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1

Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same soils appear to more efficiently retain TN and some TOC at greater depths. Very low DOC in both soils indicate efficient C utilization and incorporation in  

E-Print Network [OSTI]

Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same indicate efficient C utilization and incorporation in microbial or SOM pools. Greater mineral N in granite percent. There is not evidence of the impact of increased available C on TOC in granitic soils. Soil

Norton, Jay B.

2

Factors Affecting the Performance of Mechanical Cotton Harvesters (Stripper Type), Extractors and Cleaners.  

E-Print Network [OSTI]

TEXAS AGRICULTURAL EXPERIMENT STATION R. D. LEWIS. DIRECTOR College Station, Texas ULLETIN NO. 686 DECEMBER, 1946 FACTORS AFFECTING THE PERFORMANCE OF MECHANICAL COTTON HARVESTERS (STRIPPER TYPE), EXTRACTORS AND CLEANERS H. P. SMITH, D. T... stripping machines during the past five years. Several concerns are now building two-row tractor mounted machines for the commercial trade. The performance of the stripper type cotton harvester is influenced by a number of factors, Tests to determine...

Jones, D. L. (Don L.); Killough, D. T. (David Thornton); Smith, H. P. (Harris Pearson)

1946-01-01T23:59:59.000Z

3

27. 5-percent silicon concentrator solar cells  

SciTech Connect (OSTI)

Recent advances in silicon solar cells using the backside point-contact configuration have been extended resulting in 27.5-percent efficiencies at 10 W/sq cm (100 suns, 24 C), making these the most efficient solar cells reported to date. The one-sun efficiencies under an AM1.5 spectrum normalized to 100 mW/sq cm are 22 percent at 24 C based on the design area of the concentrator cell. The improvements reported here are largely due to the incorportation of optical light trapping to enhance the absorption of weakly absorbed near bandgap light. These results approach the projected efficiencies for a mature technology which are 23-24 percent at one sun and 29 percent in the 100-350-sun (10-35 W/sq cm) range. 10 references.

Sinton, R.A.; Kwark, Y.; Gan, J.Y.; Swanson, R.M.

1986-10-01T23:59:59.000Z

4

Factors influencing plant succession following fire in Ashe juniper woodland types in Real County, Texas  

E-Print Network [OSTI]

FACTORS INFLUENCING PLANT SUCCESSION FOLLOWING FIRE IN ASHE JUHIPER WOODLAND TYPES IN REAL COUNTY& TEXAS By DONAID L. RUSS Approved as to style end content by: ~c-". '~ Z). 4:-. = Chairman of Committee Bead of Depantme Nay l954. LIBgARV A... A M GOLLEGL OF TEXAS FACTORS INFLUENCING PLANT SUCCESSION FOLLOWING FIRE IN ASHE JUNIPER WO(NILAND TIPES IN REAL COUNTI, TEUIS Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfillment oi...

Huss, Donald Lee

1954-01-01T23:59:59.000Z

5

Posting type Advisory Subject Shifts in Mo-anode XRF element calibration factors  

E-Print Network [OSTI]

Posting type Advisory Subject Shifts in Mo-anode XRF element calibration factors Module/Species A@crocker.ucdavis.edu Supporting information A molybdenum-anode XRF instrument is used to analyze the heavier elements (Ni, Cu, Zn with lighter deposits were acquired and used in the Mo-anode XRF system. The new calibration foils resulted

Fischer, Emily V.

6

Molecular line intensities as measures of cloud masses - II. Conversion factors for specific galaxy types  

E-Print Network [OSTI]

We present theoretically-established values of the CO-to-H2 and C-to-H2 conversion factors that may be used to estimate the gas masses of external galaxies. We consider four distinct galaxy types, represented by M51, NGC 6946, M82 and SMC N27. The physical parameters that best represent the conditions within the molecular clouds in each of the galaxy types are estimated using a chi^2 analysis of several observed atomic fine structure and CO rotational lines. This analysis is explored over a wide range of density, radiation field, extinction, and other relevant parameters. Using these estimated physical conditions in methods that we have previously established, CO-to-H2 conversion factors are then computed for CO transitions up to J=9-8. For the conventional CO(1-0) transition, the computed conversion factor varies significantly below and above the canonical value for the Milky Way in the four galaxy types considered. Since atomic carbon emission is now frequently used as a probe of external galaxies, we also present, for the first time, the C-to-H2 conversion factor for this emission in the four galaxy types considered.

T. A. Bell; S. Viti; D. A. Williams

2007-04-19T23:59:59.000Z

7

Daintain/AIF-1 (Allograft Inflammatory Factor-1) accelerates type 1 diabetes in NOD mice  

SciTech Connect (OSTI)

Highlights: Black-Right-Pointing-Pointer Daintain/AIF-1 is over-expressed in the blood of NOD mice suffering from insulitis. Black-Right-Pointing-Pointer Daintain/AIF-1 stimulates white blood cell proliferation in NOD mice. Black-Right-Pointing-Pointer Daintain/AIF-1 increases blood glucose levels and triggers type 1 diabetes. Black-Right-Pointing-Pointer Daintain/AIF-1 accelerates insulitis, while its antibody prevents insulitis. Black-Right-Pointing-Pointer Daintain/AIF-1 enhances the levels of nitric oxide in the pancreases of NOD mice. -- Abstract: A large body of experimental evidence suggests that cytokines trigger pancreatic {beta}-cell death in type 1 diabetes mellitus. Daintain/AIF-1 (Allograft Inflammatory Factor-1), a specific marker for activated macrophages, is accumulated in the pancreatic islets of pre-diabetic BB rats. In the present study, we demonstrate that daintain/AIF-1 is released into blood and the levels of daintain/AIF-1 in the blood of type 1 diabetes-prone non-obese diabetic (NOD) mice suffering from insulitis are significantly higher than that in healthy NOD mice. When injected intravenously into NOD mice, daintain/AIF-1 stimulates white blood cell proliferation, increases the concentrations of blood glucose, impairs insulin expression, up-regulates nitric oxide (NO) production in pancreases and accelerates diabetes in NOD mice, while the antibody against daintain/AIF-1 delays or prevents insulitis in NOD mice. These results imply daintain/AIF-1 triggers type 1 diabetes probably via arousing immune cells activation and induction of NO production in pancreas of NOD mice.

Zhao, Yan-Ying, E-mail: biozyy@163.com [College of Life Science and Technology, Southwest University for Nationalities, Chengdu 610041 (China)] [College of Life Science and Technology, Southwest University for Nationalities, Chengdu 610041 (China); Huang, Xin-Yuan [College of Life Science and Technology, Hubei Engineering University, Xiaogan 432000 (China)] [College of Life Science and Technology, Hubei Engineering University, Xiaogan 432000 (China); Chen, Zheng-Wang [Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China)] [Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China)

2012-10-26T23:59:59.000Z

8

Studies on Shiga toxin type 1 mediated tumor necrosis factor synthesis in a human monocytic cell line  

E-Print Network [OSTI]

STUDIES ON SHIGA TOXIN TYPE 1 MEDIATED TUMOR NECROSIS FACTOR SYNTHESIS IN A HUMAN MONOCYTIC CELL LINE A Thesis by RAMESH SAKIRI Submitted to the Office of Graduate Studies of Texas AII M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 1997 Major Subject: Biology STUDIES ON SHIGA TOXIN TYPE 1 MEDIATED TUMOR NECROSIS FACTOR SYNTHESIS IN A HUMAN MONOCYTIC CELL LINE A Thesis by RAMESH SAKIRI Submitted to Texas A8M University in partial...

Sakiri, Ramesh

1997-01-01T23:59:59.000Z

9

Effects of pelleting, dietary protein level and unidentified factors on feed cost and the performance of egg type layers  

E-Print Network [OSTI]

EFFECTS OF PELLETING, DIETARY PROTEIN LEVEL AND UNIDENTIFIED FACTORS ON FEED COST AND THE PERFORMANCE OF EGG TYPE LAYERS A Thesis by Hector Reruns]eewa Submitted to the Graduate School of the Agricultural and Mechanical College of Texas... in Partial Fulfillment of the requirements for the Degree of Master of Science August 1961 Ma)or Sub)ect - Poultry Science EPPECTS OP PELLETING, DIETARY PROTEIN LEVEL AND DNIDENTIPTED FACTORS ON PEED COST AND THE PERFORNANCE OP BIN' TTPE LAYERS A...

Karunajeewa, Hector

1961-01-01T23:59:59.000Z

10

Dynamic shape factors for hydox-generated plutonium dioxide-type non-sperical objects  

E-Print Network [OSTI]

. . . . . . . . . 1X NOMENCLATURE INTRODUCTION. BACKGROUND. THEORY. METHOD. . 14 Dynamic Shape Factors of a Hedron Characterized as a Single Variable, x. . Dynamic Shape Factors of a Hedron Characterized as Two Variables, x and y. Dynamic Shape Factors of a..., and this thesis to evaluates effects of the density and dynamic shape factors on the settling velocities of plutonium dioxide. THEORY Assume a particle in motion in a viscous fluid with velocity v. The fluid exerts a drag force on the particle defined as Fn...

Lohaus, James Harold

2012-06-07T23:59:59.000Z

11

Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.51 " "5. Number8. Percent

12

Lattice calculation of the pion form factor with Ginsparg-Wilson-type fermions  

SciTech Connect (OSTI)

Results for Monte Carlo calculations of the electromagnetic vector and scalar form factors of the pion in a quenched simulation are presented. We work with two different lattice volumes up to a spatial size of 2.4 fm at a lattice spacing of 0.148 fm. The pion form factors in the spacelike region are determined for pion masses down to 340 MeV.

Capitani, Stefano; Gattringer, Christof; Lang, C.B. [Institut fuer Physik, FB Theoretische Physik, Universitaet Graz, A-8010 Graz (Austria)

2006-02-01T23:59:59.000Z

13

A lattice calculation of the pion form factor with Ginsparg-Wilson-type fermions  

E-Print Network [OSTI]

Results for Monte Carlo calculations of the electromagnetic vector and scalar form factors of the pion in a quenched simulation are presented. We work with two different lattice volumes up to a spatial size of 2.4 fm at a lattice spacing of 0.148 fm. The pion form factors in the space-like region are determined for pion masses down to 340 MeV.

Stefano Capitani; Christof Gattringer; C. B. Lang

2006-02-03T23:59:59.000Z

14

Relationship among religious coping, psychosocial factors, and quality of life in individuals with type 2 diabetes  

E-Print Network [OSTI]

The purpose of this study was to examine the relationship among religious coping, acceptance of diabetes, social support, diabetes management, and quality of life among individuals with type 2 diabetes (T2DM). Religious coping, acceptance...

Lager, Julia M.

2009-06-02T23:59:59.000Z

15

Brush types of the Nueces River watershed as related to soil, climatic and geological factors  

E-Print Network [OSTI]

, Acacia tortuosa; guayacan, Porlieria angusti- folia; and leatherstem, Jatropha spathulata. These species were generally found in the common mixture of the remaining vegetational types of the 22 mesquite complex. In specific areas, species which...

