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1

,"Crude Oil and Petroleum Products Total Stocks Stocks by Type"  

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

Total Stocks Stocks by Type" Total Stocks Stocks by Type" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Crude Oil and Petroleum Products Total Stocks Stocks by Type",6,"Monthly","9/2013","1/15/1956" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_stoc_typ_a_ep00_sae_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_stoc_typ_a_ep00_sae_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

2

U.S. Propane Total Stocks  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: U.S. inventories of propane benefited from a late pre-season build that pushed inventories to over 65 million barrels by early November 2000, the second highest peak pre-heating season level since 1986. Although propane inventories were expected to remain within the normal range for the duration of the 2000-01 heating season, cold weather in November and December, along with recently high natural gas prices that discouraged propane production from gas processing, resulted in stocks falling below the normal range by the end of December. However, if the weather remains seasonally normal, and the recent decline in natural gas prices holds, EIA expects the propane inventory drawdown to slow. This is reflected in the data for January 19, which showed a draw of only 2.1 million barrels, compared to more than twice that

3

Low Total OECD Oil Stocks* Keep Market Balance Tight  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: This chart illustrates why EIA sees crude oil prices staying relatively high. It shows global inventories, as measured by OECD petroleum stocks. EIA sees a tenuous supply/demand balance over the remainder of 2001. Global inventories remain low, and need to recover to more adequate levels of forward demand coverage in order to avoid continued price volatility. The most recent data show OECD inventories remaining at very low levels. Low inventories increase the potential for price volatility throughout 2001. Inventories are a good measure of the supply/demand balance that affects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. OECD inventories illustrate the changes in the world petroleum

4

Hanford Speakers Bureau - Hanford Site  

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

Hanford Speakers Bureau Hanford Speakers Bureau Hanford Speakers Bureau Hanford Speakers Bureau Request Form Hanford Speakers Bureau Frequently Asked Questions Why Hanford? Video...

5

U.S. Total Stocks of Crude Oil and Petroleum Products  

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

Area: U.S. PADD 1 New England Central Atlantic Lower Atlantic PADD 2 Cushing, Oklahoma PADD 3 PADD 4 PADD 5 PADD's 4 & 5 Period: Weekly Monthly Annual Area: U.S. PADD 1 New England Central Atlantic Lower Atlantic PADD 2 Cushing, Oklahoma PADD 3 PADD 4 PADD 5 PADD's 4 & 5 Period: Weekly Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 11/08/13 11/15/13 11/22/13 11/29/13 12/06/13 12/13/13 View History Total Crude Oil and Petroleum Products (Incl. SPR) 1,806,930 1,795,196 1,793,557 1,786,470 1,781,747 1,769,150 1990-2013 Total Crude Oil and Petroleum Products (Excl. SPR) 1,110,961 1,099,227 1,097,588 1,090,501 1,085,778 1,073,181 1990-2013 Crude Oil (Including SPR) 1,084,057 1,084,432 1,087,385 1,081,800 1,071,215 1,068,274 1982-2013 Commercial Crude Oil

6

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: The most recent data show OECD inventories remaining at very low levels. EIA expects inventories to remain low through the coming year. This increases the potential for price volatility through the rest of the winter, and into the next gasoline season. Inventories are a good measure of the supply/demand balance that affects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. As global oil production changed relative to demand, the world moved from a period of over-supply in 1998 to one of under-supply in 1999 and 2000. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in

7

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

The most recent data show OECD inventories remaining at very low The most recent data show OECD inventories remaining at very low levels. EIA expects inventories to remain low through the coming year. This increases the potential for price volatility through the winter, and even extending to the next gasoline season. Inventories are a good measure of the supply/demand balance that effects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. As global oil production changed relative to demand, the world moved from a period of over-supply in 1998 to one of under-supply in 1999 and 2000. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in

8

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: The most recent data show OECD inventories remaining at very low levels. EIA expects inventories to remain low through the coming year. This increases the potential for price volatility through the winter, and even extending to the next gasoline season. Inventories are a good measure of the supply/demand balance that effects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. As global oil production changed relative to demand, the world moved from a period of over-supply in 1998 to one of under-supply in 1999 and 2000. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in

9

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: As global production changed relative to demand, the world moved from a period of "over supply" in 1998 to one of "under supply" in 1999 and 2000. Inventories are a good means of seeing the imbalance between petroleum production and demand. For example, when production exceeds demand, inventories rise. A large over supply will put downward pressure on prices, while under supply will cause prices to rise. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in December 1998. However, when demand exceeded production in 1999 and early 2000, inventories fell to the low levels seen above, and prices rose to $35 per

10

University of New Mexico Bureau of Business and Economic Research  

E-Print Network [OSTI]

, Monthly, Seasonally Adjusted Source: US Bureau of Labor Statistics, Current Employment Statistics Peak 10 11 US Total NM Total Source: US Bureau of Labor Statistics, Current Employment Statistics UNM 800 810 820 830 840 850 860 01 02 03 04 05 06 07 08 09 10 11 New Mexico Nonfarm Employment In 1000s

New Mexico, University of

11

Total  

Gasoline and Diesel Fuel Update (EIA)

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

12

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

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

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

13

Total...................  

Gasoline and Diesel Fuel Update (EIA)

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

14

Hanford Speakers Bureau

Frequently Asked Questions - Hanford...
 

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

Speakers Bureau > Hanford Speakers Bureau Frequently Asked Questions Hanford Speakers Bureau Hanford Speakers Bureau Request Form Hanford Speakers Bureau Frequently Asked Questions...

15

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

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

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

16

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

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

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

17

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

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

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

18

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

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

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

19

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

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

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

20

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

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

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

Note: This page contains sample records for the topic "bureau total stocks" 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

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

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

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

22

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

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

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

23

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

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

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

24

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

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

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

25

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

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

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

26

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

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

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

27

U.S. Total Stocks  

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

Crude Oil and Petroleum Products Crude Oil and Petroleum Products 1,665,345 1,736,739 1,776,375 1,794,099 1,750,087 1,807,777 1956-2012 Crude Oil 983,046 1,027,663 1,051,795 1,059,975 1,026,630 1,060,764 1913-2012 All Oils (Excluding Crude Oil) 682,299 709,076 724,580 734,124 723,457 747,013 1993-2012 Pentanes Plus 10,278 13,775 10,481 12,510 17,596 12,739 1981-2012 Liquefied Petroleum Gases 95,592 113,134 102,147 108,272 111,778 140,529 1967-2012 Ethane/Ethylene 14,869 27,591 20,970 24,323 22,892 35,396 1967-2012 Propane/Propylene 52,007 55,408 50,140 49,241 54,978 67,991 1967-2012 Normal Butane/Butylene 21,862 23,031 24,149 27,652 26,779 28,574 1981-2012 Isobutane/Butylene 6,854 7,104 6,888 7,056 7,129 8,568 1981-2012 Other Hydrocarbons 29 20 41 42 2009-2012

28

U.S. Total Stocks  

Gasoline and Diesel Fuel Update (EIA)

Reserve Non-SPR Refinery Tank Farms and Pipelines Leases Alaskan in Transit Bulk Terminal Pipeline Natural Gas Processing Plant Download Series History Download Series History...

29

Bureau of Energy | Open Energy Information  

Open Energy Info (EERE)

Taiwan) Bureau of Energy Retrieved from "http:en.openei.orgwindex.php?titleBureauofEnergy&oldid682546"...

30

Crude Oil and Petroleum Products Total Stocks Stocks by Type  

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

Product: Crude Oil and Petroleum Products Crude Oil All Oils (Excluding Crude Oil) Pentanes Plus Liquefied Petroleum Gases Ethane/Ethylene Propane/Propylene Normal Butane/Butylene Isobutane/Butylene Other Hydrocarbons Oxygenates (excluding Fuel Ethanol) MTBE Other Oxygenates Renewables (including Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Unfinished Oils Unfinished Oils, Naphthas & Lighter Unfinished Oils, Kerosene & Light Gas Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Comp. (MGBC) MGBC - Reformulated MGBC - Reformulated, RBOB MGBC - Reformulated, RBOB w/ Alcohol MGBC - Reformulated, RBOB w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - Conventional, CBOB MGBC - Conventional, GTAB MGBC - Conventional Other Aviation Gasoline Blending Comp. Finished Motor Gasoline Reformulated Gasoline Reformulated Gasoline Blended w/ Fuel Ethanol Reformulated Gasoline, Other Conventional Gasoline Conventional Gasoline Blended Fuel Ethanol Conventional Gasoline Blended Fuel Ethanol, Ed55 and Lower Conventional Other Gasoline Finished Aviation Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate F.O., 15 ppm Sulfur and under Distillate F.O., Greater than 15 to 500 ppm Sulfur Distillate F.O., Greater 500 ppm Sulfur Residual Fuel Oil Residual F.O., than 1.00% Sulfur Petrochemical Feedstocks Naphtha for Petro. Feedstock Use Other Oils for Petro. Feedstock Use Special Naphthas Lubricants Waxes Petroleum Coke Asphalt and Road Oil Miscellaneous Products Period-Unit: Monthly-Thousand Barrels Annual-Thousand Barrels

31

Aluminium in-use stocks in the state of Connecticut  

Science Journals Connector (OSTI)

The in-use stock of aluminium in the State of Connecticut, USA, has been established by an extensive “bottom-up” study. For year 2000, the results are a total stock of 1.2–1.4 Tg Al, or 360–400 kg Al per capita. The per capita stock amount is similar to that derived in a recent study in Japan. Infrastructure & buildings contains nearly 60% of the total stock, and transportation vehicles nearly 40%. The aluminium in equipment of various kinds amounts to only about 2% of the total, and packaging stock is less than 1%.

Korinti Recalde; Jinlong Wang; T.E. Graedel

2008-01-01T23:59:59.000Z

32

Hanford Speakers Bureau Request Form - Hanford Site  

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

the Hanford Speakers Bureau at 509.376.3419. REQUESTER CONTACT INFORMATION Contact Name * PhoneCell * Address * City * Zip Code * Email Address * SPEAKER REQUEST INFORMATION...

33

Bureau of Land Management's Environmental Assessment | Department...  

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

Management's Environmental Assessment - T G Power LLC Hot Sulphur Springs Transmission Line, 120 kV Electric Power Line, Northern Independence Valley, Elko County, Nevada Bureau...

34

Bureau of Land Management - Final Programmatic Environmental...  

Open Energy Info (EERE)

Reference LibraryAdd to library Report: Bureau of Land Management - Final Programmatic Environmental Impact Statement for Geothermal Leasing in the Western United States...

35

Bureau of Justice Statistics Program Report  

E-Print Network [OSTI]

Bureau of Justice Statistics Program Report July 2006, NCJ 211485 U.S. Department of Justice Office security, employment, licensing, and related economic purposes, as required under recent legislation. The Bureau of Justice Statistics' National Criminal History Improvement Program (NCHIP) provides grants

Hemmers, Oliver

36

Bureau of Land Management - Geothermal Drilling Permit | Open...  

Open Energy Info (EERE)

Bureau of Land Management - Geothermal Drilling Permit Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Bureau of Land Management - Geothermal Drilling...

37

RITA-Bureau of Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

RITA-Bureau of Transportation Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: RITA-Bureau of Transportation Statistics AgencyCompany Organization: United...

38

Bureau of Indian Affairs | Open Energy Information  

Open Energy Info (EERE)

Bureau of Indian Affairs Bureau of Indian Affairs Jump to: navigation, search Logo: Bureau of Indian Affairs Name Bureau of Indian Affairs Address 1849 C Street, N.W. Place Washington, DC Zip 20240 Year founded 1824 Phone number (202) 208-3710 Website http://www.bia.gov/ Coordinates 38.8935327°, -77.0425422° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.8935327,"lon":-77.0425422,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

39

City of Los Angeles Bureau of Sanitation  

SciTech Connect (OSTI)

Fact sheet compares emissions testing of Dual-Fuel liquefied natural gas (LNG) and diesel Los Angeles Bureau of Sanitation refuse trucks, performed by DOE's Advanced Vehicle Testing Activity.

Not Available

2004-02-01T23:59:59.000Z

40

University of New Mexico Bureau of Business and Economic Research  

E-Print Network [OSTI]

Bureau of Labor Statistics Employment grew by 120,000 in November and the unemployment rate fell slightly Adjusted Source: US Bureau of Labor Statistics, Current Employment Statistics Peak Trough UNM Bureau Source: US Bureau of Labor Statistics, Current Employment Stat

New Mexico, University of

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


41

Bureau of Reclamation | Open Energy Information  

Open Energy Info (EERE)

Reclamation Reclamation Jump to: navigation, search Logo: Bureau of Reclamation Name Bureau of Reclamation Short Name BOR Address 1849 C Street Place Washington, DC References Reclamation Offices - Addresses and Contacts Name Bureau of Reclamation Address 1849 C Street NW Place Washington, DC Zip 20240-0001 Coordinates 38.8936749°, -77.0425236° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.8936749,"lon":-77.0425236,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

42

Bureau of Land Management Oil Shale Development  

E-Print Network [OSTI]

Bureau of Land Management Oil Shale Development Unconventional Fuels Conference University of Utah May 17, 2011 #12;#12;Domestic Oil Shale Resources Primary oil shale resources in the U.S. are in the Green River Formation in Wyoming, Utah, and Colorado. 72 % of this oil shale resource is on Federal

Utah, University of

43

DOE - Office of Legacy Management -- Naval Gun Factory and Bureau...  

Office of Legacy Management (LM)

Gun Factory and Bureau of Ordnance - DC 0-01 FUSRAP Considered Sites Site: NAVAL GUN FACTORY AND BUREAU OF ORDNANCE (DC.0-01) Eliminated from consideration under FUSRAP - Referred...

44

Bureau of Land Management - Land Use Planning Handbook | Open...  

Open Energy Info (EERE)

Bureau of Land Management - Land Use Planning Handbook Jump to: navigation, search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: Bureau of...

45

NMED Petroleum Storage Tank Bureau webpage | Open Energy Information  

Open Energy Info (EERE)

Tank Bureau webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: NMED Petroleum Storage Tank Bureau webpage Abstract This is the website for the...

46

Low Gasoline Stocks Indicate Increased Odds of Spring Volatility  

Gasoline and Diesel Fuel Update (EIA)

We cannot just focus on distillate. Gasoline will likely be our next We cannot just focus on distillate. Gasoline will likely be our next major concern. Gasoline stock levels have fallen well below the typical band for this time of year, primarily for the same reason distillate stocks fell to low levels -- namely relatively low production due to low margins. At the end of January, total gasoline inventories were almost 13 million barrels (6%) below the low end of the normal band. While gasoline stocks are generally not as important a supply source to the gasoline market this time of year as are distillate stocks to the distillate market, gasoline stocks still are needed. Gasoline stocks are usually used to help meet gasoline demand during February and March as refiners go through maintenance and turnarounds, but we do not have the

47

stocked inventory.PDF  

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

08 08 AUDIT REPORT STOCKED INVENTORY AT THE SAVANNAH RIVER SITE U.S. DEPARTMENT OF ENERGY OFFICE OF INSPECTOR GENERAL OFFICE OF AUDIT SERVICES JUNE 2001 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman (Signed) Inspector General SUBJECT: INFORMATION: Audit Report on "Stocked Inventory at the Savannah River Site" BACKGROUND The Department of Energy's (Department) management and operating contractor at the Savannah River Site, Westinghouse Savannah River Company (Westinghouse), is responsible for managing the majority of the Department's missions and associated stocked inventory at the site. As of March 2001, Westinghouse maintained about

48

Bureau of Land Management- Campground, Utah  

Broader source: Energy.gov [DOE]

The Bureau of Land Management (BLM) has remote field stations in Arizona, California, Utah, Idaho, and Alaska. This photograph shows the field station at Red Cliffs Campground in Utah's Cedar City District. Photovoltaic power systems allow the people working in these remote areas to have the convenience of continuous power. "The comfort and convenience of having 24-hour continuous power has been greatly appreciated by the users," said Trent Duncan of BLM, the mechanical engineer for the project.

49

Distillate Stocks Expected  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: So let's get to what you want to know. What do we expect this upcoming winter? When EIA's demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain towards the lower end of the normal range. We are forecasting about an 11 million barrel build between the end of July 2001 and the end of November 2001, slightly more than the average over the past 5 years (10 million barrels), but less than the average of the last 10 years (15 ½ million barrels). If, however, economic incentives are high enough, distillate stocks could build more, resulting in a higher distillate stock level heading into the winter. Of course, the reverse is true as well, if for example, the distillate fuel refining spread declines substantially. Since 1994,

50

PAD District III Stocks  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: PADD 3 (the Gulf Coast) inventories, at the end of July, stood at 33.5 million barrels and are well above the normal range for this time of year. Since we have a few months more to go until the beginning of the heating season, there is still time for the plentiful stocks in the Gulf Coast to find their way up into the Midwest. Thus, even though propane stocks in the Midwest are low, this could easily not be the case by the beginning of the heating season. One slight area of concern, however, is that the Texas Eastern Pipeline (TET) is experiencing brine problems due to heavy rains and record stock builds. To help alleviate the problem, some chemical companies are shifting their propane out of TET to other storage facilities. At this time we don't feel that this will negatively affect the propane market this

51

Bureau of Land Management - WO-210 - Contact Information | Open...  

Open Energy Info (EERE)

- Contact Information Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - WO-210 - Contact Information Abstract This page...

52

Bureau of Indian Affairs Tribal Directory | Open Energy Information  

Open Energy Info (EERE)

Tribal Directory Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Indian Affairs Tribal Directory Abstract This website contains a...

53

DOE and the Bureau of Safety and Environmental Enforcement Sign...  

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

of Safety and Environmental Enforcement Sign Memorandum of Collaboration for Safe Offshore Energy Development DOE and the Bureau of Safety and Environmental Enforcement Sign...

54

Bureau of Land Management - Notice of Intent to Conduct Geothermal...  

Open Energy Info (EERE)

Conduct Geothermal Resource Exploration Operations Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Bureau of Land Management - Notice of Intent to Conduct...

55

Bureau of Indian Affairs Contact Information Website | Open Energy...  

Open Energy Info (EERE)

Information Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Indian Affairs Contact Information Website Abstract This website...

56

Bureau of Indian Education Many Farms Training Program at Argonne  

ScienceCinema (OSTI)

Bureau of Indian Education Many Farms Training Program for Renewable Energy at Argonne National Laboratory. Principal Contacts; Harold Myron (ANL), Anthony Dvorak (ANL), Freddie Cardenas (BIA). Supported by; United States Department of the Interior, Bureau of Indian Education, and Argonne National Laboratory

None

2013-04-19T23:59:59.000Z

57

Bureau of Commercial Fisheries Symposium on Red Tide  

E-Print Network [OSTI]

21 Bureau of Commercial Fisheries Symposium on Red Tide By James E. Sykes Marine Biological, Donald L. McKernan, Director Bureau of Commercial Fisheries Symposium on Red Tide By James E. Sykes causing Red-Tide blooms as deduced from field observations 2 Red- Tide research at the Florida State

58

HOW TO FIND US The Bureau of Economic and  

E-Print Network [OSTI]

HOW TO FIND US The Bureau of Economic and Business Research is located in Room 401 of the Kendall D parking lot, across Campus Center Drive. Validation is available. Bureau of Economic and Business Research@business.utah.edu Web: bebr.utah.edu JAMES A. WOOD Director Housing, Construction, and Economic Development 801

Provancher, William

59

ANNUAL REPORT OF THE BUREAU OF COMMERCIAL FISHERIES  

E-Print Network [OSTI]

ANNUAL REPORT OF THE BUREAU OF COMMERCIAL FISHERIES BIOLOGICAL LABORATORY, GALVESTON, TEXAS FISCAL of Commercial Fisheries Biological Laboratory, Galveston, Texas Fiscal Year 1965 Milton J, Lindner, Director Laboratory, Galveston, Tex, Circular 246 Washington, D.C. June 1966 #12;The Bureau of Commercial Fisheries

60

Survey of Critical Wetlands Bureau of Land Management Lands  

E-Print Network [OSTI]

Survey of Critical Wetlands Bureau of Land Management Lands South Park, Park County, Colorado 2003 Delivery Colorado State University #12;Survey of Critical Wetlands Bureau of Land Management Lands South place from unique wetlands to high quality grasslands to the bristlecone pine forests to its alpine

Note: This page contains sample records for the topic "bureau total stocks" 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

Stocking Rate Decisions  

E-Print Network [OSTI]

to predict potential forage shortfalls, determine the im- pact of the decision on finances and other ranch re- sources, and make any necessary adjustments before the forage resource is harmed or financial problems occur. Through adequate planning and periodic... rates with limited knowledge of future forage and market conditions. But they can use past records, experience and range surveys to make realistic projections of forage and market conditions (Figure 3). Then, the planned stock- ing rate should...

White, Larry D.; McGinty, Allan

1999-02-15T23:59:59.000Z

62

Jim Stock | Department of Energy  

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

Jim Stock Jim Stock About Us Jim Stock - Member - White House Council of Economic Advisers James H. Stock is a member of the Council of Economic Advisers and is responsible for offering the President objective advice on the formulation of economic policy. Stock was previously the Chief Economist for the Council of Economic Advisers. He is on leave from Harvard University where he is the Harold Hitchings Burbank Professor of Political Economy in the Department of Economics, with a dual appointment in the Harvard Kennedy School. Dr. Stock served as Chair of the Harvard Economics Department from 2006 to 2009 and has been a professor at Harvard continuously since 1983, with the exception of a two-year appointment at UC Berkeley from 1990 to 1991. His research focuses on macroeconomic forecasting, monetary policy, and

63

Agency Bureau Primary Activity Code Secondary Activity Code  

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

ENCLOSURE 1 ENCLOSURE 1 Agency Bureau Primary Activity Code Secondary Activity Code Additional Activity Code Description of Activity Competed Type of Competition Location (State) # of FTE in study # of Bids Received Start Date (Day/Mo/Yr) End Date (Day/Mo/Yr) Expected Phase-In Completion Date (Day/Mo/Yr) Actual Phase- In Completion Date (Day/Mo/Yr) Source Selection Strategy Used Winning Provider FY 2006 Costs Total Cost All Years Estimated Savings Period of Est. Savings (Performance Period--in years) Annualized Savings Actual Savings (if available) Saving Methodology: Calculation / Proxy Quantifiable Description of Improvements in Service or Performance (if appropriate) 0 0 0.000 0.000 0.000 0.000 0.000 0 0 0.000 0.000 0.000 0.000 0.000 0 0 0.000 0.000 0.000 0.000 0.000 0.628 FY 2007 FIXED COSTS*

64

Stocks, bonds and the  

Science Journals Connector (OSTI)

In this paper, we investigate the relative performance of stocks and bonds for various investment horizons on the French market. We use a new matched block bootstrap approach to take account of estimation risk. Furthermore, in the light of non-normality of returns, we use two different risk approaches as inputs in portfolio optimization: the traditional variance, and a downside risk measure, the semi-variance. Our results suggest that an investor should avoid bonds in the long run due to the time diversification effect.

Gilles Sanfilippo

2003-01-01T23:59:59.000Z

65

Organisationalmanagement 173BUREAU OF METEOROLOGY ANNUAL REPORT 201213  

E-Print Network [OSTI]

Service (APS) wide best practice initiatives in workforce planning and organisational development, and contributed our experience to the national workforce management agenda. Workforce planning is critical. Workforce planning, hiring, turnover, and retention Workforce planning The Bureau's workforce

Greenslade, Diana

66

Bureau of Land Management - NEPA Website | Open Energy Information  

Open Energy Info (EERE)

Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - NEPA Website Abstract This page links to the BLM NEPA website....

67

New Mexico Surface Water Quality Bureau Federal Dredge and Fill...  

Open Energy Info (EERE)

New Mexico Surface Water Quality Bureau Federal Dredge and Fill Permits webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: New Mexico Surface...

68

Bureau of Land Management - Techniques for Documenting a No Action...  

Open Energy Info (EERE)

for Documenting a No Action Alternative in an EA Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - Techniques for Documenting...

69

Bureau of Land Management - Examples of FONSIs | Open Energy...  

Open Energy Info (EERE)

FONSIs Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - Examples of FONSIs Abstract This web page contains examples of...

70

Bureau of Land Management - Land Use Planning | Open Energy Informatio...  

Open Energy Info (EERE)

Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - Land Use Planning Abstract The BLM's Resource Management Plans (Land Use...

71

Bureau of Land Management - E-Forms | Open Energy Information  

Open Energy Info (EERE)

E-Forms Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - E-Forms Abstract This website contains electronic forms for the...

72

Bureau of Land Management - Resource Advisory Councils | Open...  

Open Energy Info (EERE)

Advisory Councils Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - Resource Advisory Councils Abstract The BLM formed 29...

