemsets are enumerated first followed by smaller ones. In addition, we utilize a minimum cardinality threshold to further reduce the search space. Experimental result shows that DisClose can complete the extraction of colossal closed itemsets in the considered dataset, even for low support thresholds. The algorithm immediately discovers closed itemsets without needing to check if each new closed itemset has previously been found.

Zulkurnain, Nurul F.; Keane, John A.; Haglin, David J.

2013-02-01T23:59:59.000Z

176

File:03HIEConstructionUponAStateHighwayROW.pdf | Open Energy Information  

Open Energy Info (EERE)

HIEConstructionUponAStateHighwayROW.pdf HIEConstructionUponAStateHighwayROW.pdf Jump to: navigation, search File File history File usage File:03HIEConstructionUponAStateHighwayROW.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 42 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 13:02, 23 October 2012 Thumbnail for version as of 13:02, 23 October 2012 1,275 × 1,650 (42 KB) Dklein2012 (Talk | contribs) 14:00, 24 July 2012 Thumbnail for version as of 14:00, 24 July 2012 1,275 × 1,650 (35 KB) Alevine (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup

177

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,," ",," " " "," ",,,,,,,,,,,,,,,,,"RSE" "NAICS"," ",,,,,,,,,,,,,,,,,"Row"

178

Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching  

DOE Green Energy (OSTI)

A stabilization and propulsion system comprising a series of loop-coils arranged in parallel rows wherein two rows form a magnetic rail. Levitation and lateral stability is provided when the induced field in the magnetic rails interacts with the superconducting magnets (SCM) mounted on the magnetic levitation vehicle. A multiphase propulsion system interconnects specific coils in a given magnetic rail and interacts with the SCM to produce a propulsion force to the vehicle.

He, J.; Rote, D.M.

1994-12-31T23:59:59.000Z

179

Energy, economic and environmental implications of production of grasses as biomass feedstocks  

DOE Green Energy (OSTI)

Perennial prairie grasses offer many advantages to the developing biofuels industry. High yielding varieties of native prairie grasses such as switchgrass, which combine lower levels of nutrient demand, diverse geographical growing range, high net energy yields and high soil and water conservation potential indicate that these grasses could and should supplement annual row crops such as corn in developing alternative fuels markets. Favorable net energy returns, increased soil erosion prevention, and a geographically diverse land base that can incorporate energy grasses into conventional farm practices will provide direct benefits to local and regional farm economies and lead to accelerated commercialization of conversion technologies. Displacement of row crops with perennial grasses will have major agricultural, economic, sociologic and cross-market implications. Thus, perennial grass production for biofuels offers significant economic advantages to a national energy strategy which considers both agricultural and environmental issues.

Downing, M.; McLaughlin, S.; Walsh, M.

1995-08-01T23:59:59.000Z

180

Perennial grasses for energy and conservation: Evaluating some ecological agricultural, and economic issues  

DOE Green Energy (OSTI)

Perennial prairie grasses offer many advantages to the developing biofuels industry. High yielding varieties of native prairie grasses such as switchgrass, which combine lower levels of nutrient demand, diverse geographical growing range, high net energy yields and high soil and water conservation potential indicate that these grasses could and should supplement annual row crops such as corn in developing alternative fuels markets. Favorable net energy returns, increased soil erosion prevention, and a geographically diverse land base that can incorporate energy grasses into conventional farm practices will provide direct benefits to local and regional farm economies and lead to accelerated commercialization of conversion technologies. Displacement of row crops with perennial grasses will have major agricultural, economic, sociologic and cross-market implications. Thus, perennial grass production for biofuels offers significant economic advantages to a national energy strategy which considers both agricultural and environmental issues.

Downing, M.; Walsh, M.; McLaughlin, S.

1995-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

" Level: National Data;" " Row: NAICS Codes;"  

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

4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" 4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million barrels." ,,,,"Reasons that Made Distillate Fuel Oil Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Distillate Fuel Oil","Unswitchable Distillate","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

182

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Natural Gas(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(f)"

183

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

184

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)"

185

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

1 Consumption Ratios of Fuel, 2006;" 1 Consumption Ratios of Fuel, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" 311,"Food",879.8,5,2.2 3112," Grain and Oilseed Milling",6416.6,17.5,5.7

186

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Table 7.1 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace Coke Oven (excluding or LPG and Natural Gas

187

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Next MECS will be conducted in 2010 Table 7.2 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace

188

" Row: General Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" 1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" " Level: National Data; " " Row: General Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Assistance;" " Unit: Establishment Counts." ,,,," Source of Assistance" "NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Utlity/Energy Suppler","Product/Service Provider","Federal Program","State/Local Program","Don't Know" ,,"Total United States"

189

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Residual Fuel Oil(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

190

Data Sharing Report Characterization of Isotope Row Facilities Oak Ridge National Laboratory Oak Ridge TN  

SciTech Connect

The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support using funds provided by the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested ORAU to plan and implement a survey approach, focused on characterizing the Isotope Row Facilities located at the Oak Ridge National Laboratory (ORNL) for future determination of an appropriate disposition pathway for building debris and systems, should the buildings be demolished. The characterization effort was designed to identify and quantify radiological and chemical contamination associated with building structures and process systems. The Isotope Row Facilities discussed in this report include Bldgs. 3030, 3031, 3032, 3033, 3033A, 3034, 3036, 3093, and 3118, and are located in the northeast quadrant of the main ORNL campus area, between Hillside and Central Avenues. Construction of the isotope production facilities was initiated in the late 1940s, with the exception of Bldgs. 3033A and 3118, which were enclosed in the early 1960s. The Isotope Row facilities were intended for the purpose of light industrial use for the processing, assemblage, and storage of radionuclides used for a variety of applications (ORNL 1952 and ORAU 2013). The Isotope Row Facilities provided laboratory and support services as part of the Isotopes Production and Distribution Program until 1989 when DOE mandated their shutdown (ORNL 1990). These facilities performed diverse research and developmental experiments in support of isotopes production. As a result of the many years of operations, various projects, and final cessation of operations, production was followed by inclusion into the surveillance and maintenance (S&M) project for eventual decontamination and decommissioning (D&D). The process for D&D and final dismantlement of facilities requires that the known contaminants of concern (COCs) be evaluated and quantified and to identify and quantify any additional contaminants in order to satisfy the waste acceptance criteria requirements for the desired disposal pathway. Known facility contaminants include, but are not limited to, asbestos-containing material (ACM), radiological contaminants, and chemical contaminants including polychlorinated biphenyls (PCBs) and metals.

Weaver, Phyllis C

2013-12-12T23:59:59.000Z

191

Observations and comments on the turbine failure at Yankee Atomic Electric Company, Rowe, Massachusetts  

Science Conference Proceedings (OSTI)

A preliminary analysis is presented of the catastrophic disc failure in the low-pressure turbine at the Yankee Rowe nuclear reactor plant. The analysis is based on on-site inspection and documentation of fractured components. Heavily oxidized thumbnail cracks were observed on fractured surfaces of the first-stage generator-end disc, indicating stress corrosion cracking as the precursor to the catastrophic failure of this disc. No evidence of such cracks was seen on the corresponding fractured governor-end disc. We propose a number of alternative possible causes for the failures and for the differences observed between the two discs.

Goldberg, A.; Streit, R.D.

1980-11-15T23:59:59.000Z

192

Financial and Economic Terms  

E-Print Network (OSTI)

This publication lists and defines many financial and economic terms with which producers should be familiar.

McCorkle, Dean; Klinefelter, Danny A.

2008-12-05T23:59:59.000Z

193

Pressurized thermal shock probabilistic fracture mechanics sensitivity analysis for Yankee Rowe reactor pressure vessel  

SciTech Connect

The Nuclear Regulatory Commission (NRC) requested Oak Ridge National Laboratory (ORNL) to perform a pressurized-thermal-shock (PTS) probabilistic fracture mechanics (PFM) sensitivity analysis for the Yankee Rowe reactor pressure vessel, for the fluences corresponding to the end of operating cycle 22, using a specific small-break-loss- of-coolant transient as the loading condition. Regions of the vessel with distinguishing features were to be treated individually -- upper axial weld, lower axial weld, circumferential weld, upper plate spot welds, upper plate regions between the spot welds, lower plate spot welds, and the lower plate regions between the spot welds. The fracture analysis methods used in the analysis of through-clad surface flaws were those contained in the established OCA-P computer code, which was developed during the Integrated Pressurized Thermal Shock (IPTS) Program. The NRC request specified that the OCA-P code be enhanced for this study to also calculate the conditional probabilities of failure for subclad flaws and embedded flaws. The results of this sensitivity analysis provide the NRC with (1) data that could be used to assess the relative influence of a number of key input parameters in the Yankee Rowe PTS analysis and (2) data that can be used for readily determining the probability of vessel failure once a more accurate indication of vessel embrittlement becomes available. This report is designated as HSST report No. 117.

Dickson, T.L.; Cheverton, R.D.; Bryson, J.W.; Bass, B.R.; Shum, D.K.M.; Keeney, J.A. [Oak Ridge National Lab., TN (United States)

1993-08-01T23:59:59.000Z

194

Short-term dynamics of soil carbon, microbial biomass, and soil enzyme activities as compared to longer-term effects of tillage in irrigated row crops  

E-Print Network (OSTI)

rates by tillage and crop rotation: a global data analysis.of tillage in irrigated row crops Daniel Geisseler & Williamthe cropping season in all crop sequences D. Geisseler (*) :

Geisseler, Daniel; Horwath, William R.

2009-01-01T23:59:59.000Z

195

GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW | Open  

Open Energy Info (EERE)

GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW 03AKGUtilityPermitToConstructOnADOTROW (1).pdf Click to View Fullscreen Contact Agencies Alaska Department of Transportation and Public Facilities U S Army Corps of Engineers United States Coast Guard Bureau of Indian Affairs Bureau of Land Management Federal Aviation Administration Alaska Department of Natural Resources Regulations & Policies 11 AAC 195.010: Anadromous Fish 17 AAC 15.021: Application for Utility Permit Triggers None specified Click "Edit With Form" above to add content 03AKGUtilityPermitToConstructOnADOTROW (1).pdf

196

The effects of agricultural land use patterns on pollutant runoff from watersheds: rangeland/pastureland and row cropping  

E-Print Network (OSTI)

Much attention is being focused on water quality in rivers, lakes and streams. One of the contributors of pollution to rivers, lakes and streams is runoff from agriculture in the form of nutrients, pesticides and suspended solids. This study was designed to look at the amount of these substances produced in subwatersheds from corn, grain sorghum and cotton farming along the Colorado River in Travis and Bastrop counties. The study also looked at rangeland and row cropped familand to estimate which land use type produced more runoff and pollution to receiving streams. Best management practices were also looked at as a means of limiting the amount of runoff and pollution transport from row cropped areas. Three automated sampling sites were set up to collect water samples after rainfall events. Two of the sites were set up to sample from streams that drained subwatersheds of a tributary to the Colorado River. The land use at one subwatershed consisted primarily of rangeland and pastureland while the land use at the other site consisted mainly of row cropped farmland. The third site was set up to sample on a row cropped farm that employed certain best management practices. The accepted convention is that rangeland produces less runoff @ row cropped areas and therefore contributes less pollutants to receiving waters. The findings from this project generally support this. Additionally, it was found, through computer modeling, that best management practices in the form of terracing, contour plowing and filter strips significantly reduced the amount of runoff and pollutants that move off site from row cropped areas during rainfall events. The implications of these findings are that, where possible, efforts should be made to implement best management practices to reduce the amount of runoff and pollution to receiving waters. Producers also need to be educated as to how to implement and maintain best management practices to obtain optimal benefits.

Jayne, Andrew A.

1995-01-01T23:59:59.000Z

197

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

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

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

198

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

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

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

199

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

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

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

200

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

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

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

Note: This page contains sample records for the topic "row codea economic" 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

On undrained test using Rowe's relation and Incremental Modelling: Generalisation of the notion of Characteristic State  

E-Print Network (OSTI)

It is recalled that stress-strain incremental modelling is a common feature of most theoretical description of the mechanical behaviour of granular material. An other commonly accepted characteristics of the mechanical behaviour of granular material is the Rowe's relation which links the dilatancy K to the ratio B of vertical-to-lateral stress during a test at constant lateral stress, i.e. B =(1+M)(1+K). Using an incremental modelling, this law shall be interpreted as a pseudo-Poisson coefficient. We combine these two features to solve the problem of an axial compression under undrained condition. We demonstrate that the sample is submitted to a bifurcation of the transcritical type when it reaches the q=Mp line. This allows extending the notion of the characteristic state introduced by Luong to other situations and to anisotropic systems. We show also that these undrained tests are quite appropriate to study the characteristic-state behaviour.

P. Evesque

2005-06-14T23:59:59.000Z

202

Core design study of a supercritical light water reactor with double row fuel rods  

SciTech Connect

An equilibrium core for supercritical light water reactor has been designed. A novel type of fuel assembly with dual rows of fuel rods between water rods is chosen and optimized to get more uniform assembly power distributions. Stainless steel is used for fuel rod cladding and structural material. Honeycomb structure filled with thermal isolation is introduced to reduce the usage of stainless steel and to keep moderator temperature below the pseudo critical temperature. Water flow scheme with ascending coolant flow in inner regions is carried out to achieve high outlet temperature. In order to enhance coolant outlet temperature, the radial power distributions needs to be as flat as possible through operation cycle. Fuel loading pattern and control rod pattern are optimized to flatten power distribution at inner regions. Axial fuel enrichment is divided into three parts to control axial power peak, which affects maximum cladding surface temperature. (authors)

Zhao, C.; Wu, H.; Cao, L.; Zheng, Y. [School of Nuclear Science and Technology, Xi'an Jiaotong Univ., No. 28, Xianning West Road, Xi'an, ShannXi, 710049 (China); Yang, J.; Zhang, Y. [China Nuclear Power Technology Research Inst., Yitian Road, ShenZhen, GuangDong, 518026 (China)

2012-07-01T23:59:59.000Z

203

Novel ultrahigh resolution data acquisition and image reconstruction for multi-detector row CT  

Science Conference Proceedings (OSTI)

We present and evaluate a special ultrahigh resolution mode providing considerably enhanced spatial resolution both in the scan plane and in the z-axis direction for a routine medical multi-detector row computed tomography (CT) system. Data acquisition is performed by using a flying focal spot both in the scan plane and in the z-axis direction in combination with tantalum grids that are inserted in front of the multi-row detector to reduce the aperture of the detector elements both in-plane and in the z-axis direction. The dose utilization of the system for standard applications is not affected, since the grids are moved into place only when needed and are removed for standard scanning. By means of this technique, image slices with a nominal section width of 0.4 mm (measured full width at half maximum=0.45 mm) can be reconstructed in spiral mode on a CT system with a detector configuration of 32x0.6 mm. The measured 2% value of the in-plane modulation transfer function (MTF) is 20.4 lp/cm, the measured 2% value of the longitudinal (z axis) MTF is 21.5 lp/cm. In a resolution phantom with metal line pair test patterns, spatial resolution of 20 lp/cm can be demonstrated both in the scan plane and along the z axis. This corresponds to an object size of 0.25 mm that can be resolved. The new mode is intended for ultrahigh resolution bone imaging, in particular for wrists, joints, and inner ear studies, where a higher level of image noise due to the reduced aperture is an acceptable trade-off for the clinical benefit brought about by the improved spatial resolution.

Flohr, T. G.; Stierstorfer, K.; Suess, C.; Schmidt, B.; Primak, A. N.; McCollough, C. H. [Siemens Medical Solutions, Computed Tomography CTE PA Siemensstr. 1, 91301 Forchheim (Germany) and Department of Diagnostic Radiology, Eberhard-Karls-Universitaet Tuebingen (Germany); Siemens Medical Solutions, Computed Tomography CTE PA Siemensstr. 1, 91301 Forchheim (Germany); Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota (United States)

2007-05-15T23:59:59.000Z

204

Wednesday November 10, 4:01 AM Tokyo 3RD LD: Japan-EU row delays decision on nuke reactor  

E-Print Network (OSTI)

Wednesday November 10, 4:01 AM Tokyo 3RD LD: Japan-EU row delays decision on nuke reactor site (EDS the location to host a global nuclear fusion project during the latest round of talks in Vienna with four other ministry's nuclear fusion development office, told reporters that neither Japan nor the EU is in a mood

205

Economic Development | ornl.gov  

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

Economic Development Carbon Fiber Cluster Strategy Additive Manufacturing Cluster Strategy Entrepreneurial Development Programs Oak Ridge Science and Technology Park Economic...

206

Economic Development and Pollutants.  

E-Print Network (OSTI)

?? The purpose of this paper is to investigate the correlation of economic development and pollutants in Brazil from 1960 to 2008. This investigation is… (more)

Törnros, Sara

2013-01-01T23:59:59.000Z

207

One: California Economic Outlook  

E-Print Network (OSTI)

THE CALIFORNIA ECONOMIC OUTLOOK: AN IMPROVED POWER SITUATIONwas sluggish. An improved outlook for consumer spending inforecast compared with the outlook of UCLA's Anderson

Lieser, Tom K

2002-01-01T23:59:59.000Z

208

Health hazard evaluation report HETA 96-0137-2607, Yankee Atomic Electric Company, Rowe, Massachusetts  

SciTech Connect

In response to a request from the Health and Safety Supervisor at the Yankee Nuclear Power Station (SIC-4911), Rowe, Massachusetts, an investigation was begun into ozone (10028156) exposure during plasma arc cutting and welding. Welders had reported chest tightness, dry cough, and throat and bronchial irritation. The nuclear power station was in the process of being decommissioned, and workers were dismantling components using welding and cutting methods. Of the operations observed during the site visit, the highest ozone concentrations were generated during plasma arc cutting, followed by metal inert gas (MIG) welding and arc welding. During plasma arc cutting the average and peak concentrations exceeded the NIOSH ceiling recommended exposure limit of 0.1 part per million. The author concludes that ozone exposure during plasma arc cutting and MIG welding presented a health hazard to welders. The author recommends that improvements be made in the local exhaust ventilation, that nitrogen-dioxide levels be monitored during hot work, and that many exposed workers wear protective clothing, use ultraviolet blocking lotion, and continue the use appropriate shade of eye protection.

Sylvain, D.C.

1996-10-01T23:59:59.000Z

209

Review of reactor pressure vessel evaluation report for Yankee Rowe Nuclear Power Station (YAEC No. 1735)  

SciTech Connect

The Yankee Atomic Electric Company has performed an Integrated Pressurized Thermal Shock (IPTS)-type evaluation of the Yankee Rowe reactor pressure vessel in accordance with the PTS Rule (10 CFR 50. 61) and a US Regulatory Guide 1.154. The Oak Ridge National Laboratory (ORNL) reviewed the YAEC document and performed an independent probabilistic fracture-mechnics analysis. The review included a comparison of the Pacific Northwest Laboratory (PNL) and the ORNL probabilistic fracture-mechanics codes (VISA-II and OCA-P, respectively). The review identified minor errors and one significant difference in philosophy. Also, the two codes have a few dissimilar peripheral features. Aside from these differences, VISA-II and OCA-P are very similar and with errors corrected and when adjusted for the difference in the treatment of fracture toughness distribution through the wall, yield essentially the same value of the conditional probability of failure. The ORNL independent evaluation indicated RT{sub NDT} values considerably greater than those corresponding to the PTS-Rule screening criteria and a frequency of failure substantially greater than that corresponding to the ``primary acceptance criterion`` in US Regulatory Guide 1.154. Time constraints, however, prevented as rigorous a treatment as the situation deserves. Thus, these results are very preliminary.

