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Note: This page contains sample records for the topic "a9 total inputs" 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

Total Blender Net Input of Petroleum Products  

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

Input Input Product: Total Input Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquid Petroleum Gases Normal Butane Isobutane Other Liquids Oxygenates/Renewables Methyl Tertiary Butyl Ether (MTBE) Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - Conventional, CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

2

Total Refinery Net Input of Crude Oil and Petroleum Products  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids Pentanes Plus Liquefied Petroleum Gases Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Alaskan Crude Oil Receipts Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

3

Table A9. Total Primary Consumption of Energy for All Purposes by Census  

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

A9. Total Primary Consumption of Energy for All Purposes by Census" A9. Total Primary Consumption of Energy for All Purposes by Census" " Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke" " "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" " ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Economic Characteristics(a)","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","(cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

4

Table A4. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 2" "...

5

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

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

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

6

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

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

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

7

Table A12. Total Inputs of Energy for Heat, Power, and Electricity...  

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

2. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical...

8

Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent Conditioned Floorspace","Total","Present","Not Present","Factors" " "," " "RSE Column Factors:",0.8,1.3,0.9 "ALL SQUARE FEET CATEGORIES" "Approximate Conditioned Floorspace"

9

Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"

10

Table A54. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 2" ,," "," ",," "," ",," "," "," "," " ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," ",," " ,," ","Computer Control","or Major",,,"One or More"," ","RSE" "SIC"," ",,"of Building","Energy-Using","Waste Heat"," Adjustable-Speed","General Technologies","None","Row"

11

Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.2,1.1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",12605,1209,3303,6386,1706,2.9

12

Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS" ,"Industry-Specific Technologies" ,"One or More Industry-Specific Technologies Present",2353,9 ," Infrared Heating",607,13 ," Microwave Drying",127,21 ," Closed-Cycle Heat Pump System Used to Recover Heat",786,19

13

Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Group and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors" ,"RSE Column Factors:",0.6,1.3,1,1,0.9,1.2,1.2

14

Table A41. Total Inputs of Energy for Heat, Power, and Electricity  

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

A41. Total Inputs of Energy for Heat, Power, and Electricity" A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",10743,1150,2819,5309,1464,2.6,,,"/WIR{D}~"

15

Table A55. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 2" ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion ","Combined-Cycle","Internal Combustion","Heat Recovered from","Cogeneration",,"RSE" "SIC"," ",,"or Fluidized","Turbines with","Combustion","Engines with","High-Temperature","Technologies","None","Row"

16

Table A52. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" 2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" " Categories and Presence of General Technologies and Cogeneration Technologies, 1994" " (Estimates in Trillion Btu)" ,,,,"Employment Size(a)" ,,,,,,,,"RSE" ,,,,,,,"1000 and","Row" "General/Cogeneration Technologies","Total","Under 50","50-99","100-249","250-499","500-999","Over","Factors" "RSE Column Factors:",0.5,2,2.1,1,0.7,0.7,0.9 "One or More General Technologies Present",14601,387,781,2054,2728,3189,5462,3.1 " Computer Control of Building Environment (b)",5079,64,116,510,802,1227,2361,5

17

Table A37. Total Inputs of Energy for Heat, Power, and Electricity  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" "Total United States" "RSE Column Factors:","NF",0.4,1.6,1.5,0.7,1,1.6,"NF" "TOTAL INPUTS",15027,2370,414,139,5506,105,1184,5309,3 "Boiler Fuel","--","W",296,40,2098,18,859,"--",3.6

18

Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:"," NF",0.5,1.3,1.4,0.8,1.2,1.2," NF" "TOTAL INPUTS",16515,2656,441,152,6141,99,1198,5828,2.7 "Indirect Uses-Boiler Fuel"," --",28,313,42,2396,15,875," --",4

19

Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

1" 1" " (Estimates in Btu or Physical Units)" ,,,,"Distillate",,,"Coal" ,,,,"Fuel Oil",,,"(excluding" ,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" ,"Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Other(d)","Row" "End-Use Categories","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","(billion cu ft)","(1000 bbls)","(1000 short tons)","(trillion Btu)","Factors" ,,,,,,,,,,, ,"Total United States"

20

Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," ","Net","Residual","Distillate"," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

Note: This page contains sample records for the topic "a9 total inputs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

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

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

,,,,,,,,"Coal" ,,,,,,,,"Coal" " Part 1",,,,,,,,"(excluding" " (Estimates in Btu or Physical Units)",,,,,"Distillate",,,"Coal Coke" ,,,,,"Fuel Oil",,,"and" ,,,"Net","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel","(billion","LPG","(1000 Short","Other","Row" "Code(a)","End-Use Categories","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","tons)","(trillion Btu)","Factors",

22

Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

1 " 1 " " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Code(a)","Industry Groups and Industry","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

23

Table A37. Total Inputs of Energy for Heat, Power, and Electricity  

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

1",,,,,,,"Coal" 1",,,,,,,"Coal" " (Estimates in Btu or Physical Units)",,,,,,,"(excluding" ,,,,"Distillate",,,"Coal Coke" ,,"Net",,"Fuel Oil",,,"and" ,,"Electricity(a)","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" ,"Total","(million","Fuel Oil","Fuel","(billion","LPG","(1000 short","Other","Row" "End-Use Categories","(trillion Btu)","kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","tons)","(trillion Btu)","Factors"

24

Total..........................................................  

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

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

25

Total..........................................................  

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

Division Total West Mountain Pacific Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

26

Total..........................................................  

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC13.7...

27

Total..........................................................  

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC12.7...

28

Total..........................................................  

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC11.7...

29

Total..........................................................  

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

Census Division Total South Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

30

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

(millions) Census Division Total West Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC14.7...

31

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

32

Total............................................................  

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

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

33

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

34

Total..........................................................................  

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

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

35

Total..........................................................................  

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

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

36

Total.........................................................................  

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

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

37

Total..........................................................................  

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

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

38

Total..........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

39

Total..........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

40

Total..........................................................................  

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

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

Note: This page contains sample records for the topic "a9 total inputs" 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

Total..........................................................  

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

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

42

Total...................................................................  

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

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

43

Total...........................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

44

Total...........................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

45

Total................................................  

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

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

46

TART input manual  

Science Conference Proceedings (OSTI)

The TART code is a Monte Carlo neutron/photon transport code that is only on the CRAY computer. All the input cards for the TART code are listed, and definitions for all input parameters are given. The execution and limitations of the code are described, and input for two sample problems are given. (WHK)

Kimlinger, J.R.; Plechaty, E.F.

1982-04-01T23:59:59.000Z

47

Wind Energy Input to the Ekman Layer  

Science Conference Proceedings (OSTI)

Wind stress energy input through the surface ageostrophic currents is studied. The surface ageostrophic velocity is calculated using the classical formula of the Ekman spiral, with the Ekman depth determined from an empirical formula. The total ...

Wei Wang; Rui Xin Huang

2004-05-01T23:59:59.000Z

48

Total Refinery Net Input of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: RBOB with Ether and RBOB ...

49

Relative Standard Errors of Intensity Estimates - Total Inputs  

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

586-0018 http:www.eia.govemeumecsmecs94eirtable02.html If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

50

Wind Energy Input to the Surface Waves  

Science Conference Proceedings (OSTI)

Wind energy input into the ocean is primarily produced through surface waves. The total rate of this energy source, integrated over the World Ocean, is estimated at 60 TW, based on empirical formulas and results from a numerical model of surface ...

Wei Wang; Rui Xin Huang

2004-05-01T23:59:59.000Z

51

Code Completion From Abbreviated Input  

E-Print Network (OSTI)

Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input - a different approach from conventional ...

Miller, Robert C.

52

SNOiioaroad A9U3N3  

Gasoline and Diesel Fuel Update (EIA)

SNOiioaroad SNOiioaroad A9U3N3 (DW96) 2020-VI3/3OQ HOW TO OBTAIN EIA PRODUCTS AND SERVICES For further information on any of the following services, or for answers to energy information questions, please contact EIA's National Energy Information Center: National Energy Information Center (NEIC) (202) 586-8800 Energy Information Administration (202) 586-0727 (fax) Forrestal Building, Room 1F-048 TTY: (202) 586-1181 Washington, DC 20585 E-mail: infoctr@eia.doe.gov Electronic Products and Services EIA's Internet Site Services offer nearly all EIA publications. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and find out about new EIA information products and services. World Wide Web: http://www.eia.doe.gov

53

national total  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA--Table Posted: December 8, ...

54

Refinery and Blender Net Inputs  

Annual Energy Outlook 2012 (EIA)

Refinery and Blender Net Inputs Crude OIl ... 14.54 15.14 15.26 15.08 14.51 15.30 15.70 14.93 14.47 15.30 15.54 14.97 15.01...

55

Total Imports  

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

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

56

Table 8. Capacity and Fresh Feed Input to Selected Downstream ...  

U.S. Energy Information Administration (EIA)

Capacity Inputs CapacityInputs Capacity Inputs Table 8. ... (EIA) Form EIA-820, "Annual Refinery Report." Inputs are from the form EIA-810, "Monthly Refinery Report."

57

DOE-2 Input File From WINDOW  

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

an EnergyPlus input file from WINDOW 5 Last update: 12232008 01:54 PM Creating an EnergyPlus Input File for One Window In the WINDOW Window Library, which defines a complete...

58

DOE-2 Input File From WINDOW  

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

a DOE2 input file from WINDOW 5 Last update: 02012008 01:19 PM Creating a DOE-2 Input File for One Window In the WINDOW Window Library, which defines a complete window including...

59

Categorical Exclusion Determinations: A9 | Department of Energy  

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

A9 A9 Categorical Exclusion Determinations: A9 Existing Regulations A9: Information gathering, analysis, and dissemination Information gathering (including, but not limited to, literature surveys, inventories, site visits, and audits), data analysis (including, but not limited to, computer modeling), document preparation (including, but not limited to, conceptual design, feasibility studies, and analytical energy supply and demand studies), and information dissemination (including, but not limited to, document publication and distribution, and classroom training and informational programs), but not including site characterization or environmental monitoring. (See also B3.1 of appendix B to this subpart.) Previous Regulations Categorical Exclusion Determinations dated before November 14th, 2011 were

60

New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 774 720 582 328 681 509 362 464 492 592 1990's 205 128 96 154 160 90 147 102 103 111 2000's 180 86 66 58 91 84 92 9 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Hampshire Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

Note: This page contains sample records for the topic "a9 total inputs" 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

Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15 13 15 11 11 9 10 21 79 154 1990's 181 154 180 4 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Washington Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

62

Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 48 106 337 1 3 11 2 1 385 315 1990's 56 49 52 78 289 194 709 172 50 64 2000's 101 118 13 42 71 154 13 54 46 47 2010's 12 20 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Minnesota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

63

District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 1 46 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas District of Columbia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition)

64

Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Maryland Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

65

Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 57 64 68 23 53 45 44 40 34 82 1990's 81 46 45 84 123 96 301 137 17 12 2000's 44 39 23 143 30 31 46 40 27 3 2010's 2 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Iowa Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

66

Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Pennsylvania Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

67

Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Missouri Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

68

Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Rhode Island Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

69

Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 57 151 84 28 121 124 248 241 292 1990's 209 185 166 199 123 130 94 14 16 12 2000's 73 51 7 14 5 0 3 2 52 2010's 732 701 660 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Georgia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

70

Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 55 135 56 20 13 12 9 0 2 18 1990's 4,410 4,262 3,665 3,597 3,032 1 1 2 0 0 2000's 6 0 0 7 17 0 W 5 2 2 2010's 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Delaware Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

71

South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Dakota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

72

Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 144 1,584 1,077 291 239 343 298 180 245 251 1990's 111 146 40 94 29 68 48 37 33 31 2000's 20 6 6 57 191 273 91 0 0 1 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Connecticut Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

73

South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Carolina Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

74

Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Tennessee Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

75

U.S. Blender Net Input  

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

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Total Input 1,184,435 1,522,193 1,850,204 2,166,784 2,331,109 2,399,318 2005-2012 Natural Gas Plant Liquids and Liquefied Refinery Gases 3,445 5,686 6,538 7,810 10,663 2008-2012 Pentanes Plus 2,012 474 1,808 1,989 2,326 4,164 2005-2012 Liquid Petroleum Gases 2,971 3,878 4,549 5,484 6,499 2008-2012 Normal Butane 2,943 2,971 3,878 4,549 5,484 6,499 2005-2012 Isobutane 2005-2006 Other Liquids 1,518,748 1,844,518 2,160,246 2,323,299 2,388,655 2008-2012 Oxygenates/Renewables 234,047 274,974 286,837 295,004 2009-2012 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 234,047 274,974 286,837 295,004 2009-2012 Fuel Ethanol 131,810 182,772 232,677 273,107 281,507 287,433 2005-2012

76

U.S. Blender Net Input  

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

Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Total Input 206,541 217,867 212,114 216,075 219,783 208,203 2005-2013 Natural Gas Plant Liquids and Liquefied Refinery Gases 891 352 376 196 383 1,397 2008-2013 Pentanes Plus 261 301 313 67 287 393 2005-2013 Liquid Petroleum Gases 630 51 63 129 96 1,004 2008-2013 Normal Butane 630 51 63 129 96 1,004 2005-2013 Isobutane 2005-2006 Other Liquids 205,650 217,515 211,738 215,879 219,400 206,806 2008-2013 Oxygenates/Renewables 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Fuel Ethanol 24,163 25,526 24,804 25,491 25,970 24,116 2005-2013

77

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

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

78

Input apparatus for dynamic signature verification systems  

DOE Patents (OSTI)

The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

EerNisse, Errol P. (Albuquerque, NM); Land, Cecil E. (Albuquerque, NM); Snelling, Jay B. (Albuquerque, NM)

1978-01-01T23:59:59.000Z

79

Categorical Exclusion Determinations: A9 | Department of Energy  

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

July 16, 2012 July 16, 2012 CX-008584: Categorical Exclusion Determination Solar Decathlon 2013 CX(s) Applied: A9, A11, B5.1 Date: 07/16/2012 Location(s): California Offices(s): Golden Field Office July 16, 2012 CX-008596: Categorical Exclusion Determination Northeast Provider of Solar Instructor Training - North CX(s) Applied: A9, A11, B5.16 Date: 07/16/2012 Location(s): Maine Offices(s): Golden Field Office July 16, 2012 CX-008432: Categorical Exclusion Determination Puerto Rico-City-Toa Baja CX(s) Applied: A9, A11, B2.5, B5.1 Date: 07/16/2012 Location(s): Puerto Rico Offices(s): Energy Efficiency and Renewable Energy July 16, 2012 CX-008500: Categorical Exclusion Determination All Electric Subsea Autonomous High Integrity Pressure Protection System CX(s) Applied: A9, A11, B3.6

80

Categorical Exclusion Determinations: A9 | Department of Energy  

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

Categorical Exclusion Determination Validation of Innovative Exploration Techniques, Pilgrim Hot Springs, Alaska CX(s) Applied: A9, B3.1, B3.7 Date: 08082011 Location(s):...

Note: This page contains sample records for the topic "a9 total inputs" 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

Categorical Exclusion Determinations: A9 | Department of Energy  

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

August 15, 2013 August 15, 2013 CX-010752: Categorical Exclusion Determination NYSolar Smart CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): New York Offices(s): Golden Field Office August 15, 2013 CX-010751: Categorical Exclusion Determination Solar Ready 2 CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Missouri Offices(s): Golden Field Office August 15, 2013 CX-010739: Categorical Exclusion Determination Golden State Solar Impact CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office August 15, 2013 CX-010749: Categorical Exclusion Determination Pilot-Scale Mixotrophic Algae Integrated Biorefinery CX(s) Applied: A9, B5.15 Date: 08/15/2013 Location(s): Illinois Offices(s): Golden Field Office August 15, 2013 CX-010748: Categorical Exclusion Determination

82

Categorical Exclusion Determinations: A9 | Department of Energy  

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

7, 2012 7, 2012 CX-007882: Categorical Exclusion Determination Wisconsin Solar Market Transformation CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Wisconsin Offices(s): Golden Field Office January 27, 2012 CX-007881: Categorical Exclusion Determination Solar Instructor Training Network - Midwest Provider CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Wisconsin Offices(s): Golden Field Office January 27, 2012 CX-007880: Categorical Exclusion Determination Evergreen State Solar Partnership CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Washington Offices(s): Golden Field Office January 27, 2012 CX-007879: Categorical Exclusion Determination Wasatch SunShot Streamlining and Simplifying Solar CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Utah Offices(s): Golden Field Office

83

Categorical Exclusion Determinations: A9 | Department of Energy  

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

November 20, 2012 November 20, 2012 CX-008578: Categorical Exclusion Determination Arkansas Energy Office State Energy Program 2012 CX(s) Applied: A9, A11 Date: *no date posted* Location(s): Arkansas Offices(s): Golden Field Office November 19, 2012 CX-009544: Categorical Exclusion Determination How Grain Boundaries Affect the Efficiency of Poly-Cadmium Telluride Solar-Cells CX(s) Applied: A9, B3.6 Date: 11/19/2012 Location(s): Illinois Offices(s): Golden Field Office November 16, 2012 CX-009521: Categorical Exclusion Determination Florida-City-Hialeah CX(s) Applied: A9, A11, B5.1 Date: 11/16/2012 Location(s): Florida Offices(s): Energy Efficiency and Renewable Energy November 15, 2012 CX-009522: Categorical Exclusion Determination Nevada-City-North Las Vegas CX(s) Applied: A1, A9, B1.32, B2.5, B5.1

84

Categorical Exclusion Determinations: A9 | Department of Energy  

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

June 13, 2012 June 13, 2012 CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06/13/2012 Location(s): New York Offices(s): Golden Field Office June 13, 2012 CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06/13/2012 Location(s): New York Offices(s): Golden Field Office June 12, 2012 CX-008541: Categorical Exclusion Determination High Efficiency Structural Flowthrough Rotor With Active Flap Control CX(s) Applied: A9 Date: 06/12/2012 Location(s): California Offices(s): Golden Field Office June 12, 2012 CX-008469: Categorical Exclusion Determination Ultra-Deepwater Riser Concepts for High Motion Vessels CX(s) Applied: A9

85

Categorical Exclusion Determinations: A9 | Department of Energy  

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

27, 2012 27, 2012 CX-008982: Categorical Exclusion Determination "Sacrificial Protective Coating Materials Regenerated In-Situ to Enable High Performance Membranes CX(s) Applied: A9, B3.6 Date: 08/27/2012 Location(s): California Offices(s): Golden Field Office" August 24, 2012 CX-008921: Categorical Exclusion Determination West Virginia Super Circuit CX(s) Applied: A9 Date: 08/24/2012 Location(s): North Carolina Offices(s): National Energy Technology Laboratory August 24, 2012 CX-008920: Categorical Exclusion Determination West Virginia Super Circuit CX(s) Applied: A9 Date: 08/24/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory August 23, 2012 CX-009018: Categorical Exclusion Determination State Energy Program - Tennessee CX(s) Applied: A9, A11

86

Categorical Exclusion Determinations: A9 | Department of Energy  

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

25, 2012 25, 2012 CX-008561: Categorical Exclusion Determination Nevada Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Nevada Offices(s): Golden Field Office June 25, 2012 CX-008543: Categorical Exclusion Determination Colorado State Energy Plan 2012 CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Colorado Offices(s): Golden Field Office June 25, 2012 CX-008559: Categorical Exclusion Determination New Hampshire Formula Grant for State Energy Program CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): New Hampshire Offices(s): Golden Field Office June 25, 2012 CX-008538: Categorical Exclusion Determination Program Year 2012 State Energy Program Formula Grant CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Arizona

87

Categorical Exclusion Determinations: A9 | Department of Energy  

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

22, 2012 22, 2012 CX-008999: Categorical Exclusion Determination Program Year 2012 Formula Grants CX(s) Applied: A9, A11 Date: 08/22/2012 Location(s): Missouri Offices(s): Golden Field Office August 22, 2012 CX-009010: Categorical Exclusion Determination Advancing Energy Efficiency in the Northwest CX(s) Applied: A9, A11 Date: 08/22/2012 Location(s): Oregon Offices(s): Golden Field Office August 22, 2012 CX-009029: Categorical Exclusion Determination West Virginia State Formula Grant - Fiscal Year 2012 CX(s) Applied: A9, A11 Date: 08/22/2012 Location(s): West Virginia Offices(s): Golden Field Office August 22, 2012 CX-008994: Categorical Exclusion Determination Achieving Regional Energy Efficiency Potential in the Northeast CX(s) Applied: A9, A11 Date: 08/22/2012 Location(s): Massachusetts

88

Categorical Exclusion Determinations: A9 | Department of Energy  

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

Market Title E: Renewable Energy and Energy Efficiency Revolving Loan Program and Market Title B: Energy Efficiency and Renewable Energy for Schools CX(s) Applied: A9, A11,...

89

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2012 CX-008957: Categorical Exclusion Determination National Academy of Sciences Study on Market Barriers to Electric Vehicles CX(s) Applied: A9, A11 Date: 08082012 Location(s):...

90

Categorical Exclusion Determinations: A9 | Department of Energy  

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

December 22, 2009 CX-000143: Categorical Exclusion Determination King Island Native Community Energy Audits CX(s) Applied: B5.1, A9 Date: 12222009 Location(s): King Island,...

91

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-003770: Categorical Exclusion Determination Maine-County-York CX(s) Applied: A1, A9, A11, B2.5, B5.1 Date: 09/09/2010 Location(s): York County, Maine Office(s): Energy Efficiency and Renewable Energy September 9, 2010 CX-003765: Categorical Exclusion Determination Idaho-Tribe-Nez Perce Tribe CX(s) Applied: A9, A11, B2.5, B5.1 Date: 09/09/2010 Location(s): Idaho Office(s): Energy Efficiency and Renewable Energy September 9, 2010 CX-003725: Categorical Exclusion Determination Solar Hot Water Project in Greenburgh, New York CX(s) Applied: A9 Date: 09/09/2010 Location(s): Greenburgh, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office September 9, 2010 CX-003719: Categorical Exclusion Determination Pecos Valley Biomass CX(s) Applied: A9

92

Deriving input syntactic structure from execution  

Science Conference Proceedings (OSTI)

Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important information is often not available (e.g., most malware programs make use of ... Keywords: bottom-up grammar, control dependence, input lineage, reverse engineering, syntax tree, top-down grammar

Zhiqiang Lin; Xiangyu Zhang

2008-11-01T23:59:59.000Z

93

U.S. Weekly Inputs & Utilization  

U.S. Energy Information Administration (EIA)

Crude Oil Inputs: 16,237: 16,031: 15,965: 15,893: 15,611: 15,845: 1982-2013: Gross Inputs: 16,539: 16,448: 16,257: 16,200: 15,927: 16,209: 1990-2013: Operable ...