Huss, Donald Lee

1959-01-01T23:59:59.000Z

16

Risk factors for cognitive decline in older people with type 2 diabetes   

E-Print Network [OSTI]

People with type 2 diabetes are at increased risk of age-related cognitive impairment. Previous literature has focused on case-control studies comparing rates of cognitive impairment in patients with and without diabetes. ...

Feinkohl, Insa

2014-07-05T23:59:59.000Z

17

Large Thermoelectric Power Factor in P-type Si (110)/[110] Ultra-Thin-Layers Compared to Differently Oriented Channels  

E-Print Network [OSTI]

The ability of a material to convert heat into electricity is measured by the dimensionless thermoelectric (TE1 Large Thermoelectric Power Factor in P-type Si (110)/[110] Ultra-Thin-Layers Compared the thermoelectric power factor of ultra-thin-body p-type Si layers of thicknesses from W=3nm up to 10nm. We show

18

Nitrification Capacities of Texas Soil Types and Factors which Affect Nitrification.  

E-Print Network [OSTI]

and Chemical Conversion of Nitrites to Nitrates .......... -31 . .................................. Effect of Sunlight on Nitrification 2.5 Effect of Water Content, Puddling and Water-logging on Nitrification 27 Nitrification of Ammonium Salts of Organic... wooden pestle in a ~vooclen box. Sinaller san- ples were passed through a I millimeter (111.m.) sieve. The average chemical composition of soil types of Texas is cliq- cussed in Texas Station Bulletin No. 549 (26). In the nitrification tests (eS), 100...

Sterges, A. J.; Fraps, G S. (George Stronach)

1947-01-01T23:59:59.000Z

19

Borna disease virus nucleoprotein inhibits type I interferon induction through the interferon regulatory factor 7 pathway  

SciTech Connect (OSTI)

Highlights: •IRF7 nuclear localisation was inhibited by BDV persistently infected. •BDV N protein resistant to IFN induction both in BDV infected OL cell and N protein plasmid transfected OL cell. •BDV N protein is related to the inhibition of IRF7 nuclear localisation. -- Abstract: The expression of type I interferon (IFN) is one of the most potent innate defences against viral infection in higher vertebrates. Borna disease virus (BDV) establishes persistent, noncytolytic infections in animals and in cultured cells. Early studies have shown that the BDV phosphoprotein can inhibit the activation of type I IFN through the TBK1–IRF3 pathway. The function of the BDV nucleoprotein in the inhibition of IFN activity is not yet clear. In this study, we demonstrated IRF7 activation and increased IFN-?/? expression in a BDV-persistently infected human oligodendroglia cell line following RNA interference-mediated BDV nucleoprotein silencing. Furthermore, we showed that BDV nucleoprotein prevented the nuclear localisation of IRF7 and inhibited endogenous IFN induction by poly(I:C), coxsackie virus B3 and IFN-?. Our findings provide evidence for a previously undescribed mechanism by which the BDV nucleoprotein inhibits type I IFN expression by interfering with the IRF7 pathway.

Song, Wuqi [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China) [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China); Department of Microbiology, Harbin Medical University (China); Kao, Wenping [The Key Laboratory of Pathogenic Biology, Heilongjiang Higher Education Institutions (China) [The Key Laboratory of Pathogenic Biology, Heilongjiang Higher Education Institutions (China); Department of Microbiology, Harbin Medical University (China); Zhai, Aixia [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China)] [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China); Qian, Jun; Li, Yujun [The Key Laboratory of Pathogenic Biology, Heilongjiang Higher Education Institutions (China)] [The Key Laboratory of Pathogenic Biology, Heilongjiang Higher Education Institutions (China); Zhang, Qingmeng [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China)] [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China); Zhao, Hong; Hu, Yunlong; Li, Hui [Department of Microbiology, Harbin Medical University (China)] [Department of Microbiology, Harbin Medical University (China); Zhang, Fengmin, E-mail: fengminzhang@ems.hrbmu.edu.cn [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China) [The Heilongjiang Key Laboratory of Immunity and Infection, Heilongjiang (China); The Key Laboratory of Pathogenic Biology, Heilongjiang Higher Education Institutions (China); Department of Microbiology, Harbin Medical University (China)

2013-09-06T23:59:59.000Z

20

X-RAY SCALING RELATION IN EARLY-TYPE GALAXIES: DARK MATTER AS A PRIMARY FACTOR IN RETAINING HOT GAS  

SciTech Connect (OSTI)

We have revisited the X-ray scaling relations of early-type galaxies (ETG) by investigating, for the first time, the L{sub X,Gas}-M{sub Total} relation in a sample of 14 ETGs. In contrast to the large scatter (a factor of 10{sup 2}-10{sup 3}) in the L{sub X,Total}-L{sub B} relation, we found a tight correlation between these physically motivated quantities with an rms deviation of a factor of three in L{sub X,Gas} = 10{sup 38}-10{sup 43} erg s{sup –1} or M{sub Total} = a few × 10{sup 10} to a few × 10{sup 12} M{sub ?}. More striking, this relation becomes even tighter with an rms deviation of a factor of 1.3 among the gas-rich galaxies (with L{sub X,Gas} > 10{sup 40} erg s{sup –1}). In a simple power-law form, the new relation is (L{sub X,Gas}/10{sup 40} erg s{sup –1}) = (M{sub Total}/3.2 × 10{sup 11} M{sub ?}){sup 3}. This relation is also consistent with the steep relation between the gas luminosity and temperature, L{sub X,Gas} ? T{sub Gas} {sup 4.5}, identified by Boroson et al., if the gas is virialized. Our results indicate that the total mass of an ETG is the primary factor in regulating the amount of hot gas. Among the gas-poor galaxies (with L{sub X,Gas} < a few × 10{sup 39} erg s{sup –1}), the scatter in the L{sub X,Gas}-M{sub Total} (and L{sub X,Gas}-T{sub Gas}) relation increases, suggesting that secondary factors (e.g., rotation, flattening, star formation history, cold gas, environment, etc.) may become important.

Kim, Dong-Woo; Fabbiano, Giuseppina [Smithsonian Astrophysical Observatory, 60 Garden Street, Cambridge, MA 02138 (United States)

2013-10-20T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

Percent of Commercial Natural Gas Deliveries in Louisiana Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) Year Jan

22

Percent of Commercial Natural Gas Deliveries in Massachusetts Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) Year

23

Percent of Commercial Natural Gas Deliveries in Mississippi Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) YearPricethe

24

Percent of Commercial Natural Gas Deliveries in New Hampshire Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Priceby the Price

25

Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent) Year Jan

26

Percent of Commercial Natural Gas Deliveries in South Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent) Yearby the

27

Percent of Commercial Natural Gas Deliveries in Tennessee Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent) Yearbythe

28

Percent of Commercial Natural Gas Deliveries in Washington Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Pricethe Price (Percent)

29

Percent of Commercial Natural Gas Deliveries in West Virginia Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Pricethe Price (Percent)by

30

Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar AprPrice (Percent)Pricethe

31

Percent of Industrial Natural Gas Deliveries in Connecticut Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb MarPrice (Percent) Decadethe

32

Percent of Industrial Natural Gas Deliveries in Connecticut Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb MarPrice (Percent) Decadethethe

33

Percent of Industrial Natural Gas Deliveries in Louisiana Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent) Year JanPricethe

34

Percent of Industrial Natural Gas Deliveries in Louisiana Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent) Year

35

Percent of Industrial Natural Gas Deliveries in Massachusetts Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Price

36

Percent of Industrial Natural Gas Deliveries in Massachusetts Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Priceby the Price

37

Percent of Industrial Natural Gas Deliveries in Minnesota Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Priceby thePricethe

38

Percent of Industrial Natural Gas Deliveries in Minnesota Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Priceby

39

Percent of Industrial Natural Gas Deliveries in Mississippi Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Pricebythe Price

40

Percent of Industrial Natural Gas Deliveries in Mississippi Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Pricebythe Pricethe

Note: This page contains sample records for the topic "factor percent type" 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

Percent of Industrial Natural Gas Deliveries in New Hampshire Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent) YearPriceby

42

Percent of Industrial Natural Gas Deliveries in New Hampshire Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent) YearPricebyby

43

Percent of Industrial Natural Gas Deliveries in North Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby the Price (Percent)

44

Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby thePrice (Percent)the

45

Percent of Commercial Natural Gas Deliveries in Minnesota Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) YearPricethe Price

46

Percent of Commercial Natural Gas Deliveries in North Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Priceby thePriceby

47

Table B29. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 199  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.51 " "5. Number8.

48

Table B30. Percent of Floorspace Lit When Open, Number of Buildings and Floorspa  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.51 " "5. Number8..

49

Meeting the Challenge: The Prospect of Achieving 30 Percent Savings Through the Weatherization Assistance Program  

SciTech Connect (OSTI)

The U.S. Department of Energy's (DOE's) Weatherization Assistance Program has been installing energy-efficiency measures in low-income houses for over 25 years, achieving savings exceeding 30 percent of natural gas used for space heating. Recently, as part of its Weatherization Plus initiative, the Weatherization Assistance Program adopted the goal of achieving 30 percent energy savings for all household energy usage. The expansion of the Weatherization Assistance Program to include electric baseload components such as lighting and refrigerators provides additional opportunities for saving energy and meeting this ambitious goal. This report documents an Oak Ridge National Laboratory study that examined the potential savings that could be achieved by installing various weatherization measures in different types of dwellings throughout the country. Three different definitions of savings are used: (1) reductions in pre-weatherization expenditures; (2) savings in the amount of energy consumed at the house site, regardless of fuel type (''site Btus''); and (3) savings in the total amount of energy consumed at the source (''source Btus''), which reflects the fact that each Btu* of electricity consumed at the household level requires approximately three Btus to produce at the generation source. In addition, the effects of weatherization efforts on carbon dioxide (CO{sub 2}) emissions are examined.

Schweitzer, M.

2002-05-31T23:59:59.000Z

50

Estimation of alkali metal mole percent and weight of calcined solids for ICPP calcine  

SciTech Connect (OSTI)

An updated method is given for estimation of the weight of calcined solids and volume reduction factor for calcine, and mole percent sodium plus potassium in calcine produced from radioactive waste in a fluidized-bed calciner at the Idaho Chemical Processing Plant (ICPP). It incorporates new information on a calcine chemistry from a study by K. N. Brewer and G. F. Kessinger in which they determined the compounds formed during calcination by both high temperature thermodynamic equilibrium calculations and by analyses of pilot-plant calcines. An explanation of the assumptions made in the calculations, along with several example calculations and comparisons with the previous calculation methods are included. This method allows calculation of the heat generation rate and sodium content of the calcine, which are used to determine the suitability of the calcine for storage in the ICPP bin sets. Although this method accurately predicts the weight of calcine and mole percent Na + K for its intended purpose, the compounds predicted should only be used as a first approximation for other purposes since the calculation does not incorporate all of the compounds, such as mixed-metal oxides, which may form during calcination.