Cheverton, R.D.; Dickson, T.L.; Merkle, J.G.; Nanstad, R.K. [Oak Ridge National Lab., TN (United States)

1992-03-01T23:59:59.000Z

210

Review of reactor pressure vessel evaluation report for Yankee Rowe Nuclear Power Station (YAEC No. 1735)  

Science Conference Proceedings (OSTI)

The Yankee Atomic Electric Company has performed an Integrated Pressurized Thermal Shock (IPTS)-type evaluation of the Yankee Rowe reactor pressure vessel in accordance with the PTS Rule (10 CFR 50. 61) and a US Regulatory Guide 1.154. The Oak Ridge National Laboratory (ORNL) reviewed the YAEC document and performed an independent probabilistic fracture-mechnics analysis. The review included a comparison of the Pacific Northwest Laboratory (PNL) and the ORNL probabilistic fracture-mechanics codes (VISA-II and OCA-P, respectively). The review identified minor errors and one significant difference in philosophy. Also, the two codes have a few dissimilar peripheral features. Aside from these differences, VISA-II and OCA-P are very similar and with errors corrected and when adjusted for the difference in the treatment of fracture toughness distribution through the wall, yield essentially the same value of the conditional probability of failure. The ORNL independent evaluation indicated RT{sub NDT} values considerably greater than those corresponding to the PTS-Rule screening criteria and a frequency of failure substantially greater than that corresponding to the primary acceptance criterion'' in US Regulatory Guide 1.154. Time constraints, however, prevented as rigorous a treatment as the situation deserves. Thus, these results are very preliminary.

Cheverton, R.D.; Dickson, T.L.; Merkle, J.G.; Nanstad, R.K. (Oak Ridge National Lab., TN (United States))

1992-03-01T23:59:59.000Z

211

Economic Forecast Report Economic Outlook and Forecasts  

E-Print Network (OSTI)

volatile prices such as food and energy, is even softer, averaging around 1% for the year. Inflation should in our last report, the rebound in economic activity has been weak and uninspiring with below-trend formation is far below desired level, the overall trend is positive. Despite these improve- ments, we fear

de Lijser, Peter

212

Economic Value of Veterinary  

E-Print Network (OSTI)

laboratories such as TVMDL. Without TVMDL's services, Texas would experience both a health and a fiscal crisis Diagnostic Laboratory (TVMDL) works to protect animal and human health through diagnostic testing of samplesEconomic Value of Veterinary Diagnostics Public Investment in Animal Health Testing Yields Economic

213

Wind Economic Development (Postcard)  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides information on the economic development benefits of wind energy. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the economic development benefits section on the Wind Powering America website.

Not Available

2011-08-01T23:59:59.000Z

214

Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching  

DOE Patents (OSTI)

A stabilization and propulsion system comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the super conducting magnets on the vehicle.

He, Jianliang (Naperville, IL); Rote, Donald M. (Lagrange, IL)

1996-01-01T23:59:59.000Z

215

Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching  

DOE Patents (OSTI)

A stabilization and propulsion system are disclosed comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the superconducting magnets on the vehicle. 12 figs.

He, J.; Rote, D.M.

1996-05-21T23:59:59.000Z

216

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" 1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,," ",," " " "," ","Computer Control","of Building-Wide","Environment(b)","or Major","Energy-Using","Equipment(c)","Waste","Heat","Recovery","Adjustable -","Speed","Motors","RSE"

217

Isotopic validation for PWR actinide-only burnup credit using Yankee Rowe data  

Science Conference Proceedings (OSTI)

Safety analyses of criticality control systems for transportation packages include an assumption that the spent nuclear fuel (SNF) loaded into the package is fresh or unirradiated. In other words, the spent fuel is assumed to have its original, as-manufactured U-235 isotopic content. The ``fresh fuel`` assumption is very conservative since the potential reactivity of the nuclear fuel is substantially reduced after being irradiated in the reactor core. The concept of taking credit for this reduction in nuclear fuel reactivity due to burnup of the fuel, instead of using the fresh fuel assumption in the criticality safety analysis, is referred to as ``Burnup Credit.`` Burnup credit uses the actual physical composition of the fuel and accounts for the net reduction of fissile material and the buildup of neutron absorbers in the fuel as it is irradiated. Neutron absorbers include actinides and other isotopes generated as a result of the fission process. Using only the change in actinide isotopes in the burnup credit criticality analysis is referred to as ``Actinide-Only Burnup Credit.`` The use of burnup credit in the design of criticality control systems enables more spent fuel to be placed in a package. Increased package capacity results in a reduced number of storage, shipping and disposal containers for a given number of SNF assemblies. Fewer shipments result in a lower risk of accidents associated with the handling and transportation of spent fuel, thus reducing both radiological and nonradiological risk to the public. This paper describes the modeling and the results of comparison between measured and calculated isotopic inventories for a selected number of samples taken from a Yankee Rowe spent fuel assembly.

NONE

1997-11-01T23:59:59.000Z

218

Essays in financial economics  

E-Print Network (OSTI)

This thesis consists of three essays in financial economics. Chapter 1 is entitled "Inside Debt." Existing theories advocate the use of cash and equity in executive compensation. However, recent empirical studies have ...

Edmans, Alex

2007-01-01T23:59:59.000Z

219

PNNL: Economic Development Office  

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

business looking for a door to the Laboratory? The Economic Development Office at PNNL is here to help you start, grow, or relocate your business. We help you tap into...

220

Displaying Economic Value  

Science Conference Proceedings (OSTI)

The distinction between forecast quality and economic value in a cost–loss formulation is well known. Also well known is their complex relationship, even with some instances of a reversal between the two, where higher quality is associated with ...

Caren Marzban

2012-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

PART ONE: ECONOMIC REVIEW  

E-Print Network (OSTI)

I Policy Environment 1.1 During the year 1999-2000, the Indian economy exhibited a good degree of resilience. Economic growth continued to be in line with the trend in the post 1991 period, notwithstanding

unknown authors

2000-01-01T23:59:59.000Z

222

Economic Policy Rationales and Studies  

Science Conference Proceedings (OSTI)

... on Economic Growth. Brief No. 13-3: The Economic Benefits from Improved Cyber Security Infrastructure. Brief No. 13-4: Beyond ...

2013-06-28T23:59:59.000Z

223

On Impacts of Economic Growth.  

E-Print Network (OSTI)

??This thesis presents four papers on impacts of economic growth. The results indicate that faster economic growth improves the short-run political survival prospects of national… (more)

Burke, Paul John

2011-01-01T23:59:59.000Z

224

Boiler Stack Economizer Tube Failure  

Science Conference Proceedings (OSTI)

Presentation Title, Boiler Stack Economizer Tube Failure ... performed to investigate the failure of a type 304 stainless steel tube from a boiler stack economizer.

225

Transportation Economic Assistance Program (Wisconsin)  

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

The Transportation Economic Assistance Program provides state grants to private business and local governments to improve transportation to projects improving economic conditions and creating or...

226

Argonne TDC: Regional Economic Development  

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

Regional Economic Development Argonne participates in economic development activities with State of Illinois agencies and programs, business and industrial organizations, and...

227

Minority Economic Impact | Department of Energy  

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

Minority Economic Impact Minority Economic Impact Diversity and Inclusion Supporting Small Businesses Minority Economic Impact Partnering with Minority Serving Institutions...

228

" Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"  

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

8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" 8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components" ,,,,"Electricity","Electricity",,,"Natural Gas","Natural Gas",,,"Steam","Steam" " "," ",,,"from Only","from Both",,,"from Only","from Both",,,"from Only","from Both"," ",," "

229

Microsoft PowerPoint - 6_Rowe-Future Challenges for Global Fuel Cycle Material Accounting Final_Updated.pptx  

National Nuclear Security Administration (NNSA)

Future Challenges Future Challenges for Global Fuel Cycle Material Accounting Nathan Rowe Chris Pickett Oak Ridge National Laboratory Nuclear Materials Management & Safeguards System Users Annual Training Meeting May 20-23, 2013 St. Louis, Missouri 2 Future Challenges for Global Fuel Cycle Material Accounting Introduction * Changing Nuclear Fuel Cycle Activities * Nuclear Security Challenges * How to Respond? - Additional Protocol - State-Level Concept - Continuity of Knowledge * Conclusion 3 Future Challenges for Global Fuel Cycle Material Accounting Nuclear Fuel Cycle Source: International Atomic Energy Agency (IAEA), Nuclear Fuel Cycle Information System (NFCIS) web site IAEA Safeguards Begins Here 4 Future Challenges for Global Fuel Cycle Material Accounting Nuclear Weapons Cycle Conversion

230

Technical evaluation of the adequacy of station electric distribution system voltages for the Yankee Rowe Nuclear Power Station  

SciTech Connect

This report documents the technical evaluation of the adequacy of the station electric distribution system voltages for the Yankee Rowe Nuclear Power Station. The evaluation is to determine if the onsite distribution system, in conjunction with the offsite power sources, has sufficient capacity to automatically start and operate all Class 1E loads within the equipment voltage ratings under certain conditions established by the Nuclear Regulatory Commission. The analysis shows that the station electric distribution system has the capacity and capability to supply voltage to the Class 1E equipment with their design ratings for the worst case loading condition.

Selan, J.C.

1981-05-29T23:59:59.000Z

231

Interaction between economic dynamical systems  

Science Conference Proceedings (OSTI)

The paper considers economic dynamical systems, the state spaces being the Riemannian manifolds. Between two economic dynamical systems, global feedforward and the feedback interaction is defined and the connection between their linearization and prolongation ... Keywords: economic dynamical system, economic flow, feedback, feedforward, linearization, prolongation by derivation

Constantin Patrascoiu

2009-07-01T23:59:59.000Z

232

Power Economic Analysis  

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

CRSP Management Center CRSP Management Center Western Area Power Administration January 2011 Power Economic Analysis of Operational Restrictions at Glen Canyon Dam In February, 1997, the operating criteria for Glen Canyon Dam were changed. Operation was restricted to a Modified Low Fluctuating Flow as described in the Operation of Glen Canyon Dam, Colorado River Storage Project, Arizona, Final Environmental Impact Statement, March, 1995. These restrictions reduced the operating flexibility of the hydroelectric power plant and therefore the economic value of the electricity it produced. The Environmental Impact Statement provided impact information to support the Record of Decision governing dam operations. The impact

233

Economics of ALMR deployment  

SciTech Connect

The Advanced Liquid Metal Reactor (ALMR) has the potential to extend the economic life of the nuclear option and of reducing the number of high level waste repositories which will eventually be needed in an expanding nuclear economy. This paper reports on an analysis which models and evaluates the economics of the use of ALMRs as a component of this country`s future electricity generation mix. The ALMR concept has the ability to utilize as fuel the fissile material contained in previously irradiated nuclear fuel (i.e., spent fuel) or from surplus weapons grade material. While not a requirement for the successful deployment of ALMR power plant technology, the reprocessing of spent fuel from light water reactors (LWR) is necessary for any rapid introduction of ALMR power plants. In addition, the reprocessing of LWR spent fuel may reduce the number of high level waste repositories needed in the future by burning the long-lived actinides produced in the fission process. With this study, the relative economics of a number of potential scenarios related to these issues are evaluated. While not encompassing the full range of all possibilities, the cases reported here provide an indication of the potential costs, timings, and relative economic attractiveness of ALMR deployment.

Delene, J.G.; Fuller, L.C.; Hudson, C.R.

1994-12-31T23:59:59.000Z

234

Programming Languages in Economics  

Science Conference Proceedings (OSTI)

Young economists sometimes ask which computer programming languages they should learn. This paper answers that question by suggesting that they begin with a high level language like GAUSS, GAMS, Mathematica, Maple or MATLAB depending on their field ... Keywords: computational economics, computer languages, programming languages, software

David A. Kendrick; Hans M. Amman

1999-10-01T23:59:59.000Z

235

Opportunity and Economic  

E-Print Network (OSTI)

-feet powered by green energy. This could include heating with wood pellet-fired boilers, putting solar panels of projects related to wood pellet emissions, operations, economics, and applications. The facility would research partnerships, and be an architectural prototype for natural materials, innovative wood products

Northern British Columbia, University of

236

Publications Agricultural Economics  

E-Print Network (OSTI)

. (2012). Economics of IPM Decisions. Stored Product Protection (1- 9). Manhattan, KS: Kansas State (1-11). Manhattan, KS: Kansas State. http://entomology.k-state.edu/doc/finished- chapters/s156-ch-27 of Food and Agriculture­ Conservation Effects Assessment Project. How to Build Better Agricultural

237

Using Economic Input/Output Tables to Predict a Country’s Nuclear Status  

Science Conference Proceedings (OSTI)

Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nation’s efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a country’s or region’s economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industry’s output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

2010-07-15T23:59:59.000Z

238

Economic Impact & Diversity  

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

ECONOMIC IMPACT AND DIVERSITY ECONOMIC IMPACT AND DIVERSITY FOURTH QUARTER STATUS (As of August 10, 2006) Executive Summary: ED is responsible for managing the department's on-going small business programs, Affirmative Action programs, Employee Concerns program, EEO programs, and the Department's Minority Education program. ED serves as the support office for department-wide efforts to broaden and/or diversify the Department's base as it relates to employment, contracting and financial assistance awards. Where we are today: ED finalized the reorganization/restructuring process which reduced the offices within ED from five to three. Along with this process, ED moved the Employee Concerns and Special Emphasis activities and personnel to the Office of Civil Rights and Diversity

239

Economics of geothermal energy  

DOE Green Energy (OSTI)

A selected summary is presented of the resource, technical, and financial considerations which influence the economics of geothermal energy in the US. Estimates of resource base and levelized busbar cost of base load power for several types of geothermal resources are compared with similar estimates for more conventional energy resources. Current geothermal electric power plants planned, under construction, and on-line in the US are noted.

Morris, G.E.; Tester, J.W.; Graves, G.A.

1980-01-01T23:59:59.000Z

240

Energy, Environmental & Economic Systems Analysis  

E-Print Network (OSTI)

Energy, Environmental & Economic Systems Analysis GTMax: A New Deregulated Power Market Analysis Tool Opportunity Decision and Information Sciences Division Center for Energy, Environmental & Economic hourly energy transactions, costs, and revenues. GTMax has a user-friendly geographical information

Kemner, Ken

Note: This page contains sample records for the topic "row codea economic" 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

TRANSPORTATION POLICY AND ECONOMIC DEVELOPMENT  

E-Print Network (OSTI)

TRANSPORTATION POLICY AND ECONOMIC DEVELOPMENT: OUR CHOICE FOR THE FUTURE Proceedings from PROCEEDINGS North Dakota's Transportation Network: Our Choice for the Future Program Biographical Sketches PROCEEDINGS Transportation and Economic Development: Our Choice for the Future Program Biographical Sketches

Levinson, David M.

242

Refund for Economic Development (Texas)  

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

The Refund for Economic Development under the Tax Code for state tax refunds for economic development. Some Texas property owners may be eligible to receive refunds of state sales and use taxes and...

243

One: The California Economic Outlook  

E-Print Network (OSTI)

THE CALIFORNIA ECONOMIC OUTLOOK Christopher Thornberg,signs of having peaked. The outlook for 2006 is dominated by

Thornberg, Christopher

2006-01-01T23:59:59.000Z

244

CONDENSING ECONOMIZERS FOR SMALL COAL-FIRED BOILERS AND FURNACES PROJECT REPORT - JANUARY 1994  

SciTech Connect

Condensing economizers increase the thermal efficiency of boilers by recovering sensible and latent heat from exhaust gas. These economizers are currently being used commercially for this purpose in a wide range of applications. Performance is dependent upon application-specific factors affecting the utility of recovered heat. With the addition of a condensing economizer boiler efficiency improvements up to 10% are possible. Condensing economizers can also capture flue gas particulates. In this work, the potential use of condensing economizers for both efficiency improvement and control of particulate emissions from small, coal water slurry-fired boilers was evaluated. Analysis was done to predict heat transfer and particulate capture by mechanisms including: inertial impaction, interception, diffusion, thermophoretic forces, and condensation growth. Shell-and-tube geometries were considered with flue gas on the outside of Teflon-covered tubes. Experimental studies were done with both air- and water-cooled economizers refit to a small boiler. Two experimental arrangements were used including oil-firing with injection of flyash upstream of the economizer and direct coal water slurry firing. Firing rates ranged from 27 to 82 kW (92,000 to 280,000 Btu/hr). Inertial impaction was found to be the most important particulate capture mechanism and removal efficiencies to 95% were achieved. With the addition of water sprays directly on the first row of tubes, removal efficiencies increased to 98%. Use of these sprays adversely affects heat recovery. Primary benefits of the sprays are seen to be the addition of small impaction sites and future design improvements are suggested in which such small impacts are permanently added to the highest velocity regions of the economizer. Predicted effects of these added impactors on particulate removal and pressure drop are presented.

BUTCHER,T.A.

1994-01-04T23:59:59.000Z

245

Economic doctrines and network policy  

Science Conference Proceedings (OSTI)

Disagreements over how to craft Internet policy have become more and more contentious and political. Beyond the technical and engineering aspects are economic questions, and the points of view of various stakeholders and participants on such network ... Keywords: Broadband, Copyright, Doctrines, Economic ideology, Neoclassical economics, Net neutrality, Privacy

Robert D. Atkinson

2011-06-01T23:59:59.000Z

246

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,,," " "NAICS" "Code(a)","Subsector and Industry","Establishments(b)","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know"

247

Retrofit Air Preheat Economics  

E-Print Network (OSTI)

Retrofit air preheat systems are the most reliable and efficient means to effect significant energy conservation for large existing industrial furnaces. Units can be quickly installed without a lengthy shutdown, and the furnace efficiency can be increased to a range of 89% to 92%. The economic justification for the addition of this equipment is presented in new total investment curves and simple payout curves for a range of fuel cost. This will enable the owner to quickly determine the preliminary feasibility and conceptual requirements for his project before proceeding with more vigorous work.

Goolsbee, J. A.

1981-01-01T23:59:59.000Z

248

Estimation, Economic methodology  

E-Print Network (OSTI)

In this paper I analyse the main strengths and weaknesses of agent-based computational models. I first describe how agent-based simulations can complement more traditional modelling techniques. Then, I rationalise the main theoretical critiques against the use of simulation, which point to the following problematic areas: (i) interpretation of the simulation dynamics, (ii) estimation of the simulation model, and (iii) generalisation of the results. I show that there exist solutions for all these issues. Along the way, I clarify some confounding differences in terminology between the computer science and the economic literature.

Matteo Richiardi; Laboratorio Riccardo; Revelli Centre; Employment Studies; I’m Indebted Francesco Devicienti; Roberto Leombruni; Bruno Contini For Their

2004-01-01T23:59:59.000Z

249

ROW BY ROW METHODS FOR SEMIDEFINITE PROGRAMMING ...  

E-Print Network (OSTI)

Apr 28, 2009 ... Research supported in part by NSF Grant DMS. 06-06712, ONR Grant N00014- 08-1-1118 and DOE Grant DE-FG02-08ER58562. 1 ...