94

Designating required vs. optional input fields  

Science Conference Proceedings (OSTI)

This paper describes a study comparing different techniques for visually distingishing required from optional input fields in a form-filling application. Seven techniques were studied: no indication, bold field labels, chevrons in front of the labels, ... Keywords: data input, optional fields, required fields, visual design

Thomas S. Tullis; Ana Pons

1997-03-01T23:59:59.000Z

95

Categorical Exclusion Determinations: A9 | Department of Energy  

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

3, 2010 3, 2010 CX-002224: Categorical Exclusion Determination Biddeford Energy Efficiency Retrofits CX(s) Applied: A9, B5.1 Date: 05/03/2010 Location(s): Biddeford, Maine Office(s): Energy Efficiency and Renewable Energy May 3, 2010 CX-002169: Categorical Exclusion Determination State of Indiana/Central Indiana Clean Cities Alternative Fuels Implementation Plan CX(s) Applied: B3.6, A1, A9, B5.1 Date: 05/03/2010 Location(s): Indiana Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory April 30, 2010 CX-002189: Categorical Exclusion Determination Cedar Hill's Preliminary "City Center" Transit Oriented Development Study CX(s) Applied: A9, A11, B5.1 Date: 04/30/2010 Location(s): Cedar Hill, Texas Office(s): Energy Efficiency and Renewable Energy

96

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-002218: Categorical Exclusion Determination St. Landry's Energy Retrofits CX(s) Applied: A9, A11, B2.5, B5.1 Date: 05/11/2010 Location(s): St. Landry Parish, Louisiana Office(s): Energy Efficiency and Renewable Energy May 11, 2010 CX-002216: Categorical Exclusion Determination Tuolumne Band of MeWuk Indians Propose to Reduce Fossil Fuel Emissions CX(s) Applied: A9, B5.1 Date: 05/11/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy May 11, 2010 CX-002364: Categorical Exclusion Determination Development of a Geological and Geomechanical Framework for the Analysis of Micro-Earthquakes in Enhanced Geothermal System Experiments CX(s) Applied: B3.6, A9 Date: 05/11/2010 Location(s): Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

97

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-002423: Categorical Exclusion Determination Energy Retrofits for State Correctional Facilities - Draper Correctional Boiler CX(s) Applied: B1.24, B1.31, B2.2, A9, B5.1 Date: 05/19/2010 Location(s): Elmore, Alabama Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory May 19, 2010 CX-002421: Categorical Exclusion Determination Energy Retrofits for State Correctional Facilities - Ozone Laundry Process CX(s) Applied: B1.31, A9, B5.1 Date: 05/19/2010 Location(s): Alabama Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory May 19, 2010 CX-002549: Categorical Exclusion Determination Technical Analysis for Geothermal System CX(s) Applied: B3.1, A9 Date: 05/19/2010 Location(s): South Dakota

98

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-006424: Categorical Exclusion Determination North Carolina-County-Randolph CX(s) Applied: A9, A11, B2.5, B5.1 Date: 03/11/2010 Location(s): Randolph County, North Carolina Office(s): Energy Efficiency and Renewable Energy March 11, 2010 CX-006099: Categorical Exclusion Determination California-City-Pomona CX(s) Applied: A9, A11, B1.32, B5.1 Date: 03/11/2010 Location(s): Pomona, California Office(s): Energy Efficiency and Renewable Energy March 11, 2010 CX-001141: Categorical Exclusion Determination Biofuels Retail Availability Improvement Network (BRAIN) CX(s) Applied: A1, A9, B3.6, B5.1 Date: 03/11/2010 Location(s): Baldwin, Wisconsin Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory March 11, 2010 CX-001146: Categorical Exclusion Determination

99

Categorical Exclusion Determinations: A9 | Department of Energy  

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

28, 2011 28, 2011 CX-006160: Categorical Exclusion Determination Pumpernickel Valley: Sub-soil Gas and Fluid Inclusion Exploration and Slim Well Drilling CX(s) Applied: A9, B3.1, B3.6 Date: 06/28/2011 Location(s): Pumpernickel Valley, Nevada Office(s): Energy Efficiency and Renewable Energy, Golden Field Office June 28, 2011 CX-006094: Categorical Exclusion Determination University of New Hampshire Center for Ocean Renewable Energy Infrastructure CX(s) Applied: A9, B3.1, B3.6 Date: 06/28/2011 Location(s): New Hampshire Office(s): Energy Efficiency and Renewable Energy, Golden Field Office June 28, 2011 CX-006075: Categorical Exclusion Determination Integrated Renewable Energy and Campus Sustainability Initiative CX(s) Applied: A9, B3.6, B5.1 Date: 06/28/2011 Location(s): Luther College, Colorado

100

Categorical Exclusion Determinations: A9 | Department of Energy  

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

June 8, 2013 June 8, 2013 CX-010456: Categorical Exclusion Determination Trident: A Human Factors Decision Aid Integrating Deepwater Drilling Tasks, Incidents, and Literature CX(s) Applied: A9, A11 Date: 06/08/2013 Location(s): California Offices(s): National Energy Technology Laboratory June 8, 2013 CX-010454: Categorical Exclusion Determination Trident: A Human Factors Decision Aid Integrating Deepwater Drilling Tasks, Incidents, and Literature CX(s) Applied: A9, A11 Date: 06/08/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory June 3, 2013 CX-010507: Categorical Exclusion Determination Development and Demonstration of Smart Grid Inverters for High-Penetration Photovoltaic Applications CX(s) Applied: A9, B3.6, B5.16 Date: 06/03/2013 Location(s): Hawaii

Note: This page contains sample records for the topic "a9 total inputs" 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

Categorical Exclusion Determinations: A9 | Department of Energy  

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

17, 2010 17, 2010 CX-002777: Categorical Exclusion Determination Georgia-City-Unified Government of Athens-Clarke CX(s) Applied: B1.32, B2.5, A9, A11, B5.1 Date: 06/17/2010 Location(s): Athens, Georgia Office(s): Energy Efficiency and Renewable Energy June 17, 2010 CX-002764: Categorical Exclusion Determination Arkansas-City-Fayetteville CX(s) Applied: B2.5, A1, A9, A11, B5.1 Date: 06/17/2010 Location(s): Fayetteville, Arkansas Office(s): Energy Efficiency and Renewable Energy June 17, 2010 CX-002743: Categorical Exclusion Determination Ab-Initio Modeling of Thermomechanical Properties of Molybdenum-Based Composite Alloys CX(s) Applied: B3.6, A9 Date: 06/17/2010 Location(s): Kansas City, Missouri Office(s): Fossil Energy, National Energy Technology Laboratory June 17, 2010

102

Categorical Exclusion Determinations: A9 | Department of Energy  

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

26, 2010 26, 2010 CX-003249: Categorical Exclusion Determination California-Tribe-San Pasqual Band of Mission Indians CX(s) Applied: A9, A11, B5.1 Date: 07/26/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy July 26, 2010 CX-003221: Categorical Exclusion Determination Geothermal Energy Project CX(s) Applied: A9, B3.1 Date: 07/26/2010 Location(s): New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office July 26, 2010 CX-003214: Categorical Exclusion Determination Creighton University Training and Research in Solar Power CX(s) Applied: A9, B3.6, B5.1 Date: 07/26/2010 Location(s): Nebraska Office(s): Energy Efficiency and Renewable Energy, Golden Field Office July 26, 2010 CX-003168: Categorical Exclusion Determination Clean Energy Economic Development Initiative - Chesapeake Renewable Energy

103

Categorical Exclusion Determinations: A9 | Department of Energy  

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

May 14, 2013 May 14, 2013 CX-010281: Categorical Exclusion Determination Low Temperature Nitrous Oxide Storage and Reduction Using Engineered Materials CX(s) Applied: A9, B3.6 Date: 05/14/2013 Location(s): Kentucky Offices(s): National Energy Technology Laboratory May 13, 2013 CX-010265: Categorical Exclusion Determination Validation Data for Light-Duty Fuel Cell Electric Vehicles CX(s) Applied: A9 Date: 05/13/2013 Location(s): California Offices(s): Golden Field Office May 10, 2013 CX-010285: Categorical Exclusion Determination Advancing Low Temperature Combustion and Lean Burning Engines for Light-and Heavy-Duty Vehicles CX(s) Applied: A9, B3.6 Date: 05/10/2013 Location(s): CX: none Offices(s): National Energy Technology Laboratory May 9, 2013 CX-010268: Categorical Exclusion Determination

104

Categorical Exclusion Determinations: A9 | Department of Energy  

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

0, 2009 0, 2009 CX-000351: Categorical Exclusion Determination Texas Propane Fleet Pilot Program CX(s) Applied: A1, A9 Date: 12/10/2009 Location(s): Austin, Texas Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory December 10, 2009 CX-000350: Categorical Exclusion Determination Puget Sound Clean Cities Petroleum Reduction Project CX(s) Applied: A1, A9, B5.1 Date: 12/10/2009 Location(s): Snohomish County, Washington Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory December 10, 2009 CX-000349: Categorical Exclusion Determination Puget Sound Clean Cities Petroleum Reduction Project CX(s) Applied: A1, A9, B5.1 Date: 12/10/2009 Location(s): Everett, Washington Office(s): Energy Efficiency and Renewable Energy, National Energy

105

Categorical Exclusion Determinations: A9 | Department of Energy  

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

30, 2011 30, 2011 CX-005540: Categorical Exclusion Determination Wave Energy Technology-New Zealand Multi-Mode Wave Energy Converter Advancement Project CX(s) Applied: A9, B3.6 Date: 03/30/2011 Location(s): Portland, Oregon Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 30, 2011 CX-005524: Categorical Exclusion Determination Massachusetts Institute of Technology Clean Energy Prize CX(s) Applied: A9 Date: 03/30/2011 Location(s): Massachusetts Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 29, 2011 CX-005480: Categorical Exclusion Determination Rhode Island Non-Utility Scale Renewable Energy Program CX(s) Applied: A9, B5.1 Date: 03/29/2011 Location(s): Warwick, Rhode Island Office(s): Energy Efficiency and Renewable Energy, National Energy

106

Categorical Exclusion Determinations: A9 | Department of Energy  

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

20, 2010 20, 2010 CX-004786: Categorical Exclusion Determination North Dakota-Tribe-Turtle Mountain Band of Chippewa CX(s) Applied: A9, A11, B2.5, B5.1 Date: 12/20/2010 Location(s): Turtle Mountain, North Dakota Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004784: Categorical Exclusion Determination Kansas-County-Leavenworth CX(s) Applied: A9, B2.5, B5.1 Date: 12/20/2010 Location(s): Leavenworth County, Kansas Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004782: Categorical Exclusion Determination Arizona-County-Yuma CX(s) Applied: A9, B5.1 Date: 12/20/2010 Location(s): Yuma County, Arizona Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004781: Categorical Exclusion Determination Alaska-Tribe-Village of Wainwright

107

Categorical Exclusion Determinations: A9 | Department of Energy  

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

4, 2011 4, 2011 CX-004857: Categorical Exclusion Determination Building Operations Certification License CX(s) Applied: A9, A11, B5.1 Date: 01/04/2011 Location(s): Kansas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 4, 2011 CX-004854: Categorical Exclusion Determination Missouri-City-St. Peters CX(s) Applied: A1, A9, B2.5, B5.1 Date: 01/04/2011 Location(s): St. Peters, Missouri Office(s): Energy Efficiency and Renewable Energy January 3, 2011 CX-004853: Categorical Exclusion Determination Louisiana-County-St. Landry CX(s) Applied: A9, A11, B2.5, B5.1 Date: 01/03/2011 Location(s): St. Landry Parish, Louisiana Office(s): Energy Efficiency and Renewable Energy December 30, 2010 CX-004966: Categorical Exclusion Determination Catalytic Transformation of Waste Carbon Dioxide into Valuable Materials

108

Categorical Exclusion Determinations: A9 | Department of Energy  

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

30, 2010 30, 2010 CX-004632: Categorical Exclusion Determination California- City- Visalia CX(s) Applied: A9, B1.32, B5.1 Date: 11/30/2010 Location(s): Visalia, California Office(s): Energy Efficiency and Renewable Energy November 30, 2010 CX-004630: Categorical Exclusion Determination California- City- Tulare CX(s) Applied: A1, A9, A11, B5.1 Date: 11/30/2010 Location(s): Tulare, California Office(s): Energy Efficiency and Renewable Energy November 30, 2010 CX-004548: Categorical Exclusion Determination Active Flow Control on Bidirectional Rotors for Tidal Marine Hydrokinetic Applications CX(s) Applied: A9 Date: 11/30/2010 Location(s): Davis, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 30, 2010 CX-004582: Categorical Exclusion Determination

109

Categorical Exclusion Determinations: A9 | Department of Energy  

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

April 11, 2012 April 11, 2012 CX-008227: Categorical Exclusion Determination Recovery Act: Innovative Exploration Techniques for Geothermal Assessment at Jemez Pueblo, New Mexico CX(s) Applied: A9 Date: 04/11/2012 Location(s): New Mexico Offices(s): Golden Field Office April 11, 2012 CX-008226: Categorical Exclusion Determination Catalytic Upgrading of Thermochemical Intermediates to Hydrocarbons CX(s) Applied: A9, B3.6 Date: 04/11/2012 Location(s): Massachusetts Offices(s): Golden Field Office April 11, 2012 CX-008212: Categorical Exclusion Determination Development of Project on North Unit Irrigation District's Main Canal at Monroe Drop CX(s) Applied: A9 Date: 04/11/2012 Location(s): Oregon Offices(s): Golden Field Office April 10, 2012 CX-008187: Categorical Exclusion Determination

110

Categorical Exclusion Determinations: A9 | Department of Energy  

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

6, 2010 6, 2010 CX-001698: Categorical Exclusion Determination Recovery Act, County of Monterey, California Energy Efficiency and Conservation Block Grant CX(s) Applied: A9, A11, B5.1 Date: 04/16/2010 Location(s): Monterey County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 16, 2010 CX-001695: Categorical Exclusion Determination Towards the Understanding of Induced Seismicity in Enhanced Geothermal Systems CX(s) Applied: A9 Date: 04/16/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 16, 2010 CX-001694: Categorical Exclusion Determination State Geological Survey Contributions to the National Geothermal Data System CX(s) Applied: A9 Date: 04/16/2010 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

111

Categorical Exclusion Determinations: A9 | Department of Energy  

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

, 2010 , 2010 CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date: 11/01/2010 Location(s): Reno, Nevada Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 1, 2010 CX-004369: Categorical Exclusion Determination Validation of Coupled Models and Optimization of Materials for Offshore Wind Structures CX(s) Applied: A9, B3.1, B3.6 Date: 11/01/2010 Location(s): Maine Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 1, 2010 CX-004362: Categorical Exclusion Determination Wisconsin-City-West Allis CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 11/01/2010 Location(s): West Allis, Wisconsin Office(s): Energy Efficiency and Renewable Energy

112

Categorical Exclusion Determinations: A9 | Department of Energy  

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

30, 2010 30, 2010 CX-004112: Categorical Exclusion Determination Experimental/Modeling Approaches to Studying the Fracture-Matrix Interaction in Barnett Shale CX(s) Applied: A9, B3.6 Date: 09/30/2010 Location(s): Arlington, Texas Office(s): Fossil Energy, National Energy Technology Laboratory September 30, 2010 CX-004111: Categorical Exclusion Determination Experimental/Modeling Approaches to Studying the Fracture-Matrix Interaction in Barnett Shale CX(s) Applied: A9 Date: 09/30/2010 Location(s): Ames, Iowa Office(s): Fossil Energy, National Energy Technology Laboratory September 30, 2010 CX-004110: Categorical Exclusion Determination New Rochelle Energy Efficient Upgrades CX(s) Applied: A9, B1.24, B2.2, B5.1 Date: 09/30/2010 Location(s): New Rochelle, New York Office(s): Energy Efficiency and Renewable Energy, National Energy

113

Categorical Exclusion Determinations: A9 | Department of Energy  

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

7, 2012 7, 2012 CX-009133: Categorical Exclusion Determination New York Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date: 08/07/2012 Location(s): New York Offices(s): Golden Field Office August 7, 2012 CX-009126: Categorical Exclusion Determination Connecticut State Energy Program Annual Program Year 2012 CX(s) Applied: A9, A11 Date: 08/07/2012 Location(s): Connecticut Offices(s): Golden Field Office August 6, 2012 CX-008829: Categorical Exclusion Determination Proliferation Detection Research for Discovery and Development of Process for Deposition of Pure, Stoichiometric and Conformal Films of Magnesium Diboride at Harvard University CX(s) Applied: A9, A11, B3.6 Date: 08/06/2012 Location(s): Massachusetts Offices(s): NNSA-Defense Science University Programs

114

Categorical Exclusion Determinations: A9 | Department of Energy  

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

4, 2010 4, 2010 CX-001210: Categorical Exclusion Determination Recovery Act: Carbon Dioxide Reuse in Petrochemical Facilities CX(s) Applied: A9, A11, B3.6 Date: 03/24/2010 Location(s): Durham, North Carolina Office(s): Fossil Energy, National Energy Technology Laboratory March 24, 2010 CX-001206: Categorical Exclusion Determination Tehachapi Wind Energy Storage CX(s) Applied: A9, B1.13, B3.6, B4.4, B4.6, B5.1 Date: 03/24/2010 Location(s): Kern County, California Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory March 23, 2010 CX-006917: Categorical Exclusion Determination Energy Efficiency and Conservation Strategy, Heating Ventilation and Air Conditioning and Lighting Retrofits CX(s) Applied: A9, A11, B2.5, B5.1 Date: 03/23/2010

115

Categorical Exclusion Determinations: A9 | Department of Energy  

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

0, 2010 0, 2010 CX-001458: Categorical Exclusion Determination Cooperation on Electric Resource Planning and Priorities - Topic B CX(s) Applied: A9, A11 Date: 03/30/2010 Location(s): Austin, Texas Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory March 30, 2010 CX-001457: Categorical Exclusion Determination Interconnection-Level Analysis and Planning for Texas Interconnect- Topic A CX(s) Applied: A9, A11 Date: 03/30/2010 Location(s): Austin, Texas Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory March 30, 2010 CX-006983: Categorical Exclusion Determination Energy Efficiency and Conservation Strategy and Audits, Retrofit Program CX(s) Applied: A9, A11, B2.5, B5.1 Date: 03/30/2010 Location(s): Livonia, Michigan

116

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1760: Categorical Exclusion Determination 1760: Categorical Exclusion Determination California-City-Montebello Energy Efficiency and Conservation Strategy Project CX(s) Applied: A9, A11, B2.5, B5.1 Date: 04/20/2010 Location(s): Montebello City, California Office(s): Energy Efficiency and Renewable Energy April 20, 2010 CX-002066: Categorical Exclusion Determination Neighborhood Energy Efficiency Program CX(s) Applied: A1, A9, B5.1 Date: 04/20/2010 Location(s): Silver City, New Mexico Office(s): Energy Efficiency and Renewable Energy April 19, 2010 CX-001714: Categorical Exclusion Determination Vehicle Test Location at Bone Yard; National Renewable Energy Laboratory (NREL) Tracking Number 09-024 CX(s) Applied: B3.6, A9 Date: 04/19/2010 Location(s): Golden, Colorado Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

117

Categorical Exclusion Determinations: A9 | Department of Energy  

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

3, 2009 3, 2009 CX-000388: Categorical Exclusion Determination Sandia Technologies LLC CX(s) Applied: A1, A9 Date: 11/13/2009 Location(s): Houston, Texas Office(s): Fossil Energy, National Energy Technology Laboratory November 13, 2009 CX-000387: Categorical Exclusion Determination Lawrence Livermore National Laboratory - Alameda, California CX(s) Applied: A1, A9 Date: 11/13/2009 Location(s): Livermore, California Office(s): Fossil Energy, National Energy Technology Laboratory November 13, 2009 CX-000386: Categorical Exclusion Determination Lawrence Berkeley National Laboratory - Alameda, California CX(s) Applied: A1, A9 Date: 11/13/2009 Location(s): Berkley, California Office(s): Fossil Energy, National Energy Technology Laboratory November 13, 2009 CX-000384: Categorical Exclusion Determination

118

Categorical Exclusion Determinations: A9 | Department of Energy  

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

14, 2010 14, 2010 CX-004708: Categorical Exclusion Determination Pilot-Scale Mercury Testing for Advanced Fuel Research, Incorporated CX(s) Applied: A9, B3.6 Date: 12/14/2010 Location(s): Grand Forks, North Dakota Office(s): Fossil Energy, National Energy Technology Laboratory December 14, 2010 CX-004701: Categorical Exclusion Determination Actualistic and Geomechanical Modeling of Reservoir Rock, Carbon Dioxide, and Formation Flue Interaction CX(s) Applied: A9, B3.1, B3.6 Date: 12/14/2010 Location(s): Morgantown, West Virginia Office(s): Fossil Energy, National Energy Technology Laboratory December 14, 2010 CX-004699: Categorical Exclusion Determination State Energy Program - Distributed Energy Leadership Program CX(s) Applied: A9, A11, B5.1 Date: 12/14/2010 Location(s): Arizona

119

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2, 2011 2, 2011 CX-005748: Categorical Exclusion Determination New Reactor Technology for Hydro processing Bio-oils to Produce Gasoline, Diesel and Jet Fuel CX(s) Applied: A9, B3.6 Date: 05/02/2011 Location(s): Maryland Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2011 CX-005659: Categorical Exclusion Determination Commercial Renewable Energy Systems CX(s) Applied: A1, A9, B5.1 Date: 04/28/2011 Location(s): Concord, North Carolina Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory April 28, 2011 CX-005660: Categorical Exclusion Determination Commercial Renewable Energy Systems - Myers Park Baptist Church Solar Photovoltaic CX(s) Applied: A1, A9, B5.1 Date: 04/28/2011 Location(s): Charlotte, North Carolina

120

Categorical Exclusion Determinations: A9 | Department of Energy  

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

21, 2010 21, 2010 CX-004764: Categorical Exclusion Determination State Energy Program: Energy Retrofits - Grants/Loans/Rebates/Audits CX(s) Applied: A9, A11, B5.1 Date: 12/21/2010 Location(s): Maine Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory December 20, 2010 CX-004792: Categorical Exclusion Determination Cycloidal Wave Energy Converter CX(s) Applied: A9, B3.6 Date: 12/20/2010 Location(s): Colorado Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 20, 2010 CX-004789: Categorical Exclusion Determination Wisconsin-City-West Allis CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 12/20/2010 Location(s): West Allis, Wisconsin Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004788: Categorical Exclusion Determination

Note: This page contains sample records for the topic "a9 total inputs" from the National Library of EnergyBeta (NLEBeta).
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121

Categorical Exclusion Determinations: A9 | Department of Energy  

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

4, 2011 4, 2011 CX-005560: Categorical Exclusion Determination Massachusetts-City-Worcester CX(s) Applied: A1, A9, B2.5, B5.1 Date: 04/04/2011 Location(s): Worchester, Massachusetts Office(s): Energy Efficiency and Renewable Energy April 1, 2011 CX-005557: Categorical Exclusion Determination Illinois-City-Hoffman Estates, Village of CX(s) Applied: A1, A9, B1.32, B2.5, B3.6, B5.1 Date: 04/01/2011 Location(s): Hoffman Estates, Illinois Office(s): Energy Efficiency and Renewable Energy April 1, 2011 CX-005553: Categorical Exclusion Determination Connecticut-City-Danbury CX(s) Applied: A9, A11, B2.5, B5.1 Date: 04/01/2011 Location(s): Danbury, Connecticut Office(s): Energy Efficiency and Renewable Energy April 1, 2011 CX-005515: Categorical Exclusion Determination Connecticut-City-Bristol

122

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-000661: Categorical Exclusion Determination Southern Mid-Atlantic Provider of Solar Instructor Training CX(s) Applied: A9, A11, B5.1 Date: 02/09/2010 Location(s): North Carolina Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 9, 2010 CX-000663: Categorical Exclusion Determination Microhole Arrays Drilled With Advanced Abrasive Slurry Jet Technology To Efficiently Exploit Enhanced Geothermal Systems CX(s) Applied: A9, B3.1, B3.6 Date: 02/09/2010 Location(s): Tulsa, Oklahoma Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 9, 2010 CX-000756: Categorical Exclusion Determination Power Management Unit Installation at Substation CX(s) Applied: A9, B1.7, B4.6 Date: 02/09/2010 Location(s): Caroline County, Virginia

123

Categorical Exclusion Determinations: A9 | Department of Energy  

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

November 2, 2009 November 2, 2009 CX-004585: Categorical Exclusion Determination North Fork Rancheria of Mono Indians of California Commercial and Residential Building Energy Audits CX(s) Applied: A9, A11, B5.1 Date: 11/02/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000174: Categorical Exclusion Determination Pennsylvania County Lancaster CX(s) Applied: A9, A11, B5.1 Date: 11/02/2009 Location(s): Lancaster County, Pennsylvania Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 2, 2009 CX-000173: Categorical Exclusion Determination New Mexico City Albuquerque CX(s) Applied: A9, B5.1 Date: 11/02/2009 Location(s): Albuquerque, New Mexico Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

124

Categorical Exclusion Determinations: A9 | Department of Energy  

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

November 2, 2012 November 2, 2012 CX-009451: Categorical Exclusion Determination Educational Outreach: Energy Conservation and Materials Properties CX(s) Applied: A9, A11 Date: 11/02/2012 Location(s): Oregon Offices(s): National Energy Technology Laboratory November 2, 2012 CX-009450: Categorical Exclusion Determination Research and Development of Coaxial Cable Sensors for Use in Subsurface Environments CX(s) Applied: A9, B3.6 Date: 11/02/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory November 1, 2012 CX-009456: Categorical Exclusion Determination Development and Test of a 1,000 Level 3C Fiber Optic Borehole Seismic Receiver Array Applied to Carbon CX(s) Applied: A9, B3.1 Date: 11/01/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory

125

Categorical Exclusion Determinations: A9 | Department of Energy  

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

14, 2011 14, 2011 CX-005027: Categorical Exclusion Determination California-Tribe-Santa Rosa Rancheria of Tachi-Yokut Indians CX(s) Applied: A9, A11, B5.1 Date: 01/14/2011 Location(s): California Office(s): Energy Efficiency and Renewable Energy January 13, 2011 CX-005016: Categorical Exclusion Determination A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits to Utility CX(s) Applied: A9, B3.1 Date: 01/13/2011 Location(s): Saint Paul, Minnesota Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 13, 2011 CX-005011: Categorical Exclusion Determination Modeling the Physical and Biochemical Influence of Ocean Thermal Energy Conversion Plant Discharges into their Adjacent Waters CX(s) Applied: A9, A11

126

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2, 2010 2, 2010 CX-002064: Categorical Exclusion Determination Plainfield's Energy Efficiency and Conservation Strategy CX(s) Applied: B5.1, A9, A11 Date: 04/22/2010 Location(s): Plainfield, New Jersey Office(s): Energy Efficiency and Renewable Energy April 22, 2010 CX-002062: Categorical Exclusion Determination Plainfield's Assessments and Retrofits CX(s) Applied: B2.5, A9, A11, B5.1 Date: 04/22/2010 Location(s): Plainfield, New Jersey Office(s): Energy Efficiency and Renewable Energy April 22, 2010 CX-002055: Categorical Exclusion Determination Atlantic City Energy Efficiency Retrofits CX(s) Applied: B5.1, A9 Date: 04/22/2010 Location(s): Atlantic City, New Jersey Office(s): Energy Efficiency and Renewable Energy April 22, 2010 CX-002049: Categorical Exclusion Determination

127

Categorical Exclusion Determinations: A9 | Department of Energy  

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

3, 2010 3, 2010 CX-004592: Categorical Exclusion Determination Re-Utilization of Industrial Carbon Dioxide for Algae Production Using a Phase Change Material CX(s) Applied: A9, A11, B3.6 Date: 11/23/2010 Location(s): Wooster, Ohio Office(s): Fossil Energy, National Energy Technology Laboratory November 23, 2010 CX-004591: Categorical Exclusion Determination Re-Utilization of Industrial Carbon Dioxide for Algae Production Using a Phase Change Material CX(s) Applied: A1, A9, A11 Date: 11/23/2010 Location(s): Wooster, Ohio Office(s): Fossil Energy, National Energy Technology Laboratory November 23, 2010 CX-004590: Categorical Exclusion Determination Re-Utilization of Industrial Carbon Dioxide for Algae Production Using a Phase Change Material CX(s) Applied: A9, A11, B3.6 Date: 11/23/2010

128

Categorical Exclusion Determinations: A9 | Department of Energy  

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

5, 2009 5, 2009 CX-000287: Categorical Exclusion Determination Rotating Electrical Products Production - Phase I CX(s) Applied: A9, B5.1, B1.31 Date: 12/15/2009 Location(s): Anderson, Indiana Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory December 15, 2009 CX-000286: Categorical Exclusion Determination Engineer, Assemble, and Test Electrified Vehicle Drive Electronics CX(s) Applied: A9, B3.6, B5.1, B1.31 Date: 12/15/2009 Location(s): Fargo, North Dakota Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory December 15, 2009 CX-000236: Categorical Exclusion Determination The Program of Excellence in Natural Rubber Alternatives CX(s) Applied: A9, B3.6 Date: 12/15/2009 Location(s): Wooster, Ohio Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

129

Categorical Exclusion Determinations: A9 | Department of Energy  

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

, 2013 , 2013 CX-008945: Categorical Exclusion Determination Simplified Predictive Models for Carbon Dioxide Sequestration Performance Assessment CX(s) Applied: A9 Date: 08/15/2012 Location(s): Ohio, California Offices(s): National Energy Technology Laboratory December 26, 2012 CX-009562: Categorical Exclusion Determination Certifying the Performance of Small Wind Turbines CX(s) Applied: A9, A11 Date: 12/26/2012 Location(s): Colorado Offices(s): Golden Field Office December 20, 2012 CX-009586: Categorical Exclusion Determination AMP! Advanced Manufacturing and Prototyping Center of East Tennessee CX(s) Applied: A9, A11, B3.6 Date: 12/20/2012 Location(s): Tennessee Offices(s): Golden Field Office December 19, 2012 CX-009582: Categorical Exclusion Determination Direct Drive Wave Energy Buoy

