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1

Appendix B Metric and Thermal Conversion Tables  

U.S. Energy Information Administration (EIA)

2011 U.S. Energy Information Administration | Natural Gas Annual 193 Appendix B Metric and Thermal Conversion Tables

2

Conversion Tables  

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

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

3

Table B1. Metric Conversion Factors - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

334 U.S. Energy Information Administration / Annual Energy Review 2011 aExact conversion. bCalculated by the U.S. Energy Information Administration.

4

Metric Conversion Guide  

Science Conference Proceedings (OSTI)

...Documents, U.S. Government Printing Office, Washington, DC 20402-9325 Metric Editorial Guide, 5th ed. (revised), 1993,

5

Metric Conversion Guide  

Science Conference Proceedings (OSTI)

...Documents, U.S. Government Printing Office, Washington, DC 20402-9325 Metric Editorial Guide , 5th ed. (revised), 1993,

6

Conversion to the Metric System  

U.S. Energy Information Administration (EIA)

Appendix C Conversion to the Metric System Public Law 100–418, the Omnibus Trade and Competitiveness Act of 1988, states: “It is the declared policy of the United ...

7

Paducah DUF6 Conversion Final EIS - Table of Contents  

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

Paducah DUF Paducah DUF 6 Conversion Final EIS v CONTENTS COVER SHEET.................................................................................................................... iii NOTATION .......................................................................................................................... xxv ENGLISH/METRIC AND METRIC/ENGLISH EQUIVALENTS..................................... xxx SUMMARY .......................................................................................................................... S-1 S.1 Introduction........................................................................................................... S-1 S.1.1 Background Information........................................................................... S-1

8

Advanced Materials for Energy Conversion II TABLE OF CONTENTS  

Science Conference Proceedings (OSTI)

This Table of Contents is from Advanced Materials for Energy Conversion II ... Energy Crisis – Fact or Fiction? [pp. .... W.-M. Chien, A. Price and D. Chandra.

9

Portsmouth DUF6 Conversion Final EIS - Table of Contents  

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

Portsmouth DUF Portsmouth DUF 6 Conversion Final EIS v CONTENTS COVER SHEET.................................................................................................................... iii NOTATION .......................................................................................................................... xxv ENGLISH/METRIC AND METRIC/ENGLISH EQUIVALENTS..................................... xxx SUMMARY .......................................................................................................................... S-1 S.1 INTRODUCTION ................................................................................................ S-1 S.1.1 Background Information........................................................................... S-1 S.1.1.1

10

Appendix B Metric  

Gasoline and Diesel Fuel Update (EIA)

Metric Metric and Thermal Conversion Tables Metric Conversions Table B1 presents Summary Statistics for Natural Gas in the United States for 1992 through 1996 in metric units of measure. Volumes are shown in cubic meters instead of cubic feet. Prices are shown in dollars per thousand cubic meters instead of dollars per thousand cubic feet. The data in this table have been converted from the data that appear in Table 1 of this report. Thermal Conversions Table B2 presents the thermal (Btu) conversion factors and the converted data for natural gas supply and disposition from 1992 through 1996. A brief documentation for the thermal conversion factors follows: * Marketed Production. The conversion factor is calcu- lated by adding the total heat content of dry production to the total heat content of extraction loss and dividing the resulting sum by the total quantity of dry production and extraction

11

Fats and Oils Handbook (Nahrungsfette und Öle)Chapter 10 Conversion Tables and Abbreviations  

Science Conference Proceedings (OSTI)

Fats and Oils Handbook (Nahrungsfette und Öle) Chapter 10 Conversion Tables and Abbreviations Food Science Health Nutrition Biochemistry eChapters Food Science & Technology Health - Nutrition - Biochemistry Press Downl

12

Table 11.4 Nitrous Oxide Emissions, 1980-2009 (Thousand Metric ...  

U.S. Energy Information Administration (EIA)

States 2009 (March 2011), Table 22; and EIA estimates based on the Intergovernmental Panel on Climate Change's Guidelines for National Greenhouse Gas Inventories ...

13

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

3 165 3 165 Appendix B Metric and Thermal Conversion Tables Metric Conversions Table B1 presents Summary Statistics for Natural Gas in the United States for 1999 through 2003 in metric units of measure. Volumes are shown in cubic meters instead of cubic feet. Prices are shown in dollars per thousand cubic meters instead of dollars per thousand cubic feet. The data in this table have been converted from the data that appear in Table 1 of this report. Thermal Conversions Table B2 presents the thermal (Btu) conversion factors and the converted data for natural gas supply and disposition from 1999 through 2003. A brief documentation for the thermal conversion factors follows: * Marketed Production. The conversion factor is calculated by adding the total heat content of dry

14

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2005-2009  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2005-2009 See footnotes at end of table. Number of Wells Producing at End of Year .... 425,887 440,516 452,945 R 476,652 493,100 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 494,748 509,577 483,238 R 442,265 420,197 From Oil Wells ................................................ 169,476 156,860 164,759 R 162,742 164,611 From Coalbed Wells ....................................... NA NA 50,400 R 56,249 55,990 From Shale Gas Wells .................................... NA NA NA 64,682 95,811 Total ................................................................. 664,223 666,438 698,397 R 725,938 736,609

15

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2004-2008  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2004-2008 See footnotes at end of table. Number of Wells Producing at End of Year .... 406,147 425,887 440,516 R 452,945 478,562 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 506,454 494,748 509,577 R 483,238 510,019 From Oil Wells ................................................ 172,292 169,476 156,860 R 164,759 165,506 From Coalbed Wells ....................................... NA NA NA 50,400 53,757 Total ................................................................. 678,746 664,223 666,438 R 698,397 729,282 Repressuring .................................................... 104,819 104,759

16

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2003-2007  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2003-2007 See footnotes at end of table. Number of Wells Producing at End of Year .... 393,327 406,147 425,887 R 440,516 452,768 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 506,356 506,454 494,748 R 509,577 530,629 From Oil Wells ................................................ 176,617 172,292 169,476 R 156,860 165,699 Total ................................................................. 682,973 678,746 664,223 R 666,438 696,328 Repressuring .................................................... 100,462 104,819 104,759 92,453 107,274 Vented and Flared ............................................

17

Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2002-2006  

Gasoline and Diesel Fuel Update (EIA)

5 5 Table B1. Summary Statistics for Natural Gas in the United States, Metric Equivalents, 2002-2006 See footnotes at end of table. Number of Gas and Gas Condensate Wells Producing at End of Year .................................. 387,772 393,327 406,147 R 425,887 448,641 Production (million cubic meters) Gross Withdrawals From Gas Wells .............................................. 503,894 506,356 506,454 R 494,748 508,075 From Oil Wells ................................................ 174,047 176,617 172,292 R 169,476 157,583 Total ................................................................. 677,942 682,973 678,746 R 664,223 665,657 Repressuring .................................................... 97,839 100,462 104,819 R 104,759 92,453 Vented and Flared

18

Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2008-2012  

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

6 6 Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2008-2012 See footnotes at end of table. Number of Wells Producing at End of Year 476,652 493,100 487,627 514,637 482,822 Production (million cubic meters) Gross Withdrawals From Gas Wells 428,565 408,167 375,127 348,044 360,663 From Oil Wells 158,841 160,673 165,220 167,294 140,725 From Coalbed Wells 57,263 56,922 54,277 50,377 43,591 From Shale Gas Wells 81,268 112,087 164,723 240,721 291,566 Total 725,938 737,849 759,347 806,436 836,545 Repressuring 103,034 99,734 97,172 95,295 92,304 Vented and Flared 4,726 4,682 4,699 5,931 6,027 Nonhydrocarbon Gases Removed 20,351 20,431 23,693 24,577 21,573

19

NEWTON's Metric System Resources  

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

Please select any link below. Search this page, using your web browser's search function. Please select any link below. Search this page, using your web browser's search function. Metric System References Do you have a great metric reference link? Please click our Ideas page. Featured Reference Links: Metric (SI) References Metric (SI) References Having trouble with the metric system? Visit the National Institute of Standards and Technology's site about the rules and style conventions of the International System of Units (SI). The Metric System The Metric System Need another reference? Try this site provided by Wikipedia that discusses the metric system and its history in depth. Metric Converter Metric Converter Need to convert to Metric? OnlineConversion.com allows you to convert just about anything to just about anything else. This will let you easily from metric to US Standard notation, and vice versa.

20

Table  

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

Table 295: Muons in water as calc from steam to check code ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.55509 1.000 71.6 0.44251 3.0000 0.2000 2.0000 3.5017 0.00 T p...

Note: This page contains sample records for the topic "metric conversions table" 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

How do I convert between short tons and metric tons? - FAQ - U ...  

U.S. Energy Information Administration (EIA)

Energy Conversion Calculators. Metric and Other Physical Conversion Factors. Last reviewed: September 13, 2013. Other FAQs about Coal.

22

How do I convert between short tons and metric tons? - FAQ - U ...  

U.S. Energy Information Administration (EIA)

Energy Conversion Calculators. Metric and Other Physical Conversion Factors. Last reviewed: September 13, 2013. Other FAQs about Prices.

23

Metric Week Begins 10/10/10!  

Science Conference Proceedings (OSTI)

... Begun by the National Council of Teachers of Mathematics on May 10, 1976, approximately one year after the Metric Conversion Act of 1975 ...

2010-10-07T23:59:59.000Z

24

Metric Program  

Science Conference Proceedings (OSTI)

... The NIST metric program encourages the use of the SI in all facets of education, including honing of worker skills. All Levels of Government. ...

2013-01-11T23:59:59.000Z

25

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

2004 pro- vide an additional benchmark. F O R T H E Table 3.Performance Metrics & Benchmarks Notes A performance MetricBTU/sf-yr). A performance Benchmark is a particular value of

Mathew, Paul

2007-01-01T23:59:59.000Z

26

Metric Units  

Science Conference Proceedings (OSTI)

... A, B, C, D, E, F, G, H, I, J. 1, Steam Point Calculator: Metric Units, Elevation Converter, ... 6, Height of steam point apparatus above ground (m), 0, m, ...

2011-12-22T23:59:59.000Z

27

Metric Presentation  

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

MODERN GRID S T R A T E G Y Smart Grid Metrics Monitoring our Progress Smart Grid Implementation Workshop Joe Miller - Modern Grid Team June 19, 2008 1 Conducted by the National...

28

Annex A Metrics for the Smart Grid System Report  

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

Annex A Annex A Metrics for the Smart Grid System Report A.iii Table of Contents Introduction ........................................................................................................................................... A.1 Metric #1: The Fraction of Customers and Total Load Served by Real-Time Pricing, Critical Peak Pricing, and Time-of-Use Pricing ........................................................................................ A.2 Metric #2: Real-Time System Operations Data Sharing ...................................................................... A.9 Metric #3: Standard Distributed Resource Connection Policies .......................................................... A.18 Metric #4: Regulatory Recovery for Smart Grid Investments ............................................................. A.23

29

Microsoft Word - table_B2.doc  

Gasoline and Diesel Fuel Update (EIA)

7 Table B2. Thermal Conversion Factors and Data, 2001-2005 Conversion Factor (Btu per cubic foot) Production Marketed... 1,105...

30

EU Metric Directive  

Science Conference Proceedings (OSTI)

... View EU Metric Directive Commission Services Working Document PDF ... of European Union (EU) Meeting on Metric Directives (2005); Packaging ...

2012-12-13T23:59:59.000Z

31

Appendix B. Metric Conversion Factors, Metric Prefixes, and ...  

U.S. Energy Information Administration (EIA)

Data presented in the Annual Energy Review and in other U.S. Energy Informa-tion Administration publications are expressed predominately in units that

32

Thermal Conversion Factor Source Documentation  

U.S. Energy Information Administration (EIA)

national annual quantity-weighted average conversion factors for conventional, reformulated, and oxygenated motor gasolines (see Table A3). The factor ...

33

Metric Presentation  

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

MODERN GRID MODERN GRID S T R A T E G Y Smart Grid Metrics Monitoring our Progress Smart Grid Implementation Workshop Joe Miller - Modern Grid Team June 19, 2008 1 Conducted by the National Energy Technology Laboratory Funded by the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability 2 Office of Electricity Delivery and Energy Reliability MODERN GRID S T R A T E G Y Many are working on the Smart Grid FERC DOE-OE Grid 2030 GridWise Alliance EEI NERC (FM) DOE/NETL Modern Grid Strategy GridWise Program GridWorks NW GridWise Testbed GridApps CERTS DOE-OE CEC PIER NYSERDA CPUC AMI Galvin Initiative EPRI Intelligrid PSERC NIST GWAC Utility AMI Open AMI CEC PIER EPACT05 Nat'al Labs EISA-2007 IEEE DOE Smart Grid Task Force 3 Office of Electricity Delivery and Energy Reliability

34

Chemical Conversion Coating  

Science Conference Proceedings (OSTI)

Table 16   Applications of aluminum using chemical conversion coatings...doors 6063 Acrylic paint (b) Cans 3004 Sanitary lacquer Fencing 6061 None applied Chromate conversion coatings Aircraft fuselage skins 7075 clad with 7072 Zinc chromate primer Electronic chassis 6061-T4 None applied Cast missile bulkhead 356-T6 None applied Screen 5056 clad with 6253 Clear varnish...

35

CYBER SECURITY METRICS AND MEASURES  

Science Conference Proceedings (OSTI)

... CYBER SECURITY METRICS AND MEASURES ... Keywords: cyber security; metrics; measures; software; computer systems; IT ...

2013-05-07T23:59:59.000Z

36

Integration using invariant operators:Conformally flat radiation metrics  

E-Print Network (OSTI)

A new method is presented for obtaining the general conformally flat radiation metric by using the differential operators of Machado Ramos and Vickers (a generalisation of the GHP operators) which are invariant under null rotations and spin and boosts. The solution is found by constructing involutive tables of these derivatives applied to the quantities which arise in the Karlhede classification of metrics.

S. B. Edgar; J. A. Vickers

1998-08-05T23:59:59.000Z

37

Table of Exhibits..................................................................................................... iii  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

Pjm Interconnection

2007-01-01T23:59:59.000Z

38

Metrics for enterprise transformation  

E-Print Network (OSTI)

The objective of this thesis is to depict the role of metrics in the evolving journey of enterprise transformation. To this end, three propositions are explored: (i) metrics and measurement systems drive transformation, ...

Blackburn, Craig D. (Craig David), S. M. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

39

How do I convert between short tons and metric tons? - FAQ - U ...  

U.S. Energy Information Administration (EIA)

Other FAQs about Conversion & Equivalents. How do I convert between short tons and metric tons? How do I compare heating fuels?

40

Performance Metrics for Proteomics  

Science Conference Proceedings (OSTI)

... for Cancer (CPTC), NIST researchers are developing specific and quantitative metrics, implemented in a software pipeline, for evaluating sources ...

2013-07-10T23:59:59.000Z

Note: This page contains sample records for the topic "metric conversions table" 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

ARM - 2008 Performance Metrics  

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

8 Performance Metrics 8 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2008 Performance Metrics Each year, the ARM Program must submit to DOE an overall performance measure related to scientific achievement. The overall performance measure includes specific metrics for reporting progress each quarter. This reporting process includes support documentation (usually a report or data file) appropriate for the metric. Overall Performance Measures

42

TABLE OF CONTENTS  

E-Print Network (OSTI)

Table of Contents………………………………………………………………………………...…...i List of Tables……………………………………………………………………………………….....ii

Ingleside Tx; Base Realignment

2010-01-01T23:59:59.000Z

43

Metric in Sports: Bicycling  

Science Conference Proceedings (OSTI)

Bicycling. Tour de France. ... Up-to-date information on the Tour de France 2011 can be found at the official site. Metric Biking Events. ...

2011-12-23T23:59:59.000Z

44

Metrics and Measures - SAMATE  

Science Conference Proceedings (OSTI)

... For instance, weather reports give hurricane intensity on ... 2006] proposed a metric for static analysis tools. ... depending on whether the tool claims to ...

2013-09-09T23:59:59.000Z

45

INEAP Metrics Report  

Science Conference Proceedings (OSTI)

... Opportunities of the Current Usage of Metrics; ... consumption of non-local, non-renewable, non-recyclable ... recycled materials, water, energy and fuels ...

2012-04-30T23:59:59.000Z

46

CPMS Tables  

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

QA Performance Metrics QA Performance Metrics Quality Program Criteria Summary Site: Period: FY09 Performance Score Excellent Good Investigate Define Actions N/A 1 Critical Decision 10 CFR 830.122 Score 1 2 3 4 Criterion Previous Period Current Period 1. Program 2. Personnel Training and Qualification 3. Quality Improvement Management 4. Documents and Records

47

Metrics White Paper Introduction  

E-Print Network (OSTI)

Metrics White Paper March 2010 Introduction Through the years, Unidata has conducted metrics, strategic partners, presentations, scientific papers, budgets, proposals, and other instances where or tools from Unidata's web site. Determining the classification of data to be captured, ad hoc committees

48

Surveillance Metrics Sensitivity Study  

Science Conference Proceedings (OSTI)

In September of 2009, a Tri-Lab team was formed to develop a set of metrics relating to the NNSA nuclear weapon surveillance program. The purpose of the metrics was to develop a more quantitative and/or qualitative metric(s) describing the results of realized or non-realized surveillance activities on our confidence in reporting reliability and assessing the stockpile. As a part of this effort, a statistical sub-team investigated various techniques and developed a complementary set of statistical metrics that could serve as a foundation for characterizing aspects of meeting the surveillance program objectives. The metrics are a combination of tolerance limit calculations and power calculations, intending to answer level-of-confidence type questions with respect to the ability to detect certain undesirable behaviors (catastrophic defects, margin insufficiency defects, and deviations from a model). Note that the metrics are not intended to gauge product performance but instead the adequacy of surveillance. This report gives a short description of four metrics types that were explored and the results of a sensitivity study conducted to investigate their behavior for various inputs. The results of the sensitivity study can be used to set the risk parameters that specify the level of stockpile problem that the surveillance program should be addressing.

Bierbaum, R; Hamada, M; Robertson, A

2011-11-01T23:59:59.000Z

49

Surveillance metrics sensitivity study.  

SciTech Connect

In September of 2009, a Tri-Lab team was formed to develop a set of metrics relating to the NNSA nuclear weapon surveillance program. The purpose of the metrics was to develop a more quantitative and/or qualitative metric(s) describing the results of realized or non-realized surveillance activities on our confidence in reporting reliability and assessing the stockpile. As a part of this effort, a statistical sub-team investigated various techniques and developed a complementary set of statistical metrics that could serve as a foundation for characterizing aspects of meeting the surveillance program objectives. The metrics are a combination of tolerance limit calculations and power calculations, intending to answer level-of-confidence type questions with respect to the ability to detect certain undesirable behaviors (catastrophic defects, margin insufficiency defects, and deviations from a model). Note that the metrics are not intended to gauge product performance but instead the adequacy of surveillance. This report gives a short description of four metrics types that were explored and the results of a sensitivity study conducted to investigate their behavior for various inputs. The results of the sensitivity study can be used to set the risk parameters that specify the level of stockpile problem that the surveillance program should be addressing.

Hamada, Michael S. (Los Alamos National Laboratory); Bierbaum, Rene Lynn; Robertson, Alix A. (Lawrence Livermore Laboratory)

2011-09-01T23:59:59.000Z

50

ARM - 2009 Performance Metrics  

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

9 Performance Metrics 9 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2009 Performance Metrics Improve Climate Models - Develop a coupled climate model with fully interactive carbon and sulfur cycles, as well as dynamic vegetation to enable simulations of aerosol effects, carbon chemistry, and carbon sequestration by the land surface and oceans and the interactions between the carbon cycle and climate. In fiscal year 2009: Provide improved climate

51

ARM - 2007 Performance Metrics  

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

7 Performance Metrics 7 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2007 Performance Metrics A Single Column Model (SCM) represents the evolution of the atmosphere in a single grid box of a Global Climate Model (GCM). This illustration represents the observing strategy of ARM, which takes continuous atmospheric observations from fixed sites in three climate regimes around the world. A Single Column Model (SCM) represents the evolution of the atmosphere in a

52

NGA_99fin.vp  

Gasoline and Diesel Fuel Update (EIA)

229 Energy Information Administration Natural Gas Annual 1999 Metric and Thermal Conversion Tables Metric Conversions Table B1 presents Summary Statistics for Natural Gas in the...

53

STAR METRICS | Department of Energy  

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

STAR METRICS STAR METRICS May 4, 2011 - 4:47pm Addthis Energy continues to define Phase II of the STAR METRICS program, a collaborative initiative to track Research and Development...

54

Emergency Operations Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

unknown authors

2012-01-01T23:59:59.000Z

55

Buildings Performance Metrics Terminology  

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

Energy's Commercial Building Initiative Page 1 Energy's Commercial Building Initiative Page 1 January 2009 Buildings Performance Metrics Terminology To clarify how the terms are used in the Department of Energy's Performance Metrics Research Project, a list of terms related to performance metrics are defined and include examples and comments. Visit www.commercialbuildings.energy.gov/performance_metrics.html to learn more. Baseline - a standard reference case used as a basis for comparison Examples: a simulation model of an ASHRAE 90.1 compliant building, control building, measurement of energy consumption prior to application of an energy conservation measure Comments: Establishing a clearly defined baseline very important and is often the most difficult task. Defining a repeatable baseline is essential if the work is to be compared to results of other

56

Global Carbon Biomass Tables  

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

Table 1c. Mixed Forest Classes Table 1d. NaturalBurnt Forest Mosaic Classes Table 1e. CropForest Mosaic Classes Table 1f. Shrub Cover Classes Table 1g. Grassland Classes Table...

57

Unit Conversion  

Science Conference Proceedings (OSTI)

Unit Conversion. ... Unit Conversion Example. "If you have an amount of unit of A, how much is that in unit B?"; Dimensional Analysis; ...

2012-12-04T23:59:59.000Z

58

Conversion Coatings  

Science Conference Proceedings (OSTI)

Table 14   Typical process sequences for chromating of continuous galvanized strip...stages, neutralizing

59

Table Search (or Ranking Tables)  

E-Print Network (OSTI)

Table Search (or Ranking Tables) Alon Halevy Google DBRank @ ICDE March 1, 2010 #12;Structured Data organizations Requires infrastructure, concerns about losing control Hard to find structured data via search Search #1 store locations used cars radio stations patents recipes · Deep = not accessible through

Halevy, Alon

60

Cyber threat metrics.  

SciTech Connect

Threats are generally much easier to list than to describe, and much easier to describe than to measure. As a result, many organizations list threats. Fewer describe them in useful terms, and still fewer measure them in meaningful ways. This is particularly true in the dynamic and nebulous domain of cyber threats - a domain that tends to resist easy measurement and, in some cases, appears to defy any measurement. We believe the problem is tractable. In this report we describe threat metrics and models for characterizing threats consistently and unambiguously. The purpose of this report is to support the Operational Threat Assessment (OTA) phase of risk and vulnerability assessment. To this end, we focus on the task of characterizing cyber threats using consistent threat metrics and models. In particular, we address threat metrics and models for describing malicious cyber threats to US FCEB agencies and systems.

Frye, Jason Neal; Veitch, Cynthia K.; Mateski, Mark Elliot; Michalski, John T.; Harris, James Mark; Trevino, Cassandra M.; Maruoka, Scott

2012-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "metric conversions table" 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

NETL: Third Annual Solid State Energy Conversion Alliance (SECA...  

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

2 Conference Proceedings Third Annual Solid State Energy Conversion Alliance (SECA) Workshop March 21-22, 2002 Table of Contents Disclaimer Papers and Presentations Disclaimer This...

62

Energy Calculator- Common Units and Conversions  

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

Energy Calculator - Common Units and Conversions Energy Calculator - Common Units and Conversions Calculators for Energy Used in the United States: Coal Electricity Natural Gas Crude Oil Gasoline Diesel & Heating Oil Coal Conversion Calculator Short Tons Btu Megajoules Metric Tons Clear Calculate 1 Short Ton = 20,169,000 Btu (based on U.S. consumption, 2007) Electricity Conversion Calculator KilowattHours Btu Megajoules million Calories Clear Calculate 1 KilowattHour = 3,412 Btu Natural Gas Conversion Calculator Cubic Feet Btu Megajoules Cubic Meters Clear Calculate 1 Cubic Foot = 1,028 Btu (based on U.S. consumption, 2007); 1 therm = 100,000 Btu; 1 terajoule = 1,000,000 megajoules Crude Oil Conversion Calculator Barrels Btu Megajoules Metric Tons* Clear Calculate 1 Barrel = 42 U.S. gallons = 5,800,000 Btu (based on U.S. consumption,

63

Table 4  

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

125 69 112 131 137 158 7.36 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

64

Table 4  

Gasoline and Diesel Fuel Update (EIA)

378 913 993 1,130 1,316 1,625 8.24 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

65

this table  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table 1.2 World Petroleum Consumption, 1980-2006 (Thousand Barrels per Day) Page 1980.00 ...

66

Production and Handling Slide 8: Conversion of Yellow Cake to...  

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

Conversion of Yellow Cake to UF6 Skip Presentation Navigation First Slide Previous Slide Next Slide Last Presentation Table of Contents Conversion of Yellow Cake to UF6 Refer to...

67

Production and Handling Slide 10: Conversion of Yellow Cake to...  

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

Conversion of Yellow Cake to UF6 Skip Presentation Navigation First Slide Previous Slide Next Slide Last Presentation Table of Contents Conversion of Yellow Cake to UF6 Refer to...

68

Production and Handling Slide 12: Conversion of Yellow Cake to...  

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

Conversion of Yellow Cake to UF6 Skip Presentation Navigation First Slide Previous Slide Next Slide Last Presentation Table of Contents Conversion of Yellow Cake to UF6 Refer to...

69

Weighting and Bayes Nets for Rollup of Surveillance Metrics  

SciTech Connect

The LANL IKE team proposes that the surveillance metrics for several data stream that are used to detect the same failure mode be weighted. Similarly, the failure mode metrics are weighted to obtain a subsystem metric. E.g., if there n data streams (nodes 1-n), the failure mode (node 0) metric is obtained as M{sub 0} = w{sub 1}M{sub 1} + {hor_ellipsis} + w{sub n}M{sub n}, where {Sigma}{sub i=1}{sup n} w{sub i} = 1. This proposal has been implemented with Bayes Nets using the Netica/IKE software by specifying an appropriate conditional probability table (CPT). This CPT is calculated using the same form as (1), where the data stream metrics for the true (T) and false (F) states are replaced by 1 and 0, respectively. Then using this CPT, the failure mode metric calculated by Netica/IKE equals (1). This result has two nice features. First, the rollup Bayes nets is doing can be easily explained. Second, because Bayes Nets can implement this rollup using Netica/IKE, then data marshalling (allocating next year's budget) can be studied. A proof that the claim 'failure mode metric calculated by Netica/IKE equals (1)' for n = 2 and n = 3 follows as well as the sketch of a proof by induction for general n.

Henson, Kriste [Los Alamos National Laboratory; Sentz, Kari [Los Alamos National Laboratory; Hamada, Michael [Los Alamos National Laboratory

2012-04-30T23:59:59.000Z

70

Smart Grid Characteristics, Values, and Metrics | Department...  

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

Characteristics, Values, and Metrics Smart Grid Characteristics, Values, and Metrics DOE Smart Grid Implementation Worksho Smart Grid Characteristics, Values, and Metrics More...

71

Metric Properties of Euclidean Buildings  

E-Print Network (OSTI)

This is a survey on nondiscrete euclidean buildings, with a focus on metric properties of these spaces.

Kramer, Linus

2010-01-01T23:59:59.000Z

72

Performance Metrics for Commercial Buildings  

SciTech Connect

Commercial building owners and operators have requested a standard set of key performance metrics to provide a systematic way to evaluate the performance of their buildings. The performance metrics included in this document provide standard metrics for the energy, water, operations and maintenance, indoor environmental quality, purchasing, waste and recycling and transportation impact of their building. The metrics can be used for comparative performance analysis between existing buildings and industry standards to clarify the impact of sustainably designed and operated buildings.

Fowler, Kimberly M.; Wang, Na; Romero, Rachel L.; Deru, Michael P.

2010-09-30T23:59:59.000Z

73

On Multi-Metric Spaces  

E-Print Network (OSTI)

A Smarandache multi-space is a union of $n$ spaces $A_1,A_2,..., A_n$ with some additional conditions holding. Combining Smarandache multi-spaces with classical metric spaces, the conception of multi-metric space is introduced. Some characteristics of a multi-metric space are obtained and Banach's fixed-point theorem is generalized in this paper.

