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

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

0. 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 Trillion...

5

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"

6

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"

7

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"

8

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

9

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

10

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

11

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}~"

12

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"

13

Total electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV  

E-Print Network [OSTI]

, it is found that the most critical factor is the assumption made on the energy of the auroral protonsTotal electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV B and proton energy fluxes. The proton energy flux is derived from the Lyman a measurements on the basis

California at Berkeley, University of

14

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

15

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

16

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

17

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

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

"Net","Residual","and Diesel",,,"and",,"Row" "Code(a)","End-Use Categories","Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural Gas(d)","LPG","Breeze)","Other(e)","Factors" ,...

18

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

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

,,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural Gas(d)","LPG","and Breeze)","Other(e)","Row"...

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 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"

22

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"

23

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",

24

Assessment of terrigenous organic carbon input to the total organic carbon in sediments from Scottish transitional waters Hydrology and Earth System Sciences, 6(6), 959970 (2002) EGS  

E-Print Network [OSTI]

Assessment of terrigenous organic carbon input to the total organic carbon in sediments from of terrigenous organic carbon input to the total organic carbon in sediments from Scottish transitional waters This paper addresses the assessment of terrestrially derived organic carbon in sediments from two Scottish

Paris-Sud XI, Université de

25

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

Science Journals Connector (OSTI)

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

Ubaidillah Zuhdi

2014-01-01T23:59:59.000Z

26

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

27

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

28

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

29

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

30

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

31

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

32

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

33

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

34

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

35

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

36

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

37

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

38

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

39

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

40

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

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

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

Science Journals Connector (OSTI)

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

Tuomas J. Mattila; Suvi Pakarinen; Laura Sokka

2010-04-21T23:59:59.000Z

42

Refiner Crude Oil Inputs  

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

Day) Refiner Percent Operable Utilization Net Inputs (Refiner and Blender) of Motor Gasoline Blending Comp Net Inputs (Refiner and Blender) of RBOB Blending Components Net...

43

Automatic input rectification  

E-Print Network [OSTI]

We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. ...

Long, Fan

44

Automatic Input Rectification  

E-Print Network [OSTI]

We present a novel technique, automatic input rectification, and a prototype implementation called SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process ...

Long, Fan

2011-10-03T23:59:59.000Z

45

TART input manual  

SciTech Connect (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

46

NUPlans Budgeting Grant Input View  

E-Print Network [OSTI]

NUPlans Budgeting Grant Input View FMS704 NUPlansGrantInputViewV2 Last updated 4/7/2014 - rb © 2014 Northwestern University FMS704 NUPlans Contributor Budgeting 1 of 5 NUPlans Grant Input View NUPlans enables schools and units with grant projects to input grant expense estimates per project for the next fiscal

Shull, Kenneth R.

47

Prioritization Tool Measurement Input Form  

Broader source: Energy.gov [DOE]

BTO encourages stakeholders to recommend updates and improvements to the Prioritization Tool by using the below Measure Input Form.

48

E-Print Network 3.0 - ac input power Sample Search Results  

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

factor with high total harmonic... input cur- rent shape at near unity power factor. Advantages of the proposed topology are: no dc... as well as input supply variations. Matrix...

49

TOTAL Full-TOTAL Full-  

E-Print Network [OSTI]

Conducting - Orchestral 6 . . 6 5 1 . 6 5 . . 5 Conducting - Wind Ensemble 3 . . 3 2 . . 2 . 1 . 1 Early- X TOTAL Full- Part- X TOTAL Alternative Energy 6 . . 6 11 . . 11 13 2 . 15 Biomedical Engineering 52 English 71 . 4 75 70 . 4 74 72 . 3 75 Geosciences 9 . 1 10 15 . . 15 19 . . 19 History 37 1 2 40 28 3 3 34

Portman, Douglas

50

,"U.S. Blender Net Input"  

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

Blender Net Input of Residuum (Thousand Barrels)","U.S. Blender Net Input of Gasoline Blending Components (Thousand Barrels)","U.S. Blender Net Input of Reformulated...

51

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.

52

Intermediate inputs and economic productivity  

Science Journals Connector (OSTI)

...US sectoral-level production functions. Both the...316) and plastics and rubber-(326). The relationship...coefficients of the production function sum to a quantity...inputs were used in the production process. 16 This estimate...products 326 plastics and rubber products 327 non-metallic...

2013-01-01T23:59:59.000Z

53

PADD 3 Weekly Inputs & Utilization  

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

Utilization 97.4 95.3 94.8 94.9 95.9 92.2 2010-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components -2,174 -2,008 -2,012 -2,095 -2,214 -2,291 2004-2015 RBOB -283...

54

Resources Abstracts Input Transaction Form  

E-Print Network [OSTI]

#12;Resources Abstracts Input Transaction Form 4. Title 5. Report Date 6.Urban Aquaculture Covered The University of the District of Columbia 12. Sponsoring Organization Water Resources Research of the rainbow trout (Salmo gairdneri) in a closed recycling water system in an urban environment is described

District of Columbia, University of the

55

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

56

Code input alternatives John C. Wright  

E-Print Network [OSTI]

Code input alternatives John C. Wright John Wright Oct 2009 ­ CSWIM Workshop@ORNL Extensible markup

Wright, John C.

57

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

58

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 &

59

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)

60

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 &

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

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

62

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 &

63

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 &

64

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 &

65

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 &

66

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

67

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

68

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 &

69

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 &

70

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 &

71

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

72

Estimation of input energy in rocket-triggered lightning Vinod Jayakumar,1  

E-Print Network [OSTI]

the input power and energy, each per unit channel length and as a function of time, associated with return- lightning first stroke, based on the conversion of measured optical energy to total energy using energy., 2002] and measured current, I(t), at the channel base to estimate the input power per unit length, P

Florida, University of

73

Barge Truck Total  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

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...

74

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

75

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

76

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

77

Evaluation of Indian input to the international nuclear information system database  

Science Journals Connector (OSTI)

The study is aimed at analysing the INIS bibliographic records of publications in India during the period 2000-2008. The analysis includes the inputting trend, time-lag, contributing journals, country collaboration, content analysis through the classification and keywords. India has a total number of 14,697 records input to the database with an yearly average of 1631 records. The timeliness of input is very noteworthy as 29.15% of all articles are input in the same publication year, 52.57% articles are of only one year delay in inputting. Pramana, Journal of Medical Physics, Radiation Protection and Environment are found as the most contributed Indian journals. Scientists from USA, Germany, Japan, etc., are the main contributors. Nuclear physics and radiation physics, specific nuclear reactors and associated plants, particle accelerators, inorganic, organic, physical and analytical chemistry, etc., are main areas of the Indian input.

Anil Kumar; E.R. Prakasan; Sandeep Kadam; Nita Bhaskar

2011-01-01T23:59:59.000Z

78

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

79

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of 10 reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN) biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading 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 a Yucca Mountain repository. Inhalation Exposure Input Parameters for the Biosphere Model is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the Technical Work Plan for Biosphere Modeling and Expert Support (BSC 2004 [DIRS 169573]). This analysis report defines and justifies values of mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of ERMYN to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception.

K. Rautenstrauch

2004-09-10T23:59:59.000Z

80

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

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
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81

National Climate Assessment: Available Technical Inputs  

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

82

Evaluation of boolean formulas with restricted inputs  

E-Print Network [OSTI]

In this thesis, I will investigate the running time of quantum algorithms for evaluating boolean functions when the input is promised to satisfy certain conditions. The two quantum algorithms considered in this paper are ...