73

Bureau of Land Management - NEPA Web Guide | Open Energy Information  

Open Energy Info (EERE)

Guide Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - NEPA Web Guide Abstract The NEPA Web Guide includes links to official...

74

Montana Bureau of Mines and Geology Website | Open Energy Information  

Open Energy Info (EERE)

Geology Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Montana Bureau of Mines and Geology Website Abstract Provides access to digital...

75

An electronic computer service bureau; a feasibility study  

E-Print Network [OSTI]

Service Bureau 11 16 18 19 22 SELECTION OF COMPUTER EQUIPMENT 26 Lease or Purchase . Computer Components Punch Card Equipment 29 37 42 IV. ORGANIZATIONAL STRUCTURE OF THE SERVICE BUREAU 48 Concepts of Management Concepts of Personnel . A... calculation that he built the world's first practical mechanical calculator. His "Difference Engine p as he called it, was demonstrated in 1822. Before Babbage had perfected the Difference Engine, however, he became possessed with bigger ideas. He...

Fossum, Jerry Elmer

1964-01-01T23:59:59.000Z

76

Missouri Ordnance Works Becomes Bureau ot Mines Demonstration Plant  

Science Journals Connector (OSTI)

The Bureau of Mines estimates that the United States has about 3 trillion tons of coal reserves—enough to supply the nation with both solid and liquid fuels for at least 1,000 years. ... The Bureau of Mines will take over the Missouri Ordnance Works, near Louisiana, Mo., a $17,500,000 plant that made synthetic ammonia during the war, and convert it into a demonstration plant for the production of gasoline and oil from coal and lignite. ...

1946-01-10T23:59:59.000Z

77

Table 38. Coal Stocks at Coke Plants by Census Division  

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

Coal Stocks at Coke Plants by Census Division Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 38. Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Census Division June 30, 2013 March 31, 2013 June 30, 2012 Percent Change (June 30) 2013 versus 2012 Middle Atlantic w w w w East North Central 1,313 1,177 1,326 -1.0 South Atlantic w w w w East South Central w w w w U.S. Total 2,500 2,207 2,295 8.9 w = Data withheld to avoid disclosure. Note: Total may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration (EIA), Form EIA-5, 'Quarterly Coal Consumption and Quality Report - Coke Plants.'

78

On the performance of the base-stock inventory system under a compound Erlang demand distribution  

Science Journals Connector (OSTI)

Abstract In this paper, we propose a new method for determining the optimal base-stock level in a single echelon inventory system where the demand is a compound Erlang process and the lead-time is constant. The demand inter-arrival follows an Erlang distribution and the demand size follows a Gamma distribution. The stock is controlled according to a continuous review base-stock policy where unfilled demands are backordered. The optimal base-stock level is derived based on a minimization of the total expected inventory cost. A numerical investigation is conducted to analyze the performance of the inventory system with respect to the different system parameters and also to show the outperformance of the approach that is based on the compound Erlang demand assumption as compared to the classical Newsboy approach. This work allows insights to be gained on stock control related issues for both slow and fast moving stock keeping units.

S. Saidane; M.Z. Babai; M.S. Aguir; O. Korbaa

2013-01-01T23:59:59.000Z

79

Bureau Valley School District Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Valley School District Wind Farm Valley School District Wind Farm Jump to: navigation, search Name Bureau Valley School District Wind Farm Facility Bureau Valley School District Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Bureau Valley School District Developer Engineers Architects Professional Corp. Energy Purchaser Bureau Valley School District Location Bureau Valley IL Coordinates 41.4661°, -89.678° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.4661,"lon":-89.678,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

80

Pennsylvania Bureau of Oil and Gas Management | Open Energy Information  

Open Energy Info (EERE)

Bureau of Oil and Gas Management Bureau of Oil and Gas Management Jump to: navigation, search State Pennsylvania Name Pennsylvania Bureau of Oil and Gas Management Address Rachel Carson State Office Building City, State Harrisburg, PA Zip 17105-8765 Website http://www.dep.state.pa.us/dep Coordinates 40.267244°, -76.886214° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.267244,"lon":-76.886214,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "bureau total stocks" 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

Magnetotellurics At Salt Wells Area (Bureau of Land Management, 2009) |  

Open Energy Info (EERE)

Salt Wells Area (Bureau of Land Management, 2009) Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Magnetotellurics At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Magnetotellurics Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes Data from these wells is proprietary, and so were unavailable for inclusion

82

ORISE: Helping Bureau of Reclamation with National Security Exercises at  

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

plans full-scale exercises to test security at major U.S. Bureau of plans full-scale exercises to test security at major U.S. Bureau of Reclamation dams ORISE has served as lead exercise planner for the U.S. Department of the Interior, Bureau of Reclamation's Critical Infrastructure Exercise Program since its inception in 2003. Six of the dams operated by BOR are designated as National Critical Infrastructure facilities: Flaming Gorge, Folsom, Glen Canyon, Grand Coulee, Hoover and Shasta. The program helps BOR answer an important question-are these massive dams secure in the event of a terrorist attack? Exercise programs for each of these critical facilities typically extend over a 12-month period during which ORISE facilitates a series of exercise events that test emergency response plans. ORISE guides the dam's staff,

83

Notices DEPARTMENT OF THE INTERIOR Bureau of Land Management  

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

58 Federal Register 58 Federal Register / Vol. 76, No. 209 / Friday, October 28, 2011 / Notices DEPARTMENT OF THE INTERIOR Bureau of Land Management DEPARTMENT OF ENERGY [LLWO300000.L14300000] Notice of Availability of the Supplement to the Draft Programmatic Environmental Impact Statement for Solar Energy Development in Six Southwestern States and Notice of Public Meetings AGENCY: Bureau of Land Management, Interior. Department of Energy. ACTION: Notice of availability. SUMMARY: The Bureau of Land Management (BLM) and the Department of Energy (DOE) (the Agencies) as joint lead agencies announce the availability of the Supplement to the Draft Programmatic Environmental Impact Statement (EIS) for Solar Energy Development in Six Southwestern States (Supplement) (BLM/DES 11-49,

84

Persistent collective trend in stock markets  

Science Journals Connector (OSTI)

Empirical evidence is given for a significant difference in the collective trend of the share prices during the stock index rising and falling periods. Data on the Dow Jones Industrial Average and its stock components are studied between 1991 and 2008. Pearson-type correlations are computed between the stocks and averaged over stock pairs and time. The results indicate a general trend: whenever the stock index is falling the stock prices are changing in a more correlated manner than in case the stock index is ascending. A thorough statistical analysis of the data shows that the observed difference is significant, suggesting a constant fear factor among stockholders.

Emeric Balogh; Ingve Simonsen; Bálint Zs. Nagy; Zoltán Néda

2010-12-13T23:59:59.000Z

85

Standing crop dynamics under simulated short-duration grazing at four stocking rates  

E-Print Network [OSTI]

separation for stocking rate main factor for total forage during 1982, averaged across replications and grazing cycles. 86 Table 40. Statistical model and alpha significance probabilities for the percentages of organic matter (OM), crude protein (CP...

Casco, Jose Francisco

2012-06-07T23:59:59.000Z

86

Bureau of Energy Efficiency Standard & Labelling (India) Website | Open  

Open Energy Info (EERE)

Bureau of Energy Efficiency Standard & Labelling (India) Website Bureau of Energy Efficiency Standard & Labelling (India) Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Bureau of Energy Efficiency Standard & Labelling (India) Website Focus Area: Energy Efficiency, - Utility Topics: Policy, Deployment, & Program Impact Website: www.beeindia.in/ Equivalent URI: cleanenergysolutions.org/content/bureau-energy-efficiency-standard-lab Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Voluntary Appliance & Equipment Labeling Regulations: "Building Codes,Energy Standards,Incandescent Phase-Out" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

87

University of New Mexico Bureau of Business and Economic Research  

E-Print Network [OSTI]

Employment Statistics 720 740 760 03 04 05 06 07 08 09 10 11 12 UNM Bureau of Business and Economic Research of Labor Statistics, Current Employment Statistics 0.86 0.88 0.90 03 04 05 06 07 08 09 10 11 12 New Mexico's coincident index Coincident index includes: · Nonfarm employment · Avg. hours worked in manufacturing

New Mexico, University of

88

Programperformance BUREAU OF METEOROLOGY ANNUAL REPORT 201213 41  

E-Print Network [OSTI]

services for severe weather, tropical cyclones, fire weather, volcanic ash, tsunami, and space weather in multiple formats, and new technologies such as mobile devices. The Bureau is committed to improving, relevant weather information and warnings are available to all Australians built on advances in forecasting

Greenslade, Diana

89

Quantum Brownian motion model for stock markets  

E-Print Network [OSTI]

We investigate the relevance between quantum open systems and stock markets. A Quantum Brownian motion model is proposed for studying the interaction between the Brownian system and the reservoir, i.e., the stock index and the entire stock market. Based on the model, we investigate the Shanghai Stock Exchange of China from perspective of quantum statistics, and thereby examine the behaviors of the stock index violating the efficient market hypothesis, such as fat-tail phenomena and non-Markovian features. Our interdisciplinary works thus help to discovery the underlying quantum characteristics of stock markets and develop new research fields of econophysics.

Meng, Xiangyi; Guo, Hong

2014-01-01T23:59:59.000Z

90

Stocking Rate: The Key Grazing Management Decision  

E-Print Network [OSTI]

Stocking rate is the most important grazing management decision a rancher makes. This publication covers all the factors involved in determining an appropriate stocking rate, including rainfall and forage production, range condition, and the forage...

Lyons, Robert K.; Machen, Richard V.

2001-07-19T23:59:59.000Z

91

Privacy Threats in Online Stock Quotes  

Science Journals Connector (OSTI)

Stock traders reveal information about their pending trades by their selection of stock performance data to retrieve from the web. Potentially malicious quote publishers have access to this information, and ca...

Peter Williams

2008-01-01T23:59:59.000Z

92

Essays on macroeconomic risks and stock prices  

E-Print Network [OSTI]

In this thesis, I study the relationship between macroeconomic risks and asset prices. In the first chapter, I establish that inflation risk is priced in the cross-section of stock returns: stocks that have low returns ...

Duarte, Fernando Manuel

2011-01-01T23:59:59.000Z

93

Islamic Finance Bulletin Conventional Stock Markets 2  

E-Print Network [OSTI]

by about 6 percent. There were signs of revival in the Tunisian economy after Qatar extended a USD 1- lar increased from oil importers, and as #12;StockMarkets Table 2: Evolution of Islamic Stock Markets

Meju, Max

94

Bureau of Land Management - Campground, Utah | Department of Energy  

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

Land Management - Campground, Utah Land Management - Campground, Utah Bureau of Land Management - Campground, Utah October 7, 2013 - 9:47am Addthis Photo of Field Station at Red Cliffs Campground in Utah's Cedar City District The Bureau of Land Management (BLM) has remote field stations in Arizona, California, Utah, Idaho, and Alaska. This photograph shows the field station at Red Cliffs Campground in Utah's Cedar City District. Photovoltaic power systems allow the people working in these remote areas to have the convenience of continuous power. "The comfort and convenience of having 24-hour continuous power has been greatly appreciated by the users," said Trent Duncan of BLM, the mechanical engineer for the project. A standardized system design based on existing BLM systems was developed

95

Interior Bureau of Land Management Battle Mountain District Office  

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

United States Department of the United States Department of the Interior Bureau of Land Management Battle Mountain District Office Battle Mountain Nevada November 19, 2010 Tonopah Field Office Tonopah, Nevada FES-10-57 N-86292 DOI-BLM-NVB020-2009-0104-EIS Tonopah Solar Energy, LLC Crescent Dunes Solar Energy Project Final Environmental Impact Statement Proposed Crescent Dunes Solar Energy Project: Final EIS| ii BLM Mission Statement It is the mission of the Bureau of Land Management to sustain the health, diversity, and productivity of the public lands for the use and enjoyment of present and future generations. BLM/NV/BM/EIS/10/30+1793 DOI No. FES 10-57 http://www.blm.gov/nv/stlenlfo/battle_mountain_field.html In Reply Refer To: N-86292 DOI-BLM-NVBO2O-2009-0 1 04-EIS 2800 (NVB0200) Dear

96

Mr. John E. Kieling, Chief Hazardous Was te Bureau  

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

John E. Kieling, Chief John E. Kieling, Chief Hazardous Was te Bureau Depa rtment of Energy Carlsbad Field Office P. O. Box 3090 Carlsbad , New Mexico 88221 NOV 0 5 2013 New Mexico Environment Department 2905 Rodeo Park Drive East. Building 1 Santa Fe, New Mexico 87505-6303 Subject: Panel 6 Closure and Final Waste Emplacement Notifications Dear Mr. Kieling : The purpose of this leiter is 1 0 notify th e New Mexico Environment Department (NMEO) that the

97

Outlook of the World Steel Cycle Based on the Stock and Flow Dynamics  

Science Journals Connector (OSTI)

The material flows are dependent on various factors, such as economic parameters (GDP, metal price, energy price, etc.) and technological restrictions (ore grade, energy intensity, etc.) (7). ... Compared with eq 9, the variable t is replaced with per capita GDP, and stock is handled in per capita values as well (therefore, here Ssat, which denotes total stock, was replaced with ssat, which denotes per capita stock). ... that the world demand for iron ore (primary iron) depends not on the vol. of GDP but on the variation of GDP, as already reported. ...

Hiroki Hatayama; Ichiro Daigo; Yasunari Matsuno; Yoshihiro Adachi

2010-07-22T23:59:59.000Z

98

The effects of stocking density on two Tilapia species raised in an intensive culture system  

E-Print Network [OSTI]

. , SUNY College of Environmental Science and Forestry Chairman of Advisory Committee: Dr. Robert R. Stickney ~Tile ia auras and T. mossambica fry were stocked in a flowing system at varying stocking densities (5, 10, 20, 30, 40, 50, and 60 fish/tank... in 60 liters of water) in an intensive tank culture system. The fish were maintained for 101 days on commercial pelleted feed. In terms of length increase, weight gain, condition, total yi. eld, and food conversion rates, T. sures performed...

Henderson-Arzapalo, Anne

1979-01-01T23:59:59.000Z

99

Moving Toward the Circular Economy: The Role of Stocks in the Chinese Steel Cycle  

Science Journals Connector (OSTI)

(15, 16) Another common approach is to correlate the flows of steel consumption to external GDP projections, e.g., in the World Energy Model(17) or as in a publication by Das and Kandpal. ... Future demand for the total in-use stock S1(t) is determined by multiplying population estimates P(t) with a scenario-specific set of per-capita stocks ci(t) for all product categories: ...

Stefan Pauliuk; Tao Wang; Daniel B. Müller

2011-11-17T23:59:59.000Z

100

Low Stocks Mean Tight Markets  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Like those for other petroleum products, gasoline inventories have been running below normal. As of the latest weekly data, stocks are about 5% lower than the low end of the normal range for this time of year. Behind all of the low product inventories are low crude oil inventories. Recall that the crude market tightened in 1999 when OPEC cut back production. Demand was greater than supply and inventories were used to make up the difference. They have not yet recovered. Crude oil inventories are running about 7% below the low end of the normal range for this time of year. After last week's very large stock draw, it appears inventories are the lowest that they have been since December 1975. The U.S. inventory data will be an important price barometer to

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


101

TOTAL Full-TOTAL Full-  

E-Print Network [OSTI]

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

Portman, Douglas

102

Total Imports  

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

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

103

Distillate Stocks Expected to Remain Low  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: When EIA's demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain low for the rest of the year. - Stocks are beginning at very low levels. The September 1 distillate fuel stock level (112 million barrels) is nearly 20% less than last year, and about 15% below the 10 year average for end of August levels. - But stocks on the East Coast, at 39.8 million barrels, are 39% behind year-ago levels, and about a similar percentage below end-of-August 10-year average levels. Over the last 10 years, the average stock build from the end of August through the end of November has been about 10 million barrels. We are forecasting about a 12 million barrel build, which does not reach the normal band. Forecast stocks peak at the end of November at 127 million

104

Nevada Bureau of Mines and Geology | Open Energy Information  

Open Energy Info (EERE)

Mines and Geology Mines and Geology Jump to: navigation, search State Nevada Name Nevada Bureau of Mines and Geology Address University of Nevada/178 City, State Reno, Nevada Zip 89557 Website http://www.nbmg.unr.edu/Oil&Ga Coordinates 39.5440601°, -119.8136573° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.5440601,"lon":-119.8136573,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

105

Bureau of Indian Affairs - Supai Village, Arizona | Department of Energy  

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

Indian Affairs - Supai Village, Arizona Indian Affairs - Supai Village, Arizona Bureau of Indian Affairs - Supai Village, Arizona October 7, 2013 - 9:48am Addthis Photo of Photovoltaic Energy System at Havasupai Indian Reservation Village of Supai, Arizona The Havasupai Indian Reservation village of Supai, Arizona, is located approximately 40 miles northwest of Grand Canyon Village, AZ. It is one of the most remote Native American communities in the nation. Most supplies must be either flown in by helicopter or trekked in on horseback or by mule trains. Three photovoltaic (PV) energy systems will supply up to 2 kilowatts of electrical power each to three facilities, which include a school, a jail, and a government complex that houses local teachers and police officers. This community of 2,000 people experiences three or more electrical outages

106

Bachelor Project StockHome -Web Application  

E-Print Network [OSTI]

Bachelor Project StockHome - Web Application User interface for a financial analysis tool Gilad and assisting us during dark times. Last but not least, I would like to thank my friends who spent those long . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 iii #12;Gilad Geron StockHome - Web Application A Technologies 31 A.1 Ruby

Lanza, Michele

107

TRAWLING AND THE STOCKS OF FISH  

Science Journals Connector (OSTI)

... before the Royal Society of Arts on January 27 on “Trawling and the Stocks of Fish”, Dr. E. S. Russell, director of fishery investigations, Ministry of Agriculture ... manner the problems which will confront us after the War in connexion with the national fish stocks of Great Britain and those of our near neighbours. In a summary of ...

1943-03-20T23:59:59.000Z

108

Land Ethics for Bureau of Land Management Employees1 Duane DePaepe2  

E-Print Network [OSTI]

Land Ethics for Bureau of Land Management Employees1 Duane DePaepe2 Abstract: With increased expected to make what is perceived as "right decisions." The ethical dimensions of often highly complex is designed to promote a land ethic awareness among a wide spectrum of bureau employees who contribute

Standiford, Richard B.

109

0.S e Weather Bureau. Preliminary report with advisories and bulle-  

E-Print Network [OSTI]

ATLANTIC WHICH HAS BEEN UNDER OBSERVATION DURING THE PAST SEVERAL DAYS BY THE WEATHER SATELLITE COMMA SHIPSQC 945.2 .D42 H8 1963 c.2 0.S e Weather Bureau. Preliminary report with advisories and bulle- tins issued. Hurricane Debra, September 21-24, 1963. #12;U. S. DEPARTMENT OF COMMERCE 0,$, WEATHER BUREAU SEP

110

Systematic analysis of group identification in stock markets  

Science Journals Connector (OSTI)

We propose improved methods to identify stock groups using the correlation matrix of stock price changes. By filtering out the marketwide effect and the random noise, we construct the correlation matrix of stock groups in which nontrivial high correlations between stocks are found. Using the filtered correlation matrix, we successfully identify the multiple stock groups without any extra knowledge of the stocks by the optimization of the matrix representation and the percolation approach to the correlation-based network of stocks. These methods drastically reduce the ambiguities while finding stock groups using the eigenvectors of the correlation matrix.

Dong-Hee Kim and Hawoong Jeong

2005-10-25T23:59:59.000Z

111

Political Risk and Stock Market Development  

Science Journals Connector (OSTI)

This article examines empirically the relationship between political instability and stock market development in a small capital market (the Greek capital market). We measure socio-political instability by con...

Costas Siriopoulos; Dimitrios Asteriou

1998-01-01T23:59:59.000Z

112

Credit Conditions and Stock Return Predictability  

E-Print Network [OSTI]

This dissertation examines stock return predictability with aggregate credit conditions. The aggregate credit conditions are empirically measured by credit standards (Standards) derived from the Federal Reserve Board's Senior Loan Officer Opinion...

Park, Heungju

2012-10-19T23:59:59.000Z

113

Skewness in individual stocks at different investment  

Science Journals Connector (OSTI)

This paper examines the (a)symmetry of several individual stock returns at different investment horizons: daily, weekly and monthly. While some asymmetries are observed in daily returns, they disappear almost completely in weekly and monthly returns. The explanation for this fact lies in the convergence to normality that takes place when the investment horizon increases. These features allow one to question several financial models; in particular, they question the preference for positive skewness as a factor for investments in stock markets.

Amado Peiró

2002-01-01T23:59:59.000Z

114

An evaluation of total body electrical conductivity to estimate body composition of largemouth bass  

E-Print Network [OSTI]

Information about body composition of fish is important for the assessment and management of fish stocks. Measurement of total body electrical conductivity (TOBEC) recently has been used to estimate the body composition of several fish species in a...

Barziza, Daniel Eugene

2012-06-07T23:59:59.000Z

115

Naphthenic/paraffinic hydrocarbons of residual lube stock from West Siberian crudes  

SciTech Connect (OSTI)

The lube stocks from West Siberian crudes are characterized by high contents of aromatic hydrocarbons and by high viscosity indexes of the naphthenic/paraffinic and aromatic hydrocarbons. Mass spectrometric analysis showed that isoparaffins account for one-third of the total naphthenic/paraffinic hydrocarbons. The study showed that the naphthenic/paraffinic hydrocarbons of the residual lube stock from West Siberia crudes, even with a variation of molecular weight over broad limits, are relatively uniform in composition. They consist mainly of isoparaffinic and monocyclic and noncondensed naphthenic structures.

Detusheva, E.P.; Bogdanov, Sh.K.; Khramtsova, L.P.; Nekrasova, A.V.; Shkol'nikov, V.M.

1983-03-01T23:59:59.000Z

116

DOE - Office of Legacy Management -- National Bureau of Standards - DC 01  

Office of Legacy Management (LM)

Bureau of Standards - DC Bureau of Standards - DC 01 FUSRAP Considered Sites Site: NATIONAL BUREAU OF STANDARDS (DC.01) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Van Ness Street , Washington , D.C. DC.01-1 Evaluation Year: 1987 DC.01-2 DC.01-3 Site Operations: Performed quality analysis lab work for the MED during the 1940s; decontamination efforts were completed in 1952 and the building was demolished in 1976 DC.01-3 Site Disposition: Eliminated - Radiation levels Below criteria DC.01-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Radium DC.01-4 Radiological Survey(s): Yes DC.01-1 Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to NATIONAL BUREAU OF STANDARDS

117

DOE - Office of Legacy Management -- Bureau of Mines - CO 0-02  

Office of Legacy Management (LM)

Bureau of Mines - CO 0-02 Bureau of Mines - CO 0-02 FUSRAP Considered Sites Site: Bureau of Mines (CO.0-02 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: National Radium Institute CO.0-02-1 Location: Denver , Colorado CO.0-02-1 Evaluation Year: 1986 CO.0-02-1 Site Operations: Radium processing and process development; produced radium, uranium oxide, and vanadium oxide from June 1914 to January 1917. CO.0-02-1 Site Disposition: Eliminated - No Authority - Work not performed by or for DOE predecessor agency CO.0-02-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Radium CO.0-02-1 Radiological Survey(s): None Indicated Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to Bureau of Mines

118

DOE and the Bureau of Safety and Environmental Enforcement Sign Memorandum  

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

and the Bureau of Safety and Environmental Enforcement Sign and the Bureau of Safety and Environmental Enforcement Sign Memorandum of Collaboration for Safe Offshore Energy Development DOE and the Bureau of Safety and Environmental Enforcement Sign Memorandum of Collaboration for Safe Offshore Energy Development August 23, 2013 - 1:47pm Addthis A copy of the Memorandum of Collaboration can be found here. WASHINGTON, D.C.- The Department of Energy's (DOE) Office of Fossil Energy and The Bureau of Safety and Environmental Enforcement (BSEE) signed a Memorandum of Collaboration this week that will coordinate the ongoing efforts of the two agencies on offshore research and technological improvement projects. Through this collaboration, BSEE and DOE will continue to work together to ensure safe, sustainable offshore production

119

Property:StockSymbol | Open Energy Information  

Open Energy Info (EERE)

StockSymbol StockSymbol Jump to: navigation, search This is a property of type String. Pages using the property "StockSymbol" Showing 25 pages using this property. (previous 25) (next 25) A A.O. Smith + AOS + AAON + AAON + Alterra Power + MGMXF + Ameresco, Inc. + AMRC + Applied Materials + AMAT + Archer Daniels Midland + ADM + Autodesk + ADSK + C China Integrated Energy + CBEH + E EEMAP, Inc. + N/A + EnerNOC + ENOC + Evergreen Solar, Inc. + ESLR + ExxonMobil + XOM + G General Electric + GE + Geothermal Resources Council + Geothermal Resources Council + Goodwill Instrument + TPE 2423 + GreenShift Corporation + GERS.OB + Gulfsands Petroleum + AIM:GPX + H Helix Wind Corp. + HLXW + I ICF International + NASDAQ:ICFI + J Johnson Controls + JCI + M Molycorp Inc. + MCP +

120

U.S. Crude Oil Stocks  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: U.S. crude oil stocks stood at about 289 million barrels on September 8, according to EIA's latest survey. This puts them about 24 million barrels below the level seen at the same time last year. Current market conditions do not suggest much improvement in the near term. We probably ended last month (August 2000) with the lowest level for end-of-August crude oil stocks (289 million barrels) in the United States since 1976, when crude oil inputs to refineries were about 2 million barrels per day less than today. However, by EIA data, we have seen (at least slightly) lower crude stocks in recent months, including an end-December 1999 level of 284 million barrels. The American Petroleum Institute (API), which also surveys petroleum supply and demand

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


121

Wilderness designation of Bureau of Land Management lands and impacts on the availability of energy resources  

SciTech Connect (OSTI)

In 1964 Congress mandated the establishment of the National Wilderness Preservation System - a collection of federal lands dedicated to the preservation of selected parts of our once vast wilderness. Because wilderness management precludes many traditional land uses, controversy has plagued the efforts of land-management agencies to select and recommend areas for wilderness inclusion. This study examines potential impacts on the supply of energy resources from the possible withdrawal by the Bureau of Land Management (BLM) of some part of the 24.3 million acres of public lands now under study for inclusion in the wilderness system. Except for uranium, the energy-resource potential of the total WSA-acreage is low. Wilderness designation of some WSAs is therefore not expected to cause serious impacts on the future availability of energy resources. Because the significance of land withdrawals by the BLM will depend to some extent on the availability of other federal lands for mineral activities, an up-to-date estimate of the current and future status-of-access to western federal lands for mineral activities was prepared. Overall conclusions of the report are that (1) the inclusion of some BLM land in the National Wilderness Preservation System will not interfere with the nation's required supply of energy resources, (2) there is sufficient federal land currently available in the West for mineral activities, (3) the availability of western federal land for mineral activities will increase in the future, (4) the administration should continue to support the major land-review programs, and (5) the administration should accelerate the review process for WSAs in regions that have a high energy-resource potential.