Linfan Mao

2005-10-22T23:59:59.000Z

74

Metrics And The Software Designer  

E-Print Network (OSTI)

This paper will focus on these key topics in an effort to propose a means by which software designers can become effective contributors in the process of metrics collection analysis and reporting. METRICS AND THE SOFTWARE DESIGNER 4 2. KEY TOPICS FOR METRICS USAGE BY DESIGNERS

John T. Kalisz

1996-01-01T23:59:59.000Z

75

Metric adjusted skew information  

E-Print Network (OSTI)

We extend the concept of Wigner-Yanase-Dyson skew information to something we call ``metric adjusted skew information'' (of a state with respect to a conserved observable). This ``skew information'' is intended to be a non-negative quantity bounded by the variance (of an observable in a state) that vanishes for observables commuting with the state. We show that the skew information is a convex function on the manifold of states. It also satisfies other requirements, proposed by Wigner and Yanase, for an effective measure-of-information content of a state relative to a conserved observable. We establish a connection between the geometrical formulation of quantum statistics as proposed by Chentsov and Morozova and measures of quantum information as introduced by Wigner and Yanase and extended in this article. We show that the set of normalized Morozova-Chentsov functions describing the possible quantum statistics is a Bauer simplex and determine its extreme points. We determine a particularly simple skew information, the ``lambda-skew information,'' parametrized by a lambda in (0,1], and show that the convex cone this family generates coincides with the set of all metric adjusted skew informations. Key words: Skew information, convexity, monotone metric, Morozova-Chentsov function, lambda-skew information.

Frank Hansen

2006-07-23T23:59:59.000Z

76

Metric Selection for Ecosystem Restoration  

E-Print Network (OSTI)

managers identify the best metrics to evaluate and select the recommended restoration plan, monitor and assess progress toward achieving project objectives, and, if necessary, inform adaptive management decisions. Performance metrics, or measurable system components used to estimate and track the state of critical aspects of the project, are often the basis for project decision making and furthering scientific understanding. As such, ecosystem restoration planners should take time to carefully select an appropriate and effective metric set. To help planners with this task, this technical note accomplishes the following: 1. Reviews current USACE ecosystem restoration planning and monitoring policy, regulations and guidelines. 2. Explains the importance of metric selection and its roles during planning and post-construction monitoring and assessment. 3. Reviews common options for identifying and selecting metrics including conceptual modeling, historical precedence, and best professional judgment. 4. Presents two metric evaluation methods, screening and multi-criteria decision analysis. 5. Discusses metric application to ecosystem restoration project planning and monitoring.

Matteo Convertino; Kelsie Baker; Connie Lu; John T. Vogel; Kyle Mckay; Igor Linkov

2013-01-01T23:59:59.000Z

77

Thermal Conversion Process (TCP) Technology  

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

Changing World Technologies' Changing World Technologies' Thermal Conversion Process Commercial Demonstration Plant DOE/EA 1506 Weld County, Colorado December 2004 U.S. DEPARTMENT OF ENERGY GOLDEN FIELD OFFICE 1617 Cole Boulevard Golden, Colorado 80401 Thermal Conversion Process (TCP) Technology Commercial Demonstration - Weld County, CO TABLE OF CONTENTS Environmental Assessment Thermal Conversion Process (TCP) Technology Commercial Demonstration Project Weld County, Colorado SUMMARY............................................................................................................................. S-1 1.0 INTRODUCTION.........................................................................................................1-1 1.1. National Environmental Policy Act and Related Procedures...........................1-1

78

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

5 5 Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format Excel logo Spreadsheets are provided in excel 1 to117 - Complete set of Supplemental Tables PDF Energy Consumption by Sector (Census Division) Table 1. New England XLS PDF Table 2. Middle Atlantic XLS PDF Table 3. East North Central XLS PDF Table 4. West North Central XLS PDF Table 5. South Atlantic XLS PDF Table 6. East South Central XLS PDF Table 7. West South Central XLS PDF Table 8. Mountain XLS PDF Table 9. Pacific XLS PDF Table 10. Total United States XLS PDF Energy Prices by Sector (Census Division) Table 11. New England XLS PDF Table 12. Middle Atlantic XLS PDF Table 13. East North Central XLS PDF Table 14. West North Central XLS PDF Table 15. South Atlantic XLS PDF Table 16. East South Central

79

TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II  

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

i i ii TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II EXECUTIVE SUMMARY ........................................................................................................................................... 3 INTRODUCTION......................................................................................................................................................... 4 COMPLIANCE SUMMARY ....................................................................................................................................... 6 COMPREHENSIVE ENVIRONMENTAL RESPONSE, COMPENSATION, AND LIABILITY ACT (CERCLA) .................... 6

80

Conversion Factor  

Gasoline and Diesel Fuel Update (EIA)

Conversion Factor (Btu per cubic foot) Production Marketed... 1,110 1,106 1,105 1,106 1,109 Extraction Loss ......

Note: This page contains sample records for the topic "metric conversions table" 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

WebMetrics: Technical Overview  

Science Conference Proceedings (OSTI)

VUG Home Page NIST Web Metrics Technical Overview. Technical Overview. NIST Logo. Good usability is critical to the success of a website. ...

82

Thermodynamic Metrics and Optimal Paths  

E-Print Network (OSTI)

Thermodynamic metrics and optimal paths David A. Sivak ? andmanifold on the space of thermodynamic states. Within theconnection to the existing thermodynamic length formalism,

Sivak, David

2013-01-01T23:59:59.000Z

83

Property:OpenEI/CETSI/Metrics | Open Energy Information  

Open Energy Info (EERE)

Metrics Metrics Jump to: navigation, search Property Name OpenEI/CETSI/Metrics Property Type Text Description Environmental aspects and performance metrics associated with the resource. Pages using the property "OpenEI/CETSI/Metrics" Showing 25 pages using this property. (previous 25) (next 25) A An Overview of Existing Wind Energy Ordinances + The objective of these communities is to facilitate and regulate the development of Wind Energy Conversion Systems. Animal Farm Powers Village + The plant will produce 350 kilowatts per hour, "enough to supply 175 homes with electricity). C City of Aspen Climate Action Plan + The Climate Action Plan calls for greenhouse gas reductions of 30 percent by 2020 and 80 percent by 2050 from its 2004 baseline. Performance metrics are quantified by tons of CO2-e reduced. Based on a 2007 update to the baseline emissions inventory, the community achieved emissions reductions of 68,380 tons. The energy and environmental achievements as of the Plan's adoption in 2007 are outlined as updates within the Plan. To date, there has been no progress report on the Climate Action Plan per se, however the City's environmental achievements are described in the biennial Sustainability Report available at: http://www.aspenpitkin.com/Portals/0/docs/City/GreenInitiatives/enviro_sustainability_report_2008.pdf

84

VOC Exposure Metrics  

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

6 6 VOC Exposure Metrics ... and "Sick Building Syndrome" Figure1: The elevated odds ratios (above unity) in this figure suggest that exposures to VOCs from water-based points and solvents are associated with a variety of sick building symptions (* indicates the OR is significant at p < 0.05; ** for p < 0.01). The indoors is often regarded as safe haven from problems associated with outdoor air pollution, but a growing number of reports have suggested that exposures in indoor environments may lead to health problems. One area in which evidence has been accumulating is the relationship between working in office buildings (as opposed to industrial exposure conditions) and a variety of health effects, such as eye, nose, and throat irritation and

85

Normalization of Process Safety Metrics  

E-Print Network (OSTI)

This study is aimed at exploring new process safety metrics for measuring the process safety performance in processing industries. Following a series of catastrophic incidents such as the Bhopal chemical tragedy (1984) and Phillips 66 explosion (1989), process safety became a more important subject than ever. These incidents triggered the development and promulgation of the Process Safety Management (PSM) standard in 1992. While PSM enables management to optimize their process safety programs and organizational risks, there is an emerging need to evaluate the process safety implementation across an organization through measurements. Thus, the process safety metric is applied as a powerful tool that measures safety activities, status, and performance within PSM. In this study, process safety lagging metrics were introduced to describe the contribution of process related parameters in determining the safety performance of an organization. Lagging metrics take process safety incidents as the numerator and divide it by different process-related denominators. Currently a process lagging metric (uses work hours as denominator) introduced by the Center for Chemical Process Safety (CCPS) has been used to evaluate the safety performance in processing industries. However, this lagging metric doesn't include enough process safety information. Therefore, modified denominators are proposed in this study and compared with the existing time-based denominator to validate the effectiveness and applicability of the new metrics. Each proposed metric was validated using available industry data. Statistical unitization method has converted incident rates of different ranges for the convenience of comparison. Trend line analysis was the key indication for determining the appropriateness of new metrics. Results showed that some proposed process-related metrics have the potential as alternatives, along with the time-based metric, to evaluate process safety performance within organizations.

Wang, Mengtian

2012-08-01T23:59:59.000Z

86

Certification and Training Requirements Table of Contents  

E-Print Network (OSTI)

Table of Exhibits..................................................................................................... iii

unknown authors

2008-01-01T23:59:59.000Z

87

1992 CBECS Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Detailed Tables Detailed Tables To download all 1992 detailed tables: Download Acrobat Reader for viewing PDF files. Yellow Arrow Buildings Characteristics Tables (PDF format) (70 tables, 230 pages, file size 1.39 MB) Yellow Arrow Energy Consumption and Expenditures Tables (PDF format) (47 tables, 208 pages, file size 1.28 MB) Yellow Arrow Energy End-Use Tables (PDF format) (6 tables, 6 pages, file size 31.7 KB) Detailed tables for other years: Yellow Arrow 1999 CBECS Yellow Arrow 1995 CBECS Background information on detailed tables: Yellow Arrow Description of Detailed Tables and Categories of Data Yellow Arrow Statistical Significance of Data 1992 Commercial Buildings Energy Consumption Survey (CBECS) Detailed Tables Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables:

88

Table 25  

Gasoline and Diesel Fuel Update (EIA)

89 89 Table 25 Created on: 1/3/2014 3:10:33 PM Table 25. Natural gas home customer-weighted heating degree days, New England Middle Atlantic East North Central West North Central South Atlantic Month/Year/Type of data CT, ME, MA, NH, RI, VT NJ, NY, PA IL, IN, MI, OH, WI IA, KS, MN, MO, ND, NE, SD DE, FL, GA, MD, DC, NC, SC, VA, WV November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0 November to November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0

89

Conversion coefficients for superheavy elements  

E-Print Network (OSTI)

In this paper we report on internal conversion coefficients for Z = 111 to Z = 126 superheavy elements obtained from relativistic Dirac-Fock (DF) calculations. The effect of the atomic vacancy created during the conversion process has been taken into account using the so called "Frozen Orbital" approximation. The selection of this atomic model is supported by our recent comparison of experimental and theoretical conversion coefficients across a wide range of nuclei. The atomic masses, valence shell electron configurations, and theoretical atomic binding energies required for the calculations were adopted from a critical evaluation of the published data. The new conversion coefficient data tables presented here cover all atomic shells, transition energies from 1 keV up to 6000 keV, and multipole orders of 1 to 5. A similar approach was used in our previous calculations [1] for Z = 5 - 110.

T. Kibédi; M. B. Trzhaskovskaya; M. Gupta; A. E. Stuchbery

2011-03-03T23:59:59.000Z

90

chapter 5. Detailed Tables  

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

5. Detailed Tables 5. Detailed Tables Chapter 5. Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1994 Residential Transportation Energy Consumption Survey. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle-miles traveled (VMT) or gallons consumed; (2) tables of per household statistics such as VMT per household; and (3) tables of per-vehicle statistics, such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model-year data or family-income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table.

91

Notices TABLE  

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

7 Federal Register 7 Federal Register / Vol. 76, No. 160 / Thursday, August 18, 2011 / Notices TABLE 2-NET BURDEN CHANGE-Continued 2011-2012 2012-2013 Change % Change Burden disposition Total Applicants .................................... 23,611,500 24,705,864 +1,094,364 +4.63 Net decrease in burden. The increase in applicants is offset by the results of the Department's simplification changes. This has created an over- all decrease in burden of 8.94% or 2,881,475 hours. Total Applicant Burden ......................... 32,239,328 29,357,853 ¥2,881,475 ¥8.94 Total Annual Responses ....................... 32,239,328 46,447,024 +14,207,696 +44.07 Cost for All Applicants .......................... $159,370.20 $234,804.24 $75,434.04 +47.33 The Department is proud that efforts to simplify the FAFSA submission

92

Table 4  

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

4. Mean Annual Electricity Expenditures for Lighting, by Number of 4. Mean Annual Electricity Expenditures for Lighting, by Number of Household Members by Number of Rooms, 1993 (Dollars) Number of Rooms Number of Household Members All Households One to Three Four Five Six Seven Eight or More RSE Column Factors: 0.5 1.8 1.1 0.9 0.9 1.0 1.2 RSE Row Factors All Households................................... 83 49 63 76 87 104 124 2.34 One..................................................... 55 44 51 54 69 78 87 5.33 Two..................................................... 80 56 63 77 82 96 107 3.38 Three.................................................. 92 60 73 82 95 97 131 4.75 Four.................................................... 106 64 78 93 96 124 134 4.53 Five or More....................................... 112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the

93

Cleanroom Energy Efficiency: Metrics and Benchmarks  

E-Print Network (OSTI)

The key metrics and benchmarks to evaluate the efficiency ofEfficiency: Metrics and Benchmarks Paul A. Mathew, WilliamEfficiency: Metrics and Benchmarks Paul A. Mathew, Ph.D,

Mathew, Paul A.

2012-01-01T23:59:59.000Z

94

Effectiveness of various error metrics in SCEPTRE.  

Science Conference Proceedings (OSTI)

The objective of this project is to investigate accuracy of error metrics in SCEPTRE and produce useful benchmarks, identify metrics that do not work well, identify metrics that do work well, and produce easy to reference results.

Olson, Aaron

2010-08-01T23:59:59.000Z

95

Experimental comparison of software metrics (abstract only)  

Science Conference Proceedings (OSTI)

Software complexity metrics attempt to objectively measure the difficulty involved in creating and maintaining a program. This experiment will compare five complexity metrics as measures for reading comprehension of programs. The metrics compared are ...

Beth Clark

1985-03-01T23:59:59.000Z

96

Function points as a universal software metric  

Science Conference Proceedings (OSTI)

Function point metrics are the most accurate and effective metrics yet developed for software sizing and also for studying software productivity, quality, costs, risks, and economic value. Unlike the older "lines of code" metric function points can be ...

Capers Jones

2013-07-01T23:59:59.000Z

97

Daylight metrics and energy savings  

SciTech Connect

The drive towards sustainable, low-energy buildings has increased the need for simple, yet accurate methods to evaluate whether a daylit building meets minimum standards for energy and human comfort performance. Current metrics do not account for the temporal and spatial aspects of daylight, nor of occupants comfort or interventions. This paper reviews the historical basis of current compliance methods for achieving daylit buildings, proposes a technical basis for development of better metrics, and provides two case study examples to stimulate dialogue on how metrics can be applied in a practical, real-world context.

Mardaljevic, John; Heschong, Lisa; Lee, Eleanor

2009-12-31T23:59:59.000Z

98

Building Technologies Office: Performance Metrics Tiers  

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

Performance Metrics Performance Metrics Tiers to someone by E-mail Share Building Technologies Office: Performance Metrics Tiers on Facebook Tweet about Building Technologies Office: Performance Metrics Tiers on Twitter Bookmark Building Technologies Office: Performance Metrics Tiers on Google Bookmark Building Technologies Office: Performance Metrics Tiers on Delicious Rank Building Technologies Office: Performance Metrics Tiers on Digg Find More places to share Building Technologies Office: Performance Metrics Tiers 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 Buildings Performance Database Data Centers Energy Asset Score Energy Modeling Software

99

Buildings Performance Metrics Terminology | Department of Energy  

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

Terminology Buildings Performance Metrics Terminology This document provides the terms and definitions used in the Department of Energys Performance Metrics Research...

100

Defining a Standard Metric for Electricity Savings  

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

Defining a Standard Metric for Electricity Savings Title Defining a Standard Metric for Electricity Savings Publication Type Report LBNL Report Number LBNL-2213E Year of...

Note: This page contains sample records for the topic "metric conversions table" 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

The NERSC Sustained System Performance (SSP) Metric  

E-Print Network (OSTI)

Effective System Performance (ESP) Metric High performancerefers to this metric as the ESP (Effective Peak TFlop/sSystem Performance) 4 . ESP 5 has several characteristics

Kramer, William; Shalf, John; Strohmaier, Erich

2005-01-01T23:59:59.000Z

102

The NERSC Sustained System Performance (SSP) Metric  

E-Print Network (OSTI)

The NERSC Sustained System Performance (SSP) Metric WilliamSSP) metric developed by NERSC for its procurements. Theis important. One system at NERSC consistently slowed down

Kramer, William; Shalf, John; Strohmaier, Erich

2005-01-01T23:59:59.000Z

103

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2004 Appendix tables A2 and A3,...

104

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

are in spreadsheet format. A total of one hundred and nine tables is presented. The data for tables 10 and 20 match those published in AEO2003 Appendix tables A2 and A3,...

105

Meson Summary Table See  

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

Meson Summary Table See also the table of suggested qq quark-model assignments in the Quark Model section. * Indicates particles that appear in the preceding Meson Summary Table....

106

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Economy Table 57. New Light-Duty Vehicle Prices Table 58. New Light-Duty Vehicle Range Table 59. Electric Power Projections for EMM Region 01- East Central Area...

107

Moisture Metrics Project  

Science Conference Proceedings (OSTI)

the goal of this project was to determine the optimum moisture levels for biomass processing for pellets commercially, by correlating data taken from numerous points in the process, and across several different feedstock materials produced and harvested using a variety of different management practices. This was to be done by correlating energy consumption and material through put rates with the moisture content of incoming biomass ( corn & wheat stubble, native grasses, weeds, & grass straws), and the quality of the final pellet product.This project disseminated the data through a public website, and answering questions form universities across Missouri that are engaged in biomass conversion technologies. Student interns from a local university were employed to help collect data, which enabled them to learn firsthand about biomass processing.

Schuchmann, Mark

2011-08-31T23:59:59.000Z

108

Segmental alternations and metrical theory  

E-Print Network (OSTI)

This dissertation focuses on phonological alternations that are influenced or constrained by word-internal prosody, i.e. prominence and foot structure, and what these alternations can tell us about metrical theory. Detailed ...

Vaysman, Olga

2009-01-01T23:59:59.000Z

109

1995 Detailed Tables  

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

Households, Buildings & Industry > Commercial Buildings Energy Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Summary Table—All Principal Buildings Activities (HTML Format) Background information on detailed tables: Description of Detailed Tables and Categories of Data Statistical Significance of Data

110

All Consumption Tables  

U.S. Energy Information Administration (EIA)

2010 Consumption Summary Tables. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2010 (Trillion Btu) ... Ranked by State, 2010

111

Precious Metals Conversion Information  

Science Conference Proceedings (OSTI)

Precious Metals Conversion Information. The Office of Weights and Measures (OWM) has prepared a Conversion Factors ...

2012-11-21T23:59:59.000Z

112

Metric spaces with unique pretangent spaces  

E-Print Network (OSTI)

We find necessary and sufficient conditions under which an arbitrary metric space $X$ has a unique pretangent space at the marked point $a\\in X$. Key words: Metric spaces; Tangent spaces to metric spaces; Uniqueness of tangent metric spaces; Tangent space to the Cantor set.

Dovgoshey, Oleksiy; Kugukaslan, Mehmet

2009-01-01T23:59:59.000Z

113

Security metrics for source code structures  

Science Conference Proceedings (OSTI)

Software security metrics are measurements to assess security related imperfections (or perfections) introduced during software development. A number of security metrics have been proposed. However, all the perspectives of a software system have not ... Keywords: code quality and security., metrics, security metrics

Istehad Chowdhury; Brian Chan; Mohammad Zulkernine

2008-05-01T23:59:59.000Z

114

Microsoft Word - Data Center Metrics Task Force Recommendations V2 5-17-2011.docx  

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

Recommendations for Measuring and Reporting Overall Data Center Efficiency Version 2 - Measuring PUE for Data Centers 17 May 2011 Table of Contents 1 Introduction ............................................................................................................................................ 1 1.1 Purpose - Recommendations for Measuring and Publishing PUE at All Data Centers ... 1 1.2 Background - Guiding Principles for Data Center Efficiency Metrics ................................ 1 1.3 Scope of Recommendations ....................................................................................................... 2 2 Definitions ............................................................................................................................................... 2

115

Just enough tabling  

Science Conference Proceedings (OSTI)

We introduce just enough tabling (JET), a mechanism to suspend and resume the tabled execution of logic programs at an arbitrary point. In particular, JET allows pruning of tabled logic programs to be performed without resorting to any recomputation. ... Keywords: logic programming, pruning, suspension/resumption in the WAM, tabling

Konstantinos Sagonas; Peter J. Stuckey

2004-08-01T23:59:59.000Z

116

data center energy sustainability metric  

E-Print Network (OSTI)

Data centers represent an increasingly popular construction project type, supported by the continued growth in internet-based services. These facilities can, however, consume large amounts of electricity and—especially if growth trends continue—put strain on utility grids and energy resources. Many metrics have been proposed to evaluate and communicate energy use in data centers. In many cases, the goal is that these metrics will be used to develop energy conscious behavior and perhaps data center sustainability ratings or building codes to reduce average energy use. In this paper, we examine one of the more popular metrics, Power Usage Effectiveness (PUE), and discuss its shortcomings toward effectively communicating energy sustainability. Our inference is that PUE is an instantaneous representation of electrical energy consumption that encourages operators to report the minimum observed values of PUE. Hence, PUE only conveys an understanding of the minimum possible energy use. Instead we propose the use of energy-based metrics or average PUE over a significant time period—e.g., a year—to better understand the energy efficiency of a data center and to develop sustainability rating/ranking systems and energy codes. Keywords-Data centers; energy efficiency metrics; sustainability standards; Power Usage Effectiveness

Jumie Yuventi; Roshan Mehdizadeh; Jumie Yuventi; Roshan Mehdizadeh

2013-01-01T23:59:59.000Z

117

Practical Diagnostics for Evaluating Residential Commissioning Metrics  

SciTech Connect

In this report, we identify and describe 24 practical diagnostics that are ready now to evaluate residential commissioning metrics, and that we expect to include in the commissioning guide. Our discussion in the main body of this report is limited to existing diagnostics in areas of particular concern with significant interactions: envelope and HVAC systems. These areas include insulation quality, windows, airtightness, envelope moisture, fan and duct system airflows, duct leakage, cooling equipment charge, and combustion appliance backdrafting with spillage. Appendix C describes the 83 other diagnostics that we have examined in the course of this project, but that are not ready or are inappropriate for residential commissioning. Combined with Appendix B, Table 1 in the main body of the report summarizes the advantages and disadvantages of all 107 diagnostics. We first describe what residential commissioning is, its characteristic elements, and how one might structure its process. Our intent in this discussion is to formulate and clarify these issues, but is largely preliminary because such a practice does not yet exist. Subsequent sections of the report describe metrics one can use in residential commissioning, along with the consolidated set of 24 practical diagnostics that the building industry can use now to evaluate them. Where possible, we also discuss the accuracy and usability of diagnostics, based on recent laboratory work and field studies by LBNL staff and others in more than 100 houses. These studies concentrate on evaluating diagnostics in the following four areas: the DeltaQ duct leakage test, air-handler airflow tests, supply and return grille airflow tests, and refrigerant charge tests. Appendix A describes those efforts in detail. In addition, where possible, we identify the costs to purchase diagnostic equipment and the amount of time required to conduct the diagnostics. Table 1 summarizes these data. Individual equipment costs for the 24 practical diagnostics range from a few hundred dollars to many thousands of dollars. The higher costs are associated with infrared thermography and state-of-the-art automated diagnostic systems. Most tests can be performed in one hour or less, using equipment priced toward the lower end of the cost spectrum.

Wray, Craig; Walker, Iain; Siegel, Jeff; Sherman, Max

2002-06-11T23:59:59.000Z

118

Interpreting the C-metric  

E-Print Network (OSTI)

The basic properties of the C-metric are well known. It describes a pair of causally separated black holes which accelerate in opposite directions under the action of forces represented by conical singularities. However, these properties can be demonstrated much more transparently by making use of recently developed coordinate systems for which the metric functions have a simple factor structure. These enable us to obtain explicit Kruskal-Szekeres-type extensions through the horizons and construct two-dimensional conformal Penrose diagrams. We then combine these into a three-dimensional picture which illustrates the global causal structure of the space-time outside the black hole horizons. Using both the weak field limit and some invariant quantities, we give a direct physical interpretation of the parameters which appear in the new form of the metric. For completeness, relations to other familiar coordinate systems are also discussed.

J. B. Griffiths; P. Krtous; J. Podolsky

2006-09-15T23:59:59.000Z

119

Cost Development Guidelines Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii Table of Exhibits...................................................................................................... v Approval.................................................................................................................. vi

unknown authors

2011-01-01T23:59:59.000Z

120

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Errata - August 25, 2004 1 to117 - Complete set of of Supplemental Tables PDF Table 1. Energy Consumption by Source and Sector (New England) XLS PDF Table 2. Energy Consumption by Source and Sector (Middle Atlantic) XLS PDF Table 3. Energy Consumption by Source and Sector (East North Central) XLS PDF Table 4. Energy Consumption by Source and Sector (West North Central) XLS PDF Table 5. Energy Consumption by Source and Sector (South Atlantic) XLS PDF Table 6. Energy Consumption by Source and Sector (East South Central) XLS PDF Table 7. Energy Consumption by Source and Sector (West South Central) XLS PDF Table 8. Energy Consumption by Source and Sector (Mountain)

Note: This page contains sample records for the topic "metric conversions table" 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

1999 CBECS Detailed Tables  

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

Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999 Commercial Buildings Energy Consumption Survey (CBECS) are presented in the Building Characteristics tables, which include number of buildings and total floorspace for various Building Characteristics, and Consumption and Expenditures tables, which include energy usage figures for major energy sources. A table of Relative Standard Errors (RSEs) is included as a worksheet tab in each Excel tables. Complete sets of RSE tables are also available in .pdf format. (What is an RSE?) Preliminary End-Use Consumption Estimates for 1999 | Description of 1999 Detailed Tables and Categories of Data

122

Table 24. Refining Industry Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

- Corrections to Tables 24 to 32 - Corrections to Tables 24 to 32 Table 24. Refining Industry Energy Consumption 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2002- 2025 Carbon Dioxide Emissions 4/ (million metric tons) 190.4 185.7 188.0 191.3 207.3 215.6 220.0 222.8 225.1 226.3 228.0 230.7 234.1 237.5 238.5 239.4 239.4 238.6 240.6 240.5 242.2 244.2 245.9 246.3 246.6 1.2% Table 25. Food Industry Energy Consumption 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2002- 2025 Carbon Dioxide Emissions 3/ (million metric tons) 87.8 89.4 87.5 87.8 89.2 90.2 90.9 91.4 92.2 93.5 94.5 95.7 96.7 97.7 98.6 99.6 100.8 101.9 102.9 104.1 105.4 107.0 108.7 110.3 112.1 1.0% Table 26. Paper Industry Energy Consumption 2001 2002 2003 2004 2005 2006 2007

123

Common Carbon Metric | Open Energy Information  

Open Energy Info (EERE)

Common Carbon Metric Common Carbon Metric Jump to: navigation, search Tool Summary Name: Common Carbon Metric Agency/Company /Organization: United Nations Environment Programme, World Resources Institute Sector: Energy Focus Area: Buildings, Energy Efficiency, Industry Topics: GHG inventory, Implementation Resource Type: Guide/manual, Publications Website: www.unep.org/sbci/pdfs/Common-Carbon-Metric-for_Pilot_Testing_220410.p Common Carbon Metric Screenshot References: Common Carbon Metrics [1] "This paper is offered by the United Nations Environment Programme's Sustainable Buildings & Climate Initiative (UNEP-SBCI), a partnership between the UN and public and private stakeholders in the building sector, promoting sustainable building practices globally. The purpose of this

124

Selecting Metrics for Sustainable Bioenergy Feedstocks  

SciTech Connect

Key decisions about land-use practices and dynamics in biofuel systems affect the long-term sustainability of biofuels. Choices about what crops are grown and how are they planted, fertilized, and harvested determine the effects of biofuels on native plant diversity, competition with food crops, and water and air quality. Those decisions also affect economic viability since the distance that biofuels must be transported has a large effect on the market cost of biofuels. The components of a landscape approach include environmental and socioeconomic conditions and the bioenergy features [type of fuel, plants species, management practices (e.g., fertilizer and pesticide applications), type and location of production facilities] and ecological and biogeochemical feedbacks. Significantly, while water (availability and quality) emerges as one of the most limiting factors to sustainability of bioenergy feedstocks, the linkage between water and bioenergy choices for land use and management on medium and large scales is poorly quantified. Metrics that quantify environmental and socioeconomic changes in land use and landscape dynamics provide a way to measure and communicate the influence of alternative bioenergy choices on water quality and other components of the environment. Cultivation of switchgrass could have both positive and negative environmental effects, depending on where it is planted and what vegetation it replaces. Among the most important environmental effects are changes in the flow regimes of streams (peak storm flows, base flows during the growing season) and changes in stream water quality (sediment, nutrients, and pesticides). Unfortunately, there have been few controlled studies that provide sufficient data to evaluate the hydrological and water quality impacts of conversion to switchgrass. In particular, there is a need for experimental studies that use the small watershed approach to evaluate the effects of growing a perennial plant as a biomass crop. Small watershed studies have been used for several decades to identify effects of vegetation type, disturbance, and land use and agriculture practices on hydrology and water quality. An ideal experimental design to determine the effects of conversion to switchgrass on surface water hydrology and quality would involve (1) small catchment (5-20 ha) drained by a perennial or ephemeral stream, (2) crop treatments including conversion from row crops to switchgrass; pasture to switchgrass (other likely scenarios); controls (no change in vegetation), (3) treatments to compare different levels of fertilization and pesticide application, (4) riparian treatments to compare riparian buffers with alternative cover types, and a treatment with no buffer, and (5) 3-4 replicates of each treatment or BACI (before-after, control-intervention) design for unreplicated treatments (ideally with several years of measurements prior to the imposition of treatments for BACI design). Hydrologic measurements would include soil moisture patterns with depth and over time; nitrogen and phosphorus chemistry; soil solution chemistry - major anions and cations, inorganic and organic forms of carbon, nitrogen and phosphorus; precipitation amount and chemical deposition; stream discharge; and streamwater chemistry. These water quality metrics would need to be put into context of the other environmental and social conditions that are altered by growth of bioenergy feedstocks. These conditions include farm profits and yield of food and fuel, carbon storage and release, and a variety of ecosystem services such as enhanced biodiversity and pollinator services. Innovations in landscape design for bioenergy feedstocks take into account environmental and socioeconomic dynamics and consequences with consideration of alternative bioenergy regimes and policies. The ideal design would be scale-sensitive so that economic, social, and environmental constraints can be measured via metrics applicable at relevant scales. To develop a landscape design, land managers must consider (1) what are the environmental im

Dale, Virginia H [ORNL; Kline, Keith L [ORNL; Mulholland, Patrick J [ORNL; Downing, Mark [ORNL; Graham, Robin Lambert [ORNL; Wright, Lynn L [ORNL

2009-01-01T23:59:59.000Z

125

Columbia University Libraries Preservation & Digital Conversion Division  

E-Print Network (OSTI)

Columbia University Libraries Preservation & Digital Conversion Division Disaster Response Manual for Care of Library Materials 2008 Edition #12;CUL Disaster Response Manual 2008 2 TABLE OF CONTENTS page. Disaster Response Coordinators List 31 B. Disaster Supply Center List 32 C. Vendor List 33 D. LSO

Salzman, Daniel

126

Table of Contents PJM Manual [18]: PJM Capacity Market  

E-Print Network (OSTI)

Table of Contents Table of Contents..................................................................................................... ii

unknown authors

2008-01-01T23:59:59.000Z

127

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 37. Refrigeration Equipment, Number of Buildings and Floorspace, 1995 Table 38. Water-Heating Equipment, Number of Buildings and Floorspace, 1995 Table 39. Lighting...