Zhan, Bohua

2010-01-01T23:59:59.000Z

83

Generation of RTL verification input stimulus  

E-Print Network [OSTI]

This thesis presents an approach for generating input stimulus for verification of register-transfer level (RTL) design of VLSI circuits. RTL design is often subjected to a significant verification effort due to errors introduced during manual...

Selvarathinam, Anand Manivannan

2012-06-07T23:59:59.000Z

84

Variations of Total Domination  

Science Journals Connector (OSTI)

The study of locatingdominating sets in graphs was pioneered by Slater[186, 187...], and this concept was later extended to total domination in graphs. A locatingtotal dominating set, abbreviated LTD-set, in G

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

85

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

86

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 &

87

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

88

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

89

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 &

90

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 &

91

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 &

92

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

93

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

94

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

95

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

96

Documentation of Calculation Methodology, Input Data, and Infrastructure  

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

97

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment for the license application (TSPA-LA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA-LA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]) (TWP). This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA). This report is one of the five reports that develop input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the conceptual model and the mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed description of the model input parameters. The output of this report is used as direct input in the ''Nominal Performance Biosphere Dose Conversion Factor Analysis'' and in the ''Disruptive Event Biosphere Dose Conversion Factor Analysis'' that calculate the values of biosphere dose conversion factors (BDCFs) for the groundwater and volcanic ash exposure scenarios, respectively. The purpose of this analysis was to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or in volcanic ash). The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]).

M. Wasiolek

2004-09-10T23:59:59.000Z

98

Opportunities for Public Input Into DOE Projects  

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

99

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

100

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

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  

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

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

102

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

103

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

104

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

105

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

106

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

107

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

108

Total Space Heat-  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

109

Watfactory Virtual Manufacturing Process Varying Inputs  

E-Print Network [OSTI]

with the virtual process: · Allows quick exploration (i.e. during a short course) of process improvement ideasWatfactory Virtual Manufacturing Process Machine 1 Machine 2 Machine 3 Stream 1 Machine B Stream 2 Inputs Can be Set by Stream z19, ..., z24 The Watfactory virtual process simulates a manufacturing

Zhu, Mu

110

Automatic interpretation of loosely encoded input  

Science Journals Connector (OSTI)

Knowledge-based systems are often brittle when given unanticipated input, i.e. assertions or queries that misalign with the ontology of the knowledge base. We call such misalignments ''loose speak''. We found that loose speak occurs frequently in interactions ... Keywords: Knowledge based systems, Metonymy, Noun compound, Question answering

James Fan; Ken Barker; Bruce Porter

2009-02-01T23:59:59.000Z

111

U.S. Weekly Inputs & Utilization  

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

Utilization 95.4 93.5 93.5 94.4 93.9 91 1990-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components 8 234 445 192 -558 -219 2004-2015 RBOB 167 330 371 103 9 261...

112

Contractive Systems with Inputs Eduardo D. Sontag  

E-Print Network [OSTI]

Contractive Systems with Inputs Eduardo D. Sontag Dedicated to Y. Yamamoto on the occasion of his 60th birthday Abstract. Contraction theory provides an elegant way of analyzing the behaviors-contained introduction to some basic results, with a focus on contractions with respect to non-Euclidean metrics. 1

Sontag, Eduardo

113

Green Computing input for better outcomes  

E-Print Network [OSTI]

Journal Profile: Udi Dahan Green Maturity Model for Virtualization Profiling Energy Usage for Efficient suggests that tracking energy consumption at every level will become the factor of success for greenGreen Computing input for better outcomes Learn the discipline, pursue the art, and contribute

Amir, Yair

114

Input to Priorities Panel August 7, 2012  

E-Print Network [OSTI]

Input to Priorities Panel August 7, 2012 Jeff Freidberg MIT 1 #12;The Emperor of Fusion has · Comparison (1 GW overnight cost) · Coal $ 3B · Gas $ 1B · Nuclear $ 4B · Wind $ 2B · Solar-T $ 3B · ITER $25B

115

Dale Meade regarding input international collaboration panel  

E-Print Network [OSTI]

Dale Meade regarding input international collaboration panel 1 message Saskia to add 2 comments to this discussion: 1. This regards not only international collaborations, but also national collaborations. We need to decide on using 1 video conferencing system. One of the main

116

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

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

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

117

Tribal Leaders Provide White House with Input on Bolstering Climate...  

Energy Savers [EERE]

Tribal Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 -...

118

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

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

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...

119

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

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

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...

120

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of the technical reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), referred to in this report as the biosphere model. ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading 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 a Yucca Mountain repository. ''Inhalation Exposure Input Parameters for the Biosphere Model'' is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the biosphere model is presented in Figure 1-1 (based on BSC 2006 [DIRS 176938]). This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and how this analysis report contributes to biosphere modeling. This analysis report defines and justifies values of atmospheric mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of the biosphere model to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception. This report is concerned primarily with the physical attributes of airborne particulate matter, such as the airborne concentrations of particles and their sizes. The conditions of receptor exposure (duration of exposure in various microenvironments), breathing rates, and dosimetry of inhaled particulates are discussed in more detail in ''Characteristics of the Receptor for the Biosphere Model'' (BSC 2005 [DIRS 172827]).

M. Wasiolek

2006-06-05T23:59:59.000Z

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.


121

Application of computer voice input/output  

SciTech Connect (OSTI)

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

Ford, W.; Shirk, D.G.

1981-01-01T23:59:59.000Z

122

Generalized Input-Output Inequality Systems  

SciTech Connect (OSTI)

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

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

2006-09-15T23:59:59.000Z

123

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

124

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

125

Categorical Exclusion Determinations: A9 | Department of Energy  

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

, 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

126

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

127

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

128

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

129

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

130

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

131

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

132

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

133

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

134

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

135

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

136

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

137

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

138

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

139

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

140

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

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  

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

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

142

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

143

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

144

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

145

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

146

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

147

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

148

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

149

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

150

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

151

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

152

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

153

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

154

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

155

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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')

156

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

157

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

158

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

159

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

160

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

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161

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

162

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

163

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

164

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

165

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

166

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

167

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

168

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

169

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

170

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

171

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

172

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

173

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

174

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

175

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

176

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

177

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

178

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

179

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

180

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

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  

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

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

182

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

183

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

184

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

185

Categorical Exclusion Determinations: A9 | Department of Energy  

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

, 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

186

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

187

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

188

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

189

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

190

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

191

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

192

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

193

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

194

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

195

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

196

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

197

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

198

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

199

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

200

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

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  

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

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

202

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

203

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

204

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

205

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

206

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

207

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

208

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

209

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

210

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

211

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

212

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

213

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

214

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

215

21 briefing pages total  

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

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

216

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

217

Soil-related Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the geologic repository at Yucca Mountain. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN biosphere model is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (BSC 2003 [163602]). It should be noted that some documents identified in Figure 1-1 may be under development at the time this report is issued and therefore not available. This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. ''The Biosphere Model Report'' (BSC 2003 [160699]) describes in detail the conceptual model as well as the mathematical model and its input parameters. The purpose of this analysis was to develop the biosphere model parameters needed to evaluate doses from pathways associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation and ash deposition and, as a direct consequence, radionuclide concentration in resuspended particulate matter in the atmosphere. The analysis was performed in accordance with the technical work plan for the biosphere modeling and expert support (TWP) (BSC 2003 [163602]). This analysis revises the previous one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [152517]). In REV 00 of this report, the data generated were fixed (i.e., taking no account of uncertainty and variability) values. This revision incorporates uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content.

