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1

Figure legends supplemental figures Supplemental figure 1.  

E-Print Network (OSTI)

; Kruskal-Wallis-test). Supplemental figure 3. (a) Survival of GFAPcre+/VHL+f/+f /VEGF+f/+f mice (n=19

Kleinfeld, David

2

Figure S.1  

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

2- Figures and Table 2.1 2- Figures and Table 2.1 Figure S.1 Figure 1.1 Figure 1.2 Figure 1.3 Figure 2.1 Figure 2.2 Figure 2.3 Figure 3.1 Figure 3.2 Figure 3.3 Figure 3.4 Figure 3.5 Figure 3.6 Figure 3.7 Figure 3.8 Figure 3.9 Figure 3.10 Figure 3.11 Figure 3.12 Figure 3.13 Figure 3.14 Figure 3.15 Figure 3.16 Figure 3.17 Figure 3.18 Figure 3.19 Figure 4.1 Figure 4.2 Figure 4.3 Figure 4.4 Figure 4.5 Figure 4.6 Figure 4.7 Figure 4.8 Figure 4.9 Figure 4.10 Figure 4.11 Figure 4.12 Figure 4.13 Figure 4.14 Figure 4.15 Figure 4.16 Figure 4.17 Figure 4.18 Figure 4.19 J.1 Lewiston Stage Contents Relationship (NOT AVAILABLE IN ELECTRONIC FORMAT) J.2 Keswick Stage Contents Relationship (NOT AVAILABLE IN ELECTRONIC FORMAT) J.3 Natoma Stage Contents Relationship (NOT AVAILABLE IN ELECTRONIC

3

Biaxial Interference Figures  

Science Journals Connector (OSTI)

Biaxial interference figures are similar to uniaxial figures but show more variety in the shape and movement of isogyres. Biaxial figures often contain only a single isogyre, which is not always parallel to a ...

Richard E. Stoiber; Stearns A. Morse

1994-01-01T23:59:59.000Z

4

MECS Fuel Oil Figures  

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

: Percentage of Total Purchased Fuels by Type of Fuel : Percentage of Total Purchased Fuels by Type of Fuel Figure 1. Percent of Total Purchased Fuel Sources: Energy Information Administration. Office of Energy Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures (ASM): Statistics for Industry Groups and Industries: Statistical Abstract of the United States. Note: The years below the line on the "X" Axis are interpolated data--not directly from the Manufacturing Energy Consumption Survey or the Annual Survey of Manufactures. Figure 2: Changes in the Ratios of Distillate Fuel Oil to Natural Gas Figure 2. Changes in the Ratios of Distillate Fuel Oil to Natural Gas Sources: Energy Information Administration. Office of

5

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

,833 ,833 35 Egypt Figure 13. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2009 (Million Cubic Feet) Norway Trinidad/ Tobago Trinidad/ Tobago Egypt Interstate Movements Not Shown on Map From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 111,144 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Canada Canada i i N g e r a Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates

6

Microsoft Word - figure_14.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 14. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2010 (Million Cubic Feet) Norway India Trinidad/ Tobago Egypt Yemen Japan Interstate Movements Not Shown on Map From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 53,122 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Canada Canada Gulf of Mexico Canada Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates based on historical data. Energy Information

7

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 13. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2008 (Million Cubic Feet) Norway Trinidad/ Tobago Interstate Movements Not Shown on Map From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 45,772 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Canada Canada i i N g e r a Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates.

8

Short-Term Energy Outlook Figures  

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

Independent Statistics & Analysis" Independent Statistics & Analysis" ,"U.S. Energy Information Administration" ,"Short-Term Energy Outlook Figures, December 2013" ,"U.S. Prices" ,,"West Texas Intermediate (WTI) Crude Oil Price" ,,"U.S. Gasoline and Crude Oil Prices" ,,"U.S. Diesel Fuel and Crude Oil Prices" ,,"Henry Hub Natural Gas Price" ,,"U.S. Natural Gas Prices" ,"World Liquid Fuels" ,,"World Liquid Fuels Production and Consumption Balance" ,,"Estimated Unplanned Crude Oil Production Outages Among OPEC Producers" ,,"Estimated Unplanned Crude Oil Production Disruptions Among non-OPEC Producers" ,,"World Liquid Fuels Consumption" ,,"World Liquid Fuels Consumption Growth"

9

PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS  

E-Print Network (OSTI)

EQUATIONS 17 FIGURE 1. DRILL STRING ROUND TRIP 19 FIGURE 2. STANDARD ROTARY CORING (RCB) WIRELINE TRIP 21) WIRELINE TRIP 25 FIGURE 5. ESTIMATED RIGGING, WIRELINE, AND SCANNING TIME FOR REENTRY. 27 #12;Preliminary

10

The synthesis of sound figures  

Science Journals Connector (OSTI)

In this paper we discuss a novel technique to control the spatial distribution of sound level within a synthesized sound field. The problem is formulated by separating the sound field into regions with high acoustic level, so-called bright regions, and ... Keywords: Multichannel sound reproduction, Quiet zones, Sound field synthesis, Sound figures

Karim Helwani; Sascha Spors; Herbert Buchner

2014-04-01T23:59:59.000Z

11

EIS-0268-Figures-1997.pdf  

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

DOFJ'EIS-0268 DOFJ'EIS-0268 - PKw.2F Figure 4-L L-Lake and environs. 4-3 -- =----- 90 --m--- -m- EAST o (C.nti""ed O"figure 4.4b) AA 320 1 300 1 Fourmile Indian Grave Upland Pen Branch Brench Formation Branch 280 ~ 280 240 : E -220 ~ L 200 180 I 160 140 1 I I 1 2 3 4 5 Miles Legend: _ _ Inferredcontact Note:TO converito kilometersmultiply by 1.609 to convetito metersmultiply by0.304e Figure 4-4a. Generalized geologic cross section from Fourmile Branch to L DO~IS-0268 I t" 1 I I t 4-8 DOE/EIS-0268 I 4-60 I t t i I I DOE/EIS-0268 ,. ,. 4-61 DOE/EIS-0268 ,. ,,.':, .. ,.. , 4-62 I 1 I I I DOE/EIS-0268 4-63 DOEI'EIS-0268 ., . . 4-64 I I 1 B I I I m 1 I I I I 1 I I I m I DOE~IS-0268 4-65 DO~IS-0268 Radon in homes: 200 millirem per year Notes me major contributor to the annual average individual dose in the United StaIeS, [ncluti"g residents of the Central Savannah River Area, is naturally occuning radiation

12

Accuracy  

Gasoline and Diesel Fuel Update (EIA)

8 8 from initial estimates to final values. These data were presented in a series of PD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and WFR were the first values available. Figure FE1 illustrates the improving signs of accuracy from the weekly estimates to the interim monthly values to the final petroleum supply values. The monthly-from-weekly (MFW) data are the least accurate but "good." The PSM data are more accurate or "better" and the PSA data are the most accurate or "best." Although the comparison of 1998 MFW and PSM values to PSA values shows 1998 initial and interim data to be less accurate than 1997, these results may be a combination of less accurate initial and interim reporting and an outstanding

13

Accuracy  

Gasoline and Diesel Fuel Update (EIA)

a a progression of the accuracy of the 1999 data from good, to better, to best, for initial estimates to final values. These data were presented in a series of PD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and WFR were the first values available. Figure FE1 illustrates the progress in the accuracy from the weekly estimates to the interim monthly values to the final petroleum supply values. The monthly-from-weekly (MFW) data are the least accurate but "good." The PSM data are more accurate or "better" and the PSA data are the most accurate or "best." Although the comparison of 1999 MFW and PSM values to PSA values shows 1999 initial and interim data to be less accurate than 1998, these results may be a combination

14

Microsoft Word - figure_20.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 0 2 4 6 8 10 12 14 16 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 Sources: Nominal dollars: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Constant dollars: Prices were converted to 2005 dollars using the chain-type price indexes for Gross Domestic Product (2005 = 1.0) as published by the U.S. Department of Commerce, Bureau of Economic Analysis. dollars per thousand cubic feet base year Figure 21. Average price of natural gas delivered to residential consumers, 1980-2011 nominal dollars

15

Microsoft Word - figure_15.doc  

Gasoline and Diesel Fuel Update (EIA)

38 38 0 2 4 6 8 10 2002 2003 2004 2005 2006 Trillion Cubic Feet 0 50 100 150 200 250 Billion Cubic Meters Residential Commercial Industrial Electric Power Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-906, "Power Plant Report." Figure 15. Natural Gas Delivered to Consumers in the United States, 2002-2006 Cautionary Note: Number of Residential and Commercial Consumers The Energy Information Administration (EIA) expects that there may be some double counting in the number of residential and commercial customers reported for 2002 through 2006. EIA collects information on the number of residential and commercial consumers through a survey of companies that deliver gas

16

Microsoft Word - figure_18.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2 4 6 8 10 12 14 2001 2002 2003 2004 2005 Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 360 400 440 Dollars per Thousand Cubic Meters Residential Commercial Industrial Electric Power Vehicle Fuel Figure 18. Average Price of Natural Gas Delivered to Consumers in the United States, 2001-2005 Note: Coverage for prices varies by consumer sector. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Federal Energy Regulatory Commission (FERC), Form FERC-423, "Monthly Report of Cost and Quality of Fuels for

17

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 13. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2007 (Million Cubic Feet) Nigeria Algeria 37,483 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Algeria Canada Canada i i N g e r a Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and the Office of Fossil Energy, Natural Gas Imports and Exports.

18

Microsoft Word - figure_15.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2 4 6 8 10 2003 2004 2005 2006 2007 Trillion Cubic Feet 0 50 100 150 200 250 Billion Cubic Meters Residential Commercial Industrial Electric Power Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-906, "Power Plant Report"; Form EIA-920, "Combined Heat and Power Plant Report"; and Form EIA-923, "Power Plant Operations Report." Figure 15. Natural Gas Delivered to Consumers in the United States, 2003-2007 Cautionary Note: Number of Residential and Commercial Consumers The Energy Information Administration (EIA) expects that there may be some double counting in the number of residential and commercial customers reported for 2003 through 2007.

19

PHOBOS Experiment: Figures and Data  

DOE Data Explorer (OSTI)

PHOBOS consists of many silicon detectors surrounding the interaction region. With these detectors physicists can count the total number of produced particles and study the angular distributions of all the products. Physicists know from other branches of physics that a characteristic of phase transitions are fluctuations in physical observables. With the PHOBOS array they look for unusual events or fluctuations in the number of particles and angular distribution. The articles that have appeared in refereed science journals are listed here with separate links to the supporting data plots, figures, and tables of numeric data. See also supporting data for articles in technical journals at http://www.phobos.bnl.gov/Publications/Technical/phobos_technical_publications.htm and from conference proceedings at http://www.phobos.bnl.gov/Publications/Proceedings/phobos_proceedings_publications.htm

The PHOBOS Collaboration

20

Microsoft Word - figure_15.doc  

Gasoline and Diesel Fuel Update (EIA)

38 38 0 2 4 6 8 10 2001 2002 2003 2004 2005 Trillion Cubic Feet 0 50 100 150 200 250 Billion Cubic Meters Residential Commercial Industrial Electric Power Figure 15. Natural Gas Delivered to Consumers in the United States, 2001-2005 Sources: Energy Information Administration (EIA), Form EIA -176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-906, "Power Plant Report." Cautionary Note: Number of Residential and Commercial Consumers The Energy Information Administration (EIA) expects that there may be some double counting in the number of residential and commercial customers reported for 2001 through 2005. EIA collects information on the number of residential and commercial consumers through a survey of companies that deliver gas

Note: This page contains sample records for the topic "mfw estimates figures" 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

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 2. Natural Gas Supply and Disposition in the United States, 2010 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 26.8 0.8 0.2 3.4 3.280 0.190 0.042 0.333 0.739 0.033 21.3 1.1 3.3 3.3 2.0 3.1 6.5 0.03 7.4 0.073 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

22

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 2. Natural Gas Supply and Disposition in the United States, 2009 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 26.0 0.7 0.2 3.5 3.271 0.236 0.013 0.338 0.701 0.031 20.6 1.0 3.4 3.0 1.9 3.1 6.2 0.03 6.9 0.160 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

23

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Algeria Figure 2. Natural Gas Supply and Disposition in the United States, 2007 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 24.6 0.6 0.2 3.8 3.783 0.448 0.077 0.095 0.292 0.482 0.047 19.1 0.9 3.2 3.4 1.8 3.0 6.6 0.03 6.8 0.115 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895A, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

24

Microsoft Word - figure_17.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 C ommercial All O ther States W isconsin Minnesota Pennsylvania Michigan O hio N ew Jersey Texas California N ew York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Residential Indiana G eorgia N ew Jersey Pennsylvania Texas O hio Michigan Illinois California All O ther States N ew York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Figure 17. Natural Gas Delivered to Consumers in the United States, 2010 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet E lectric P ower 7,387,184 34% Industrial 6,517,477 30% C om m ercial 3,101,675 14% R esidential 4,787,320 22% Industrial All O ther States Minnesota Iowa Pennsylvania O klahoma Illinois O hio Indiana Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 E lectric Power All O ther States Arizona Mississippi Louisiana Alabama

25

Microsoft Word - figure_16.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Commercial All Other States Wisconsin Minnesota Pennsylvania Texas Ohio New Jersey Michigan California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Residential Wisconsin Indiana Texas New Jersey Pennsylvania Ohio Michigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Figure 16. Natural Gas Delivered to Consumers in the United States, 2008 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Electric Pow er 6,668,379 31% Industrial 6,650,276 31% Commercial 3,135,852 15% Residential 4,872,107 23% Industrial All Other States Georgia Iow a Oklahom a Pennsylvania Illinois Indiana Ohio Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Electric Power All Other States Mississippi New Jersey Louisiana

26

Microsoft Word - figure_17.doc  

Gasoline and Diesel Fuel Update (EIA)

3 3 Commercial All Other States Wisconsin M innesota Pennsylvania Ohio M ichigan Texas New Jersey California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Residential Colorado Indiana Texas New Jersey Pennsylvania Ohio M ichigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Figure 18. Natural gas delivered to consumers in the United States, 2011 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Residential 4,713,695 21% Commercial 3,153,605 14% Industrial 6,904,843 31% Electric Power 7,573,863 34% Industrial All Other States M innesota Iowa Oklahoma Pennsylvania Ohio Illinois Indiana Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Electric Power

27

Microsoft Word - figure_16.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Commercial All Other States Wisconsin Minnesota Pennsylvania Ohio Texas Michigan New Jersey California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Residential Wisconsin Indiana Texas New Jersey Pennsylvania Ohio Michigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Figure 16. Natural Gas Delivered to Consumers in the United States, 2007 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Electric Pow er 6,841,408 33% Industrial 6,624,846 31% Commercial 3,017,105 14% Residential 4,717,311 22% Industrial All Other States Georgia Oklahom a Michigan Pennsylvania Illinois Indiana Ohio Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Electric Power All Other States Alabam a

28

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 2. Natural Gas Supply and Disposition in the United States, 20088 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 25.8 0.7 0.2 3.6 3.589 0.267 0.012 0.365 0.590 0.050 20.3 1.0 3.4 3.4 1.9 3.1 6.7 0.03 6.7 0.055 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

29

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Egypt Algeria Figure 2. Natural Gas Supply and Disposition in the United States, 2006 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 23.5 0.7 0.1 3.3 3.590 0.389 0.017 0.057 0.322 0.341 0.061 18.5 0.9 3.0 2.5 1.7 4.4 2.8 6.5 0.02 6.2 0.120 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895A, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Form EIA-816, "Monthly Natural Gas Liquids

30

Microsoft Word - figure_16.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Commercial All Other States Wisconsin Minnesota Pennsylvania Ohio Michigan Texas New Jersey California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Residential Minnesota Indiana Texas New Jersey Pennsylvania Ohio Michigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Figure 16. Natural Gas Delivered to Consumers in the United States, 2009 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Electric Pow er 6,872,049 33% Industrial 6,167,193 29% Commercial 3,118,833 15% Residential 4,778,478 23% Industrial All Other States Georgia Iow a Pennsylvania Oklahom a Ohio Illinois Indiana Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Electric Power All Other States Nevada Pennsylvania Alabam a Arizona

31

Microsoft Word - Figure_15_2014.docx  

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

Source: Energy Information Administration (EIA), Form EIA-191M, "Monthly Underground Gas Storage Report." U.S. Energy Information Administration | Natural Gas Annual Figure 15....

32

Toto the Robot Figure 1. Toto, front view. Figure 2. Toto, rear view.  

E-Print Network (OSTI)

Toto the Robot Figure 1. Toto, front view. Figure 2. Toto, rear view. Toto the Robot was created so in the back to allow the tape- recorder to be held inside, and the figure was spray-painted. With his metallic a robot, helps account for his lack of verbal charm. Second, some younger children may recognize in Toto

Indiana University

33

Microsoft Word - Figure_03_04.doc  

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

8 8 0 2 4 6 8 10 12 14 16 18 20 22 2010 2011 2012 2013 2014 Residential Commercial Industrial Electric Power Citygate dollars per thousand cubic feet Figure 3 and 4 0 2 4 6 8 10 12 14 16 18 20 22 2010 2011 2012 2013 2014 NGPL Composite Spot Price NG Spot Price at Henry Hub dollars per thousand c ubic feet Note: Prices are in nominal dollars. Source: Table 3. Figure 3. Average citygate and consumer prices of natural gas in the United States, 2010-2013 Figure 4. Spot prices of natural gas and natural gas plant liquids in the United States, 2010-2013

34

RELEVANT SPECTROSCOPIC DATA Figure A.1: 1  

E-Print Network (OSTI)

, 25°C, 499.85 MHz) of 1iPr Figure A.12: 1 H NMR Spectrum (C6D6, 70°C, 499.85 MHz) of 1iPr Figure A.13: 13 C{1 H} NMR Spectrum (C6D6, 25°C, 125.70 MHz) of 1iPr #12;228 Figure A.14: 31 P{1 H} NMR Spectrum (C6D6, 25°C, 121.48 MHz) of 1iPr #12;229 Figure A.15: 1 H-13 C HSQC NMR Spectrum (C6D6, 25°C, 499

Winfree, Erik

35

EIS-0023-FEIS-Figures-1979.pdf  

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

NORTM NORTM CAROLINA 2 -- r /'- 3Charlo,te Gree,v:; I, o s. \ '~ ( % SOUTH CAROLINA ".4 o " .Alkenoco'"mb'a A1l.a,to \ August. ( SRP O Macon \ GEORGIA ? Charleston 50 MI ".* / 100 Ml 150 Mi 1 \ ATLANTIC OCEAN Sov.nn.h / FIGURE III-1. Location of SRP Relative to Surrounding Population Centers III-2 --- - FIGURE III-2. The Savannah River Plant III-3 FIGURE 'III-3. Profile of Geologic Formation Beneath the Savannah River Plant . III-5 ,-, -,.. . . . . . 5 .-- -612 CRYSTALLINE ROCK . II rfoce FIGURE III-4. Hydrostatic Head in Ground Water Near H Area III-8 ~'z 'Kw ) -.- ________ Alu EN F PLATEAU ";<--'-----% \ ~//i.s,t,,7 --- I '220--- Heed in Tuscaloosa ft H20 obove me.. $,0 level - 5 0 5 10 ,5 MILES FIGURE III-5. Flow in Tuscaloosa Aquifer (Ongoing hydrographic measurements indicate that this flow pattern has remained the same under the SRP site since the early 1950' s.) 111-10 . FIGURE

36

Figure legends Figure 1: Normalized radiance spectra of the different experimental color  

E-Print Network (OSTI)

treatment groups. The fluorescent (red) line represents the narrow rearing treatment. The 5500K (green) and 10000K (blue) lines represent the two bulb types used. #12;Figure S4: Behavioral predictive model performance for the broad-spectrum

Carleton, Karen L.

37

Microsoft Word - Figure_14_15.doc  

Gasoline and Diesel Fuel Update (EIA)

44 0 2 4 6 8 10 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 Dollars per Thousand Cubic Meters Constant Dollars Nominal Dollars Figure 14. Average Price of Natural Gas Delivered to Residential Consumers, 1980-2002 Figure 15. Average City Gate Price of Natural Gas in the United States, 2002 (Dollars per Thousand Cubic Feet) Sources: Nominal dollars: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Constant dollars: Prices were converted to 2002 dollars using the chain-type price indexes for Gross Domestic Product (1996 = 1.0) as published by the U.S. Department of Commerce, Bureau of Economic Analysis.

38

Microsoft Word - Figure_18_19.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK MD 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK Figure 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 2004 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Power Consumers, 2004 (Dollars per Thousand Cubic Feet) Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Note: States where the electric power price has been withheld (see Table 23) are included in the $0.00-$2.49 price category.

39

Microsoft Word - Figure_14_15.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DC NC SC GA AL MS LA FL HI AK DE 0 2 4 6 8 10 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 360 Dollars per Thousand Cubic Meters Constant Dollars Nominal Dollars Figure 14. Average Price of Natural Gas Delivered to Residential Consumers, 1980-2004 Figure 15. Average City Gate Price of Natural Gas in the United States, 2004 (Dollars per Thousand Cubic Feet) Sources: Nominal dollars: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Constant dollars: Prices were converted to 2004 dollars using the chain-type price indexes for Gross Domestic Product

40

Finding Six-Figure ROI From Energy Efficiency | Department of Energy  

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

Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency September 28, 2010 - 10:20am Addthis Kevin Craft What are the key facts? Recovery Act funded energy efficiency lighting upgrades in Huntington, New York. Street lighting accounts for 40% of town's electric costs. Huntington estimates $151,000 in annual savings through lighting changes. Return-on-investment -- that is the phrase town officials in Huntington, New York, carefully considered before commissioning several projects to improve municipal energy efficiency. "Saving town residents money on energy bills is one way to help stimulate the local economy. So we looked for projects that would save our residents as much money as possible," said Huntington Supervisor Frank Petrone.

Note: This page contains sample records for the topic "mfw estimates figures" 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

Finding Six-Figure ROI From Energy Efficiency | Department of Energy  

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

Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency September 28, 2010 - 10:20am Addthis Kevin Craft What are the key facts? Recovery Act funded energy efficiency lighting upgrades in Huntington, New York. Street lighting accounts for 40% of town's electric costs. Huntington estimates $151,000 in annual savings through lighting changes. Return-on-investment -- that is the phrase town officials in Huntington, New York, carefully considered before commissioning several projects to improve municipal energy efficiency. "Saving town residents money on energy bills is one way to help stimulate the local economy. So we looked for projects that would save our residents as much money as possible," said Huntington Supervisor Frank Petrone.

42

Microsoft Word - Figure_3_4.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001-and over WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK GOM 0 1 2 3 4 5 6 7 T e x a s G u l f o f M e x i c o N e w M e x i c o O k l a h o m a W y o m i n g L o u i s i a n a C o l o r a d o A l a s k a K a n s a s A l a b a m a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 180 Billion Cubic Meters 2002 2003 2002 Figure 4. Marketed Production of Natural Gas in Selected States and the Gulf of Mexico, 2002-2003 Figure 3. Marketed Production of Natural Gas in the United States and the Gulf of Mexico, 2003 (Million Cubic Feet) GOM = Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-895, "Monthly and Annual Quantity and Value of Natural Gas Report," and the United States Mineral Management

43

Microsoft Word - Figure_3_4.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 0 1 2 3 4 5 6 7 T e x a s G u l f o f M e x i c o O k l a h o m a N e w M e x i c o W y o m i n g L o u i s i a n a C o l o r a d o A l a s k a K a n s a s C a l i f o r n i a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 180 Billion Cubic Meters 2003 2004 2003 Figure 4. Marketed Production of Natural Gas in Selected States and the Gulf of Mexico, 2003-2004 GOM = Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA -895, "Monthly Quantity and Value of Natural Gas Report," and the United States Mineral Management Service. Sources: Energy Information Administration (EIA), Form EIA -895, "Monthly Quantity and Value of Natural Gas Report," and the United States Mineral Management Service. None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001-and over

44

Figure 3-11 South Table Mountain Utilities Map  

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

FTLB AMMO LEGEND Gas Existing Buildings Electrical Figure 3-11 South Table Mountain Utilities Map Sewer Communication Water Surface Drainage Storm Water WATER TANK FACILITIES...

45

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The  

E-Print Network (OSTI)

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The percentage of each array dataset that were predicted endo-siRNA targets according to the Ambros dataset (Lee et al. 2006) was plotted [(number of endo-siRNA targets in microarray dataset / total genes

Bass, Brenda L.

46

Microsoft Word - figure_06_07.doc  

Gasoline and Diesel Fuel Update (EIA)

16.0 16.4 13.0 11.7 11.0 0 2 4 6 8 10 12 14 16 18 20 22 2006 2007 2008 2009 2010 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-64A, "Annual Report of the Origin of Natural Gas Liquids Production"; Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-906, "Power Plant Report"; Form EIA-920, "Combined Heat and Power Plant Report"; Form EIA-923, "Power Plant Operations Report"; Form EIA-886, "Annual Survey of Alternative Fueled Vehicles"; State agencies; and EIA estimates based

47

Microsoft Word - figure_06_07.doc  

Gasoline and Diesel Fuel Update (EIA)

16.4 16.0 16.4 13.0 11.7 0 2 4 6 8 10 12 14 16 18 20 22 2005 2006 2007 2008 2009 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-64A, "Annual Report of the Origin of Natural Gas Liquids Production"; Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-906, "Power Plant Report"; Form EIA-920, "Combined Heat and Power Plant Report"; Form EIA-923, "Power Plant Operations Report"; Form EIA-886, "Annual Survey of Alternative Fueled Vehicles"; State agencies; and EIA estimates based

48

Microsoft Word - figure_06_07.doc  

Gasoline and Diesel Fuel Update (EIA)

14.7 15.2 16.4 16.0 16.4 0 2 4 6 8 10 12 14 16 18 20 2003 2004 2005 2006 2007 Percent Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-64A, "Annual Report of the Origin of Natural Gas Liquids Production"; Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports; Form EIA-895A, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-906, "Power Plant Report"; Form EIA-920, "Combined Heat and Power Plant Report"; Form EIA-923, "Power Plant Operations Report"; Form EIA-886, "Annual Survey of Alternative Fueled Vehicle Suppliers and Users"; and EIA estimates.

49

Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations  

E-Print Network (OSTI)

4. Figure 5-5. 1993 Electricity Consumption Estimates by EndkWh/ft ) 1993 Electricity Consumption Estimates by End Useof Total) 1993 Electricity Consumption Estimates by End Use

Konopacki, S.J.

2010-01-01T23:59:59.000Z

50

Stuttering as Reflected in Adults Self-Figure Drawings  

Science Journals Connector (OSTI)

This pilot study aimed to detect indicators within self-figure drawings that reflect stuttering in adults. A sample of 20 adults who stutter from childhood were given a blank sheet...n...= 20). Indicators include...

Rachel Lev-Wiesel; Ayala Shabat; Ayala Tsur

2005-03-01T23:59:59.000Z

51

Figure ES2. Annual Indices of Real Disposable Income, Vehicle...  

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

ES2 Figure ES2. Annual Indices of Real Disposable Income, Vehicle-Miles Traveled, Consumer Price Index (CPI-U), and Real Average Retail Gasoline Price, 1978-2004, 1985100...

52

Ion beam figuring of small optical components Thomas W. Drueding  

E-Print Network (OSTI)

Ion beam figuring of small optical components Thomas W. Drueding Boston University College of Engineering Aerospace and Mechanical Engineering Department Boston, Massachusetts 02215 Steven C. Fawcett Albuquerque, New Mexico 87107 Thomas G. Bifano Boston University College of Engineering Aerospace

53

Correctness of depiction in planar diagrams of spatial figures  

E-Print Network (OSTI)

We show that it is possible to decide whether a given planar diagram correctly depicts the spatial figure consisting of a planar quadrangle together with its shadow in another plane.

P. L. Robinson

2014-03-12T23:59:59.000Z

54

History of mirror casting, figuring, segmentation and active optics  

Science Journals Connector (OSTI)

The accurate general figures for the mirrors with which one could achieve the optimum ... the beginning of the twentieth century by Karl Schwarzschild. A first design for a reflecting telescope ... dispersing len...