128

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 25. Cooling Energy Sources, Number of Buildings and Floorspace, 1995 Table 26. Water-Heating Energy Sources, Number of Buildings, 1995 Table 27. Water-Heating Energy...

129

Context: Destruction/Conversion  

Science Conference Proceedings (OSTI)

*. Bookmark and Share. Context: Destruction/Conversion. ... Process for Conversion of Halon 1211.. Tran, R.; Kennedy, EM; Dlugogorski, BZ; 2000. ...

2011-11-17T23:59:59.000Z

130

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

December 22, 2000 (Next Release: December, 2001) Related Links Annual Energy Outlook 2001 Assumptions to the AEO2001 NEMS Conference Contacts Forecast Homepage EIA Homepage AEO Supplement Reference Case Forecast (1999-2020) (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central) Table 8. Energy Consumption by Source and Sector (Mountain)

131

Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions  

E-Print Network (OSTI)

for Cleanrooms: Metrics, Benchmarks, Actions Paul Mathew,efficiency metrics and benchmarks that can be used to trackalso use the metrics and benchmarks described in this guide

Mathew, Paul

2010-01-01T23:59:59.000Z

132

Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions  

E-Print Network (OSTI)

for Data Centers: Metrics, Benchmarks, Actions Paul Mathew,efficiency metrics and benchmarks that can be used to trackalso use the metrics and benchmarks described in this guide

Mathew, Paul

2010-01-01T23:59:59.000Z

133

Table of Contents  

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

COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary......

134

FY 2005 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

135

Local discriminative distance metrics ensemble learning  

Science Conference Proceedings (OSTI)

The ultimate goal of distance metric learning is to incorporate abundant discriminative information to keep all data samples in the same class close and those from different classes separated. Local distance metric methods can preserve discriminative ... Keywords: Distance metrics learning, Local learning

Yang Mu; Wei Ding; Dacheng Tao

2013-08-01T23:59:59.000Z

136

Energy and momentum in multiple metric theories  

E-Print Network (OSTI)

We derive the expressions for canonical energy, momentum, and angular momentum for multiple metric theories. We prove that although the metric fields are generally interacting, the total energy is the sum of conserved energies corresponding to each metric. A positive energy theorem is given as a result.

Talshir, Idan

2013-01-01T23:59:59.000Z

137

Energy and momentum in multiple metric theories  

E-Print Network (OSTI)

We derive the expressions for canonical energy, momentum, and angular momentum for multiple metric theories. We prove that although the metric fields are generally interacting, the total energy is the sum of conserved energies corresponding to each metric. A positive energy theorem is given as a result.

Talshir, Idan

2012-01-01T23:59:59.000Z

138

Advanced Vehicle Technologies Awards Table | Department of Energy  

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

Vehicle Technologies Awards Table Vehicle Technologies Awards Table Advanced Vehicle Technologies Awards Table The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project. The sub-categories of the table include: Advanced fuels and lubricants Light-weighting materials Demonstration Project for a Multi-Material Light-Weight Prototype Vehicle Advanced cells and design technology for electric drive batteries Advanced power electronics and electric motor technology Solid State Thermoelectric Energy Conversion Devices Fleet Efficiency Advanced Vehicle Testing and Evaluation Microsoft Word - VTP $175 Advanced Vehicle Tech project descriptions draft v5 8-2-11 More Documents & Publications Advanced Vehicle Technologies Awards advanced vehicle technologies awards table

139

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

The AEO Supplementary tables were generated for the reference case of the The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2002 (AEO2002) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2002, but contain regional and other more detailed projections underlying the AEO2002 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seven tables is presented. The data for tables 10 and 20 match those published in AEO2002 Appendix tables A2 and A3, respectively. Forecasts for 2000-2002 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current

140

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Supplement Tables to the AEO2001 The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2001 (AEO2001) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2001, but contain regional and other more detailed projections underlying the AEO2001 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables is presented. The data for tables 10 and 20 match those published in AEO2001 Appendix tables A2 and A3, respectively. Forecasts for 1999 and 2000 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

Note: This page contains sample records for the topic "metric conversions table" 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

Performance Metrics Tiers | Department of Energy  

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

Performance Metrics Tiers Performance Metrics Tiers Performance Metrics Tiers The performance metrics defined by the Commercial Buildings Integration Program offer different tiers of information to address the needs of various users. On this page you will find information about the various goals users are trying to achieve by using performance metrics and the tiers of metrics. Goals in Measuring Performance Many individuals and groups are involved with a building over its lifetime, and all have different interests in and requirements for the building. Although these interests differ, the value in using metrics reflects a small number of driving factors: Controlling energy costs and energy consumption Minimizing environmental impacts Enhancing the image through marketing Improving load forecasting, energy management, and reliability.

142

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. The data for tables 10 and 20 match those published in AEO200 Appendix tables A2 and A3, respectively. Forecasts for 1998, and 2000 may differ slightly from values published in the Short Term Energy Outlook, Fourth Quarter 1999 or Short Term Energy Outlook, First Quarter 2000, which are the official EIA short-term forecasts and are based on more current information than the AEO.

143

Metric selection for evaluating human supervisory control of unmanned vehicles  

Science Conference Proceedings (OSTI)

Broad metric classes were proposed in the literature in order to facilitate metric selection for evaluating human-autonomous vehicle interaction. However, there still lacks a systematic method for selecting an efficient set of metrics from the many metrics ... Keywords: AHP, analytic hierarchy process, experiments, human supervisory control, metric quality, metrics

Birsen Donmez; M. L. Cummings

2010-09-01T23:59:59.000Z

144

QUANTUM CONVERSION IN PHOTOSYNTHESIS  

E-Print Network (OSTI)

W _7405-eng- 4B QUANTUM CONVERSION IN PHOTOSYNTHESIS Melvint r UCRL-9 533 QUANrUM CONVERSION IN PHWOSYNTHESIS * Melvinitself. The primary quantum conversion act is an ionization

Calvin, Melvin

2008-01-01T23:59:59.000Z

145

FY 2005 Laboratory Table  

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

Congressional Budget Congressional Budget Request Laboratory Tables Preliminary Department of Energy FY 2005 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Laboratory Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. include both the discretionary and mandatory funding in the budget. balances, deferrals, rescissions, or other adjustments appropria ted as offsets to the DOE appropriations by the Congress.

146

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables to the Annual Energy Outlook 2005 Supplemental Tables to the Annual Energy Outlook 2005 EIA Glossary Supplemental Tables to the Annual Energy Outlook 2005 Release date: February 2005 Next release date: February 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2005 (AEO2005) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2025. Most of the tables were not published in the AEO2005, but contain regional and other more detailed projections underlying the AEO2005 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2005 Appendix tables A2 and A3, respectively. Forecasts for 2003-2005 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

147

Table of Contents  

Science Conference Proceedings (OSTI)

Table of Contents. A, B. 1, USGCB Settings. 2, This spreadsheet captures the USGCB defined configuration settings. 3, Tab Name, Tab Description. ...

2013-11-19T23:59:59.000Z

148

FY 2007 State Table  

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

Department of Energy FY 2007 Congressional Budget Request February 2006 Office of Chief Financial Officer state tables preliminary Department of Energy FY 2007 Congressional Budget...

149

Tables - Refinery Capacity Report  

U.S. Energy Information Administration (EIA)

Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2009: PDF: 2: Production Capacity of Operable ...

150

Produced Conversion Coatings  

Science Conference Proceedings (OSTI)

Chemical conversion coatings are commonly applied to Mg alloys as paint bases and in some cases as stand-alone protection. Traditional conversion coatings ...

151

Library Conversion Tool  

Science Conference Proceedings (OSTI)

Library Conversion Tool. ... The LIB2NIST mass spectral data conversion program consists of the following files (which are contained in a ZIP archive): ...

2013-06-24T23:59:59.000Z

152

Conversion of Legacy Data  

Science Conference Proceedings (OSTI)

... Conversion of Legacy Data. Conversion of legacy data can be one of the most difficult and challenging components in an SGML environment. ...

153

Biofuel Conversion Process  

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

The conversion of biomass solids into liquid or gaseous biofuels is a complex process. Today, the most common conversion processes are biochemical- and thermochemical-based. However, researchers...

154

Conversion Plan | Department of Energy  

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

Conversion Plan Conversion Plan This template is used to document the conversion plan that clearly defines the system or project's conversion procedures; outlines the installation...

155

Advanced Materials for Energy Conversion III TABLE OF CONTENTS  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy's Hydrogen Storage Program: The Grand Challenge of Vehicular Hydrogen Storage [pp. 25] C. Read, J. Petrovic, G. Ordaz, and ...

156

Cyber Security Metrics and Measures abstract  

Science Conference Proceedings (OSTI)

Paul E. Black, Karen Scarfone, and Murugiah Souppaya, Cyber Security Metrics and Measures, in Wiley Handbook of Science and Technology for ...

2013-05-07T23:59:59.000Z

157

DEFINING A STANDARD METRIC FOR ELECTRICITY SAVINGS  

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

DEFINING A STANDARD METRIC FOR ELECTRICITY SAVINGS Jonathan Koomey*, Hashem Akbari, Carl Blumstein, Marilyn Brown, Richard Brown, Chris Calwell, Sheryl Carter, Ralph Cavanagh,...

158

Defining a Standard Metric for Electricity Savings  

E-Print Network (OSTI)

1991. The Potential for Electricity Efficiency Improvementswww.eia.doe.gov/cneaf/electricity/page/eia860.html>. FigureA STANDARD METRIC FOR ELECTRICITY SAVINGS Jonathan Koomey*,

Koomey, Jonathan

2009-01-01T23:59:59.000Z

159

Argonne TDC: Phase Metrics - Argonne National Laboratory  

A magneto-optical imaging capability developed by Argonne, Phase Metrics, and the Institute of Solid State Physics (Moscow, Russia) could be the key to developing ...

160

Three-dimensional metrics as deformations of a constant curvature metric  

E-Print Network (OSTI)

Any three-dimensional Riemannian metric can be locally obtained by deforming a constant curvature metric along one direction. The general interest of this result, both in geometry and physics, and related open problems are stressed.

B. Coll; J. Llosa; D. Soler

2001-04-23T23:59:59.000Z

Note: This page contains sample records for the topic "metric conversions table" 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

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" type=text/css rel=stylesheet> Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > RSE Tables 2003 CBECS Relative Standard Error (RSE) Tables Released: Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100. (More information on RSEs)

162

Pit Disassembly and Conversion Demonstration Environmental Ass  

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

August 1998 August 1998 i TABLE OF CONTENTS 1.0 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Related National Environmental Policy Act Reviews . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.0 PURPOSE AND NEED FOR ACTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Purpose and Need for Action . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.0 PROPOSED PIT DISASSEMBLY AND CONVERSION DEMONSTRATION . . . . . . . . . . . . . . . . 6 4.0 NO ACTION ALTERNATIVE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 5.0 AFFECTED ENVIRONMENT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 5.1 History and Current Mission of Los Alamos National Laboratory

163

Information flow metrics analysis in object oriented programming and metrics validation process by RAA algorithm  

Science Conference Proceedings (OSTI)

Transparent data flow metrics and control flow metrics had no main concern which to be handled by a compiler. Nowadays similar hardware and multithreaded coding is increased. Consequently, both data flow and control flow become more important in analyses ... Keywords: Ant colony algorithm, Information flow metrics, Object oriented information flow, Object oriented programming, Rule accuracy algorithm, Rule induction

Abdul Jabbar; Subramani Sarala

2012-12-01T23:59:59.000Z

164

DOE/EIS-0225-SA-04: Supplement Analysis for the Final Environmental Impact Statement for the Continued Operation of the Pantex Plant and Associated Storage of Nuclear Weapon Components (October 2008)  

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

i i Table of Contents List of Figures ...............................................................................................................................................ii List of Tables ................................................................................................................................................ii List of Acronyms .........................................................................................................................................iii Metric Conversion Chart..............................................................................................................................iv Chapter 1 Introduction .........................................................................................................................

165

Implementing the data center energy productivity metric  

Science Conference Proceedings (OSTI)

As data centers proliferate in size and number, the endeavor to improve their energy efficiency and productivity is becoming increasingly important. We discuss the properties of a number of the proposed metrics of energy efficiency and productivity. ... Keywords: Energy, data center, metrics, productivity

Landon H. Sego; Andrés Márquez; Andrew Rawson; Tahir Cader; Kevin Fox; William I. Gustafson, Jr.; Christopher J. Mundy

2012-10-01T23:59:59.000Z

166

Modular Robot Motion Planning Using Similarity Metrics  

Science Conference Proceedings (OSTI)

In order for a modular self-reconfigurable robotic system to autonomously change from its current state to a desired one, it is critical to have a cost function (or metric) that reflects the effort required to reconfigure. A reconfiguration sequence ... Keywords: group, metric, modular robots, morphing, optimal assignment, pattern matching

Chih-Jung Chiang; Gregory S. Chirikjian

2001-01-01T23:59:59.000Z

167

CBECS Buildings Characteristics --Revised Tables  

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

Buildings Use Tables Buildings Use Tables (24 pages, 129 kb) CONTENTS PAGES Table 12. Employment Size Category, Number of Buildings, 1995 Table 13. Employment Size Category, Floorspace, 1995 Table 14. Weekly Operating Hours, Number of Buildings, 1995 Table 15. Weekly Operating Hours, Floorspace, 1995 Table 16. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Number of Buildings, 1995 Table 17. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the

168

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

5HVLGHQWLDO (QHUJ\\ &RQVXPSWLRQ 6XUYH\\V 1997 Consumption and Expenditures Tables Appliances Consumption Tables (17 pages, 60 kb) Contents Pages CE5-1c.

169

ARM - Instrument Location Table  

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

govInstrumentsLocation Table govInstrumentsLocation Table Instruments Location Table Contacts Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument Locations Site abbreviations explained in the key. Instrument Name Abbreviation NSA SGP TWP AMF C1 C2 EF BF CF EF IF C1 C2 C3 EF IF Aerosol Chemical Speciation Monitor ACSM Atmospheric Emitted Radiance Interferometer AERI Aethalometer AETH Ameriflux Measurement Component AMC Aerosol Observing System AOS Meteorological Measurements associated with the Aerosol Observing System AOSMET Broadband Radiometer Station BRS

170

FY 2009 State Table  

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

State Tables State Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2009 Congressional Budget 1/30/2008 Department Of Energy (Dollars In Thousands) 9:01:45AM Page 1 of 2 FY 2007 Appropriation FY 2008 Appropriation FY 2009 Request State Table 1 1 $27,588

171

FY 2005 State Table  

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

Office of Management, Budget Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Preliminary Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number

172

FY 2010 State Table  

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

State Tables State Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2010 Congressional Budget 5/4/2009 Department Of Energy (Dollars In Thousands) 2:13:22PM Page 1 of 2 FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request State Table 1 1 $46,946 $48,781 $38,844 Alabama 2 $6,569

173

FY 2006 State Table  

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

State Tables State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2006 Congressional Budget 1/27/2005 Department Of Energy (Dollars In Thousands) 3:32:58PM Page 1 of 2 FY 2004 Comp/Approp FY 2005 Comp/Approp FY 2006 Request State Table

174

FY 2010 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2010 Congressional Budget Page 1 of 3 (Dollars In Thousands) 2:08:56PM Department Of Energy 5/4/2009 Page Number FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request Laboratory Table 1 1 $1,200

175

FY 2008 State Table  

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

State Table State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer State Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2008 Congressional Budget 2/1/2007 Department Of Energy (Dollars In Thousands) 6:53:08AM Page 1 of 2 FY 2006 Appropriation FY 2007 Request FY 2008 Request State Table 1 1 $28,332 $30,341

176

Table - Energy Information Administration  

U.S. Energy Information Administration (EIA)

September 2013 U.S. Energy Information 9/27/2013 9:52:45 AM Administration | Natural Gas Monthly 9 Created on: Table 4. U.S. natural gas imports ...

177

table E1  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table E.1 World Primary Energy Consumption (Btu), 1980-2006 (Quadrillion (10 15 ) Btu) Page

178

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 1999 Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Contacts bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage supplemental.gif (7420 bytes) (Errata as of 9/13/99) The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 1999 (AEO99) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1997 to 2020. Most of the tables were not published in the AEO99, but contain regional and other more detailed projections underlying the AEO99 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables are presented.

179

SAPHIRE 8 Quality Assurance Software Metrics Report  

SciTech Connect

The purpose of this review of software metrics is to examine the quality of the metrics gathered in the 2010 IV&V and to set an outline for results of updated metrics runs to be performed. We find from the review that the maintenance of accepted quality standards presented in the SAPHIRE 8 initial Independent Verification and Validation (IV&V) of April, 2010 is most easily achieved by continuing to utilize the tools used in that effort while adding a metric of bug tracking and resolution. Recommendations from the final IV&V were to continue periodic measurable metrics such as McCabe's complexity measure to ensure quality is maintained. The four software tools used to measure quality in the IV&V were CodeHealer, Coverage Validator, Memory Validator, Performance Validator, and Thread Validator. These are evaluated based on their capabilities. We attempted to run their latest revisions with the newer Delphi 2010 based SAPHIRE 8 code that has been developed and was successful with all of the Validator series of tools on small tests. Another recommendation from the IV&V was to incorporate a bug tracking and resolution metric. To improve our capability of producing this metric, we integrated our current web reporting system with the SpiraTest test management software purchased earlier this year to track requirements traceability.

Kurt G. Vedros

2011-08-01T23:59:59.000Z

180

2001 Housing Characteristics Detailed Tables  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey-Housing Characteristics, 2001 Detailed Tables, Energy Information Administration

Note: This page contains sample records for the topic "metric conversions table" 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

Energy-Momentum Distribution in Weyl Metrics  

E-Print Network (OSTI)

In this paper, we evaluate energy and momentum density distributions for the Weyl metric by using the well-known prescriptions of Einstein, Landau-Lifshitz, Papaterou and M$\\ddot{o}$ller. The metric under consideration is the static axisymmetric vacuum solution to the Einstein field equations and one of the field equations represents the Laplace equation. Curzon metric is the special case of this spacetime. We find that the energy density is different for each prescription. However, momentum turns out to be constant in each case.

M. Sharif; Tasnim Fatima

2005-07-16T23:59:59.000Z

182

Data Collection and Reporting for Metrics and Benefits: Smart...  

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

and Reporting for Metrics and Benefits: Smart Grid Investment Grant Program Data Collection and Reporting for Metrics and Benefits: Smart Grid Investment Grant Program Presentation...

183

Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks,...  

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

Cleanrooms: Metrics, Benchmarks, Actions Title Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions Publication Type Report LBNL Report Number LBNL-3392E Year of...

184

Self-benchmarking Guide for Data Centers: Metrics, Benchmarks...  

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

Data Centers: Metrics, Benchmarks, Actions Title Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions Publication Type Report LBNL Report Number LBNL-3393E Year...

185

Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks...  

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

Laboratory Buildings: Metrics, Benchmarks, Actions Title Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions Publication Type Report LBNL Report Number...

186

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

Report 4-10-08 Metrics and Benchmarks for Energy Efficiencybenchmarking database. The benchmarks for standard, good andefficiency metrics and benchmarks for laboratories, which

Mathew, Paul; Rumsey Engineers

2008-01-01T23:59:59.000Z

187

Conversion Between Implicit - CECM  

E-Print Network (OSTI)

Conversion Between Implicit and Parametric Representation of Differential Varieties. Xiao-Shan Gao, Institute of Systems Science, Chinese Academy of ...

188

Ocean Thermal Energy Conversion  

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

A process called ocean thermal energy conversion (OTEC) uses the heat energy stored in the Earth's oceans to generate electricity.

189

Microsoft Word - table_B2.doc  

Gasoline and Diesel Fuel Update (EIA)

81 81 Table B2. Thermal Conversion Factors and Data, 2004-2008 Conversion Factor (Btu per cubic foot) Production Marketed...................................................... R 1,104 R 1,104 1,103 1,104 1,100 Extraction Loss ............................................ 2,666 2,660 2,639 2,648 2,643 Total Dry Production.................................. R 1,026 R 1,028 1,028 1,029 1,027 Supply Dry Production ............................................. R 1,026 R 1,028 1,028 1,029 1,027 Receipts at U.S. Borders Imports....................................................... 1,025 1,025 1,025 1,025 1,025 Intransit Receipts ....................................... 1,025 1,025 1,025 1,025 1,025 Withdrawals from Storage Underground Storage.................................

190

Microsoft Word - table_B2.doc  

Gasoline and Diesel Fuel Update (EIA)

81 81 Table B2. Thermal Conversion Factors and Data, 2005-2009 Conversion Factor (Btu per cubic foot) Production Marketed...................................................... 1,104 1,103 1,104 1,100 1,101 Extraction Loss ............................................ 2,660 2,639 2,648 2,643 2,627 Total Dry Production.................................. 1,028 1,028 1,029 1,027 1,025 Supply Dry Production ............................................. 1,028 1,028 1,029 1,027 1,025 Receipts at U.S. Borders Imports....................................................... 1,025 1,025 1,025 1,025 1,025 Intransit Receipts ....................................... 1,025 1,025 1,025 1,025 1,025 Withdrawals from Storage Underground Storage.................................

191

Microsoft Word - table_B2.doc  

Gasoline and Diesel Fuel Update (EIA)

3 3 Table B2. Thermal Conversion Factors and Data, 2006-2010 Conversion Factor (Btu per cubic foot) Production Marketed...................................................... 1,103 R 1,102 1,100 1,101 1,097 Extraction Loss ............................................ 2,639 2,648 2,643 2,627 2,590 Total Dry Production.................................. 1,028 R 1,027 1,027 1,025 1,023 Supply Dry Production ............................................. 1,028 R 1,027 1,027 1,025 1,023 Receipts at U.S. Borders Imports....................................................... 1,025 1,025 1,025 1,025 1,025 Intransit Receipts ....................................... 1,025 1,025 1,025 1,025 1,025 Withdrawals from Storage Underground Storage.................................

192

Microsoft Word - table_B2.doc  

Gasoline and Diesel Fuel Update (EIA)

81 81 Table B2. Thermal Conversion Factors and Data, 2003-2007 Conversion Factor (Btu per cubic foot) Production Marketed...................................................... 1,106 1,105 1,105 1,103 1,104 Extraction Loss ............................................ 2,747 2,666 2,660 2,639 2,648 Total Dry Production.................................. 1,031 1,027 1,029 1,028 1,029 Supply Dry Production ............................................. 1,031 1,027 1,029 1,028 1,029 Receipts at U.S. Borders Imports....................................................... 1,025 1,025 1,025 1,025 1,025 Intransit Receipts ....................................... 1,025 1,025 1,025 1,025 1,025 Withdrawals from Storage Underground Storage.................................

193

Microsoft Word - table_B2.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 Table B2. Thermal Conversion Factors and Data, 2002-2006 Conversion Factor (Btu per cubic foot) Production Marketed...................................................... 1,106 1,106 1,105 R 1,105 1,103 Extraction Loss ............................................ 2,671 2,747 2,666 2,660 2,639 Total Dry Production.................................. 1,027 1,031 1,027 1,029 1,028 Supply Dry Production ............................................. 1,027 1,031 1,027 1,029 1,028 Receipts at U.S. Borders Imports....................................................... 1,022 1,025 1,025 1,025 1,025 Intransit Receipts ....................................... 1,022 1,025 1,025 1,025 1,025 Withdrawals from Storage Underground Storage.................................

194

Harmonizing Global Metrics for Data Center Efficiency  

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

Page 1 Page 1 Harmonizing Global Metrics for Data Center Energy Efficiency Global Taskforce Reaches Agreement on Measurement Protocols for PUE - Continues Discussion of Additional Energy Efficiency Metrics February 28th, 2011 The data center has become an increasingly important part of most business operations in the twenty-first century. With escalating demand and rising energy prices, it is essential for the owners and operators of these mission critical facilities to assess and improve their performance with energy efficiency metrics. However, even with the global presence of many companies, these metrics are often not applied consistently at a global level. To address these inconsistencies, a group of global leaders has been meeting regularly to agree

195

Spatial Error Metrics for Oceanographic Model Verification  

Science Conference Proceedings (OSTI)

A common problem with modern numerical oceanographic models is spatial displacement, including misplacement and misshapenness of ocean circulation features. Traditional error metrics, such as least squares methods, are ineffective in many such ...

Sean B. Ziegeler; James D. Dykes; Jay F. Shriver

2012-02-01T23:59:59.000Z

196

Clean Cities Annual Metrics Report 2009 (Revised)  

SciTech Connect

Document provides Clean Cities coalition metrics about the use of alternative fuels; the deployment of alternative fuel vehicles, hybrid electric vehicles (HEVs), and idle reduction initiatives; fuel economy activities; and programs to reduce vehicle miles driven.

Johnson, C.

2011-08-01T23:59:59.000Z

197

Does General Relativity Require a Metric  

E-Print Network (OSTI)

The nexus between the gravitational field and the space-time metric was an essential element in Einstein's development of General Relativity and led him to his discovery of the field equations for the gravitational field/metric. I will argue here that the metric is in fact an inessential element of this theory and can be dispensed with entirely. Its sole function in the theory was to describe the space-time measurements made by ideal clocks and rods. However, the behavior of model clocks and measuring rods can be derived directly from the field equations of General Relativity using the Einstein-Infeld-Hoffmann (EIH) approiximation procedure. Therefore one does not need to introduce these ideal clocks and rods and hence has no need of a metric.