250

table6.4_02.xls  

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

4 Consumption Ratios of Fuel, 2002; 4 Consumption Ratios of Fuel, 2002; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value RSE NAICS per Employee of Value Added of Shipments Row Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Factors Total United States RSE Column Factors: 1.1 1 1 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 395.7 4.3 2.3 3.6 50-99 663.4 6.8 3.3 5 100-249 905.8 7.9 3.8 3.6 250-499 1,407.1 11.1 5.1 4.3 500-999 1,999.6 12.4 5.9 5.6 1000 and Over 1,597.7 8.5 3.9 2.5 Total 1,172.2 8.9 4.2 2 311 FOOD Employment Size Under 50 893.5 6.6 2.4

251

table6.3_02.xls  

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

3 Consumption Ratios of Fuel, 2002; 3 Consumption Ratios of Fuel, 2002; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value RSE NAICS per Employee of Value Added of Shipments Row Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Factors Total United States RSE Column Factors: 1 1 1 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 281.0 3.9 2.2 3 20-49 583.7 6.1 3.0 4.6 50-99 889.2 8.1 3.8 4.9 100-249 1,268.8 8.7 4.1 4.6 250-499 2,146.6 11.2 5.3 7.6 500 and Over 3,807.1 12.5 5.4 2.3 Total 1,172.2 8.9 4.2 2 311 FOOD Value of Shipments and Receipts

252

MTBE Production Economics  

Gasoline and Diesel Fuel Update (EIA)

MTBE Production MTBE Production Economics Tancred C. M. Lidderdale Contents 1. Summary 2. MTBE Production Costs 3. Relationship between price of MTBE and Reformulated Gasoline 4. Influence of Natural Gas Prices on the Gasoline Market 5. Regression Results 6. Data Sources 7. End Notes 1. Summary Last year the price of MTBE (methyl tertiary butyl ether) increased dramatically on two occasions (Figure 1) (see Data Sources at end of article.): 1. Between April and June 2000, the price (U.S. Gulf Coast waterborne market) of MTBE rose from $1.00 per gallon to over $1.60 per gallon. This represented an increase in the price premium for MTBE over the wholesale price of conventional gasoline from its normal (1995 though 2000 average) $0.26 per gallon to $0.60 per gallon. The MTBE

253

PNNL: Economic Development Office  

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

Events Calendar Events Calendar left arrow January 2014 right arrow Su Mo Tu We Th Fr Sa 29 30 31 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 1 2 3 4 5 6 7 8 Scheduled events for January 4, 2014 Calendar contains no events. Past Events 2013 September 20, 2013 - Startup Weekend Tri-Cities January 29, 2013 - PTAC Class: Developing Your Capability Statement January 24, 2013 - Economic Outlook Summit January 23, 2013 - Women in Business Conference January 10, 2013 - Venture Investment and Partnering Forum January 07, 2013 - New Routes for U.S.-Japan Collaboration / Ambassadorial Outreach Tour 2012 November 29, 2012 - Innovation Summit October 18, 2012 - Funding for Startups from the National Cancer Institute October 11, 2012 - Career Fair October 09, 2012 - Understanding Government Contracting Solicitations

254

AND RESOURCE ECONOMICS  

E-Print Network (OSTI)

This report studies the economic impacts of energy policies and climate adaptation generally, and particularly as this relates to employment and innovation. In addition to disseminating original research findings, this study is intended to contribute to policy dialogue and public awareness about environment-economy linkages and sustainable growth. All opinions expressed here are those of the authors and should not be attributed to their affiliated institutions. For this project on Energy Efficiency, Innovation, and Job Creation in California, we express thanks to Next 10, who recognized the importance of this issue for California’s economy and provided essential intellectual impetus and financial support. Thanks are also due for outstanding research assistance by Elliott Deal,

David Roland-holst; Dave Graham-squire; Maryam Kabiri; Fredrich Kahrl; Mehmet Seflek; F. Noel Perry; Morrow Cater; Sarah Henry

2008-01-01T23:59:59.000Z

255

Community Economic Development Business Program (Prince Edward...  

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

Community Economic Development Business Program (Prince Edward Island, Canada) Community Economic Development Business Program (Prince Edward Island, Canada) Eligibility...

256

ECONOMIC REPORT OF THE PRESIDENT  

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

ECONOMIC REPORT ECONOMIC REPORT OF THE PRESIDENT Economic Report of the President | 3 ECONOMIC REPORT OF THE PRESIDENT To the Congress of the United States: Over the past 6 years of economic expansion, the American economy has proven its strength and resilience. Job creation grew uninterrupted for a record period of time, inflation remains moderate, unemployment is low, and productivity continues to grow. The economy is built upon a strong foundation, with deep and sophisticated capital markets, flexible labor markets, low taxes, and open trade and investment policies. Americans should be confident about the long-term strength of our economy, but our economy is undergoing a period of uncertainty, and there are heightened risks to our near-term economic growth. To insure against

257

Economics of Steam Pressure Reduction  

E-Print Network (OSTI)

Economics of Steam Pressure Reduction is a technical paper that addresses the operating and economic advantages associated with the program to lower the steam operating pressure. Evaluation of a testing program will be discussed. The paper will address the following. 1. Factors that determine the feasibility of reducing the plant steam operating pressure. 2. The operating advantages and disadvantages associated with the decreased steam pressure. 3. The economics of steam pressure reduction. Appropriate visual aids will be utilized as part of the discussion.

Sylva, D. M.

1985-05-01T23:59:59.000Z

258

The Economics of Green Building  

E-Print Network (OSTI)

returns to the investments in green buildings. Section Vproperty investments; the economic premium to green buildinggreen buildings relative to those of comparable high quality property investments,

Eichholtz, Piet; Kok, Nils; Quigley, John M.

2010-01-01T23:59:59.000Z

259

Economical Desulfurization of Petroleum Coke  

Science Conference Proceedings (OSTI)

Presentation Title, Economical Desulfurization of Petroleum Coke ... " Desulfurization of Petroleum Coke Beyond 1600'C" by Christopher A. Paul of Great Lakes ...

260

Agricultural and Resource Economics Update  

E-Print Network (OSTI)

Europe. It is producing biodiesel from veg- etable oil, fromsuch as Jatropha, for biodiesel. Some industrial forestsfor the production of biodiesel. The econom- ics of algae as

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

Economic Recovery Loan Program (Maine)  

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

The Economic Recovery Loan Program provides subordinate financing to help businesses remain viable and improve productivity. Eligibility criteria are based on ability to repay, and the loan is...

262

Agricultural and Resource Economics Update  

E-Print Network (OSTI)

econom- ics of algae as a source of biofuel is dependent onThe future of algae as a source of biofuel will depend on

2011-01-01T23:59:59.000Z

263

Diversity, Institutions and Economic Outcomes  

E-Print Network (OSTI)

GDP growth and social diversity, the economics literature onmush- roomed. 1 Why is social diversity inversely related toand Hideo Owan. 2004. ”Diversity and Pro- ductivity in

Santacreu Vasut, Estefania

2010-01-01T23:59:59.000Z

264

National Reservation Economic Summit (RES)  

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

Sponsored by the National Center for American Indian Economic Development, this annual event will feature 18 dynamic and informative workshops on a range of topics, including agriculture, energy,...

265

World Fossil Fuel Economics - TMS  

Science Conference Proceedings (OSTI)

Jan 1, 1971 ... World Fossil Fuel Economics ... in world energy demand, particularly in the U. S. and Europe; the consumption patterns and cost patterns of oil, ...

266

Economical Condensing Turbines?  

E-Print Network (OSTI)

Steam turbines have long been used at utilities and in industry to generate power. There are three basic types of steam turbines: condensing, letdown and extraction/condensing. • Letdown turbines reduce the pressure of the incoming steam to one or more pressures and generate power very efficiently, assuming that all the letdown steam has a use. Two caveats: Letdown turbines produce power based upon steam requirements and not based upon power requirements, and if all the steam letdown does not have a use, letdown turbines can become a very expensive way of producing electric power. • Condensing turbines have the ability to handle rapid swings in electrical load. Unfortunately, they can only condense a small percentage of the steam, usually less than 14%. Therefore only a small percent of the heat of condensation is available for their use. Also equipment must be used to condense the remaining steam below atmospheric pressure. • Extraction/condensing turbines both extract steam at a useful temperature and pressure and then condense the remainder of the steam. These units have the ability to load follow also. They are often used in concert with gas turbines to produce the balance of electrical power and to keep a electric self generator from drawing electrical power from the grid. The method for analyzing the cost of the condensing steam produced power is exactly the same in all cases. This paper will attempt to provide a frame work for preliminary economic analysis on electric power generation for condensing steam turbines.

Dean, J. E.

1997-04-01T23:59:59.000Z

267

Magnetic fusion reactor economics  

SciTech Connect

An almost primordial trend in the conversion and use of energy is an increased complexity and cost of conversion systems designed to utilize cheaper and more-abundant fuels; this trend is exemplified by the progression fossil fission {yields} fusion. The present projections of the latter indicate that capital costs of the fusion ``burner`` far exceed any commensurate savings associated with the cheapest and most-abundant of fuels. These projections suggest competitive fusion power only if internal costs associate with the use of fossil or fission fuels emerge to make them either uneconomic, unacceptable, or both with respect to expensive fusion systems. This ``implementation-by-default`` plan for fusion is re-examined by identifying in general terms fusion power-plant embodiments that might compete favorably under conditions where internal costs (both economic and environmental) of fossil and/or fission are not as great as is needed to justify the contemporary vision for fusion power. Competitive fusion power in this context will require a significant broadening of an overly focused program to explore the physics and simbiotic technologies leading to more compact, simplified, and efficient plasma-confinement configurations that reside at the heart of an attractive fusion power plant.

Krakowski, R.A.

1995-12-01T23:59:59.000Z

268

Competitive economics of nuclear power  

Science Conference Proceedings (OSTI)

Some 12 components of a valid study of the competitive economics of a newly ordered nuclear power plant are identified and explicated. These are then used to adjust the original cost projections of four authoritative studies of nuclear and coal power economics.

Hellman, R.

1981-03-02T23:59:59.000Z

269

Energy, Environmental & Economic Systems Analysis  

E-Print Network (OSTI)

Market Simulations Opportunity Decision and Information Sciences Division Center for EnergyEnergy, Environmental & Economic Systems Analysis ENPEP-BALANCE: A Tool for Long-term Nuclear Power, Environmental & Economic Systems Analysis A resurgence of interest in nuclear energy is taking place

Kemner, Ken

270

Economic Development | ornl.gov  

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

Success Stories Success Stories Commercialization and Licensing Economic Development Industrial Partnerships Sponsored Research Partnerships Home | Connect with ORNL | For Industry | Partnerships | Success Stories | Economic Development Success Stories Economic Development 1-3 of 3 Results ORNL and Enterprise Center Help Revitalize Chattanooga September 02, 2011 - The Enterprise Center, through its technology-based economic development initiatives, is focused on economic transformation in Chattanooga, Hamilton County, and the Tennessee Valley Corridor region. Seven Companies Selected for ORNL Mentor Protégé Program November 28, 2012 - Seven companies have been selected to participate in the mentor protégé program sponsored by ORNL. The program is a DOE initiative designed to assist energy-related companies in an effort to

271

Economic Sustainability and Ecological Compatibility  

E-Print Network (OSTI)

BY JESSICA CLEMENT Economic Sustainability Preserve our current industrial capacity Talk Xcel Corporation 9 Edwards Rich Colorado State Forest Service 10 Edwards Sally Xcel Energy 11 Ewy Don Focused

272

Renewing Economically Distressed American Communities  

E-Print Network (OSTI)

All communities do not fare equally well after recessions and other economic shocks. Some bounce back fairly quickly. Others suffer more and take longer to recover—sometimes decades longer. A sluggish return to growth is ...

Greenstone, Michael

273

Complexity Economics: A Different Framework  

E-Print Network (OSTI)

in the gross profits References Aghion P, Howitt P (1992) A model of growth through creative destruction IV van Dijk TWP (1994) The limits of patent protection. Essays on the Economics of Intellectual

Tesfatsion, Leigh

274

Economic viability of biogas technology  

SciTech Connect

Biogas has emerged as a suitable technology for providing alternative and additional sources of energy, especially for rural areas of developing countries. Although the experience gained in China and India established its technological success, social scientists are still involved in the controversial issue of its economic viability. The available literature presents very contradictory situations, ranging between the two extreme poles of high economic viability and nonviability. Such contradictory conclusions are derived since economic benefits from the technology are influenced by a number of factors. A review of the literature reveals that various factors are either not considered, or that the economics have been worked out assuming a very ideal situation, while biogas plants are operating under very different conditions. Using the coal replacement method even as coal is seldom used by villages is only a single example of this approach. In most of the developing countries, rural populations depend mainly on non-commercial fuels like firewood, dungcakes, agricultural wastes and leaves for cooking and heating purposes. Under the present technological limitations, biogas can most commonly be used for cooking and lighting. For testing the economic viability of biogas systems, a number of authors have considered the benefits in terms of savings in traditional fuels. But considering the actual thermal efficiency of different non-commercial fuel items, as well as biogas, it has still be be decided at what point of the market prices of fuel items that the biogas system becomes economically viable and remains viable. The present paper thus reviews different approaches adopted and suggested for working out the economics or the cost-benefit ratio of the biogas technology at the first stage, and then spells out the factors influencing the economic benefits of the technology under various situations, with the help of empirical

Agrawal, S.C.; Agrawal, S.; Khare, O.P.

1983-12-01T23:59:59.000Z

275

14.731 Economic History, Fall 2003  

E-Print Network (OSTI)

A survey of world economic history, designed to introduce economics graduate students to the subject matter and methodology of economic history. Topics chosen to show a wide variety of historical experience and illuminate ...

Temin, Peter

276

" Row: End Uses;"  

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

" Conventional Boiler Use",3199,12,4,1271,2,11,5.6 " CHP andor Cogeneration Process",3515,8,2,834,"*",23,3.8 "Direct Uses-Total Process",768929,10,7,2907,16,17...

277

" Row: End Uses;"  

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

Fuel",12979,7,3,2074,3,26 " Conventional Boiler Use",12979,3,1,712,1,3 " CHP andor Cogeneration Process","--",4,3,1362,2,23 "Direct Uses-Total Process",675152,4,9,2549,7,13 "...

278

" Row: End Uses;"  

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

l",84,133,23,2119,8,547 " Conventional Boiler Use",84,71,17,1281,8,129 " CHP andor Cogeneration Process",0,62,6,838,1,417 "Direct Uses-Total Process",2639,62,52,2788,39,412 "...

279

" Row: NAICS Codes;" " ...  

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

Only","Other than","and","Any","from Only","Other than","and" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

280

Attribution of climate forcing to economic sectors  

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

Attribution of climate forcing to economic sectors Title Attribution of climate forcing to economic sectors Publication Type Journal Article Year of Publication 2010 Authors Unger,...

Note: This page contains sample records for the topic "row codea economic" 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

Economic and Environmental Optimization of Microgrids  

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

Economic and Environmental Optimization of Microgrids Title Economic and Environmental Optimization of Microgrids Publication Type Presentation Year of Publication 2013 Authors...

282

Data Center Economizer Contamination and Humidity Study  

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

Us Department Contacts Media Contacts Data Center Economizer Contamination and Humidity Study Title Data Center Economizer Contamination and Humidity Study Publication Type...

283

Advanced Coal Wind Hybrid: Economic Analysis  

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

Coal Wind Hybrid: Economic Analysis Title Advanced Coal Wind Hybrid: Economic Analysis Publication Type Report LBNL Report Number LBNL-1248E Year of Publication 2008 Authors...

284

Advanced Coal Wind Hybrid: Economic Analysis  

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

Advanced Coal Wind Hybrid: Economic Analysis Title Advanced Coal Wind Hybrid: Economic Analysis Publication Type Report Year of Publication 2008 Authors Phadke, Amol, Charles A....

285

The Economic Impact of Oil Spills  

U.S. Energy Information Administration (EIA)

Oil spills not only affect environmentally but also economically. The economic impacts are directly or indirectly related to the environmental impacts ...

286

Economic Impact & Diversity (WCF) | Department of Energy  

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

Economic Impact & Diversity (WCF) Economic Impact & Diversity (WCF) The purpose of the workforce Plan is to provide focus and direction to Human Resources (HR) strategy. This will...

287

Economic Dispatch of Electric Generation Capacity | Department...  

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

Economic Dispatch of Electric Generation Capacity Economic Dispatch of Electric Generation Capacity A report to congress and the states pursuant to sections 1234 and 1832 of the...

288

Resource & Energy Investment Program - First Peoples Economic...  

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

& Energy Investment Program - First Peoples Economic Growth Fund Inc. (Manitoba, Canada) Resource & Energy Investment Program - First Peoples Economic Growth Fund Inc....

289

Revolving Economic Development and Initiative (South Dakota)  

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

The Revolving Economic Development and Initiative (REDI) provides low interest loans to start-up firms, businesses that are expanding or relocating and local economic development corporations. The...

290

Economic potential of inertial fusion  

SciTech Connect

Beyond the achievement of scientific feasibility, the key question for fusion energy is: does it have the economic potential to be significantly cheaper than fission and coal energy. If fusion has this high economic potential then there are compelling commercial and geopolitical incentives to accelerate the pace of the fusion program in the near term, and to install a global fusion energy system in the long term. Without this high economic potential, fusion's success depends on the failure of all alternatives, and there is no real incentive to accelerate the program. If my conjectures on the economic potential of inertial fusion are approximately correct, then inertial fusion energy's ultimate costs may be only half to two-thirds those of advanced fission and coal energy systems. Relative cost escalation is not assumed and could increase this advantage. Both magnetic and inertial approaches to fusion potentially have a two-fold economic advantage which derives from two fundamental properties: negligible fuel costs and high quality energy which makes possible more efficient generation of electricity. The wining approach to fusion may excel in three areas: electrical generating efficiency, minimum material costs, and adaptability to manufacture in automated factories. The winning approach must also rate highly in environmental potential, safety, availability factor, lifetime, small 0 and M costs, and no possibility of utility-disabling accidents.

Nuckolls, J.H.

1984-04-01T23:59:59.000Z

291

Energy Efficiency Economics and Policy  

E-Print Network (OSTI)

Energy efficiency and conservation are considered key means for reducing greenhouse gas emissions and achieving other energy policy goals, but associated market behavior and policy responses have engendered debates in the economic literature. We review economic concepts underlying consumer decisionmaking in energy efficiency and conservation and examine related empirical literature. In particular, we provide an economic perspective on the range of market barriers, market failures, and behavioral failures that have been cited in the energy efficiency context. We assess the extent to which these conditions provide a motivation for policy intervention in energy-using product markets, including an examination of the evidence on policy effectiveness and cost. While theory and empirical evidence suggest there is potential for welfare-enhancing energy efficiency policies, many open questions remain, particularly relating to the extent of some of the key market and behavioral failures.

Kenneth Gillingham; Richard G. Newell; Karen Palmer

2009-01-01T23:59:59.000Z

292

The Economics of Cogeneration Selection  

E-Print Network (OSTI)

The design and choice of a specific cogeneration system is a process of selecting and deciding from numerous alternatives, including the option not to cogenerate. The final system specification is in reality the result of an extensive tradeoff analysis. The reason for performing a thorough tradeoff analysis is to design a cogeneration system that will meet or surpass stated technical, operational and economic criteria. This paper outlines the steps necessary to select the preferred cogeneration system through the use of standard economic evaluation techniques.

Fisk, R. W.; Hall, E. W.; Sweeney, J. H.

1985-05-01T23:59:59.000Z

293

Virginia Coalfield Economic Development Authority (Virginia) | Department  

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

Virginia Coalfield Economic Development Authority (Virginia) Virginia Coalfield Economic Development Authority (Virginia) Virginia Coalfield Economic Development Authority (Virginia) < Back Eligibility Commercial Construction Industrial Program Info Start Date 1990 State Virginia Program Type Industry Recruitment/Support Loan Program Public Benefits Fund Provider Virginia Coalfield Economic Development Authority The Virginia Coalfield Economic Development Authority (VACEDA) was created in 1988 to encourage economic development in the western section of the state. The Authority administers incentive and financing programs designed to encourage new job creation and economic diversification, specifically in the electronic information technology, energy, education, and emerging technology sectors. VCEDA provides financial support for fixed assets,

294

Economics of natural gas upgrading  

SciTech Connect

Natural gas could be an important alternative energy source in meeting some of the market demand presently met by liquid products from crude oil. This study was initiated to analyze three energy markets to determine if greater use could be made of natural gas or natural gas derived products and if those products could be provided on an economically competitive basis. The three markets targeted for possible increases in gas use were motor fuels, power generation, and the chemical feedstocks market. The economics of processes to convert natural gas to transportation fuels, chemical products, and power were analyzed. The economic analysis was accomplished by drawing on a variety of detailed economic studies, updating them and bringing the results to a common basis. The processes analyzed included production of methanol, MTBE, higher alcohols, gasoline, CNG, and LNG for the transportation market. Production and use of methanol and ammonia in the chemical feedstock market and use of natural gas for power generation were also assessed. Use of both high and low quality gas as a process feed stream was evaluated. The analysis also explored the impact of various gas price growth rates and process facility locations, including remote gas areas. In assessing the transportation fuels market the analysis examined production and use of both conventional and new alternative motor fuels.

Hackworth, J.H.; Koch, R.W.

1995-07-01T23:59:59.000Z

295

Variational Inequalities and Economic Equilibrium  

Science Conference Proceedings (OSTI)

Variational inequality representations are set up for a general Walrasian model of consumption and production with trading in a market. The variational inequalities are of functional rather than geometric type and therefore are able to accommodate a ... Keywords: Walrasian economic equilibrium, complementarity problems, equilibrium computations, equilibrium constraints, functional variational inequalities

Alejandro Jofré; R. Terry Rockafellar; Roger J-B. Wets

2007-02-01T23:59:59.000Z

296

THE ECONOMICS OF NUCLEAR POWER  

SciTech Connect

Economic aspects of nuclear power development in the U. S. are tabulated and graphed. Included are figures on presently operating reactors as well as those contemplated or scheduled. Also a brief description of the objectives of short- and long-range programs is given as well as tables listing some of the characteristics of each reactor. (J.R.D.)