130

Categorical Exclusion Determinations: A9 | Department of Energy  

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

6, 2011 6, 2011 CX-005956: Categorical Exclusion Determination Development of a Practical Hydrogen Storage System Based on Liquid Organic Hydrogen Carriers and a Homogenous Catalyst CX(s) Applied: A9, B3.6 Date: 06/06/2011 Location(s): Hawaii Office(s): Energy Efficiency and Renewable Energy, Golden Field Office June 4, 2011 CX-005945: Categorical Exclusion Determination Combining Space Geodesy, Seismology, and Geochemistry for Monitoring Verification and Accounting of Carbon Dioxide CX(s) Applied: A1, A9, B3.6 Date: 06/04/2011 Location(s): Tampa, Florida Office(s): Fossil Energy, National Energy Technology Laboratory June 4, 2011 CX-005941: Categorical Exclusion Determination Laboratory Activities-University of Utah (Recipient) CX(s) Applied: A9, B3.6 Date: 06/04/2011

131

Categorical Exclusion Determinations: A9 | Department of Energy  

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

13, 2010 13, 2010 CX-000728: Categorical Exclusion Determination A Novel Integrated Oxy-Combustion Flue Gas Purification Technology: A Near-Zero Emissions Pathway CX(s) Applied: A9 Date: 01/13/2010 Location(s): Perryville, New Jersey Office(s): Fossil Energy, National Energy Technology Laboratory January 13, 2010 CX-000729: Categorical Exclusion Determination A Novel Integrated Oxy-Combustion Flue Gas Purification Technology: A Near-Zero Emissions Pathway CX(s) Applied: A9 Date: 01/13/2010 Location(s): Livingston, New Jersey Office(s): Fossil Energy, National Energy Technology Laboratory January 12, 2010 CX-006426: Categorical Exclusion Determination Ohio-City-Elyria CX(s) Applied: A1, A9, A11, B1.32, B5.1 Date: 01/12/2010 Location(s): Elyria, Ohio Office(s): Energy Efficiency and Renewable Energy

132

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-003880: Categorical Exclusion Determination Energy Independent Agri-Business Outreach CX(s) Applied: A9, B5.1 Date: 09/01/2010 Location(s): Cortland County, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office September 1, 2010 CX-003863: Categorical Exclusion Determination Design and Demonstration of an Advanced Agricultural Feedstock Supply System for Lignocellulosic Bioenergy Production CX(s) Applied: A9, B3.6, B5.1 Date: 09/01/2010 Location(s): Hugoton, Kansas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office September 1, 2010 CX-003676: Categorical Exclusion Determination Legacy Engine Demonstration CX(s) Applied: A1, A9, A11, B1.31, B3.6 Date: 09/01/2010 Location(s): Knoxville, Tennessee Office(s): Energy Efficiency and Renewable Energy, National Energy

133

Categorical Exclusion Determinations: A9 | Department of Energy  

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

June 26, 2012 June 26, 2012 CX-008441: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir (Task 17 - Office Work) CX(s) Applied: A9, A11 Date: 06/26/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory June 26, 2012 CX-008439: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir (Task 17 - Borehole) CX(s) Applied: A9, B1.13, B3.1, B3.7 Date: 06/26/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory June 25, 2012 CX-008570: Categorical Exclusion Determination State Energy Program Formula Grant for the State of Utah CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Utah Offices(s): Golden Field Office

134

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-003054: Categorical Exclusion Determination Energy Efficient/Comfortable Buildings through Multivariate Integrated Controls (ECoMIC) CX(s) Applied: A9, B2.2, B5.1 Date: 07/19/2010 Location(s): Westchester, New York Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory July 19, 2010 CX-003050: Categorical Exclusion Determination Irvine Smart Grid Demonstration Project CX(s) Applied: A9, A11, B3.6, B4.6, B5.1 Date: 07/19/2010 Location(s): Irvine, California Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory July 19, 2010 CX-003048: Categorical Exclusion Determination Training Program Development for Commercial Building Equipment Technicians CX(s) Applied: A1, A9, A11 Date: 07/19/2010

135

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2, 2009 2, 2009 CX-000030: Categorical Exclusion Determination Orutsararmuit Native Village Energy Efficiency and Conservation Programs for Buildings and Facilities CX(s) Applied: B5.1, A9 Date: 11/02/2009 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000029: Categorical Exclusion Determination Organized Village of Kasaan Energy Efficiency and Conservation Programs for Buildings and Facilities CX(s) Applied: B5.1, A9 Date: 11/02/2009 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000028: Categorical Exclusion Determination Little River Band of Ottawa Indians Energy Efficiency and Conservation Programs for Buildings and Facilities CX(s) Applied: B5.1, A9 Date: 11/02/2009 Location(s): Michigan

136

Categorical Exclusion Determinations: A9 | Department of Energy  

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

April 29, 2013 April 29, 2013 CX-010168: Categorical Exclusion Determination ChargePoint America CX(s) Applied: A9, A11, B5.1, B5.23 Date: 04/29/2013 Location(s): Maryland Offices(s): National Energy Technology Laboratory April 26, 2013 CX-010262: Categorical Exclusion Determination Smart Grid Functionality; Smart-Grid Ready Photovoltaic Inverter with Utility Communication CX(s) Applied: A9, B3.6, B5.16 Date: 04/26/2013 Location(s): Tennessee Offices(s): Golden Field Office April 26, 2013 CX-010259: Categorical Exclusion Determination Florida State Energy Program CX(s) Applied: A9, A11, B1.32, B2.1, B2.2, B5.1, B5.16 Date: 04/26/2013 Location(s): Florida Offices(s): Golden Field Office April 26, 2013 CX-010258: Categorical Exclusion Determination Bangladesh Meteorological Instrumentation Installation

137

Categorical Exclusion Determinations: A9 | Department of Energy  

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

June 12, 2013 June 12, 2013 CX-010458: Categorical Exclusion Determination Multi-Objective Optimal Sensor Placement Under Uncertainty for Advanced Power Systems CX(s) Applied: A9 Date: 06/12/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory June 12, 2013 CX-010457: Categorical Exclusion Determination Intelligent Coordination of Heterogeneous Sensors in Advanced Power Systems CX(s) Applied: A9 Date: 06/12/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory June 12, 2013 CX-010455: Categorical Exclusion Determination Trident: A Human Factors Decision Aid Integrating Deepwater Drilling Tasks, Incidents, and Literature CX(s) Applied: A9, A11 Date: 06/12/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory June 12, 2013

138

Categorical Exclusion Determinations: A9 | Department of Energy  

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

24, 2009 24, 2009 CX-000448: Categorical Exclusion Determination Geologic Characterization of the South Georgia Rift Basin for Source Proximal Carbon Dioxide Storage CX(s) Applied: A9, B3.1 Date: 11/24/2009 Location(s): Columbia, South Carolina Office(s): Fossil Energy, National Energy Technology Laboratory November 24, 2009 CX-000447: Categorical Exclusion Determination Developing a 1xN Fiber Optic Sensor Array for Carbon Sequestration Monitoring CX(s) Applied: A9, B3.1, B3.6 Date: 11/24/2009 Location(s): Bozeman, Montana Office(s): Fossil Energy, National Energy Technology Laboratory November 24, 2009 CX-000381: Categorical Exclusion Determination Microbial and Chemical Enhancement of In-Situ Carbon Mineralization in Geological Formation CX(s) Applied: A9, B3.6 Date: 11/24/2009

139

Categorical Exclusion Determinations: A9 | Department of Energy  

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

December 19, 2012 December 19, 2012 CX-009569: Categorical Exclusion Determination 2012 Illinois State Energy Program Formula Award - Modification CX(s) Applied: A9, A11, B5.1, B5.19 Date: 12/19/2012 Location(s): Illinois Offices(s): Golden Field Office December 19, 2012 CX-009553: Categorical Exclusion Determination Mild Biomass Liquefaction Process for Economic Production of Stabilized Refiner-Ready Bio-Oils CX(s) Applied: A9, B3.6 Date: 12/19/2012 Location(s): North Carolina, New Jersey Offices(s): Golden Field Office December 17, 2012 CX-009746: Categorical Exclusion Determination Upstream Ultrasonic Processing for Small Producers: Preventative Maintenance for Paraffin Management CX(s) Applied: A9, A11, B3.6 Date: 12/17/2012 Location(s): Washington Offices(s): National Energy Technology Laboratory

140

Categorical Exclusion Determinations: A9 | Department of Energy  

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

December 20, 2011 December 20, 2011 CX-007414: Categorical Exclusion Determination Optimized Ports Assessment CX(s) Applied: A9, A11 Date: 12/20/2011 Location(s): Oregon Offices(s): Golden Field Office December 20, 2011 CX-007406: Categorical Exclusion Determination Shallow Water Offshore Wind System Optimization for the Great Lakes CX(s) Applied: A9 Date: 12/20/2011 Location(s): Ohio Offices(s): Golden Field Office December 20, 2011 CX-007462: Categorical Exclusion Determination Light-Emitting Diode Street Light Retrofit CX(s) Applied: A1, A9, B5.1, B5.15 Date: 12/20/2011 Location(s): Ohio Offices(s): National Energy Technology Laboratory December 20, 2011 CX-007404: Categorical Exclusion Determination National Offshore Wind Energy Resource and Design Data Campaign - Analysis and Collaboration

Note: This page contains sample records for the topic "a9 total inputs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Categorical Exclusion Determinations: A9 | Department of Energy  

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

February 23, 2012 February 23, 2012 CX-007922: Categorical Exclusion Determination Game Changing Technology of Polymeric-Surfactants for Tertiary Oil CX(s) Applied: A9, B3.6 Date: 02/23/2012 Location(s): California Offices(s): National Energy Technology Laboratory February 22, 2012 CX-007933: Categorical Exclusion Determination Identifying and Developing Technology to Pursue Residual Oil Zone Fairways of the Permian Basin CX(s) Applied: A9, B3.6 Date: 02/22/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory February 22, 2012 CX-007932: Categorical Exclusion Determination Identifying and Developing Technology to Pursue Residual Oil Zone Fairways of the Permian Basin CX(s) Applied: A9, B3.6 Date: 02/22/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory

142

Categorical Exclusion Determinations: A9 | Department of Energy  

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

5, 2012 5, 2012 CX-007886: Categorical Exclusion Determination Development of a 300°C, 200 level, 3C Fiber Optic Downhole Seismic Receiver Array for Surveying and Monitoring of Geothermal Reservoirs CX(s) Applied: A9, B3.6, B3.11 Date: 01/25/2012 Location(s): California Offices(s): Golden Field Office January 20, 2012 CX-007603: Categorical Exclusion Determination Ultra-Deepwater Resources to Reserves Development and Acceleration through Appraisal CX(s) Applied: A9 Date: 01/20/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory January 19, 2012 CX-007540: Categorical Exclusion Determination Spectral Signal Processing: A New Approach to Mapping Reservoir Flow and Permeability CX(s) Applied: A9, B3.1 Date: 01/19/2012 Location(s): Hawaii Offices(s): Golden Field Office

143

Categorical Exclusion Determinations: A9 | Department of Energy  

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

March 29, 2010 March 29, 2010 CX-006880: Categorical Exclusion Determination Alaska-Tribe-Native Village of Port Lions CX(s) Applied: A9, B3.6, B5.1 Date: 03/29/2010 Location(s): Native Village of Port Lions, Alaska Office(s): Energy Efficiency and Renewable Energy March 26, 2010 CX-006430: Categorical Exclusion Determination Pennsylvania-City-Reading CX(s) Applied: A9, A11, B1.32, B5.1 Date: 03/26/2010 Location(s): Reading, Pennsylvania Office(s): Energy Efficiency and Renewable Energy March 26, 2010 CX-006429: Categorical Exclusion Determination Pennsylvania-City-Harrisburg CX(s) Applied: A9, A11, B2.5, B5.1 Date: 03/26/2010 Location(s): Harrisburg, Pennsylvania Office(s): Energy Efficiency and Renewable Energy March 26, 2010 CX-006414: Categorical Exclusion Determination Indiana-City-Elkhart

144

Categorical Exclusion Determinations: A9 | Department of Energy  

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

October 18, 2011 October 18, 2011 CX-006846: Categorical Exclusion Determination National Marine Renewable Energy Center CX(s) Applied: A9 Date: 10/18/2011 Location(s): Oregon Office(s): Energy Efficiency and Renewable Energy, Golden Field Office October 15, 2011 CX-008015: Categorical Exclusion Determination CATEGORICAL EXCLUSION (CX) FOR DEVELOPMENT AND IMPLEMENTATION OF ENERGY EFFICIENCY AND CONSERVATION STRATEGIES (CX-EECBG-001) CX(s) Applied: A9, A11, B5.1 Date: 10/15/2011 Location(s): Nationwide Office(s): Energy Efficiency & Renewable Energy (EERE) / Oak Ridge Office (ORO) October 14, 2011 CX-007068: Categorical Exclusion Determination Injecting Carbon Dioxide into Unconventional Storage Reservoirs in the Central Appalachian Basin CX(s) Applied: A9 Date: 10/14/2011 Location(s): Canada, Nationwide, Other Location

145

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-000937: Categorical Exclusion Determination Oakland University Human Health Sciences Building Ground Source Heat Pump CX(s) Applied: B3.1, A9 Date: 02/19/2010 Location(s): Michigan Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 19, 2010 CX-000936: Categorical Exclusion Determination Montgomery County American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant (S) - Act 1 (County Building Retrofits) CX(s) Applied: A9, A11, B5.1 Date: 02/19/2010 Location(s): Montgomery County, Ohio Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 19, 2010 CX-000933: Categorical Exclusion Determination Statement of Work for Morris County - S CX(s) Applied: A9, A11, B5.1 Date: 02/19/2010

146

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-002961: Categorical Exclusion Determination Determination of the Impact of a Carbon Dioxide Mitigation Technology on Mercury Emissions CX(s) Applied: B3.6, A9 Date: 07/09/2010 Location(s): Windsor, Connecticut Office(s): Fossil Energy, National Energy Technology Laboratory July 9, 2010 CX-002948: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions - Kansas State University CX(s) Applied: B3.11, A9, B5.1 Date: 07/09/2010 Location(s): Manhattan, Kansas Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory July 9, 2010 CX-002896: Categorical Exclusion Determination Commercial Building Energy Efficiency Education Project CX(s) Applied: A9 Date: 07/09/2010 Location(s): Springfield, Illinois Office(s): Energy Efficiency and Renewable Energy, National Energy

147

Categorical Exclusion Determinations: A9 | Department of Energy  

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

14, 2010 14, 2010 CX-003022: Categorical Exclusion Determination Clean Energy Rebate Program - Gerdes Solar Project CX(s) Applied: A9, B5.1 Date: 07/14/2010 Location(s): Dunwoody, Georgia Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory July 14, 2010 CX-003020: Categorical Exclusion Determination Clean Energy Rebate Program - GenTran Solar Project CX(s) Applied: A9, B5.1 Date: 07/14/2010 Location(s): Alpharetta, Georgia Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory July 14, 2010 CX-003018: Categorical Exclusion Determination Clean Energy Rebate Program - AMLI Solar Project CX(s) Applied: A9, B5.1 Date: 07/14/2010 Location(s): Kennesaw, Georgia Office(s): Energy Efficiency and Renewable Energy, National Energy

148

Categorical Exclusion Determinations: A9 | Department of Energy  

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

7, 2010 7, 2010 CX-000767: Categorical Exclusion Determination Developing a Comprehensive Risk Assessment Framework for Geological Storage of Carbon Dioxide CX(s) Applied: A9, A11 Date: 02/07/2010 Location(s): Austin, Texas Office(s): Fossil Energy, National Energy Technology Laboratory February 5, 2010 CX-000778: Categorical Exclusion Determination Market Transformation and Technology Deployment - Renewable Energy Projects CX(s) Applied: A9, A11, B5.1 Date: 02/05/2010 Location(s): Mississippi Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory February 5, 2010 CX-001080: Categorical Exclusion Determination Montana State Energy Program American Recovery and Reinvestment Act Award CX(s) Applied: A9, A11, B5.1 Date: 02/05/2010 Location(s): Montana

149

Categorical Exclusion Determinations: A9 | Department of Energy  

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

November 11, 2009 November 11, 2009 CX-000189: Categorical Exclusion Determination Texas County Fort Bend CX(s) Applied: A9, A11, B5.1 Date: 11/11/2009 Location(s): Fort Blend County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 11, 2009 CX-000188: Categorical Exclusion Determination Texas City San Antonio CX(s) Applied: A9, A11, B2.5, B3.6, B5.1 Date: 11/11/2009 Location(s): San Antonio, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 11, 2009 CX-000187: Categorical Exclusion Determination South Carolina County Richland CX(s) Applied: A9, A11, B2.5, B5.1 Date: 11/11/2009 Location(s): Richland County, South Carolina Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 10, 2009

150

Categorical Exclusion Determinations: A9 | Department of Energy  

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

May 31, 2012 May 31, 2012 CX-008574: Categorical Exclusion Determination University of Wisconsin Oshkosh Anaerobic Dry Digestion Facility CX(s) Applied: A9, B3.6, B5.20 Date: 05/31/2012 Location(s): Wisconsin Offices(s): Golden Field Office May 31, 2012 CX-008481: Categorical Exclusion Determination Composite Riser for Ultra-Deepwater High Pressure Wells CX(s) Applied: A9 Date: 05/31/2012 Location(s): Nebraska Offices(s): National Energy Technology Laboratory May 31, 2012 CX-008560: Categorical Exclusion Determination Small Scale Electrical Power Generation from Heat Co-produced in Geothermal Fluids CX(s) Applied: A9, B3.6, B5.2, B5.15 Date: 05/31/2012 Location(s): Nevada Offices(s): Golden Field Office May 31, 2012 CX-008539: Categorical Exclusion Determination Scale Resistant Heat Exchangers for Low Temperature Geothermal Binary Cycle

151

Categorical Exclusion Determinations: A9 | Department of Energy  

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

6, 2010 6, 2010 CX-003112: Categorical Exclusion Determination Large-Scale Wind Training Program CX(s) Applied: A9 Date: 07/16/2010 Location(s): New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office July 16, 2010 CX-003061: Categorical Exclusion Determination Recovery Act-Fault Current Limiting (FCL) Superconducting Transformer CX(s) Applied: A9, B3.6, B4.11 Date: 07/16/2010 Location(s): Irvine, California Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory July 16, 2010 CX-003065: Categorical Exclusion Determination Clean Energy Property Rebate Program - Southeast Office Partners, LLC Lighting Retrofit CX(s) Applied: A9, B5.1 Date: 07/16/2010 Location(s): Tucker, Georgia Office(s): Energy Efficiency and Renewable Energy, National Energy

152

Categorical Exclusion Determinations: A9 | Department of Energy  

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

4, 2010 4, 2010 CX-003692: Categorical Exclusion Determination Tucson Public Building Solar Arrays CX(s) Applied: A9, B5.1 Date: 09/14/2010 Location(s): Tucson, Arizona Office(s): Energy Efficiency and Renewable Energy, Golden Field Office September 14, 2010 CX-003691: Categorical Exclusion Determination Validation of Innovative Techniques - Pilgrim Hot Springs, Alaska CX(s) Applied: A9, B3.1, B3.7, B5.12 Date: 09/14/2010 Location(s): Pilgrim Hot Springs, Alaska Office(s): Energy Efficiency and Renewable Energy, Golden Field Office September 13, 2010 CX-003824: Categorical Exclusion Determination Renewable Energy Program CX(s) Applied: A9, B1.24, B2.2, B5.1 Date: 09/13/2010 Location(s): Kellenberg, New York Office(s): Energy Efficiency and Renewable Energy, National Energy

153

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2009 8, 2009 CX-000139: Categorical Exclusion Determination Rampart Village Energy Efficiency Audits/Retrofits CX(s) Applied: B2.5, B5.1, A1, A9 Date: 12/18/2009 Location(s): Rampart Village, Alaska Office(s): Energy Efficiency and Renewable Energy December 17, 2009 CX-001286: Categorical Exclusion Determination Develop Greenhouse Gas Reduction Plan, Energy Audits, and Energy Retrofits CX(s) Applied: A9, A11, B2.5, B5.1 Date: 12/17/2009 Location(s): Roanoke, Virginia Office(s): Energy Efficiency and Renewable Energy December 17, 2009 CX-001276: Categorical Exclusion Determination Install Photovoltaic Roof System, Energy Efficiency Retrofits, Building Audits, and Hire a Committee CX(s) Applied: A9, A11, B2.5, B3.6, B5.1 Date: 12/17/2009 Location(s): Merrimack, New Hampshire

154

Categorical Exclusion Determinations: A9 | Department of Energy  

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

23, 2010 23, 2010 CX-001203: Categorical Exclusion Determination Recovery Act - Lake Elizabeth Micro-Utility CX(s) Applied: A9, A11 Date: 03/23/2010 Location(s): Twin Lakes, Wisconsin Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 23, 2010 CX-001201: Categorical Exclusion Determination Oak Ridge City Center Technology Demonstration Project CX(s) Applied: A9, A11 Date: 03/23/2010 Location(s): Oak Ridge, Tennessee Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 23, 2010 CX-001207: Categorical Exclusion Determination Grid-Scale Energy Storage Demonstration for Ancillary Services Using the UltraBattery Technology CX(s) Applied: A9, B1.15, B3.6, B4.6 Date: 03/23/2010 Location(s): Lyon Station, Pennsylvania Office(s): Electricity Delivery and Energy Reliability, National Energy

155

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2, 2010 2, 2010 CX-000737: Categorical Exclusion Determination Catalytic Transformation of Waste Carbon Dioxide into Valuable Products CX(s) Applied: A9, B3.6 Date: 01/22/2010 Location(s): Ithaca, New York Office(s): Fossil Energy, National Energy Technology Laboratory January 22, 2010 CX-000739: Categorical Exclusion Determination Site Characterization of the Highest-Priority Geologic Formations for Carbon Dioxide storage in Wyoming CX(s) Applied: A1, A9, B3.6 Date: 01/22/2010 Location(s): Laramie, Wyoming Office(s): Fossil Energy, National Energy Technology Laboratory January 22, 2010 CX-000740: Categorical Exclusion Determination Site Characterization for Carbon Dioxide Storage from Coal-fired Power Facilities in the Black Warrior Basin of Alabama CX(s) Applied: A9, B3.1

156

Categorical Exclusion Determinations: A9 | Department of Energy  

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

20, 2010 20, 2010 CX-003093: Categorical Exclusion Determination Alaska-Tribal Energy Program-Kootznoowoo Hydro Pre-Construction Project CX(s) Applied: A9, A11, B3.1 Date: 07/20/2010 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy July 19, 2010 CX-003768: Categorical Exclusion Determination Context-Aware Smart Home Energy Manager CX(s) Applied: A9, A11, B2.2, B5.1 Date: 07/19/2010 Location(s): Sanford , North Carolina Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory July 19, 2010 CX-003260: Categorical Exclusion Determination Michigan-City-Warren CX(s) Applied: A1, A9, A11, B2.5, B5.1 Date: 07/19/2010 Location(s): Warren, Michigan Office(s): Energy Efficiency and Renewable Energy July 19, 2010 CX-003059: Categorical Exclusion Determination

157

Categorical Exclusion Determinations: A9 | Department of Energy  

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

10, 2012 10, 2012 CX-007828: Categorical Exclusion Determination Design and Engineering of a "Green" Fire Station CX(s) Applied: A9, B5.1 Date: 01/10/2012 Location(s): Arizona Offices(s): Energy Efficiency and Renewable Energy January 10, 2012 CX-007551: Categorical Exclusion Determination Rotation-Enabled Seven-Depth of Field Seismometer for Geothermal Resource Development CX(s) Applied: A9, B3.6 Date: 01/10/2012 Location(s): New Mexico Offices(s): Golden Field Office January 10, 2012 CX-007545: Categorical Exclusion Determination Deepwater Offshore Bat and Avian Monitoring Program CX(s) Applied: A9, B3.1, B3.3, B3.16 Date: 01/10/2012 Location(s): Maine Offices(s): Golden Field Office January 9, 2012 CX-007546: Categorical Exclusion Determination Management and Analysis of Extreme Wave and Ice Action in the Great Lakes

158

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-006324: Categorical Exclusion Determination Illinois-City-Skokie, Village of CX(s) Applied: A9, A11, B2.5, B5.1 Date: 03/09/2010 Location(s): Skokie, Illinois Office(s): Energy Efficiency and Renewable Energy March 9, 2010 CX-006299: Categorical Exclusion Determination Colorado-County-Mesa CX(s) Applied: A1, A9, B1.32, B5.1 Date: 03/09/2010 Location(s): Mesa County, Colorado Office(s): Energy Efficiency and Renewable Energy March 9, 2010 CX-006413: Categorical Exclusion Determination Alaska-County-Fairbanks North Star CX(s) Applied: A9, B5.1 Date: 03/09/2010 Location(s): Fairbanks, Alaska Office(s): Energy Efficiency and Renewable Energy March 9, 2010 CX-001093: Categorical Exclusion Determination Finite Volume Based Computer Program for Ground Source Heat Pump System

159

Categorical Exclusion Determinations: A9 | Department of Energy  

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

December 4, 2012 December 4, 2012 CX-009554: Categorical Exclusion Determination In-situ X-ray Nanocharacterization of Defect Kinetics in Chalcogenide Solar Cell CX(s) Applied: A9, B3.6 Date: 12/04/2012 Location(s): Arizona Offices(s): Golden Field Office December 4, 2012 CX-009561: Categorical Exclusion Determination Using Solid Particles as Heat Transfer Fluid for Use in Concentrating Solar Power (CSP) Plants CX(s) Applied: A9 Date: 12/04/2012 Location(s): Colorado Offices(s): Golden Field Office December 4, 2012 CX-009558: Categorical Exclusion Determination PMVI Bay Area Photovoltaic Consortium CX(s) Applied: A9, B3.15, B3.6 Date: 12/04/2012 Location(s): California Offices(s): Golden Field Office November 28, 2012 CX-009547: Categorical Exclusion Determination Recovery Act: Advanced Seismic Data Analysis Program ('Hot Pot Project')

160

Categorical Exclusion Determinations: A9 | Department of Energy  

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

August 15, 2013 August 15, 2013 CX-010757: Categorical Exclusion Determination The New England Solar cost-Reduction Challenge Partnership CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Vermont, New Hampshire, Rhode Island, Massachusetts, Connecticut Offices(s): Golden Field Office August 14, 2013 CX-010790: Categorical Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide (CO2) Site Characterization Mega Transect CX(s) Applied: A9, A11 Date: 08/14/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory August 14, 2013 CX-010797: Categorical Exclusion Determination Serration Behavior of High Entropy Alloys CX(s) Applied: A9 Date: 08/14/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory August 14, 2013 CX-010796: Categorical Exclusion Determination