Lothar Noethe

2009-08-01T23:59:59.000Z

55

Supplementary Figure 1 SHAPE-MaP data analysis pipeline.  

E-Print Network (OSTI)

Supplementary Figure 1 SHAPE-MaP data analysis pipeline. Outline of software pipeline that fully.1 GHz Intel Core i7 and 16 GB RAM). This strategy is implemented in the SHAPE-MaP Folding Pipeline

Cai, Long

56

Figure 7.1. Control of an alarm system. Figure 7.2. A simple memory element.  

E-Print Network (OSTI)

-digit BCD counter. Enable Q0 Q1 Q2 D0 D1 D2 Load Clock 1 0 0 0 Clock Q30 D3 Enable Q0 Q1 Q2 D0 D1 D2 Load Clock 0 0 0 Q30 D3 BCD0 BCD1 Clear Figure 7.30. Johnson counter. D Q Q Clock D Q Q D Q Q Q0 Q1 Qn 1 by CAD tools. Data Clock Latch #12;Figure 7.34. Timing simulation of storage elements. Figure 7.35. Code

Kalla, Priyank

57

A simple figure of merit for high temperature superconducting switches  

SciTech Connect

The discovery of the new high temperature superconductors has revived interest in many special applications, including superconducting switches. For comparison of switch types, a simple figure of merit based in switch performance is proposed, derived for superconducting switches, and then calculated for thyristors and vacuum switches. The figure of merit is then used to show what critical current density would be needed for superconducting switches to compete with more conventional switches. 46 refs., 1 fig.

Honig, E.M.

1989-01-01T23:59:59.000Z

58

Muon Figures: 2001/04/19 Chris Waltham  

E-Print Network (OSTI)

Muon Figures: 2001/04/19 Chris Waltham Hanging Wall 65 Looking o o ~25 S of W Fault Line r=2730 r) and replaced with back#12;ll. The grid is 1000' (#25;300m) square. p Muon Track Light from Muon Xf PSUP Impact Parameter at time Tf Muon leaves PSUP V h Cherenkov Cone Figure 3: Fitting Diagram 2 #12; ) (degrees) fit v

Learned, John

59

Distributed Linear Combination Estimators for Localization Based on Received Signal Strength  

E-Print Network (OSTI)

.8 Estimation under Unknown Propagation Model Parameters . . . . . . 55 2.8.1 Estimation of p0(d0) and np . . . . . . . . . . . . . . . . . . . 55 2.8.2 Estimation of p0(d0), np, and ? . . . . . . . . . . . . . . . . . 58 2.8.3 Location Estimation using... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 vii LIST OF FIGURES FIGURE Page 2.1 Range dependence of RMSE of various estimators with np = 3 and ? = 5...

Chen, Wei-Yu

2013-12-05T23:59:59.000Z

60

Estimating Methods  

Directives, Delegations, and Requirements

Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

1997-03-28T23:59:59.000Z

Note: This page contains sample records for the topic "mfw estimates figures" 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

BILIWG: Consistent "Figures of Merit" (Presentation)  

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

BILIWG: Consistent "Figures of Merit" BILIWG: Consistent "Figures of Merit" A finite set of results reported in consistent units * To track progress of individual projects on a consistent basis * To enable comparing projects in a transparent manner Potential BILIWG Figures of Merit Key BILI Distributed Reforming Targets * Cost ($/kg of H2): H2A analysis - Distributed reforming station,1000 kg/day ave./daily dispensed, 5000/6250 psi (and 10,000/12,000 psi) dispensing, 500 units/yr. * nth unit vs. 500 units/yr ? * production unit only (with 300 psi outlet pressure) ? * Production unit efficiency: LHV H2 out/(LHV of feedstocks and all other energy in) GTG - WTG efficiency? - Feedstock conversion energy efficiency? * Production unit capital cost: Distributed reforming station,1000 kg/day ave./daily dispensed, 300 psi outlet pressure

62

Figure 7.8 shows the cross-sections so recovered for the connection of the SHGC of Figure 6.8.b and the termination of the SHGC of Figure 6.8.d.  

E-Print Network (OSTI)

30 Figure 7.8 shows the cross-sections so recovered for the connection of the SHGC of Figure 6.8.b and the termination of the SHGC of Figure 6.8.d. For discontinuous connections where there are no limb patches description (see top right SHGC in Figure 7.12.b and c for which discontinuity is caused by self occlusion

Southern California, University of

63

Thermoelectric figure of merit of silicide two-dimensional quantum wells  

SciTech Connect

The calculation was made to estimate thermoelectric figure of merit, ZT, of quantum well structured films made of Transition Metal (TM) silicide, alloys of silicon and germanium, etc. 1-dimensional quantum confinement of charge carrier with quantum well structure were assumed in the calculation model. Transport properties parallel to the layer were estimated as a function of well width. Full account was made of Fermi statistics, and thermal conduction in the barrier layer was taken into account. Results of the calculation indicate that moderate increase in ZT is possible in modulated doping superlattice structure of TM silicides. But ZT decreases with decreasing well width in combinations of silicon and TM silicides. This is due to the larger thermal conductivity of silicon used as a barrier material.

Yamamoto, Z.; Ohta, T. [Electrotechnical Lab., Tsukuba, Ibaraki (Japan)

1996-12-31T23:59:59.000Z

64

Forces on a magnet moving past figure-eight coils  

SciTech Connect

For the first time, the lift, drag, and guidance forces acting on a permanent magnet are measured as the magnet passes over different arrays of figure-eight (null-flux) coils. The experimental results are in good agreement with the predictions of dynamic circuit theory, which is used to explain more optimal coil arrays.

Mulcahy, T.H.; He, Jianliang; Rote, D.M. [Argonne National Lab., IL (United States); Rossing, T.D. [Northern Illinois Univ., De Kalb, IL (United States). Dept. of Physics

1993-03-01T23:59:59.000Z

65

Forces on a magnet moving past figure-eight coils  

SciTech Connect

For the first time, the lift, drag, and guidance forces acting on a permanent magnet are measured as the magnet passes over different arrays of figure-eight (null-flux) coils. The experimental results are in good agreement with the predictions of dynamic circuit theory, which is used to explain more optimal coil arrays.

Mulcahy, T.H.; He, Jianliang; Rote, D.M. (Argonne National Lab., IL (United States)); Rossing, T.D. (Northern Illinois Univ., De Kalb, IL (United States). Dept. of Physics)

1993-01-01T23:59:59.000Z

66

Microsoft Word - figure_07-2014-update.doc  

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

1 Source: Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports. Figure 7. U.S. natural gas trade summary, 2009-2013 0 0.5 1 1.5 2 2.5 3 3.5 4 2009...

67

Figures of the World Healthcare Organisation show that stroke  

E-Print Network (OSTI)

Figures of the World Healthcare Organisation show that stroke is currently the leading cause disabilities following a stroke, the economic burden and shortage of rehabilitation therapists are also developed a robotic exoskeleton system that meets the requirements of effective post-stroke upper

68

THE FIRST LAW OF THERMODYNAMICS35116 FIGURE 3-46  

E-Print Network (OSTI)

lIb THE FIRST LAW OF THERMODYNAMICS3·5116 FIGURE 3-46 Energy cannot be created or destroyed; it can. The first law of thermodynamics, also known as the conservation of energy principle, provides a sound basis observa- tions, the first law of thermodynamics states that energy can be neither created nor destroyed

Kammen, Daniel M.

69

Supplementary Figure 1 Tract trajectory estimates and cortical projection zones for different tractography algorithms.  

E-Print Network (OSTI)

(SLF; purple) and right Arcuate Fasciculus (gold) in a candidate connectome generated using showing the cortical projection zones of the SLF. The color overlay depicts the density of fiber connectome was generated using probabilistic tractography. Right panel, SLF cortical projection zones. Nature

Cai, Long

70

Figure 5. Net radiation of the study area on June 21, 2003 ESTIMATION OF HEAT FLUXES  

E-Print Network (OSTI)

of incoming solar radiation and long-wave radiation emitted from the atmosphere to land surface and from chimneys etc. In addition anthropogenic sensible heat contributes to increased surface temperature. However this influence is sufficiently small compared to the solar radiation under clear skies during

Hall, Sharon J.

71

R:\ventura\psmarticle\Art0410.vp  

Gasoline and Diesel Fuel Update (EIA)

4 4 vii Accuracy of Petroleum Supply Data by Tammy G. Heppner and Carol L. French Overview Petroleum supply data collected by the Petroleum Division (PD) in the Office of Oil and Gas (OOG) of the Energy Information Administration (EIA) showed an improvement in the accuracy of the 2003 data from good, to better, to best, for initial estimates to final values. These data were presented in a series of PD products: the Weekly Petroleum Status Report (WPSR), This Week in Petroleum (TWIP), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and TWIP were the first values available. Figure FE1 illustrates that as reporting and review time passes from the weekly estimates to the interim monthly values to the final petroleum supply values, the EIA is able to serve up more accurate data. For the monthly-from-weekly (MFW) data, respondents have the

72

Accuracy of Petroleum Supply Data  

Gasoline and Diesel Fuel Update (EIA)

Accuracy of Petroleum Supply Data Accuracy of Petroleum Supply Data by Tammy G. Heppner and Carol L. French Overview Petroleum supply data collected by the Petroleum Division (PD) in the Office of Oil and Gas (OOG) of the Energy Information Administration (EIA) showed an improvement in the accuracy of the 2005 data from initial estimates, to interim values, to final values. These data were presented in a series of PD products: the Weekly Petroleum Status Report (WPSR), This Week in Petroleum (TWIP), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and TWIP were the first values available. Figure FE1 illustrates that as reporting and review time passes from the weekly estimates to the interim monthly values to the final petroleum supply values, the EIA is able to produce more accurate petroleum supply data. For the monthly-from-weekly (MFW) data, respondents

73

art0110.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

an an improvement in the accuracy of the 2000 data from good, to better, to best, for initial estimates to final values. These data were presented in a series of PD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and WFR were the first values available. Figure FE1 illustrates that as reporting time increases from the weekly estimates to the interim monthly values to the final petroleum supply values, there is an improvement in the accuracy of the data. For the monthly-from-weekly (MFW) data, respondents have the shortest reporting time, and the data are least accurate but "good." For the PSM data, respondents have a longer reporting time than the weekly, and the data are more accurate or "better." For the PSA data, respondents

74

[FIGURE] FIG 0.0 ELEPHANTS AND ETHICS  

E-Print Network (OSTI)

[FIGURE] FIG 0.0 ELEPHANTS AND ETHICS 1.Wemmer,Elephants and Ethics 2/1/08 2:22 PM Page i #12;1.Wemmer,Elephants and Ethics 2/1/08 2:22 PM Page ii #12;Edited by CHRISTEN WEMMER AND CATHERINE A. CHRISTEN ELEPHANTS AND ETHICS TOWARD A MORALITY OF COEXISTENCE Foreword by John Seidensticker THE JOHNS

Hardin, Rebecca D.

75

Adjoint-Based Implicit Uncertainty Analysis for Figures of Merit in a Laser Inertial Fusion Engine  

SciTech Connect

A primary purpose of computational models is to inform design decisions and, in order to make those decisions reliably, the confidence in the results of such models must be estimated. Monte Carlo neutron transport models are common tools for reactor designers. These types of models contain several sources of uncertainty that propagate onto the model predictions. Two uncertainties worthy of note are (1) experimental and evaluation uncertainties of nuclear data that inform all neutron transport models and (2) statistical counting precision, which all results of a Monte Carlo codes contain. Adjoint-based implicit uncertainty analyses allow for the consideration of any number of uncertain input quantities and their effects upon the confidence of figures of merit with only a handful of forward and adjoint transport calculations. When considering a rich set of uncertain inputs, adjoint-based methods remain hundreds of times more computationally efficient than Direct Monte-Carlo methods. The LIFE (Laser Inertial Fusion Energy) engine is a concept being developed at Lawrence Livermore National Laboratory. Various options exist for the LIFE blanket, depending on the mission of the design. The depleted uranium hybrid LIFE blanket design strives to close the fission fuel cycle without enrichment or reprocessing, while simultaneously achieving high discharge burnups with reduced proliferation concerns. Neutron transport results that are central to the operation of the design are tritium production for fusion fuel, fission of fissile isotopes for energy multiplication, and production of fissile isotopes for sustained power. In previous work, explicit cross-sectional uncertainty analyses were performed for reaction rates related to the figures of merit for the depleted uranium hybrid LIFE blanket. Counting precision was also quantified for both the figures of merit themselves and the cross-sectional uncertainty estimates to gauge the validity of the analysis. All cross-sectional uncertainties were small (0.1-0.8%), bounded counting uncertainties, and were precise with regard to counting precision. Adjoint/importance distributions were generated for the same reaction rates. The current work leverages those adjoint distributions to transition from explicit sensitivities, in which the neutron flux is constrained, to implicit sensitivities, in which the neutron flux responds to input perturbations. This treatment vastly expands the set of data that contribute to uncertainties to produce larger, more physically accurate uncertainty estimates.

Seifried, J E; Fratoni, M; Kramer, K J; Latkowski, J F; Peterson, P F; Powers, J J; Taylor, J M

2010-12-03T23:59:59.000Z

76

Accuracy of Petroleum Supply Data  

Gasoline and Diesel Fuel Update (EIA)

in in the Office of Oil and Gas (OOG) of the Energy Information Administration (EIA) showed an improvement in the accuracy of the 2006 data from initial estimates, to interim values, to final values. These data were presented in a series of PD products: the Weekly Petroleum Status Report (WPSR), This Week in Petroleum (TWIP), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and TWIP were the first values available. Figure FE1 illustrates that just as there was an improvement in gas mileage over time, there was an improvement in petroleum supply data accuracy with increasing review time. For the monthly-from-weekly (MFW) data, respondents have the shortest reporting time, analysts have the shortest review time, and the data are least accurate. For the PSM data, respondents have a longer reporting time than the weekly, analysts have

77

Accuracy  

Gasoline and Diesel Fuel Update (EIA)

7. 7. These data were presented in a series of PD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and WFR were the first values available. Figure FE1 illustrates the improving signs of accuracy from the weekly estimates to the interim monthly values to the final petroleum supply values. The monthly-from-weekly (MFW) data are the least accurate but "good." The PSM data are more accurate or "better" and the PSA data are the most accurate or "best." For 1997, 66 petroleum supply data series were analyzed to determine how close the PSM values were to the final PSA values. For these series, 45 out of the 66 were within 1 percent of the PSA values in terms of mean absolute percent error. Sixty-one petroleum supply data series

78

Accuracy  

Gasoline and Diesel Fuel Update (EIA)

Data Data collected by the Petroleum Supply Division (PSD) of the Energy Information Administration (EIA) provided an accurate picture of petroleum supply in 1996. These data were presented in a series of PSD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and WFR were the first values available. Figure FE1 illustrates the improvement in accuracy from the weekly estimates to the interim monthly values to the final petroleum supply values. The monthly-from-weekly (MFW) data are the least accurate but "good." The PSM data are more accurate or "better" and the PSA data are the most accurate or "best." For 1996, 66 petroleum supply data series were analyzed to determine how close the PSM values were to the final PSA

79

Figure 1: IPA symbols [wikipedia]. Unvoiced Consonants Voiced Consonants Vowels  

E-Print Network (OSTI)

Figure 1: IPA symbols [wikipedia]. Unvoiced Consonants Voiced Consonants Vowels Example Dbet IPA/at H û Example Dbet IPA /th/is D D /b/ee b b /d/og d d /g/ab g g /j/udge J ? /l/ook l l /m/an m m /n/ap n n /r/eal r r plea/s/ure Z Z si/ng/ G N /v/ow v v /w/in w w /y/ou y j /z/oo z z Example Dbet IPA L

Allen, Jont

80

Fermilab E866 (NuSea) Figures and Data Plots  

DOE Data Explorer (OSTI)

The NuSea Experiment at Fermilab studied the internal structure of protons, in particular the difference between up quarks and down quarks. This experiment also addressed at least two other physics questions: nuclear effects on the production of charmonia states (bound states of charm and anti-charm quarks) and energy loss of quarks in nuclei from Drell-Yan measurements on nuclei. While much of the NuSea data are available only to the collaboration, figures, data plots, and tables are presented as stand-alone items for viewing or download. They are listed in conjunction with the published papers, theses, or presentations in which they first appeared. The date range is 1998 to 2008. To see these figures and plots, click on E866 publications or go directly to http://p25ext.lanl.gov/e866/papers/papers.html. Theses are at http://p25ext.lanl.gov/e866/papers/e866theses/e866theses.html and the presentations are found at http://p25ext.lanl.gov/e866/papers/e866talks/e866talks.html. Many of the items are postscript files.

E866 NuSea Collaboration

Note: This page contains sample records for the topic "mfw estimates figures" from the National Library of EnergyBeta (NLEBeta).
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81

Figure 1. Rapidly wilting black walnut in the final stage of thousand cankers  

E-Print Network (OSTI)

, and Chihuahua, Mexico (Figure 3). This range appears to coincide largely with the distribution of Arizona walnut

82

Cost Estimator  

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

A successful candidate in this position will serve as a senior cost and schedule estimator who is responsible for preparing life-cycle cost and schedule estimates and analyses associated with the...

83

The effect of a multivalley energy band structure on the thermoelectric figure of merit  

E-Print Network (OSTI)

value of the thermoelectric figure of merit Z than a similar material which has only a single valleyL-49 The effect of a multivalley energy band structure on the thermoelectric figure of merit D. M A comparison is drawn between the dimensionless thermoelectric figure of merit of a multivalleyed semiconductor

Boyer, Edmond

84

Petroleum Supply Monthly - July 1995 Data  

Gasoline and Diesel Fuel Update (EIA)

Accuracy of Petroleum Supply Data Accuracy of Petroleum Supply Data by Tammy G. Heppner and Carol L. French Overview Petroleum supply data collected by the Petroleum Supply Division (PSD) of the Energy Information Administration (EIA) were on the right track in 1994. These data are tracked through a series of PSD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). For the major petroleum products, weekly estimates in the WPSR and WFR are the first values available. As illustrated in Figure FE1, the PSA data represents the "finish line" or "true" values. The PSM data are closer to the mark; whereas the monthly-from-weekly (MFW) data are close behind in terms of accuracy. For 1994, 59 petroleum supply

85

A1. Form EIA-176 Figure Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Form EIA-176 Form EIA-176 Figure Energy Information Administration / Natural Gas Annual 1996 214 EIA-176, ANNUAL REPORT OF NATURAL AND SUPPLEMENTAL GAS SUPPLY AND DISPOSITION, 19 PART IV: SUPPLY OF NATURAL AND SUPPLEMENTAL GAS RECEIVED WITHIN OR TRANSPORTED INTO REPORT STATE RESPONDENT COPY Page 2 PART III: TYPE OF COMPANY AND GAS ACTIVITIES OPERATED IN THE REPORT STATE 1.0 Type of Company (check one) 1.0 Control No. 2.0 Company Name 3.0 Report State 4.0 Resubmittal EIA Date: a b c d e Investor owned distributor Municipally owned distributor Interstate pipeline Intrastate pipeline Storage operator f g h i j SNG plant operator Integrated oil and gas Producer Gatherer Processor k Other (specify) 2.0 Gas Activities Operated On-system Within the Report State (check all that apply) a b c d e Produced Natural Gas

86

BRAHMS (Broad Range Hadron Magnetic Spectrometer) Figures and Data Archive  

DOE Data Explorer (OSTI)

The BRAHMS experiment was designed to measure charged hadrons over a wide range of rapidity and transverse momentum to study the reaction mechanisms of the relativistic heavy ion reactions at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory and the properties of the highly excited nuclear matter formed in these reactions. The experiment took its first data during the RHIC 2000 year run and completed data taking in June 2006. The BRAHMS archive makes publications available and also makes data and figures from those publications available as separate items. See also the complete list of publications, multimedia presentations, and related papers at http://www4.rcf.bnl.gov/brahms/WWW/publications.html

87

STAR (Solenoidal Tracker at RHIC) Figures and Data  

DOE Data Explorer (OSTI)

The primary physics task of STAR is to study the formation and characteristics of the quark-gluon plasma (QGP), a state of matter believed to exist at sufficiently high energy densities. STAR consists of several types of detectors, each specializing in detecting certain types of particles or characterizing their motion. These detectors work together in an advanced data acquisition and subsequent physics analysis that allows final statements to be made about the collision. The STAR Publications page provides access to all published papers by the STAR Collaboration, and many of them have separate links to the figures and data found in or supporting the paper. See also the data-rich summaries of the research at http://www.star.bnl.gov/central/physics/results/. [See also DDE00230

The STAR Collaboration

88

REITERATIVE MINIMUM MEAN SQUARE ERROR ESTIMATOR FOR DIRECTION OF ARRIVAL ESTIMATION AND BIOMEDICAL FUNCTIONAL BRAIN IMAGING  

E-Print Network (OSTI)

line indicates t = 1.025 s on the time axis .................. 98 Figure 5-38. An example of the third stage. Top: true dipoles responsible for ASSR and the dipole locations estimated by SAFFIRE-2 with 3-of-5 detector in 3D plot for data at around...

Chan, Tsz Ping

2008-07-25T23:59:59.000Z

89

Chapter 6 - Subsea Cost Estimation  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides guidelines for cost estimation during a project feasibility study, where the accuracy range is between 30% for subsea field development projects. Subsea cost refers to the cost of the whole project, which generally includes the capital expenditures (CAPEX) and operation expenditures (OPEX) of the subsea field development. The feasibility studies are performed before execution of the project, which may include three phases as shown in the figure: prefield development; conceptual/feasibility study; and front-end engineering design (FEED). Cost estimations are made for several purposes, and the methods used for the estimations as well as the desired amount of accuracy will be different. The cost estimation classifications according to Association for the Advancement of Cost Engineering (AACE): level of project definition: expressed as percentage of complete definition; end usage: typical purpose of estimation; methodology: typical estimating method; expected accuracy range: typical range relative to best index of 1; and preparation effort: typical degree of effort relative to least cost index of 1.

Yong Bai; Qiang Bai

2010-01-01T23:59:59.000Z

90

figures for inverse problem paper in 3d - Department of Mathematics ...  

E-Print Network (OSTI)

FIGURES FOR INVERSE PROBLEM PAPER IN 3D. JUAN E. SANTOS. Departamento de Geof sica Aplicada, Facultad de Ciencias Astron omicas y Geof sicas,.

santos

1910-20-20T23:59:59.000Z

91

Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans-Alaska Pipeline that is consumed in pumping.  

E-Print Network (OSTI)

Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans m). So we can toss this out. Now estimate the energy content of gasoline: Many of you tried figuring

Nimmo, Francis

92

EIA - Greenhouse Gas Emissions - Table-Figure Notes and Sources  

Gasoline and Diesel Fuel Update (EIA)

A1. Notes and Sources A1. Notes and Sources Tables Chapter 1: Greenhouse gas emissions overview Table 1. U.S. emissions of greenhouse gases, based on global warming potential, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008, DOE/EIA-0573(2008) (Washington, DC, December 2009). Global warming potentials: Intergovernmental Panel on Climate Change, Climate Change 2007: The Physical Science Basis: Errata (Cambridge, UK: Cambridge University Press, 2008), website http://ipcc-wg1.ucar.edu/wg1/Report/AR4WG1_Errata_2008-12-01.pdf. Table 2. U.S. greenhouse gas intensity and related factors, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the

93

Estimating the Bias of Local Polynomial Approximations Using the Peano Kernel  

SciTech Connect

These presentation visuals define local polynomial approximations, give formulas for bias and random components of the error, and express bias error in terms of the Peano kernel. They further derive constants that give figures of merit, and show the figures of merit for 3 common weighting functions. The Peano kernel theorem yields estimates for the bias error for local-polynomial-approximation smoothing that are superior in several ways to the error estimates in the current literature.

Blair, J., and Machorro, E.

2012-03-22T23:59:59.000Z

94

Estimating the Economic Costs of Espionage  

E-Print Network (OSTI)

reports often cite wide- ranging figures for dollars lost, researchers are hesitant to release their methodologies and sources of data. For example, a 2004 report on the costs of cyber-crime by the Congressional Research Service assessed... lack sufficient information on the process, variables, and data used to estimate cost. 1 U.S. Congressional Research Service. The Economic Impact of Cyber-Attacks, (RL32331; April 1, 2004) Brian...

Bell, Rich; Bennett, J. Ethan; Boles, Jillian R.; Goodoien, David M.; Irving, Jeff W.; Kuhlman, Phillip B.; White, Amanda K.

2010-01-01T23:59:59.000Z

95

Technology Transfer award funding data* Figure 1. Current Technology Transfer awards  

E-Print Network (OSTI)

6 1 4 3 48 23 30 10 Technology Transfer award funding data* Figure 1. Current Technology Transfer awards Numbers represent active grants as at 1 October 2013 Figure 2. Technology Transfer award Transfer funding division. In the 2012/13 financial year Technology Transfer approved awards worth a total

Rambaut, Andrew

96

23 Figure 3.1: Color transition from purple/maroon argillites into bright red  

E-Print Network (OSTI)

;#12;#12;#12;#12;#12;#12;#12;#12;23 Figure 3.1: Color transition from purple/maroon argillites into bright red argillites. This transition weathering, possibly sideritic layer in the lower part of the picture. The fine grained overlying red Island Section, lower maroon and purple part in red unit (level: 9 meter; Figure 3.3); south shore Gull

Kidd, William S. F.

97

Figure 1:Energy Consumption in USg gy p 1E Roberts, Energy in US  

E-Print Network (OSTI)

Fluctuations and Global Events 14E Roberts, Energy in US DOE: 2011 Vehicle Technology Market Report #12;Figure 15: Effect of Oil Prices on US Economy 15E Roberts, Energy in US DOE: 2011 Vehicle Technology MarketFigure 1:Energy Consumption in USg gy p 2008 1E Roberts, Energy in US Source: www.eia.gov #12

Sutton, Michael

98

Development of Figure of Merits (FOMs) for Intermediate Coolant Characterization and Selection  

SciTech Connect

This paper focuses on characterization of several coolant performances in the IHTL. There are lots of choices available for the IHTL coolants; gases, liquid metals, molten salts, and etc. Traditionally, the selection of coolants is highly dependent on engineer's experience and decisions. In this decision, the following parameters are generally considered: melting point, vapor pressure, density, thermal conductivity, heat capacity, viscosity, and coolant chemistry. The followings are general thermal-hydraulic requirements for the coolant in the IHTL: (1) High heat transfer performance - The IHTL coolant should exhibit high heat transfer performance to achieve high efficiency and economics; (2) Low pumping power - The IHTL coolant requires low pumping power to improve economics through less stringent pump requirements; (3) Low amount of coolant volume - The IHTL coolant requires less coolant volume for better economics; (4) Low amount of structural materials - The IHTL coolant requires less structural material volume for better economics; (5) Low heat loss - The IHTL requires less heat loss for high efficiency; and (6) Low temperature drop - The IHTL should allow less temperature drop for high efficiency. Typically, heat transfer coolants are selected based on various fluid properties such as melting point, vapor pressure, density, thermal conductivity, heat capacity, viscosity, and coolant chemistry. However, the selection process & results are highly dependent on the engineer's personal experience and skills. In the coolant selection, if a certain coolant shows superior properties with respect to the others, the decision will be very straightforward. However, generally, each coolant material exhibits good characteristics for some properties but poor for the others. Therefore, it will be very useful to have some figures of merits (FOMs), which can represent and quantify various coolant thermal performances in the system of interest. The study summarized in this paper focuses on developing general FOMs for the IHTL coolant selection and shows some estimation results.

Eung Soo Kim; Piyush Sabharwall; Nolan Anderson

2011-06-01T23:59:59.000Z

99

Estimate Greenhouse Gas Emissions by Building Type | Department of Energy  

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

Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type October 7, 2013 - 10:51am Addthis YOU ARE HERE Step 2 Starting with the programs contributing the greatest proportion of building greenhouse gas (GHG) emissions, the agency should next determine which building types operated by those programs use the most energy (Figure 1). Energy intensity is evaluated instead of emissions in this approach because programs may not have access to emissions data by building type. Figure 1 - An image of an organizational-type chart. A rectangle labeled 'Program 1' has lines pointing to three other rectangles below it labeled 'Building Type 1,' 'Building Type 2,' and 'Building Type 3.' Next to the building types it says, 'Step 2. Estimate emissions by building type.