Lane, J.A.

1959-04-27T23:59:59.000Z

297

Economics of quality of experience  

Science Conference Proceedings (OSTI)

While the recent strong increase of interest in Quality of Experience both in industry and academia has managed to place the end user again into the center of service quality evaluation, corresponding economic implications have not received similar attention ... Keywords: WQL hypothesis, Weber-Fechner law, charging for QoE, telecommunication ecosystem, utility function

Peter Reichl; Bruno Tuffin; Patrick Maillé

2012-01-01T23:59:59.000Z

298

ECONOMIC POLICY The State's Tax  

E-Print Network (OSTI)

the solar furnace here on Earth, and to extract energy from plant waste; they are ex- ploring ways to store efficient that they can also power vehicles. As the former chief economist of the World Bank, Nicho- las economic growth. They also offer the only chance to slow down the global rise in temperatures associated

299

Online social networks in economics  

Science Conference Proceedings (OSTI)

This paper describes how economists study social networks. While economists borrow from other fields like sociology or computer science, their approach of modeling of social networks is distinguished by the emphasis on the role of choices under constraints. ... Keywords: Economics, Information transmission, Social networks

Adalbert Mayer

2009-06-01T23:59:59.000Z

300

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2011 Institute for Economic and Environmental Studies (IEES), Califo  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

Note: This page contains sample records for the topic "row codea economic" 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

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2011 Institute for Economic and Environmental Studies (IEES), Cal  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

302

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2012 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

303

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2011 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

304

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator February 2012 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator February 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

305

Southern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic Indicator May 2010 Institute for Economic and Environmental Studies (IEES), Cal  

E-Print Network (OSTI)

Southern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic Indicator May 2010 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

306

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2012 Institute for Economic and Environmental Studies (IEES), Califo  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

307

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2010 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2010 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

308

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2012 Institute for Economic and Environmental Studies (IEES), Cal  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

309

Alleghany Highlands Economic Development Authority (Virginia) | Department  

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

Alleghany Highlands Economic Development Authority (Virginia) Alleghany Highlands Economic Development Authority (Virginia) Alleghany Highlands Economic Development Authority (Virginia) < Back Eligibility Commercial Construction Developer Industrial Investor-Owned Utility Municipal/Public Utility Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Virginia Program Type Enterprise Zone Industry Recruitment/Support Loan Program Public Benefits Fund Provider Alleghany Highlands Economic Development Corporation The Alleghany Highlands Economic Development Authority was created to encourage economic development in the Alleghany Highlands. The Authority provides financial support for the purchase of real estate, construction of

310

Economic analysis of fuel recycle  

SciTech Connect

Economic analysis was performed at KAERI with the assistance of US DOE to compare single reactor fuel cycle costs for a once-through option and a thermal recycle option to operate 1 GWe of a PWR plant for its lifetime. A reference fuel cycle cost was first calculated for each option with best estimated reference input data. Then a sensitivity analysis was performed changing each single value of such fuel cycle component costs as yellow cake price, enrichment charges, spent fuel storage cost, reprocessing cost, spent fuel disposal cost and reprocessing waste disposal cost. Savings due to thermal recycle in requirements of uranium, conversion, and enrichment were examined using formulas suggested by US DOE, while MOX fabrication penalty was accounted for. As a result of the reference fuel cycle cost analysis, it is calculated that the thermal recycle option is marginally more economical than the once-through option. The major factors affecting the comparative costs between thermal recycle and once-through are the costs of reprocessing, spent fuel storage and the difference between spent fuel disposal and reprocessing waste disposal. However, considering the uncertainty in these cost parameters there seems no immediate economic incentive for thermal recycle at the present time.

Juhn, P.E.

1985-01-01T23:59:59.000Z

311

ULCOS scenarios and economic modeling  

E-Print Network (OSTI)

Modeling activities and scenario building are at the heart of the economic analysis delivered by the ULCOS program. Two main objectives were followed in the framework of SP9. First the modeling team had to provide a set of coherent energy economic scenarios using POLES model. Second, the economic conditions for the emergence of the ULCOS technologies were analyzed. ULCOS contributes to the elaboration of contrasted scenarios that the steel industry could face in the long term. To aim at these objectives specific tools have been used: POLES model for the global energy system modeling and ISIM model for the steel sector based prospective ([1] Hidalgo, 2003). The most promising steel production technologies identified in ULCOS Phase 1 have been introduced into ISIM as generic technologies. ISIM was then integrated as a module into POLES modeling system. The main model outputs are the energy prices and mixes and the steel sector balances with a focus on the technology mix. Actually the climate policy scenarios developped in project allow making recommendations to the steel industry in terms of sustainable development but also in terms of business strategy.

Elie Bellevrat

2009-01-01T23:59:59.000Z

312

Essays in public finance and labor economics  

E-Print Network (OSTI)

This thesis examines three questions of causality relevant to public finance and labor economics: the effect of racial segregation on city characteristics, the effect of divorce on women's economic outcomes, and the effect ...

Ananat, Elizabeth Oltmans

2006-01-01T23:59:59.000Z

313

Economic feasibility of bagasse charcoal in Haiti  

E-Print Network (OSTI)

The economics of implementing bagasse-based charcoal manufacturing in Haiti was investigated. From these main inputs, three different manufacturing economic scenarios were modeled using a simple, dynamic excel spreadsheet. ...

Kamimoto, Lynn K. (Lynn Kam Oi)

2005-01-01T23:59:59.000Z

314

Energy, Environmental, and Economic Systems Analysis  

E-Print Network (OSTI)

Energy, Environmental, and Economic Systems Analysis Electricity Market Complex Adaptive System (EMCAS): A New Long-term Power Market Simulation Tool Opportunity Decision and Information Sciences Division Center for Energy, Environmental & Economic Systems Analysis Energy systems are being privatized

Kemner, Ken

315

Variables Affecting Economic Development of Wind Energy  

DOE Green Energy (OSTI)

NREL's JEDI Wind model performed an analysis of wind-power-related economic development drivers. Economic development benefits for wind and coal were estimated using NREL's JEDI Wind and JEDI Coal models.

Lantz, E.; Tegen, S.

2008-07-01T23:59:59.000Z

316

Variables Affecting Economic Development of Wind Energy  

SciTech Connect

NREL's JEDI Wind model performed an analysis of wind-power-related economic development drivers. Economic development benefits for wind and coal were estimated using NREL's JEDI Wind and JEDI Coal models.

Lantz, E.; Tegen, S.

2008-07-01T23:59:59.000Z

317

2013 Midyear Economic Forecast Sponsorship Opportunity  

E-Print Network (OSTI)

2013 Midyear Economic Forecast Sponsorship Opportunity Thursday, April 18, 2013, ­ Hyatt Regency Irvine 11:30 a.m. ­ 1:30 p.m. Dr. Anil Puri presents his annual Midyear Economic Forecast addressing

de Lijser, Peter

318

Essays on conflict, cooperation and economic development  

E-Print Network (OSTI)

This dissertation consists of three chapters on topics relating to conflict, social cooperation and development economics. Several studies have identified the impact of adverse economic shocks on civil conflict using ...

Ralston, Laura R. (Laura Rosalind)

2013-01-01T23:59:59.000Z

319

Putting Economic Power In Distributed Power t  

U.S. Energy Information Administration (EIA)

Putting Economic Power in Distributed Power. A distributed electricity generation system, often called distributed power, usually consists of ...

320

NREL: Energy Analysis - Jobs and Economic Competitiveness  

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

in the global renewable energy market. NREL's economic competitiveness analysis efforts focus on assessing: jobs creation, workforce development needs, manufacturing...

Note: This page contains sample records for the topic "row codea economic" 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

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

LBNL-1248E Advanced Coal Wind Hybrid: Economic Analysis Principal Authors Amol Phadke1 , Charles;Advanced Coal Wind Hybrid: Economic Analysis ii LBNL-1248E Advanced Coal Wind Hybrid: Economic Analysis and Analysis of the U.S. Department of Energy (DOE) under Contract No. DE-AC02-05CH11231. #12;#12;Advanced Coal

322

Distributed Intelligence for Constructing Economic Models  

Science Conference Proceedings (OSTI)

This paper presents an integrated and distributed intelligent system being capable of automatically estimating and updating large-size economic models. The input-output model of economics uses a matrix representation of a nation's or a region's economy ... Keywords: Distributed Intelligence, Economic Models, Environmental Impact Assessment, Input-Output Tables, Machine Learning, Matrix Estimation, Parallel Optimization

Ting Yu

2010-07-01T23:59:59.000Z

323

Economics, cognitive science and social cognition  

Science Conference Proceedings (OSTI)

I discuss the role of economics in the study of social cognition. A currently popular view is that microeconomics should collapse into psychology partly because cognitive science has shown that valuation is constitutively social, whereas non-psychological ... Keywords: Aggregation, Atomism, Behavioral economics, Economic theory, Sociality

Don Ross

2008-03-01T23:59:59.000Z

324

Cogeneration Economics for Process Plants  

E-Print Network (OSTI)

This paper presents the incentives for cogeneration, describing pertinent legislation and qualification requirements for cogeneration benefits, and indicates the performance and economic characteristics of combined cycle cogeneration applications. The Fuel Use Act (FUA) restricts the use of un-renewable or premium fuels (e.g., natural gas and oil) for high-load-factor or base-load power generation. The Public Utility Regulatory Policy Act (PURPA) encourages high-efficiency cogeneration by providing exemptions to the restrictions and requiring that utilities purchase cogenerated power at rates corresponding to the costs they "avoid" by not generating this power.

Ahner, D. J.

1985-05-01T23:59:59.000Z

325

Economic Impact of Recovery Act Investments in the Smart Grid...  

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

Economic Impact of Recovery Act Investments in the Smart Grid Report (April 2013) Economic Impact of Recovery Act Investments in the Smart Grid Report (April 2013) The Economic...

326

Economics of Current and Future Biofuels  

Science Conference Proceedings (OSTI)

This work presents detailed comparative analysis on the production economics of both current and future biofuels, including ethanol, biodiesel, and butanol. Our objectives include demonstrating the impact of key parameters on the overall process economics (e.g., plant capacity, raw material pricing, and yield) and comparing how next-generation technologies and fuels will differ from today's technologies. The commercialized processes and corresponding economics presented here include corn-based ethanol, sugarcane-based ethanol, and soy-based biodiesel. While actual full-scale economic data are available for these processes, they have also been modeled using detailed process simulation. For future biofuel technologies, detailed techno-economic data exist for cellulosic ethanol from both biochemical and thermochemical conversion. In addition, similar techno-economic models have been created for n-butanol production based on publicly available literature data. Key technical and economic challenges facing all of these biofuels are discussed.

Tao, L.; Aden, A.

2009-06-01T23:59:59.000Z

327

Economic analysis of nuclear reactors  

SciTech Connect

The report presents several methods for estimating the power costs of nuclear reactors. When based on a consistent set of economic assumptions, total power costs may be useful in comparing reactor alternatives. The principal items contributing to the total power costs of a nuclear power plant are: (1) capital costs, (2) fuel cycle costs, (3) operation and maintenance costs, and (4) income taxes and fixed charges. There is a large variation in capital costs and fuel expenses among different reactor types. For example, the standard once-through LWR has relatively low capital costs; however, the fuel costs may be very high if U/sub 3/O/sub 8/ is expensive. In contrast, the FBR has relatively high capital costs but low fuel expenses. Thus, the distribution of expenses varies significantly between these two reactors. In order to compare power costs, expenses and revenues associated with each reactor may be spread over the lifetime of the plant. A single annual cost, often called a levelized cost, may be obtained by the methods described. Levelized power costs may then be used as a basis for economic comparisons. The paper discusses each of the power cost components. An exact expression for total levelized power costs is derived. Approximate techniques of estimating power costs will be presented.

Owen, P.S.; Parker, M.B.; Omberg, R.P.

1979-05-01T23:59:59.000Z

328

Economic and policy implications of pandemic influenza.  

SciTech Connect

Pandemic influenza has become a serious global health concern; in response, governments around the world have allocated increasing funds to containment of public health threats from this disease. Pandemic influenza is also recognized to have serious economic implications, causing illness and absence that reduces worker productivity and economic output and, through mortality, robs nations of their most valuable assets - human resources. This paper reports two studies that investigate both the short- and long-term economic implications of a pandemic flu outbreak. Policy makers can use the growing number of economic impact estimates to decide how much to spend to combat the pandemic influenza outbreaks. Experts recognize that pandemic influenza has serious global economic implications. The illness causes absenteeism, reduced worker productivity, and therefore reduced economic output. This, combined with the associated mortality rate, robs nations of valuable human resources. Policy makers can use economic impact estimates to decide how much to spend to combat the pandemic influenza outbreaks. In this paper economists examine two studies which investigate both the short- and long-term economic implications of a pandemic influenza outbreak. Resulting policy implications are also discussed. The research uses the Regional Economic Modeling, Inc. (REMI) Policy Insight + Model. This model provides a dynamic, regional, North America Industrial Classification System (NAICS) industry-structured framework for forecasting. It is supported by a population dynamics model that is well-adapted to investigating macro-economic implications of pandemic influenza, including possible demand side effects. The studies reported in this paper exercise all of these capabilities.

Smith, Braeton J.; Starks, Shirley J.; Loose, Verne W.; Brown, Theresa Jean; Warren, Drake E.; Vargas, Vanessa N.

2010-03-01T23:59:59.000Z

329

Cogeneration Economics and Financial Analysis  

E-Print Network (OSTI)

Cogeneration has received much attention as a way to improve the efficiency of energy generation and conversion. This interest has been stimulated by higher energy costs for fuel and electricity as well as economic incentives granted by the federal government for industrial cogeneration. This paper discusses a variety of cogeneration systems applied at specific sites drawn from the major industrial sectors - food, textiles, pulp and paper, chemicals, and petroleum refining. Various technologies are considered. Capital and operating cost estimates are developed for the most promising systems to calculate cash flows and determine return on investment for a industrial ownership options of these facilities. Conclusions summarize the relation between technology, relative electric energy costs, and fuel costs.

Kusik, C. L.; Golden, W. J.; Fox, L. K.

1983-01-01T23:59:59.000Z

330

A State Space Model of the Economic Fundamentals  

E-Print Network (OSTI)

Asset Values and Economic Fundamentals, Economics Department28, Key words: ECONOMIC FUNDAMENTALS Dynamic programming, smodel o f the economic fundamentals. In t h e o r y t h e

Craine, Roger; Bowman, David

1988-01-01T23:59:59.000Z

331

Economic Sector Data for Modeling the Impact of Less Ignition ...  

Science Conference Proceedings (OSTI)

... U S. Department of Agriculture. Economic Researcti Service. National Economics Division Tobacco Outlook and Situation Report. Washington DC. ...

2012-10-27T23:59:59.000Z

332

Canada-Saskatchewan Western Economic Partnership Agreement (Saskatchew...  

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

Canada-Saskatchewan Western Economic Partnership Agreement (Saskatchewan, Canada) Canada-Saskatchewan Western Economic Partnership Agreement (Saskatchewan, Canada) Eligibility...

333

Community Development Block Grant/Economic Development Infrastructure...  

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

GrantEconomic Development Infrastructure Financing (CDBGEDIF) (Oklahoma) Community Development Block GrantEconomic Development Infrastructure Financing (CDBGEDIF) (Oklahoma) <...

334

Regional variation in solar energy economic performance  

SciTech Connect

The Los Alamos/UNM solar economic performance code (EASE-III) is used to indicate the extent of production function variations as applied to a Trombe wall solar design incorporated in a new home. The economic performance of the solar heated residence is compared to the alternative non-solar home heated by the characteristic conventional fuel of each region. These economic results are used to discuss the impact of subsidy programs.

Brunton, D.; Kirschner, C.; Ben-David, S.; Roach, F.

1981-01-01T23:59:59.000Z

335

Solar economic analysis: an alternative approach  

SciTech Connect

Conventional economic analysis which utilizes the discounted present value criterion is examined from a critical perspective. It is found that this technique has a number of limiting characteristics which contribute to the lack of general usage of economic analysis for evaluating passive solar installations. Within this context an alternative approach is suggested for determining the economic desirability of such investments. This latter method, compound future worth analysis, is found to be both more understandable and flexible.

Thayer, M.A.; Brunton, D.; Noll, S.A.

1979-01-01T23:59:59.000Z

336

Southern California Leading Economic Indicator August 2009 Institute for Economic and Environmental Studies (IEES), California State University Fullerton  

E-Print Network (OSTI)

Southern California Leading Economic Indicator August 2009 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph.D. Department of Economics, California State University Fullerton Institute for Economic and Environmental Studies (IEES

de Lijser, Peter

337

Southern California Leading Economic Indicator February 2008 Institute for Economic and Environmental Studies (IEES), California State University Fullerton  

E-Print Network (OSTI)

Southern California Leading Economic Indicator February 2008 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph.D. Department of Economics, California State University Fullerton Institute for Economic and Environmental Studies (IEES

de Lijser, Peter

338

Southern California Leading Economic Indicator September 2006 Institute for Economic and Environmental Studies (IEES), California State University Fullerton  

E-Print Network (OSTI)

Southern California Leading Economic Indicator September 2006 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph.D. Department of Economics, California State University Fullerton Institute for Economic and Environmental Studies (IEES

de Lijser, Peter

339

Southern California Leading Economic Indicator November 2009 Institute for Economic and Environmental Studies (IEES), California State University Fullerton  

E-Print Network (OSTI)

Southern California Leading Economic Indicator November 2009 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph.D. Department of Economics, California State University Fullerton Institute for Economic and Environmental Studies (IEES

de Lijser, Peter

340

Southern California Leading Economic Indicator February 2010 Institute for Economic and Environmental Studies (IEES), California State University Fullerton  

E-Print Network (OSTI)

Southern California Leading Economic Indicator February 2010 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph.D. Department of Economics, California State University Fullerton Institute for Economic and Environmental Studies (IEES

de Lijser, Peter

Note: This page contains sample records for the topic "row codea economic" 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

Economics and the Ising model - CECM  

E-Print Network (OSTI)

Dec 24, 2003 ... The context of economics renames these variables to mirror features important in the study of social impact. Word of mouth in neighbour ...

342

Economic Improvement Districts (Indiana) | Department of Energy  

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

Improvement Districts (Indiana) Improvement Districts (Indiana) Economic Improvement Districts (Indiana) < Back Eligibility Agricultural Commercial Construction Fuel Distributor Industrial Installer/Contractor Investor-Owned Utility Local Government Municipal/Public Utility Retail Supplier Rural Electric Cooperative State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Indiana Program Type Bond Program Industry Recruitment/Support Provider Indiana Economic Development Corporation A legislative body may adopt an ordinance establishing an economic improvement district and an Economic Improvement Board to manage development in a respective district. The Board can choose to issue revenue

343

PERI Green Economics | Open Energy Information  

Open Energy Info (EERE)

PERI Green Economics PERI Green Economics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: PERI Green Economics Agency/Company /Organization: Political Economy Research Institute Sector: Energy Focus Area: Renewable Energy, Energy Efficiency, Buildings Phase: Create a Vision, "Evaluate Options and Determine Feasibility" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property., Prepare a Plan Resource Type: Publications, Lessons learned/best practices User Interface: Website Website: www.peri.umass.edu/green_economics0/

344

Economic Development Incentive Program (Massachusetts) | Department of  

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

Economic Development Incentive Program (Massachusetts) Economic Development Incentive Program (Massachusetts) Economic Development Incentive Program (Massachusetts) < Back Eligibility Agricultural Commercial Construction Fuel Distributor Industrial Installer/Contractor Institutional Investor-Owned Utility Municipal/Public Utility Nonprofit Retail Supplier Systems Integrator Transportation Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Massachusetts Program Type Corporate Tax Incentive Provider Office of Business Development The Economic Development Incentive Program (EDIP) is a tax incentive program designed to foster job creation and stimulate business growth throughout the Commonwealth. Participating companies may receive state and

345

2012 Reservation Economic Summit | Department of Energy  

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

Economic Summit Indian Energy & Energy Infrastructure to be Showcased at RES 2012 in Las Vegas Glossary of Energy Related Terms 2012 Renewable Energy Technology Conference...

