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1

Kilo Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Kilo Geothermal Area Kilo Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Kilo Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65.8101865,"lon":-151.2360627,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

2

Conversion Tables  

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

Carbon Dioxide Information Analysis Center - Conversion Tables Carbon Dioxide Information Analysis Center - Conversion Tables Contents taken from Glossary: Carbon Dioxide and Climate, 1990. ORNL/CDIAC-39, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee. Third Edition. Edited by: Fred O'Hara Jr. 1 - International System of Units (SI) Prefixes 2 - Useful Quantities in CO2 3 - Common Conversion Factors 4 - Common Energy Unit Conversion Factors 5 - Geologic Time Scales 6 - Factors and Units for Calculating Annual CO2 Emissions Using Global Fuel Production Data Table 1. International System of Units (SI) Prefixes Prefix SI Symbol Multiplication Factor exa E 1018 peta P 1015 tera T 1012 giga G 109 mega M 106 kilo k 103 hecto h 102 deka da 10 deci d 10-1 centi c 10-2

3

POWERS OF TEN 10 deka (da)  

E-Print Network (OSTI)

AND ENERGY FLOW Reference energy measure: 1joule (J) 1 British thermal unit (Btu) = 1 kJ 1 million Btu = 1 Celsius + 273.15 #12;ENERGY: REFERENCE NUMBERS APPROXIMATE VALUES OF THE MOST COMMON MEASURES OF ENERGY,000,000,000 gigajoules = 1 exajoule Reference energy-flow measure: 1 watt (W) = 1joule per second 1 million bbl of oil

Kammen, Daniel M.

4

Drop of coherence of the lower kilo-Hz QPO in neutron stars: is there a link with the innermost stable circular orbit?  

E-Print Network (OSTI)

Using all available archival data from the Rossi X-ray Timing Explorer (RXTE), we follow the frequency of the kilo-Hz QPOs in three low luminosity neutron star low mass X-ray binaries; namely 4U 1636-536, 4U 1608-522, and 4U1735-44. Following earlier work, we focus our analysis on the lower kilo-Hz QPO, for which we study the dependency of its quality factor (Q) amplitude as a function of frequency over a range covering from 500 Hz to 1000 Hz. As previously found for 4U 1636-536, we show that the quality factor of the lower kilo-Hz increases with frequency up to a maximum frequency around 800 Hz, beyond which an abrupt drop of its coherence is observed down to a limiting frequency where the QPO disappears completely. Simultaneously the amplitude of the QPOs is almost constant below the peak frequency and starts to decrease smoothly afterwards. The peak frequency is 850 Hz, 820 Hz, 740 Hz whereas the limiting frequency is 920 Hz, 900 Hz and 830 Hz for 4U 1636-536, 4U 1608-522 and 4U 1735-44 respectively. A ceiling of the lower QPO frequencies is also seen clearly in a frequency versus count rate diagram for all sources. This behavior is reproducible within an object and between objects. We suggest here that the drop of coherence of the lower QPO may be a geometry-related effect, which could be related to the last stable circular orbit.

Didier Barret; Jean-Francois Olive; M. Coleman Miller

2005-10-04T23:59:59.000Z

5

Personalized estimation of dose to red bone marrow and the associated leukaemia risk attributable to pelvic kilo-voltage cone beam computed tomography scans in image-guided radiotherapy  

Science Journals Connector (OSTI)

The aim of this study is to investigate the imaging dose to red bone marrow (RBM) and the associated leukaemia risks attributable to pelvic kilo-voltage cone beam computed tomography (kVCBCT) scans in image-guided radiation therapy (IGRT). The RBM doses of 42 patients (age 2.7–86.4 years) were calculated using Monte Carlo simulations. The trabecular spongiosa was segmented to substitute RBM rather than the whole bone. Quantitative correlations between anthropometric variables such as age, physical bone density (PBD) and RBM dose were established. Personalized leukaemia risk was evaluated using an improved Boice model which included the age-associated RBM involvement. An incremental leukaemia risk of 29%–82% (mean = 45%) was found to be associated with 40 pelvic kVCBCT scans in the subject group used in a typical external beam radiation therapy course. Higher risks were observed in children. Due to the enhanced photoelectric effect in high atomic number materials, PBD was observed to strongly affect the RBM dose. Considerable overestimations (9%–42%, mean = 28%) were observed if the whole bone doses were used as surrogates of RBM doses. The personalized estimation of RBM dose and associated leukaemia risk caused by pelvic kVCBCT scans is clinically feasible with the proposed empirical models. Higher radiogenic cancer risks are associated with repeated kVCBCT scans in IGRT of cancer patients, especially children.

Yibao Zhang; Yulong Yan; Ravinder Nath; Shanglian Bao; Jun Deng

2012-01-01T23:59:59.000Z

6

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Pennsylvania" Pennsylvania" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",165683,162367,166034,166201,169029,168942,175022,177167,173903,161596,97076,27634,30537,30099,33900,1058,1311,1077,1225,1160,1087 " Independent Power Producers",784,1158,1892,2839,3331,4161,5191,4742,5231,21630,93924,158605,164018,165678,170336,205816,205075,212668,209081,205083,213653 " Combined Heat and Power, Electric",4587,4726,6302,6692,6588,7129,7301,7239,7732,7107,6558,6171,5718,6774,6676,7629,8854,9033,8978,10278,12168 "Electric Power Sector Generation Subtotal",171054,168251,174228,175731,178948,180232,187513,189147,186867,190333,197557,192410,200274,202551,210912,214503,215240,222778,219284,216521,226908

7

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Oregon" Oregon" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",49172,46298,41220,40743,37490,44031,47884,49068,46352,51698,46060,38060,39732,38578,39093,37407,43069,43203,44591,42703,41143 " Independent Power Producers",370,330,335,427,399,429,457,511,510,583,496,467,718,4003,4801,4493,4055,4269,5801,6621,6953 " Combined Heat and Power, Electric",250,324,300,326,276,276,2032,2166,3686,3916,4464,5675,5842,5358,5891,5947,4831,6181,6952,6386,6421 "Electric Power Sector Generation Subtotal",49792,46952,41855,41496,38165,44736,50373,51746,50549,56196,51020,44201,46292,47939,49785,47847,51955,53653,57344,55710,54516

8

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Idaho" Idaho" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",8618,8282,6260,9023,7303,10063,12231,13512,11978,12456,10114,6667,8164,7733,7766,8032,10495,8612,8894,9978,8589 " Independent Power Producers",498,464,394,693,613,927,1053,1164,958,1043,855,1696,681,1788,2175,1895,2042,2098,2361,2324,2674 " Combined Heat and Power, Electric",81,81,81,83,81,79,98,205,215,209,194,201,245,245,248,240,214,177,134,192,156 "Electric Power Sector Generation Subtotal",9197,8827,6736,9799,7997,11069,13381,14881,13150,13708,11163,8564,9090,9765,10188,10167,12751,10888,11389,12494,11419

9

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

California" California" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",114528,104968,119310,125782,126749,121881,114706,112183,114926,87875,85856,70133,74588,81728,75177,89348,100338,87349,83347,85124,96940 " Independent Power Producers",15407,17428,17919,20462,18752,18957,19080,18587,31929,57912,78996,88665,63545,65429,75928,68721,76509,82491,85067,80767,69294 " Combined Heat and Power, Electric",17547,19021,21149,21598,21642,21691,21513,21932,23267,22964,23410,21305,26976,25458,24567,23459,21399,22342,21535,21009,19582 "Electric Power Sector Generation Subtotal",147482,141418,158378,167842,167143,162529,155299,152701,170122,168751,188263,180103,165109,172616,175672,181527,198247,192181,189949,186900,185816

10

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Colorado" Colorado" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",31313,31038,31899,32687,33324,32674,33972,34376,35471,36167,40108,41958,41510,41226,40436,41015,42056,42353,41177,37468,39584 " Independent Power Producers",226,206,218,231,246,237,267,298,308,178,790,1667,961,2877,5596,6834,7004,9680,10629,11515,9937 " Combined Heat and Power, Electric",930,984,1012,1013,1775,2427,2632,2726,2850,2897,3044,2958,2866,2314,1685,1643,1533,1782,1545,1531,1135 "Electric Power Sector Generation Subtotal",32469,32228,33128,33931,35345,35337,36871,37400,38630,39243,43942,46582,45337,46417,47718,49492,50593,53816,53351,50513,50656

11

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Arkansas" Arkansas" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",37053,38365,37370,38049,39548,39527,43678,42790,43199,44131,41486,44728,42873,41637,45055,40545,42068,45523,45880,45423,47108 " Independent Power Producers","-","-","*",2,1,"-","*",4,3,1,"*","*",1247,5030,3204,3997,6966,6311,5940,8786,10732 " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-","-","-","-",539,1304,1550,1436,1215,1151,847,1286,1361,1220

12

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Minnesota" Minnesota" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",41550,40428,37784,41254,40917,42503,41792,40303,43977,44154,46616,44798,48569,49576,47232,46791,46711,47793,46758,44442,45429 " Independent Power Producers",240,174,316,294,330,399,432,445,506,832,1067,1424,1206,2858,2792,3332,4136,3774,5472,5851,5909 " Combined Heat and Power, Electric","-","-","-","-","-","-","-",50,650,606,605,510,552,697,309,938,639,1143,784,628,560 "Electric Power Sector Generation Subtotal",41789,40602,38099,41548,41247,42902,42224,40798,45133,45592,48288,46732,50327,53132,50333,51062,51485,52710,53014,50921,51898

13

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Maryland" Maryland" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",31497,38215,39587,43488,43766,44659,44381,44553,48514,49324,31783,88,31,52,30,44,12,24,6,2,3 " Independent Power Producers",20,20,20,18,20,167,277,290,305,341,15801,46079,44828,48824,48457,48780,45406,46274,43748,40492,40879 " Combined Heat and Power, Electric",1227,1192,1122,1017,1067,1071,1136,1377,1405,1528,3050,2808,2835,2813,2926,3196,2902,3275,3086,2795,2237 "Electric Power Sector Generation Subtotal",32744,39427,40729,44524,44852,45896,45793,46219,50223,51193,50634,48975,47695,51689,51413,52020,48320,49573,46840,43290,43118

14

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

New York" New York" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",128655,126077,112229,106315,103763,101161,104360,108099,115840,97009,73188,58569,43466,41579,40956,39963,41599,40248,38170,35771,34633 " Independent Power Producers",2433,2411,2837,2833,3040,3142,3479,3187,3316,24869,40757,62191,76297,77979,81182,90252,86965,91333,89612,86856,89333 " Combined Heat and Power, Electric",1262,2815,6252,9652,13943,23754,22950,25109,21459,21097,21188,20401,17189,15615,13744,14475,11624,12388,10722,8866,11183 "Electric Power Sector Generation Subtotal",132350,131303,121318,118799,120746,128057,130790,136394,140615,142975,135132,141161,136952,135173,135882,144690,140187,143969,138504,131494,135150

15

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Maine" Maine" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",9064,9519,8335,8076,9016,2668,7800,3223,3549,1189,3,"-",1,1,1,1,"*",1,1,1,2 " Independent Power Producers",1880,1884,1807,1922,1911,1501,1611,1595,1805,5949,7619,12050,13006,11668,12630,13127,11091,10154,10942,10946,11278 " Combined Heat and Power, Electric",473,751,824,801,661,803,815,787,842,829,1691,2924,3212,1691,1400,730,701,702,575,479,603 "Electric Power Sector Generation Subtotal",11417,12154,10967,10799,11588,4972,10226,5605,6195,7967,9313,14975,16219,13361,14031,13858,11792,10857,11517,11426,11883

