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1

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

2

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

3

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

4

An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling...

5

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

6

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

7

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

8

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

9

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

10

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

11

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

12

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

13

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

14

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

15

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

16

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

17

An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

An Evaluation of the Total Cost of Ownership of Fuel Cell- Powered Material Handling Equipment Todd Ramsden National Renewable Energy Laboratory Technical Report NRELTP-5600-56408...

18

Poster presenter(s):_________________________________Evaluator:_________________ Electrical and Computer Engineering University of Minnesota  

E-Print Network [OSTI]

Poster presenter(s):_________________________________Evaluator:_________________ Electrical and Evaluation Final Poster Presentation Fall, 2012 Fill in the "score" with a number from 1 to 10 (10=best model? Score____ Comments: 7. Is the poster clear and visually interesting? Score____ Comments: TOTAL

Minnesota, University of

19

An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment  

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

Evaluation of the Total Cost Evaluation of the Total Cost of Ownership of Fuel Cell- Powered Material Handling Equipment Todd Ramsden National Renewable Energy Laboratory Technical Report NREL/TP-5600-56408 April 2013 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 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 An Evaluation of the Total Cost of Ownership of Fuel Cell- Powered Material Handling Equipment Todd Ramsden National Renewable Energy Laboratory Prepared under Task No. HT12.8610 Technical Report NREL/TP-5600-56408

20

Neurointerventional Treatment in Acute Stroke. Whom to Treat? (Endovascular Treatment for Acute Stroke: Utility of THRIVE Score and HIAT Score for Patient Selection)  

SciTech Connect (OSTI)

Purpose: Intra-arterial therapy (IAT) is used increasingly as a treatment option for acute stroke caused by central large vessel occlusions. Despite high rates of recanalization, the clinical outcome is highly variable. The authors evaluated the Houston IAT (HIAT) and the totaled health risks in vascular events (THRIVE) score, two predicting scores designed to identify patients likely to benefit from IAT. Methods: Fifty-two patients treated at the Stavanger University Hospital with IAT from May 2009 to June 2012 were included in this study. We combined the scores in an additional analysis. We also performed an additional analysis according to high age and evaluated the scores in respect of technical efficacy. Results: Fifty-two patients were evaluated by the THRIVE score and 51 by the HIAT score. We found a strong correlation between the level of predicted risk and the actual clinical outcome (THRIVE p = 0.002, HIAT p = 0.003). The correlations were limited to patients successfully recanalized and to patients <80 years. By combining the scores additional 14.3 % of the patients could be identified as poor candidates for IAT. Both scores were insufficient to identify patients with a good clinical outcome. Conclusions: Both scores showed a strong correlation to poor clinical outcome in patients <80 years. The specificity of the scores could be enhanced by combining them. Both scores were insufficient to identify patients with a good clinical outcome and showed no association to clinical outcome in patients aged {>=}80 years.

Fjetland, Lars, E-mail: lars.fjetland@lyse.net; Roy, Sumit, E-mail: sumit.roy@sus.no; Kurz, Kathinka D., E-mail: kathinka.dehli.kurz@sus.no [Stavanger University Hospital, Department of Radiology (Norway); Solbakken, Tore, E-mail: tore.solbakken@sus.no [Stavanger University Hospital, Department of Neurology (Norway)] [Stavanger University Hospital, Department of Neurology (Norway); Larsen, Jan Petter, E-mail: jan.petter.larsen@sus.no; Kurz, Martin W., E-mail: martin.kurz@sus.no [The Norwegian Center for Movement Disorders, Stavanger University Hospital (Norway)

2013-10-15T23:59:59.000Z

Note: This page contains sample records for the topic "total evaluation score" 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

Adult Football Helmet Ratings A total of 10 adult football helmet models were evaluated using the STAR evaluation system for  

E-Print Network [OSTI]

Adult Football Helmet Ratings May 2011 A total of 10 adult football helmet models were evaluated in this group #12;NR: Not Recommended Adams A2000 Pro Elite STAR Value: 1.700 Cost: $199.95 Adult Football Helmet Ratings May 2011 Note: Any player in any sport can sustain a head injury with even the very best

Lu, Chang

22

Accelerating the convergence of the total energy evaluation in density functional theory calculations  

E-Print Network [OSTI]

Accelerating the convergence of the total energy evaluation in density functional theory.1063/1.2821101 I. INTRODUCTION Density functional theory DFT ,1,2 one of the most widely used first functional theory OO-DFT B. Zhou and Y. A. Wang, J. Chem. Phys. 124, 081107 2006 is that the second

Wang, Yan Alexander

23

REGISTERED SCHOOLS ID TotalTeamScore  

E-Print Network [OSTI]

ProblemSolving Towers WindPower WriteIt,DoIt Hershey High School CY2 1 144 2 1 2 15 8 4 6 15 4 3 4 7 5 8 1 11 1 6 7 10 5

Hardy, Christopher R.

24

Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment  

SciTech Connect (OSTI)

This report discusses an analysis of the total cost of ownership of fuel cell-powered and traditional battery-powered material handling equipment (MHE, or more typically 'forklifts'). A number of fuel cell MHE deployments have received funding support from the federal government. Using data from these government co-funded deployments, DOE's National Renewable Energy Laboratory (NREL) has been evaluating the performance of fuel cells in material handling applications. NREL has assessed the total cost of ownership of fuel cell MHE and compared it to the cost of ownership of traditional battery-powered MHE. As part of its cost of ownership assessment, NREL looked at a range of costs associated with MHE operation, including the capital costs of battery and fuel cell systems, the cost of supporting infrastructure, maintenance costs, warehouse space costs, and labor costs. Considering all these costs, NREL found that fuel cell MHE can have a lower overall cost of ownership than comparable battery-powered MHE.

Ramsden, T.

2013-04-01T23:59:59.000Z

25

Total system performance assessment - 1995: An evaluation of the potential Yucca Mountain repository  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) is currently investigating the feasibility of permanently disposing the nation`s commercial high-level radioactive wastes (in the form of spent fuel from the over 100 electric power-generating nuclear reactors across the U.S.) and a portion of the defense high-level radioactive wastes (currently stored at federal facilities around the country) in the unsaturated tuffaceous rocks at Yucca Mountain, Nevada. Quantitative predictions based on the most current understanding of the processes and parameters potentially affecting the long-term behavior of the disposal system are used to assess the ability of the site and its associated engineered designs to meet regulatory objectives of the US NRC and the US EPA. The evaluation of the ability of the overall system to meet the performance objectives specified in the applicable regulatory standards has been termed total system performance assessment (TSPA). Total system performance assessments require the explicit quantification of the relevant processes and process interactions. In addition assessments are useful to help define the most significant processes, the information gaps and uncertainties and therefore the additional information required for more robust and defensible assessment of the overall performance. The aim of any total system performance assessment is to be as complete and reasonably conservative as possible and to assure that the descriptions of the predictive models and parameters are sufficient to ascertain their accuracy. Total system performance assessments evolve with time. Previous iterations of total system performance assessment of the Yucca Mountain site and associated engineered barriers have been conducted in 1991 and 1993.

Atkins, J.E.; Lee, J.H.; Lingineni, S.; Mishra, S; McNeish, J.A.; Sassani, D.C.; Sevougian, S.D.

1995-11-01T23:59:59.000Z

26

Total system performance assessment - 1995: An evaluation of the potential Yucca Mountain Repository  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) is currently investigating the feasibility of permanently disposing the nation`s commercial high-level radioactive wastes (in the form of spent fuel from the over 100 electric power-generating nuclear reactors across the U.S.) and a portion of the defense high-level radioactive wastes (currently stored at federal facilities around the country) in the unsaturated tuffaceous rocks at Yucca Mountain, Nevada. Quantitative predictions based on the most current understanding of the processes and parameters potentially affecting the long-term behavior of the disposal system are used to assess the ability of the site and its associated engineered designs to meet regulatory objectives set forward by the U.S. Nuclear Regulatory Commission (NRC) and the U.S. Environmental Protection Agency (EPA). The evaluation of the ability of the overall system to meet the performance objectives specified in the applicable regulatory standards has been termed total system performance assessment (TSPA). The aim of any total system performance assessment is to be as complete and reasonably conservative as possible and to assure that the descriptions of the predictive models and parameters are sufficient to ascertain their accuracy. Total system performance assessments evolve with time. As additional site and design information is generated, performance assessment analyses can be revised to become more representative of the expected conditions and remove some of the conservative assumptions necessitated by the incompleteness of site and design data. Previous iterations of total system performance assessment of the Yucca Mountain site and associated engineered barriers have been conducted in 1991 and 1993. These analyses have been documented in Barnard, Eslinger, Wilson and Andrews.

NONE

1995-11-01T23:59:59.000Z

27

General User Proposal Scores  

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

General User Proposal Scores General User Proposal Scores General User Proposal Scores Print Tuesday, 01 June 2010 10:34 Scoring Proposals are scored on a scale of 1 to 5, with 1 being the best score and 5 the worst. Reviewers are requested to use the following ranking schema: Must do High Priority Medium Priority Low priority Don't do Beam time is assigned based on each proposal's score in relation to all other proposals for a given beamline. For beamlines where beamtime requests exceed available beamtime, a cutoff score is assigned after which no beam time is allocated. proposal scores Beam Time Cutoff Scores for the Current Cycle The table below lists the percent of beam time shifts allocated/requested for each beamline, and the cutoff scores, below which no beam time was assigned.

28

Evaluation of Methods That Locate the Center of the Ankle for Computer-assisted Total Knee Arthroplasty  

E-Print Network [OSTI]

Evaluation of Methods That Locate the Center of the Ankle for Computer-assisted Total Knee of the mechanical axis, the center of the ankle, is unknown. In this study, we evaluated the accuracy, precision, objectivity, and speed of five anatomic methods and two kinematic methods for estimating the ankle center

Delp, Scott

29

Building Technologies Office: Commercial Building Energy Asset Score  

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

Energy Asset Score Energy Asset Score Photo of a laptop with energy asset score image on the screen The free online Asset Scoring Tool will generate a score based on inputs about the building envelope and buildling systems (heating, ventilation, cooling, lighting, and service hot water). Launch Energy Asset Score The U.S. Department of Energy (DOE) is developing a Commercial Building Energy Asset Score (Asset Score) program to allow building owners and managers to more accurately assess building energy performance. The Asset Score program will act as a national standard and will include the Commercial Building Energy Asset Scoring Tool (Asset Scoring Tool) to evaluate the physical characteristics and as-built energy efficiency of buildings. The Asset Scoring Tool will identify cost-effective energy efficient improvements that, if implemented, can reduce energy bills and potentially improve building asset value. View the Asset Score fact sheet for a brief overview of the program.

30

Score Fusion and Decision Fusion  

Science Journals Connector (OSTI)

Score fusion is a paradigm, which calculates similarity scores ... then combines the two scores according to a fusion formula, e.g., the overall score ... mean of the two modality scores. Decision fusion is a par...

2009-01-01T23:59:59.000Z

31

An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment  

Broader source: Energy.gov [DOE]

This report by NREL discusses an analysis of the total cost of ownership of fuel cell-powered and traditional battery-powered material handling equipment.

32

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

33

Relationship between standardized test improvement instruction and Stanford Nine Achievement Test scores.  

E-Print Network [OSTI]

??This study examined the relationship between standardized test instruction programs and Stanford Achievement Test Edition Nine scores. To examine this relationship, total basic skills scores… (more)

Marsh, Teresa R.

2004-01-01T23:59:59.000Z

34

Adult Football Helmet Ratings A total of 15 adult football helmet models that have been evaluated using the STAR evaluation  

E-Print Network [OSTI]

Adult Football Helmet Ratings May 2012 A total of 15 adult football helmet models that have been STAR Value: 0.434 Cost: $179.95 3 Stars: Good Adult Football Helmet Ratings May 2012 Xenith X1 STAR Stars: Adequate Helmet Ratings #12;Adult Football Helmet Ratings May 2011 Note: Any player in any sport

Lu, Chang

35

An evaluation of motor function in transverse colon transplants after total gastrectomy  

Science Journals Connector (OSTI)

The motor activity of the isolated colon is under- ... of the present study was to evaluate the motor activity of the interposed transverse colon following ... response to dry swallows, and swallowing distilled water

Erito Mochiki; Norihiro Haga; Takashi Hara; Yasuo Hosouchi…

1998-01-01T23:59:59.000Z

36

Information-Based Skill Scores for Probabilistic Forecasts  

Science Journals Connector (OSTI)

The information content, that is, the predictive capability, of a forecast system is often quantified with skill scores. This paper introduces two ranked mutual information skill (RMIS) scores, RMISO and RMISY, for the evaluation of probabilistic ...

Bodo Ahrens; André Walser

2008-01-01T23:59:59.000Z

37

Commercial Building Energy Asset Scoring Tool | Department of Energy  

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

Scoring Tool Scoring Tool Commercial Building Energy Asset Scoring Tool This Asset Scoring Tool will guide your data collection, store your building information, and generate Asset Scores and system evaluations for your building envelope and building systems. The Asset Scoring Tool will also identify cost-effective upgrade opportunities and help you gain insight into the energy efficiency potential of your building. Key Features The Asset Scoring Tool will generate an Asset Score Report that will provide: A whole-building energy efficiency score based on the building envelope and building systems (heating, ventilation, cooling, lighting and service hot water). An evaluation of the current building systems that identifies inefficient building systems A set of opportunities to save energy and money

38

Home Energy Score graphic  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Home Facts Score Air-tightness Air leakage rate 4,200 CFM50 Roof, attic & foundation Roof Roof construction Roof(Standard Roof): Composition Shingles or Metal: R-0 Roof...

39

Home Energy Score Program  

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

Home Energy Score Program Home Energy Score Program Peer Review April 3, 2013 Joan Glickman, US DOE Norm Bourassa, LBNL joan.glickman@ee.doe.gov, 202-586-5607 njbourassa@lbl.gov, 510-495-2677 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * Significant underinvestment in energy efficiency in residential sector * High costs of traditional energy audits and ratings * No standard method for understanding and comparing the energy efficiency

40

Home Energy Score Program  

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

Home Energy Score Program Home Energy Score Program Peer Review April 3, 2013 Joan Glickman, US DOE Norm Bourassa, LBNL joan.glickman@ee.doe.gov, 202-586-5607 njbourassa@lbl.gov, 510-495-2677 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * Significant underinvestment in energy efficiency in residential sector * High costs of traditional energy audits and ratings * No standard method for understanding and comparing the energy efficiency

Note: This page contains sample records for the topic "total evaluation score" 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

Home Energy Score Program Update and New Scoring Tool Release...  

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

and New Scoring Tool Release Webinar (Text Version) Home Energy Score Program Update and New Scoring Tool Release Webinar (Text Version) Below is the text-alternative version of...

42

An investigation of simplified loss formula evaluation of total and incremental power system losses  

E-Print Network [OSTI]

Program ~ a o o ~ o a o o o o e a o o 11 Incremental Transmission Loss Calculation . . . . . . o 13 The Transmission System ~ a ~ o o ~ ~ o o o o o o 14 IVa RESULTS e ~ o a ~ ~ a a ~ e a o a ~ e ~ o a o o o IQ V SUMMARY a o o o a ~ o ~ a o 0 o o o ~ 0..., 1 X II tf g tf ff tf lt 4 0o9 50/ System Load ? Per Cent of Peak 1o06 f 1. 05 0 Xo1. 04 0 e 5 1, 03 1. 02 Ir 5 F. 1o01 4 tI 1o0 III II 0. 99 5 FIGURE IVa Simplified Loss Formula Evaluation of Pen- alty Faotor ? Bus 1 All...

Malinowski, James Henry

1962-01-01T23:59:59.000Z

43

Home Energy Scoring Tool | Open Energy Information  

Open Energy Info (EERE)

Home Energy Scoring Tool Home Energy Scoring Tool Jump to: navigation, search Tool Summary Name: Home Energy Scoring Tool Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings - Residential Phase: Evaluate Effectiveness and Revise as Needed Topics: Resource assessment Resource Type: Online calculator User Interface: Website Website: www1.eere.energy.gov/buildings/homeenergyscore/ OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Home Energy Scoring Tool[1] Generate clear and credible home energy assessments; recommend customized upgrades and cost saving tips; compare the energy use of different homes The Home Energy Score allows a homeowner to compare her or his home's energy consumption to that of other homes, similar to a vehicle's

44

A method for evaluating bias in global measurements of CO{sub 2} total columns from space  

SciTech Connect (OSTI)

We describe a method of evaluating systematic errors in measurements of total column dry-air mole fractions of CO{sub 2} (X{sub CO{sub 2}} ) from space, and we illustrate the method by applying it to the Atmospheric CO{sub 2} Observations from Space retrievals of the Greenhouse Gases Observing Satellite (ACOS-GOSAT) v2.8. The approach exploits the lack of large gradients in X{sub CO{sub 2}} south of 25{degree}#14; S to identify large-scale offsets and other biases in the ACOS-GOSAT data with several retrieval parameters and errors in instrument calibration. We demonstrate the effectiveness of the method by comparing the ACOS-GOSAT data in the Northern Hemisphere with ground truth provided by the Total Carbon Column Observing Network (TCCON). We use the correlation between free-tropospheric temperature and X{sub CO{sub 2}} in the Northern Hemisphere to define a dynamically informed coincidence criterion between the ground-based TCCON measurements and the ACOS-GOSAT measurements. We illustrate that this approach provides larger sample sizes, hence giving a more robust comparison than one that simply uses time, latitude and longitude criteria. Our results show that the agreement with the TCCON data improves after accounting for the systematic errors. A preliminary evaluation of the improved v2.9 ACOS-GOSAT data is also discussed.

Wunch, D.; Wennberg, P. O.; Toon, G. C.; Connor, B. J.; Fisher, B.; Osterman, G. B.; Frankenberg, C.; Mandrake, L.; O?Dell, C.; Ahonen, P.; Biraud, S. C.; Castano, R.; Cressie, N.; Crisp, D.; Deutscher, N. M.; Eldering, A.; Fisher, M. L.; Griffith, D. W.T.; Gunson, M.; Heikkinen, P.; Keppel-Aleks, G.; Kyro, E.; Lindenmaier, R.; Macatangay, R.; Mendonca, J.; Messerschmidt, J.; Miller, C. E.; Morino, I.; Notholt, J.; Oyafuso, F. A.; Rettinger, M.; Robinson, J.; Roehl, C. M.; Salawitch, R. J.; Sherlock, V.; Strong, K.; Sussmann, R.; Tanaka, T.; Thompson, D. R.; Uchino, O.; Warneke, T.; Wofsy, S. C.

2011-08-01T23:59:59.000Z

45

Home Energy Score Pilot Summaries | Department of Energy  

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

Home Energy Score Pilot Summaries Home Energy Score Pilot Summaries Home Energy Score Pilot Summaries The U.S. Department of Energy (DOE) partnered with counties, utilities, and non-profit organizations ("Pilots") across the country to test and evaluate the Home Energy Score from November 2010 through July 2011. Through these Pilots, DOE tested a wide range of issues associated with the program and the associated software, the Home Energy Scoring Tool, including: How homeowners responded to the Home Energy Score and process Training of the home energy assessors and reaction to the Scoring Tool Methods to conduct Quality Assurance Climatic sensitivity of the Home Energy Scoring Tool The Pilots were spread out across varied climates, represented most U.S. regions, and included both urban and rural communities. DOE and the Pilots

46

Evaluation of mentum deformities of Chironomus spp. (Chironomidae: Diptera) larvae using modified toxic score index (MTSI) to assess the environmental stress in Juru River Basin, Penang, Malaysia  

Science Journals Connector (OSTI)

Morphological mentum deformities which represent sublethal effect of exposure to different types of pollutants were evaluated in Chironomus spp. larvae inhabiting three polluted rivers of Juru River Basin in nort...

Salman Abdo Al-Shami; Mad Rawi Che Salmah…

2011-06-01T23:59:59.000Z

47

Commercial Building Energy Asset Scoring Tool Application Programming Interface  

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

Commercial Building Energy Asset Scoring Tool Commercial Building Energy Asset Scoring Tool Application Programming Interface NORA WANG GEOFF ELLIOTT JUSTIN ALMQUIST EDWARD ELLIS Pacific Northwest National Laboratory JUNE 14, 2013 Commercial Building Energy Asset Score Energy asset score evaluates the as- built physical characteristics of a building Energy Asset Score and its overall energy efficiency, independent of occupancy and operational choices. The physical characteristics include Building envelope (window, wall, roof) HVAC systems (heating, cooling, air distribution) Lighting system (luminaire and lighting control systems) Service hot water system Other major energy-using equipment (e.g. commercial refrigerator, commercial kitchen appliances, etc.) Building energy use is affected by many factors.

48

SU?E?T?322: Evaluation of Total Body Irradiation Technique Using 20 Diodes In?Vivo Dosimetry System  

Science Journals Connector (OSTI)

Purpose: To evaluate a new Total Body Irradiation (TBI) technique using CT planning by 20 diodes real time in?vivo dosimetry system.Material and Methods: TBI treatment is typically performed at extended SSD ( 3 to 4 meters) under high energy x?rays (6 MV). Lateral treatment results in a more convenient setup but less dose uniformity as compared with AP/PA treatment. This study evaluated a new TBI treatment which is performed at 2 meter distance AP/PA. Matched oblique field plan was created by Eclipse TPS with CT simulated data from PIXY phantom; using MLC for lung blocking. Field in Field technique was applied to improve dose uniformity. A steel attenuator with transmission factor 0.55 for 6MV photon field is used to reduce dose rate to 5–20 cGy/min while a 5mm thick Lexan sheet is placed about 20 cm above patient to increase skin dose. Patients will lay supine and prone on a movable bed. Three AP and PA fields were used to deliver prescribed dose. A 20?diodes SunNuclear in?vivo dosimetry system was used for monitoring dose at different sites. Diodes were calibrated with attenuator to accommodate energy spectrum change. SSD dose rate angular dependence of diodes were measured. RadCalc MU verification software was also tested for agreement with TPS and measured data. Results: Attenuator could reduce the dose rate to about 13 cGy/min. By averaging the entrance and exit reading the doses at patients anatomical mid?line were measured and found to have good agreement with TPS (within 7% difference). Two dry?runs have demonstrated that the TBI plan can achieve and intended dose uniformity better than 10%. The RadCalc verification program agreed with TPS on average within 3%. Conclusion: CT?image based and TPS generated TBI plan is feasible. Diodes are suitable for both the TBI technique testing and dose monitoring.