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161

Categorical Exclusion Determinations: A9 | Department of Energy  

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

13, 2011 13, 2011 CX-004983: Categorical Exclusion Determination Evaluation of a Spray Dryer Absorber for Multipollutant Control CX(s) Applied: A9, B3.6 Date: 01/13/2011 Location(s): Grand Forks, North Dakota Office(s): Fossil Energy, National Energy Technology Laboratory January 12, 2011 CX-005018: Categorical Exclusion Determination Facility Heating, Air Conditioning, and Ventilation System Conversion to Ground Source Heat Pump (Phase 2) CX(s) Applied: A9, B5.1, B5.3 Date: 01/12/2011 Location(s): Montana Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 12, 2011 CX-005014: Categorical Exclusion Determination Creating Green Talent in the Southwest CX(s) Applied: A9, B5.1 Date: 01/12/2011 Location(s): New Mexico Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

162

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2010 8, 2010 CX-003698: Categorical Exclusion Determination Green Education CX(s) Applied: A1, A9, B1.2, B5.1 Date: 09/08/2010 Location(s): Maricopa, Arizona Office(s): Energy Efficiency and Renewable Energy September 7, 2010 CX-003905: Categorical Exclusion Determination Geothermal Research and Outreach at the Great Basin Center for Geothermal Energy CX(s) Applied: A9, B3.1 Date: 09/07/2010 Location(s): Nevada Office(s): Energy Efficiency and Renewable Energy, Golden Field Office September 7, 2010 CX-003875: Categorical Exclusion Determination Long Island Biofuels Alliance CX(s) Applied: A9, B3.6, B5.1 Date: 09/07/2010 Location(s): Stony Brook, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office September 7, 2010 CX-003844: Categorical Exclusion Determination

163

Categorical Exclusion Determinations: A9 | Department of Energy  

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

7, 2010 7, 2010 CX-003426: Categorical Exclusion Determination Alternative Energy Education CX(s) Applied: A9, B1.2, B1.7, B2.2, B3.6, B4.4, B5.1 Date: 08/17/2010 Location(s): Rochester, Michigan Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 17, 2010 CX-003424: Categorical Exclusion Determination City of Norco Waste to Energy Project CX(s) Applied: A9, B3.6 Date: 08/17/2010 Location(s): Norco, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 17, 2010 CX-003413: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant/Town of Drummond Wind Turbine Project Beyond State Template CX(s) Applied: A9, B3.6, B5.1 Date: 08/17/2010 Location(s): Drummond, Oklahoma

164

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2012 8, 2012 CX-009366: Categorical Exclusion Determination Field Demonstration of Chemical Flooding of the Trembly Oilfield, Reno County, Kansas - Phase I CX(s) Applied: A9, A11, B3.6 Date: 09/18/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory September 18, 2012 CX-009365: Categorical Exclusion Determination Field Demonstration of Chemical Flooding of the Trembly Oilfield, Reno County, Kansas - Phase I CX(s) Applied: A9 Date: 09/18/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory September 17, 2012 CX-009382: Categorical Exclusion Determination Development of Advanced High Strength Cast Alloys for Heavy Duty Engines (Summary CX) CX(s) Applied: A9, B3.6 Date: 09/17/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory

165

Categorical Exclusion Determinations: A9 | Department of Energy  

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

4, 2009 4, 2009 CX-000446: Categorical Exclusion Determination Coupled Hydro-Chemo-Thermo-Mechanical Phenomena for Pore Scale Processes to Macro Scale Implications CX(s) Applied: A9, B3.1, B3.6 Date: 11/24/2009 Location(s): Atlanta, Georgia Office(s): Fossil Energy, National Energy Technology Laboratory November 24, 2009 CX-000451: Categorical Exclusion Determination The Potential Risks of Freshwater Aquifer Contamination with Geosequestration CX(s) Applied: A9, B3.1, B3.6 Date: 11/24/2009 Location(s): Durham, North Carolina Office(s): Fossil Energy, National Energy Technology Laboratory November 24, 2009 CX-000450: Categorical Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide Site Characterization Mega Transect CX(s) Applied: A9, B3.1 Date: 11/24/2009 Location(s): Austin, Texas

166

Categorical Exclusion Determinations: A9 | Department of Energy  

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

August 26, 2010 August 26, 2010 CX-003529: Categorical Exclusion Determination Substation Preventive Maintenance Program CX(s) Applied: A1, A9, B1.3, B5.1 Date: 08/26/2010 Location(s): Ottawa, Ohio Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory August 26, 2010 CX-003528: Categorical Exclusion Determination Energy Transmission and Infrastructure Northern Ohio CX(s) Applied: A1, A9 Date: 08/26/2010 Location(s): Oberlin, Ohio Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory August 26, 2010 CX-003527: Categorical Exclusion Determination Toussaint-Benton 12.47 Kilovolt Distribution Circuit Upgrade CX(s) Applied: A1, A9, B1.7, B4.13, B5.1 Date: 08/26/2010 Location(s): Oak Harbor, Ohio Office(s): Electricity Delivery and Energy Reliability, National Energy

167

Categorical Exclusion Determinations: A9 | Department of Energy  

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

3, 2010 3, 2010 CX-003366: Categorical Exclusion Determination Advanced Combustion Controls - Enabling Systems and Solutions (ACCESS) for High Efficiency Vehicles CX(s) Applied: A9, A11 Date: 08/13/2010 Location(s): Rochester Hills, Michigan Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 13, 2010 CX-003365: Categorical Exclusion Determination Advanced Combustion Controls - Enabling Systems and Solutions (ACCESS) for High Efficiency Vehicles CX(s) Applied: A9, A11 Date: 08/13/2010 Location(s): Palo Alto, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 13, 2010 CX-003348: Categorical Exclusion Determination Kansas State University Center for Sustainable Energy CX(s) Applied: A9, B3.6

168

Categorical Exclusion Determinations: A9 | Department of Energy  

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

7, 2010 7, 2010 CX-003742: Categorical Exclusion Determination Recovery Act - Urban Grid Monitoring and Renewables Integration CX(s) Applied: A9, A11, B3.6, B5.1 Date: 09/17/2010 Location(s): Boston, Massachusetts Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory September 17, 2010 CX-003739: Categorical Exclusion Determination National Electric Sector Cybersecurity Organization CX(s) Applied: A1, A9, A11 Date: 09/17/2010 Location(s): Clackamas, Oregon Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory September 17, 2010 CX-003734: Categorical Exclusion Determination Hydrogen Separation for Clean Coal CX(s) Applied: A9, A11, B3.6 Date: 09/17/2010 Location(s): Laramie, Wyoming Office(s): Fossil Energy, National Energy Technology Laboratory

169

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2010 8, 2010 CX-002136: Categorical Exclusion Determination Sirti Foundation Energy Innovation Fund CX(s) Applied: A9, A11 Date: 04/28/2010 Location(s): Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-001946: Categorical Exclusion Determination Township of Edison, New Jersey CX(s) Applied: B1.32, B2.5, A9, A11, B5.1 Date: 04/28/2010 Location(s): Edison, New Jersey Office(s): Energy Efficiency and Renewable Energy April 28, 2010 CX-001934: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant - 5. Cook County Deconstruction Program CX(s) Applied: A9, A11 Date: 04/28/2010 Location(s): Illinois Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-001824: Categorical Exclusion Determination

170

Categorical Exclusion Determinations: A9 | Department of Energy  

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

23, 2010 23, 2010 CX-002825: Categorical Exclusion Determination AltAir Fuels CX(s) Applied: A9 Date: 06/23/2010 Location(s): Anacortes, Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office June 23, 2010 CX-002798: Categorical Exclusion Determination Central Corridor Energy District Integration Study CX(s) Applied: A9 Date: 06/23/2010 Location(s): St. Paul, Minnesota Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory June 23, 2010 CX-002790: Categorical Exclusion Determination California-City-Orange CX(s) Applied: B2.5, A9, A11, B5.1 Date: 06/23/2010 Location(s): Orange, California Office(s): Energy Efficiency and Renewable Energy June 23, 2010 CX-002792: Categorical Exclusion Determination Massachusetts-City-Taunton

171

Categorical Exclusion Determinations: A9 | Department of Energy  

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

July 30, 2013 July 30, 2013 CX-010828: Categorical Exclusion Determination Coil Tubing (CT) Drilling and Intervention System Using Cost-Effective Vessels (10121-4505-01) CX(s) Applied: A9 Date: 07/30/2013 Location(s): Mexico Offices(s): National Energy Technology Laboratory July 30, 2013 CX-010827: Categorical Exclusion Determination Coil Tubing (CT) Drilling and Intervention System Using Cost-Effective Vessels (10121-4505-01) CX(s) Applied: A9 Date: 07/30/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory July 25, 2013 CX-010602: Categorical Exclusion Determination The Coal-Seq III Consortium: Advancing the Science of Carbon Dioxide Sequestration in Coal Seam and Gas Shale CX(s) Applied: A9 Date: 07/25/2013 Location(s): Virginia, Texas Offices(s): National Energy Technology Laboratory

172

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2010 8, 2010 CX-003481: Categorical Exclusion Determination California - City - Compton CX(s) Applied: A9, A11, B2.5, B5.1 Date: 08/18/2010 Location(s): Compton, California Office(s): Energy Efficiency and Renewable Energy August 18, 2010 CX-003479: Categorical Exclusion Determination National Open-Ocean Energy Laboratory CX(s) Applied: A9, A11, B3.1, B3.3, B3.6 Date: 08/18/2010 Location(s): Florida Office(s): Energy Efficiency and Renewable Energy, Golden Field Office August 17, 2010 CX-003497: Categorical Exclusion Determination Research on Fuel Cell Powered by Hydrogen from Biomass to Provide Clean Energy for Remote Farms away from Electric Grid CX(s) Applied: A9 Date: 08/17/2010 Location(s): Farmingdale, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

173

Categorical Exclusion Determinations: A9 | Department of Energy  

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

0, 2010 0, 2010 CX-002054: Categorical Exclusion Determination Loan and Grant Program, Energy Audits and Conservation Education Program, Sustainability Office CX(s) Applied: A9, A11, B5.1 Date: 04/20/2010 Location(s): Snohomish County, Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 20, 2010 CX-002050: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant Funded Projects - Statement of Work (S) CX(s) Applied: A9, A11, B5.1 Date: 04/20/2010 Location(s): Loudoun County, Virginia Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 20, 2010 CX-002048: Categorical Exclusion Determination City of DeSmet CX(s) Applied: A9, B5.1 Date: 04/20/2010 Location(s): DeSmet, South Dakota Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

174

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-002344: Categorical Exclusion Determination Project Management and Strategic Studies CX(s) Applied: A1, A9 Date: 05/11/2010 Location(s): Grand Forks, North Dakota Office(s): Fossil Energy, National Energy Technology Laboratory May 11, 2010 CX-002333: Categorical Exclusion Determination Smart Grid Regional Demonstration - Technology Solutions for Wind Integration - Phase I CX(s) Applied: A9 Date: 05/11/2010 Location(s): Austin, Texas Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory May 11, 2010 CX-002348: Categorical Exclusion Determination California Low Carbon Fuels Infrastructure Investment Initiative (LCFI3) CX(s) Applied: A1, A9, B5.1 Date: 05/11/2010 Location(s): Sacramento, California Office(s): Energy Efficiency and Renewable Energy, National Energy

175

Categorical Exclusion Determinations: A9 | Department of Energy  

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

3, 2010 3, 2010 CX-001753: Categorical Exclusion Determination Arizona-Tribe-White Mountain Apache of the Fort Apache CX(s) Applied: A9, A11 Date: 04/13/2010 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy April 13, 2010 CX-001749: Categorical Exclusion Determination Alaska-Tribe-Igiugig Tribal Village Council CX(s) Applied: A9, B5.1 Date: 04/13/2010 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy April 13, 2010 CX-001747: Categorical Exclusion Determination Alaska-Tribe-Bristol Bay Native Association CX(s) Applied: B2.5, A9, A11, B5.1 Date: 04/13/2010 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy April 13, 2010 CX-002105: Categorical Exclusion Determination Washington-Tribal Energy Program-Upper Skagit Indian Tribe

176

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2012 8, 2012 CX-008420: Categorical Exclusion Determination Louisiana-City-Lafayette CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 06/08/2012 Location(s): Louisiana Offices(s): Energy Efficiency and Renewable Energy June 7, 2012 CX-008473: Categorical Exclusion Determination Effect of Climate Variability & Change in Hurricane Activity in the North Atlantic CX(s) Applied: A9 Date: 06/07/2012 Location(s): Colorado Offices(s): National Energy Technology Laboratory June 6, 2012 CX-008573: Categorical Exclusion Determination Wisconsin Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date: 06/06/2012 Location(s): Wisconsin Offices(s): Golden Field Office June 4, 2012 CX-008482: Categorical Exclusion Determination Composite Riser for Ultra-Deepwater High Pressure Wells

177

Categorical Exclusion Determinations: A9 | Department of Energy  

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

18, 2010 18, 2010 CX-004292: Categorical Exclusion Determination Small Scale Electrical Power Generation from Low-Temperature Geothermal Process Water Utilized in a Mining Operation CX(s) Applied: A9, B3.1, B3.6 Date: 10/18/2010 Location(s): Reno, Nevada Office(s): Energy Efficiency and Renewable Energy, Golden Field Office October 18, 2010 CX-004284: Categorical Exclusion Determination Recovery Act: Conducting a 3-Dimensional Converted Shear Wave Project CX(s) Applied: A9, B3.1, B3.7 Date: 10/18/2010 Location(s): Imperial County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office October 18, 2010 CX-004282: Categorical Exclusion Determination Characterizing Stimulation Domains for Improved Well Completions in Gas Shales CX(s) Applied: A9

178

Categorical Exclusion Determinations: A9 | Department of Energy  

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

May 29, 2013 May 29, 2013 CX-010508: Categorical Exclusion Determination Cloud County Community College Wind Turbine CX(s) Applied: A9, A11, B3.14 Date: 05/29/2013 Location(s): Kansas Offices(s): Golden Field Office May 29, 2013 CX-010480: Categorical Exclusion Determination Development of a Multi-User Network Testbed for Wide-Area Monitoring and Control of Power Systems CX(s) Applied: A9, B3.6 Date: 05/29/2013 Location(s): North Carolina Offices(s): National Energy Technology Laboratory May 29, 2013 CX-010479: Categorical Exclusion Determination Load Control System Reliability CX(s) Applied: A9 Date: 05/29/2013 Location(s): Wyoming Offices(s): National Energy Technology Laboratory May 23, 2013 CX-010272: Categorical Exclusion Determination Chesapeake Light Tower Survey, Assessment, and Cost Estimate

179

Categorical Exclusion Determinations: A9 | Department of Energy  

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

June 16, 2011 June 16, 2011 CX-006097: Categorical Exclusion Determination California-City-Indio CX(s) Applied: A9, A11, B1.32, B2.5, B3.6, B5.1 Date: 06/16/2011 Location(s): Indio, California Office(s): Energy Efficiency and Renewable Energy June 15, 2011 CX-006202: Categorical Exclusion Determination Port of Galveston Solar Energy Project CX(s) Applied: A9, B3.1 Date: 06/15/2011 Location(s): Galveston, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office June 15, 2011 CX-006199: Categorical Exclusion Determination Crump Geyser - High Precision Geophysics and Detailed Structural Exploration and Slim Well Drilling CX(s) Applied: A9, B3.1, B3.7 Date: 06/15/2011 Location(s): Oregon Office(s): Energy Efficiency and Renewable Energy, Golden Field Office June 15, 2011

180

Categorical Exclusion Determinations: A9 | Department of Energy  

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

14, 2011 14, 2011 CX-006759: Categorical Exclusion Determination International Colloquium on Environmentally-Preferred Advanced Power Generation - ICEPAG 2012 CX(s) Applied: A9 Date: 09/14/2011 Location(s): Costa Mesa, California Office(s): Fossil Energy, National Energy Technology Laboratory September 13, 2011 CX-007022: Categorical Exclusion Determination Oregon-City-Medford CX(s) Applied: A9, A11, B5.1 Date: 09/13/2011 Location(s): Medford, Oregon Office(s): Energy Efficiency and Renewable Energy September 13, 2011 CX-006761: Categorical Exclusion Determination Graduate Automotive Technology Education Center for Electric Drive Transportation CX(s) Applied: A9, A11, B3.6 Date: 09/13/2011 Location(s): Dearborn, Michigan Office(s): Energy Efficiency and Renewable Energy, National Energy

Note: This page contains sample records for the topic "a9 total inputs" 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

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-001866: Categorical Exclusion Determination Renewable Energy Composite Solutions CX(s) Applied: A1, A9, B5.1 Date: 03/31/2010 Location(s): Vancouver, Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 31, 2010 CX-001523: Categorical Exclusion Determination County of San Bernardino, California Energy Efficiency and Conservation Block Grants Projects (S) CX(s) Applied: A9, A11, B5.1 Date: 03/31/2010 Location(s): San Bernardino County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 31, 2010 CX-001570: Categorical Exclusion Determination Texas County of Hidalgo CX(s) Applied: A9, A11, B5.1 Date: 03/31/2010 Location(s): Hidalgo, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

182

Categorical Exclusion Determinations: A9 | Department of Energy  

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

6, 2010 6, 2010 CX-003799: Categorical Exclusion Determination Electrochromic Glazing Technology: Improved Performance, Lower Price CX(s) Applied: A9, B2.2, B5.1 Date: 09/16/2010 Location(s): Faribault, Minnesota Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory September 16, 2010 CX-003798: Categorical Exclusion Determination Master Curriculum Development for Energy Auditors, Commissioning Agents and Energy Engineers CX(s) Applied: A9, B5.1 Date: 09/16/2010 Location(s): Milwaukee, Wisconsin Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory September 16, 2010 CX-003740: Categorical Exclusion Determination Oak Ridge City Center Technology Demonstration Project CX(s) Applied: A9 Date: 09/16/2010

183

Categorical Exclusion Determinations: A9 | Department of Energy  

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

May 15, 2012 May 15, 2012 CX-008246: Categorical Exclusion Determination Recovery Act: Tennessee Energy Efficient Schools Initiative Ground Source Heat Pump Program CX(s) Applied: A9, B2.1, B5.19 Date: 05/15/2012 Location(s): Tennessee Offices(s): Golden Field Office May 15, 2012 CX-008240: Categorical Exclusion Determination Franklyn Center - North Saint Paul CX(s) Applied: A9, B2.1, B5.19 Date: 05/15/2012 Location(s): Minnesota Offices(s): Golden Field Office May 15, 2012 CX-008238: Categorical Exclusion Determination Recovery Act: Colorado State Capitol Building Geothermal Program CX(s) Applied: A9, B2.1, B5.19 Date: 05/15/2012 Location(s): Colorado Offices(s): Golden Field Office May 14, 2012 CX-008271: Categorical Exclusion Determination Pilot Testing: Pretreatment Options to Allow Re-Use of Flowback Water

184

SWAT 2012 Input/Output Documentation  

E-Print Network (OSTI)

The Soil and Water Assessment Tool (SWAT) is a comprehensive model that requires a diversity of information in order to run. Novice users may feel overwhelmed by the variety and number of inputs when they first begin to use the model. This document provides a full description of model inputs. The inputs are organized by topic and emphasis is given to differentiating required inputs from optional inputs. The first chapter focuses on assisting the user in identifying inputs that must be defined for their particular dataset. The remaining chapters list variables by file and discuss methods used to measure or calculate values for the input parameters. SWAT is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. SWAT is a small watershed to river basin-scale model to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices, and climate change. SWAT is widely used in assessing soil erosion prevention and control, non-point source pollution control and regional management in watersheds. Download the SWAT model, or read more information at the SWAT website.

Arnold, J.G.; Kiniry, J.R.; Srinivasan, R.; Williams, J.R.; Haney, E.B.; Neitsch, S.L.

2013-03-04T23:59:59.000Z

185

Categorical Exclusion Determinations: A9 | Department of Energy  

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

3, 2011 3, 2011 CX-006434: Categorical Exclusion Determination Texas-City-Edinburg CX(s) Applied: A9, A11, B2.5, B5.1 Date: 08/03/2011 Location(s): Edinburg, Texas Office(s): Energy Efficiency and Renewable Energy July 28, 2011 CX-006328: Categorical Exclusion Determination Indiana-City-Muncie CX(s) Applied: A9, A11, B1.32, B2.5, B5.1 Date: 07/28/2011 Location(s): Muncie, Indiana Office(s): Energy Efficiency and Renewable Energy July 27, 2011 CX-006329: Categorical Exclusion Determination Indiana-City-South Bend CX(s) Applied: A1, A9, A11, B2.5, B5.1 Date: 07/27/2011 Location(s): South Bend, Indiana Office(s): Energy Efficiency and Renewable Energy July 27, 2011 CX-006297: Categorical Exclusion Determination Colorado-City-Fort Collins CX(s) Applied: A1, A9, B1.32, B2.5, B3.6, B5.1

186

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2012 9, 2012 CX-008605: Categorical Exclusion Determination Geothermal Technology Advancement for Rapid Development of Resources in the U.S. CX(s) Applied: A9, B3.2, B3.11 Date: 07/19/2012 Location(s): Texas Offices(s): Golden Field Office July 19, 2012 CX-008604: Categorical Exclusion Determination Recovery Act: Hybrid Ground Source Heat Pump System in Tennessee K-12 Schools CX(s) Applied: A9, B2.1, B5.19 Date: 07/19/2012 Location(s): Tennessee Offices(s): Golden Field Office July 18, 2012 CX-008599: Categorical Exclusion Determination New Mexico State Energy Program 2012 CX(s) Applied: A9, A11 Date: 07/18/2012 Location(s): New Mexico Offices(s): Golden Field Office July 18, 2012 CX-008598: Categorical Exclusion Determination New Jersey State Energy Program CX(s) Applied: A9, A11, B5.1

187

Categorical Exclusion Determinations: A9 | Department of Energy  

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

23, 2011 23, 2011 CX-005311: Categorical Exclusion Determination Missouri-County-Jackson CX(s) Applied: A9, A11, B5.1 Date: 02/23/2011 Location(s): Jackson County, Missouri Office(s): Energy Efficiency and Renewable Energy February 23, 2011 CX-005303: Categorical Exclusion Determination California-City-Chino Hills CX(s) Applied: A9, A11, B5.1 Date: 02/23/2011 Location(s): Chino Hills, California Office(s): Energy Efficiency and Renewable Energy February 23, 2011 CX-007834: Categorical Exclusion Determination Florida -City - North Port CX(s) Applied: A1, A9, A11, B5.1., B5.23 Date: 02/23/2011 Location(s): Florida Offices(s): Energy Efficiency and Renewable Energy February 22, 2011 CX-005307: Categorical Exclusion Determination Florida-City-Miramar CX(s) Applied: A1, A9, B1.32, B2.5, B5.1

188

National Climate Assessment: Available Technical Inputs  

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

Available Technical Inputs Print E-mail Available Technical Inputs Print E-mail Technical inputs for the 2013 National Climate Assessment were due March 1, 2012. Please note that these reports were submitted independently to the National Climate Assessment for consideration and have not been reviewed by the National Climate Assessment Development and Advisory Committee. Links to agency-sponsored reports will be posted here as they are made available. Sectors National Climate Assessment Health Sector Literature Review and Bibliography. Technical Input for the Interagency Climate Change and Human Health Group, September 2012. Overview Bibliography Bibliography User's Guide Search Strategy and Results Walthall et al. 2012. Climate Change and Agriculture in the United States: Effects and Adaptation. USDA Technical Bulletin 1935. Washington, DC. 186 pages. | Report FAQs

189

Agricultural and Environmental Input Parameters for the Biosphere Model  

SciTech Connect

This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

K. Rasmuson; K. Rautenstrauch

2004-09-14T23:59:59.000Z

190

Refinery & Blenders Net Input of Crude Oil  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

191

Categorical Exclusion Determinations: A9 | Department of Energy  

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

0, 2009 0, 2009 CX-000056: Categorical Exclusion Determination San Pasqual Band of Diegueno Mission Indians Energy Efficiency and Conservation Strategy Date: 11/10/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy November 10, 2009 CX-000055: Categorical Exclusion Determination New Rochelle's Residential and Commercial Audits CX(s) Applied: B5.1, B2.5, A9, A11 Date: 11/10/2009 Location(s): New Rochelle, New York Office(s): Energy Efficiency and Renewable Energy November 10, 2009 CX-000054: Categorical Exclusion Determination New Brunswick's Building Audits, Solar Consortium Study, and Energy Efficiency and Conservation Strategy CX(s) Applied: B5.1, A9, A11 Date: 11/10/2009 Location(s): New Brunswick, New Jersey Office(s): Energy Efficiency and Renewable Energy

192

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2010 8, 2010 CX-002000: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant - Energy Efficiency Retrofits for Littauer Property Barn Complex CX(s) Applied: A9, A11, B5.1 Date: 04/28/2010 Location(s): Oyster Bay, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-002001: Categorical Exclusion Determination Cincinnati City American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant Act 3 (Mill Creek Restoration Project) CX(s) Applied: B3.1, A9, A11 Date: 04/28/2010 Location(s): Cincinnati, Ohio Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-001966: Categorical Exclusion Determination McKinney, Texas Technical Consultant and Other Projects

193

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2, 2010 2, 2010 CX-000743: Categorical Exclusion Determination Site Characterization for Carbon Dioxide Storage from Coal-fired Power Facilities in the Black Warrior Basin of Alabama CX(s) Applied: A9, B3.1 Date: 01/22/2010 Location(s): Tuscaloosa, Alabama Office(s): Fossil Energy, National Energy Technology Laboratory January 21, 2010 CX-002153: Categorical Exclusion Determination Development of High Yield Tropical Feedstock and Biomass Conversion Technology for Renewable Energy Production and Economic Development CX(s) Applied: B3.8, A9, B5.1 Date: 01/21/2010 Location(s): Hawaii Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 21, 2010 CX-002154: Categorical Exclusion Determination Recovery Act: DeepCwind Consortium National Research Program: Validation of

194

Categorical Exclusion Determinations: A9 | Department of Energy  

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

12, 2011 12, 2011 CX-006479: Categorical Exclusion Determination Fenestration System Energy Performance Rating Development and Research CX(s) Applied: A1, A2, A9, A11, B1.2, B5.1 Date: 08/12/2011 Location(s): Greenbelt, Maryland Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 12, 2011 CX-006469: Categorical Exclusion Determination A Geomechanical Model for Gas Shales Based on the Integration of Stress CX(s) Applied: A9, A11 Date: 08/12/2011 Location(s): University Park, Pennsylvania Office(s): Fossil Energy, National Energy Technology Laboratory August 11, 2011 CX-006478: Categorical Exclusion Determination Cellulosic Biomass Sugars to Advantaged Jet Fuel: Catalytic Conversion of Com Stover to Energy Dense, Low Freeze Point Paraffins and Naphthenes