James L. Anderson

1999-12-13T23:59:59.000Z

198

Metrics of Risk Associated with Defects Rediscovery  

E-Print Network (OSTI)

Software defects rediscovered by a large number of customers affect various stakeholders and may: 1) hint at gaps in a software manufacturer's Quality Assurance (QA) processes, 2) lead to an over-load of a software manufacturer's support and maintenance teams, and 3) consume customers' resources, leading to a loss of reputation and a decrease in sales. Quantifying risk associated with the rediscovery of defects can help all of these stake-holders. In this chapter we present a set of metrics needed to quantify the risks. The metrics are designed to help: 1) the QA team to assess their processes; 2) the support and maintenance teams to allocate their resources; and 3) the customers to assess the risk associated with using the software product. The paper includes a validation case study which applies the risk metrics to industrial data. To calculate the metrics we use mathematical instruments like the heavy-tailed Kappa distribution and the G/M/k queuing model.

Miranskyy, Andriy V; Reesor, Mark

2011-01-01T23:59:59.000Z

199

Beneficial Conversion Features or Contingently Adjustable Conversion  

E-Print Network (OSTI)

1. An entity may issue convertible debt with an embedded conversion option that is required to be bifurcated under Statement 133 if all of the conditions in paragraph 12 of that Statement are met. An embedded conversion option that initially requires separate Copyright © 2008, Financial Accounting Standards Board Not for redistribution Page 1accounting as a derivative under Statement 133 may subsequently no longer meet the conditions that would require separate accounting as a derivative. A reassessment of whether an embedded conversion option must be bifurcated under Statement 133 is required each reporting period. When an entity is no longer required to bifurcate a conversion option pursuant to Statement 133, there are differing views on how an entity should recognize that change.

Bifurcation Criteria; Fasb Statement No; Stock Purchase Warrants

2006-01-01T23:59:59.000Z

200

Energy Basics: Biofuel Conversion Processes  

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

Biodiesel Biofuel Conversion Processes Biopower Bio-Based Products Biomass Resources Geothermal Hydrogen Hydropower Ocean Solar Wind Biofuel Conversion Processes The conversion of...

Note: This page contains sample records for the topic "metric conversions table" 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

Iterated multidimensional wave conversion  

Science Conference Proceedings (OSTI)

Mode conversion can occur repeatedly in a two-dimensional cavity (e.g., the poloidal cross section of an axisymmetric tokamak). We report on two novel concepts that allow for a complete and global visualization of the ray evolution under iterated conversions. First, iterated conversion is discussed in terms of ray-induced maps from the two-dimensional conversion surface to itself (which can be visualized in terms of three-dimensional rooms). Second, the two-dimensional conversion surface is shown to possess a symplectic structure derived from Dirac constraints associated with the two dispersion surfaces of the interacting waves.

Brizard, A. J. [Dept. Physics, Saint Michael's College, Colchester, VT 05439 (United States); Tracy, E. R.; Johnston, D. [Dept. Physics, College of William and Mary, Williamsburg, VA 23187-8795 (United States); Kaufman, A. N. [LBNL and Physics Dept., UC Berkeley, Berkeley, CA 94720 (United States); Richardson, A. S. [T-5, LANL, Los Alamos, NM 87545 (United States); Zobin, N. [Dept. Mathematics, College of William and Mary, Williamsburg, VA 23187-8795 (United States)

2011-12-23T23:59:59.000Z

202

Evidential structures and metrics for network forensics  

Science Conference Proceedings (OSTI)

Evaluation of forensics evidence is an essential step in proving the malicious intents of an attacker or adversary and the severity of the damages caused to any network. This paper takes a step forward showing how security metrics can be used to sustain ... Keywords: CVSS, NFR, common vulnerability scoring system, evidential database, evidential structure, network attacks, network evidence, network forensic readiness, network forensics, security metrics

Ahmad R. Amran; Raphael C-W. Phan; David J. Parish; John N. Whitley

2010-12-01T23:59:59.000Z

203

Defining a Standard Metric for Electricity Savings  

E-Print Network (OSTI)

Existing coal = 1.0 Gas turbine Distillateoil Gas turbine Natural gas Combined cycle Distillate oilTable 1. (3) Steam turbine, gas turbine, and combined cycle

Koomey, Jonathan

2009-01-01T23:59:59.000Z

204

FY 2011 State Table  

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

State Tables State Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 March 2010 Office of Chief Financial Officer State Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 State Index Page Number FY 2011 Congressional Budget 1/29/2010 Department Of Energy (Dollars In Thousands) 6:34:40AM Page 1 of 2 FY 2009 Appropriation

205

FY 2007 Laboratory Table  

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

Laboratory tables Laboratory tables preliminary Department of Energy FY 2007 Congressional Budget Request February 2006 Printed with soy ink on recycled paper Office of Chief Financial Officer Laboratory tables preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2007 Congressional Budget Page 1 of 3 (Dollars In Thousands) 12:10:40PM Department Of Energy 1/31/2006 Page Number FY 2005 Appropriation FY 2006 Appropriation FY 2007

206

FY 2011 Laboratory Table  

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

Laboratory Tables Laboratory Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 March 2010 Office of Chief Financial Officer Laboratory Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 Laboratory / Facility Index FY 2011 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:24:57AM Department Of Energy 1/29/2010 Page

207

FY 2008 Laboratory Table  

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

Laboratory Table Laboratory Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer Laboratory Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2008 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:51:02AM Department Of Energy 2/1/2007 Page Number FY 2006 Appropriation FY 2007 Request FY 2008 Request

208

FY 2006 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 Laboratory Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2006 Congressional Budget Page 1 of 3 (Dollars In Thousands) 3:43:16PM Department Of Energy 1/27/2005 Page Number FY 2004 Comp/Approp FY 2005 Comp/Approp

209

Fy 2009 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2009 Congressional Budget Page 1 of 3 (Dollars In Thousands) 8:59:25AM Department Of Energy 1/30/2008 Page Number FY 2007 Appropriation FY 2008 Appropriation FY 2009

210

FY 2013 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

211

FY 2009 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

212

Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)  

DOE Green Energy (OSTI)

This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

213

TABLE OF CONTENTS  

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

/2011 /2011 Decades of Discovery Decades of Discovery Page 2 6/1/2011 TABLE OF CONTENTS 1 INTRODUCTION ...................................................................................................................... 6 2 BASIC ENERGY SCIENCES .................................................................................................. 7 2.1 Adenosine Triphosphate: The Energy Currency of Life .............................................. 7 2.2 Making Better Catalysts .............................................................................................. 8 2.3 Understanding Chemical Reactions............................................................................ 9 2.4 New Types of Superconductors ................................................................................ 10

214

Paducah DUF6 Conversion Final EIS - Notation  

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

Paducah DUF Paducah DUF 6 Conversion Final EIS xxv NOTATION The following is a list of acronyms and abbreviations, chemical names, and units of measure used in this document. Some acronyms used only in tables may be defined only in those tables. GENERAL ACRONYMS AND ABBREVIATIONS AEA Atomic Energy Act of 1954 AEC U.S. Atomic Energy Commission AIHA American Industrial Hygiene Association ALARA as low as reasonably achievable ANL Argonne National Laboratory ANP Advanced Nuclear Power (Framatone ANP, Inc.) ANSI American National Standards Institute AQCR Air Quality Control Region BLS Bureau of Labor Statistics CAA Clean Air Act CEQ Council on Environmental Quality CERCLA Comprehensive Environmental Response, Compensation, and Liability Act of 1980 CFR Code of Federal Regulations CRMP cultural resource management plan

215

Cleanroom Energy Efficiency: Metrics and Benchmarks  

Science Conference Proceedings (OSTI)

Cleanrooms are among the most energy-intensive types of facilities. This is primarily due to the cleanliness requirements that result in high airflow rates and system static pressures, as well as process requirements that result in high cooling loads. Various studies have shown that there is a wide range of cleanroom energy efficiencies and that facility managers may not be aware of how energy efficient their cleanroom facility can be relative to other cleanroom facilities with the same cleanliness requirements. Metrics and benchmarks are an effective way to compare one facility to another and to track the performance of a given facility over time. This article presents the key metrics and benchmarks that facility managers can use to assess, track, and manage their cleanroom energy efficiency or to set energy efficiency targets for new construction. These include system-level metrics such as air change rates, air handling W/cfm, and filter pressure drops. Operational data are presented from over 20 different cleanrooms that were benchmarked with these metrics and that are part of the cleanroom benchmark dataset maintained by Lawrence Berkeley National Laboratory (LBNL). Overall production efficiency metrics for cleanrooms in 28 semiconductor manufacturing facilities in the United States and recorded in the Fabs21 database are also presented.

International SEMATECH Manufacturing Initiative; Mathew, Paul A.; Tschudi, William; Sartor, Dale; Beasley, James

2010-07-07T23:59:59.000Z

216

Implementing the Data Center Energy Productivity Metric  

SciTech Connect

As data centers proliferate in both size and number, their energy efficiency is becoming increasingly important. We discuss the properties of a number of the proposed metrics of energy efficiency and productivity. In particular, we focus on the Data Center Energy Productivity (DCeP) metric, which is the ratio of useful work produced by the data center to the energy consumed performing that work. We describe our approach for using DCeP as the principal outcome of a designed experiment using a highly instrumented, high performance computing data center. We found that DCeP was successful in clearly distinguishing between different operational states in the data center, thereby validating its utility as a metric for identifying configurations of hardware and software that would improve (or even maximize) energy productivity. We also discuss some of the challenges and benefits associated with implementing the DCeP metric, and we examine the efficacy of the metric in making comparisons within a data center and among data centers.

Sego, Landon H.; Marquez, Andres; Rawson, Andrew; Cader, Tahir; Fox, Kevin M.; Gustafson, William I.; Mundy, Christopher J.

2012-10-01T23:59:59.000Z

217

Polymeric and Conversion Coatings  

Science Conference Proceedings (OSTI)

Oct 19, 2011 ... Ongoing research reveals that the search for appropriate conversion ... of the coated alloy was ~ 250 mV more noble compared to bare alloy.

218

QUANTUM CONVERSION IN PHOTOSYNTHESIS  

E-Print Network (OSTI)

QUANTUM CONVERSION IN PHOTOSYNTHESIS Melvin Calvin Januaryas it occurs in modern photosynthesis can only take place inof the problem or photosynthesis, or any specific aspect of

Calvin, Melvin

2008-01-01T23:59:59.000Z

219

Catalytic conversion of biomass.  

E-Print Network (OSTI)

?? Catalytic processes for conversion of biomass to transportation fuels have gained an increasing attention in sustainable energy production. The biomass can be converted to… (more)

Calleja Aguado, Raquel

2013-01-01T23:59:59.000Z

220

EJ and EK Pay Table  

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

The EJ and EK pay table excludes locality pay.  Refer to the General Schedule Complete Set of Locality Pay Tables to determine the locality pay for your applicable geographic area.   

Note: This page contains sample records for the topic "metric conversions table" 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

February 2013 Table of Contents  

Science Conference Proceedings (OSTI)

Inform February 2013 table of contents. February 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine me

222

Visualization of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997 ... Visualization of truth tables. The Figures are computer-generated tables that show the value 1 as being represented by a black pixel and 0 by a ...

223

January 2013 Table of Contents  

Science Conference Proceedings (OSTI)

inform January 2013 table of contents. January 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine membe

224

May 2011 Table of Contents  

Science Conference Proceedings (OSTI)

May 2011 Table of Contents Inform Magazine Inform Archives News 266     Insect oils: nutritional and industrial applications Many

225

October 2010 Table of Contents  

Science Conference Proceedings (OSTI)

October 2010 Table of Contents Inform Magazine Inform Archives News 598      Universal detectors for determination of lipids in biodiesel producti

226

2003 CBECS Detailed Tables: Summary  

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

the Tables | Estimation of Energy End-Use Consumption | CBECS Glossary | FAQs | Other Years: 1999 1995 1992 Complete Set of All Tables (Tables A1-A8, B1-B46, C1-C38, C1A-C38A,...

227

Energy Equivalent Conversions  

U.S. Energy Information Administration (EIA)

Kilograms. 907.18470. 1.00000. 1000.00000. 1016.04700. 0.45359. Metric Tons. 0.90718. 0.00100. 1.00000. 1.01605. 0.00045. Long Tons. 0.89286. 0.00098. 0.98421. 1 ...

228

Discussion for Metrics and Benefits Data Collection  

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

Metrics and Benefits Analysis for Metrics and Benefits Analysis for the ARRA Smart Grid Programs Joe Paladino Office of Electricity Delivery and Energy Reliability U.S. Department of Energy OE Electricity Advisory Committee Meeting March 10, 2011 140 ARRA-Funded Smart Grid Projects 1 Customer Systems Customer Systems Customer Systems Customer Systems SGIG/SGDP/RDSI Areas of Smart Grid Technology Deployment Customer Systems Advance Metering Infrastructure Electric Distribution Systems Electric Transmission Systems * Displays * Portals * Energy management * Direct load controls * Smart meters * Data management * Back office integration * Switches * Feeder optimization * Equipment monitoring * Energy Storage * Wide area monitoring and visualization * Synchrophasor Technology * Energy Storage Customer Systems Equipment Manufacturing

229

Projective Space Codes for the Injection Metric  

E-Print Network (OSTI)

In the context of error control in random linear network coding, it is useful to construct codes that comprise well-separated collections of subspaces of a vector space over a finite field. In this paper, the metric used is the so-called "injection distance", introduced by Silva and Kschischang. A Gilbert-Varshamov bound for such codes is derived. Using the code-construction framework of Etzion and Silberstein, new non-constant-dimension codes are constructed; these codes contain more codewords than comparable codes designed for the subspace metric.

Khaleghi, Azadeh

2009-01-01T23:59:59.000Z

230

FY 2006 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2004 FY 2005 FY 2006 Comparable Comparable Request to FY 2006 vs. FY 2005 Approp Approp Congress Discretionary Summary By Appropriation Energy And Water Development Appropriation Summary: Energy Programs Energy supply Operation and maintenance................................................. 787,941 909,903 862,499 -47,404 -5.2% Construction......................................................................... 6,956 22,416 40,175 17,759 +79.2% Total, Energy supply................................................................ 794,897 932,319 902,674 -29,645 -3.2% Non-Defense site acceleration completion............................. 167,272 157,316 172,400 15,084 +9.6%

231

FY 2013 Laboratory Table  

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

8 8 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0078 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2013 Congressional Budget

232

FY 2010 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2008 FY 2009 FY 2009 FY 2010 Current Current Current Congressional Approp. Approp. Recovery Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 1,704,112 2,178,540 16,800,000 2,318,602 +140,062 +6.4% Electricity delivery and energy reliability........................................ 136,170 137,000 4,500,000 208,008 +71,008 +51.8% Nuclear energy.............................................................................. 960,903 792,000 -- 761,274 -30,726 -3.9% Legacy management..................................................................... 33,872 -- -- --

233

FY 2012 State Table  

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

6 6 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0066 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled

234

FY 2012 Statistical Table  

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

2Statistical Table by Appropriation 2Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2010 FY 2011 FY 2011 FY 2012 Current Congressional Annualized Congressional Approp. Request CR Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 2,216,392 2,355,473 2,242,500 3,200,053 +983,661 +44.4% Electricity delivery and energy reliability........................................ 168,484 185,930 171,982 237,717 +69,233 +41.1% Nuclear energy............................................................................. 774,578 824,052 786,637 754,028 -20,550 -2.7% Fossil energy programs Fossil energy research and development................................... 659,770 586,583 672,383 452,975

235

FY 2007 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance............................................ 1,779,399 1,791,372 1,917,331 +125,959 +7.0% Construction................................................................... 22,416 21,255 6,030 -15,225 -71.6% Total, Energy supply and conservation.............................. 1,801,815 1,812,627 1,923,361 +110,734 +6.1% Fossil energy programs Clean coal technology..................................................... -160,000 -20,000 -- +20,000 +100.0% Fossil energy research and development.......................

236

FY 2012 Laboratory Table  

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

5 5 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0065 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2012 Congressional Budget

237

FY 2008 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance........................................... 1,781,242 1,917,331 2,187,943 +270,612 +14.1% Construction.................................................................... 31,155 6,030 -- -6,030 -100.0% Total, Energy supply and conservation............................. 1,812,397 1,923,361 2,187,943 +264,582 +13.8% Fossil energy programs Clean coal technology.................................................... -20,000 -- -58,000 -58,000 N/A Fossil energy research and development......................

238

NUCLEAR CONVERSION APPARATUS  

DOE Patents (OSTI)

A nuclear conversion apparatus is described which comprises a body of neutron moderator, tubes extending therethrough, uranium in the tubes, a fluid- circulating system associated with the tubes, a thorium-containing fluid coolant in the system and tubes, and means for withdrawing the fluid from the system and replacing it in the system whereby thorium conversion products may be recovered.

Seaborg, G.T.

1960-09-13T23:59:59.000Z

239

Table of Contents  

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

COMMUNICATIONS REQUIREMENTS COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary.......................................................... 1 a. Overview of Smart Grid Benefits and Communications Needs................. 2 b. Summary of Recommendations .................................................................... 5 II. Federal Government Smart Grid Initiatives ................................................ 7 a. DOE Request for Information ....................................................................... 7 b. Other Federal Government Smart Grid Initiatives .................................... 9 III. Communications Requirements of Smart Grid Applications .................. 11 a. Advanced Metering Infrastructure ............................................................12

240

Electric Power Monthly - Monthly Data Tables | OpenEI  

Open Energy Info (EERE)

Power Monthly - Monthly Data Tables Power Monthly - Monthly Data Tables Dataset Summary Description Monthly electricity generation figures (and the fuel consumed to produce it). Source information available at EIA. Source EIA Date Released July 20th, 2010 (4 years ago) Date Updated July 20th, 2010 (4 years ago) Keywords consumption EIA Electricity Electricity Consumption Electricity Generation Data application/vnd.ms-excel icon generation_state_mon.xls (xls, 32.5 MiB) application/vnd.ms-excel icon consumption_state_mon.xls (xls, 14.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Monthly Time Period License License Other or unspecified, see optional comment below Comment Work of the U.S. Federal Government Rate this dataset Usefulness of the metadata

Note: This page contains sample records for the topic "metric conversions table" 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

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

Below are historical data tables from the Residential Energy Consumption Survey (RECS). These tables cover the total number of households ...

242

CBECS Buildings Characteristics --Revised Tables  

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

Geographic Location Tables Geographic Location Tables (24 pages, 136kb) CONTENTS PAGES Table 3. Census Region, Number of Buildings and Floorspace, 1995 Table 4. Census Region and Division, Number of Buildings, 1995 Table 5. Census Region and Division, Floorspace, 1995 Table 6. Climate Zone, Number of Buildings and Floorspace, 1995 Table 7. Metropolitan Status, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

243

2003 CBECS Detailed Tables: Summary  

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

2003 Detailed Tables 2003 Detailed Tables 2003 CBECS Detailed Tables most recent available Released: September 2008 Building Characteristics | Consumption & Expenditures | End-Use Consumption In the 2003 CBECS, the survey procedures for strip shopping centers and enclosed malls ("mall buildings") were changed from those used in previous surveys, and, as a result, mall buildings are now excluded from most of the 2003 CBECS tables. Therefore, some data in the majority of the tables are not directly comparable with previous CBECS tables, all of which included mall buildings. Some numbers in the 2003 tables will be slightly lower than earlier surveys since the 2003 figures do not include mall buildings. See "Change in Data Collection Procedures for Malls" for a more detailed explanation.

244

Performance Metrics Research Project - Final Report  

SciTech Connect

NREL began work for DOE on this project to standardize the measurement and characterization of building energy performance. NREL's primary research objectives were to determine which performance metrics have greatest value for determining energy performance and to develop standard definitions and methods of measuring and reporting that performance.

Deru, M.; Torcellini, P.

2005-10-01T23:59:59.000Z

245

Improving AMBER, an MT evaluation metric  

Science Conference Proceedings (OSTI)

A recent paper described a new machine translation evaluation metric, AMBER. This paper describes two changes to AMBER. The first one is incorporation of a new ordering penalty; the second one is the use of the downhill simplex algorithm to tune the ...

Boxing Chen; Roland Kuhn; George Foster

2012-06-01T23:59:59.000Z

246

Cohesion and coupling metrics for ontology modules  

Science Conference Proceedings (OSTI)

In recent years, an increasing number of ontologies and semantic web applications have been developed and used. A conscious effort has been made to develop methods to modularize ontologies. These methods contribute to building a new ontology. However, ... Keywords: Cohesion, Coupling, Metrics, Modularity, Ontology

Sunju Oh; Heon Y. Yeom; Joongho Ahn

2011-06-01T23:59:59.000Z

247

Clean Cities 2011 Annual Metrics Report  

DOE Green Energy (OSTI)

This report details the petroleum savings and vehicle emissions reductions achieved by the U.S. Department of Energy's Clean Cities program in 2011. The report also details other performance metrics, including the number of stakeholders in Clean Cities coalitions, outreach activities by coalitions and national laboratories, and alternative fuel vehicles deployed.

Johnson, C.

2012-12-01T23:59:59.000Z

248

Clean Cities 2010 Annual Metrics Report  

DOE Green Energy (OSTI)

This report details the petroleum savings and vehicle emissions reductions achieved by the U.S. Department of Energy's Clean Cities program in 2010. The report also details other performance metrics, including the number of stakeholders in Clean Cities coalitions, outreach activities by coalitions and national laboratories, and alternative fuel vehicles deployed.

Johnson, C.

2012-10-01T23:59:59.000Z

249

APC: a performance metric of memory systems  

Science Conference Proceedings (OSTI)

Due to the infamous "memory wall" problem and a drastic increase in the number of data intensive applications, memory rather than processor has become the leading performance bottleneck of modern computing systems. Evaluating and understanding memory ... Keywords: measurement methodology, memory metric, memory performance measurement

Xian-He Sun; Dawei Wang

2012-10-01T23:59:59.000Z

250

Table 11.3 Methane Emissions, 1980-2009 (Million Metric Tons ...  

U.S. Energy Information Administration (EIA)

Climate Change's Guidelines for National Greenhouse Gas Inventories (2006 and revised 1996 guidelines)—see http://www.ipcc-nggip.iges.or.jp/public/gl/invs6.html; ...

251

Table 11.3 Methane Emissions, 1980-2009 (Million Metric Tons ...  

U.S. Energy Information Administration (EIA)

Burning: Total 5: 1980. 3.06: 4.42: NA: 0.28: 0.45: 8.20: 10.52: 0.52: 11.04: 5.47: 2.87: 0.48: 0.04: 8.86: ... 4 Consumption of coal, petroleum, natural gas, and ...

252

Table 11.3 Methane Emissions, 1980-2009 (Million Metric Tons of ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook › Annual Energy Outlook ... 1984 forward, industrial and domestic wastewater. Sources: U.S. Energy Information Administration ...

253

Table 11.4 Nitrous Oxide Emissions, 1980-2009 (Thousand Metric ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook › Annual Energy Outlook › Energy Disruptions › International Energy Outlook ... 1984: 86: 45: 132: 1: 11: 11: 355: 2: 74: 431: 87: 661:

254

Solar Thermal Conversion  

DOE Green Energy (OSTI)

The thermal conversion process of solar energy is based on well-known phenomena of heat transfer (Kreith 1976). In all thermal conversion processes, solar radiation is absorbed at the surface of a receiver, which contains or is in contact with flow passages through which a working fluid passes. As the receiver heats up, heat is transferred to the working fluid which may be air, water, oil, or a molten salt. The upper temperature that can be achieved in solar thermal conversion depends on the insolation, the degree to which the sunlight is concentrated, and the measures taken to reduce heat losses from the working fluid.

Kreith, F.; Meyer, R. T.

1982-11-01T23:59:59.000Z

255

ADEPT: Efficient Power Conversion  

SciTech Connect

ADEPT Project: In today’s increasingly electrified world, power conversion—the process of converting electricity between different currents, voltage levels, and frequencies—forms a vital link between the electronic devices we use every day and the sources of power required to run them. The 14 projects that make up ARPA-E’s ADEPT Project, short for “Agile Delivery of Electrical Power Technology,” are paving the way for more energy efficient power conversion and advancing the basic building blocks of power conversion: circuits, transistors, inductors, transformers, and capacitors.

None

2011-01-01T23:59:59.000Z

256

Direct energy conversion systems  

SciTech Connect

The potential importance of direct energy conversion to the long-term development of fusion power is discussed with stress on the possibility of alleviating waste heat problems. This is envisioned to be crucial for any central power station in the 21st century. Two approaches to direct conversion, i.e., direct collection and magnetic expansion, are reviewed. While other techniques may be possible, none have received sufficient study to allow evaluation. It is stressed that, due to the intimate connection between the type of fusion fuel, the confinement scheme, direct conversion, and the coupling technique, all four element must be optimized simultaneously for high overall efficiency.

Miley, G.H.

1978-01-01T23:59:59.000Z

257

Table 4.xls  

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

Emission Reductions and Sequestration Reported at Project and Entity Levels, Data Year 2005 Emission Reductions and Sequestration Reported at Project and Entity Levels, Data Year 2005 (Metric Tons Carbon Dioxide Equivalent) Report Name Sector Reduction Type Project Level Entity Level A&N Electric Cooperative Electric Providers Indirect 6,243 AES Hawaii, Inc. Electric Providers Sequestration 1,540,000 1,540,000 AES SeaWest, Inc. Electric Providers Direct 16 Indirect 220,420 AES Shady Point, LLC Electric Providers Sequestration 4,150,000 4,150,000 AES Thames, LLC Electric Providers Sequestration 410,000 410,000 AES Warrior Run, LLC Electric Providers Direct 41,386 41,386 Alabama Biomass Partners, Ltd Alternative Energy Unspecified (EZ) 77,012 Alcan Primary Products Corporation, Sebree Works Industrial Direct 457,800 457,800 Algonquin Power - Cambrian Pacific Genco LLC Alternative Energy

258

Table of Contents  

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

NT0005638 NT0005638 Cruise Report 1-19 July 2009 HYFLUX Sea Truth Cruise Northern Gulf of Mexico Submitted by: Texas A&M University - Corpus Christi 6300 Ocean Dr. Corpus Christi, TX 78412 Principal Authors: Ian R. MacDonald and Thomas Naehr Prepared for: United States Department of Energy National Energy Technology Laboratory October 30, 2009 Office of Fossil Energy HYFLUX Seatruth Cruise Report -1- Texas A&M University - Corpus Christi Table of Contents Summary ............................................................................................................................. 2 Participating Organizations ................................................................................................. 3 Major Equipment ................................................................................................................ 4

259

Engineering Tables: Polymeric Materials  

Science Conference Proceedings (OSTI)

Table 6   Chemical resistance ratings for selected plastics and metals...B A A C C C � B C A A A Miscellaneous Detergents Laundry and dishwashing detergents, soaps A � A � B � � A A A � B A � A A B Inorganic salts Zinc chloride, cupric sulfate B B B � A � � A � A � � A A B B B Oxidizing agents, strong 30% hydrogen peroxide, bromine (wet) C C C � C � B B � C � � A � C C C...

260

Wave Energy Conversion Technology  

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

Wave Energy Conversion Technology Wave Energy Conversion Technology Speaker(s): Mirko Previsic Date: August 2, 2001 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Julie Osborn Scientists have been working on wave power conversion for the past twenty years, but recent advances in offshore and IT technologies have made it economically competitive. Sea Power & Associates is a Berkeley-based renewable energy technology company. We have developed patented technology to generate electricity from ocean wave energy using a system of concrete buoys and highly efficient hydraulic pumps. Our mission is to provide competitively priced, non-polluting, renewable energy for coastal regions worldwide. Mirko Previsic, founder and CEO, of Sea Power & Associates will discuss ocean wave power, existing technologies for its conversion into

Note: This page contains sample records for the topic "metric conversions table" 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

DANISHBIOETHANOLCONCEPT Biomass conversion for  

E-Print Network (OSTI)

DANISHBIOETHANOLCONCEPT Biomass conversion for transportation fuel Concept developed at RISÃ? and DTU Anne Belinda Thomsen (RISÃ?) Birgitte K. Ahring (DTU) #12;DANISHBIOETHANOLCONCEPT Biomass: Biogas #12;DANISHBIOETHANOLCONCEPT Pre-treatment Step Biomass is macerated The biomass is cut in small

262

Solar Hydrogen Conversion Background  

E-Print Network (OSTI)

Solar Hydrogen Conversion Background: The photoelectrochemical production of hydrogen has drawn properties In order to develop better materials for solar energy applications, in-depth photoelectrochemical simulated solar irradiance. Hydrogen production experiments are conducted in a sealed aluminum cell

Raftery, Dan

263

Photovoltaic Cell Conversion Efficiency  

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

The conversion efficiency of a photovoltaic (PV) cell, or solar cell, is the percentage of the solar energy shining on a PV device that is converted into electrical energy, or electricity....