346

NIST Budget, Planning and Economic Studies  

Science Conference Proceedings (OSTI)

*. Bookmark and Share. Budget, Planning and Economic Studies. ... Table providing the NIST budget summary for FY 2012 - FY 2014. FY 2013. ...

2013-06-27T23:59:59.000Z

347

The Economics of Green Building | ENERGY STAR  

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

The Economics of Green Building Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction...

348

Economic and Environmental Analysis of Photovoltaic Energy ...  

E-Print Network (OSTI)

Mar 22, 2012 ... Economic and Environmental Analysis of Photovoltaic Energy ... However, their approach is based on a specific net tariff system that was used ...

349

Sandia National Laboratories: News: Economic Impact  

Sandia National Laboratories has a robust and widespread economic impact. Spending by the Labs exceeds $2 billion a year. Nearly $1 billion goes to the procurement of ...

350

UCSD Biomass to Power Economic Feasibility Study  

E-Print Network (OSTI)

Biofuels, LLC  UCSD Biomass to Power  Economic Feasibility Figure 1: West Biofuels Biomass Gasification to Power rates..……………………. ……31  UCSD Biomass to Power ? Feasibility 

Cattolica, Robert

2009-01-01T23:59:59.000Z

351

Data Center Economizer Contamination and Humidity Study  

E-Print Network (OSTI)

on electronic equipment”, ASHRAE Transactions, 97, 455-463.and recently published ASHRAE standards. 2. Economizer useconcentrations still met the ASHRAE standards. However,

Shehabi, Arman

2010-01-01T23:59:59.000Z

352

Essays in Labor and Development Economics  

E-Print Network (OSTI)

of studies on job training and program evaluation in thethe Effect of Training Programs,” Review of Economics andof the Evaluation of Training Programs,” Journal of the

Mutsalklisana, Charles Saharuk

2011-01-01T23:59:59.000Z

353

NREL: Jobs and Economic Competitiveness - Jobs Analysis  

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

on understanding how investments in clean energy technology deployment impact jobs creation and economic output at the national, state and community level. NREL's jobs analyses...

354

Economic Development - Oak Ridge National Laboratory | ORNL  

Economic Development Entrepreneurial Programs. Partnerships staff believes that one of the very best ways to translate ORNL R&D into the commercial marketplace is to ...

355

Mountain Association for Community Economic Development - Solar...  

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

Water Heater Loan Program Mountain Association for Community Economic Development - Solar Water Heater Loan Program Eligibility Commercial Residential Savings For Heating &...

356

NETL: U.S. Economic Competitiveness  

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

States' dependence on petroleum, a significant fraction of which consists of foreign oil imports, for supplying fuels and chemicals essential to the country's economic...

357

Brownfields Revitalization and Economic Development Program ...  

Open Energy Info (EERE)

icon Twitter icon Brownfields Revitalization and Economic Development Program (South Dakota) This is the approved revision of this page, as well as being the most...

358

Using input-output techniques to address economic and energy issues in Malaysia  

E-Print Network (OSTI)

and gas: Can the result be interpreted as a change in kWh demand? (relative change) Import matrix and natural gas? · Which sectoral splits could be relevant for energy analyses? · Is it possible to identify). · First step is the extension of row dimension by one : The new row 67 is natural gas and rox 66

359

Intelligent Economic Alarm Processor (IEAP)  

E-Print Network (OSTI)

The advent of electricity market deregulation has placed great emphasis on the availability of information, the analysis of this information, and the subsequent decision-making to optimize system operation in a competitive environment. This creates a need for better ways of correlating the market activity with the physical grid operating states in real time and sharing such information among market participants. Choices of command and control actions may result in different financial consequences for market participants and severely impact their profits. This work provides a solution, the Intelligent Economic Alarm Processor to be implemented in a control center to assist the grid operator in rapidly identifying the faulted sections and market operation management. The task of fault section estimation is difficult when multiple faults, failures of protection devices, and false data are involved. A Fuzzy Reasoning Petri-nets approach has been proposed to tackle the complexities. In this approach, the fuzzy reasoning starting from protection system status data and ending with estimation of faulted power system section is formulated by Petri-nets. The reasoning process is implemented by matrix operations. Next, in order to better feed the FRPN model with more accurate inputs, the failure rates of the protections devices are analyzed. A new approach to assess the circuit breaker’s life cycle or deterioration stages using its control circuit data is introduced. Unlike the traditional “mean time” criteria, the deterioration stages have been mathematically defined by setting up the limits of various performance indices. The model can be automatically updated as the new real-time condition-based data become available to assess the CB’s operation performance using probability distributions. The economic alarm processor module is discussed in the end. This processor firstly analyzes the fault severity based on the information retrieved from the fault section estimation module, and gives the changes in the LMPs, total generation cost, congestion revenue etc. with electricity market schedules and trends. Then some suggested restorative actions are given to optimize the overall system benefit. When market participants receive such information in advance, they make estimation about the system operator's restorative action and their competitors' reaction to it.

Guan, Yufan

2013-08-01T23:59:59.000Z

360

The Economics of Solar Electricity ?  

E-Print Network (OSTI)

The benefits and costs of increasing solar electricity generation depend on the scale of the increase and on the timeframe over which it occurs. Short-run analyses focus on the cost-effectiveness of incremental increases in solar capacity, holding the rest of the power system fixed. Solar’s variability adds value if its power occurs at high-demand times and displaces relatively carbon-intensive generation. Medium-run analyses consider the implications of non-incremental changes in solar capacity. The cost of each installation may fall through experience effects, but the cost of grid integration increases when solar requires ancillary services and fails to displace investment in other types of generation. Long-run analyses consider the role of solar in reaching twentyfirst century carbon targets. Solar’s contribution depends on the representation of grid integration costs, on the availability of other low-carbon technologies, and on the potential for technological advances. By surveying analyses for different time horizons, this paper begins to connect and integrate a fairly disjointed literature on the economics of solar energy.

Erin Baker; Meredith Fowlie; Derek Lemoine; Stanley S. Reynolds; Erin Baker; Meredith Fowlie; Derek Lemoine; Stanley S. Reynolds

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

Clean, economical, underwater (hydrocarbon) storage  

SciTech Connect

A consortium consisting of Howaldtswerke-Deutsche Werft A.G., Phoenix Gummiwerke A.G., Strabag Bau-A.G., and Bugsier Reederei und Bergungs-A.G. offers a plausible solution to the large-scale underwater storage of hydrocarbons. Up to 20 storage compartments of 8000 cu m capacity can be assembled for a capacity of 160,000 cu m. Each compartment is divided in half by a nylon-reinforced polyurethane diaphragm which isolates oil or other products on one side from sea-water ballast on the other side. As oil is pumped into storage on one side of the diaphragm, the diaphragm moves and ballast on the other side is displaced to the sea. Ballast re-enters the compartment during unloading. The system can enable small offshore platforms to produce more economically. Cargo tankers load at 8000 cu m/hr. The tanks will be used in 200 m or greater water depths. The loading station is installed in a buoy 30 m below the water surface.

1978-08-01T23:59:59.000Z

362

Tennessee Business and economic ouTlook  

E-Print Network (OSTI)

Business and Economic Outlook -- 1 The U.S. Forecast introduction Economic conditions continue to deteriorate, raising concerns about a potentially deeper and more prolonged downturn. Throughout 2007 as oil business cycle. Even seemingly positive news loses its luster when one probes beneath the surface. Export

Tennessee, University of

363

ECONOMIC IMPACT OF CENTURY ALUMINUM OF  

E-Print Network (OSTI)

that supported nearly 1,600 jobs and $111 million in employee compensation. This report documents the economic. The economic impacts estimated in this report are business volume, employee compensation, employment's presence in the state in 2007 generated a total business volume impact in excess of $579 million

Mohaghegh, Shahab

364

Workshop on internet economics (WIE2011) report  

Science Conference Proceedings (OSTI)

The second Workshop on Internet Economics [2], hosted by CAIDA and Georgia Institute of Technology on December 1-2, 2011, brought together network technology and policy researchers with providers of commercial Internet facilities and services (network ... Keywords: economics, internet, network management

kc claffy

2012-03-01T23:59:59.000Z

365

Economic Development Impacts of 20% Wind (Poster)  

SciTech Connect

Meeting 20% of the nation's electricity demand with wind energy will require enourmous investment in wind farms, manufacturing, and infrastructure. This investment will create substantial economic development impacts on local, regional, and national levels. This conference poster for Windpower 2007 outlines the various economic development impacts from a 20% wind scenario.

Kelly, M.; Tegen, S.

2007-06-01T23:59:59.000Z

366

Economic load dispatch using improved harmony search  

Science Conference Proceedings (OSTI)

This paper presents the use of the improved harmony search method for solving economic load dispatch problems. The harmony search method mimics a jazz improvisation process by musicians in order to seek a fantastic state of harmony. To assess the searching ... Keywords: adaptive tabu search, economic dispatch, evolutionary programming, genetic algorithms, particle swarm optimization

T. Ratniyomchai; A. Oonsivilai; P. Pao-La-Or; T. Kulworawanichpong

2010-04-01T23:59:59.000Z

367

Jobs and Economic Development Impacts (Postcard)  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides information on the Jobs and Economic Development Benefits model. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the Jobs and Economic Development Benefits model section on the Wind Powering America website.

Not Available

2011-08-01T23:59:59.000Z

368

Bureau of Business and Economic Research College of Business and Economics  

E-Print Network (OSTI)

market, health, economic development, industry analysis, public finance, forecasting and other related research areas. More information about the BBER can be found at www.bber.wvu.edu. Responsibilities in economics or resource economics with specialization in regional, health, public finance, energy, public

Mohaghegh, Shahab

369

Building Energy Software Tools Directory: Photovoltaics Economics  

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

Photovoltaics Economics Calculator Photovoltaics Economics Calculator Web-based tool which allows you to describe your solar system in detail and provides a detailed breakdown of what sort of power you'll get out of it and how economical of a investment the system will be. It uses the TMY2 solar data from the NREL Renewable Resource Data Center. This calculator allows users to customize their setup, providing greater feedback on how much power is provided when, and most importantly, a detailed economics breakdown of how the investment works out. It also keeps track of battery charge states for off-grid users. Screen Shots Keywords solar, photovoltaic, economics Validation/Testing Validated against PVWatts, a widely recognized solar power output calculator. When given the exact same conditions, power production is

370

World Economic Forum | Open Energy Information  

Open Energy Info (EERE)

World Economic Forum World Economic Forum Jump to: navigation, search Logo: The World Economic Forum (WEF) Name The World Economic Forum (WEF) Address World Economic Forum Switzerland 91-93 route de la Capite, CH-1223 Cologny/Geneva Switzerland Year founded 1971 Website http://www.weforum.org Coordinates 46.2169537°, 6.18583° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.2169537,"lon":6.18583,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

371

Economic evaluation of smart well technology  

E-Print Network (OSTI)

The demand of oil and gas resources is high and the forecasts show a trend for higher requirements in the future. More unconventional resource exploitation along with an increase in the total recovery in current producing fields is required. At this pivotal time the role of emerging technologies is of at most importance. Smart or intelligent well technology is one of the up and coming technologies that have been developed to assist improvements in field development outcome. In this paper a comprehensive review of this technology has been discussed. The possible reservoir environments in which smart well technology could be used and also, the possible benefits that could be realized by utilizing smart well technology has been discussed. The economic impact of smart well technology has been studied thoroughly. Five field cases were used to evaluate the economics of smart well technology in various production environments. Real field data along with best estimate of smart well technology pricings were used in this research. I have used different comparisons between smart well cases and conventional completion to illustrate the economic differences between the different completion scenarios. Based on the research, I have realized that all the smart well cases showed a better economic return than conventional completions. The offshore cases showed a good economic environment for smart well technology. Large onshore developments with smart well technology can also provide a lucrative economic return. These situations can increase the overall economic return and ultimate recovery which will assist in meeting some of the oil demand around the globe.

Al Omair, Abdullatif A.

2003-05-01T23:59:59.000Z

372

HTGR Application Economic Model Users' Manual  

SciTech Connect

The High Temperature Gas-Cooled Reactor (HTGR) Application Economic Model was developed at the Idaho National Laboratory for the Next Generation Nuclear Plant Project. The HTGR Application Economic Model calculates either the required selling price of power and/or heat for a given internal rate of return (IRR) or the IRR for power and/or heat being sold at the market price. The user can generate these economic results for a range of reactor outlet temperatures; with and without power cycles, including either a Brayton or Rankine cycle; for the demonstration plant, first of a kind, or nth of a kind project phases; for up to 16 reactor modules; and for module ratings of 200, 350, or 600 MWt. This users manual contains the mathematical models and operating instructions for the HTGR Application Economic Model. Instructions, screenshots, and examples are provided to guide the user through the HTGR Application Economic Model. This model was designed for users who are familiar with the HTGR design and Excel and engineering economics. Modification of the HTGR Application Economic Model should only be performed by users familiar with the HTGR and its applications, Excel, and Visual Basic.

A.M. Gandrik

2012-01-01T23:59:59.000Z

373

Dan Miller Associate, Industrial and Economic Development  

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

Name, Phone, e-mail address Name, Phone, e-mail address Dan Miller Associate, Industrial and Economic Development Dan Miller joined Oak Ridge National Laboratory in January, 2010 as an Associate in Industrial Partnerships and Economic Development. His responsibilities include leading and supporting initiatives in the energy storage portfolio focused on technology commercialization, economic development, and industrial partnerships. He also manages ORNL's relationships with companies involved in the Oak Ridge Science & Technology Park and is actively recruiting additional companies to locate there. Prior to joining ORNL, Dan was a Licensing Associate in Rice University Office of Technology Transfer, where he managed the patent portfolio of the university's physical science technologies.

374

Data Center Economizer Contamination and Humidity Study  

SciTech Connect

Data centers require continuous air conditioning to address high internal heat loads (heat release from equipment) and maintain indoor temperatures within recommended operating levels for computers. Air economizer cycles, which bring in large amounts of outside air to cool internal loads when weather conditions are favorable, could save cooling energy. There is reluctance from many data center owners to use this common cooling technique, however, due to fear of introducing pollutants and potential loss of humidity control. Concerns about equipment failure from airborne pollutants lead to specifying as little outside air as permissible for human occupants. To investigate contamination levels, particle monitoring was conducted at 8 data centers in Northern California. Particle counters were placed at 3 to 4 different locations within and outside of each data center evaluated in this study. Humidity was also monitored at many of the sites to determine how economizers affect humidity control. Results from this study indicate that economizers do increase the outdoor concentration in data centers, but this concentration, when averaged annually, is still below current particle concentration limits. Study results are summarized below: (1) The average particle concentrations measured at each location, both outside and at the servers, are shown in Table 1. Measurements show low particle concentrations at all data centers without economizers, regardless of outdoor particle concentrations. Particle concentrations were typically an order of magnitude below both outside particle concentrations and recently published ASHRAE standards. (2) Economizer use caused sharp increases in particle concentrations when the economizer vents were open. The particle concentration in the data centers, however, quickly dropped back to pre-economizer levels when the vents closed. Since economizers only allow outside air part of the time, the annual average concentrations still met the ASHRAE standards. However, concentration were still above the levels measured in data centers that do not use economizers (3) Current filtration in data centers is minimal (ASHRAE 40%) since most air is typically recycled. When using economizers, modest improvements in filtration (ASHRAE 85%) can reduce particle concentrations to nearly match the level found in data centers that do not use economizers. The extra cost associated with improve filters was not determined in this study. (4) Humidity was consistent and within the ASHRAE recommended levels for all data centers without economizers. Results show that, while slightly less steady, humidity in data centers with economizers can also be controlled within the ASHRAE recommended levels. However, this control of humidity reduces energy savings by limiting the hours the economizer vents are open. (5) The potential energy savings from economizer use has been measured in one data center. When economizers were active, mechanical cooling power dropped by approximately 30%. Annual savings at this center is estimated within the range of 60-80 MWh/year, representing approximately a 5% savings off the mechanical energy load of the data center. Incoming temperatures and humidity at this data center were conservative relative to the ASHRAE acceptable temperature and humidity ranges. Greater savings may be available if higher temperature humidity levels in the data center area were permitted. The average particle concentrations measured at each of the eight data center locations are shown in Table 1. The data centers ranged in size from approximately 5,000 ft{sup 2} to 20,000 ft{sup 2}. The indoor concentrations and humidity in Table 1 represents measurements taken at the server rack. Temperature measurements at the server rack consistently fell between 65-70 F. The Findings section contains a discussion of the individual findings from each center. Data centers currently operate under very low contamination levels. Economizers can be expected to increase the particle concentration in data centers, but the increase appears to still be

Shehabi, Arman; Tschudi, William; Gadgil, Ashok

2007-03-06T23:59:59.000Z

375

EIA - AEO2010 - Trends in Economic Activity  

Gasoline and Diesel Fuel Update (EIA)

Trends in Economic Activity Trends in Economic Activity Annual Energy Outlook 2010 with Projections to 2035 Trends in Economic Activity Real gross domestic product returns to its pre-recession level by 2011 AEO2010 presents three views of economic growth (Figure 31). The rate of growth in real GDP depends on assumptions about labor force growth and productivity. In the Reference case, growth in real GDP averages 2.4 percent per year. Figure 31. Average annual growth rates of real GDP, labot force, and productivity in three cases, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 32. Average annual inflation, interest, and unemployment rates in three cases, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 33. Sectoral composition of industrial output growth rates in three cases, 2008-2035

376

Use Feedwater Economizers for Waste Heat Recovery  

SciTech Connect

This revised ITP tip sheet on feedwater economizers for waste heat recovery provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

2006-01-01T23:59:59.000Z

377

Community Economic Analysis Guide | Open Energy Information  

Open Energy Info (EERE)

Community Economic Analysis Guide Community Economic Analysis Guide Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Community Economic Analysis How-to manual Agency/Company /Organization: R. Hustedde, R. Shaffer, G. Pulver Phase: Create a Vision, Determine Baseline User Interface: Website Website: www.epa.gov/greenkit/pdfs/howto.pdf 100 page manual on how to analyze a community's economy. Useful for those not interested in building a detailed model. Retrieved from "http://en.openei.org/w/index.php?title=Community_Economic_Analysis_Guide&oldid=332592" Categories: Tools Community Energy Tools What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services OpenEI partners with a broad range of international organizations to grow

378

Economizers; a Field Perspective and Case Studies  

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

Economizers; a Field Perspective and Case Studies Economizers; a Field Perspective and Case Studies Speaker(s): David Sellers Date: January 18, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Liping Wang Economizers are a common HVAC process with the potential to deliver significant energy savings by using outdoor air cooling to offset internal loads. But evidence from the field suggests that their track record is not good in terms of delivering those savings. This talk will provide a field perspective on some of the issues behind the poor track record, frequently illustrated with mini-case studies, and will conclude with a case study of a dysfunctional economizer in a cold environment and how the problem it was having was corrected by applying some of the concepts discussed earlier in the talk

379

Taking Economics Seriously in US Energy Policy  

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

Taking Economics Seriously in US Energy Policy Speaker(s): Severin Borenstein Date: October 22, 2009 - 12:00pm Location: 90-3122 Description: From environmental externalities, to...

380

Publication Price Quantity Total Economic Outlook Studies  

E-Print Network (OSTI)

to Work in WV 2010 20.00$ $ Other Studies >> The Economic Impact of the Natural Gas Industry and the Marcellus Shale Development in West Virginia in 2009 20.00$ ___________ >> Consensus Coal Production

Mohaghegh, Shahab

Note: This page contains sample records for the topic "row codea economic" 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

Malaysia: economic transformation advances oil palm industry  

Science Conference Proceedings (OSTI)

Malaysia is currently the world’s largest exporter of palm oil although it is the second-largest producer of the oil after neighboring Indonesia. Malaysia: economic transformation advances oil palm industry Inform Magazine Biofuels and Bioproducts and Bi

382

HVAC Energy Recovery Design and Economic Evaluation  

E-Print Network (OSTI)

ENRECO has prepared this paper on HVAC energy recovery to provide the engineer with an overview of the design engineering as well as the economic analysis considerations necessary to evaluate the potential benefits of energy recovery.