195

Categorical Exclusion Determinations: A9 | Department of Energy  

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

7, 2010 7, 2010 CX-004201: Categorical Exclusion Determination Geologic Characterization of the South Georgia Rift Basin for Source Proximal Carbon Dioxide Storage CX(s) Applied: A9, B3.1 Date: 09/27/2010 Location(s): South Carolina Office(s): Fossil Energy, National Energy Technology Laboratory September 27, 2010 CX-004194: Categorical Exclusion Determination Cretaceous Mancos Shale Uinta Basin, Utah: Resource Potential and Best Practices For an Emerging Shale CX(s) Applied: A9, B3.1 Date: 09/27/2010 Location(s): Price, Utah Office(s): Fossil Energy, National Energy Technology Laboratory September 27, 2010 CX-004188: Categorical Exclusion Determination Development of Ion Transport Membrane Oxygen Technology for Integration in Integrated Gasification Combined Cycle and Advanced Power Generation

196

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-000755: Categorical Exclusion Determination Pecan Street Project Energy Internet Demonstration CX(s) Applied: A9, B5.1 Date: 01/29/2010 Location(s): Austin, Texas Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory January 28, 2010 CX-000637: Categorical Exclusion Determination Characterizing Structural Controls of Enhanced Geothermal System-Candidate and Conventional Geothermal Reservoirs in the Great Basin: Developing Successful Exploration Strategies in Extended Terranes CX(s) Applied: A9, B3.1 Date: 01/28/2010 Location(s): Nevada Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 28, 2010 CX-000642: Categorical Exclusion Determination Recovery Act: North Little Rock Hydroelectric Department Hydroelectric

197

Categorical Exclusion Determinations: A9 | Department of Energy  

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

7, 2009 7, 2009 CX-000455: Categorical Exclusion Determination Focused Site Characterization for Carbon Dioxide Storage Along a Mount Simon Sandstone Fairway in the Michigan Basin CX(s) Applied: A1, A9 Date: 12/07/2009 Location(s): Kalamazoo, Michigan Office(s): Fossil Energy, National Energy Technology Laboratory December 7, 2009 CX-000454: Categorical Exclusion Determination Focused Site Characterization for Carbon Dioxide Storage Along a Mount Simon Sandstone Fairway in the Michigan Basin CX(s) Applied: A9, B2.3, B3.1, B3.7 Date: 12/07/2009 Location(s): Holland, Michigan Office(s): Fossil Energy, National Energy Technology Laboratory December 7, 2009 CX-000456: Categorical Exclusion Determination Focused Site Characterization for Carbon Dioxide Storage Along a Mount

198

Categorical Exclusion Determinations: A9 | Department of Energy  

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

28, 2011 28, 2011 CX-005184: Categorical Exclusion Determination The Development of Open, Water Lubricated Polycrystalline Diamond Thrust Bearings For use in Marine Hydrokinetic Energy Machines CX(s) Applied: A9, B3.6 Date: 01/28/2011 Location(s): Orem, Utah Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 28, 2011 CX-005183: Categorical Exclusion Determination Los Tomates Meteorological Tower; National Renewable Energy Laboratory Tracking Number 11?009 CX(s) Applied: A9, B3.1 Date: 01/28/2011 Location(s): Los Tomates, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 28, 2011 CX-005181: Categorical Exclusion Determination Los Indios Meteorological Tower; National Renewable Energy Laboratory Tracking Number 11-008

199

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-001393: Categorical Exclusion Determination High Penetration of Photovoltaic Generation - Award Number DE-EE0002060 Date: 03/21/2010 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 21, 2010 CX-001189: Categorical Exclusion Determination Michigan Energy Efficiency and Conservation Block Grant - Renewable Projects (Not Included in Bounded Categories) CX(s) Applied: A9, A11, B5.1 Date: 03/21/2010 Location(s): Michigan Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 21, 2010 CX-001202: Categorical Exclusion Determination Cushman North Fork Skokomish Powerhouse CX(s) Applied: A9 Date: 03/21/2010 Location(s): Tacoma, Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

200

Categorical Exclusion Determinations: A9 | Department of Energy  

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

8, 2010 8, 2010 CX-002326: Categorical Exclusion Determination Community Renewable Energy Deployment - Sacramento Municipal Utility District (SMUD): BLT Anaerobic Digester Date: 05/18/2010 Location(s): Sacramento, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office May 18, 2010 CX-002294: Categorical Exclusion Determination Enhanced Distribution and Demand Management Regional Demonstration CX(s) Applied: B3.6, A1, A9, A11, B1.7, B5.1 Date: 05/18/2010 Location(s): Arlington, Virginia Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory May 17, 2010 CX-002554: Categorical Exclusion Determination California-City-Hemet CX(s) Applied: B1.32, A1, A9, A11, B5.1 Date: 05/17/2010 Location(s): Hemet, California

Note: This page contains sample records for the topic "a9 total inputs" 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

Categorical Exclusion Determinations: A9 | Department of Energy  

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

October 13, 2009 October 13, 2009 CX-004611: Categorical Exclusion Determination Confederated Salish and Kootenai Tribes of Montana Energy Audits CX(s) Applied: A9, A11, B5.1 Date: 10/13/2009 Location(s): Flathead, Montana Office(s): Energy Efficiency and Renewable Energy October 13, 2009 CX-004595: Categorical Exclusion Determination Ramona Band of Cahuilla Mission Indians of California Energy Efficiency and Conservation Strategy Date: 10/13/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy October 1, 2009 CX-004622: Categorical Exclusion Determination Red Cliff Band of Lake Superior Chippewa of Wisconsin - Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11 Date: 10/01/2009 Location(s): Wisconsin Office(s): Energy Efficiency and Renewable Energy

202

Categorical Exclusion Determinations: A9 | Department of Energy  

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

August 17, 2011 August 17, 2011 CX-006556: Categorical Exclusion Determination Gallium Nitride Electronics for Grid Applications CX(s) Applied: A1, A2, A9, A11, B3.6 Date: 08/17/2011 Location(s): Cambridge, Massachusetts Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory August 17, 2011 CX-006555: Categorical Exclusion Determination Gallium Nitride Electronics for Grid Applications CX(s) Applied: A1, A2, A9, A11, B3.6 Date: 08/17/2011 Location(s): Lexington, Massachusetts Office(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory August 16, 2011 CX-006538: Categorical Exclusion Determination Bringing Hydrogen Fuel Cell Systems into Green Communities - University Retirement Center at Davis Green Energy Community

203

Categorical Exclusion Determinations: A9 | Department of Energy  

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

0, 2010 0, 2010 CX-001938: Categorical Exclusion Determination Renewable Energy Enterprise Zones (REEZ) Boise County Woody Biomass Co-generation and Central Heating Plant (CHP) Feasibility Study CX(s) Applied: A9, A11 Date: 02/10/2010 Location(s): Boise County, Idaho Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 10, 2010 CX-001941: Categorical Exclusion Determination Renewable Energy Enterprise Zones (REEZ) Amalgamated Sugar Biogas Feasibility Study (Nampa #1) CX(s) Applied: A9, A11 Date: 02/10/2010 Location(s): Nampa, Idaho Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 10, 2010 CX-001943: Categorical Exclusion Determination Renewable Energy Enterprise Zones (REEZ) Clark County Waste to Energy Feasibility Study

204

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2, 2010 2, 2010 CX-003937: Categorical Exclusion Determination Hawaii Energy Sustainability Program (Subtask 2.4.1: Evaluate Carbonized Biomass Samples) CX(s) Applied: A9, A11, B1.24, B3.6, B5.1 Date: 09/22/2010 Location(s): Honolulu, Hawaii Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory September 22, 2010 CX-003936: Categorical Exclusion Determination Hawaii Energy Sustainability Program (Subtask 2.3.1: Hydrogen Research and Development) CX(s) Applied: A9, A11, B1.24, B3.6 Date: 09/22/2010 Location(s): Honolulu, Hawaii Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory September 22, 2010 CX-003935: Categorical Exclusion Determination Hawaii Energy Sustainability Program (Subtask 2.3: Portable Hydrogen Tube

205

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2009 1, 2009 CX-000415: Categorical Exclusion Determination Characterization of Most Promising Carbon Capture and Sequestration Formations in the Central Rocky Mountain Region CX(s) Applied: A9, A11 Date: 12/11/2009 Location(s): Socorro, New Mexico Office(s): Fossil Energy, National Energy Technology Laboratory December 10, 2009 CX-001287: Categorical Exclusion Determination Hire a Consultant, Energy Equipment Upgrades, Building Retrofits, Participate in Programs, Traffic Signal Retrofits Date: 12/10/2009 Location(s): Tacoma, Washington Office(s): Energy Efficiency and Renewable Energy December 10, 2009 CX-000353: Categorical Exclusion Determination General Administrative Action to gather information for American Recovery and Reinvestment Act Award CX(s) Applied: A9

206

Categorical Exclusion Determinations: A9 | Department of Energy  

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

9, 2010 9, 2010 CX-003827: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9, B3.1 Date: 09/09/2010 Location(s): San Pedro, California Office(s): Fossil Energy, National Energy Technology Laboratory September 9, 2010 CX-003825: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9, B3.1 Date: 09/09/2010 Location(s): Long Beach, California Office(s): Fossil Energy, National Energy Technology Laboratory September 9, 2010 CX-003818: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington

207

Categorical Exclusion Determinations: A9 | Department of Energy  

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

24, 2011 24, 2011 CX-006014: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant Program - Georgia-City-Savannah CX(s) Applied: A1, A9, B1.32, B2.5, B5.1 Date: 05/24/2011 Location(s): Savannah, Georgia Office(s): Energy Efficiency and Renewable Energy May 23, 2011 CX-006017: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant Program - Louisiana-City-Kenner CX(s) Applied: A9, A11, B2.5, B5.1 Date: 05/23/2011 Location(s): Kenner, Louisiana Office(s): Energy Efficiency and Renewable Energy May 23, 2011 CX-005919: Categorical Exclusion Determination Workforce Development Initiative ? Student Intern and Fellowship Program CX(s) Applied: A1, A9, A11, B1.12, B5.1 Date: 05/23/2011 Location(s): North Carolina Office(s): Energy Efficiency and Renewable Energy, National Energy

208

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-001851: Categorical Exclusion Determination Michigan-City-Royal Oak Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11, B1.32, B5.1 Date: 04/21/2010 Location(s): Royal Oak, Michigan Office(s): Energy Efficiency and Renewable Energy April 21, 2010 CX-001750: Categorical Exclusion Determination Alaska-Tribe-Gakona Energy Efficiency and Conservation Strategy CX(s) Applied: A9, B2.5, B5.1 Date: 04/21/2010 Location(s): Gakona, Alaska Office(s): Energy Efficiency and Renewable Energy April 21, 2010 CX-002107: Categorical Exclusion Determination Wisconsin-City-West Allis CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 04/21/2010 Location(s): West Allis, Wisconsin Office(s): Energy Efficiency and Renewable Energy April 21, 2010 CX-002096: Categorical Exclusion Determination

209

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-002702: Categorical Exclusion Determination Alaska-Tribe-Ninilchik Village of Alaska CX(s) Applied: A9, A11, B5.1 Date: 06/01/2010 Location(s): Ninilchik Village, Alaska Office(s): Energy Efficiency and Renewable Energy June 1, 2010 CX-002509: Categorical Exclusion Determination Energy Retrofits for State Correctional Facilities CX(s) Applied: B1.23, B1.24, B1.28, B1.31, B2.2, A9, A11, B1.7, B5.1 Date: 06/01/2010 Location(s): Alabama Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory June 1, 2010 CX-002449: Categorical Exclusion Determination Arizona Balance of Energy Efficiency and Conservation Block Grant Competitive Grant CX(s) Applied: A9, A11, B5.1 Date: 06/01/2010 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

210

Categorical Exclusion Determinations: A9 | Department of Energy  

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

2088: Categorical Exclusion Determination 2088: Categorical Exclusion Determination Pennsylvania-City-Erie CX(s) Applied: A9, A11, B1.32, B2.5, B5.1 Date: 04/20/2010 Location(s): Erie, Pennsylvania Office(s): Energy Efficiency and Renewable Energy April 20, 2010 CX-002065: Categorical Exclusion Determination Government Facilities Energy Efficiency CX(s) Applied: B2.5, A1, A9, B1.4, B5.1 Date: 04/20/2010 Location(s): Silver City, New Mexico Office(s): Energy Efficiency and Renewable Energy April 20, 2010 CX-002061: Categorical Exclusion Determination Township of Montclair Assessments and Retrofits CX(s) Applied: B2.5, A9, B5.1 Date: 04/20/2010 Location(s): Montclair, New Jersey Office(s): Energy Efficiency and Renewable Energy April 20, 2010 CX-002059: Categorical Exclusion Determination New Jersey-City-Hamilton, Township of

211

Table A34. Total Inputs of Energy for Heat, Power, and Electricity...  

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

lic",329,"*",36,266,27,0,0,13.3 3274," Lime",117,"Q",20,"Q",0,"W",0,24.3 3296," Mineral Wool",41,"W",2,8,20,7,"W",1.5 33,"Primary Metal Industries",2292,32,41,137,176,351,1554,5.1...

212

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

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

Breeze)","Other(e)","Row" "Code(a)","End-Use Categories","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","(billion cu ft)","(1000 bbls)","(1000 short...

213

Opportunities for Public Input Into DOE Projects  

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

Opportunities for Public Input Into DOE Projects Opportunities for Public Input Into DOE Projects There are currently several DOE-proposed activities that citizens can comment on in the near future. Here is a summary of each, as well as a description of how to provide your input into the project: Hanford Draft Closure and Waste Management Environmental Impact Statement Idahoans might be interested in this document because one of the proposed actions involves sending a small amount of radioactive waste (approximately 5 cubic meters of special reactor components) to the Idaho Nuclear Technology and Engineering Center on DOE's Idaho Site for treatment. Here is a link to more information about the document: http://www.hanford.gov . A public hearing on the draft EIS will be held in Boise on Tuesday, Feb. 2 at the Owyhee Plaza Hotel. It begins at 6 p.m.

214

North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas

215

New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,574 11,504 9,786 9,896 8,616 13,421 12,099 13,774 14,846 14,539 1990's 9,962 14,789 14,362 14,950 7,737 7,291 6,778 6,464 9,082 5,761 2000's 8,296 12,330 3,526 473 530 435 175 379 489 454 2010's 457 392 139 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Jersey Supplemental Supplies of Natural Gas

216

Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 1,838 63 2,006 2,470 2,689 2,142 2,199 1,948 2,088 1990's 2,361 2,032 1,437 791 890 15 315 134 11 4 2000's 339 6 1 13 39 16 19 33 28 18 2010's 12 9 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Nebraska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

217

Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Michigan Supplemental Supplies of Natural Gas

218

Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,868 9,133 8,877 7,927 9,137 8,934 8,095 8,612 10,322 9,190 1990's 15,379 6,778 7,158 8,456 8,168 7,170 6,787 6,314 5,292 4,526 2000's 4,772 5,625 5,771 5,409 5,308 5,285 6,149 6,869 6,258 7,527 2010's 5,148 4,268 4,412 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Colorado Supplemental Supplies of Natural Gas

219

Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 69,169 69,850 64,812 62,032 43,866 24,444 5,182 18 44 348 1990's 849 891 1,051 992 1,432 904 1,828 1,423 1,194 1,200 2000's 1,442 1,149 79 1,002 492 579 423 608 460 522 2010's 353 296 366 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Ohio Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

220

Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,190 2,993 2,899 2,775 2,449 2,655 2,630 2,461 2,801 2,844 1990's 2,817 2,725 2,711 2,705 2,831 2,793 2,761 2,617 2,715 2,752 2000's 2,769 2,689 2,602 2,602 2,626 2,606 2,613 2,683 2,559 2,447 2010's 2,472 2,467 2,510 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Hawaii Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

Note: This page contains sample records for the topic "a9 total inputs" 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

Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Massachusetts Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

222

Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1,602 5,056 3,496 4,142 4,027 2,711 2,351 3,890 4,243 3,512 1990's 3,015 3,077 3,507 3,232 2,457 3,199 3,194 3,580 3,149 5,442 2000's 5,583 5,219 1,748 2,376 2,164 1,988 1,642 635 30 1 2010's 1 5 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Indiana Supplemental Supplies of Natural Gas

223

Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 36,713 29,509 19,005 19,734 17,308 19,805 22,980 12,514 9,803 9,477 1990's 8,140 6,869 8,042 9,760 7,871 6,256 3,912 4,165 2,736 2,527 2000's 1,955 763 456 52 14 15 13 11 15 20 2010's 17 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Illinois Supplemental Supplies of Natural Gas

224

Data:91a9b456-c26d-4d4a-9fa5-366fba1db0f0 | Open Energy Information  

Open Energy Info (EERE)

b456-c26d-4d4a-9fa5-366fba1db0f0 b456-c26d-4d4a-9fa5-366fba1db0f0 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Village of Belmont, Wisconsin (Utility Company) Effective date: 2007/03/12 End date if known: Rate name: Ms-1 Street and Security Lighting Service: 400 W HPS(Ornamental) Sector: Lighting Description: This schedule will be applied to municipal street light lighting. The Utility will furnish, install, and maintain street lighting units. Power Cost Adjustment Clause: Charge per all kWh varies monthly Commitment to Community Program Rider: 2.0% of the total electric bill. Source or reference: http://psc.wi.gov/apps40/tariffs/viewfile.aspx?type=electric&id=440

225

Documentation of Calculation Methodology, Input Data, and Infrastructure  

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

Documentation of Calculation Methodology, Input Data, and Infrastructure Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Title Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Publication Type Report LBNL Report Number LBNL-51938 Year of Publication 2005 Authors Pinckard, Margaret J., Richard E. Brown, Evan Mills, James D. Lutz, Mithra M. Moezzi, Celina S. Atkinson, Christopher A. Bolduc, Gregory K. Homan, and Katie Coughlin Document Number LBNL-51938 Pagination 108 Date Published July 13 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

226

PUBLIC INFORMATION AND INPUT ON WIPP  

E-Print Network (OSTI)

PUBLIC INFORMATION AND INPUT ON WIPP Get The Information You Need 1. Check the EPA Website, Fact Sheets and Issue Papers. EPA will make sure that key information is available on its WIPP Website. EPA the EPA WIPP Information Line at 1-800-331-WIPP (1-800-331-9477) to obtain information on upcoming events

227

Efficient concurrency-bug detection across inputs  

Science Conference Proceedings (OSTI)

In the multi-core era, it is critical to efficiently test multi-threaded software and expose concurrency bugs before software release. Previous work has made significant progress in detecting and validating concurrency bugs under a given input. Unfortunately, ... Keywords: bug detection, concurrency bugs, multi-threaded software, software testing

Dongdong Deng, Wei Zhang, Shan Lu

2013-10-01T23:59:59.000Z

228

Gravity Transform for Input Conditioning in  

E-Print Network (OSTI)

Gravity Transform for Input Conditioning in Brain Machine Interfaces António R. C. Paiva, José C. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data Analysis #12;3 Outline 1. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data

Paiva, António R. C.

229

Hydrogen Generation Rate Model Calculation Input Data  

DOE Green Energy (OSTI)

This report documents the procedures and techniques utilized in the collection and analysis of analyte input data values in support of the flammable gas hazard safety analyses. This document represents the analyses of data current at the time of its writing and does not account for data available since then.

KUFAHL, M.A.

2000-04-27T23:59:59.000Z

230

Repeat on input for data flow computers  

DOE Patents (OSTI)

A processing node for a data flow parallel processing computer is activated by an input token from the system. The token or the stored information in the node includes information to cause the node to repeat a specified sequence of operations upon initiation by the token, thereby increasing the efficiency system for some computing operations.

Grafe, V.G.; Hoch, J.E.

1989-12-27T23:59:59.000Z

231

Multiple Input Microcantilever Sensor with Capacitive Readout  

DOE Green Energy (OSTI)

A surface-micromachined MEMS process has been used to demonstrate multiple-input chemical sensing using selectively coated cantilever arrays. Combined hydrogen and mercury-vapor detection was achieved with a palm-sized, self-powered module with spread-spectrum telemetry reporting.

Britton, C.L., Jr.; Brown, G.M.; Bryan, W.L.; Clonts, L.G.; DePriest, J.C.; Emergy, M.S.; Ericson, M.N.; Hu, Z.; Jones, R.L.; Moore, M.R.; Oden, P.I.; Rochelle, J.M.; Smith, S.F.; Threatt, T.D.; Thundat, T.; Turner, G.W.; Warmack, R.J.; Wintenberg, A.L.

1999-03-11T23:59:59.000Z

232

On the Input Problem for Massive Modularity  

Science Conference Proceedings (OSTI)

Jerry Fodor argues that the massive modularity thesis -- the claim that (human) cognition is wholly served by domain specific, autonomous computational devices, i.e., modules -- is a priori ... Keywords: Fodor, Sperber, input problem, language faculty, massive modularity, theory of mind

J. Collins

2005-02-01T23:59:59.000Z

233

Evaluating capacitive touch input on clothes  

Science Conference Proceedings (OSTI)

Wearable computing and smart clothing have attracted a lot of attention in the last years. For a variety of applications, it can be seen as potential future direction of mobile user interfaces. In this paper, we concentrate on usability and applicability ... Keywords: capacitive touch, design guidelines, input on textiles, wearable controls

Paul Holleis; Albrecht Schmidt; Susanna Paasovaara; Arto Puikkonen; Jonna Hkkil

2008-09-01T23:59:59.000Z

234

T-623: HP Business Availability Center Input Validation Hole...  

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

3: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site...

235

U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...  

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

2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

236

U-219: Symantec Web Gateway Input Validation Flaws Lets Remote...  

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

9: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords U-219: Symantec Web Gateway Input...

237

DOE Seeks Input On Addressing Contractor Pension and Medical...  

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

Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 -...

238

USDA, Departments of Energy and Navy Seek Input from Industry...  

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

Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry...

239

Documentation of Calculation Methodology, Input Data, and Infrastructu...  

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

Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Title Documentation of Calculation Methodology, Input Data, and...

240

Multimodal interfaces with voice and gesture input  

SciTech Connect

The modalities of speech and gesture have different strengths and weaknesses, but combined they create synergy where each modality corrects the weaknesses of the other. We believe that a multimodal system such a one interwining speech and gesture must start from a different foundation than ones which are based solely on pen input. In order to provide a basis for the design of a speech and gesture system, we have examined the research in other disciplines such as anthropology and linguistics. The result of this investigation was a taxonomy that gave us material for the incorporation of gestures whose meanings are largely transparent to the users. This study describes the taxonomy and gives examples of applications to pen input systems.

Milota, A.D.; Blattner, M.M.

1995-07-20T23:59:59.000Z

Note: This page contains sample records for the topic "a9 total inputs" 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

Increased Software Reliability Through Input Validation Analysis and Testing  

Science Conference Proceedings (OSTI)

The Input Validation Testing (IVT) technique has been developed to address the problem of statically analyzing input command syntax as defined in English textual interface and requirements specifications and then generating test cases for input validation ... Keywords: Software reliability, requirements analysis, system testing, quality control and assurance, interfaces, input validation

Jane Huffman Hayes; A. Jefferson Offutt

1999-11-01T23:59:59.000Z

242

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

243

Rocky Mountains (PADD 4) Gross Inputs to Refineries (Thousand ...  

U.S. Energy Information Administration (EIA)

Gross Input to Atmospheric Crude Oil Distillation Units ; PAD District 4 Refinery Utilization and Capacity ...

244

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

245

Total Crude by Pipeline  

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

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

246

Ground motion input in seismic evaluation studies  

Science Conference Proceedings (OSTI)

This report documents research pertaining to conservatism and variability in seismic risk estimates. Specifically, it examines whether or not artificial motions produce unrealistic evaluation demands, i.e., demands significantly inconsistent with those expected from real earthquake motions. To study these issues, two types of artificial motions are considered: (a) motions with smooth response spectra, and (b) motions with realistic variations in spectral amplitude across vibration frequency. For both types of artificial motion, time histories are generated to match target spectral shapes. For comparison, empirical motions representative of those that might result from strong earthquakes in the Eastern U.S. are also considered. The study findings suggest that artificial motions resulting from typical simulation approaches (aimed at matching a given target spectrum) are generally adequate and appropriate in representing the peak-response demands that may be induced in linear structures and equipment responding to real earthquake motions. Also, given similar input Fourier energies at high-frequencies, levels of input Fourier energy at low frequencies observed for artificial motions are substantially similar to those levels noted in real earthquake motions. In addition, the study reveals specific problems resulting from the application of Western U.S. type motions for seismic evaluation of Eastern U.S. nuclear power plants.

Sewell, R.T.; Wu, S.C.

1996-07-01T23:59:59.000Z

247

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

248

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

249

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

250

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

251

On the Wind Power Input to the Ocean General Circulation  

Science Conference Proceedings (OSTI)

The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically varying wind. Power ...

Xiaoming Zhai; Helen L. Johnson; David P. Marshall; Carl Wunsch

2012-08-01T23:59:59.000Z

252

On the Wind Power Input to the Ocean General Circulation  

E-Print Network (OSTI)

The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

Zhai, Xiaoming

253

Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

Input Supplemental Fuels (Million Cubic Feet) Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

254

Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet...  

Gasoline and Diesel Fuel Update (EIA)

Input Supplemental Fuels (Million Cubic Feet) Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

255

Estimation of time-dependent input from neuronal membrane potential  

Science Conference Proceedings (OSTI)

The set of firing rates of the presynaptic excitatory and inhibitory neurons constitutes the input signal to the postsynaptic neuron. Estimation of the time-varying input rates from intracellularly recorded membrane potential is investigated here. For ...

Ryota Kobayashi; Shigeru Shinomoto; Petr Lansky

2011-12-01T23:59:59.000Z

256

New Mexico Natural Gas Input Supplemental Fuels (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Input Supplemental Fuels (Million Cubic Feet) New Mexico Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

257

Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet...  

Gasoline and Diesel Fuel Update (EIA)

Input Supplemental Fuels (Million Cubic Feet) Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

258

U.S. Refinery Net Input  

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

2007 2008 2009 2010 2011 2012 View History Total 5,020,065 4,755,700 4,319,689 4,178,588 4,091,601 4,007,375 2005-2012 Crude Oil 5,532,097 5,361,287 5,232,656 5,374,094 5,404,347...