100

Estimation of Wind Speed in Connection to a Wind Turbine  

E-Print Network (OSTI)

horizontal axis wind power plant with rated power 750 KW. The plant has a three bladed rotor and an automatic is shown in Figure 1 demand Drive train Generator Rotor Wind speed Power demand Grid Power Controller PitchEstimation of Wind Speed in Connection to a Wind Turbine X. Ma #3; , N. K. Poulsen #3; , H. Bindner

Note: This page contains sample records for the topic "mfw estimates figures" 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

Analysis of power estimation techniques in CDMA systems  

E-Print Network (OSTI)

) is the estimator of i-th user's j-t. h paralneter Zl, (j). Figures 1I ? 14 show the performance of the three t, echniques for SNR=--10, 0, 10 anrl 20dB with different number of users. For I, he EM algorithm, thc initial values are zeros and the number...

Pei, Ying

1999-01-01T23:59:59.000Z

102

Container throughput estimation leveraging ship GPS traces and open data  

Science Journals Connector (OSTI)

Traditionally, the port container throughput, a crucial measurement of regional economic development, was manually collected by port authorities. This requires a large amount of human effort and often delays publication of this important figure. In this ... Keywords: AIS trace, container throughput estimation, open data

Longbiao Chen, Daqing Zhang, Gang Pan, Leye Wang, Xiaojuan Ma, Chao Chen, Shijian Li

2014-09-01T23:59:59.000Z

103

Plasmonic Figures of Merit in a Doped Graphene Sheet | MIT-Harvard...  

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

Plasmonic Figures of Merit in a Doped Graphene Sheet May 15, 2014 at 2pm36-428 Marco Polini NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore di Pisa MarcoPolini...

104

Precipitable water structure in tropical systems as estimated from TOVS  

E-Print Network (OSTI)

and OLR . . . 28 67 85 6. Annual and semi-annual cycle effect estimates for selected areas . . . 89 LIST OF FIGURES Figure Page 1. PW fields from three models for 8 Feb 1988. Contour intervals are. 5 cm. . 34 2. PW fields from three models for 10... Feb 1988. Contour intervals are. 5 cm. 35 3. PW field for 9 Jan 1988. Contour intervals are . 5 cm. . 37 4. OLR field for 9 Jan 1988. Contour intervals are 25 Wm-2. . . . 38 5. PW fields from three models for 15 Aug 1990. Contour intervals are . 5...

Hatfield, Eric

2012-06-07T23:59:59.000Z

105

Brush Busters: How to Estimate Costs for Controlling Small Mesquite  

E-Print Network (OSTI)

rapidly as plant size increases. ? Costs can escalate rapidly if you apply leaf or stem sprays using excessive pressure or nozzles with large orifices. ? Labor is usually a major component of total cost with Brush Busters methods. Costs escalate rapidly... and Figure 2 estimates costs for the stem spray method). Each figure consists of three graphs. The upper graph shows the cost for the spray only. The center graph shows total cost for spray plus labor at $6 per hour. The bottom graph shows total cost...

Ueckert, Darrell; McGinty, Allan

1999-04-15T23:59:59.000Z

106

ON THE EQUILIBRIUM FIGURE OF CLOSE-IN PLANETS AND SATELLITES  

SciTech Connect

Many exoplanets have been observed close to their parent stars with orbital periods of a few days. As for the major satellites of the Jovian planets, the figure of these planets is expected to be strongly shaped by tidal forces. However, contrary to solar system satellites, exoplanets may present high values for the obliquity and eccentricity due to planetary perturbations, and may also be captured in spin-orbit resonances different from the synchronous one. Here we give a general formulation of the equilibrium figure of those bodies that makes no particular assumption on the spin and/or orbital configurations. The gravity field coefficients computed here are well suited for describing the figure evolution of a body whose spin and orbit undergo substantial variations in time.

Correia, Alexandre C. M. [Departamento de Fisica, I3N, Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro (Portugal); Rodriguez, Adrian [Insituto de Astronomia, Geofisica e Ciencias Atmosfericas, IAG-USP, Rua do Matao 1226, 05508-090 Sao Paulo (Brazil)

2013-04-20T23:59:59.000Z

107

Graffiti (Figural)  

E-Print Network (OSTI)

2004 Middle Egyptian Quarries Project: 2004 field season.flat space available. In quarries and in way-stops onwith further study is the quarry of Abdel Qurna just north

Cruz-Uribe, Eugene

2008-01-01T23:59:59.000Z

108

Supplemental Figures Supplemental Figure1  

E-Print Network (OSTI)

) induced a gradual change in firing patterns, eventually leading to self-sustained tonic discharges (the

Fujisawa, Shigeyoshi

109

Figure 1. Schematic of initial air pump design Design of Air Pump System Using Bond Graph  

E-Print Network (OSTI)

, is presented in Figure 1. It is a vibratory pump in which an electromagnetic circuit drives a small permanent magnet attached to a pivoted lever that, in turn, drives a rubber bellows pump. The bellows pump has of the cascaded arrangement of three coupled subsystems: the electromagnetic actuator, the lever, and the air

Fernandez, Thomas

110

Figure 1: ATA 42 antenna array at Hat Creek ********ADAPTIVE REAL TIME IMAGING FOR RADIO ASTRONOMY*******  

E-Print Network (OSTI)

Figure 1: ATA 42 antenna array at Hat Creek ********ADAPTIVE REAL TIME IMAGING FOR RADIO ASTRONOMY --------------------------­ · Astronomers primarily interested in astronomy. ­ Data reduction preoccupies radio astronomy specialists,f,p Bandpass( )f PolCal( )f,p Gains( )s,f,p S Beam Imager Astronomy Solver I2 ( ) )^(^, 2sVpfV - å ¹kj X Solver

Militzer, Burkhard

111

Figure 1: Multiplex logarithmic microfluidic perfusion array for probing shear stress effects on stem cells. (A)  

E-Print Network (OSTI)

Figure 1: Multiplex logarithmic microfluidic perfusion array for probing shear stress effects on stem cells. (A) Microfluidic perfusion systems exhibit more defined shear stress profiles and consume. (B) A 1x6 multiplex logarithmic microfluidic array for simultaneous application of shear stress

Voldman, Joel

112

Magnetic Levitation System The following figure shows the cross section of a magnetic levitation (MAGLEV) train.  

E-Print Network (OSTI)

Magnetic Levitation System The following figure shows the cross section of a magnetic levitation in matched pairs. The magnetic attraction of the vertically paired magnets balances the force of gravity and levitates the vehicle above the guideway. d h z Train Track Magnets Fixed Reference Line Magnets

Hagan, Martin

113

High figure-of-merit nematic mixtures based on totally unsaturated isothiocyanate liquid crystals  

E-Print Network (OSTI)

. 1. Introduction The continuous demand for faster electro-optic response times is the driving force of figure-of-merit were observed at room temperature for the formulated nematic mixtures. Potential phased arrays (OPAs) for laser communications, require faster response times. In order to achieve a fast

Wu, Shin-Tson

114

* All figures are in color on the Coastal Sediments Proceedings DVD. NONUNIFORM SEDIMENT TRANSPORT MODELING AT  

E-Print Network (OSTI)

1783 * All figures are in color on the Coastal Sediments Proceedings DVD. NONUNIFORM SEDIMENT@ncche.olemiss.edu. Abstract: A depth-averaged two-dimensionalnonuniform sediment transport model is applied to the beaches. The sediment transport, bed change and sorting equations are solved simultaneously and implicitly at the same

US Army Corps of Engineers

115

3-19 Urban Design Figure 3-9 Aerial View E Looking West  

E-Print Network (OSTI)

View F Looking North West #12;3-21 Urban Design Figure 3-11 Skyline and Massachusetts Avenue Gateway to careful site planning and transportation demand management. As the area has become more densely developed employed by TranSComm whose primary responsibilities include identifying and responding to transportation

Mohanty, Raj

116

Figure 1: Swimmer in swimming User Experiences with a Virtual Swimming Interface  

E-Print Network (OSTI)

accomplished the artistic endeavour by swimming in the pool of the ocean liner, Queen Elizabeth II, travelingFigure 1: Swimmer in swimming apparatus. User Experiences with a Virtual Swimming Interface Exhibit@ece.ubc.ca Abstract. We created an exhibit based on a new locomotion interface for swimming in a virtual reality ocean

British Columbia, University of

117

Enhancement of thermoelectric figure-of-merit by resonant states of aluminium doping in lead selenide  

E-Print Network (OSTI)

By adding aluminium (Al) into lead selenide (PbSe), we successfully prepared n-type PbSe thermoelectric materials with a figure-of-merit (ZT) of 1.3 at 850 K. Such a high ZT is achieved by a combination of high Seebeck ...

Zhang, Qinyong

118

Figure 1. Recurrent modular network architecture Recurrent modular network architecture for sea ice  

E-Print Network (OSTI)

). Classification of sea ice in MIZ is important for navigation in these regions and for accurate evaluation of heatFigure 1. Recurrent modular network architecture Recurrent modular network architecture for sea ice classification in the Marginal Ice Zone using ERS SAR images Andrey V. Bogdanov1a , Marc Toussaint1b , Stein

Toussaint, Marc

119

SPACESHUTTLEPROGRAMPETITIONFOR HCFC 141b Exemption Allowance Figure 3.2 Cornpleteil ET in Sliruy Cell  

E-Print Network (OSTI)

OF HCFC 141b BLOWN FOAM Orbiter uses HCFC 141b blown foam to thermally insulate the Main Propulsion System location, necessitating the use of HCFC I-llb blown foam insulation Figures 3 4 and 3.5, respectively. illustrate the umbilical without and with foam insulation 17 #12;SPACESHUTTLEPROGRAMPETITION FOR HCFC 141b

Christian, Eric

120

IN PRINT (Feb. 2012): Am J Psych Word length: 3,983 Tables: 2, Figures: 4  

E-Print Network (OSTI)

in individuals with autism as early as two years of age. Studies using head circumference suggest that brainIN PRINT (Feb. 2012): Am J Psych Word length: 3,983 Tables: 2, Figures: 4 Brain Volume Findings Neurological Institute, McGill University *IBIS Network: The IBIS (Infant Brain Imaging Study) Network

Utah, University of

Note: This page contains sample records for the topic "mfw estimates figures" 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

Figure 1. Bipartite network showing how candidate SNPs co-occur across Colombian  

E-Print Network (OSTI)

Figure 1. Bipartite network showing how candidate SNPs co-occur across Colombian patients with one Study of Chronic Metabolic Diseases in Colombians Maria A. Caro MSc1,2 , Bryant Dang BS1 , Gabriel, are associated with key demographic and clinical variables in Colombians with metabolic disease. The results

Bhavnani, Suresh K.

122

NANOTECHNOLOGY 4 NOVEMBER 2004 Figure 1. A `quasi-optical' electron paramagnetic resonance (EPR)  

E-Print Network (OSTI)

NANOTECHNOLOGY 4 NOVEMBER 2004 Figure 1. A `quasi-optical' electron paramagnetic resonance (EPR) spectrometer. EPR: Progress towards spin-based quantum computing Electron- and/or nuclear-spin-based quantum-dependent recombination (SDR)1-4 is an electron paramagnetic resonance (EPR) technique that is potentially useful in spin

Demirel, Melik C.

123

Figure 1. Nicaragua at night. The circled area is the Bluefields region.  

E-Print Network (OSTI)

. Instead, they advocate a focus on rural electrification for this region3 . blueEnergy blueEnergy%3 . The electrification rate in rural areas of Nicaragua, where 45% of the population lives, is a meager 25% 2 (Figure 1 are connected to an electric grid, rural areas outside of these cities are not. Due to geographic barriers

Kammen, Daniel M.

124

Figure of merit for dark energy constraints from current observational data  

SciTech Connect

In order to make useful comparisons of different dark energy experiments, it is important to choose the appropriate figure of merit (FoM) for dark energy constraints. Here we show that for a set of dark energy parameters (f{sub i}), it is most intuitive to define FoM=1/{radical}(detCov(f{sub 1},f{sub 2},f{sub 3},...)), where Cov(f{sub 1},f{sub 2},f{sub 3},...) is the covariance matrix of (f{sub i}). In order for this FoM to represent the dark energy constraints in an optimal manner, the dark energy parameters (f{sub i}) should have clear physical meaning and be minimally correlated. We demonstrate two useful choices of (f{sub i}) using 182 SNe Ia (from the HST/GOODS program, the first year Supernova Legacy Survey, and nearby SN Ia surveys), [R(z{sub *}),l{sub a}(z{sub *}),{omega}{sub b}h{sup 2}] from the five year Wilkinson Microwave Anisotropy Probe observations, and Sloan Digital Sky Survey measurement of the baryon acoustic oscillation scale, assuming the Hubble Space Telescope prior of H{sub 0}=72{+-}8 (km/s) Mpc{sup -1}, and without assuming spatial flatness. We find that for a dark energy equation of state linear in the cosmic scale factor a, the correlation of (w{sub 0},w{sub 0.5}) [w{sub 0}=w{sub X}(z=0), w{sub 0.5}=w{sub X}(z=0.5), with w{sub X}(a)=3w{sub 0.5}-2w{sub 0}+3(w{sub 0}-w{sub 0.5})a] is significantly smaller than that of (w{sub 0},w{sub a}) [with w{sub X}(a)=w{sub 0}+(1-a)w{sub a}]. In order to obtain model-independent constraints on dark energy, we parametrize the dark energy density function X(z)={rho}{sub X}(z)/{rho}{sub X}(0) as a free function with X{sub 0.5}, X{sub 1.0}, and X{sub 1.5} [values of X(z) at z=0.5, 1.0, and 1.5] as free parameters estimated from data. If one assumes a linear dark energy equation of state, current observational data are consistent with a cosmological constant at 68% C.L. If one assumes X(z) to be a free function parametrized by (X{sub 0.5},X{sub 1.0},X{sub 1.5}), current data deviate from a cosmological constant at z=1 at 68% C.L., but are consistent with a cosmological constant at 95% C.L. Future dark energy experiments will allow us to dramatically increase the FoM of constraints on (w{sub 0},w{sub 0.5}), and of (X{sub 0.5},X{sub 1.0},X{sub 1.5}). This will significantly shrink the dark energy parameter space to either enable the discovery of dark energy evolution, or the conclusive evidence for a cosmological constant.

Wang Yun [Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, 440 West Brooks Street, Norman, OK 73019 (United States)

2008-06-15T23:59:59.000Z

125

Figure of merit for dark energy constraints from current observational data  

Science Journals Connector (OSTI)

In order to make useful comparisons of different dark energy experiments, it is important to choose the appropriate figure of merit (FoM) for dark energy constraints. Here we show that for a set of dark energy parameters {fi}, it is most intuitive to define FoM=1/det?Cov(f1,f2,f3,), where Cov(f1,f2,f3,) is the covariance matrix of {fi}. In order for this FoM to represent the dark energy constraints in an optimal manner, the dark energy parameters {fi} should have clear physical meaning and be minimally correlated. We demonstrate two useful choices of {fi} using 182 SNeIa (from the HST/GOODS program, the first year Supernova Legacy Survey, and nearby SNIa surveys), [R(z*),la(z*),?bh2] from the five year Wilkinson Microwave Anisotropy Probe observations, and Sloan Digital Sky Survey measurement of the baryon acoustic oscillation scale, assuming the Hubble Space Telescope prior of H0=728??(km/s)?Mpc-1, and without assuming spatial flatness. We find that for a dark energy equation of state linear in the cosmic scale factor a, the correlation of (w0,w0.5) [w0=wX(z=0), w0.5=wX(z=0.5), with wX(a)=3w0.5-2w0+3(w0-w0.5)a] is significantly smaller than that of (w0,wa) [with wX(a)=w0+(1-a)wa]. In order to obtain model-independent constraints on dark energy, we parametrize the dark energy density function X(z)=?X(z)/?X(0) as a free function with X0.5, X1.0, and X1.5 [values of X(z) at z=0.5, 1.0, and 1.5] as free parameters estimated from data. If one assumes a linear dark energy equation of state, current observational data are consistent with a cosmological constant at 68% C.L. If one assumes X(z) to be a free function parametrized by (X0.5,X1.0,X1.5), current data deviate from a cosmological constant at z=1 at 68% C.L., but are consistent with a cosmological constant at 95% C.L. Future dark energy experiments will allow us to dramatically increase the FoM of constraints on (w0,w0.5), and of (X0.5,X1.0,X1.5). This will significantly shrink the dark energy parameter space to either enable the discovery of dark energy evolution, or the conclusive evidence for a cosmological constant.

Yun Wang

2008-06-18T23:59:59.000Z

126

Internal Dose Estimates from  

E-Print Network (OSTI)

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population;TABLE OF CONTENTS Page F- Part I. Estimates of Dose...........................................................................................40 Comparison to dose estimates from global fallout

127

Figure 2: The mercury jet target geometry. The proton beam and mercury jet cross at z=-37.5 cm.  

E-Print Network (OSTI)

Figure 2: The mercury jet target geometry. The proton beam and mercury jet cross at z=-37.5 cm. Figure 3: The layout of multiple proton beam entry directions relative to mercury jet at z=-75 cm. A PION of a free liquid mercury jet with an intense proton beam. We study the variation of meson production

McDonald, Kirk

128

A novel optimization-based pole-figure inversion method: comparison with WIMV and maximum entropy methods  

Science Journals Connector (OSTI)

An optimization-based pole-figure inversion method is presented that utilizes the orientation distribution function gradient for conditional control of the solution. The novel pole-figure inversion method, coined the hybrid -seminorm minimization, is empirically shown to be versatile, general and robust in the presence of simulated experimental errors.

Bernier, J.V.

2006-09-12T23:59:59.000Z

129

Facts & figures 2010 The University of Gothenburg is, with its 37,000 students, one of the lar-  

E-Print Network (OSTI)

cost 59 % Premises 13 % Other operating costs 24 % Capital costs 4 % Expenditure in percentages #12 funding and other sources Expenditure SEK 4,785 million of which: > SEK 2,817 million is spent > SEK 190 million is spent on capital costs Finances facts & figures 2010 facts & figures 2010 Personnel

Johannesson, Henrik

130

JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 31, NO. 19, OCTOBER 1, 2013 3181 Noise Figure in Near-Infrared Amorphous and  

E-Print Network (OSTI)

JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 31, NO. 19, OCTOBER 1, 2013 3181 Noise Figure in Near-Infrared, Senior Member, IEEE Abstract--The noise figures (NF) of near-infrared (near-IR) amorphous silicon (a Amorphous and Mid-Infrared Crystalline Silicon Optical Parametric Amplifiers Jichi Ma and Sasan Fathpour

Fathpour, Sasan

131

Figure A1. Natural gas processing plant capacity in the United States, 2013 2012  

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

5 5 Figure A1. Natural gas processing plant capacity in the United States, 2013 2012 Table A2. Natural gas processing plant capacity, by state, 2013 (million cubic feet per day) Alabama 1,403 Arkansas 24 California 926 Colorado 5,450 Florida 90 Illinois 2,100 Kansas 1,818 Kentucky 240 Louisiana 10,737 Michigan 479 Mississippi 1,123

132

Cost Estimation Package  

Directives, Delegations, and Requirements

This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

1997-03-28T23:59:59.000Z

133

Check Estimates and Independent Costs  

Directives, Delegations, and Requirements

Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

1997-03-28T23:59:59.000Z

134

A New Shear Estimator for Weak Lensing Observations  

E-Print Network (OSTI)

We present a new shear estimator for weak lensing observations which properly accounts for the effects of a realistic point spread function (PSF). Images of faint galaxies are subject to gravitational shearing followed by smearing with the instrumental and/or atmospheric PSF. We construct a `finite resolution shear operator' which when applied to an observed image has the same effect as a gravitational shear applied prior to smearing. This operator allows one to calibrate essentially any shear estimator. We then specialize to the case of weighted second moment shear estimators. We compute the shear polarizability which gives the response of an individual galaxy's polarization to a gravitational shear. We then compute the response of the population of galaxies, and thereby construct an optimal weighting scheme for combining shear estimates from galaxies of various shapes, luminosities and sizes. We define a figure of merit --- an inverse shear variance per unit solid angle --- which characterizes the quality o...

Kaiser, N

1999-01-01T23:59:59.000Z

135

Arterial Travel Time Estimation Based On Vehicle Re-Identification Using Magnetic Sensors: Performance Analysis  

E-Print Network (OSTI)

: the arterial travel time estimation system is summarized in Section II. The test site and vehicle detection are explained in Section IV. An analysis of the ground truth and the vehicle detection system data is presented City (Figure 1). The performance of the original system and the system with the modified vehicle re

Horowitz, Roberto

136

About the Work of Art In the 1940s, Christian Petersen sculpted a plaster figure of George Washington Carver. He  

E-Print Network (OSTI)

About the Work of Art In the 1940s, Christian Petersen sculpted a plaster figure of George this sculpture in bronze as he originally intended, so he painted the work of art to resemble bronze. The plaster

Mayfield, John

137

Radiation Dose Estimates from  

E-Print Network (OSTI)

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air- tantly, what radiation dose people may have received. An independent Technical Steering Panel (TSP, additionalProjectworkcouldresultin revisions of these dose estimates. April 21, 1994 Companion

138

State Energy Production Estimates  

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

State Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052...

139

Types of Cost Estimates  

Directives, Delegations, and Requirements

The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

1997-03-28T23:59:59.000Z

140

External Dose Estimates from  

E-Print Network (OSTI)

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure-MQ-003539 March 15, 2000 G-2 #12;Abstract This report provides estimates of the external radiation-62. Estimates are given on a county by county basis for each month from 1953-1972. The average population dose

Note: This page contains sample records for the topic "mfw estimates figures" 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

External Dose Estimates from  

E-Print Network (OSTI)

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure. 1, 1999) E-2 #12;Abstract This report provides estimates of the external radiation exposure of this report to: "Prepare crude estimates of the doses from external irradiation received by the American

142

Portugal Egypt Figure 2. Natural gas supply and disposition in the United States, 2012  

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

Portugal Egypt Figure 2. Natural gas supply and disposition in the United States, 2012 (trillion cubic feet) Natural Gas Plant Liquids Production Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 29.5 0.8 0.2 3.3 2.963 0.112 0.620 0.971 0.014 24.1 1.3 2.9 2.8 2.5 2.9 7.2 0.03 9.1 0.003 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and

143

Thermoelectric figure of merit of Ag{sub 2}Se with Ag and Se excess  

SciTech Connect

In the temperature range of 100-300 K, the electric ({sigma}) and thermoelectric ({alpha}{sub 0}) properties of Ag{sub 2}Se with an excess of Ag as high as {approx}0.1 at. % and Se as high as {approx}1.0 at. %, respectively, are investigated. From the data on {sigma}, {alpha}{sub 0}, and {chi}{sub tot} (thermal conductivities), the thermoelectric power {alpha}{sub 0}{sup 2}{sigma} and the figure of merit Z are calculated. It is found that {alpha}{sub 0}{sup 2}{sigma} and Z attain the peak values at room temperature and the electron concentration n {approx} 6.5 x 10{sup 18} cm{sup -3}.

Aliev, F. F., E-mail: farzali@physics.ab.az; Jafarov, M. B.; Eminova, V. I. [Azerbaijan National Academy of Sciences, Institute of Physics (Azerbaijan)

2009-08-15T23:59:59.000Z

144

High figure-of-merit ultrathin metal transparent electrodes incorporating a conductive grid  

SciTech Connect

It is known that ultrathin (<10 nm) metal films (UTMFs) can achieve high level of optical transparency at the expense of the electrical sheet resistance. In this letter, we propose a design, the incorporation of an ad hoc conductive grid, which can significantly reduce the sheet resistance of UTMF based transparent electrodes, leaving practically unchanged their transparency. The calculated highest figure-of-merit corresponds to a filling factor and a grid spacing-to-linewidth ratio of 0.025 and 39, respectively. To demonstrate the capability of the proposed method the sheet resistance of a continuous 2 nm Ni film (>950 OMEGA/square) is reduced to approx6.5 OMEGA/square when a 100 nm thick Cu grid is deposited on it. The transparency is instead maintained at values exceeding 75%. These results, which can be further improved by making thicker grids, already demonstrate the potential in applications, such as photovoltaic cells, optical detectors and displays.

Ghosh, D. S.; Chen, T. L. [ICFO-Institut de Ciencies Fotoniques, Mediterranean Technology Park, Castelldefels, Barcelona, 08860 Catalunya (Spain); Pruneri, V. [ICFO-Institut de Ciencies Fotoniques, Mediterranean Technology Park, Castelldefels, Barcelona, 08860 Catalunya (Spain); ICREA-Institucio Catalana de Recerca i Estudis Avancats, 08010 Barcelona (Spain)

2010-01-25T23:59:59.000Z

145

PHENIX (Pioneering High Energy Nuclear Interaction eXperiment): Data Tables and Figures from Published Papers  

DOE Data Explorer (OSTI)

The PHENIX Experiment is the largest of the four experiments currently taking data at the Relativistic Heavy Ion Collider. PHENIX, the Pioneering High Energy Nuclear Interaction eXperiment, is an exploratory experiment for the investigation of high energy collisions of heavy ions and protons. PHENIX is designed specifically to measure direct probes of the collisions such as electrons, muons, and photons. The primary goal of PHENIX is to discover and study a new state of matter called the Quark-Gluon Plasma. More than 60 published papers and preprints are listed here with links to the full text and separate links to the supporting PHENIX data in plain text tables and to EPS and GIF figures from the papers.

146

Adsorption of Volatile Organic Compounds in Pillared Clays:? Estimation of the Separation Factor by a Method Derived from the Dubinin?Radushkevich Equation  

Science Journals Connector (OSTI)

Figure 1 Adsorption isotherms (nitrogen at 77 K and other vapors at 298 K) in the aluminum oxide pillared clay (Al-PILC). ... Figure 2 Adsorption isotherms (nitrogen at 77 K and other vapors at 298 K) in the zirconium oxide pillared clay (Zr-PILC). ... Figure 3 Separation factors versus coverage for the aluminum oxide pillared clay (Al-PILC) with the values of ? estimated from the parachors (closed symbols) or the molar polarizations (open symbols) using benzene (squares) or carbon tetrachloride (triangles) as standard vapor. ...

Joo Pires; Moiss L. Pinto; Ana Carvalho; M. B. de Carvalho

2003-08-16T23:59:59.000Z

147

Introduction Estimation paramtrique (exemples)  

E-Print Network (OSTI)

Introduction Estimation paramétrique (exemples) FARMAN : Laboratoire SATIE Jean-Pierre Barbot J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 1/36 #12;Introduction Estimation paramétrique (exemples de paramètres de synchronisation (VDSL 2) J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 2

148

Internal Dose Estimates from  

E-Print Network (OSTI)

Appendix H Internal Dose Estimates from Global Fallout H-1 #12;Radiation Dose to the Population. 263-MQ-008090 September 30, 2000 H-2 #12;Radiation Dose to the Population of the Continental United Site Part I. Estimates of Dose Lynn R. Anspaugh Lynn R. Anspaugh, Consulting Salt Lake City, UT Report

149

Estimating Specialty Costs  

Directives, Delegations, and Requirements

Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

1997-03-28T23:59:59.000Z

150

Multiple-Filled Skutterudites: High Thermoelectric Figure of Merit through Separately Optimizing Electrical and Thermal Transports  

SciTech Connect

Skutterudites CoSb{sub 3} with multiple cofillers Ba, La, and Yb were synthesized and very high thermoelectric figure of merit ZT = 1.7 at 850 K was realized. X-ray diffraction of the densified multiple-filled bulk samples reveals all samples are phase pure. High-resolution scanning transmission electron microscopy (STEM) and energy dispersive X-ray spectroscopy (EDS) analysis confirm that multiple guest fillers occupy the nanoscale-cages in the skutterudites. The fillers are further shown to be uniformly distributed and the Co-Sb skutterudite framework is virtually unperturbed from atomic scale to a few micrometers. Our results firmly show that high power factors can be realized by adjusting the total filling fraction of fillers with different charge states to reach the optimum carrier density, at the same time, lattice thermal conductivity can also be significantly reduced, to values near the glass limit of these materials, through combining filler species of different rattling frequencies to achieve broad-frequency phonon scattering. Therefore, partially filled skutterudites with multiple fillers of different chemical nature render unique structural characteristics for optimizing electrical and thermal transports in a relatively independent way, leading to continually enhanced ZT values from single- to double-, and finally to multiple-filled skutterudites. The idea of combining multiple fillers with different charge states and rattling frequencies for performance optimization is also expected to be valid for other caged TE compounds.