A. J. Smith

2003-07-02T23:59:59.000Z

218

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

219

Summary Max Total Units  

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

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

220

Total Precipitable Water  

SciTech Connect (OSTI)

The simulation was performed on 64K cores of Intrepid, running at 0.25 simulated-years-per-day and taking 25 million core-hours. This is the first simulation using both the CAM5 physics and the highly scalable spectral element dynamical core. The animation of Total Precipitable Water clearly shows hurricanes developing in the Atlantic and Pacific.

None

2012-01-01T23:59:59.000Z

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.


221

Total Sustainability Humber College  

E-Print Network [OSTI]

1 Total Sustainability Management Humber College November, 2012 SUSTAINABILITY SYMPOSIUM Green An Impending Global Disaster #12;3 Sustainability is NOT Climate Remediation #12;Our Premises "We cannot, you cannot improve it" (Lord Kelvin) "First rule of sustainability is to align with natural forces

Thompson, Michael

222

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

223

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

224

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

225

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

226

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

227

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

228

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

229

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

230

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

231

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

232

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

233

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

234

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

235

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

236

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

237

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

238

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

239

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

240

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

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

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

242

Categorical Exclusion Determinations: A9 | Department of Energy  

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

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

243

Total isomerization gains flexibility  

SciTech Connect (OSTI)

Isomerization extends refinery flexibility to meet changing markets. TIP (Total Isomerization Process) allows conversion of paraffin fractions in the gasoline boiling region including straight run naptha, light reformate, aromatic unit raffinate, and hydrocrackate. The hysomer isomerization is compared to catalytic reforming. Isomerization routes are graphed. Cost estimates and suggestions on the use of other feedstocks are given. TIP can maximize gas production, reduce crude runs, and complement cat reforming. In four examples, TIP reduces reformer severity and increases reformer yield.

Symoniak, M.F.; Holcombe, T.C.

1983-05-01T23:59:59.000Z

244

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

245

INGEN: A COBRA-NC input generator user's manual  

SciTech Connect (OSTI)

The INGEN (INput GENerator) computer program has been developed as a preprocessor to simplify input generation for the COBRA-NC computer program. INGEN uses several empirical correlations and geometric assumptions to simplify the data input requirements for the COBRA-NC computer code. The simplified input scheme is obtained at the expense of much flexibility provided by COBRA-NC. For more complex problems requiring additional flexibility however, INGEN may be used to provide a skeletal input file to which the more detailed input may be added. This report describes the input requirements for INGEN and describes the algorithms and correlations used to generate the COBRA-NC input. 9 refs., 3 figs., 6 tabs.

Wheeler, C.L.; Dodge, R.E.

1986-12-01T23:59:59.000Z

246

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

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

Sulfur Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31062,0.88,32.64...

247

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

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

Sulfur Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31228,0.91,32.46...

248

How Sensitive is Processor Customization to the Workload's Input Datasets?  

E-Print Network [OSTI]

How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

Eeckhout, Lieven

249

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

250

Determination of Total Solids in Biomass and Total Dissolved...  

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

Total Solids in Biomass and Total Dissolved Solids in Liquid Process Samples Laboratory Analytical Procedure (LAP) Issue Date: 3312008 A. Sluiter, B. Hames, D. Hyman, C. Payne,...

251

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

252

Planar Total Internal Reflection Biofouling Sensors  

E-Print Network [OSTI]

Cladding Input Edge Diffraction Critical Point Core LaserCladding Core Input Edge Diffraction Surface Plasmon Resonance Metal Layer Prism-coupler (Sensor) Laser

Nam, Koo Hyun

2010-01-01T23:59:59.000Z

253

Soil-Related Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This report presents one of the analyses that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the details of the conceptual model as well as the mathematical model and the required input parameters. The biosphere model is one of a series of process models supporting the postclosure Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A schematic representation of the documentation flow for the Biosphere input to TSPA is presented in Figure 1-1. This figure shows the evolutionary relationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (TWP) (BSC 2004 [DIRS 169573]). This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil-Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. The purpose of this analysis was to develop the biosphere model parameters associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation or ash deposition and, as a direct consequence, radionuclide concentration in other environmental media that are affected by radionuclide concentrations in soil. The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]) where the governing procedure was defined as AP-SIII.9Q, ''Scientific Analyses''. This analysis revises the previous version with the same name (BSC 2003 [DIRS 161239]), which was itself a revision of one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [DIRS 152517]). In Revision 00 of this report, the data generated were fixed values (i.e., taking no account of uncertainty and variability). Revision 01 (BSC 2003 [DIRS 161239]) incorporated uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content. The current revision of this document improves the transparency and traceability of the products without changing the details of the analysis. This analysis report supports the treatment of six of the features, events, and processes (FEPs) applicable to the Yucca Mountain reference biosphere (DTN: MO0407SEPFEPLA.000 [DIRS 170760]). The use of the more recent FEP list in DTN: MO0407SEPFEPLA.000 [DIRS 170760] represents a deviation from the detail provided in the TWP (BSC 2004 [DIRS 169573]), which referenced a previous version of the FEP list. The parameters developed in this report support treatment of these six FEPs addressed in the biosphere model that are listed in Table 1-1. Inclusion and treatment of FEPs in the biosphere model is described in the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460], Section 6.2).

A. J. Smith

2004-09-09T23:59:59.000Z

254

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

255

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

256

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

SciTech Connect (OSTI)

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

257

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

258

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

259

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

260

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.

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

Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations  

E-Print Network [OSTI]

Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations Angel Lozano gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual

Verdú, Sergio

262

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

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

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...

263

,"New York Natural Gas Input Supplemental Fuels (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2013 ,"Release Date:","1031...

264

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... havior of the ratio of total quanta to total energy (Q : W) within the spectral region of photosynthetic ..... For blue-green waters, where hRmax lies.

2000-01-02T23:59:59.000Z

265

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (TWP) (BSC 2003 [163602]). Some documents in Figure 1-1 may be under development and not available when this report is issued. This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA), but access to the listed documents is not required to understand the contents of this report. This report is one of the reports that develops input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2003 [160699]) describes the conceptual model, the mathematical model, and the input parameters. The purpose of this analysis is to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or volcanic ash). The analysis was performed in accordance with the TWP (BSC 2003 [163602]). This analysis develops values of parameters associated with many features, events, and processes (FEPs) applicable to the reference biosphere (DTN: M00303SEPFEPS2.000 [162452]), which are addressed in the biosphere model (BSC 2003 [160699]). The treatment of these FEPs is described in BSC (2003 [160699], Section 6.2). Parameter values developed in this report, and the related FEPs, are listed in Table 1-1. The relationship between the parameters and FEPs was based on a comparison of the parameter definition and the FEP descriptions as presented in BSC (2003 [160699], Section 6.2). The parameter values developed in this report support the biosphere model and are reflected in the TSPA through the biosphere dose conversion factors (BDCFs). Biosphere modeling focuses on radionuclides screened for the TSPA-LA (BSC 2002 [160059]). The same list of radionuclides is used in this analysis (Section 6.1.4). The analysis considers two human exposure scenarios (groundwater and volcanic ash) and climate change (Section 6.1.5). This analysis combines and revises two previous reports, ''Transfer Coefficient Analysis'' (CRWMS M&O 2000 [152435]) and ''Environmental Transport Parameter Analysis'' (CRWMS M&O 2001 [152434]), because the new ERMYN biosphere model requires a redefined set of input parameters. The scope of this analysis includes providing a technical basis for the selection of radionuclide- and element-specific biosphere parameters (except for Kd) that are important for calculating BDCFs based on the available radionuclide inventory abstraction data. The environmental transport parameter values were developed specifically for use in the biosphere model and may not be appropriate for other applications.