O`Brien, B.H.

1995-03-01T23:59:59.000Z

51

Ninety - Two Percent Minimum Heater Efficiency By 1980  

E-Print Network [OSTI]

exchangers used to transfer heat to tqe com- I bustion air are divided into two groups. IndiIlect ! heat exchangers called "regenerative" types an~ direct heat exchangers called "recuperative" types. In a regenerative air heater, heat is transferred i...~duced I draft, air preheat system. This system can ac~omodate either a regenerative or recuperative air heater and ! Fig. 5 - Heat recovery systems. 857 ESL-IE-80-04-157 Proceedings from the Second Industrial Energy Technology Conference Houston, TX...

Mieth, H. C.; Hardie, J. E.

1980-01-01T23:59:59.000Z

52

Near Zero Emissions at 50 Percent Thermal Efficiency  

SciTech Connect (OSTI)

Detroit Diesel Corporation (DDC) has successfully completed a 10 year DOE sponsored heavy-duty truck engine program, hereafter referred to as the NZ-50 program. This program was split into two major phases. The first phase was called â??Near-Zero Emission at 50 Percent Thermal Efficiency,â?ť and was completed in 2007. The second phase was initiated in 2006, and this phase was named â??Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines.â?ť This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: â?˘ Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. â?˘ Implement an integrated analytical/experimental development plan for improving subsystem and component capabilities in support of emerging engine technologies for emissions and thermal efficiency goals of the program. â?˘ Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. â?˘ Optimize subsystem components and engine controls (calibration) to demonstrate thermal efficiency that is in compliance with the DOE 2005 Joule milestone, meaning greater than 45% thermal efficiency at 2007 emission levels. â?˘ Develop technology roadmap for meeting emission regulations of 2010 and beyond while mitigating the associated degradation in engine fuel consumption. Ultimately, develop technical prime-path for meeting the overall goal of the NZ-50 program, i.e., 50% thermal efficiency at 2010 regulated emissions. These objectives were successfully met during the course of the NZ-50 program. The most noteworthy achievements in this program are summarized as follows: â?˘ Demonstrated technologies through advanced integrated experiments and analysis to achieve the technical objectives of the NZ-50 program with 50.2% equivalent thermal efficiency under EPA 2010 emissions regulations. â?˘ Experimentally demonstrate brake efficiency of 48.5% at EPA 2010 emission level at single steady-state point. â?˘ Analytically demonstrated additional brake efficiency benefits using advanced aftertreatment configuration concept and air system enhancement including, but not limited to, turbo-compound, variable valve actuator system, and new cylinder head redesign, thus helping to achieve the final program goals. â?˘ Experimentally demonstrated EPA 2010 emissions over FTP cycles using advanced integrated engine and aftertreatment system. These aggressive thermal efficiency and emissions results were achieved by applying a robust systems technology development methodology. It used integrated analytical and experimental tools for subsystem component optimization encompassing advanced fuel injection system, increased EGR cooling capacity, combustion process optimization, and advanced aftertreatment technologies. Model based controls employing multiple input and output techniques enabled efficient integration of the various subsystems and ensured optimal performance of each system within the total engine package. . The key objective of the NZ-50 program for the second phase was to explore advancements in engine combustion systems using high-efficiency clean combustion (HECC) techniques to minimize cylinder-out emissions, targeting a 10% efficiency improvement. The most noteworthy achievements in this phase of the program are summarized as follows: â?˘ Experimentally and analytically evaluated numerous air system improvements related to the turbocharger and variable valve actuation. Some of the items tested proved to be very successful and modifications to the turbine discovered in this program have since been incorporated into production hardware. â?˘ The combustion system development continued with evaluation of various designs of the 2-step piston bowl. Significant improvemen

None

2012-12-31T23:59:59.000Z

53

Rhode Island Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998Hampshire"RhodeWest Virginia" "Emission Type",.7Decade Year-0

54

Rhode Island Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998Hampshire"RhodeWest Virginia" "Emission Type",.7Decade

55

EECBG 11-002 Clarification of Ten Percent Limitation on Use of...  

Energy Savers [EERE]

Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent limitation, administrative expenses, the...

56

Policy ForumSeries "Beyond 33 Percent: California's Renewable Energy Future,  

E-Print Network [OSTI]

Policy ForumSeries "Beyond 33 Percent: California's Renewable Energy Future, From Near with the UC Davis Policy Institute is the UC Davis Energy Institute. Renewables Beyond 33 Percent October 17 as it transitions to a renewable energy future. Featuring panelists from government, industry and academia

California at Davis, University of

57

PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy, Disputes Fusion  

E-Print Network [OSTI]

PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy his support for a 12 percent increase in federal funding for nuclear energy research, but challenged of modern nuclear power plants. Domenici is chairman of the Energy and Water Development Appropriations

58

Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent...  

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

Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35...

59

If I generate 20 percent of my national electricity from wind...  

Open Energy Info (EERE)

generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

60

Comparison of the percent recoveries of activated charcoal and Spherocarb after storage utilizing thermal desorption  

E-Print Network [OSTI]

COMPARISON OF THE PERCENT RECOVERIES OF ACTIVATED CHARCOAL AND SPHEROCARB AFTER STORAGE UTILIZING THERMAL DESORPTION A Thesis by Paul Emery Sti dham Submitted to the Graduate College of Texas Al!M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE December 1980 Major Subject: Industrial Hygiene COMPARISON OF THE PERCENT RECOVERIES OF ACTIVATED CHARCOAL AND SPHEROCARB AFTER STORAGE UTILIZING THERMAL DESORPTI ON A Thesis by Paul Emery Stidham...

Stidham, Paul Emery

1980-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

26-percent efficient point-junction concentrator solar cells with a front metal grid  

SciTech Connect (OSTI)

This paper reports on silicon concentrator cells with point diffusions and metal contacts on both the front and back sides. The design minimizes reflection losses by forming an inverted pyramid topography on the front surface and by shaping the metal grid lines in the form of a triangular ridge. A short-circuit current density of 39.6 mA/cm{sup 2} has been achieved even though the front grid covers 16 percent of the cell's active area of 1.56 cm{sup 2}. This, together with an open-circuit voltage of 700 mV, has led to an efficiency of 22 percent at one sun, AM1.5 global spectrum. Under direct-spectrum, 8.8-W/cm{sup 2}, concentrated light, the efficiency is 26 percent. This is the highest ever reported for a silicon cell having a front metal grid.

Cuevas, A.; Sinton, R.A.; Midkiff, N.E.; Swanson, R.M. (Stanford Univ., CA (USA). Dept. of Electrical Engineering)

1990-01-01T23:59:59.000Z

62

Percent of Industrial Natural Gas Deliveries in Maryland Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Price (Percent)

63

Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Price (Percent)

64

Coal deposit characterization by gamma-gamma density/percent dry ash relationships  

E-Print Network [OSTI]

Density/Ash Relationship . APPLICATION OF THE GAMMA-GAMMA DENSITY/PERCENT DRY ASH RELATIONSHIPS The Density/Ash Relationship of a South Texas Lignite Deposit Characterization of a South Texas Lignite Deposit CONCLUSIONS REFERENCES. 52 53 53 53... 58 64 67 6g 80 87 LIST OF TABLES TABLE I Coal Classification by Rank. 2 Common Minerals in Coal. 3 Results of Linear Regression Analyses for a South Texas Lignite Deposit. 4 Variability of Geophysica11y-Derived Percent Dry Ash Values...

Wright, David Scott

1984-01-01T23:59:59.000Z

65

Public Health FAT FACTORS  

E-Print Network [OSTI]

: THE UNITED STATES SPENDS MORE ON HEALTH CARE THAN ANY OTHER COUNTRY. YET WE CONTINUE TO FALL FAR BEHIND States spends an astonishing percent of our gross domestic product on health care--significantly moreColumbia Public Health HOT TOPIC Climate Change FAT FACTORS Obesity Prevention BOOK SMART

Qian, Ning

66

Broiler production in Texas has expanded at an annual rate of 7 percent since 1986 with  

E-Print Network [OSTI]

Broiler production in Texas has expanded at an annual rate of 7 percent since 1986 with 371 million in energy relative to grain or high quality forage. If used as a protein and mineral supplement in a feed litter feeding in the eastern half of Texas. Feed Quality Broiler Litter Not all broiler litter

Mukhtar, Saqib

67

Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density and Percent Lipids  

E-Print Network [OSTI]

Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density impedance analysis (BIA) as a nonlethal means of predicting energy density and percent lipids for three fish. Although models that combined BIA measures with fish wet mass provided strong predictions of total energy

68

Comparison of analytical methods for percent phosphorus determination in electroless nickel plate  

SciTech Connect (OSTI)

This report presents the results of the evaluation of five analytical methods for percent phosphorus determination and makes recommendations for the use of common methods to provide accurate and precise results in the field. The analytical methods are: (1) ASTM-E39 gravimetric method; (2) development colorimetric method; (3) independent colorimetric method; (4) UCC-ND alkalimetric method; (5) UCC-ND inductively coupled plasma method. Analysis of the data indicates the concentration of phosphorus in the electroless nickel plate sample to be approximately 12.1%. All of the methods evaluated demonstrated the capability of determining percent phosphorus accurately through the accumulation of a large number of readings. The primary difference among the methods is the precision capabilites of individual tests. 3 figures, 6 tables.

Owens, W.W.; Sullivan, H.H.

1982-08-13T23:59:59.000Z

69

Percent of Commercial Natural Gas Deliveries in Florida Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbed Methane(DollarsPrice (Percent)

70

Percent of Commercial Natural Gas Deliveries in Kansas Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) Year Jan Feb

71

Percent of Commercial Natural Gas Deliveries in Michigan Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) YearPrice

72

Percent of Commercial Natural Gas Deliveries in Montana Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)

73

Percent of Commercial Natural Gas Deliveries in Nevada Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Price

74

Percent of Commercial Natural Gas Deliveries in New Jersey Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Priceby the Pricethe

75

Percent of Commercial Natural Gas Deliveries in New Mexico Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Priceby the

76

Percent of Commercial Natural Gas Deliveries in North Dakota Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Priceby

77

Percent of Commercial Natural Gas Deliveries in Ohio Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)PricebyPrice

78

Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)PricebyPricePrice

79

Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent) Year

80

Percent of Commercial Natural Gas Deliveries in South Dakota Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent) Yearby

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


81

Percent of Commercial Natural Gas Deliveries in Texas Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent)

82

Percent of Commercial Natural Gas Deliveries in Utah Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent)Price

83

Percent of Commercial Natural Gas Deliveries in Vermont Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPricethe Price (Percent)PricePrice

84

Effects of time constraint and percent defective on visual inspection performance  

E-Print Network [OSTI]

. Richard 0 . Huchi ngson The objective of this study was to evaluate inspection perfor- mance under various levels of percent defective per sample and time available to inspect. Three samples of matrices (40 in each sample) containing 10/ (A), 25ll (B... administered to each subject to determine how well their test scores predicted performance. The subjects' task consisted of inspecting the samples of matrices presented in series on a CRT screen. Experiment I was performed to determine an average inspection...