2013-01-01T23:59:59.000Z

49

Home Energy Score Sample Report  

Broader source: Energy.gov [DOE]

The Home Energy Score is a national rating system developed by the U.S. Department of Energy. The Score reflects the energy efficiency of a home based on the home’s structure and heating, cooling, and hot water systems. The Home Facts provide details about the current structure and systems. Recommendations show how to improve the energy efficiency of the home to achieve a higher score and save money.

50

Home Energy Score FAQs for Partners  

Energy Savers [EERE]

What types of homes can get a Home Energy Score? Where is the Home Energy Score offered? Who can become a Home Energy Score Partner? Why should I become a Home Energy Score...

51

Home Energy Score FAQs for Homeowners  

Energy Savers [EERE]

Why should I get a Home Energy Score? What types of homes can get a Home Energy Score? How do I get a Home Energy Score? What does the Assessor look for during a Home Energy Score...

52

Commercial Building Energy Asset Score Features | Department of Energy  

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

Score Score Features Commercial Building Energy Asset Score Features The Asset Scoring Tool evaluates buildings by use type. The initial version of the Asset Scoring Tool included: office, school, retail, and unrefrigerated warehouse buildings. Phase II currently under development, which will be used for the 2013 Pilot, includes library, lodging, multi-family housing, and courthouse buildings, as well as mixed-use types of buildings that incorporate Phase I and II. You can enter small and large commercial buildings, and an Asset Score will be equally applicable to new and existing buildings. Inputs You can enter these building characteristics: General information-number of floors, footprint dimension, orientation, and use type Envelope components-roof, exterior wall, and floor types and

53

Commercial Building Energy Asset Score Sample Report  

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

COMMERCIAL BUILDING COMMERCIAL BUILDING ENERGY ASSET SCORE 1 SUMMARY BUILDING INFORMATION Example Building 2000 A St., Chicago, IL 60601 Building Type: Mixed-Use Gross Floor Area: 140,000 ft 2 Year Built: 2005 Office: 100,000 ft 2 Retail: 40,000 ft 2 Report #: IL-1234567 Score Date: 02/2013 Building ID #: XXXXX ASSET SCORE DATA LEVEL: ¨ Simple Score ¨ Advanced Score ¨ Verified Advanced Score Current Score Potential Score BUILDING USE TYPES: This report includes a Score for the entire building as well as individual Scores for each of the separate use types. CONTENTS BUILDING ASSET SCORE: * Summary.......................................................... Page 1 * Score................................................................ Pages 2-4 * Upgrade Opportunities

54

ENERGY STAR Score for Warehouses  

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

Warehouses in the United States Page 1 Warehouses in the United States Page 1 ENERGY STAR Score for Warehouses in the United States Technical Reference OVERVIEW The ENERGY STAR Score for warehouses applies to unrefrigerated or refrigerated buildings that are used to store goods, manufactured products, merchandise or raw materials. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and business activities at the property. To identify the aspects of building activity that are significant drivers of energy use and then normalize for those factors, a statistical analysis of the peer building population is

55

Commercial Building Energy Asset Score Program  

Broader source: Energy.gov [DOE]

Fact sheet summarizing the Building Technologies Program's commercial building energy asset score program

56

Building Technologies Office: Home Energy Score  

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

Energy Score Energy Score The Home Energy Score is similar to a vehicle's mile-per-gallon rating. The Home Energy Score allows homeowners to compare the energy performance of their homes to other homes nationwide. It also provides homeowners with suggestions for improving their homes' efficiency. The process starts with a Home Energy Score Qualified Assessor collecting energy information during a brief home walk-through. Using the Home Energy Scoring Tool, developed by the Lawrence Berkeley National Laboratory, the Qualified Assessor then scores the home on a scale of 1 to 10. A score of 10 indicates that the home has excellent energy performance. A score of 1 indicates the home needs extensive energy improvements. In addition to providing the Score, the Qualified Assessor provides the homeowner with a list of recommended energy improvements and the associated cost savings estimates.

57

Home Energy Score | Department of Energy  

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

Residential Buildings » Home Energy Score Residential Buildings » Home Energy Score Home Energy Score The Home Energy Score is similar to a vehicle's mile-per-gallon rating. The Home Energy Score allows homeowners to compare the energy performance of their homes to other homes nationwide. It also provides homeowners with suggestions for improving their homes' efficiency. The process starts with a Home Energy Score Qualified Assessor collecting energy information during a brief home walk-through. Using the Home Energy Scoring Tool, developed by the Lawrence Berkeley National Laboratory, the Qualified Assessor then scores the home on a scale of 1 to 10. A score of 10 indicates that the home has excellent energy performance. A score of 1 indicates the home needs extensive energy improvements. In addition to

58

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

59

Building Technologies Office: Home Energy Score  

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

Home Energy Score to Home Energy Score to someone by E-mail Share Building Technologies Office: Home Energy Score on Facebook Tweet about Building Technologies Office: Home Energy Score on Twitter Bookmark Building Technologies Office: Home Energy Score on Google Bookmark Building Technologies Office: Home Energy Score on Delicious Rank Building Technologies Office: Home Energy Score on Digg Find More places to share Building Technologies Office: Home Energy Score on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals Technology Research, Standards, & Codes

60

Home Energy Score Partners | Department of Energy  

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

Residential Buildings » Home Energy Score » Home Energy Score Residential Buildings » Home Energy Score » Home Energy Score Partners Home Energy Score Partners Home Energy Score Partners The U.S. Department of Energy (DOE) is partnering with state and local governments, utilities, and non-profit organizations across the country to make the Home Energy Score widely available to homeowners. Current partners, along with descriptions of their residential energy efficiency efforts, can be found by clicking on this interactive map. To become a Home Energy Score Partner, an organization must score a minimum of 200 homes in the first year, and provide quality assurance by rescoring 5% of these homes. Organizations interested in becoming a Partner can contact the program via email at homeenergyscore@ee.doe.gov. You can find frequently asked questions for partners on the Frequently

Note: This page contains sample records for the topic "total evaluation score" 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

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.

62

Home Energy Score Data Collection Sheet  

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

Energy Score - Data Collection 1 Energy Score - Data Collection 1 Revised 6/12/2013 Home Energy Scoring Tool Data Collection Sheet Location Information Address: ________________________________ City: ________________ State: _____ Zip: ______ Assessment Type: Initial / Test / Corrected / QA / Alternative EEM (Energy Efficiency Measures) / Final Assessment Date: _________________ Qualified Assessor: ______________________________ Comments: ________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________ __________________________________________________________________________________

63

Building Technologies Office: Home Energy Score Publications  

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

Publications to someone by E-mail Publications to someone by E-mail Share Building Technologies Office: Home Energy Score Publications on Facebook Tweet about Building Technologies Office: Home Energy Score Publications on Twitter Bookmark Building Technologies Office: Home Energy Score Publications on Google Bookmark Building Technologies Office: Home Energy Score Publications on Delicious Rank Building Technologies Office: Home Energy Score Publications on Digg Find More places to share Building Technologies Office: Home Energy Score Publications on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home

64

Building Technologies Office: Home Energy Score Partners  

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

Partners to someone by E-mail Partners to someone by E-mail Share Building Technologies Office: Home Energy Score Partners on Facebook Tweet about Building Technologies Office: Home Energy Score Partners on Twitter Bookmark Building Technologies Office: Home Energy Score Partners on Google Bookmark Building Technologies Office: Home Energy Score Partners on Delicious Rank Building Technologies Office: Home Energy Score Partners on Digg Find More places to share Building Technologies Office: Home Energy Score Partners on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals

65

A User's Guide To BRILLIANT! TEST SCORING AND ITEM ANALYSIS  

E-Print Network [OSTI]

A User's Guide To BRILLIANT! TEST SCORING AND ITEM ANALYSIS August, 2008 Program Brilliant!: Test ....................................................................................................2 Test Scoring Enhancements.............................................................................................................................................................2 Scoring different test forms

66

Asset Score API Webinar June 14, 2013 | Department of Energy  

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

Asset Score API Webinar June 14, 2013 Asset Score API Webinar June 14, 2013 assetscoreapiwebinar061413.wmv More Documents & Publications Commercial Building Energy Asset Score...

67

Commercial Building Energy Asset Score Sample Report | Department...  

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

Score Sample Report Commercial Building Energy Asset Score Sample Report Example report showing the results of an energy asset score rating on a building energyassetscoresample...

68

ENERGY STAR Score for Wastewater Treatment Plants  

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

!! !! July 2013 ENERGY STAR Score for Wastewater Treatment Plants in the United States Page 1 ENERGY STAR Score for Wastewater Treatment Plants in the United States Technical Reference OVERVIEW ! The ENERGY STAR Score for Wastewater Treatment Plants applies to primary, secondary, and advanced treatment facilities with or without nutrient removal capacity. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and business activities at the property. To identify the aspects of building activity that are significant drivers of energy

69

Home Energy Score API User: Spirit Foundation  

Broader source: Energy.gov [DOE]

The Spirit Foundation, a 501(c)(3) organization and Home Energy Score Partner, assists veterans and wounded heroes in sustainable careers. The Spirit Foundation offers Assessor training,...

70

Boosting Native American students' math scores  

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

math scores Professional development opportunities for teachers provide essential foundation May 5, 2014 Mara Herrera teaches a young student at San Felipe Pueblo Elementary...

71

Building Energy Asset Score Frequently Asked Questions  

Broader source: Energy.gov [DOE]

This page features answers to the most frequently asked questions about the Building Energy Asset Score. Choose from the list of questions below to learn more:

72

Energy Performance Score Report | Department of Energy  

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

Report, from the U.S. Department of Energy's Better Buildings Neighborhood Program. epsreportsample.pdf More Documents & Publications Home Energy Score Sample Report Be a...

73

Commercial Building Energy Asset Score Program Development |...  

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

establish a scoring system, such as data centers, food sales, food service, laboratories, health-care facilities, refrigerated warehouses, and so on. The Program Overview and...

74

ENERGY STAR Score for Senior Care Communities  

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

Senior Care Communities in the United States Page 1 Senior Care Communities in the United States Page 1 ENERGY STAR Score for Senior Care Communities in the United States Technical Reference OVERVIEW The ENERGY STAR Score for Senior Care Communities applies to buildings that house and provide care and assistance for elderly residents. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and business activities at the property. To identify the aspects of building activity that are significant drivers of energy use and then

75

Home Energy Score: Frequently Asked Questions for Homeowners | Department  

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

Homeowners Homeowners Home Energy Score: Frequently Asked Questions for Homeowners Below you will find answers to frequently asked questions for homeowners about the Home Energy Score, from basics such as what a Home Energy Score is, to how the Score is calculated and what you can expect from your Score. What is a Home Energy Score? Why should I get a Home Energy Score? What types of homes can get a Home Energy Score? How do I get a Home Energy Score? What does the Qualified Assessor look for during a Home Energy Score walk-through? How is the Home Energy Score calculated? Does a home with a poor (lower) Score always use more energy than a home with a better (higher) Score? Does the size of my home matter? Would my Score be the same in different parts of the country?

76

Home Energy Score: Information for Homeowners  

Broader source: Energy.gov [DOE]

The Home Energy Score is a quick, low-cost way for you to find out how your home's energy performance stacks up compared to others in the area. It also provides homeowners with recommendations for...

77

Home Energy Score Frequently Asked Questions | Department of Energy  

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

Residential Buildings » Home Energy Score » Home Energy Score Residential Buildings » Home Energy Score » Home Energy Score Frequently Asked Questions Home Energy Score Frequently Asked Questions Below you will find answers to frequently asked questions for homeowners and Partners about the Home Energy Score, from basics such as what a Home Energy Score is and how to become a Partner, to how the Score is calculated and what you can expect from your Score. Frequently Asked Questions for Homeowners (download a printable PDF) Frequently Asked Questions for Partners (download a printable PDF) Highlights Home Energy Scores Completed As of January 7, 2014 Webinars Past Webinars Orange Arrow Home Energy Score Program Update Home Energy Score Pilot Analysis Post-Pilot Update Publications Motivating Home Energy Improvements

78

Home Energy Score: Frequently Asked Questions for Homeowners  

Broader source: Energy.gov [DOE]

Below you will find answers to frequently asked questions for homeowners about the Home Energy Score, from basics such as what a Home Energy Score is, to how the Score is calculated and what you...

79

ENERGY STAR Score for Data Centers  

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

Data Centers in the United States Page 1 Data Centers in the United States Page 1 ENERGY STAR Score for Data Centers in the United States Technical Reference OVERVIEW The ENERGY STAR Score for Data Centers applies to spaces specifically designed and equipped to meet the needs of high density computing equipment such as server racks, used for data storage and processing. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and business activities at the property. To identify the aspects of building activity that are significant drivers of energy use and then normalize for those factors, a statistical analysis of

80

Commercial Building Energy Asset Score System: Program Overview and Technical Protocol (Version 1.0)  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) is developing a national voluntary energy asset score system that includes an energy asset score tool to help building owners evaluate their buildings with respect to the score system. The goal of the energy asset score system is to facilitate cost-effective investment in energy efficiency improvements of commercial buildings. The system will allow building owners and managers to compare their building infrastructure against peers and track building upgrade progress over time. The system can also help other building stakeholders (e.g., building operators, tenants, financiers, and appraisers) understand the relative efficiency of different buildings in a way that is independent from their operations and occupancy. This report outlines the technical protocol used to generate the energy asset score, explains the scoring methodology, and provides additional details regarding the energy asset score tool. This report also describes alternative methods that were considered prior to developing the current approach. Finally, this report describes a few features of the program where alternative approaches are still under evaluation.

Wang, Na; Gorrissen, Willy J.

2013-01-11T23:59:59.000Z

Note: This page contains sample records for the topic "total evaluation score" 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

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...

82

Home Energy Score Update Webinar Slides  

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

eere.energy.gov eere.energy.gov Home Energy Score Webinar Joan Glickman November 17, 2010 $ SAVINGS JOBS JOBS 2 eere.energy.gov Recovery thru Retrofit: Identified 3 Major Market Barriers Consumer Information Consumers do not have access to straightforward and reliable information. Financing Homeowners need access to financing to pursue investments in energy efficiency. Worker Certification & Training Consumers and industry want access to consistent workforce standards and a national certification. 3 eere.energy.gov Helping Address the Information Barrier: Home Energy Score What is it? - Standard method for quickly assessing a a home's major energy systems and envelope - Allows comparison between homes regardless of location in U.S.

83

Generalized score tests for missing covariate data  

E-Print Network [OSTI]

. Tosteson and Tsiatis (1988) studied three score tests and their relative efficiency in a generalized linear model with surrogate covariates. We may follow Tosteson and Tsiatis (1988) to study efficiency issue of generalized score tests in the missing data...?. As in Tosteson & Tsiatis (1988), the asymptotic relative efficiency of TGS to T?GS = TGS(pi,??) is ARE(TGS,T?GS) = G/G? whereGandG? are the non-centrality parameters forTGS andT?GS under the sequence of alternatives ?(n)2 . Lemma 3.2.2. When the selection...

Jin, Lei

2009-05-15T23:59:59.000Z

84

Energy Department Updates Home Energy Scoring Tool for Advancing...  

Energy Savers [EERE]

Energy Department Updates Home Energy Scoring Tool for Advancing Residential Energy Performance Energy Department Updates Home Energy Scoring Tool for Advancing Residential Energy...

85

Commercial Building Energy Asset Score 2013 Pilot | Department...  

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

participation. assetscorepilotoverviewwebinar061713.wmv More Documents & Publications Commercial Building Energy Asset Score 2013 Pilot Asset Score API Webinar June 14, 2013...

86

Commercial Building Energy Asset Score Tool Report | Department of Energy  

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

Score Tool Score Tool Report Commercial Building Energy Asset Score Tool Report Energy Asset Score Report The Energy Asset Score report will be comprised of four sections: Current Asset Score-The source EUI is obtained by performing the whole-building energy simulation using the asset scoring tool; the modeled source EUI is adjusted to account for local climate; the adjusted EUI is compared to a fixed scale to obtain an asset score of 1 to 100. An asset score of 100 represents an ultra-efficient building; a score of 1 represents a very inefficient building in the current commercial building stock. After a building upgrade package is identified, the energy asset scoring tool will calculate the potential energy use after upgrades using standard operating conditions (by use types).

87

Home Energy Score Interactive Graphic | Department of Energy  

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

Home Energy Score Interactive Graphic Home Energy Score Interactive Graphic Home Energy Score Interactive Graphic The Home Energy Score is similar to a vehicle's mile-per-gallon rating. The Home Energy Score allows homeowners to compare the energy performance of their homes to other homes nationwide. It also provides homeowners with suggestions for improving their homes' efficiency. The process starts with a Home Energy Score Qualified Assessor collecting energy information during a brief home walk-through. Using the Home Energy Scoring Tool, the Qualified Assessor then scores the home on a scale of 1 to 10, with a score of 10 indicating that the home has excellent energy performance. A score of 1 indicates the home needs extensive energy improvements. In addition to providing the Score, the Qualified Assessor

88

Home Energy Score: Frequently Asked Questions for Partners | Department of  

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

Partners Partners Home Energy Score: Frequently Asked Questions for Partners Below you will find answers to frequently asked questions for homeowners and Partners about the Home Energy Score, from basics such as what a Home Energy Score is and how to become a Partner, to how the Score is calculated. What is a Home Energy Score? What types of homes can get a Home Energy Score? Where is the Home Energy Score offered? Who can become a Home Energy Score Partner? Why should I become a Home Energy Score Partner? What is required of Partners? Partners have to score 200 homes in the first year. When does that start/end? How do I apply to become a Partner? Can the Home Energy Scoring Tool be integrated with other software tools we already use? What are the criteria for Qualified Assessors?

89

GROUPS SENSITIVITY SCORE Flat worms 3  

E-Print Network [OSTI]

GROUPS SENSITIVITY SCORE Flat worms 3 Worms 3 Leeches 2 Crabs or shrimps 7 Stoneflies 14 Minnow The best sites are those with rocks in moving water. Not all sites have rocks (rocky type rivers), but may rocky, sandy, and vegetation habitats, not all habitats are always present at a site. If your river does

de Villiers, Marienne

90

NREL Develops Method to Evaluate Accuracy of Home Energy Scoring...  

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

Using data from existing homes, NREL researchers boost the accuracy of the new software tool. Analysts, home energy rating providers, and home performance contractors commonly use...

91

DOE Commercial Building Energy Asset Score Web Service (Draft)  

SciTech Connect (OSTI)

Documentation of the DOE Commercial Building Energy Asset Score application programming interface (API).

Elliott, Geoffrey; Wang, Na

2013-09-30T23:59:59.000Z

92

Home Energy Score Research and Background | Department of Energy  

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

Residential Buildings » Home Energy Score » Home Energy Score Residential Buildings » Home Energy Score » Home Energy Score Research and Background Home Energy Score Research and Background Scoring Tool v.2014 In January 2014, the U.S. Department of Energy (DOE) released the first major update to the Home Energy Scoring Tool. After more than a year of implementation and feedback from program Partners, DOE made significant improvements to the scoring tool's calculation methodology and user interface. A newly refined scoring system will allow inefficient homes to more easily move up the scale with investments in efficiency improvements. This enhanced mobility is expected to help motivate greater action among homeowners. The Energy Department's National Renewable Energy Laboratory (NREL) performed a variety of analyses to test the updated scoring tool. Analysis

93

DOE Solar Decathlon: 2009 Contests and Scoring  

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

women switching out team name plates on a large sign labeled "Leaderboard." women switching out team name plates on a large sign labeled "Leaderboard." Solar Decathlon organizers update the solar village leaderboard with the latest standings. Solar Decathlon 2009 Contests and Scoring Just like the well-known Olympic decathlon, the Solar Decathlon consists of 10 contests that center on all of the ways in which we use energy in our daily lives. Here you'll find information about the 10 contests and how they were scored. To compete, the teams must design and build energy-efficient homes that are powered exclusively by the sun. The houses are required to: Be attractive and easy to live in Maintain comfortable and healthy indoor environmental conditions Feature appealing and adequate lighting Supply energy to household appliances for cooking and cleaning

94

Home Energy Score Publications | Department of Energy  

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

Publications Publications Home Energy Score Publications The U.S. Department of Energy (DOE) sponsored a variety of research and analyses to guide development of the Home Energy Score. DOE also considered research on homeowner motivation, labeling programs, and other related topics. Below are links to some of these documents as well as other useful information. See also: Research and Background Calculation Methodology Be a Smart and Engaged Homeowner Prepared by the Office of Energy Efficiency and Renewable Energy This report summarizes what you need to know when considering home energy improvements. Motivating Home Energy Improvements Prepared by Newport Partners, LLC This report summarizes findings from 12 focus groups conducted in summer 2010 concerning home energy labeling.