Oakes, E.H.; Voelker, A.H.

1983-02-01T23:59:59.000Z

122

Supply/Demand Forecasts Begin to Show Stock Rebuilding  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: During 1999, we saw stock draws during the summer months, when we normally see stock builds, and very large stock draws during the winter of 1999/2000. Normally, crude oil production exceeds product demand in the spring and summer, and stocks build. These stocks are subsequently drawn down during the fourth and first quarters (dark blue areas). When the market is in balance, the stock builds equal the draws. During 2000, stocks have gradually built, but following the large stock draws of 1999, inventories needed to have been built more to get back to normal levels. As we look ahead using EIA's base case assumptions for OPEC production, non-OPEC production, and demand, we expect a more seasonal pattern for the next 3 quarters. But since we are beginning the year with

123

Rangeland Drought Management for Texans: Stocking Rate and Grazing Management  

E-Print Network [OSTI]

This publication explains how stocking rates and grazing management decisions can help a ranch survive a drought. To deal with drought, a rancher must monitor forage supply and demand; use a conservative stocking rate and keep it flexible...

Hart, Charles R.; Carpenter, Bruce B.

2001-05-03T23:59:59.000Z

124

Predicting stock returns and assessing prediction performance  

Science Journals Connector (OSTI)

......found that in the USA, 47% of investments were made by households with an average annual turnover of over 75% of stocks held...effects in data from the USA, the UK, France, Germany and Japan, and conclude that data snooping is not a major problem......

Rose Baker; Alexander Belgorodskiy

2007-10-01T23:59:59.000Z

125

Wild oil prices, but brave stock markets! The case of GCC stock markets  

Science Journals Connector (OSTI)

Using a vector autoregression (VAR) analysis, this paper investigates the effect of the sharp increase in oil prices on stock market returns for five Gulf ... to 24 May, 2005. During this period oil price has bee...

Bashar Abu Zarour

126

Market Maker Inventories and Stock Prices Terrence Hendershott  

E-Print Network [OSTI]

complement past returns when predicting return reversals. A portfolio long high-inventory/low-return stocks and short low-inventory/high-return stocks yields 1.05% over the following 5 days. Order imbalancesMarket Maker Inventories and Stock Prices Terrence Hendershott U.C. Berkeley Mark S. Seasholes U

Kearns, Michael

127

Assessment of the eel stock in Sweden, spring 2012  

E-Print Network [OSTI]

Assessment of the eel stock in Sweden, spring 2012 Aqua reports 2012:9 First post-evaluation of the Swedish Eel Management Plan Willem Dekker #12;Assessment of the eel stock in Sweden, spring 2012 First: Dekker, W. (2012). Assessment of the eel stock in Sweden, spring 2012. First post

128

Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009)  

Open Energy Info (EERE)

Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009) Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Thermal Gradient Holes Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes

129

Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land  

Open Energy Info (EERE)

Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Single-Well And Cross-Well Seismic Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary

130

Western Region Renewable Energy Markets: Implications for the Bureau of Land Management  

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

Western Region Renewable Western Region Renewable Energy Markets: Implications for the Bureau of Land Management Scott Haase, Lynn Billman, and Rachel Gelman Produced under direction of the Bureau of Land Management by the National Renewable Energy Laboratory (NREL) under Interagency Agreement L11PG00030 and Task No WFH7.1004. Technical Report NREL/TP-6A20-53540 January 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Western Region Renewable Energy Markets: Implications for the Bureau of Land Management

131

Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) |  

Open Energy Info (EERE)

Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Exploratory Well Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes Data from these wells is proprietary, and so were unavailable for inclusion

132

DOE - Office of Legacy Management -- U S Bureau of Mines - UT 01  

Office of Legacy Management (LM)

UT 01 UT 01 FUSRAP Considered Sites Site: U. S. BUREAU OF MINES (UT.01) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Salt Lake City , Utah UT.01-2 Evaluation Year: 1987 UT.01-1 Site Operations: Research and development on uranium recovery from ore in the late 1940s. UT.01-1 Site Disposition: Eliminated - Radiation levels below criteria UT.01-1 UT.01-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium UT.01-2 Radiological Survey(s): Yes UT.01-2 Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to U. S. BUREAU OF MINES UT.01-1 - DOE Letter; Fiore to Schiager; Subject: Elimination of Bureau of Mines and University of Utah Sites from FUSRAP Consideration;

133

Ground Gravity Survey At Salt Wells Area (Bureau of Land Management, 2009)  

Open Energy Info (EERE)

Salt Wells Area (Bureau of Land Management, 2009) Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Ground Gravity Survey Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes Data from these wells is proprietary, and so were unavailable for inclusion

134

Development Wells At Salt Wells Area (Nevada Bureau of Mines and Geology,  

Open Energy Info (EERE)

Salt Wells Area (Nevada Bureau of Mines and Geology, Salt Wells Area (Nevada Bureau of Mines and Geology, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Development Wells At Salt Wells Area (Nevada Bureau of Mines and Geology, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Development Drilling Activity Date 2005 - 2005 Usefulness useful DOE-funding Unknown Exploration Basis AMP Resources, LLC drilled one of the first operating wells, Industrial Production Well PW-2, in the spring of 2005 under geothermal project area permit #568. Notes The well was completed to a depth of 143.6 m and a peak temperature of 145°C, as indicated by static temperature surveys. Wellhead temperatures at PW-2 were 140°C at a flow rate of 157.7 liters per minute, and no

135

File:Federal Hydropower - Bureau of Indian Affairs.pdf | Open Energy  

Open Energy Info (EERE)

Federal Hydropower - Bureau of Indian Affairs.pdf Federal Hydropower - Bureau of Indian Affairs.pdf Jump to: navigation, search File File history File usage Metadata File:Federal Hydropower - Bureau of Indian Affairs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 685 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:25, 22 May 2013 Thumbnail for version as of 15:25, 22 May 2013 1,275 × 1,650, 2 pages (685 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information)

136

Barge Truck Total  

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

Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

137

Tebian Electric Apparatus Stock Co Ltd TBEA | Open Energy Information  

Open Energy Info (EERE)

Tebian Electric Apparatus Stock Co Ltd TBEA Tebian Electric Apparatus Stock Co Ltd TBEA Jump to: navigation, search Name Tebian Electric Apparatus Stock Co Ltd (TBEA) Place Changji, Xinjiang Autonomous Region, China Zip 831100 Sector Solar Product TBEA makes transformer products and aluminium foil, and also solar energy equipment. References Tebian Electric Apparatus Stock Co Ltd (TBEA)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Tebian Electric Apparatus Stock Co Ltd (TBEA) is a company located in Changji, Xinjiang Autonomous Region, China . References ↑ "Tebian Electric Apparatus Stock Co Ltd (TBEA)" Retrieved from "http://en.openei.org/w/index.php?title=Tebian_Electric_Apparatus_Stock_Co_Ltd_TBEA&oldid=352059

138

The effect of the Fukushima nuclear accident on stock prices of electric power utilities in Japan  

Science Journals Connector (OSTI)

The purpose of this study is to investigate the effect of the accident at the Fukushima Daiichi nuclear power station, which is owned by Tokyo Electric Power Co. (TEPCO), on the stock prices of the other electric power utilities in Japan. Because the other utilities were not directly damaged by the Fukushima nuclear accident, their stock price responses should reflect the change in investor perceptions on risk and return associated with nuclear power generation. Our first finding is that the stock prices of utilities that own nuclear power plants declined more sharply after the accident than did the stock prices of other electric power utilities. In contrast, investors did not seem to care about the risk that may arise from the use of the same type of nuclear power reactors as those at the Fukushima Daiichi station. We also observe an increase of both systematic and total risks in the post-Fukushima period, indicating that negative market reactions are not merely caused by one-time losses but by structural changes in society and regulation that could increase the costs of operating a nuclear power plant.

Shingo Kawashima; Fumiko Takeda

2012-01-01T23:59:59.000Z

139

NATIONAL ENERGY POLICY Taking Stock A  

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

Taking Stock Taking Stock A merica's current energy challeng- es can be met with rapidly im- proving technology, dedicated leadership, and a comprehensive approach to our energy needs. Our challenge is clear-we must use tech- nology to reduce demand for energy, re- pair and maintain our energy infrastruc- ture, and increase energy supply. Today, the United States remains the world's undisput- ed technological leader; but recent events have demonstrated that we have yet to inte- grate 21st-century technology into an ener- gy plan that is focused on wise energy use, production, efficiency, and conservation. Prices today for gasoline, heating oil, and natural gas are dramatically higher than they were only a year ago. In Califor- nia, homeowners, farmers, and businesses face soaring electricity prices, rolling

140

MANDATORY PRINTING CONTRACTS Division of Enterprise Operations, State Bureau of Procurement  

E-Print Network [OSTI]

@amerlitho.com W: American Litho Shari Beder T: (414) 342-5050 F: (414) 342-9950 Lot 3D Inks: 3 & up, Covers upMANDATORY PRINTING CONTRACTS Division of Enterprise Operations, State Bureau of Procurement Print or longer Envelopes (quantities 500-5,000), Printing Commercial & Catalog Envelopes Quantities: Commercial

Sheridan, Jennifer

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


141

Utah Department of Health Bureau of Health Facility Licensing, Certification and Resident Assessment  

E-Print Network [OSTI]

Utah Department of Health Bureau of Health Facility Licensing, Certification and Resident of Utah Rule R432-31 (http://health.utah.gov/hflcra/forms.php) This is a physician order sheet based be effectively managed at current setting. ___ Limited additional interventions: Includes care above. May also

Tipple, Brett

142

18 Bureau of Meteorology Annual Report 201314 Hazards, warnings and forecasts  

E-Print Network [OSTI]

and numerical prediction models. #12;19Bureau of Meteorology Annual Report 2013­14 2 Performance Performance programs: · Weather forecasting services; · Flood forecasting and warning services; · Hazard prediction, Warnings and Forecasts portfolio provides a range of forecast and warning services covering weather, ocean

Greenslade, Diana

143

Transfer Entropy Analysis of the Stock Market  

E-Print Network [OSTI]

In terms of transfer entropy, we investigated the strength and the direction of information transfer in the US stock market. Through the directionality of the information transfer, the more influential company between the correlated ones can be found and also the market leading companies are selected. Our entropy analysis shows that the companies related with energy industries such as oil, gas, and electricity influence the whole market.

Baek, S K; Kwon, O; Moon, H T; Baek, Seung Ki; Jung, Woo-Sung; Kwon, Okyu; Moon, Hie-Tae

2005-01-01T23:59:59.000Z

144

An Examination of the Effects of the Texas Farm Bureau Mobile Learning Barn Agricultural Education Program on Youth's Perceptions and Knowledge of Agriculture  

E-Print Network [OSTI]

Farm Bureau Mobile Learning Barn, strive to educate youth about the importance of agriculture. This study documented the agricultural perceptions and knowledge of youth who attended the Texas Farm Bureau Mobile Learning Barn agricultural education...

Howard, Joni Leigh

2013-12-03T23:59:59.000Z

145

Last-Minute Energy Saving Stocking Stuffers | Department of Energy  

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

Last-Minute Energy Saving Stocking Stuffers Last-Minute Energy Saving Stocking Stuffers Last-Minute Energy Saving Stocking Stuffers December 23, 2013 - 12:13pm Addthis There are all sorts of small energy-efficient presents available for stuffing stockings this year. | Photo courtesy of ©iStockphoto.com/DNY59 There are all sorts of small energy-efficient presents available for stuffing stockings this year. | Photo courtesy of ©iStockphoto.com/DNY59 Christina Stowers Communications Specialist in the Office of Weatherization and Intergovernmental Program How can I participate? Keep an eye out for these small, energy saving gifts as you do your last minute shopping this year. Looking for some last minute stocking stuffers to complement the holiday gifts you've purchased for your loved ones? We covered a few

146

Low Distillate Stocks Set Stage for Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

Along with the recent rise in crude oil prices, low stocks of Along with the recent rise in crude oil prices, low stocks of distillate fuels left markets in a vulnerable position. As we went into our two biggest distillate demand months, January and February, U.S. distillate stocks were very low -- particularly on the East and Gulf Coasts. The East Coast is the primary heating oil region, and it depends heavily on production from the Gulf Coast as well. Distillate stocks in the U.S. and Europe were in surplus supply as recently as October, but distillate stocks did not build as they usually do during the late fall, and declined more sharply than usual in December. December stocks closed well below the normal range. The unusual drawdown, in contrast to the more normal building pattern, resulted in distillate inventory levels about 3 million barrels lower than the very low

147

Distillate Stocks Are Important Part of Northeast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

1 of 15 1 of 15 Notes: Why do stocks matter in the Northeast? Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 5 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666 MB/D of stocks, covering almost 36% of demand for that month. PADD 1 refineries meet about 25% of demand during January and February, and other PADDs -- mostly PADD 3 -- supply 45-50% of the regionÂ’s needs. Imports generally supply about as much as stocks during the peak months, with most of the product coming from Canada, the Virgin Islands and Venezuela. Percentages do not tell the whole story. Stocks supply close to 300

148

Status of the eel stock in Sweden in 2011  

E-Print Network [OSTI]

Status of the eel stock in Sweden in 2011 Willem Dekker Håkan Wickström Jan Andersson Aqua reports of the eel stock in Sweden in 2011 By Willem Dekker, Håkan Wickström & Jan Andersson October 2011 SLU: Dekker, W., Wickström, H. & Andersson, J. (2011). Status of the eel stock in Sweden in 2011. Aqua reports

149

Automatic stock market trading based on Technical Analysis.  

E-Print Network [OSTI]

?? The theory of technical analysis suggests that future stock price developement can be foretold by analyzing historical price fluctuations and identifying repetitive patterns. A… (more)

Larsen, Fredrik

2007-01-01T23:59:59.000Z

150

Uncertainty of forest carbon stock changes – implications to the total uncertainty of GHG inventory of Finland  

Science Journals Connector (OSTI)

Uncertainty analysis facilitates identification of the most important categories affecting greenhouse gas (GHG) inventory uncertainty and helps in prioritisation of ... . This paper presents an uncertainty analys...

S. Monni; M. Peltoniemi; T. Palosuo; A. Lehtonen; R. Mäkipää…

2007-04-01T23:59:59.000Z

151

DOE - Office of Legacy Management -- U S Bureau of Mines Reno Station - NV  

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

Reno Station - Reno Station - NV 06 FUSRAP Considered Sites Site: U.S. BUREAU OF MINES RENO STATION (NV.06) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: U.S. BOM Metallurgy Research Center, Dept of the Interior NV.06-1 Location: 1605 Evans Avenue , Reno , Nevada NV.06-1 NV.06-2 Evaluation Year: 1987 NV.06-1 Site Operations: Research and development activities involving uranium. NV.06-2 Site Disposition: Eliminated - Potential for contamination remote NV.06-3 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium NV.06-2 Radiological Survey(s): None Indicated Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to U.S. BUREAU OF MINES RENO STATION NV.06-1 - Memorandum/Checklist; Wallo to the File; Subject: U.S.

152

DOI Bureau of Indian Affairs Mineral Development Grants to Help with Development of Tribal Energy  

Broader source: Energy.gov [DOE]

The U.S. Department of the Interior, through the Bureau of Indian Affairs, Office of Indian Energy and Economic Development (IEED) is offering grants to federally-recognized Tribes and tribal energy resource development organizations for projects that help the development of a tribal energy and mineral resource inventory, a tribal energy and mineral resource on Indian land, or for the development of a report necessary to the development of energy and mineral resources on Indian lands.

153

Department of Energy's Energy Savings Performance Contracts Stretch Budgets at the Bureau of Indian Affairs  

Broader source: Energy.gov [DOE]

The U.S. Department of the Interior's Bureau of Indian Affairs has found a good way to reduce energy costs, replace inefficient lighting and aging building equipment, and install renewable energy systems without huge increases in the BIA budget. The agency is doing all this by making use of the Department of Energy's (DOE's) Super Energy Savings Performance Contracts (Super ESPCs) at BIA schools and facilities throughout the country.

154

Recent Trends in Crude Oil Stock Levels  

Gasoline and Diesel Fuel Update (EIA)

J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J 0 280 300 320 340 360 380 400 420 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 Average Range: 1993-1995 Recent Trends in Crude Oil Stock Levels by Aileen A. Bohn Energy Information Administration (EIA) data for March 1996 primary inventories of crude oil were the lowest recorded in almost 20 years. Crude oil inventories, which were generally on a downward trend since the beginning of 1995, fell below the average range in July 1995 and have yet to recover (Figure FE1). On September 27, 1996, crude oil stocks registered 303 million barrels, compared to a normal range of nearly 311 to 332 million barrels for September. 1 Low crude oil inventories can cause price volatility in crude oil markets. 2 When inventories are low, refiners resort to

155

Oil, economic growth and strategic petroleum stocks  

Science Journals Connector (OSTI)

Abstract An examination of over 40 years of data reveals that oil price shocks are invariably followed by 2–3 years of weak economic growth and weak economic growth is almost always preceded by an oil price shock. This paper reviews why the price-inelastic demand and supply of oil cause oil price shocks and why oil price shocks reduce economic growth through dislocations of labor and capital. This paper also reviews the current state of oil-supply security noting that previous episodes of supply instability appear to have become chronic conditions. While new unconventional oil production technologies have revitalized North American oil production, there are significant barriers to a world-wide uptake of these technologies. Strategic petroleum stocks could provide a large measure of protection to the world economy during an oil supply disruption if they are used promptly and in sufficient volume to prevent large oil-price spikes. Despite the large volume of world-wide emergency reserves, their effectiveness in protecting world economies is not assured. Strategic oil stocks have not been used in sufficient quantity or soon enough to avoid the economic downturns that followed past oil supply outages. In addition, the growth of U.S. oil production has reduced the ability of the U.S. Strategic Petroleum Reserve to protect the economy following a future oil supply disruption. The policy implications of these findings are discussed.

Carmine Difiglio

2014-01-01T23:59:59.000Z

156

Bureau of Land Management: A Successful ESPC Across Six States (Fact Sheet), Federal Energy Management Program (FEMP)  

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

Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Bureau of Land Management: A Successful ESPC Across Six States The U.S. Department of the Interior (DOI) Bureau of Land Management (BLM) successfully implemented an energy savings performance contract (ESPC) with Johnson Controls, Inc. (JCI) to implement energy efficiency improve- ments at remote BLM sites. This $3.6 million project covered small BLM facili- ties across six western states (Colorado, Idaho, Montana, Nevada, Oregon, and Wyoming), which make up half of the states that the BLM covers. BLM has hundreds of buildings of various types and sizes, mostly located in smaller western towns. Most field offices

157

Bureau of Land Management: A Successful ESPC Across Six States (Fact Sheet), Federal Energy Management Program (FEMP)  

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

Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Bureau of Land Management: A Successful ESPC Across Six States The U.S. Department of the Interior (DOI) Bureau of Land Management (BLM) successfully implemented an energy savings performance contract (ESPC) with Johnson Controls, Inc. (JCI) to implement energy efficiency improve- ments at remote BLM sites. This $3.6 million project covered small BLM facili- ties across six western states (Colorado, Idaho, Montana, Nevada, Oregon, and Wyoming), which make up half of the states that the BLM covers. BLM has hundreds of buildings of various types and sizes, mostly located in smaller western towns. Most field offices

158

Table 2. U.S. Biodiesel Production, Sales, and Stocks  

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

U.S. Biodiesel Production, Sales, and Stocks U.S. Biodiesel Production, Sales, and Stocks (million gallons) Period 2011 January 35 22 9 17 4 February 40 27 13 17 1 March 60 41 17 19 2 April 71 47 22 21 2 May 77 50 27 23 2 June 81 62 24 19 (4)

159

Fish Stocks Rainer Froese, IFM-GEOMAR, Kiel, Germany  

E-Print Network [OSTI]

Fish Stocks Rainer Froese, IFM-GEOMAR, Kiel, Germany Daniel Pauly, University of British Columbia and consisting of four elements (species names, location, time, and source). Catches The fish (or other aquatic organisms) of a given stock killed during a certain period by the operation of fishing gear. This definition

Pauly, Daniel

160

Petrale Sole Stock Assessment Review (STAR) Panel Report  

E-Print Network [OSTI]

constituted a major uncertainty in the assessment (Figure 1), as did the appropriate natural mortality ratePetrale Sole Stock Assessment Review (STAR) Panel Report Hotel Deca, Seattle, Washington 20-24 June Leipzig PFMC Groundfish Advisory Subpanel (GAP) Stock Assessment Team (STAT) Melissa Haltuch NMFS

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


161

UCSF FOUNDATION DONATION OF SECURITIES: STOCKS AND MUTAL FUNDS  

E-Print Network [OSTI]

-over- UCSF FOUNDATION DONATION OF SECURITIES: STOCKS AND MUTAL FUNDS GIFT TO CURRENT ACCOUNT Thank you for your interest in making a gift of stocks or mutual fund shares to the UCSF Foundation. We Foundation of your donation. Broker Instructions -- Credit to: State Street Bank & Trust, DTC #997, UCSF

Yamamoto, Keith

162

UCSF FOUNDATION DONATION OF SECURITIES: STOCKS AND MUTAL FUNDS  

E-Print Network [OSTI]

-over- UCSF FOUNDATION DONATION OF SECURITIES: STOCKS AND MUTAL FUNDS GIFT TO ENDOWMENT ACCOUNT Thank you for your interest in making a gift of stocks or mutual funds shares to the UCSF Foundation. We to notify UCSF Foundation of your donation. · Broker Instructions -- Credit to: State Street Bank & Trust

Yamamoto, Keith

163

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

E-Print Network [OSTI]

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

Sadoulet, Elisabeth

164

Detecting Stock Market Manipulation using Supervised Learning Algorithms  

E-Print Network [OSTI]

suspicious transactions in relation to market manipulation in stock market. We use a case studyDetecting Stock Market Manipulation using Supervised Learning Algorithms Koosha Golmohammadi, Osmar,Chile ddiaz@unegocios.cl Abstract-- Market manipulation remains the biggest concern of investors in today

Zaiane, Osmar R.