Gilmore, Walter Edgar

1982-01-01T23:59:59.000Z

85

Ultrasonic methods for measuring liquid viscosity and volume percent of solids  

SciTech Connect (OSTI)

This report describes two ultrasonic techniques under development at Argonne National Laboratory (ANL) in support of the tank-waste transport effort undertaken by the U.S. Department of Energy in treating low-level nuclear waste. The techniques are intended to provide continuous on-line measurements of waste viscosity and volume percent of solids in a waste transport line. The ultrasonic technique being developed for waste-viscosity measurement is based on the patented ANL viscometer. Focus of the viscometer development in this project is on improving measurement accuracy, stability, and range, particularly in the low-viscosity range (<30 cP). A prototype instrument has been designed and tested in the laboratory. Better than 1% accuracy in liquid density measurement can be obtained by using either a polyetherimide or polystyrene wedge. To measure low viscosities, a thin-wedge design has been developed and shows good sensitivity down to 5 cP. The technique for measuring volume percent of solids is based on ultrasonic wave scattering and phase velocity variation. This report covers a survey of multiple scattering theories and other phenomenological approaches. A theoretical model leading to development of an ultrasonic instrument for measuring volume percent of solids is proposed, and preliminary measurement data are presented.

Sheen, S.H.; Chien, H.T.; Raptis, A.C.

1997-02-01T23:59:59.000Z

86

Percent of Commercial Natural Gas Deliveries in Florida Represented by the  

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

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87

Percent of Commercial Natural Gas Deliveries in Indiana Represented by the  

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

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88

Percent of Commercial Natural Gas Deliveries in Iowa Represented by the  

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

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89

Percent of Commercial Natural Gas Deliveries in Kansas Represented by the  

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

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90

Percent of Commercial Natural Gas Deliveries in Ohio Represented by the  

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

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91

Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the  

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

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92

Percent of Commercial Natural Gas Deliveries in Oregon Represented by the  

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

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93

Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by  

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

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94

Percent of Commercial Natural Gas Deliveries in South Dakota Represented by  

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

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95

Percent of Industrial Natural Gas Deliveries in Arizona Represented by the  

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

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96

Percent of Industrial Natural Gas Deliveries in Colorado Represented by the  

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

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97

Percent of Industrial Natural Gas Deliveries in Colorado Represented by the  

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

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98

Percent of Industrial Natural Gas Deliveries in Delaware Represented by the  

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

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99

Percent of Industrial Natural Gas Deliveries in Delaware Represented by the  

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

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100

Percent of Industrial Natural Gas Deliveries in Iowa Represented by the  

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

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Note: This page contains sample records for the topic "factor percent type" 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

Percent of Industrial Natural Gas Deliveries in Kansas Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent) Year Jan Feb

102

Percent of Industrial Natural Gas Deliveries in Kansas Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent) Year Jan FebPrice

103

Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the  

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

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104

Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent) Year JanPrice

105

Percent of Industrial Natural Gas Deliveries in Maine Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent) YearPrice

106

Percent of Industrial Natural Gas Deliveries in Maine Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent) YearPricePrice

107

Percent of Industrial Natural Gas Deliveries in Maryland Represented by the  

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

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108

Percent of Industrial Natural Gas Deliveries in Michigan Represented by the  

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

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109

Percent of Industrial Natural Gas Deliveries in Michigan Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)Priceby thePrice

110

Percent of Industrial Natural Gas Deliveries in Missouri Represented by the  

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

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111

Percent of Industrial Natural Gas Deliveries in Missouri Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPrice (Percent)PricebythePrice

112

Percent of Industrial Natural Gas Deliveries in Montana Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent) Year Jan Feb

113

Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent) Year Jan

114

Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent) Year JanPrice

115

Percent of Industrial Natural Gas Deliveries in Nevada Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent) Year

116

Percent of Industrial Natural Gas Deliveries in Nevada Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent) YearPrice

117

Percent of Industrial Natural Gas Deliveries in New Jersey Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent)

118

Percent of Industrial Natural Gas Deliveries in New Jersey Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent)the Price

119

Percent of Industrial Natural Gas Deliveries in New Mexico Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent)the Pricethe

120

Percent of Industrial Natural Gas Deliveries in New Mexico Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent)the

Note: This page contains sample records for the topic "factor percent type" 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

Percent of Industrial Natural Gas Deliveries in New York Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent)thePrice

122

Percent of Industrial Natural Gas Deliveries in New York Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice (Percent)thePricePrice

123

Percent of Industrial Natural Gas Deliveries in Oregon Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby thePrice (Percent)

124

Percent of Industrial Natural Gas Deliveries in Utah Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPrice (Percent) Year

125

Percent of Industrial Natural Gas Deliveries in Vermont Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPrice (Percent)

126

Percent of Industrial Natural Gas Deliveries in Vermont Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPrice (Percent)Price

127

Percent of Industrial Natural Gas Deliveries in Virginia Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPricePrice (Percent)

128

Percent of Commercial Natural Gas Deliveries in Arizona Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbed Methane(Dollars perPrice (Percent)

129

Percent of Commercial Natural Gas Deliveries in Iowa Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) Year Jan Feb Mar

130

Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) Year Jan FebPrice

131

Percent of Commercial Natural Gas Deliveries in Maine Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) Year JanPrice

132

Percent of Commercial Natural Gas Deliveries in Maryland Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) Year JanPricePrice

133

Percent of Commercial Natural Gas Deliveries in Missouri Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent) YearPricethePrice

134

Percent of Commercial Natural Gas Deliveries in New York Represented by the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbedPrice (Percent)Priceby thePrice

135

NNSA hits 21 percent of CFC goal | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNational Nuclearhas 'Natitude' | National Nuclear Securityhits 21 percent of CFC goal

136

Method to produce alumina aerogels having porosities greater than 80 percent  

DOE Patents [OSTI]

A two-step method for producing monolithic alumina aerogels having porosities of greater than 80 percent. Very strong, very low density alumina aerogel monoliths are prepared using the two-step sol-gel process. The method of preparing pure alumina aerogel modifies the prior known sol method by combining the use of substoichiometric water for hydrolysis, the use of acetic acid to control hydrolysis/condensation, and high temperature supercritical drying, all of which contribute to the formation of a polycrystalline aerogel microstructure. This structure provides exceptional mechanical properties of the alumina aerogel, as well as enhanced thermal resistance and high temperature stability.

Poco, John F.; Hrubesh, Lawrence W.

2003-09-16T23:59:59.000Z

137

Influence of the host cell factors CK2, hTERT, and PML, on the antiviral response to herpes simplex virus type I infection  

E-Print Network [OSTI]

deploys a variety of defenses to limit the extent to which the virus can replicate. This thesis is the summation of projects that examined the impact of three host cell factors - those being CK2, hTERT, and PML - on HSV-1 replication. CK2 is a cellular...

Smith, Miles Christian

2013-08-31T23:59:59.000Z

138

Extraction of Plutonium into 30 Percent Tri-Butyl Phosphate from Nitric Acid Solution Containing Fluoride, Aluminum, and Boron  

SciTech Connect (OSTI)

This work consists of experimental batch extraction data for plutonium into 30 volume-percent tri-butyl phosphate at ambient temperature from such a solution matrix and a model of this data using complexation constants from the literature.

Kyser, E.A.

2000-01-06T23:59:59.000Z

139

An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has  

E-Print Network [OSTI]

Relevance An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has shown that individuals who live in poverty have dietary intakes that are not in agreement

140

Type I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions  

E-Print Network [OSTI]

and latent constructs (i.e., trait, denoted by 𝜉𝜉). In the MACS model, the observed response 𝑥𝑥𝑖𝑖 to an item i (i = 1, …, p) is represented as a linear function of an intercept 𝜏𝜏𝑖𝑖 , latent trait variables 𝜉𝜉𝑖𝑖 (j = 1, …, m), and a unique... is a p × 1 vector of observed responses (in group g), 𝜏𝜏𝑔𝑔 is a p × 1 vector of intercepts, 𝜉𝜉𝑔𝑔 is an m × 1 vector of latent trait variables, ?𝑔𝑔 is a p × m matrix of factor loadings, and 𝛿𝛿𝑔𝑔 is a p × 1 vector of unique factor...

Lee, Jaehoon

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

Selecting dry-type transformers: Getting the most energy efficiency for the dollar  

SciTech Connect (OSTI)

Dry-type transformers represent a significant and largely overlooked opportunity for energy and dollar savings. Since all electric power passes through one or more dry-type transformers on its way to lighting, motors, office equipment, or other end uses, even increasing transformer efficiency by a small margin will have a significant impact. Selection of more efficient dry-type transformers could reduce electric bills for commercial and industrial customers by 1 to 3 percent with attractive paybacks, amounting to a savings of $1 billion per year in electricity costs for US commercial and industrial power users. Unfortunately, selecting efficient dry-type transformers is not as straightforward as it first appears to be. The typical selection methods based on temperature rise or full-load efficiency are misleading in many cases. Low-temperature-rise models are not necessarily the most efficient and the average transformer in a commercial building operates at only 35 percent of rated load. A more useful approach is a multiyear cost of ownership analysis that factors in efficiency at part-load conditions. Sample calculations of the multiyear cost of ownership approach illustrate how load profiles have a profound impact on finding the most economical dry-type transformer for a given application.

Howe, B.

1995-10-01T23:59:59.000Z

142

Good news! Your plan covers the preventive services listed here 100 percent as part of  

E-Print Network [OSTI]

complies with the new federal health care reform law. Covered preventive services for adults Screenings for on risk factors) Continued on back Important Health Care Reform Notices You can get checkups, screenings get them from a doctor or other health care provider in our network n The main purpose of your visit

143

0 20 40 60 80 100 Starting percent of Be12Ti in  

E-Print Network [OSTI]

element. The low threshold (n,2n) reaction makes 9Be the preferred choice material for solid-type breeder the beryllium usage whilst maintaining a high TBR. The energy amplification of the blanket and peak nuclear and photonic energy deposited in any one region should be kept low to minimise the chance of hot spots forming

144

Analysis of farm-to-retail price spreads for whole and two percent milk in seven selected cities  

E-Print Network [OSTI]

The objectives of this study were threefold: (1) to determine a suitable model for defining the farm-retail price spread for two percent and whole milk in seven cities (Atlanta, Boston, Chicago, Dallas, Hartford, Seattle, St. Louis); (2) to discover...