259

Data:Eb8ec01d-23a9-4a9b-a74b-fa4cb02074f1 | Open Energy Information  

Open Energy Info (EERE)

Eb8ec01d-23a9-4a9b-a74b-fa4cb02074f1 Eb8ec01d-23a9-4a9b-a74b-fa4cb02074f1 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Town of Waynesville, North Carolina (Utility Company) Effective date: 2010/07/01 End date if known: Rate name: Renewable Energy and Efficiency Portfolio Standards- Residential Sector: Residential Description: In 2007, the North Carolina General Assembly passed legislation that requires utility companies to develop an increasing supply of alternative energy resources, with 3% of their total supply coming from renewable by 2013 and 12% by 2021. Utility companies are charging their customers to recover the cost of the renewable energy they produce. In turn the Town is passing along these costs to its customers. These charges are set each December.

260

A survey of design issues in spatial input  

Science Conference Proceedings (OSTI)

We present a survey of design issues for developing effective free-space three-dimensional (3D) user interfaces. Our survey is based upon previous work in 3D interaction, our experience in developing free-space interfaces, and our informal observations ... Keywords: 3D interaction, ergonomics of virtual manipulation, haptic input, spatial input, two-handed input, virtual reality

Ken Hinckley; Randy Pausch; John C. Goble; Neal F. Kassell

1994-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "a9 total inputs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Table A39. Selected Combustible Inputs of Energy for Heat, Power, and  

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

9. Selected Combustible Inputs of Energy for Heat, Power, and" 9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use Categories","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Factors" "Total United States" "RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6

262

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

263

Correlations between industrial demands (direct and total) for communications and transportation in the US economy 1947-1997  

E-Print Network (OSTI)

inputs is high, does its requirement for communicationcommodity is high, does its requirement for the other typeTjt ) is high, does its total requirement for communications

Lee, Taihyeong; Mokhtarian, Patricia L

2008-01-01T23:59:59.000Z

264

U.S. Total Exports  

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

TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Kenai, AK Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

265

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

266

Data:Df1881a9-a802-4447-8451-e1954792b14e | Open Energy Information  

Open Energy Info (EERE)

881a9-a802-4447-8451-e1954792b14e 881a9-a802-4447-8451-e1954792b14e No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Village of Leigh, Nebraska (Utility Company) Effective date: 2013/01/15 End date if known: Rate name: Customer Generation Under Standby Concept - Subtransmission Substation Sector: Industrial Description: To any customer whose requirements are taken at a point or points determined by the District under a contract of standard form, where the customer's total monthly demand load exceeds 20,000 kilowatts and the customer takes delivery on the secondary side of a District Substation on the customer's property. (Not applicable to resale, standby or auxiliary service.)

267

21 briefing pages total  

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

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

268

Data:70fea17e-eda4-4a6a-9e81-5e3a9e785422 | Open Energy Information  

Open Energy Info (EERE)

fea17e-eda4-4a6a-9e81-5e3a9e785422 fea17e-eda4-4a6a-9e81-5e3a9e785422 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Delaware Electric Cooperative Effective date: 2011/02/01 End date if known: Rate name: Lighting Service--Schedule L-1 Mercury Vapor Lamp- Area Lighting Luminaire (175w) Sector: Lighting Description: Available to Members, governments, agencies, public and private organizations desiring Electric Delivery or Electric Supply and Delivery Services through unmetered services for roadway and area lighting. Source or reference: http://www.delaware.coop/my-services/residential/billing/rates

269

Data:28ae0957-3fcf-4a9f-a9ff-ca06b2106019 | Open Energy Information  

Open Energy Info (EERE)

ae0957-3fcf-4a9f-a9ff-ca06b2106019 ae0957-3fcf-4a9f-a9ff-ca06b2106019 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Courtland, Alabama (Utility Company) Effective date: 2012/10/01 End date if known: Rate name: MSC Sector: Industrial Description: Source or reference: ISU binder Source Parent: Comments flat rate & fuel cost adjustments change monthly Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1

270

Data:30272227-76f2-4518-9e01-7d60caa5a9a9 | Open Energy Information  

Open Energy Info (EERE)

72227-76f2-4518-9e01-7d60caa5a9a9 72227-76f2-4518-9e01-7d60caa5a9a9 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Caddo Electric Coop, Inc Effective date: End date if known: Rate name: New Load Standby Generation Rider Sector: Commercial Description: -The intent of the Cooperative is to reduce or eliminate consumer's billed demand charges as outlined in the standard LP1 Generator and LP2 Generator Rate Tariffs when newly constructed electricity consuming facility is first energized. - Available to a newly built or expanded load for which the minimum demand requirement of the LP1 Generator rates may apply.No resale is permitted.

271

Data:74b96db2-a9fa-46a9-af93-5e8986655f92 | Open Energy Information  

Open Energy Info (EERE)

db2-a9fa-46a9-af93-5e8986655f92 db2-a9fa-46a9-af93-5e8986655f92 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Lea County Electric Coop, Inc Effective date: 2009/08/30 End date if known: Rate name: Primary Service Over 2MW Sector: Industrial Description: Available system-wide, under contract, for petroleum pumping, pipeline pumping, government agencies, industrial uses, and such other service in conjuction therewith and incidental thereto, supplied at one point of delivery, measured by watt-hour meter, where facilities of adequate capacity and suitable potential are adjacent to the premises to be served over 2000k demand.

272

Barge Truck Total  

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

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

273

Summary Max Total Units  

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

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

274

Press Release: DOE Seeks Public Input for Depleted Uranium Hexafluorid...  

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

Perry, (865) 576-0885 September 24, 2001 www.oakridge.doe.gov DOE SEEKS PUBLIC INPUT FOR DEPLETED URANIUM HEXAFLUORIDE ENVIRONMENTAL IMPACT STATEMENT Public Meetings Planned in...

275

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan...

276

Table A38. Selected Combustible Inputs of Energy for Heat, Power, and  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,"Net Demand","Residual","Distillate",,,"(excluding","RSE" "SIC",,"for Electri-","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code","End-Use Categories","city(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6 ,"TOTAL INPUTS",2799,414,139,5506,105,1184,3 ,"Boiler Fuel",32,296,40,2098,18,859,3.6 ,"Total Process Uses",2244,109,34,2578,64,314,4.1

277

U.S. Refinery Net Input  

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

Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Total 320,455 348,984 346,918 365,525 358,673 335,185 2005-2013 Crude Oil 445,937 474,296 474,991 497,241 489,887 468,825 2005-2013 Natural Gas Plant Liquids 11,914 11,407 12,393 13,031 13,377 15,397 2005-2013 Pentanes Plus 4,688 4,040 4,439 4,667 5,044 5,273 2005-2013 Liquefied Petroleum Gases 7,226 7,367 7,954 8,364 8,333 10,124 2005-2013 Normal Butane 2,038 1,829 1,935 1,885 1,987 3,707 2005-2013 Isobutane 5,188 5,538 6,019 6,479 6,346 6,417 2005-2013 Other Liquids -137,396 -136,719 -140,466 -144,747 -144,591 -149,037 2005-2013 Hydrogen/Oxygenates/Renewables/ Other Hydrocarbons 7,511 8,089 7,844 8,541 8,568 8,086 2005-2013 Hydrogen 5,792 6,200 6,050 6,477 6,520 6,226 2009-2013

278

Input--output capital coefficients for energy technologies. [Input-output model  

DOE Green Energy (OSTI)

Input-output capital coefficients are presented for five electric and seven non-electric energy technologies. They describe the durable goods and structures purchases (at a 110 sector level of detail) that are necessary to expand productive capacity in each of twelve energy source sectors. Coefficients are defined in terms of 1967 dollar purchases per 10/sup 6/ Btu of output from new capacity, and original data sources include Battelle Memorial Institute, the Harvard Economic Research Project, The Mitre Corp., and Bechtel Corp. The twelve energy sectors are coal, crude oil and gas, shale oil, methane from coal, solvent refined coal, refined oil products, pipeline gas, coal combined-cycle electric, fossil electric, LWR electric, HTGR electric, and hydroelectric.

Tessmer, R.G. Jr.

1976-12-01T23:59:59.000Z

279

Semi-valid input coverage for fuzz testing  

Science Conference Proceedings (OSTI)

We define semi-valid input coverage (SVCov), the first coverage criterion for fuzz testing. Our criterion is applicable whenever the valid inputs can be defined by a finite set of constraints. SVCov measures to what extent the tests cover the domain ... Keywords: coverage criteria, fuzz testing, security testing

Petar Tsankov, Mohammad Torabi Dashti, David Basin

2013-07-01T23:59:59.000Z

280

Finding input sub-spaces for polymorphic fuzzy signatures  

Science Conference Proceedings (OSTI)

A significant feature of fuzzy signatures is its applicability for complex and sparse data. To create Polymorphic Fuzzy Signatures (PFS) for sparse data, sparse input sub-spaces (ISSs) should be considered. Finding the optimal ISSs manually is not a ... Keywords: WRAO, fuzzy C-means, fuzzy signatures, input subspace clustering, polymorphic fuzzy signatures, trapezoidal approximation

A. H. Hadad; T. D. Gedeon; B. S. U. Mendis

2009-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "a9 total inputs" 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

Ancient runes: using text input for interaction in mobile games  

Science Conference Proceedings (OSTI)

Mobile phones are often carried in the pocket making them available for gaming any time. Mobile games typically rely on the joystick for input, but quality of the joystick is very different in the different devices. This paper presents Ancient Runes, ... Keywords: mobile multiplayer gaming, playability, text input

Elina M. I. Koivisto; Riku Suomela; Ari Koivisto

2006-07-01T23:59:59.000Z

282

Manual deskterity: an exploration of simultaneous pen + touch direct input  

Science Conference Proceedings (OSTI)

Manual Deskterity is a prototype digital drafting table that supports both pen and touch input. We explore a division of labor between pen and touch that flows from natural human skill and differentiation of roles of the hands. We also explore the simultaneous ... Keywords: bimanual input, gestures, pen, tabletop, tablets, touch

Ken Hinckley; Koji Yatani; Michel Pahud; Nicole Coddington; Jenny Rodenhouse; Andy Wilson; Hrvoje Benko; Bill Buxton

2010-04-01T23:59:59.000Z

283

Kernel principal component analysis for stochastic input model generation  

Science Conference Proceedings (OSTI)

Stochastic analysis of random heterogeneous media provides useful information only if realistic input models of the material property variations are used. These input models are often constructed from a set of experimental samples of the underlying random ... Keywords: Data-driven models, Flow in random porous media, Kernel principal component analysis, Non-linear model reduction, Stochastic partial differential equations

Xiang Ma; Nicholas Zabaras

2011-08-01T23:59:59.000Z

284

Skeletal input for user interaction in X3D  

Science Conference Proceedings (OSTI)

Recent developments in depth sensor technology enable developers to use skeletal input in interactive 3D environments with high user fluctuation like museum exhibits. However, the question of how to use natural user input and body movement to control ... Keywords: Kinect, X3D, natural interaction

Manuel Olbrich; Tobias Franke; Jens Keil; Sven Hertling

2013-06-01T23:59:59.000Z

285

BeThere: 3D mobile collaboration with spatial input  

Science Conference Proceedings (OSTI)

We present BeThere, a proof-of-concept system designed to explore 3D input for mobile collaborative interactions. With BeThere, we explore 3D gestures and spatial input which allow remote users to perform a variety of virtual interactions ... Keywords: around device interaction, augmented reality, collaboration, depth sensors

Rajinder S. Sodhi; Brett R. Jones; David Forsyth; Brian P. Bailey; Giuliano Maciocci

2013-04-01T23:59:59.000Z

286

Twinkle box: a three-dimensional computer input device  

Science Conference Proceedings (OSTI)

During the past fifteen years, use of two-dimensional computer input/output devices has become commonplace. Since the earliest uses of the light pen for target identification in air defense systems it has been obvious that two-dimensional input would ...

Robert P. Burton; Ivan E. Sutherland

1974-05-01T23:59:59.000Z

287

T-623: HP Business Availability Center Input Validation Hole Permits  

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

3: HP Business Availability Center Input Validation Hole 3: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks May 16, 2011 - 3:05pm Addthis PROBLEM: A vulnerability was reported in HP Business Availability Center. A remote user can conduct cross-site scripting attacks. PLATFORM: HP Business Availability Center software 8.06 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: SecurityTracker Alert ID:1025535 HP Knowledge Base CVE-2011-1856 Secunia ID: SA44569 HP Document ID:c02823184 | ESB-2011.0525 IMPACT ASSESSMENT: High Discussion: A remote user can cause arbitrary scripting code to be executed by the

288

PREDICTING THE TIME RESPONSE OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS  

E-Print Network (OSTI)

solar space heating system with heat input and building loadBUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATINGBUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING

Warren, Mashuri L.

2013-01-01T23:59:59.000Z

289

Total Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

290

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

billion cubic feet per day) billion cubic feet per day) Total Marketed Production .............. 68.95 69.77 70.45 71.64 71.91 71.70 71.46 71.57 72.61 72.68 72.41 72.62 70.21 71.66 72.58 Alaska ......................................... 1.04 0.91 0.79 0.96 1.00 0.85 0.77 0.93 0.97 0.83 0.75 0.91 0.93 0.88 0.87 Federal GOM (a) ......................... 3.93 3.64 3.44 3.82 3.83 3.77 3.73 3.50 3.71 3.67 3.63 3.46 3.71 3.70 3.62 Lower 48 States (excl GOM) ...... 63.97 65.21 66.21 66.86 67.08 67.08 66.96 67.14 67.92 68.18 68.02 68.24 65.58 67.07 68.09 Total Dry Gas Production .............. 65.46 66.21 66.69 67.79 68.03 67.83 67.61 67.71 68.69 68.76 68.50 68.70 66.55 67.79 68.66 Gross Imports ................................ 8.48 7.60 7.80 7.95 8.27 7.59 7.96 7.91 7.89 7.17 7.61 7.73 7.96 7.93 7.60 Pipeline ........................................

291

Total Biofuels Consumption (2005 - 2009) Total annual biofuels...  

Open Energy Info (EERE)

Total Biofuels Consumption (2005 - 2009) Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions. ...

292

Data:0414441d-d9a9-4a9b-b247-0da7cf72e003 | Open Energy Information  

Open Energy Info (EERE)

41d-d9a9-4a9b-b247-0da7cf72e003 41d-d9a9-4a9b-b247-0da7cf72e003 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Elkhorn, Wisconsin (Utility Company) Effective date: 2012/07/01 End date if known: Rate name: Cp-2 Large Power Time of Day Service between 200kW and 1,000kW Demand with Parallel Generation(20kW or less)-Net Energy Billing Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0509 per kilowatt-hour.

293

Data:9c155141-a9cc-4469-ab9e-4a9d62e1d912 | Open Energy Information  

Open Energy Info (EERE)

1-a9cc-4469-ab9e-4a9d62e1d912 1-a9cc-4469-ab9e-4a9d62e1d912 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Salt River Electric Coop Corp Effective date: 2011/06/01 End date if known: Rate name: Large Power 3,000 kW and over (3000 kW - 9999 kW) Sector: Industrial Description: Available to all commercial and industrial consumers for lighting and/or heating or/or power, and who are served directly from a distribution substation of 3000 kW capacity or above. Source or reference: www.srelectric.com Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months):

294

Data:Bb30dde8-a329-49d1-a9ff-9f662a9bab8d | Open Energy Information  

Open Energy Info (EERE)

0dde8-a329-49d1-a9ff-9f662a9bab8d 0dde8-a329-49d1-a9ff-9f662a9bab8d No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Private Outdoor Lighting: Security Lights, Unmetered, 70 watt HPS Sector: Lighting Description: This style is not available after February 28, 1997. "Where service is not associated with a metered service, a Customer Charge of $5.00 for residential lights and $10.00 for commercial lights will be added to cover the associated costs of billing and related consumer costs not reflected in the lighting schedule."

295

Data:1a26d04f-0afc-4b0c-9d15-a9d69a9a4261 | Open Energy Information  

Open Energy Info (EERE)

f-0afc-4b0c-9d15-a9d69a9a4261 f-0afc-4b0c-9d15-a9d69a9a4261 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Norris Public Power District Effective date: 2012/01/20 End date if known: Rate name: SCHEDULE 6 - GENERAL SERVICE Sector: Commercial Description: Available for commercial, industrial, and farm service, for all uses including lighting, heating, and power, within the District's service area, where the customer's peak demand does not exceed an average of 250 kW for the four summer months and does not exceed 400 kW for any single winter month. Source or reference: http://www.norrisppd.com/downloads/Schedule%206%20-%20General%20Service.pdf

296

Data:F620c3a9-a9a2-4e43-b569-ed4ce349a6fb | Open Energy Information  

Open Energy Info (EERE)

c3a9-a9a2-4e43-b569-ed4ce349a6fb c3a9-a9a2-4e43-b569-ed4ce349a6fb No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Clintonville, Wisconsin (Utility Company) Effective date: 2006/05/05 End date if known: Rate name: Rg-2 Residential Service Optional Time-of-Day 8am-8pm with Parallel Generation(20kW or less) Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kWh of sales) is greater or lesser than the base cost of power purchased (per kWh of sales). The base cost of power is $0.0680 per kWh. See schedule PCAC.

297

Precoding by Pairing Subchannels to Increase MIMO Capacity With Discrete Input Alphabets  

E-Print Network (OSTI)

AbstractWe consider Gaussian multiple-input multiple-output (MIMO) channels with discrete input alphabets. We propose a nondiagonal precoder based on the X-Codes in [1] to increase the mutual information. The MIMO channel is transformed into a set of parallel subchannels using singular value decomposition (SVD) and X-Codes are then used to pair the subchannels. X-Codes are fully characterized by the pairings and a 2 2 2 real rotation matrix for each pair (parameterized with a single angle). This precoding structure enables us to express the total mutual information as a sum of the mutual information of all the pairs. The problem of finding the optimal precoder with the above structure, which maximizes the total mutual information, is solved by: i) optimizing the rotation angle and the power allocation within each pair and ii) finding the optimal pairing and power allocation among the pairs. It is shown that the mutual information achieved with the proposed pairing scheme is very close to that achieved with the optimal precoder by Cruz et al., and is significantly better than Mercury/waterfilling strategy by Lozano et al. Our approach greatly simplifies both the precoder optimization and the detection complexity, making it suitable for practical applications. Index TermsCondition number, multiple-input multiple-output (MIMO), mutual information, orthogonal frequency division multiplexing (OFDM), precoding, singular value decomposition (SVD). I.

Saif Khan Mohammed; Emanuele Viterbo; Yi Hong; Senior Member; Ananthanarayanan Chockalingam; Senior Member

2010-01-01T23:59:59.000Z

298

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

299

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

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

300

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

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

Note: This page contains sample records for the topic "a9 total inputs" 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

Input to the 2012-2021 Strategic Plan  

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

Related Federal Climate Efforts Related Federal Climate Efforts Input to the 2012-2021 Strategic Plan Print E-mail Engaging Stakeholders The USGCRP is dedicated to engaging stakeholders in strategic planning efforts. Our community outreach activities created a dialogue with our stakeholders through various communication channels, such as opportunities for interagency collaboration, town hall meetings, public presentations and listening sessions. These channels alongside our 60 day public comment period enabled the program to incorporate stakeholder input int the process of drafting this decadal plan. In addition, we welcome input - particularly on the future direction of USGCRP and on the climate information you need and use. Please send your comments to input@usgcrp.gov. Listening Sessions

302

V-192: Symantec Security Information Manager Input Validation Flaws Permit  

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

92: Symantec Security Information Manager Input Validation Flaws 92: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks July 4, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Symantec Security Information Manager PLATFORM: Symantec Security Information Manager Appliance Version 4.7.x and 4.8.0 ABSTRACT: Symantec was notified of multiple security issues impacting the SSIM management console REFERENCE LINKS: SecurityTracker Alert ID: 1028727 Symantec Security Advisory SYM13-006 CVE-2013-1613 CVE-2013-1614 CVE-2013-1615 IMPACT ASSESSMENT: Medium DISCUSSION: The console does not properly filter HTML code from user-supplied input

303

Abandoned Uranium Mines Report to Congress: LM Wants Your Input |  

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

Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input April 11, 2013 - 1:33pm Addthis C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts What does this project do? Goal 4. Optimize the use of land and assets Abandoned Uranium Mines Report to Congress The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder input on an abandoned uranium mines report to Congress. On January 2, 2013, President Obama signed into law the National Defense Authorization Act for Fiscal Year 2013, which requires the Secretary of Energy, in consultation with the Secretary of the U.S Department of the Interior (DOI) and the Administrator

304

,"U.S. Refinery Crude Oil Input Qualities"  

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

,,"(202) 586-8800",,,"7242013 11:46:42 PM" "Back to Contents","Data 1: U.S. Refinery Crude Oil Input Qualities" "Sourcekey","MCRS1US2","MCRAPUS2" "Date","U.S. Sulfur...

305

Speech recognition as a computer graphics input technique (Panel Session)  

Science Conference Proceedings (OSTI)

Richard Rabin Interactive graphics systems typically require intense hands busy/eyes busy and brains busy activity on the part of the system user/operator. Voice input by means of automatic speech recognition equipment, offers major potential ...

Alan R. Strass; Mark Robillard; Sue Schedler; Matthew Peterson / Richard Rabin

1982-07-01T23:59:59.000Z

306

Comparison of wind stress algorithms, datasets and oceanic power input  

E-Print Network (OSTI)

If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

Yuan, Shaoyu

2009-01-01T23:59:59.000Z

307

Constructing Verifiable Random Functions with Large Input Spaces Susan Hohenberger  

E-Print Network (OSTI)

idea is to apply a simulation technique where the large space of VRF inputs is collapsed into a small, the verification should remain secure even if the public commitment were setup in a malicious manner. The VRF

308

On the Energy Input from Wind to Surface Waves  

Science Conference Proceedings (OSTI)

A basic model relating the energy dissipation in the ocean mixed layer to the energy input into the surface wave field is combined with recent measurements of turbulent kinetic energy dissipation to determine the average phase speed of the waves ...

J. R. Gemmrich; T. D. Mudge; V. D. Polonichko

1994-11-01T23:59:59.000Z

309

V-139: Cisco Network Admission Control Input Validation Flaw...  

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

Sensitive Information U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-015: CiscoWorks Common Services Home...

310

Eclat : automatic generation and classification of test inputs  

E-Print Network (OSTI)

This thesis describes a technique that selects, from a large set of test inputs, a small subset likely to reveal faults in the software under test. The technique takes a program or software component, plus a set of correct ...

Pacheco, Carlos, S.M. Massachusetts Institute of Technology

2005-01-01T23:59:59.000Z

311

IMPACT OF HIGH-INPUT PRODUCTION PRACTICES ON SOYBEAN YIELD.  

E-Print Network (OSTI)

??High-input management practices are often heavily marketed to producers to increase soybean [Glycine max (L) Merr.] yield in already high-yielding environments. Field research was conducted (more)

Jordan, Daniel L.

2010-01-01T23:59:59.000Z

312

T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits  

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

3: Symantec Endpoint Protection Manager Input Validation Hole 3: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks August 15, 2011 - 3:42pm Addthis PROBLEM: Two vulnerabilities were reported in Symantec Endpoint Protection Manager. A remote user can conduct cross-site scripting attacks. A remote user can conduct cross-site request forgery attacks. PLATFORM: Version(s): 11.0 RU6(11.0.600x), 11.0 RU6-MP1(11.0.6100), 11.0 RU6-MP2(11.0.6200), 11.0 RU6-MP3(11.0.6300) ABSTRACT: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks. reference LINKS:

313

Indiana, Illinois, Kentucky Refinery District Gross Inputs to ...  

U.S. Energy Information Administration (EIA)

Indiana, Illinois, Kentucky Refinery District Gross Inputs to Refineries (Thousand Barrels per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1985: 1,739 ...

314

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

315

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

316

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

317

Data:5a9ba39d-0a20-4565-8d1d-a9ca2aa53655 | Open Energy Information  

Open Energy Info (EERE)

9d-0a20-4565-8d1d-a9ca2aa53655 9d-0a20-4565-8d1d-a9ca2aa53655 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Mitchell Electric Member Corp Effective date: 2009/01/01 End date if known: Rate name: SCHEDULE I-14 IRRIGATION SERVICE SINGLE PHASE OVER 30KVA Sector: Commercial Description: AVAILABILITY Available to consumers for single-phase service in all territory served by the Cooperative. Multi-phase service is available only to consumers located on or near the Cooperative's multi-phase lines of adequate capacity. All service is made available subject to the Cooperative's established Service Rules and Regulations.

318

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

319

Data:37549466-45e9-4eb4-8018-8868c84715a9 | Open Energy Information  

Open Energy Info (EERE)

49466-45e9-4eb4-8018-8868c84715a9 49466-45e9-4eb4-8018-8868c84715a9 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Roosevelt County Elec Coop Inc Effective date: 2013/02/21 End date if known: Rate name: Renewable Energy Rider 500 kWh block Sector: Description: This rate is purchased in blocks of 500kwh for a total block charge of $10.50 Source or reference: http://www.rcec.coopwebbuilder.com/content/consumer-rates Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V):

320

Table A12. Selected Combustible Inputs of Energy for Heat, Power, and  

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

Type" Type" " and End Use, 1994: Part 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,"Residual","Distillate",,,"(excluding","RSE" "SIC",,"Net Demand","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code(a)","End-Use Categories","for Electricity(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.5,1.4,1.4,0.8,1.2,1.2 ,"TOTAL INPUTS",3132,441,152,6141,99,1198,2.4

Note: This page contains sample records for the topic "a9 total inputs" 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

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

In this thesis I study combinatorial aspects of an emerging field known as total positivity. The classical theory of total positivity concerns matrices in which all minors are nonnegative. While this theory was pioneered ...

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

322

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

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

323

Possible Magmatic Input to the Dixie Valley Geothermal Field, and  

Open Energy Info (EERE)

Possible Magmatic Input to the Dixie Valley Geothermal Field, and Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Abstract Magnetotelluric (MT) profiling in northwestern Nevadais used to test hypotheses on the main sources of heat andhydrothermal fluid for the Dixie Valley-Central NevadaSeismic Belt area. The transect reveals families of resistivitystructures commonly dominated by steeply-dipping features,some of which may be of key geothermal significance. Mostnotably, 2-D inversion

324

DOE Seeks Input On Addressing Contractor Pension and Medical Benefits  

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

Input On Addressing Contractor Pension and Medical Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor employee pension and medical benefits. Under the Department of Energy's unique Management and Operating and other site management contracts, DOE reimburses its contractors for allowable costs incurred in providing contractor employee pension and medical benefits to current employees and retirees. In FY2006, these costs reached approximately $1.1 billion - a more than 226 percent increase since FY2000 - and are expected to grow in future years.