M. A. Wasiolek

2003-06-27T23:59:59.000Z

266

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

267

Performance Measures For Input Shaping and Command Generation  

E-Print Network [OSTI]

Performance Measures For Input Shaping and Command Generation Kris Kozak Department of Precision performance measures for input shaping and command generation have appeared in the literature, but very rarely have these measures been critically evaluated or thoroughly discussed. In this paper we review

Singhose, William

268

Univariate input models for stochastic simulation , NM Steiger4  

E-Print Network [OSTI]

of the continuous univariate probabilistic input processes that drive discrete-event simulation experiments that accu- rately mimic the behaviour of the random input processes driving the system under study. Often the following interrelated difficulties arise in attempts to use standard distribution families for simulation

269

ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO  

E-Print Network [OSTI]

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

Groppi, Christopher

270

Soft-Input Soft-Output Sphere Decoding Christoph Studer  

E-Print Network [OSTI]

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

271

Link: exploiting the web of data to generate test inputs  

Science Journals Connector (OSTI)

Applications that process complex data, such as maps, personal data, book information, travel data, etc., are becoming extremely common. Testing such applications is hard, because they require realistic and coherent test inputs that are expensive to ... Keywords: System testing, Web of data, realistic test input

Leonardo Mariani; Mauro Pezz; Oliviero Riganelli; Mauro Santoro

2014-07-01T23:59:59.000Z

272

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.)

273

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

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

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

274

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network [OSTI]

Julio de 2011 Tipo de Discapacidad Sexo CENTRO 5-Distribución del estudiantado con discapacidad por centro, tipo de discapacidad, sexo y totales. #12;

Autonoma de Madrid, Universidad

275

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... ment of the total energy and vice versa. From a measurement of spectral irradi- ance ... unit energy (for the wavelength region specified).

2000-01-02T23:59:59.000Z

276

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

277

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

278

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

279

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

280

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

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

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

282

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

283

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

284

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

285

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

286

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

287

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

288

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

289

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

290

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

291

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

292

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

293

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

294

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

295

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

296

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

297

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

298

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

299

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

300

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.


301

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)

302

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

303

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

304

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)...........................

305

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

306

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

307

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

308

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

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.7 0.5 0.2 Million U.S. Housing Units Home Electronics Usage Indicators Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region,...

309

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

Gasoline and Diesel Fuel Update (EIA)

... 13.2 1.8 1.2 0.5 Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005 Million U.S. Housing Units Home Appliances...

310

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

... 2.8 1.1 0.7 Q 0.4 Million U.S. Housing Units Home Electronics Usage Indicators Table HC13.12 Home Electronics Usage Indicators by South Census Region,...

311

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

Gasoline and Diesel Fuel Update (EIA)

... 13.2 3.1 1.0 2.2 Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005 Million U.S. Housing Units Home Appliances...

312

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

Gasoline and Diesel Fuel Update (EIA)

States New York Florida Texas California Million U.S. Housing Units Home Electronics Usage Indicators Table HC15.12 Home Electronics Usage Indicators by Four Most Populated...

313

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

Gasoline and Diesel Fuel Update (EIA)

... 13.2 2.7 3.5 2.2 1.3 3.5 1.3 3.8 Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal...

314

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

... 13.2 3.4 2.0 1.4 Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005 Million U.S. Housing Units Home Appliances...

315

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Census Region Northeast Midwest South West Million U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005...

316

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

Gasoline and Diesel Fuel Update (EIA)

(as Self-Reported) City Town Suburbs Rural Million U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location,...

317

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

Gasoline and Diesel Fuel Update (EIA)

... 13.2 4.4 2.5 3.0 3.4 Table HC8.10 Home Appliances Usage Indicators by UrbanRural Location, 2005 Million U.S. Housing Units UrbanRural...

318

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

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.6 Q 0.5 Million U.S. Housing Units Home Electronics Usage Indicators Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005...

319

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

... 13.2 4.9 2.3 1.1 1.5 Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005 Million U.S. Housing Units South Census Region...

320

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

Gasoline and Diesel Fuel Update (EIA)

... 51.9 7.0 4.8 2.2 Not Asked (Mobile Homes or Apartment in Buildings with 5 or More Units)... 23.7...

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

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

Gasoline and Diesel Fuel Update (EIA)

Housing Units Living Space Characteristics Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Single-Family Units Detached...

322

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

Gasoline and Diesel Fuel Update (EIA)

0.7 21.7 6.9 12.1 Do Not Have Space Heating Equipment... 1.2 Q Q N Q Have Main Space Heating Equipment... 109.8 40.3 21.4 6.9 12.0 Use Main Space Heating...

323

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...

324

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...

325

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

326

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

327

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

328

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

329

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

330

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

331

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

332

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

333

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

334

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

335

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

336

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

337

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

338

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

339

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents [OSTI]

A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

Hackel, R.P.; Paris, R.D.; Feldman, M.

1993-02-23T23:59:59.000Z

340

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents [OSTI]

A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

1993-01-01T23:59:59.000Z

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.


341

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

342

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

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

343

Input to the 2012-2021 Strategic Plan  

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

344

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

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

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

345

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

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

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

346

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

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

347

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

348

Operation of buck regulator with ultra-low input voltage  

E-Print Network [OSTI]

Based on the LTC3621 and LTC3624, the designed buck regulator proposed in this thesis aims to lower the allowed input voltage and increase efficiency compared to the original part without making significant changes to ...

Harris, Cory Angelo

2014-01-01T23:59:59.000Z

349

Data sheet acquired from Harris Semiconductor Buffered Inputs  

E-Print Network [OSTI]

1 Data sheet acquired from Harris Semiconductor SCHS121D Features · Buffered Inputs · Typical. The suffixes 96 and R denote tape and reel. The suffix T denotes a small-quantity reel of 250. CAUTION

Kretchmar, R. Matthew

350

Automatic testing of software with structurally complex inputs  

E-Print Network [OSTI]

Modern software pervasively uses structurally complex data such as linked data structures. The standard approach to generating test suites for such software, manual generation of the inputs in the suite, is tedious and ...

Marinov, Darko, 1976-

2005-01-01T23:59:59.000Z

351

Face Interface : a methodology for experimental learning of input modalities  

E-Print Network [OSTI]

This thesis demonstrates that creating a system with a visual representation of the face which mirrors the user's facial gestures appears to solve problems in teaching a user to use the new input affordances of face-based ...