16

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Massachusetts" Massachusetts" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",36479,35802,32838,28164,27466,26972,27759,33899,26037,4360,1705,1566,1157,2056,1524,1622,943,494,507,448,803 " Independent Power Producers",1729,1772,1941,2398,2938,3577,3114,3560,12600,29003,30158,30176,34031,40102,41036,42122,41847,43406,39846,35883,38145 " Combined Heat and Power, Electric",751,2573,4422,5619,6648,6241,6139,6647,6296,6333,5981,5769,5852,5378,4053,2896,1938,2400,1444,1918,3192 "Electric Power Sector Generation Subtotal",38958,40148,39201,36180,37052,36790,37012,44105,44933,39695,37844,37511,41040,47536,46614,46640,44728,46300,41797,38249,42139

17

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Michigan" Michigan" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",89059,94567,82679,92250,83721,92479,95155,89565,85146,87875,89572,97067,100452,96634,99609,104831,97374,96786,94504,82787,89667 " Independent Power Producers",639,694,868,1186,1343,1456,1777,1679,1747,1723,1751,2399,5031,2302,2560,4337,3859,11028,10954,10449,12570 " Combined Heat and Power, Electric",6354,6702,7907,8906,9221,9611,12045,12288,11014,11080,10476,10502,10138,9917,13904,10161,9077,9327,7350,6204,7475 "Electric Power Sector Generation Subtotal",96051,101963,91455,102341,94285,103546,108977,103532,97907,100678,101800,109968,115620,108853,116073,119329,110310,117141,112807,99440,109712

18

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Ohio" Ohio" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",126510,132694,136297,133735,129021,137860,142900,141249,146448,140912,144358,135484,139904,139086,142305,102751,98159,100536,98397,93940,92198 " Independent Power Producers",9,9,9,7,3,5,5,"-","-","-",3157,5242,6421,6124,4699,52817,55836,53366,53646,40775,49722 " Combined Heat and Power, Electric",32,26,33,26,1305,20,49,44,155,117,275,268,302,382,319,328,322,350,298,472,652 "Electric Power Sector Generation Subtotal",126551,132729,136338,133768,130329,137885,142954,141293,146603,141029,147790,140995,146627,145591,147324,155896,154317,154252,152341,135187,142572

19

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Utah" Utah" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",32260,30158,32921,33461,34455,32101,32229,33969,35160,36071,35827,35139,36072,37545,37166,36695,39591,43320,44424,40992,39522 " Independent Power Producers",23,23,23,229,384,377,424,402,395,409,440,396,485,447,406,706,829,1096,976,1325,1517 " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-","-",8,9,10,11,9,7,7,11,11,-2,10,9 "Electric Power Sector Generation Subtotal",32283,30181,32943,33690,34839,32478,32653,34371,35556,36488,36276,35544,36568,38002,37579,37408,40430,44427,45398,42327,41048

20

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Vermont" Vermont" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",4993,5259,4698,4301,5294,4840,5004,5323,4394,4735,5307,4734,2971,626,643,674,803,701,753,712,721 " Independent Power Producers",134,95,132,297,282,280,309,314,508,933,958,711,2465,5396,4800,5013,6256,5121,6046,6546,5874 "Electric Power Sector Generation Subtotal",5126,5353,4830,4598,5576,5120,5313,5637,4902,5668,6265,5445,5437,6022,5444,5687,7059,5822,6799,7257,6595 " Combined Heat and Power, Industrial",38,35,40,46,41,40,37,43,45,36,38,35,20,6,27,30,25,2,21,25,25 "Industrial and Commercial Generation Subtotal",38,35,40,46,41,40,37,43,45,36,38,35,20,6,27,30,25,2,21,25,25

Note: This page contains sample records for the topic "kilo hecto deka" 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 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

United States" United States" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",2808151,2825023,2797219,2882525,2910712,2994529,3077442,3122523,3212171,3173674,3015383,2629946,2549457,2462281,2505231,2474846,2483656,2504131,2475367,2372776,2471632 " Independent Power Producers",31895,38596,45836,53396,54514,58222,60132,58741,91455,200905,457540,780592,955331,1063205,1118870,1246971,1259062,1323856,1332068,1277916,1338712 " Combined Heat and Power, Electric",61275,71942,91319,107976,123500,141480,146567,148111,153790,155404,164606,169515,193670,195674,184259,180375,165359,177356,166915,159146,162042

22

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Hawaii" Hawaii" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",7996,7333,6861,6084,6055,6191,6420,6213,6301,6452,6535,6383,7513,6493,6982,6915,7040,6928,6701,6510,6416 " Independent Power Producers",386,377,408,512,623,641,606,656,647,603,656,521,400,551,267,280,349,508,901,804,762 " Combined Heat and Power, Electric",542,146,1760,2585,2713,2809,2932,2869,2790,2782,2860,3225,3289,3640,3568,3769,3566,3525,3190,3122,2945 "Electric Power Sector Generation Subtotal",8924,7856,9030,9181,9391,9640,9958,9738,9738,9837,10051,10129,11202,10685,10818,10964,10956,10961,10792,10435,10123

23

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Nevada" Nevada" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",19286,20922,20963,19820,20519,19997,21362,22870,26553,26486,29342,27896,25009,24635,24246,24112,19686,22377,22979,26095,23711 " Independent Power Producers",764,999,1181,1552,1565,1611,1762,1831,1749,1712,3691,3535,4653,5324,11022,13955,9546,7624,9872,9393,9015 " Combined Heat and Power, Electric","-",144,1203,2130,2433,2356,2456,2331,2312,2335,2453,2445,2428,3236,2399,2146,2282,2257,1900,2013,2157 "Electric Power Sector Generation Subtotal",20051,22065,23348,23502,24518,23964,25580,27031,30614,30532,35485,33876,32089,33195,37667,40214,31515,32257,34751,37500,34883

24

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Mexico" Mexico" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",28491,25065,27708,28364,30018,29432,29364,30568,31428,31654,32856,32211,29926,31770,32243,33562,35411,34033,33845,34245,30848 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-",185,370,40,273,589,805,1291,1404,2420,4881,4912 " Combined Heat and Power, Electric",19,19,19,17,18,17,382,507,520,524,520,493,496,504,"-",479,479,472,464,477,417 "Electric Power Sector Generation Subtotal",28510,25084,27726,28382,30036,29449,29747,31075,31948,32179,33560,33074,30462,32548,32831,34846,37181,35909,36729,39603,36178

25

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Virginia" Virginia" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",47200,48941,48964,52182,52732,52727,56533,58986,63815,65071,65843,62135,62880,61806,65104,65456,61176,64317,59780,59225,58902 " Independent Power Producers",428,813,1670,2298,2313,3341,3017,2510,2285,2408,2858,4697,4828,6058,6263,5279,4636,6538,4970,5627,9303 " Combined Heat and Power, Electric",2162,2318,2886,4068,4062,3856,3952,3746,2827,3234,5344,4593,4074,4368,4509,5251,4409,4638,5020,2608,2545 "Electric Power Sector Generation Subtotal",49790,52072,53520,58547,59107,59925,63502,65242,68927,70713,74045,71426,71783,72232,75876,75986,70221,75493,69770,67461,70750

26

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Wyoming" Wyoming" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",39378,38667,41852,40155,42337,39684,40852,40765,44699,42951,44586,43764,42532,42261,43060,44032,42905,43144,43909,43182,44739 " Independent Power Producers","-","-","-","-","-","-","-","-",2,11,246,349,576,1052,1350,702,1484,1465,1627,1918,2408 "Electric Power Sector Generation Subtotal",39378,38667,41852,40155,42337,39684,40852,40765,44701,42962,44832,44113,43108,43314,44410,44734,44389,44610,45537,45100,47146 " Combined Heat and Power, Industrial",597,631,622,617,665,568,620,644,646,670,663,664,676,313,398,833,1012,1024,964,929,973

27

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Arizona" Arizona" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",62289,66767,70109,68025,71204,68967,70877,78060,81299,83096,88150,85808,81710,80348,81352,82915,84356,88826,94453,89640,91233 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-","-",3290,10954,11851,20891,16390,17617,22209,24217,21713,19954 " Combined Heat and Power, Electric","-","-","-","-",271,399,388,383,410,434,425,459,1153,1823,1874,1689,1959,1853,370,301,188

28

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

South Dakota" South Dakota" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",6427,6573,6246,5256,7991,8812,10066,12450,9089,10557,9697,7401,7722,7905,7358,6368,6989,5991,6942,7780,8682 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-","-","-","-",39,153,152,143,145,140,416,1367 "Electric Power Sector Generation Subtotal",6427,6573,6246,5256,7991,8812,10066,12450,9089,10557,9697,7401,7722,7944,7510,6521,7132,6137,7083,8196,10050 " Combined Heat and Power, Commercial","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","*","*","*"

29

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Washington" Washington" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",100479,101353,84115,83771,82348,95671,112606,117453,97128,112072,96227,67683,88568,82205,83501,83153,94067,90531,93162,90733,88057 " Independent Power Producers",177,189,312,302,336,365,324,408,350,484,6588,9454,9817,13541,15054,15287,10887,13797,14908,10531,12330 " Combined Heat and Power, Electric",8,257,706,2663,4568,4693,4204,2947,3246,3048,4065,4427,3268,3350,2583,2517,2385,1948,1860,2085,1740 "Electric Power Sector Generation Subtotal",100664,101799,85133,86736,87252,100729,117135,120808,100724,115604,106879,81564,101654,99097,101138,100956,107339,106277,109929,103349,102127

30

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Nebraska" Nebraska" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",21631,22972,22387,22724,21946,25279,27323,28388,28720,29981,29046,30412,31550,30368,31944,31392,31599,32403,32356,33776,36243 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-",165,208 " Combined Heat and Power, Electric","-","-","-","-","-","-","-",8,8,9,7,8,8,21,"*",8,4,5,5,5,6

31

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Carolina" Carolina" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",69260,69838,71479,75588,74194,78440,76326,78374,84397,87347,90421,86735,93689,91544,94407,99104,95873,99997,97921,97337,100611 " Independent Power Producers",60,38,63,58,64,61,52,55,64,40,179,497,633,278,486,735,730,771,753,430,1034 " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-",349,627,565,509,416,100,855,595,623,619,506,650,770 "Electric Power Sector Generation Subtotal",69320,69876,71541,75646,74258,78501,76378,78429,84810,88014,91165,87741,94738,91923,95747,100435,97225,101387,99179,98416,102414

32

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Indiana" Indiana" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",97738,98200,97300,99951,103485,105189,105557,110466,112772,114183,119721,114666,112030,112396,114690,117374,117644,116728,115888,103594,107853 " Independent Power Producers","-","-","-","-","-",46,70,85,788,2828,3794,3665,9879,3417,3268,3659,3488,4518,4839,4228,6464 " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-","-","-",1,12,22,5474,5630,5650,5526,5915,5301,5984,7525

33

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Oklahoma" Oklahoma" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",45063,44850,45943,48811,45381,47955,47545,48380,51454,50279,51403,50414,51218,49777,48298,54251,51917,54178,60075,57517,57421 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-","-",844,3970,4247,8913,10282,14784,14871,12651,14423,11546 " Combined Heat and Power, Electric",1017,2964,2895,3139,3381,3314,3042,3173,3539,3434,3027,2731,2622,5217,2256,2822,2642,2854,2682,2318,2382 "Electric Power Sector Generation Subtotal",46080,47814,48838,51949,48762,51269,50586,51553,54993,53712,54430,53988,57810,59240,59467,67355,69344,71902,75409,74258,71348