325

Incorporating uncertainty in RADTRAN 6.0 input files.  

SciTech Connect

Uncertainty may be introduced into RADTRAN analyses by distributing input parameters. The MELCOR Uncertainty Engine (Gauntt and Erickson, 2004) has been adapted for use in RADTRAN to determine the parameter shape and minimum and maximum of the distribution, to sample on the distribution, and to create an appropriate RADTRAN batch file. Coupling input parameters is not possible in this initial application. It is recommended that the analyst be very familiar with RADTRAN and able to edit or create a RADTRAN input file using a text editor before implementing the RADTRAN Uncertainty Analysis Module. Installation of the MELCOR Uncertainty Engine is required for incorporation of uncertainty into RADTRAN. Gauntt and Erickson (2004) provides installation instructions as well as a description and user guide for the uncertainty engine.

Dennis, Matthew L.; Weiner, Ruth F.; Heames, Terence John (Alion Science and Technology)

2010-02-01T23:59:59.000Z

326

Optical device with conical input and output prism faces  

DOE Patents (OSTI)

A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

Brunsden, Barry S. (Chicago, IL)

1981-01-01T23:59:59.000Z

327

Total correlations and mutual information  

E-Print Network (OSTI)

In quantum information theory it is generally accepted that quantum mutual information is an information-theoretic measure of total correlations of a bipartite quantum state. We argue that there exist quantum states for which quantum mutual information cannot be considered as a measure of total correlations. Moreover, for these states we propose a different way of quantifying total correlations.

Zbigniew Walczak

2008-06-30T23:59:59.000Z

328

Table 3. U.S. Inputs to Biodiesel Production  

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

U.S. Inputs to Biodiesel Production U.S. Inputs to Biodiesel Production (million pounds) 2011 January 8 17 - W 150 W 14 11 February 26 13 - W 150 W 14 11 March 68 14 - W 190 W 19 27 April 88 20 - W 236 W 15 47 May 113 21 - W 264 W 16 36 June 75 34 - W 311 W 23 49 July 77 35 - W 367 W 26 64 August 84 37 W W 398 W 34 38 September 84 27 W W 430 W

329

Environmental issues of material input in CDTE-module manufacturing  

DOE Green Energy (OSTI)

The goal of a low-cost and high-volume photovoltaic (PV) module fabrication demands an optimized process sequence to guarantee product quality and module stability on a long-term basis. Nevertheless, large-scale module manufacturing uses several input and auxiliary materials and generates waste from processing output materials. The mining and refining of the PV manufacturing material consumes input and auxiliary material and also creates waste. Therefore, investigations into these materials were conducted with respect to their risk potential for environment and health.

Steinberger, H.; Hochwimmer, R.; Schmid, H. [Fraunhofer Inst. fuer Festkoerpertechnologie, Muenchen (Germany); Thumm, W.; Kettrup, A. [GSF, Oberschleissheim (Germany). Inst. fuer Oekologische Chemie; Moskowitz, P. [Brookhaven National Lab., Upton, NY (United States). Biomedical and Environmental Assessment Group

1995-12-31T23:59:59.000Z

330

Electricity Regulation in California and Input Market Distortions  

E-Print Network (OSTI)

We provide an analysis of the soft price cap regulation that occurred in Californias electricity market between December 2000 and June 2001. We demonstrate the incentive it created to distort the prices of electricity inputs. After introducing a theoretical model of the incentive, we present empirical data from two important input markets: pollution emissions permits and natural gas. We find substantial evidence that generators manipulated these costs in a way that allowed them to justify bids in excess of the price cap and earn higher rents than they could otherwise. Our analysis suggests that the potential benefits of soft price cap regulation were likely undone by such behavior. 1

Mark R. Jacobsen; Azeem M. Shaikh

2004-01-01T23:59:59.000Z

331

Data:A661a9de-9487-41c7-a9ef-c7793287f2a1 | Open Energy Information  

Open Energy Info (EERE)

de-9487-41c7-a9ef-c7793287f2a1 de-9487-41c7-a9ef-c7793287f2a1 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Wake Electric Membership Corp Effective date: 2013/07/01 End date if known: Rate name: Small General Service Three Phase Sector: Commercial Description: AVAILABILITY Available in all territory served by the Cooperative, subject to the established Service Rules and Regulations of the Cooperative. APPLICABILITY This schedule is applicable to all non-residential service where measured kW demand is 50 kW or less, excluding seasonal accounts. When the metered kW demand exceeds 50 kW three consecutive months, the service will be transferred to the LGS rate.

332

Data:19a9ca48-9216-4ec4-a384-cc1a9f1f56a0 | Open Energy Information  

Open Energy Info (EERE)

8-9216-4ec4-a384-cc1a9f1f56a0 8-9216-4ec4-a384-cc1a9f1f56a0 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: PUD No 1 of Cowlitz County Effective date: 2011/11/01 End date if known: Rate name: PRIVATE STREET AND AREA LIGHTING SCHEDULE 10 Sodium Vapor 100 watts Sector: Lighting Description: Applicable to street, roadway, and area lighting for residential and commercial property. SPECIAL CONDITIONS All lighting equipment, including mast arms, brackets, control equipment, transformers, wiring and supports, shall be owned, operated and maintained by the District. For new installations which do not utilize an existing District-owned pole and require the setting of a new pole for the light, the customer shall pay in advance $300 as an Aid-to- Construction. The District will require a Special Contract for service hereunder for a term of not less than sixty (60) consecutive months reflecting monthly payments computed in accordance with this Rate Schedule as it may be amended or superseded.

333

The Net Effect of Exchange Rates on Agricultural Inputs and Outputs  

E-Print Network (OSTI)

For more than thirty years, studies about the effect of the exchange rate on exports have been conducted. However, few have considered the combined effect of the exchange rate on imported inputs into the agricultural system and the exports of final agricultural products those inputs produce. This work contributes to the agricultural economics literature by combining those effects. A current concern is for the net effect as the total value and quantity of inputs imported has increased. This research examines the effect of the exchange rate on imported inputs into the corn, wheat, and beef cattle production systems, breaking it down to a producer's budget, examining how the exchange rate affects profitability. Vector Autoregression (VAR) and Bayesian Averaging of Classical Estimates (BACE) models were estimated to evaluate the effects. Daily and weekly price data were used for corn, wheat, feeder steers, ethanol, diesel, ammonia, urea, di-ammonium phosphate, and the exchange rate. A VAR model was estimated to model the relationship between the variables. After having incongruous test results in determining the lag length structure it was decided that a BACE model would be approximated. After estimating the BACE model, the price responses of the commodities to the exchange rates were estimated. The price responses were used in demonstrating the effect of the exchange rate on a producer's profitability. It was determined that, generally, a strengthening exchange rate has a negative impact on prices. It was also found that the exchange rate has a greater impact on prices now than it did 14 years ago, implying that the exchange rate now has a greater affect on profitability. A one percent increase in the value of the dollar led to a decline in profitability ranging from $0.02/bu in wheat to $0.56/cwt in feeder steers. However, agricultural producers should not be overly concerned about a lower valued dollar from the perspective of their agricultural business.

Johnson, Myriah D.

2011-08-01T23:59:59.000Z

334

Total....................................................................................  

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

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

335

Total...................................................................  

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

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

336

Total...............................................................  

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

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

337

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

338

Total...............................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

339

Total...............................................................  

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

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

340

Total................................................................  

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

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

Note: This page contains sample records for the topic "a9 total inputs" 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

Total...........................................................  

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

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

342

Total........................................................................  

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

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

343

Total...........................................................................  

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

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

344

Total.......................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

345

Total....................................................................................  

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

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

346

Total........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

347

Total........................................................................  

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

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

348

Total.................................................................  

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

349

Total........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

350

Total........................................................................  

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

351

Total...........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

352

Total...........................................................  

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

353

Total....................................................................................  

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

354

Total..............................................................  

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

355

Total.........................................................................................  

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

356

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

357

Total..............................................................................  

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

358

Total....................................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

359

Total....................................................................................  

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

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

360

Total....................................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

Note: This page contains sample records for the topic "a9 total inputs" 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

Total..................................................................  

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

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................

362

Total....................................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week..................................................... 3.9 1.7 0.6 0.9 0.8 Less Than Once a Week.............................................. 4.1 2.2 0.6 0.8 0.5 No Hot Meals Cooked................................................... 0.9 0.4 Q Q Q Conventional Oven Use an Oven................................................................. 109.6 46.2 18.8

363

Total...................................................................  

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

Single-Family Units Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business

364

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat Pump............................................. 53.5 16.2 10.6 5.6 With a Heat Pump................................................. 12.3 1.1 0.8 0.4 Window/Wall Units.................................................. 28.9 6.6 4.9 1.7 1 Unit..................................................................... 14.5 4.1 2.9 1.2 2 Units...................................................................

365

Total..............................................................................  

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

20.6 20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump.............................................. 53.5 5.5 16.2 23.2 8.7 With a Heat Pump................................................... 12.3 0.5 1.1 9.0 1.7 Window/Wall Units..................................................... 28.9 10.7 6.6 8.0 3.6 1 Unit......................................................................

366

Total..........................................................  

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

60,000 to 79,999 80,000 or More Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

367

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Usage Indicators by U.S. Census Region, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators U.S. Census Region Northeast Midwest South West Energy Information...

368

Total..........................................................  

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.7...

369

Total..........................................................  

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC4.7...

370

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Self-Reported) City Town Suburbs Rural Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC8.7...

371

Total..........................................................  

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

East North Central West North Central Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

372

Total..........................................................  

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

U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005 Housing Units (millions) Energy Information...

373

Total..........................................................  

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

U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information...

374

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

7.0 7.7 6.6 Have Equipment But Do Not Use it... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System......

375

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Air-Conditioning Equipment 1, 2 Central System... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump... 53.5...

376

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it... 1.9 Q Q Q Air-Conditioning Equipment 1, 2 Central System......

377

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

18.0 Have Equipment But Do Not Use it... 1.9 0.9 0.3 0.3 0.4 Air-Conditioning Equipment 1, 2 Central System......

378

Total..........................................................  

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

m... 3.2 0.2 Q 0.1 Telephone and Office Equipment CellMobile Telephone... 84.8 14.9 11.1 3.9 Cordless...

379

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

m... 3.2 0.9 0.7 Q Telephone and Office Equipment CellMobile Telephone... 84.8 19.3 13.2 6.1 Cordless...

380

Total..........................................................  

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

Q 0.5 Q Q Monitor is Turned Off... 0.5 N Q Q Q Q N Q Use of Internet Have Access to Internet Yes... 66.9...

Note: This page contains sample records for the topic "a9 total inputs" 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

Total..........................................................  

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

Four Most Populated States New York Florida Texas California Million U.S. Housing Units Home Electronics Usage Indicators Table HC15.12 Home Electronics Usage Indicators by Four...

382

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

383

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

384

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer ... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer......

385

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

... 25.8 2.8 5.8 5.5 3.8 7.9 1.4 5.1 Use of Most-Used Ceiling Fan Used All Summer... 18.7 4.2 4.9 4.1 2.1 3.4 2.4 6.3...

386

Total..........................................................  

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

Heating Characteristics Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC5.4 Space Heating...

387

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

at All... 2.9 1.1 0.5 Q 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

388

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

3.3 Not Used at All... 2.9 0.7 0.5 Q Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

389

Total..........................................................  

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

3.6 Not Used at All... 2.9 0.8 0.3 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

390

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

1.1 Not Used at All... 2.9 0.4 Q 0.2 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

391

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

at All... 2.9 1.4 0.4 0.4 0.7 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

392

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business Yes......

393

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

... 34.3 1.2 0.9 2.2 2.9 5.4 7.0 8.2 6.6 Adequacy of Insulation Well Insulated... 29.5 1.5 0.9 2.3 2.7 4.1...

394

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

395

Total...............................................................  

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

396

Total........................................................  

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

397

Total...............................................................  

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

398

Total.................................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

399

Total..................................................................  

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

400

Total..............................................  

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

Note: This page contains sample records for the topic "a9 total inputs" 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

Total.................................................................................  

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

402

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

403

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

404

Total..................................................................  

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

405

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

406

Total........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

407

Total..............................................................  

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

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

408

A toolbox for calculating net anthropogenic nitrogen inputs (NANI)  

Science Conference Proceedings (OSTI)

The ''Net Anthropogenic Nitrogen Input'' (NANI) to a region represents an estimate of anthropogenic net nitrogen (N) fluxes across its boundaries, and is thus a measure of the effect of human activity on the regional nitrogen cycle. NANI accounts for ... Keywords: Anthropogenic, Nitrogen, Synthesis, Toolbox, Watershed

Bongghi Hong; Dennis P. Swaney; Robert W. Howarth

2011-05-01T23:59:59.000Z

409

Idle Operating Total Stream Day  

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

3 3 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 11 10 1 1,293,200 1,265,200 28,000 1,361,700 1,329,700 32,000 ............................................................................................................................................... PAD District I 1 1 0 182,200 182,200 0 190,200 190,200 0 ................................................................................................................................................................................................................................................................................................ Delaware......................................

410

China Total Cloud Amount Trends  

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

Trends in Total Cloud Amount Over China DOI: 10.3334CDIACcli.008 data Data image Graphics Investigator Dale P. Kaiser Carbon Dioxide Information Analysis Center, Environmental...

411

total energy | OpenEI  

Open Energy Info (EERE)

total energy total energy Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

412

PERSPECTIVES ON A DOE CONSEQUENCE INPUTS FOR ACCIDENT ANALYSIS APPLICATIONS  

Science Conference Proceedings (OSTI)

Department of Energy (DOE) accident analysis for establishing the required control sets for nuclear facility safety applies a series of simplifying, reasonably conservative assumptions regarding inputs and methodologies for quantifying dose consequences. Most of the analytical practices are conservative, have a technical basis, and are based on regulatory precedent. However, others are judgmental and based on older understanding of phenomenology. The latter type of practices can be found in modeling hypothetical releases into the atmosphere and the subsequent exposure. Often the judgments applied are not based on current technical understanding but on work that has been superseded. The objective of this paper is to review the technical basis for the major inputs and assumptions in the quantification of consequence estimates supporting DOE accident analysis, and to identify those that could be reassessed in light of current understanding of atmospheric dispersion and radiological exposure. Inputs and assumptions of interest include: Meteorological data basis; Breathing rate; and Inhalation dose conversion factor. A simple dose calculation is provided to show the relative difference achieved by improving the technical bases.

(NOEMAIL), K; Jonathan Lowrie, J; David Thoman (NOEMAIL), D; Austin Keller (NOEMAIL), A

2008-07-30T23:59:59.000Z

413

Data:B1cd71e1-6fca-493a-9e7d-63708d69e336 | Open Energy Information  

Open Energy Info (EERE)

cd71e1-6fca-493a-9e7d-63708d69e336 cd71e1-6fca-493a-9e7d-63708d69e336 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Town of Reading, Massachusetts (Utility Company) Effective date: 2011/05/01 End date if known: Rate name: Residential Time-of-Use Controlled Water Heater Sector: Residential Description: Additional Info: Applicable to: Individual residential customers for all domestic uses where service is taken through one On-Peak and Off-Peak meter. Incidental commercial use, not exceeding 20% of the total energy used on the same premises is permitted. The following charges/adjustments apply:

414

Data:32435ebe-89ec-4506-a9af-0575162b3925 | Open Energy Information  

Open Energy Info (EERE)

ebe-89ec-4506-a9af-0575162b3925 ebe-89ec-4506-a9af-0575162b3925 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Village of Pardeeville, Wisconsin (Utility Company) Effective date: 2007/10/10 End date if known: Rate name: Gs-1 General Service Single Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0680 per kilowatt-hour.

415

PADD 3 Downstream Processing of Fresh Feed Input  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum ...

416

API Gravity, Weighted Average Refinery Crude Oil Input ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal ...

417

Sulfur Content, Weighted Average Refinery Crude Oil Input ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal ...

418

Catalytic Cracking Downstream Processing of Fresh Feed Input  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum ...

419

Gross Input to Atmospheric Crude Oil Distillation Units  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum ...

420

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports...

Note: This page contains sample records for the topic "a9 total inputs" 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

Current mode instrumentation amplifier with rail-to-rail input and output  

Science Conference Proceedings (OSTI)

A Current Mode Instrumentation Amplifier with rail-to-rail input and output is presented. It is based on constant gm input stages, and cascode output stages. Although this CMIA structure has a good Input Common Mode Voltage, it suffers from a poor output ... Keywords: analog integrated circuits, current mode instrumentation amplifier, rail-to-rail input and output

Filipe Costa Beber Vieira; Cesar Augusto Prior; Cesar Ramos Rodrigues; Leonardo Perin; Joao Baptista dos Santos Martins

2007-09-01T23:59:59.000Z

422

Characterization of industrial process waste heat and input heat streams  

SciTech Connect

The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

1984-05-01T23:59:59.000Z

423

ELIMINATING CONSERVATISM IN THE PIPING SYSTEM ANALYSIS PROCESS THROUGH APPLICATION OF A SUITE OF LOCALLY APPROPRIATE SEISMIC INPUT MOTIONS  

SciTech Connect

Seismic analysis is of great importance in the evaluation of nuclear systems due to the heavy influence such loading has on their designs. Current Department of Energy seismic analysis techniques for a nuclear safety-related piping system typically involve application of a single conservative seismic input applied to the entire system [1]. A significant portion of this conservatism comes from the need to address the overlapping uncertainties in the seismic input and in the building response that transmits that input motion to the piping system. The approach presented in this paper addresses these two sources of uncertainty through the application of a suite of 32 input motions whose collective performance addresses the total uncertainty while each individual motion represents a single variation of it. It represents an extension of the soil-structure interaction analysis methodology of SEI/ASCE 43-05 [2] from the structure to individual piping components. Because this approach is computationally intensive, automation and other measures have been developed to make such an analysis efficient. These measures are detailed in this paper.

Anthony L. Crawford; Robert E. Spears, Ph.D.; Mark J. Russell

2009-07-01T23:59:59.000Z

424

Residential oil burners with low input and two stages firing  

SciTech Connect

The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

Butcher, T.; Krajewski, R.; Leigh, R. [and others

1997-12-31T23:59:59.000Z

425

Design of the spoke cavity ED&D input coupler.  

DOE Green Energy (OSTI)

The current design of the Accelerator Driven Test Facility (ADTF) accelerator contains multiple {beta}, superconducting, resonant cavities. Spoke-type resonators ({beta} = 0.175 and {beta} = 0.34) are proposed for the low energy linac immediately following the radio frequency quadrupole. A continuous wave power requirement of 8.5 - 211.8 kW, 350 MHz has been established for the input couplers of these spoke cavities. The coupler design approach was to have a single input coupler design for beam currents of 13.3 mA and 100 mA and both cavity {beta}'s. The baseline design consists of a half-height WR2300 waveguide section merged with a shorted coaxial conductor. At the transition is a 4.8-mm thick cylindrical ceramic window creating the air/vacuum barrier. The coax is 103-mm inner diameter, 75 Ohm. The coax extends from the short through the waveguide and terminates with an antenna tip in the sidewall of the cavity. A full diameter pumping port is located in the quarter-wave stub to facilitate good vacuum. The coaxial geometry chosen was based on multipacting and thermal design considerations. The coupling coefficient is adjusted by statically adjusting the outer conductor length. The RF-physics, thermal, vacuum, and structural design considerations will be discussed in this paper, in addition to future room temperature testing plans.

Schmierer, E. N. (Eric N.); Chan, K. D. (Kwok-Chi D.); Gentzlinger, R.C. (Robert C.); Haynes, W. B. (William B.); Krawczyk, F. L. (Frank L.); Montoya, D. I. (Debbie I.); Roybal, P. L. (Phillip L.); Schrage, D. L. (Dale L.); Tajima, T. (Tsuyoshi)

2001-01-01T23:59:59.000Z

426

Optimizing Input Data for Gridding Climate Normals for Canada  

Science Conference Proceedings (OSTI)

Spatial models of 19712000 monthly climate normals for daily maximum and minimum temperature and total precipitation are required for many applications. The World Meteorological Organizations recommended standard for the calculation of a normal ...

Ron F. Hopkinson; Michael F. Hutchinson; Daniel W. McKenney; Ewa J. Milewska; Pia Papadopol

2012-08-01T23:59:59.000Z

427

US Nuclear Regulatory Commission Input to DOE Request for Information Smart  

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

US Nuclear Regulatory Commission Input to DOE Request for US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input More Documents & Publications Comments of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Reply Comments of Entergy Services, Inc. Progress Energy draft regarding Smart Grid RFI: Addressing Policy and

428

Compact Totally Disconnected Moufang Buildings  

E-Print Network (OSTI)

Let $\\Delta$ be a spherical building each of whose irreducible components is infinite, has rank at least 2 and satisfies the Moufang condition. We show that $\\Delta$ can be given the structure of a topological building that is compact and totally disconnected precisely when $\\Delta$ is the building at infinity of a locally finite affine building.

Grundhofer, T; Van Maldeghem, H; Weiss, R M

2010-01-01T23:59:59.000Z

429

Total Imports of Residual Fuel  

Annual Energy Outlook 2012 (EIA)

2007 2008 2009 2010 2011 2012 View History U.S. Total 135,676 127,682 120,936 133,646 119,888 93,672 1936-2012 PAD District 1 78,197 73,348 69,886 88,999 79,188 59,594 1981-2012...

430

MULTIPLE INPUT BINARY ADDER EMPLOYING MAGNETIC DRUM DIGITAL COMPUTING APPARATUS  

DOE Patents (OSTI)

A digital computing apparatus is described for adding a plurality of multi-digit binary numbers. The apparatus comprises a rotating magnetic drum, a recording head, first and second reading heads disposed adjacent to the first and second recording tracks, and a series of timing signals recorded on the first track. A series of N groups of digit-representing signals is delivered to the recording head at time intervals corresponding to the timing signals, each group consisting of digits of the same significance in the numbers, and the signal series is recorded on the second track of the drum in synchronism with the timing signals on the first track. The multistage registers are stepped cyclically through all positions, and each of the multistage registers is coupled to the control lead of a separate gate circuit to open the corresponding gate at only one selected position in each cycle. One of the gates has its input coupled to the bistable element to receive the sum digit, and the output lead of this gate is coupled to the recording device. The inputs of the other gates receive the digits to be added from the second reading head, and the outputs of these gates are coupled to the adding register. A phase-setting pulse source is connected to each of the multistage registers individually to step the multistage registers to different initial positions in the cycle, and the phase-setting pulse source is actuated each N time interval to shift a sum digit to the bistable element, where the multistage register coupled to bistable element is operated by the phase- setting pulse source to that position in its cycle N steps before opening the first gate, so that this gate opens in synchronism with each of the shifts to pass the sum digits to the recording head.

Cooke-Yarborough, E.H.

1960-12-01T23:59:59.000Z

431

Buildings","Total  

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

L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",61707,58693,49779,6496,37150,3058,5343,1913 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6750,5836,4878,757,3838,231,109,162 "5,001 to 10,000 ..............",7940,7166,5369,1044,4073,288,160,109 "10,001 to 25,000 .............",10534,9773,7783,1312,5712,358,633,232

432

Performance Period Total Fee Paid  

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

Period Period Total Fee Paid 4/29/2012 - 9/30/2012 $418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014 $0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016 $0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period: $116,769,139 November 2011 - September 2016 $475,395 $0 Fee Information Total Estimated Contract Cost $1,141,623 $1,140,948 $1,140,948 $5,039,862 $1,140,948 Maximum Fee $5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

433

Buildings","Total  

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

L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings*",54068,51570,45773,6746,34910,1161,3725,779 "Building Floorspace" "(Square Feet)" "1,001 to 5,000",6272,5718,4824,986,3767,50,22,54 "5,001 to 10,000",7299,6667,5728,1240,4341,61,169,45 "10,001 to 25,000",10829,10350,8544,1495,6442,154,553,"Q"

434

ARM - Measurement - Total cloud water  

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

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

435

Buildings","Total  

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

L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",64783,62060,51342,5556,37918,4004,4950,2403 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,6038,4826,678,3932,206,76,124 "5,001 to 10,000 ..............",6585,6090,4974,739,3829,192,238,248 "10,001 to 25,000 .............",11535,11229,8618,1197,6525,454,506,289

436

V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...  

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

8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

437

T-602: BlackBerry Enterprise Server Input Validation Flaw in...  

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

02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

438

V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...  

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

4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

439

U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet...  

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

Input Supplemental Fuels (Million Cubic Feet) U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

440

Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results  

Science Conference Proceedings (OSTI)

A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beliefs about previous input. Under some circumstances, such an error-correction ...

Roger Levy

2011-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "a9 total inputs" 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

U-270:Trend Micro Control Manager Input Validation Flaw in Ad...  

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

0:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc...