Wetzel, Jon William

2007-01-01T23:59:59.000Z

352

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

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

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:

353

Charged-Particle Thermonuclear Reaction Rates: III. Nuclear Physics Input  

E-Print Network [OSTI]

The nuclear physics input used to compute the Monte Carlo reaction rates and probability density functions that are tabulated in the second paper of this series (Paper II) is presented. Specifically, we publish the input files to the Monte Carlo reaction rate code RatesMC, which is based on the formalism presented in the first paper of this series (Paper I). This data base contains overwhelmingly experimental nuclear physics information. The survey of literature for this review was concluded in November 2009.

Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

2010-04-23T23:59:59.000Z

354

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

355

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

356

Conversion of three-dimensional graphic building models into input data for building energy calculation program  

E-Print Network [OSTI]

and total floor area using the revision screens must to be emphasized. Figures 6 and 7 show the EnerCAD 92. 06 revision screens. 28 1. Proj. : OFFICE BUILDING 2. Site: ROCHESTER, NBW YORK 8 3. Rev. No. : SAMPLE CASE PAGE 1 4. Building Type: Office... and E. ter for MAIN MENU 08-30-1993 00 46 34 Fig. 6. EnerCAD 92. 06 first revision screen Proj . OFFICE BUILDING Sate. ROCHESTER, NEW YORK 4 Rev. No SAMpLE CAsE PAGE 2 The followrng d:faults were derrved f om your Input. Occ p ol' = 290 persors H W...

Hayek, Raja Fares

2012-06-07T23:59:59.000Z

357

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

358

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

359

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.

360

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.

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 Sky Imager (TSI) Handbook  

SciTech Connect (OSTI)

The total sky imager (TSI) provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees.

Morris, VR

2005-06-01T23:59:59.000Z

362

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

363

DOE Seeks Input On Addressing Contractor Pension and Medical Benefits  

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

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.

364

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

365

Formalization of computer input and output: the Hadley model  

Science Journals Connector (OSTI)

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

Matthew Gerber; John Leeson

2004-01-01T23:59:59.000Z

366

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

367

FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS,  

E-Print Network [OSTI]

FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Prepared For be divided into two parts: · Well-to-Tank (WTT) Feedstock extraction, transport, storage, processing, distribution, transport, and storage · Tank-to-Wheels (TTW) Refueling, consumption and evaporation The full

368

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks,  

E-Print Network [OSTI]

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks, and the Role of Global, Exporting, Knowledge and Technological Change Abstract Why do some firms create more knowledge than others stock of knowledge. But there is very little empirical evidence on production functions for new ideas

Sadoulet, Elisabeth

369

Fast RNA Structure Alignment for Crossing Input Rolf Backofena  

E-Print Network [OSTI]

is to predict for every input sequence the minimum free-energy non-crossing structure (in O(n3 ) time function. Since the structure of RNA is evolu- tionarily more conserved than its sequence, predicting a folding with minimal free energy [5, 6, 7, 8, 9]. Albeit this so-named thermodynamic approach is a success

Tsur, Dekel

370

Input to review of STFC UK Nuclear Physics Community  

E-Print Network [OSTI]

Input to review of STFC UK Nuclear Physics Community Introduction STFC covers essentially and project funding for Astronomy, Nuclear Physics, Particle Physics and Space Science Since STFC was formed programme. Grant funding Nuclear Physics grant funding was in EPSRC until 2007 and then moved to STFC

Crowther, Paul

371

Global sensitivity analysis of computer models with functional inputs  

E-Print Network [OSTI]

function. Lastly, the new methodology is applied to an industrial computer code that simulates the nuclear with scalar input variables. For example, in the nuclear engineering domain, global SA tools have been applied (Helton et al. [7]), environmental model of dose calculations (Iooss et al. [10]), reactor dosimetry

Boyer, Edmond

372

Toward a Theory of Input Acceptance for Transactional Memories  

E-Print Network [OSTI]

-core architectures requires numerous events to be treated upon reception. In fact, the transactional code executed, experimental validation compares the presented TM designs in terms of input acceptance with realistic workloads database systems transac- tional events can be buffered on the server-side before treatment

Guerraoui, Rachid

373

The Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions  

E-Print Network [OSTI]

that generates variable magnitude variable frequency output voltage from the ac utility line. It has high power voltage disturbance related performance issues of the MC drive. Since the MC is a direct frequencyThe Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions Jun-Koo Kang

Hava, Ahmet

374

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

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

375

Injuries and Illnesses of Big Game Hunters in Western Colorado: A 9-Year Analysis  

Science Journals Connector (OSTI)

Category 1 Continuing Medical Education credit for physicians is available to Wilderness Medical Society members for this article. Go to http://wms.org/cme/cme.asp?whatarticle=1811 to access the instructions and test questions.Objective The purpose of this study was to characterize big game hunter visits to a rural hospital's emergency department (ED). Using data collected on fatalities, injuries, and illnesses over a 9-year period, trends were noted and comparisons made to ED visits of alpine skiers, swimmers, and bicyclists. Out-of-hospital hunter fatalities reported by the county coroner's office were also reviewed. Cautionary advice is offered for potential big game hunters and their health care providers. Methods Self-identified hunters were noted in the ED log of a rural Colorado hospital from 1997 to 2005, and injury or illness and outcome were recorded. Additional out-of-hospital mortality data were obtained from the county coroner's office. The estimated total number of big game hunters in the hospital's service area and their average days of hunting were reported by the Colorado Division of Wildlife. The frequencies of hunters illnesses, injuries, and deaths were calculated. Results A total of 725 ED visitsan average of 80 per yearwere recorded. Nearly all visits were in the prime hunting months of September to November. Twenty-seven percent of the hunter ED patients were Colorado residents, and 73% were from out of state. Forty-five percent of the visits were for trauma, 31% for medical illnesses, and 24% were labeled other. The most common medical visits (105) were for cardiac signs and symptoms, and all of the ED deaths (4) were attributed to cardiac causes. The most common trauma diagnosis was laceration (151), the majority (113) of which came from accidental knife injuries, usually while the hunter was field dressing big game animals. Gunshot wounds (4, <1%) were rare. Horse-related injuries to hunters declined while motor vehicle and all-terrain vehicle (ATV)related injuries increased. The five out-of-hospital deaths were cardiac related (3), motor vehicle related (1), and firearm related (1). Conclusions Fatal outcomes in big game hunters most commonly resulted from cardiac diseases. Gunshot injuries and mortalities were very low in this population. Knife injuries were common. Hunters and their health care providers should consider a thorough cardiac evaluation prior to big game hunts. Hunter safety instructors should consider teaching aspects of safe knife use. Consideration should be given to requiring and improving ATV driver education.

Allan D. Reishus

2007-01-01T23:59:59.000Z

376

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."

377

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

378

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.

379

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):

380

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.

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

Performance Period Total Fee Paid  

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

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:

382

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"

383

ARM - Measurement - Total cloud water  

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

384

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

385

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

386

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):

387

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

388

Solar total energy project Shenandoah  

SciTech Connect (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

389

Grantee Total Number of Homes  

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

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

390

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.

391

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:

392

Total quality management implementation guidelines  

SciTech Connect (OSTI)

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

393

Characterization of industrial process waste heat and input heat streams  

SciTech Connect (OSTI)

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

394

A comparative study of avionics control input methods  

E-Print Network [OSTI]

Standardization of avionics locations in early models of small general aviation aircraft was almost non-existent, due largely to limited panel space and lack of human engineering considerations. Aircraft were typically purchased with a limited avionics package... Major Subject: Industrial Engineering A COMPARATIVE STUDY OF AVIONICS CONTROL INPUT METHODS A Thesis by JOHN ROBERT BARBER, JR. Approved as to style and content by: C airman of C ittee Dr. R. Dale H ingson Co-ch i n Dr. Rodger J. Koppa Member...