264

Metrics: How to Improve Key Business Results, 1st edition  

Science Conference Proceedings (OSTI)

Metrics are a hot topic. Executive leadership, boards of directors, management, and customers are all asking for data-based decisions. As a result, many managers, professionals, and change agents are asked to develop metrics, but have no clear idea ...

Martin Klubeck

2011-12-01T23:59:59.000Z

265

New Categorical Metrics for Air Quality Model Evaluation  

Science Conference Proceedings (OSTI)

Traditional categorical metrics used in model evaluations are “clear cut” measures in that the model’s ability to predict an “exceedance” is defined by a fixed threshold concentration and the metrics are defined by observation–forecast sets that ...

Daiwen Kang; Rohit Mathur; Kenneth Schere; Shaocai Yu; Brian Eder

2007-04-01T23:59:59.000Z

266

Numerical Consistency of Metric Terms in Terrain-Following Coordinates  

Science Conference Proceedings (OSTI)

In numerically integrating the equations of motion in terrain-following coordinates, care must be taken in treating the metric terms that arise due to the sloping coordinate surfaces. In particular, metric terms that appear in the advection and ...

Joseph B. Klemp; William C. Skamarock; Oliver Fuhrer

2003-07-01T23:59:59.000Z

267

Performance Metrics for Soil Moisture Retrievals and Application Requirements  

Science Conference Proceedings (OSTI)

Quadratic performance metrics such as root-mean-square error (RMSE) and time series correlation are often used to assess the accuracy of geophysical retrievals (satellite measurements) with respect to true fields. These metrics are related; ...

Dara Entekhabi; Rolf H. Reichle; Randal D. Koster; Wade T. Crow

2010-06-01T23:59:59.000Z

268

Structured luminescence conversion layer  

SciTech Connect

An apparatus device such as a light source is disclosed which has an OLED device and a structured luminescence conversion layer deposited on the substrate or transparent electrode of said OLED device and on the exterior of said OLED device. The structured luminescence conversion layer contains regions such as color-changing and non-color-changing regions with particular shapes arranged in a particular pattern.

Berben, Dirk; Antoniadis, Homer; Jermann, Frank; Krummacher, Benjamin Claus; Von Malm, Norwin; Zachau, Martin

2012-12-11T23:59:59.000Z

269

CBECS Buildings Characteristics --Revised Tables  

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

Conservation Tables Conservation Tables (16 pages, 86 kb) CONTENTS PAGES Table 41. Energy Conservation Features, Number of Buildings and Floorspace, 1995 Table 42. Building Shell Conservation Features, Number of Buildings, 1995 Table 43. Building Shell Conservation Features, Floorspace, 1995 Table 44. Reduction in Equipment Use During Off Hours, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

270

CBECS Buildings Characteristics --Revised Tables  

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

Structure Tables Structure Tables (16 pages, 93 kb) CONTENTS PAGES Table 8. Building Size, Number of Buildings, 1995 Table 9. Building Size, Floorspace, 1995 Table 10. Year Constructed, Number of Buildings, 1995 Table 11. Year Constructed, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings and 58.8 billion square feet of commercial floorspace in the U.S. The 1995 data are available for the four Census

271

On the history of fourth order metric theories of gravitation  

E-Print Network (OSTI)

We present the history of fourth order metric theories of gravitation from its beginning in 1918 until 1988.

R. Schimming; H. -J. Schmidt

2004-12-08T23:59:59.000Z

272

2012 Proceedings of the Performance Metrics for Intelligent ...  

Science Conference Proceedings (OSTI)

Page 1. NIST Special Publication 1136 2012 Proceedings of the Performance Metrics for Intelligent Systems (PerMI '12) Workshop ...

2012-11-19T23:59:59.000Z

273

Financial Metrics Data Collection Protocol, Version 1.0  

SciTech Connect

Brief description of data collection process and plan that will be used to collect financial metrics associated with sustainable design.

Fowler, Kimberly M.; Gorrissen, Willy J.; Wang, Na

2010-04-30T23:59:59.000Z

274

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

275

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

276

Help:Tables | Open Energy Information  

Open Energy Info (EERE)

Tables Tables Jump to: navigation, search Tables may be authored in wiki pages using either XHTML table elements directly, or using wikicode formatting to define the table. XHTML table elements and their use are well described on various web pages and will not be discussed here. The benefit of wikicode is that the table is constructed of character symbols which tend to make it easier to perceive the table structure in the article editing view compared to XHTML table elements. As a general rule, it is best to avoid using a table unless you need one. Table markup often complicates page editing. Contents 1 Wiki table markup summary 2 Basics 2.1 Table headers 2.2 Caption 3 XHTML attributes 3.1 Attributes on tables 3.2 Attributes on cells 3.3 Attributes on rows 3.4 HTML colspan and rowspan

277

CARINA Data Table  

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

Cruise Summary Table and Data Cruise Summary Table and Data Users are requested to report any data or metadata errors in the CARINA cruise files to CDIAC. Parameter units in all CARINA data files are in CCHDO exchange format. No Cruise Namea (Alias) Areab Number of Stations Datec Ship Chief Scientist Carbon PI Oxygen Nutrients TCO2d TALK pCO2e pHf CFC Other Measurements Data Files 1 06AQ19920929g (06ANTX_6) (See map) 2 118 9/29-11/30/1992 Polarstern V. Smetacek M. Stoll, J. Rommets, H. De Baar, D. Bakker 62 114h 53 54i U C 0 Choloroa,b Fluorescence, NH4 Data Files (Metadata) 2 06AQ19930806 (06ARKIX_4) (See map) 4 64 8/6-10/5/1993 Polarstern D.K. Fütterer L. Anderson 64 63 63j, bb 0 0 0 59he 3H, 3He, 18O, 14C, 85Kr, Bak Data Files

278

Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

Supplement Tables to the AEO99 Supplement Tables to the AEO99 bullet1.gif (843 bytes) Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage furtherinfo.gif (5474 bytes) The Annual Energy Outlook 1999 (AEO99) was prepared by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, under the direction of Mary J. Hutzler (mhutzler@eia.doe.gov, 202/586-2222). General questions may be addressed to Arthur T. Andersen (aanderse@eia.doe.gov, 202/586-1441), Director of the International, Economic, and Greenhouse Gas Division; Susan H. Holte (sholte@eia.doe.gov, 202/586-4838), Director of the Demand and Integration Division; James M. Kendell (jkendell@eia.doe.gov, 202/586-9646), Director of the Oil and Gas Division; Scott Sitzer (ssitzer@eia.doe.gov, 202/586-2308), Director of the Coal and Electric Power Division; or Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Modeling Analyst. Detailed questions about the forecasts and related model components may be addressed to the following analysts:

279

Appendix B: Summary Tables  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix B: Summary Tables Table B1. The BCES and alternative cases compared to the Reference case, 2025 2009 2025 Ref Ref BCES All Clean Partial Credit Revised Baseline Small Utilities Credit Cap 2.1 Credit Cap 3.0 Stnds + Cds Generation (billion kilowatthours) Coal 1,772 2,049 1,431 1,305 1,387 1,180 1,767 1,714 1,571 1,358 Petroleum 41 45 43 44 44 44 45 45 45 43 Natural Gas 931 1,002 1,341 1,342 1,269 1,486 1,164 1,193 1,243 1,314 Nuclear 799 871 859 906 942 889 878 857 843 826 Conventional Hydropower 274 306 322 319 300 321 316 298 312 322 Geothermal 15 25 28 25 31 24 27 22 23 24 Municipal Waste 18 17 17 17 17 17 17 17 17 17 Wood and Other Biomass 38 162 303 289 295 301 241 266

280

Tangent spaces to metric spaces and to their subspaces  

E-Print Network (OSTI)

We investigate a tangent space at a point of a general metric space and metric space valued derivatives. The conditions under which two different subspace of a metric space have isometric tangent spaces in a common point of these subspaces are completely determinated.

Dovgoshey, O

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "metric conversions table" 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

The Universal Connection and Metrics on Moduli Spaces  

E-Print Network (OSTI)

We introduce a class of metrics on gauge theoretic moduli spaces. These metrics are made out of the universal matrix that appears in the universal connection construction of M. S. Narasimhan and S. Ramanan. As an example we construct metrics on the c_{2}=1 SU(2) moduli space of instantons on R^4 for various universal matrices.

Fortune Massamba; George Thompson

2003-11-12T23:59:59.000Z

282

March 2012 Table of Contents  

Science Conference Proceedings (OSTI)

March 2012 Table of Contents Inform Magazine Inform Archives News March 2012 World supplies of rapeseed and canola likely to remain tight in the 201

283

1993 Housing Characteristics -Detailed Tables  

U.S. Energy Information Administration (EIA)

Within each section, except for Air-conditioning and Light Usage, ... the Light Usage section includes a table that describes indoor light usage by ...

284

Characteristics of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997... fairly straightforward because each row represents an assignment of truth values ... A truth table is a standard binary ordering of 2-partitions.

285

EIA Table E.1C  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA - - Table Posted: December 19, 2008

286

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2006 Alabama ... 1.44 1.81...

287

Microsoft Word - table_25.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2008 Alabama ... 1.19 1.74...

288

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2007 Alabama ... 1.31 1.83...

289

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2005 Alabama ... 1.56 1.59...

290

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2009 Alabama ... 1.1 2.0...

291

2011 22 Table of for  

U.S. Energy Information Administration (EIA)

2011 60 U.S. Energy Information Administration | Natural Gas Annual Table 22. Number of natural gas industrial consumers by type of ...

292

Microsoft Word - table_23.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 23. Average Price of Natural Gas Delivered to Consumers by State and Sector, 2006 (Dollars per Thousand Cubic Feet) Alabama ... 18.80 100.00...

293

Faculty Search Table of Contents  

E-Print Network (OSTI)

October 28 2009 Faculty Search Committee Procedures Handbook #12;#12;#12;Table of Contents........................................................................................................................7 Charge to Search Committee................................................................................................................................8 Role of the Search Committee Chair

New Mexico, University of

294

Clean Cities 2010 Annual Metrics Report  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

0 Annual 0 Annual Metrics Report Caley Johnson Technical Report NREL/TP-7A30-52714 October 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 Clean Cities 2010 Annual Metrics Report Caley Johnson Prepared under Task No. VTP.20020 Technical Report NREL/TP-7A30-52714 October 2012 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

295

Clean Cities 2011 Annual Metrics Report  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

1 Annual 1 Annual Metrics Report Caley Johnson National Renewable Energy Laboratory Technical Report NREL/TP-7A30-56091 December 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 Clean Cities 2011 Annual Metrics Report Caley Johnson Prepared under Task No. VTP2.0020 Technical Report NREL/TP-7A30-56091 December 2012 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty,

296

Null limits of the C-metric  

E-Print Network (OSTI)

The C-metric is usually understood as describing two black holes which accelerate in opposite directions under the action of some conical singularity. Here, we examine all the solutions of this type which represent accelerating sources and investigate the null limit in which the accelerations become unbounded. We show that the resulting space-times represent spherical impulsive gravitational waves generated by snapping or expanding cosmic strings.

J. Podolsky; J. B. Griffiths

2000-06-27T23:59:59.000Z

297

Transmission System Reliability Performance Metrics Requirements  

Science Conference Proceedings (OSTI)

Transmission availability has become the significant indicator of overall transmission system operational health, due to increased utilization of the transmission system, growth of deregulated energy wholesale markets, and decreased investment in new transmission assets. Availability trends reflect the increasing dependence upon transmission assets from a technical and market perspective. Presently availability metrics lack comparability due to the non-standardization of underlying data collection method...

2003-12-12T23:59:59.000Z

298

On the Metric of Space-time  

E-Print Network (OSTI)

Maxwell's equations are obeyed in a one-parameter group of isotropic gravity-free flat space-times whose metric depends upon the value of the group parameter. An experimental determination of this value has been proposed. If it is zero, the metric is Minkowski's. If it is non-zero, the metric is not Poincare invariant and local frequencies of electromagnetic waves change as they propagate. If the group parameter is positive, velocity independent red shifts develop and the group parameter plays a role similar to that of Hubble's constant in determining the relation of these redshifts to propagation distance. In the resulting space-times, the velocity dependence of Doppler shifts is a function of propagation distance. If the group parameter and Hubble's constant have the same order of magnitude, observed frequency shifts in radiation received from stellar sources can imply source velocities quite different from those implied in Minkowski space. In these space-times, electromagnetic waves received from bodies in galactic Kepler orbits undergo frequency shifts which are indistinguishable from shifts currently attributed to dark matter and dark energy in Minkowski space, or to a non-Newtonian physics.

Carl E. Wulfman

2013-02-02T23:59:59.000Z

299

Microsoft Word - table_87  

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

5 5 Table 6. Natural gas processed, liquids extracted, and natural gas plant liquids production, by state, 2012 Alabama 87,269 5,309 7,110 Alabama Onshore Alabama 33,921 2,614 3,132 Alabama Offshore Alabama 53,348 2,695 3,978 Alaska 2,788,997 18,339 21,470 Alaska 2,788,997 18,339 21,470 Arkansas 6,872 336 424 Arkansas 6,872 336 424 California 169,203 9,923 12,755 California Onshore California 169,203 9,923 12,755 California Offshore California NA NA NA Federal Offshore California NA NA NA

300

TABLE OF CONTENTS  

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

2 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 5 B. Detailed Reports 1.1 Magnets & Supports 8 1.2 Vacuum System 12 1.3 Power Supplies 14 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.7 Beam Line Front Ends 19 1.8 Facilities 19 1.9 Installation 20 2.1 Accelerator Physics 21 2 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress The progress and highlights of each major technical system are summarized below. Additional details are provided in Section B. Magnets - As of the end of this quarter (March 31, 2002), the status of magnet fabrication is as follows: Magnet Type Number Received % of Total Received Dipoles 40 100% Quadrupoles 102 100% Sextupoles 76 100%

Note: This page contains sample records for the topic "metric conversions table" 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

Reviews, Tables, and Plots  

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

4 Review of Particle Physics 4 Review of Particle Physics Please use this CITATION: S. Eidelman et al. (Particle Data Group), Phys. Lett. B 592, 1 (2004) (bibtex) Standalone figures are now available for these reviews. Categories: * Constants, Units, Atomic and Nuclear Properties * Standard Model and Related Topics * Particle Properties * Hypothetical Particles * Astrophysics and Cosmology * Experimental Methods and Colliders * Mathematical Tools * Kinematics, Cross-Section Formulae, and Plots * Authors, Introductory Text, History plots PostScript help file PDF help file Constants, Units, Atomic and Nuclear Properties Physical constants (Rev.) PS PDF (1 page) Astrophysical constants (Rev.) PS PDF (2 pages) International System of units (SI) PS PDF (2 pages) Periodic table of the elements (Rev.) errata PS PDF (1 page)

302

Table G3  

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

1905-0194 1905-0194 Expiration Date: 07/31/2013 May 28, 2010 Voluntary Reporting of Greenhouse Gases 14 Table G3. Decision Chart for a Start Year Report for a Large Emitter Intending To Register Reductions Report Characteristics Reporting Requirements Schedule I Schedule II (For Each Subentity) Schedule III Schedule IV Sec. 1 Sec. 2 Sec. 3 Sec. 4 Sec. 1 Sec. 2 & Add. A Sec. 3 Sec. 1 Sec. 2 Sec. 1 Sec. 2 Part A Part B Part C Part D Part E Part A Part B Part C Independent Verification? All A- or B-Rated Methods? Foreign Emissions? Entity-Wide Reductions Only? Entity Statement Aggregated Emissions by Gas (Domestic and Foreign) † Emissions Inventory by Source

303

TABLE OF CONTENTS  

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

through June 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 9 1.2 Vacuum System 16 1.3 Power Supplies 21 1.4 RF System 25 1.5 Instrumentation & Controls 26 1.6 Cable Plant 28 1.8 Facilities 28 2.0 Accelerator Physics 29 2.1 ES&H 31 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress Magnet System - The project has received three shipments of magnets from IHEP. A total of 55 dipole, quadrupole and sextupole magnets out of 218 have arrived. All main magnets will arrive by December. The additional mechanical and electrical checks of the magnets at SSRL have been successful. Only minor mechanical problems were found and corrected. The prototype

304

TABLE OF CONTENTS  

National Nuclear Security Administration (NNSA)

AC05-00OR22800 AC05-00OR22800 TABLE OF CONTENTS Contents Page # TOC - i SECTION A - SOLICITATION/OFFER AND AWARD ......................................................................... A-i SECTION B - SUPPLIES OR SERVICES AND PRICES/COSTS ........................................................ B-i B.1 SERVICES BEING ACQUIRED ....................................................................................B-2 B.2 TRANSITION COST, ESTIMATED COST, MAXIMUM AVAILABLE FEE, AND AVAILABLE FEE (Modification 295, 290, 284, 280, 270, 257, 239, 238, 219, M201, M180, M162, M153, M150, M141, M132, M103, M092, M080, M055, M051, M049, M034, M022, M003, A002) ..........................................................B-2 SECTION C - DESCRIPTION/SPECIFICATION/WORK STATEMENT DESCRIPTION OF

305

Table of Contents  

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

U U U . . S S . . D D E E P P A A R R T T M M E E N N T T O O F F E E N N E E R R G G Y Y O O F F F F I I C C E E O O F F I I N N S S P P E E C C T T O O R R G G E E N N E E R R A A L L Semiannual Report toCongress DOE/IG-0065 April 1 - September 30, 2013 TABLE OF CONTENTS From the Desk of the Inspector General ..................................................... 2 Impacts Key Accomplishments ............................................................................................... 3 Positive Outcomes ...................................................................................................... 3 Reports Investigative Outcomes .............................................................................................. 6 Audits ......................................................................................................................... 8

306

Engineering Tables: Reinforcement Materials  

Science Conference Proceedings (OSTI)

Table 1   Properties of key reinforcement materials...3 GPa 10 6 psi GPa 10 6 psi GPa 10 6 psi Carbon fiber (pitch) E = 55 � 10 6 psi 2.0 0.072 380 55 � � 190 28 E = 75 � 10 6 psi 2.0 0.072 520 75 � � 260 38 E = 100 � 10 6 psi 2.2 0.078 690 100 5 0.7 314 46 E = 120 � 10 6 psi 2.2 0.078 830 120 5 0.7 377 55 E = 130 � 10 6 psi 2.2 0.078 895 130 5 0.7 407...

307

TABLE OF CONTENTS  

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

October October through December 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 7 1.2 Vacuum System 9 1.3 Power Supplies 13 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.9 Installation 19 2.0 Accelerator Physics 20 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress In the magnet area, the production of all major components (dipoles, quadrupoles, and sextupoles) has been completed on schedule. This results from a highly successful collaboration with our colleagues at the Institute of High Energy Physics (IHEP) in Beijing. The production of corrector magnets is still in progress with completion scheduled for May 2002.

308

Portsmouth DUF6 Conversion Final EIS - Volume 2: Comment and Response Document: Chapters 3 and 4: Response to Documents and References  

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

Portsmouth DUF Portsmouth DUF 6 Conversion Final EIS 3 RESPONSES TO COMMENTS This section provides DOE's responses to comments received during the public comment period. Indices of the DOE responses are provided by document number (Table 3.1), by commentors' last name (Table 3.2), and by commentors' company/organization (Table 3.3). Most of the comments received apply to both the Portsmouth and the Paducah conversion facility EISs. However, there are some comment documents that apply specifically to one EIS or the other. An index of comment documents indicating their applicability to each EIS is given in Table 3.4. Table 3.5 lists only those comment documents that apply to the Portsmouth EIS, and Table 3.6 lists those comment documents that apply to the Paducah EIS. Table 3.7 lists the

309

Paducah DUF6 Conversion Final EIS - Volume 2: Comment and Response Document: Chapters 3 and 4: Responses to Comments and References  

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

Paducah DUF Paducah DUF 6 Conversion Final EIS 3 RESPONSES TO COMMENTS This section provides DOE's responses to comments received during the public comment period. Indices of the DOE responses are provided by document number (Table 3.1), by commentors' last name (Table 3.2), and by commentors' company/organization (Table 3.3). Most of the comments received apply to both the Portsmouth and the Paducah conversion facility EISs. However, there are some comment documents that apply specifically to one EIS or the other. An index of comment documents indicating their applicability to each EIS is given in Table 3.4. Table 3.5 lists only those comment documents that apply to the Portsmouth EIS, and Table 3.6 lists those comment documents that apply to the Paducah EIS. Table 3.7 lists the

310

The Dose Rate Conversion Factors for Nuclear Fallout  

SciTech Connect

In a previous paper, the composite exposure rate conversion factor (ECF) for nuclear fallout was calculated using a simple theoretical photon-transport model. The theoretical model was used to fill in the gaps in the FGR-12 table generated by ORNL. The FGR-12 table contains the individual conversion factors for approximate 1000 radionuclides. However, in order to calculate the exposure rate during the first 30 minutes following a nuclear detonation, the conversion factors for approximately 2000 radionuclides are needed. From a human-effects standpoint, it is also necessary to have the dose rate conversion factors (DCFs) for all 2000 radionuclides. The DCFs are used to predict the whole-body dose rates that would occur if a human were standing in a radiation field of known exposure rate. As calculated by ORNL, the whole-body dose rate (rem/hr) is approximately 70% of the exposure rate (R/hr) at one meter above the surface. Hence, the individual DCFs could be estimated by multiplying the individual ECFs by 0.7. Although this is a handy rule-of-thumb, a more consistent (and perhaps, more accurate) method of estimating the individual DCFs for the missing radionuclides in the FGR-12 table is to use the linear relationship between DCF and total gamma energy released per decay. This relationship is shown in Figure 1. The DCFs for individual organs in the body can also be estimated from the estimated whole-body DCF. Using the DCFs given FGR-12, the ratio of the organ-specific DCFs to the whole-body DCF were plotted as a function of the whole-body DCF. From these plots, the asymptotic ratios were obtained (see Table 1). Using these asymptotic ratios, the organ-specific DCFs can be estimated using the estimated whole-body DCF for each of the missing radionuclides in the FGR-12 table. Although this procedure for estimating the organ-specific DCFs may over-estimate the value for some low gamma-energy emitters, having a finite value for the organ-specific DCFs in the table is probably better than having no value at all. A summary of the complete ECF and DCF values are given in Table 2.

Spriggs, G D

2009-02-13T23:59:59.000Z

311

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

312

Overview of coal conversion  

SciTech Connect

The structure of coal and the processes of coal gasification and coal liquefaction are reviewed. While coal conversion technology is not likely to provide a significant amount of synthetic fuel within the next several years, there is a clear interest both in government and private sectors in the development of this technology to hedge against ever-diminishing petroleum supplies, especially from foreign sources. It is evident from this rather cursory survey that there is some old technology that is highly reliable; new technology is being developed but is not ready for commercialization at the present state of development. The area of coal conversion is ripe for exploration both on the applied and basic research levels. A great deal more must be understood about the reactions of coal, the reactions of coal products, and the physics and chemistry involved in the various stages of coal conversion processes in order to make this technology economically viable.

Clark, B.R.

1981-03-27T23:59:59.000Z

313

Digital optical conversion module  

DOE Patents (OSTI)

A digital optical conversion module used to convert an analog signal to a computer compatible digital signal including a voltage-to-frequency converter, frequency offset response circuitry, and an electrical-to-optical converter. Also used in conjunction with the digital optical conversion module is an optical link and an interface at the computer for converting the optical signal back to an electrical signal. Suitable for use in hostile environments having high levels of electromagnetic interference, the conversion module retains high resolution of the analog signal while eliminating the potential for errors due to noise and interference. The module can be used to link analog output scientific equipment such as an electrometer used with a mass spectrometer to a computer.

Kotter, Dale K. (North Shelley, ID); Rankin, Richard A. (Ammon, ID)

1991-02-26T23:59:59.000Z

314

Direct conversion technology  

DOE Green Energy (OSTI)

The overall objective of the Direct Conversion Technology task is to develop an experimentally verified technology base for promising direct conversion systems that have potential application for energy conservation in the end-use sectors. This report contains progress of research on the Alkali Metal Thermal-to-Electric Converter (AMTEC) and on the Two-Phase Liquid-Metal MHD Electrical Generator (LMMHD) for the period January 1, 1991 through December 31, 1991. Research on AMTEC and on LMMHD was initiated during October 1987. Reports prepared on previous occasions (Refs. 1--5) contain descriptive and performance discussions of the following direct conversion concepts: thermoelectric, pyroelectric, thermionic, thermophotovoltaic, thermoacoustic, thermomagnetic, thermoelastic (Nitionol heat engine); and also, more complete descriptive discussions of AMTEC and LMMHD systems.

Massier, P.F.; Back, L.H.; Ryan, M.A.; Fabris, G.

1992-01-07T23:59:59.000Z

315

Digital optical conversion module  

DOE Patents (OSTI)

A digital optical conversion module used to convert an analog signal to a computer compatible digital signal including a voltage-to-frequency converter, frequency offset response circuitry, and an electrical-to-optical converter. Also used in conjunction with the digital optical conversion module is an optical link and an interface at the computer for converting the optical signal back to an electrical signal. Suitable for use in hostile environments having high levels of electromagnetic interference, the conversion module retains high resolution of the analog signal while eliminating the potential for errors due to noise and interference. The module can be used to link analog output scientific equipment such as an electrometer used with a mass spectrometer to a computer. 2 figs.

Kotter, D.K.; Rankin, R.A.

1988-07-19T23:59:59.000Z

316

ARM - Instrument - s-table  

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

govInstrumentss-table govInstrumentss-table Documentation S-TABLE : Instrument Mentor Monthly Summary (IMMS) reports S-TABLE : Data Quality Assessment (DQA) reports 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 Instrument : Stabilized Platform (S-TABLE) Instrument Categories Ocean Observations For ship-based deployments, some instruments require actively stabilized platforms to compensate for the ship's motion, especially rotations around the long axis of the ship (roll), short axis (pitch), and, for some instruments, vertical axis (yaw). ARM currently employs two types of stabilized platforms: one electrically controlled for lighter instruments that includes yaw control (dubbed RPY for Roll, Pitch, Yaw) and one

317

Power conversion technologies  

DOE Green Energy (OSTI)

The Power Conservation Technologies thrust area supports initiatives that enhance the core competencies of the Lawrence Livermore National Laboratory (LLNL) Engineering Directorate in the area of solid-state power electronics. Through partnerships with LLNL programs, projects focus on the development of enabling technologies for existing and emerging programs that have unique power conversion requirements. This year, a multi-disciplinary effort was supported which demonstrated solid-state, high voltage generation by using a dense, monolithic photovoltaic array. This effort builds upon Engineering's strengths in the core technology areas of power conversion, photonics, and microtechnologies.

Haigh, R E

1998-01-01T23:59:59.000Z

318

Direct Conversion Technology  

DOE Green Energy (OSTI)

The overall objective of the Direct Conversion Technology task is to develop an experimentally verified technology base for promising direct conversion systems that have potential application for energy conservation in the end-use sectors. Initially, two systems were selected for exploratory research and advanced development. These are Alkali Metal Thermal-to-Electric Converter (AMTEC) and Two-Phase Liquid Metal MD Generator (LMMHD). This report describes progress that has been made during the first six months of 1992 on research activities associated with these two systems. (GHH)

Back, L.H.; Fabris, G.; Ryan, M.A.

1992-07-01T23:59:59.000Z

319

Microsoft Word - table_B2.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Table B2. Thermal conversion factors and data, 2007-2011 Conversion Factor (Btu per cubic foot) Production Marketed 1,102 1,100 1,101 R 1,098 1,094 Extraction Loss 2,648 2,643 2,627 R 2,598 2,550 Total Dry Production 1,027 1,027 1,025 1,023 1,022 Supply Dry Production 1,027 1,027 1,025 1,023 1,022 Receipts at U.S. Borders Imports 1,025 1,025 1,025 1,025 1,025 Intransit Receipts 1,025 1,025 1,025 1,025 1,025 Withdrawals from Storage Underground Storage 1,027 1,027 1,025 1,023 1,022 LNG Storage 1,027 1,027 1,025 1,023 1,022 Supplemental Gas Supplies 1,027 1,027 1,025 1,023 1,022 Balancing Item 1,093 548 1,272 R 793 1,163 Total Supply NA NA NA NA NA

320

C:\\WEBSHARE\\WWWROOT\\forecastactuals\\tables2_18.wpd  

Annual Energy Outlook 2012 (EIA)

Tables 2 through 18 Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption,...

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We encourage you to perform a real-time search of NLEBeta
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321

FY 2014 Budget Request Summary Table | Department of Energy  

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

Summary Table FY 2014 Budget Request Summary Table Summary Table by Appropriations Summary Table by Organization More Documents & Publications FY 2014 Budget Justification Details...