165

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

Stocks are normally an important part of East Coast winter Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

166

Recovery May Require Holding Stocks Level in February and March  

Gasoline and Diesel Fuel Update (EIA)

have dropped back as new supplies are appearing, but we still have dropped back as new supplies are appearing, but we still have nearly a month of winter ahead of us. Stocks cannot drop much farther. February 4 stock levels were just above the lowest month-end levels ever seen for PADD 1, which occurred in April 1996. For stocks to recover to the low end of the normal range, they would have to stay level in February in March, when normally they would be used to meet demand. Keeping stocks level would require finding supply to substitute for the average stock drops of 290 thousand barrels per day (8 million barrels) in February and 210 thousand barrels per day (6 million barrels) in March. If all of that supply were to come from imports, we would have to see distillate imports into PADD 1 double from their average levels of 7

167

Value-Added Stock Loan Participation Program | Department of Energy  

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

Value-Added Stock Loan Participation Program Value-Added Stock Loan Participation Program Value-Added Stock Loan Participation Program < Back Eligibility Agricultural Savings Category Bioenergy Solar Buying & Making Electricity Wind Maximum Rebate RFA provides up to 45% of the loan up to $40,000 of loan principal Program Info Start Date 1994 State Minnesota Program Type State Loan Program Provider Minnesota Department of Agriculture The Value-Added Stock Loan Participation Program was created in 1994 and is designed to help farmers finance the purchase of stock in certain types of cooperative, limited liability company, or limited liability partnership that will produce a "value-added agricultural product." This may include wind energy and anaerobic-digestion cooperatives if they meet the

168

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Stocks are important in the Northeast because they are the nearest source of supply when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Stocks are normally an important part of East Coast winter distillate supply. Over the last 10 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666,000 barrels per day of stocks, covering almost 36% of demand for that month. On average, stocks supply the East Coast with about 260,000 barrels per day on average in January and 280,000 barrels per day in February. Those supplies represent draws of about 8 million barrels in one month.

169

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Why do stocks matter in the Northeast? They are the nearest source of supply when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 10 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666 MB/D of stocks, covering almost 36% of demand for that month. Stocks supply the East Coast with about 260 MB/D on average in January and 280 MB/D in February. Those supplies represent draws of about 8 million barrels in one month. PADD 1 refineries meet about 25% of demand during January and

170

Distillate Stocks Are Important Part of Northeast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

The weather alone was not enough to cause the price spike. The low The weather alone was not enough to cause the price spike. The low stocks left the area vulnerable to sudden changes in the market, such as the weather change. Why do stocks matter in the Northeast? Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 5 years, PADD 1 stocks provided about 15% of supply during the peak winter months of January and February. They are the closest source of supply to the consumer. PADD 1 depends on about 60% of its supply from distant sources such as the Gulf Coast or imports, which can take several weeks to travel to the Northeast. Even product from East Coast refineries, if capacity is available, may take a week before it is produced and delivered to the regions needing new supply. Thus, stocks must be able

171

Use of naphthenic base stocks in engine oil formulations  

SciTech Connect (OSTI)

The use of naphthenic base stocks in the formulation of engine oils has always been restricted due to certain physico-chemical properties (i.e. low oxidation stability, high volatility, great variation of the viscosity with the temperature) as well as the limited availability of this type of base oil in many parts of the world. This paper summarizes the experimental results followed in the development of a crankcase engine oil formulation SAE 40, API SF/CC with maximum usage of a naphthenic base stock MVIN-170 combined with HVI stocks and conventional additive technologies. The physico-chemical characterization of the MVIN-170 base stock, a conventional processed napthenic oil that Maraven (affiliate of PDVSA) commercializes from Isla Refinery of Curazao, is presented and compared with other napthenic oils coming from other crude sources of processes and with parafinic base stocks of equivalent viscosity.

Josefina, V.C.M.; Armando, I.R.

1988-01-01T23:59:59.000Z

172

On the stock control performance of intermittent demand estimators  

Science Journals Connector (OSTI)

The purpose of this paper is to assess the empirical stock control performance of intermittent demand estimation procedures. The forecasting methods considered are the simple moving average, single exponential smoothing, Croston's method and a new method recently developed by the authors of this paper. We first discuss the nature of the empirical demand data set (3000 stock keeping units) and we specify the stock control model to be used for experimentation purposes. Performance measures are then selected to report customer service level and stock volume differences. The out-of-sample empirical comparison results demonstrate the superior stock control performance of the new intermittent demand forecasting method and enable insights to be gained into the empirical utility of the other estimators.

Aris A. Syntetos; John E. Boylan

2006-01-01T23:59:59.000Z

173

Variations of Total Domination  

Science Journals Connector (OSTI)

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

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

174

,"U.S. Refinery, Bulk Terminal, and Natural Gas Plant Stocks...  

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

Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)","U.S. Gasoline Blending Components Stocks at Refineries, Bulk Terminals, and Natural Gas Plants...

175

Total Crude by Pipeline  

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

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

176

Modeling Metal Stocks and Flows: A Review of Dynamic Material Flow Analysis Methods  

Science Journals Connector (OSTI)

Remote sensing methods are used by Takahashi et al.,(86) who analyze in-use copper stocks using satellite nighttime light observation data. ... McMillan et al.(54) quantify the sensitivity of the lifetime distribution, recycling rate, and metallic recovery by using the Fourier Amplitude Sensitivity Test method, which provides a measure of input sensitivity defined as the fraction of total model variance. ... Yano, J.; Hirai, Y.; Okamoto, K.; Sakai, S.Dynamic flow analysis of current and future end-of-life vehicles generation and lead content in automobile shredder residue J. Mater. ...

Esther Müller; Lorenz M. Hilty; Rolf Widmer; Mathias Schluep; Martin Faulstich

2014-01-17T23:59:59.000Z

177

Total Space Heat-  

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

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

178

EQUUS Total Return Inc | Open Energy Information  

Open Energy Info (EERE)

EQUUS Total Return Inc EQUUS Total Return Inc Jump to: navigation, search Name EQUUS Total Return Inc Place Houston, Texas Product A business development company and VC investor that trades as a closed-end fund. EQUUS is managed by MCC Global NV, a Frankfurt stock exchange listed management and merchant banking group. Coordinates 29.76045°, -95.369784° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

179

Weblog Analysis for Predicting Correlations in Stock Price Evolutions Milad Kharratzadeh1  

E-Print Network [OSTI]

method which combines information from the weblog data and histor- ical stock prices. Through simulation strategies based on company sec- tors or historical stock prices. This suggests that the method- ology has evolution of stock prices and whether this is complementary to the information embedded in historical stock

Coates, Mark

180

Trading Puts and CDS on Stocks with Short Sale Ban Sophie Xiaoyan Ni and Jun Pan  

E-Print Network [OSTI]

not perform differently from the middle group. Within the sample of banned stocks with CDS traded and using in banned stocks and the trading of options and CDS. Within the sample of banned stocks with exchange traded options, stocks whose put-call ratios are in the top quintile underperform the middle group by 2.13% and 4

Gabrieli, John

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


181

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 MB/D in January and 280 MB/D in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak months,

182

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

183

PADD 1 (East Coast) Heating Oil Stocks Low  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The East Coast (PADD 1) is the primary heating oil region, and it depends heavily on production from the Gulf Coast (PADD 3) as well. The biggest decline in U.S. stocks has taken place in the heating oil markets of PADD 1 (East Coast), which consumed 86 percent of the nationÂ’s heating oil in 1998. It also is the region with the largest volume of heating oil stocks. PADD 1 was down over 8.4 million barrels on January 21 from the 5-year average stock level for end of January PADD 3, which supplies PADD 1, was down 4.6 million barrels from its 5-year January ending levels. During the week ending January 21, weather in New England was nearly 20% colder than normal for this time of year. This cold weather on top of low stocks was pushing prices up, with

184

Table 2. U.S. Biodiesel Production, Sales, and Stocks  

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

U.S. Biodiesel Production, Sales, and Stocks" U.S. Biodiesel Production, Sales, and Stocks" "(million gallons)" "Period","B100 Production",,"Sales of B100",,"Sales of B100 Included in Biodiesel Blends",,"Ending Stocks of B100",,"B100 Stock Change" 2011 "January",35.355469,,21.760435,,9.397668,,16.705962,,3.900173 "February",40.342355,,27.263997,,13.027514,,17.367083,,0.661121 "March",59.59017,,40.879532,,16.804541,,19.178192,,1.811109 "April",71.0517,,47.320311,,21.819273,,21.000047,,1.821855 "May",77.196652,,49.520679,,27.20637,,23.448551,,2.448504 "June",81.39104,,61.776718,,23.965853,,19.302451,,-4.1461 "July",91.679738,,65.997152,,22.388332,,22.956565,,3.654114

185

The More Important Price Indicator This Year is Low Stocks  

Gasoline and Diesel Fuel Update (EIA)

6 of 6 6 of 6 Notes: Crude prices this year at the beginning of the second quarter are likely to be higher -- not lower -- as a result of the current shortfall in crude oil production relative to demand on top of low stocks. OECD stocks of crude oil and products plunged steeply in 1999. By year end, they were below the low levels at end December 1996 -- OPEC's stated target. This does not take into consideration the growth in demand that these stocks must help supply. EIA expects OECD stocks to stay very low throughout the year 2000. The projection shows end March levels remain well below those seen at the end of the first quarter 1996. The build during the summer will not be adequate to make up for the draws, resulting in a net draw of over 300 thousand barrels in an already tight market.

186

Forecasting Volatility in Stock Market Using GARCH Models  

E-Print Network [OSTI]

Forecasting volatility has held the attention of academics and practitioners all over the world. The objective for this master's thesis is to predict the volatility in stock market by using generalized autoregressive ...

Yang, Xiaorong

2008-01-01T23:59:59.000Z

187

The impact of political risk for testing Taiwan's stock market  

Science Journals Connector (OSTI)

This paper examines the vital role of political risk in stock trading. In Taiwan, the Kuomintang (KMT) Government has always been stable, since 1949, but the Progressive Party (DPP) has replaced KMI, and made huge impacts. I adopt the weighted attribute-adjustment methodology to measure the political risk variables, construct a multifactor model to link the political risk induced by Taiwan's first governmental change in May 1999, and analyse its influence on Taiwan's stock market trading. The results show that the political risk induced by governmental change resulted in a crisis of illiquidity in Taiwan's stock market. After the governmental change, the worsening situation in the domestic economy and the populace's lack of faith in the government were the key factors resulting in a serious shrinkage in Taiwan's stock trading.

Lie-Huey Wang

2003-01-01T23:59:59.000Z

188

Stock, Energy and Currency Effects on the Asymmetric Wheat Market  

Science Journals Connector (OSTI)

The purpose of this paper is to explore the effects of financial and currency indicators on wheat futures prices. The results suggest that the stock market, and particularly the S&P 500, positively influence the ...

Nikolaos Sariannidis

2011-05-01T23:59:59.000Z

189

Revised Propane Stock Levels for 6/7/13  

Gasoline and Diesel Fuel Update (EIA)

Revised Propane Stock Levels for 6713 Release Date: June 19, 2013 Following the release of the Weekly Petroleum Status Report (WPSR) for the week ended June 7, 2013, EIA...

190

Advisory on the reporting error in the combined propane stocks...  

Gasoline and Diesel Fuel Update (EIA)

Advisory on the reporting error in the combined propane stocks for PADDs 4 and 5 Release Date: June 12, 2013 The U.S. Energy Information Administration issued the following...

191

NONLINEARITY AND MARKET EFFICIENCY IN GCC STOCK MARKETS  

E-Print Network [OSTI]

): Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates (UAE), using three robust and highly regarded nonlinearity tests. In addition, the Efficient Market Hypothesis (EMH) was tested in this dissertation for the GCC stock markets using...

Alharbi, Abdullah M. H.

2009-07-31T23:59:59.000Z

192

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

193

Dr. Paul Merges Director, Bureau of Radiation New York State Department of Environmental  

Office of Legacy Management (LM)

551 551 - g 7 s % @ { i::- g i- ' \?*r&.,' *~ -,_ .- ..- Dr. Paul Merges Director, Bureau of Radiation New York State Department of Environmental Conservation 50 Wolfe Road Albany, NY 12233-7255 Dear Dr. Merges: ..- .- I.- _- .- Department of Energy Osk Ridge Opermlonm P.O. 80x 2001 Oak Ridge. Tmnessee 37831- 8723 September 24. 1990 DESIGNATION OF THE FORNER RAKER AND YILLIANS WAREHOUSES INTO DOE'S FORRERLY UTILIZED SITES REMEDIAL ACTION PROGRAM The purpose of this letter is to inform you that on August 9, 1990, the site of the former Baker and Williams warehouses, currently owned by Ralph Ferrara. Inc., located on West 20th Street in New York City, was designated into the Department of Energy's (DOE) Formerly Utilized Sites Remedial Action Program

194

DOE - Office of Legacy Management -- U S Bureau of Mines - PA 36  

Office of Legacy Management (LM)

PA 36 PA 36 FUSRAP Considered Sites Site: U. S. BUREAU OF MINES (PA.36) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Bruceton , Pennsylvania PA.36-1 Evaluation Year: 1987 PA.36-2 Site Operations: Conducted studied on explosiveness of Uranium, Thorium and Beryllium. PA.36-1 PA.36-3 Site Disposition: Eliminated - Small amounts of radioactive materials used - Potential for residual radioactive contamination considered remote PA.36-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium and Thorium PA.36-2 Radiological Survey(s): Yes - health and safety monitoring during operations only PA.36-1 Site Status: Eliminated from further consideration under FUSRAP

195

The National Bureau of Standards Rocky Flats Soil standard reference material  

Science Journals Connector (OSTI)

The National Bureau of Standards (NBS) in collaboration with a number of environmental laboratories of the ICRM has recently issued a soil standard certified for radionuclidic concentrations of activation and fission products and natural radionuclides. Initial disagreements between laboratories of measured concentrations have led to a careful examination of the characteristics of the sample and the radiochemical procedures employed by the participants. A number of assay problems were identified and are discussed. The sample was found to contain an average of approximately 1.8 “hot” (239+240Pu) particles per bottle of 90 g of soil. A statistical analysis of over seventy measurements was used to determine that the homogeneity of the material excluding hot particles is satisfactory. A sampling method for using this material for quality control of plutonium measurements which minimizes the effect of hot particles is described.

K.G.W. Inn; W.S. Liggett; J.M.R. Hutchinson

1984-01-01T23:59:59.000Z

196

21 briefing pages total  

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

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

197

Stock option fraud detection and an analysis for its reasons: Arabic Republic of Egypt case  

Science Journals Connector (OSTI)

This paper investigates how stock option turned from an incentive for good management to a tool of management fraud. The objective of this paper is accomplished through studying the stock option phenomenon in the Arab Republic of Egypt (ARE). Stock option grants data are obtained from all firms that have stock option grants and listed in the Egyptian stock market. The empirical study covers the period from 2006 through 2009. Detecting stock option fraud and distinguishing between control and fraud firms was done through calculating the cumulative abnormal returns before and after stock option grants. Results of this research reveal that the incidence of stock option fraud is higher in unscheduled option grants compared to scheduled ones. These results strongly support that the reason of stock option fraud in ARE is dating games rather than news announcements manipulation.

Zakia M. Alaa Eldeen; Ahmed F. Elbayoumi

2013-01-01T23:59:59.000Z

198

"ENDING STOCKS OF CRUDE OIL (excluding SPR)"  

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

ENDING STOCKS OF CRUDE OIL (excluding SPR)" ENDING STOCKS OF CRUDE OIL (excluding SPR)" "Sourcekey","WCESTP11","WCESTP11","WCESTP21","WCESTP21","WCESTP31","WCESTP31","WCESTP41","WCESTP41","WCESTP51","WCESTP51","WCESTUS1","WCESTUS1" "Date","Weekly East Coast (PADD 1) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly East Coast (PADD 1) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Midwest (PADD 2) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Midwest (PADD 2) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Gulf Coast (PADD 3) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Gulf Coast (PADD 3) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Rocky Mountain (PADD 4) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Rocky Mountain (PADD 4) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly West Coast (PADD 5) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly West Coast (PADD 5) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly U.S. Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly U.S. Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)"

199

Barge Truck Total  

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

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

200

Summary Max Total Units  

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

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

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


201

Total Precipitable Water  

SciTech Connect (OSTI)

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

None

2012-01-01T23:59:59.000Z

202

Total Sustainability Humber College  

E-Print Network [OSTI]

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

Thompson, Michael

203

Stocking of Offsite Waters for Hungry Horse Dam Mitigation; Creston National Fish Hatchery, 2002-2003 Annual Report.  

SciTech Connect (OSTI)

Mitigation Objective 1: Produce Native Westslope Cutthroat Trout at Creston NFH--Task: Acquire eggs and rear up to 100,000 Westslope Cutthroat trout annually for offsite mitigation stocking. Accomplishments: A total of 141,000 westslope cutthroat eggs (M012 strain) was acquired from the State of Montana Washoe Park State Fish Hatchery in May 2002 for this objective. We also received an additional 22,000 westslope cutthroat eggs, MO12 strain naturalized, from feral fish at Rogers Lake, Flathead County, Montana. The fish were reared using approved fish culture techniques as defined in the U.S. Fish and Wildlife Service, Fish Hatchery Management guidelines. Survival from the swim up fry stage to stocking was 95.6%. We achieved a 0.80 feed conversion this year on a new diet, Skretting ''Nutra Plus''. Post release survival and angler success is monitored annually by Montana Fish Wildlife and Parks (MFWP) and the Confederated Salish and Kootenai Tribe (CSKT). Stocking numbers and locations vary yearly based on results of biological monitoring and adaptive management. Mitigation Objective 2: Produce Rainbow Trout at Creston NFH--Task: Acquire and rear up to 100,000 Rainbow trout annually for offsite mitigation in closed basin waters. Accomplishments: A total of 54,000 rainbow trout eggs (Arlee strain) was acquired from the Ennis National Fish Hatchery in December 2002 for this objective. The fish were reared using approved fish culture techniques as defined in the U.S. Fish and Wildlife Service, Fish Hatchery Management guidelines. Survival from the swim up fry stage to stocking was 99.9%. We achieved a 0.79 feed conversion this year on a new diet, Skretting ''Nutra Plus''. Arlee rainbow trout are being used for this objective because the stocking locations are terminal basin reservoirs and habitat conditions and returns to the creel are unsuitable for native cutthroat. Post release survival and angler success is monitored annually by the Confederated Salish and Kootenai Tribe (CSKT). Stocking numbers and locations vary yearly based on results of biological monitoring and adaptive management.

US Fish and Wildlife Service Staff, (US Fish and Wildlife Service, Creston National Fish Hatchery, Kalispell, MT)

2004-02-01T23:59:59.000Z

204

Testing and Diagnosing the Ability of the Bureau of Meteorology’s Numerical Weather Prediction Systems to Support Prediction of Solar Energy Production  

Science Journals Connector (OSTI)

The ability of the Australian Bureau of Meteorology’s numerical weather prediction (NWP) systems to predict solar exposure (or insolation) was tested, with the aim of predicting large-scale solar energy several days in advance. The bureau’s ...

Paul A. Gregory; Lawrie J. Rikus; Jeffrey D. Kepert

2012-09-01T23:59:59.000Z

205

Introduction The U.S. Bureau of Reclamation (Reclamation) and the New Mexico Water Resources Research Institute  

E-Print Network [OSTI]

7 Introduction The U.S. Bureau of Reclamation (Reclamation) and the New Mexico Water Resources concerning inland, small-scale, low-cost rural brackish desalination water projects using renewable energy such as solar, wind, geothermal, and waste heat sources. The conference brought together about 150 participants

Johnson, Eric E.

206

BBB Advice on Finding Help for the Hunt According to the most recent data from the Bureau of Labor Statistics,  

E-Print Network [OSTI]

BBB Advice on Finding Help for the Hunt According to the most recent data from the Bureau of Labor://www.jobbankinfo.org/ Temporary Services place employees at companies which are looking for temporary help. Job seekers do not pay looking for a more permanent job. Executive or Career Counseling Services help job hunters evaluate

Arnold, Jonathan

207

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology  

E-Print Network [OSTI]

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau-Russian blocking 2010, predicted out to 10d) 1st-10th Aug 2010 #12;Extreme heat definition Lack of common metrics forecasts SEDI for DJF, all forecasts SEDI for JJA, all forecasts #12;The Centre for Australian Weather

Marshall, Andrew

208

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology  

E-Print Network [OSTI]

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau Ensemble Initialisation Scheme (breeding) Lack of common metrics We use weekly-mean rainfall* / max experimental forecasts (poama.bom.gov.au) #12;The Centre for Australian Weather and Climate Research

Marshall, Andrew

209

Distillate Stocks are Low - Especially on the East Coast  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Distillate stocks are normally built during the summer for use during the winter as shown by the normal band. Currently, stocks are very low for this time of year. This graph shows East Coast inventories, which at the end of August, were well below the normal band (over 9 million barrels or 19% below the low end of the band). The East Coast is about 31% lower than its 10-year average level for this time of year. We focus on the East Coast (PADD 1 ) because this a region in which heating oil is a major winter fuel. Furthermore, the East Coast consumes almost 2/3 of the nation's heating oil (high sulfur distillate). December 1999 was the turning point. Stocks were well within the normal range through November 1999, but in December, they dropped below the

210

Has Oil Price Predicted Stock Returns for Over a Century?  

Science Journals Connector (OSTI)

Abstract This paper contributes to the debate on the role of oil prices in predicting stock returns. The novelty of the paper is that it considers monthly time-series historical data that span over 150 years (1859:10-2013:12) and applies a predictive regression model that accommodates three salient features of the data, namely, a persistent and endogenous oil price, and model heteroskedasticity. Three key findings are unraveled: First, oil price predicts US stock returns. Second, in-sample evidence is corroborated by out-sample evidence of predictability. Third, both positive and negative oil price changes are important predictors of US stock returns, with negative changes relatively more important. Our results are robust to the use of different estimators and choice of in-sample periods.

Paresh Kumar Narayan; Rangan Gupta

2014-01-01T23:59:59.000Z

211

Total isomerization gains flexibility  

SciTech Connect (OSTI)

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

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

1983-05-01T23:59:59.000Z

212

Big meter data analysis of the energy efficiency potential in Stockholm's building stock  

Science Journals Connector (OSTI)

Abstract The City of Stockholm is making substantial efforts towards meeting its climate change commitments including a GHG emission target of 3 tonnes per capita by 2020 and making its new eco-district Stockholm Royal Seaport a candidate of Clinton Climate Initiative's Climate Positive Program. Towards achieving these policies, this study evaluated the energy efficiency potential in the city, in collaboration with the district heating and electricity utility Fortum. Drawing on their vast billing meter data on the housing stock in Stockholm, a new understanding of energy use in the city emerged. Analysis of the energy efficiency potential of different building vintages revealed that the retrofitting potential of the building stock to current building codes would reduce heating energy use by one third. In terms of market segmentation, the greatest reduction potential in total energy was found to be for buildings constructed between 1946 and 1975. This is due to the large number of buildings constructed during that era and their poor energy performance. However, the least energy-efficient buildings were those built between 1926 and 1945 in contradiction to commonly held beliefs. These findings indicate the need for a shift in public policy towards the buildings with highest retrofitting potential.

Hossein Shahrokni; Fabian Levihn; Nils Brandt

2014-01-01T23:59:59.000Z

213

E-Print Network 3.0 - analogous fish stocks Sample Search Results  

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

fish stocks Search Powered by Explorit Topic List Advanced Search Sample search results for: analogous fish stocks Page: << < 1 2 3 4 5 > >> 1 2008 Status of U.S. Fisheries...

214

Variation of mitochondrial control region sequences of Steller sea lions: the three-stock hypothesis  

E-Print Network [OSTI]

into regions and stocks to examine structure at different spatial scales. F- and ?-statistics were computed for all pairwise comparisons of rookeries, regions and stocks. Significant (PAlaska to California...

Baker, Alyson Renee

2004-09-30T23:59:59.000Z

215

Clustering of Japanese stock returns by recursive modularity optimization for efficient portfolio diversification  

Science Journals Connector (OSTI)

......Toyota. Some major automobile parts suppliers that...relations with specific automobile companies mentioned...comprises stocks of Electric Appliances: Canon...Chemical (Ch) and Electric Appliances (EA) stocks...components suppliers for automobile companies and other......

Takashi Isogai

2014-07-01T23:59:59.000Z

216

Total Sales of Kerosene  

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

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

217

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

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

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

218

SWAMP Project Trip report Quantification of Carbon Stocks and Emissions  

E-Print Network [OSTI]

1 SWAMP Project Trip report Quantification of Carbon Stocks and Emissions from the Mangrove Forests University Corvallis, Oregon, USA. #12;2 1. Introduction Funding for this project came from a grant, Washington DC. This intensive study is part of the Sustainable Wetlands Adaptation and Mitigation Program

Tullos, Desiree

219

ALASKAN WOOD FROGS STOCK UP ON SOLUTES TO SURVIVE  

E-Print Network [OSTI]

Inside JEB i ALASKAN WOOD FROGS STOCK UP ON SOLUTES TO SURVIVE Outwardly, the tiny wood frog, Rana these wood frogs, which are native to Alaska, Canada and the northern USA, to unravel their secrets. Costanzo tolerance in a northern population of the wood frog. J. Exp. Biol. 216, 3461-3473. Nicola Stead THE GENETICS

Besansky, Nora J.