Dickerson, Marla Lashea

2004-09-30T23:59:59.000Z

145

Characterization of nitrogen compound types in hydrotreated Paraho shale oil  

SciTech Connect (OSTI)

Results from the separation and characterization of nitrogen compound types in hydrotreated Paraho shale oil samples were obtained. Two samples of Paraho shale oil were hydrotreated by Chevron Research Company such that one sample contained about 0.05 wt. percent nitrogen and the other sample contained about 0.10 wt. percent nitrogen. A separation method concentrate specific nitrogen compound types was developed. Characterization of the nitrogen types was accomplished by infrared spectroscopy, mass spectrometry, potentiometric titration, and elemental analysis. The distribution of nitrogen compound types in both samples and in the Paraho crude shale oil is compared.

Holmes, S.A.; Latham, D.R.

1980-10-01T23:59:59.000Z

146

Characteristics RSE Column Factor: All Vehicle Types  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model

147

Measured and Monte Carlo calculated k{sub Q} factors: Accuracy and comparison  

SciTech Connect (OSTI)

Purpose: The journal Medical Physics recently published two papers that determine beam quality conversion factors, k{sub Q}, for large sets of ion chambers. In the first paper [McEwen Med. Phys. 37, 2179-2193 (2010)], k{sub Q} was determined experimentally, while the second paper [Muir and Rogers Med. Phys. 37, 5939-5950 (2010)] provides k{sub Q} factors calculated using Monte Carlo simulations. This work investigates a variety of additional consistency checks to verify the accuracy of the k{sub Q} factors determined in each publication and a comparison of the two data sets. Uncertainty introduced in calculated k{sub Q} factors by possible variation of W/e with beam energy is investigated further. Methods: The validity of the experimental set of k{sub Q} factors relies on the accuracy of the NE2571 reference chamber measurements to which k{sub Q} factors for all other ion chambers are correlated. The stability of NE2571 absorbed dose to water calibration coefficients is determined and comparison to other experimental k{sub Q} factors is analyzed. Reliability of Monte Carlo calculated k{sub Q} factors is assessed through comparison to other publications that provide Monte Carlo calculations of k{sub Q} as well as an analysis of the sleeve effect, the effect of cavity length and self-consistencies between graphite-walled Farmer-chambers. Comparison between the two data sets is given in terms of the percent difference between the k{sub Q} factors presented in both publications. Results: Monitoring of the absorbed dose calibration coefficients for the NE2571 chambers over a period of more than 15 yrs exhibit consistency at a level better than 0.1%. Agreement of the NE2571 k{sub Q} factors with a quadratic fit to all other experimental data from standards labs for the same chamber is observed within 0.3%. Monte Carlo calculated k{sub Q} factors are in good agreement with most other Monte Carlo calculated k{sub Q} factors. Expected results are observed for the sleeve effect and the effect of cavity length on k{sub Q}. The mean percent differences between experimental and Monte Carlo calculated k{sub Q} factors are -0.08, -0.07, and -0.23% for the Elekta 6, 10, and 25 MV nominal beam energies, respectively. An upper limit on the variation of W/e in photon beams from cobalt-60 to 25 MV is determined as 0.4% with 95% confidence. The combined uncertainty on Monte Carlo calculated k{sub Q} factors is reassessed and amounts to between 0.40 and 0.49% depending on the wall material of the chamber. Conclusions: Excellent agreement (mean percent difference of only 0.13% for the entire data set) between experimental and calculated k{sub Q} factors is observed. For some chambers, k{sub Q} is measured for only one chamber of each type--the level of agreement observed in this study would suggest that for those chambers the measured k{sub Q} values are generally representative of the chamber type.

Muir, B. R.; McEwen, M. R.; Rogers, D. W. O. [Ottawa Medical Physics Institute (OMPI), Ottawa Carleton Institute for Physics, Carleton University Campus, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada); Institute for National Measurement Standards, National Research Council of Canada, Ottawa, Ontario K1A 0R6 (Canada); Ottawa Medical Physics Institute (OMPI), Ottawa Carleton Institute for Physics, Carleton University Campus, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada)

2011-08-15T23:59:59.000Z

148

Rock types, pore types, and hydrocarbon exploration  

SciTech Connect (OSTI)

A proposed exploration-oriented method of classifying porosity in sedimentary rocks is based on microscopic examination cores or cuttings. Factors include geometry, size, abundance, and connectivity of the pores. The porosity classification is predictive of key petrophysical characteristics: porosity-permeability relationships, capillary pressures, and (less certainly) relative permeabilities. For instance, intercrystalline macroporosity typically is associated with high permeability for a given porosity, low capillarity, and favorable relative permeabilities. This is found to be true whether this porosity type occurs in a sucrosic dolomite or in a sandstone with pervasive quartz overgrowths. This predictive method was applied in three Rocky Mountain oil plays. Subtle pore throat traps could be recognized in the J sandstone (Cretaceous) in the Denver basin of Colorado by means of porosity permeability plotting. Variations in hydrocarbon productivity from a Teapot Formation (Cretaceous) field in the Powder River basin of Wyoming were related to porosity types and microfacies; the relationships were applied to exploration. Rock and porosity typing in the Red River Formation (Ordovician) reconciled apparent inconsistencies between drill-stem test, log, and mud-log data from a Williston basin wildcat. The well was reevaluated and completed successfully, resulting in a new field discovery. In each of these three examples, petrophysics was fundamental for proper evaluation of wildcat wells and exploration plays.

Coalson, E.B.; Hartmann, D.J.; Thomas, J.B.

1985-05-01T23:59:59.000Z

149

We report measurement of the equilibrium plasma current profiles in the Levitated Dipole Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta  

E-Print Network [OSTI]

Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta of an LDX plasma is calculated will be discussed along with the conditions that lead to the creation of high beta plasmas. #12;Outline · Magnetic · Average and peak beta Substantial analyses must be performed on the magnetic data to actually obtain

150

www.global.unam.mx www.unam.mx UNAM is home to more than 45 research institutes, centers and university programs; 50 percent of the  

E-Print Network [OSTI]

and university programs; 50 percent of the research carried out in Mexico is generated by our institution. Our researchers cover the spectrum of disciplines, including energy, engineering, environmental sciences, genomic sciences, medicine, nanotechnologies, sustainable development, and water. Nationwide, one out of every 3

Petriu, Emil M.

151

Bi-Se doped with Cu, p-type semiconductor  

DOE Patents [OSTI]

A Bi--Se doped with Cu, p-type semiconductor, preferably used as an absorber material in a photovoltaic device. Preferably the semiconductor has at least 20 molar percent Cu. In a preferred embodiment, the semiconductor comprises at least 28 molar percent of Cu. In one embodiment, the semiconductor comprises a molar percentage of Cu and Bi whereby the molar percentage of Cu divided by the molar percentage of Bi is greater than 1.2. In a preferred embodiment, the semiconductor is manufactured as a thin film having a thickness less than 600 nm.

Bhattacharya, Raghu Nath; Phok, Sovannary; Parilla, Philip Anthony

2013-08-20T23:59:59.000Z

152

Beam quality conversion factors for parallel-plate ionization chambers in MV photon beams  

SciTech Connect (OSTI)

Purpose: To investigate the behavior of plane-parallel ion chambers in high-energy photon beams through measurements and Monte Carlo simulations. Methods: Ten plane-parallel ion chamber types were obtained from the major ion chamber manufacturers. Absorbed dose-to-water calibration coefficients are measured for these chambers and k{sub Q} factors are determined. In the process, the behaviors of the chambers are characterized through measurements of leakage currents, chamber settling in cobalt-60, polarity and ion recombination behavior, and long-term stability. Monte Carlo calculations of the absorbed dose to the air in the ion chamber and absorbed dose to water are obtained to calculate k{sub Q} factors. Systematic uncertainties in Monte Carlo calculated k{sub Q} factors are investigated by varying material properties and chamber dimensions. Results: Chamber behavior was variable in MV photon beams, especially with regard to chamber leakage and ion recombination. The plane-parallel chambers did not perform as well as cylindrical chambers. Significant differences up to 1.5% were observed in calibration coefficients after a period of eight months although k{sub Q} factors were consistent on average within 0.17%. Chamber-to-chamber variations in k{sub Q} factors for chambers of the same type were at the 0.2% level. Systematic uncertainties in Monte Carlo calculated k{sub Q} factors ranged between 0.34% and 0.50% depending on the chamber type. Average percent differences between measured and calculated k{sub Q} factors were - 0.02%, 0.18%, and - 0.16% for 6, 10, and 25 MV beams, respectively. Conclusions: Excellent agreement is observed on average at the 0.2% level between measured and Monte Carlo calculated k{sub Q} factors. Measurements indicate that the behavior of these chambers is not adequate for their use for reference dosimetry of high-energy photon beams without a more extensive QA program than currently used for cylindrical reference-class ion chambers.

Muir, B. R.; McEwen, M. R.; Rogers, D. W. O. [Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada); Institute for National Measurement Standards, National Research Council of Canada, Ottawa, Ontario K1A 0R6 (Canada); Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada)

2012-03-15T23:59:59.000Z

153

Temperature-dependent structural property and power factor of n type thermoelectric Bi{sub 0.90}Sb{sub 0.10} and Bi{sub 0.86}Sb{sub 0.14} alloys  

SciTech Connect (OSTI)

Thermal variation of structural property, linear thermal expansion coefficient (?), resistivity (?), thermopower (S), and power factor (PF) of polycrystalline Bi{sub 1-x}Sb{sub x} (x?=?0.10 and 0.14) samples are reported. Temperature-dependent powder diffraction experiments indicate that samples do not undergo any structural phase transition. Rietveld refinement technique has been used to perform detailed structural analysis. Temperature dependence of ? is found to be stronger for Bi{sub 0.90}Sb{sub 0.10}. Also, PF for direct band gap Bi{sub 0.90}Sb{sub 0.10} is higher as compared to that for indirect band gap Bi{sub 0.86}Sb{sub 0.14}. Role of electron-electron and electron-phonon scattering on ?, S, and PF has been discussed.

Malik, K.; Das, Diptasikha [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India)] [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India); Bandyopadhyay, S.; Banerjee, Aritra, E-mail: arbphy@caluniv.ac.in [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India) [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India); Center for Research in Nanoscience and Nanotechnology, University of Calcutta, JD-2, Sector-III, Saltlake City, Kolkata 700 098 (India); Mandal, P.; Srihari, Velaga [Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700 064 (India)] [Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700 064 (India); Deb, A. K. [Department of Physics, Raiganj College (University College), Uttar Dinajpur 733 134 (India)] [Department of Physics, Raiganj College (University College), Uttar Dinajpur 733 134 (India)

2013-12-09T23:59:59.000Z

154

Electrical and Production Load Factors  

E-Print Network [OSTI]

, Texas Abstract Load factors and operating hours of small and medium-sized industrial plants are analyzed to classify shift-work patterns and develop energy conservation diagnostic tools. This paper discusses two types of electric load factors... for each shift classification within major industry groups. The load factor based on billing hours (ELF) increases with operating hours from about 0.4 for a nominal one shift operation, to about 0.7 for around-the-clock operation. On the other hand...