Zhang, Weiqing [Chinese Academy of Sciences; Yang, Jiong [Chinese Academy of Sciences; Yang, Jihui [General Motors Corporation; Wang, Hsin [ORNL; Salvador, James R. [GM R& D and Planning, Warren, Michigan; Shi, Xun [General Motors Corporation-R& D; Chi, Miaofang [ORNL; Cho, Jung Y [GM R& D and Planning, Warren, Michigan; Bai, Shengqiang [Chinese Academy of Sciences; Chen, Lidong [Chinese Academy of Sciences

2011-01-01T23:59:59.000Z

151

Phase transition enhanced thermoelectric figure-of-merit in copper chalcogenides  

SciTech Connect

While thermoelectric materials can be used for solid state cooling, waste heat recovery, and solar electricity generation, low values of the thermoelectric figure of merit, zT, have led to an efficiency too low for widespread use. Thermoelectric effects are characterized by the Seebeck coefficient or thermopower, which is related to the entropy associated with charge transport. For example, coupling spin entropy with the presence of charge carriers has enabled the enhancement of zT in cobalt oxides. We demonstrate that the coupling of a continuous phase transition to carrier transport in Cu{sub 2}Se over a broad (360410 K) temperature range results in a dramatic peak in thermopower, an increase in phonon and electron scattering, and a corresponding doubling of zT (to 0.7 at 406 K), and a similar but larger increase over a wider temperature range in the zT of Cu{sub 1.97}Ag{sub .03}Se (almost 1.0 at 400 K). The use of structural entropy for enhanced thermopower could lead to new engineering approaches for thermoelectric materials with high zT and new green applications for thermoelectrics.

Brown, David R.; Day, Tristan; Snyder, G. Jeffrey, E-mail: jsnyder@caltech.edu [Department of Applied Physics and Materials Science, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125 (United States); Borup, Kasper A.; Christensen, Sebastian; Iversen, Bo B. [Department of Chemistry and iNano, Aarhus University, Aarhus 8000 (Denmark)

2013-11-01T23:59:59.000Z

152

Accuracy of Petroleum Supply Data  

Gasoline and Diesel Fuel Update (EIA)

Accuracy of Petroleum Supply Data Accuracy of Petroleum Supply Data by Tammy G. Heppner and Matthew M. Breslin Overview For 2007, 66 petroleum supply data series were analyzed to determine how close the PSM values were to the final PSA values. For these series, 50 out of the 66 PSM values were within 1 percent of the PSA values in terms of mean absolute percent error as compared to 38 out of 66 in 2006. Sixty-two petroleum supply data series were analyzed to see how close the MFW estimates were to the final PSA values. For these 62 series, 22 MFW estimates were within 2 percent of the PSA values in terms of mean absolute percent error and, of those, 9 were within 1 percent, compared to 27 and 10, respectively, for 2006. Petroleum supply data collected by the Petroleum Division

153

Length = 3950 Words + 10 Figures + 1 Table = 6700 Automatic Calibration of the Fundamental Diagram and Empirical  

E-Print Network (OSTI)

simulation models. The method consists of data filtering, capacity identification, and approximate quantile 1st, 2008 #12;Dervisoglu, et. al. 1 ABSTRACT We present a method for automated, empirical for a section of freeway and rapidly and reliably estimates key parameters such as free flow speed, capacity

Horowitz, Roberto

154

Figure 1. Schematic drawing showing the components of a Li-ion battery cell and the information that can be  

E-Print Network (OSTI)

Proposals In Situ Electron Microscopy and Spectroscopy Studies of Interfaces in Advanced Li-ion BatteriesFigure 1. Schematic drawing showing the components of a Li-ion battery cell and the information (8300 28th Ct NE, Unit 200, Lacey, Washington 98516) Electrochemical energy storage devices (EES

155

Enhanced thermoelectric figure of merit in edge-disordered zigzag graphene nanoribbons H. Sevinli* and G. Cuniberti  

E-Print Network (OSTI)

qualify zigzag graphene nanoribbons as a very promising material for thermoelectric applications. DOI: 10Enhanced thermoelectric figure of merit in edge-disordered zigzag graphene nanoribbons H. Sevinçli* and G. Cuniberti Institute for Materials Science and Max Bergmann Center of Biomaterials, Dresden

Cuniberti, Gianaurelio

156

Figure 1. Photolithography techniques are used to create microfluidic flow cells where biofouling can be studied for  

E-Print Network (OSTI)

Figure 1. Photolithography techniques are used to create microfluidic flow cells where biofouling and construct microfluidic flow cells for real-time observation of bacterial attachment and biofouling. He microfluidic devices, and computer multiphysics simulation with COMSOL. The student will also learn to work

Shor, Leslie McCabe

157

Correct figures for Gertz, Stewart, and Khosla, ``An Iconic Programming Language for SensorBased Robots,'' SOAR 1992. interface X  

E-Print Network (OSTI)

#12; #12; #12; #12; #12; #12; #12; #12; Correct figures for Gertz, Stewart, and Khosla, ``An Iconic S job T actuator interface Z to actuator Z from sensor Y raw data in typed data in from sensor X iconic programming language iconic programs (jobs) graphical interfaces real­time tasks subroutine calls graphical

158

Figure 2. Urban lawns have ~ 2x the microbial biomass of native and/or cultivated areas. Viable microbial biomass  

E-Print Network (OSTI)

Figure 2. Urban lawns have ~ 2x the microbial biomass of native and/or cultivated areas. Viable and fertilized Corn: flood irrigated and fertilized Wheat-Fallow: a dryland winter wheat cropping system C and N mineralization rates (data not shown) than other ecosystems, suggesting that energy

Hall, Sharon J.

159

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

160

Cost Estimating Guide  

Directives, Delegations, and Requirements

This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

2011-05-09T23:59:59.000Z

Note: This page contains sample records for the topic "mfw estimates figures" 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

: Helmholtz machine estimation .  

E-Print Network (OSTI)

: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self

162

An Analogy Based Method for Freight Forwarding Cost Estimation  

E-Print Network (OSTI)

30 Figure 6. Normalized oil price and freight cost perprices (Figure 6. Normalized oil price and freight cost perof information on rising oil prices in popular culture and

Straight, Kevin Andrew

2014-01-01T23:59:59.000Z

163

Figure 2 Known and speculative Eocene-Oligocene paleovalleys of northern California and western Nevada. Lower portions of channels from Lindgren (1911) and Lawler (1995). Some central Nevada calderas shown.  

E-Print Network (OSTI)

Dayton Kings Beach Reno Sparks Sun Valley Yerington Dutch Hill Mine Bean Hill Spanish Peak TaylorsLake FIGURE 8 FIGURE 7 FIGURE 6 Taylorsville N 0 10 20 0 10 20 miles 30 kilometers CALIFORNIA NEVADA LassenCounty SierraCounty Plumas County Figure 4 Map of known and speculative Eocene-Oligocene paleovalleys

Tingley, Joseph V.

164

Under-estimation of the UK Tidal David J.C. MacKay  

E-Print Network (OSTI)

of the flow of energy in a tidal wave. In a shallow-water-wave model of tide, the true flow of en- ergy is greater than the Black-and-Veatch flow by a factor of d/h, where d is the water depth and h is the tide on the DTI Energy Review, Salter [2005] suggests that this standard figure may well be an under-estimate (see

MacKay, David J.C.

165

Estimating the Bias of Local Polynomial Approximation Methods Using the Peano Kernel  

SciTech Connect

The determination of uncertainty of an estimate requires both the variance and the bias of the estimate. Calculating the variance of local polynomial approximation (LPA) estimates is straightforward. We present a method, using the Peano Kernel Theorem, to estimate the bias of LPA estimates and show how this can be used to optimize the LPA parameters in terms of the bias-variance tradeoff. Figures of merit are derived and values calculated for several common methods. The results in the literature are expanded by giving bias error bounds that are valid for all lengths of the smoothing interval, generalizing the currently available asymptotic results that are only valid in the limit as the length of this interval goes to zero.

Blair, J.; Machorro, E.; Luttman, A.

2013-03-01T23:59:59.000Z

166

Weekly Coal Production Estimation Methodology  

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

Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio...

167

REQUESTS FOR RETIREMENT ESTIMATE  

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

REQUEST FOR RETIREMENT ANNUITY ESTIMATE REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________ _____________________ Name (last, first, middle) Last four SSN Date of Birth ___________________________ _________________________ __________________________ Organization Office Telephone Number Fax Number

168

11.5 MATLAB Laboratory Experiment on Circuits Consider the electrical circuit presented in Figure 11.18. Assume that all resistors in the  

E-Print Network (OSTI)

11.5 MATLAB Laboratory Experiment on Circuits Consider the electrical circuit presented in Figure analysis, form the matrices j and k and the vector of initial conditions. Use MATLAB to find the currents via MATLAB, using the electrical circuit given in Figure 11.19 and the corresponding formulas

Gajic, Zoran

169

Colored figures Franke & Gaser (2012): Longitudinal changes in individual BrainAGE in healthy aging, mild cognitive impairment, and Alzheimer's disease  

E-Print Network (OSTI)

Colored figures Franke & Gaser (2012): Longitudinal changes in individual BrainAGE in healthy aging, mild cognitive impairment, and Alzheimer's disease Figure 1: Depiction of the BrainAGE concept. A: The model of healthy brain aging is trained with the chronological age and preprocessed structural MRI data

Gaser, Christian

170

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset  

E-Print Network (OSTI)

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset representation used in later figures. In these boxes the "dataset-wise" scheme, the examples are relabeled prior to conducting the cross- validation, while

171

Estimating SCR installation costs  

SciTech Connect

The EUCG surveyed 72 separate US installations of selective catalytic reduction (SCR) systems at coal-fired units totalling 41 GW of capacity to identify the systems' major cost drivers. The results, summarized in this article, provide excellent first-order estimates and guidance for utilities considering installing the downstream emissions-control technology. 4 figs., 1 tab.

Marano, M.; Sharp, G. [American Electric Power (United States)

2006-01-15T23:59:59.000Z

172

SPACE TECHNOLOGY Actual Estimate  

E-Print Network (OSTI)

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

173

Multiple phase estimation in quantum cloning machines  

E-Print Network (OSTI)

Since the initial discovery of the Wootters-Zurek no-cloning theorem, a wide variety of quantum cloning machines have been proposed aiming at imperfect but optimal cloning of quantum states within its own context. Remarkably, most previous studies have employed the Bures fidelity or the Hilbert-Schmidt norm as the figure of merit to characterize the quality of the corresponding cloning scenarios. However, in many situations, what we truly care about is the relevant information about certain parameters encoded in quantum states. In this work, we investigate the multiple phase estimation problem in the framework of quantum cloning machines, from the perspective of quantum Fisher information matrix (QFIM). Focusing on the generalized d-dimensional equatorial states, we obtain the analytical formulas of QFIM for both universal quantum cloning machine (UQCM) and phase-covariant quantum cloning machine (PQCM), and prove that PQCM indeed performs better than UQCM in terms of QFIM. We highlight that our method can be generalized to arbitrary cloning schemes where the fidelity between the single-copy input and output states is input-state independent. Furthermore, the attainability of the quantum Cramer-Rao bound is also explicitly discussed.

Yao Yao; Li Ge; Xing Xiao; Xiao-guang Wang; Chang-pu Sun

2014-07-22T23:59:59.000Z

174

Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988  

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

Manufacturing > Derived Annual Estimates - Executive Summary Manufacturing > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the U.S. economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982-84 and 1986-87. For the purposes of this report, "purchased" energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the U.S. Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as "offsite-produced fuels." The completed annual series for 1974 to 1988 developed in this report links the ASM and MECS "offsite" series, estimating for the missing years. Estimates are provided for the manufacturing sector as a whole and at the two-digit Standard Industrial Classification (SIC) level for total energy consumption and for the consumption of individual fuels. There are no direct sources of data for the missing years (1982-1984 and 1986-1987). To derive consumption estimates, a comparison was made between the ASM, MECS, and other economic series to see whether there were any good predictors for the missing data. Various estimation schemes were analyzed to fill in the gaps in data after 1981 by trying to match known data for the 1974 to 1981 period.

175

Use of Cost Estimating Relationships  

Directives, Delegations, and Requirements

Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

1997-03-28T23:59:59.000Z

176

Reinforcing floodrisk estimation  

Science Journals Connector (OSTI)

...publication of the Flood estimation handbook, studies of ood risk are now...especially for its neglect of the physics of catchment pro- cesses of...recommended in the Flood estimation handbook (Institute of Hydrology 1999...estimates. The Flood estimation handbook (Institute of Hydrology 1999...

2002-01-01T23:59:59.000Z

177

Los Alamos PC estimating system  

SciTech Connect

The Los Alamos Cost Estimating System (QUEST) is being converted to run on IBM personal computers. This very extensive estimating system is capable of supporting cost estimators from many different and varied fields. QUEST does not dictate any fixed method for estimating. QUEST supports many styles and levels of detail estimating. QUEST can be used with or without data bases. This system allows the estimator to provide reports based on levels of detail defined by combining work breakdown structures. QUEST provides a set of tools for doing any type of estimate without forcing the estimator to use any given method. The level of detail in the estimate can be mixed based on the amount of information known about different parts of the project. The system can support many different data bases simultaneously. Estimators can modify any cost in any data base.

Stutz, R.A.; Lemon, G.D.

1987-01-01T23:59:59.000Z

178

NPP Estimation for Grasslands  

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

NPP for Grasslands NPP for Grasslands Introduction The Oak Ridge DAAC Net Primary Production (NPP) Database includes field measurements from grassland study sites worldwide. The following brief review and discussion is intended to explain the complexity of NPP estimates derived from grassland measurements. There is no single answer to the question, "What is the productivity of the ecosystem at study site A?"; rather there may be range of estimates of NPP, depending upon what data were actually collected and how these data are processed. Although some of these methods for determining NPP for grasslands may be applicable to other vegetation types (e.g., semi-deserts, tundra, or some crops), methods for forests, in particular, are significantly different. Nevertheless, it should be possible to answer the question, "Is this modelled value of NPP reasonable for this ecosystem type at this location?"

179

A New Shear Estimator for Weak Lensing Observations  

E-Print Network (OSTI)

We present a new shear estimator for weak lensing observations which properly accounts for the effects of a realistic point spread function (PSF). Images of faint galaxies are subject to gravitational shearing followed by smearing with the instrumental and/or atmospheric PSF. We construct a `finite resolution shear operator' which when applied to an observed image has the same effect as a gravitational shear applied prior to smearing. This operator allows one to calibrate essentially any shear estimator. We then specialize to the case of weighted second moment shear estimators. We compute the shear polarizability which gives the response of an individual galaxy's polarization to a gravitational shear. We then compute the response of the population of galaxies, and thereby construct an optimal weighting scheme for combining shear estimates from galaxies of various shapes, luminosities and sizes. We define a figure of merit --- an inverse shear variance per unit solid angle --- which characterizes the quality of image data for shear measurement. The new method is tested with simulated image data. We discuss the correction for anisotropy of the PSF and propose a new technique involving measuring shapes from images which have been convolved with a re-circularizing PSF. We draw attention to a hitherto ignored noise related bias and show how this can be analyzed and corrected for. The analysis here draws heavily on the properties of real PSF's and we include as an appendix a brief review, highlighting those aspects which are relevant for weak lensing.

Nick Kaiser

1999-04-01T23:59:59.000Z

180

Estimation of tracer diffusion coefficients of ions in aqueous solution  

SciTech Connect

Equations are given for estimating tracer diffusion coefficients D/sub i//sup 0/ of ions at infinite dilution in terms of limiting ionic conductances ..lambda../sub i//sup 0/. Also given are generalized Nernst-Hartley equations for binary and multicomponent diffusion coefficients D/sup 0/ and D/sub ij//sup 0/, respectively, at infinite dilution. Data, estimates, and correlations for ..lambda../sub i//sup 0/ at 25/sup 0/C and other temperatures are discussed. Estimated values of ..lambda../sub i//sup 0/ are tabulated from 0-300/sup 0/C for ions of waste isolation interest and for ions of economic interest in geothermal brines. Estimates of their tracer diffusion coefficients at infinite dilution are tabulated. A rule of thumb, good to a factor of 2, is presented. Very limited data (available only at 25/sup 0/C) indicate that D/sub i//D/sub i//sup 0/ generally declines as the concentration of salt or supporting electrolyte increases. 6 figures, 2 tables.

Miller, D.G.

1982-09-07T23:59:59.000Z

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181

Figures of merit for focusing mega-electron-volt ion beams in biomedical imaging and proton beam writing  

SciTech Connect

A figure of merit (FOM) has been developed for focusing quadrupole multiplet lenses for ion micro- and nanobeam systems. The method which is based on measurement of the central peak of the two-dimensional autocorrelation function of an image provides separate FOM for the horizontal and vertical directions. The approach has been tested by comparison with the edge widths obtained by nonlinear fitting the edge widths of a Ni grid and found to be reliable. The FOM has the important advantage for ion beam imaging of biomedical samples that the fluence needed is considerably lower than for edge fitting.

Ren Minqin; Whitlow, Harry J.; Ananda Sagari, A. R.; Kan, Jeroen A. van; Osipowicz, Thomas; Watt, Frank [Department of Physics, University of Jyvaeskylae, P.O. Box 35 (YFL), FIN-40014 (Finland); Centre for Ion Beam Applications, Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117542 (Singapore)

2008-01-01T23:59:59.000Z

182

Parameter Estimation Through Ignorance  

E-Print Network (OSTI)

Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

Hailiang Du; Leonard A. Smith

2012-06-06T23:59:59.000Z

183

Supplemental Figures and Tables for Groundfish EFH Review Phase 1 Report "Federal and State Marine Protected Areas Type of Fishing Restriction"  

E-Print Network (OSTI)

"Federal and State Marine Protected Areas ­ Type of Fishing Restriction" Author and state MPAs depicted in map figures, categorized by level of fishing restriction Fishing Restriction BEFORE AFTER Commercial and Recreational Fishing Prohibited

Goldfinger, Chris

184

Cost Estimating, Analysis, and Standardization  

Directives, Delegations, and Requirements

To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

1984-11-02T23:59:59.000Z

185

Continentality: its estimation and physical significance  

E-Print Network (OSTI)

the North American continent as a whole. In addition, the Rocky Mountain and Great Lakes-Appalachia regions were chosen for mesoscale analysis in order to determine what effect elevation and large water bod1es have on lag. Isopleth analyses... . . . . . . . . . . . . . . . . . . 57 LIST OF FIGURES Figure 1 Continentality of North America according to Conrad 2 Stations used for continental scale analysis. 3 Rocky Mountain stations 4 Great Lakes-Appalachia stations Page 15 16 17 5 (Jun + Jul) - (Dec + Jan) radiation...

Yee Fong, Juan Manuel

1985-01-01T23:59:59.000Z

186

OFF-HIGHWAY GASOLINE CONSUMPTION ESTIMATION MODELS USED IN THE FEDERAL HIGHWAY ADMINISTRATION ATTRIBUTION AND PROCESS  

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

222 222 Center for Transportation Analysis Energy and Transportation Science Division OFF-HIGHWAY GASOLINE CONSUMPTION ESTIMATION MODELS USED IN THE FEDERAL HIGHWAY ADMINISTRATION ATTRIBUTION AND PROCESS 2008 Updates Ho-Ling Hwang, Ph.D. Stacy Davis Date Published: December 2009 Prepared by OAK RIDGE NATIONAL LABORATORY Oak Ridge, Tennessee 37831-6283 managed by UT-BATTELLE, LLC for the U.S. DEPARTMENT OF ENERGY under contract DE-AC05-00OR22725 iii TABLE OF CONTENTS LIST OF FIGURES AND TABLES....................................................................................v LIST OF ACRONYMS .................................................................................................... vii ABSTRACT ....................................................................................................................... ix

187

Examples of Cost Estimation Packages  

Directives, Delegations, and Requirements

Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

1997-03-28T23:59:59.000Z

188

5, 30473104, 2005 Estimates of  

E-Print Network (OSTI)

parametrisations, one relating convective preciptation (CP scheme) to lightning flash15 distributionsACPD 5, 3047­3104, 2005 Estimates of lightning NOx production K. F. Boersma et al. Title Page Discussions Estimates of lightning NOx production from GOME satellite observations K. F. Boersma, H. J. Eskes

Paris-Sud XI, Université de

189

Energy Expenditure Estimation DEMO Application  

E-Print Network (OSTI)

of accelerometry. An average smart phone contains an inertial sensor and today we hardly leave our home without itEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

Lu?trek, Mitja

190

Flight test techniques for aircraft parameter estimation in ground effect  

E-Print Network (OSTI)

Longitudinal Noise Levels 85 Table 18 Longitudinal Results - Noise Level 1 87 Table 19 Longitudinal Signal-to-Noise Ratios - Maneuver 2a.. 91 ix Page Table 20 Longitudinal Signal-to-Noise Ratios - Maneuver 2b. 92 Table 21 Lateral-Directional Signal... Doublet (Maneuver 6b) 59 Figure 21 Longitudinal Results at Precision Level 1 63 Figure 22 Longitudinal Results at Precision Level 2 63 Figure 23 Longitudinal Results at Precision Level 3 64 Figure 24 Longitudinal Results at Precision Level 4 65 Figure...

Clark, James Matthew

2012-06-07T23:59:59.000Z

191

Figures xiii Preface xix  

E-Print Network (OSTI)

? 2 What Software Testing Is--and Isn't 3 What Is Different about Testing Object-Oriented Software? 5 Overview of Our Testing Approach 6 Test Early 7 Test Often 7 Test Enough 8 The Testing Perspective 8 #12;vi Contents Chapter 2 The Testing Perspective 15 Testing Perspective 15 Object-Oriented Concepts

McGregor, John D.

192

Figure 1. Top: Theoretical  

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

only electrodes and catalysts, but also interfaces for chemical separations, water desalination, materials synthesis and characterization, geologic and biological processes. Thus...

193

Cancer Facts & Figures - 2010  

National Nuclear Security Administration (NNSA)

heal, a lump or thickening, ear pain, a neck mass, coughing up blood, or a red or white patch that persists. Difficulties in chewing, swallowing, or moving the tongue or jaws are...

194

Reinforcing floodrisk estimation  

Science Journals Connector (OSTI)

...However, most ood-risk estimates support decisions...charac- ter. These are investment decisions, where the...current level of ood risk, making improvements...generated a national ood-risk map with a high political and societal impact...

2002-01-01T23:59:59.000Z

195

Estimation of resources and reserves  

E-Print Network (OSTI)

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

196

Figure 1: Top: Four interstation paths in the Paran Basin used for surface-wave analysis. (Three are  

E-Print Network (OSTI)

: The data misfit is calculated for the ns new models generated in step 2 and the procedure returns to step 2 velocity datum is a composite from up to four events, weighted by the inverse of the estimated variances cells of the first 100 points generated by the NA, and the bottom left panel shows the Voronoi cells

Sambridge, Malcolm

197

1-6 Figure 1.3. View of the field area, looking south-southwest. Left side of the picture shows the  

E-Print Network (OSTI)

Mountain massif. The Vermont Valley and the Tinmouth Valley are separated by a ridge along a fault (Pine of the Taconic Allochthon, with Dorset Mountains truncating the Valley. The base of Dorset Mountain contains. It is a gray weathering, medium bedded dolomite. (looking west) #12;#12;#12;#12;#12;#12;2-27 Figure 2

Kidd, William S. F.

198

Supplementary Figure 1: Bayesian 50% majority-rule consensus trees for the combined dataset of mitochondrial genes (left) and nuclear genes (right). Color coding distinguishes  

E-Print Network (OSTI)

1 Supplementary Figure 1: Bayesian 50% majority-rule consensus trees for the combined dataset of mitochondrial genes (left) and nuclear genes (right). Color coding distinguishes groups supported by PP 99 for individual nuclear genes: Rag-1, Rag-2 and C-mos. Color coding distinguishes groups supported by PP 99

199

Figure 1. Ankle behavior can be approximated by a linear torsional spring in the progression stage of the stance phase of normal gait.  

E-Print Network (OSTI)

Figure 1. Ankle behavior can be approximated by a linear torsional spring in the progression stage of the stance phase of normal gait. Abstract--In this paper we explore the mechanical behavior of the ankle in the progression stage of stance during normal walking. We show that the torque/angle behavior of the ankle during

Dollar, Aaron M.

200

Physics 305 Problem set 1 Due: Fri, Jan. 27, 2012 1) (a) Consider a thin slab of resistive material, as in the first figure, with resistivity and  

E-Print Network (OSTI)

Physics 305 Problem set 1 Due: Fri, Jan. 27, 2012 1) (a) Consider a thin slab of resistive material, as in the first figure, with resistivity and thickness d. Find the resistance of a square piece, with edge length covers each of the two faces. Show that it is independent of L. (This is the two-dimensional "resistivity

Ross, Joseph

Note: This page contains sample records for the topic "mfw estimates figures" from the National Library of EnergyBeta (NLEBeta).
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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

Figure 2 illustrates the proposed arrangement of the system value model for a given UAV design. The properties of the UAV system are split into five categories  

E-Print Network (OSTI)

Figure 2 illustrates the proposed arrangement of the system value model for a given UAV design. The properties of the UAV system are split into five categories: performance, acquisition cost, supportability of mission success minus the life-cycle-cost of the UAV system. This simplified value model accounts

Sóbester, András

202

Development of A Cryogenic Drift Cell Spectrometer and Methods for Improving the Analytical Figures of Merit for Ion Mobility-Mass Spectrometry Analysis  

E-Print Network (OSTI)

A cryogenic (325-80 K) ion mobility-mass spectrometer was designed and constructed in order to improve the analytical figures-of-merit for the chemical analysis of small mass analytes using ion mobility-mass spectrometry. The instrument incorporates...

May, Jody C.

2010-10-12T23:59:59.000Z

203

Assignment Carbon Footprints Name__Lachniet__ 1) See Figure 1.1a at the back of the assignment (from IPCC)  

E-Print Network (OSTI)

) How does the United States rank in terms of 'carbon intensity', the amount of emissions per capita, relative to other countries? The United States (and Canada) rank #1 in the highest 'carbon intensity' perAssignment Carbon Footprints Name__Lachniet__ 1) See Figure 1.1a at the back

Lachniet, Matthew S.