220

Terrorism, country attributes, and the volatility of stock returns  

Science Journals Connector (OSTI)

Abstract This study investigates the interplay between terrorism and finance, focusing on the stock return volatility of American firms targeted by terrorist attacks. We find terrorism risk is an important factor in explaining the volatility of stock returns, which should be taken into account when modelling volatility. Using a volatility event-study approach and a new bootstrapping technique, we find volatility increases on the day of the attack and remain significant for at least fifteen days following the day of the attack. Cross-sectional analysis of the abnormal volatility indicates that the impact of terrorist attacks differs according to the country characteristics in which the incident occurred. We find that firms operating in wealthier, or more democratic countries, face greater volatility in stock returns relative to firms operating in developing countries. Firm exposure varies with the nature of country location, with country wealth and level of democracy playing an important role in explaining the likelihood of a terrorist attack. Our results show that despite significant terrorist events this past decade, stock markets in developed countries have not taken terrorist risk into sufficient consideration.

Naceur Essaddam; John M. Karagianis

2014-01-01T23:59:59.000Z

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


221

LACTATION VS. IMPROVED GROWTH IN STOCK ALBINO RATS  

Science Journals Connector (OSTI)

...MIui UNVnERSITY OF ILLINOIS DINOSAUR TENDONS WHn1n...attributable to lack of milk production by the mothers. It is...stock diet. Cod-liver oil given in addition to...attention to possible cumulative deficiencies in such...carry on for three months field exploration, shore collecting...

Arthur H. Smith; William E. Anderson

1929-07-26T23:59:59.000Z

222

Mining The Stock Market: Which Measure Is Best ? [Extended Abstract  

E-Print Network [OSTI]

in history), production capacities, population statistics, and sales amounts. Since the data sets occurring the price of the stock at the beginning of an operational day. Every time series is assigned to one out of 102 clusters (e.g. ``Computers (Hardware)'', ``Oil and Gas'', etc). Assuming this classification

223

I. Introduction The Stock Assessment Improvement Plan (SAIP) is the  

E-Print Network [OSTI]

of fish- eries management systems. The resulting review (Appen- dix 7) contained ten recommendations are addressed in detail in Section II, along with other factors that define NMFS' stock assess- ment mandate. Section III provides background informa- tion on requirements for conducting assessments

224

iSTOCK PHOTO Oklahoma State University's innovation  

E-Print Network [OSTI]

AND INDIVIDUALS TO OFFER INNOVATIVE WAYS TO REDUCE THE COST OF ENERGY. FOR MORE INFORMATION, VISIT IGSHPAiSTOCK PHOTO FALL 2013 52 Oklahoma State University's innovation in geothermal production technology is a green option that provides long-term cost savings and production efficiency. The ground

225

A discussion of stock market speculation by Pierre-Joseph Proudhon  

E-Print Network [OSTI]

thought that the publication of a compilation of stock market transactions2 did not merit his signatureA discussion of stock market speculation by Pierre-Joseph Proudhon Nice #12;2 A discussion of stock market speculation by Pierre-Joseph Proudhon Abstract The object

Boyer, Edmond

226

On the relationship between world oil prices and GCC stock markets  

E-Print Network [OSTI]

On the relationship between world oil prices and GCC stock markets Mohamed El Hedi Arouri Associate ABSTRACT We provide comprehensive evidence on the relationship between oil prices and stock mar- kets to be more sensitive to negative than to positive oil shocks. Keywords: oil prices, stock markets, GCC

Paris-Sud XI, Université de

227

Market impact and trading protocols of hidden orders in stock markets Esteban Moro,1, 2  

E-Print Network [OSTI]

Market impact and trading protocols of hidden orders in stock markets Esteban Moro,1, 2 Javier study the market impact of trading orders. We are specifically interested in large trading orders market member codes using data from the Spanish Stock Market and the London Stock Exchange. We find

228

Western Region Renewable Energy Markets: Implications for the Bureau of Land Management  

SciTech Connect (OSTI)

The purpose of this analysis is to provide the U.S. Department of the Interior (DOI) and the Bureau of Land Management (BLM) with an overview of renewable energy (RE) generation markets, transmission planning efforts, and the ongoing role of the BLM RE projects in the electricity markets of the 11 states (Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming) that comprise the Western Electricity Coordinating Council (WECC) Region. This analysis focuses on the status of, and projections for, likely development of non-hydroelectric renewable electricity from solar (including photovoltaic [PV] and concentrating solar power [CSP]), wind, biomass and geothermal resources in these states. Absent new policy drivers and without the extension of the DOE loan guarantee program and Treasury's 1603 program, state RPS requirements are likely to remain a primary driver for new RE deployment in the western United States. Assuming no additional policy incentives are implemented, projected RE demand for the WECC states by 2020 is 134,000 GWh. Installed capacity to meet that demand will need to be within the range of 28,000-46,000 MW.

Haase, S.; Billman, L.; Gelman, R.

2012-01-01T23:59:59.000Z

229

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

Gasoline and Diesel Fuel Update (EIA)

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

230

Cotton Breeding of the Bureau of Plant Industry U.S. Department of Agriculture and the Texas Experiment Station.  

E-Print Network [OSTI]

own farm, secure an early g( .plc cotton that will more successfully cscape the boll weevils. For thc use of growers, a brief account without detail of the t ars' breeding work is made herewith. In order to present clearly these rcsul ults of t xr... -- - - BUREAU OF PLANT IN ENT Sr ( . DEPA AGRICULTURE AND THE TEXAS EXPERIMENT STATION r ATIONS POST OFF COLLEGE STATION, BRAZ OCTOBER. 1". ICE 0s cou NTY, TEXAS TEXAS AGRICU FFICER! M. SANSOM, President. ................................. Alvarado...

Bennett, R. L. (Robert Love)

1905-01-01T23:59:59.000Z

231

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

232

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

SciTech Connect (OSTI)

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

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

233

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

234

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

235

Hubei Shenzhou New Energy Power Generation Stock Co Ltd | Open Energy  

Open Energy Info (EERE)

Hubei Shenzhou New Energy Power Generation Stock Co Ltd Hubei Shenzhou New Energy Power Generation Stock Co Ltd Jump to: navigation, search Name Hubei Shenzhou New Energy Power Generation Stock Co Ltd Place Hubei Province, China Sector Biomass Product Hubei-based biomass power project developer. References Hubei Shenzhou New Energy Power Generation Stock Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Hubei Shenzhou New Energy Power Generation Stock Co Ltd is a company located in Hubei Province, China . References ↑ "Hubei Shenzhou New Energy Power Generation Stock Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Hubei_Shenzhou_New_Energy_Power_Generation_Stock_Co_Ltd&oldid=346655

236

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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

237

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

Science Journals Connector (OSTI)

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

2000-01-02T23:59:59.000Z

238

Shandong Jinjing Science Technology Stock Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Shandong Jinjing Science Technology Stock Co Ltd Shandong Jinjing Science Technology Stock Co Ltd Jump to: navigation, search Name Shandong Jinjing Science & Technology Stock Co Ltd Place Zibo, Shandong Province, China Zip 255200 Sector Solar Product Zibo-based glass producer. The firm makes low-iron super white glass for use in solar modules. Coordinates 36.799999°, 118.050003° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.799999,"lon":118.050003,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

239

A Model of the Oil Prices' Return Rate Threshold for the Two Stock Market Returns: An Evidence Study of the U.S. and Canada's Stock Markets  

Science Journals Connector (OSTI)

The empirical results show that the dynamic conditional correlation (DCC) and the bivariate asymmetric-IGARCH (1, 1) model is appropriate in evaluating the relationship of the U.S. and the Canada’s stock markets. The empirical result also indicates ... Keywords: Stock market returns, oil price, asymmetric effect, GJR-GARCH model, bivariate asymmetric-GARCH model

Wann-Jyi Horng; Ju-Lan Tsai; Yung-Chin Chiu

2009-11-01T23:59:59.000Z

240

"1. Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079  

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

Washington" Washington" "1. Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079 "2. Chief Joseph","Hydroelectric","USCE-North Pacific Division",2456 "3. Transalta Centralia Generation","Coal","TransAlta Centralia Gen LLC",1596 "4. Rocky Reach","Hydroelectric","PUD No 1 of Chelan County",1254 "5. Columbia Generating Station","Nuclear","Energy Northwest",1097 "6. Wanapum","Hydroelectric","PUD No 2 of Grant County",1059 "7. Boundary","Hydroelectric","Seattle City of",1040 "8. Priest Rapids","Hydroelectric","PUD No 2 of Grant County",932

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


241

Payment Of the New Mexico Environment Department- Hazardous Waste Bureau Annual Business and Generation Fees Calendar Year 2011  

SciTech Connect (OSTI)

The purpose of this letter is to transmit to the New Mexico Environment Department-Hazardous Waste Bureau (NMED-HWB), the Los alamos National Laboratory (LANL) Annual Business and Generation Fees for calendar year 2011. These fees are required pursuant to the provisions of New Mexico Hazardous Waste Act, Chapter 74, Article 4, NMSA (as amended). The Laboratory's Fenton Hill Facility did not generate any hazardous waste during the entire year, and is not required to pay a fee for calendar year 2011. The enclosed fee represents the amount for a single facility owned by the Department of Energy and co-operated by the Los Alamos National Security, LLC (LANS).

Juarez, Catherine L. [Los Alamos National Laboratory

2012-08-31T23:59:59.000Z

242

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network [OSTI]

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

Autonoma de Madrid, Universidad

243

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

Science Journals Connector (OSTI)

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

2000-01-02T23:59:59.000Z

244

Longevity of Imidacloprid Soil Drench on Citrus Nursery Stock for Sale at Retail Stores in Florida  

E-Print Network [OSTI]

Nursery Stock for Sale at Retail Stores in Florida Halbert,of contamination is the retail venues themselves. If this ispsyllid infestation in retail stores. Florida has a

Halbert, Susan E.; Manjunath, Keremane L.; Ramadugu, Chandrika; Lee, Richard F.

2014-01-01T23:59:59.000Z

245

E-Print Network 3.0 - anadromous fish stocks Sample Search Results  

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

Powered by Explorit Topic List Advanced Search Sample search results for: anadromous fish stocks Page: << < 1 2 3 4 5 > >> 1 Environmental Biology of Fishes 64: 229242, 2002....

246

Agent-based modeling of commercial building stocks for energy policy and demand response analysis.  

E-Print Network [OSTI]

??Managing a sustainable built environment with a large number of buildings rests on the ability to assess and improve the performance of the building stock… (more)

Zhao, Fei

2012-01-01T23:59:59.000Z

247

Financial liberalisation and the capital structure of firms listed on the Johannesburg stock exchange.  

E-Print Network [OSTI]

??This thesis examines the impact of financial liberalisation on the capital structure of non-financial firms listed on the Johannesburg Stock Exchange (JSE). The research hypotheses… (more)

Chipeta, Chimwemwe

2012-01-01T23:59:59.000Z

248

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

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

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

249

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

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

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

250

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

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

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

251

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

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

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

252

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

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

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

253

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

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

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

254

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

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

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

255

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

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

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

256

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

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

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

257

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

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

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

258

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

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

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

259

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

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

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

260

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

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

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

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


261

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

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

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

262

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

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

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

263

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

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

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

264

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

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

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

265

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

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

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

266

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

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

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

267

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

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

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

268

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

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

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

269

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

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

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

270

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

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

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

271

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

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

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

272

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

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

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

273

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

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

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

274

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

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

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

275

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

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

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

276

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

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

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

277

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

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

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

278

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

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

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

279

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

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

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

280

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

Gasoline and Diesel Fuel Update (EIA)

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

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


281

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

Gasoline and Diesel Fuel Update (EIA)

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

282

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

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

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

283

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

Gasoline and Diesel Fuel Update (EIA)

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

284

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

Gasoline and Diesel Fuel Update (EIA)

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

285

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

Gasoline and Diesel Fuel Update (EIA)

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

286

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

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

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

287

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

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

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

288

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

Gasoline and Diesel Fuel Update (EIA)

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

289

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

Gasoline and Diesel Fuel Update (EIA)

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

290

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

Gasoline and Diesel Fuel Update (EIA)

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

291

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

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

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

292

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

Gasoline and Diesel Fuel Update (EIA)

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

293

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

Gasoline and Diesel Fuel Update (EIA)

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

294

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

Gasoline and Diesel Fuel Update (EIA)

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

295

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

296

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

297

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

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

298

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

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

299

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

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

300

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

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

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


301

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

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

302

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

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

303

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

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

304

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

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

305

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

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

306

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

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

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

307

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

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

308

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

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

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

309

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

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

310

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

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

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

311

New Mexico's energy resources '81. Annual report of Bureau of Geology in the Mining and Minerals Division of New Mexico Energy and Minerals Department  

SciTech Connect (OSTI)

Although production of U/sub 3/O/sub 8/ declined only slightly in 1980, New Mexico's share of domestic production has declined from 48% in 1976 to 35% in 1980. Production projections indicate a continued decline in 1981 and lower production until at least 1984. New Mexico has 41% of total domestic reserves producible in the $50-per-lb cost category. In keeping with the anticipated steady depletion of reserves, production of crude oil in New Mexico was 69.9 million bls, a 6.3% decline in production from 1979. Condensate production of 5.4 million bbls in 1980, however, represented an increase of 7% from 1979 production. Although natural gas production was the lowest since 1970 and declined by 2.6% from 1979 production, 1980 was the 15th year that production exceeded 1 trillion cu ft. Despite declines in production, the valuation of oil and gas production has increased significantly with oil sales doubling from the previous year and gas sales increasing by $409 million because of higher prices. Reserves have been estimated to be 959 million bbls of crude oil and 17.667 trillion cu ft of natural gas. Production of 19.5 million short tons of coal in 1980 represented a 33% increase over 1979 production and an increase of 157% since 1970. Coal resources in New Mexico are estimated to be 180.79 billion short tons, and production is projected to incease to 39.61 million tons in 1985 and 67.53 million tons in 1990. The most notable developments in geothermal energy have been in technical advances in drilling, testing, and applications, especially in the area of hot dry rock systems. The US Bureau of Land Management has issued 113 geothermal leases that remain active. Recent geothermal exploration activity has been detailed for 21 companies.

Arnold, E.C.; Hill, J.M. (comps.)

1981-09-03T23:59:59.000Z

312

Idle Operating Total Stream Day  

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

3 3 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 11 10 1 1,293,200 1,265,200 28,000 1,361,700 1,329,700 32,000 ............................................................................................................................................... PAD District I 1 1 0 182,200 182,200 0 190,200 190,200 0 ................................................................................................................................................................................................................................................................................................ Delaware......................................

313

total energy | OpenEI  

Open Energy Info (EERE)

total energy total energy Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

314

Crude Oil Stocks at Tank Farms & Pipelines  

Gasoline and Diesel Fuel Update (EIA)

Stocks at Tank Farms & Pipelines Stocks at Tank Farms & Pipelines (Thousand Barrels) Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 263,633 264,749 252,781 242,174 232,837 248,898 1981-2013 East Coast (PADD 1) 2,000 1,635 1,585 1,793 1,507 2,033 1981-2013 Midwest (PADD 2) 100,842 101,525 99,186 89,116 84,420 84,878 1981-2013 Cushing, OK 49,237 50,172 48,671 40,459 34,809 33,017 2004-2013 Gulf Coast (PADD 3) 121,316 121,816 113,846 112,745 112,059 122,497 1981-2013 Rocky Mountain (PADD 4) 12,813 12,512 12,003 12,181 12,858 12,956 1981-2013 West Coast (PADD 5) 26,662 27,261 26,161 26,339 21,993 26,534 1981-2013

315

Stocking of Offsite Waters for Hungry Horse Dam Mitigation Creston National Fish Hatchery, FY 2006 Annual Report.  

SciTech Connect (OSTI)

A total of 350,000, M012 strain, westslope cutthroat trout (WCT) eggs were received from Montana Fish Wildlife & Parks (MFWP), Washoe Park State Fish Hatchery in June of 2005 to accomplish this fishery management objective. These eggs were incubated, hatched and reared entirely inside the hatchery nursery building using a protected well water supply. Fish grew according to schedule and survival was excellent. The hatchery achieved a 0.78 feed fed to pounds gained conversion ratio for this group of WCT. Not all of the progenies from this fish lot were used for Hungry Horse Dam Fishery Mitigation Implementation. Some were used for other regional fishery management projects. Westslope cutthroat trout were reared using approved fish culture techniques as recommended in the USFWS Fish Hatchery Management Handbook and also utilizing a regimen adapted for hatchery specific site conditions. The fish health for these WCT was very good. Survival from first feeding fry stage to stocking was 79%. The hatchery had an annual fish health inspection performed by the USFWS Bozeman Fish Health Center in mid March of 2006. This inspection found all fish lots at Creston to be disease free. The Montana State Fish Health Board has placed the hatchery under a limited quarantine since May of 2005 due to an epizootic of Furunculosis. This classification has allowed the Creston NFH to stock disease free fish in locations approved by regional fish managers. The hatchery has been working with the State Fish Pathologist to remove the limited quarantine classification from the facility. Although fish health for all station fish lots remains disease free, MFWP has asserted it will not remove the limited quarantine until the new influent water treatment system, including the ultraviolet disinfection unit, is running full time, year round. The USFWS is working to secure the additional funding necessary to operate the treatment building year round. Distribution of the WCT took place from March through June. The stocking locations on the Flathead Reservation and State managed waters were identified by Confederated Salish and Kootenai Tribe (CSKT) and MFWP fishery biologists. Post release survival and angler success is monitored routinely by CSKT and MFWP fishery technicians. Stocking numbers and locations vary annually based on the results of biological monitoring, creel evaluations and adaptive management decisions. A total of 99,126 WCT were stocked during nine distribution trips in management approved waters (see Table 1). The average size of WCT at stocking was 3.91-inches. A total of 101,600, Arlee strain, rainbow trout (RBT) eggs were received from the Ennis National Fish Hatchery, Ennis, Montana, in December of 2005 and 35,000 Kamloops strain eggs were received from Murray Springs SFH, Eureka, Montana, in March of 2006 to accomplish this fishery management objective. The RBT were reared using approved fish culture techniques as recommended in the USFWS Fish Hatchery Management Handbook. There was no fish health related problems associated with this lot of fish. Survival from swim up fry stage to stocking was 93% for the Arlee's and 79% for the Kamloops. The hatchery achieved a 0.68 feed fed to pounds gained conversion ratio for the Arlee and 0.97 for the Kamloops RBT. The excellent feed conversion ratio can be attributed to refined feeding techniques and the use of an extruded high performance fry feed made with premium fish meal and marine fish oil. The Arlee strain of rainbow trout is requested for this fishery mitigation objective because the chosen stocking locations are terminal basin reservoirs or lakes, habitat conditions prevent natural spawning runs and returns to the creel are more favorable then for native westslope cutthroat trout. MFWP also requested a fall plant of Kamloops strain RBT and they will be evaluated for performance and future fall stockings in Echo Lake. Post release survival and angler success is monitored routinely by the Confederated Salish and Kootenai Tribe (CSKT) and Montana Fish Wildlife & Parks (MFWP) fishery techn

Hooley, Sharon

2009-03-20T23:59:59.000Z

316

Charles A. Stock Research Oceanographer, NOAA/Geophysical Fluid Dynamics Laboratory  

E-Print Network [OSTI]

Change Impacts on Living Marine Resources", 2012 Ocean Sciences Meeting, Salt Lake City 2012-13 MemberCharles A. Stock Research Oceanographer, NOAA/Geophysical Fluid Dynamics Laboratory Princeton-mail: Charles.Stock@noaa.gov Education 2005 Ph.D., Woods Hole Oceanographic Institution/MIT Joint Program Civil

317

Retail Short Selling and Stock Prices ERIC K. KELLEY and PAUL C. TETLOCK*  

E-Print Network [OSTI]

Retail Short Selling and Stock Prices ERIC K. KELLEY and PAUL C. TETLOCK* January 2014 ABSTRACT This study tests asset pricing theories that feature short selling using a large database of retail trading. We find that retail short selling negatively predicts firms' monthly stock returns and news tone

Haller, Gary L.

318

Stock Market Volatility Prediction: A Service-Oriented Multi-Kernel Learning Approach  

E-Print Network [OSTI]

historical price fluctuations with either trading volume or news. In this paper we present a service: historical prices, trading volumes and stock related news articles. Our experiments show that 1) multi have been developed using historical stock price data, such as k-nearest neighbor and neural network

Liu, Ling

319

Consumption asymmetry and the stock market: New evidence through a threshold adjustment model  

E-Print Network [OSTI]

Consumption asymmetry and the stock market: New evidence through a threshold adjustment model whether stock market wealth affects real consumption asymmetrically through a threshold adjustment model. The empirical findings for the US show that wealth produces an asymmetric effect on real consumption

Ahmad, Sajjad

320

Type II Transformation -Regeneration 2 Media -1 Liter Solution Substance []stock/MW Final Add ( )  

E-Print Network [OSTI]

Type II Transformation - Regeneration 2 Media - 1 Liter Solution Substance []stock/MW Final Add. bialaphos stock 10mg/ml 1mg/L 100ul/L Pour into 100x25mm Petri dishes in hood. 1L=30 plates. Dry plates lids

Raizada, Manish N.

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


321

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Lost Sales  

E-Print Network [OSTI]

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Lost Sales Yao Zhao Benjamin-stock policy and unsatisfied demand is lost. The paper derives formulas for IPA (Infinitesimal Perturbation nonparametric in the sense that no specific probability law need be postulated. It is further shown that all IPA

322

8. Discussion This thesis has quantified the ecosystem carbon stocks of the Nhambita  

E-Print Network [OSTI]

destructive to woody biomass: aboveground carbon stocks can only be330 maintained under high intensity fires200 8. Discussion This thesis has quantified the ecosystem carbon stocks of the Nhambita area findings of this thesis and discuss some of the implications for 1) modelling the carbon cycle of miombo

323

Effects of grazing intensity on soil carbon stocks following deforestation of a Hawaiian dry tropical forest  

E-Print Network [OSTI]

Effects of grazing intensity on soil carbon stocks following deforestation of a Hawaiian dry carbon (SOC) along gradients of grazing intensity and elevation in pastures converted from dry tropical of forest-to-pasture conversion on soil carbon (C) stocks depend on a combination of climatic and management

Elmore, Andrew J.