Sen, T.; Heffington, W. M.

155

Route Type Determination Analysis  

SciTech Connect (OSTI)

According to the 2009 National Household Travel Survey 44.4 percent of all miles travelled by Americans in 2009 (including airplanes, trains, boats, golf carts, subways, bikes, etc.) were travelled in cars. If vans, SUV's and pickup trucks are included, that level increases to 86 percent. We do a lot of travelling on the road in personal vehicles - it's important to be able to understand how we get there and how to rate the fuel economy of our trips. An essential part of this is knowing how to decide if a trip is a city or highway trip.

Brett Stone

2011-09-01T23:59:59.000Z

156

The effects of storage time, storage temperature, and concentration on percent recoveries of thermally desorbed diffusive dosimeter samples contaminated with chloroform  

E-Print Network [OSTI]

, the Analabs Thermal Desorber. 4. The Programmed Thermal Desorber on the left and linear chart recorder on the far right. 5. Gas Chromatograph Peak, Integrator Counting, and GC Conditions for Chloroform. 10 17 19 21 24 6. Photograph Illustrating.... A 2 x 3 x 3 Factorial Treatment Design . 13. Analysis of Variance Table for the Experimental Data 14. Mean Percent Recovery vs. Storage Temperature for 7 Days and 14 Days Storage Time At Concentration I (5 ppm - 8 hours). 26 27 28 29 30 31...

Gallucci, Joseph Matthew

2012-06-07T23:59:59.000Z

157

Variable Average Absolute Percent Differences  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II FieldVacancy-InducedCloudPoissonVampire Power1 -Variable

158

spaceheat_percent2001.pdf  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquids Reserve Class3a.86, 19988,5a. Space8a.Space

159

New N-Type Polymers for Organic Photovoltaics: Cooperative Research and Development Final Report, CRADA Number CRD-06-177  

SciTech Connect (OSTI)

This CRADA will develop improved thin film organic solar cells using a new n-type semiconducting polymer. High efficiency photovoltaics (PVs) based on inorganic semiconductors have good efficiencies (up to 30%) but are extremely expensive to manufacture. Organic PV technology has the potential to overcome this problem through the use of high-throughput production methods like reel-to-reel printing on flexible substrates. Unfortunately, today's best organic PVs have only a few percent efficiency, a number that is insufficient for virtually all commercial applications. The limited choice of stable n-type (acceptor) organic semiconductor materials is one of the key factors that prevent the further improvement of organic PVs. TDA Research, Inc. (TDA) previously developed a new class of electron-deficient (n-type) conjugated polymers for use in organic light emitting diodes (OLEDs). During this project TDA in collaboration with the National Renewable Energy Laboratory (NREL) will incorporate these electron-deficient polymers into organic photovoltaics and investigate their performance. TDA Research, Inc. (TDA) is developing new materials and polymers to improve the performance of organic solar cells. Materials being developed at TDA include spin coated transparent conductors, charge injection layers, fullerene derivatives, electron-deficient polymers, and three-phase (fullerene/polythiophene/dye) active layer inks.

Olson, D.

2014-08-01T23:59:59.000Z

160

Risk factors of recurrent furunculosis  

E-Print Network [OSTI]

Staphylococcus aureus (MRSA). Between 10-35 percent and 20-resistant S. aureus (MRSA) [ 35 , 36 ]. However, Hedstrom [study reported that MRSA infection was significantly

El-Gilany, Abdel-Hady; Fathy, Hanan

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining% accuracy. ­ 2-5% of pre-production capital Types of Cost Estimates #12;3. Definitive ­ Based on definitive-even $ Production Level Fixed Cost Break-even $ Production Level Cost-Revenue Relationships · Capital Costs (or

Boisvert, Jeff

162

Comparison of analytical methods for percent phosphorous determination in electroless nickel plate. [UCC-ND alkalimetric method; UCC-ND Inductively Coupled Plasma (ICP) method; ASTM-E39 gravimetric method; development colorimetric method; independent colorimetric method  

SciTech Connect (OSTI)

Electroless nicke-plate characteristics are substantially influenced by percent phosphorous concentrations. Available ASTM analytical methods are designed for phosphorous concentrations of less than one percent compared to the 4.0 to 20.0% concentrations common in electroless nickel plate. A variety of analytical adaptations are applied through the industry resulting in poor data continuity. This paper presents a statistical comparison of five analytical methods and recommends accurate and precise procedures for use in percent phosphorous determinations in electroless nickel plate. 2 figures, 1 table.

Owens, W.W.; Sullivan, H.H.

1982-01-01T23:59:59.000Z

163

Power Factor Compensation (PFC) Power Factor Compensation  

E-Print Network [OSTI]

Power Factor Compensation (PFC) Power Factor Compensation The power factor (PF) is defined as the ratio between the active power and the apparent power of a system. If the current and voltage are periodic with period , and [ ), then the active power is defined by ( ) ( ) (their inner product

Knobloch,JĂĽrgen

164

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main classes of capital costs: 1. Depreciable Investment: · Investment allocated

Boisvert, Jeff

165

Types of Reuse  

Broader source: Energy.gov [DOE]

The following provides greater detail regarding the types of reuse pursued for LM sites. It should be noted that many actual reuses combine several types of the uses listed below.

166

Determination of zero-field size percent depth doses and tissue maximum ratios for stereotactic radiosurgery and IMRT dosimetry: Comparison between experimental measurements and Monte Carlo simulation  

SciTech Connect (OSTI)

In this study, zero-field percent depth dose (PDD) and tissue maximum ratio (TMR) for 6 MV x rays have been determined by extrapolation from dosimetric measurements over the field size range 1x1-10x10 cm{sup 2}. The key to small field dosimetry is the selection of a proper dosimeter for the measurements, as well as the alignment of the detector with the central axis (CAX) of beam. The measured PDD results are compared with those obtained from Monte Carlo (MC) simulation to examine the consistency and integrity of the measured data from which the zero-field PDD is extrapolated. Of the six most commonly used dosimeters in the clinic, the stereotactic diode field detector (SFD), the PTW Pinpoint, and the Exradin A14 are the most consistent and produce results within 2% of each other over the entire field size range 1x1-40x40 cm{sup 2}. Although the diamond detector has the smallest sensitive volume, it is the least stable and tends to disagree with all other dosimeters by more than 10%. The zero-field PDD data extrapolated from larger field measurements obtained with the SFD are in good agreement with the MC results. The extrapolated and MC data agree within 2.5% over the clinical depth range (d{sub max}-30 cm), when the MC data for the zero field are derived from a 1x1 cm{sup 2} field simulation using a miniphantom (1x1x48 cm{sup 3}). The agreement between the measured PDD and the MC data based on a full phantom (48x48x48 cm{sup 3}) simulation is fairly good within 1% at shallow depths to approximately 5% at 30 cm. Our results seem to indicate that zero-field TMR can be accurately calculated from PDD measurements with a proper choice of detector and a careful alignment of detector axis with the CAX.

Cheng, C.-W.; Sang, Hyun Cho; Taylor, Michael; Das, Indra J. [Department of Radiation Oncology, Morristown Memorial Hospital, Morristown, New Jersey 07962 (United States); Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030 (United States); Department of Radiation Oncology, Portland Kaiser Permanente, Portland, Oregon 97227 (United States); Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 (United States)

2007-08-15T23:59:59.000Z

167

Power Factor Improvement  

E-Print Network [OSTI]

Power factor control is a necessary ingredient in any successful Energy Management Program. Many companies are operating with power factors of 70% or less and are being penalized through the electrical utility bill. This paper starts by describing...

Viljoen, T. A.

1979-01-01T23:59:59.000Z

168

Report Title: Oil and Gas Production and Economic Growth In New Mexico Type of Report: Technical Report  

E-Print Network [OSTI]

Report Title: Oil and Gas Production and Economic Growth In New Mexico Type of Report: Technical agency thereof. #12;Page | ii Oil and Gas Production and Economic Growth in New Mexico James Peach and C Mexico's marketed value of oil and gas was $19.2 billion (24.0 percent of state GDP). This paper

Johnson, Eric E.

169

Typed Self-Optimization  

E-Print Network [OSTI]

type T y[O]. The operator IsIs is self-applicative, in thatargument t is any of Is[O] or IsIs, and otherwise behavesproof constant introduced by IsIs proves that the type of t

Brown, Matt

2013-01-01T23:59:59.000Z

170

An evaluation of sesame oil meal and Peruvian fish for egg-strain and broiler-type breeder hens  

E-Print Network [OSTI]

meal as protein sources for egg-strain hens . . . . . . . . ~ ~ . ~ 16 Composition of. laying hen diets . . . . . . ~ . 17, 18 Calculated percent protein and certain amino acid content in laying hen diets from analyses of ingredients... . . . , . . . . . . . . . ~ ~ , 19 Experimental design . . . . . . . . . . . ~ . . 20 Composition of broiler-type breeder diets ~ . . 21 Calculated protein and certain amino acid con- tent in broiler-type breeder hen diets from analy- ses of ingredients...

Smith, Edwin B

1964-01-01T23:59:59.000Z

171

Meson electromagnetic form factors  

E-Print Network [OSTI]

The electromagnetic structure of the pseudoscalar meson nonet is completely described by the sophisticated Unitary&Analytic model, respecting all known theoretical properties of the corresponding form factors.

Stanislav Dubnicka; Anna Z. Dubnickova

2012-10-23T23:59:59.000Z

172

Document Type: Subject Terms  

E-Print Network [OSTI]

Title: Authors: Source: Document Type: Subject Terms: Abstract: Full Text Word Count: ISSN at creating team results. In fact, it's priceless. Managers in Western corporations have received a lifetime

Major, Arkady

173

On Teletrofono and Inkblots ? SCIImpact FactorH-Index  

E-Print Network [OSTI]

-nine percent perspiration) #12; (Nikola Tesla ): ... 90% [] (Ambiguity) (Charles Robert Darwin; 1809

Hung, Shih-Hao

174

Factors driving wind power development in the United States  

SciTech Connect (OSTI)

In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

2003-05-15T23:59:59.000Z

175

Hypergeometric type operators and their supersymmetric partners  

SciTech Connect (OSTI)

The generalization of the factorization method performed by Mielnik [J. Math. Phys. 25, 3387 (1984)] opened new ways to generate exactly solvable potentials in quantum mechanics. We present an application of Mielnik's method to hypergeometric type operators. It is based on some solvable Riccati equations and leads to a unitary description of the quantum systems exactly solvable in terms of orthogonal polynomials or associated special functions.

Cotfas, Nicolae [Faculty of Physics, University of Bucharest, PO Box 76 - 54, Post Office 76, 062590 Bucharest (Romania); Cotfas, Liviu Adrian [Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies, 6 Piata Romana, 010374 Bucharest (Romania)

2011-05-15T23:59:59.000Z

176

E-Print Network 3.0 - analyzing sociodemographic factors Sample...  