322

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

323

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

324

Table 2.xls  

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

Project-level Reductions and Sequestration Reported, Data Year 2005 Project-level Reductions and Sequestration Reported, Data Year 2005 (Metric Tons Carbon Dioxide Equivalent) 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Indirect 1 85 621 699 3,129 3,411 4,120 3,850 5,988 4,211 6,193 4,890 4,102 6,243 Sequestration 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 Direct 16 Indirect 16,191 14,656 17,745 17,748 17,859 19,897 18,925 21,070 85,711 118,115 156,534 236,368 215,033 214,678 220,420 Sequestration 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 Sequestration 550,000 70,000 290,000 370,000 480,000 440,000 440,000 590,000 530,000 370,000 410,000 410,000 410,000 410,000 410,000 Direct 1,091 38,702 44,227

325

Energy Conversion, Storage, and Transport News  

Science Conference Proceedings (OSTI)

NIST Home > Energy Conversion, Storage, and Transport News. Energy Conversion, Storage, and Transport News. (showing ...

2010-10-26T23:59:59.000Z

326

Energy Conversion, Storage, and Transport Portal  

Science Conference Proceedings (OSTI)

NIST Home > Energy Conversion, Storage, and Transport Portal. Energy Conversion, Storage, and Transport Portal. Programs ...

2013-04-08T23:59:59.000Z

327

Links to on-line unit conversions  

Science Conference Proceedings (OSTI)

... Basic physical quantities. General unit, currency, and temperature conversion. ... Many conversions, including unusual and ancient units. ...

328

Model Energy Conversion Efficiency of Biological Systems  

Science Conference Proceedings (OSTI)

MML Researchers Model Energy Conversion Efficiency of Biological Systems. Novel, highly efficient energy conversion ...

2013-03-15T23:59:59.000Z

329

Photovoltaic Energy Conversion  

E-Print Network (OSTI)

Photovoltaic Energy Conversion Frank Zimmermann #12;Solar Electricity Generation Consumes no fuel Buy Solar Energy Stocks? Make Photovoltaics your Profession! #12;Challenges Make solar cells more and fossil fuel depletion problems! #12;Photovoltaics: Explosive Growth #12;Take Advantage of Solar Megatrend

Glashausser, Charles

330

ENERGY CONVERSION Spring 2011  

E-Print Network (OSTI)

in this course: Week 1: Review Week 2: Entropy and exergy Week 3: Power cycles, Otto and Diesel Week 4 resources including: wind, wave energy conversion devices, and fuel cell technologies Week12: Introduction will work in groups as assigned. Experiment: Diesel Engine Assessment: Projects 20% Lab Reports

Bahrami, Majid

331

table14.xls  

Gasoline and Diesel Fuel Update (EIA)

Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 AEO 1993 1.85 1.94 2.09 2.30 2.44 2.60 2.85 3.12 3.47 3.84 4.31 4.81 5.28

332

Solar energy conversion.  

SciTech Connect

If solar energy is to become a practical alternative to fossil fuels, we must have efficient ways to convert photons into electricity, fuel, and heat. The need for better conversion technologies is a driving force behind many recent developments in biology, materials, and especially nanoscience. The Sun has the enormous untapped potential to supply our growing energy needs. The barrier to greater use of the solar resource is its high cost relative to the cost of fossil fuels, although the disparity will decrease with the rising prices of fossil fuels and the rising costs of mitigating their impact on the environment and climate. The cost of solar energy is directly related to the low conversion efficiency, the modest energy density of solar radiation, and the costly materials currently required. The development of materials and methods to improve solar energy conversion is primarily a scientific challenge: Breakthroughs in fundamental understanding ought to enable marked progress. There is plenty of room for improvement, since photovoltaic conversion efficiencies for inexpensive organic and dye-sensitized solar cells are currently about 10% or less, the conversion efficiency of photosynthesis is less than 1%, and the best solar thermal efficiency is 30%. The theoretical limits suggest that we can do much better. Solar conversion is a young science. Its major growth began in the 1970s, spurred by the oil crisis that highlighted the pervasive importance of energy to our personal, social, economic, and political lives. In contrast, fossil-fuel science has developed over more than 250 years, stimulated by the Industrial Revolution and the promise of abundant fossil fuels. The science of thermodynamics, for example, is intimately intertwined with the development of the steam engine. The Carnot cycle, the mechanical equivalent of heat, and entropy all played starring roles in the development of thermodynamics and the technology of heat engines. Solar-energy science faces an equally rich future, with nanoscience enabling the discovery of the guiding principles of photonic energy conversion and their use in the development of cost-competitive new technologies.

Crabtree, G. W.; Lewis, N. S. (Materials Science Division); (California Inst. of Tech.)

2008-03-01T23:59:59.000Z

333

Microsoft Word - front_matter_Dec12.docx  

Gasoline and Diesel Fuel Update (EIA)

3 3 Appendix B Metric and Thermal Conversion Tables Metric Conversions Table B1 presents Summary Statistics for Natural Gas in the United States for 2007 through 2011 in metric units of measure. Volumes are shown in cubic meters instead of cubic feet. Prices are shown in nominal dollars per thousand cubic meters instead of dollars per thousand cubic feet. The data in this table have been converted from the data that appear in Table 1 of this report. Thermal Conversions Table B2 presents the thermal (Btu) conversion factors and the converted data for natural gas supply and disposition from 2007 through 2011. A brief documentation for the thermal conversion factors follows:

334

MECS Fuel Oil Tables  

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

: Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas : Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas Year Distillate Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 185 148 1224 3.4% 1994 152 125 1020 3.1% Residual Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 505 290 1577 16.7% 1994 441 241 1249 19.8% Natural Gas (TBtu) Actual Minimum Maximum Discretionary Rate 1985 4656 2702 5233 77.2% 1994 6141 4435 6758 73.4% Source: Energy Information Administration, Office of Energy Markets and End Use, 1985 and 1994 Manufacturing Energy Consumption Surveys. Table 2: Establishments That Actually Switched Between Natural Gas and Residual Fuel Oil Type of Switch Number of Establishments in Population Number That Use Original Fuel Percentage That Use Original Fuel Number That Can Switch to Another Fuel Percentage That Can Switch to Another Fuel Number That Actually Made a Switch Percentage That Actually Made a Switch

335

TABLE OF CONTENTS  

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

Turbines The Gas Turbine Handbook The Gas Turbine Handbook TABLE OF CONTENTS Acknowledgements Updated Author Contact Information Introduction - Rich Dennis, Turbines Technology Manager 1.1 Simple and Combined Cycles - Claire Soares 1.1-1 Introduction 1.1-2 Applications 1.1-3 Applications versatility 1.1-4 The History of the Gas Turbine 1.1-5 Gas Turbine, Major Components, Modules, and systems 1.1-6 Design development with Gas Turbines 1.1-7 Gas Turbine Performance 1.1-8 Combined Cycles 1.1-9 Notes 1.2 Integrated Coal Gasification Combined Cycle (IGCC) - Massod Ramezan and Gary Stiegel 1.2-1 Introduction 1.2-2 The Gasification Process 1.2-3 IGCC Systems 1.2-4 Gasifier Improvements 1.2-5 Gas Separation Improvements 1.2-6 Conclusions 1.2-7 Notes 1.2.1 Different Types of Gasifiers and Their Integration with Gas Turbines - Jeffrey Phillips

336

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

337

Measurable Control System Security through Ideal Driven Technical Metrics  

Science Conference Proceedings (OSTI)

The Department of Homeland Security National Cyber Security Division supported development of a small set of security ideals as a framework to establish measurable control systems security. Based on these ideals, a draft set of proposed technical metrics was developed to allow control systems owner-operators to track improvements or degradations in their individual control systems security posture. The technical metrics development effort included review and evaluation of over thirty metrics-related documents. On the bases of complexity, ambiguity, or misleading and distorting effects the metrics identified during the reviews were determined to be weaker than necessary to aid defense against the myriad threats posed by cyber-terrorism to human safety, as well as to economic prosperity. Using the results of our metrics review and the set of security ideals as a starting point for metrics development, we identified thirteen potential technical metrics - with at least one metric supporting each ideal. Two case study applications of the ideals and thirteen metrics to control systems were then performed to establish potential difficulties in applying both the ideals and the metrics. The case studies resulted in no changes to the ideals, and only a few deletions and refinements to the thirteen potential metrics. This led to a final proposed set of ten core technical metrics. To further validate the security ideals, the modifications made to the original thirteen potential metrics, and the final proposed set of ten core metrics, seven separate control systems security assessments performed over the past three years were reviewed for findings and recommended mitigations. These findings and mitigations were then mapped to the security ideals and metrics to assess gaps in their coverage. The mappings indicated that there are no gaps in the security ideals and that the ten core technical metrics provide significant coverage of standard security issues with 87% coverage. Based on the two case studies and evaluation of the seven assessments, the security ideals demonstrated their value in guiding security thinking. Further, the final set of core technical metrics has been demonstrated to be both usable in the control system environment and provide significant coverage of standard security issues.

Miles McQueen; Wayne Boyer; Sean McBride; Marie Farrar; Zachary Tudor

2008-01-01T23:59:59.000Z

338

Question detection in spoken conversations using textual conversations  

Science Conference Proceedings (OSTI)

We investigate the use of textual Internet conversations for detecting questions in spoken conversations. We compare the text-trained model with models trained on manually-labeled, domain-matched spoken utterances with and without prosodic features. ...

Anna Margolis; Mari Ostendorf

2011-06-01T23:59:59.000Z

339

DOE Uranium Leasing Program - Lease Tract Metrics  

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

Uranium Leasing Program -- Lease Tract Metrics Uranium Leasing Program -- Lease Tract Metrics Lease Tract Lessee Lease Date Bid (%) Reclamation Bond a Total Acres Acres Excluded b Comment C-JD-5 Gold Eagle Mining, Inc. 04/30/08 12.00 37,000 150.71 C-JD-5A Golden Eagle Uranium, LLC 06/27/08 20.10 5,000 24.54 C-JD-6 Cotter Corporation 04/30/08 14.20 19,000 530.08 C-JD-7 c Cotter Corporation 04/30/08 27.30 1,206,000 493.01 C-JD-8 Cotter Corporation 04/30/08 36.20 4,000 954.62 C-JD-8A No bids received - remains inactive N/A N/A N/A 77.91 C-JD-9 Cotter Corporation 04/30/08 24.30 72,000 1,036.50 C-SR-10 Golden Eagle Uranium, LLC 06/27/08 13.10 5,000 637.64 C-SR-11 Cotter Corporation 04/30/08 11.67 43,000 1,303.22 200.25 Summit Canyon area excluded from lease tract C-SR-11A Golden Eagle Uranium, LLC 06/27/08 14.30 5,000 1,296.81 C-SR-12 Colorado Plateau Partners 06/27/08

340

EM Corporate Performance Metrics, Complex Level  

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

Complex Level Complex Level July, 2013 Performance Measure Unit Lifecycle Total Estimate Pre-2013 Lifecycle Values 2013 Target 2014 Target Pu packaged for long-term disposition Number of Containers 5,089 5,089 5,089 5,089 eU packaged for disposition Number of Containers 8,198 8,016 8,016 8,016 Pu/U residues packaged for disposition Kilograms of Bulk 107,828 107,828 107,828 107,828 DU & U packaged for disposition Metric Tons 736,801 32,452 45,317 76,817 Liquid Waste eliminated Thousands of Gallons 91,907 5,340 6,260 6,812 Liquid Waste Tanks closed Number of Tanks 239 11 11 13 HLW packaged for disposition Number of Containers 24,183 3,802 4,077 4,283 SNF packaged for disposition Metric Tons of Heavy Metal 2,450 2,128 2,128 2,128

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341

Defining a Standard Metric for Electricity Savings  

SciTech Connect

The growing investment by governments and electric utilities in energy efficiency programs highlights the need for simple tools to help assess and explain the size of the potential resource. One technique that is commonly used in this effort is to characterize electricity savings in terms of avoided power plants, because it is easier for people to visualize a power plant than it is to understand an abstraction such as billions of kilowatt-hours. Unfortunately, there is no standardization around the characteristics of such power plants. In this letter we define parameters for a standard avoided power plant that have physical meaning and intuitive plausibility, for use in back-of-the-envelope calculations. For the prototypical plant this article settles on a 500 MW existing coal plant operating at a 70percent capacity factor with 7percent T&D losses. Displacing such a plant for one year would save 3 billion kW h per year at the meter and reduce emissions by 3 million metric tons of CO2 per year. The proposed name for this metric is the Rosenfeld, in keeping with the tradition among scientists of naming units in honor of the person most responsible for the discovery and widespread adoption of the underlying scientific principle in question--Dr. Arthur H. Rosenfeld.

Brown, Marilyn; Akbari, Hashem; Blumstein, Carl; Koomey, Jonathan; Brown, Richard; Calwell, Chris; Carter, Sheryl; Cavanagh, Ralph; Chang, Audrey; Claridge, David; Craig, Paul; Diamond, Rick; Eto, Joseph H.; Fulkerson, William; Gadgil, Ashok; Geller, Howard; Goldemberg, Jose; Goldman, Chuck; Goldstein, David B.; Greenberg, Steve; Hafemeister, David; Harris, Jeff; Harvey, Hal; Heitz, Eric; Hirst, Eric; Hummel, Holmes; Kammen, Dan; Kelly, Henry; Laitner, Skip; Levine, Mark; Lovins, Amory; Masters, Gil; McMahon, James E.; Meier, Alan; Messenger, Michael; Millhone, John; Mills, Evan; Nadel, Steve; Nordman, Bruce; Price, Lynn; Romm, Joe; Ross, Marc; Rufo, Michael; Sathaye, Jayant; Schipper, Lee; Schneider, Stephen H; Sweeney, James L; Verdict, Malcolm; Vorsatz, Diana; Wang, Devra; Weinberg, Carl; Wilk, Richard; Wilson, John; Worrell, Ernst

2009-03-01T23:59:59.000Z

342

Performance Metrics and Budget Division (HC-51) | Department of Energy  

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

Performance Metrics and Budget Division (HC-51) Performance Metrics and Budget Division (HC-51) Performance Metrics and Budget Division (HC-51) MISSION: The mission of the Performance Metrics and Budget Division (HC-51) is to support the effective and efficient implementation of the Department of Energy's human capital initiatives and functions through the strategic integration of corporate human capital performance metrics and the budget of the Office of the Chief Human Capital Officer (HC). FUNCTIONS: Human capital performance measurement and strategic functions at the DOE and interagency levels include: Provides analytical support and strategic advice to internal and external HC stakeholders on the appropriate and effective use of performance metrics as a key to effective strategic human capital management.

343

EIA - Annual Energy Outlook 2009 - chapter Tables  

Gasoline and Diesel Fuel Update (EIA)

Chapter Tables Chapter Tables Annual Energy Outlook 2009 with Projections to 2030 Chapter Tables Table 1. Estimated fuel economy for light-duty vehicles, based on proposed CAFE standards, 2010-2015 Table 2. State appliance efficiency standards and potential future actions Table 3. State renewable portfolio standards Table 4. Key analyses from "issues in Focus" in recent AEOs Table 5. Liquid fuels production in three cases, 2007 and 2030 Table 6. Assumptions used in comparing conventional and plug-in hybrid electric vehicles Table 7. Conventional vehicle and plug-in hybrid system component costs for mid-size vehicles at volume production Table 8. Technically recoverable resources of crude oil and natural gas in the Outer Continental Shelf, as of January 1, 2007

344

May 2012 Table of Contents  

Science Conference Proceedings (OSTI)

May 2012 Table of Contents Inform Magazine Inform Archives News May 2012 Chocolate science Chocolate may be soft, but the science behind it is not. This issue features the latest research on this delectable topic....

345

April 2012 Table of Contents  

Science Conference Proceedings (OSTI)

April 2012 Table of Contents Inform Magazine Inform Archives News April 2012 Letter from the president Outgoing AOCS President Erich Dumelin reviews progress in 2011 and looks forward to the organization’s inc

346

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2007 (Million Cubic Feet) Alabama ... 270,407 19,831 77,311 90,589 0 -69 0 418,545...

347

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2009 (Million Cubic Feet) Alabama ... 236,029 17,232 -25,416 258,787 0 -2,099 0 454,268...

348

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2006 (Million Cubic Feet) Alabama ... 286,220 21,065 37,079 97,347 0 8,484 0 391,098...

349

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2005 (Million Cubic Feet) Alabama ... 296,528 13,759 131,734 -60,062 0 103 0 354,339...

350

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2008 (Million Cubic Feet) Alabama ... 257,884 17,222 1,335 166,539 0 4,379 0 404,157...

351

March 2011 Table of Contents  

Science Conference Proceedings (OSTI)

March 2011 Table of Contents Inform Magazine Inform Archives News 126   Innovative, sustainable consumption: A challenge for the entire value chain In our continuing coverage of the 7th World Conference on Detergents,

352

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE4-1e. Water-Heating Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD ...

353

June 2012 Table of Contents  

Science Conference Proceedings (OSTI)

June 2012 Table of Contents Inform Magazine Inform Archives News June 2012 Science and modern art Oil paintings produced after the industrialization of paint manufacture often are more vulnerable to degradation than

354

Table H.1co2  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table H.1co2 World Carbon Dioxide Emissions from the Consumption and Flaring of Fossil ...

355

April 2011 Table of Contents  

Science Conference Proceedings (OSTI)

April 2011 Table of Contents Inform Magazine Inform Archives News 186   Letter from the president Outgoing AOCS President J. Keith Grime reviews progress made in 2010 and looks forward to the organization's incre

356

September 2012 Table of Contents  

Science Conference Proceedings (OSTI)

September 2012 Table of Contents Inform Magazine Inform Archives News September 2012 Nanoscale oil confinement in fat crystal networks: Why puff pastries are a new frontier for theoretical physicists A theoretical p

357

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE5-1e. Appliances1 Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone2 RSE Row Factors Fewer than 2,000 CDD and --

358

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2009 Alabama ... 0.8 0.8 2.1 0.3 3.3 Alaska... 0.4...

359

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2005 Alabama ... 0.87 0.86 2.24 0.52 1.79 Alaska......

360

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2006 Alabama ... 0.87 0.86 2.31 0.67 2.34 Alaska......

Note: This page contains sample records for the topic "metric conversions table" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2008 Alabama ... 0.78 0.80 2.14 0.36 2.46 Alaska......

362

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2007 Alabama ... 0.75 0.78 2.27 0.47 2.57 Alaska......

363

February 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform magazine February 2012 Table of Contents Inform Magazine Inform Archives News February 2012 66     Patrick Donnelly named CEO of AOCS Our new CEO, Patrick Donnelly, brings a passion for sci

364

October 2011 Table of Contents  

Science Conference Proceedings (OSTI)

October 2011 Table of Contents Inform Magazine Inform Archives News 542     Soy and breast cancer Are soy foods safe for postmenopausal women who have had breast cancer? Associate Editor Catherine Watk

365

October 2012 Table of Contents  

Science Conference Proceedings (OSTI)

October 2012 Table of Contents Inform Magazine Inform Archives News October 2012 The science behind optimal frying Understanding the frying process can lead to better food and fat quality, a higher degree of control

366

September 2011 Table of Contents  

Science Conference Proceedings (OSTI)

September 2011 Table of Contents Inform Magazine Inform Archives News 478     IOM panel recommends tripling vitamin D intake: Panel’s conservative approach receives criticism The 102nd AOCS Annua

367

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

Administration State Energy Data 2010: Prices and Expenditures 3 2 0 1 0 S U M M A R I E S Table E2. Total End-Use Energy Price Estimates, 2010 (Dollars per Million Btu)...

368

January 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform magazine January 2012 Table of Contents Inform Magazine Inform Archives News January 2012 Oilseeds in Australia Australia is now one of the world’s top three exporters of canola oil. inform take

369

Microsoft Word - table_22.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 22. Average City Gate Price of Natural Gas in the United States, 2001-2005 (Dollars per Thousand Cubic Feet) Alabama ... 6.63 4.74 6.06 6.65...

370

Microsoft Word - table_22.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 22. Average Citygate Price of Natural Gas in the United States, 2005-2009 (Dollars per Thousand Cubic Feet) Alabama ... 8.47 10.26 8.78 9.84...

371

June 2010 Table of Contents  

Science Conference Proceedings (OSTI)

June 2010 Table of Contents 330    AOCS 2.0 debuts A drum roll, please: The new AOCS web experience, otherwise known as AOCS 2.0, debuted in early May. Ca

372

August 2010 Table of Contents  

Science Conference Proceedings (OSTI)

August 2010 Table of Contents Inform Magazine Inform Archives News 471      Letter from the President AOCS President J. Keith Grime discusses the areas that AOCS will focus on in t

373

MECS 1991 Publications and Tables  

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

Publication and Tables Publication and Tables Publication and Tables Figure showing the Largest Energy Consumers in the Manufacturing Sector You have the option of downloading the entire report or selected sections of the report. Full Report - Manufacturing Consumption of Energy 1991 (file size 17.2 MB) pages:566 Selected Sections Main Text (file size 380,153 bytes) pages: 33, includes the following: Contacts Contents Executive Summary Introduction Energy Consumption in the Manufacturing Sector: An Overview Energy Consumption in the Manufacturing Sector, 1991 Manufacturing Capability To Switch Fuels Appendices Appendix A. Detailed Tables Appendix B. Survey Design, Implementation, and Estimates (file size 141,211 bytes) pages: 22. Appendix C. Quality of the Data (file size 135,511 bytes) pages: 8.

374

Wind energy conversion system  

DOE Patents (OSTI)

The wind energy conversion system includes a wind machine having a propeller connected to a generator of electric power, the propeller rotating the generator in response to force of an incident wind. The generator converts the power of the wind to electric power for use by an electric load. Circuitry for varying the duty factor of the generator output power is connected between the generator and the load to thereby alter a loading of the generator and the propeller by the electric load. Wind speed is sensed electro-optically to provide data of wind speed upwind of the propeller, to thereby permit tip speed ratio circuitry to operate the power control circuitry and thereby optimize the tip speed ratio by varying the loading of the propeller. Accordingly, the efficiency of the wind energy conversion system is maximized.

Longrigg, Paul (Golden, CO)

1987-01-01T23:59:59.000Z

375

Session: Energy Conversion  

DOE Green Energy (OSTI)

This session at the Geothermal Energy Program Review X: Geothermal Energy and the Utility Market consisted of five presentations: ''Hydrothermal Energy Conversion Technology'' by David Robertson and Raymond J. LaSala; ''Materials for Geothermal Production'' by Lawrence E. Kukacka; ''Supersaturated Turbine Expansions for Binary Geothermal Power Plants'' by Carl J. Bliem; ''Geothermal Waster Treatment Biotechnology: Progress and Advantages to the Utilities'' by Eugen T. Premuzic; and ''Geothermal Brine Chemistry Modeling Program'' by John H. Weare.

Robertson, David; LaSala, Raymond J.; Kukacka, Lawrence E.; Bliem, Carl J.; Premuzic, Eugene T.; Weare, John H.

1992-01-01T23:59:59.000Z

376

Natural gas conversion process  

Science Conference Proceedings (OSTI)

The experimental apparatus was dismantled and transferred to a laboratory space provided by Lawrence Berkeley Laboratory (LBL) which is already equipped with a high-ventilation fume hood. This will enable us to make tests at higher gas flow rates in a safe environment. Three papers presented at the ACS meeting in San Francisco (Symposium on Natural Gas Upgrading II) April 5--10, 1992 show that the goal of direct catalytic conversion of Methane into heavier Hydrocarbons in a reducing atmosphere is actively pursued in three other different laboratories. There are similarities in their general concept with our own approach, but the temperature range of the experiments reported in these recent papers is much lower and this leads to uneconomic conversion rates. This illustrates the advantages of Methane activation by a Hydrogen plasma to reach commercial conversion rates. A preliminary process flow diagram was established for the Integrated Process, which was outlined in the previous Quarterly Report. The flow diagram also includes all the required auxiliary facilities for product separation and recycle of the unconverted feed as well as for the preparation and compression of the Syngas by-product.

Not Available

1992-01-01T23:59:59.000Z

377

Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions  

E-Print Network (OSTI)

Hours (full cooling) Electrical Power Chain dP1 UPS Peak20 Electrical Power ChainBenchmarking Guide 6. Electrical Power Chain Metrics ID P1

Mathew, Paul

2010-01-01T23:59:59.000Z

378

Harmonizing Global Metrics for Data Center Energy Efficiency...  

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

Harmonizing Global Metrics for Data Center Energy Efficiency The United States of America, European Union and Japan Reach Agreement on Guiding Principles for Data Center Energy...

379

Enterprise performance measurement system : metric design framework and tools  

E-Print Network (OSTI)

Existing metric selection methodologies and performance measurement frameworks provide practicing managers with good checklists and tools to evaluate and design their enterprise performance measurement systems (EPMS) and ...

Teo, Kai Siang

2013-01-01T23:59:59.000Z

380

About nonlinear contractive conditions on cone metric spaces  

E-Print Network (OSTI)

In the present work we shall show that nonlinear contractive conditions on TVS-cone metric spaces can be reduced to nonlinear contractive conditions on usual metric spaces. Our results extend the results of Du (2010) [W.S. Du, A note on cone metric fixed point theory and its equivalence, Nonlinear Anal. 72 (2010), 2259-2261] and results of Abdeljawad and Rezapour [T. Abdeljawad, Sh. Rezapour, Some fixed point results in TVS-cone metric spaces, Fixed Point Theory (to appear 2012)].

Olaru, Ion

2011-01-01T23:59:59.000Z

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


381

DOE Hydrogen Analysis Repository: The Oil Security Metrics Model  

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

Summary Full Title: The Oil Security Metrics Model: A Tool for Evaluating the Prospective Oil Security Benefits of DOE's Energy Efficiency and Renewable Energy Research and...

382

Harmonizing Global Metrics for Data Center Energy Efficiency...  

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

Harmonizing Global Metrics for Data Center Energy Efficiency, February 2, 2010 Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers...

383

How Does Your Data Center Measure Up? Energy Efficiency Metrics...  

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

How Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center Infrastructure Systems Title How Does Your Data Center Measure Up? Energy Efficiency...

384

Harmonizing Global Metrics for Data Center Energy Efficiency...  

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

expanded to provide measurement guidelines and next steps for three additional metrics; Green Energy Coefficient (GEC), Energy Reuse Factor (ERF), and Carbon Usage Effectiveness...

385

Proposed Rules Would Allow Metric Only Labeling for Some ...  

Science Conference Proceedings (OSTI)

... the FPLA to allow manufacturers to label their products with US customary units (inch/pound/pint, etc.) and metric units (centimeter/kilogram/liter, etc ...

2010-10-05T23:59:59.000Z

386

Grid Performance Metrics Using Model-less Algorithms Pete Sauer...  

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

- Grid Performance Metrics Using Model-less Algorithms Pete Sauer and Alejandro D. Domnguez-Garca Department of Electrical and Computer Engineering University of Illinois at...

387

Projections of Full-Fuel-Cycle Energy and Emissions Metrics  

E-Print Network (OSTI)

2012a. “Analysis & Projections - Models & Documentation. ”Projections of Full-Fuel-Cycle Energy and Emissions MetricsGovernment purposes. Projections of Full-Fuel-Cycle Energy

Coughlin, Katie

2013-01-01T23:59:59.000Z

388

Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions  

E-Print Network (OSTI)

Purpose This guide describes energy efficiency metrics andEnergy Use Intensity 28 Laboratory Benchmarking Guidethe energy benchmarking approach describe in this guide can

Mathew, Paul

2010-01-01T23:59:59.000Z

389

Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions  

E-Print Network (OSTI)

Purpose This guide describes energy efficiency metrics andthe energy benchmarking approach describe in this guide candesigners and energy managers. This guide also builds on

Mathew, Paul

2010-01-01T23:59:59.000Z

390

Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions  

E-Print Network (OSTI)

Purpose This guide describes energy efficiency metrics andfor Reheat Energy Use Factor Cleanroom Benchmarking Guidethe energy benchmarking approach describe in this guide can

Mathew, Paul

2010-01-01T23:59:59.000Z

391

Forecast error metrics for Navy inventory management performance .  

E-Print Network (OSTI)

??This research establishes metrics for determining overall Navy secondary inventory forecasting accuracy when compared to actual demands at the Naval Inventory Control Point (NAVICP). Specifically,… (more)

Jackson, Kenneth J.

2011-01-01T23:59:59.000Z

392

NIST Offers US Interpretations of Recent SI (Metric) Changes  

Science Conference Proceedings (OSTI)

... It “Americanizes” the SI to cover correct US usage of metric units, such as the accepted spelling of “meter” and “liter.” In addition, the revised guide ...

2011-10-11T23:59:59.000Z

393

NIST Offers US Interpretations of Recent SI (Metric) Changes  

Science Conference Proceedings (OSTI)

... The 2008 edition of NIST Special Publications (SP) 330, The International System of Units (SI), cover correct US usage of metric units, such as the ...