95

ActiveGreenScore | Open Energy Information  

Open Energy Info (EERE)

ActiveGreenScore ActiveGreenScore Jump to: navigation, search Tool Summary Name: ActiveGreenScore Agency/Company /Organization: Boston Cleanweb Hackathon Sector: Climate Focus Area: Transportation Resource Type: Application prototype User Interface: Mobile Device Website: hackerleague.org/hackathons/boston-cleanweb-hackathon/hacks/activegree Cost: Free OpenEI Keyword(s): Cleanweb Hackathon, Boston, Community Generated Coordinates: 42.3490737°, -71.0481764° 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":42.3490737,"lon":-71.0481764,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

96

Building Technologies Office: Home Energy Score Frequently Asked Questions  

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

Home Energy Score Home Energy Score Frequently Asked Questions to someone by E-mail Share Building Technologies Office: Home Energy Score Frequently Asked Questions on Facebook Tweet about Building Technologies Office: Home Energy Score Frequently Asked Questions on Twitter Bookmark Building Technologies Office: Home Energy Score Frequently Asked Questions on Google Bookmark Building Technologies Office: Home Energy Score Frequently Asked Questions on Delicious Rank Building Technologies Office: Home Energy Score Frequently Asked Questions on Digg Find More places to share Building Technologies Office: Home Energy Score Frequently Asked Questions on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved

97

Home Energy Score Calculation Methodology | Department of Energy  

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

Home Energy Score Calculation Methodology Home Energy Score Calculation Methodology Home Energy Score Calculation Methodology A Qualified Assessor calculates the Home Energy Score by first conducting a brief walk-through of the home and collecting approximately 40 data points. Next, the Qualified Assessor uses the Home Energy Scoring Tool to estimate the home's energy use. The Scoring Tool converts it into a Score and develops recommendations for energy improvements. All the data required to calculate the Home Energy Score is listed in the Data Collection Sheet. The calculation method holds a number of variables constant. For example, it assumes, that the thermostat is set at specific levels at various points of the year, and that homeowners use appliances in a standard way. By holding these other variables constant, the Home Energy Score allows

98

Building Technologies Office: Commercial Building Energy Asset Score  

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

Program Development to someone by E-mail Program Development to someone by E-mail Share Building Technologies Office: Commercial Building Energy Asset Score Program Development on Facebook Tweet about Building Technologies Office: Commercial Building Energy Asset Score Program Development on Twitter Bookmark Building Technologies Office: Commercial Building Energy Asset Score Program Development on Google Bookmark Building Technologies Office: Commercial Building Energy Asset Score Program Development on Delicious Rank Building Technologies Office: Commercial Building Energy Asset Score Program Development on Digg Find More places to share Building Technologies Office: Commercial Building Energy Asset Score Program Development on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator

99

An automated scoring system for educational testing  

E-Print Network [OSTI]

accurately and quickly. . . . Unless the whole program is care- fully planned, there is danger that the scoring of tests will be allowed to drag over a period of several months until the faculty and administration, as well as the students, have , 3 lost... for Develop- ment of Computer Test Grading and Computer Naintained Course Gradebook", p. l. 3 Grossman, Alvin and Howe, Robert L. , Data Processin for Educators, pp. 152-153. 4 Op. cit. , Hedges and Hope, p. 2. Associate Professor of Chemistry. When...

Verret, Erik Phillip

2012-06-07T23:59:59.000Z

100

Building Technologies Office: Home Energy Score Past Webinars and Video  

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

Score Past Score Past Webinars and Video Spotlights to someone by E-mail Share Building Technologies Office: Home Energy Score Past Webinars and Video Spotlights on Facebook Tweet about Building Technologies Office: Home Energy Score Past Webinars and Video Spotlights on Twitter Bookmark Building Technologies Office: Home Energy Score Past Webinars and Video Spotlights on Google Bookmark Building Technologies Office: Home Energy Score Past Webinars and Video Spotlights on Delicious Rank Building Technologies Office: Home Energy Score Past Webinars and Video Spotlights on Digg Find More places to share Building Technologies Office: Home Energy Score Past Webinars and Video Spotlights on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon

Note: This page contains sample records for the topic "total evaluation score" 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

Building Technologies Office: Get Involved with Home Energy Score  

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

Get Involved with Home Get Involved with Home Energy Score to someone by E-mail Share Building Technologies Office: Get Involved with Home Energy Score on Facebook Tweet about Building Technologies Office: Get Involved with Home Energy Score on Twitter Bookmark Building Technologies Office: Get Involved with Home Energy Score on Google Bookmark Building Technologies Office: Get Involved with Home Energy Score on Delicious Rank Building Technologies Office: Get Involved with Home Energy Score on Digg Find More places to share Building Technologies Office: Get Involved with Home Energy Score on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR

102

Building Technologies Office: Commercial Building Energy Asset Scoring Tool  

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

Scoring Tool to someone by E-mail Scoring Tool to someone by E-mail Share Building Technologies Office: Commercial Building Energy Asset Scoring Tool on Facebook Tweet about Building Technologies Office: Commercial Building Energy Asset Scoring Tool on Twitter Bookmark Building Technologies Office: Commercial Building Energy Asset Scoring Tool on Google Bookmark Building Technologies Office: Commercial Building Energy Asset Scoring Tool on Delicious Rank Building Technologies Office: Commercial Building Energy Asset Scoring Tool on Digg Find More places to share Building Technologies Office: Commercial Building Energy Asset Scoring Tool on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides Building Energy Data Exchange Specification

103

Get Involved with Home Energy Score | Department of Energy  

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

Residential Buildings » Home Energy Score » Get Involved with Residential Buildings » Home Energy Score » Get Involved with Home Energy Score Get Involved with Home Energy Score The Department of Energy's (DOE) Home Energy Score helps homeowners understand the energy performance of their homes and how they compare to other homes nationwide. Energy professionals and organizations can use the Score to promote energy efficiency to homeowners and encourage investments in energy improvements. Information for Homeowners Information for Interested Organizations Information for Interested Assessors Highlights Home Energy Scoring Tool Updated Home Energy Scoring Tool v.2014 features improved calculation methodology, user interface and mobility on the 10-point scale. Visit the Research and Background webpage and DOE's Progress Alert to learn more.

104

Commercial Building Energy Asset Score Frequently Asked Questions |  

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

Frequently Asked Questions Frequently Asked Questions Commercial Building Energy Asset Score Frequently Asked Questions The U.S. Department of Energy's (DOE) Commercial Building Energy Asset Score program has received numerous questions from building owners and operators, state and local governments, realtors, and other stakeholders interested in learning more about the Commercial Building Energy Asset Score. Responses to some of the most frequently asked questions can be found below within the following categories: Program Overview Development Schedule and Pilot Testing Understanding the Asset Score Report and Using the Asset Scoring Tool Scoring Methodology Scoring Scales Identified Opportunities for Energy Efficiency Upgrades Quality Assurance Links to Other Tools Program Overview Q: What is the Commercial Building Energy Asset Score?

105

Cathy Zoi on the new Home Energy Score pilot program  

Broader source: Energy.gov [DOE]

The new Home Energy Score pilot program provides consumers with a home energy score between 1 and 10, and shows them how their home compares to others in their region. The program also offers...

106

TEST ARTICLE 3: Energy Department Updates Home Energy Scoring...  

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

TEST ARTICLE 3: Energy Department Updates Home Energy Scoring Tool TEST ARTICLE 3: Energy Department Updates Home Energy Scoring Tool January 15, 2014 - 2:07pm Addthis The Energy...

107

Commercial Building Energy Asset Score 2013 Pilot Data Collection Form  

Broader source: Energy.gov [DOE]

This form is intended to facilitate your data collection. The Energy Asset Scoring Tool uses the “block” concept to simplify your building geometry. Most buildings can be scored as one block

108

Home Energy Score Post-Pilot Update Webinar (Text Version)  

Broader source: Energy.gov [DOE]

Below is the text version of the webinar, Home Energy Score Post-Pilot Update, presented in September 2011.

109

Commercial Building Energy Asset Scoring Tool Application Programming Interface  

Broader source: Energy.gov [DOE]

slides from June 14, 2013 webinar on the commercial building energy asset scoring tool application programming interface

110

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

111

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

112

Biometric recognition using fuzzy score level fusion  

Science Journals Connector (OSTI)

Multi-modal biometric recognition uses more than one biometric identifier to recognise a person. Identification based on multiple templates becomes an emerging need. Multi-modal biometric systems are expected to be more reliable due to the presence of multiple independent pieces of biometric traits. This paper proposes a new approach for biometric recognition using hand vein and finger vein images. Our proposed method employs hyper analytic wavelet transform and automatic thresholding techniques to extract features from the images of hand. Once the veins are extracted the location and width are stored in the database. Here score level fusion based on fuzzy logic is utilised for recognition. This approach is tested on the finger vein and hand vein databases which is containing 500 samples from 100 users. The experimental results exhibits that the proposed method is comparable with the existing recognising methods.

S. Bharathi; R. Sudhakar; Valentina E. Balas

2014-01-01T23:59:59.000Z

113

El Paso Electric - SCORE and Commercial Solutions | Department of Energy  

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

- SCORE and Commercial Solutions - SCORE and Commercial Solutions El Paso Electric - SCORE and Commercial Solutions < Back Eligibility Commercial Installer/Contractor Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Program Info State Texas Program Type Utility Rebate Program Rebate Amount SCORE Reduced Peak Electric Demand; $185/kW Provider CLEAResult Consulting, Inc. El Paso Electric offers a targeted incentive program for public institutions, local governments and higher education. The SCORE Program is designed to help municipalities, counties, public

114

Building Technologies Office: Home Energy Score Research and Background  

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

Research and Background to someone by E-mail Research and Background to someone by E-mail Share Building Technologies Office: Home Energy Score Research and Background on Facebook Tweet about Building Technologies Office: Home Energy Score Research and Background on Twitter Bookmark Building Technologies Office: Home Energy Score Research and Background on Google Bookmark Building Technologies Office: Home Energy Score Research and Background on Delicious Rank Building Technologies Office: Home Energy Score Research and Background on Digg Find More places to share Building Technologies Office: Home Energy Score Research and Background on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background

115

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...

116

DOE Solar Decathlon: Scores by Contest  

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

Hot Water Contest Hot Water Contest The current scores for the Hot Water Contest of the U.S. Department of Energy Solar Decathlon are shown below. T1. Stevens 100.000 Hot Water: 100.000 points (ranked T1) T1. Team Austria 100.000 Hot Water: 100.000 points (ranked T1) T1. Middlebury College 100.000 Hot Water: 100.000 points (ranked T1) T1. Las Vegas 100.000 Hot Water: 100.000 points (ranked T1) T1. Team Alberta 100.000 Hot Water: 100.000 points (ranked T1) T1. Team Ontario 100.000 Hot Water: 100.000 points (ranked T1) T2. Stanford 99.063 Hot Water: 99.063 points (ranked T2) T2. Santa Clara 99.063 Hot Water: 99.063 points (ranked T2) 3. Czech Republic 98.938 Hot Water: 98.938 points (ranked 3) T4. Norwich 93.750 Hot Water: 93.750 points (ranked T4)

117

DOE Solar Decathlon: Scores by Contest  

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

Energy Balance Contest Energy Balance Contest The current scores for the Energy Balance Contest of the U.S. Department of Energy Solar Decathlon are shown below. T1. SCI-Arc/Caltech 100.000 Energy Balance: 100.000 points (ranked T1) T1. Stevens 100.000 Energy Balance: 100.000 points (ranked T1) T1. Czech Republic 100.000 Energy Balance: 100.000 points (ranked T1) T1. Stanford 100.000 Energy Balance: 100.000 points (ranked T1) T1. Norwich 100.000 Energy Balance: 100.000 points (ranked T1) T1. Team Texas 100.000 Energy Balance: 100.000 points (ranked T1) T1. Missouri S&T 100.000 Energy Balance: 100.000 points (ranked T1) T1. Team Austria 100.000 Energy Balance: 100.000 points (ranked T1) T1. Middlebury College 100.000 Energy Balance: 100.000 points (ranked T1)

118

DOE Solar Decathlon: Scores by Contest  

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

Comfort Zone Contest Comfort Zone Contest The current scores for the Comfort Zone Contest of the U.S. Department of Energy Solar Decathlon are shown below. 1. Santa Clara 99.485 Comfort Zone: 99.485 points (ranked 1) 2. Team Capitol DC 98.822 Comfort Zone: 98.822 points (ranked 2) 3. Czech Republic 98.691 Comfort Zone: 98.691 points (ranked 3) 4. Las Vegas 98.059 Comfort Zone: 98.059 points (ranked 4) 5. Team Alberta 97.780 Comfort Zone: 97.780 points (ranked 5) 6. Team Ontario 97.642 Comfort Zone: 97.642 points (ranked 6) 7. Middlebury College 97.218 Comfort Zone: 97.218 points (ranked 7) 8. Kentucky/Indiana 96.425 Comfort Zone: 96.425 points (ranked 8) 9. North Carolina 95.396 Comfort Zone: 95.396 points (ranked 9) 10. Stanford 94.133 Comfort Zone: 94.133 points (ranked 10)

119

U.S. DOE Commercial Building Energy Asset Score  

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

Commercial Building Energy Asset Score Commercial Building Energy Asset Score Quick Start Guide To create a Commercial Building Energy Asset Score (Asset Score) for your building you need to complete the following six (6) steps using the Commercial Building Energy Asset Scoring Tool (Asset Scoring Tool). Although you are not required to carry out these steps in a specific order, the following sequence will most likely save you time. Input Basic Building Information * Click the New Building button to begin. * Enter building name, location, gross floor area, and year of construction. * Click the button to continue. Identify Building Use Type(s) * Select all applicable use types. * Choose from a variety of options including office, retail, multi-family, education, and

120

Commercial Building Energy Asset Score: 2013 Pilot Overview  

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

Commercial Building Energy Asset Score: Commercial Building Energy Asset Score: 2013 Pilot Overview June 17, 2013 Joan Glickman, DOE Patty Kappaz, SRA 1 eere.energy.gov Agenda � Team Introduction � Commercial Building Energy Asset Score Update * Program overview * Progress to date * Objectives of the 2013 Pilot * Future plans � Process for Pilot Participation 2 I Energy Asset Score eere.energy.gov � � � � � � � Meet the Team U.S. Department of Energy (DOE) Project oversight Strategic direction Policy perspective Pacific Northwest National Laboratory (PNNL) Technical lead Scoring Tool development and maintenance SRA International (SRA) Pilot management Outreach and communications 3 I Energy Asset Score eere.energy.gov Program Goals * Develop a national energy asset rating to --

Note: This page contains sample records for the topic "total evaluation score" 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

Vice President Biden Launches Home Energy Scoring Program | Department of  

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

Launches Home Energy Scoring Program Launches Home Energy Scoring Program Vice President Biden Launches Home Energy Scoring Program November 9, 2010 - 12:00am Addthis WASHINGTON - Vice President Biden joined U.S. Department of Energy Secretary Steven Chu today to announce the launch of the Home Energy Score pilot program. The Home Energy Score will offer homeowners straightforward, reliable information about their homes' energy efficiency. A report provides consumers with a home energy score between 1 and 10, and shows them how their home compares to others in their region. The report also includes customized, cost-effective recommendations that will help to reduce their energy costs and improve the comfort of their homes. DOE today also released the Workforce Guidelines for Home Energy Upgrades,

122

Building Technologies Office: Commercial Building Energy Asset Score Tool  

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

Tool Report to someone by E-mail Tool Report to someone by E-mail Share Building Technologies Office: Commercial Building Energy Asset Score Tool Report on Facebook Tweet about Building Technologies Office: Commercial Building Energy Asset Score Tool Report on Twitter Bookmark Building Technologies Office: Commercial Building Energy Asset Score Tool Report on Google Bookmark Building Technologies Office: Commercial Building Energy Asset Score Tool Report on Delicious Rank Building Technologies Office: Commercial Building Energy Asset Score Tool Report on Digg Find More places to share Building Technologies Office: Commercial Building Energy Asset Score Tool Report on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides

123

Home Energy Score: Information for Home Energy Assessors | Department of  

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

Home Energy Assessors Home Energy Assessors Home Energy Score: Information for Home Energy Assessors To offer the Home Energy Score to homeowners, Qualified Assessors work directly with Home Energy Score Partners and must be certified as a Building Performance Institute (BPI) Building Analyst or a Residential Energy Services Network (RESNET) HERS Rater, and receive a passing grade on DOE's Home Energy Scoring Tool test. DOE provides interested assessors with access to training materials and after being qualified, access to the online Scoring Tool and data collection sheet. Training Opportunities In April 2013, DOE began to develop a 3-D immersive simulation training and testing (3-DISTT) software program for interested Home Energy Score assessors. The 3-DISTT software uses computer-based simulations to recreate

124

Commercial Building Energy Asset Score 2013 Pilot | Department of Energy  

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

2013 Pilot 2013 Pilot Commercial Building Energy Asset Score 2013 Pilot DOE conducted its first pilot test of the Asset Score in 2012. Findings from that pilot have led to improvements in the overall program and the Asset Scoring Tool. The current program includes the following new features: Enhanced Asset Scoring Tool capabilities, including the ability to score complex buildings and the following building types: multifamily, lodging, libraries, court houses and mixed use. Retail, office, schools, and unrefrigerated warehouses were part of the 2012 Pilot and will continue to be included in the 2013 Pilot. Improved usability, including clearer input definitions, an enhanced user interface, and the ability for multiple users to edit one building Reduced data requirements to generate a simple Asset Score

125

D & D screening risk evaluation guidance  

SciTech Connect (OSTI)

The Screening Risk Evaluation (SRE) guidance document is a set of guidelines provided for the uniform implementation of SREs performed on decontamination and decommissioning (D&D) facilities. Although this method has been developed for D&D facilities, it can be used for transition (EM-60) facilities as well. The SRE guidance produces screening risk scores reflecting levels of risk through the use of risk ranking indices. Five types of possible risk are calculated from the SRE: current releases, worker exposures, future releases, physical hazards, and criticality. The Current Release Index (CRI) calculates the current risk to human health and the environment, exterior to the building, from ongoing or probable releases within a one-year time period. The Worker Exposure Index (WEI) calculates the current risk to workers, occupants and visitors inside contaminated D&D facilities due to contaminant exposure. The Future Release Index (FRI) calculates the hypothetical risk of future releases of contaminants, after one year, to human health and the environment. The Physical Hazards Index (PHI) calculates the risks to human health due to factors other than that of contaminants. Criticality is approached as a modifying factor to the entire SRE, due to the fact that criticality issues are strictly regulated under DOE. Screening risk results will be tabulated in matrix form, and Total Risk will be calculated (weighted equation) to produce a score on which to base early action recommendations. Other recommendations from the screening risk scores will be made based either on individual index scores or from reweighted Total Risk calculations. All recommendations based on the SRE will be made based on a combination of screening risk scores, decision drivers, and other considerations, as determined on a project-by-project basis.

Robers, S.K.; Golden, K.M.; Wollert, D.A.

1995-09-01T23:59:59.000Z

126

Prognostic Utility of Cell Cycle Progression Score in Men With Prostate Cancer After Primary External Beam Radiation Therapy  

SciTech Connect (OSTI)

Purpose: To evaluate the prognostic utility of the cell cycle progression (CCP) score, a RNA signature based on the average expression level of 31 CCP genes, for predicting biochemical recurrence (BCR) in men with prostate cancer treated with external beam radiation therapy (EBRT) as their primary curative therapy. Methods and Materials: The CCP score was derived retrospectively from diagnostic biopsy specimens of men diagnosed with prostate cancer from 1991 to 2006 (n=141). All patients were treated with definitive EBRT; approximately half of the cohort was African American. Outcome was time from EBRT to BCR using the Phoenix definition. Median follow-up for patients without BCR was 4.8 years. Association with outcome was evaluated by Cox proportional hazards survival analysis and likelihood ratio tests. Results: Of 141 patients, 19 (13%) had BCR. The median CCP score for patient samples was 0.12. In univariable analysis, CCP score significantly predicted BCR (P=.0017). The hazard ratio for BCR was 2.55 for 1-unit increase in CCP score (equivalent to a doubling of gene expression). In a multivariable analysis that included Gleason score, prostate-specific antigen, percent positive cores, and androgen deprivation therapy, the hazard ratio for CCP changed only marginally and remained significant (P=.034), indicating that CCP provides prognostic information that is not provided by standard clinical parameters. With 10-year censoring, the CCP score was associated with prostate cancer-specific mortality (P=.013). There was no evidence for interaction between CCP and any clinical variable, including ethnicity. Conclusions: Among men treated with EBRT, the CCP score significantly predicted outcome and provided greater prognostic information than was available with clinical parameters. If validated in a larger cohort, CCP score could identify high-risk men undergoing EBRT who may need more aggressive therapy.

Freedland, Stephen J., E-mail: steve.freedland@duke.edu [Department of Surgery, Durham VA Medical Center, Durham, North Carolina (United States); Department of Surgery (Urology), Duke University School of Medicine, Durham, North Carolina (United States); Department of Pathology, Duke University School of Medicine, Durham, North Carolina (United States); Gerber, Leah [Department of Surgery, Durham VA Medical Center, Durham, North Carolina (United States); Department of Surgery (Urology), Duke University School of Medicine, Durham, North Carolina (United States); Department of Pathology, Duke University School of Medicine, Durham, North Carolina (United States); Reid, Julia; Welbourn, William; Tikishvili, Eliso; Park, Jimmy; Younus, Adib; Gutin, Alexander; Sangale, Zaina; Lanchbury, Jerry S. [Myriad Genetics, Inc, Salt Lake City, Utah (United States); Salama, Joseph K. [Department of Radiation Oncology, Durham VA Medical Center, Durham, North Carolina (United States); Department of Radiation Oncology, Duke University School of Medicine, Durham, North Carolina (United States); Stone, Steven [Myriad Genetics, Inc, Salt Lake City, Utah (United States)

2013-08-01T23:59:59.000Z

127

El Paso Electric Company - SCORE Plus Standard Offer Program | Department  

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

Company - SCORE Plus Standard Offer Program Company - SCORE Plus Standard Offer Program El Paso Electric Company - SCORE Plus Standard Offer Program < Back Eligibility Commercial Industrial Institutional Local Government Schools State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Program Info Funding Source Texas New Mexico Power Company State New Mexico Program Type Utility Rebate Program Rebate Amount K-12, Higher Education, Cities, and Businesses: $137.50/kW peak demand; $0.035/kWh Provider CLEAResult Consulting, Inc. The El Paso Electric (EPE) SCORE Plus Program is designed to help

128

Commercial Building Energy Asset Score: Pilot Findings and Program Update  

Broader source: Energy.gov [DOE]

The webinar was held on April 16, 2014, to share the findings from the 2013 Pilot and provide a program update on the Commercial Building Energy Asset Score.