34

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Florida" Florida" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",123624,130744,133977,140067,141791,147157,145140,147984,169447,166914,169889,170966,182347,188035,193384,196096,200015,200534,196524,195063,206062 " Independent Power Producers",1696,2267,3025,3472,3551,4082,3903,3716,4258,4560,5676,5675,7247,8276,10334,10189,10156,11500,10142,10774,10587 " Combined Heat and Power, Electric",647,549,745,2138,5777,9333,11125,9779,9348,9526,10037,8957,9242,10335,8779,8515,8656,8420,8326,7203,6914 "Electric Power Sector Generation Subtotal",125967,133560,137746,145677,151119,160571,160168,161479,183053,181000,185602,185598,198835,206645,212497,214800,218827,220453,214992,213040,223563

35

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

West Virginia" West Virginia" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",77364,71254,72334,71078,77703,77322,83978,88284,89605,91678,89709,51609,63342,64057,59084,61242,68164,69348,66667,51709,56720 " Independent Power Producers",250,300,568,1238,1353,936,929,960,946,892,1040,28458,29373,28429,28498,30556,23959,23058,23138,17700,22757 " Combined Heat and Power, Electric","-","*",354,443,414,377,442,456,443,435,451,306,409,446,465,467,470,417,411,413,388 "Electric Power Sector Generation Subtotal",77614,71554,73256,72759,79470,78635,85349,89701,90994,93005,91200,80373,93123,92932,88047,92265,92593,92823,90216,69822,79865

36

Toward Kilo-instruction Processors ADRI AN CRISTAL, OLIVERIO J. SANTANA, and MATEO VALERO  

E-Print Network (OSTI)

access latencies. Categories and Subject Descriptors: C.1.1 [Processor Architectures]: Single Data Stream`ecnica de Catalunya, Edifici D6, Campus Nord, c/ Jordi Girona 1-3, 08034 Barcelona, Spain; email: {adrian

Martínez, José F.

37

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Rhode Island" Rhode Island" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",592,171,109,54,69,653,3301,3563,2061,9,11,"-",12,12,12,11,11,11,11,11,11 " Independent Power Producers",50,2403,4315,4037,4191,3310,3964,3552,5028,5843,5406,6990,6927,5557,4891,5957,5875,6989,7324,7633,7696 " Combined Heat and Power, Electric",422,292,291,502,400,447,379,539,518,473,506,459,71,9,"-",18,18,"-","-","-","-" "Electric Power Sector Generation Subtotal",1064,2867,4716,4594,4660,4410,7644,7654,7608,6326,5923,7449,7010,5578,4904,5987,5904,7000,7335,7644,7707

38

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

District of Columbia" District of Columbia" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",361,180,74,188,274,189,110,71,244,230,97,"-","-","-","-","-","-","-","-","-","-" " Independent Power Producers","-","-","-","-","-","-","-","-","-","-",47,123,262,74,36,226,81,75,72,35,200 "Electric Power Sector Generation Subtotal",361,180,74,188,274,189,110,71,244,230,144,123,262,74,36,226,81,75,72,35,200

39

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Delaware" Delaware" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",7100,7604,6267,8306,8501,8324,8122,6579,6318,6239,4137,1872,171,31,24,26,17,48,19,13,30 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-",1402,4429,5271,6653,6866,7078,6025,7283,5227,3695,4839 " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-","-","-","-","-","-",109,128,129,102,132,1579,675,758

40

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Connecticut" Connecticut" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",32156,23552,25154,28715,27201,26932,15774,13228,15123,20484,16993,2817,21,60,45,42,48,37,52,47,66 " Independent Power Producers",673,719,1024,1058,1099,1604,1279,1246,1461,4993,13223,25296,28878,27167,30345,31564,32431,31087,28138,28959,31185 " Combined Heat and Power, Electric",1987,2562,2671,2691,2552,2512,2289,2321,2264,2243,2401,2080,2053,1986,1966,1697,1874,1831,1956,1874,1724 "Electric Power Sector Generation Subtotal",34815,26833,28848,32463,30853,31048,19342,16795,18847,27720,32617,30193,30952,29212,32356,33303,34352,32956,30147,30880,32974

Note: This page contains sample records for the topic "kilo hecto deka" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


41

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

North Carolina" North Carolina" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",79845,83520,83007,88754,91455,96110,102787,107371,113112,109882,114433,109807,115598,118433,118329,121675,117797,123216,118778,112961,121251 " Independent Power Producers",104,431,432,429,1175,1773,1638,1793,467,474,693,810,1914,1943,1699,1863,1815,1686,1398,1341,2605 " Combined Heat and Power, Electric",2587,3470,3579,3482,3544,3965,3247,1467,3024,2835,3287,3343,3272,3575,3207,3064,2854,3034,2929,2188,2598 "Electric Power Sector Generation Subtotal",82535,87420,87018,92665,96174,101848,107671,110631,116603,113191,118414,113961,120784,123951,123234,126602,122467,127936,123105,116490,126454

42

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Mississippi" Mississippi" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",22924,23305,20488,23234,26222,26395,28838,31228,31992,32212,33896,47550,35099,31359,32838,30619,34159,34427,33796,34759,40841 " Independent Power Producers","-","-","-",3,3,3,4,5,4,257,1404,2277,5028,7308,9060,12704,10182,13718,12653,12129,11779 " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-","-","-","-",1440,1366,"-","-","-","-","-","-","-","-"

43

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Jersey" Jersey" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",36489,37029,31167,34285,31932,27088,19791,23761,35911,38868,25254,1630,1569,1910,1649,1249,1043,-191,-206,-187,-186 " Independent Power Producers",253,716,1240,1099,1408,1434,1700,1556,1138,1229,15677,41097,43924,41228,42169,46809,48723,51439,52292,52182,56686 " Combined Heat and Power, Electric",2202,3824,8384,9975,12108,13591,13156,13370,13598,13525,14104,13418,13693,12777,10705,11365,9999,10653,10740,8717,8041 "Electric Power Sector Generation Subtotal",38943,41569,40791,45359,45448,42113,34647,38687,50647,53622,55035,56145,59186,55916,54523,59422,59765,61901,62825,60712,64540

44

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Alabama" Alabama" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",76232,85051,90792,94124,95171,99589,115093,113684,113394,113909,118037,118744,123739,126846,124555,126304,124365,124273,128055,118782,122766 " Independent Power Producers",28,25,25,11,15,7,6,5,4,49,42,45,2357,4065,6127,4821,7103,9202,10683,15302,20923 " Combined Heat and Power, Electric",666,787,778,788,693,647,671,683,842,747,550,698,1459,1311,1446,2174,4683,5705,2569,4606,4243 "Electric Power Sector Generation Subtotal",76925,85863,91596,94922,95879,100244,115770,114372,114240,114704,118629,119487,127555,132221,132127,133299,136152,139180,141307,138690,147933

45

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Louisiana" Louisiana" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",58168,57158,55188,59353,60170,65555,58643,61120,66107,64837,57601,50378,54922,43485,47604,44158,40891,43523,43164,43592,51681 " Independent Power Producers",866,749,855,1434,1169,1162,1167,1253,1264,1024,11091,14007,16941,21184,18811,18095,18740,17735,18768,16746,17780 " Combined Heat and Power, Electric",1604,1581,954,1579,1606,1404,1377,1568,1664,1522,1421,1551,1650,1845,5233,8254,4165,4416,4317,4836,5083 "Electric Power Sector Generation Subtotal",60638,59488,56997,62366,62945,68121,61187,63941,69035,67383,70113,65936,73513,66513,71648,70507,63796,65674,66249,65174,74544

46

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Alaska" Alaska" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",4493,4286,4167,4581,4762,4847,4982,5108,4590,4609,4938,5416,5472,5673,5866,5946,6069,6146,6262,6167,6205 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-",80,"-","-","-" " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-",211,227,224,237,244,162,182,174,187,210,177,209,204

47

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Texas" Texas" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",234047,238343,239964,248174,255141,261709,272283,277190,293068,292458,297299,265013,149587,86882,92054,95187,94638,97260,94637,90418,95099 " Independent Power Producers",24,24,24,22,21,24,122,151,183,1072,10466,30779,138777,197114,205978,216933,224749,224719,229159,227007,232230 " Combined Heat and Power, Electric",13642,13589,14417,15794,15448,18178,19080,19891,23626,25590,28495,35618,56862,55432,49841,44759,41286,46010,45785,44780,43045 "Electric Power Sector Generation Subtotal",247713,251956,254405,263990,270610,279911,291485,297232,316877,319120,336259,331410,345226,339428,347872,356879,360674,367989,369581,362206,370374

48

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

New Hampshire" New Hampshire" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",10810,12705,13451,14586,11888,13936,15419,14264,14238,13876,12702,13095,12276,6232,6169,5638,4575,4888,4348,3788,3979 " Independent Power Producers",1135,1168,1209,1216,1130,1099,1180,1164,1360,1818,1861,1574,3385,15014,17315,18438,17297,18237,18471,16314,18163 " Combined Heat and Power, Electric",93,90,87,83,68,85,85,75,92,94,86,80,20,"-","-","-","-","-","-","-","-" "Electric Power Sector Generation Subtotal",12038,13964,14747,15885,13086,15120,16684,15504,15690,15788,14648,14749,15681,21245,23484,24076,21872,23125,22819,20103,22143

49

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Kansas" Kansas" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",33869,32315,31764,36433,37284,38230,39875,37844,41481,42003,44765,44643,46692,46156,46409,45421,44621,49256,45276,44443,45270 " Independent Power Producers",1,1,10,5,10,11,11,14,11,12,15,65,479,377,368,436,895,857,1354,2234,2654 "Electric Power Sector Generation Subtotal",33870,32316,31774,36438,37294,38242,39886,37858,41492,42015,44780,44708,47171,46532,46778,45857,45516,50114,46630,46677,47924 " Combined Heat and Power, Commercial","-","-","-","-",5,5,1,1,1,2,2,2,1,1,1,"*","-","-","-","-","-"

50

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Kentucky" Kentucky" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",73807,75505,77351,84998,84097,86162,88438,91558,86151,81658,81350,83678,80162,80697,82921,85680,86816,85259,86012,90030,97472 " Independent Power Producers","-","-","-","-","-","-","-","-",4766,11011,11503,11448,11369,10566,11097,11622,11449,11397,11316,119,171 "Electric Power Sector Generation Subtotal",73807,75505,77351,84998,84097,86162,88438,91558,90917,92669,92853,95126,91530,91263,94018,97302,98266,96656,97328,90149,97644 " Combined Heat and Power, Commercial","-","-","-","-","-","-","-","-","-","-","-",98,"-","-","-","-","-","-","-","-","-"

51

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

North Dakota" North Dakota" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",26824,27535,28592,28500,29004,28842,30770,29720,30519,31260,31123,30136,31147,31075,29527,31513,30328,30403,30853,31375,31344 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-","-","-","-",52,209,215,363,614,1687,2625,3216 "Electric Power Sector Generation Subtotal",26824,27535,28592,28500,29004,28842,30770,29720,30519,31260,31123,30136,31147,31127,29735,31728,30692,31016,32539,34000,34560