Kinnier, R. J.

1979-01-01T23:59:59.000Z

383

Puerto Rico- Economic Development Incentives for Renewables  

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

The 2008 Economic Incentives for the Development of Puerto Rico Act (EIA) provides a wide array of tax incentives and credits that enable local and foreign companies dedicated to certain business...

384

Passive solar economics in 15 northwest locations  

DOE Green Energy (OSTI)

The economic performance of Trombe wall and direct gain passive solar heating designs are evaluated using the LASL/UNM solar economic performance code. Both designs are integrated into a ranch style tract home concept thereby facilitating intra-regional comparison. The economic performance of these systems is evaluated for 15 sites in the Northwest region. Space heating loads have been locally specified. System sizes have been optimized against the natural gas and electric resistance heating alternatives, the current price and future escalation of which is established for each locale. Sensitivity analysis is conducted to determine the maximum competitive add-on costs for each system under a specified set of energy price, solar performance and economic conditions.

Kirschner, C.; Ben-David, S.; Roach, F.

1979-08-10T23:59:59.000Z

385

Essays on genetic variation and economic behavior  

E-Print Network (OSTI)

This thesis is a collection of papers in which behavior genetic methods are used to shed light on individual differences in economic preferences, behaviors and outcomes. Chapter one uses the classical twin design to provide ...

Cesarini, David Alexander

2010-01-01T23:59:59.000Z

386

NREL: Wind Research - Analyzing Economic Development Through...  

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

Analyzing Economic Development Through Wind Power July 22, 2013 Audio with Audio with Eric Lantz, NREL Senior Research analyst (MP3 3.0 MB). Download Windows Media Player. Time:...

387

Essays in development economics and political economy  

E-Print Network (OSTI)

This thesis is a collection of three empirical essays on issues in economic development, with a focus ,on political economy and the labor market in India. Chapter 1] analyzes the effect of television coverage on political ...

Datta, Saugato

2007-01-01T23:59:59.000Z

388

UCSD Biomass to Power Economic Feasibility Study  

E-Print Network (OSTI)

at the bottom of the “Gasifier_Economics” tab.     Finally, to as a directly heated gasifier.  Control of the  movement in a directly heated gasifier can be problematic.   In 

Cattolica, Robert

2009-01-01T23:59:59.000Z

389

Megacities : sustainability, transport, and economic development  

E-Print Network (OSTI)

The connections between sustainability, transport, and economic development are and will remain essential in the governance of cities. Sustainability concepts include valuing and preserving the earth's resources so that ...

Tobias, Justin Charles, 1980-

2005-01-01T23:59:59.000Z

390

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

Coal prices have been far less volatile than natural gas prices.Coal Prices Figure 9 is similar to Figure 8 except the natural gas pricesCoal Wind Hybrid: Economic Analysis interested in natural gas prices

Phadke, Amol

2008-01-01T23:59:59.000Z

391

Coal mining technology, economics and policy 1989  

SciTech Connect

This book contains papers reported on a conference on Coal Mining Technology, Economics and policy 1989. Topics covered include: automation and controls; coal policy; coal preparation; Environment; and Management.

Not Available

1989-01-01T23:59:59.000Z

392

The economics of investing in green buildings  

E-Print Network (OSTI)

This thesis discusses economics of green buildings. The need to reduce greenhouse gases emissions became clear. Buildings account for a large part of the greenhouse gases emissions, changing the atmosphere's composition. ...

Rizk, Charbel Maroun

2010-01-01T23:59:59.000Z

393

Data Center Economizer Contamination and Humidity Study  

E-Print Network (OSTI)

published ASHRAE standards. 2. Economizer use caused sharp increases in particle concentrations when, the annual average concentrations still met the ASHRAE standards. However, concentration were still above is minimal (ASHRAE 40%) since most air is typically r

394

Essays in public economics and political economy  

E-Print Network (OSTI)

This thesis studies topics in public economics in developed and developing countries, including health insurance regulation, public goods provision and inequality and welfare measurement. The first chapter analyzes the ...

Pinkovskiy, Maxim L

2013-01-01T23:59:59.000Z

395

Economic assessment of CO? capture and disposal  

E-Print Network (OSTI)

A multi-sector multi-region general equilibrium model of economic growth and emissions is used to explore the conditions that will determine the market penetration of CO2 capture and disposal technology.

Eckaus, Richard S.; Jacoby, Henry D.; Ellerman, A. Denny.; Leung, Wing-Chi.; Yang, Zili.

396

Technical Demonstration and Economic Validation of Geothermally...  

Open Energy Info (EERE)

in Texas and the Gulf Region, creating a strong stimulus for economic growth and job creation while also enhancing U.S. energy security, providing a new option for states to...

397

Economic Development Project Districts (Indiana) | Department...  

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

may petition legislative bodies to designate economic development project districts in cities with populations between 80,500 and 500,000. Such districts may be established if it...

398

Techno-Economics & Life Cycle Assessment (Presentation)  

DOE Green Energy (OSTI)

This presentation provides an overview of the techno-economic analysis (TEA) and life cycle assessment (LCA) capabilities at the National Renewable Energy Laboratory (NREL) and describes the value of working with NREL on TEA and LCA.

Dutta, A.; Davis, R.

2011-12-01T23:59:59.000Z

399

Economic characteristics of a smaller, simpler reactor  

SciTech Connect

Reduced load growth and heightened concern with economic risk has led to an expressed utility preference for smaller capacity additions. The Modular High Temperature Reactor (MHTGR) plant has been developed as a small, simple plant that has limited financial risk and is economically competitive with comparatively sized coal plants. Competitive economics is achieved by the simplifications made possible in a small MHTGR, reduction in the quantity of nuclear grade construction and design standardization and certification. Assessments show the MHTGR plant to have an economic advantage over coal plants for plant sizes from 270 MWe to 1080 MWe. Financial risk is limited by small unit sizes and short lead times that allow incremental deployment. Evaluations show the MHTGR incremental deployment capability to reduce negative cash flows by almost a factor of 2 relative to that required by a single large nuclear plant.

LaBar, M.; Bowers, H.

1988-01-01T23:59:59.000Z

400

Essays on contract theory and behavioral economics  

E-Print Network (OSTI)

This thesis is a collection of essays on contract theory and behavioral economics. Chapter 1 proposes a model of choice under risk based on imperfect memory and self-deception. The model assumes that people have preferences ...

Gottlieb, Daniel, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

Essays in the theory of economic growth  

E-Print Network (OSTI)

This thesis is a collection of three theoretical essays on institutions and economic growth. Chapter 1 considers a particular institution: ethnicity. Ethnic, religious and tribal divisions are empirically associated with ...

Lester, Ashley

2005-01-01T23:59:59.000Z

402

2010 Sandia Economic Impact on New Mexico  

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

2010 Sandia Economic Impact on New Mexico 2010 data is based on Sandia's fiscal year beginning 100109 and ending 93010. While Sandia spends a large portion of its funding...

403

Patient radiation dose in prospectively gated axial CT coronary angiography and retrospectively gated helical technique with a 320-detector row CT scanner  

Science Conference Proceedings (OSTI)

Purpose: The aim of this study was to evaluate radiation dose to patients undergoing computed tomography coronary angiography (CTCA) for prospectively gated axial (PGA) technique and retrospectively gated helical (RGH) technique. Methods: Radiation doses were measured for a 320-detector row CT scanner (Toshiba Aquilion ONE) using small sized silicon-photodiode dosimeters, which were implanted at various tissue and organ positions within an anthropomorphic phantom for a standard Japanese adult male. Output signals from photodiode dosimeters were read out on a personal computer, from which organ and effective doses were computed according to guidelines published in the International Commission on Radiological Protection Publication 103. Results: Organs that received high doses were breast, followed by lung, esophagus, and liver. Breast doses obtained with PGA technique and a phase window width of 16% at a simulated heart rate of 60 beats per minute were 13 mGy compared to 53 mGy with RGH technique using electrocardiographically dependent dose modulation at the same phase window width as that in PGA technique. Effective doses obtained in this case were 4.7 and 20 mSv for the PGA and RGH techniques, respectively. Conversion factors of dose length product to the effective dose in PGA and RGH were 0.022 and 0.025 mSv mGy{sup -1} cm{sup -1} with a scan length of 140 mm. Conclusions: CTCA performed with PGA technique provided a substantial effective dose reduction, i.e., 70%-76%, compared to RGH technique using the dose modulation at the same phase windows as those in PGA technique. Though radiation doses in CTCA with RGH technique were the same level as, or some higher than, those in conventional coronary angiography (CCA), the use of PGA technique reduced organ and effective doses to levels less than CCA except for breast dose.

Seguchi, Shigenobu; Aoyama, Takahiko; Koyama, Shuji; Fujii, Keisuke; Yamauchi-Kawaura, Chiyo [Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan) and Department of Medical Technology, Nagoya Daini Red Cross Hospital, Myouken-chou, Showa-ku, Nagoya 466-8650 (Japan); Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan); Section of Radiological Protection, National Institute of Radiological Sciences, Anagawa, Inage-ku, Chiba 263-8555 (Japan); Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan)

2010-11-15T23:59:59.000Z

404

International Journal of Energy Economics and Policy  

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

Journal of Energy Economics and Policy Journal of Energy Economics and Policy Vol. 3, No. 1, 2013, pp.60-74 ISSN: 2146-4553 www.econjournals.com 60 Carbon Emissions Caps and the Impact of a Radical Change in Nuclear Electricity Costs Benjamin D. Leibowicz Management Science and Engineering Department, Stanford University, United States. Email: bleibowicz@stanford.edu Maria Roumpani Management Science and Engineering Department,

405

Wind Energy and Economic Development in Nebraska  

SciTech Connect

This fact sheet summarizes a recent report by the National Renewable Energy Laboratory (NREL), Economic Development Benefits from Wind Power in Nebraska: A Report for the Nebraska Energy Office, which focuses on the estimated economic development impacts in Nebraska from development and operation of wind power in the state as envisioned in the U.S. Department of Energy's (DOE's) report, 20% Wind Energy by 2030.

Lantz, E.

2009-06-01T23:59:59.000Z

406

An inverse theorem on 'economic' maps  

SciTech Connect

We prove that the bound from the theorem on 'economic' maps is best possible. Namely, for m>n+d we construct a map from an n-dimensional simplex to an m-dimensional Euclidean space for which (and for any close map) there exists a d-dimensional plane whose preimage has cardinality not less than the upper bound [(dn+n+1)/(m-n-d)]+d from the theorem on 'economic' maps. Bibliography: 16 titles.

Bogataya, Svetlana I; Bogatyi, Semeon A; Kudryavtseva, Elena A

2012-04-30T23:59:59.000Z

407

The Rise and Fall of Economic History at MIT  

E-Print Network (OSTI)

This paper recalls the unity of economics and economics at MIT before the Second World War, and their divergence thereafter. Economic history at MIT reached its peak in the 1970s with three teachers of the subject to ...

Temin, Peter

2013-06-05T23:59:59.000Z

408

Rethinking the economics of global warming  

SciTech Connect

Most of the debates over the impact of the greenhouse effect have centered around the reliability of computer models and have neglected considerations of the economic effects of attempts to reduce global warming. Economic models have certain limitations but the input of cost benefit analysis is needed for arriving at suitable policies for lowering anthropogenic input into warming of the earth. Care must be used in extrapolating from data of time periods which are inappropriate. Estimates of costs of reducing greenhouse-gas emissions also must include possible benefits; at present this is not being done. Economic models must address differences in the distribution of global warming's consequences over time and geographical space. The costs of delaying or accelerating reduction in greenhouse-gas emissions need to be included in policy considerations. A global agreement must not adversely affect developing countries. Faulty assumptions of the effect of market forces on costs impair economic models. We have to recognize that economic and environmental goals need not be incompatible. If economic models are viewed as possible scenarios and not as predictions, then these scenarios can be useful in determining policies for reducing the greenhouse effect without harming populations and their economies.

Miller, A.; Mintzer, I.; Brown, P.G. (Univ. of Maryland, College Park (USA))

1990-01-01T23:59:59.000Z

409

Trust: Economic Notions and its role in Money and Banking.  

E-Print Network (OSTI)

??This thesis has two aims; to explore the economic notions of trust to develop a coherent understanding of trust within economics and to apply this… (more)

Hughes, Peter T.

2010-01-01T23:59:59.000Z

410

Reassessing Wind Potential Estimates for India: Economic and...  

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

Reassessing Wind Potential Estimates for India: Economic and Policy Implications Title Reassessing Wind Potential Estimates for India: Economic and Policy Implications Publication...

411

Sandia National Laboratories: Sandia/California Economic Impact...  

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

SandiaCalifornia Economic Impact Summary Making an impact Sandia generates nearly 1 billion in economic output in California with nearly half coming from the San Francisco Bay...

412

White House Council of Economic Advisers and Energy Department...  

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

White House Council of Economic Advisers and Energy Department Release New Report on Resiliency of Electric Grid During Natural Disasters White House Council of Economic Advisers...

413

Web-Based Economic and Environmental Optimization of Microgrids  

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

Web-Based Economic and Environmental Optimization of Microgrids Title Web-Based Economic and Environmental Optimization of Microgrids Publication Type Conference Paper LBNL Report...

414

Energy Storage Systems 2007 Peer Review - Economics Presentations...  

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

Economics Presentations Energy Storage Systems 2007 Peer Review - Economics Presentations The U.S. DOE Energy Storage Systems Program (ESS) held an annual peer review on September...

415

Wind Powering America Webinar: Wind Power Economics: Past, Present...  

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

Power Economics: Past, Present, and Future Trends Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends November 23, 2011 - 1:43pm Addthis Wind...

416

U.S. Energy Secretary Bodman Highlights the Economic Incentives...  

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

U.S. Energy Secretary Bodman Highlights the Economic Incentives of Energy Efficiency at the Pittsburgh Energy Summit 2006 U.S. Energy Secretary Bodman Highlights the Economic...

417

Illustrative Calculation of Economics for Heat Pump and "Grid...  

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

Illustrative Calculation of Economics for Heat Pump and "Grid-Enabled" Water Heaters Illustrative Calculation of Economics for Heat Pump and "Grid-Enabled" Water Heaters Rate...

418

Economic resource allocation in system simulation and control design  

E-Print Network (OSTI)

to an economic simulation problem(ESP)[32]. This chapter isan economic design problem ( ESP)[32]. A particularly simplesimulation problem (ESP) as designing the simulation of a

Li, Faming

2006-01-01T23:59:59.000Z

419

Resource and Energy Investment Program - First Peoples Economic...  

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

Resource and Energy Investment Program - First Peoples Economic Growth Fund Inc. (Manitoba, Canada) Resource and Energy Investment Program - First Peoples Economic Growth Fund Inc....

420

NREL: Jobs and Economic Development Impacts (JEDI) Models - About...  

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

Model The Jobs and Economic Development Impacts (JEDI) Photovoltaics (PV) model allows users to estimate economic development impacts from PV projects. JEDI PV has default...

Note: This page contains sample records for the topic "row codea economic" 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

NREL: Jobs and Economic Development Impacts (JEDI) Models - About...  

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

Coal Model The Jobs and Economic Development Impacts (JEDI) Coal model allows the user to estimate economic development impacts from coal power generation projects. Applying a...

422

About Fermilab | Fermilab Fact Sheets | Archives | Economic Impacts  

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

Economic Impacts Economic Impact FY2010 FY2009 FY2008 FY2007 Procurement Distribution Payroll by Zip Code last modified 0207...

423

NREL Report Highlights Positive Economic Impact and Job Creation...  

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

Agencies You are here Home NREL Report Highlights Positive Economic Impact and Job Creation from 1603 Renewable Energy Grant Program NREL Report Highlights Positive Economic...

424

Economic Evaluation of Climate Change Adaptation Projects: Approaches...  

Open Energy Info (EERE)

Economic Evaluation of Climate Change Adaptation Projects: Approaches for the Agricultural Sector and Beyond Jump to: navigation, search Tool Summary Name: Economic Evaluation of...

425

NREL: Jobs and Economic Development Impacts (JEDI) Models - About...  

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

Marine & Hydrokinetic Power Model The Jobs and Economic Development Impacts (JEDI) Marine and Hydrokinetic (MHK) model allows users to estimate economic development impacts from...

426

Energy Implications of Economizer Use in California Data Centers  

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

Us Department Contacts Media Contacts Energy Implications of Economizer Use in California Data Centers Title Energy Implications of Economizer Use in California Data Centers...

427

Can combining economizers with improved filtration save energy...  

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

Contacts Media Contacts Can combining economizers with improved filtration save energy and protect equipment in data centers? Title Can combining economizers with...

428

DOE Announces Webinars on Economic Impacts of Offshore Wind,...  

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

DOE Announces Webinars on Economic Impacts of Offshore Wind, Clean Energy Financing Programs, and More DOE Announces Webinars on Economic Impacts of Offshore Wind, Clean Energy...

429

Fractured elites : the politics of economic crisis in Mexico  

E-Print Network (OSTI)

Economic crises are such powerful socioeconomic disasters that, not surprisingly, they are usually explained by powerful socioeconomic pressures, such as global financial speculation, structural economic failure, or populist ...

Schlefer, Jonathan King

2003-01-01T23:59:59.000Z

430

Development of a Secure, Economic and Environmentally friendly...  

Open Energy Info (EERE)

a Secure, Economic and Environmentally friendly Modern Power System (Smart Grid Project) Jump to: navigation, search Project Name Development of a Secure, Economic and...

431

A second row Parking Paradox  

E-Print Network (OSTI)

We consider two variations of the discrete car parking problem where at every vertex of the integers a car arrives with rate one, now allowing for parking in two lines. a) The car parks in the first line whenever the vertex and all of its nearest neighbors are not occupied yet. It can reach the first line if it is not obstructed by cars already parked in the second line (screening). b) The car parks according to the same rules, but parking in the first line can not be obstructed by parked cars in the second line (no screening). In both models, a car that can not park in the first line will attempt to park in the second line. If it is obstructed in the second line as well, the attempt is discarded. We show that both models are solvable in terms of finite-dimensional ODEs. We compare numerically the limits of first and second line densities, with time going to infinity. While it is not surprising that model a) exhibits an increase of the density in the second line from the first line, more remarkably this is also true for model b), albeit in a less pronounced way.

S. R. Fleurke; C. Kuelske

2008-11-21T23:59:59.000Z

432

" Generation, by Program Sponsorship, Industry Group, Selected"  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity" Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity" " Generation, by Program Sponsorship, Industry Group, Selected" " Industries, and Type of Energy-Management Program, 1994: Part 2" ,,,," Type of Sponsorship of Management Programs" ,,,,,"(1992 through 1994)" ,," " ,,,,,,"Federal, State, or" ,,"No Energy",,"Electric Utility",,"Local Government","Third Party","RSE" "SIC",,"Management","Any Type of","Sponsored","Self-Sponsored","Sponsored","Sponsored","Row" "Code(a)"," Industry Group and Industry","Program(b)","Sponsorship","Involvement","Involvement","Involvement","Involvement","Factors"

433

Economic Evaluation Guide for alternative transportation fuels  

DOE Green Energy (OSTI)

The production of this Economic Evaluation Guide is one activity of AVFCAP. The guide is intended for use by project managers and fleet operators in the public sector. Public fleets have been identified as one of the most likely areas where ATFs will first gain widespread use, because of existing and impending state and federal legislative mandates, as well as for practical reasons such as centralized servicing and refueling. The purpose of this guide is to provide balanced decision-support information to project managers who are considering conducting, or currently managing, ATF demonstration programs. Information for this guide was gathered as part of a related AVFCAP activity, the development of an Information Resource Database. Economic issues related to the development and implementation of ATF programs at the local government level are extremely complex, and require an analysis of federal policies and national and international economics that is generally beyond the scope of local government project managers. The intent of this guide is to examine the information available on the economic evaluation of ATFs, and identify key elements that will help local governments realistically assess the potential costs and savings of an ATF program. The guide also discusses how these various economic factors are related, and how local government priorities affect how different factors are weighed.

de Percin, D.; Werner, J.F. Jr.