129

Home Energy Score: Frequently Asked Questions for Partners |...  

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

Partners Home Energy Score: Frequently Asked Questions for Partners Below you will find answers to frequently asked questions for homeowners and Partners about the Home Energy...

130

Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score  

Science Journals Connector (OSTI)

The correspondence among the following three forecast verification scores, based on forecasts and their associated observations, is described: 1) the correlation score, 2) the root-mean-square error (RMSE) score, and 3) the Heidke score (based on ...

Anthony G. Barnston

1992-12-01T23:59:59.000Z

131

Optimal Auditing with Scoring Theory and Application to Insurance Fraud  

E-Print Network [OSTI]

Optimal Auditing with Scoring Theory and Application to Insurance Fraud Georges Dionne Florence Theory and Application to Insurance Fraud Georges Dionne1 Florence Giuliano2 Pierre Picard3 November 2005 méthodologie du scoring dans un contexte d'asymétrie d'information. L'application retenue concerne la fraude à

Paris-Sud XI, Université de

132

Home Energy Score: Information for Interested Organizations | Department of  

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

Information for Interested Organizations Information for Interested Organizations Home Energy Score: Information for Interested Organizations DOE is recruiting Partners, which are commonly state and local governments, utilities, and energy efficiency non-profits, to implement the Home Energy Score as part of their existing residential programs. Partners must be able to score a minimum of 200 homes in 12 months and fulfill quality assurance requirements. If your organization is interested in becoming a Home Energy Score Partner, contact us via email at homeenergyscore@ee.doe.gov. You can find more information for partners on the Frequently Asked Questions for Partners page or in this separate printable document. See also: Information for Homeowners Information for Interested Assessors Highlights Home Energy Scoring Tool Updated

133

Energy Department Updates Home Energy Scoring Tool for Advancing  

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

Updates Home Energy Scoring Tool for Advancing Updates Home Energy Scoring Tool for Advancing Residential Energy Performance Energy Department Updates Home Energy Scoring Tool for Advancing Residential Energy Performance January 9, 2014 - 3:19pm Addthis As part of the Energy Department's commitment to helping families across the United States save money by saving energy, the Department announced today its first major software update to the Home Energy Scoring Tool, developed by the Department's Building Technologies Office and Lawrence Berkeley National Laboratory (LBNL). The Home Energy Score allows homebuyers to compare homes on an "apples to apples" basis and provides recommendations for energy efficiency improvements. In addition, homeowners and homebuyers receive a cost-saving estimate of how these improvements could reduce utility bills and improve a

134

Step 5: Draft and Evaluate RFPs | Department of Energy  

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

Develop a scoring sheet that provides members of the evaluation team with a way to rank the qualifications of bidders objectively. Criteria that should be carefully evaluated...

135

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

136

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

137

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

138

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

139

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

140

ENERGY STAR Score for Supermarkets/Grocery Stores  

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

Supermarkets/Grocery Stores in the United States Page 1 Supermarkets/Grocery Stores in the United States Page 1 ENERGY STAR Score for Supermarkets/Grocery Stores in the United States Technical Reference OVERVIEW The ENERGY STAR Score for Supermarkets/Grocery Stores applies to properties used for the retail sale of primarily food and beverage products. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and business activities at the property. To identify the aspects of building activity that are significant drivers of energy use and then normalize for

Note: This page contains sample records for the topic "total evaluation score" 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

Cathy Zoi on the new Home Energy Score pilot program  

SciTech Connect (OSTI)

Acting Under Secretary Cathy Zoi talks about the new Home Energy Score pilot program that was announced today by Vice President Biden and U.S. Department of Energy Secretary Steven Chu. The Home Energy Score will offer homeowners straightforward, reliable information about their homes' energy efficiency. A report provides consumers with a home energy score between 1 and 10, and shows them how their home compares to others in their region. The report also includes customized, cost-effective recommendations that will help to reduce their energy costs and improve the comfort of their homes.

Zoi, Cathy

2011-01-01T23:59:59.000Z

142

Cathy Zoi on the new Home Energy Score pilot program  

ScienceCinema (OSTI)

Acting Under Secretary Cathy Zoi talks about the new Home Energy Score pilot program that was announced today by Vice President Biden and U.S. Department of Energy Secretary Steven Chu. The Home Energy Score will offer homeowners straightforward, reliable information about their homes' energy efficiency. A report provides consumers with a home energy score between 1 and 10, and shows them how their home compares to others in their region. The report also includes customized, cost-effective recommendations that will help to reduce their energy costs and improve the comfort of their homes.

Zoi, Cathy

2013-05-29T23:59:59.000Z

143

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

144

The Combined Federal Campaign: Scoring a Touchdown in Giving | Department  

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

The Combined Federal Campaign: Scoring a Touchdown in Giving The Combined Federal Campaign: Scoring a Touchdown in Giving The Combined Federal Campaign: Scoring a Touchdown in Giving October 6, 2010 - 1:55pm Addthis Bill Valdez Bill Valdez Principal Deputy Director It has been said that Federal employees are big-hearted people. We could not agree more, and nothing demonstrates that caring spirit year after year better than the Combined Federal Campaign (CFC), the Federal government's annual giving drive. Today Department of Energy employees kicked off the CFC, themed "Scoring a Touchdown in Giving," with a goal to raise $1,446,220.00 as a Department. I just wrapped up mc'ing our kick-off event in front of a packed auditorium at DOE headquarters, and listening to inspiring stories to help DOE get in the game of CFC giving. Employees heard from Secretary

145

Commercial Building Energy Asset Scoring Tool 2013 Pilot Training Session  

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

Commercial Building Energy Asset Scoring Tool Commercial Building Energy Asset Scoring Tool 2013 Pilot Training Session NORA WANG SUPRIYA GOEL GEOFF ELLIOTT Pacific Northwest National Laboratory JUNE 18, 2013 Meet the Team U.S. Department of Energy (DOE) � Project oversight � Strategic direction � Policy perspective Pacific Northwest National Laboratory (PNNL) � Technical lead � Scoring Tool development and maintenance SRA International (SRA) � Pilot management � Outreach and communications 2 I Energy Asset Score eere.energy.gov Pilot Participation Process 1. Sign the Pilot Participation Agreement by June 26 2. Provide DOE with points of contact for lead project coordinator and data collector(s)/tool user(s) by June 26 3. DOE provides Pilot Participants with username and password to

146

Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs |  

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

Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs Entergy Texas - SCORE, CitySmart, and Commercial Solutions Programs < Back Eligibility Commercial Industrial Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Design & Remodeling Program Info State Texas Program Type Utility Rebate Program Rebate Amount Commercial Solutions Program: $175/kW demand reduction + $0.02/kWh saved SCORE/CitySmart Programs: $200/kW Provider Entergy Texas, Inc. The Commercial Solutions Program is designed to help participants identify

147

Home Energy Score: Program Update for Interested Stakeholders  

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

Home Energy Score: Home Energy Score: Program Update for Interested Stakeholders Joan Glickman Senior Advisor/Program Manager U.S. Department of Energy July 23, 2012 1 eere.energy.gov DOE's objectives for the Home Energy Score Program * Strengthen the home energy improvement market * Provide an affordable and credible means for homeowners to understand - their home's energy performance, - how their home compares to others in their area, and - how to improve its efficiency. * Build on and complement existing home energy improvement efforts * Help trained workers enter the private sector energy improvement market, as Weatherization work funded by the Recovery Act ramps down 2 eere.energy.gov Better Information: Home Energy Score * Voluntary MPG rating for homes and

148

Home Energy Score API User: CakeSystems  

Broader source: Energy.gov [DOE]

CakeSystems is a platform that helps efficiency programs, professionals, and homeowners implement scoring tools to help move the market forward. CakeSystems uses a flexible data collection platform...

149

Home Energy Score: Analysis & Improvements to Date | Department...  

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

to Date, a presentation from the U.S. Department of Energy, by Joan Glickman Senior AdvisorProgram Manager, Home Energy Score, July 24, 2012. pilotanalysiswebinar7-24-12.pdf...

150

Home Energy Score: Program Update for Interested Stakeholders...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

the U.S. Department of Energy, Home Energy Score program, from Joan Glickman, Senior AdvisorProgram Manager, July 23, 2012. programupdatewebinar7-23-12.pdf More Documents &...

151

New Training Tool Broadens Pool of Home Energy Score Assessors  

Broader source: Energy.gov [DOE]

Today, DOE announced the release of the Home Energy Score Simulation Training, a new online simulation tool that provides free, targeted training and testing to individuals interested in providing...

152

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

153

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,...

154

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

155

E-Print Network 3.0 - activities score em Sample Search Results  

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

credit Score 5 on Mech section - PHYS 131 Score 5 on E-M section - PHYS 132 . Political Science... American History Score 3, 4 ... Source: Suzuki, Masatsugu - Department of...

156

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

157

Home Energy Score: Analysis & Improvements to Date  

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

Home Energy Score: Home Energy Score: � Analysis & Improvements to Date � Joan Glickman Senior Advisor/Program Manager U.S. Department of Energy July 24, 2012 1 eere.energy.gov Presentation Overview 1) Background 2) Program Improvements 3) Analysis: Efficacy of Tool & Program - Asset Perturbations - Behavior Perturbations - Estimated Energy Use vs. Actual Energy Use (from utility bills) - Time Required for Assessment and Scoring - Blower Door Test Analysis 4) Next Steps & Ongoing Analysis 2 eere.energy.gov 1. Background � 3 eere.energy.gov Guiding Principles * Information must be credible, reliable, and replicable. * Information must be transparent and easy to understand. � * Implementation costs must be affordable. * Program must include effective quality assurance.

158

What's Your PEV Readiness Score? | Department of Energy  

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

What's Your PEV Readiness Score? What's Your PEV Readiness Score? What's Your PEV Readiness Score? February 14, 2013 - 10:30am Addthis PEV readiness is a community-wide effort that requires charging infrastructure, planning, regulations and support services. The new PEV Scorecard helps communities determine their PEV friendliness. | Photo courtesy of IKEA Orlando. PEV readiness is a community-wide effort that requires charging infrastructure, planning, regulations and support services. The new PEV Scorecard helps communities determine their PEV friendliness. | Photo courtesy of IKEA Orlando. Shannon Brescher Shea Communications Manager, Clean Cities Program What does this project do? Clean Cities works to reduce U.S. reliance on petroleum in transportation by establishing local coalitions of public- and

159

North Carolina Playing Fields Score Brighter Lights | Department of Energy  

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

Playing Fields Score Brighter Lights Playing Fields Score Brighter Lights North Carolina Playing Fields Score Brighter Lights July 19, 2010 - 2:00pm Addthis Energy efficient metal halide lighting is replacing the outdated lighting system at Mecklenburg Park. | Photo courtesy of Michael Jaycocks Energy efficient metal halide lighting is replacing the outdated lighting system at Mecklenburg Park. | Photo courtesy of Michael Jaycocks Nearly 600 games are played on four athletic fields as North Mecklenburg Park, one of the largest parks in Huntersville, N.C. Busy as it is with 277,000 annual visitors, the park had a major problem: The 20-year-old field lighting system was not only inefficient but also increasingly unsafe for recreational softball leagues, high school teams and the public. "Staff would have to turn lights on early for games and practices to be

160

Portfolio Manager Technical Reference: ENERGY STAR Score | ENERGY STAR  

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

ENERGY STAR Score ENERGY STAR Score Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

Note: This page contains sample records for the topic "total evaluation score" 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

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

162

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

163

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

164

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

165

Total Cost of Ownership Considerations in Global Sourcing Processes  

E-Print Network [OSTI]

Total Cost of Ownership Considerations in Global Sourcing Processes Robert Alard, Philipp Bremen and microeconomic aspects which can also be largely used independently. Keywords: Global Supply Networks, Total Cost of Ownership, Global Total Cost of Ownership, Global Procurement, Outsourcing, Supplier Evaluation, Country

Paris-Sud XI, Université de

166

The SCORE and CitySmart Programs: Sustaining Investment in High Performance Buildings in Schools and Cities  

E-Print Network [OSTI]

17 N/A N/A Total 432 143 89 ESL-IC-09-11-22 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 8 Lighting Quality The types of projects completed under the SCORE and City.... Cities and city buildings utilize all lighting technologies available ? incandescent and halogen, fluorescent (linear and CFL), high-intensity discharge (MH, HPS, LPS, MV), LED, cold cathode, and neon. No matter the application, there are almost...

Kleinman, J.; McMinn, S.

167

Commercial Buildings: Asset Scoring Efforts and Request for Information: February 2013 webinar  

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

DOE Building Technologies Program DOE Building Technologies Program Commercial Buildings: Asset Scoring Efforts and Request for Information Joan Glickman February 21, 2013 Energy efficiency in buildings: The valuation conundrum Key actors all have reasons to maximize energy performance... � * Owners/Investors: Property value, competitive advantage * Operators: Reduced costs, increased NOI, fewer complaints * Financiers, Insurers: Lower risk * Tenants: Lower utility bills, improved comfort and productivity ....yet, market frequently still undervalues EE. Why? � * Difficult to get credible, comparable information at a low cost - No standard tools or methods exist to separately assess building infrastructure and energy systems * Transaction costs (i.e., auditing, collecting data, evaluating information) are

168

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

169

Automated Essay Scoring by Capturing Relative Writing Quality  

Science Journals Connector (OSTI)

......model score. We obtain k = 5 by grid search from 2 to 100 on a sample...Parameters mentioned here are set by grid search in our preliminary experiments...topic We all understand the benefits of laughter. For example...Salton, G. (1971) The SMART Retrieval System-Experiments......

Hongbo Chen; Jungang Xu; Ben He

2014-09-01T23:59:59.000Z

170

Smart pricing scheme: A multi-layered scoring rule application  

Science Journals Connector (OSTI)

Defining appropriate pricing strategy for smart environment is important and complex task at the same time. It holds the primal fraction in Demand Response (DR) program. In our work, we devise an incentive based smart dynamic pricing scheme for consumers ... Keywords: Demand response, Energy management, Incentive design, Scoring rule, Smart grid

Shantanu Chakraborty; Takayuki Ito; Tomonobu Senjyu

2014-06-01T23:59:59.000Z

171

Cooperative virtual power plant formation using scoring rules  

Science Journals Connector (OSTI)

The growing focus on sustainable and environmentally friendly energy production has resulted in the proliferation of distributed energy resources (DERs), mainly based on renewable sources like wind and sunlight. However, their small size and the intermittent ... Keywords: energy and emissions, scoring rules, smart grid

Valentin Robu; Ramachandra Kota; Georgios Chalkiadakis; Alex Rogers; Nicholas R. Jennings

2012-06-01T23:59:59.000Z

172

OntoMusic: from Scores to Expressive Music Performances  

Science Journals Connector (OSTI)

The literal performance of the symbols contained in a traditional score is not enough to produce expressive music. Human interpreters use musical knowledge that is not explicitly represented in it. This paper presents a knowledge-based approach to introduce ... Keywords: Applications, Knowledge-Based Systems, Ontologies

Pere Ferrera; Josep Puyol-Gruart

2005-05-01T23:59:59.000Z

173

SCORE GUIDED AUDIO RESTORATION VIA GENERALISED COUPLED TENSOR FACTORISATION  

E-Print Network [OSTI]

SCORE GUIDED AUDIO RESTORATION VIA GENERALISED COUPLED TENSOR FACTORISATION Umut S¸ims¸ekli, Y and piano roll representations to solve audio in- terpolation and restoration problem. The model when 50% of data frames are missing. Index Terms-- Audio Restoration, Coupled Tensor Fac- torisation 1

Cemgil, A. Taylan

174

Home Energy Score Past Webinars and Video Spotlights | Department of Energy  

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

Home Energy Score Past Webinars and Video Spotlights Home Energy Score Past Webinars and Video Spotlights Home Energy Score Past Webinars and Video Spotlights January 3, 2014 - 1:35pm Addthis Home Energy Score Past Webinars and Video Spotlights Here are past webinars and materials from Home Energy Score. July 30, 2013: Home Energy Score Program Overview for the American Gas Association U.S. DOE is getting ready to launch a new version of the Home Energy Scoring Tool, building on lessons learned and feedback received during the last year of nationwide program implementation. Participants on this webinar had the opportunity to engage with DOE, view a demo of the Scoring Tool, and learn about the plans for its future. Joan Glickman, Home Energy Score Program Manager, was joined by Home Energy Score Partner New Jersey

175

Home Energy Score Program Update Webinar (Text Version) | Department of  

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

Program Update Webinar (Text Version) Program Update Webinar (Text Version) Home Energy Score Program Update Webinar (Text Version) Below is a text version of the webinar titled "Home Energy Score: Program Update for Interested Stakeholders," originally presented on July 23, 2012. In addition to this text version of the audio, you can access the presentation slides and a recording of the webinar. Joan Glickman: Slide 1: Thank you very much and good afternoon, or good morning to those of you on the west coast. Thanks for calling in and viewing today. As Cortney said, I am going to spend, I don't know maybe a half an hour going through our program update and we will take questions, so maybe we can have 15 minutes for questions and the last 15 minutes I can go through some slides that are specifically for those types of organizations who might be

176

Home Energy Score Pilot Analysis Webinar (Text Version) | Department of  

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

Pilot Analysis Webinar (Text Version) Pilot Analysis Webinar (Text Version) Home Energy Score Pilot Analysis Webinar (Text Version) Below is a text version of the webinar titled "Home Energy Score: Analysis and Improvements to Date," originally presented on July 24, 2012. In addition to this text version of the audio, you can access the presentation slides and a recording of the webinar. Slide 2: To date based on the pilot findings, tell you a little bit about the analysis that we did over the last year or so, partly from the pilots and then also through another piece of analysis that NREL did for us using model data and also utility bill data. And then, finally I will tell you a little bit about our next steps and what were are planning as we move forward with implementation, both in terms of implementation, but with an

177

Home Energy Score Update (text version) | Department of Energy  

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

Update (text version) Update (text version) Home Energy Score Update (text version) Below is a text version of the Webinar titled "Home Energy Score Update," originally presented on November 17, 2010. In addition to this text version of the audio, you can access the presentation slides and a recording of the Webinar (WMV 58 MB). Joan Glickman: We'll get through as many as we can in the next half an hour. [Next Slide] So as many of you probably know, this all started through the Recovery Through Retrofit effort which was initiated by the Middle Class Task Force out of the Office of the Vice President. That task force identified three major barriers standing in the way to greater use of and investment in home energy improvements around the country. And what they identified as the

178

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network [OSTI]

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

Autonoma de Madrid, Universidad

179

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

180

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

Note: This page contains sample records for the topic "total evaluation score" 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

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

182

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

183

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

184

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

185

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

186

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

187

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

188

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

189

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

190

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

191

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

192

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

193

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

194

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

195

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

196

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

197

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

198

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

199

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

200

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

Note: This page contains sample records for the topic "total evaluation score" 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.............................................................................  

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

202

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

203

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

204

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

205

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)

206

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

207

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

208

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

209

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

210

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

211

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

212

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,...

213

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...

214

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,...

215

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...

216

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...

217

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...

218

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...

219

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...

220

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,...

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


221

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

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...

222

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...

223

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...

224

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...

225

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...

226

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...

227

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...

228

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...

229

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

230

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

231

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

232

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

233

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

234

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

235

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

236

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

237

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

238

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

239

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

240

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

Note: This page contains sample records for the topic "total evaluation score" 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

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

242

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

243

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

244

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

245

Commercial Building Energy Asset Score Data Collection Priority Map  

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

Commercial Building Energy Asset Score Data Collection Priority Map Commercial Building Energy Asset Score Data Collection Priority Map Type Page OFFICE* 1-2 RETAIL 3 SCHOOL 4 WAREHOUSE 5 LODGING* 6 MULTI-FAMILY* 7 ASSEMBLY 8 APPENDIX: ASHRAE CLIMATE ZONE MAP 9 * For the purposes of this guide, some use types have multiple tables based on building size. If you're uncertain which size applies to your building, use your best judgment or consult more than one table. The size categories are meant as general guidelines but do not correspond to specific ranges in square footage. OFFICE Large Office Priorities by Climate Zones 1A 1B 2A 2B 3A 3B 3C 4A 4B 4C 5A 5B 5C 6A 6B 7 8 Lighting High High High High High High High High High High High High High High High High High Lighting Controls High High High High High High High High High High High High High High High High High

246

Home Energy Score Past Webinars and Video Spotlights | Department of Energy  

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

Past Webinars and Video Spotlights Past Webinars and Video Spotlights Home Energy Score Past Webinars and Video Spotlights Here are past webinars and materials from Home Energy Score. July 30, 2013: Home Energy Score Program Overview for the American Gas Association U.S. DOE is getting ready to launch a new version of the Home Energy Scoring Tool, building on lessons learned and feedback received during the last year of nationwide program implementation. Participants on this webinar had the opportunity to engage with DOE, view a demo of the Scoring Tool, and learn about the plans for its future. Joan Glickman, Home Energy Score Program Manager, was joined by Home Energy Score Partner New Jersey Natural Gas, who has completed more than 2,300 scores to date. The webinar is geared specifically to natural gas utilities' interests. Download the

247

Cathy Zoi on the New Home Energy Score Pilot Program (Text Version...  