52

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Missouri" Missouri" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",59011,60121,56627,53202,61519,65400,67827,71073,74894,73505,76284,78991,79797,86102,86420,90159,91118,89926,89179,86705,90177 " Independent Power Producers","-","-","-","-","-","-","-","-","-","-","-",226,1039,783,828,319,165,820,1423,1383,1843 " Combined Heat and Power, Electric","-","-","-","-","-","-","-","-","-","-","-","-","-","-",46,5,30,45,127,41,55

53

Table 10. Supply and Disposition of Electricity, 1990 Through 2010 (Million Kilo  

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

Georgia" Georgia" "Category",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010 "Supply" "Generation" " Electric Utilities",97565,90809,91779,95738,98753,102016,98729,101780,108717,110537,116177,110565,111856,115755,117919,126445,127368,132832,126031,115075,120426 " Independent Power Producers",8,7,8,11,53,316,124,219,407,513,1431,1847,4894,3031,3861,4913,5164,6843,5431,9080,12115 " Combined Heat and Power, Electric","-","-","-","-","-","-","-",568,792,716,664,386,388,207,33,141,178,274,114,25,178 "Electric Power Sector Generation Subtotal",97573,90816,91787,95748,98806,102332,98853,102567,109915,111766,118271,112798,117138,118993,121813,131499,132709,139949,131576,124180,132719

54

unitsmetricrpp.dvi  

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

International International system of units (SI) 1 3. INTERNATIONAL SYSTEM OF UNITS (SI) See "The International System of Units (SI)," NIST Special Publication 330, B.N. Taylor, ed. (USGPO, Washington, DC, 1991); and "Guide for the Use of the International System of Units (SI)," NIST Special Publication 811, 1995 edition, B.N. Taylor (USGPO, Washington, DC, 1995). SI prefixes 10 24 yotta (Y) 10 21 zetta (Z) 10 18 exa (E) 10 15 peta (P) 10 12 tera (T) 10 9 giga (G) 10 6 mega (M) 10 3 kilo (k) 10 2 hecto (h) 10 deca (da) 10 -1 deci (d) 10 -2 centi (c) 10 -3 milli (m) 10 -6 micro (µ) 10 -9 nano (n) 10 -12 pico (p) 10 -15 femto (f) 10 -18 atto (a) 10 -21 zepto (z) 10 -24 yocto (y) J. Beringer et al.(PDG), PR D86, 010001 (2012) and 2013 update for the 2014 edition (http://pdg.lbl.gov) December 18, 2013 12:01 2 3. International system of units (SI) Physical quantity Name of unit Symbol Base units length meter

55

Mechanism and Site Requirements for Ethanol Oxidation on Vanadium Oxide Domains Beata Kilos, Alexis T. Bell,* and Enrique Iglesia*  

E-Print Network (OSTI)

was then heated in dry air (Praxair, zero grade) flowing at 0.83 cm3 s-1 g-1 . The temperature was raised at 0

Bell, Alexis T.

56

New fuel injector design lowers cost  

SciTech Connect

This article describes the Bendix Deka injector series. Bendix engineers have been striving to lessen costs of all portions of the injection equipment, especially single and multipoint injectors. Results of these efforts are advanced, thin-edged orifice and floating unitized armature designs. External configurations of both multipoint and single point Bendix Deka injectors are such that they can directly replace existing products. Both injector types are designed to be able to deliver any calibration within the currently-known requirements. Flow tolerances for Deka injectors match all known requirements, representing a good economic balance between performance and cost. Materials were carefully chosen for wear and corrosion resistance.

De Grace, L.G.; Bata, G.T.

1985-03-01T23:59:59.000Z

57

A prehistory of Indian Y chromosomes: Evaluating demic diffusion scenarios  

Science Journals Connector (OSTI)

...Oxford, U.K.), pp. 257 –264. 3 Pappu, R. S. & Rao, J. V. P. ( 1983 ) Bull. Deccan...J., Papiha, S. S. & Villems, R. ( 1999 ) in Genomic Diversity , eds. Papiha, S. S., Deka, R. & Chakraborty, R. (Kluwer, Boston), pp...

Sanghamitra Sahoo; Anamika Singh; G. Himabindu; Jheelam Banerjee; T. Sitalaximi; Sonali Gaikwad; R. Trivedi; Phillip Endicott; Toomas Kivisild; Mait Metspalu; Richard Villems; V. K. Kashyap

2006-01-01T23:59:59.000Z

58

Results Matter. Trust NAG. Numerical Algorithms Group  

E-Print Network (OSTI)

performance Using NAG Numerical Software via C, C++, Excel, Fortran, MATLAB & other environments LTCC John Toolbox for MATLAB Fortran Builder (NAG's New Windows Fortran Compiler) #12;London Universities - 1st collaborative projects ­ e.g. CSE Support to the UK's largest supercomputer, HECToR #12;London Universities - 1

Burton, Geoffrey R.

59

Genomic Diversity at Thirteen Short Tandem Repeat Loci in a Substructured Caste Population, Golla, of Southern Andhra Pradesh, India  

E-Print Network (OSTI)

among such populations. In fact, many successful at- tempts have been made to use this class of markers for understanding the evolu- tionary relationships among global populations, both at the racial and the conti- nental levels (Deka et al. 1995; Nei... method (Li 1976). Pairwise genetic distances were computed using the modi- fied Cavalli-Sforza distance (DA) of Nei et al. (1983). Although this genetic dis- tance measure is not linear with evolutionary time, it is observed to be most efficient...

Reddy, B. Mohan; Sun, Guangyun; Luis, Javier Rodriguez; Crawford, Michael H.; Hemam, Natabar Shyam; Deka, Ranjan

2001-04-01T23:59:59.000Z

60

DNA fingerprinting in anthropological genetics: past, present, future  

E-Print Network (OSTI)

polymorphisms, and direct sequencing not only to identi of markers (or “prints”) of entire populations. In the field o to reconstruct evolutionary history and answer questions the effects of admixture and adaptation to different envir© 2013 Crawford and Beaty..., Deka R, Young K, Crawford MH: Genetic architecture of a small, recently aggregated Aleut population: Bering Island. Hum Biol 2010, 82(506):719–736. 30. Crawford MH, Rubicz RC, Zlojutro M: Origins of Aleuts and the genetic structure of populations...

Crawford, Michael H.; Beaty, Kristine Gatchalian

2013-11-18T23:59:59.000Z

Note: This page contains sample records for the topic "kilo hecto deka" 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

A Global and Long-Range Picture of Energy Developments  

Science Journals Connector (OSTI)

...ConvenDeep Oil shale Totaltional offshore Enhanced andand recovery tar...oil and some possibly deep offshore oil. The analysis of region...bio-mass, geothermal, and wind energy. In the analysis that...170 per kilo-watt for gas turbines up to $920 per kilo-watt...

Wolf Häfele

1980-07-04T23:59:59.000Z

62

Toward Understanding Dynamic Annealing Processes in Irradiated Ceramics  

E-Print Network (OSTI)

Scattering IBA Ion Beam Analysis vi IBM Ion Beam Modification IED Ionization Enhanced Diffusion IP Intermediate Defect Peak keV Kilo Electron Volt KP Kinchin-Pease Ld Diffusion Length LED Light Emitting Diode LLNL Lawrence Livermore National...

Myers, Michael

2013-03-04T23:59:59.000Z

63

NASA Green Flight Challenge: Conceptual Design Approaches and Technologies to Enable 200 Passenger Miles  

E-Print Network (OSTI)

-diesel, and other bio-fuel engines. The aircraft are using various technologies to improve aerodynamic, propulsionW = = = Jet Propellant Knots True Airspeed Kilo-Watt MPG = Miles Per Gallon MPGe MSL = = Miles Per Gallon

Waliser, Duane E.

64

Figures of merit for testing standard models: application to dark energy experiments in cosmology  

Science Journals Connector (OSTI)

......Kilo-Degree Survey (KIDS), Panoramic Survey Telescope Rapid Response System (Pan-STARRS),1 Dark Energy Survey (DES),2 Large Synoptic Survey Telescope (LSST),3 Joint Dark Energy Mission (JDEM)4 and Euclid.5......

A. Amara; T. D. Kitching

2011-05-21T23:59:59.000Z

65

Accuracy of photometric redshifts for future weak lensing surveys from space  

Science Journals Connector (OSTI)

......Survey Telescope (LSST), Pan-STARRS and Dark Energy Survey (DES). The results highlight the importance...ground-based telescopes [e.g. Kilo-Degree Survey, Pan-STARRS, Dark Energy Survey (DES), Large Synoptic Survey Telescope......

F. Bellagamba; M. Meneghetti; L. Moscardini; M. Bolzonella

2012-05-01T23:59:59.000Z

66

Data:84e2fa36-5dd3-49d9-9563-8f646c3f8450 | Open Energy Information  

Open Energy Info (EERE)

which may interfere with service to other customers, or all transformer-type welding machines larger than 25 kilo-volt amperes, will not be served on this rate. Source or...

67

Data:A563ad4a-6f47-40bd-9bfa-d67a6d66a93d | Open Energy Information  

Open Energy Info (EERE)

which may interfere with service to other customers, or all transformer-type welding machines larger than 25 kilo-volt amperes, will not be served on this rate. Source or...

68

DARHT-II Injector Transients and the Ferrite Damper  

E-Print Network (OSTI)

If we use an equivalent beam resistance of 2 kilo-ohms, theany gaps ) is equivalent to a resistance of 60 ohms inthe equivalent circuit in Figure 3.4. This series resistance

M., Waldron, W.; Reginato, L.; Chow, K.; Houck. T.; Henestroza, E.; Yu, S.; Kang,

2008-01-01T23:59:59.000Z

69

Primer Festival de Teatro Nuevo de Latinoamerica  

E-Print Network (OSTI)

(Brasil ) Ivá n Garcí a (Repúblic a Dominicana ) Juli o Orteg a (Perú ) Alvar o Menénde z Lea l (E l Salvador ) Isidor a Aguirr e (Chile ) Directo r Hecto r Mendoz a Alexandr o Jodorowsk y Virgili o Marie l Juli o Castill o Xavie r Roja s Jua n... obras de Alberto Cañas y Rolando Steiner emprendió un ejercicio de laboratorio teatral, sobre todo con la de Steiner, que aumentó sus alcances de manera considerable, gracias a la intervención de Julio Castillo. Algo más que dos sueños es una...

Soló rzano, Carlos

1969-04-01T23:59:59.000Z

70

The JASMIN super-data-cluster  

E-Print Network (OSTI)

The JASMIN super-data-cluster is being deployed to support the data analysis requirements of the UK and European climate and earth system modelling community. Physical colocation of the core JASMIN resource with significant components of the facility for Climate and Environmental Monitoring from Space (CEMS) provides additional support for the earth observation community, as well as facilitating further comparison and evaluation of models with data. JASMIN and CEMS together centrally deploy 9.3 PB of storage - 4.6 PB of Panasas fast disk storage alongside the STFC Atlas Tape Store. Over 370 computing cores provide local computation. Remote JASMIN resources at Bristol, Leeds and Reading provide additional distributed storage and compute configured to support local workflow as a stepping stone to using the central JASMIN system. Fast network links from JASMIN provide reliable communication between the UK supercomputers MONSooN (at the Met Office) and HECToR (at the University of Edinburgh). JASMIN also supports...