204

Supplementary Figure 1| Neutron diffraction data at 86 % relative humidity. a) Schematic representation of neutron diffraction geometry for -2 scans. Diffraction data are obtained  

E-Print Network (OSTI)

distributions of lipid and protein under varying levels of hydration. Predicted neutron scattering profiles as number density profiles weighted by the neutron scattering lengths of individual atoms, then symmetrizedSupplementary Figure 1| Neutron diffraction data at 86 % relative humidity. a) Schematic

White, Stephen

205

Design and Simulation for Architectural Geometry Figure 1: Daytime and nighttime scenes of designed roof by using the developed computational tools  

E-Print Network (OSTI)

roof by using the developed computational tools 031.PDF Keywords: Architectural Geometry, Procedural an innovative computational design tool used to edit architectural geometry interactively and demonstratesDesign and Simulation for Architectural Geometry Figure 1: Daytime and nighttime scenes of designed

206

ProClim-Flash | No 57, June 201318 Figure 1: Swiss CH4 fluxes from (a) anthropogenic (agriculture, energy, waste) and (b) natural contributors (wetlands, lakes and  

E-Print Network (OSTI)

April 2013 under the United Nations Framework Convention on Climate Change and under the Kyoto Protocol layers representing CH4 emissions from wastewater treatment and natural sources and sinks (Figure 1b by the CCES projects ENHANCE, www.cces.ethz.ch/ projects/sulu/ENHANCE, and BioChange, www.cces.ethz.ch/projects/clench/BioChange

207

FIGURE 2. -Immunodiffusion comparison of Vibrio anguil-larum 775 and Vibrio sp. 1669. Wells I, 3, and 5 contain V. an-  

E-Print Network (OSTI)

4 FIGURE 2. -Immunodiffusion comparison of Vibrio anguil- larum 775 and Vibrio sp. 1669. Wells I, 3, and 5 contain V. an- guillarum 775 sonicate and wells 2, 4, and 6 contain Vibrio sp. 1669 sonicate disease in young salmon. J. Compo Patho!' 77;419-423. RUCKER, R. R. 1959. Vibrio infections among marine

208

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network (OSTI)

18 Figure 6 Primary Energy Consumption by End-Use in24 Figure 7 Primary Energy Consumption by Fuel in Commercialbased on total primary energy consumption (source energy),

Fridley, David G.

2008-01-01T23:59:59.000Z

209

7 - Estimation of Radiation Doses  

Science Journals Connector (OSTI)

Abstract Radiation doses to the Japanese population from inhalation of contaminated air, external irradiation, terrestrial and marine food contamination are estimated and compared with other sources of anthropogenic (global fallout, Chernobyl accident), natural (radionuclides in food, cosmic radiation) and medical applications (X-ray tests, CT-tests, etc.) of ionizing radiation. The estimated doses from inhalation, ingestion of terrestrial and marine food, and radiation exposure from radioactive clouds and deposited radionuclides were generally below the levels which could cause health damage of the Japanese population, as well as of the world population. The estimated total radiation doses to fish and shellfish in coastal waters during the largest radionuclide releases were by a factor of 10 lower than the baseline safe level postulated for the marine organisms, therefore no harmful effects are expected for the marine ecosystem as well.

Pavel P. Povinec; Katsumi Hirose; Michio Aoyama

2013-01-01T23:59:59.000Z

210

Estimated Cost Description Determination Date:  

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

and posted 2/10/2011 and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-11 Estimated Schedule (**NEPA Milestones) South Carolina Department of Health and Environmental Control (SCDHEC) issued a National Pollutant Discharge Elimination System (NPDES) Industrial Stormwater General Permit (IGP) # SCR000000 November 12, with an effective date of January

211

Estimate sequence methods: extensions and approximations  

E-Print Network (OSTI)

Aug 11, 2009 ... Estimate sequence methods: extensions and approximations ... or both, and draw some guidelines on the design of further estimate sequence...

Michel Baes

2009-08-11T23:59:59.000Z

212

BPA Metering Services Editing and Estimating Procedures  

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

Editing and Estimating Interval Data 1. Introduction This section defines the meter interval data editing and estimation techniques performed by BPA's Metering Services...

213

ORISE: Radiation Dose Estimates and Other Compendia  

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

downloaded free from the Adobe website. Early Internal and External Dose Magnitude Estimation (PDF) This article addresses methods that can be used to rapidly estimate internal...

214

Mississippi Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Mississippi Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

215

California Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) California Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

216

Pennsylvania Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Pennsylvania Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

217

Estimating Waste Inventory and Waste Tank Characterization |...  

Office of Environmental Management (EM)

Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue...

218

GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process  

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

GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define program characteristics In a technical baseline description document, identify the program's

219

Figures and Data Plots from the Published Papers of the BELLE Experiment at the KEK - B Factory  

DOE Data Explorer (OSTI)

This resource provides more than 300 citations to preprints and papers with the figures from each one pulled out separately for easy access and downloading. These are physics publications. Be sure to also see the page of Technical Journal publications at http://belle.kek.jp/belle/bellenim/index.htm and the lists of conference presentations from 2000 through 2009. Belle is a high-energy physics (HEP) experiment that began in 1999 at the KEK B-factory in Japan under the direction of the international Belle Collaboration. The original Letter of Intent from the Collaboration stated their scientific goal as follows:

The laws of nature have a high degree of symmetry between matter and antimatter; violations of this symmetry, the so-called CP violations, are only seen as a small effect in the decays of neutral K mesons. Although experimental evidence for CP violation was first observed 30 years ago, we still do not understand how they occur. In 1973, Kobayashi and Maskawa (KM) noted that CP violation could be accommodated in the Standard Model only if there were at least six quark flavors, twice the number of quark flavors known at that time. The KM model for CP violation is now considered to be an essential part of the Standard Model. In 1980, Sanda and Carter pointed out that the KM model contained the possibility of rather sizable CP violating asymmetries in certain decay modes of the B meson. The subsequent observation of a long b quark lifetime and a large amount of mixing in the neutral B meson system indicated that it would be feasible to carry out decisive tests of the KM model by studying B meson decays. Our collaboration has been formed around the common interest of clarifying the long standing physics puzzle of CP violation. Our goal is to make a definitive test of the Standard Models predictions for CP violations in the decays of B mesons. [Copied, with editing, from Letter of Intent (KEK-Report94-2, April 1994); see http://belle.kek.jp/bdocs/old_publication.html and open the Letter of Intent file]

That original Belle experiment verified the KM theory, leading to a Nobel prize in 2008 for Kobayashi and Maskawa. Belle II Collaboration is now working on additional discoveries.

None

220

Estimate Greenhouse Gas Emissions by Building Type  

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

Starting with the programs contributing the greatest proportion of building greenhouse gas (GHG) emissions, the agency should next determine which building types operated by those programs use the most energy (Figure 1). Energy intensity is evaluated instead of emissions in this approach because programs may not have access to emissions data by building type.

Note: This page contains sample records for the topic "mfw estimates figures" 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

Cost Estimates for New Molecules  

Science Journals Connector (OSTI)

Cost Estimates for New Molecules ... Once this has been carried out, the projected cost/kilogram for the new drug substance (if only raw material costs and no manufacturing/overhead/labour costs are considered) may well come down by a factor of 10 or even 100, and this is often more acceptable to management trying to make strategic decisions about potential profitability. ...

Trevor Laird

2005-02-22T23:59:59.000Z

222

Characterization Of State Estimation Biases  

Science Journals Connector (OSTI)

The control and operation of an electric power system is based on the ability to determine the state of the system in real time. State estimation (SE) has been introduced in the 1960s to achieve this objective. The initial implementation was based on ...

A. P. Sakis Meliopoulos; George K. Stefopoulos

2006-01-01T23:59:59.000Z

223

Trades Estimate Guide September, 2013  

E-Print Network (OSTI)

labor hours are provided using "industry standard" hours. Each trade has an hourly recharge rate. Here are a few examples of why our shops estimates may be considered high. HVAC & SHEET METAL · In the HVAC area. This work can include: required engineering and design, new HVAC equipment to accommodate design

Rose, Michael R.

224

ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS  

E-Print Network (OSTI)

Chapter 1 ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS: RANDOMIZED VS. DETERMINISTIC ALGORITHMS difficult or even impossible to directly measure the quantity in which we are interested: e.g., we cannot directly measure a distance to a distant galaxy or the amount of oil in a given well. Since we cannot

Kreinovich, Vladik

225

2012 Proved Reserves Estimation Methodology  

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

-366 11,933 Estimated 818 124 759 0 0 19 0 0 236 1,693 1,658 Imputation for nonresponse Unit and item nonresponse on the EIA-23 is imputed for using the same ratio function that is...

226

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED  

E-Print Network (OSTI)

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED TOMOGRAPHY DATA A. López (a) , R. Molina (b) (a limited due to several factors. These factors include the need of greater computational time than to the projection data to obtain two-dimensional slices or cross sections (images) of activity distribution. #12

Granada, Universidad de

227

Enhancements to the Passer II-90 delay estimation procedures  

E-Print Network (OSTI)

was not there. He was the one who reminded me of all the deadlines and kept me on my toes. Srinivas Meherji Sangineni (Meka) helped with AutoCAD figures in my thesis and I am really grateful to him for the figures and also for being with me all the time. vn... was not there. He was the one who reminded me of all the deadlines and kept me on my toes. Srinivas Meherji Sangineni (Meka) helped with AutoCAD figures in my thesis and I am really grateful to him for the figures and also for being with me all the time. vn...

Malakapalli, Meher Prasad

2012-06-07T23:59:59.000Z

228

Estimating Hydrogen Demand Distribution Using Geographic Information Systems (GIS)  

E-Print Network (OSTI)

in the application of GIS to the study of environmental13) Figure 13 Interaction between GIS and Optimization ofEngineer Joshua Johnson 2 , GIS Specialist Institute of

Ni, Jason; Johnson, Nils; Ogden, Joan M; Yang, Christopher; Johnson, Joshua

2005-01-01T23:59:59.000Z

229

Figure 1. The wet area is flooded by damming up a small stream adjacent to the study area once a year for a period of 2-3 months. By  

E-Print Network (OSTI)

Figure 1. The wet area is flooded by damming up a small stream adjacent to the study area once. Figure 1.g The wet area is flooded by damming up a small streamded by damming up a smded by damwet area Vegetation data are obtained from two ri- parian grassland sites with strong hydro- logical gradients

Schierup, Mikkel Heide

230

Review Problems 2-72 The deflection of the spring of the two-piston cylinder with a spring shown in the figure is to be  

E-Print Network (OSTI)

2-31 Review Problems 2-72 The deflection of the spring of the two-piston cylinder with a spring shown in the figure is to be determined. Analysis Summing the forces acting on the pistonN/m, the pressures in kPa (i.e., kN/m2 ) and the diameters in m units. 2-73 The pressure in chamber 1 of the two-piston

Bahrami, Majid

231

Transformation of point rainfall to areal rainfall by estimating areal reduction factors, using radar data, for Texas  

E-Print Network (OSTI)

Figure 11. Texas Regions Chart TPWD, 2004, Austin..................................................... 80 Figure 12. Region 1 ? Panhandle Plains........................................................................... 81 Figure 13. Region 2 ? Prairies...........119 Figure 33. Variation of RS1 for (a) 1996 (b) 1997 (c) 1998 (d) 1999 (e) 2000 (f) 2001 (g) 2002 (h) 2003 (i) 2004. .......................................................................... 120 Figure 34. Scatter Plots for Region 1 (a) RS1 and RC1 (b...

Gill, Tarun Deep

2005-08-29T23:59:59.000Z

232

Measurement enhancement for state estimation  

E-Print Network (OSTI)

, the control center receives the system-wide device information and measurement data through the Supervisory Control and Data Acquisition (SCADA) system. However, the information and measurement data provided by SCADA may not always be accurate and reliable... estimation use the measurement data from SCADA system, the status information about the circuit breakers (CB), switches and transformer taps, as well as the parameters of transmission lines, transformers, shunts capacitors/reactors and other devices...

Chen, Jian

2009-05-15T23:59:59.000Z

233

Solar sky radiation estimation techniques  

SciTech Connect

Empirical correlations suggested by various authors, for estimating monthly mean daily diffuse irradiation, are compared statistically to test their applicability to the southern African region. The correlations are compared by calculating root mean square error, mean bias error and mean percentage error. The correlations suggested by Gopinathan and Gladius Lewis are found to be most accurate for the southern African region. Equations suggested by Iqbal give poor results and cannot be employed for the region.

Gopinathan, K.K. (National Univ. of Lesotho, Roma (South Africa))

1992-07-01T23:59:59.000Z

234

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

235

Estimation of Density of Biodiesel  

Science Journals Connector (OSTI)

In addition, the numeric value for coefficient e is very small (?0.00001) and the nd(ave) of most biodiesels are not greater than 2. Therefore, the product of e nd(ave) can be neglected without affecting the accuracy of the calculation and eq 30 is good for estimation of density of biodiesel. ... Interestingly, the %AAD for mixed biodiesel (0.38) is lower than those of pure (0.41%) and total biodiesels. ... (21) The model cannot differentiate a mixed biodiesel from pure biodiesels. ...

Suriya Phankosol; Kaokanya Sudaprasert; Supathra Lilitchan; Kornkanok Aryusuk; Kanit Krisnangkura

2014-06-16T23:59:59.000Z

236

Motor cortex activation by H-coil and figure-8 coil at different depths. Combined motor threshold and electric field distribution study  

Science Journals Connector (OSTI)

AbstractObjective To compare the ability of an H-coil and figure-8 coil to stimulate different motor cortex regions. Methods The resting (rMT) and active (aMT) motor thresholds were measured for the right hand APB and leg AHB muscles in 10 subjects, using an H-coil and a figure-8 coil. The electric field distribution induced by the coils was measured in a head model. The combination of the hand and leg \\{MTs\\} with the field measurements was used to determine the depth of hand and leg motor areas via the intersection points. Results The rMT and aMT of both APB and AHB were significantly lower for the H-coil. The ratio and difference between the leg and hand rMT and aMT were significantly lower for the H-Coil. Electric field measurements revealed significantly more favorable depth profile and larger volume of stimulation for the H-coil. The averaged intersection for the APB was at a distance from coil of 1.830.54cm and at an intensity of 97.821.4V/m, while for the AHB it was at a distance of 2.730.44cm and at an intensity of 118.621.3V/m. Conclusion The results suggest a more efficient activation of deeper motor cortical regions using the H-coil. Significance The combined evaluation of \\{MTs\\} by H- and figure-8 coils allows measurement of the individual depth of different motor cortex regions. This could be helpful for optimizing stimulation parameters for TMS treatment.

Yiftach Roth; Gaby S. Pell; Andrei V. Chistyakov; Alon Sinai; Abraham Zangen; Menashe Zaaroor

2014-01-01T23:59:59.000Z

237

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation  

E-Print Network (OSTI)

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation Chapter 3 University of Amsterdam #12;Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information

Dorst, Leo

238

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network (OSTI)

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory% postconsumer waste #12;i Independent Review Panel Summary Report September 28, 2011 From: Independent Review Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE

239

Harmonizing Systems and Software Cost Estimation  

E-Print Network (OSTI)

The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...

Wang, Gan

2009-07-19T23:59:59.000Z

240

Challenges in estimating waste confinement costs  

SciTech Connect

This paper presents a systems analysis framework for cost estimating and outlines the challenges likely to be confronted during the cost estimating and data base development process. 1 ref., 8 figs.

Rivera, A.L.

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "mfw estimates figures" 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

On coherence in parametric density estimation  

Science Journals Connector (OSTI)

......1990 research-article Miscellanea On coherence in parametric density estimation J...KullbackLeibler directed divergence has this coherence property whereas the corresponding symmetric...estimation is also discussed. Admissibility|Coherence|Kullback-Leibler divergence|Predictive......

J. AITCHISON

1990-12-01T23:59:59.000Z

242

Estimating UV Index Climatology over Canada  

Science Journals Connector (OSTI)

Hourly UV index values at 45 sites in Canada were estimated using a statistical relationship between UV irradiance and global solar radiation, total ozone, and dewpoint temperature. The estimation method also takes into account the enhancement of ...

V. E. Fioletov; J. B. Kerr; L. J. B. McArthur; D. I. Wardle; T. W. Mathews

2003-03-01T23:59:59.000Z

243

Cost Model and Cost Estimating Software  

Directives, Delegations, and Requirements

This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

1997-03-28T23:59:59.000Z

244

Highly Automated Dipole EStimation , A. Pascarella2  

E-Print Network (OSTI)

filter, HADES (Highly Automatic Dipole EStimation). HADES is an open-source, freely downloadable, Matlab-based

Piana, Michele

245

Statistical Exposure Estimation Spatial Confounding Bias  

E-Print Network (OSTI)

, and 3 Account for spatial correlation in the health outcome data. Applications include air pollution Epidemiology Estimates of chronic health effects of air pollution are identified from cross-sectional (i Exposure Estimation Methods for Air Pollution Often researchers estimate ambient concentrations and use

Paciorek, Chris

246

Risk Estimation; Background Radiation (Natural and Artificial )  

E-Print Network (OSTI)

-threshold mode estimate the response at lower doses. · The Committee on Biological Effects of Ionizing RadiationModule 9 Risk Estimation; Background Radiation (Natural and Artificial ) · sources of background radiation · various risk models. · estimating risk and on the sources of background radiation, both

Massey, Thomas N.

247

Estimated Ultraviolet Radiation Doses in Wetlands in  

E-Print Network (OSTI)

Estimated Ultraviolet Radiation Doses in Wetlands in Six National Parks Stephen A. Diamond,1 ABSTRACT Ultraviolet-B radiation (UV-B, 280­320-nm wave- lengths) doses were estimated for 1024 wetlands of vegetative features, and quantification of DOC concentration and spectral absorbance. UV-B dose estimates

Knapp, Roland

248

2001 Geological Society of America. For permission to copy, contact Copyright Clearance Center at www.copyright.com or (978) 750-8400. Geology; July 2001; v. 29; no. 7; p. 623626; 3 figures; Data Repository item 2001069. 623  

E-Print Network (OSTI)

of these episodes is highly depleted in 18O compared to modern speleothems. The 18O values for calcite deposited, uranium-series method. Figure 1. Map showing location of Hoti Cave (star) and generalized modern, summer

Massachusetts at Amherst, University of

249

Estimated Cost Description Determination Date:  

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

Title, Location Title, Location Estimated Cost Description Determination Date: 2010 LCLS Undulator 2 is envisioned to be a 0.2 - 2keV FEL x-ray source, capable of delivering x-rays to End Station A (ESA), located in the existing Research Yard at SLAC. It will also be configurable as a non- FEL hard x-ray source capable of delivering a chirped x-ray pulse for single-shot broad-spectrum measurements. The project would entail reconstruction of the electron beam transport to End Station A, construction and installation of a new undulator in the tunnel upstream of ESA and beam dump, and construction and installation of x-ray transport, optics, and diagnostics in ESA. It also includes the construction of an annex to End Station A , providing hutches for experiment stations.

250

KvAP1ORQ MthK3LDC Kv12R9R Supplementary Figure S1: Detailed view of TPenA docked into the 3 bestfit  

E-Print Network (OSTI)

of K2P channel block shown in Figure 1. Piechotta et al. Supplementary Information C2 TEA C4 TButA C5 TPenA C6 THexA C7 THepA C8 TOctA #12;Piechotta et al. Supplementary Information Supplementary Figure been published previously; a Milacet al(2011) b Treptow& Klein (2010). KvAP1ORQKv12R9RMthK3LDCKcsA3FB6

Tucker, Stephen J.

251

Zevenhoven & Kilpinen CROSS EFFECTS, TOTAL SYSTEM LAY-OUT 13.6.2001 10-1 Figure 10.1 Typical pulverised coal combustion and gas clean-up system: dry scrubber +  

E-Print Network (OSTI)

pulverised coal combustion and gas clean-up system: dry scrubber + baghouse filter for SO2 and particulate For a conventional pulverised coal-fired power plant a set-up is shown in Figure 10.1, with a gas clean-up system scrubber (pH ~ 6) 60 - 70 7 Re-heater 350 - 400 8 SCR DeNOx 300 - 400 9 Active coke bed 100 - 150 Figure 10

Zevenhoven, Ron

252

Survival Estimates for the Passage of Spring-Migrating Juvenile Salmonids through Snake and Columbia River Dams and Reservoirs, 2000 Annual Report.  

SciTech Connect

In 2000, the National Marine Fisheries Service and the University of Washington completed the eight year of a study to estimate survival of juvenile salmonids (Oncorhynchus spp.) passing through dams and reservoirs on the Snake and Columbia Rivers. A total of 20,313 hatchery steelhead were tagged with passive integrated transpoder (PIT) tags and released at Lower Granite Dam for reach survival estimation. They did not PIT tag any yearlying chinook salmon (O. tshawytscha) for reach survival estimates in 2000 because sufficient numbers for these estimates were available from other studies. Primary research objectives in 2000 were (1) to estimate reach and project survival in the Snake and Columbia Rivers throughout the yearling chinook salmon and steelhead migrations, and (2) to evaluate the survival-estimation models under prevailing conditions. In addition, they estimated survival from point of release to Lower Granite Dam and below for chinook salmon, steelhead, and sockeye salmon (O.nerka) PIT tagged and released at Snake River basin hatcheries and chinook salmon and steelhead PIT tagged and released at Snake River basin hatcheries and chinook salmon and steelhead PIT tagged and released at Snake River basin smolt traps. This report provides reach survival and travel time estimates for 2000 for PIT-tagged yearling chinook salmon and steelhead (hatchery and wild) in the Snake and Columbia Rivers. Results are reported primarily in the form of tables and figures. Further details on methodology and statistical models used are provided in previous reports cited in the text.

Zabel, Richard; Smith, Steven G.; Muir, William D. (Northwest and Alaska Fisheries Science Center, Fish Ecology Division, Seattle, WA)

2001-02-01T23:59:59.000Z

253

Site characterization: a spatial estimation approach  

SciTech Connect

In this report the application of spatial estimation techniques or kriging to groundwater aquifers and geological borehole data is considered. The adequacy of these techniques to reliably develop contour maps from various data sets is investigated. The estimator is developed theoretically in a simplified fashion using vector-matrix calculus. The practice of spatial estimation is discussed and the estimator is then applied to two groundwater aquifer systems and used also to investigate geological formations from borehole data. It is shown that the estimator can provide reasonable results when designed properly.

Candy, J.V.; Mao, N.

1980-10-01T23:59:59.000Z

254

Incremental condition estimation for sparse matrices  

SciTech Connect

Incremental condition estimation provides an estimate for the smallest singular value of a triangular matrix. In particular, it gives a running estimate of the smallest singular value of a triangular factor matrix as the factor is generated one column or row at a time. An incremental condition estimator for dense matrices was originally suggested by Bischof. In this paper this scheme is generalized to handle sparse triangular matrices, especially those that are factors of sparse matrices. Numerical experiments on a variety of matrices demonstrate the reliability of this scheme in estimating the smallest singular value. A partial description of its implementation in a sparse matrix factorization code further illustrates its practicality.

Bischof, C.H. (Argonne National Lab., IL (United States)); Lewis, J.G.; Pierce, D.J. (Boeing Computer Servies, Seattle, WA (United States))

1990-10-01T23:59:59.000Z

255

Parameter estimation from flowing fluid temperature logging data in unsaturated fractured rock using multiphase inverse modeling  

E-Print Network (OSTI)

Drift Scale Test at Yucca Mountain, Nevada, J. of Contam.the Drift Scale Test at Yucca Mountain Figure 1a. Figure 1b.pneumatic response at Yucca Mountain, Journal of Contaminant

Mukhopadhyay, S.

2009-01-01T23:59:59.000Z

256

Influence of samarium on the thermoelectric figure of merit of Sm{sub x}Pb{sub 1-x}Te alloys  

SciTech Connect

The temperature and concentration dependences of the electrical (conductivity {sigma}, the Hall coefficient R), thermoelectric (thermovoltage {alpha}), and thermal (thermal conductivity K{sub tot}) characteristics of Sm{sub x}Pb{sub 1-x}Te alloys (x = 0, 0.02, 0.04, 0.08) are studied in the temperature range 100-500 K. Using the data for {sigma}, {alpha}, and K{sub tot}, the thermoelectric power {alpha}{sup 2}{sigma}, figure of merit Z, and efficiency {delta} are calculated. It is established that at room-temperature {alpha}{sup 2}{sigma} and Z peak at the hole concentration p Almost-Equal-To 1.2 Multiplication-Sign 10{sup 18} cm{sup -3}.

Aliev, F. F., E-mail: farzali@physics.ab.az; Hasanov, H. A., E-mail: hummat.hasanov@gmail.com [Academy of Sciences of Azerbaijan, Institute of Physics (Azerbaijan)

2012-03-15T23:59:59.000Z

257

GAO Cost Estimating and Assessment Guide | Department of Energy  

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

Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft Word...

258

DOE Challenge Home Savings and Cost Estimate Summary | Department...  

Energy Savers (EERE)

Savings and Cost Estimate Summary DOE Challenge Home Savings and Cost Estimate Summary The U.S. Department of Energy Challenge Home Savings and Cost Estimate Summary, November...

259

Estimating heat of combustion for waste materials  

SciTech Connect

Describes a method of estimating the heat of combustion of hydrocarbon waste (containing S,N,Q,C1) in various physical forms (vapor, liquid, solid, or mixtures) when the composition of the waste stream is known or can be estimated. Presents an equation for predicting the heat of combustion of hydrocarbons containing some sulfur. Shows how the method is convenient for estimating the heat of combustion of a waste profile as shown in a sample calculation.

Chang, Y.C.

1982-11-01T23:59:59.000Z

260

State energy data report 1994: Consumption estimates  

SciTech Connect

This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

NONE

1996-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "mfw estimates figures" 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

A robustness application for linear estimation  

E-Print Network (OSTI)

, recursive algorithm for yielding estimates of the state of a linear dynamic system (see, for example, the excellent tutorial [1]). Many other applications of this estimation scheme exist in the areas of signal processing, power systems, telecommunications... on robustness causes the coefficient which maximizes J to approach the coefficient which produces maximum robustness. 37 REFERENCES [1] I. B. Rhodes, "A Tutorial Introduction to Estimation and Filtering, "IEEE Trans. on Automatic Control, vol. AC-16, pp...

Kitzman, Kenneth Victor

1990-01-01T23:59:59.000Z

262

Convergence Estimates of Multilevel Additive and Multiplicative ...  

E-Print Network (OSTI)

Dec 7, 1993 ... Ming-Hsiung, Chia-Yi 621, Taiwan. New uniform estimates for multigrid algorithms are established for certain non-symmetric indefinite prob-.

2005-04-06T23:59:59.000Z

263

ARM - Lesson Plans: Estimating Local Sea Level  

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

Lesson Plans Lesson Plans: Estimating Local Sea Level Objective The objective is to train students' skills in observing the local environment based upon the sea level...

264

Improved diagnostic model for estimating wind energy  

SciTech Connect

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

265

Quantum Process Estimation with an Unknown Detector  

Science Journals Connector (OSTI)

We present an operational approach to quantum process estimation, where the detector response is characterized directly by a set of probe states. Numerical simulations are presented...

Karpinski, Michal; Cooper, Merlin; Smith, Brian J

266

Fast Algorithms for the Minimum Volume Estimator  

E-Print Network (OSTI)

Abstract: The MVE estimator is an important tool in robust regression and outlier detection in statistics. We develop fast and efficient algorithms for the MVE...

S D Ahipasaoglu

267

U.S. Uranium Reserves Estimates  

Gasoline and Diesel Fuel Update (EIA)

The initial uranium property reserves estimates were based on bore hole radiometric data validated by chemical analysis of samples from cores and drill cuttings. The...

268

Thermal Hydraulic Simulations, Error Estimation and Parameter  

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

Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M. Wildey Sandia National...

269

Recoverable Resource Estimate of Identified Onshore Geopressured...  

Office of Scientific and Technical Information (OSTI)

Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana AAPG 2012 Annual Convention and Exhibition Ariel Esposito and Chad...

270

Guidelines for Estimating Unmetered Landscaping Water Use  

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

Document describes the step-by-step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method.

271

Cost Estimating Handbook for Environmental Restoration  

SciTech Connect

Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

NONE

1990-09-01T23:59:59.000Z

272

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network (OSTI)

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density...

Chang, Meng-Shiuh

2012-10-19T23:59:59.000Z

273

Hybrid Estimation of CMB Polarization Power Spectra  

E-Print Network (OSTI)

This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation. The hybrid power spectrum estimator is unbiased and we show that it is close to optimal at all multipoles, provided the pixel noise satisfies certain reasonable constraints. Furthermore, the hybrid estimator is computationally fast and can easily be incorporated in a Monte-Carlo chain for Planck-sized data sets. Simple formulae are given for the covariance matrices, including instrumental noise, and these are tested extensively against numerical simulations. We compare the behaviour of simple pseudo-Cell estimates with maximum likelihood estimates at low multipoles. For realistic sky cuts, maximum likelihood estimates reduce very significantly the mixing of E and B modes. To achieve limits on the scalar-tensor ratio of r<<0.1 from sky maps with realistic sky cuts, maximum likelihood methods, or pseudo-Cell estimators based on unambiguous E and B modes, will be essential.