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

the New Home Energy Score Pilot Program (Text Version) Below is the text version of the video, Cathy Zoi on the New Home Energy Score Pilot Program, presented on November 19, 2010....

248

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

249

Z-score-based modularity for community detection in networks  

E-Print Network [OSTI]

Identifying community structure in networks is an issue of particular interest in network science. The modularity introduced by Newman and Girvan [Phys. Rev. E 69, 026113 (2004)] is the most popular quality function for community detection in networks. In this study, we identify a problem in the concept of modularity and suggest a solution to overcome this problem. Specifically, we obtain a new quality function for community detection. We refer to the function as Z-modularity because it measures the Z-score of a given division with respect to the fraction of the number of edges within communities. Our theoretical analysis shows that Z-modularity mitigates the resolution limit of the original modularity in certain cases. Computational experiments using both artificial networks and well-known real-world networks demonstrate the validity and reliability of the proposed quality function.

Miyauchi, Atsushi

2015-01-01T23:59:59.000Z

250

Physisorption and Chemisorption Methods for Evaluating the Total...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Process Recommended Best Practices for the Characterization of Storage Properties of Hydrogen Storage Materials Hydrogen Sorption Center of Excellence (HSCoE) Final Report...

251

Evaluation of a total energy sensor for glide path control  

E-Print Network [OSTI]

of optimization problems and boundary conditions. The performance index was defined in terms of altitude h (relative and absolute), or path inclination 7 (relative and absolute) to determine the optimal trajectory on take-off through a wind shear. Resulting... on relative path inclination), theta guidance (based on pitch attitude angle), and acceleration guidance (based on relative acceleration). In another presentation dealing with aircraft trajectories through wind shear, Bowles discussed 12 potential alert...

Oseguera, Rosa Maria

2012-06-07T23:59:59.000Z

252

Total assessment audits (TAA) in Iowa  

SciTech Connect (OSTI)

Traditionally, energy, waste reduction and productivity audits are performed for a manufacturing facility independent of one another. Auditors generally deliver recommendations for improvement based on their specialized expertise (energy, waste reduction, productivity, etc.) without regard to how those recommendations may impact other, sometimes less obvious, subsystems or processes within the facility. The audits are typically performed in isolation from the plant upper management and commonly without adequate knowledge of how inherent interrelated operational constraints may directly or indirectly influence the success of audit recommendations. The Total Assessment Audit (TAA) concept originated from the belief that a manufacturing facility is better served using a holistic approach to problem solving rather than the more conventional isolated approach. The total assessment audit methodology partners the upper management team of a company with a multi-disciplined team of industry-specific specialists to collectively ascertain the core opportunities for improvement in the company and then to formulate a company oriented continuous improvement plan. Productivity, waste reduction, and energy efficiency objectives are seamlessly integrated into a single service delivery with the TAA approach. Nontraditional audit objectives that influence profitability and competitiveness such as business management practices, employee training, human resource issues, etc. are also subject to evaluation in a TAA. The underlying premise of this approach is that the objectives are interrelated and that simultaneous evaluation will province synergistic results. Ultimately, it is believed that the TAA approach can motivate a manufacturer to implement improvements it might not otherwise pursue if it were focused only on singular objectives.

Haman, W.G.

1999-07-01T23:59:59.000Z

253

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:

254

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"

255

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

256

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

257

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

258

Impact of a modified data capture period on Liu comorbidity index scores in Medicare enrollees initiating chronic dialysis  

E-Print Network [OSTI]

correlation coefficient was es- timated, along with 95% confidence intervals. To further evaluate the Modified Liu Index 1–90 as an estimate of the original Liu Index, we conducted a one-sample t-test of the score difference to test for bias (indicated... of subjects whose differences were zero, within one, two, three, four, and five were estimated along with their corresponding 95% Wald confidence intervals. A histogram of the scorescores ± standard deviation for the original index and the modified index were...

Rigler, Sally K.; Wetmore, James B.; Mahnken, Jonathan D.; Dong, Lei; Ellerbeck, Edward F.; Shireman, Theresa I.

2013-01-27T23:59:59.000Z

259

El Paso Electric Company - SCORE Plus Standard Offer Program (New Mexico)  

Open Energy Info (EERE)

Electric Company - SCORE Plus Standard Offer Program (New Mexico) Electric Company - SCORE Plus Standard Offer Program (New Mexico) http://en.openei.org/wiki/El_Paso_Electric_Company_-_SCORE_Plus_Standard_Offer_Program_(New_Mexico) Financial Incentive Programs The El Paso Electric (EPE) SCORE Plus Program is designed to help participants identify energy efficiency opportunities in existing and newly planned facilities and to provide monetary incentives to help implement the projects. The program is funded by the El Paso Electric Power Company and is being offered at no cost to participants. SCORE is a voluntary program that offers objective, third party consulting on best practices in the areas of energy usage and energy efficiency. No products or services are sold through the SCORE Program. Customized energy performance benchmarking, energy master planning workshops, technical

260

The Home Energy Score: Measuring "MPG" For Your Home | Department of Energy  

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

The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home November 9, 2010 - 2:27pm Addthis Acting Under Secretary Cathy Zoi talks about the new Home Energy Score pilot program. Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Today, Vice President Biden and Secretary Chu launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point

Note: This page contains sample records for the topic "total evaluation score" 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

The Home Energy Score: Measuring "MPG" For Your Home | Department of Energy  

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

The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home November 9, 2010 - 2:27pm Addthis Acting Under Secretary Cathy Zoi talks about the new Home Energy Score pilot program. Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Today, Vice President Biden and Secretary Chu launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point

262

Home Energy Score API User: United Illuminating Company and Connecticut Light and Power  

Broader source: Energy.gov [DOE]

The United Illuminating Company and Connecticut Light and Power, administering conservation, and load management programs funded by the Connecticut Energy Efficiency Fund, are Home Energy Score...

263

Commercial Buildings: Asset Scoring Efforts and Request for Information: February 2013 webinar  

Broader source: Energy.gov [DOE]

webinar providing an overview of the commercial building energy asset program, the energy asset scoring tool, and a recently issued RFI

264

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

265

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

266

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

267

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:

268

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

269

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

270

Appalachian Student Research Forum Poster Presentation Score Sheet NAME OF PRESENTER. Doe, John POSTER NO: 1  

E-Print Network [OSTI]

? Was the experiment or study method well-designed? SCORE: ________. 3. Work and Effort Involved Was the depth for their work? SCORE: ________. 4. Results Were there clear, readable, visibly-labeled figures? Was statistical. Abstract Was the abstract well displayed on the poster? Did the abstract paragraph contain the proper

Karsai, Istvan

271

The Home Energy Score: Measuring 'MPG' For Your Home | Department of Energy  

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

The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home November 16, 2010 - 8:52am Addthis Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency Editor's Note: Cross-posted from the Energy Blog. You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Vice President Biden and Secretary Chu recently launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point scale - with a 10 for the top performers, or those that keep the home

272

DOE Announces Webinars on Updates to the Home Energy Scoring Tool, a  

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

Updates to the Home Energy Scoring Tool, Updates to the Home Energy Scoring Tool, a Student Design Contest for Hydrogen Infrastructure, and More DOE Announces Webinars on Updates to the Home Energy Scoring Tool, a Student Design Contest for Hydrogen Infrastructure, and More January 10, 2014 - 11:00am Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars and browse previously aired videos, slides, and transcripts. Upcoming Webinars January 14: Live Webinar Introducing the 2014 Version of the Home Energy Scoring Tool Webinar Sponsor: EERE's Home Energy Score

273

The Home Energy Score: Measuring 'MPG' For Your Home | Department of Energy  

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

The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home November 16, 2010 - 8:52am Addthis Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency Editor's Note: Cross-posted from the Energy Blog. You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Vice President Biden and Secretary Chu recently launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point scale - with a 10 for the top performers, or those that keep the home

274

The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family  

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

The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family Homes Title The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family Homes Publication Type Conference Proceedings LBNL Report Number LBNL-5714E Year of Publication 2012 Authors Bourassa, Norman, Leo I. Rainer, Evan Mills, and Joan Glickman Conference Name 2012 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 05/2012 Conference Location Pacific Grove, CA, USA Abstract In 2010, the U.S. Department of Energy (DOE) and Lawrence Berkeley National Laboratory (LBNL) initiated development of a new web-based computer tool and method for providing an energy asset rating of single-family homes. The resulting Home Energy Scoring Tool (http://homeenergyscore.lbl.gov) is a key component of the DOE's Home Energy Score Program (http://www.homeenergyscore.gov) for residential building energy labeling, a voluntary national asset rating method that uses a simplified and standardized energy assessment process. The Scoring Tool component of the program has been designed to support the existing energy analysis marketplace by providing a substantially lower-cost entry-level assessment method. This paper presents technical details of the Home Energy Scoring Tool itself, including the Scoring Tool's relationship to the Home Energy Saver building simulation engine, the Home Energy Score calculation methodology, and the web services feature that allows any qualified third-party software developer to integrate the Home Energy Score method into their own webbased applications and market delivery strategy.

275

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

276

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

277

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

278

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

279

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

280

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

Note: This page contains sample records for the topic "total evaluation score" 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

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

282

AEP (Central, North and SWEPCO) - SCORE Program for Schools | Department of  

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

Central, North and SWEPCO) - SCORE Program for Schools Central, North and SWEPCO) - SCORE Program for Schools AEP (Central, North and SWEPCO) - SCORE Program for Schools < Back Eligibility Commercial Industrial Institutional Local Government Schools Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Insulation Windows, Doors, & Skylights Program Info Funding Source AEP Texas (Central, North and SWEPCO) Companies State Texas Program Type Utility Rebate Program Rebate Amount $150/peak kW Provider AEP Texas Central The CitySmart Program is designed to help participants identify energy efficiency opportunities in existing and newly planned city facilities.

283

Home Energy Score Program Overview for the American Gas Association Webinar (Text Version)  

Broader source: Energy.gov [DOE]

Below is the text version of the webinar, Home Energy Score Program Overview for the American Gas Association, presented on July 30, 2013. In addition to this text version of the audio, you can...

284

Home Energy Score: 3-D Simulation Training and Testing for Assessor Candidates  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy (DOE) Building Technologies Office (BTO) is developing a 3-D immersive simulation training and testing (3-DISTT) software program for Home Energy Score assessor candidates.

285

Media Scores : A framework for composing the modern-day Gesamtkunstwerk  

E-Print Network [OSTI]

Media Scores provide a theoretical and technical means to orchestrate multiple modalities in the creation of expressive works of art and performance. New technologies afford numerous opportunities to tell stories and create ...

Torpey, Peter Alexander

2013-01-01T23:59:59.000Z

286

The Effects of Handwriting, Spelling, and T-Units on Holistic Scoring with Implications for Dysgraphia  

E-Print Network [OSTI]

This study examined the relationship of holistic scoring with handwriting legibility, spelling accuracy and number of T-units within compositions written by children in grades 3 through 6 using path analysis. A sample of 223 compositions was rated...

Hooten, Regina

2010-07-14T23:59:59.000Z

287

HyDRA: Gene Prioritization via Hybrid Distance-Score Rank Aggregation  

Science Journals Connector (OSTI)

......computational techniques for inferring disease genes through a set of training genes and carefully chosen similarity criteria. Test genes are scored based on their average similarity to the training set, and the rankings of genes under various similarity criteria......

Minji Kim; Farzad Farnoud; Olgica Milenkovic

2014-11-01T23:59:59.000Z

288

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...

289

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

290

Texas Adapted Genetic Strategies for Beef Cattle X: Frame Score, Frame Size, and Weight  

E-Print Network [OSTI]

Texas Adapted Genetic Strategies for Beef Cattle X: Frame Score, Frame Size, and Weight Stephen P. Hammack and Ronald J. Gill* B ody size is an important genetic factor in beef cattle production. Historically, size was first esti...Texas Adapted Genetic Strategies for Beef Cattle X: Frame Score, Frame Size, and Weight Stephen P. Hammack and Ronald J. Gill* B ody size is an important genetic factor in beef cattle production. Historically, size was first esti...

Hammack, Stephen P.; Gill, Ronald J.

2009-04-02T23:59:59.000Z

291

The impact of parental involvement: a study of the relationship between homework and kindergarten Texas Primary Reading Inventory scores  

E-Print Network [OSTI]

The purpose of this study was to examine the impact of School Home Links activity guide homework on kindergarten Texas Primary Reading Inventory scores. Student Texas Primary Reading Inventory (TPRI) scores were obtained and analyzed for gains...

Davis, Jill Marie

2004-09-30T23:59:59.000Z

292

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

293

CenterPoint Energy - SCORE and CitySmart Program | Department of Energy  

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

You are here You are here Home » CenterPoint Energy - SCORE and CitySmart Program CenterPoint Energy - SCORE and CitySmart Program < Back Eligibility Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Program Info State Texas Program Type Utility Rebate Program Rebate Amount '''SCORE''' SCORE (Lighting): $125/kW plus $0.02/kWh SCORE (HVAC Measure): $165/kW plus $0.03/kWh '''CitySmart''' CitySmart: $145/kW plus $0.025/kWh '''SCORE LITE''' Lighting: $120/kW plus $0.04/kWh LED: $210/kW plus $0.08/kWh DX: $240/kW plus $0.09/kWh Chiller: $260/kW plus $0.11/kWh Motor: $235/kW plus $0.09/kWh VFD: $180/kW plus $0.07/kWh

294

Commercial Building Energy Asset Score Program Overview and Technical Protocol (Version 1.1)  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) is developing a voluntary national scoring system for commercial buildings to help building owners and managers assess a building’s energy-related systems independent of operations. The goal of the score is to facilitate cost-effective investment in energy efficiency improvements of commercial buildings. The system, known as the Commercial Building Energy Asset Score, will allow building owners and managers to compare their building infrastructure against peers and track building upgrades over time. The system will also help other building stakeholders (e.g., building investors, tenants, financiers, and appraisers) understand the relative efficiency of different buildings in a way that is independent from operations and occupancy. This report outlines the technical protocol used to generate the energy asset score, explains the scoring methodology, and provides additional details regarding the energy asset scoring tool. The alternative methods that were considered prior to developing the current approach are described in the Program Overview and Technical Protocol Version 1.0.

Wang, Na; Goel, Supriya; Makhmalbaf, Atefe

2013-08-09T23:59:59.000Z

295

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

296

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

297

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

298

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

299

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

300

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

Note: This page contains sample records for the topic "total evaluation score" 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

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

302

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

303

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

304

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

305

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

306

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

307

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

308

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

309

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

310

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

311

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

312

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

313

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

314

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

315

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

316

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

317

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.

318

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

319

Total integrals of global solutions to Painleve II  

E-Print Network [OSTI]

We evaluate the total integral from negative infinity to positive infinity of all global solutions to the Painleve II equation on the real line. The method is based on the interplay between one of the equations of the associated Lax pair and the corresponding Riemann-Hilbert problem. In addition, we evaluate the total integral of a function related to a special solution to the Painleve V equation. As a corollary, we obtain short proofs of the computation of the constant terms of the limiting gap probabilities in the edge and the bulk of the Gaussian Orthogonal and Gaussian Symplectic Ensembles that were obtained recently in [4] and [18]. We also evaluate the total integrals of certain polynomials of the Painleve functions and their derivatives. These polynomials are the densities of the first integrals of the modified Korteweg-de Vries equation. We discuss the relations of the formulae we have obtained to the classical trace formulae for the Dirac operator on the line.

Jinho Baik; Robert Buckingham; Jeffery DiFranco; Alexander Its

2008-10-15T23:59:59.000Z

320

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

Note: This page contains sample records for the topic "total evaluation score" 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

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

322

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

323

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

324

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

325

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

326

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

327

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

328

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

329

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

330

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

331

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

332

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

333

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

334

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...

335

,"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"...

336

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 &...

337

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...

338

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

339

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

340

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

Note: This page contains sample records for the topic "total evaluation score" 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

Combining gene expression and interaction network data to improve kidney lesion score prediction  

Science Journals Connector (OSTI)

Current method of diagnosing kidney rejection based on histopathology of renal biopsies in form of lesion scores is error-prone. Researchers use gene expression microarrays in combination of machine learning to build better kidney rejection predictors. However the high dimensionality of data makes this task challenging and compels application of feature selection methods. We present a method for predicting lesions using combination of statistical and biological feature selection methods along with an ensemble learning technique. Results show that combining highly interacting genes (Hub Genes) from protein-protein interaction network with genes selected by squared t-test method brings the most accurate kidney lesion score predictor.

Davoud Moulavi; Mohsen Hajiloo; Jorg Sander; Philip F. Halloran; Russell Greiner

2012-01-01T23:59:59.000Z

342

Protein secondary structure prediction by combining hidden Markov models and sliding window scores  

Science Journals Connector (OSTI)

Instead of conformation states of single residues, refined conformation states of quintuplets are proposed to reflect conformation correlation. Simple hidden Markov models combined with sliding window scores are used to predict the secondary structure of a protein from its amino acid sequence. Since the length of protein conformation segments varies within a narrow range, we can ignore the duration effect of the length distribution. The window scores for residues are a window version of the Chou-Fasman propensities estimated under an approximation of conditional independency. Different window widths are examined, and the optimal width is found to be 17. A high accuracy of about 70% is achieved.

Wei-Mou Zheng

2005-01-01T23:59:59.000Z

343

DEVELOPMENT OF A WEB-BASED BLIND TEST TO SCORE AND RANK HYPERSPECTRAL CLASSIFICATION ALGORITHMS  

E-Print Network [OSTI]

://dirsapps.cis.rit.edu/classtest/. 1. INTRODUCTION The accuracy of land cover classification algorithms applied to hyperspectral remoteDEVELOPMENT OF A WEB-BASED BLIND TEST TO SCORE AND RANK HYPERSPECTRAL CLASSIFICATION ALGORITHMS K ABSTRACT Remotely sensed hyperspectral imagery plays an important role in land cover classification

Kerekes, John

344

Step 2: Click on the test title Step 3: Click on the test score  

E-Print Network [OSTI]

Step 2: Click on the test title Step 3: Click on the test score Step 1: Click on "My Grades test results in HuskyCT Instructors apply settings that determine the extent of the feedback that students see after taking a test in HuskyCT and when that information becomes available. Minimal

Alpay, S. Pamir

345

Adjusting for selection bias in Web surveys using propensity scores: the case of the Health  

E-Print Network [OSTI]

Adjusting for selection bias in Web surveys using propensity scores: the case of the Health at the Joint Statistical Meetings, Toronto, August 2004. Abstract Many web surveys allow respondents to self as supplementary information about which subset of HRS respondents also responded to an additional web survey (web

Schonlau, Matt

346

CALL FOR PAPERS Workshop Score/CSO/CARR: The Organization of Knowledge  

E-Print Network [OSTI]

1 CALL FOR PAPERS Workshop Score/CSO/CARR: The Organization of Knowledge 29-30 May 2012 Workshop for this collaboration: "The Organization of Knowledge". The particular topics for the workshop is mainly developed theme and the specific topics elaborated on in the following. The organization of knowledge The theme

347

Reranking with Baseline System Scores and Ranks as Features Kristy Hollingshead and Brian Roark  

E-Print Network [OSTI]

to repair these problems. Additional methods for deriv- ing score features from the output of baseline), the technique of "self-training" was used within the Charniak and Johnson (2005) parsing pipeline, whereby performance of the baseline Char- niak and Johnson (2005) parsing pipeline, a very im- pressive result

Roark, Brian

348

Energy Department Updates Home Energy Scoring Tool for Advancing Residential Energy Performance  

Office of Energy Efficiency and Renewable Energy (EERE)

As part of the Energy Department's commitment to helping families across the U.S. save money by saving energy, the Department announced today its first major software update to the Home Energy Scoring Tool, developed by the Department's Building Technologies Office and Lawrence Berkeley National Laboratory (LBNL).

349

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

350

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

351

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

352

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

353

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

354

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

355

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

356

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

357

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

358

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

359

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

360

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

Note: This page contains sample records for the topic "total evaluation score" 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

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

362

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

363

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

364

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

365

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

366

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

367

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

368

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

369

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

370

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

371

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

372

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

373

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

374

Million Cu. Feet Percent of National Total  

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

6 6 Michigan - 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 S24. Summary statistics for natural gas - Michigan, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 9,995 10,600 10,100 11,100 10,900 Production (million cubic feet) Gross Withdrawals From Gas Wells 16,959 20,867 7,345 18,470 17,041 From Oil Wells 10,716 12,919 9,453 11,620 4,470 From Coalbed Wells 0

375

Million Cu. Feet Percent of National Total  

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

8 8 West Virginia - 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 S50. Summary statistics for natural gas - West Virginia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 49,364 50,602 52,498 56,813 50,700 Production (million cubic feet) Gross Withdrawals From Gas Wells 191,444 192,896 151,401 167,113 397,313 From Oil Wells 0 0 0 0 1,477 From Coalbed Wells 0

376

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

80 80 Wyoming - 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 S52. Summary statistics for natural gas - Wyoming, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 27,350 28,969 25,710 26,124 26,180 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,649,284 R 1,764,084 R 1,806,807 R 1,787,599 1,709,218 From Oil Wells 159,039 156,133 135,269 151,871 152,589

377

Million Cu. Feet Percent of National Total  

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

6 6 New York - 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 S34. Summary statistics for natural gas - New York, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,675 6,628 6,736 6,157 7,176 Production (million cubic feet) Gross Withdrawals From Gas Wells 49,607 44,273 35,163 30,495 25,985 From Oil Wells 714 576 650 629 439 From Coalbed Wells 0

378

Million Cu. Feet Percent of National Total  

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

2 2 Wyoming - 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 S52. Summary statistics for natural gas - Wyoming, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 28,969 25,710 26,124 26,180 22,171 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,764,084 1,806,807 1,787,599 1,709,218 1,762,095 From Oil Wells 156,133 135,269 151,871 152,589 24,544

379

Million Cu. Feet Percent of National Total  

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

4 4 Virginia - 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 S48. Summary statistics for natural gas - Virginia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,426 7,303 7,470 7,903 7,843 Production (million cubic feet) Gross Withdrawals From Gas Wells 7,419 16,046 23,086 20,375 21,802 From Oil Wells 0 0 0 0 9 From Coalbed Wells 101,567 106,408

380

Million Cu. Feet Percent of National Total  

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

6 6 Kentucky - 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 S19. Summary statistics for natural gas - Kentucky, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 16,290 17,152 17,670 14,632 17,936 Production (million cubic feet) Gross Withdrawals From Gas Wells 112,587 111,782 133,521 122,578 106,122 From Oil Wells 1,529 1,518 1,809 1,665 0 From Coalbed Wells 0

Note: This page contains sample records for the topic "total evaluation score" 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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Pennsylvania - 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 S40. Summary statistics for natural gas - Pennsylvania, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 52,700 55,631 57,356 44,500 54,347 Production (million cubic feet) Gross Withdrawals From Gas Wells 182,277 R 188,538 R 184,795 R 173,450 242,305 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0

382

Total synthesis and study of myrmicarin alkaloids  

E-Print Network [OSTI]

I. Enantioselective Total Synthesis of Tricyclic Myrmicarin Alkaloids An enantioselective gram-scale synthesis of a key dihydroindolizine intermediate for the preparation of myrmicarin alkaloids is described. Key transformations ...