324

Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Sector  

E-Print Network [OSTI]

area and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections. In addition to supporting the interactive exploration of building stock targeting very low future energy consumption in the building stock. Model use has highlighted the scale

325

The Conditional Relationship between Risk and Return in Iran's Stock Market  

E-Print Network [OSTI]

The Conditional Relationship between Risk and Return in Iran's Stock Market Mahdieh Rezagholizadeh an important role in Iran's economic growth. This paper examines the factors that affect stock returns in Iran by estimating the relationship between various sources of risk -- market risk, oil price risk

Lin, C.-Y. Cynthia

326

Managing the quality of a resource with stock and flow controls  

E-Print Network [OSTI]

stock. Thus, we try to prevent the deterioration of environmental quality and to keep our roads wellManaging the quality of a resource with stock and flow controls Nathaniel Keohane a, , Benjamin Van Roy b , Richard Zeckhauser c a Yale University, United States b Stanford University, United States c

Van Roy, Ben

327

Extreme Day Returns on Stocks: Evidence from Sweden* Adri De Ridder  

E-Print Network [OSTI]

Extreme Day Returns on Stocks: Evidence from Sweden* Adri De Ridder Gotland University Visby and Amalia Wallenberg foundation is gratefully acknowledged. #12;Extreme Day Returns on Stocks: Evidence from Sweden Abstract In this study we document that the frequency of extreme trading days, defined

Djehiche, Boualem

328

Above-and Belowground Carbon Stocks in a Miombo Woodland Landscape of Mozambique  

E-Print Network [OSTI]

cultivation) is likely to decouple changes in woody carbon stocks from soil carbon stocks, mediated by tree lost and degraded to meet agricultural and energy needs (Brouwer & Falca~o 2004). Rural land use, by burning and felling, to grow staple crops such as maize and sorghum for a number of years before

329

High-resolution forest carbon stocks and emissions in Gregory P. Asnera,1  

E-Print Network [OSTI]

High-resolution forest carbon stocks and emissions in the Amazon Gregory P. Asnera,1 , George V. N detection and ranging, and field plots, we mapped aboveground carbon stocks and emissions at 0.1-ha re emissions for REDD. We discovered previously unknown variation in carbon storage at multiple scales based

Saleska, Scott

330

Total Sky Imager (TSI) Handbook  

SciTech Connect (OSTI)

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

Morris, VR

2005-06-01T23:59:59.000Z

331

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning  

E-Print Network [OSTI]

a Very Low Energy Building Stock: Modeling the US Commercialof questions. The building stock modeling work outlined indetailed modeling of individual buildings). Beyond meeting

Coffey, Brian

2010-01-01T23:59:59.000Z

332

Paul J. Merges, PhD Director, Bureau of Radiation New York State Department of Environmental Conservation  

Office of Legacy Management (LM)

AU62 & 1993 AU62 & 1993 Paul J. Merges, PhD Director, Bureau of Radiation New York State Department of Environmental Conservation 50 Wolf Road Albany, New York 12233 1; Dear Dr. Merges: Your letter of August 13, 1993, requested information concerning the I Mt. Kisco, New York, site that was used for radium production by the former Canadian Radium and Uranium Company. This site was considered for the U.S. Department of Energy's Formerly Utilized Sites Remedial Action Program, and it was eliminated from consideration in 1987. As yourequested, copies of the pertinent documents are enclosed. I Dr. W. Alexander Williams (301-903-8149) is the appropriate contact for any necessary followup with your staff. t Sincerely, Enclosures Division of Off-Site Programs

333

Speakers: Glen Sweetnam, EIA Michelle Michot Foss, Chief Energy Economist and Head, Center for Energy Economics, Bureau of  

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

7: "Natural Gas: U.S. Markets in a Global Context" 7: "Natural Gas: U.S. Markets in a Global Context" Speakers: Glen Sweetnam, EIA Michelle Michot Foss, Chief Energy Economist and Head, Center for Energy Economics, Bureau of Economic Geology, Jackson School of Geosciences, University of Texas Benjamin Schlesinger, Benjamin Schlesinger and Associates, Inc. Andrew Slaughter, Shell [Note: Recorders did not pick up introduction of panel (see biographies for details on the panelists) or introduction of session.] Glenn: Let me welcome you to the Natural Gas Session. This is the only session in this conference that's devoted exclusively to natural gas [laughs]. I'm Glenn Sweetnam and I'm with the Energy Information Administration, and we're very fortunate this morning to have 3 very astute and long-time observers of the natural gas market to

334

On the shortterm influence of oil price changes on stock markets in GCC countries: linear and nonlinear analyses  

E-Print Network [OSTI]

1 On the shortterm influence of oil price changes on stock markets in GCC countries the short-run relationships between oil prices and GCC stock markets. Since GCC countries are major world energy market players, their stock markets may be susceptible to oil price shocks. To account

Paris-Sud XI, Université de

335

Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets in gcc  

E-Print Network [OSTI]

Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock to oil price shocks. To account for the fact that stock markets may respond nonlinearly to oil price

Paris-Sud XI, Université de

336

A SAURON STUDYOF STARS ANDGAS IN SABULGES J. FalconBarroso 1# , R. Bacon 2 , M. Bureau 3 , M. Cappellari 1 , R. L. Davies 3 ,  

E-Print Network [OSTI]

A SAURON STUDYOF STARS ANDGAS IN SABULGES J. Falcon­Barroso 1# , R. Bacon 2 , M. Bureau 3 , M. 1996, Falcon­Barroso et al. 2002). A comprehensive description of the stellar and gas kinematics of the complete sample of 24 Sa spiral bulges is presented in Falcon­Barroso et al. (2005). We highlight some

Bureau, Martin

337

Memorandum of Understanding Between the U.S. Department of Energy Loan Guarantee Program Office and U.S. Department of the Interior Bureau of Land Management (California)  

Broader source: Energy.gov [DOE]

Full Title: Memorandum of Understanding Between the U.S. Department of Energy Loan Guarantee Program Office and U.S. Department of the Interior Bureau of Land Management California State Office Concerning Cooperating Agency Status on National Environmental Policy Act Reviews for Renewable Energy Projects in California

338

Centennial Evolution of Aluminum In-Use Stocks on Our Aluminized Planet  

Science Journals Connector (OSTI)

(ii) What are the historical patterns of aluminum in-use stocks as societies evolve and how can these inform us about potential implications for future material demand, energy use, and GHG emissions? ... Figure 5 shows that aluminum in-use stocks start to take off at per-capita GDPs of 8000–10?000 dollars (PPP, 1990 international $), when a country has already industrialized. ... Figure 5. Per-capita aluminum stocks in use relative to per-capita GDP PPP for selected countries. ...

Gang Liu; Daniel B. Müller

2013-03-12T23:59:59.000Z

339

Sell the news? A news-driven model of the stock market  

E-Print Network [OSTI]

We attempt to explain stock market dynamics in terms of the interaction among three variables: market price, investor opinion and information flow. We propose a framework for such interaction upon which are based two models of stock market dynamics: the model for empirical study and its extended version for theoretical study. We demonstrate that these models replicate observed stock market behavior on all relevant timescales (from days to years) reasonably well. Using the models, we obtain and discuss a number of results that pose implications for current market theory and offer potential practical applications.

Gusev, Maxim; Govorkov, Boris; Sharov, Sergey V; Ushanov, Dmitry; Zhilyaev, Maxim

2014-01-01T23:59:59.000Z

340

Performance Period Total Fee Paid  

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

Period Period Total Fee Paid 4/29/2012 - 9/30/2012 $418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014 $0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016 $0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period: $116,769,139 November 2011 - September 2016 $475,395 $0 Fee Information Total Estimated Contract Cost $1,141,623 $1,140,948 $1,140,948 $5,039,862 $1,140,948 Maximum Fee $5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

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


341

Buildings","Total  

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

L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings*",54068,51570,45773,6746,34910,1161,3725,779 "Building Floorspace" "(Square Feet)" "1,001 to 5,000",6272,5718,4824,986,3767,50,22,54 "5,001 to 10,000",7299,6667,5728,1240,4341,61,169,45 "10,001 to 25,000",10829,10350,8544,1495,6442,154,553,"Q"

342

ARM - Measurement - Total cloud water  

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

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

343

Buildings","Total  

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

L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",61707,58693,49779,6496,37150,3058,5343,1913 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6750,5836,4878,757,3838,231,109,162 "5,001 to 10,000 ..............",7940,7166,5369,1044,4073,288,160,109 "10,001 to 25,000 .............",10534,9773,7783,1312,5712,358,633,232

344

Buildings","Total  

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

L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",64783,62060,51342,5556,37918,4004,4950,2403 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,6038,4826,678,3932,206,76,124 "5,001 to 10,000 ..............",6585,6090,4974,739,3829,192,238,248 "10,001 to 25,000 .............",11535,11229,8618,1197,6525,454,506,289

345

Artificial Neural Network Model for Forecasting the Stock Price of Indian IT Company  

Science Journals Connector (OSTI)

The central issue of the study is to model the movement of stock price for Indian Information Technology (IT) companies. It has been observed that IT industry has some promising role in Indian economy. We apply t...

Joydeep Sen; Arup K. Das

2014-01-01T23:59:59.000Z

346

A root cause analysis of stock-outs in the pharmaceutical industry  

E-Print Network [OSTI]

PharCo (an assumed name) is a leading global healthcare company with well-recognized brands of both pharmaceutical and consumer healthcare products. As PharCo continues to expand its global presence, product stock-outs in ...

Sun, Xuewen, M. Eng. Massachusetts Institute of Technology

2014-01-01T23:59:59.000Z

347

Conditional correlations in the returns on oil companies stock prices and their determinants  

Science Journals Connector (OSTI)

The identification of the forces that drive stock returns and the dynamics of their associated volatilities is a major concern in empirical economics and finance. This analysis is extremely important for determin...

Massimo Giovannini; Margherita Grasso; Alessandro Lanza; Matteo Manera

2006-09-01T23:59:59.000Z

348

Estimation of biomass and carbon stocks: the case of the Atlantic Forest  

E-Print Network [OSTI]

S.E. 2008. Estimation of biomass and carbon stocks: the casein Amazonian forest biomass. Global Change Biol. 10:545-562R. 2004b. Increasing biomass in Amazonian forest plots.

2008-01-01T23:59:59.000Z

349

Forecasting the Standard & Poor's 500 stock index futures price: interest rates, dividend yields, and cointegration  

E-Print Network [OSTI]

Daily Standard & Poor's 500 stock index cash and futures prices are studies in a cointegration framework using Johansen's maximum likelihood procedure. To account for the time varying relationship(basis) between the two markets, a theoretical...

Fritsch, Roger Erwin

1997-01-01T23:59:59.000Z

350

Quantifying stock-price response to demand fluctuations Vasiliki Plerou,1  

E-Print Network [OSTI]

Quantifying stock-price response to demand fluctuations Vasiliki Plerou,1 Parameswaran Gopikrishnan, Boston University, Boston, Massachusetts 02215 2 Department of Economics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142 Received 2 July 2001; revised manuscript received 13 May 2002

Stanley, H. Eugene

351

Disaster debris management and recovery of housing stock in San Francisco, CA  

E-Print Network [OSTI]

This thesis investigates the potential effects of a 7.2 magnitude earthquake in San Francisco City, particularly the implications on San Francisco's residential housing stock and impacts on the construction and demolition ...

Saiyed, Zahraa Nazim

2012-01-01T23:59:59.000Z

352

An Empirical Examination of Stock Market Reactions to Introduction of Co-branded Products  

E-Print Network [OSTI]

AN EMPIRICAL EXAMINATION OF STOCK MARKET REACTIONS TO INTRODUCTION OF CO-BRANDED PRODUCTS A Dissertation by ZIXIA CAO Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2012 Major: Marketing An Empirical Examination of Stock Market Reactions to Introduction of Co-branded Products Copyright 2012 Zixia Cao...

Cao, Zixia

2012-10-19T23:59:59.000Z

353

Stocking rate and weight gain with three forages utilized in sequence  

E-Print Network [OSTI]

) (Member) August 1977 ABSTRACT STOCKING RATE AND WEIGHT GAIN WITH THREE FORAGES UTILIZED IN SEQUENCE (August 1977) Andres Garcia, Ing. Zoot. Univ. Aut. de Chihuahua (Mexico) Chairman of Advisory Committee g T. CD Cartwright Twenty seven steers were...) (Member) August 1977 ABSTRACT STOCKING RATE AND WEIGHT GAIN WITH THREE FORAGES UTILIZED IN SEQUENCE (August 1977) Andres Garcia, Ing. Zoot. Univ. Aut. de Chihuahua (Mexico) Chairman of Advisory Committee g T. CD Cartwright Twenty seven steers were...

Garcia Jurado, Andres

2012-06-07T23:59:59.000Z

354

Does Turkish Stock Market React to Public Announcements of Major Capital Expenditures?  

Science Journals Connector (OSTI)

Research in quantitative management decision behavior using financial measures is a rapidly growing field. The issue whether and how managerial characteristics and decisions affect corporate behavior and stock performance has investigated in previous research in literature. Recently, many researchers have been pointing out some criticisms to the application of strategic investment decisions and their effect on firm's financial situation. These decisions may include restructuring, new process technology, organization change, technical projects, joint ventures, diversification. The purpose of this study is to investigate the stock market reaction to public announcements of corporate strategic investment decisions by observing companies listed in the Istanbul Stock Exchange (ISE) 30 Index. The stock market reaction to announcements of strategic investment decisions can be thought of as having two components: The first one is price reaction which reflects general factors influencing managerial strategic decisions and firm valuation; and the second one is price reactions to information that announced to the public through firm management. In the literature there are several hypotheses that try to explain stock market reaction to public announcements of corporate strategic investment decisions. One of the most widely known hypotheses is “The Shareholder Value Maximization” hypothesis which is also tested in this study. Shareholder value maximization is usually accepted as the appropriate goal in many business circles. In this study, based on Shareholder Value Maximization hypothesis we assume that there is a positive stock market reaction to corporate investments because the stock markets reward managers for developing strategies that increase shareholder wealth. The implications of a positive reaction by the stock market to investment announcements are vital for corporate strategy research, management practice and effectiveness and investment decisions

Ay?egül Özbebek; Seda Canikli; Yusuf Aytürk

2011-01-01T23:59:59.000Z

355

Broad-basing 'green' stock market indices: a concept note  

Science Journals Connector (OSTI)

Sustainability ('green') stock market indices are intended to focus attention on environmental credentials, to reward superior performance and to help channel investments. Such indices often incorporate clean energy, waste, water and waste water treatment, recycling and other 'pure play enviro' companies. This paper contends that in keeping with the philosophy of Green Economics, which advocates an expansive view of humankind's interaction with the environment, true environmental performance ('greenness') is indexed by the eco-sensitivity of mainstream businesses, by the level of stakeholder involvement and by the extent of information readily made available to society. Effective enforcement of environmental regulation requires contributions from all stakeholders concerned. With voluntary participation from businesses not readily forthcoming, and given the price-sensitivity of consumers, investors, through the incentive structures they face, could contribute to better enforcement of regulatory standards. Broad-basing the green index could be interpreted as recognising and rewarding the superior environmental performance of mainstream businesses and/or ensuring adequate representation in emerging markets, where a large number of 'pure play enviro' related instruments are unlikely to be listed.

Srinivasan Sunderasan

2008-01-01T23:59:59.000Z

356

Summary Report for Bureau of Fisheries Stream Habitat Surveys: Cowlitz River Basin, 1934-1942 Final Report.  

SciTech Connect (OSTI)

This document contains summary reports of stream habitat surveys, conducted in the Cowlitz River basin, by the Bureau of Fisheries (BOF, now National Marine Fisheries Service) from 1938-1942. These surveys were part of a larger project to survey streams in the Columbia River basin that provided, or had provided, spawning and rearing habitat for salmon and steelhead. The purpose of the survey was, as described by Rich, [open quotes]to determine the present condition of the various tributaries with respect to their availability and usefulness for the migration, breeding, and rearing of migratory fishes[close quotes]. Current estimates of the loss of anadromous fish habitat in the Columbia River Basin are based on a series of reports published from 1949-1952 by the U.S. Fish and Wildlife Service. The reports were brief, qualitative accounts of over 5000 miles of stream surveys conducted by the BOF from 1934-1946. Despite their brevity, these BOF reports have formed the basis for estimating fish habitat losses and conditions in the Columbia River Basin.

McIntosh, Bruce A.; Clark, Sharon E.; Sedell, James R.

1995-01-01T23:59:59.000Z

357

Total Adjusted Sales of Kerosene  

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

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

358

Solar total energy project Shenandoah  

SciTech Connect (OSTI)

This document presents the description of the final design for the Solar Total Energy System (STES) to be installed at the Shenandoah, Georgia, site for utilization by the Bleyle knitwear plant. The system is a fully cascaded total energy system design featuring high temperature paraboloidal dish solar collectors with a 235 concentration ratio, a steam Rankine cycle power conversion system capable of supplying 100 to 400 kW(e) output with an intermediate process steam take-off point, and a back pressure condenser for heating and cooling. The design also includes an integrated control system employing the supervisory control concept to allow maximum experimental flexibility. The system design criteria and requirements are presented including the performance criteria and operating requirements, environmental conditions of operation; interface requirements with the Bleyle plant and the Georgia Power Company lines; maintenance, reliability, and testing requirements; health and safety requirements; and other applicable ordinances and codes. The major subsystems of the STES are described including the Solar Collection Subysystem (SCS), the Power Conversion Subsystem (PCS), the Thermal Utilization Subsystem (TUS), the Control and Instrumentation Subsystem (CAIS), and the Electrical Subsystem (ES). Each of these sections include design criteria and operational requirements specific to the subsystem, including interface requirements with the other subsystems, maintenance and reliability requirements, and testing and acceptance criteria. (WHK)

None

1980-01-10T23:59:59.000Z

359

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

360

Joint Environmental Assessment of the California Department of Food and Agriculture Curly Tope Virus Control Program for the Bureau of Land Management and Department of Energy  

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

JOINT ENVIRONMENTAL ASSESSMENT JOINT ENVIRONMENTAL ASSESSMENT 2002-2006 OF THE CALIFORNIA DEPARTMENT OF FOOD AND AGRICULTURE CURLY TOP VIRUS CONTROL PROGRAM FOR BUREAU OF LAND MANAGEMENT AND DEPARTMENT OF ENERGY DOE/EA-# 1363 April, 2002 2 TABLE OF CONTENTS Page No. I. INTRODUCTION 9 A. Purpose and Need......................................................... 10 B. Background................................................................... 10-11 II. PROPOSED ACTIONS AND ALTERNATIVES Alternative 1 - Proposed Action........................................... 12 General Program.................................................... 12-15 Program Specifics.................................................. 15-18 Public Health and Environmental Considerations:

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


361

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

362

Total quality management implementation guidelines  

SciTech Connect (OSTI)

These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

Not Available

1993-12-01T23:59:59.000Z

363

Total Heart Transplant: A Modern Overview  

E-Print Network [OSTI]

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

Lingampalli, Nithya

2014-01-01T23:59:59.000Z

364

Summary Report for Bureau of Fisheries Stream Habitat Surveys : Willamette River Basin, 1934-1942, Final Report.  

SciTech Connect (OSTI)

This document contains summary reports of stream habitat-surveys, conducted in the Willamette River basin, by the Bureau of Fisheries (BOF, now National Marine Fisheries Service) from 1934-1942. These surveys were part of a larger project to survey streams in the Columbia River basin that provided, or had provided, spawning and rearing habitat for salmon and steelhead (Rich, 1948). The purpose of the survey was, as described by Rich, 'to determine the present condition of the various tributaries with respect to their availability and usefulness for the migration, breeding, and rearing of migratory fishes'. Current estimates of the loss of anadromous fish habitat in the Columbia River Basin are based on a series of reports published from 1949-1952 by the U.S. Fish and Wildlife Service. The reports were brief, qualitative accounts of over 5000 miles of stream surveys conducted by the BOF from 1934-1946 (Bryant, 1949; Bryant and Parkhurst, 1950; Parkhurst, 1950a-c; Parkhurst et al., 1950). Despite their brevity, these BOF reports have formed the basis for estimating fish habitat losses and conditions in the Columbia River Basin (Fulton, 1968, 1970; Thompson, 1976; NPPC, 1986). Recently, the field notebooks from the BOF surveys were discovered. The data is now archived and stored in the Forest Science DataBank at Oregon State University (Stafford et al., 1984; 1988). These records are the earliest and most comprehensive documentation available of the condition and extent of anadromous fish habitat before hydropower development in the Columbia River Basin. They provide the baseline data for quantifying changes and setting a benchmark for future restoration of anadromous fish habitat throughout the Basin. The summaries contained in this book are exact replicates of the originals. Due to discrepancies between the field data and the summaries, the database should be used to assess pool and substrate conditions. This data is available from the Bonneville Power Administration. The Bureau of Fisheries survey is unique because it is the only long-term data set that quantifies fish habitat in a manner that is replicable over time; no other similar work is known to exist. Other surveys, such as Thompson and Haas (1960), inventoried extensive areas in a manner that was mostly qualitative, subjectively estimating physical characteristics like bank cover and stream shading. Spawning, rearing, and resting habitat were not systematically quantified to allow comparisons over time. Knowledge of past and present quantity and quality of anadromous fish habitat in the Columbia River Basin is essential to any effort to enhance fish populations. Habitat condition is a key element in monitoring and evaluating progress towards the doubling goal. Integration of this information into the Columbia River Fish and Wildlife Plan can provide the basis to greatly enhance understanding of past, present, and future habitat conditions in the basin to provide for improved management decisions.

McIntosh, Bruce A.; Clark, Sharon E.; Sedell, James R.

1995-01-01T23:59:59.000Z

365

Summary Report for Bureau of Fisheries Stream Habitat Surveys : Yakima River Basin, 1934-1942, Final Report.  

SciTech Connect (OSTI)

This document contains summary reports of stream habitat surveys, conducted in the Yakima River basin, by the Bureau of Fisheries (BOF, now National Marine Fisheries Service) from 1934-1942. These surveys were part of a larger project to survey streams in the Columbia River basin that provided, or had provided, spawning and rearing habitat for salmon and steelhead (Rich, 1948). The purpose of the survey was, as described by Rich, 'to determine the present condition of the various tributaries with respect to their availability and usefulness for the migration, breeding, and rearing of migratory fishes'. Current estimates of the loss of anadromous fish habitat in the Columbia River Basin are based on a series of reports published from 1949-1952 by the U.S. Fish and Wildlife Service. The reports were brief, qualitative accounts of over 5000 miles of stream surveys conducted by the BOF from 1934-1946 (Bryant, 1949; Bryant and Parkhurst, 1950; Parkhurst, 1950a-c; Parkhurst et al., 1950). Despite their brevity, these BOF reports have formed the basis for estimating fish habitat losses and conditions in the Columbia River Basin (Fulton, 1968, 1970; Thompson, 1976; NPPC, 1986). Recently, the field notebooks from the BOF surveys were discovered. The data is now archived and stored in the Forest Science DataBank at Oregon State University (Stafford et al., 1984; 1988). These records are the earliest and most comprehensive documentation available of the condition and extent of anadromous fish habitat before hydropower development in the Columbia River Basin. They provide the baseline data for quantifying changes and setting a benchmark for future restoration of anadromous fish habitat throughout the Basin. The summaries in this book are exact replicates of the originals. Due to discrepancies between the field data and the summaries, the database should be used to assess pool and substrate conditions. This data is available from the Bonneville Power Administration. The Bureau of Fisheries survey is unique because it is the only long-term data set that quantifies fish habitat in a manner that is replicable over time; no other similar work is known to exist. Other surveys, such as Thompson and Haas (1960), inventoried extensive areas in a manner that was mostly qualitative, subjectively estimating physical characteristics like bank cover and stream shading. Spawning, rearing, and resting habitat were not systematically quantified to allow comparisons over time. Knowledge of the past and present quantity and quality of anadromous fish habitat in the Columbia River Basin is essential to any effort to enhance fish populations. Habitat condition is a key element in monitoring and evaluating progress towards the doubling goal. Integration of this information into the Columbia River Fish and Wildlife Plan can provide the baseline information to greatly enhance understanding of past, present, and future habitat conditions in the basin to provide for improved management decisions.

McIntosh, Bruce A.; Clark, Sharon E.; Sedell, James R.

1996-01-01T23:59:59.000Z

366

Memorandum of Understanding Between the U.S. Department of Energy Loan Guarantee Program Office and the U.S. Department of the Interior Bureau of Land Management (Nevada)  

Broader source: Energy.gov [DOE]

Full Title: Memorandum of Understanding Between the U.S. Department of Energy Loan Guarantee Program Office and the U.S. Department of the Interior Bureau of Land Management Nevada State Office...

367

Institutional versus retail traders : a comparison of their order flow and impact on trading on the Australian Stock Exchange.  

E-Print Network [OSTI]

??The objective of the thesis is to examine the trading behaviour and characteristics of retail and institutional traders on the Australian Stock Exchange. There are… (more)

Wee, Marvin

2005-01-01T23:59:59.000Z

368

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. Total 5,752 5,180 7,707 9,056 6,880 6,008 1936-2013 PAD District 1 1,677 1,689 2,008 3,074 2,135 2,814 1981-2013 Connecticut 1995-2009 Delaware 1995-2012 Florida 359 410 439 392 704 824 1995-2013 Georgia 324 354 434 364 298 391 1995-2013 Maine 65 1995-2013 Maryland 1995-2013 Massachusetts 1995-2012 New Hampshire 1995-2010 New Jersey 903 756 948 1,148 1,008 1,206 1995-2013 New York 21 15 14 771 8 180 1995-2013 North Carolina 1995-2011 Pennsylvania 1995-2013 Rhode Island 1995-2013 South Carolina 150 137 194 209 1995-2013 Vermont 5 4 4 5 4 4 1995-2013 Virginia 32 200 113 1995-2013 PAD District 2 217 183 235 207 247 179 1981-2013 Illinois 1995-2013

369

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Noyes, MN Warroad, MN Babb, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Elba Island, GA Freeport, TX Gulf LNG, MS LNG Imports from Equatorial Guinea LNG Imports from Indonesia LNG Imports from Malaysia LNG Imports from Nigeria Cove Point, MD LNG Imports from Norway Cove Point, MD Freeport, TX Sabine Pass, LA LNG Imports from Oman LNG Imports from Peru Cameron, LA Freeport, TX LNG Imports from Qatar Elba Island, GA Golden Pass, TX Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Sabine Pass, LA LNG Imports from United Arab Emirates LNG Imports from Yemen Everett, MA Freeport, TX Sabine Pass, LA LNG Imports from Other Countries Period: Monthly Annual

370

Natural Gas Total Liquids Extracted  

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

Thousand Barrels) Thousand Barrels) Data Series: Natural Gas Processed Total Liquids Extracted NGPL Production, Gaseous Equivalent Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 658,291 673,677 720,612 749,095 792,481 873,563 1983-2012 Alabama 13,381 11,753 11,667 13,065 1983-2010 Alaska 22,419 20,779 19,542 17,798 18,314 18,339 1983-2012 Arkansas 126 103 125 160 212 336 1983-2012 California 11,388 11,179 11,042 10,400 9,831 9,923 1983-2012 Colorado 27,447 37,804 47,705 57,924 1983-2010 Florida 103 16 1983-2008 Illinois 38 33 24 231 705 0 1983-2012

371

Snake River Fall Chinook Salmon Brood-Stock Program, 1981-1986 Final Report of Research.  