G. Efstathiou

2006-01-05T23:59:59.000Z

274

Reservation Price Estimation by Adaptive Conjoint Analysis  

E-Print Network (OSTI)

Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

Schmidt-Thieme, Lars

275

MATLAB Functions for Profiled Estimation of  

E-Print Network (OSTI)

MATLAB Functions for Profiled Estimation of Differential Equations Giles Hooker June 23, 2010: . . . . . . . . . . . . . . . . . . . 5 2 Example: FitzHugh-Nagumo Equations 5 3 MATLAB Objects Needed for the Estimation. 6 3.1 Cell is designed to accompany a Matlab software package that esti- mates the parameters in differential equation

Keinan, Alon

276

Systematic Approach for Decommissioning Planning and Estimating  

SciTech Connect

Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.

Dam, A. S.

2002-02-26T23:59:59.000Z

277

Estimating Motor Efficiency in the Field  

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

Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency.

278

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable) costs apply

Boisvert, Jeff

279

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408 ­ off-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable

Boisvert, Jeff

280

5 SAMPLING TO ESTIMATE SPATIAL PATTERN  

Science Journals Connector (OSTI)

......be chosen to average out uninformative...range over their home territory and...pooled before consumption and thus reflect...estimation of average, maximum or...in a specific energy window, which...estimate the average over the entire...exposure via milk consumption of radionuclides......

5 SAMPLING TO ESTIMATE SPATIAL PATTERN

2006-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "mfw estimates figures" 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

Power estimation technique for DSP architectures  

Science Journals Connector (OSTI)

The main goal of power estimation is to optimize the power consumption of a electronic design. Power is a strongly pattern dependent function. Input statistics greatly influence on average power. We solve the pattern dependence problem for intellectual ... Keywords: DSP architecture, Digital filter, Intellectual property, Macromodel, Monte Carlo simulation, Power estimation

Yaseer A. Durrani; Teresa Riesgo

2009-03-01T23:59:59.000Z

282

Density Estimation Trees in High Energy Physics  

E-Print Network (OSTI)

Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.

Anderlini, Lucio

2015-01-01T23:59:59.000Z

283

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network (OSTI)

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview model description (e.g., the 1 #12;2 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES extended Kalman

Bernard, Olivier

284

Figure 12 Vehicle tracking Figure 11 Pedestrian tracking  

E-Print Network (OSTI)

-finders, infra-red obstacle detectors, GPS, Forward Looking Infra-Red (FLIR), microwave, etc. provide other

Brandt, Scott A.

285

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

CHP Emissions Reduction Estimator CHP Emissions Reduction Estimator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CHP Emissions Reduction Estimator Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/chp/basic/calculator.html Country: United States UN Region: Northern America CHP Emissions Reduction Estimator Screenshot References: http://www.epa.gov/chp/basic/calculator.html "This Emissions Estimator provides the amount of reduced emissions in terms of pounds of CO2, SO2, and NOX based on input from the User regarding the CHP technology being used. In turn the User will be provided with

286

How the Carbon Emissions Were Estimated  

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

How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated Carbon dioxide emissions are the main component of greenhouse gas emissions caused by human activity. Carbon dioxide is emitted mostly as a byproduct of the combustion of fossil fuels for energy, although certain industrial processes (e.g., cement manufacture) also emit carbon dioxide. The estimates of energy-related carbon emissions require both data on the energy use and carbon emissions coefficients relating energy use to the amount of carbon emitted. The Energy Information Administration (EIA) is the main source of data on U.S. energy use. Emissions of Greenhouse Gases in the United States 1998 used annual data provided by energy suppliers. However, to obtain more detail on how different sectors use energy, the emissions estimates in Energy and GHG Analysis rely data from on surveys of energy users, such as manufacturing establishments and commercial buildings.

287

New approaches to estimation of magnetotelluric parameters  

SciTech Connect

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the dead band'' (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-01-01T23:59:59.000Z

288

Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon...  

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

Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Abstract: Many...

289

Evaluation of solar radiation estimation methods for reference evapotranspiration estimation in Canada  

Science Journals Connector (OSTI)

The accuracy of nine solar radiation (R s ) estimation models and their effects on reference evapotranspiration (ET o ...)...

Olanike O Aladenola; Chandra A Madramootoo

2013-12-01T23:59:59.000Z

290

Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength  

E-Print Network (OSTI)

1 Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent-strength reliability by assuming the Burr-XII distribution. The research methodology adopted here is to estimate. By using real data sets we well illustrate the procedure. Key Words: Burr-XII distribution, reliability

Kundu, Debasis

291

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 (Million Cubic Feet) Supplemental Data From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 42,411 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Algeria Canada Canada i i N g e r a Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and the Office of Fossil Energy, Natural Gas Imports and Exports. Energy Information Administration / Natural Gas Annual 2006 253,214 690,780 634,185 658,523 134,764 63,063 526,726 121,049 34,531 492,655 101,101 23,154 40,113 1,496,283 68,601

292

Microsoft Word - figure_18.doc  

Gasoline and Diesel Fuel Update (EIA)

2 2 0 2 4 6 8 10 12 14 16 2005 2006 2007 2008 2009 0 40 80 120 160 200 240 280 320 360 400 440 Residential Commercial Industrial Electric Power Vehicle Fuel 0 2 4 6 8 1 0 1 2 1 4 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 Notes: Coverage for prices varies by consumer sector. Prices are in nominal dollars. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Federal Energy Regulatory Commission (FERC) Form 423, "Monthly Report of Cost and Quality of Fuels for Electric Plants"; Form EIA-423, "Monthly Cost and Quality of Fuels for Electric Plants Report"; Form EIA-923, "Power Plant Operations Report"; and Form EIA-910, "Monthly Natural Gas

293

Microsoft Word - figure_19.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 0 2 4 6 8 10 12 14 16 2006 2007 2008 2009 2010 0 40 80 120 160 200 240 280 320 360 400 440 Residential Commercial Industrial Electric Power V ehicle Fuel 0 2 4 6 8 1 0 1 2 1 4 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 Notes: Coverage for prices varies by consumer sector. Prices are in nominal dollars. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Federal Energy Regulatory Commission (FERC) Form 423, "Monthly Report of Cost and Quality of Fuels for Electric Plants"; Form EIA-423, "Monthly Cost and Quality of Fuels for Electric Plants Report"; Form EIA-923, "Power Plant Operations Report"; and Form EIA-910, "Monthly Natural Gas

294

Microsoft Word - figure_18.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2 4 6 8 10 12 14 16 2002 2003 2004 2005 2006 Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 360 400 440 Dollars per Thousand Cubic Meters Residential Commercial Industrial Electric Power Vehicle Fuel 0 2 4 6 8 1 0 1 2 1 4 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 Note: Coverage for prices varies by consumer sector. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Federal Energy Regulatory Commission (FERC) Form 423, "Monthly Report of Cost and Quality of Fuels for Electric Plants"; and Form EIA-910, "Monthly Natural Gas Marketer Survey."

295

Microsoft Word - Figure_11.doc  

Gasoline and Diesel Fuel Update (EIA)

36 Electric Power 0 1 2 3 4 5 6 T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Industrial 0 1 2 3 4 5 6 T e x a s C a l i f o r n i a L o u i s i a n a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Commercial 0 1 2 3 4 5 6 N e w Y o r k C a l i f o r n i a I l l i n o i s A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Residential 0 1 2 3 4 5 6 C a l i f o r n i a I l l i n o i s N e w Y o r k A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 Billion Cubic Meters Note: Vehicle fuel volume for 2004 was 20,514 million cubic feet. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-906, "Power Plant Report"; Form EIA-886, "Annual Survey of Alternative Fueled Service Vehicle Suppliers and Users";

296

Figure2b.eps  

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

Coulomb-hole Coulomb-hole summations and energies for GW calculations with limited number of empty orbitals: a modified static remainder approach Jack Deslippe, 1 Georgy Samsonidze, 1 Manish Jain, 1 Marvin L. Cohen, 1 and Steven G. Louie 1 1 Department of Physics, University of California at Berkeley, California 94720 and Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (Dated: December 4, 2011) Abstract Ab initio GW calculations are a standard method for computing the spectroscopic properties of many materials. The most computationally expensive part in conventional implementations of the method is the generation and summation over the large number of empty orbitals required to converge the electron self energy. We propose a scheme to reduce the summation over empty states by the use of a modified static-remainder approximation, which

297

Microsoft Word - figure_19.doc  

Gasoline and Diesel Fuel Update (EIA)

63 63 0 2 4 6 8 10 12 14 16 2007 2008 2009 2010 2011 Residential Commercial Industrial Electric Power Vehicle Fuel Notes: Coverage for prices varies by consumer sector. Prices are in nominal dollars. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Federal Energy Regulatory Commission (FERC) Form 423, "Monthly Report of Cost and Quality of Fuels for Electric Plants"; Form EIA-423, "Monthly Cost and Quality of Fuels for Electric Plants Report"; Form EIA-923, "Power Plant Operations Report"; and Form EIA-910, "Monthly Natural Gas Marketer

298

Microsoft Word - figure_18.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2 4 6 8 10 12 14 16 2003 2004 2005 2006 2007 Nominal Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 360 400 440 Nominal Dollars per Thousand Cubic Meters Residential Commercial Industrial Electric Power Vehicle Fuel 0 2 4 6 8 1 0 1 2 1 4 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 Note: Coverage for prices varies by consumer sector. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Federal Energy Regulatory Commission (FERC) Form 423, "Monthly Report of Cost and Quality of Fuels for Electric Plants"; Form EIA-423, "Monthly Cost and Quality of Fuels for Electric Plants Report"; Form EIA-923, "Power Plant Operations Report"; and Form EIA-910, "Monthly Natural Gas

299

Supplementary Figure 1 Analysis Modalities  

E-Print Network (OSTI)

of the dataset being analyzed is depicted by the dark color. Global Analysis. The entire dataset is analyzed wide user base. First, users can access the web application from our own web servers, which are running.IOBIO uses the MIT License. Implementation Details BAM.IOBIO is a Javascript and HTML web application using

Cai, Long

300

Figure 4. World Oil Prices  

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

4. World Oil Prices" " (2007 dollars per barrel)" ,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030...

Note: This page contains sample records for the topic "mfw estimates figures" 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

Microsoft Word - figure_99.doc  

Gasoline and Diesel Fuel Update (EIA)

Liquids Production." IN OH TN WV VA KY MD PA NY VT NH MA CT ME RI DE DC NC SC GA FL NJ AL MS LA MO AR TX NM OK CO KS UT AZ WY NE IL IA MN WI ND SD ID MT WA OR NV CA HI AK MI Gulf...

302

114 Figure 2-16  

E-Print Network (OSTI)

triangular ripples in unconsolidated pteropod shells. These form parallel to the direction of the current31.7'W. Field of view 5 x 7 meters. Shoestring rills forming in unconsolidated sediments at the head

Kidd, William S. F.

303

Microsoft Word - Figure_01.doc  

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

gas in the United States, 2009-2013 0 1 2 3 4 5 6 7 2009 2010 2011 2012 2013 E xports Im ports C itygate dollars per thousand cubic feet Note: Prices are in nominal dollars....

304

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 (Million Cubic Feet) 24,891 2,895 Nigeria WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico Algeria C a n a d a C a n a d a Canada Canada Canada Canada Canada Algeria Canada Canada N i g e r i a O m a n Qatar Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Malaysia 2,986 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and the Office of Fossil Energy, Natural Gas Imports and Exports. Energy Information Administration / Natural Gas Annual 2005 Supplemental Data From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 335,380 634,982 664,318 612,297 125,202 33,223 531,868 103,624

305

Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? -The Relationship between Homogeneity of Analogues  

E-Print Network (OSTI)

Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? - The Relationship between/4)( / ) Software cost estimation Definition · Task of predicting the cost required to complete a software projectproject Techniques for software cost estimation · Algorithmic estimationAlgorithmic estimation ­ Calculate

Bae, Doo-Hwan

306

Parallel State Estimation Assessment with Practical Data  

SciTech Connect

This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.

Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

2014-10-31T23:59:59.000Z

307

The MIRD method of estimating absorbed dose  

SciTech Connect

The estimate of absorbed radiation dose from internal emitters provides the information required to assess the radiation risk associated with the administration of radiopharmaceuticals for medical applications. The MIRD (Medical Internal Radiation Dose) system of dose calculation provides a systematic approach to combining the biologic distribution data and clearance data of radiopharmaceuticals and the physical properties of radionuclides to obtain dose estimates. This tutorial presents a review of the MIRD schema, the derivation of the equations used to calculate absorbed dose, and shows how the MIRD schema can be applied to estimate dose from radiopharmaceuticals used in nuclear medicine.

Weber, D.A.

1991-01-01T23:59:59.000Z

308

Estimating pool energy requirements with a thermometer  

SciTech Connect

It is pointed out that there is a need for a simple method of estimating the energy required by a swimming pool. (This is the first step in determining the size of solar pool heaters for a specific application.) Previous methods for estimating pool energy requirements demand mathematical skills. The method proposed here requires only: (1) measurement of the average pool temperature; (2) an estimate of the pool volume; and (3) a knowledge of the desired temperature. Average temperature of the pool is measured using a weighted thermometer at different locations under various weather conditions. Step-by-step instructions complete with a table are provided. (MJJ)

Not Available

1980-04-01T23:59:59.000Z

309

A priori estimates for relativistic liquid bodies  

E-Print Network (OSTI)

We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.

Oliynyk, Todd A

2015-01-01T23:59:59.000Z

310

Attribution and Apportionment - Preliminary Estimation Procedures  

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

Preliminary Estimation Procedures Preliminary Estimation Procedures FHWA completes several steps in the motor fuel analysis process prior to beginning the annual State-by-State analysis. These steps include an estimation of non-highway fuel uses, public fuel uses, and gasohol consumption. The estimation models are briefly described below. The models require data from several outside sources. One major dataset is the Census Bureau's Vehicle Inventory and Use Survey (VIUS). This data set contains information on annual vehicle miles of travel, percent of off-road use, major use of the truck (agriculture, retail, etc.), engine type, and the State in which the truck is registered. VIUS does not, however, provide a fuel use breakdown between gasoline and gasohol, on-road versus off-road fuel economy, or a distribution of off-road travel by State. The VIUS is conducted every five years; the latest survey was in 1997.

311

Guidelines for Estimating Unmetered Landscapting Water Use  

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

Guidelines for Estimating Guidelines for Estimating Unmetered Landscaping Water Use July 2010 i Summary Executive Order 13514 requires Federal agencies to develop a baseline for industrial, landscaping, and agricultural water use in fiscal year 2010. Measuring actual water use through flow meters is the best method to develop this baseline. But there are instances where Federal sites do not meter these applications, so developing a baseline will be problematic. Therefore the intent of this document is to assist Federal agencies in the baseline development by providing a methodology to calculate unmetered sources of landscaping water use utilizing engineering estimates. The document lays-out step by step instructions to estimate landscaping water using two alternative

312

Distributed Robust Power System State Estimation  

E-Print Network (OSTI)

Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

313

Estimating Demand Response with Panel Data  

Science Journals Connector (OSTI)

In this paper, we extend to panel data the iterated linear least squares estimator of Blundell and Robin (in J Appl Econometrics 14: 209232 1999). It is shown to be consistent when total expenditure and regre...

Sbastien Lecocq; Jean-Marc Robin

2006-11-01T23:59:59.000Z

314

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 24Wm?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1Wm?2 at wind farm scales larger than about 100km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

315

Data Fusion for Improved Respiration Rate Estimation  

E-Print Network (OSTI)

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the ...

Nemati, Shamim

316

Budget estimates, fiscal year 1997. Volume 12  

SciTech Connect

This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.

NONE

1996-03-01T23:59:59.000Z

317

A simple method to estimate interwell autocorrelation  

SciTech Connect

The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.

Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)

1997-08-01T23:59:59.000Z

318

Nonparametric estimation of multiple structures with outliers  

E-Print Network (OSTI)

Nonparametric estimation of multiple structures with outliers Wei Zhang and Jana Kosecka George outliers (pseudo outliers) to it in addition to the true outliers (gross outliers). The problem of robust

Kosecka, Jana

319

Fracture compliance estimation using borehole tube waves  

E-Print Network (OSTI)

We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...

Bakku, Sudhish Kumar

320

Risk Bounds for Mixture Density Estimation  

E-Print Network (OSTI)

In this paper we focus on the problem of estimating a bounded density using a finite combination of densities from a given class. We consider the Maximum Likelihood Procedure (MLE) and the greedy procedure described by ...

Rakhlin, Alexander

2004-01-27T23:59:59.000Z

Note: This page contains sample records for the topic "mfw estimates figures" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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321

REPORT NO. 4 ESTIMATES AND EVALUATION OF  

E-Print Network (OSTI)

ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Section II History of Nuclear Weapons Testing. . . . . . . . . . . . . . . . 4 Section III Atmospheric, "Health Implications of Fallout From Nuclear Weapons Testing Through 1961", May 1962

322

On the estimation of numerus clausus  

Science Journals Connector (OSTI)

In this paper a method for estimating the necessary number of enrollments is derived, when the future need of graduates and the probabilities of ever graduating and of graduating in a certain time are given. T...

Anita Lukka

1972-01-01T23:59:59.000Z

323

Nonlinear parameter estimation in parallel computing environments  

E-Print Network (OSTI)

This thesis examines issues related to the paralielization of PESTI a parameter estimation code which was originally developed by Dr. A. T. Watson. PEST is based on the trust region implementation of Levenberg-Marquardt nonlinear least square...

Li, Jie

2012-06-07T23:59:59.000Z

324

State Estimation of the Micro-grid  

Science Journals Connector (OSTI)

For the goal of actual needs of power companies, this chapter develops a state estimation procedure of the micro-grid, using branch currents as state variables, ... In this chapter, an IEEE-33 nodes micro-grid is...

Jinling Lu; Guodong Zhu; Yuyang Miao

2014-01-01T23:59:59.000Z

325

Estimating wave energy from a wave record  

Science Journals Connector (OSTI)

This note is concerned with the calculation of wave energy from a time series record of wave heights. Various methods are used to estimate the wave energy. For wave records that contain a number of different ... ...

Sasithorn Aranuvachapun; John A. Johnson

1977-01-01T23:59:59.000Z

326

Sub-Second Parallel State Estimation  

SciTech Connect

This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than todays commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimators single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.

Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu

2014-10-31T23:59:59.000Z

327

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect

The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

Boyd, Brian K.

2010-08-01T23:59:59.000Z

328

Oil reservoir properties estimation using neural networks  

SciTech Connect

This paper investigates the applicability as well as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data. This approach relies on JPL`s adjoint operators general purpose neural network code to determine the best suited architecture. The authors believe that results presented in this work demonstrate that artificial neural networks produce surprisingly accurate estimates of the reservoir parameters.

Toomarian, N.B. [California Inst. of Tech., Pasadena, CA (United States); Barhen, J.; Glover, C.W. [Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research; Aminzadeh, F. [UNOCAL Corp., Sugarland, TX (United States)

1997-02-01T23:59:59.000Z

329

Lognormal parameter estimation with censored data  

E-Print Network (OSTI)

[1966] reopened. the case for maximum-likcli- hooc. by exploring iterative echniques i'or the solutions to the maxim~. -likelihood equst, iona for truncated ani ccrsored samples. Tney noted. th. t although the local-msximim-likelihood estimates were... of expected biases for given parsmete. values. In addition, a +echnique is developed for the elimination oi' the bias in the maximum-likelihood estimators for a mu'tiparameter case. The latter two problem- have not pre- viously been discussed...

Zeis, Charles David

1970-01-01T23:59:59.000Z

330

Do you know where your money goes each month? The following will help to figure your monthly spending. 1. List all the money you owe credit cards, loans, money you borrowed from family and friends, collection ac-  

E-Print Network (OSTI)

Do you know where your money goes each month? The following will help to figure your monthly spending. 1. List all the money you owe ­ credit cards, loans, money you borrowed from family and friends be less than or equal to income (Lesson 6). The first chart is for money you owe. The second is for income

Liskiewicz, Maciej

331

Figure 2: We observed several directions along the length of the Bridge in H, [S II], and [N II] for over 8 minutes. Many of these sightlines align with previous studies to compare  

E-Print Network (OSTI)

Figure 2: We observed several directions along the length of the Bridge in H, [S II], and [N II the Magellanic Bridge, using the Wisconsin H Mapper observatory, to investigate the warm ionized gas in extensive of the ionized component. Ongoing work will include extensively mapping the Bridge in H, [S II], and [N II

Wisconsin at Madison, University of

332

4-114 The volume of chamber 1 of the two-piston cylinder shown in the figure is to be determined. Assumptions At specified conditions, helium behaves as an ideal gas.  

E-Print Network (OSTI)

4-63 4-114 The volume of chamber 1 of the two-piston cylinder shown in the figure the forces acting on the piston in the vertical direction gives kPa8.248 10 4 kPa)1555( 22 1 2 2 1 2 21

Bahrami, Majid

333

Survival Estimates for the Passage of Juvenile Salmonids through Snake River Dams and Reservoirs, 1997 Annual Report.  

SciTech Connect

This report consists of two parts describing research activities completed during 1997 under Bonneville Power Administration Project Number 93-29. Part 1 provides reach survival and travel time estimates for 1997 for PIT-tagged hatchery steelhead and yearling chinook salmon in the Snake and Columbia Rivers. The results are reported primarily in the form of tables and figures with a minimum of text. More detailed information on methodology and the statistical models used in the analysis are provided in previous annual reports cited in the text. Analysis of the relationships among travel time, survival, and environmental factors for 1997 and previous years of the study will be reported elsewhere. Part 2 of this report describes research to determine areas of loss and delay for juvenile hatchery salmonids above Lower Granite Reservoir.

Hockersmith, Eric E.

1999-03-01T23:59:59.000Z

334

Estimates of incremental oil recoverable by carbon dioxide flooding and related carbon dioxide supply requirements for flooding major carbonate reservoirs in the Permian, Williston, and other Rocky Mountain basins  

SciTech Connect

The objective of the work was to build a solid engineering foundation (in) carbonate reservoirs for the purpose of extending the technology base in carbon dioxide miscible flooding. This report presents estimates of incremental oil recovery and related carbon dioxide supply requirements for selected carbonate reservoirs in the Permian, Williston, and Rocky Mountain Basins. The estimates presented here are based on calculations using a volumetric model derived and described in this report. The calculations utilized data developed in previous work. Calculations were made for a total of 279 reservoirs in the Permian, Williston, and several smaller Rocky Mountain Basins. Results show that the carbonate reservoirs of the Permian Basin constitute an order of magnitude larger target for carbon dioxide flooding than do all the carbonate reservoirs of the Williston and Rocky Mountain intermontane basins combined. Review of the calculated data in comparison with information from earlier work indicates that the figures given here are probably optimistic in that incremental oil volumes may be biased toward the high side while carbon dioxide supply requirements may be biased toward the low side. However, the information available would not permit further practical refinement of the calculations. Use of the incremental oil figures given for individual reservoirs as an official estimate is not recommended because of various uncertainties in individual field data. Further study and compilation of data for field projects as they develop appears warranted to better calibrate the calculation procedures and thus to develop more refined estimates of incremental oil potential and carbon dioxide supply requirements. 11 figures, 16 tables.

Goodrich, J.H.

1982-12-01T23:59:59.000Z

335

Marker-less Human Motion Estimation using Articulated Deformable Model  

E-Print Network (OSTI)

Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and backtrack re-estimation algorithm enable accurate estimation. The power to track challenging whole body

Tokyo, University of

336

Online parameter estimation applied to mixed conduction/radiation  

E-Print Network (OSTI)

) is the most widely used parameter estimation algorithm for nonlinear models. The unscented Kalman filter (UKF) is a new and more accurate technique for parameter estimation. These parameter estimation techniques have been evaluated with respect to data from...

Shah, Tejas Jagdish

2005-08-29T23:59:59.000Z

337

Uncertainty Quantification and Calibration in Well Construction Cost Estimates  

E-Print Network (OSTI)

or to individual cost components. Application of the methodology to estimation of well construction costs for horizontal wells in a shale gas play resulted in well cost estimates that were well calibrated probabilistically. Overall, average estimated...

Valdes Machado, Alejandro

2013-08-05T23:59:59.000Z

338

A. Appendix: Cost Estimate for the Facility  

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

Appendix: Cost Estimate for the Facility Appendix: Cost Estimate for the Facility Determining the cost of a facility as complex as the neutrino source presented here is a very difficult task within the short time period of six months. Three factors contribute to the uncertainty significantly: 1. The number of subsystems in the facility, which are described throughout the report, is comparatively large. All of the subsystems contribute a considerable amount of complexity and cost that have to be addressed by specific expertise in order to find a technical solution and a reasonable cost estimate. The variety of technologies is large and many of them have to be pushed to the edge or beyond and therefore has to be addressed with an appropriate R&D program. Cost savings from mass production will not be

339

Adjusted Estimates of Texas Natural Gas Production  

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

1 Energy Information Administration 1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO 2 ) production. Normally, EIA would wait until publication of the Natural Gas Annual (NGA) before revising the 2004 data, but the adjustments for CO 2 are large enough to warrant making the changes at this time. Prior to 2005, EIA relied exclusively on the voluntary sharing of production data by state and federal government entities to develop its natural gas production estimates. In 2005, EIA began collecting production data directly from operators on the new EIA-914 production

340

Estimating Renewable Energy Costs | Department of Energy  

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

Estimating Renewable Energy Costs Estimating Renewable Energy Costs Estimating Renewable Energy Costs October 16, 2013 - 4:40pm Addthis Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically require large, additional capital investments with savings accruing over the project's life. It is crucial that these systems are considered early on in the budgeting process. Early budget requests need to include a set of technologies that could be used to meet the project's design requirements and their associated implementation costs. The design team may respond with a different set of feasible technologies, but it is wise to have an existing placeholder in the budget. Federal agencies can continue to update the budget as decisions

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


341

Component external leakage and rupture frequency estimates  

SciTech Connect

In order to perform detailed internal flooding risk analyses of nuclear power plants, external leakage and rupture frequencies are needed for various types of components - piping, valves, pumps, flanges, and others. However, there appears to be no up-to-date, comprehensive source for such frequency estimates. This report attempts to fill that void. Based on a comprehensive search of Licensee Event Reports (LERs) contained in Nuclear Power Experience (NPE), and estimates of component populations and exposure times, component external leakage and rupture frequencies were generated. The remainder of this report covers the specifies of the NPE search for external leakage and rupture events, analysis of the data, a comparison with frequency estimates from other sources, and a discussion of the results.

Eide, S.A.; Khericha, S.T.; Calley, M.B.; Johnson, D.A.; Marteeny, M.L.

1991-11-01T23:59:59.000Z

342

State energy data report 1996: Consumption estimates  

SciTech Connect

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

NONE

1999-02-01T23:59:59.000Z

343

Augmenting Satellite Precipitation Estimation with Lightning Information  

SciTech Connect

We have used lightning information to augment the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network - Cloud Classification System (PERSIANN-CCS). Co-located lightning data are used to segregate cloud patches, segmented from GOES-12 infrared data, into either electrified (EL) or non-electrified (NEL) patches. A set of features is extracted separately for the EL and NEL cloud patches. The features for the EL cloud patches include new features based on the lightning information. The cloud patches are classified and clustered using self-organizing maps (SOM). Then brightness temperature and rain rate (T-R) relationships are derived for the different clusters. Rain rates are estimated for the cloud patches based on their representative T-R relationship. The Equitable Threat Score (ETS) for daily precipitation estimates is improved by almost 12% for the winter season. In the summer, no significant improvements in ETS are noted.

Mahrooghy, Majid [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Younan, Nicolas H. [Mississippi State University (MSU); Petersen, Walter A. [NASA Marshall Space Flight Center, Huntsville, AL; Hsu, Kuo-Lin [University of California, Irvine; Behrangi, Ali [Jet Propulsion Laboratory, Pasadena, CA; Aanstoos, James [Mississippi State University (MSU)

2013-01-01T23:59:59.000Z

344

Estimating exposure of terrestrial wildlife to contaminants  

SciTech Connect

This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.