Ondrus, Alison Evelynn, 1981-

2009-01-01T23:59:59.000Z

383

Total synthesis of cyclotryptamine and diketopiperazine alkaloids  

E-Print Network [OSTI]

I. Total Synthesis of the (+)-12,12'-Dideoxyverticillin A The fungal metabolite (+)-12,12'-dideoxyverticillin A, a cytotoxic alkaloid isolated from a marine Penicillium sp., belongs to a fascinating family of densely ...

Kim, Justin, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

384

Provides Total Tuition Charge to Source Contribution  

E-Print Network [OSTI]

,262 1,938 TGR 4-20 0-3 2,871 2,871 - % of time appointed Hours of Work/Week Units TAL Provides Total

Kay, Mark A.

385

Enantioselective Total Synthesis of (?)-Acylfulvene and (?)- Irofulven  

E-Print Network [OSTI]

We report our full account of the enantioselective total synthesis of (?)-acylfulvene (1) and (?)-irofulven (2), which features metathesis reactions for the rapid assembly of the molecular framework of these antitumor ...

Movassaghi, Mohammad

386

A GENUINELY HIGH ORDER TOTAL VARIATION DIMINISHING ...  

E-Print Network [OSTI]

(TVD) schemes solving one-dimensional scalar conservation laws degenerate to first order .... where the total variation is measured by the standard bounded variation ..... interval Ij and into the jump discontinuities at cell interfaces, see [12].

387

Million Cu. Feet Percent of National Total  

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

8 8 Texas - 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 S45. Summary statistics for natural gas - Texas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 87,556 93,507 95,014 100,966 96,617 Production (million cubic feet) Gross Withdrawals From Gas Wells 5,285,458 4,860,377 4,441,188 3,794,952 3,619,901 From Oil Wells 745,587 774,821 849,560 1,073,301 860,675

388

Million Cu. Feet Percent of National Total  

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

0 0 Alabama - 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 S1. Summary statistics for natural gas - Alabama, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,860 6,913 7,026 7,063 6,327 Production (million cubic feet) Gross Withdrawals From Gas Wells 158,964 142,509 131,448 116,872 114,407 From Oil Wells 6,368 5,758 6,195 5,975 10,978

389

Million Cu. Feet Percent of National Total  

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

8 8 Louisiana - 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 S20. Summary statistics for natural gas - Louisiana, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 19,213 18,860 19,137 21,235 19,792 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,288,559 1,100,007 911,967 883,712 775,506 From Oil Wells 61,663 58,037 63,638 68,505 49,380

390

Million Cu. Feet Percent of National Total  

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

4 4 South 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 S43. Summary statistics for natural gas - South Dakota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 71 89 102 100 95 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,098 1,561 1,300 933 14,396 From Oil Wells 10,909 11,366 11,240 11,516 689 From Coalbed Wells 0 0 0 0 0

391

Million Cu. Feet Percent of National Total  

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

4 4 Kansas - 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 S18. Summary statistics for natural gas - Kansas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 17,862 21,243 22,145 25,758 24,697 Production (million cubic feet) Gross Withdrawals From Gas Wells 286,210 269,086 247,651 236,834 264,610 From Oil Wells 45,038 42,647 39,071 37,194 0 From Coalbed Wells 44,066

392

Million Cu. Feet Percent of National Total  

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

6 6 Arkansas - 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 S4. Summary statistics for natural gas - Arkansas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 5,592 6,314 7,397 8,388 8,538 Production (million cubic feet) Gross Withdrawals From Gas Wells 173,975 164,316 152,108 132,230 121,684 From Oil Wells 7,378 5,743 5,691 9,291 3,000

393

Million Cu. Feet Percent of National Total  

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

8 8 California - 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 S5. Summary statistics for natural gas - California, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 1,645 1,643 1,580 1,308 1,423 Production (million cubic feet) Gross Withdrawals From Gas Wells 91,460 82,288 73,017 63,902 120,579 From Oil Wells 122,345 121,949 151,369 120,880 70,900

394

Million Cu. Feet Percent of National Total  

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

4 4 Oklahoma - 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 S38. Summary statistics for natural gas - Oklahoma, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 41,921 43,600 44,000 41,238 40,000 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,452,148 1,413,759 1,140,111 1,281,794 1,394,859 From Oil Wells 153,227 92,467 210,492 104,703 53,720

395

Million Cu. Feet Percent of National Total  

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

2 2 Alaska - 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 S2. Summary statistics for natural gas - Alaska, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 261 261 269 277 185 Production (million cubic feet) Gross Withdrawals From Gas Wells 150,483 137,639 127,417 112,268 107,873 From Oil Wells 3,265,401 3,174,747 3,069,683 3,050,654 3,056,918

396

| Los Alamos National Laboratory | Total Scattering Developments forTotal Scattering Developments for  

E-Print Network [OSTI]

Laboratory | Total Scattering at the Lujan Center Neutron Powder Diffractometer (NPDF) High-Intensity Powder. Shoemaker, et al., Reverse Monte Carlo neutron scattering study of disordered crystalline materials neutron| Los Alamos National Laboratory | Total Scattering Developments forTotal Scattering Developments

Magee, Joseph W.

397

Evaluation of disposition scores in Bos indicus/Bos taurus cross calves at different stages of production  

E-Print Network [OSTI]

to 5. Between sires for overall disposition, calves by 297J were lowest at weaning (2.83), before slaughter (2.84), and at slaughter (2.45) and second lowest in first calf heifers (2.27). Calves by 437J were highest at weaning (4.10), before... Family Sire Dam Offspring Bulls Heifers Steers 70 297J 431H 33 0 15 18 71 297J 760H 63 2 29 32 72 432H 511G 45 1 20 24 73 432H 732H 8 0 2 6 74 437J 640H 8 0 4 4 75 437J 728H 36 1 19 16 76 551G 664J 7 0 2 5 77 551G 787G 41 1 17 23 80 551G 429H 66...

Funkhouser, Rena Rebecca

2008-10-10T23:59:59.000Z

398

A method for evaluating the structural quality of protein models by using higher-order ?–? pairs scoring  

Science Journals Connector (OSTI)

...fragment length, k, the coarser the bin. 1 Lakowski R. A. MacArthur M. W. Moss D. S. Thornton J. M. ( 1993...1963 ) J. Mol. Biol 7 : 95 – 99 , 13990617 . 10 Pappu R. V. Srinivasan R. Rose G. D. ( 2005 ) Proc. Natl. Acad. Sci. USA...

Gregory E. Sims; Sung-Hou Kim

2006-01-01T23:59:59.000Z

399

Energy Perspectives, Total Energy - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Total Energy Glossary › FAQS › Overview Data Monthly Annual Analysis & Projections this will be filled with a highchart PREVIOUSNEXT Energy Perspectives 1949-2011 September 2012 PDF | previous editions Release Date: September 27, 2012 Introduction Energy Perspectives is a graphical overview of energy history in the United States. The 42 graphs shown here reveal sweeping trends related to the Nation's production, consumption, and trade of energy from 1949 through 2011. Energy Flow, 2011 (Quadrillion Btu) Total Energy Flow diagram image For footnotes see here. Energy can be grouped into three broad categories. First, and by far the largest, is the fossil fuels-coal, petroleum, and natural gas. Fossil fuels have stored the sun's energy over millennia past, and it is primarily

400

Property:TotalValue | Open Energy Information  

Open Energy Info (EERE)

TotalValue TotalValue Jump to: navigation, search This is a property of type Number. Pages using the property "TotalValue" Showing 25 pages using this property. (previous 25) (next 25) 4 44 Tech Inc. Smart Grid Demonstration Project + 10,000,000 + A ALLETE Inc., d/b/a Minnesota Power Smart Grid Project + 3,088,007 + Amber Kinetics, Inc. Smart Grid Demonstration Project + 10,000,000 + American Transmission Company LLC II Smart Grid Project + 22,888,360 + American Transmission Company LLC Smart Grid Project + 2,661,650 + Atlantic City Electric Company Smart Grid Project + 37,400,000 + Avista Utilities Smart Grid Project + 40,000,000 + B Baltimore Gas and Electric Company Smart Grid Project + 451,814,234 + Battelle Memorial Institute, Pacific Northwest Division Smart Grid Demonstration Project + 177,642,503 +

Note: This page contains sample records for the topic "total evaluation score" 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

ARM - Measurement - Net broadband total irradiance  

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

govMeasurementsNet broadband total irradiance govMeasurementsNet broadband total irradiance 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 : Net broadband total irradiance The difference between upwelling and downwelling, covering longwave and shortwave radiation. Categories Radiometric 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. ARM Instruments EBBR : Energy Balance Bowen Ratio Station SEBS : Surface Energy Balance System External Instruments ECMWF : European Centre for Medium Range Weather Forecasts Model

402

SolarTotal | Open Energy Information  

Open Energy Info (EERE)

SolarTotal SolarTotal Jump to: navigation, search Name SolarTotal Place Bemmel, Netherlands Zip 6681 LN Sector Solar Product The company sells and installs PV solar instalations Coordinates 51.894112°, 5.89881° 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":51.894112,"lon":5.89881,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

403

Total Cross Sections for Neutron Scattering  

E-Print Network [OSTI]

Measurements of neutron total cross-sections are both extensive and extremely accurate. Although they place a strong constraint on theoretically constructed models, there are relatively few comparisons of predictions with experiment. The total cross-sections for neutron scattering from $^{16}$O and $^{40}$Ca are calculated as a function of energy from $50-700$~MeV laboratory energy with a microscopic first order optical potential derived within the framework of the Watson expansion. Although these results are already in qualitative agreement with the data, the inclusion of medium corrections to the propagator is essential to correctly predict the energy dependence given by the experiment.

C. R. Chinn; Ch. Elster; R. M. Thaler; S. P. Weppner

1994-10-19T23:59:59.000Z

404

National Fuel Cell and Hydrogen Energy Overview: Total Energy...  

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

and Hydrogen Energy Overview: Total Energy USA 2012 National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 Presentation by Sunita Satyapal at the Total Energy USA...

405

Assessment of the U.S. Department of Energy's Home Energy Scoring Tool  

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

the U.S. the U.S. Department of Energy's Home Energy Scoring Tool David Roberts, Noel Merket, Ben Polly, Mike Heaney, Sean Casey, and Joseph Robertson National Renewable Energy Laboratory Technical Report NREL/TP-5500-54074 July 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 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Assessment of the U.S. Department of Energy's Home Energy Scoring Tool David Roberts, Noel Merket, Ben Polly, Mike Heaney, Sean Casey, and Joseph Robertson National Renewable Energy Laboratory

406

Eligibility criteria for the 1-100 ENERGY STAR score | ENERGY STAR  

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

Eligibility criteria for the 1-100 ENERGY STAR score Eligibility criteria for the 1-100 ENERGY STAR score Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Learn the benefits Get started Use Portfolio Manager The new ENERGY STAR Portfolio Manager How Portfolio Manager helps you save The benchmarking starter kit Identify your property type Enter data into Portfolio Manager The data quality checker

407

Property types eligible to receive a 1-100 ENERGY STAR score | ENERGY STAR  

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

Identify your property type Identify your property type » Property types eligible to receive a 1-100 ENERGY STAR score Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Learn the benefits Get started Use Portfolio Manager The new ENERGY STAR Portfolio Manager How Portfolio Manager helps you save The benchmarking starter kit Identify your property type Property types eligible to receive a 1-100 ENERGY STAR score

408

MA FI QPR Scoring Elements 1st Qtr FY 2010_091020.xls  

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

st st Blank Reference Due Date Element Measure Critical? Score > ≤ 11/15 11/15 11/22 11/22 90% 100% 80% 90% 0% 80% 11/13 11/13 10/14 12/30 1/1/10 2/13/10 11/13 11/13 11/13 11/13 11/13 11/13 Program specific elements, negotiated with Programs: Program specific measures, negotiated with Programs: Overall Score: Green * All critical elements green, and * No more then one non-critical element yellow Yellow * Any critical element yellow, or * Any non-critical red, or * Two or more non-critical elements yellow Red * Any critical element red or * Two or more non-critical elements red TYRT 3.4 DOE O 430.1B Yes Submission timeliness Capture sustainability data in FIMS. November 13, 2009 Provide OECM FIMS Data Validation schedule for each of your sites

409

Home Energy Score: 3-D Simulation Training and Testing for Assessor Candidates  

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

Training and Testing Options Training and Testing Options for Assessor Candidates DOE has acknowledged that the advanced nature and extra cost of the third-party professional certifications may discourage potential candidates from becoming Qualified Assessors. Additionally, DOE has identified an opportunity to make improvements to both the Home Energy Score online training and the online test by utilizing 3-D immersive simulation software to ascertain whether assessor candidates possess the

410

Assessment of the U.S. Department of Energy's Home Energy Scoring Tool  

SciTech Connect (OSTI)

The National Renewable Energy Laboratory (NREL) conducted a series of assessments of the U.S. Department of Energy's (DOE) proposed Home Energy Scoring Tool (HEST). This report is an assessment of the 4/27/2012 release of HEST. Predictions of electric and natural gas consumption were compared with weather-normalized utility billing data for a mixture of newer and older homes located in Oregon, Wisconsin, Minnesota, North Carolina and Texas.

Roberts, D.; Merket, N.; Polly, B.; Heaney, M.; Casey, S.; Robertson, J.

2012-07-01T23:59:59.000Z

411

MA FI QPR Scoring Elements 4th Qtr FY 2009 Revision v1.xls  

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

Reference Reference Due Date Element Measure Critical? Score > ≤ 8/15 8/15 8/22 8/22 95% 100% 80% 95% 0% 80% 2.0% 1.8% 2.0% 0.0% 1.8% 1.0% 0.5% 1.0% 0.0% 0.5% 8/30 8/30 99.9% 0.0% 99.9% 9/30 9/30 9/30 9/30 Program specific elements, negotiated with Programs: Program specific measures, negotiated with Programs: Overall Score: Green * All critical elements green, and * No more then one non-critical element yellow Yellow * Any critical element yellow, or * Any non-critical red, or * Two or more non-critical elements yellow Red * Any critical element red or * Two or more non-critical elements red TYRT September 30, 2009 Input submitted to update TYRT Submission timeliness 1 1 2 2 Enter Date or Percentage Proximity to spending target August 15, 2009 Overall Score: Yes MA F&I Quarterly Performance Report

412

Evaluation of Methods for Predicting Seepage Loss Rates for the Hard Lined Irrigation Canals of the Lower Rio Grande Valley of Texas  

E-Print Network [OSTI]

on 32 canal sections. The condition rating scores were evaluated for 26 of these canals. Test calculation revisions and testing errors were first evaluated to understand the potential impacts to the seepage loss rates and condition rating system...

Leigh, Eric

2014-01-15T23:59:59.000Z

413

The Leica TCRA1105 Reflectorless Total Station  

SciTech Connect (OSTI)

This poster provides an overview of SLAC's TCRA1105 reflectorless total station for the Alignment Engineering Group. This instrument has shown itself to be very useful for planning new construction and providing quick measurements to difficult to reach or inaccessible surfaces.

Gaudreault, F.

2005-09-06T23:59:59.000Z

414

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION  

E-Print Network [OSTI]

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION BERND WITTGENS, RAJAB LITTO, EVA SÃ?RENSEN in this paper provides a generalization of previously proposed batch distillation schemes. A simple feedback been built and the experiments verify the simulations. INTRODUCTION Although batch distillation

Skogestad, Sigurd

415

Total Solar Irradiance Satellite Composites and their  

E-Print Network [OSTI]

Chapter 12 Total Solar Irradiance Satellite Composites and their Phenomenological Effect on Climate. Phenomenological solar signature on climate 310 9. Conclusion 312 1. INTRODUCTION A contiguoustotal solar from each other, in particular about whether the TSI minimum during solar Cycles 22e23 (1995

Scafetta, Nicola

416

Total synthesis and study of myrmicarin alkaloids  

E-Print Network [OSTI]

The myrmicarins are a family of air- and temperature-sensitive alkaloids that possess unique structural features. Our concise enantioselective synthesis of the tricyclic myrmicarins enabled evaluation of a potentially ...

Ondrus, Alison E.

417

Program Evaluation  

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

Evaluation: Background and Methods Evaluation: Background and Methods Definition of evaluation: the process of determining the worth or merit of something; if "something" is a program, then it's "program evaluation." Other types of evaluation include: product evaluation (most widely practiced, e.g., Consumer Reports); personnel evaluation; research evaluation; policy studies; art, movie, play, and book reviews. Program evaluation is NOT the same as research although they share many characteristics--Both: Start with questions Use similar methods Provide similar information Program evaluation focuses on decisions. Research focuses on answering questions about phenomena to discover new knowledge and test theories/hypotheses. Research is aimed at truth. Evaluation is aimed at

418

Contractor: Contract Number: Contract Type: Total Estimated  

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

Number: Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 $2,550,203 FY2009 $39,646,446 FY2010 $64,874,187 FY2011 $66,253,207 FY2012 $41,492,503 FY2013 $0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Earned $214,816,546 Fee Available $2,550,203 Minimum Fee $77,931,569 $69,660,249 Savannah River Nuclear Solutions LLC $458,687,779 $0 Maximum Fee Fee Information $88,851,963 EM Contractor Fee Site: Savannah River Site Office, Aiken, SC Contract Name: Management & Operating Contract September 2013 DE-AC09-08SR22470

419

ARM - Measurement - Shortwave broadband total downwelling irradiance  

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

downwelling irradiance downwelling irradiance 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 : Shortwave broadband total downwelling irradiance The total diffuse and direct radiant energy that comes from some continuous range of directions, at wavelengths between 0.4 and 4 {mu}m, that is being emitted downwards. Categories Radiometric 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. ARM Instruments AMC : Ameriflux Measurement Component BSRN : Baseline Solar Radiation Network

420

Total Neutron Scattering in Vitreous Silica  

Science Journals Connector (OSTI)

The structure of Corning superpure vitreous silica glass has been investigated with neutrons. A new method of analysis using variable neutron wavelengths and the measurement of total scattering cross sections from transmission experiments is developed and the results are compared with those from differential x-ray scattering. The total neutron scattering method permits a simple and direct structure analysis with resolution apparently superior to x-rays. The preliminary results compare well in a first approximation analysis with the basic structure model of Warren and others and in addition the neutron-determined atomic radial distribution curve exhibits some finer details than the x-ray results. Thermal inelastic scattering of neutrons was corrected for in an approximate way.

R. J. Breen; R. M. Delaney; P. J. Persiani; A. H. Weber

1957-01-15T23:59:59.000Z

Note: This page contains sample records for the topic "total evaluation score" 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

Tropical Africa: Total Forest Biomass (By Country)  

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

Tropical Africa: Total Forest Biomass (By Country) Tropical Africa: Total Forest Biomass (By Country) image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNL/CDIAC-92, NDP-055. Carbon Dioxide Information Analysis Center, U.S. Department of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. More Maps Calculated Actual Aboveground Live Biomass in Forests (1980) Maximum Potential Biomass Density Land Use (1980) Area of Closed Forests (By Country) Mean Biomass of Closed Forests (By County) Area of Open Forests (By Country) Mean Biomass of Open Forests (By County) Percent Forest Cover (By Country) Population Density - 1990 (By Administrative Unit) Population Density - 1980 (By Administrative Unit) Population Density - 1970 (By Administrative Unit)

422

Frustrated total internal reflection acoustic field sensor  

DOE Patents [OSTI]

A frustrated total internal reflection acoustic field sensor which allows the acquisition of the acoustic field over an entire plane, all at once. The sensor finds use in acoustic holography and acoustic diffraction tomography. For example, the sensor may be produced by a transparent plate with transparent support members tall enough to support one or more flexible membranes at an appropriate height for frustrated total internal reflection to occur. An acoustic wave causes the membrane to deflect away from its quiescent position and thus changes the amount of light that tunnels through the gap formed by the support members and into the membrane, and so changes the amount of light reflected by the membrane. The sensor(s) is illuminated by a uniform tight field, and the reflection from the sensor yields acoustic wave amplitude and phase information which can be picked up electronically or otherwise.