Barber, John Robert

1984-01-01T23:59:59.000Z

395

Total Heart Transplant: A Modern Overview  

E-Print Network [OSTI]

use of the total artificial heart. New England Journal ofJ. (1997). Artificial heart transplants. British medicala total artificial heart as a bridge to transplantation. New

Lingampalli, Nithya

2014-01-01T23:59:59.000Z

396

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:

397

Quantum Monte Carlo calculations of electromagnetic moments and transitions in A{<=}9 nuclei including meson-exchange currents derived from chiral effective field theory  

SciTech Connect (OSTI)

Quantum Monte Carlo calculations of electromagnetic moments and transitions are reported for A{<=}9 nuclei. The realistic Argonne v{sub 18} two-nucleon and Illinois-7 three-nucleon potentials are used to generate the nuclear wave functions. Contributions of two-body meson-exchange current (MEC) operators are included for magnetic moments and M1 transitions. The MEC operators have been derived in both a standard nuclear physics approach and a chiral effective field theory formulation with pions and nucleons including up to one-loop corrections. The two-body MEC contributions provide significant corrections and lead to very good agreement with experiment. Their effect is particularly pronounced in the A=9, T=3/2 systems, in which they provide up to ~20% (~40%) of the total predicted value for the {sup 9}Li ({sup 9}C) magnetic moment.

Saori Pastore, S.C. Pieper, Rocco Schiavilla, Robert Wiringa

2013-03-01T23:59:59.000Z

398

US Nuclear Regulatory Commission Input to DOE Request for Information Smart  

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

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

399

Residential oil burners with low input and two stages firing  

SciTech Connect (OSTI)

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

400

Heat transfer analysis in Stirling engine heat input system  

SciTech Connect (OSTI)

One of the major factor in commercialization of Stirling engine is mass productivity, and the heat input system including tubular heater is one of the obstacles to mass production because of its complexity in shape and difficulty in manufacturing, which resulted from using oxidation-resistant, low-creep alloys which are not easy to machine and weld. Therefore a heater heat exchanger which is very simple in shape and easy to make has been devised, and a burner system appropriate to this heater also has been developed. In this paper specially devised heat input system which includes a heater shell shaped like U-cup and a flame tube located in the heater shell is analyzed in point of heat transfer processes to find optimum heat transfer. To enhance the heat transfer from the flame tube to the heater shell wall, it is required that the flame tube diameter be enlarged as close to the heater shell diameter as possible, and the flame tube temperature be raised as high as possible. But the enlargement of the flame tube diameter should be restricted by the state of combustion affected by hydraulic resistance of combustion gas, and the boost of the flame tube temperature should be considered carefully in the aspects of the flame tube`s service life.

Chung, W.; Kim, S. [LG Electronics Inc., Seoul (Korea, Republic of). Living System Lab.

1995-12-31T23:59:59.000Z

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.


401

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

402

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

403

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

404

Total Petroleum Systems and Assessment Units (AU)  

E-Print Network [OSTI]

Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Surface water Groundwater X X X X X X X X AU 00000003 Oil/ Gas X X X X X X X X Total X X X X X X X Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Total undiscovered petroleum (MMBO or BCFG) Water per oil

Torgersen, Christian

405

Locating and total dominating sets in trees  

Science Journals Connector (OSTI)

A set S of vertices in a graph G = ( V , E ) is a total dominating set of G if every vertex of V is adjacent to a vertex in S. We consider total dominating sets of minimum cardinality which have the additional property that distinct vertices of V are totally dominated by distinct subsets of the total dominating set.

Teresa W. Haynes; Michael A. Henning; Jamie Howard

2006-01-01T23:59:59.000Z

406

Locating-total domination in graphs  

Science Journals Connector (OSTI)

In this paper, we continue the study of locating-total domination in graphs. A set S of vertices in a graph G is a total dominating set in G if every vertex of G is adjacent to a vertex in S . We consider total dominating sets S which have the additional property that distinct vertices in V ( G ) ? S are totally dominated by distinct subsets of the total dominating set. Such a set S is called a locating-total dominating set in G , and the locating-total domination number of G is the minimum cardinality of a locating-total dominating set in G . We obtain new lower and upper bounds on the locating-total domination number of a graph. Interpolation results are established, and the locating-total domination number in special families of graphs, including cubic graphs and grid graphs, is investigated.

Michael A. Henning; Nader Jafari Rad

2012-01-01T23:59:59.000Z

407

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.

408

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.

409

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

410

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm'...  

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

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...

411

U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site...  

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

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...

412

V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...  

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

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...

413

V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...  

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

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...

414

T-602: BlackBerry Enterprise Server Input Validation Flaw in...  

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

02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

415

Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results  

Science Journals Connector (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

416

Time-lag of record inputs to the international nuclear information system bibliographic database  

Science Journals Connector (OSTI)

This paper discusses the timeliness in inputting bibliographical records to international databases with a case study of the international nuclear information system bibliographic database from the inception (1970) to the year 2008. The authors have attempted to calculate the overall and average inputting time-lag of the database. The time-lags of inputting countries and international organisations are analysed separately. The study also tries to identify the nature of inputs that are responsible for this delayed response.

E.R. Prakasan; Nita Bhaskar; K. Bhanumurthy

2011-01-01T23:59:59.000Z

417

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total 2012 Total Electric Industry- Average Retail Price (centskWh) (Data from...

418

Total cost model for making sourcing decisions  

E-Print Network [OSTI]

This thesis develops a total cost model based on the work done during a six month internship with ABB. In order to help ABB better focus on low cost country sourcing, a total cost model was developed for sourcing decisions. ...

Morita, Mark, M.B.A. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

419

We have developed a software system that takes standard electro-cardiogram (ECG) input and interprets this input along with user-  

E-Print Network [OSTI]

a software system that takes standard electro- cardiogram (ECG) input and interprets this input along months 30 patients were monitored using a digital ECG system and this information was used to test that T wave inversions are sometimes seen on normal ECGs. Control ECGs of normal hearts were also taken

O'Sullivan, Carol

420

Team Total Points Beta Theta Pi 2271  

E-Print Network [OSTI]

Bubbles 40 Upset City 30 Team Success 30 #12;Team Total Points Sly Tye 16 Barringer 15 Fire Stinespring 15

Buehrer, R. Michael

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

,"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"

422

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

423

Interface module for transverse energy input to dye laser modules  

DOE Patents [OSTI]

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

424

U-001:Symantec IM Manager Input Validation Flaws | Department of Energy  

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

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

425

Million Cu. Feet Percent of National Total  

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

38 38 Nevada - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S30. Summary statistics for natural gas - Nevada, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 4 4 4 3 4 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 4 4 4 3 4

426

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Idaho - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

427

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Washington - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

428

Million Cu. Feet Percent of National Total  

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

0 0 Maine - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

429

Million Cu. Feet Percent of National Total  

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

8 8 Minnesota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

430

Million Cu. Feet Percent of National Total  

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

2 2 South Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

431

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 North Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

432

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Iowa - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S17. Summary statistics for natural gas - Iowa, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