Sample, B.E.; Suter, G.W. II

1994-09-01T23:59:59.000Z

345

Quantum limits to estimation of photon deformation  

E-Print Network (OSTI)

We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.

Giovanni De Cillis; Matteo G. A. Paris

2014-07-08T23:59:59.000Z

346

Performance estimates for personnel access control systems  

SciTech Connect

Current performance estimates for personnel access control systems use estimates of Type I and Type II verification errors. A system performance equation which addresses normal operation, the insider, and outside adversary attack is developed. Examination of this equation reveals the inadequacy of classical Type I and II error evaluations which require detailed knowledge of the adversary threat scenario for each specific installation. Consequently, new performance measures which are consistent with the performance equation and independent of the threat are developed as an aid in selecting personnel access control systems.

Bradley, R. G.

1980-10-01T23:59:59.000Z

347

Online Sensor Calibration Monitoring Uncertainty Estimation  

SciTech Connect

Empirical modeling techniques have been applied to online process monitoring to detect equipment and instrumentation degradations. However, few applications provide prediction uncertainty estimates, which can provide a measure of confidence in decisions. This paper presents the development of analytical prediction interval estimation methods for three common nonlinear empirical modeling strategies: artificial neural networks, neural network partial least squares, and local polynomial regression. The techniques are applied to nuclear power plant operational data for sensor calibration monitoring, and the prediction intervals are verified via bootstrap simulation studies.

Hines, J. Wesley; Rasmussen, Brandon [University of Tennessee (United States)

2005-09-15T23:59:59.000Z

348

Part cost estimation at early design phase  

Science Journals Connector (OSTI)

Abstract Although 70% of part cost is determined during the early design stage, designers rarely accurately estimate the costs of their designs. Based on extensive literature review, in-depth industrial survey and close collaboration with multiple manufacturers, forty factors were identified as governing part cost and ranked according to cost impact. Based on parameter ranking and availability at the early stages of design, a cost estimator for designers is proposed. As the design progresses and more parameters become available, a more accurate cost model is derived and proposed to manufacturers. Results are analyzed and compared to actual manufacturing costing demonstrating good fit.

Gila Molcho; Asher Cristal; Moshe Shpitalni

2014-01-01T23:59:59.000Z

349

Online Vehicle Detection For Estimating Traffic Status  

E-Print Network (OSTI)

We propose a traffic congestion estimation system based on unsupervised on-line learning algorithm. The system does not rely on background extraction or motion detection. It extracts local features inside detection regions of variable size which are drawn on lanes in advance. The extracted features are then clustered into two classes using K-means and Gaussian Mixture Models(GMM). A Bayes classifier is used to detect vehicles according to the previous cluster information which keeps updated whenever system is running by on-line EM algorithm. Experimental result shows that our system can be adapted to various traffic scenes for estimating traffic status.

Lai, Ranch Y Q

2011-01-01T23:59:59.000Z

350

Estimates of US biofuels consumption, 1990  

SciTech Connect

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Not Available

1991-10-01T23:59:59.000Z

351

PDE Estimation Techniques for Advanced Battery Management Systems -Part I: SOC Estimation  

E-Print Network (OSTI)

- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part I: SOC Estimation S. J and renewable energy research, including advanced batteries, under the American Recovery and Rein- vestment Act

Krstic, Miroslav

352

Estimating Variance under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation  

E-Print Network (OSTI)

. In practice, these values come either from measurements or from expert estimates. In both case, we get only for these characteristics. It is desirable to estimate the accuracy of these approximations. Case of measurement uncertainty. Measurements are never 100% accurate. As a result, the result x of the measurement is, in general, different

Kreinovich, Vladik

353

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large Wildfires  

E-Print Network (OSTI)

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large: Global Biomass Burning & Carbon Emissions Standard Emissions Inventories: Burned Area & GFED recently daily. Fire occurrenceoccurrence Roy et al.Roy et al. Carbon emissions (C) = burned area . fuel

354

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...  

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

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel...

355

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE ...  

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

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating Procedures INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating...

356

How to Estimate the Economic Impacts from Renewable Energy |...  

Energy Savers (EERE)

How to Estimate the Economic Impacts from Renewable Energy How to Estimate the Economic Impacts from Renewable Energy U.S. Department of Energy Technical Assistance Project (TAP)...

357

Estimate Greenhouse Gas Emissions by Building Type | Department...  

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

Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type YOU ARE HERE Step 2 Starting with the programs contributing the greatest...

358

Parametric estimating for early electric substation construction cost.  

E-Print Network (OSTI)

??Developing accurate construction estimates is critical for electric utilities to make reliable financial plans for their future. Parametric estimating is just one of several techniques (more)

Wall, Darden Lee

2010-01-01T23:59:59.000Z

359

The Greenhouse Gas Protocol Initiative: Measurement and Estimation...  

Open Energy Info (EERE)

Estimation of Uncertainty of GHG Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Measurement and Estimation of...

360

Louisiana - North Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Louisiana - North Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

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


361

Texas - RRC District 10 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 10 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

362

U.S. Federal Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) U.S. Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

363

Nebraska Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Nebraska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

364

Texas - RRC District 7B Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7B Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

365

Florida Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Florida Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

366

Texas - RRC District 6 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 6 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

367

Alabama Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Alabama Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

368

Louisiana State Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Louisiana State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

369

Louisiana - South Onshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Louisiana - South Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

370

Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

371

New Mexico - West Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico - West Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

372

Utah Crude Oil + Lease Condensate Estimated Production from Reserves...  

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

Estimated Production from Reserves (Million Barrels) Utah Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

373

Texas - RRC District 7C Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7C Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

374

Texas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Texas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

375

Wyoming Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Wyoming Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

376

Indiana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Indiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

377

Arkansas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Arkansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

378

Ohio Crude Oil + Lease Condensate Estimated Production from Reserves...  

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

Estimated Production from Reserves (Million Barrels) Ohio Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

379

Kansas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Kansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

380

Alaska Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Alaska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

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


381

California State Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) California State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

382

New Mexico - East Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico - East Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

383

Colorado Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Colorado Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

384

California Federal Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) California Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

385

Miscellaneous States Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

386

Oklahoma Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Oklahoma Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

387

Texas State Offshore Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Texas State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

388

Louisiana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Louisiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

389

Texas - RRC District 8A Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8A Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

390

Texas - RRC District 9 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 9 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

391

Michigan Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Michigan Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

392

New Mexico Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

393

Montana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Montana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

394

Illinois Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Illinois Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

395

Lower 48 States Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Lower 48 States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

396

Texas - RRC District 8 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

397

North Dakota Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) North Dakota Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

398

Texas - RRC District 1 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 1 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

399

Texas - RRC District 5 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 5 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

400

West Virginia Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) West Virginia Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

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


401

Estimating Coke and Pepsi's Price and Advertising Strategies  

E-Print Network (OSTI)

Strategy Distributions for Coke (First Quarter 1977) a)Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE ADVERTISINGEconomics July, 1998 Estimating Coke and Pepsis Price and

Golan, Amos; Karp, Larry S.; Perloff, Jeffrey M.

1998-01-01T23:59:59.000Z

402

Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping...  

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

Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22,...

403

Estimating the Value of Electricity Storage Resources in Electricity...  

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

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

404

A Review of Geothermal Resource Estimation Methodology | Open...  

Open Energy Info (EERE)

to library Conference Paper: A Review of Geothermal Resource Estimation Methodology Abstract The reliability of resource estimation methodology has become increasingly...

405

Estimation of Velocity Distribution and Suspended Sediment Discharge in Open Channels Using Entropy  

E-Print Network (OSTI)

up a coordinate system?????..??????.. 30 4.1.2 Velocity isovels?????..??????...?????.. 31 4.1.3 Cumulative distribution function?????...?????.. 32 4.1.4 Verification of cumulative distribution function?????. 38 4.2 1D velocity distribution... a and G values??????... 56 Figure 5.2 Dimensionless velocity distribution for various m values (data from Ponte Felcino River, Italy)????????????????... 59 Figure 5.3 The relationship between G and um/umax??????????... 60 Figure 5.4 Distribution...

Cui, Huijuan

2011-08-08T23:59:59.000Z

406

Accurate estimators and optimizers for networks-on-chip  

E-Print Network (OSTI)

num- ber of ports increase router energy efficiency. On theshows the energy-per-bit as a function of n port , n vc ,0.00E+00 fw n port t n VC Figure 4.15: Router energy-per-bit

Samadi, Kambiz

2010-01-01T23:59:59.000Z

407

Property:EstimatedTime | Open Energy Information  

Open Energy Info (EERE)

EstimatedTime EstimatedTime Jump to: navigation, search Property Name EstimatedTime Property Type Quantity Description An estimate of a particular chronological span, uses the Type:Epoch. Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Subproperties This property has the following 35 subproperties: G GRR/Elements/14-CA-b.1 - NPDES Permit Application GRR/Elements/14-CA-b.12 - Were all EPA objections resolved GRR/Elements/14-CA-b.13 - NPDES Permit issued GRR/Elements/14-CA-b.3 - Is the application complete for the Regional Water Quality Control Board

408

Guidelines for Estimating Unmetered Landscaping Water Use  

SciTech Connect

The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy one-stop-shop for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.

McMordie Stoughton, Kate

2010-07-28T23:59:59.000Z

409

ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS  

E-Print Network (OSTI)

, as provided in the 2013 California Energy Efficiency Potential and Goals Study (2013 Potential Study 2013.1 The 2013 Potential Study estimated energy efficiency savings that could be realized through G. Brown Jr., Governor California Energy Commission DRAFT STAFF REPORT #12;CALIFORNIA ENERGY

410

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network (OSTI)

Retrofit Energy Savings Estimation Model Reference Manual #12;#12;Retrofit Energy Savings commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does from the Department of Energy. Any conclusions or opinions expressed in this manual represent solely

411

Machine Learning ! ! ! ! ! Srihari Parameter Estimation for  

E-Print Network (OSTI)

· Bayesian Approach ­Thumbtack vs Coin Toss · Uniform Prior vs Beta Prior ­Multinomial · Dirichlet Prior 2 · Statistical estimation theory deals with Confidence Intervals ­E.g., in election polls 61 + 2 percent plan

412

Capacitary estimates and the local behavior of  

E-Print Network (OSTI)

... in virtue of (3.11), (3.12) the estimate (3.6) continues to hold. Namely, for every U R n there exist. C,R0 >0 such that. C Q(x)jB(x,r)j jB(x, r)j C 1 QjB(x,r)j,. (3.13).

1996-10-25T23:59:59.000Z

413

PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING  

E-Print Network (OSTI)

on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely usedPARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade in the model, the numerical discretization used, and the solution algorithms employed. Parameter identification

Ewing, Richard E.

414

Estimating density of Florida Key deer  

E-Print Network (OSTI)

for this species since 1968; however, a need to evaluate the precision of existing and alternative survey methods (i.e., road counts, mark-recapture, infrared-triggered cameras [ITC]) was desired by USFWS. I evaluated density estimates from unbaited ITCs and road...

Roberts, Clay Walton

2006-08-16T23:59:59.000Z

415

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING  

E-Print Network (OSTI)

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jørgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jørgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns

Paris-Sud XI, Université de

416

Background estimation using a robust Bayesian analysis  

Science Journals Connector (OSTI)

A novel method for the estimation of the background in a powder diffraction pattern has been developed using a robust Bayesian analysis. The underlying probability theory is discussed in terms of going beyond the Gaussian approximation normally associated with counting statistics and least-squares analysis, and various examples are presented that illustrate the general applicability of the approach.

David, W.I.F.

2001-05-22T23:59:59.000Z

417

Estimating nanoparticle size from diffraction measurements  

Science Journals Connector (OSTI)

A Fourier transform of a Debye-Scherrer diffraction pattern can be used to estimate the characteristic size of nanoparticle samples. This method is insensitive to nanoparticle structure and therefore preferable to the Scherrer formula (which is unreliable because it assumes an underlying size-limited perfect crystal structure).

Hall, B.D.

2000-12-01T23:59:59.000Z

418

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network (OSTI)

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview in "Wastewater Quality Monitoring and Wastewater Quality Monitoring and Treatment, Philippe Quevauviller (Ed

Paris-Sud XI, Université de

419

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS  

E-Print Network (OSTI)

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS G. C. Papanicolaoua, K. Solnab and D, University of Utah, Salt Lake City, UT 84112 cPhillips Laboratory, Kirtland AFB, NM 87117 ABSTRACT We present of the detail coe cients at scale j. The spectrum can therefore be interpreted as representing the energy

Papanicolaou, George C.

420

Research Summary Estimating Woodfuel Resource Cost Curves  

E-Print Network (OSTI)

and plant based biomass, with the largest proportion (39%) from domestic wood combustion. Objectives utilise an additional 2 million `green' tonnes of wood biomass a year - equivalent to 1 million oven dry, the estimated amount of woodfuel biomass most immediately available from UMW is 12% of the FCE target

Note: This page contains sample records for the topic "mfw estimates figures" 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

PMU Deployment for Optimal State Estimation Performance  

E-Print Network (OSTI)

the benefits from data aggregation. Phasor Measurement Unit (PMU) is such an advanced device capablePMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective

Roy, Sumit

422

Estimating the Burden of Neurocysticercosis in Mexico  

E-Print Network (OSTI)

region (p< 0.05). The mean total number of DALYs lost due to NCC in Mexico was estimated to be 99,866 (95 percent CR: 43,187 189,182), with a mean of 0.95 (95 percent CR: 0.41.8) DALYs lost per thousand persons per year....

Bhattarai, Rachana

2012-10-19T23:59:59.000Z

423

Preprint # 1010 Bayesian Methods for Estimating the  

E-Print Network (OSTI)

a bottom-up approach for approximating the pos- terior distribution of reliability of series and parallelPreprint # 10­10 Bayesian Methods for Estimating the Reliability of Complex Systems Using Ames, Iowa, 50011 August 8, 2010 ABSTRACT We propose a Bayesian approach for assessing the reliability

424

Mechanism and estimation of fatigue crack initiation in austenitic stainless steels in LWR environments.  

SciTech Connect

The ASME Boiler and Pressure Vessel Code provides rules for the construction of nuclear power plant components. Figures I-9.1 through I-9.6 of Appendix I to Section III of the Code specify fatigue design curves for structural materials. However, the effects of light water reactor (LWR) coolant environments are not explicitly addressed by the Code design curves. Existing fatigue strain-vs.-life ({var_epsilon}-N) data illustrate potentially significant effects of LWR coolant environments on the fatigue resistance of pressure vessel and piping steels. This report provides an overview of fatigue crack initiation in austenitic stainless steels in LWR coolant environments. The existing fatigue {var_epsilon}-N data have been evaluated to establish the effects of key material, loading, and environmental parameters (such as steel type, strain range, strain rate, temperature, dissolved-oxygen level in water, and flow rate) on the fatigue lives of these steels. Statistical models are presented for estimating the fatigue {var_epsilon}-N curves for austenitic stainless steels as a function of the material, loading, and environmental parameters. Two methods for incorporating environmental effects into the ASME Code fatigue evaluations are presented. The influence of reactor environments on the mechanism of fatigue crack initiation in these steels is also discussed.

Chopra, O. K.; Energy Technology

2002-08-01T23:59:59.000Z

425

Downloaded 07 Feb 2012 to 128.180.65.141. Redistribution subject to AIP license or copyright; see http://jap.aip.org/about/rights_and_permissions Characterizations of Seebeck coefficients and thermoelectric figures of merit  

E-Print Network (OSTI)

/(mK)] due to the increased alloy scattering, however, the optimized thermoelectric material was obtained for materials based on AlGaN34,35 and InGaN36,37 alloys. The thermoelectric properties for RF-sputtered Al and thermoelectric figures of merit for AlInN alloys with various In-contents Jing Zhang,a) Hua Tong, Guangyu Liu

Gilchrist, James F.

426

A continuous traffic study - estimation of population parameters and the variance of the estimated parameters  

E-Print Network (OSTI)

. 32 5. 88 6. 36 1. 68 13 TABLE 3. 2 ESTIMATED TOTAL 'fONS BY CARRiER Carrier Sample Size ToGs Standard Error Coefficient Variation (/) Maximum Variation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 '7 l 22.... 37 14. 71 13. 33 12. 48 18. 62 6. 26 7. 07 l. 72 15 3. 4 Traffic Characteristics for a Group of Carri rs The estimation of totals and estimated variances for a group of carriers is merely an extension of formula 3. 1 and 3. 3. In this case...

Dresser, George Brayton

1969-01-01T23:59:59.000Z

427

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay  

E-Print Network (OSTI)

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay , Jason Fordz and John propose a risk-sensitive approach to parameter estimation for hidden Markov models HMMs. The parameter the improvement in estimation simu- lation studies are presented that compare parameter estimation based on risk-sensitive

Moore, John Barratt

428

Several test results on earthing-resistance-estimation instrument  

Science Journals Connector (OSTI)

Whenever earth construction work is done, the implanted number and depth of electrodes have to be estimated in order to obtain the required resistance value. We call this earth resistance estimation. Under conventional method of earth resistance estimation, ... Keywords: earthing-resistance estimation, resistivity sounding, soil layer

Hitoshi Kijima

2008-02-01T23:59:59.000Z

429

Effects of improved modeling on best estimate BWR severe accident analysis  

SciTech Connect

Since 1981, ORNL has completed best estimate studies analyzing several dominant BWR accident scenarios. These scenarios were identified by early Probabilistic Risk Assessment (PRA) studies and detailed ORNL analysis complements such studies. In performing these studies, ORNL has used the MARCH code extensively. ORNL investigators have identified several deficiencies in early versions of MARCH with regard to BWR modeling. Some of these deficiencies appear to have been remedied by the most recent release of the code. It is the purpose of this paper to identify several of these deficiencies. All the information presented concerns the degraded core thermal/hydraulic analysis associated with each of the ORNL studies. This includes calculations of the containment response. The period of interest is from the time of permanent core uncovery to the end of the transient. Specific objectives include the determination of the extent of core damage and timing of major events (i.e., onset of Zr/H/sub 2/O reaction, initial clad/fuel melting, loss of control blade structure, etc.). As mentioned previously the major analysis tool used thus far was derived from an early version of MARCH. BWRs have unique features which must be modeled for best estimate severe accident analysis. ORNL has developed and incorporated into its version of MARCH several improved models. These include (1) channel boxes and control blades, (2) SRV actuations, (3) vessel water level, (4) multi-node analysis of in-vessel water inventory, (5) comprehensive hydrogen and water properties package, (6) first order correction to the ideal gas law, and (7) separation of fuel and cladding. Ongoing and future modeling efforts are required. These include (1) detailed modeling for the pressure suppression pool, (2) incorporation of B/sub 4/C/steam reaction models, (3) phenomenological model of corium mass transport, and (4) advanced corium/concrete interaction modeling. 10 references, 17 figures, 1 table.

Hyman, C.R.; Ott, L.J.

1984-01-01T23:59:59.000Z

430

Building Energy Software Tools Directory: Energy Estimation Software with  

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

Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation logo. Energy Estimation Software for Fan and Pumping Applications estimates energy savings achieved when using a variable frequency drive instead of conventional control methods for fan and pumping applications. The results can be viewed in graphical format and text format and the software has built-in functions to generate an energy estimation report especially designed for consultants. The energy estimator software is available in two editions: Single System Edition This edition allows users to estimate energy savings for a single fan or pump system and generate a multi-page report based on the estimated savings. Project Edition This edition allows users to estimate energy savings of a single fan or

431

Title, Location, Document Number Estimated Cost Description  

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

Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Title, Location, Document Number Estimated Cost Description EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $65,000 Annual NEPA Planning Summary NEPA Reviews of Proposals to Implement Enterprise SRS Initiatives unknown The Savannah River Site Strategic Plan for 2011 - 2015 describes 12 initiatives that Enterprise SRS will pursue by applying SRS's management core competencies in nuclear materials. Implementation of new missions resulting from this effort will likely require NEPA review. However, until firm proposals are developed

432

On the Accuracy of Regulatory Cost Estimates  

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

On the Accuracy of Regulatory Cost Estimates On the Accuracy of Regulatory Cost Estimates Speaker(s): Richard Morgenstern Date: December 10, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Alan Sanstad Margaret Taylor Over the past several decades, the U.S. has seen a gradual reduction in economic regulation and a simultaneous increase in safety, health, environmental, and other social regulations. Especially with the prospect of regulation on greenhouse gases under the Clean Air Act, there is growing concern about the costs, effectiveness, and benefits of federal rules. While prospective or ex ante analyses of the benefits and costs of major federal regulations are now a standard part of government operations, retrospective or ex post analyses, focusing on measurements of actual

433

Process Equipment Cost Estimation, Final Report  

Office of Scientific and Technical Information (OSTI)

Process Equipment Cost Estimation Process Equipment Cost Estimation Final Report January 2002 H.P. Loh U.S. Department of Energy National Energy Technology Laboratory P.O. Box 10940, 626 Cochrans Mill Road Pittsburgh, PA 15236-0940 and P.O. Box 880, 3610 Collins Ferry Road Morgantown, WV 26507-0880 and Jennifer Lyons and Charles W. White, III EG&G Technical Services, Inc. 3604 Collins Ferry Road, Suite 200 Morgantown, WV 26505 DOE/NETL-2002/1169 ii Disclaimer 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, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus,

434

Quantum enhanced estimation of optical detector efficiencies  

E-Print Network (OSTI)

Quantum mechanics establishes the ultimate limit to the scaling of the precision on any parameter, by iden- tifying optimal probe states and measurements. While this paradigm is, at least in principle, adequate for the metrology of quantum channels involving the estimation of phase and loss parameters, we show that estimat- ing the loss parameters associated with a quantum channel and a realistic quantum detector are fundamentally different. While Fock states are provably optimal for the former, we identify a crossover in the nature of the optimal probe state for estimating detector imperfections as a function of the loss parameter. We provide explicit results for on-off and homodyne detectors, the most widely used detectors in quantum photonics technologies.

Barbieri, Marco; Bartley, Tim J; Jin, Xian-Min; Kolthammer, W Steven; Walmsley, Ian A

2015-01-01T23:59:59.000Z

435

Aerosol Best Estimate Value-Added Product  

SciTech Connect

The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.

Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C

2012-07-19T23:59:59.000Z

436

Estimating climatological variability of solar energy production  

Science Journals Connector (OSTI)

Abstract A method is presented for estimating the climatological variability of yearly and monthly photovoltaic power production per 1kWp of installed power. This quantity is computed for a specified portfolio of sources on the basis of historical data. Its climatological variability is derived from a simulation of 33years of power production with hourly time step. Underlying meteorological variables are taken from the MERRA reanalysis for the years 19792011. Since the MERRA reanalysis is not a traditional data source for photovoltaic power modelling, various comparisons to available and more frequently used data sources are included. The method of estimation has the advantage of wide applicability due to the global coverage of the meteorological data.

Pavel Juru; Krytof Eben; Jaroslav Resler; Pavel Kr?; Ivan Kasanick; Emil Pelikn; Marek Brabec; Ji? Hoek

2013-01-01T23:59:59.000Z

437

Estimating CNC discrimination with spondee words  

Science Journals Connector (OSTI)

Five experiments with normal listeners were performed to determine the percentage of CNC monosyllables correctly identified in various presentation paradigms at the speech reception threshold(SRT) for spondee materials. The purpose was to obtain information which would allow the quick estimation from the SRT of the stimulus level yielding these CNC percentages. Descending simple?up?and?down and best?of?three measuring techniques were used for SRT tests and best?of?five doublet and constant?level tests were employed for measuring CNC discrimination. All tests involved monaural (earphone) listening conditions in quiet or against a background of either 60 or 80 dB SPLwhite noise. Findings revealed that the various SRT tests estimated percentage CNC discrimination scores ranging in about 1729% on the rising portion of articulation functions. In general present results indicated that SRT tests are most apt to measure approximately the 23% point on CNC functions for normal listeners.

Daniel L. Bode; Raymond Carhart

1975-01-01T23:59:59.000Z

438

Component of variance estimation based on synthesis  

E-Print Network (OSTI)

Component of Variance Estimation based on. Synthesis. (August lg (2) Jocelyn Anthea Tommerup, B. Sc. , B. Econ. , University of Queenslsnd Directed. by: Dr. H. 0. Hartley Analysis of variance, widely used in the study of statistical variation.... Essentially the problem is to find these coefficients so that, estimstes of the components may be computed. Hartley [1967] hss proposed a method which gives these coef'ficients directly for sry design, balanced of' unbalanced. It is the objective...

Tommerup, Jocelyn Anthea

2012-06-07T23:59:59.000Z

439

BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL  

E-Print Network (OSTI)

BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL DUE TO TECHNOLOGY IMPROVEMENTS by Richard W. Andrews in the engineering assessment phase of this project: N.T. Barnes, B. Beeson, R.C. Belaire, W.C. Follmer, R.J. Genik, R.C. Heathfield, T.E. Kenney, D.L. Kulp, J.G. LaFond, J.D. Medrick, N.M. Novelli, G. Pietron, N

Berger, Jim

440

Selection index estimation from incomplete data  

E-Print Network (OSTI)

consistent, asymptoticallv efficient, and fre- quently maximum likelihood. This method ot estimating P was utilrzed by Smith and Pfaffenberger [1970] to develop a selection index which used both complete and incomplete data sets of multtvariate normal... distribution. This index was shown to be an improvement over those using only complete data sets. 1. 3 Review of the Smith-Pfaffenberger Procedure The Smith-Pfaffenberger index utilized the procedure developed by Hocking and Smith which allowed...

Scott, Douglas Meloy

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "mfw estimates figures" 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

E-Print Network 3.0 - area estimators based Sample Search Results  

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

Primer on small area estimation - direct and indirect estimation - synthetic... and composite estimation - borrowing strength and shrinkage - ... Source: Colorado State...

442

Detection-estimation of very close emitters: performance breakdown, ambiguity, and general statistical analysis of maximum-likelihood estimation  

Science Journals Connector (OSTI)

We reexamine the well-known problem of "threshold behavior" or "performance breakdown" in the detection-estimation of very closely spaced emitters. In this extreme regime, we analyze the performance for maximum-likelihood estimation (MLE) of directions-of-arrival ... Keywords: direction-of-arrival (DOA) estimation, maximum-likelihood estimation, random matrix theory, signal detection, signal resolution

Yuri I. Abramovich; Ben A. Johnson

2010-07-01T23:59:59.000Z

443

Cost estimate of initial SSC experimental equipment  

SciTech Connect

The cost of the initial detector complement at recently constructed colliding beam facilities (or at those under construction) has been a significant fraction of the cost of the accelerator complex. Because of the complexity of large modern-day detectors, the time-scale for their design and construction is comparable to the time-scale needed for accelerator design and construction. For these reasons it is appropriate to estimate the cost of the anticipated detector complement in parallel with the cost estimates of the collider itself. The fundamental difficulty with this procedure is that, whereas a firm conceptual design of the collider does exist, comparable information is unavailable for the detectors. Traditionally, these have been built by the high energy physics user community according to their perception of the key scientific problems that need to be addressed. The role of the accelerator laboratory in that process has involved technical and managerial coordination and the allocation of running time and local facilities among the proposed experiments. It seems proper that the basic spirit of experimentation reflecting the scientific judgment of the community should be preserved at the SSC. Furthermore, the formal process of initiation of detector proposals can only start once the SSC has been approved as a construction project and a formal laboratory administration put in place. Thus an ad hoc mechanism had to be created to estimate the range of potential detector needs, potential detector costs, and associated computing equipment.

NONE

1986-06-01T23:59:59.000Z

444

A critical analysis of a method used in estimating the size of county populations during the intercensal years  

E-Print Network (OSTI)

, and the scholastic population is derived from this sources wpasW. as ths figures obtained through the application of method i in this study. ~ufi Q ~ou~ation ~sg Zhe official population figures are tue figures as furnishen by the united utates Bureau of tne... vhen computing population changes in any given county. The final figures obtained through tris method for each county as sell as for ths Btate sere compared witn the offici, al Bureau of the Census figures of 19yQ, The Bureau oi' the Census...