Kallman, Jeffrey S. (Pleasanton, CA)

2000-01-01T23:59:59.000Z

423

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

424

Improved selection in totally monotone arrays  

SciTech Connect (OSTI)

This paper's main result is an O(({radical}{bar m}lgm)(n lg n) + mlg n)-time algorithm for computing the kth smallest entry in each row of an m {times} n totally monotone array. (A two-dimensional A = a(i,j) is totally monotone if for all i{sub 1} < i{sub 2} and j{sub 1} < j{sup 2}, < a(i{sub 1},j{sub 2}) implies a(i{sub 2},j{sub 1})). For large values of k (in particular, for k=(n/2)), this algorithm is significantly faster than the O(k(m+n))-time algorithm for the same problem due to Kravets and Park. An immediate consequence of this result is an O(n{sup 3/2} lg{sup 2}n)-time algorithm for computing the kth nearest neighbor of each vertex of a convex n-gon. In addition to the main result, we also give an O(n lg m)-time algorithm for computing an approximate median in each row of an m {times} n totally monotone array; this approximate median is an entry whose rank in its row lies between (n/4) and (3n/4) {minus} 1. 20 refs., 3 figs.

Mansour, Y. (Harvard Univ., Cambridge, MA (United States). Aiken Computation Lab.); Park, J.K. (Sandia National Labs., Albuquerque, NM (United States)); Schieber, B. (International Business Machines Corp., Yorktown Heights, NY (United States). Thomas J. Watson Research Center); Sen, S. (AT and T Bell Labs., Murray Hill, NJ (United States))

1991-01-01T23:59:59.000Z

425

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":""}]}

426

Groningen temporomandibular total joint prosthesis: An 8-year longitudinal follow-up on function and pain  

Science Journals Connector (OSTI)

Total temporomandibular joint replacement is a surgical procedure for patients with severe temporomandibular joint afflictions affecting quality of life, which have not responded beneficially to previous conventional surgery. The aim of this study was to assess the long-term outcome of the Groningen temporomandibular joint (TMJ) prosthesis in patients with chronic pain and mutilated temporomandibular joints following multiple surgical procedures, with respect to prosthesis failure, the patient's postoperative level of satisfaction and longitudinal changes in maximum mouth opening, functional mandibular impairment and pain. Eight female patients were studied in whom Groningen TMJ prostheses were inserted, two unilaterally and six bilaterally. The Groningen TMJ prosthesis was mechanically successful during 8 years of follow-up in seven out of eight patients with a disc dislocation being seen in one patient (7%). Patients were satisfied, despite the limited improvement of the maximum mouth opening, and pain scores. Although the decline of MFIQ scores during 8 years of follow-up was significant compared to baseline (p = 0.027), the effects of the prosthesis on maximum mouth opening, function and pain were limited. This may be due to persistent chronic pain and the adverse effects of multiple previous surgical procedures.

Jennifer M. Schuurhuis; Pieter U. Dijkstra; Boudewijn Stegenga; Lambert G.M. de Bont; Fred K.L. Spijkervet

2012-01-01T23:59:59.000Z

427

Notices Total Estimated Number of Annual  

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

72 Federal Register 72 Federal Register / Vol. 78, No. 181 / Wednesday, September 18, 2013 / Notices Total Estimated Number of Annual Burden Hours: 10,128. Abstract: Enrollment in the Federal Student Aid (FSA) Student Aid Internet Gateway (SAIG) allows eligible entities to securely exchange Title IV, Higher Education Act (HEA) assistance programs data electronically with the Department of Education processors. Organizations establish Destination Point Administrators (DPAs) to transmit, receive, view and update student financial aid records using telecommunication software. Eligible respondents include the following, but are not limited to, institutions of higher education that participate in Title IV, HEA assistance programs, third-party servicers of eligible institutions,

428

Total solar house description and performance  

SciTech Connect (OSTI)

The initial attempt to apply the Total Solar concept to a residence in the Philadelphia, Pennsylvania, area is described. A very large storage capacity has made it possible to use only solar energy for meeting the heating, cooling and hot water needs for the entire year, with a parasitic power penalty of about 3500 kWh. Winter temperatures were maintained at 68/sup 0/F with 60/sup 0/F night setback, summer at 76/sup 0/F. Occupant intervention was negligible and passive overheat was minimized. The extra cost for the system, approximately $30,000 is readily amortized by the savings in purchased energy.

Starobin, L. (Univ. of Pennsylvania, Philadelphia); Starobin, J.

1981-01-01T23:59:59.000Z

429

Neutron Total Cross Sections at 20 Mev  

Science Journals Connector (OSTI)

With the T(d, n)He4 reaction as a monoenergetic source of neutrons of about 20 Mev, the total cross sections of 13 elements have been measured by a transmission experiment. These cross sections vary approximately as A23 as is to be expected from the continuum theory of nuclear reactions. The cross section for hydrogen at 19.93 Mev is 0.504±0.01 barn. This result, together with other results at lower energies, seems to require a Yukawa potential in both the singlet and triplet n-p states and a singlet effective range that is lower than that obtained from p-p scattering data.

Robert B. Day and Richard L. Henkel

1953-10-15T23:59:59.000Z

430

Overall scores as an alternative to global ratings in patient experience surveys; a comparison of four methods  

Science Journals Connector (OSTI)

Global ratings of healthcare by patients are a popular way of summarizing patients’ experiences. Summary scores can be used for comparing healthcare provider performance and provider rankings. As an alternativ...

Maarten W Krol; Dolf de Boer; Jany JDJM Rademakers…

2013-11-01T23:59:59.000Z

431

Total Pollution Effect and Total Energy Cost per Output of Different Products for Polish Industrial System  

Science Journals Connector (OSTI)

For many years a broad use has been made of the indices of total energy requirements in the whole large production system corresponding to unit output of particular goods (Boustead I., Hancock G.F., 1979). The...

Henryk W. Balandynowicz

1988-01-01T23:59:59.000Z

432

Total Sales of Residual Fuel Oil  

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

End Use: Total Commercial Industrial Oil Company Electric Power Vessel Bunkering Military All Other Period: End Use: Total Commercial Industrial Oil Company Electric Power Vessel Bunkering Military 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. 10,706,479 8,341,552 6,908,028 7,233,765 6,358,120 6,022,115 1984-2012 East Coast (PADD 1) 5,527,235 4,043,975 2,972,575 2,994,245 2,397,932 2,019,294 1984-2012 New England (PADD 1A) 614,965 435,262 281,895 218,926 150,462 101,957 1984-2012 Connecticut 88,053 33,494 31,508 41,686 6,534 5,540 1984-2012 Maine 152,082 110,648 129,181 92,567 83,603 49,235 1984-2012 Massachusetts 300,530 230,057 59,627 52,228 34,862 30,474 1984-2012

433

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ........................... 1,870 1,276 322 138 133 43.0 29.4 7.4 3.2 3.1 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 243 151 34 40 18 78.7 48.9 11.1 13.0 5.7 5,001 to 10,000 .......................... 202 139 31 29 Q 54.8 37.6 8.5 7.9 Q 10,001 to 25,000 ........................ 300 240 31 21 7 42.5 34.1 4.4 3.0 1.1 25,001 to 50,000 ........................ 250 182 40 11 Q 41.5 30.2 6.6 1.9 Q 50,001 to 100,000 ...................... 236 169 41 8 19 35.4 25.2 6.2 1.2 2.8 100,001 to 200,000 .................... 241 165 54 7 16 36.3 24.8 8.1 1.0 2.4 200,001 to 500,000 .................... 199 130 42 11 16 35.0 22.8 7.5 1.9 2.8 Over 500,000 ............................. 198

434

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ............................. 2,037 1,378 338 159 163 42.0 28.4 7.0 3.3 3.4 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 249 156 35 41 18 78.6 49.1 11.0 12.9 5.6 5,001 to 10,000 .......................... 218 147 32 31 7 54.8 37.1 8.1 7.9 1.7 10,001 to 25,000 ........................ 343 265 34 25 18 43.8 33.9 4.4 3.2 2.3 25,001 to 50,000 ........................ 270 196 41 13 Q 40.9 29.7 6.3 2.0 2.9 50,001 to 100,000 ...................... 269 186 45 13 24 35.8 24.8 6.0 1.8 3.2 100,001 to 200,000 .................... 267 182 56 10 19 35.4 24.1 7.4 1.3 2.6 200,001 to 500,000 .................... 204 134 43 11 17 34.7 22.7 7.3 1.8 2.9 Over 500,000 .............................

435

Redes bayesianas aplicadas a problemas de credit scoring. Una aplicación práctica  

Science Journals Connector (OSTI)

Resumen En este artículo se aborda la forma de construir un clasificador eficiente a través de redes bayesianas utilizadas en la minería de datos y cuya finalidad es conseguir más precisión que otros modelos empleados en los problemas de credit scoring. El enfoque bayesiano, basado en modelos de probabilidad, emplea la teoría de la decisión para el análisis del riesgo eligiendo en cada situación que se presenta la acción que maximiza la utilidad esperada. Usando una muestra de datos bancarios reales se concluye la superior capacidad predictiva de estos modelos respecto a los resultados obtenidos por otros métodos estadísticos paramétricos y no paramétricos. Abstract This paper analyses how to build an efficient classifier across Bayesians networks used in data mining. The purpose of using the Bayesian model is to improve credit scoring accuracy. The Bayesian approach, based on probability models, analyses risk by using the decision theory, yielding as a solution that action that maximizes the expected utility. Expert assessment may be included in the model. To show the superiority of the Bayesian approach, results obtained for real bank data are compared with those obtained with alternative parametric and non-parametric models.

Mauricio Beltrán Pascual; Azahara Muñoz Martínez; Ángel Muñoz Alamillos

2014-01-01T23:59:59.000Z

436

The TSCA interagency testing committee`s approaches to screening and scoring chemicals and chemical groups: 1977-1983  

SciTech Connect (OSTI)

This paper describes the TSCA interagency testing committee`s (ITC) approaches to screening and scoring chemicals and chemical groups between 1977 and 1983. During this time the ITC conducted five scoring exercises to select chemicals and chemical groups for detailed review and to determine which of these chemicals and chemical groups should be added to the TSCA Section 4(e) Priority Testing List. 29 refs., 1 fig., 2 tabs.

Walker, J.D. [Environmental Protection Agency, Washington, DC (United States)

1990-12-31T23:59:59.000Z

437

Study on Total Instantaneous Blockage Accident for CEFR  

SciTech Connect (OSTI)

Chinese Experimental Fast Reactor (CEFR) is under construction in China. It is essential to investigate core disruptive accidents (CDAs) for the evaluation of CEFR's safety characteristic. Accident of total instantaneous blockage in single assembly scale had already been modeled and analyzed. The degradation scenario had been calculated by a fluid-dynamics analysis code for liquid-metal fast reactors (LMFRs). For further investigation of accident process and influence to the near bundles, the seven assembly scale were then simulated and calculated. Total instantaneous blockage was assumed to occur in the center assembly under normal operating conditions and consequences to neighboring assemblies were studied. The result shows that the key events such as sodium boiling, clad melting, fuel particles relocation, hexcan failure and melt discharge into neighboring six assemblies symmetrically were adequately simulated. All the key events appeared in the same sequence as the single assembly simulation, while hexcan failure occurred later than that of single assembly simulation. The reason for the different timing may be the boundary condition assumption can influence the heat removal from the blocked assembly. The seven-assembly scale model can reduce the boundary condition's uncertainties and help to give a better understanding and prediction of hypothetical accident scenario in subassembly blockage accidents for CEFR. (authors)

Zhe Wang; Xuewu Cao [Shanghai Jiaotong University, Shanghai (China)

2006-07-01T23:59:59.000Z

438

ARM - Measurement - Shortwave narrowband total upwelling irradiance  

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

upwelling irradiance upwelling irradiance 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 : Shortwave narrowband total upwelling irradiance The rate at which radiant energy, in narrow bands of wavelengths shorter than approximately 4 {mu}m, passes through a horizontal unit area in an upward direction. Categories Radiometric 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. ARM Instruments MFR : Multifilter Radiometer Field Campaign Instruments RAD-AIR : Airborne Radiometers

439

ARM - Measurement - Shortwave narrowband total downwelling irradiance  

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

downwelling irradiance downwelling irradiance 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 : Shortwave narrowband total downwelling irradiance The rate at which radiant energy, in narrow bands of wavelengths shorter than approximately 4 {mu}m, passes through a horizontal unit area in a downward direction. Categories Radiometric 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. ARM Instruments MFRSR : Multifilter Rotating Shadowband Radiometer NFOV : Narrow Field of View Zenith Radiometer

440

Total Blender Net Input of Petroleum Products  

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

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

Note: This page contains sample records for the topic "total evaluation score" 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

Provides Total Tuition Charge to Source Contribution  

E-Print Network [OSTI]

Contribution 10 4 * 1,914 1,550 364 15 6 3 2,871 2,326 545 20 8 4 3,828 3,101 727 25 10 5 4,785 3,876 909 30 12,752 1,818 TGR 4-20 0-3 2,871 2,871 - % of time appointed Hours of Work/Week Units TAL Provides Total,742 4,651 1,091 75 30 5 4,785 3,876 909 80 32 4 3,828 3,101 727 85 34 3 2,871 2,326 545 90 36 3 2,871 2

Kay, Mark A.

442

Nuclear Pleomorphism Scoring by Selective Cell Nuclei Detection Jean-Romain Dalle Hao Li Chao-Hui Huang Wee Kheng Leow  

E-Print Network [OSTI]

Nuclear Pleomorphism Scoring by Selective Cell Nuclei Detection Jean-Romain Dalle Hao Li Chao, National University Hospital pattcp@nus.edu.sg Abstract Scoring the nuclear pleomorphism for nuclear pleo- morphism scoring according to the Nottingham grading system. In contrast, most

Leow, Wee Kheng

443

Serck standard packages for total energy  

Science Journals Connector (OSTI)

Although the principle of combined heat and power generation is attractive, practical problems have hindered its application. In the U.K. the scope for ‘small scale’ combined heat and power (total energy) systems has been improved markedly by the introduction of new Electricity Board regulations which allow the operation of small a.c. generators in parallel with the mains low voltage supply. Following this change, Serck have developed a standard total energy unit, the CG100, based on the 2.25 1 Land Rover gas engine with full engine (coolant and exhaust gas) heat recovery. The unit incorporates an asynchronous generator, which utilising mains power for its magnetising current and speed control, offers a very simple means of generating electricity in parallel with the mains supply, without the need for expensive synchronising controls. Nominal output is 15 kW 47 kW heat; heat is available as hot water at temperatures up to 85°C, allowing the heat output to be utilised directly in low pressure hot water systems. The CG100 unit can be used in any application where an appropriate demand exists for heat and electricity, and the annual utilisation will give an acceptable return on capital cost; it produces base load heat and electricity, with LPHW boilers and the mains supply providing top-up/stand-by requirements. Applications include ‘residential’ use (hospitals, hotels, boarding schools, etc.), swimming pools and industrial process systems. The unit also operates on digester gas produced by anaerobic digestion of organic waste. A larger unit based on a six cylinder Ford engine (45 kWe output) is now available.

R. Kelcher

1984-01-01T23:59:59.000Z

444

Enantioselective total syntheses of acylfulvene, irofulven, and the agelastatins  

E-Print Network [OSTI]

I. Enantioselective Total Synthesis of (-)-Acylfulvene, and (-)-Irofulven We report the enantioselective total synthesis of (-)-acylfulvene and (-)-irofulven, which features metathesis reactions for the rapid assembly of ...

Siegel, Dustin S. (Dustin Scott), 1980-

2010-01-01T23:59:59.000Z

445

Price of Lake Charles, LA Liquefied Natural Gas Total Imports...  

Gasoline and Diesel Fuel Update (EIA)

Liquefied Natural Gas Total Imports (Dollars per Thousand Cubic Feet) Price of Lake Charles, LA Liquefied Natural Gas Total Imports (Dollars per Thousand Cubic Feet) Decade Year-0...

446

Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption...  

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

-- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1...

447

California Onshore Natural Gas Total Liquids Extracted in California...  

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

Total Liquids Extracted in California (Thousand Barrels) California Onshore Natural Gas Total Liquids Extracted in California (Thousand Barrels) Decade Year-0 Year-1 Year-2 Year-3...

448

Analysis of Serum Total and Free PSA Using Immunoaffinity Depletion...  

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

Serum Total and Free PSA Using Immunoaffinity Depletion Coupled to SRM: Correlation with Clinical Immunoassay Tests. Analysis of Serum Total and Free PSA Using Immunoaffinity...

449

Exploring Total Power Saving from High Temperature of Server Operations  

E-Print Network [OSTI]

Air Temperature Total system power (%) Cooling power (%)Total system power (%) Cooling power (%) JunctionTo simulate the cooling power consumption at different

Lai, Liangzhen; Chang, Chia-Hao; Gupta, Puneet

2014-01-01T23:59:59.000Z

450

National Fuel Cell and Hydrogen Energy Overview: Total Energy...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 Presentation by Sunita Satyapal at the...

451

Climate adaptation planning in practice: an evaluation of adaptation plans from three developed nations  

SciTech Connect (OSTI)

Formal planning for climate change adaptation is emerging rapidly at a range of geo-political scales. This first generation of adaptation plans provides useful information regarding how institutions are framing the issue of adaptation and the range of processes that are recognized as being part of an adaptation response. To better understand adaptation planning among developed nations, a set of 57 adaptation plans from Australia, the United Kingdom and the United States was evaluated against a suite of 19 planning processes identified from existing guidance instruments for adaptation planning. Total scores among evaluated plans ranged from 16% of the maximum possible score to 61%, with an average of 37%. These results suggest adaptation plans are largely under-developed. Critical weaknesses in adaptation planning are related to limited consideration for non-climatic factors as well as neglect for issues of adaptive capacity including entitlements to various forms of capital needed for effective adaptation. Such gaps in planning suggest there are opportunities for institutions to make better use of existing guidance for adaptation planning and the need to consider the broader governance context in which adaptation will occur. In addition, the adaptation options prescribed by adaptation plans reflect a preferential bias toward low-risk capacity-building (72% of identified options) over the delivery of specific actions to reduce vulnerability. To the extent these findings are representative of the state of developed nation adaptation planning, there appear to be significant deficiencies in climate change preparedness, even among those nations often assumed to have the greatest adaptive capacity.

Preston, Benjamin L [ORNL; Westaway, Richard M. [IMS Consulting, Bristol, Avon, England; Yuen, Emma J. [CSIRO Climate Adaptation Flagship, Aspendale, Vic, Australia

2011-04-01T23:59:59.000Z

452

Performance Period Total Fee Paid FY2001  

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

01 01 $4,547,400 FY2002 $4,871,000 FY2003 $6,177,902 FY2004 $8,743,007 FY2005 $13,134,189 FY2006 $7,489,704 FY2007 $9,090,924 FY2008 $10,045,072 FY2009 $12,504,247 FY2010 $17,590,414 FY2011 $17,558,710 FY2012 $14,528,770 Cumulative Fee Paid $126,281,339 Cost Plus Award Fee DE-AC29-01AL66444 Washington TRU Solutions LLC Contractor: Contract Number: Contract Type: $8,743,007 Contract Period: $1,813,482,000 Fee Information Maximum Fee $131,691,744 Total Estimated Contract Cost: $4,547,400 $4,871,000 $6,177,902 October 2000 - September 2012 Minimum Fee $0 Fee Available EM Contractor Fee Site: Carlsbad Field Office - Carlsbad, NM Contract Name: Waste Isolation Pilot Plant Operations March 2013 $13,196,690 $9,262,042 $10,064,940 $14,828,770 $12,348,558 $12,204,247 $17,590,414 $17,856,774

453

Total Crude Oil and Petroleum Products Exports  

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

Exports Exports Product: Total Crude Oil and Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane/Ethylene Propane/Propylene Normal Butane/Butylene Isobutane/Isobutylene Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Biomass-Based Diesel Motor Gasoline Blend. Comp. (MGBC) MGBC - Reformulated MGBC - Conventional Aviation Gasoline Blend. Comp. Finished Petroleum Products Finished Motor Gasoline Reformulated Gasoline Conventional Gasoline Finished Aviation Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate F.O., 15 ppm and under Distillate F.O., Greater than 15 to 500 ppm Distillate F.O., Greater than 500 ppm Residual Fuel Oil Naphtha for Petro. Feed. Use Other Oils Petro. Feed. Use Special Naphthas Lubricants Waxes Petroleum Coke Asphalt and Road Oil Miscellaneous Products Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

454

Revised {open_quotes}LEPS{close_quotes} scores for assessing climate model simulations and long-range forecasts  

SciTech Connect (OSTI)

The most commonly used measures for verifying forecasts or simulations of continuous variables are root-mean-squared error (rmse) and anomaly correlation. Some disadvantages of these measures are demonstrated. Existing assessment systems for categorical forecasts are discussed briefly. An alternative unbiased verification measure is developed, known as the linear error in probability space (LEPS) score. The LEPS score may be used to assess forecasts of both continuous and categorical variables and has some advantages over rmse and anomaly correlation. The properties of the version of LEPS discussed here are reviewed and compared with an earlier form of LEPS. A skill-score version of LEPS may be used to obtain an overall measure of the skill of a number of forecasts. This skill score is biased, but the bias is negligible if the number of effectively independent forecasts or simulations is large. Some examples are given in which the LEPS skill score is compared with rmse and anomaly correlation. 14 refs., 10 figs., 7 tabs.