SciTech Connect (OSTI)

The objective of the Snake River Fall Chinook Salmon Brood-stock Program was to hatch eggs from upriver stocks, rear the fish to spawning maturity, and use the resulting eggs for stock restoration in the Snake River. Approximately 15,000 eyed Snake River fall chinook salmon eggs were obtained each winter in 1981, 1982, 1983, and 1984 from various Columbia River hatcheries. Fish from these eggs were reared in dechlorinated City of Seattle water at the Northwest and Alaska Fisheries Center or in constant 10.5/degree/C groundwater at the University of Washington's Big Beef Creek Research Station. Seawater tolerance trials of 0+ age (3--5 months) juveniles in all four brood stocks were strongly suggestive of the 1+ age smoltification pattern of spring chinook salmon. Attempts to transfer 0+ age fish to marine net-pens at the Manchester Marine Experimental Station were unsuccessful during the four brood years. The only Snake River fall chinook salmon that demonstrated acceptable survival after 4 months residence in seawater were fish that were transferred as 1+ age smolts. After smolts were successfully transferred to seawater, losses were minimal for several months. However, in all Snake River chinook salmon stocks, mortality due to bacterial kidney disease (BKD) and a previously undescribed ''rosette disease'' resulted in very few maturing fish at 4 or 5 years of age. 5 refs., 7 figs.

Harrell, Lee W.

1987-03-01T23:59:59.000Z

372

Bureau of Current Affairs  

Science Journals Connector (OSTI)

... . This·, too, will be published once a fortnight and will be produced in poster size and in colour. Its front side will ombody in maps, pictures and diagrams ... committee made up partly from the Trustees and partly from people of standing in British education. The chairman is Mr. P. R. Morris, vice-chancellor of the University ...

1946-04-06T23:59:59.000Z

373

Total Petroleum Systems and Assessment Units (AU)  

E-Print Network [OSTI]

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

Torgersen, Christian

374

Locating and total dominating sets in trees  

Science Journals Connector (OSTI)

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

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

2006-01-01T23:59:59.000Z

375

Locating-total domination in graphs  

Science Journals Connector (OSTI)

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

Michael A. Henning; Nader Jafari Rad

2012-01-01T23:59:59.000Z

376

EM Rockets Past Target for Donations to Stock Food Banks | Department of  

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

Rockets Past Target for Donations to Stock Food Banks Rockets Past Target for Donations to Stock Food Banks EM Rockets Past Target for Donations to Stock Food Banks November 13, 2012 - 12:00pm Addthis EMCBC Director Jack Craig, left to right, EM Executive Assistant Jillian Carter, who is EM's Feds Feed Families representative, and Senior Advisor for Environmental Management David Huizenga pause for a photo Nov. 8. Craig holds the "Teamwork Award" he and his staff received. EMCBC Director Jack Craig, left to right, EM Executive Assistant Jillian Carter, who is EM's Feds Feed Families representative, and Senior Advisor for Environmental Management David Huizenga pause for a photo Nov. 8. Craig holds the "Teamwork Award" he and his staff received. Savannah River Site Acquisition Operations Division Director David Hepner donated more than 1,000 pounds of food to the campaign.

377

Wuhan Linuo Solar Energy Group Stock Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Group Stock Co Ltd Solar Energy Group Stock Co Ltd Jump to: navigation, search Name Wuhan Linuo Solar Energy Group Stock Co Ltd Place Wuhan, Hubei Province, China Zip 430015 Sector Solar Product String representation "Develop, manufa ... istry painting." is too long. Coordinates 30.572399°, 114.279121° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.572399,"lon":114.279121,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

378

DOE Accepts Bids for Northeast Home Heating Oil Stocks | Department of  

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

Accepts Bids for Northeast Home Heating Oil Stocks Accepts Bids for Northeast Home Heating Oil Stocks DOE Accepts Bids for Northeast Home Heating Oil Stocks February 3, 2011 - 12:00pm Addthis Washington, DC - The U.S. Department of Energy (DOE) today has awarded contracts to three companies who successfully bid for the purchase of 984,253 barrels of heating oil from the Northeast Home Heating Oil Reserve. Awardee Amount Morgan Stanley 500,000 barrels Shell Trading U.S. Company 250,000 barrels George E. Warren Corporation 234,253 barrels Today's sale was the first held as part of the Department's initiative to convert the current 1,984,253-barrel heating oil reserve to cleaner burning ultra low sulfur distillate. Contracts for the heating oil will be executed upon final payment to DOE; final payment is required no later than

379

Distillate Stocks on the East Coast Were Very Low Entering Last Winter  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: So, what happened last winter? At last year's SHOPP conference, my renowned colleague, Joanne Shore, warned of the potential for high prices. At this time last year, distillate stocks were very low. This graph shows East Coast inventories, which at the end of July 2000, were well below the normal band. We focus on the East Coast (PADD 1) because this is a region in which heating oil is a major winter fuel. Furthermore, the East Coast consumes almost 2/3 of the nation's heating oil (high sulfur distillate). East Coast stocks were well below normal last year from July through December, but then actually increased in January, when they typically decline. In fact, the increase was only the 2nd time East Coast distillate stocks have increased in January since EIA has kept PADD level data (1981)!

380

Feds Feed Families Wraps Up Successful Campaign to Stock Area Food Banks |  

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

Feds Feed Families Wraps Up Successful Campaign to Stock Area Food Feds Feed Families Wraps Up Successful Campaign to Stock Area Food Banks Feds Feed Families Wraps Up Successful Campaign to Stock Area Food Banks August 1, 2012 - 12:00pm Addthis EM’s Nevada Site Office took first place in the site-submitted category of DOE’s CANstruction Sculpture Contest for its entry, shown here, inspired by London’s Tower Bridge during the 2012 Summer Olympics. EM's Nevada Site Office took first place in the site-submitted category of DOE's CANstruction Sculpture Contest for its entry, shown here, inspired by London's Tower Bridge during the 2012 Summer Olympics. EM Office of Strategic Planning and Analysis Director Barry Gaffney throws the ball that sends Senior Advisor for Environmental Management David Huizenga into the dunk tank during an event to collect nonperishable food items for the DOE Feeds Families campaign.

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


381

DOE Completes Sale of Northeast Home Heating Oil Stocks | Department of  

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

Completes Sale of Northeast Home Heating Oil Stocks Completes Sale of Northeast Home Heating Oil Stocks DOE Completes Sale of Northeast Home Heating Oil Stocks February 10, 2011 - 12:00pm Addthis Washington, DC - The U.S. Department of Energy (DOE) today has awarded contracts to four companies who successfully bid for the purchase of 1,000,000 barrels of heating oil from the Northeast Home Heating Oil Reserve storage sites in Groton and New Haven, CT. Hess Groton Terminal, Groton, CT Shell Trading U.S. Company 150,000 barrels Sprague Energy Corp. 100,000 barrels Magellan New Haven Terminal, New Haven, CT Hess Corporation 300,000 barrels Morgan Stanley 450,000 barrels Today's sale was the second held as part of the Department's initiative to convert the 1,984,253 barrel heating oil reserve to cleaner burning

382

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

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

Window-Related Energy Consumption in the US Window-Related Energy Consumption in the US Residential and Commercial Building Stock Joshua Apte and Dariush Arasteh, Lawrence Berkeley National Laboratory LBNL-60146 Abstract We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate

383

Production smoothing and buffer stock reduction for two-stage production and inventory systems  

Science Journals Connector (OSTI)

This paper deals with the problem of developing an effective push-type ordering system which can decrease the variations of production ordering and inventory levels, while taking into account forecasted error, the difference between forecasted values and the backlog quantity, in which the shortage of safety stock of component parts causes a discrepancy between production ordering and actual production levels. The ordering system is developed on the basis of an idea which combines safety stock and the weight of the feedback quantity of actual and forecasted term-end inventory levels. Some results of numerical analysis show the effects of safety stock of the component parts and the feedback control parameter of each production stage, the autocorrelation coefficient of product demand upon the amplifications of production ordering and inventory levels.

Kazuyoshi Ishii; Shusaku Hiraki

2000-01-01T23:59:59.000Z

384

Annual Coded Wire Tag Program; Oregon Stock Assessment, 2000 Annual Report.  

SciTech Connect (OSTI)

This annual report is in fulfillment of contract obligations with Bonneville Power Administration which is the funding source for the Oregon Department of Fish and Wildlife's Annual Stock Assessment - Coded Wire Tag Program (ODFW) Project. Tule stock fall chinook were caught primarily in British Columbia and Washington ocean, and Columbia Basin fisheries. Up-river bright stock fall chinook contributed primarily to Alaska and British Columbia ocean commercial, Columbia Basin gillnet and freshwater sport fisheries. Contribution of Rogue stock fall chinook released in the lower Columbia River occurred primarily in Oregon ocean commercial, Columbia Basin gillnet and freshwater sport fisheries. Willamette stock spring chinook contributed primarily to Alaska and British Columbia ocean, and Columbia Basin sport fisheries. Willamette stock spring chinook released by CEDC contributed to similar ocean fisheries, but had much higher catch in Columbia Basin gillnet fisheries than the same stocks released in the Willamette Basin. Up-river stocks of spring chinook contributed almost exclusively to Columbia Basin fisheries. The up-river stocks of Columbia River summer steelhead contributed almost exclusively to the Columbia Basin gillnet and freshwater sport fisheries. Coho ocean fisheries from Washington to California were closed or very limited from 1994 through 1999 (1991 through 1996 broods). This has resulted in a lower percent of catch in Washington, Oregon and California ocean fisheries, and a higher percent of catch in Alaska and British Columbia ocean and Columbia Basin freshwater fisheries. Coho stocks released by ODFW below Bonneville Dam were caught mainly in Oregon, Washington, and British Columbia ocean, Columbia Gillnet and freshwater sport fisheries. Coho stocks released in the Klaskanine River and Youngs Bay area had similar ocean catch distributions, but a much higher percent catch in gillnet fisheries than the other coho releases. Ocean catch distribution of coho stocks released above Bonneville Dam was similar to the other coho groups. However, they had a higher percent catch in gillnet fisheries above Bonneville Dam than coho released below the dam. Survival rates of salmon and steelhead are influenced, not only by factors in the hatchery (disease, density, diet, size and time of release) but also by environmental factors in the river and ocean. These environmental factors are influenced by large scale oceanic and weather patterns such as El Nino. Changes in rearing conditions in the hatchery do impact survival, however, these can be offset by impacts caused by environmental factors. Coho salmon released in the Columbia River generally experience better survival rates when released later in the spring. However, for the 1990 brood year June releases of Columbia River coho had much lower survival than May releases, for all ODFW hatcheries. In general survival of ODFW Columbia River hatchery coho has declined to low levels in recent years. Preliminary results from the evaluation of Visual Implant Elastomer (VIE) tags showed tagging rate and pre-release tag retention improved from the first to second years of tagging. Tagging rate remained identical from 1999 to 2000 while pre-release tag retention dropped to 95%. Returning jack and adult salmon were sampled for CWT and VIE tags in the fall of 2000. Of 606 adults recovered at Sandy Fish Hatchery in 2000, only 1 or 0.2%, retained their VIE tag. Of 36 jacks recovered in 2000, 13 or 36.1% retained their VIE tag.

Lewis, Mark; Mallette, Christine; Murray, William

2002-03-01T23:59:59.000Z

385

Oil Price and Stock Returns of Consumers and Producers of Crude Oil  

Science Journals Connector (OSTI)

Abstract In this paper we investigate how differently stock returns of oil producers and oil consumers are affected from oil price changes. We find that stock returns of oil producers are affected positively by oil price changes regardless of whether oil price is increasing or decreasing. For oil consumers, oil price changes do not affect all consumer sub-sectors and where it does, this effect is heterogeneous. We find that oil price returns have an asymmetric effect on stock returns for most sub-sectors. We devise simple trading strategies and find that while both consumers and producers of oil can make statistically significant profits, investors in oil producer sectors make relatively more profits than investors in oil consumer sectors

Dinh Hoang Bach Phan; Susan Sunila Sharma; Paresh Kumar Narayan

2014-01-01T23:59:59.000Z

386

The impact of oil price shocks on the stock market return and volatility relationship  

Science Journals Connector (OSTI)

Abstract This paper examines the impact of structural oil price shocks on the covariance of U.S. stock market return and stock market volatility. We construct from daily data on return and volatility the covariance of return and volatility at monthly frequency. The measures of daily volatility are realized-volatility at high frequency (normalized squared return), conditional-volatility recovered from a stochastic volatility model, and implied-volatility deduced from options prices. Positive shocks to aggregate demand and to oil-market specific demand are associated with negative effects on the covariance of return and volatility. Oil supply disruptions are associated with positive effects on the covariance of return and volatility. The spillover index between the structural oil price shocks and covariance of stock return and volatility is large and highly statistically significant.

Wensheng Kang; Ronald A. Ratti; Kyung Hwan Yoon

2015-01-01T23:59:59.000Z

387

U.S. Total Exports  

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

International Falls, MN Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT North Troy, VT LNG Imports into Cameron, LA LNG Imports into Cove Point, MD LNG Imports into Elba Island, GA LNG Imports into Everett, MA LNG Imports into Freeport, TX LNG Imports into Golden Pass, TX LNG Imports into Gulf Gateway, LA LNG Imports into Gulf LNG, MS LNG Imports into Lake Charles, LA LNG Imports into Neptune Deepwater Port LNG Imports into Northeast Gateway LNG Imports into Sabine Pass, LA U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Alamo, TX El Paso, TX Galvan Ranch, TX Hidalgo, TX McAllen, TX Penitas, TX LNG Imports from Algeria Cove Point, MD Everett, MA Lake Charles, LA LNG Imports from Australia Everett, MA Lake Charles, LA LNG Imports from Brunei Lake Charles, LA LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Equatorial Guinea Elba Island, GA Lake Charles, LA LNG Imports from Indonesia Lake Charles, LA LNG Imports from Malaysia Gulf Gateway, LA Lake Charles, LA LNG Imports from Nigeria Cove Point, MD Elba Island, GA Freeport, TX Gulf Gateway, LA Lake Charles, LA Sabine Pass, LA LNG Imports from Norway Cove Point, MD Sabine Pass, LA LNG Imports from Oman Lake Charles, LA LNG Imports from Peru Cameron, LA Freeport, TX Sabine Pass, LA LNG Imports from Qatar Cameron, LA Elba Island, GA Golden Pass, TX Gulf Gateway, LA Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf Gateway, LA Gulf LNG, MS Lake Charles, LA Neptune Deepwater Port Northeast Gateway Sabine Pass, LA LNG Imports from United Arab Emirates Lake Charles, LA LNG Imports from Yemen Everett, MA Freeport, TX Neptune Deepwater Port Sabine Pass, LA LNG Imports from Other Countries Lake Charles, LA Period: Monthly Annual

388

Cow-Calf and Vegetation Response to Heavy Rates of Stocking at the Texas Experimental Ranch.  

E-Print Network [OSTI]

. 1978. Stocking rate theory and its applica tion to grazing on rangeland. In: Proc. First Int. Range. Congr. Soc. Range Manage. Denver, CO pp. 606-609. Hart, R. H. 1980. Determining a proper stocking rate for a grazing system. Proc. Grazing. Manage.... Denver, CO pp. 541-546. Lewis, J. K., G. M. Van Dyne, L. R. Albee, and F. W. Whetzal. 1956. Intensity of grazing: Its effect on livestock and forage production. S. Oak. Agr. Exp. Sta. Bull. 459. 44 p. Mcilvain, E. H. and M. C. Shoop. 1962. Calves...

Heitschmidt, R.K.; Johnson, A.B.; Frasure, J.R.; Price, D.L.

1983-01-01T23:59:59.000Z

389

Approach for the Improvement of Energy Performance of a Stock of Buildings  

E-Print Network [OSTI]

. - The tools must be accessible via the Intranet of the ministry in order to be easily and widely accessible. DEVELOPMENT OF TOOLS ADAPTED TO END-USER To analyze and improve the performance of the ministry of equipment stock of buildings we have.... - The tools must be accessible via the Intranet of the ministry in order to be easily and widely accessible. DEVELOPMENT OF TOOLS ADAPTED TO END-USER To analyze and improve the performance of the ministry of equipment stock of buildings we have...

Vaezi-Nejad, H.; Bouillon, J.; Crozier, L.; Guyot, G.

2003-01-01T23:59:59.000Z

390

Stock Assessment of Columbia River Anadromous Salmonids : Final Report, Volume I, Chinook, Coho, Chum and Sockeye Salmon Summaries.  

SciTech Connect (OSTI)

The purpose was to identify and characterize the wild and hatchery stocks of salmon and steelhead in the Columbia River Basin on the basis of currently available information. This report provides a comprehensive compilation of data on the status and life histories of Columbia Basin salmonid stocks.

Howell, Philip J.

1986-07-01T23:59:59.000Z

391

Optimal production and rationing policies of a make-to-stock production system with batch demand and backordering  

Science Journals Connector (OSTI)

In this paper, we consider the stock rationing problem of a single-item make-to-stock production/inventory system with multiple demand classes. Demand arrives as a Poisson process with a randomly distributed batch size. It is assumed that the batch demand ... Keywords: Batch demand, Inventory, Markov decision process, Production, Rationing

Jianjun Xu; Shaoxiang Chen; Bing Lin; Rohit Bhatnagar

2010-05-01T23:59:59.000Z

392

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R,r) Policy  

E-Print Network [OSTI]

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R Infinitesimal Perturbation Analysis (IPA) in the class of Make-to Stock (MTS) production-inventory systems regularity assumptions. The paper then analyzes the SFM counterpart and derives closed-form IPA derivative

393

Relationships between fish stock changes in the Baltic Sea and the M74 syndrome, a reproductive disorder of Atlantic  

E-Print Network [OSTI]

Relationships between fish stock changes in the Baltic Sea and the M74 syndrome, a reproductive. Relationships between fish stock changes in the Baltic Sea and the M74 syndrome, a reproductive disorder in the BPr, primarily sprat, induce M74. By reducing the fishing pressure on cod (Gadus morhua) and by more

394

Time-phased safety stocks planning and its financial impacts: Empirical evidence based on European econometric data  

Science Journals Connector (OSTI)

Abstract This paper explores the rationale for planning time-phased safety stocks. We assert that a single safety stock vector for the entire planning horizon (typically based on stationary demand forecast errors and stationary replenishment lead times) may be insufficient for hedging against uncertainties. We argue that planning time-phased safety stocks is prudent when faced with non-stationary demand and/or non-stationary supply. We scrutinize particularly whenever non-stationarity is due to heteroscedastic demand and resulting heteroscedastic demand forecast errors. Consequently, an empirical evidence on a wide basis is provided that such errors for manufactured products are highly heteroscedastic. To test the phenomenon and to estimate its impact at stock keeping unit level, we have conducted an econometric analysis using the EUROSTAT data from 1985 onwards. Specifically, we analyze new industrial orders across various industries and types of goods manufactured in the five largest European economies by using \\{EViews\\} 7.0. To demonstrate which inventory savings can accrue when safety stock levels are deliberately planned to vary in accordance with the observed heteroscedasticity, we estimate potential safety stock savings reusing the same data sets. Our findings indicate that one realization of non-stationarity, i.e., heteroscedastic demand, is indeed pervasive in the European industry. Thus, recognition of this demand nature may add to effective inventory management policies: reducing unnecessary safety stocks, improving service, or both relative to a single-valued safety stock regimen.

Martin Stößlein; John Jack Kanet; Mike Gorman; Stefan Minner

2014-01-01T23:59:59.000Z

395

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over the Last Decade  

E-Print Network [OSTI]

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over This article extends the understanding of oil­stock market relationships over the last turbulent decade. Unlike returns to oil price changes differ greatly depending on the activity sector. In the out

Paris-Sud XI, Université de

396

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

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

397

Total cost model for making sourcing decisions  

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

398

Team Total Points Beta Theta Pi 2271  

E-Print Network [OSTI]

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

Buehrer, R. Michael

399

Rapid Monitoring of Hydrocarbon Blending Stocks in Modified Aviation Turbine Fuels  

Science Journals Connector (OSTI)

......stocks in JP-4 aviation turbine fuel. Introduction High resolution capillary gas chromatography affords...principal Air Force aviation turbine fuel, and the incorporation...Model 3700 capillary gas chromatographic system...Products), to remove residual oxygen and/or water......

P.C. Hayes; Jr.; E.W. Pitzer

1984-10-01T23:59:59.000Z

400

A hybrid FLANN and adaptive differential evolution model for forecasting of stock market indices  

Science Journals Connector (OSTI)

This paper presents a computationally efficient functional link artificial neural network CEFLANN based adaptive model for financial time series prediction of leading Indian stock market indices. Financial time-series data are usually non-stationary ... Keywords: Adaptive Differential Evolution Ade, Artificial Neural Network, Functional Link Neural Network Flann, Least Mean Squares Lms, Technical Indicators

Ajit Kumar Rout; Birendra Biswal; Pradipta Kishore Dash

2014-01-01T23:59:59.000Z

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


401

Stock Portfolio Evaluation: An Application of Genetic-Programming-Based Technical Analysis  

E-Print Network [OSTI]

of investment risk from historical price patterns. The purpose of this paper is not to provide justification on the belief that historical stock statistics exhibit regularities. According to the Efficient Market Hypothesis (EMH) (Fama 1970; Malkiel 1992), since historical statistics data is already reflected

Fernandez, Thomas

402

Rapid Monitoring of Hydrocarbon Blending Stocks in Modified Aviation Turbine Fuels  

Science Journals Connector (OSTI)

......JP-4 jet fuel. For JP-4 turbine fuel, the analysis is relatively...blending stocks in JP-4 aviation turbine fuel. Introduction High resolution...principal Air Force aviation turbine fuel, and the incorporation...Scientific). The column's efficiency was measured and found to be......

P.C. Hayes; Jr.; E.W. Pitzer

1984-10-01T23:59:59.000Z

403

John Sevier Aquatic Biological Program: Paddlefish stocking and assessment report for 1986. [Polyodon spathula  

SciTech Connect (OSTI)

In January, 1986, approximately 10,700 yearling paddlefish were released in Cherokee Reservoir. Initial mortality was apparently low, with fewer than 100 stocked paddlefish found dead in the vicinity of the release site. Subsequent sampling has yielded little data on distribution and abundance of paddlefish in Cherokee Reservoir. Observations suggest young paddlefish dispersed widely and may not have experienced heavy mortality. (ACR)

Pasch, R.W.

1986-06-01T23:59:59.000Z

404

SEASONAL AND INSHORE-OFFSHORE VARIATIONS IN THE STANDING STOCKS OF MICRONEKTON AND  

E-Print Network [OSTI]

SEASONAL AND INSHORE-OFFSHORE VARIATIONS IN THE STANDING STOCKS OF MICRONEKTON AND MACROZOOPLANKTON OFF OREGON WILLIAM G. PEARCyl ABSTRACT Dry weights of pelagic animals captured along an inshore-offshore, shrimps, and squids) were largest inshore (28 and 46 km offshore) in the winter (November

405

Systematic analysis of group identification in stock markets Dong-Hee Kim* and Hawoong Jeong  

E-Print Network [OSTI]

Systematic analysis of group identification in stock markets Dong-Hee Kim* and Hawoong Jeong that the statistics of the bulk eigenvalues are in remarkable agreements with the universal properties of the random correlation matrix. For example, the bulk part of the eigenvalue spectrum of the empirical correlation matrix

Jeong, Hawoong

406

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Lost Sales  

E-Print Network [OSTI]

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Lost Sales Yao Zhao for IPA (Infinitesimal Perturbation Analysis) derivatives of the sample-path time averages law need be postulated. It is further shown that all IPA derivatives under study are unbiased and very

Lin, Xiaodong

407

Tridacnid Clam Stocks on Helen Reef, Palau, Western CaroUnels Sli~s WENDY HIRSCHBERGER  

E-Print Network [OSTI]

Tridacnid Clam Stocks on Helen Reef, Palau, Western CaroUnels Sli~s WENDY HIRSCHBERGER Introduction in the south Palau District, Western Caroline Is- lands, Trust Territory of the Pacific Is- lands.-Helen Island at Helen Reef atoll, in Palau's southwest islands. remote area is uninhabited and receives only

408

Clustering of Japanese stock returns by recursive modularity optimization for efficient portfolio diversification  

Science Journals Connector (OSTI)

......these two groups are linked by statistical tests. The standard sector classification is...stability of communities detected, and test the significance quantitatively. In Japan...appropriate lag parameters. The Ljung-Box test is conducted for every stock to ensure......