Ellwood, Charles Burke

2012-06-07T23:59:59.000Z

445

Cost estimate of electricity produced by TPV  

Science Journals Connector (OSTI)

A crucial parameter for the market penetration of TPV is its electricity production cost. In this work a detailed cost estimate is performed for a Si photocell based TPV system, which was developed for electrically self-powered operation of a domestic heating system. The results are compared to a rough estimate of cost of electricity for a projected GaSb based system. For the calculation of the price of electricity, a lifetime of 20 years, an interest rate of 4.25% per year and maintenance costs of 1% of the investment are presumed. To determine the production cost of TPV systems with a power of 1220 kW, the costs of the TPV components and 100 EUR kW?1el,peak for assembly and miscellaneous were estimated. Alternatively, the system cost for the GaSb system was derived from the cost of the photocells and from the assumption that they account for 35% of the total system cost. The calculation was done for four different TPV scenarios which include a Si based prototype system with existing technology (?sys = 1.0%), leading to 3000 EUR kW?1el,peak, an optimized Si based system using conventional, available technology (?sys = 1.5%), leading to 900 EUR kW?1el,peak, a further improved system with future technology (?sys = 5%), leading to 340 EUR kW?1el,peak and a GaSb based system (?sys = 12.3% with recuperator), leading to 1900 EUR kW?1el,peak. Thus, prices of electricity from 6 to 25 EURcents kWh?1el (including gas of about 3.5 EURcents kWh?1) were calculated and compared with those of fuel cells (31 EURcents kWh?1) and gas engines (23 EURcents kWh?1).

Gnther Palfinger; Bernd Bitnar; Wilhelm Durisch; Jean-Claude Mayor; Detlev Grtzmacher; Jens Gobrecht

2003-01-01T23:59:59.000Z

446

Indirect Estimation of Radioactivity in Containerized Cargo  

SciTech Connect

Detecting illicit nuclear and radiological material in containerized cargo challenges the state of the art in detection systems. Current systems are being evaluated and new systems envisioned to address the need for the high probability of detection and extremely low false alarm rates necessary to thwart potential threats and extremely low nuisance and false alarm rates while maintaining necessary to maintain the flow of commerce impacted by the enormous volume of commodities imported in shipping containers. Maintaining flow of commerce also means that primary inspection must be rapid, requiring relatively indirect measurements of cargo from outside the containers. With increasing information content in such indirect measurements, it is natural to ask how the information might be combined to improved detection. Toward this end, we present an approach to estimating isotopic activity of naturally occurring radioactive material in cargo grouped by commodity type, combining container manifest data with radiography and gamma spectroscopy aligned to location along the container. The heart of this approach is our statistical model of gamma counts within peak regions of interest, which captures the effects of background suppression, counting noise, convolution of neighboring cargo contributions, and down-scattered photons to provide physically constrained estimates of counts due to decay of specific radioisotopes in cargo alone. Coupled to that model, we use a mechanistic model of self-attenuated radiation flux to estimate the isotopic activity within cargo, segmented by location within each container, that produces those counts. We demonstrate our approach by applying it to a set of measurements taken at the Port of Seattle in 2006. This approach to synthesizing disparate available data streams and extraction of cargo characteristics holds the potential to improve primary inspection using current detection capabilities and to enable simulation-based evaluation of new candidate detection systems.

Jarman, Kenneth D.; Scherrer, Chad; Smith, Eric L.; Chilton, Lawrence; Anderson, K. K.; Ressler, Jennifer J.; Trease, Lynn L.

2011-01-01T23:59:59.000Z

447

Estimating radiological background using imaging spectroscopy  

SciTech Connect

Optical imaging spectroscopy is investigated as a method to estimate radiological background by spectral identification of soils, sediments, rocks, minerals and building materials derived from natural materials and assigning tabulated radiological emission values to these materials. Radiological airborne surveys are undertaken by local, state and federal agencies to identify the presence of radiological materials out of regulatory compliance. Detection performance in such surveys is determined by (among other factors) the uncertainty in the radiation background; increased knowledge of the expected radiation background will improve the ability to detect low-activity radiological materials. Radiological background due to naturally occurring radiological materials (NORM) can be estimated by reference to previous survey results, use of global 40K, 238U, and 232Th (KUT) values, reference to existing USGS radiation background maps, or by a moving average of the data as it is acquired. Each of these methods has its drawbacks: previous survey results may not include recent changes, the global average provides only a zero-order estimate, the USGS background radiation map resolutions are coarse and are accurate only to 1 km 25 km sampling intervals depending on locale, and a moving average may essentially low pass filter the data to obscure small changes in radiation counts. Imaging spectroscopy from airborne or spaceborne platforms can offer higher resolution identification of materials and background, as well as provide imaging context information. AVIRIS hyperspectral image data is analyzed using commercial exploitation software to determine the usefulness of imaging spectroscopy to identify qualitative radiological background emissions when compared to airborne radiological survey data.

Bernacki, Bruce E.; Schweppe, John E.; Stave, Sean C.; Jordan, David V.; Kulisek, Jonathan A.; Stewart, Trevor N.; Seifert, Carolyn E.

2014-06-13T23:59:59.000Z

448

Notices Total Estimated Number of Annual  

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

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

449

Parametric Estimation of Harmonically Related Sinusoids  

E-Print Network (OSTI)

prediction polynomial coefficients: bK?k = bk. (2.20) With this symmetry, the size of the quadratic optimization in each iteration step is effectively reduced by a half. Specifically, by letting b = P?b (2.21) 18 where ?b = (b0, b1, . . . , bK/2)t and P... data. B. Parameter Estimation 1. Problem Statement Mathematically, the received pressure wave at the jth pressure sensor can be written as: yj[m] = ?L?1l=0 hl,jx[m? l] +?K/2?1k=0 Ak,j cos(?km+ ?k,j) + wj[m], m = 0, . . . ,M ? 1, j = 0, . . . , J...

Dixit, Richa

2010-04-01T23:59:59.000Z

450

A study of design oriented cost estimation  

E-Print Network (OSTI)

, embossing, draw- 14 ing, forming and extruding of one inch or less. The value of 5 hours is based on the time taken for the following: 1. machine the unit length using a continuous path wire EDM machine, 2. make the die block, 3. make the punch, 4... Function-Cost Table for the Alternatives for Connecting Gear and Shaft 4. 5 Function-Cost Table for the Check Valve 4. 6 Function-Cost Table for the Gas Damper Assembly. . 69 Al. 1 Spreadsheet Used in Machining Cost Estimation A1. 2 Characterestics...

Raman, Ramchand P.

2012-06-07T23:59:59.000Z

451

Estimated United States Transportation Energy Use 2005  

SciTech Connect

A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

Smith, C A; Simon, A J; Belles, R D

2011-11-09T23:59:59.000Z

452

Position estimation of transceivers in communication networks  

DOE Patents (OSTI)

This invention provides a system and method using wireless communication interfaces coupled with statistical processing of time-of-flight data to locate by position estimation unknown wireless receivers. Such an invention can be applied in sensor network applications, such as environmental monitoring of water in the soil or chemicals in the air where the position of the network nodes is deemed critical. Moreover, the present invention can be arranged to operate in areas where a Global Positioning System (GPS) is not available, such as inside buildings, caves, and tunnels.

Kent, Claudia A. (Pleasanton, CA); Dowla, Farid (Castro Valley, CA)

2008-06-03T23:59:59.000Z

453

Cosmological parameter estimation: impact of CMB aberration  

SciTech Connect

The peculiar motion of an observer with respect to the CMB rest frame induces an apparent deflection of the observed CMB photons, i.e. aberration, and a shift in their frequency, i.e. Doppler effect. Both effects distort the temperature multipoles a{sub lm}'s via a mixing matrix at any l. The common lore when performing a CMB based cosmological parameter estimation is to consider that Doppler affects only the l = 1 multipole, and neglect any other corrections. In this paper we reconsider the validity of this assumption, showing that it is actually not robust when sky cuts are included to model CMB foreground contaminations. Assuming a simple fiducial cosmological model with five parameters, we simulated CMB temperature maps of the sky in a WMAP-like and in a Planck-like experiment and added aberration and Doppler effects to the maps. We then analyzed with a MCMC in a Bayesian framework the maps with and without aberration and Doppler effects in order to assess the ability of reconstructing the parameters of the fiducial model. We find that, depending on the specific realization of the simulated data, the parameters can be biased up to one standard deviation for WMAP and almost two standard deviations for Planck. Therefore we conclude that in general it is not a solid assumption to neglect aberration in a CMB based cosmological parameter estimation.

Catena, Riccardo [Institut fr Theoretische Physik, Friedrich-Hund-Platz 1, 37077 Gttingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de Fsica Fondamental i Institut de Cincies del Cosmos, Universitat de Barcelona, Mart i Franqus 1, 08028 Barcelona (Spain)

2013-04-01T23:59:59.000Z

454

Development of surface mine cost estimating equations  

SciTech Connect

Cost estimating equations were developed to determine capital and operating costs for five surface coal mine models in Central Appalachia, Northern Appalachia, Mid-West, Far-West, and Campbell County, Wyoming. Engineering equations were used to estimate equipment costs for the stripping function and for the coal loading and hauling function for the base case mine and for several mines with different annual production levels and/or different overburden removal requirements. Deferred costs were then determined through application of the base case depreciation schedules, and direct labor costs were easily established once the equipment quantities (and, hence, manpower requirements) were determined. The data points were then fit with appropriate functional forms, and these were then multiplied by appropriate adjustment factors so that the resulting equations yielded the model mine costs for initial and deferred capital and annual operating cost. (The validity of this scaling process is based on the assumption that total initial and deferred capital costs are proportional to the initial and deferred costs for the primary equipment types that were considered and that annual operating cost is proportional to the direct labor costs that were determined based on primary equipment quantities.) Initial capital costs ranged from $3,910,470 in Central Appalachia to $49,296,785; deferred capital costs ranged from $3,220,000 in Central Appalachia to $30,735,000 in Campbell County, Wyoming; and annual operating costs ranged from $2,924,148 in Central Appalachia to $32,708,591 in Campbell County, Wyoming. (DMC)

Not Available

1980-09-26T23:59:59.000Z

455

Estimates of Savings Achievable from Irrigation Controller  

SciTech Connect

This paper performs a literature review and meta-analysis of water savings from several types of advanced irrigation controllers: rain sensors (RS), weather-based irrigation controllers (WBIC), and soil moisture sensors (SMS).The purpose of this work is to derive average water savings per controller type, based to the extent possible on all available data. After a preliminary data scrubbing, we utilized a series of analytical filters to develop our best estimate of average savings. We applied filters to remove data that might bias the sample such as data self-reported by manufacturers, data resulting from studies focusing on high-water users, or data presented in a non-comparable format such as based on total household water use instead of outdoor water use. Because the resulting number of studies was too small to be statistically significant when broken down by controller type, this paper represents a survey and synthesis of available data rather than a definitive statement regarding whether the estimated water savings are representative.

Williams, Alison; Fuchs, Heidi; Whitehead, Camilla Dunham

2014-03-28T23:59:59.000Z

456

Wind speed estimation using multilayer perceptron  

Science Journals Connector (OSTI)

Abstract Wind speed knowledge is prerequisite in the siting of wind turbines. In consequence the wind energy use requires meticulous and specified knowledge of the wind characteristics at a location. This paper presents a method for determining the annual average wind speed at a complex terrain site by using neural networks, when only short term data are available for that site. This information is useful for preliminary calculations of the wind resource at a remote area having only a short time period of wind measurements measurement in a site. Artificial neural networks are useful for implementing non-linear process variables over time, and therefore are a useful tool for estimating the wind speed. The neural network used is multilayer perceptron with three layers and the supervised learning algorithm used is backpropagation. The inputs used in the neural network were wind speed and direction data from a single station, and the training patterns used correspond to sixty days data. The results obtained by simulating the annual average wind speed at the selected site based on data from nearby stations with correlation coefficients above 0.5 were satisfactory, compared with actual values. Reliable estimations were obtained, with errors below 6%.

Ramn Velo; Paz Lpez; Francisco Maseda

2014-01-01T23:59:59.000Z

457

Estimating Power System Dynamic States Using Extended Kalman Filter  

SciTech Connect

AbstractThe state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated dynamic state estimation includes true system dynamics reflected in differential equations, not like previously proposed dynamic state estimation which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.

Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning

2014-10-31T23:59:59.000Z

458

HERITABILITY ESTIMATION IN HIGH DIMENSIONAL LINEAR MIXED MODELS  

E-Print Network (OSTI)

estimator. Our approach is implemented in the R package HiLMM which is available from the web page) the "dark matter" of the genome or the "dark matter" of heritability. To estimate this lacking heritability

Gassiat, Elisabeth

459

An Invariant Form for the Prior Probability in Estimation Problems  

Science Journals Connector (OSTI)

...Invariant Form for the Prior Probability in Estimation Problems...for stating the prior probability in a large class of...invariant form for the prior probability in estimation problems. | Journal Article | Statistics as Topic | STATISTICS...

1946-01-01T23:59:59.000Z

460

ONLINE TRAFFIC LIGHT CONTROL THROUGH GRADIENT ESTIMATION USING  

E-Print Network (OSTI)

Infinitesimal Perturbation and Analysis (IPA) but the model we use to derive the #12;IPA estimates developed which is based on IPA (Cassandras et al., 2002). In this approach, we derive estimators

Panayiotou, Christos

Note: This page contains sample records for the topic "mfw estimates figures" 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

Development of the Potential Energy Savings Estimation (PESE) Toolkit  

E-Print Network (OSTI)

This study has developed a prototype computer tool called the Potential Energy Savings Estimation (PESE) Toolkit. Baltazars methodology for potential energy savings estimation from EBCx/retrofit measures has been improved in several ways...

Liu, J.; Baltazar, J. C.; Claridge, D. E.

462

Probabilistic state estimation in regimes of nonlinear error growth  

E-Print Network (OSTI)

State estimation, or data assimilation as it is often called, is a key component of numerical weather prediction (NWP). Nearly all implementable methods of state estimation suitable for NWP are forced to assume that errors ...

Lawson, W. Gregory, 1975-

2005-01-01T23:59:59.000Z

463

Estimating Coke and Pepsi's price and advertising strategies  

E-Print Network (OSTI)

Working Paper No. 789 ESTIMATING COKE AND PEPSI PRICE S ANDand Advertising Strategies: Coke and Pepsi) by Amos Golan,Revised, March 1999 Estimating Coke and Pepsis Price and

Golan, Amos; Karp, Larry; Perloff, Jeffrey M.

1999-01-01T23:59:59.000Z

464

Updated Capital Cost Estimates for Utility Scale Electricity  

E-Print Network (OSTI)

Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii for Utility Scale Electricity Generating Plants ii Contents Introduction

465

Global estimation of precipitation using opaque microwave bands  

E-Print Network (OSTI)

This thesis describes the use of opaque microwave bands for global estimation of precipitation rate. An algorithm was developed for estimating instantaneous precipitation rate for the Advanced Microwave Sounding Unit (AMSU) ...

Chen, Frederick Wey-Min, 1975-

2004-01-01T23:59:59.000Z

466

Guidelines for Estimating Unmetered Industrial Water Use | Department...  

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

providing a methodology to calculate unmetered sources of industrial water use utilizing engineering estimates. estunmeteredindustrialwtr.pdf More Documents & Publications...

467

Estimating the Economic Cost of Sea-Level Rise  

E-Print Network (OSTI)

To improve the estimate of economic costs of future sea-level rise associated with global climate change,

Sugiyama, Masahiro.

468

Cost Estimating and Cost Management Capacity Building Workshop  

E-Print Network (OSTI)

Cost Estimating and Cost Management Capacity Building Workshop August 11-13, 2010 Coffman Memorial 574 guidebook on cost estimating and cost management · To learn how states are moving forward with the implementation of the guidebook or other initiatives related to cost estimating and cost management · To share

Minnesota, University of

469

Magnetic Field based Heading Estimation for Pedestrian Navigation Environments  

E-Print Network (OSTI)

Magnetic Field based Heading Estimation for Pedestrian Navigation Environments Muhammad Haris Afzal held devices, these other sources are accelerometers for roll and pitch estimates and magnetic field sensors for the heading. In order to utilize the magnetic field sensors for heading estimation

Calgary, University of

470

Hybrid Systems State estimation for hybrid systems: applications  

E-Print Network (OSTI)

Hybrid Systems State estimation for hybrid systems: applications to aircraft tracking I. Hwang, H of a stochastic linear hybrid system, given only the continuous system output data, is studied. Well established techniques for hybrid estimation, known as the multiple model adaptive estimation algorithm

Tomlin, Claire

471

Introduction Hall and Tank (2005) present estimates of ecosystem metab-  

E-Print Network (OSTI)

213 Introduction Hall and Tank (2005) present estimates of ecosystem metab- olism for Giltner in the estimation of ecosystem metabolism by open-channel methods (McCutchan et al. 2002; Hall and Tank 2005). To estimate metabolism in Giltner Spring Creek, Hall and Tank (2005) employ a mass-balance equation

Lewis Jr., William M.

472

Standard errors of parameter estimates in the ETAS model  

E-Print Network (OSTI)

1 Standard errors of parameter estimates in the ETAS model Abstract Point process models of seismic catalogs and in short- term earthquake forecasting. The standard errors of parameter estimates of conventional standard error estimates based on the Hessian matrix of the log- likelihood function of the ETAS

Schoenberg, Frederic Paik (Rick)

473

Fast DOA estimation of incoherently distributed sources by novel propagator  

Science Journals Connector (OSTI)

A low-complexity algorithm is presented for the estimation of the nominal direction-of-arrivals (DOAs) of incoherently distributed (ID) sources. The presented algorithm estimates the nominal DOAs of ID sources by a novel propagator method which makes ... Keywords: DOA estimation, Incoherently distributed sources, Novel propagator, Uniform linear array (ULA)

Zhi Zheng; Guangjun Li

2013-09-01T23:59:59.000Z

474

Fuzzy Estimation of DC Motor Winding Currents Innovatia Software  

E-Print Network (OSTI)

stator windings. an attractive alternative to current estimation using In order to implement an eFuzzy Estimation of DC Motor Winding Currents Dan Simon Innovatia Software 775 Rothrock Circle °ux is rotated in the desired direction of ofuzzy ¯ltering to motor winding current estimation

Simon, Dan

475

Estimating Dataset Size Requirements for Classifying DNA Microarray Data  

E-Print Network (OSTI)

Estimating Dataset Size Requirements for Classifying DNA Microarray Data S. Mukherjee*+#1 , P methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use existing classification results to estimate dataset size requirements

Poggio, Tomaso

476

EPA 402-R-93-076 ESTIMATING RADIOGENIC CANCER RISKS  

E-Print Network (OSTI)

comparing health risk estimates due to low level exposures of low-LET radiation based on models recently This document presents a revised methodology for EPA's estimation of cancer risks due to low-LET radiation, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population

477

Working Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE  

E-Print Network (OSTI)

Working Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE AND ADVERTISING STRATEGIES (formerly Estimating Firms'Mixed Price and Advertising Strategies: Coke and Pepsi) by Amos Golan, Larry S. Karp. #12;Estimating Coke and Pepsi's Price and Advertising Strategies Amos Golan* Larry S. Karp** Jeffrey M

Karp, Larry S.

478

Ten years of probabilistic estimates of biocrystal solvent content: new insights via nonparametric kernel density estimate  

Science Journals Connector (OSTI)

The widely used 2003 Matthews probability calculator predicting the most probable number of molecules in the asymmetric unit as a function of resolution has been updated with 2013 data, and a new parameter-free kernel density estimator has been implemented. Analysis of multiple parameters confirms that solvent content remains the primary and dominating parameter determining the diffraction limit (resolution) of protein crystals.

Weichenberger, C.X.

2014-05-24T23:59:59.000Z

479

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

7/22/2011 7/22/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: May 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly below normal in May 2011.

480

Title, Location, Document Number Estimated Cost Description  

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

1/23/2013 1/23/2013 Transmittal to State: TBD EA Approval: TBD FONSI: TBD EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: Total Estimated Cost $0 Office of Legacy Management Jan-13 Annual NEPA Planning Summary Evaluation of Proposed Grazing on the Maybell and Maybell West UMTRCA sites, Colorado TBD DOE is seeking reuse of the lands associated with the Maybell and Maybell West UMTRCA disposal sites in Moffat County, in northwestern Colorado. Potential impacts from grazing would be evaluated in this EA. The schedule and costs have yet to be determined since EA determination was recently made.

Note: This page contains sample records for the topic "mfw estimates figures" 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

Contractor: Contract Number: Contract Type: Total Estimated  

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

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

482

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

Burn Non-Lignite Coal Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: October 2010 Section 1. Commentary Electric Power Data In October 2010, the contiguous United States experienced temperatures that were above average. Accordingly, the total population-weighted heating degree days for the United States were 15.6 percent below the October normal. Retail sales of electricity remained relatively unchanged from October 2009. Over the same period, the average U.S. retail price of electricity increased 1.8 percent. For the 12-month period ending October 2010, the average U.S.

483

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

6/24/2011 6/24/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: April 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were above normal in April 2011.

484

Flash Estimate July 2005 Final.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: May 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

485

Guidelines for Estimating Unmetered Industrial Water Use  

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

Guidelines for Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of Energy Federal Energy Management Program By Pacific Northwest National Laboratory Brian Boyd Revised September 2011 Source: Michael Kauffmann 2 Contacts Will Lintner Federal Energy Management Program 1000 Independence Ave., S.W. Washington, D.C. 20585-0121 Phone: (202) 586-3120 E-mail: William.Lintner@ee.doe.gov Brian Boyd Pacific Northwest National Laboratory 902 Battelle Boulevard Richland, WA 99352 Phone: (509) 371-6724 E-mail: Brian.Boyd@pnnl.gov 3 Acknowledgements This document was prepared by the Pacific Northwest National Laboratory (PNNL) on behalf of the Federal Energy Management Program. PNNL would like to thank the Federal Water Working Group of the Interagency Energy Management Task Force, which provided initial

486

Guidelines for Estimating Unmetered Industrial Water Use  

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

Guidelines for Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of Energy Federal Energy Management Program By Pacific Northwest National Laboratory Brian Boyd Revised September 2011 Source: Michael Kauffmann 2 Contacts Will Lintner Federal Energy Management Program 1000 Independence Ave., S.W. Washington, D.C. 20585-0121 Phone: (202) 586-3120 E-mail: William.Lintner@ee.doe.gov Brian Boyd Pacific Northwest National Laboratory 902 Battelle Boulevard Richland, WA 99352 Phone: (509) 371-6724 E-mail: Brian.Boyd@pnnl.gov 3 Acknowledgements This document was prepared by the Pacific Northwest National Laboratory (PNNL) on behalf of the Federal Energy Management Program. PNNL would like to thank the Federal Water Working Group of the Interagency Energy Management Task Force, which provided initial

487

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

9/20/2011 9/20/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: July 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures

488

Flash Estimate August 2005 Final.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: June 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

489

Estimating photometric redshifts with artificial neural networks  

E-Print Network (OSTI)

A new approach to estimating photometric redshifts - using Artificial Neural Networks (ANNs) - is investigated. Unlike the standard template-fitting photometric redshift technique, a large spectroscopically-identified training set is required but, where one is available, ANNs produce photometric redshift accuracies at least as good as and often better than the template-fitting method. The Bayesian priors on the underlying redshift distribution are automatically taken into account. Furthermore, inputs other than galaxy colours - such as morphology, angular size and surface brightness - may be easily incorporated, and their utility assessed. Different ANN architectures are tested on a semi-analytic model galaxy catalogue and the results are compared with the template-fitting method. Finally the method is tested on a sample of ~ 20000 galaxies from the Sloan Digital Sky Survey. The r.m.s. redshift error in the range z < 0.35 is ~ 0.021.

Andrew E. Firth; Ofer Lahav; Rachel S. Somerville

2002-03-15T23:59:59.000Z

490

Chapter 17: Estimating Net Savings: Common Practices  

SciTech Connect

This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.

Violette, D. M.; Rathbun, P.

2014-09-01T23:59:59.000Z

491

County-level Estimates for Carbon Distribution in U.S. Croplands, 1990-2005 Method of Estimation  

E-Print Network (OSTI)

to estimate total above-ground biomass. Multiplying aboveground biomass with the root:shoot ratio provides an estimate of below-ground biomass. Finally, summing above- and below-ground biomass provides an estimate-carbon for U.S. crops. Crop Reporting units mass per unit (kg) Conversion to Dry matter Harvest Index Root

492

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

493

Buildings GHG Mitigation Estimator Worksheet, Version 1 | Department of  

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

Buildings GHG Mitigation Estimator Worksheet, Version 1 Buildings GHG Mitigation Estimator Worksheet, Version 1 Buildings GHG Mitigation Estimator Worksheet, Version 1 Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be

494

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

495

Additional Resources for Estimating Building Energy and Cost Savings to  

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

Additional Resources for Estimating Building Energy and Cost Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases October 7, 2013 - 11:06am Addthis For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type. When deciding what resource to use for developing energy- and cost-savings estimates, a program should consider items detailed in Table 1. Table 1.Resources for Estimating Energy Savings Resource Items to consider Advanced Energy Retrofit Guides Based on representative building models of commercial buildings. Guidance available for a limited number of building types using the most common technologies.

496

Variance estimation for radiation analysis and multi-sensor fusion.  

SciTech Connect

Variance estimates that are used in the analysis of radiation measurements must represent all of the measurement and computational uncertainties in order to obtain accurate parameter and uncertainty estimates. This report describes an approach for estimating components of the variance associated with both statistical and computational uncertainties. A multi-sensor fusion method is presented that renders parameter estimates for one-dimensional source models based on input from different types of sensors. Data obtained with multiple types of sensors improve the accuracy of the parameter estimates, and inconsistencies in measurements are also reflected in the uncertainties for the estimated parameter. Specific analysis examples are presented that incorporate a single gross neutron measurement with gamma-ray spectra that contain thousands of channels. The parameter estimation approach is tolerant of computational errors associated with detector response functions and source model approximations.

Mitchell, Dean James

2010-09-01T23:59:59.000Z

497

Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates  

SciTech Connect

The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energys (DOEs) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

2012-12-01T23:59:59.000Z

498

IDC RP2 & 3 US Industry Standard Cost Estimate Summary.  

SciTech Connect

Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

Harris, James M.; Huelskamp, Robert M.

2015-01-01T23:59:59.000Z

499

WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES  

Office of Legacy Management (LM)

ARLV - ARLV - 3 51 - 4 / WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES for the RULISON EVENT Final Report Albert H . S t o u t , Ray E . White, and V i r g i l E. Quinn Environmental Science Services Administration A i r Resources Laboratory - Las Vegas PROPERW OF U. S. GOVERNMENT Prepared Under Contract SF-54-351 f o r the Nevada Operations O f f i c e U . ' S . Atomic Energy Commission January 1970 LEGAL NOTSCCE ; L *U . . . . . - . T h i s r e p o r t w a s prepared a s an account o f Government spon- s o r e d work. N e i t h e r t h e United S t a t e s , nor t h e Commission, . n o r any person a c t i n g on b e h a l f of t h e Commission: A . Makes any warranty o r r e p r e s e n t a t i o n , e x p r e s s e d o r implied, w i t h r e s p e c t t o the a c c u r a c y , completeness, or u s e h l n e s s o f t h e information c o n t a i n e d i n t h i s r e p o r t , o r t h a

500

Pruning Neural Networks with Distribution Estimation Algorithms  

SciTech Connect

This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algorithm (GA), the paper considers three distribution estimation algorithms (DEAs): a compact GA, an extended compact GA, and the Bayesian Optimization Algorithm. The objective is to determine if the DEAs present advantages over the simple GA in terms of accuracy or speed in this problem. The experiments used a feed forward neural network trained with standard back propagation and public-domain and artificial data sets. The pruned networks seemed to have better or equal accuracy than the original fully-connected networks. Only in a few cases, pruning resulted in less accurate networks. We found few differences in the accuracy of the networks pruned by the four EAs, but found important differences in the execution time. The results suggest that a simple GA with a small population might be the best algorithm for pruning networks on the data sets we tested.

Cantu-Paz, E

2003-01-15T23:59:59.000Z