2013-04-05T23:59:59.000Z

394

Metrics and Benchmarks for Energy Efficiency in Laboratories  

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

commercial buildings. These include daylight factors, illu- minance levels, lamp and ballast efficacy, lighting power density, etc. There are two key metrics for which the...

395

DUF6 Conversion Facility EISs  

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

Sign Me Up Search: OK Button DUF6 Guide DU Uses DUF6 Management and Uses DUF6 Conversion EIS Documents News FAQs Internet Resources Glossary Home Conversion Facility EISs...

396

Damage and Failure Modes of Structural Steel Components  

Science Conference Proceedings (OSTI)

... Un-enhanced frame from “Sorensen 4 at 1-44-21.jpg ... Metric Conversion Table ... Forman Williams, Director, Center for Energy Research, University ...

397

Non-perturbative scalar gauge-invariant metric fluctuations from the Ponce de Leon metric in the STM theory of gravity  

E-Print Network (OSTI)

We study our non-perturbative formalism to describe scalar gauge-invariant metric fluctuations by extending the Ponce de Leon metric.

Mariano Anabitarte; Mauricio Bellini

2007-10-08T23:59:59.000Z

398

Conversion of Questionnaire Data  

SciTech Connect

During the survey, respondents are asked to provide qualitative answers (well, adequate, needs improvement) on how well material control and accountability (MC&A) functions are being performed. These responses can be used to develop failure probabilities for basic events performed during routine operation of the MC&A systems. The failure frequencies for individual events may be used to estimate total system effectiveness using a fault tree in a probabilistic risk analysis (PRA). Numeric risk values are required for the PRA fault tree calculations that are performed to evaluate system effectiveness. So, the performance ratings in the questionnaire must be converted to relative risk values for all of the basic MC&A tasks performed in the facility. If a specific material protection, control, and accountability (MPC&A) task is being performed at the 'perfect' level, the task is considered to have a near zero risk of failure. If the task is performed at a less than perfect level, the deficiency in performance represents some risk of failure for the event. As the degree of deficiency in performance increases, the risk of failure increases. If a task that should be performed is not being performed, that task is in a state of failure. The failure probabilities of all basic events contribute to the total system risk. Conversion of questionnaire MPC&A system performance data to numeric values is a separate function from the process of completing the questionnaire. When specific questions in the questionnaire are answered, the focus is on correctly assessing and reporting, in an adjectival manner, the actual performance of the related MC&A function. Prior to conversion, consideration should not be given to the numeric value that will be assigned during the conversion process. In the conversion process, adjectival responses to questions on system performance are quantified based on a log normal scale typically used in human error analysis (see A.D. Swain and H.E. Guttmann, 'Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications,' NUREG/CR-1278). This conversion produces the basic event risk of failure values required for the fault tree calculations. The fault tree is a deductive logic structure that corresponds to the operational nuclear MC&A system at a nuclear facility. The conventional Delphi process is a time-honored approach commonly used in the risk assessment field to extract numerical values for the failure rates of actions or activities when statistically significant data is absent.

Powell, Danny H [ORNL; Elwood Jr, Robert H [ORNL

2011-01-01T23:59:59.000Z

399

Conversion factors for energy equivalents  

Science Conference Proceedings (OSTI)

... Conversion factors for energy equivalents, For your convenience, you may convert energies online below. Or display factors as: ...

400

Energy Conversion/Fuel Cells  

Science Conference Proceedings (OSTI)

About this Symposium. Meeting, Materials Science & Technology 2011. Symposium, Energy Conversion/Fuel Cells. Sponsorship, MS&T Organization.

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


401

Annual report Table of contents  

E-Print Network (OSTI)

re- sources and shortage in Africa. Bioethanol thanks to fungi A group of molecular biologists conversion to the Bologna system. If we want to educate qualified graduates, we have to imple- ment our checklist. Accounting. The abrupt conversion from govern- mental accounting to double-entry accounting via

Szmolyan, Peter

402

Clean Cities 2012 Annual Metrics Report  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Energy Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC. This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 Clean Cities 2012 Annual Metrics Report Caley Johnson National Renewable Energy Laboratory Technical Report NREL/TP-5400-60274 December 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. This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National Renewable Energy Laboratory

403

Metrics correlation and analysis service (MCAS)  

SciTech Connect

The complexity of Grid workflow activities and their associated software stacks inevitably involves multiple organizations, ownership, and deployment domains. In this setting, important and common tasks such as the correlation and display of metrics and debugging information (fundamental ingredients of troubleshooting) are challenged by the informational entropy inherent to independently maintained and operated software components. Because such an information 'pond' is disorganized, it a difficult environment for business intelligence analysis i.e. troubleshooting, incident investigation and trend spotting. The mission of the MCAS project is to deliver a software solution to help with adaptation, retrieval, correlation, and display of workflow-driven data and of type-agnostic events, generated by disjoint middleware.

Baranovski, Andrew; Dykstra, Dave; Garzoglio, Gabriele; Hesselroth, Ted; Mhashilkar, Parag; Levshina, Tanya; /Fermilab

2009-05-01T23:59:59.000Z

404

Boundary conditions for metric fluctuations in Lifshitz  

E-Print Network (OSTI)

We consider the quantisation of linearised fluctuations of the metric and matter fields about a Lifshitz background, exploring the possibility of alternative boundary conditions, allowing the slow fall-off modes to fluctuate. We find that for $z >2$, slow fall-off modes for some of the linearised fluctuations are normalizable, which opens up the possibility of considering alternative boundary conditions. Analysing stability, we find that alternative boundary conditions for the momentum density are allowed, but alternative boundary conditions for the energy density lead to an instability of the type we recently discovered in a similar analysis for scalar fields on a fixed Lifshitz background. Our investigation is in the context of the simple massive vector model, but we would expect the conclusions to be more general.

Andrade, Tomas

2013-01-01T23:59:59.000Z

405

EIA - Appendix A - Reference Case Projection Tables  

Gasoline and Diesel Fuel Update (EIA)

Tables (2005-2035) Tables (2005-2035) International Energy Outlook 2010 Reference Case Projections Tables (2005-2035) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Appendix A. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

406

OCEAN THERMAL ENERGY CONVERSION PROGRAMMATIC ENVIRONMENTAL ASSESSMENT  

E-Print Network (OSTI)

Ocean Thermal Energy Conversion (OTEC) Draft Programmaticof ocean thermal energy conversion technology. U.S. Depart~on Ocean TherUial Energy Conversion, June 18, 1979. Ocean

Sands, M.Dale

2013-01-01T23:59:59.000Z

407

Semiconductor Nanowires and Nanotubes for Energy Conversion  

E-Print Network (OSTI)

notably energy conversion. As research continues in thisnanowires for energy conversion. Chemical Reviews, 2010.for solar energy conversion. Physical Review Letters, 2004.

Fardy, Melissa Anne

2010-01-01T23:59:59.000Z

408

: Package gov.nist.nlpir.irf.conversion  

Science Conference Proceedings (OSTI)

gov.nist.nlpir.irf.conversion Classes Ascii2HtmlConverter ConversionRule ConversionRules IrfConverter Sgml2AppDocConverter.

409

Zinc phosphate conversion coatings  

DOE Patents (OSTI)

Zinc phosphate conversion coatings for producing metals which exhibit enhanced corrosion prevention characteristics are prepared by the addition of a transition-metal-compound promoter comprising a manganese, iron, cobalt, nickel, or copper compound and an electrolyte such as polyacrylic acid, polymethacrylic acid, polyitaconic acid and poly-L-glutamic acid to a phosphating solution. These coatings are further improved by the incorporation of Fe ions. Thermal treatment of zinc phosphate coatings to generate .alpha.-phase anhydrous zinc phosphate improves the corrosion prevention qualities of the resulting coated metal.

Sugama, Toshifumi (Wading River, NY)

1997-01-01T23:59:59.000Z

410

CIM: A Reliable Metric for Evaluating Program Phase Classifications  

E-Print Network (OSTI)

CIM: A Reliable Metric for Evaluating Program Phase Classifications Sreekumar V. Kodakara, Jinpyo Interval of estimated Mean (CIM), a metric based on statistical sampling theory, to evaluate the quality of estimated Mean (CIM) correctly estimates the quality of phase classification with a meaningful statistical

Minnesota, University of

411

Diving decompression models and bubble metrics: Modern computer syntheses  

Science Conference Proceedings (OSTI)

A quantitative summary of computer models in diving applications is presented, underscoring dual phase dynamics and quantifying metrics in tissue and blood. Algorithms covered include the multitissue, diffusion, split phase gradient, linear-exponential, ... Keywords: Bubble metrics, Computer algorithms, Decompression models, Dive computers, Diver staging

B. R. Wienke

2009-04-01T23:59:59.000Z

412

Scalar Metric fluctuations in space time matter inflation  

E-Print Network (OSTI)

Using the Ponce de Leon background metric, which describes a 5D universe in an apparent vacuum: $\\bar{G}_{AB}=0$, we study the effective 4D evolution of both, the inflaton and gauge-invariant scalar metric fluctuations, in the recently introduced model of space time matter inflation.

Mariano Anabitarte; Mauricio Bellini

2006-05-15T23:59:59.000Z

413

Ideal based cyber security technical metrics for control systems  

Science Conference Proceedings (OSTI)

Much of the world's critical infrastructure is at risk from attack through electronic networks connected to control systems. Security metrics are important because they provide the basis for management decisions that affect the protection of the ... Keywords: control system security, cyber security metrics

Wayne Boyer; Miles McQueen

2007-10-01T23:59:59.000Z

414

Phantom dark energy with tachyonic instability: metric perturbations  

E-Print Network (OSTI)

We study the behavior of metric perturbations in a recently proposed model of phantom dark energy with tachyonic instability at long wavelengths. We find that metric perturbations exponentially grow in time, starting from very small values determined by vacuum fluctuations, and may become sizeable at late times. This property may be of interest for phenomenology.

S. Sergienko; V. Rubakov

2008-03-21T23:59:59.000Z

415

Metrics for Evaluating Conventional and Renewable Energy Technologies (Presentation)  

SciTech Connect

With numerous options for the future of natural gas, how do we know we're going down the right path? How do we designate a metric to measure and demonstrate change and progress, and how does that metric incorporate all stakeholders and scenarios?

Mann, M. K.

2013-01-01T23:59:59.000Z

416

Metrics for Evaluating Conventional and Renewable Energy Technologies (Presentation)  

SciTech Connect

With numerous options for the future of natural gas, how do we know we're going down the right path? How do we designate a metric to measure and demonstrate change and progress, and how does that metric incorporate all stakeholders and scenarios?

Mann, M. K.

2013-01-01T23:59:59.000Z

417

Energy conversion system  

DOE Patents (OSTI)

The energy conversion system includes a photo-voltaic array for receiving solar radiation and converting such radiation to electrical energy. The photo-voltaic array is mounted on a stretched membrane that is held by a frame. Tracking means for orienting the photo-voltaic array in predetermined positions that provide optimal exposure to solar radiation cooperate with the frame. An enclosure formed of a radiation transmissible material includes an inside containment space that accommodates the photo-voltaic array on the stretched membrane, the frame and the tracking means, and forms a protective shield for all such components. The enclosure is preferably formed of a flexible inflatable material and maintains its preferred form, such as a dome, under the influence of a low air pressure furnished to the dome. Under this arrangement the energy conversion system is streamlined for minimizing wind resistance, sufficiently weathproof for providing protection against weather hazards such as hail, capable of using diffused light, lightweight for low-cost construction and operational with a minimal power draw.

Murphy, L.M.

1985-09-16T23:59:59.000Z

418

Energy conversion system  

DOE Patents (OSTI)

The energy conversion system includes a photo-voltaic array for receiving solar radiation and converting such radiation to electrical energy. The photo-voltaic array is mounted on a stretched membrane that is held by a frame. Tracking means for orienting the photo-voltaic array in predetermined positions that provide optimal exposure to solar radiation cooperate with the frame. An enclosure formed of a radiation transmissible material includes an inside containment space that accommodates the photo-voltaic array on the stretched membrane, the frame and the tracking means, and forms a protective shield for all such components. The enclosure is preferably formed of a flexible inflatable material and maintains its preferred form, such as a dome, under the influence of a low air pressure furnished to the dome. Under this arrangement the energy conversion system is streamlined for minimizing wind resistance, sufficiently weatherproof for providing protection against weather hazards such as hail, capable of using diffused light, lightweight for low-cost construction, and operational with a minimal power draw.

Murphy, Lawrence M. (Lakewood, CO)

1987-01-01T23:59:59.000Z

419

Compilation of Failure Data and Fault Tree Analysis for Geothermal Energy Conversion Systems  

DOE Green Energy (OSTI)

The failure data for geothermal energy conversion facilities collected to date are compiled and tabled. These facilities have not accumulated sufficient production history to reliably estimated component failure rates. In addition, the improvements made in drilling technology in recent years may have made less pertinent the accumulation of data on well failures.

Miller, F.L., Jr.; Zimmerman, D.E.

1990-11-01T23:59:59.000Z

420

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

10 10 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

Note: This page contains sample records for the topic "metric conversions table" 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

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

09 09 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

422

Nature Bulletin Table of Contents  

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

Table of Contents: Table of Contents: Here is our table of contents for the Forset Preserve District of Cook Country Nature Bulletins. To search, go to the Natuere Bulletin's Search Engine and type in your topic. You can also use your browser's "FIND" command to search the 750+ article titles here for a specific subject! Fish Smother Under Ice Coyotes in Cook County Tough Times for the Muskrats Wild Geese and Ducks Fly North Squirrels Spring Frogs Snapping Turtles A Phenomenal Spring Good People Do Not Pick Wildflowers Fire is the Enemy of Field and Forest Crows Earthworms Bees Crayfish Floods Handaxes and Knives in the Forest Preserves Ant Sanctuary Conservation Mosquitoes More About Mosquitoes Fishing in the Forest Preserve Our River Grasshoppers Chiggers Ticks Poison Ivy Fireflies

423

COST AND QUALITY TABLES 95  

Gasoline and Diesel Fuel Update (EIA)

5 Tables 5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts The annual publication Cost and Quality of Fuels for Electric Utility Plants (C&Q) will no longer be pub- lished by the EIA. The tables presented in this docu- ment are intended to replace that annual publication. Questions regarding the availability of these data should be directed to: Coal and Electric Data and Renewables Division

424

MTS Table Top Load frame  

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

MTS Table Top Load frame MTS Table Top Load frame The Non-destructive Evaluation group operates an MTS Table Top Load frame for ultimate strength and life cycle testing of various ceramic, ceramic-matrix (FGI), carbon, carbon fiber, cermet (CMC) and metal alloy engineering samples. The load frame is a servo-hydraulic type designed to function in a closed loop configuration under computer control. The system can perform non-cyclic, tension, compression and flexure testing and cyclic fatigue tests. The system is comprised of two parts: * The Load Frame and * The Control System. Load Frame The Load Frame (figure 1) is a cross-head assembly which includes a single moving grip, a stationary grip and LVDT position sensor. It can generate up to 25 kN (5.5 kip) of force in the sample under test and can

425

Table of Contents Home ...................................................................................................... 2  

E-Print Network (OSTI)

/Graduate Programs . . . 44 Chemical Engineering . . . . . . . . . . . . . . . . . . . . . . 47 Chemistry fields related to uthe discovery and recovery of the Earth's resources, utheir conversion to materials the academic culture upon which all learning is founded. CSM offers the bachelor of science degree in Chemical

426

Energy Information Administration (EIA) - Supplement Tables  

Gasoline and Diesel Fuel Update (EIA)

6 6 1 to 116 Complete set of Supplemental Tables Complete set of Supplemental Tables. Need help, please contact the National Energy Information Center at 202-586-8800. Regional Energy Consumption and Prices by Sector Energy Consumption by Sector Table 1. New England Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 2. Middle Atlantic Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 3. East North Central Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 4. West North Central

427

CBECS 1992 - Building Characteristics, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Percent of Buildings and Floorspace by Census Region, 1992 Percent of Buildings and Floorspace by Census Region, 1992 The following 70 tables present extensive cross-tabulations of commercial buildings characteristics. These data are from the Buildings Characteristics Survey portion of the 1992 CBECS. The "Quick-Reference Guide," indicates the major topics of each table. Directions for calculating an approximate relative standard error (RSE) for each estimate in the tables are presented in Figure A1, "Use of RSE Row and Column Factor." The Glossary contains the definitions of the terms used in the tables. See the preceding "At A Glance" section for highlights of the detailed tables. Table Organization

428

KT Monograph Section B Table  

E-Print Network (OSTI)

traced#7;#7; Table B1:1 - Summary of a selection of previous surface surveys and collections in the Near East #12; Slopes of Tepe#7;Top of Tepe#7;Clustered#7;#7;Percentage Diagnostics#7;Small Stones - esp. NW & E#7;Late Roman/Byz. Sherds#7;#7;Trefoil Rims... #7;Terra Sigillata - esp. S & SW#7;Stone Artefacts#7;#7;Red Hittite Wares#7;Hellenistic Sherds#7;Architectural Fragments#7;#7;Total Sherds#7;#7;Large Stones#7;#7;Early Bronze Age#7;#7;#7;#7;Decorated Sherds#7;#7;#7;#7;Feature Sherds#7;#7;#7;#7; Table...

Thomas, D C

2004-12-09T23:59:59.000Z

429

Catalytic Conversion of Bioethanol to Hydrocarbons ...  

Conventional biomass to hydrocarbon conversion is generally not commercially feasible, due to costs of the conversion process.

430

Basis of conversion factors for energy equivalents  

Science Conference Proceedings (OSTI)

... Basis of conversion factors for energy equivalents Conversion factors for energy equivalents are derived from the following relations: ...

431

Conversion factors for energy equivalents: All factors  

Science Conference Proceedings (OSTI)

... Conversion factors for energy equivalents Return to online conversions. Next page of energy equivalents. Definition of uncertainty ...

432

Automatic Table Ground Truth Generation and a Background-Analysis-Based Table Structure Extraction  

E-Print Network (OSTI)

In this paper, we first describe an automatic table ground truth generation system which can efficiently generate a large amount of accurate table ground truth suitable for the development of table detection algorithms. Then a novel background-analysis-based, coarse-to-fine table identification algorithm and an X-Y cut table decomposition algorithm are described. We discuss an experimental protocol to evaluate the table detection algorithms. For a total of having vin table entities and a total cell entities, our table detection algorithm takes line, word segmentation results as input and obtains around cell correct detection rates.

Yalin Wang; Ihsin T. Phillips; Robert Haralick

2001-01-01T23:59:59.000Z

433

Random Table and Its Ground Truth Automatic Generation: A Tool for Table  

E-Print Network (OSTI)

We developed a software tool to assist table understanding research. It can analyze any given table ground truth and generate documents that include similar table elements while have more variety on both table and non-table parts. Based on our novel content matching ground truthing idea, the table ground truth data for the generated table elements become available with little manual work. The validity of the proposed strategy was confirmed by our table detection algorithm development. We made this software package publicly available.

Understanding Research Yalin; Yalin Wang

2001-01-01T23:59:59.000Z

434

Power conversion technologies  

DOE Green Energy (OSTI)

The Power Conversion Technologies thrust area identifies and sponsors development activities that enhance the capabilities of engineering at Lawrence Livermore National Laboratory (LLNL) in the area of solid- state power electronics. Our primary objective is to be a resource to existing and emerging LLNL programs that require advanced solid-state power electronic technologies.. Our focus is on developing and integrating technologies that will significantly impact the capability, size, cost, and reliability of future power electronic systems. During FY-96, we concentrated our research efforts on the areas of (1) Micropower Impulse Radar (MIR); (2) novel solid-state opening switches; (3) advanced modulator technology for accelerators; (4) compact accelerators; and (5) compact pulse generators.

Newton, M. A.

1997-02-01T23:59:59.000Z

435

Quantum optical waveform conversion  

E-Print Network (OSTI)

Currently proposed architectures for long-distance quantum communication rely on networks of quantum processors connected by optical communications channels [1,2]. The key resource for such networks is the entanglement of matter-based quantum systems with quantum optical fields for information transmission. The optical interaction bandwidth of these material systems is a tiny fraction of that available for optical communication, and the temporal shape of the quantum optical output pulse is often poorly suited for long-distance transmission. Here we demonstrate that nonlinear mixing of a quantum light pulse with a spectrally tailored classical field can compress the quantum pulse by more than a factor of 100 and flexibly reshape its temporal waveform, while preserving all quantum properties, including entanglement. Waveform conversion can be used with heralded arrays of quantum light emitters to enable quantum communication at the full data rate of optical telecommunications.

Kielpinski, D; Wiseman, HM

2010-01-01T23:59:59.000Z

436

Overcoming the l1 non-embeddability barrier: algorithms for product metrics  

Science Conference Proceedings (OSTI)

A common approach for solving computational problems over a difficult metric space is to embed the "hard" metric into L1 which admits efficient algorithms and is thus considered an "easy" metric. This approach has proved successful ...

Alexandr Andoni; Piotr Indyk; Robert Krauthgamer

2009-01-01T23:59:59.000Z

437

Evaluating N-gram based evaluation metrics for automatic keyphrase extraction  

Science Conference Proceedings (OSTI)

This paper describes a feasibility study of n-gram-based evaluation metrics for automatic keyphrase extraction. To account for near-misses currently ignored by standard evaluation metrics, we adapt various evaluation metrics developed for machine ...

Su Nam Kim; Timothy Baldwin; Min-Yen Kan

2010-08-01T23:59:59.000Z

438

Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions  

SciTech Connect

This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in data centers. This guide is primarily intended for personnel who have responsibility for managing energy use in existing data centers - including facilities managers, energy managers, and their engineering consultants. Additionally, data center designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior data center benchmarking studies supported by the California Energy Commission. Much of the benchmarking data are drawn from the LBNL data center benchmarking database that was developed from these studies. Additional benchmark data were obtained from engineering experts including facility designers and energy managers. This guide also builds on recent research supported by the U.S. Department of Energy's Save Energy Now program.

Mathew, Paul; Ganguly, Srirupa; Greenberg, Steve; Sartor, Dale

2009-07-13T23:59:59.000Z

439

Tables of Chemicals and Etchants  

Science Conference Proceedings (OSTI)

Table 3   Designation of Etchants...p 255. (b) L.E. Samuels, J. Inst. Met., Vol 83, 1954â??1955, p 359. (c) S.A. Manion and T.O. Mulhearn, Metallography, Vol 4, 1971, p 551...

440

Table Of Contents Section: Page  

E-Print Network (OSTI)

....................................................................15-6 15.E Rigging Hardware....................................................15-15 Tables: 15 the immediate work area and properly stored and maintained in a safe condition. 15.A.02 Hoist rope shall.04 When hoisting loads, a positive latching device shall be used to secure the load and rigging (e

US Army Corps of Engineers

Note: This page contains sample records for the topic "metric conversions table" 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

Trip Table ?????? #ejdyrki-#ejebnjj  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /5e8f0a852f9c1d454b6df13f1365e4ef/e684451614f1683226855e2b90e1249c.html ... Top page #ejdyrki:?XNHx/Baass #ejdzgey:?maO8DRy4pM #ejdzuzo ...

442

Trip Table ?????? #UFOYMAA-#UFPBHZB  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /7faa9d44500591fbfecedcda9a9d9cf9/72b75372a04495579b32da4524a88ead.html ... Top page #UFOYMAA:?760XFpqqAg #UFOZAUQ:?GiyoPAoyp. #UFOZPPG ...

443

Trip Table ?????? #gopmusbo-#gopmxoap  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /de823d5fcb90885762f4a837a7fa1e4c/8ef5e7522a1014862421869a133710f6.html ... Top page #gopmusbo:?MyJIL5jza2 #gopmvgwe:?AGL/5xDjfA #gopmvvqu ...

444

Trip Table ?????? #PNQTORG-#PNQWKQH  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /57be3958616c440476cf50b429b2476e/a2758b2d3ccf7339fa919b48ba7c1570.html ... Top page #PNQTORG:?oGcbIPIQ/2 #PNQUDLW:?QPKgjR/j7k #PNQUSGM ...

445

Microsoft Word - table_23.doc  

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

6 Table 23. Average citygate price of natural gas in the United States, 2007- 2011 (dollars per thousand cubic feet) Alabama 8.78 9.84 7.61 6.46 5.80 Alaska 6.75 6.74 8.22 6.67...

446

Wideband Wavelength Conversion Using Cavity ...  

Science Conference Proceedings (OSTI)

... The researchers use the interaction of two ... bands that are frequently used in telecommunications. ... conversion should be possible using the same ...

2013-08-27T23:59:59.000Z

447

Advanced Coal Conversion Process Demonstration  

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

Clean Coal Technology Program Advanced Coal Conversion Process Demonstration A DOE Assessment DOENETL-20051217 U.S. Department of Energy Office of Fossil Energy National Energy...

448

Energy Basics: Biofuel Conversion Processes  

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

from the EERE Bioenergy Technologies Office. Thermochemical Conversion Processes Heat energy and chemical catalysts can be used to break down biomass into intermediate compounds...

449

PRIMARY QUANTUM CONVERSION IN PHOTOSYNTHESIS  

E-Print Network (OSTI)

Reactions in,Bacterial Photosynthesis. I, Nature of lightReactions in Bacterial Photosynthesis. 111. Reactions ofQUANTUM CONVERSION IN PHOTOSYNTHESIS Melvin Calvin and G. M.

Calvin, Melvin; Androes, G.M.

1962-01-01T23:59:59.000Z

450

Table H1. Estimated Hydrogen Production by Business Sector Business Sector Annual Hydrogen Production  

E-Print Network (OSTI)

In 2007, roughly 9 million metric tons per year of hydrogen was produced in the U.S. 1 in a variety of ways. This production results in about 60 million metric tons of CO2 emissions each year. Table H1 provides estimates of U.S. hydrogen production for the various business sectors. Merchant hydrogen is consumed at sites other than where it is produced. Captive hydrogen (e.g., hydrogen produced at oil refineries, ammonia, and methanol plants) is consumed at the site where it is produced. This technical support document assumes that CO2 emissions associated with captive hydrogen production facilities are included as part of the GHG emissions from the industry producing those other chemical products (e.g., ammonia, petroleum products, and methanol), and therefore this document is focused on merchant hydrogen production.

unknown authors

2008-01-01T23:59:59.000Z

451

Projected Partner Funding Table: Wind Power | Department of Energy  

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

Projected Partner Funding Table: Wind Power Projected Partner Funding Table: Wind Power This is a table detailing projected partner funding for several wind power projects....

452

Table 11.5a Emissions From Energy Consumption for ...  

U.S. Energy Information Administration (EIA)

1 Metric tons of carbon dioxide can be converted to metric tons of carbon equivalent by multiplying by 12/44. 7 Blast furnace gas, propane gas, and ...

453

Measuring solar reflectance-Part I: Defining a metric that accurately...  

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

I: Defining a metric that accurately predicts solar heat gain Title Measuring solar reflectance-Part I: Defining a metric that accurately predicts solar heat gain Publication Type...

454

Alternative Fuels Data Center: Conversion Regulations  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Conversion Regulations Conversion Regulations to someone by E-mail Share Alternative Fuels Data Center: Conversion Regulations on Facebook Tweet about Alternative Fuels Data Center: Conversion Regulations on Twitter Bookmark Alternative Fuels Data Center: Conversion Regulations on Google Bookmark Alternative Fuels Data Center: Conversion Regulations on Delicious Rank Alternative Fuels Data Center: Conversion Regulations on Digg Find More places to share Alternative Fuels Data Center: Conversion Regulations on AddThis.com... Conversion Regulations All vehicle and engine conversions must meet standards instituted by the U.S. Environmental Protection Agency (EPA), the National Highway Traffic Safety Administration (NHTSA), and state agencies like the California Air Resources Board (CARB).

455

Portsmouth DUF6 Conversion Final EIS - Volume 2: Comment and Response Document: Chapter 2: Comment Documents  

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

Portsmouth DUF Portsmouth DUF 6 Conversion Final EIS 2 COMMENT DOCUMENTS This section provides copies of the actual letters or other documents containing public comments on the draft EISs that were submitted to DOE, including comments extracted from the transcripts of the public hearings. Table 2.1 contains an index of the comment documents by document number. Table 2.2 provides an index of comment documents by the commentors last name. Table 2.3 contains an index of comment documents by company or organization. Individual comments are denoted with vertical lines in the right margin. TABLE 2.1 Index of Commentors by Document Number Document Number Name Company/Organization Page D0001 Driver, Charles M. Individual 2-5 D0002 Kilrod, John Individual 2-7 D0003 Colley, Vina Portsmouth/Piketon Residents for Environmental Safety and Security

456

November/December 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform November/December table of contents. November/December 2012 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor la

457

Table Name query? | OpenEI Community  

Open Energy Info (EERE)

Table Name query? Home > Groups > Databus Is there an API feature which returns the names of tables? Submitted by Hopcroft on 28 October, 2013 - 15:37 1 answer Points: 0 if you are...