Lawrence, B N; Churchill, J; Juckes, M; Kershaw, P; Oliver, P; Pritchard, M; Stephens, A

2012-01-01T23:59:59.000Z

71

CUSTOM SYNTHESIS by TDC RESEARCH,Inc. To follow up on our conversation regarding TDC Research Custom Synthesis program  

E-Print Network (OSTI)

CUSTOM SYNTHESIS by TDC RESEARCH,Inc. To follow up on our conversation regarding TDC Research Custom Synthesis program: Here is a brief description of what we can/will do in the custom synthesis area will perform re-synthesis and scale up of any length for any compound up to 500 g. Occasionally we will do kilo

Hudlicky, Tomas

72

Mouse immunoglobulin D: messenger RNA and genomic DNA sequences  

Science Journals Connector (OSTI)

...a-helical or a, 8-pleated sheet conformation. Very similar...0.971.912 0.973, 8-Sheet potential (Ps) 1.045 1...phase; AG is the change in free energy in kilo-calories per mole...will initiate, 8-pleated sheet formations; values > 1.000...

PW Tucker; CP Liu; JF Mushinski; FR Blattner

1980-09-19T23:59:59.000Z

73

32 Marine Fisheries Review Introduction  

E-Print Network (OSTI)

the Azores and Madeira (DGPA, 1998). Historically, fisheries have targeted elasmobranchs to supply the liver-oil-products peaked (oil prices reached US$4.00 ~ US$5.00 per liter) and then declined from 1987 to 1999 (oil prices generally decreased over time, with a corresponding increase in price per kilo- gram. The most important

74

arXiv:0901.3557v1[astro-ph.IM]22Jan2009 Astronomy & Astrophysics manuscript no. sparsity c ESO 2009 January 22, 2009  

E-Print Network (OSTI)

Survey and the VISTA Kilo-Degree Infrared Galaxy Survey2 (KIDS/VIKING), the Dark Energy Survey3 (DES') is a powerful probe of dark energy and dark matter. A number of current and planned sur- veys are dedicated-STARRS), the SuperNovae Acceleration Probe5 (SNAP), the Large Synoptic Survey Telescope6 (LSST) and the Dark UNiverse

Masci, Frank

75

Seeing in the dark – II. Cosmic shear in the Sloan Digital Sky Survey  

Science Journals Connector (OSTI)

......Suprime-Cam (HSC; Miyazaki et-al. 2006), Dark Energy Survey (DES; 1 The Dark Energy Survey Collaboration 2005), the KIlo-Degree...et al. MNRAS (2003) 341:1311. The Dark Energy Survey Collaboration. (2005) preprint ( astro-ph......

Eric M. Huff; Tim Eifler; Christopher M. Hirata; Rachel Mandelbaum; David Schlegel; Uroš Seljak

2014-01-01T23:59:59.000Z

76

Jack Dongarra A Historical Overview and  

E-Print Network (OSTI)

a performance advantage of at least one order of magnitude over conventional systems of that time. Raw mean the rate of execution for floating-point operations. Here we chart Kilo-flop (thousands the complete lifespan of modern computing-- we see an increase in performance averaging two orders of mag

Dongarra, Jack

77

A Measure of Violence: Forty Years of "First Contact" Among the  

E-Print Network (OSTI)

Provinces, this territory and its people have long been penetrated by colonisation. However, although differences in their interactions with the agents of the state, church and market. In the Baruya valley, and sold a few dozen kilos of dried beans in the Suowi valley (also called Ikundi valley, after the name

Paris-Sud XI, Université de

78

IEDWorking Paper 21 December 2013  

E-Print Network (OSTI)

of a prod- uct's energy consumption in physical units (kilo- watt hours), other labels focus on monetary units (for instance US$). Currently applied labels accu- mulate a product's energy use over the period of one year, while the energy consumption for a single use or for the product's expected lifetime could

Fischlin, Andreas

79

Property:PotentialUrbanUtilityScalePVCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialUrbanUtilityScalePVCapacity PotentialUrbanUtilityScalePVCapacity Jump to: navigation, search Property Name PotentialUrbanUtilityScalePVCapacity Property Type Quantity Description The nameplate capacity technical potential from utility-scale PV in urban areas of a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

80

Property:Capacity | Open Energy Information  

Open Energy Info (EERE)

Capacity Capacity Jump to: navigation, search Property Name Capacity Property Type Quantity Description Potential electric energy generation, default units of megawatts. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

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


81

Property:PotentialEGSGeothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialEGSGeothermalCapacity PotentialEGSGeothermalCapacity Jump to: navigation, search Property Name PotentialEGSGeothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from EGS Geothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

82

Property:GeneratingCapacity | Open Energy Information  

Open Energy Info (EERE)

GeneratingCapacity GeneratingCapacity Jump to: navigation, search Property Name GeneratingCapacity Property Type Quantity Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

83

Property:PotentialCSPCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialCSPCapacity PotentialCSPCapacity Jump to: navigation, search Property Name PotentialCSPCapacity Property Type Quantity Description The nameplate capacity technical potential from CSP for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

84

Property:PlannedCapacity | Open Energy Information  

Open Energy Info (EERE)

PlannedCapacity PlannedCapacity Jump to: navigation, search Property Name PlannedCapacity Property Type Quantity Description The total planned capacity for a given area, region or project. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

85

Property:GrossProdCapacity | Open Energy Information  

Open Energy Info (EERE)

GrossProdCapacity GrossProdCapacity Jump to: navigation, search Property Name GrossProdCapacity Property Type Quantity Description Sum of the property AvgAnnlGrossOpCpcty for all Energy Generation Facilities with properties: Sector: Geothermal Energy InGeothermalResourceArea: set to the the variable vName of the Geothermal Resource Area Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS

86

Property:PotentialOffshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindCapacity PotentialOffshoreWindCapacity Jump to: navigation, search Property Name PotentialOffshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Offshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

87

Property:PotentialGeothermalHydrothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialGeothermalHydrothermalCapacity PotentialGeothermalHydrothermalCapacity Jump to: navigation, search Property Name PotentialGeothermalHydrothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from Geothermal Hydrothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

88

Property:PotentialHydropowerCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialHydropowerCapacity PotentialHydropowerCapacity Jump to: navigation, search Property Name PotentialHydropowerCapacity Property Type Quantity Description The nameplate capacity technical potential from Hydropower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

89

Property:PotentialBiopowerGaseousCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousCapacity PotentialBiopowerGaseousCapacity Jump to: navigation, search Property Name PotentialBiopowerGaseousCapacity Property Type Quantity Description The nameplate capacity technical potential from gaseous biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

90

Property:PotentialBiopowerSolidMass | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:PotentialBiopowerSolidMass Jump to: navigation, search Property Name PotentialBiopowerSolidMass Property Type Quantity Description The potential mass of solid biopower material for a place. Use this type to express a quantity of magnitude, or an object's resistance to acceleration. The default unit is the kilogram (kg). http://en.wikipedia.org/wiki/Kilogram Acceptable units (and their conversions) are: Kilograms - 1 kg, kilo, kilogram, kilograms, Kilogram, kilogramme, kilos Grams - 1000 g, gram, gramme, grams Tonnes - 0.001 tonnes, metric tons, Tonnes, Metric Tonnes Pounds - 2.205 lbs, pounds, pound, Pounds, Lbs Stone - 0.1575 stones, st, stone Ounces - 35.27 ounces, oz, Ounces, ounce

91

Property:InstalledCapacity | Open Energy Information  

Open Energy Info (EERE)

InstalledCapacity InstalledCapacity Jump to: navigation, search Property Name InstalledCapacity Property Type Quantity Description Installed Capacity (MW) or also known as Total Generator Nameplate Capacity (Rated Power) Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

92

Property:IdentifiedHydrothermalPotential | Open Energy Information  

Open Energy Info (EERE)

IdentifiedHydrothermalPotential IdentifiedHydrothermalPotential Jump to: navigation, search Property Name IdentifiedHydrothermalPotential Property Type Quantity Description Conventional hydrothermal electricity generation potential from identified hydrothermal sites, as determined by the USGS 2008 Geothermal Resource Assessment (Williams et al, 2008). Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS

93

Property:PotentialOnshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindCapacity PotentialOnshoreWindCapacity Jump to: navigation, search Property Name PotentialOnshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Onshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

94

Property:PotentialRooftopPVCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialRooftopPVCapacity PotentialRooftopPVCapacity Jump to: navigation, search Property Name PotentialRooftopPVCapacity Property Type Quantity Description The nameplate capacity technical potential from Rooftop PV for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

95

Property:MeanCapacity | Open Energy Information  

Open Energy Info (EERE)

MeanCapacity MeanCapacity Jump to: navigation, search Property Name MeanCapacity Property Type Quantity Description Mean capacity potential at location based on the USGS 2008 Geothermal Resource Assessment if the United States Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

96

Optimization of operating parameters for the Texas A&M Variable Energy Cyclotron  

E-Print Network (OSTI)

'S Empirical C on st r aint: Fr Fr e quency De e Vo 1 tag e (Kilo v o lt s ) Main Coil (Amps) TCO'l: TC02: TC03: TC04: TC05: TC06: TC07: TC08: TC09: TC10: TC11: TC12: TC13: TC14: TC15: TC16: TC17: ee Voltage equency; D 7. 04200 34 478...'S Empirical C on st r aint: Fr Fr e quency De e Vo 1 tag e (Kilo v o lt s ) Main Coil (Amps) TCO'l: TC02: TC03: TC04: TC05: TC06: TC07: TC08: TC09: TC10: TC11: TC12: TC13: TC14: TC15: TC16: TC17: ee Voltage equency; D 7. 04200 34 478...

Wolters, Richard Arthur

2012-06-07T23:59:59.000Z

97

Property:PotentialBiopowerSolidCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerSolidCapacity PotentialBiopowerSolidCapacity Jump to: navigation, search Property Name PotentialBiopowerSolidCapacity Property Type Quantity Description The nameplate capacity technical potential from solid biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

98

Property:UndiscoveredHydrothermalPotential | Open Energy Information  

Open Energy Info (EERE)

UndiscoveredHydrothermalPotential UndiscoveredHydrothermalPotential Jump to: navigation, search Property Name UndiscoveredHydrothermalPotential Property Type Quantity Description Estimated conventional hydrothermal electricity generation potential from undiscovered hydrothermal sites, as determined by the USGS 2008 Geothermal Resource Assessment (Williams et al, 2008). Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS

99

Property:PotentialBiopowerGaseousMass | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousMass PotentialBiopowerGaseousMass Jump to: navigation, search Property Name PotentialBiopowerGaseousMass Property Type Quantity Description The potential mass of gaseous biopower material for a place. Use this type to express a quantity of magnitude, or an object's resistance to acceleration. The default unit is the kilogram (kg). http://en.wikipedia.org/wiki/Kilogram Acceptable units (and their conversions) are: Kilograms - 1 kg, kilo, kilogram, kilograms, Kilogram, kilogramme, kilos Grams - 1000 g, gram, gramme, grams Tonnes - 0.001 tonnes, metric tons, Tonnes, Metric Tonnes Pounds - 2.205 lbs, pounds, pound, Pounds, Lbs Stone - 0.1575 stones, st, stone Ounces - 35.27 ounces, oz, Ounces, ounce BDT - 0.001 BDT, Bone Dry Tonnes, bdt Pages using the property "PotentialBiopowerGaseousMass"

100

Property:NetProdCapacity | Open Energy Information  

Open Energy Info (EERE)

NetProdCapacity NetProdCapacity Jump to: navigation, search Property Name NetProdCapacity Property Type Quantity Description Sum of the property SummerPeakNetCpcty for all Energy Generation Facilities with properties: Sector: Geothermal Energy InGeothermalResourceArea: set to the the variable vName of the Geothermal Resource Area Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS

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We encourage you to perform a real-time search of NLEBeta
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101

Property:PotentialRuralUtilityScalePVCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialRuralUtilityScalePVCapacity PotentialRuralUtilityScalePVCapacity Jump to: navigation, search Property Name PotentialRuralUtilityScalePVCapacity Property Type Quantity Description The nameplate capacity technical potential from rural utility-scale PV for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

102

Characterization of PP2A regulatory B subunits in Fusarium verticillioides  

E-Print Network (OSTI)

my parents and parents-in-law for their encouragement and support. vii NOMENCLATURE PP2A Protein Phosphatase type 2A FB1 Fumonisin B1 PDA Potato Dextrose Agar PDB Potato Dextrose Broth YEPD Yeast Extract Peptone Dextrose kb kilo base pair... and mutant strains on various solid media; PDA, V8 agar, and Defined Medium (DM) ... 31 Figure 11 Growth and morphology of the wild type and mutant strains on YEPD agar and in YEPD broth...