1992-12-31T23:59:59.000Z

434

Economic Evaluation Guide for alternative transportation fuels  

DOE Green Energy (OSTI)

The production of this Economic Evaluation Guide is one activity of AVFCAP. The guide is intended for use by project managers and fleet operators in the public sector. Public fleets have been identified as one of the most likely areas where ATFs will first gain widespread use, because of existing and impending state and federal legislative mandates, as well as for practical reasons such as centralized servicing and refueling. The purpose of this guide is to provide balanced decision-support information to project managers who are considering conducting, or currently managing, ATF demonstration programs. Information for this guide was gathered as part of a related AVFCAP activity, the development of an Information Resource Database. Economic issues related to the development and implementation of ATF programs at the local government level are extremely complex, and require an analysis of federal policies and national and international economics that is generally beyond the scope of local government project managers. The intent of this guide is to examine the information available on the economic evaluation of ATFs, and identify key elements that will help local governments realistically assess the potential costs and savings of an ATF program. The guide also discusses how these various economic factors are related, and how local government priorities affect how different factors are weighed.

de Percin, D.; Werner, J.F. Jr.

1992-01-01T23:59:59.000Z

435

Neighborhood Energy/Economic Development project  

SciTech Connect

Energy costs impact low income communities more than anyone else. Low income residents pay a larger percentage of their incomes for energy costs. In addition, they generally have far less discretionary energy use to eliminate in response to increasing energy prices. Furthermore, with less discretionary income, home energy efficiency improvements are often too expensive. Small neighborhood businesses are in the same situation. Improved efficiency in the use of energy can improve this situation by reducing energy costs for residents and local businesses. More importantly, energy management programs can increase the demand for local goods and services and lead to the creation of new job training and employment opportunities. In this way, neighborhood based energy efficiency programs can support community economic development. The present project, undertaken with the support of the Urban Consortium Energy Task Force, was intended to serve as a demonstration of energy/economic programming at the neighborhood level. The San Francisco Neighborhood Energy/Economic Development (NEED) project was designed to be a visible demonstration of bringing the economic development benefits of energy management home to low-income community members who need it most. To begin, a Community Advisory Committee was established to guide the design of the programs to best meet needs of the community. Subsequently three neighborhood energy/economic development programs were developed: The small business energy assistance program; The youth training and weatherization program; and, The energy review of proposed housing development projects.

1991-12-31T23:59:59.000Z

436

Simulation demonstrates economics of minnelusa polymer floods  

SciTech Connect

Defining some variables with a probability distribution can establish more precisely the economic value of such projects as polymer flooding in the Minnelusa formation. An enhanced-oil-recovery (EOR) project often presents a difficult investment decision. The substantial risks and performance uncertainties must be carefully weighted against the investment costs. a Monte Carlo simulation model was used to characterize the incremental economics of a Minnelusa polymer flood. The principal questions addressed in this paper are: What is the likelihood of the EOR project being an economic success What is the expected economic benefit of the polymer flood With representative field parameters and price projections, the typical Minnelusa polymer flood was found to have a 93% chance of economic success. The expected monetary value (EMV) for the project is $1.6 million. This expected net gain results from the incremental cost of about $50,000 for additional surface equipment and about $480,000 for chemicals. Although each project must be evaluated on its own merits, these results present a strong case of considering polymer-augmented floods in the Minnelusa.

Hochanadel, S.M. (Tiorco Inc., Englewood, CO (US)); Schuyler, J.R.

1991-05-27T23:59:59.000Z

437

Economic Aspects of Small Modular Reactors  

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

Economic Aspects of Small Modular Reactors March 1, 2012 Introduction The potential for SMR deployment will be largely determined by the economic value that these power plants would provide to interested power producers who would evaluate their prospects in relation to other options for generating electricity. To help better understand this proposition, DOE enlisted the Energy Policy Institute at Chicago in 2010 to conduct an economic analysis of SMRs based upon what is known today. Their findings were summarized in a paper by Robert Rosner and Stephen Goldberg, released in December, 2011, titled "Small Modular Reactors - Key to Future Nuclear Power Generation in the U.S." This brief paper will highlight some of the key finding from the study

438

New England Wind Forum: Wind Power Economics  

Wind Powering America (EERE)

State Activities Projects in New England Building Wind Energy in New England Wind Resource Wind Power Technology Economics Cost Components Determining Factors Influencing Wind Economics in New England How does wind compare to the cost of other electricity options? Markets Siting Policy Technical Challenges Issues Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share Wind Power Economics Long-Term Cost Trends Since the first major installations of commercial-scale wind turbines in the 1980s, the cost of energy from wind power projects has decreased substantially due to larger turbine generators, towers, and rotor lengths; scale economies associated with larger projects; improvements in manufacturing efficiency, and technological advances in turbine generator and blade design. These technological advances have allowed for higher generating capacities per turbine and more efficient capture of wind, especially at lower wind speeds.

439

Survey of the Economics of Hydrogen Technologies  

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

the Economics of the Economics of Hydrogen Technologies September 1999 * NREL/TP-570-27079 C.E.G. PadrĂł and V. Putsche National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-98-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-98-GO10337 September 1999 * NREL/TP-570-27079 Survey of the Economics of Hydrogen Technologies C.E.G. PadrĂł and V. Putsche Prepared under Task No. HY921013 NOTICE This report was prepared as an account of work sponsored by an agency of the United States

440

Economic Considerations of Nuclear Desalination in Korea  

SciTech Connect

The objective of this study is to assess the economics of SMART (System-integrated Modular Advanced Reactor) desalination plant in Korea through DEEP (Devaluation Economic Evaluation Program). SMART is mainly designed for the dual purpose of producing water and electricity with the total capacity of 100 MWe which 10 MWe is used for water production and the remains for the electric generation. SMART desalination plant using MED (Multi-Effect Distillation) process is in the stage of the commercial development and its cost information is also being accumulated. In this circumstances, the economic assessment of nuclear desalination by SMART and the effect of water(or electric) supply price to the regional economy is meaningful to the policy maker. This study is focused on the case study analysis about the economics of SMART desalination plant and the meanings of the case study result. This study is composed of two parts. One is prepared to survey the methodology regarding cost allocation between electricity and water in DEEP and the other is for the economic assessment of SMART. The cost allocation methods that have been proposed or used can be classified into two main groups, one is the cost prorating method and the other is the credit method. The cost of an product item in the dual-purpose plant can be determined differently depending on the costing methods adopted. When it comes to applying credit method adopted in this thesis, the production cost of water depends on what kind of the power cost will be chosen in calculating the power credit. This study also analyses the changes of nuclear desalination economics according to the changes of the important factors such as fossil fuel price. I wish that this study can afford to give an insight to the policy maker about SMART desalination plant. (authors)

Man-Ki, Lee; Seung-Su, Kim [Korea Atomic Energy Research Institute, 150, Deok-jin dong, Yu-seong gu, Dae-jeon city (Korea, Republic of)

2006-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

Material to Efficiently and Economically Obtain Microorganism and Microalgae  

Technology provides an economical and efficient process to harvest microorganisms like microalgae from its growth media.

442

Renewable energy consumption and economic efficiency: Evidence from European countries  

Science Conference Proceedings (OSTI)

This paper examines the relationship between renewable energy consumption and economic efficiency. For this reason

2013-01-01T23:59:59.000Z

443

Stakeholder Engagement and Outreach: Wind Economic Development  

Wind Powering America (EERE)

Development Development This page provides software applications and publications to help individuals, developers, local governments, and utilities make decisions about wind power. Projecting costs and benefits of new installations, including the economic development impacts created, is a key element in looking at potential wind applications. Communities, states, regions, jobs (i.e., construction, operations and maintenance), the tax base, tax revenues, and others can be positively affected. These benefits are in addition to the impacts for the owner or developer. Wind, A Montana County's Plan to Reverse a Declining Tax Base and Expand Economic Opportunities Thumbnail of the Cascade County Wind Power brochure. Cascade County, Montana, Commissioner Peggy Beltrone, initiated an

444

economic means to permanently store CO  

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

economic means to permanently store CO economic means to permanently store CO 2 in unmineable coal seams. Prior to the injection, horizontal coalbed methane (CBM) wells were drilled approximately 1,200 to 1,800 feet underground in a five-spot pattern over a 200-acre area in the unmineable Upper Freeport coal seam. As part of this $13 million field trial, which is being conducted under the collaboration of the National Energy Technology Laboratory (NETL), West Virginia University, and CONSOL Energy, Inc., CO 2 will be injected at a pressure of up to 700 pounds per square inch (psi)

445

Advanced Fuel Cycle Economic Sensitivity Analysis  

Science Conference Proceedings (OSTI)

A fuel cycle economic analysis was performed on four fuel cycles to provide a baseline for initial cost comparison using the Gen IV Economic Modeling Work Group G4 ECON spreadsheet model, Decision Programming Language software, the 2006 Advanced Fuel Cycle Cost Basis report, industry cost data, international papers, the nuclear power related cost study from MIT, Harvard, and the University of Chicago. The analysis developed and compared the fuel cycle cost component of the total cost of energy for a wide range of fuel cycles including: once through, thermal with fast recycle, continuous fast recycle, and thermal recycle.

David Shropshire; Kent Williams; J.D. Smith; Brent Boore

2006-12-01T23:59:59.000Z

446

Coke gasification costs, economics, and commercial applications  

Science Conference Proceedings (OSTI)

The disposition of petroleum coke remains a problem for modern high conversion refineries. Market uncertainty and the price for coke can prevent the implementation of otherwise attractive projects. The commercially proven Texaco Gasification Process remains an excellent option for clean, cost effective coke disposition as demonstrated by the new coke gasification units coming on-line and under design. Previous papers, have discussed the coke market and general economics of coke gasification. This paper updates the current market situation and economics, and provide more details on cost and performance based on recent studies for commercial plants.

Jahnke, F.C.; Falsetti, J.S.; Wilson, R.F. [Texaco, Inc., White Plains, NY (United States)

1996-12-01T23:59:59.000Z

447

Southern California Leading Economic Indicator May 2007 Institute for Economic and Environmental Studies (IEES), California State University Fullerton  

E-Print Network (OSTI)

Southern California Leading Economic Indicator May 2007 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph.D. Department of Economics, California State University Fullerton Institute for Economic and Environmental Studies (IEES) phone (714) 278

de Lijser, Peter

448

Southern California Leading Economic Indicator May 2008 Institute for Economic and Environmental Studies (IEES), California State University Fullerton  

E-Print Network (OSTI)

Southern California Leading Economic Indicator May 2008 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph.D. Department of Economics, California State University Fullerton Institute for Economic and Environmental Studies (IEES) phone (714) 278

de Lijser, Peter

449

Workshop on Carbon Sequestration Science -- Economics  

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

Economics Economics Howard Herzog MIT Energy Laboratory May 22, 2001 Cost Components * Capture S Separation S Compression * Sequestration S Transport S Injection Approach * Extract cost data from literature studies S Includes capture and compression S Excludes transportation and injection * Adjust cost data to common economic basis * Construct composite cost model * Conduct sensitivity analyses and other studies with the composite cost model Methodology for Analysis of Economic Studies 7210 Btu/kWh 2884 x 10 6 Btu/hr CO 2 to atmosphere 270 tonnes/hr (0.674 kg/kWh) 400 MW a) Reference Plant (No Capture) 9173 Btu/kWh 2884 x 10 6 Btu/hr 2 CO to atmosphere 28 tonnes/hr (0.088 kg/kWh) 314 MW 242 tonnes/hr (0.769 kg/kWh) b) Capture Plant CO 2 captured CO 2 Captured vs. CO 2 Avoided 0 0.2 0.4 0.6 0.8 1 Reference Plant Capture Plant

450

Comparative economics of passive and active systems  

SciTech Connect

As the interest in solar energy applications for residential space heating grows, it becomes imperative to evaluate the economic performance of alternative designs. One passive design is concentrated on--the thermal mass storage wall. The economic performance of this design is examined and subsequently contrasted with one active design--the air collector/rock storage system. Architectural design criteria, solar performance characteristics, and the incremental solar cost of each design is briefly reviewed. Projections of conventional energy prices are discussed, along with the optimal sizing/feasibility criterion employed in the economic performance analysis. In addition, the effects of two incentive proposals--income tax credits and low interest loans--upon each design are examined. Results are reported on a state-by-state basis for the U.S., with major conclusions summarized for each design. It is generally the case that incentives greatly enhance the economics of both system designs, although the contrast is greater for the passive design. Also, against the less expensive conventional fuels (natural gas and heating oil) the passive design was shown to offer a more cost effective alternative than the active system for most states.

Roach, F.; Noll, S.; Ben-David, S.

1978-01-01T23:59:59.000Z

451

CALIFORNIA'S "ECONOMIC PRODUCTIVITY" OF WATER USE  

E-Print Network (OSTI)

CALIFORNIA'S "ECONOMIC PRODUCTIVITY" OF WATER USE Jobs, Income, and Water Use in California Peter H revenues/income, and total water use in California for various industrial and commercial sectors, using and business strategies, however, can lead to substantial benefits for California's economy, job picture

452

Socio-economic dynamics of biofuel  

E-Print Network (OSTI)

a first target of a 2-percent-share of biofuels in the energy consumption of the European Union by 2005, which then was not met. The target for 2010 is 5.75 percent biofuels. #12;2 Socio-economic dynamics their initial targets for the mandatory use of biofuels and enacted by-laws for a certified sustainability

453

Economic Impact of the Texas Poultry Industry  

E-Print Network (OSTI)

It is estimated that the Texas poultry industry contributes more than $1.6 billion to the state's economy, according to results of a survey of broiler, egg and turkey producers operating in 2003. Details about industry income, employees and economic impact are presented in this publication.

Carey, John B.

2004-12-02T23:59:59.000Z

454

NRC policy on Economic Performance Incentives  

SciTech Connect

The recognition by the NRC of the potential negative impact on safe nuclear plant operations of an expanded role for state and local governments in the regulation of commercial nuclear power plants is particularly poignant in its July 1991 Policy Statement on Possible Safety Impacts of Economic Performance Incentives (the 1991 Policy Statement). The 1991 Policy Statement is concerned with financial incentives provided to utilities with nuclear plants by state public utility commissions, in their regulation of electric power rates, to reward or penalize the economic performance of nuclear plants. Section 271 of the Act allows for regulation of electric power rates by state governments, which prerogative section 274(k) affirms. However, the NRC is concerned that the direct regulation of electric power rates could result in the indirect regulation of the radiological aspects of nuclear plant operations and could compromise the safe operation of nuclear plants. The 1991 Policy Statement indicates the NRC will continue to monitor the use of economic performance incentives. Finally, it requests that state public utility commissions advise the NRC of their economic performance incentive programs and of the rewards and penalties provided thereunder.

NONE

1992-12-31T23:59:59.000Z

455

Federal Agencies Economics & Social Analysis Division  

E-Print Network (OSTI)

Conservation U.S. Department of State http://www.state.gov/g/oes/ocns/ North Pacific Federal Agencies Economic of State http://www.state.gov/g/oes/ocns/ State Agencies Alaska Department of Fish & Game http://www.adfg.state of Marine Conservation U.S. Department of State http://www.state.gov/g/oes/ocns/ State Agencies California

456

Assessing Forecast Accuracy Measures Department of Economics  

E-Print Network (OSTI)

Assessing Forecast Accuracy Measures Zhuo Chen Department of Economics Heady Hall 260 Iowa State forecast accuracy measures. In the theoretical direction, for comparing two forecasters, only when the errors are stochastically ordered, the ranking of the forecasts is basically independent of the form

457

Essays on Power System Economics Dissertation  

E-Print Network (OSTI)

Farms We explore the optimal size of the transmission line from distant wind farms, modeling of Doctor of Philosophy in Economics. #12;2 Abstract Chapter 1: Optimizing Transmission from Distant Wind minimum contracted supply leads to connecting more distant wind farms. Chapter 2: The optimal baseload

458

Economic Analysis of Alternative Fuel School Buses  

DOE Green Energy (OSTI)

This Clean Cities final report provides a general idea of the potential economic impacts of choosing alternative fuels for school bus fleets. It provides information on different school bus types, as well as analysis of the three main types of alternative fuel used in school bus fleets today (natural gas, propane, and biodiesel).

Laughlin, M.

2004-04-01T23:59:59.000Z

459

An economic model of software quality costs  

Science Conference Proceedings (OSTI)

As of today there is very little knowledge is available about the economics of software quality. The costs incurred and benefits of implementing different quality practices over the software development life cycle are not well understood. There are some ... Keywords: TQM, quality cost model, software quality

Amel Kolašinac; Ljubomir Lazic; Dženan Avdic

2008-11-01T23:59:59.000Z

460

Unconventional gas outlook: resources, economics, and technologies  

Science Conference Proceedings (OSTI)

The report explains the current and potential of the unconventional gas market including country profiles, major project case studies, and new technology research. It identifies the major players in the market and reports their current and forecasted projects, as well as current volume and anticipated output for specific projects. Contents are: Overview of unconventional gas; Global natural gas market; Drivers of unconventional gas sources; Forecast; Types of unconventional gas; Major producing regions Overall market trends; Production technology research; Economics of unconventional gas production; Barriers and challenges; Key regions: Australia, Canada, China, Russia, Ukraine, United Kingdom, United States; Major Projects; Industry Initiatives; Major players. Uneconomic or marginally economic resources such as tight (low permeability) sandstones, shale gas, and coalbed methane are considered unconventional. However, due to continued research and favorable gas prices, many previously uneconomic or marginally economic gas resources are now economically viable, and may not be considered unconventional by some companies. Unconventional gas resources are geologically distinct in that conventional gas resources are buoyancy-driven deposits, occurring as discrete accumulations in structural or stratigraphic traps, whereas unconventional gas resources are generally not buoyancy-driven deposits. The unconventional natural gas category (CAM, gas shales, tight sands, and landfill) is expected to continue at double-digit growth levels in the near term. Until 2008, demand for unconventional natural gas is likely to increase at an AAR corresponding to 10.7% from 2003, aided by prioritized research and development efforts. 1 app.

Drazga, B. (ed.)

2006-08-15T23:59:59.000Z

Note: This page contains sample records for the topic "row codea economic" 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

COMPUTATIONAL ECONOMICS AT THE COMPUTATION INSTITUTE  

E-Print Network (OSTI)

COMPUTATIONAL ECONOMICS AT THE COMPUTATION INSTITUTE Summary of 3-D Discussions Prepared by Ken Judd Autumn Quarter, 2006 In the Autumn quarter, 2006, Computation Institute Director Ian Foster of some topic. The first set of 3-D talks brought together a variety of computational scientists

462

The economic impact of cyber terrorism  

Science Conference Proceedings (OSTI)

What is the economic impact of cyber terrorism? Can organizations achieve strategic advantage in the cyber terrorism game? A general game theoretical model is proposed to study the optimal information systems (ISs) security investment and then applied ... Keywords: Cyber terrorism, Game theory, Information systems security, Security investment

Jian Hua, Sanjay Bapna

2013-06-01T23:59:59.000Z

463

EIA - Low Economic Growth Case Projection Tables 1990-2030  

Gasoline and Diesel Fuel Update (EIA)

Low Economic Growth Case Projection Tables (1990-2030) Low Economic Growth Case Projection Tables (1990-2030) International Energy Outlook 2006 Low Economic Growth Case Projection Tables (1990-2030) Formats Data Table Titles (1 to 13 complete) Low Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800. Low Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table C1 World Total Primary Energy Consumption by Region, Low Economic Growth Case Low Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800. Low Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table C2 World Total Energy Consumption by Region and Fuel, Low Economic Growth Case

464

Alternative Fuels Data Center: Alternative Fuel Economic Development  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Alternative Fuel Alternative Fuel Economic Development to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Economic Development on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Economic Development on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Economic Development on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Economic Development on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Economic Development on Digg Find More places to share Alternative Fuels Data Center: Alternative Fuel Economic Development on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Alternative Fuel Economic Development To stimulate local economic development, landowners may apply to amend the

465

Economic Perceptions and Economic Voting in Post Communist Countries of East Central Europe  

E-Print Network (OSTI)

the Economic Transition in Poland, 1990–1995. ” Europe-AsiaChoices in Post-Communist Poland. ” Party Politics 8 (5):and Voting Behavior in Poland. ” American Political Science

Tverdova, Yuliya V.