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

interventions due to small differences in population, socio-demographic traits, intervention media... type, and a variety of other factors. The social simulation tool...

177

The Examination of Factors Associated in Motorcycle Crashes in Work Zones.  

E-Print Network [OSTI]

??This paper analyzes the factors associated in motorcycle crashes in work zones. This analysis was completed through the collection and inspection of three types of… (more)

Stakleff, Brandon Alexander

2013-01-01T23:59:59.000Z

178

FGF growth factor analogs  

DOE Patents [OSTI]

The present invention provides a fibroblast growth factor heparin-binding analog of the formula: ##STR00001## where R.sub.1, R.sub.2, R.sub.3, R.sub.4, R.sub.5, X, Y and Z are as defined, pharmaceutical compositions, coating compositions and medical devices including the fibroblast growth factor heparin-binding analog of the foregoing formula, and methods and uses thereof.

Zamora, Paul O. (Gaithersburg, MD); Pena, Louis A. (Poquott, NY); Lin, Xinhua (Plainview, NY); Takahashi, Kazuyuki (Germantown, MD)

2012-07-24T23:59:59.000Z

179

Dust around Type Ia supernovae  

E-Print Network [OSTI]

Dust around Type Ia supernovae Lifan Wang 1,2 LawrenceIa. Subject headings: Supernovae: General, Dust, Extinctionline) bands for Type Ia supernovae. (a), upper panel, shows

Wang, Lifan

2005-01-01T23:59:59.000Z

180

Wolter type i LAMAR  

SciTech Connect (OSTI)

Observational objectives for the LAMAR and their influence on the instrument design are discussed. It is concluded that the most important design parameter is the angular resolution of the LAMAR modules since it so strongly influences sensitivity, optical identifications, source confusion, spectral resolution for objective gratings and the ability to resolve small extended sources. A high resolution Wolter Type I LAMAR module is described, its hardware status discussed, and the performance of a LAMAR observatory presented. A promising technique for enhancing the reflectivity of Wolter Type I X-ray optics in a selected bandpass at high energy has been investigated and the performance of the LAMAR module, utilizing this method, has been calculated.

Catura, R.C.; Joki, E.G.

1981-11-01T23:59:59.000Z

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


181

Definitions: Types of Commissioning  

E-Print Network [OSTI]

Workshop on the Continuous Commissioning® Process Joseph T. Martinez, PCC Carlos Yagua, PE Hiroko Masuda, Juan-Carlos Baltazar, PhD, PE Ahmet Ugursal, PhD Clean Air Through Energy Efficiency (CATEE) Conference, Dallas, Texas. November 18, 2014... 5. Continuous Commissioning Measures 6. Measurement and Verification ESL-KT-14-11-41 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Definitions: Types of Commissioning Joseph T. Martinez, PCC Carlos Yagua, PE Hiroko...

Martinez, J. T.

2014-01-01T23:59:59.000Z

182

Multi-factor authentication  

DOE Patents [OSTI]

Detection and deterrence of spoofing of user authentication may be achieved by including a cryptographic fingerprint unit within a hardware device for authenticating a user of the hardware device. The cryptographic fingerprint unit includes an internal physically unclonable function ("PUF") circuit disposed in or on the hardware device, which generates a PUF value. Combining logic is coupled to receive the PUF value, combines the PUF value with one or more other authentication factors to generate a multi-factor authentication value. A key generator is coupled to generate a private key and a public key based on the multi-factor authentication value while a decryptor is coupled to receive an authentication challenge posed to the hardware device and encrypted with the public key and coupled to output a response to the authentication challenge decrypted with the private key.

Hamlet, Jason R; Pierson, Lyndon G

2014-10-21T23:59:59.000Z

183

New Precision Limit on the Strange Vector Form Factors of the Proton  

DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

The parity-violating cross-section asymmetry in the elastic scattering of polarized electrons from unpolarized protons has been measured at a four-momentum transfer squared Q2 = 0.624 GeV2 and beam energy Eb = 3.48 GeV to be APV = -23.80 ± 0.78 (stat) ± 0.36 (syst) parts per million. This result is consistent with zero contribution of strange quarks to the combination of electric and magnetic form factors GEs + 0.517 GMs = 0.003 ± 0.010 (stat) ± 0.004 (syst) ± 0.009 (ff), where the third error is due to the limits of precision on the electromagnetic form factors and radiative corrections. With this measurement, the world data on strange contributions to nucleon form factors are seen to be consistent with zero and not more than a few percent of the proton form factors.

Ahmed, Z; Allada, K; Armstrong, D S; Arrington, J; Baturin, P; Bellini, V; Benesch, J; Beminiwattha, R; Benmokhtar, F; Canan, M; Camsonne, A; Cates, G D; Chen, J -P; Chudakov, E; Cisbani, E; Dalton, M M; de Jager, C W; De Leo, R; Deconinck, W; Decowski, P; Deng, X; Deur, A; Dutta, C; Franklin, G B; Friend, M; Frullani, S; Garibaldi, F; Giusa, A; Glamazdin, A; Golge, S; Grimm, K; Hansen, O; Higinbotham, D W; Holmes, R; Holmstrom, T; Huang, J; Huang, M; Hyde, C E; Jen, C M; Jin, G; Jones, D; Kang, H; King, P; Kowalski, S; Kumar, K S; Lee, J H; LeRose, J J; Liyanage, N; Long, E; McNulty, D; Margaziotis, D; Meddi, F; Meekins, D G; Mercado, L; Meziani, Z -E; Michaels, R; Munoz-Camacho, C; Mihovilovic, M; Muangma, N; Myers, K E; Nanda, S

2012-03-05T23:59:59.000Z

184

New Precision Limit on the Strange Vector Form Factors of the Proton  

E-Print Network [OSTI]

The parity-violating cross-section asymmetry in the elastic scattering of polarized electrons from unpolarized protons has been measured at a four-momentum transfer squared Q2 = 0.624 GeV and beam energy E =3.48 GeV to be A_PV = -23.80 +/- 0.78 (stat) +/- 0.36 (syst) parts per million. This result is consistent with zero contribution of strange quarks to the combination of electric and magnetic form factors G_E^s + 0.517 G_M^s = 0.003 +/- 0.010 (stat) +/- 0.004 (syst) +/- 0.009 (ff), where the third error is due to the limits of precision on the electromagnetic form factors and radiative corrections. With this measurement, the world data on strange contributions to nucleon form factors are seen to be consistent with zero and not more than a few percent of the proton form factors.

HAPPEX collaboration; Z. Ahmed; K. Allada; K. A. Aniol; D. S. Armstrong; J. Arrington; P. Baturin; V. Bellini; J. Benesch; R. Beminiwattha; F. Benmokhtar; M. Canan; A. Camsonne; G. D. Cates; J. -P. Chen; E. Chudakov; E. Cisbani; M. M. Dalton; C. W. de Jager; R. De Leo; W. Deconinck; P. Decowski; X. Deng; A. Deur; C. Dutta; G. B. Franklin; M. Friend; S. Frullani; F. Garibaldi; A. Giusa; A. Glamazdin; S. Golge; K. Grimm; O. Hansen; D. W. Higinbotham; R. Holmes; T. Holmstrom; J. Huang; M. Huang; C. E. Hyde; C. M. Jen; G. Jin; D. Jones; H. Kang; P. King; S. Kowalski; K. S. Kumar; J. H. Lee; J. J. LeRose; N. Liyanage; E. Long; D. McNulty; D. Margaziotis; F. Meddi; D. G. Meekins; L. Mercado; Z. -E. Meziani; R. Michaels; C. Munoz-Camacho; M. Mihovilovic; N. Muangma; K. E. Myers; S. Nanda; A. Narayan; V. Nelyubin; Nuruzzaman; Y. Oh; K. Pan; D. Parno; K. D. Paschke; S. K. Phillips; X. Qian; Y. Qiang; B. Quinn; A. Rakhman; P. E. Reimer; K. Rider; S. Riordan; J. Roche; J. Rubin; G. Russo; K. Saenboonruang; A. Saha; B. Sawatzky; R. Silwal; S. Sirca; P. A. Souder; M. Sperduto; R. Subedi; R. Suleiman; V. Sulkosky; C. M. Sutera; W. A. Tobias; G. M. Urciuoli; B. Waidyawansa; D. Wang; J. Wexler; R. Wilson; B. Wojtsekhowski; X. Zhan; X. Yan; H. Yao; L. Ye; B. Zhao; X. Zheng

2011-07-05T23:59:59.000Z

185

Forecast Technical Document Forecast Types  

E-Print Network [OSTI]

Forecast Technical Document Forecast Types A document describing how different forecast types are implemented in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Forecast Types Background Different `types' of forecast are possible for a specified area

186

Factors Affecting Photosynthesis!  

E-Print Network [OSTI]

Factors Affecting Photosynthesis! Temperature Eppley (1972) Light Sverdrup's Critical Depth-493, but the general concept is still valid! ! #12;PB opt & Temperature! #12;Photosynthesis & Temperature! Remember: in the laboratory, we can measure photosynthesis versus irradiance (PvsE) and calculate Ek, Pmax, and alpha

Kudela, Raphael M.

187

ACHIEVING CALIFORNIA'S 33 PERCENT RENEWABLE PORTFOLIO  

E-Print Network [OSTI]

affect estimated overall costs and risks associated with alternate portfolios of generating resources........................................................................................................ 1 Chapter 2: Using the Capital asset pricing model approach to estimate the market price referent ...... system costs and, importantly, examine cost/risk interrelationships associated with this mandate

188

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.0

189

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.02

190

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.026

191

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.0268

192

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.02680

193

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.026802

194

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.0268024

195

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 U.S.02680246

196

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3

197

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia -

198

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia -4

199

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia -46

200

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia

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


201

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia0

202

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia02

203

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia024

204

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30 Georgia0246

205

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30

206

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine -

207

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine -2

208

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine -24

209

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine -246

210

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine

211

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine0

212

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine02

213

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine024

214

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine0246

215

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300 Maine02468

216

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300

217

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New

218

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New4 New

219

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New4 New6

220

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New4

Note: This page contains sample records for the topic "factor percent type" 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

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New450

222

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New4502

223

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New45024

224

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002 New450246

225

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3002

226

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30020 Rhode

227

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30020 Rhode2

228

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30020 Rhode24

229

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30020 Rhode246

230

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December30020

231

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300200 Utah -

232

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300200 Utah -2

233

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300200 Utah

234

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300200 Utah6

235

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300200 Utah68

236

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300200 Utah680

237

Million Cu. Feet Percent of National Total  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December300200

238

Nearby Supernova Factory Observations of SN 2006D: On Sporadic Carbon Signatures in Early Type Ia Supernova Spectra  

E-Print Network [OSTI]

with low volume-?lling factor. Subject headings: supernovae:general — supernovae: individual (SN 2006D)Introduction Type Ia supernovae (SNe Ia) make valuable