433

Million Cu. Feet Percent of National Total  

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

4 4 Massachusetts - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

434

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Minnesota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

435

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 New Jersey - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

436

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Vermont - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S47. Summary statistics for natural gas - Vermont, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

437

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Wisconsin - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S51. Summary statistics for natural gas - Wisconsin, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

438

Million Cu. Feet Percent of National Total  

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

8 8 North Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

439

Million Cu. Feet Percent of National Total  

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

2 2 New Jersey - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

440

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Maryland - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 7 7 7 7 8 Production (million cubic feet) Gross Withdrawals From Gas Wells 35 28 43 43 34 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 35

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441

Million Cu. Feet Percent of National Total  

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

0 0 New Hampshire - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S31. Summary statistics for natural gas - New Hampshire, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

442

Million Cu. Feet Percent of National Total  

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

2 2 Maryland - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 7 7 7 8 9 Production (million cubic feet) Gross Withdrawals From Gas Wells 28 43 43 34 44 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 28

443

Million Cu. Feet Percent of National Total  

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

2 2 Missouri - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S27. Summary statistics for natural gas - Missouri, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 53 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

444

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Massachusetts - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

445

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 South Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

446

Million Cu. Feet Percent of National Total  

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

0 0 Rhode Island - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S41. Summary statistics for natural gas - Rhode Island, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

447

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.

448

Compare All CBECS Activities: Total Energy Use  

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

Total Energy Use Total Energy Use Compare Activities by ... Total Energy Use Total Major Fuel Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 5.7 quadrillion Btu of all major fuels (electricity, natural gas, fuel oil, and district steam or hot water) in 1999. Office buildings used the most total energy of all the building types, which was not a surprise since they were the most common commercial building type and had an above average energy intensity. Figure showing total major fuel consumption by building type. If you need assistance viewing this page, please call 202-586-8800. Major Fuel Consumption per Building by Building Type Because there were relatively few inpatient health care buildings and they tend to be large, energy intensive buildings, their energy consumption per building was far above that of any other building type.

449

TotalView Parallel Debugger at NERSC  

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

Totalview Totalview Totalview Description TotalView from Rogue Wave Software is a parallel debugging tool that can be run with up to 512 processors. It provides both X Windows-based Graphical User Interface (GUI) and command line interface (CLI) environments for debugging. The performance of the GUI can be greatly improved if used in conjunction with free NX software. The TotalView documentation web page is a good resource for learning more about some of the advanced TotalView features. Accessing Totalview at NERSC To use TotalView at NERSC, first load the TotalView modulefile to set the correct environment settings with the following command: % module load totalview Compiling Code to Run with TotalView In order to use TotalView, code must be compiled with the -g option. We

450

"Table A10. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel"  

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

0. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" 0. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" " Oil for Selected Purposes by Census Region and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Barrels per Day)" ,,,," Inputs for Heat",,," Primary Consumption" " "," Primary Consumption for all Purposes",,," Power, and Generation of Electricity",,," for Nonfuel Purposes",,,"RSE" ," ------------------------------------",,," ------------------------------------",,," -------------------------------",,,"Row" "Economic Characteristics(a)","LPG","Distillate(b)","Residual","LPG","Distillate(b)","Residual","LPG","Distillate(b)","Residual","Factors"

451

,"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"

452

,"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"

453

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

454

Digital Signal Processing using Stream High Performance Computing: A 512-input Broadband Correlator for Radio Astronomy  

E-Print Network [OSTI]

A "large-N" correlator that makes use of Field Programmable Gate Arrays and Graphics Processing Units has been deployed as the digital signal processing system for the Long Wavelength Array station at Owens Valley Radio Observatory (LWA-OV), to enable the Large Aperture Experiment to Detect the Dark Ages (LEDA). The system samples a ~100MHz baseband and processes signals from 512 antennas (256 dual polarization) over a ~58MHz instantaneous sub-band, achieving 16.8Tops/s and 0.236 Tbit/s throughput in a 9kW envelope and single rack footprint. The output data rate is 260MB/s for 9 second time averaging of cross-power and 1 second averaging of total-power data. At deployment, the LWA-OV correlator was the largest in production in terms of N and is the third largest in terms of complex multiply accumulations, after the Very Large Array and Atacama Large Millimeter Array. The correlator's comparatively fast development time and low cost establish a practical foundation for the scalability of a modular, heterogeneo...

Kocz, J; Barsdell, B R; Price, D; Bernardi, G; Bourke, S; Clark, M A; Craig, J; Dexter, M; Dowell, J; Eftekhari, T; Ellingson, S; Hallinan, G; Hartman, J; Jameson, A; MacMahon, D; Taylor, G; Schinzel, F; Werthimer, D

2014-01-01T23:59:59.000Z

455

Million Cu. Feet Percent of National Total  

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

6 6 Tennessee - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 285 310 230 210 212 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,700 5,478 5,144 4,851 5,825 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

456

Million Cu. Feet Percent of National Total  

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

2 2 Connecticut - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

457

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Oregon - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 18 21 24 26 24 Production (million cubic feet) Gross Withdrawals From Gas Wells 409 778 821 1,407 1,344 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

458

Million Cu. Feet Percent of National Total  

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

6 6 District of Columbia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

459

Million Cu. Feet Percent of National Total  

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

6 6 Oregon - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 21 24 26 24 27 Production (million cubic feet) Gross Withdrawals From Gas Wells 778 821 1,407 1,344 770 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

460

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Georgia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Delaware - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

462

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 District of Columbia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

463

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Tennessee - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 305 285 310 230 210 Production (million cubic feet) Gross Withdrawals From Gas Wells NA 4,700 5,478 5,144 4,851 From Oil Wells 3,942 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

464

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Nebraska - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S29. Summary statistics for natural gas - Nebraska, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 186 322 285 276 322 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,331 2,862 2,734 2,092 1,854 From Oil Wells 228 221 182 163 126 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

465

Million Cu. Feet Percent of National Total  

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

0 0 Georgia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

466

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Connecticut - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

467

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Florida - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 2,000 2,742 290 13,938 17,129 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

468

Million Cu. Feet Percent of National Total  

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

4 4 Delaware - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

469

ARM - Measurement - Shortwave spectral total downwelling irradiance  

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

Shadowband Spectroradiometer SPEC-TOTDN : Shortwave Total Downwelling Spectrometer UAV-EGRETT : UAV-Egrett Value-Added Products VISST : Minnis Cloud Products Using Visst...

470

,"New York Natural Gas Total Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

471

Total Supplemental Supply of Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Product: Total Supplemental Supply Synthetic Propane-Air Refinery Gas Biomass Other Period: Monthly Annual Download Series History Download Series History Definitions, Sources &...

472

Total Natural Gas Gross Withdrawals (Summary)  

Gasoline and Diesel Fuel Update (EIA)

Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to...