442

A CMOS Voltage Comparator with Rail-to-Rail Input-Range  

Science Conference Proceedings (OSTI)

A simple new continuous-time CMOS comparator circuit with rail-to-rail input common-mode range and rail-to-rail output is presented. This design uses parallel complementary decision paths to accommodate power-supply-valued inputs. The 2 decision results ... Keywords: CMOS continuous-time voltage comparator, rail-to-rail input range

Wei-Shang Chu; K. Wayne Current

1999-05-01T23:59:59.000Z

443

Total Adjusted Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

444

Solar total energy project Shenandoah  

DOE Green Energy (OSTI)

This document presents the description of the final design for the Solar Total Energy System (STES) to be installed at the Shenandoah, Georgia, site for utilization by the Bleyle knitwear plant. The system is a fully cascaded total energy system design featuring high temperature paraboloidal dish solar collectors with a 235 concentration ratio, a steam Rankine cycle power conversion system capable of supplying 100 to 400 kW(e) output with an intermediate process steam take-off point, and a back pressure condenser for heating and cooling. The design also includes an integrated control system employing the supervisory control concept to allow maximum experimental flexibility. The system design criteria and requirements are presented including the performance criteria and operating requirements, environmental conditions of operation; interface requirements with the Bleyle plant and the Georgia Power Company lines; maintenance, reliability, and testing requirements; health and safety requirements; and other applicable ordinances and codes. The major subsystems of the STES are described including the Solar Collection Subysystem (SCS), the Power Conversion Subsystem (PCS), the Thermal Utilization Subsystem (TUS), the Control and Instrumentation Subsystem (CAIS), and the Electrical Subsystem (ES). Each of these sections include design criteria and operational requirements specific to the subsystem, including interface requirements with the other subsystems, maintenance and reliability requirements, and testing and acceptance criteria. (WHK)

None

1980-01-10T23:59:59.000Z

445

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

446

Gross Input to Atmospheric Crude Oil Distillation Units  

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

Day) Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 15,283 15,709 16,327 16,490 16,306 16,162 1985-2013 PADD 1 1,134 1,188 1,178 1,142 1,122 1,130 1985-2013 East Coast 1,077 1,103 1,080 1,058 1,031 1,032 1985-2013 Appalachian No. 1 57 85 98 84 90 97 1985-2013 PADD 2 3,151 3,087 3,336 3,572 3,538 3,420 1985-2013 Ind., Ill. and Ky. 2,044 1,947 2,069 2,299 2,330 2,266 1985-2013

447

,"U.S. Blender Net Input"  

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

Monthly","9/2013","1/15/2005" Monthly","9/2013","1/15/2005" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt3_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt3_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:22:43 AM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRB_NUS_1","M_EPL0_YIB_NUS_MBBL","MPPRB_NUS_1","M_EPLL_YIB_NUS_MBBL","MBNRB_NUS_1","MBIRB_NUS_1","M_EPOL_YIB_NUS_MBBL","M_EPOOXR_YIB_NUS_MBBL","MMTRB_NUS_1","M_EPOOR_YIB_NUS_MBBL","MFERB_NUS_1","M_EPOORD_YIB_NUS_MBBL","M_EPOORO_YIB_NUS_MBBL","M_EPPU_YIB_NUS_MBBL","M_EPOUN_YIB_NUS_MBBL","M_EPOUK_YIB_NUS_MBBL","M_EPOUH_YIB_NUS_MBBL","M_EPOUR_YIB_NUS_MBBL","MBCRB_NUS_1","MO1RB_NUS_1","M_EPOBGRR_YIB_NUS_MBBL","MO3RB_NUS_1","MO4RB_NUS_1","MO2RB_NUS_1","MO5RB_NUS_1","MO6RB_NUS_1","MO7RB_NUS_1","MO9RB_NUS_1"

448

Interface module for transverse energy input to dye laser modules  

SciTech Connect

An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

English, Jr., Ronald E. (Tracy, CA); Johnson, Steve A. (Tracy, CA)

1994-01-01T23:59:59.000Z

449

Interface module for transverse energy input to dye laser modules  

DOE Patents (OSTI)

An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

English, R.E. Jr.; Johnson, S.A.

1994-10-11T23:59:59.000Z

450

KEPLER INPUT CATALOG: PHOTOMETRIC CALIBRATION AND STELLAR CLASSIFICATION  

Science Conference Proceedings (OSTI)

We describe the photometric calibration and stellar classification methods used by the Stellar Classification Project to produce the Kepler Input Catalog (KIC). The KIC is a catalog containing photometric and physical data for sources in the Kepler mission field of view; it is used by the mission to select optimal targets. Four of the visible-light (g, r, i, z) magnitudes used in the KIC are tied to Sloan Digital Sky Survey magnitudes; the fifth (D51) is an AB magnitude calibrated to be consistent with Castelli and Kurucz (CK) model atmosphere fluxes. We derived atmospheric extinction corrections from hourly observations of secondary standard fields within the Kepler field of view. For these filters and extinction estimates, repeatability of absolute photometry for stars brighter than magnitude 15 is typically 2%. We estimated stellar parameters {l_brace}T{sub eff}, log (g), log (Z), E{sub B-V}{r_brace} using Bayesian posterior probability maximization to match observed colors to CK stellar atmosphere models. We applied Bayesian priors describing the distribution of solar-neighborhood stars in the color-magnitude diagram, in log (Z), and in height above the galactic plane. Several comparisons with samples of stars classified by other means indicate that for 4500 K {data archive.

Brown, Timothy M. [Las Cumbres Observatory Global Telescope, Goleta, CA 93117 (United States); Latham, David W.; Esquerdo, Gilbert A. [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138 (United States); Everett, Mark E., E-mail: tbrown@lcogt.net, E-mail: latham@cfa.harvard.edu, E-mail: gesquerd@cfa.harvard.edu, E-mail: everett@noao.edu [National Optical Astronomy Observatories, Tucson, AZ 85721 (United States)

2011-10-15T23:59:59.000Z

451

Energy Input and Mass Redistribution by Supernovae in the Interstellar Medium  

E-Print Network (OSTI)

We present the results of numerical studies of supernova remnant evolution and their effects on galactic and globular cluster evolution. We show that parameters such as the density and the metallicity of the environment significantly influence the evolution of the remnant, and thus change its effects on the global environment (e.g., globular clusters, galaxies) as a source of thermal and kinetic energy. We conducted our studies using a one-dimensional hydrodynamics code, in which we implemented a metallicity dependent cooling function. Global time-dependent quantities such as the total kinetic and thermal energies and the radial extent are calculated for a grid of parameter sets. The quantities calculated are the total energy, the kinetic energy, the thermal energy, the radial extent, and the mass. We distinguished between the hot, rarefied bubble and the cold, dense shell, as those two phases are distinct in their roles in a gas-stellar system. We also present power-law fits to those quantities as a function of environmental parameters after the extensive cooling has ceased. The power-law fits enable simple incorporation of improved supernova energy input and matter redistribution (including the effect of the local conditions) in galactic/globular cluster models. Our results for the energetics of supernova remnants in the late stages of their expansion give total energies ranging from 9e49 to 3e50 ergs, with a typical case being 1e50 erg, depending on the surrounding environment. About 8.5e49 erg of this energy can be found in the form of kinetic energy. Supernovae play an important role in the evolution of the interstellar medium

Katsuyo Thornton; Michael Gaudlitz; Hans-Thomas Janka; Matthias Steinmetz

1997-06-17T23:59:59.000Z

452

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

453

Proper input phase-space filling for accurate beam-dynamics codes  

Science Conference Proceedings (OSTI)

In the future, more attention will be required concerning the filling of the input phase space used by particle-simulation codes. The prospect of greatly improved particle-tracking codes implies that code input distributions must be accurate models of real input distributions. Much of present simulation work is done using artificial phase-space distributions (K-V, waterbag, etc.). Real beams can differ dramatically from such ideal input. We have already developed a method for deriving code input distributions from measurements. This paper addresses the problem of determining the number of pseudoparticles needed to model the measured distribution properly.

Boicourt, G.P.; Vasquez, M.C.

1986-01-01T23:59:59.000Z

454

Total quality management implementation guidelines  

SciTech Connect

These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

Not Available

1993-12-01T23:59:59.000Z

455

On the Value of Input-Efficiency, Capacity-Efficiency, and the Flexibility to Rebalance Them  

E-Print Network (OSTI)

Abstract: A common characteristic of basic material manufacturers (which account for 85 % of all industrial energy use) and of cleantech manufacturers is that they are price-takers in their input and output markets. Variability in those prices has implications for how much a manufacturer should invest in three fundamental types of process improvement. Input price variability reduces the value of improving input-efficiency (output produced per unit input) but increases that of capacityefficiency (the rate at which a production facility can convert input into output). Output price variability increases the value of capacity-efficiency, but it increases the value of input-efficiency if and only if the expected margin is small. Moreover, as the expected input cost rises, the value of input-efficiency decreases. A third type of process improvement is to develop flexibility in inputefficiency versus capacity-efficiency (the ability to respond to a rise in input cost or fall in output price by increasing input-efficiency at the expense of capacity-efficiency). The value of this flexibility decreases with variability in input and output prices, if and only if the expected margin is thin. Together, these results suggest that a carbon tax or cap-and-trade system may reduce investment by basic material manufacturers in improving energy-efficiency.

Erica L. Plambeck; Terry A. Taylor

2013-01-01T23:59:59.000Z

456

U-001:Symantec IM Manager Input Validation Flaws | Department of Energy  

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

U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws October 3, 2011 - 12:45pm Addthis PROBLEM: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. PLATFORM: Version(s): prior to 8.4.18 ABSTRACT: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. reference LINKS: Security Advisory: SYM11-012 SecurityTracker Alert ID: 1026130 IMPACT ASSESSMENT: Medium Discussion: Several vulnerabilities were reported in Symantec IM Manager. A remote user can conduct cross-site scripting attacks. A remote user can inject SQL commands. Several scripts do not properly filter HTML code from user-supplied input before displaying the input [CVE-2011-0552]. A remote user can create a

457

,"U.S. Refinery Net Input"  

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

2,"Annual",2012,"6/30/2005" 2,"Annual",2012,"6/30/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Annual",2012,"6/30/1986" ,"Release Date:","9/27/2013" ,"Next Release Date:","9/26/2014" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:04 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

458

,"U.S. Refinery Net Input"  

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

3,"Monthly","9/2013","1/15/2005" 3,"Monthly","9/2013","1/15/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Monthly","9/2013","1/15/1986" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:05 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOORO_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

459

GRR/Elements/18-CA-a.5 to 18-CA-a.9 - Is the Hazardous Waste...  

Open Energy Info (EERE)

5 to 18-CA-a.9 - Is the Hazardous Waste Discovered at Site or will Site Produce Hazardous Waste < GRR | Elements Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY...

460

Map Data: Total Production | Department of Energy  

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

Total Production Map Data: Total Production totalprod2009final.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

Note: This page contains sample records for the topic "a9 total inputs" 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

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 222 194 17...

462

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,100...

463

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,928 1,316...

464

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

465

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

466

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

467

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

468

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. Total 5,752 5,180 7,707 9,056 6,880 6,008 1936-2013 PAD District 1 1,677 1,689 2,008 3,074 2,135 2,814 1981-2013 Connecticut 1995-2009 Delaware 1995-2012 Florida 359 410 439 392 704 824 1995-2013 Georgia 324 354 434 364 298 391 1995-2013 Maine 65 1995-2013 Maryland 1995-2013 Massachusetts 1995-2012 New Hampshire 1995-2010 New Jersey 903 756 948 1,148 1,008 1,206 1995-2013 New York 21 15 14 771 8 180 1995-2013 North Carolina 1995-2011 Pennsylvania 1995-2013 Rhode Island 1995-2013 South Carolina 150 137 194 209 1995-2013 Vermont 5 4 4 5 4 4 1995-2013 Virginia 32 200 113 1995-2013 PAD District 2 217 183 235 207 247 179 1981-2013 Illinois 1995-2013

469

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Noyes, MN Warroad, MN Babb, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Elba Island, GA Freeport, TX Gulf LNG, MS LNG Imports from Equatorial Guinea LNG Imports from Indonesia LNG Imports from Malaysia LNG Imports from Nigeria Cove Point, MD LNG Imports from Norway Cove Point, MD Freeport, TX Sabine Pass, LA LNG Imports from Oman LNG Imports from Peru Cameron, LA Freeport, TX LNG Imports from Qatar Elba Island, GA Golden Pass, TX Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Sabine Pass, LA LNG Imports from United Arab Emirates LNG Imports from Yemen Everett, MA Freeport, TX Sabine Pass, LA LNG Imports from Other Countries Period: Monthly Annual

470

Natural Gas Total Liquids Extracted  

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

Thousand Barrels) Thousand Barrels) Data Series: Natural Gas Processed Total Liquids Extracted NGPL Production, Gaseous Equivalent Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 658,291 673,677 720,612 749,095 792,481 873,563 1983-2012 Alabama 13,381 11,753 11,667 13,065 1983-2010 Alaska 22,419 20,779 19,542 17,798 18,314 18,339 1983-2012 Arkansas 126 103 125 160 212 336 1983-2012 California 11,388 11,179 11,042 10,400 9,831 9,923 1983-2012 Colorado 27,447 37,804 47,705 57,924 1983-2010 Florida 103 16 1983-2008 Illinois 38 33 24 231 705 0 1983-2012

471

Data:5edc986c-0b11-43cd-a0a9-50a22248b06c | Open Energy Information  

Open Energy Info (EERE)

edc986c-0b11-43cd-a0a9-50a22248b06c edc986c-0b11-43cd-a0a9-50a22248b06c No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Village of Leigh, Nebraska (Utility Company) Effective date: 2013/01/15 End date if known: Rate name: Customer Generation Under Standby Concept - Subtransmission line Sector: Industrial Description: To any customer whose requirements are taken at a point or points determined by the District under a contract of standard form, where the customer's total monthly demand load exceeds 20,000 kilowatts and the customer takes delivery on the secondary side of a District Substation on the customer's property. (Not applicable to resale, standby or auxiliary service.)

472

Data:3ee41548-4821-40db-a9de-6a36302c3d29 | Open Energy Information  

Open Energy Info (EERE)

1548-4821-40db-a9de-6a36302c3d29 1548-4821-40db-a9de-6a36302c3d29 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: NSTAR Electric Company Effective date: 2012/06/01 End date if known: Rate name: ACUSHNET All Electric School G-6 (22)CLC Sector: Commercial Description: This rate is available only at existing service locations to Customers who were taking service as of February 8, 1980 under an all-electric school rate schedule or under a special contract for all-electric school service. This rate is available for annual service in public and private school buildings where electricity supplies the total energy requirements of the premises served. The design and installation of electrical equipment for space heating, water heating, cooking and other purposes shall be acceptable to the Company. This rate is subject to the Company's printed requirements and the Company's Terms and Conditions - Distribution Service, each as in effect from time to time.

473

Data:B52fc314-6fee-4909-a9f8-d21e624a99cc | Open Energy Information  

Open Energy Info (EERE)

fc314-6fee-4909-a9f8-d21e624a99cc fc314-6fee-4909-a9f8-d21e624a99cc No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Hawaiian Electric Co Inc Effective date: 2013/07/04 End date if known: 2018/06/30 Rate name: Schedule EV-U - Commercial Public Electric Vehicle Charging Service Pilot Sector: Commercial Description: APPLICABILITY: This Schedule is applicable only for DC fast charging service provided to on-road electric vehicles at Company-operated public electric vehicle charging facilities. A maximum total of twenty-five (25) DC fast charging customer accounts (i.e., 25 utility meters) across the combined service territories of Hawaiian Electric Company, Inc., Maui Electric Company, Limited, and Hawaii Electric Light Company, Inc., will be permitted under this Schedule. The Companies may submit a request to increase the permitted maximum for the review and approval of the Hawaii Public Utilities Commission. Service under this Schedule will be available through June 30, 2018.

474

Data:2a21b72e-e137-4bea-af72-99a4a9c4572a | Open Energy Information  

Open Energy Info (EERE)

b72e-e137-4bea-af72-99a4a9c4572a b72e-e137-4bea-af72-99a4a9c4572a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Mille Lacs Energy Cooperative Effective date: End date if known: Rate name: Dual Fuel Space Heating Rate Sector: Description: Available to members taking service concurrently under another rate schedule. This rate is for interruptible service to electric space heating loads. Interruption to the space heating load can occur at anytime of day.The cumulative total of interruption can not exceed 400 hours during the heating season.The member must assume responsibility and provide an alternate non-electric automatic thermostatically controlled backup

475

Data:Fc410ce3-8c1c-4303-a3a9-779c632ca1f4 | Open Energy Information  

Open Energy Info (EERE)

Fc410ce3-8c1c-4303-a3a9-779c632ca1f4 Fc410ce3-8c1c-4303-a3a9-779c632ca1f4 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Minnesota Power Inc Effective date: 2011/03/23 End date if known: Rate name: RIDER FOR CITY OF STAPLES FRANCHISE FEE Sector: Description: APPLICATION Applicable to bills for retail electric service within the corporate limits of the City of Staples. ADJUSTMENT There shall be added to each customer's monthly electric service bill a City of Staples Franchise Fee assessment. The amount of the fee to be assessed shall be the assessment rate equal to that imposed on Minnesota Power by the City of Staples, which is currently 5% of the total bill excluding sales taxes. The fee is listed on the bill as "Staples Franchise Fee (5%)" and is effective as of March 11, 2010. 100% of the City of Staples Franchise Fee assessment collected will be passed along to the City of Staples.

476

Data:E0fa0236-5990-48a7-9c7a-9ea36879e168 | Open Energy Information  

Open Energy Info (EERE)

fa0236-5990-48a7-9c7a-9ea36879e168 fa0236-5990-48a7-9c7a-9ea36879e168 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Logan County Coop Power & Light Effective date: 2013/01/01 End date if known: Rate name: FARM AND RESIDENTIAL SERVICE Sector: Residential Description: Available to all farm and residential consumers for all uses subject to the Cooperative's established Rules and Regulations. TYPE OF SERVICE Single-phase, 60 hertz, at the Cooperative's standard secondary voltages. INCLUDED IN FLAT RATE BUY: Generation and Transmission Service Energy Charge All kWh @ $0.05560 per kWh Distribution Service Energy Charge All kWh @ $0.03060 per kWh TOTAL: $0.08620000 per kWh

477

Data:85b1706a-9bf5-49e1-bf7c-fff9e05443d5 | Open Energy Information  

Open Energy Info (EERE)

706a-9bf5-49e1-bf7c-fff9e05443d5 706a-9bf5-49e1-bf7c-fff9e05443d5 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Loup River Public Power Dist Effective date: 2013/01/15 End date if known: Rate name: Customer Generation Under Buy/Sell Concept - Subtransmission Lines Sector: Industrial Description: To any customer whose requirements are taken at a point or points determined by the District under a contract of standard form, where the customer's total monthly demand load exceeds 20,000 kilowatts and the customer takes delivery on the secondary side of a District Substation on the customer's property. (Not applicable to resale, standby or auxiliary service.)

478

The SCALE Verified, Archived Library of Inputs and Data - VALID  

SciTech Connect

The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional experiments from the IHECSBE, to include experiments from areas beyond criticality safety, such as reactor physics and shielding, and to include application models. In the future, external SCALE users may also obtain qualification under the VALID procedure and be involved in expanding the library. The VALID library provides a pathway for the criticality safety community to leverage modeling and analysis expertise at ORNL.

Marshall, William BJ J [ORNL; Rearden, Bradley T [ORNL

2013-01-01T23:59:59.000Z

479

Data:03c989ee-a9f2-4b00-a6e9-eb5a5708c387 | Open Energy Information  

Open Energy Info (EERE)

9ee-a9f2-4b00-a6e9-eb5a5708c387 9ee-a9f2-4b00-a6e9-eb5a5708c387 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Central Maine Power Co Effective date: 2013/05/01 End date if known: Rate name: A Residential Short Term Service Standard Offer (Bundled) Sector: Residential Description: AVAILABILITY This rate is available for Residential Service taken on a continuous year-round basis at one point of delivery. Service may be taken for a shorter period subject to the provisions of the short-term service charge. SHORT-TERM SERVICE CHARGE Customers who take short-term service will be billed for the first three months, or fraction thereof, $28.23 per month in addition to the regular monthly electric service rate (including the monthly minimum charge). A customer will be billed for no fewer than three consecutive months of short-term service. A credit equal to one-ninth of the amount of short-term service charges billed during the first three months of short-term service will be applied to a short-term customer's bill for each month, or fraction thereof, that the short-term customer's term of service exceeds three months. In no case will the total amount of such credits exceed the total amount of short-term service charges billed. When seasonal service customers take service for less than twelve consecutive months, they will be considered to be short-term customers and their final bills will be adjusted to include any unbilled short-term service charges and credits.

480

Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site  

SciTech Connect

The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

Pinckard, Margaret J.; Brown, Richard E.; Mills, Evan; Lutz, James D.; Moezzi, Mithra M.; Atkinson, Celina; Bolduc, Chris; Homan, Gregory K.; Coughlin, Katie

2005-07-13T23:59:59.000Z

Note: This page contains sample records for the topic "a9 total inputs" 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

U.S. Total Exports  

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

International Falls, MN Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT North Troy, VT LNG Imports into Cameron, LA LNG Imports into Cove Point, MD LNG Imports into Elba Island, GA LNG Imports into Everett, MA LNG Imports into Freeport, TX LNG Imports into Golden Pass, TX LNG Imports into Gulf Gateway, LA LNG Imports into Gulf LNG, MS LNG Imports into Lake Charles, LA LNG Imports into Neptune Deepwater Port LNG Imports into Northeast Gateway LNG Imports into Sabine Pass, LA U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Alamo, TX El Paso, TX Galvan Ranch, TX Hidalgo, TX McAllen, TX Penitas, TX LNG Imports from Algeria Cove Point, MD Everett, MA Lake Charles, LA LNG Imports from Australia Everett, MA Lake Charles, LA LNG Imports from Brunei Lake Charles, LA LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Equatorial Guinea Elba Island, GA Lake Charles, LA LNG Imports from Indonesia Lake Charles, LA LNG Imports from Malaysia Gulf Gateway, LA Lake Charles, LA LNG Imports from Nigeria Cove Point, MD Elba Island, GA Freeport, TX Gulf Gateway, LA Lake Charles, LA Sabine Pass, LA LNG Imports from Norway Cove Point, MD Sabine Pass, LA LNG Imports from Oman Lake Charles, LA LNG Imports from Peru Cameron, LA Freeport, TX Sabine Pass, LA LNG Imports from Qatar Cameron, LA Elba Island, GA Golden Pass, TX Gulf Gateway, LA Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf Gateway, LA Gulf LNG, MS Lake Charles, LA Neptune Deepwater Port Northeast Gateway Sabine Pass, LA LNG Imports from United Arab Emirates Lake Charles, LA LNG Imports from Yemen Everett, MA Freeport, TX Neptune Deepwater Port Sabine Pass, LA LNG Imports from Other Countries Lake Charles, LA Period: Monthly Annual

482

Solar total energy systems (STES) simulation program user's guide  

DOE Green Energy (OSTI)

A computer program which simulates the operations of a STES facility and evaluates its annualized costs and energy displacement is described. The program contains a dynamic model which simulates the interaction of the insolation and electrical and thermal demands on an hourly basis. The program is flexible enough to allow thousands of different configurations to be simulated under a wide variety of conditions. Moreover, with this program, the sizes of the STES components can be adjusted to maximize the return on invested capital or the savings in fossil fuels. The program can also be used to simulate conventional fossil fuel Total Energy (TE) systems and solar thermal energy systems for comparison with STES. The program is written in Fortran for the FTN compiler on The Aerospace Corporation's CDC 7600 computer. It consists of 9 routines and approximately 1300 cards, including comments. A description of the program, its inputs and its outputs are presented. Examples of program input and otput as well as a sample deck structure are provided. A source listing appears in the appendix.

Timmer, B.R.

1979-01-04T23:59:59.000Z

483

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

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

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

484

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

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

0: Skype Input Validation Flaw in 'mobile phone' Profile Entry 0: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

485

U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName'  

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

2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' 2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks March 23, 2012 - 7:42am Addthis PROBLEM: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks PLATFORM: Apache Wicket 1.4.x ABSTRACT: A remote user can conduct cross-site scripting attacks. reference LINKS: Apache Wicket CVE-2012-0047 SecurityTracker Alert ID: 1026839 IMPACT ASSESSMENT: High Discussion: The software does not properly filter HTML code from user-supplied input in the 'wicket:pageMapName' request parameter before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target

486

V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting  

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

4: Splunk Web Input Validation Flaw Permits Cross-Site 4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis PROBLEM: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 4.3.0 through 4.3.5 ABSTRACT: A vulnerability was reported in Splunk Web. REFERENCE LINKS: SecurityTracker Alert ID: 1028371 Splunk IMPACT ASSESSMENT: High DISCUSSION: Splunk Web does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the Splunk Web software and will run in the security context of that site. As a result, the code will be able to access the

487

U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site  

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

2: Barracuda Web Filter Input Validation Flaws Permit 2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September 6, 2012 - 6:00am Addthis PROBLEM: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks PLATFORM: Barracuda Web Filter 5.0.015 is vulnerable; other versions may also be affected. ABSTRACT: Barracuda Web Filter Authentication Module Multiple HTML Injection Vulnerabilities reference LINKS: Barracuda Networks Barracuda Networks Security ID: BNSEC-279/BNYF-5533 SecurityTracker Alert ID: 1027500 Bugtraq ID: 55394 seclists.org IMPACT ASSESSMENT: Medium Discussion: Two scripts not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to

488

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

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

70: Skype Input Validation Flaw in 'mobile phone' Profile Entry 70: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

489

U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting  

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

0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site 0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks December 2, 2011 - 5:24am Addthis PROBLEM: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks. PLATFORM: Adobe Flex SDK 4.5.1 and earlier 4.x versions for Windows, Macintosh and Linux Adobe Flex SDK 3.6 and earlier 3.x versions for Windows, Macintosh and Linux ABSTRACT: Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: Adobe Security Bulletin CVE-2011-2461 SecurityTracker Alert ID: 1026361 IMPACT ASSESSMENT: High Discussion: A remote user may be able to cause arbitrary scripting code to be executed

490

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

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

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

491

GRR/Elements/18-CA-a.5 to 18-CA-a.9 - Is the Hazardous Waste Discovered at  

Open Energy Info (EERE)

GRR/Elements/18-CA-a.5 to 18-CA-a.9 - Is the Hazardous Waste Discovered at GRR/Elements/18-CA-a.5 to 18-CA-a.9 - Is the Hazardous Waste Discovered at Site or will Site Produce Hazardous Waste < GRR‎ | Elements Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections 18-CA-a.5 to 18-CA-a.9 - Is the Hazardous Waste Discovered at Site or will Site Produce Hazardous Waste Delete Logic Chain No Parents \V/ GRR/Elements/18-CA-a.5 to 18-CA-a.9 - Is the Hazardous Waste Discovered at Site or will Site Produce Hazardous Waste (this page) \V/ No Dependents Under Development Add.png Add an Element Retrieved from "http://en.openei.org/w/index.php?title=GRR/Elements/18-CA-a.5_to_18-CA-a.9_-_Is_the_Hazardous_Waste_Discovered_at_Site_or_will_Site_Produce_Hazardous_Waste&oldid=487194"

492

[Composite analysis E-area vaults and saltstone disposal facilities]. PORFLOW and FACT input files  

Science Conference Proceedings (OSTI)

This diskette contains the PORFLOW and FACT input files described in Appendix B of the accompanying report `Composite Analysis E-Area Vaults and Saltstone Disposal Facilities`.

Cook, J.R.

1997-09-01T23:59:59.000Z

493

SRTC input to DOE-HQ R and D database for FY99  

SciTech Connect

This is a database of the Savannah River Site input to the DOE Research and Development database. The report contains approximately 50 project abstracts.

Chandler, L.R. Jr.

2000-01-05T23:59:59.000Z

494

Use of probabilistic inversion to model qualitative expert input when selecting a new nuclear reactor technology.  

E-Print Network (OSTI)

?? Complex investment decisions by corporate executives often require the comparison of dissimilar attributes and competing technologies. A technique to evaluate qualitative input from experts (more)

Merritt, Charles R., Jr.

2008-01-01T23:59:59.000Z

495