Potts, J.M. [IACR-Rothamsted, Hertfordshire (United Kingdom)] [IACR-Rothamsted, Hertfordshire (United Kingdom); Folland, C.K. [Hadley Centre for Climate Prediction and Research, Berkshire (United Kingdom)] [Hadley Centre for Climate Prediction and Research, Berkshire (United Kingdom); Jolliffe, I.T. [Univ. of Aberdeen (United Kingdom)] [and others] [Univ. of Aberdeen (United Kingdom); and others

1996-01-01T23:59:59.000Z

455

Office of Evaluation and Testing General Testing Rules  

E-Print Network [OSTI]

Office of Evaluation and Testing General Testing Rules Identification: You must present to the test center or your scores may be withheld or canceled if you can't present acceptable ID on the testing surface and must be placed in an area designated by the testing staff. Electronic Devices: Cell

Brinkmann, Peter

456

ALL SHADED FIELDS ARE REQUIRED U.S. Department of Energy Commercial Building Energy Asset Score 2013 Pilot  

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

ALL SHADED FIELDS ARE REQUIRED ALL SHADED FIELDS ARE REQUIRED U.S. Department of Energy Commercial Building Energy Asset Score 2013 Pilot Data Collection Form Version: 6/14/2013 Building Name: Data collected by: Email, phone: Date of Data Collection: HOW TO USE THIS DATA COLLECTION FORM This form is intended to facilitate your data collection. The Energy Asset Scoring Tool uses the "block" concept to simplify your building geometry. Most buildings can be scored as one block un- less at least one of the follow situations applies: a. The building has sections with different numbers of floors Example: A portion of the building is 3 story and the other portion is 10 story. b. Different parts of the building are served by different HVAC systems Example: A portion of the building uses a local chiller, the other portion uses packaged DX

457

E-Print Network 3.0 - applying dsm evaluation Sample Search Results  

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

DSM investment or to its total rate base... on the savings from DSM programs. Thus, both utilities and PUCs are emphasizing evaluation because evaluations... preparation; and (b)...

458

Locating-total domination in claw-free cubic graphs  

Science Journals Connector (OSTI)

In this paper, we continue the study of locating-total domination in graphs. A set S of vertices of a graph G is a total dominating set of 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 . A claw-free graph is a graph that does not contain K 1 , 3 as an induced subgraph. We show that the locating-total domination number of a claw-free cubic graph is at most one-half its order and we characterize the graphs achieving this bound.

Michael A. Henning; Christian Löwenstein

2012-01-01T23:59:59.000Z

459

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

460

DOE Commercial Building Energy Asset Score: Software Development for Phase II Building Types  

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

To estim assumpt to unders tables pr These ta but a bui even by s the Asse year, dep in the ap To get an tables. F Operat Schedu School Office Retail Warehou Hotel Apartme Courthou Library 1 Operatio Standard 9 are added be modifie 2 Closing ti purposes. DOE C Softwar Oper ate a buildin ions concern stand how w rovide a simp bles reflect t lding's level season in ca et Scoring To pending on e pendix at the n overall ide or a more gr tional As ules of Op Occu Sche (hrs 41 48 46 use 1 nt 1 use 4 4 nal assumption 90.1 Prototype to the Asset Sc ed to better ref mes reflect tho Commer re Devel rational a ng's energy u ning how the well these as plified list of the full-time of operation ases such as ool applies a each building e end of this a of the ass ranular unde sumption peration upancy

Note: This page contains sample records for the topic "total evaluation score" 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

Complete Embedded Minimal Surfaces of Finite Total David Hoffman  

E-Print Network [OSTI]

Complete Embedded Minimal Surfaces of Finite Total Curvature David Hoffman Department-5300 Bonn, Germany July 18, 1994 Contents 1 Introduction 2 2 Basic theory and the global Weierstrass representation 4 2.1 Finite total curvature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2

462

Colorado Natural Gas Total Consumption (Million Cubic Feet)  

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

Total Consumption (Million Cubic Feet) Colorado Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

463

Colorado Natural Gas % of Total Residential Deliveries (Percent...  

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

% of Total Residential Deliveries (Percent) Colorado Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

464

Louisiana Natural Gas Gross Withdrawals Total Offshore (Million...  

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

Gross Withdrawals Total Offshore (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

465

Connecticut Natural Gas Total Consumption (Million Cubic Feet...  

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

Total Consumption (Million Cubic Feet) Connecticut Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

466

Connecticut Natural Gas % of Total Residential Deliveries (Percent...  

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

% of Total Residential Deliveries (Percent) Connecticut Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

467

Project Functions and Activities Definitions for Total Project Cost  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This chapter provides guidelines developed to define the obvious disparity of opinions and practices with regard to what exactly is included in total estimated cost (TEC) and total project cost (TPC).

1997-03-28T23:59:59.000Z

468

Evaluation of PM10 and Total Suspended Particulate Sampler Performance Through Wind Tunnel Testing  

E-Print Network [OSTI]

.................................................... 86 APPENDIX F SHARP-EDGE ORIFICE METER CALIBRATION PROCEDURE ................................................................................ 89 APPENDIX G TEXAS A&M WIND TUNNEL OPERATION PROCEDURE ... 92 APPENDIX H MALVER MASTERSIZER 2000... Velocity Uniformity ?10% for 2, 8 and 24 km/h Measurement 1) Minimum of 12 test points 2) Monitoring techniques: precision? 2% ; accuracy ? 5% Aerosol Concentration Uniformity ?10% of the mean Measurement ? 5 evenly spaced isokinetic samplers...

Thelen, Mary Katherine

2011-10-21T23:59:59.000Z

469

Field Evaluation of the SFE-lnfrared Method for Total Petroleum Hydrocarbon (TPH) Determinations  

Science Journals Connector (OSTI)

......No differences in operation (e.g., warm-up...several hours of operation. Contrary to our...frustrate future field operations were the lack of...that the restrictor heater supplied with the...at the expense of cold fin gers). Based...conducted in cold weather. Other extractor......

Steven B. Hawthorne; David J. Miller; Kristin M. Hegvik

1993-01-01T23:59:59.000Z

470

Exergoeconomic and exergoenvironmental evaluation of Integration of desalinations with a total site utility system  

Science Journals Connector (OSTI)

Beside the economics, environmental effects of the desalination plant are calculated to reach the points...

H. Janalizadeh; M. H. Khoshgoftar Manesh…

2014-05-01T23:59:59.000Z

471

USE OF ONE-ON ANALYSIS TO EVALUATE TOTAL SYSTEM PERFORMANCE  

SciTech Connect (OSTI)

This report presents the results of analyses of the hypothetical performance of the various configurations of selected natural and engineered elements of the proposed Yucca Mountain nuclear-waste repository. These analyses were conducted upon the recommendation of the Nuclear Waste Technical Review Board (NWTRB) regarding an alternative approach to investigate the identified natural and engineered barriers and associated processes with respect to the postclosure performance of the proposed Yucca Mountain repository. The analyses were conducted per Technical Work Plan (TWP) TWP-MGR-PA-000011 REV 00, Section 3.2.4, Task 2, which states that the task involves ''Identification of barriers that are important to repository performance:'' by means of ''one-on'' analyses to gain a better understanding of repository performance relative to previously identified barriers.'' The ''One-on Analysis'' was performed per Administrative Procedure AP-SIII.9Q. The NWTRB previously reviewed similar analyses conducted by Electric Power Research Institute (EPRI) (EPRI 2002 [158069]). The approach of the investigation was to simulate the hypothetical performance of the repository after an arbitrarily chosen successive addition of each of the selected natural and engineered barrier components and associated processes that provide for the overall safety of the repository. Because the repository system will behave as an integrated system, the combined interaction of all the processes and barriers identified in this report will provide the ultimate repository performance as indicated in various performance-assessment analyses for the Civilian Radioactive Waste Management System (CRWMS) M&O 2000 [153246]; Bechtel SAIC Company, LLC (BSC) 2001 [155950]; and Williams 2001 [157307]. The analyses presented in this report should not be construed as an indication, for the chosen additive sequence, of the relative importance on any one barrier or process. Rather, the results of these analyses provide an indication of the relative performance of those barriers and processes and an understanding of their contribution to the overall performance of the proposed repository system. The analyses in this report considered the nominal-performance scenario only, and did not address performance following unlikely disruptive events (e.g., volcanic activity) (10 Code of Federal Regulations (CFR) 63.342).

G.J. Saulnier Jr.

2002-12-18T23:59:59.000Z

472

Evaluation of Membrane Processes for Reducing Total Dissolved Solids Discharged to the Truckee River  

E-Print Network [OSTI]

for endangered species. Reverse osmosis RO and nanofiltration NF , in conjunction with ultrafiltration UF also have to be removed from the effluent in order to maintain their TMDLs. Reverse osmosis RO

473

NON-CLOSED CURVES IN Rn WITH FINITE TOTAL FIRST  

E-Print Network [OSTI]

], and Kondo and Tanaka [14] have examined the global properties of the total curvature of a curveNON-CLOSED CURVES IN Rn WITH FINITE TOTAL FIRST CURVATURE ARISING FROM THE SOLUTIONS OF AN ODE P finite total first curvature. If all the roots of the associated characteristic polynomial are simple, we

Gilkey, Peter B

474

GLOBAL RIGIDITY FOR TOTALLY NONSYMPLECTIC ANOSOV BORIS KALININ  

E-Print Network [OSTI]

GLOBAL RIGIDITY FOR TOTALLY NONSYMPLECTIC ANOSOV Zk ACTIONS BORIS KALININ AND VICTORIA SADOVSKAYA by NSF grant DMS-0140513. Supported in part by NSF grant DMS-0401014. 1 #12;GLOBAL RIGIDITY FOR TOTALLY Abstract. We consider a totally nonsymplectic (TNS) Anosov action of Zk which is either uniformly

Sadovskaya, Victoria

475

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

476

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

477

Computing plasma focus pinch current from total current measurement  

Science Journals Connector (OSTI)

The total current I total waveform in a plasma focus discharge is the most commonly measured quantity contrasting with the difficult measurement of I pinch . However yield laws should be scaled to focus pinch current I pinch rather than the peak I total . This paper describes how I pinch may be computed from the I total trace by fitting a computed current trace to the measured current trace using the Lee model. The method is applied to an experiment in which both the I total trace and the plasma sheath current trace were measured. The result shows good agreement between the values of computed and measured I pinch .

S. Lee; S. H. Saw; P. C. K. Lee; R. S. Rawat; H. Schmidt

2008-01-01T23:59:59.000Z

478

TENESOL formerly known as TOTAL ENERGIE | Open Energy Information  

Open Energy Info (EERE)

TENESOL formerly known as TOTAL ENERGIE TENESOL formerly known as TOTAL ENERGIE Jump to: navigation, search Name TENESOL (formerly known as TOTAL ENERGIE) Place la Tour de Salvagny, France Zip 69890 Sector Solar Product Makes polycrystalline silicon modules, and PV-based products such as solar powered pumps. References TENESOL (formerly known as TOTAL ENERGIE)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. TENESOL (formerly known as TOTAL ENERGIE) is a company located in la Tour de Salvagny, France . References ↑ "TENESOL (formerly known as TOTAL ENERGIE)" Retrieved from "http://en.openei.org/w/index.php?title=TENESOL_formerly_known_as_TOTAL_ENERGIE&oldid=352112" Categories:

479

Prospective Evaluation of Pretreatment Executive Cognitive Impairment and Depression in Patients Referred for Radiotherapy  

SciTech Connect (OSTI)

Purpose: Cancer patients are at risk of cognitive impairment and depression. We sought to ascertain the prevalence of executive, visuospatial, memory, and general cognitive performance deficits before radiotherapy in a radiation oncology clinic referral population and correlate the neurocognitive measures with the depression symptom burden. Methods and Materials: A total of 122 sequential patients referred for radiotherapy evaluation were administered a test battery composed of the Executive Interview (EXIT25), Executive Clock Drawing Task (CLOX1 and CLOX2), Mini Mental State Examination (MMSE), Memory Impairment Screen (MIS), and Geriatric Depression Scale (GDS). The mean age {+-} standard deviation was 58 {+-} 17 years. Of 122 patients, 24 (20%) had been referred for breast cancer, 21 (17%) for gastrointestinal cancer, 17 (14%) for genitourinary disease, and 8 (7%) for brain lesions; the rest were a variety of tumor sites. The cognitive performance among the tumor cohorts was compared using Bonferroni-corrected analysis of variance and Tukey-Kramer tests. Pearson correlation coefficients were determined between each cognitive instrument and the GDS. Results: Of the 122 patients, 52 (43%) exhibited a detectable executive cognition decrement on one or more test measures. Five percent had poor memory performance (MIS), 18% had poor visuospatial performance (CLOX2), and 13% had poor global cognition (MMSE). Patients with brain tumors performed substantially worse on the EXIT25. No between-group differences were found for CLOX1, CLOX2, MIS, or GDS performance. The EXIT25 scores correlated significantly with the GDS scores (r = 0.26, p = 0.005). Conclusions: The results of this study have shown that patients referred for radiotherapy exhibit cognitive impairment profiles comparable to those observed in acutely ill medical inpatients. Executive control impairment appears more prevalent than global cognitive deficits, visuospatial impairment, or depression.

Fuller, Clifton D. [Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Graduate Division of Radiological Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Department of Radiation Medicine, Oregon Health and Science University, Portland, OR (United States)], E-mail: fullercd@uthscsa.edu; Schillerstrom, Jason E. [Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Jones, William E. [Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Boersma, Melissa [Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Radiation Oncology Consultants, Tulsa, OK (United States); Royall, Donald R. [Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Fuss, Martin [Department of Radiation Medicine, Oregon Health and Science University, Portland, OR (United States)

2008-10-01T23:59:59.000Z

480

SKATE: Decoupling Systematic Sampling From Scoring JIANWEN A. FENG, GARLAND R. MARSHALL  

E-Print Network [OSTI]

. Efficient systematic sam- pling is achieved by pruning the combinatorial tree using aggregate assembly, the energy functions are simplified so that they can be evaluated quickly. The tradeoff is a less accurate energy function that at best approximates the binding energy of a pose. If a coarse energy function

Marshall, Garland R.

Note: This page contains sample records for the topic "total evaluation score" 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

Total and spontaneous fission half-lives of the americium and curium nuclides  

SciTech Connect (OSTI)

The total half-life and the half-life for spontaneous fission are evaluated for the various long-lived nuclides of interest. Recommended values are presented for /sup 241/Am, /sup 242m/Am, /sup 243/Am, /sup 242/Cm, /sup 243/Cm, /sup 244/Cm, /sup 245/Cm, /sup 246/Cm, /sup 247/Cm, /sup 248/Cm, and /sup 250/Cm. The uncertainties are provided at the 95% confidence limit for each of the recommended values.

Holden, N.E.

1984-01-01T23:59:59.000Z

482

NTCP Modeling of Subacute/Late Laryngeal Edema Scored by Fiberoptic Examination  

SciTech Connect (OSTI)

Purpose: Finding best-fit parameters of normal tissue complication probability (NTCP) models for laryngeal edema after radiotherapy for head and neck cancer. Methods and Materials: Forty-eight patients were considered for this study who met the following criteria: (1) grossly uninvolved larynx, (2) no prior major surgery except for neck dissection and tonsillectomy, (3) at least one fiberoptic examination of the larynx within 2 years from radiotherapy, (4) minimum follow-up of 15 months. Larynx dose-volume histograms (DVHs) were corrected into a linear quadratic equivalent one at 2 Gy/fr with alpha/beta = 3 Gy. Subacute/late edema was prospectively scored at each follow-up examination according to the Radiation Therapy Oncology Group scale. G2-G3 edema within 15 months from RT was considered as our endpoint. Two NTCP models were considered: (1) the Lyman model with DVH reduced to the equivalent uniform dose (EUD; LEUD) and (2) the Logit model with DVH reduced to the EUD (LOGEUD). The parameters for the models were fit to patient data using a maximum likelihood analysis. Results: All patients had a minimum of 15 months follow-up (only 8/48 received concurrent chemotherapy): 25/48 (52.1%) experienced G2-G3 edema. Both NTCP models fit well the clinical data: with LOGEUD the relationship between EUD and NTCP can be described with TD50 = 46.7 +- 2.1 Gy, n = 1.41 +- 0.8 and a steepness parameter k = 7.2 +- 2.5 Gy. Best fit parameters for LEUD are n = 1.17 +- 0.6, m = 0.23 +- 0.07 and TD50 = 47.3 +- 2.1 Gy. Conclusions: A clear volume effect was found for edema, consistent with a parallel architecture of the larynx for this endpoint. On the basis of our findings, an EUD <30-35 Gy should drastically reduce the risk of G2-G3 edema.

Rancati, Tiziana [Prostate Program, Istituto Nazionale dei Tumori, Milano (Italy); Fiorino, Claudio, E-mail: fiorino.claudio@hsr.i [Medical Physics, San Raffaele Scientific Institute, Milano (Italy); Sanguineti, Giuseppe [Radiation Oncology, University of Texas Medical Branch, Galveston, TX (United States)

2009-11-01T23:59:59.000Z

483

Vehicle Technologies Office: Fact #736: July 16, 2012 Total Petroleum  

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

6: July 16, 2012 6: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing to someone by E-mail Share Vehicle Technologies Office: Fact #736: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing on Facebook Tweet about Vehicle Technologies Office: Fact #736: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing on Twitter Bookmark Vehicle Technologies Office: Fact #736: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing on Google Bookmark Vehicle Technologies Office: Fact #736: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing on Delicious Rank Vehicle Technologies Office: Fact #736: July 16, 2012 Total

484

Schonlau M., Van Soest A, Kapteyn A, Are `Webographic' or attitudinal questions useful for adjusting estimates from Web surveys using propensity scoring? Survey Research Methods,  

E-Print Network [OSTI]

for adjusting estimates from Web surveys using propensity scoring? Survey Research Methods, 2007, 1 (3), 155-163. Are `Webographic' or attitudinal questions useful for adjusting estimates from Web surveys using propensity scoring? Abstract Inference from Web surveys may be affected by non-random selection of Web survey participants. One

Schonlau, Matt

485

Interpreting new application scores and critiques Implementation of many of the Enhancements to Peer Review began with the May 2009 review meetings, and  

E-Print Network [OSTI]

to Peer Review began with the May 2009 review meetings, and applicants are receiving summary statements understanding of the basis of reviewer ratings, changes to the review and scoring process were created) of the overall impact/priority scores (1-9 in whole numbers only) given by all eligible review panel members

486

A UNIFIED APPROACH TO REAL TIME AUDIO-TO-SCORE AND AUDIO-TO-AUDIO ALIGNMENT USING SEQUENTIAL MONTECARLO INFERENCE TECHNIQUES  

E-Print Network [OSTI]

A UNIFIED APPROACH TO REAL TIME AUDIO-TO-SCORE AND AUDIO-TO-AUDIO ALIGNMENT USING SEQUENTIAL discrete. The major contribution of this paper is addressing both problems of audio-to-score and audio-to-audio signal to music events. In this paper, we focus our attention on the alignment of a streaming audio

Paris-Sud XI, Université de

487

Table A39. Total Expenditures for Purchased Electricity and Steam  

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

9. Total Expenditures for Purchased Electricity and Steam" 9. Total Expenditures for Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" ," Electricity",," Steam" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,"Total United States" "RSE Column Factors:",0.3,2,1.6,1.2

488

Validation of the Revised Children's Manifest Anxiety Scale, Second Edition (RCMAS-2) Scores for Children with Specific Learning Disabilities  

E-Print Network [OSTI]

Chapter I: Introduction 1 Statement of Purpose 6 Research Questions 6 Significance of the Study 7 Summary 8 Chapter II: Review of the Literature 10 Specific Learning Disabilities 10 Prevalence of Specific Learning Disabilities 14 School... Reference Subsample and the First Principal (General Anxiety) Coefficients 226 Table 10 Factor Pattern Coefficients for the Three-Factor Promax Solution for the RCMAS-2 Scores Among Students with Specific Learning Disabilities and the First Principal...

Raad, Jennifer Marie

2013-08-31T23:59:59.000Z

489

Estimating Radiation Risk from Total Effective Dose Equivalent...  

National Nuclear Security Administration (NNSA)

and UNSCEAR 1988 in Radiation Risk Assessment - Lifetime Total Cancer Mortality Risk Estimates at Low Doses and Low Dose Rates for Low-LET Radiation, Committee on Interagency...

490

"Table A2. Total Consumption of LPG, Distillate Fuel Oil,...  

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

. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" " Oil for Selected Purposes by Census Region, Industry Group, and Selected" " Industries, 1991" " (Estimates in...

491

,"U.S. Total Refiner Petroleum Product Prices"  

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

NUSDPG","EMAEPPRLPWGNUSDPG","EMAEPPRHPWGNUSDPG" "Date","U.S. Total Gasoline WholesaleResale Price by Refiners (Dollars per Gallon)","U.S. Aviation Gasoline Wholesale...

492

,"Alaska (with Total Offshore) Shale Proved Reserves (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alaska (with Total Offshore) Shale Proved Reserves (Billion Cubic Feet)",1,"Annual",2013 ,"Release Date:","124...

493

,"Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",...

494

,"Alaska (with Total Offshore) Natural Gas Liquids Lease Condensate...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alaska (with Total Offshore) Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",...

495

,"Alaska (with Total Offshore) Coalbed Methane Proved Reserves...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alaska (with Total Offshore) Coalbed Methane Proved Reserves (Billion Cubic Feet)",1,"Annual",2013 ,"Release...

496

California Natural Gas % of Total Commercial Delivered for the...  

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

Commercial Delivered for the Account of Others (Percent) California Natural Gas % of Total Commercial Delivered for the Account of Others (Percent) Decade Year-0 Year-1 Year-2...

497

Alaska (with Total Offshore) Natural Gas Plant Liquids, Reserves...  

Gasoline and Diesel Fuel Update (EIA)

Reserves Based Production (Million Barrels) Alaska (with Total Offshore) Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

498

Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected...  

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

Expected Future Production (Million Barrels) Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

499

Correlation Of Surface Heat Loss And Total Energy Production...  

Open Energy Info (EERE)

Correlation Of Surface Heat Loss And Total Energy Production For Geothermal Systems Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Correlation...

500

Level: National Data and Regional Totals; Row: NAICS Codes, Value...  

Gasoline and Diesel Fuel Update (EIA)

2 Capability to Switch Natural Gas to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column:...