473

Million Cu. Feet Percent of National Total  

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

0 0 Indiana - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 525 563 620 914 819 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,701 4,927 6,802 9,075 8,814 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

474

The SCALE Verified, Archived Library of Inputs and Data - VALID  

SciTech Connect (OSTI)

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] [ORNL; Rearden, Bradley T [ORNL] [ORNL

2013-01-01T23:59:59.000Z

475

V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting  

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

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

476

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

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

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

477

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

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

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"

478

U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting  

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

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

479

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

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

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

480

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

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

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"

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-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName'  

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

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

482

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

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

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

483

New Physics Search with Precision Experiments: Theory Input  

E-Print Network [OSTI]

The best way to search for new physics is by using a diverse set of probes - not just experiments at the energy and the cosmic frontiers, but also the low-energy measurements relying on high precision and high luminosity. One example of such ultra-precision experiments is the MOLLER experiment planned at JLab, which will measure the parity-violating electron-electron scattering asymmetry and allow a determination of the weak mixing angle with a factor of five improvement in precision over its predecessor, E-158. At this precision, any inconsistency with the Standard Model should signal new physics. The paper will explore how new physics particles enter at the next-to-leading order one-loop level. For MOLLER we analyze the effects of dark Z'-boson on the total calculated asymmetry, and show how this new physics interaction carriers may influence the analysis of the future experimental results.

Aleksejevs, A; Wu, S; Zykunov, V

2014-01-01T23:59:59.000Z

484

Total Synthesis of Irciniastatin A (Psymberin)  

E-Print Network [OSTI]

Total Synthesis of Irciniastatin A (Psymberin) Michael T. Crimmins,* Jason M. Stevens, and Gregory, North Carolina 27599 crimmins@email.unc.edu Received July 21, 2009 ABSTRACT The total synthesis of a hemiaminal and acid chloride to complete the synthesis. In 2004, Pettit and Crews independently reported

485

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION  

E-Print Network [OSTI]

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION BERND WITTGENS, RAJAB LITTO, EVA S RENSEN a generalization of previously proposed batch distillation schemes. A simple feedback control strategy for total re verify the simulations. INTRODUCTION Although batch distillation generally is less energy e cient than

Skogestad, Sigurd

486

Summary of Input to DOE Request for Information DE-FOA-0000225  

Broader source: Energy.gov [DOE]

Presentation on Sumary of Input to DOE Request for Information DE-FOA-0000225 - U.S. DOE Fuel Cells Technology Program

487

Fossil energy use in conventional and low-external-input cropping systems.  

E-Print Network [OSTI]

??The production of fossil fuels will crest within the next decade and with reliance of modern conventional agriculture on fossil fuel energy inputs, food production (more)

Cruse, Michael James

2009-01-01T23:59:59.000Z

488

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

E-Print Network [OSTI]

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

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

2009-01-01T23:59:59.000Z

489

E-Print Network 3.0 - alpha motoneurone input Sample Search Results  

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

such as input resistance (Ri,), membrane time constant (T... Spinalization on Ankle Extensor Motoneurons II. Motoneuron Electrical Properties S. HOCHMAN AND D. A. Mc......

490

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

Science Journals Connector (OSTI)

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

Gustavo Carvalho; Augusto Sampaio

2013-01-01T23:59:59.000Z

491

Factors Controlling the Input of Electrical Energy into a Fish in an ...  

Science Journals Connector (OSTI)

In order to determine the electrical energy - input into a fish, both voltage and resistance, as applied to the fish itself, should be known. Neither of these quantities...

1999-12-13T23:59:59.000Z

492

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

E-Print Network [OSTI]

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

Gerber, Matthew

2005-01-01T23:59:59.000Z

493

U.S. Refinery & 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 526,996 566,851 559,032 581,600 578,456 543,388 1981-2013 Crude Oil 445,937 474,296 474,991 497,241 489,887 468,825 1981-2013 Natural Gas Plant Liquids and Liquefied Refinery Gases 12,805 11,759 12,769 13,227 13,760 16,794 1981-2013 Pentanes Plus 4,949 4,341 4,752 4,734 5,331 5,666 1981-2013 Liquefied Petroleum Gases 7,856 7,418 8,017 8,493 8,429 11,128 1981-2013 Ethane 1981-1992 Normal Butane 2,668 1,880 1,998 2,014 2,083 4,711 1981-2013 Isobutane 5,188 5,538 6,019 6,479 6,346 6,417 1981-2013 Other Liquids 68,254 80,796 71,272 71,132 74,809 57,769 1981-2013 Hydrogen/Oxygenates/Renewables/ Other Hydrocarbons 32,667 34,665 34,097 35,446 36,356 33,881 1981-2013

494

U.S. Refinery & 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 6,204,500 6,277,893 6,169,893 6,345,372 6,422,710 6,406,693 1981-2012 Crude Oil 5,532,097 5,361,287 5,232,656 5,374,094 5,404,347 5,489,516 1981-2012 Natural Gas Plant Liquids and Liquefied Refinery Gases 184,383 177,559 177,194 161,479 178,884 186,270 1981-2012 Pentanes Plus 64,603 55,497 59,100 56,686 63,385 63,596 1981-2012 Liquefied Petroleum Gases 119,780 122,062 118,094 104,793 115,499 122,674 1981-2012 Ethane 1981-1992 Normal Butane 48,292 50,024 48,509 43,802 47,571 52,246 1981-2012 Isobutane 71,488 72,038 69,585 60,991 67,928 70,428 1981-2012 Other Liquids 488,020 739,047 760,043 809,799 839,479 730,907 1981-2012 Hydrogen/Oxygenates/Renewables/ Other Hydrocarbons

495

Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels  

E-Print Network [OSTI]

Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels Fernando P procedure that generalizes the mercury/waterfilling algorithm, previously proposed for parallel non-interfering chan- nels. In this generalization the mercury level accounts for the sub- optimal (non-Gaussian) input

Verdú, Sergio

496

April 3-4, 2007/ARR Engineering Input to System Code and  

E-Print Network [OSTI]

with providing input to system code - Assessing high-leverage engineering parameters to guide integrated trade 3-4, 2007/ARR 2 Schematic of ARIES Next Step Study as I Understand It (TBD) Design Requirements to Demonstrate Those System Code Development and Integration (ARIES-AT as starting point) Translating Input to

Raffray, A. René

497

Polar study of ionospheric ion outflow versus energy input Yihua Zheng,1  

E-Print Network [OSTI]

versus energy input is performed by using multi- instrument data (TIDE, EFI, MFI, HYDRA) from PolarPolar study of ionospheric ion outflow versus energy input Yihua Zheng,1 Thomas E. Moore,2 Forrest/6 Hz), the electron density, temperature, and the electron energy flux. The perturbation fields used

California at Berkeley, University of

498

Pinch-drag-flick vs. spatial input: rethinking zoom & pan on mobile displays  

Science Journals Connector (OSTI)

The multi-touch-based pinch to zoom, drag and flick to pan metaphor has gained wide popularity on mobile displays, where it is the paradigm of choice for navigating 2D documents. But is finger-based navigation really the gold standard' In this paper, ... Keywords: mobile displays, multi-touch input, spatial input, spatially aware displays, user study

Martin Spindler; Martin Schuessler; Marcel Martsch; Raimund Dachselt

2014-04-01T23:59:59.000Z

499

Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception  

E-Print Network [OSTI]

Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception Juan Huang1 are integrated in humans performing a musical meter recognition task. Subjects discriminated between two types coherent meter percepts, and 3) Simultaneously presented bimodal inputs where the two channels contained

Wang, Xiaoqin

500

Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis and Ran Ginosar  

E-Print Network [OSTI]

1 Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis, Israel [ran@ee.technion.ac.il] Abstract: Novel Gate-Diffusion Input (GDI) circuits are applied to asynchronous design. A variety of GDI implementations are compared with typical CMOS asynchronous circuits

Ginosar, Ran