458

Solar Cell Efficiency Tables (Version 39)  

Science Conference Proceedings (OSTI)

Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since July 2011 are reviewed.

Green, M. A.; Emery, K.; Hishikawa, Y.; Warta, W.; Dunlop, E. D.

2012-01-01T23:59:59.000Z

459

A System for Tabled Constraint Logic Programming  

Science Conference Proceedings (OSTI)

As extensions to traditional logic programming, both tabling and Constraint Logic Programming (CLP) have proven powerful tools in many areas. They make logic programming more efficient and more declarative. However, combining the techniques of tabling ...

Baoqiu Cui; David Scott Warren

2000-07-01T23:59:59.000Z

460

Analytical Division Seed Oil Translation Table  

Science Conference Proceedings (OSTI)

seed oil translation table nomencalture Analytical Division Seed Oil Translation Table Analytical Chemistry Analytical Chemistry aocs articles atomic)FluorometryDifferential scanning calorimetry chemistry Chromatography (liquid detergents esters fats fo

Note: This page contains sample records for the topic "metric conversions table" 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

Biomass for Electricity Generation - Table 9  

U.S. Energy Information Administration (EIA)

Modeling and Analysis Papers> Biomass for Electricity Generation : Biomass for Electricity Generation. Table 9. Biomass-Fired Electricity Generation ...

462

Biomass for Electricity Generation - Table 3  

U.S. Energy Information Administration (EIA)

Modeling and Analysis Papers> Biomass for Electricity Generation : Biomass for Electricity Generation. Table 3. Biomass Resources by Price: Quantities ...

463

November/December 2011 Table of Contents  

Science Conference Proceedings (OSTI)

November/December 2011 Table of Contents Inform Magazine Inform Archives News 602     Letter from the president 603     Letter from

464

MEDICAL IMAGE CONVERSION Peter Stanchev  

E-Print Network (OSTI)

MEDICAL IMAGE CONVERSION Peter Stanchev Institute of Mathematics, Bulgarian Academy of Sciences with the problem of converting medical images from one format to another. In solving it the structure of the most commonly used medical image formats are studied and analysed. A mechanism for medical image file conversion

Stanchev, Peter

465

Visualization components for persistent conversations  

Science Conference Proceedings (OSTI)

An appropriately designed interface to persistent, threaded conversations could reinforce socially beneficial behavior by prominently featuring how frequently and to what degree each user exhibits such behaviors. Based on the data generated by the Netscan ... Keywords: Usenet, asynchronous threaded discussions, newsgroup, persistent conversation, social cyberspaces, visualization

Marc A. Smith; Andrew T. Fiore

2001-03-01T23:59:59.000Z

466

Alcohol fuel conversion apparatus  

Science Conference Proceedings (OSTI)

This patent describes an alcohol fuel conversion apparatus for internal combustion engines comprising: fuel storage means for containing an alcohol fuel; primary heat exchange means in fluid communication with the fuel storage means for transferring heat to pressurized alcohol contained within the heat exchange means; a heat source for heating the primary heat exchange means; pressure relief valve means in closed fluid communication with the primary heat exchange means for releasing heated pressurized alcohol into an expansion chamber; converter means including the expansion chamber in fluid communication with the pressure relief valve means for receiving the heated pressurized alcohol and for the vaporization of the alcohol; fuel injection means in fluid communication with the converter means for injecting vaporized alcohol into the cylinders of an internal combustion engine for mixing with air within the cylinders for proper combustion; and pump means for pressurized pumping of alcohol from the 23 fuel storage means to the primary heat exchanger means, converter means, fuel injector means, and to the engine.

Carroll, B.I.

1987-12-08T23:59:59.000Z

467

Table 1. 2010 Summary Statistics  

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

Indiana" Indiana" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",27638,13 " Electric Utilities",23008,8 " Independent Power Producers & Combined Heat and Power",4630,23 "Net Generation (megawatthours)",125180739,11 " Electric Utilities",107852560,5 " Independent Power Producers & Combined Heat and Power",17328179,20 "Emissions (thousand metric tons)" " Sulfur Dioxide",385,4 " Nitrogen Oxide",120,4 " Carbon Dioxide",116283,5 " Sulfur Dioxide (lbs/MWh)",6.8,4 " Nitrogen Oxide (lbs/MWh)",2.1,12 " Carbon Dioxide (lbs/MWh)",2048,4

468

Table 1. 2010 Summary Statistics  

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

Jersey" Jersey" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Nuclear" "Net Summer Capacity (megawatts)",18424,22 " Electric Utilities",460,43 " Independent Power Producers & Combined Heat and Power",17964,6 "Net Generation (megawatthours)",65682494,23 " Electric Utilities",-186385,50 " Independent Power Producers & Combined Heat and Power",65868878,6 "Emissions (thousand metric tons)" " Sulfur Dioxide",14,40 " Nitrogen Oxide",15,41 " Carbon Dioxide",19160,37 " Sulfur Dioxide (lbs/MWh)",0.5,45 " Nitrogen Oxide (lbs/MWh)",0.5,48 " Carbon Dioxide (lbs/MWh)",643,43

469

Table 1. 2010 Summary Statistics  

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

Arizona" Arizona" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",26392,15 " Electric Utilities",20115,14 " Independent Power Producers & Combined Heat and Power",6277,16 "Net Generation (megawatthours)",111750957,12 " Electric Utilities",91232664,11 " Independent Power Producers & Combined Heat and Power",20518293,17 "Emissions (thousand metric tons)" " Sulfur Dioxide",33,33 " Nitrogen Oxide",57,17 " Carbon Dioxide",55683,15 " Sulfur Dioxide (lbs/MWh)",0.7,43 " Nitrogen Oxide (lbs/MWh)",1.1,31 " Carbon Dioxide (lbs/MWh)",1099,35

470

Table 1. 2010 Summary Statistics  

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

Louisiana" Louisiana" "NERC Region(s)",,"SERC/SPP" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",26744,14 " Electric Utilities",16471,17 " Independent Power Producers & Combined Heat and Power",10272,10 "Net Generation (megawatthours)",102884940,16 " Electric Utilities",51680682,19 " Independent Power Producers & Combined Heat and Power",51204258,8 "Emissions (thousand metric tons)" " Sulfur Dioxide",126,15 " Nitrogen Oxide",75,11 " Carbon Dioxide",58706,14 " Sulfur Dioxide (lbs/MWh)",2.7,21 " Nitrogen Oxide (lbs/MWh)",1.6,21 " Carbon Dioxide (lbs/MWh)",1258,27

471

Table 1. 2010 Summary Statistics  

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

Carolina" Carolina" "NERC Region(s)",,"SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",27674,12 " Electric Utilities",25553,6 " Independent Power Producers & Combined Heat and Power",2121,34 "Net Generation (megawatthours)",128678483,10 " Electric Utilities",121251138,3 " Independent Power Producers & Combined Heat and Power",7427345,34 "Emissions (thousand metric tons)" " Sulfur Dioxide",131,14 " Nitrogen Oxide",57,16 " Carbon Dioxide",73241,13 " Sulfur Dioxide (lbs/MWh)",2.2,31 " Nitrogen Oxide (lbs/MWh)",1,34 " Carbon Dioxide (lbs/MWh)",1255,28

472

Table 1. 2010 Summary Statistics  

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

Idaho" Idaho" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Hydroelectric" "Net Summer Capacity (megawatts)",3990,44 " Electric Utilities",3035,36 " Independent Power Producers & Combined Heat and Power",955,42 "Net Generation (megawatthours)",12024564,44 " Electric Utilities",8589208,37 " Independent Power Producers & Combined Heat and Power",3435356,40 "Emissions (thousand metric tons)" " Sulfur Dioxide",7,45 " Nitrogen Oxide",4,48 " Carbon Dioxide",1213,49 " Sulfur Dioxide (lbs/MWh)",1.2,39 " Nitrogen Oxide (lbs/MWh)",0.8,43 " Carbon Dioxide (lbs/MWh)",222,50

473

Table 1. 2010 Summary Statistics  

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

Nebraska" Nebraska" "NERC Region(s)",,"MRO/SPP" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",7857,38 " Electric Utilities",7647,30 " Independent Power Producers & Combined Heat and Power",210,50 "Net Generation (megawatthours)",36630006,36 " Electric Utilities",36242921,30 " Independent Power Producers & Combined Heat and Power",387085,50 "Emissions (thousand metric tons)" " Sulfur Dioxide",65,24 " Nitrogen Oxide",40,30 " Carbon Dioxide",24461,34 " Sulfur Dioxide (lbs/MWh)",3.9,12 " Nitrogen Oxide (lbs/MWh)",2.4,9 " Carbon Dioxide (lbs/MWh)",1472,19

474

Table 1. 2010 Summary Statistics  

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

Kansas" Kansas" "NERC Region(s)",,"MRO/SPP" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",12543,32 " Electric Utilities",11732,20 " Independent Power Producers & Combined Heat and Power",812,45 "Net Generation (megawatthours)",47923762,32 " Electric Utilities",45270047,24 " Independent Power Producers & Combined Heat and Power",2653716,44 "Emissions (thousand metric tons)" " Sulfur Dioxide",41,30 " Nitrogen Oxide",46,26 " Carbon Dioxide",36321,26 " Sulfur Dioxide (lbs/MWh)",1.9,33 " Nitrogen Oxide (lbs/MWh)",2.1,13 " Carbon Dioxide (lbs/MWh)",1671,14

475

Table 1. 2010 Summary Statistics  

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

Oregon" Oregon" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Hydroelectric" "Net Summer Capacity (megawatts)",14261,29 " Electric Utilities",10846,27 " Independent Power Producers & Combined Heat and Power",3415,28 "Net Generation (megawatthours)",55126999,27 " Electric Utilities",41142684,26 " Independent Power Producers & Combined Heat and Power",13984316,26 "Emissions (thousand metric tons)" " Sulfur Dioxide",16,37 " Nitrogen Oxide",15,42 " Carbon Dioxide",10094,40 " Sulfur Dioxide (lbs/MWh)",0.6,44 " Nitrogen Oxide (lbs/MWh)",0.6,47 " Carbon Dioxide (lbs/MWh)",404,48

476

Table 1. 2010 Summary Statistics  

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

Michigan" Michigan" "NERC Region(s)",,"MRO/RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",29831,11 " Electric Utilities",21639,10 " Independent Power Producers & Combined Heat and Power",8192,14 "Net Generation (megawatthours)",111551371,13 " Electric Utilities",89666874,13 " Independent Power Producers & Combined Heat and Power",21884497,16 "Emissions (thousand metric tons)" " Sulfur Dioxide",254,6 " Nitrogen Oxide",89,6 " Carbon Dioxide",74480,11 " Sulfur Dioxide (lbs/MWh)",5,8 " Nitrogen Oxide (lbs/MWh)",1.8,19 " Carbon Dioxide (lbs/MWh)",1472,20

477

Table 1. 2010 Summary Statistics  

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

Missouri" Missouri" "NERC Region(s)",,"SERC/SPP" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",21739,18 " Electric Utilities",20360,12 " Independent Power Producers & Combined Heat and Power",1378,39 "Net Generation (megawatthours)",92312989,18 " Electric Utilities",90176805,12 " Independent Power Producers & Combined Heat and Power",2136184,46 "Emissions (thousand metric tons)" " Sulfur Dioxide",233,8 " Nitrogen Oxide",56,18 " Carbon Dioxide",78815,10 " Sulfur Dioxide (lbs/MWh)",5.6,6 " Nitrogen Oxide (lbs/MWh)",1.3,26 " Carbon Dioxide (lbs/MWh)",1882,7

478

Table 1. 2010 Summary Statistics  

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

Nevada" Nevada" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",11421,34 " Electric Utilities",8713,29 " Independent Power Producers & Combined Heat and Power",2708,33 "Net Generation (megawatthours)",35146248,38 " Electric Utilities",23710917,34 " Independent Power Producers & Combined Heat and Power",11435331,29 "Emissions (thousand metric tons)" " Sulfur Dioxide",7,44 " Nitrogen Oxide",15,40 " Carbon Dioxide",17020,38 " Sulfur Dioxide (lbs/MWh)",0.4,46 " Nitrogen Oxide (lbs/MWh)",1,37 " Carbon Dioxide (lbs/MWh)",1068,37 "Total Retail Sales (megawatthours)",33772595,33

479

Table 1. 2010 Summary Statistics  

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

Georgia" Georgia" "NERC Region(s)",,"SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",36636,7 " Electric Utilities",26639,3 " Independent Power Producers & Combined Heat and Power",9998,11 "Net Generation (megawatthours)",137576941,8 " Electric Utilities",120425913,4 " Independent Power Producers & Combined Heat and Power",17151028,21 "Emissions (thousand metric tons)" " Sulfur Dioxide",265,5 " Nitrogen Oxide",79,10 " Carbon Dioxide",82592,8 " Sulfur Dioxide (lbs/MWh)",4.2,10 " Nitrogen Oxide (lbs/MWh)",1.3,28 " Carbon Dioxide (lbs/MWh)",1324,25

480

Table 1. 2010 Summary Statistics  

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

Tennessee" Tennessee" "NERC Region(s)",,"RFC/SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",21417,19 " Electric Utilities",20968,11 " Independent Power Producers & Combined Heat and Power",450,49 "Net Generation (megawatthours)",82348625,19 " Electric Utilities",79816049,15 " Independent Power Producers & Combined Heat and Power",2532576,45 "Emissions (thousand metric tons)" " Sulfur Dioxide",138,13 " Nitrogen Oxide",33,31 " Carbon Dioxide",48196,18 " Sulfur Dioxide (lbs/MWh)",3.7,14 " Nitrogen Oxide (lbs/MWh)",0.9,40 " Carbon Dioxide (lbs/MWh)",1290,26

Note: This page contains sample records for the topic "metric conversions table" 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

Table 1. 2010 Summary Statistics  

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

Dakota" Dakota" "NERC Region(s)",,"MRO/WECC" "Primary Energy Source",,"Hydroelectric" "Net Summer Capacity (megawatts)",3623,45 " Electric Utilities",2994,37 " Independent Power Producers & Combined Heat and Power",629,48 "Net Generation (megawatthours)",10049636,46 " Electric Utilities",8682448,36 " Independent Power Producers & Combined Heat and Power",1367188,47 "Emissions (thousand metric tons)" " Sulfur Dioxide",12,43 " Nitrogen Oxide",12,43 " Carbon Dioxide",3611,47 " Sulfur Dioxide (lbs/MWh)",2.6,23 " Nitrogen Oxide (lbs/MWh)",2.6,8 " Carbon Dioxide (lbs/MWh)",792,41

482

Table 1. 2010 Summary Statistics  

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

Texas" Texas" "NERC Region(s)",,"SERC/SPP/TRE/WECC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",108258,1 " Electric Utilities",26533,4 " Independent Power Producers & Combined Heat and Power",81724,1 "Net Generation (megawatthours)",411695046,1 " Electric Utilities",95099161,9 " Independent Power Producers & Combined Heat and Power",316595885,1 "Emissions (thousand metric tons)" " Sulfur Dioxide",430,2 " Nitrogen Oxide",204,1 " Carbon Dioxide",251409,1 " Sulfur Dioxide (lbs/MWh)",2.3,28 " Nitrogen Oxide (lbs/MWh)",1.1,32 " Carbon Dioxide (lbs/MWh)",1346,22

483

Table 1. 2010 Summary Statistics  

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

Wyoming" Wyoming" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",7986,37 " Electric Utilities",6931,31 " Independent Power Producers & Combined Heat and Power",1056,41 "Net Generation (megawatthours)",48119254,31 " Electric Utilities",44738543,25 " Independent Power Producers & Combined Heat and Power",3380711,42 "Emissions (thousand metric tons)" " Sulfur Dioxide",67,23 " Nitrogen Oxide",61,15 " Carbon Dioxide",45703,21 " Sulfur Dioxide (lbs/MWh)",3.1,19 " Nitrogen Oxide (lbs/MWh)",2.8,7 " Carbon Dioxide (lbs/MWh)",2094,2

484

Table 1. 2010 Summary Statistics  

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

Wisconsin" Wisconsin" "NERC Region(s)",,"MRO/RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",17836,23 " Electric Utilities",13098,19 " Independent Power Producers & Combined Heat and Power",4738,20 "Net Generation (megawatthours)",64314067,24 " Electric Utilities",45579970,22 " Independent Power Producers & Combined Heat and Power",18734097,18 "Emissions (thousand metric tons)" " Sulfur Dioxide",145,12 " Nitrogen Oxide",49,25 " Carbon Dioxide",47238,19 " Sulfur Dioxide (lbs/MWh)",5,9 " Nitrogen Oxide (lbs/MWh)",1.7,20 " Carbon Dioxide (lbs/MWh)",1619,16

485

Table 1. 2010 Summary Statistics  

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

Iowa" Iowa" "NERC Region(s)",,"MRO/SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",14592,28 " Electric Utilities",11282,24 " Independent Power Producers & Combined Heat and Power",3310,30 "Net Generation (megawatthours)",57508721,26 " Electric Utilities",46188988,21 " Independent Power Producers & Combined Heat and Power",11319733,30 "Emissions (thousand metric tons)" " Sulfur Dioxide",108,18 " Nitrogen Oxide",50,22 " Carbon Dioxide",47211,20 " Sulfur Dioxide (lbs/MWh)",4.1,11 " Nitrogen Oxide (lbs/MWh)",1.9,14 " Carbon Dioxide (lbs/MWh)",1810,10

486

Table 1. 2010 Summary Statistics  

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

Florida" Florida" "NERC Region(s)",,"FRCC/SERC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",59147,3 " Electric Utilities",50853,1 " Independent Power Producers & Combined Heat and Power",8294,13 "Net Generation (megawatthours)",229095935,3 " Electric Utilities",206062185,1 " Independent Power Producers & Combined Heat and Power",23033750,15 "Emissions (thousand metric tons)" " Sulfur Dioxide",160,11 " Nitrogen Oxide",101,5 " Carbon Dioxide",123811,2 " Sulfur Dioxide (lbs/MWh)",1.5,37 " Nitrogen Oxide (lbs/MWh)",1,35 " Carbon Dioxide (lbs/MWh)",1191,31

487

Table 1. 2010 Summary Statistics  

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

Massachusetts" Massachusetts" "NERC Region(s)",,"NPCC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",13697,31 " Electric Utilities",937,42 " Independent Power Producers & Combined Heat and Power",12760,8 "Net Generation (megawatthours)",42804824,34 " Electric Utilities",802906,43 " Independent Power Producers & Combined Heat and Power",42001918,10 "Emissions (thousand metric tons)" " Sulfur Dioxide",35,31 " Nitrogen Oxide",17,38 " Carbon Dioxide",20291,36 " Sulfur Dioxide (lbs/MWh)",1.8,34 " Nitrogen Oxide (lbs/MWh)",0.9,39 " Carbon Dioxide (lbs/MWh)",1045,38

488

Table 1. 2010 Summary Statistics  

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

Hampshire" Hampshire" "NERC Region(s)",,"NPCC" "Primary Energy Source",,"Nuclear" "Net Summer Capacity (megawatts)",4180,43 " Electric Utilities",1132,41 " Independent Power Producers & Combined Heat and Power",3048,32 "Net Generation (megawatthours)",22195912,42 " Electric Utilities",3979333,41 " Independent Power Producers & Combined Heat and Power",18216579,19 "Emissions (thousand metric tons)" " Sulfur Dioxide",34,32 " Nitrogen Oxide",6,46 " Carbon Dioxide",5551,43 " Sulfur Dioxide (lbs/MWh)",3.4,17 " Nitrogen Oxide (lbs/MWh)",0.6,46 " Carbon Dioxide (lbs/MWh)",551,47

489

Table 1. 2010 Summary Statistics  

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

Alabama" Alabama" "NERC Region(s)",,"SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",32417,9 " Electric Utilities",23642,7 " Independent Power Producers & Combined Heat and Power",8775,12 "Net Generation (megawatthours)",152150512,6 " Electric Utilities",122766490,2 " Independent Power Producers & Combined Heat and Power",29384022,12 "Emissions (thousand metric tons)" " Sulfur Dioxide",218,10 " Nitrogen Oxide",66,14 " Carbon Dioxide",79375,9 " Sulfur Dioxide (lbs/MWh)",3.2,18 " Nitrogen Oxide (lbs/MWh)",1,36 " Carbon Dioxide (lbs/MWh)",1150,33

490

Table 1. 2010 Summary Statistics  

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

Minnesota" Minnesota" "NERC Region(s)",,"MRO" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",14715,27 " Electric Utilities",11547,22 " Independent Power Producers & Combined Heat and Power",3168,31 "Net Generation (megawatthours)",53670227,29 " Electric Utilities",45428599,23 " Independent Power Producers & Combined Heat and Power",8241628,32 "Emissions (thousand metric tons)" " Sulfur Dioxide",57,27 " Nitrogen Oxide",44,27 " Carbon Dioxide",32946,29 " Sulfur Dioxide (lbs/MWh)",2.3,27 " Nitrogen Oxide (lbs/MWh)",1.8,18 " Carbon Dioxide (lbs/MWh)",1353,21

491

Table 1. 2010 Summary Statistics  

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

West Virginia" West Virginia" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",16495,24 " Electric Utilities",11719,21 " Independent Power Producers & Combined Heat and Power",4775,19 "Net Generation (megawatthours)",80788947,20 " Electric Utilities",56719755,18 " Independent Power Producers & Combined Heat and Power",24069192,13 "Emissions (thousand metric tons)" " Sulfur Dioxide",105,20 " Nitrogen Oxide",49,23 " Carbon Dioxide",74283,12 " Sulfur Dioxide (lbs/MWh)",2.9,20 " Nitrogen Oxide (lbs/MWh)",1.3,25 " Carbon Dioxide (lbs/MWh)",2027,5

492

Table 1. 2010 Summary Statistics  

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

District of Columbia" District of Columbia" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Petroleum" "Net Summer Capacity (megawatts)",790,51 " Independent Power Producers & Combined Heat and Power",790,46 "Net Generation (megawatthours)",199858,51 " Independent Power Producers & Combined Heat and Power",199858,51 "Emissions (thousand metric tons)" " Sulfur Dioxide",1,49 " Nitrogen Oxide","*",51 " Carbon Dioxide",191,50 " Sulfur Dioxide (lbs/MWh)",8.8,2 " Nitrogen Oxide (lbs/MWh)",4,3 " Carbon Dioxide (lbs/MWh)",2104,1 "Total Retail Sales (megawatthours)",11876995,43 " Full Service Provider Sales (megawatthours)",3388490,50

493

Table 1. 2010 Summary Statistics  

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

Hawaii" Hawaii" "NERC Region(s)",,"--" "Primary Energy Source",,"Petroleum" "Net Summer Capacity (megawatts)",2536,47 " Electric Utilities",1828,40 " Independent Power Producers & Combined Heat and Power",708,47 "Net Generation (megawatthours)",10836036,45 " Electric Utilities",6416068,38 " Independent Power Producers & Combined Heat and Power",4419968,38 "Emissions (thousand metric tons)" " Sulfur Dioxide",17,36 " Nitrogen Oxide",21,36 " Carbon Dioxide",8287,42 " Sulfur Dioxide (lbs/MWh)",3.4,16 " Nitrogen Oxide (lbs/MWh)",4.3,2 " Carbon Dioxide (lbs/MWh)",1686,13

494

Table 1. 2010 Summary Statistics  

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

Kentucky" Kentucky" "NERC Region(s)",,"RFC/SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",20453,21 " Electric Utilities",18945,16 " Independent Power Producers & Combined Heat and Power",1507,38 "Net Generation (megawatthours)",98217658,17 " Electric Utilities",97472144,7 " Independent Power Producers & Combined Heat and Power",745514,48 "Emissions (thousand metric tons)" " Sulfur Dioxide",249,7 " Nitrogen Oxide",85,7 " Carbon Dioxide",93160,7 " Sulfur Dioxide (lbs/MWh)",5.6,5 " Nitrogen Oxide (lbs/MWh)",1.9,15 " Carbon Dioxide (lbs/MWh)",2091,3

495

Table 1. 2010 Summary Statistics  

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

Oklahoma" Oklahoma" "NERC Region(s)",,"SPP" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",21022,20 " Electric Utilities",16015,18 " Independent Power Producers & Combined Heat and Power",5006,17 "Net Generation (megawatthours)",72250733,22 " Electric Utilities",57421195,17 " Independent Power Producers & Combined Heat and Power",14829538,24 "Emissions (thousand metric tons)" " Sulfur Dioxide",85,21 " Nitrogen Oxide",71,12 " Carbon Dioxide",49536,17 " Sulfur Dioxide (lbs/MWh)",2.6,24 " Nitrogen Oxide (lbs/MWh)",2.2,11 " Carbon Dioxide (lbs/MWh)",1512,17

496

Table 1. 2010 Summary Statistics  

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

Delaware" Delaware" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",3389,46 " Electric Utilities",55,48 " Independent Power Producers & Combined Heat and Power",3334,29 "Net Generation (megawatthours)",5627645,50 " Electric Utilities",30059,46 " Independent Power Producers & Combined Heat and Power",5597586,36 "Emissions (thousand metric tons)" " Sulfur Dioxide",13,41 " Nitrogen Oxide",5,47 " Carbon Dioxide",4187,45 " Sulfur Dioxide (lbs/MWh)",5.2,7 " Nitrogen Oxide (lbs/MWh)",1.9,16 " Carbon Dioxide (lbs/MWh)",1640,15 "Total Retail Sales (megawatthours)",11605932,44

497

Table 1. 2010 Summary Statistics  

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

Mexico" Mexico" "NERC Region(s)",,"SPP/WECC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",8130,36 " Electric Utilities",6345,33 " Independent Power Producers & Combined Heat and Power",1785,36 "Net Generation (megawatthours)",36251542,37 " Electric Utilities",30848406,33 " Independent Power Producers & Combined Heat and Power",5403136,37 "Emissions (thousand metric tons)" " Sulfur Dioxide",15,38 " Nitrogen Oxide",56,19 " Carbon Dioxide",29379,31 " Sulfur Dioxide (lbs/MWh)",0.9,42 " Nitrogen Oxide (lbs/MWh)",3.4,5 " Carbon Dioxide (lbs/MWh)",1787,11

498

Table 1. 2010 Summary Statistics  

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

Illinois" Illinois" "NERC Region(s)",,"MRO/RFC/SERC" "Primary Energy Source",,"Nuclear" "Net Summer Capacity (megawatts)",44127,5 " Electric Utilities",4800,35 " Independent Power Producers & Combined Heat and Power",39327,3 "Net Generation (megawatthours)",201351872,5 " Electric Utilities",12418332,35 " Independent Power Producers & Combined Heat and Power",188933540,3 "Emissions (thousand metric tons)" " Sulfur Dioxide",232,9 " Nitrogen Oxide",83,8 " Carbon Dioxide",103128,6 " Sulfur Dioxide (lbs/MWh)",2.5,25 " Nitrogen Oxide (lbs/MWh)",0.9,38 " Carbon Dioxide (lbs/MWh)",1129,34

499

Table 1. 2010 Summary Statistics  

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

Rhode Island" Rhode Island" "NERC Region(s)",,"NPCC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",1782,49 " Electric Utilities",7,50 " Independent Power Producers & Combined Heat and Power",1775,37 "Net Generation (megawatthours)",7738719,47 " Electric Utilities",10827,47 " Independent Power Producers & Combined Heat and Power",7727892,33 "Emissions (thousand metric tons)" " Sulfur Dioxide","*",50 " Nitrogen Oxide",3,49 " Carbon Dioxide",3217,48 " Sulfur Dioxide (lbs/MWh)","*",50 " Nitrogen Oxide (lbs/MWh)",0.8,42 " Carbon Dioxide (lbs/MWh)",916,39

500

Table 1. 2010 Summary Statistics  

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

Alaska" Alaska" "NERC Region(s)",,"--" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",2067,48 " Electric Utilities",1889,39 " Independent Power Producers & Combined Heat and Power",178,51 "Net Generation (megawatthours)",6759576,48 " Electric Utilities",6205050,40 " Independent Power Producers & Combined Heat and Power",554526,49 "Emissions (thousand metric tons)" " Sulfur Dioxide",3,46 " Nitrogen Oxide",16,39 " Carbon Dioxide",4125,46 " Sulfur Dioxide (lbs/MWh)",1,41 " Nitrogen Oxide (lbs/MWh)",5.2,1 " Carbon Dioxide (lbs/MWh)",1345,23 "Total Retail Sales (megawatthours)",6247038,50