Shin, Joonhee

2012-07-16T23:59:59.000Z

103

Comparative Genomics of Gossypium spp. through GBS and Candidate Genes – Delving into the Controlling Factors behind Photoperiodic Flowering  

E-Print Network (OSTI)

COMPARATIVE GENOMICS OF GOSSYPIUM SPP. THROUGH GBS AND CANDIDATE GENES ? DELVING INTO THE CONTROLLING FACTORS BEHIND PHOTOPERIODIC FLOWERING A Dissertation by CARLA JO LOGAN YOUNG Submitted to the Office of Graduate Studies of Texas A.../Deletion Polymorphism IPGB Institute for Plant Genomics and Biotechnology Ka Non-synonymous Nucleotide Substitution Rate kb Kilobase(s) kDa KiloDalton Ks Synonymous Nucleotide Substitution Rate LD Long Day LD Linkage Disequilibrium MAS Marker Assisted...

Young, Carla Jo Logan

2013-08-09T23:59:59.000Z

104

Energy Shortage of Nonthermal Electrons in Powering a Solar  

Science Journals Connector (OSTI)

Within a deka-keV energy range, the power-law electron beams interacting with the solar atmosphere also result in the power-law bremsstrahlung of hard X-rays. The energy spectrum of electrons can thus be deduced from the observed hard X-ray spectrum, and the total energy carried by accelerated electrons can then be estimated. For quite a long time, one has always assumed the lower energy cutoff (Ec) of the power-law electron beams to be around 20 keV, an assumption that constitutes a main ingredient of the so-called standard picture of a solar flare, since the nonthermal electrons are substantial in powering a solar flare. However, there is in fact no solid observational basis for Ec = 20 keV. Here we present a quantitative method to determine Ec and its application to 14 BATSE/Compton Gamma Ray Observatory hard X-ray events. We find that Ec, varying from 47 to 141 keV in our samples, is on average 76.4 keV. The total energy carried by nonthermal electrons is therefore shown to be at least 1 order of magnitude lower than that derived by taking Ec = 20 keV. This energy shortage of nonthermal electrons in our sample hard X-ray events conflicts with the widely accepted scenario of a solar flare.

W. Q. Gan; Y. P. Li; J. Chang

2001-01-01T23:59:59.000Z

105

Modulated Release of a Volatile Compound from Starch Matrixes via Enzymatically Controlled Degradation  

Science Journals Connector (OSTI)

The activity of the liquid enzyme formulation (protein content was 38 mg/mL) was 120 KNU/g of enzyme formulation (1 Kilo Novo alpha-amylase Unit, KNU, activity unit is the amount of enzyme which breaks down 5.26 g of starch/h at 37 °C to dextrins and oligosaccharides at pH 5.6 (as given in the Termamyl product data sheet by Novo Nordisk). ... Although the amount of water was minimized, ?-amylase started to break down the matrix during the encapsulation process. ... (GCWS) starches (waxy maize, normal maize, Hylon-5, and Hylon-7; amylose content <1, 28, 54, and 68%, resp.) ...

Gülden Y?lmaz; Gaye Öngen; Remy O. J. Jongboom; Herman Feil; Cees van Dijk; Wim E. Hennink

2002-01-05T23:59:59.000Z

106

Vrme-och strmningsteknik Thermal and Flow Engineering Processteknikens grunder (PTG) 2013  

E-Print Network (OSTI)

sidan. 1303. One kilo of a gas (the gas is CO2 for e = 0,1,2; CO for e = 3,4,5,6; H2 for e = 7 for questions 1303 and 1304 1304. En behållare med gas (gasen är CO2 för e = 0,1,2; CO för e = 3,4,5,6; H2 för e = u + pv, och pv = RT (för n=1 mol) 1304. A container filled with a gas (the gas is CO2 for e = 0

Zevenhoven, Ron

107

STATEMENT OF CONSIDERATIONS REQUEST BY MARTIN MARIETTA CORPORATION (MMC) FORMERLY  

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

MARTIN MARIETTA CORPORATION (MMC) FORMERLY MARTIN MARIETTA CORPORATION (MMC) FORMERLY KNOWN AS GENERAL DYNAMICS - SPACE SYSTEMS DIVISION (GD- SSD) FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN PATENT RIGHTS UNDER DOE CONTRACT NO: DE-FC36- 93CH10554; W(A)-94-012; CH-0831 Martin Marietta Corporation (MMC) has recently acquired the Space Systems Division of the General Dynamics Corporation (GD- SSD) which had earlier requested a waiver of domestic and foreign patent rights for all subject inventions under a cooperative agreement for the development of a 1 kilo-Joule current limiter under DOE Contract No. DE-FC36-93CH10554. MMC, by accepting the Advance Waiver Patent Rights and certain amendments to the Data Rights, has indicated that they wish to proceed with the waiver petition. This agreement was awarded under DOE's

108

Microsoft Word - CX-LanePhaseSeparationProjects_FY13_WEB.docx  

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

6, 2012 6, 2012 REPLY TO ATTN OF: KEP-4 SUBJECT: Environmental Clearance Memorandum Michael Marleau - TEP-TPP-1 Project Manager Proposed Action: Lane Substation 500/230-kV Transformer Phase Separation Project Project Work Order Number: 00298187 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B4.6 Additions or modifications to electric power transmission facilities Location: Lane Substation, Lane County, Oregon Township 17 South, Range 5 East, Section 36 Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to increase the physical distance that separates each phase of the 500/230-kiloVolt transformer banks at BPA's Lane Substation. The reason for the increased distance is to minimize the effects of a transformer fire or explosion as

109

Batteries - Materials Engineering Facility: Scale-Up R&D Bridges Gap  

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

Argonne's Advanced Battery Materials Synthesis and Manufacturing R&D program Argonne's Advanced Battery Materials Synthesis and Manufacturing R&D program Initial discovery amounts of battery materials are small compared to the kilo-scale amounts needed for validation of new battery technologies. Argonne researcher Sabine Gallagher Argonne researcher Sabine Gallagher loads a sample mount of battery cathode materials for X-ray diffraction, an analysis tool for obtaining information on the crystallographic structure and composition of materials. Materials Engineering Research Facility (MERF) Argonne's new Materials Engineering Research Facility (MERF) supports the laboratory's Advanced Battery Materials Synthesis and Manufacturing R&D Program. The MERF is enabling the development of manufacturing processes for producing advanced battery materials in sufficient quantity for

110

CX-002196: Categorical Exclusion Determination | Department of Energy  

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

2196: Categorical Exclusion Determination 2196: Categorical Exclusion Determination CX-002196: Categorical Exclusion Determination STS-100 Test Stand Experiment CX(s) Applied: B3.6 Date: 05/04/2010 Location(s): Princeton, New Jersey Office(s): Princeton Site Office, Science The proposed action would consist of operation of a 100 kilovolt (kV) test stand, the STS-I00, acquired from the Lawrence Berkeley National Laboratory (LBNL), in which advanced plasma sources will be developed and ion-ion plasmas will be studied at Princeton Plasma Physics Laboratory. The STS-100 would be used to generate 100 kilo-electron volt ion beams, as well as a general purpose vacuum chamber with excellent diagnostic access. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-002196.pdf More Documents & Publications EA-0813: Final Environmental Assessment

111

CX-009705: Categorical Exclusion Determination | Department of Energy  

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

705: Categorical Exclusion Determination 705: Categorical Exclusion Determination CX-009705: Categorical Exclusion Determination Lane Substation 500/230-kV Transformer Phase Separation Project CX(s) Applied: B4.6 Date: 12/06/2012 Location(s): Oregon Offices(s): Bonneville Power Administration Bonneville Power Administration (BPA) proposes to increase the physical distance that separates each phase of the 500/230-kiloVolt transformer banks at BPA's Lane Substation. The reason for the increased distance is to minimize the effects of a transformer fire or explosion as outlined in the Institute of Electrical and Electronic Engineers, Inc. guidelines for substation fire suppression. CX-009705.pdf More Documents & Publications CX-008705: Categorical Exclusion Determination CX-009708: Categorical Exclusion Determination

112

Dr. Yuan Ping Lawrence Livermore National Lab  

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

Creating, diagnosing and Creating, diagnosing and controlling high-energy- density matter with lasers Dr. Yuan Ping Lawrence Livermore National Lab Tuesday, Oct 22, 2013 - 3:00PM MBG AUDITORIUM Refreshments at 2:45PM The PrinceTon Plasma Physics laboraTory is a U.s. DeParTmenT of energy faciliTy Since their invention in 1960's, lasers with power spanning from Kilo- Watt to PetaWatt have been widely used in almost every branch of sci- ence, leading to numerous discoveries and novel techniques. At present, lasers are capable of creating extreme states of matter in a laboratory, at conditions resembling those most extreme in the Universe: they heat matter up to the temperatures inside stars, they create electric field and

113

Data:561a47f4-71ac-4163-acc1-f26728c3bded | Open Energy Information  

Open Energy Info (EERE)

f4-71ac-4163-acc1-f26728c3bded f4-71ac-4163-acc1-f26728c3bded 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 Tell City, Indiana (Utility Company) Effective date: 2009/09/01 End date if known: Rate name: Tariff OPL: Single Phase Off Peak Lighting Sector: Lighting Description: "This rate applies to kilo-watt hours use for Street and Private Dusk to Dawn lighting. The purpose of this rate is for the Tell City Electric Department to bill the Electric Department for the KWH used for off peak lighting." Source or reference: Rates Binder 1, Illinois State University Source Parent:

114

Creating Market Change from the Inside Out: Applying the Collaborative  

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

These industrial applications have These industrial applications have been largely overlooked, yet represent a major energy savings opportunity- for industrial electric motor systems alone, USDOE Motor Challenge estimates savings of 9 billion kiloWatt-hours per year by 2010. Because the savings are typically found in system-based instead of component-based solutions, persuasive actions (education, incentives) are usually more effective than directed actions (regulations) in these applications. To be successful and persistent, persuasive actions require lasting behavioral change, which is often difficult to accomplish. This talk focuses on a process model that has emerged from work on industrial motor system efficiency in the Washington DC project office. The model seeks to effect institutional and behavioral change by using government in the role of a

115

Polyamide 66 as a Cryogenic Dielectric  

SciTech Connect

Improvements in superconductor and cryogenic technologies enable novel power apparatus, \\eg, cables, transformers, fault current limiters, generators, \\etc, with better device characteristics than their conventional counterparts. In these applications electrical insulation materials play an important role in system weight, footprint (size), and voltage level. The trend in the electrical insulation material selection has been to adapt or to employ conventional insulation materials to these new systems. However, at low temperatures, thermal contraction and loss of mechanical strength in many materials make them unsuitable for superconducting power applications. In this paper, a widely used commercial material was characterized as a potential cryogenic dielectric. The material is used in ``oven bag'' a heat-resistant polyamide (nylon) used in cooking (produced by Reynolds\\textregistered, Richmond, VA, USA). It is first characterized by Fourier transform infrared and x-ray diffraction techniques and determined to be composed of polyamide 66 (PA66) polymer. Secondly the complex dielectric permittivity and dielectric breakdown strength of the PA66 films are investigated. The dielectric data are then compared with data reported in the literature. A comparison of dielectric strength with a widely used high-temperature superconductor electrical insulation material, polypropylene-laminated paper (PPLP\\texttrademark\\ a product of Sumitomo Electric Industries, Japan), is provided. It is observed that the statistical analysis of the PA66 films yields 1\\% failure probability at $127\\ \\kilo\\volt\\milli\\meter^{-1}$; this value is approximately $46\\ \\kilo\\volt\\milli\\meter^{-1}$ higher than PPLP\\texttrademark. It is concluded that PA66 may be a good candidate for cryogenic applications. Finally, a summary of dielectric properties of some of the commercial tape insulation materials and various polymers is also provided.