Takashi Isogai

2014-12-01T23:59:59.000Z

409

The Visualization of Large Database in Stock Market Li Lin, Longbing Cao, Chengqi Zhang  

E-Print Network [OSTI]

and global trend with fish- eye technology. Second, for the result graph, there are many parameters, so we; Fish-eye view; Local details; Global trends; Dimension reducing 1. Introduction In stock market another problem for a trading system. In the paper, we have resolved the two problems with fish- eye

Cao, Longbing

410

Oil price shocks and stock market returns: New evidence from the United States and China  

Science Journals Connector (OSTI)

Abstract This study examines the time-varying correlations between oil prices shocks of different types (supply-side, aggregate demand and oil-market specific demand as per Kilian (2009) who highlighted that “Not all oil shocks are alike”) and stock market returns, using a Scalar-BEKK model. For this study we consider the aggregate stock market indices from two countries, China and the US, reflecting the most important developing and developed financial markets in the world. In addition to the whole market, we also consider correlations from key selected industrial sectors, namely Metals & Mining, Oil & Gas, Retail, Technology and Banking. The sample period runs from 1995 until 2013. We highlight several key points: (i) correlations between oil price shocks and stock returns are clearly and systematically time-varying; (ii) oil shocks of different types show substantial variation in their impact upon stock market returns; (iii) these effects differ widely across industrial sectors; and finally (iv) China is seemingly more resilient to oil price shocks than the US.

David C. Broadstock; George Filis

2014-01-01T23:59:59.000Z

411

Fossil fuel prices, exchange rate, and stock market: A dynamic causality analysis on the European market  

Science Journals Connector (OSTI)

The article investigates causality between fossil fuel prices, exchange rates and the German Stock Index (DAX). The analysis is conducted dynamically with the use of rolling VAR methodology on the basis of weekly data from the period October 2001–June 2012. The results obtained show that the relationship between the variables changed over time depending on the level of volatility in financial markets.

S?awomir ?miech; Monika Papie?

2013-01-01T23:59:59.000Z

412

Carbon Stocks and Projections on Public Forestlands in the United States, 19522040  

E-Print Network [OSTI]

ARTICLES Carbon Stocks and Projections on Public Forestlands in the United States, 1952­2040 JAMES are publicly owned; they represent a substantial area of potential carbon sequestration in US for- ests inventoried than privately owned forests. Thus, less information is avail- able about their role as carbon

413

Market impact and trading profile of hidden orders in stock markets Esteban Moro,1,2  

E-Print Network [OSTI]

Market impact and trading profile of hidden orders in stock markets Esteban Moro,1,2 Javier Vicente, Italy Received 3 August 2009; published 1 December 2009 We empirically study the market impact, which we call hidden orders. These are statistically reconstructed based on information about market

414

Million Cu. Feet Percent of National Total  

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

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

415

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

416

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

417

Million Cu. Feet Percent of National Total  

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

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

418

Million Cu. Feet Percent of National Total  

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

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

419

Million Cu. Feet Percent of National Total  

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

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

420

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

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


421

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

422

Million Cu. Feet Percent of National Total  

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

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

423

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

424

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

425

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

426

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

427

Million Cu. Feet Percent of National Total  

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

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

428

Million Cu. Feet Percent of National Total  

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

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

429

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

430

Million Cu. Feet Percent of National Total  

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

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

431

Million Cu. Feet Percent of National Total  

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

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

432

Million Cu. Feet Percent of National Total  

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

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

433

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

434

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

435

Million Cu. Feet Percent of National Total  

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

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

436

Compare All CBECS Activities: Total Energy Use  

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

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

437

TotalView Parallel Debugger at NERSC  

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

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

438

Empirically-driven hierarchical classification of stock keeping units  

Science Journals Connector (OSTI)

This paper proposes a hierarchical multi-criteria classification method developed for inventory management purposes and applied in a case study of the spare parts business of a household appliance manufacturer. The classification method is built on the basis of SIX dimensions, resulting in 12 different classes of spare parts, for which differentiated forecasting and inventory policies are proposed and tested. The results of our simulation study demonstrate the reduction of the total logistics costs by about 20% whilst still achieving the specified target service level for each class. Even more importantly, the proposed approach is simple enough to be understood and applied by company managers, thus increasing the probability of its adoption (in the same or similar fashion) in other real world settings.

A. Bacchetti; F. Plebani; N. Saccani; A.A. Syntetos

2013-01-01T23:59:59.000Z

439

Effect of Oil Price Volatility on Tunisian Stock Market at Sector-level and Effectiveness of Hedging Strategy  

Science Journals Connector (OSTI)

Abstract In this work, our objective is to study in a first step links and interaction between oil and stock markets in Tunisia in terms of volatility at the sector-level, and then in a second step to determine the best hedging strategy for oil-stock portfolio against the risk of negative variation in stock market prices. Our methodology consist to model the data by a bivariate GARCH model to capture the effect in terms of volatility in the variation of the oil price on the different sector index, and to use the conditional variances and conditional correlation to calculate the hedging ratio and determinate the best hedging strategy. The empirical results indicate that the majority of relationships are unidirectional from the oil market to Tunisian stock market, and the conditional variance of a stock sector returns is affected not only by the volatility surprises of the stock market, but also by those of oil market. The model GARCH-BEKK is more effective than the others versions to minimize the risk of oil-stock portfolio.

Wajdi Hamma; Anis Jarboui; Ahmed Ghorbel

2014-01-01T23:59:59.000Z

440

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

E-Print Network [OSTI]

the fraction of total energy consumption attributable toFraction of Total Energy Consumption Background Although thewindow fraction of total energy consumption. We believe that

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

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


441

Million Cu. Feet Percent of National Total  

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

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

442

Million Cu. Feet Percent of National Total  

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

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

443

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

444

Million Cu. Feet Percent of National Total  

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

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

445

Million Cu. Feet Percent of National Total  

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

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

446

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

447

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

448

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

449

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

450

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

451

Million Cu. Feet Percent of National Total  

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

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

452

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

453

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

454

Million Cu. Feet Percent of National Total  

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

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

455

ARM - Measurement - Shortwave spectral total downwelling irradiance  

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

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

456

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

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

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

457

Total Supplemental Supply of Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

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

458

Total Natural Gas Gross Withdrawals (Summary)  

Gasoline and Diesel Fuel Update (EIA)

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

459

Million Cu. Feet Percent of National Total  

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

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

460

Total Synthesis of Irciniastatin A (Psymberin)  

E-Print Network [OSTI]

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

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


461

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION  

E-Print Network [OSTI]

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

Skogestad, Sigurd

462

U.S. Crude & Gasoline Stocks Low But Showing Signs of Recovering  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The current U.S. inventory levels for crude oil and gasoline stocks are low, but improved modestly in March. While crude oil inventories are still well below normal levels, they have increased about 10 million barrels since the end of January, despite the tight crude oil market. Gasoline stocks at the end of February had dropped about 5% below the low end of the normal range. But during March, they rose slightly, instead of dropping further as they normally would do. This allowed gasoline inventories to re-enter the low end of the normal band. While the inventory situation is improving, it remains low. With crude oil inventories still well below normal, and gasoline inventories on the low side of normal, we have little cushion to absorb unexpected events

463

SMA and MACD combinations for stock investment decisions in frontier markets: evidence from Dubai financial market  

Science Journals Connector (OSTI)

One of the most challenging financial decisions is when to buy and sell stocks. Frontier markets offer high profit opportunities but also have high risk. Consequently, technical analysis is used to assist in properly timing entry and exit points from stock trades. Previous research presented applications of technical analysis in developed and emerging markets since they, unlike frontier markets, exist in an environment of political stability, regulations, and liquidity. This paper shows how trade signals generated from Simple Moving Average (SMA) confirmed by Moving Average Convergence Divergence (MACD) can be used to minimise trading risk in frontier markets such as Dubai Financial Market (DFM). The results show that the standard time-periods for SMA and MACD do not apply well to frontier markets and that trade signals generated from SMA and confirmed by signals generated from medium to long-term MACD or vice versa result in excellent hit ratios.

Hazim El-Baz; Ibrahim Al Awadhi; Assia Lasfer

2013-01-01T23:59:59.000Z

464

Political geography and stock returns: The value and risk implications of proximity to political power  

Science Journals Connector (OSTI)

We show that political geography has a pervasive effect on the cross-section of stock returns. We collect election results over a 40-year period and use a political alignment index (PAI) of each state's leading politicians with the ruling (presidential) party to proxy for local firms’ proximity to political power. Firms whose headquarters are located in high PAI states outperform those located in low PAI states, both in terms of raw returns, and on a risk-adjusted basis. Overall, although we cannot rule out indirect political connectedness advantages as an explanation of the PAI effect, our results are consistent with the notion that proximity to political power has stock return implications because it reflects firms’ exposure to policy risk.

Chansog (Francis) Kim; Christos Pantzalis; Jung Chul Park

2012-01-01T23:59:59.000Z

465

How political risks and events have influenced Pakistan's stock markets from 1947 to the present  

Science Journals Connector (OSTI)

In this paper, we analyse Pakistan's political risks and events that have affected the country's stock markets since 1947. We collected data in the form of questionnaires from historians, economists, politicians, government officials, bankers and stock market analysts in Pakistan and make forecasts using Bayesian hierarchical modelling and Markov Chain Monte Carlo (MCMC) techniques. Findings show that the probability of an event in any year is relatively high with an average arrival rate of 1.5 events per year with no time trend. In addition, forecasts suggest that the level of political risk should be remaining unchanged for the foreseeable future. Finally, we find that Pakistan's political risk carries a risk premium of between 7.5% and 12%.

Omar Masood; Bruno S. Sergi

2008-01-01T23:59:59.000Z

466

Window-Related Energy Consumption in the US Residential andCommercial Building Stock  

SciTech Connect (OSTI)

We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate that future window technologies offer energy savings potentials of up to 3.9 Quads.

Apte, Joshua; Arasteh, Dariush

2006-06-16T23:59:59.000Z

467

Name Address Place Zip Sector Product Stock Symbol Year founded Number  

Open Energy Info (EERE)

Address Place Zip Sector Product Stock Symbol Year founded Number Address Place Zip Sector Product Stock Symbol Year founded Number of employees Number of employees Telephone number Website Coordinates Region ABS Alaskan Inc Van Horn Rd Fairbanks Alaska Gateway Solar Wind energy Marine and Hydrokinetic Solar PV Solar thermal Wind Hydro Small scale wind turbine up to kW and solar systems distributor http www absak com United States AER NY Kinetics LLC PO Box Entrance Avenue Ogdensburg Marine and Hydrokinetic United States AW Energy Lars Sonckin kaari Espoo FI Marine and Hydrokinetic http www aw energy com Finland AWS Ocean Energy formerly Oceanergia Redshank House Alness Point Business Park Alness Ross shire IV17 UP Marine and Hydrokinetic http www awsocean com United Kingdom Able Technologies Audubon Road Englewood Marine and Hydrokinetic http

468

Type II Transformation -Callus Initiation Media N6 1-100-25 +Ag Solution Substance []stock/MW Final Add ()  

E-Print Network [OSTI]

Type II Transformation - Callus Initiation Media N6 1-100-25 +Ag Solution Substance []stock25mm Petri Dishes in hood. 1L=30 plates. Dry lids on in hood 3days in darkness or quick cool upside

Raizada, Manish N.

469

Chapter 8 - An Econometric Analysis of the Impact of Oil Prices on Stock Markets in Gulf Cooperation Countries  

Science Journals Connector (OSTI)

Abstract This paper implements recent bootstrap panel cointegration techniques and Seemingly Unrelated Regression (SUR) methods to investigate the existence of a long-run relationship between oil prices and Gulf Cooperation Council (GCC) Countries stock markets. Since GCC countries are major world energy market players, their stock markets are likely to be susceptible to oil price shocks. Using two different (weekly and monthly) datasets covering, respectively, the periods from June 7, 2005 to October 21, 2008, and from January 1996 to December 2007, our investigation shows that there is evidence for cointegration of oil prices and stock markets in GCC countries, while the SUR results indicate that oil price increases have a positive impact on stock prices, except in Saudi Arabia.

Mohamed El Hedi Arouri; Christophe Rault

2014-01-01T23:59:59.000Z

470

Oil and stock market activity when prices go up and down: the case of the oil and gas industry  

Science Journals Connector (OSTI)

We examine the asymmetric effects of daily oil price changes on equity returns, market betas, oil betas, return variances, and trading volumes for the US oil and gas industry. The responses of stock returns assoc...

Sunil K. Mohanty; Aigbe Akhigbe…

2013-08-01T23:59:59.000Z

471

Multi-Attribute Choice Model: An Application of the Generalized Nested Logit Model at the Stock-Keeping Unit Level  

Science Journals Connector (OSTI)

This paper proposes an application of the generalized nested logit (GNL) model which is used in transportation science for product choice problems at the stock-keeping unit level. I explain two alternative nestin...

Kei Takahashi

2011-01-01T23:59:59.000Z

472

Evolution of stocks and massifs from burial of salt sheets, continental slope, northern Gulf of Mexico  

SciTech Connect (OSTI)

Salt structures in a 4000-km{sup 2} region of the continental slope, the northeast Green Canyon area, include stocks, massifs, remnant structures, and an allochthonous sheet. Salt-withdrawal basins include typical semicircular basins and an extensive linear trough that is largely salt-free. Counterregional growth faults truncate the landward margin of salt sheets that extend 30-50 km to the Sigsbee Escarpment. The withdrawal basins, stocks, and massifs occur within a large graben between an east-northeast-trending landward zone of shelf-margin growth faults and a parallel trend of counterregional growth faults located 48-64 km basinward. The graben formed by extension and subsidence as burial of the updip portion of a thick salt sheet produced massifs and stocks by downbuilding. Differential loading segmented the updip margin of the salt sheet into stocks and massifs separated by salt-withdrawal basins. Initially, low-relief structures evolved by trap-door growth as half-graben basins buried the salt sheet. Remnant-salt structures and a turtle-structure anticline overlay a salt-weld disconformity in sediments formerly separated by a salt sheet. Age of sediments below the weld is inferred to be be late Miocene to early Pliocene (4.6-5.3 Ma); age of sediments above the weld is late Pliocene (2.8-3.5 Ma). The missing interval of time (1-2.5 Ma) is the duration between emplacement of the salt sheet and burial of the sheet. Sheet extrusion began in the late Miocene to early Pliocene, and sheet burial began in the late Pliocene in the area of the submarine trough to early Pleistocene in the area of the massifs.

Seni, S.J. (Univ. of Texas, Austin (United States))

1991-03-01T23:59:59.000Z

473

The Language of the Stock Exchange – A Contrastive Analysis of the Lexis  

E-Print Network [OSTI]

Language of the Stock Exchange ... As to the structural aspect, a divergence had been expected of the following kind: SLO EN simple NP simple NP complex NP complex NP complex NP simple NP On the semantic level, an occasional discrepancy had been... anticipated between the meaning of a particular NP in isolation and that in a particular context (in differ- ent word combinations, most notably collocations), semantic tailoring being a feature of not only LGP (language for general purposes) but also LSP...

Božinovski, Biljana

2009-01-01T23:59:59.000Z

474

DOE/NBS (Department of Energy/National Bureau of Standards) forum on testing and rating procedures for consumer products, October 2-3, 1985. Final report  

SciTech Connect (OSTI)

One hundred thirty-four persons participated in a Forum on Testing and Rating Procedures for Consumer Products held at the National Bureau of Standards (NBS), Gaithersburg, Maryland, on October 2-3, 1985. The objectives of the forum, planned in cooperation with various industry associations, were: (1) to provide a line of communication between test procedure users and test-procedure developers; (2) to provide an opportunity for participants to present technical and research issues concerning Department of Energy (DOE) test procedures that need to be addressed; and (3) to assist DOE and NBS in establishing a future agenda for the development and/or revision of testing and rating procedures. The report summarizes discussions, conclusions and recommendations developed by the forum participants for the following consumer products: heat pumps and air conditioners; furnaces, boilers, and household heaters; water heaters; refrigerators, refrigerator-freezers and freezers.

Dikkers, R.D.

1986-07-01T23:59:59.000Z

475

Decision-Making Aid Tool for the Evaluation and Improvement of the Energy Performance of Stock of Buildings  

E-Print Network [OSTI]

, the simulation of buildings stock is possible starting from the definition of some standard buildings. SIMBAD (SIMulator of Building And Devices) is the first HVAC toolbox developed under the MATLAB/SIMULINK environment. This toolbox provides a large..., the simulation of buildings stock is possible starting from the definition of some standard buildings. SIMBAD (SIMulator of Building And Devices) is the first HVAC toolbox developed under the MATLAB/SIMULINK environment. This toolbox provides a large...

Joutey, H. A.; Vaezi-Nejad, H.; Lahrech, R.

2005-01-01T23:59:59.000Z

476

Million Cu. Feet Percent of National Total  

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

8 8 Illinois - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 45 51 50 40 40 Production (million cubic feet) Gross Withdrawals From Gas Wells E 1,188 E 1,438 E 1,697 2,114 2,125 From Oil Wells E 5 E 5 E 5 7 0 From Coalbed Wells E 0 E 0 0 0 0 From Shale Gas Wells 0

477

Million Cu. Feet Percent of National Total  

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

50 50 North Dakota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 194 196 188 239 211 Production (million cubic feet) Gross Withdrawals From Gas Wells 13,738 11,263 10,501 14,287 22,261 From Oil Wells 54,896 45,776 38,306 27,739 17,434 From Coalbed Wells 0

478

Million Cu. Feet Percent of National Total  

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

0 0 Mississippi - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 2,343 2,320 1,979 5,732 1,669 Production (million cubic feet) Gross Withdrawals From Gas Wells 331,673 337,168 387,026 429,829 404,457 From Oil Wells 7,542 8,934 8,714 8,159 43,421 From Coalbed Wells 7,250

479

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Virginia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 5,735 6,426 7,303 7,470 7,903 Production (million cubic feet) Gross Withdrawals From Gas Wells R 6,681 R 7,419 R 16,046 R 23,086 20,375 From Oil Wells 0 0 0 0 0 From Coalbed Wells R 86,275 R 101,567

480

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Michigan - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S24. Summary statistics for natural gas - Michigan, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 9,712 9,995 10,600 10,100 11,100 Production (million cubic feet) Gross Withdrawals From Gas Wells R 80,090 R 16,959 R 20,867 R 7,345 18,470 From Oil Wells 54,114 10,716 12,919 9,453 11,620 From Coalbed Wells 0

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


481

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Montana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,925 7,095 7,031 6,059 6,477 Production (million cubic feet) Gross Withdrawals From Gas Wells R 69,741 R 67,399 R 57,396 R 51,117 37,937 From Oil Wells 23,092 22,995 21,522 19,292 21,777 From Coalbed Wells

482

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Mississippi - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,315 2,343 2,320 1,979 5,732 Production (million cubic feet) Gross Withdrawals From Gas Wells R 259,001 R 331,673 R 337,168 R 387,026 429,829 From Oil Wells 6,203 7,542 8,934 8,714 8,159 From Coalbed Wells

483

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Indiana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,350 525 563 620 914 Production (million cubic feet) Gross Withdrawals From Gas Wells 3,606 4,701 4,927 6,802 9,075 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

484

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 New York - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,680 6,675 6,628 6,736 6,157 Production (million cubic feet) Gross Withdrawals From Gas Wells 54,232 49,607 44,273 35,163 30,495 From Oil Wells 710 714 576 650 629 From Coalbed Wells 0

485

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Texas - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 76,436 87,556 93,507 95,014 100,966 Production (million cubic feet) Gross Withdrawals From Gas Wells R 4,992,042 R 5,285,458 R 4,860,377 R 4,441,188 3,794,952 From Oil Wells 704,092 745,587 774,821 849,560 1,073,301

486

Million Cu. Feet Percent of National Total  

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

2 2 Ohio - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 34,416 34,963 34,931 46,717 35,104 Production (million cubic feet) Gross Withdrawals From Gas Wells 79,769 83,511 73,459 30,655 65,025 From Oil Wells 5,072 5,301 4,651 45,663 6,684 From Coalbed Wells 0

487

Million Cu. Feet Percent of National Total  

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

0 0 Colorado - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 25,716 27,021 28,813 30,101 32,000 Production (million cubic feet) Gross Withdrawals From Gas Wells 496,374 459,509 526,077 563,750 1,036,572 From Oil Wells 199,725 327,619 338,565

488

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 South Dakota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S43. Summary statistics for natural gas - South Dakota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 71 71 89 102 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 422 R 1,098 R 1,561 1,300 933 From Oil Wells 11,458 10,909 11,366 11,240 11,516 From Coalbed Wells 0 0

489

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Illinois - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 43 45 51 50 40 Production (million cubic feet) Gross Withdrawals From Gas Wells RE 1,389 RE 1,188 RE 1,438 RE 1,697 2,114 From Oil Wells E 5 E 5 E 5 E 5 7 From Coalbed Wells RE 0 RE

490

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Colorado - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 22,949 25,716 27,021 28,813 30,101 Production (million cubic feet) Gross Withdrawals From Gas Wells R 436,330 R 496,374 R 459,509 R 526,077 563,750 From Oil Wells 160,833 199,725 327,619

491

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Alaska - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 239 261 261 269 277 Production (million cubic feet) Gross Withdrawals From Gas Wells 165,624 150,483 137,639 127,417 112,268 From Oil Wells 3,313,666 3,265,401 3,174,747 3,069,683 3,050,654

492

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Ohio - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 34,416 34,416 34,963 34,931 46,717 Production (million cubic feet) Gross Withdrawals From Gas Wells R 82,812 R 79,769 R 83,511 R 73,459 30,655 From Oil Wells 5,268 5,072 5,301 4,651 45,663 From Coalbed Wells

493

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Kentucky - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S19. Summary statistics for natural gas - Kentucky, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 16,563 16,290 17,152 17,670 14,632 Production (million cubic feet) Gross Withdrawals From Gas Wells 95,437 R 112,587 R 111,782 133,521 122,578 From Oil Wells 0 1,529 1,518 1,809 1,665 From Coalbed Wells 0

494

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Utah - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 5,197 5,578 5,774 6,075 6,469 Production (million cubic feet) Gross Withdrawals From Gas Wells R 271,890 R 331,143 R 340,224 R 328,135 351,168 From Oil Wells 35,104 36,056 36,795 42,526 49,947 From Coalbed Wells

495

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 California - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S5. Summary statistics for natural gas - California, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 1,540 1,645 1,643 1,580 1,308 Production (million cubic feet) Gross Withdrawals From Gas Wells 93,249 91,460 82,288 73,017 63,902 From Oil Wells R 116,652 R 122,345 R 121,949 R 151,369 120,880

496

Million Cu. Feet Percent of National Total  

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

0 0 Utah - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 5,578 5,774 6,075 6,469 6,900 Production (million cubic feet) Gross Withdrawals From Gas Wells 331,143 340,224 328,135 351,168 402,899 From Oil Wells 36,056 36,795 42,526 49,947 31,440 From Coalbed Wells 74,399

497

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Louisiana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 18,145 19,213 18,860 19,137 21,235 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,261,539 R 1,288,559 R 1,100,007 R 911,967 883,712 From Oil Wells 106,303 61,663 58,037 63,638 68,505

498

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Oklahoma - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 38,364 41,921 43,600 44,000 41,238 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,583,356 R 1,452,148 R 1,413,759 R 1,140,111 1,281,794 From Oil Wells 35,186 153,227 92,467 210,492 104,703

499

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 New Mexico - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 42,644 44,241 44,784 44,748 32,302 Production (million cubic feet) Gross Withdrawals From Gas Wells R 657,593 R 732,483 R 682,334 R 616,134 556,024 From Oil Wells 227,352 211,496 223,493 238,580 252,326

500

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 West Virginia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S50. Summary statistics for natural gas - West Virginia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 48,215 49,364 50,602 52,498 56,813 Production (million cubic feet) Gross Withdrawals From Gas Wells R 189,968 R 191,444 R 192,896 R 151,401 167,113 From Oil Wells 701 0 0 0 0 From Coalbed Wells