2007-01-01T23:59:59.000Z

466

The economic impacts of highway widening projects  

E-Print Network (OSTI)

Highway widening is one alternative for increasing capacity on a particular section of roadway. Capacity is the maximum hourly rate at which vehicles can reasonably be expected to traverse a uniform section of a roadway during a given time under prevailing roadway, traffic, and control conditions. Added capacity has economic, environmental, and social impact tradeoffs that must be considered. Economic tradeoffs of land value impacts were considered for this research study. Land scarcity, as related to value, was analyzed with respect to highway widening improvements on abutting land use. Previous literature included several modelling techniques used for measuring economic impacts of highway improvements. The before-and-after study approach was selected for analyzing land values, rather than parallel-area or control-area study approaches. This study involved a before-and-after economic analysis, where the before period d represented economic make-up of land parcels without Improvements, while the after period represented market value on land parcels once construction was completed. A design matrix was developed from data available for two highway types, multilane highway and freeway, on pre-selected sites. Location selection was based on prior knowledge and availability of land value data. Study variables included four design characteristics and four property types. These variables were used to determine whether increases in land value occurred on adjacent properties as a result of widening. A paired data statistical analysis was performed for both facility types. Results of the statistical analysis indicated that property values generally decreased for both facilities. Impacts on abutting property for each location reflected minimal changes in value. Therefore, the results do not suggest an increase in property values because of highway widening. The most important recommendation from this research study includes a combination of two factors.- 1) further research needed to look at areas outside of the construction zone and 2) consideration for lengthening the after study period. The parallel-area or control-area study approach is recommended for further study of economic impacts on land values. In addition, more data for the after construction period, preferably five to ten years, could be applied to better estimate effects.

Jackson, Patricia Ann

1997-01-01T23:59:59.000Z

467

Variables Affecting Economic Development of Wind Energy  

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

Variables Affecting Economic Variables Affecting Economic Development of Wind Energy E. Lantz and S. Tegen National Renewable Energy Laboratory Presented at WINDPOWER 2008 Houston, Texas June 1-4, 2008 Conference Paper NREL/CP-500-43506 July 2008 NREL is operated by Midwest Research Institute â—Ź Battelle Contract No. DE-AC36-99-GO10337 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI 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.

468

Economics of Electric Compressors for Gas Transmission  

E-Print Network (OSTI)

Three new factors are coming together to motivate gas pipeline firms to consider electric motors for replacement of older reciprocating gas engines for compressor systems, and for new compressor installations. These factors are environmental regulations, economics, and new compressor technology. In ozone Non-Attainment regions, it is necessary to bring gas compressors into compliance with NOx regulations, and replacement with new electric systems represents a Lowest Achievable Emission Rate (LAER) option. Outside of these regions, new electric drives as well as gas fueled reciprocating engines and turbines are being considered for replacement of older reciprocating gas engines and compressor units, based on improved operating efficiency. We review here the impacts of the Clean Air Act Amendments of 1990 and economics on the selection process for considering electric drives versus alternatives for both ozone Non-Attainment areas and Attainment areas.

Schmeal, W. R.; Hibbs, J. J.

1994-04-01T23:59:59.000Z

469

The economics of repowering steam turbines  

SciTech Connect

Repowering is defined as displacing steam presently generated in an existing fossil fuel fired boiler with a gas turbine-heat recovery steam generator (HRSG) system. The steam generated in the HRSG is expanded in the existing steam turbine generator. Repowering advantages include a significant increase in power output at an improved heat rate relative to the base value for the existing steam turbine cycle being repowered. In addition, the reduction in emissions can be advantageous in most locations. This paper discusses application and economic considerations associated with repowering. In addition, an illustration will show how repowering coal fired steam turbine systems may prove economic relative to retrofit scrubbers and/or low sulfur coal fuel substitution that may be part of the forthcoming acid rain legislation.

Kovacik, J.M.; Stoll, H.G. (General Electric Co., Schenectady, NY (United States))

1990-01-01T23:59:59.000Z

470

Economic assessment of the thin polymer icemaker  

DOE Green Energy (OSTI)

We have constructed and tested a small device to produce ice in ice/water mixtures using a cold fluid as the heat sink. The device is a flexible heat exchanger constructed from a thin film of a suitable polymer. When filled with circulating liquid coolant the heat exchanger consists of an inflated series of parallel tubes; Ice forms on the outside in complementary half cylinders. When the circulation in cut off, gravity drains the coolant and the static head of the water bath crushes the tubes, freeing them from the ice which floats to the surface. We here report an economic assessment of this device. In its present form, we find it competitive with existing commercial ice making systems. The analysis also points out two areas where further technical progress could lead to a significant economic advantage for the polymer film ice maker.

Leigh, R.W. (Pratt Inst., Brooklyn, NY (United States))

1992-07-01T23:59:59.000Z

471

Electricity economics: essays and case studies  

SciTech Connect

These studies deal with the economic theory and practice of pricing and investment in electricity supply. There are seven chapters on applications, five on principles, and the final four clear up some deficiencies in existing theory. The chapters following an introductory chapter are Economics, Finance, and Equity in Tariff Policy; Electricity Tariffs in Thailand; Electricity Tariffs in Tunisia; Electricity Tariffs in Sudan; An American Tariff Structure; Rural Electrification in Developing Countries; Electricity Development in Turkey: A Case Study Using Linear Programming; How to Study Tariffs; The Rate of Return on Projects--and Relations between Pricing and Investments; The Willingness-to-Pay Criterion; a Layman's Guide to Shadow Pricing; Investment Planning Models; Optimal Electricity Pricing Under Uncertainty; Cost Structure in Hydro and Hydro-Thermal Systems; Tariff Structures with Simple Metering; and A Note on Optimal Pricing and Indivisibilities. (MCW)

Turvey, R.; Anderson, D.

1977-01-01T23:59:59.000Z

472

Economic analysis of geothermal energy costs  

SciTech Connect

A description is given of the computer program, GEOCOST, and its application to some analyses of the economics of geothermal energy. GEOCOST combines both technical and economic factors into one systematic cost accounting framework. The program, which simulates production of electricity from most types of geothermal resources, is composed of two parts: a reservoir model which simulates the costs associated with the exploration, development, and operation of a geothermal reservoir; and a power-plant model which simulates the costs associated with the design, construction, and operation of the power plant. The costs from the reservoir model become the energy supply costs to the power plant. The combined reservoir and power plant models represent the complete energy production system. (LBS)

Bloomster, C.H.

1975-01-01T23:59:59.000Z

473

Energy economics: growth, resources and policies  

SciTech Connect

The book reviewed here tries to bring together different aspects of energy - in particular, economic and technical aspects - in a unified and self-contained treatment, designed for a wide and nonspecialized readership. The presentation is set out under five headings: energy demand (two chapters with an introduction); supply factors (six extended chapters, comprising some 40% of the text); the market for energy; the world energy outlook; and issues of energy policy. At each stage there is in effect a blend of information and analysis, the proportions varying according to the precise topic. The main unifying theme is that of the present world predicament. Energy Economics is a useful and in many ways impressive book, and an encouraging instance of interdisciplinary teamwork. But unfortunately, it does not fully make good the claim implied in its title.

Eden, R.; Posner, M.; Bending, R.; Crouch, E.; Stanislaw, J.

1981-01-01T23:59:59.000Z

474

Economic Models with Chaotic Money Exchange  

E-Print Network (OSTI)

This paper presents a novel study on gas-like models for economic systems. The interacting agents and the amount of exchanged money at each trade are selected with different levels of randomness, from a purely random way to a more chaotic one. Depending on the interaction rules, these statistical models can present different asymptotic distributions of money in a community of individuals with a closed economy.

Pellicer-Lostao, Carmen

2009-01-01T23:59:59.000Z

475

Economic Impacts of Carbon Taxes: Detailed Results  

Science Conference Proceedings (OSTI)

Due to the possibility that rising concentrations of atmospheric greenhouse gases might cause undesirable climate change, policies to restrict emissions of carbon dioxide, a greenhouse gas, have been proposed. Such proposals frequently take the form of carbon taxes. This report presents the detailed results of an examination of the economic costs of carbon taxes, including where and how the U.S. economy would be impacted.

1995-01-04T23:59:59.000Z

476

Economic Impacts of Carbon Taxes: Overview  

Science Conference Proceedings (OSTI)

Due to the possibility that rising concentrations of atmospheric greenhouse gases might cause undesirable climate change, policies to restrict emissions of carbon dioxide, a greenhouse gas, have been proposed. Such proposals frequently take the form of carbon taxes. This report presents an overview of the results of a detailed examination of the economic costs of carbon taxes, including where and how the U.S. economy would be impacted.

1995-01-04T23:59:59.000Z

477

WEST VIRGINIA COLLEGE OF BUSINESS AND ECONOMICS  

E-Print Network (OSTI)

the Washington MSA), and thus owes much of its economic activity to the Washington, DC, area. Berkeley and Morgan reflects the region's close ties to the Washington, DC, area, as well as the Veterans Administration Center 54,225 39.4 12.2% $33,517 6.0% Morgan County 17,535 45.8 19.0% $28,066 8.3% Washington DC MSA 5

Mohaghegh, Shahab

478

Federal Agencies Economics & Social Analysis Division  

E-Print Network (OSTI)

Conservation U.S. Department of State http://www.state.gov/g/oes/ocns/ North Pacific Federal Agencies Economic://alaska.fws.gov/ District 17, U.S. Coast Guard http://www.uscg.mil/D17/ State Agencies Alaska Department of Fish & Game http://www.adfg.state://www.fws.gov/pacific/ District 14, U.S. Coast Guard http://www.uscg.mil/d14/ State Agencies Hawaii Department of Land & Natural

479

Economic Development Through Biomass Systems Integration  

Science Conference Proceedings (OSTI)

Current research has shown the economic feasibility of integrated biomass systems using willow as an energy crop feedstock along with available wood wastes. Utility members in the Empire State Biopower Consortium anticipate conversion of four pulverized-coal plants for co-firing at 10% by heat content. Co-firing would be a prelude to repowering with a high-efficiency biopower system by 2012.

1995-10-07T23:59:59.000Z

480

Feedstock Economics for Global Steam Crackers  

E-Print Network (OSTI)

The high level of current profitability within the petrochemical industry has spurred an unprecedented number of announcements of new global capacity. Many of the announcements have been made by organizations with no previous background in petrochemicals, who believe they possess strategic competitive advantages for success in the business. The choice of cracking feedstocks has a tremendous impact on the future economic success of the venture. Feedstock determines the two major economic variables in ethylene plants: first cost and operating cost. For any particular ethylene plant design capacity, there is a range in investment cost, driven primarily by the choice of feedstock. In addition, feedstock costs represent over two-thirds of plant operating costs. This study presents the results of SRI work on determining the economics of ethylene plants based upon five alternative feedstocks, and then modifying the data for 10 global regions in which significant new ethylene capacity has been announced. The five feedstocks considered are: ethane, propane, butane, wide range naphtha, and atmospheric gas oil. The 10 regions considered in the study are the US Gulf Coast, Brazil, Western Canada, China, Indonesia, Japan, Saudi Arabia, South Korea, Taiwan, and West Germany. The business climate considered in the study is the second half of 1989, and the market prices used for feedstock, utilities, products and labor represent average contract prices during the fourth quarter of 1989.

McCormack, G.; Pavone, T.

1990-06-01T23:59:59.000Z

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


481

ZIP. Economic Insulation Levels for Houses  

SciTech Connect

ZIP was developed to support the calculations and database used to estimate the economic levels of insulation published in the U.S. Department of Energy`s Insulation Fact Sheet. The program allows the user to estimate economic levels of insulation for attics, exterior walls, floors over unheated areas, slab floors, and basement and crawlspace walls for new and existing houses in any 3-digit zip code location in the U.S., based on local climate data, local prices for energy and insulation, and the type and estimated efficiency of its heating and cooling system. ZIP recognizes five different heating systems: natural gas, oil furnaces, electric furnaces, electric baseboard, and electric heat pump and two cooling systems: central and window electric air conditioners. An evaporative cooling system can also be specified, but this is not treated as a true air-conditioning system. In addition, the user can specify the approximate operating efficiency of the heating and cooling systems (low, medium, high, or very high). ZIP can be run for a single zip code and specified heating and cooling system or in a batch mode for any number of consecutive zip codes to provide a table of economic insulation levels for use at the state or national level.

McElroy, D. [Oak Ridge National Lab., TN (United States)

1989-01-01T23:59:59.000Z

482

ZIP. Economic Insulation Levels for Houses  

SciTech Connect

ZIP was developed to support the calculations and database used to estimate the economic levels of insulation published in the U.S. Department of Energy's Insulation Fact Sheet. The program allows the user to estimate economic levels of insulation for attics, exterior walls, floors over unheated areas, slab floors, and basement and crawlspace walls for new and existing houses in any 3-digit zip code location in the U.S., based on local climate data, local prices for energy and insulation, and the type and estimated efficiency of its heating and cooling system. ZIP recognizes five different heating systems: natural gas, oil furnaces, electric furnaces, electric baseboard, and electric heat pump and two cooling systems: central and window electric air conditioners. An evaporative cooling system can also be specified, but this is not treated as a true air-conditioning system. In addition, the user can specify the approximate operating efficiency of the heating and cooling systems (low, medium, high, or very high). ZIP can be run for a single zip code and specified heating and cooling system or in a batch mode for any number of consecutive zip codes to provide a table of economic insulation levels for use at the state or national level.

McElroy, D. (Oak Ridge National Lab., TN (United States))

1989-01-01T23:59:59.000Z

483

Inertial fusion: strategy and economic potential  

SciTech Connect

Inertial fusion must demonstrate that the high target gains required for practical fusion energy can be achieved with driver energies not larger than a few megajoules. Before a multi-megajoule scale driver is constructed, inertial fusion must provide convincing experimental evidence that the required high target gains are feasible. This will be the principal objective of the NOVA laser experiments. Implosions will be conducted with scaled targets which are nearly hydrodynamically equivalent to the high gain target implosions. Experiments which demonstrate high target gains will be conducted in the early nineties when multi-megajoule drivers become available. Efficient drivers will also be demonstrated by this time period. Magnetic fusion may demonstrate high Q at about the same time as inertial fusion demonstrates high gain. Beyond demonstration of high performance fusion, economic considerations will predominate. Fusion energy will achieve full commercial success when it becomes cheaper than fission and coal. Analysis of the ultimate economic potential of inertial fusion suggests its costs may be reduced to half those of fission and coal. Relative cost escalation would increase this advantage. Fusions potential economic advantage derives from two fundamental properties: negligible fuel costs and high quality energy (which makes possible more efficient generation of electricity).

Nuckolls, J.H.

1983-01-01T23:59:59.000Z

484

A Low Carbon Economic Strategy for Scotland | Open Energy Information  

Open Energy Info (EERE)

Low Carbon Economic Strategy for Scotland Low Carbon Economic Strategy for Scotland Jump to: navigation, search Name A Low Carbon Economic Strategy for Scotland Agency/Company /Organization Government of Scotland Sector Energy, Land Topics Market analysis, Background analysis Website http://www.scotland.gov.uk/Res Country United Kingdom UN Region Western Europe References A Low Carbon Economic Strategy for Scotland[1] Abstract The Low Carbon Economic Strategy is an integral part of the Government's Economic Strategy (GES) to secure sustainable economic growth, and is a key component of our broader approach to meeting Scotland's climate change targets and securing the transition to a low carbon economy in Scotland "The Low Carbon Economic Strategy is an integral part of the Government's

485

NREL: News - NREL's Economic Benefit to Colorado totals $814...  

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

413 NREL's Economic Benefit to Colorado totals 814.8 Million in FY 2012 Energy laboratory is one of Jefferson County's largest employers February 22, 2013 The net economic benefit...

486

EIA - High Economic Growth Case Projection Tables 1990-2030  

Gasoline and Diesel Fuel Update (EIA)

High Economic Growth Case Projection Tables (1990-2030) High Economic Growth Case Projection Tables (1990-2030) International Energy Outlook 2006 High Economic Growth Case Projection Tables (1990-2030) Formats Data Table Titles (1 to 13 complete) High Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800. High Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table B1 World Total Primary Energy Consumption by Region, High Economic Growth Case High Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800. High Economic Growth Case Projection Tables. Need help, contact the National Energy Information Center at 202-586-8800.

487

The California Seed Industry: A Measure of Economic Activity and  

E-Print Network (OSTI)

The California Seed Industry: A Measure of Economic Activity and Contribution to California Agriculture William A. Matthews* University of California Agricultural Issues Center of California Agricultural Issues Center. #12; The California Seed Industry: A Measure of Economic Activity

Hammock, Bruce D.

488

14.33 Economics Research and Communication, Spring 2002  

E-Print Network (OSTI)

Designed to expose students to the process of conducting independent research in empirical economics and effectively communicating the results of the research. Begins with an econometric analysis of an assigned economic ...

Ellison, Sara Fisher

489

The Economics of Trade, Biofuel, and the Environment  

E-Print Network (OSTI)

prices. The reason: demand for biofuel increases, and ?rst-The Economics of Trade, Biofuel, and the Environment GalThe Economics of Trade, Biofuel, and the Environment ? Gal

Hochman, Gal; Sexton, Steven; Zilberman, David D.

2010-01-01T23:59:59.000Z

490

U.S. Economic Sensitivity to Weather Variability  

Science Conference Proceedings (OSTI)

To estimate the economic effects of weather variability in the United States, the authors define and measure weather sensitivity as the variability in economic output that is attributable to weather variability, accounting for changes in technology and ...

Jeffrey K. Lazo; Megan Lawson; Peter H. Larsen; Donald M. Waldman

2011-06-01T23:59:59.000Z

491

Audit of the Department of Energy's Grant for Economic Development...  

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

Grant for Economic Development at the Mound Plant, ER-B-97-02 Audit of the Department of Energy's Grant for Economic Development at the Mound Plant, ER-B-97-02 Audit of the...

492

Ex Post Analysis of Economic Impacts from Wind Power Development...  

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

Ex Post Analysis of Economic Impacts from Wind Power Development in U.S. Counties Title Ex Post Analysis of Economic Impacts from Wind Power Development in U.S. Counties...

493

Canada-Saskatchewan Western Economic Partnership Agreement (Saskatchewan, Canada)  

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

The Canada-Saskatchewan Western Economic Partnership Agreement (WEPA) is a four-year, $50-million federal/provincial agreement designed to encourage economic development and growth in the...

494

Audit of Economic Development Grants and a Cooperative Agreement...  

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

Economic Development Grants and a Cooperative Agreement with East Tennessee Not-For-Profit Organizations, ER-B-97-01 Audit of Economic Development Grants and a Cooperative...

495

Estimating the Economic Cost of Sea-Level Rise  

E-Print Network (OSTI)

To improve the estimate of economic costs of future sea-level rise associated with global climate change,

Sugiyama, Masahiro.

496

Assessing the Economic Impact of LLNL’s Additive Manufacturing ...  

Assessing the Economic Impact of LLNL’s Additive Manufacturing Technology Danny Katz / Hannah Farqquar Market Intelligence Industrial Partnerships Office

497

Biomass and Biofuels: Technology and Economic Overview (Presentation)  

DOE Green Energy (OSTI)

Presentation on biomass and biofuels technology and economics presented at Pacific Northwest National Laboratory, May 23, 2007.

Aden, A

2007-05-23T23:59:59.000Z

498

Power laws in economics and elsewhere J. Doyne Farmer  

E-Print Network (OSTI)

. . . . . . . . . . . . . . . . . . . . . . . . 20 McKinsey Professor, Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe NM 87501 Economics

499

Distribution Efficiency: Modeling, Volt-Var Control, and Economics  

Science Conference Proceedings (OSTI)

As utilities strive to better utilize their distribution system assets and improve energy efficiency, improved distribution modeling and better economic models can help quantify economic gains. In order to improve efficiency modeling and economic planning, research efforts in this report have concentrated on the following tasks: distribution modeling for efficiency studies, volt-var control, and development of a framework to evaluate the economic benefit of reductions in average and peak energy reduction...

2010-12-31T23:59:59.000Z

500

Wiki-based Techno Economic Analysis of a Lignocellulosic ...  

Biomass and Biofuels Wiki-based Techno Economic Analysis of a Lignocellulosic Biorefinery Lawrence Berkeley National Laboratory. Contact LBL About ...