Tuncer, Enis [ORNL; Polyzos, Georgios [ORNL; Sauers, Isidor [ORNL; James, David Randy [ORNL; Ellis, Alvin R [ORNL; Messman, Jamie M [ORNL; Aytug, Tolga [ORNL

2009-01-01T23:59:59.000Z

116

STATEMENT OF CONSIDERATIONS REQUEST BY OSRAM OPTO SEMICONDUCTORS  

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

5 14:37 FR IPL DOE CH 630 252 2779 TO RGCP-HQ P.02/04 5 14:37 FR IPL DOE CH 630 252 2779 TO RGCP-HQ P.02/04 * * STATEMENT OF CONSIDERATIONS REQUEST BY OSRAM OPTO SEMICONDUCTORS FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN INVENTION RIGHTS UNDER DOE CONTRACT NO. DE-FC26-05NT42341, SUBCONTRACT QZ001; W(A)-05-017, CH-1280 The Petitioner, OSRAM Opto Semiconductor (Osram) was awarded a subcontract under this cooperative agreement for the performance of work entitled, "Scaling Up KiloLumen Solid- State Lighting Exceeding 100 LPW via Remote Phosphor." The cooperative agreement was awarded to Light Prescriptions Innovators, LLC (LPI). The purpose of the cooperative agreement is to develop a new white light emitting diode (LED) light source that emits 1000 lumens with an efficacy exceeding 100 lumens per watt (LPW). The new white LED light source will use multiple

117

The role of radial particle flow on power balance in DIII-D  

Science Journals Connector (OSTI)

The importance of radial particle flow on the power flowing across the last closed flux surface (separatrix) in DIII-D [Luxon et al. International Conference on Plasma Physics and Controlled Nuclear Fusion (International Atomic Energy Agency Vienna 1986) Vol. I p. 159] is considered. The perpendicular thermal diffusivity at the separatrix is near 1 m2/s in low confinement operation (L-mode) and 0.1 m2/s in high confinement (H-mode). The particle diffusivity is about one-fourth of the thermal diffusivity producing radial particle fluxes of the order of kilo-amperes. The particle flux is 10 to 100 times the particle input from neutral beam sources consistent with core fueling being dominated by neutral recycling. The radial particle flux scales with the neutral pressure in the private flux region suggesting the core is fueled predominantly from neutrals which recycle from the divertor through the private flux and into the core near the singular point where the poloidal field is zero (X-point). There is significant core power loss associated with the large particle flux across the separatrix. The electron temperature measured at the top of the edge pedestal in H-mode operation scales inversely with the particle flux. In turn the core energy confinement scales with the pedestal temperature and hence inversely with the particle flux. The results presented here indicate the global particle confinement time is between 0.5 and 2 times the global energy confinement time.

G. D. Porter; DIII-D team

1998-01-01T23:59:59.000Z

118

FY07 LDRD Final Report Precision, Split Beam, Chirped-Pulse, Seed Laser Technology  

SciTech Connect

The goal of this LDRD ER was to develop a robust and reliable technology to seed high-energy laser systems with chirped pulses that can be amplified to kilo-Joule energies and recompressed to sub-picosecond pulse widths creating extremely high peak powers suitable for petawatt class physics experiments. This LDRD project focused on the development of optical fiber laser technologies compatible with the current long pulse National Ignition Facility (NIF) seed laser. New technologies developed under this project include, high stability mode-locked fiber lasers, fiber based techniques for reduction of compressed pulse pedestals and prepulses, new compact stretchers based on chirped fiber Bragg gratings (CFBGs), new techniques for manipulation of chirped pulses prior to amplification and new high-energy fiber amplifiers. This project was highly successful and met virtually all of its goals. The National Ignition Campaign has found the results of this work to be very helpful. The LDRD developed system is being employed in experiments to engineer the Advanced Radiographic Capability (ARC) front end and the fully engineered version of the ARC Front End will employ much of the technology and techniques developed here.

Dawson, J W; Messerly, M J; Phan, H H; Crane, J K; Beach, R J; Siders, C W; Barty, C J

2009-11-12T23:59:59.000Z

119

BRIGHT 'MERGER-NOVA' FROM THE REMNANT OF A NEUTRON STAR BINARY MERGER: A SIGNATURE OF A NEWLY BORN, MASSIVE, MILLISECOND MAGNETAR  

SciTech Connect

A massive millisecond magnetar may survive the merger of a neutron star (NS) binary, which would continuously power the merger ejecta. We develop a generic dynamic model for the merger ejecta with energy injection from the central magnetar. The ejecta emission (the {sup m}erger-nova{sup )} powered by the magnetar peaks in the UV band and the peak of the light curve, progressively shifts to an earlier epoch with increasing frequency. A magnetar-powered merger-nova could have an optical peak brightness comparable to a supernova, which is a few tens or hundreds times brighter than the radioactive-powered merger-novae (the so-called macro-nova or kilo-nova). On the other hand, such a merger-nova would peak earlier and have a significantly shorter duration than that of a supernova. An early collapse of the magnetar could suppress the brightness of the optical emission and shorten its duration. Such millisecond-magnetar-powered merger-novae may be detected from NS-NS merger events without an observed short gamma-ray burst, and could be a bright electromagnetic counterpart for gravitational wave bursts due to NS-NS mergers. If detected, it suggests that the merger leaves behind a massive NS, which has important implications for the equation-of-state of nuclear matter.

Yu, Yun-Wei [Institute of Astrophysics, Central China Normal University, Wuhan 430079 (China)] [Institute of Astrophysics, Central China Normal University, Wuhan 430079 (China); Zhang, Bing; Gao, He, E-mail: yuyw@mail.ccnu.edu.cn, E-mail: zhang@physics.unlv.edu [Department of Physics and Astronomy, University of Nevada, Las Vegas, NV 89154 (United States)] [Department of Physics and Astronomy, University of Nevada, Las Vegas, NV 89154 (United States)

2013-10-20T23:59:59.000Z

120

Unmanned airships for near earth remote sensing missions  

SciTech Connect

In recent years the study of Earth processes has increased significantly. Conventional aircraft have been employed to a large extent in gathering much of this information. However, with this expansion of research has come the need to investigate and measure phenomena that occur beyond the performance capabilities of conventional aircraft. Where long dwell times or observations at very low attitudes are required there are few platforms that can operate safely, efficiently, and cost-effectively. One type of aircraft that meets all three parameters is the unmanned, autonomously operated airship. The UAV airship is smaller than manned airships but has similar performance characteristics. It`s low speed stability permits high resolution observations and provides a low vibration environment for motion sensitive instruments. Maximum airspeed is usually 30mph to 35mph and endurance can be as high as 36 hours. With scientific payload capacities of 100 kilos and more, the UAV airship offers a unique opportunity for carrying significant instrument loads for protracted periods at the air/surface interface. The US Army has operated UAV airships for several years conducting border surveillance and monitoring, environmental surveys, and detection and mapping of unexploded ordinance. The technical details of UAV airships, their performance, and the potential of such platforms for more advanced research roles will be presented. 3 refs., 5 figs.

Hochstetler, R.D. [Research Adventures,Inc., Kensington, MD (United States)

1996-10-01T23:59:59.000Z

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121

Electric Power Delivery Testing Feasibility Study Task 6 Final Report  

SciTech Connect

This Final Report is covers the completion of the Electric Power Delivery Testing Feasibility Study. The objective of this project was to research, engineer, and demonstrate high-power laboratory testing protocols to accurately reproduce the conditions on the electric power grid representing both normal load switching and abnormalities such as short-circuit fault protection. Test circuits, equipment, and techniques were developed and proven at reduced power levels to determine the feasibility of building a large-scale high-power testing laboratory capable of testing equipment and systems at simulated high-power conditions of the U.S. power grid at distribution levels up through 38 kiloVolts (kV) and transmission levels up through 230 kV. The project delivered demonstrated testing techniques, high-voltage test equipment for load testing and synthetic short-circuit testing, and recommended designs for future implementation of a high-power testing laboratory to test equipment and systems, enabling increased reliability of the electric transmission and distribution grid.

Thomas Tobin

2009-07-01T23:59:59.000Z

122

Development of Strengthened Bundle High Temperature Superconductors  

SciTech Connect

In the process of developing high temperature superconducting (HTS) transmission cables, it was found that mechanical strength of the superconducting tape is the most crucial property that needs to be improved. It is also desirable to increase the current carrying capacity of the conductor so that fewer layers are needed to make the kilo-amp class cables required for electric utility usage. A process has been developed by encapsulating a stack of Bi-2223/Ag tapes with a silver or non-silver sheath to form a strengthened bundle superconductor. This process was applied to HTS tapes made by the Continuous Tube Forming and Filling (CTFF) technique pursued by Plastronic Inc. and HTS tapes obtained from other manufacturers. Conductors with a bundle of 2 to 6 HTS tapes have been made. The bundled conductor is greatly strengthened by the non-silver sheath. No superconductor degradation as compared to the sum of the original critical currents of the individual tapes was seen on the finished conductors.

Lue, J.W.; Lubell, M.S. [Oak Ridge National Lab., TN (United States); Demko, J.A. [Oak Ridge Inst. for Science and Education, TN (United States); Tomsic, M. [Plastronic, Inc., Troy, OH (United States); Sinha, U. [Southwire Company, Carollton, GA (United States)

1997-12-31T23:59:59.000Z

123

Radiation safety considerations for the parasitic Final Focus Test Beam at SLAC  

SciTech Connect

A low intensity electron beam parasitic to the operation of the Stanford Linear Collider (SLC) has been transported through the Final Focus Test Beam (FFTB) facility making secondary test beams available for users. Photons generated in collimation of the SLC electron and positron beams in the linac pass through a splitter magnet that deflects the primary beams away from the linac axis into the SLC beam lines. These photons are converted to electrons and positrons in a secondary production target located down beam on the linac axis. The secondary electrons are then transported through the FFTB beam line onto experimental detectors. The average power of the parasitic beam is very low, thus, it presents no hazards. However, various accident scenarios involving failure of the splitter magnet and the active protection devices could send much more powerful SLC beams (up to 90 kilo-watts) into this zero-degree secondary beam line. For the accident cases, the average power in the transmitted beam was calculated using the Monte Carlo programs EGS4 and TURTLE. Results from analysis of the radiation protection systems that assure safety during the parasitic operation are presented.

Rokni, S.H.; Iverson, R.H.; Keller, L.P.

1996-11-01T23:59:59.000Z

124

Data:Be67027f-f923-4a18-afc1-fbf56b41265b | Open Energy Information  

Open Energy Info (EERE)

7027f-f923-4a18-afc1-fbf56b41265b 7027f-f923-4a18-afc1-fbf56b41265b 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: Otsego Electric Coop, Inc Effective date: End date if known: Rate name: Single Phase in Excess of 25 kVa Sector: Description: *PPA Charges apply to all rates Your monthly bill may include an item called "PPA" (Purchased Power Adjustment). The PPA charge is the "Fuels Charge" that other utilities pass along as the cost of fuel increases. The wholesale cost for power and energy, as well as the cost for delivering that power and energy over NYSEG's transmission lines, varies from month to month-even from hour to hour. Since this increased cost is not included in OEC's base rate of $.08728 per kilo-watt hour (kWh), we collect those increased costs through the PPA.

125

Stability and support issues in the construction of large span caverns for physics  

SciTech Connect

New physics experiments, proposed to study neutrinos and protons, call for the use of large underground particle detectors. In the United States, such detectors would be housed in the US Deep Underground Science and Engineering Laboratory (DUSEL), sited within the footprint of the defunct Homestake Mine, South Dakota. Although the experimental proposals differ in detail, all rely heavily upon the ability of the mined and reinforced rock mass to serve as a stable host for the detector facilities. Experimental proposals, based on the use of Water Cherenkov detector technology, specify rock caverns with excavated volumes in excess of half a million cubic meters, spans of at least 50 m, sited at depths of approximately one to 1.5 kilometers. Although perhaps sited at shallower depth, proposals based on the use of Liquid Argon (LAr) detector technology are no less challenging. LAr proposals not only call for the excavation of large span caverns, but have an additional need for the safe management of large quantities (kilo-tonnes) of cryogenic liquid, including critical provisions for the fail-safe egress of underground personnel and the reliable exhaust of Argon gas in the event of a catastrophic release. These multi-year, high value physics experiments will provide the key experimental data needed to support the research of a new generation of physicists as they probe the behavior of basic particles and the fundamental laws of nature. The rock engineer must deliver caverns that will reliably meet operational requirements and remain stable for periods conservatively estimated to be in excess of twenty years. This paper provides an overview of the DUSEL site conditions and discusses key end-user requirements and design criteria likely to dominate in determining the viability of experimental options. The paper stresses the paramount importance of collecting adequate site-specific data to inform early siting, dimensioning and layout decisions. Given the large-scale of the excavation and likely timeline to construction, the paper also strongly suggests that there are exciting opportunities for the rock mechanics and engineering community to identify and efficiently integrate research components into the design and construction process.

Laughton, C.; /Fermilab

2008-05-01T23:59:59.000Z

126

Combining prior day contours to improve automated prostate segmentation  

SciTech Connect

Purpose: To improve the accuracy of automatically segmented prostate, rectum, and bladder contours required for online adaptive therapy. The contouring accuracy on the current image guidance [image guided radiation therapy (IGRT)] scan is improved by combining contours from earlier IGRT scans via the simultaneous truth and performance level estimation (STAPLE) algorithm. Methods: Six IGRT prostate patients treated with daily kilo-voltage (kV) cone-beam CT (CBCT) had their original plan CT and nine CBCTs contoured by the same physician. Three types of automated contours were produced for analysis. (1) Plan: By deformably registering the plan CT to each CBCT and then using the resulting deformation field to morph the plan contours to match the CBCT anatomy. (2) Previous: The contour set drawn by the physician on the previous day CBCT is similarly deformed to match the current CBCT anatomy. (3) STAPLE: The contours drawn by the physician, on each prior CBCT and the plan CT, are deformed to match the CBCT anatomy to produce multiple contour sets. These sets are combined using the STAPLE algorithm into one optimal set. Results: Compared to plan and previous, STAPLE improved the average Dice's coefficient (DC) with the original physician drawn CBCT contours to a DC as follows: Bladder: 0.81 {+-} 0.13, 0.91 {+-} 0.06, and 0.92 {+-} 0.06; Prostate: 0.75 {+-} 0.08, 0.82 {+-} 0.05, and 0.84 {+-} 0.05; and Rectum: 0.79 {+-} 0.06, 0.81 {+-} 0.06, and 0.85 {+-} 0.04, respectively. The STAPLE results are within intraobserver consistency, determined by the physician blindly recontouring a subset of CBCTs. Comparing plans recalculated using the physician and STAPLE contours showed an average disagreement less than 1% for prostate D98 and mean dose, and 5% and 3% for bladder and rectum mean dose, respectively. One scan takes an average of 19 s to contour. Using five scans plus STAPLE takes less than 110 s on a 288 core graphics processor unit. Conclusions: Combining the plan and all prior days via the STAPLE algorithm to produce treatment day contours is superior to the current standard of deforming only the plan contours to the daily CBCT. STAPLE also improves the precision, with a substantial decrease in standard deviation, a key for adaptive therapy. Geometrically and dosimetrically accurate contours can be automatically generated with STAPLE on prostate region kV CBCT in a time scale suitable for online adaptive therapy.

Godley, Andrew; Sheplan Olsen, Lawrence J.; Stephans, Kevin [Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, Ohio 44195 (United States); Zhao Anzi [Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, Ohio 44195 and Department of Physics, Cleveland State University, 2121 Euclid Avenue, Cleveland, Ohio 44115 (United States)

2013-02-15T23:59:59.000Z

127

130 LPW 1000 Lm Warm White LED for Illumination  

SciTech Connect

An illumination-grade warm-white LED, having correlated color temperature (CCT) between 2700 and 3500 K and capable of producing 1000 lm output at over 130 lm/W at room temperature, has been developed in this program. The high-power warm-white LED is an ideal source for use in indoor and outdoor lighting applications. Over the two year period, we have made the following accomplishments: • Developed a low-cost high-power white LED package and commercialized a series of products with CCT ranging from 2700 to 5700 K under the product name LUXEON M; • Demonstrated a record efficacy of 124.8 lm/W at a flux of 1023 lm, CCT of 3435 K and color rendering index (CRI) over 80 at room temperature in the productized package; • Demonstrated a record efficacy of 133.1 lm/W at a flux of 1015 lm, CCT of 3475 K and CRI over 80 at room temperature in an R&D package. The new high-power LED package is a die-on-ceramic surface mountable LED package. It has four 2 mm2 InGaN pump dice, flip-chip attached to a ceramic submount in a 2x2 array configuration. The submount design utilizes a design approach that combines a high-thermal- conductivity ceramic core for die attach and a low-cost and low-thermal-conductivity ceramic frame for mechanical support and as optical lens carrier. The LED package has a thermal resistance of less than 1.25 K/W. The white LED fabrication also adopts a new batch level (instead of die-by-die) phosphor deposition process with precision layer thickness and composition control, which provides not only tight color control, but also low cost. The efficacy performance goal was achieved through the progress in following key areas: (1) high-efficiency royal blue pump LED development through active region design and epitaxial growth quality improvement (funded by internal programs); (2) improvement in extraction efficiency from the LED package through improvement of InGaN-die-level and package-level optical extraction efficiency; and (3) improvement in phosphor system efficiency by improving the lumen equivalent (LE) and phosphor package efficiency (PPE) through improvement in phosphor-package interactions. The high-power warm-white LED product developed has been proven to have good reliability through extensive reliability tests. The new kilo-lumen package has been commercialized under the product name LUXEON M. As of the end of the program, the LUXEON M product has been released in the following CCT/CRI combinations: 3000K/70, 4000K/70, 5000K/70, 5700K/70, 2700K/80, 3000K/80 and 4000K/80. LM-80 tests for the products with CCTs of 4000 K and higher have reached 8500 hours, and per IESNA TM-21-11 have established an L70 lumen maintenance value of >51,000 hours at A drive current and up to 120 °C board temperature.

Soer, Wouter

2012-06-14T23:59:59.000Z

128

Scaling Up: Kilolumen Solid-State Lighting Exceeding 100 LPW via Remote Phosphor  

SciTech Connect

This thirty-month project was successful in attaining its ambitious objectives of demonstrating a radically novel 'remote-phosphor' LED light source that can out-perform conventional conformal coated phosphor LED sources. Numerous technical challenges were met with innovative techniques and optical configurations. This product development program for a new generation of solid-state light sources has attained unprecedented luminosity (over 1 kilo-lumen) and efficacy (based on the criterion lumens per 100mw radiant blue). LPI has successfully demonstrated its proprietary technology for optical synthesis of large uniform sources out of the light output of an array of separated LEDs. Numerous multiple blue LEDs illuminate single a phosphor patch. By separating the LEDs from the phosphor, the phosphor and LEDs operate cooler and with higher efficiency over a wide range of operating conditions (from startup to steady state). Other benefits of the system include: better source uniformity, more types of phosphor can be used (chemical interaction and high temperatures are no longer an issue), and the phosphor can be made up from a pre-manufactured sheet (thereby lowering cost and complexity of phosphor deposition). Several laboratory prototypes were built and operated at the expected high performance level. The project fully explored two types of remote phosphor system: transmissive and reflective. The first was found to be well suited for a replacement for A19 type incandescent bulbs, as it was able to replicate the beam pattern of a traditional filament bulb. The second type has the advantages that it is pre-collimate source that has an adjustable color temperature. The project was divided in two phases: Phase I explored a transmissive design and Phase II of the project developed reflective architectures. Additionally, in Phase II the design of a spherical emitting transmissive remote phosphor bulb was developed that is suitable for replacement of A19 and similar light bulbs. In Phase II several new reflective remote phosphor systems were developed and patents applied for. This research included the development of reflective systems in which the short-pass filter operated at a nominal incidence angle of 15{sup o}, a major advancement of this technology. Another goal of the project was to show that it is possible to align multiple optics to multiple LEDs (spaced apart for better thermal management) to within an accuracy in the z-direction of 10 microns or less. This goal was achieved. A further goal was to show it is possible to combine and homogenize the output from multiple LEDs without any flux loss or significant increase in etendue. This goal also was achieved. The following color-coded computer drawing of the Phase 2 reflective remote phosphor prototype gives an idea of the accuracy challenges encountered in such an assembly. The actual setup has less functional clarity due to the numerous items of auxiliary equipment involved. Not only did 10 degrees of freedoms alignment have to be supplied to the LEDs and component prisms as well, but there were also micro-titrating glue dispensers and vacuum hoses. The project also utilized a recently introduced high-index glass, available in small customized prisms. This prototype also embodies a significant advance in thin-film design, by which an unprecedented 98% single-pass efficiency was attained over a 30 degree range of incidence angle (Patents Pending). Such high efficiency is especially important since it applies to the blue light going to the phosphor and then again to the phosphor's light, so that the 'system' efficiency associated with short-pass filter was 95.5%. Other losses have to be kept equally small, towards which a new type of ultra-clear injection-moldable acrylic was discovered and used to make ultra-transparent CPC optics. Several transmissive remote phosphor prototypes were manufactured that could replace screw-in type incandescent bulbs. The CRI of the white light from these prototypes varied from 55 to 93. The system efficiency achieved was between 27 to 29.5

Waqidi Falicoff

2008-09-15T23:59:59.000Z