2006-01-01T23:59:59.000Z

239

Proactive Design of n-Type (In, Ce) Filled Skutterudites Enabling High-Temperature Waste Heat Recovery  

Broader source: Energy.gov [DOE]

Thermoelectric and structural properties of n-type (In, Ce) filled skutterudites including power factors and ZT as a function of temperature are presented

240

Nebraska Nuclear Profile - Cooper  

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

Cooper" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

Note: This page contains sample records for the topic "factor percent type" 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

Missouri Nuclear Profile - Callaway  

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

Callaway" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

242

Louisiana Nuclear Profile - Waterford 3  

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

Waterford 3" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

243

New Jersey Nuclear Profile - PSEG Salem Generating Station  

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

PSEG Salem Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

244

Michigan Nuclear Profile - Fermi  

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

Fermi" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

245

Florida Nuclear Profile - Turkey Point  

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

Turkey Point" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

246

Pennsylvania Nuclear Profile - Beaver Valley  

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

Beaver Valley" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

247

New Hampshire Nuclear Profile - Seabrook  

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

Seabrook" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

248

Michigan Nuclear Profile - Donald C Cook  

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

Donald C Cook" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

249

Alabama Nuclear Profile - Joseph M Farley  

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

Joseph M Farley" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

250

Virginia Nuclear Profile - North Anna  

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

North Anna" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

251

California Nuclear Profile - San Onofre Nuclear Generating Station  

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

San Onofre Nuclear Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

252

Washington Nuclear Profile - Columbia Generating Station  

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

Columbia Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

253

Wisconsin Nuclear Profile - Point Beach Nuclear Plant  

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

Point Beach Nuclear Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

254

Louisiana Nuclear Profile - River Bend  

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

River Bend" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

255

California Nuclear Profile - Diablo Canyon  

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

Diablo Canyon" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

256

Texas Nuclear Profile - South Texas Project  

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

South Texas Project" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

257

Tennessee Nuclear Profile - Sequoyah  

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

Sequoyah" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

258

Pennsylvania Nuclear Profile - PPL Susquehanna  

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

PPL Susquehanna" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

259

New Jersey Nuclear Profile - PSEG Hope Creek Generating Station  

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

PSEG Hope Creek Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

260

Florida Nuclear Profile - St Lucie  

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

St Lucie" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

Note: This page contains sample records for the topic "factor percent type" 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

Pennsylvania Nuclear Profile - Limerick  

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

Limerick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

262

Illinois Nuclear Profile - Dresden Generating Station  

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

Dresden Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

263

South Carolina Nuclear Profile - Catawba  

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

Catawba" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

264

Virginia Nuclear Profile - Surry  

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

Surry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

265

Iowa Nuclear Profile - Duane Arnold Energy Center  

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

Duane Arnold Energy Center" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

266

Illinois Nuclear Profile - LaSalle Generating Station  

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

LaSalle Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

267

Illinois Nuclear Profile - Clinton Power Station  

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

Clinton Power Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

268

Vermont Nuclear Profile - Vermont Yankee  

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

Vermont Yankee" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

269

New York Nuclear Profile - Nine Mile Point Nuclear Station  

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

Nine Mile Point Nuclear Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

270

Arizona Nuclear Profile - Palo Verde  

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

Palo Verde" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

271

South Carolina Nuclear Profile - H B Robinson  

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

H B Robinson" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

272

Texas Nuclear Profile - Comanche Peak  

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

Comanche Peak" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

273

Florida Nuclear Profile - Crystal River  

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

Crystal River1" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

274

Illinois Nuclear Profile - Byron Generating Station  

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

Byron Generating Station" ,"Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

275

Ohio Nuclear Profile - Davis Besse  

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

Davis Besse" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

276

Tennessee Nuclear Profile - Watts Bar Nuclear Plant  

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

Watts Bar Nuclear Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

277

Minnesota Nuclear Profile - Prairie Island  

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

Prairie Island" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

278

North Carolina Nuclear Profile - Brunswick  

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

Brunswick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

279

New Jersey Nuclear Profile - Oyster Creek  

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

Oyster Creek" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

280

Maryland Nuclear Profile - Calvert Cliffs Nuclear Power Plant  

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

Calvert Cliffs Nuclear Power Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

Note: This page contains sample records for the topic "factor percent type" 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

New York Nuclear Profile - R E Ginna Nuclear Power Plant  

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

R E Ginna Nuclear Power Plant" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License...

282

Massachusetts Nuclear Profile - Pilgrim Nuclear Power Station  

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

Pilgrim Nuclear Power Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer cpacity factor (percent)","Type","Commercial operation date","License...

283

Alabama Nuclear Profile - Browns Ferry  

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

Browns Ferry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

284

North Carolina Nuclear Profile - Harris  

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

Harris" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

285

Pennsylvania Nuclear Profile - Three Mile Island  

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

Three Mile Island" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

286

North Carolina Nuclear Profile - McGuire  

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

McGuire" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

287

Illinois Nuclear Profile - Braidwood Generation Station  

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

Braidwood Generation Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

288

New York Nuclear Profile - James A Fitzpatrick  

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

James A Fitzpatrick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

289

Arkansas Nuclear Profile - Arkansas Nuclear One  

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

Nuclear One" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

290

Wisconsin Nuclear Profile - Kewaunee  

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

Kewaunee" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer cpacity factor (percent)","Type","Commercial operation date","License expiration date"...

291

South Carolina Nuclear Profile - V C Summer  

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

V C Summer" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

292

Nebraska Nuclear Profile - Fort Calhoun  

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

Fort Calhoun" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

293

Ohio Nuclear Profile - Perry  

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

Perry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

294

Georgia Nuclear Profile - Edwin I Hatch  

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

Edwin I Hatch" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

295

Pennsylvania Nuclear Profile - Peach Bottom  

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

Peach Bottom" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

296

Michigan Nuclear Profile - Palisades  

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

Palisades" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

297

Mechanism design with approximate types  

E-Print Network [OSTI]

In mechanism design, we replace the strong assumption that each player knows his own payoff type exactly with the more realistic assumption that he knows it only approximately: each player i only knows that his true type ...

Zhu, Zeyuan Allen

2012-01-01T23:59:59.000Z

298

Types of Farming in Texas.  

E-Print Network [OSTI]

.......... .......-.----------------------. 8 Labor -..-.....-----...------------------------------------------------. 9 Land Tenure .--.----....---....--------------------------------- 9 Number and Size of Farms ....----...----.-._--------- 10 Capital... -------------...-------.---------------------------- 21 Hogs -......-....--------------------------------------------------- 22 Poultry .-.---.-.....--.-..------.---------------------------------- 22 Horses and Mules ---..-....---..--..------------------------ 23 Types of Farming and Type-of-farming...

Bonnen, C. A.

1960-01-01T23:59:59.000Z

299

Tornado type wind turbines  

DOE Patents [OSTI]

A tornado type wind turbine has a vertically disposed wind collecting tower with spaced apart inner and outer walls and a central bore. The upper end of the tower is open while the lower end of the structure is in communication with a wind intake chamber. An opening in the wind chamber is positioned over a turbine which is in driving communication with an electrical generator. An opening between the inner and outer walls at the lower end of the tower permits radially flowing air to enter the space between the inner and outer walls while a vertically disposed opening in the wind collecting tower permits tangentially flowing air to enter the central bore. A porous portion of the inner wall permits the radially flowing air to interact with the tangentially flowing air so as to create an intensified vortex flow which exits out of the top opening of the tower so as to create a low pressure core and thus draw air through the opening of the wind intake chamber so as to drive the turbine.

Hsu, Cheng-Ting (Ames, IA)

1984-01-01T23:59:59.000Z

300

Geology and recognition criteria for uranium deposits of the quartz-pebble conglomerate type. Final report  

SciTech Connect (OSTI)

This report is concerned with Precambrian uraniferous conglomerates. This class of deposit has been estimated to contain between approximately 16 and 35 percent of the global uranium reserve in two rather small areas, one in Canada, the other in South Africa. Similar conglomerates, which are often gold-bearing, are, however, rather widespread, being found in parts of most Precambrian shield areas. Data have been synthesized on the geologic habitat and character of this deposit type. The primary objective has been to provide the most relevant geologic observations in a structural fashion to allow resource studies and exploration to focus on the most prospective targets in the shortest possible time.

Button, A.; Adams, S.S.

1981-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

Table A23. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61 "Total

302

Table A27. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61Quantity of Purchased

303

Nucleon Electromagnetic Form Factors  

SciTech Connect (OSTI)

There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has greatly improved by performing double polarization experiments, in comparison with previous unpolarized data. Here we review the experimental data base in view of the new results for the proton, and neutron, obtained at JLab, MAMI, and MIT-Bates. The rapid evolution of phenomenological models triggered by these high-precision experiments will be discussed, including the recent progress in the determination of the valence quark generalized parton distributions of the nucleon, as well as the steady rate of improvements made in the lattice QCD calculations.

Marc Vanderhaeghen; Charles Perdrisat; Vina Punjabi

2007-10-01T23:59:59.000Z

304

On the asymptotic homotopy type of inductive limit Type ...  

E-Print Network [OSTI]

In this note we exhibit large classes of (projeetionless) stable, nuclear C*- algebras whose asymptotic homotopy type is determined by K-theoretical data.

305

Source Apportionment of Stack Emissions from Research and Development Facilities Using Positive Matrix Factorization  

SciTech Connect (OSTI)

Emissions from research and development (R&D) facilities are difficult to characterize due to the wide variety of processes used, changing nature of research, and large number of chemicals. Positive matrix factorization (PMF) was applied to volatile organic compounds (VOCs) concentrations measured in the main exhaust stacks of four different R&D buildings to identify the number and composition of major contributing sources. PMF identified from 9-11 source-related factors contributing to the stack emissions depending on the building. The factors that were similar between buildings were major contributors to trichloroethylene (TCE), acetone, and ethanol emissions. Several other factors had similar profiles for two or more buildings but not for all four. One factor for each building was a combination of p/m-xylene, o-xylene and ethylbenzene. At least one factor for each building was identified that contained a broad mix of many species and constraints were used in PMF to modify the factors to resemble more closely the off-shift concentration profiles. PMF accepted the constraints with little decrease in model fit. Although the PMF model predicted the profiles of the off-shift samples, the percent of total emissions was under-predicted by the model versus the measured data.

Ballinger, Marcel Y.; Larson, Timothy V.

2014-12-01T23:59:59.000Z

306

Complete genome sequence of Desulfomicrobium baculatum type strain (XT)  

SciTech Connect (OSTI)

Desulfomicrobium baculatum is the type species of the genus Desulfomicrobium, which is the type genus of the family Desulfomicrobiaceae. It is of phylogenetic interest because of the isolated location of the family Desulfomicrobiaceae within the order Desulfovibrionales. D. baculatum strain XT is a Gram-negative, motile, sulfate-reducing bacterium isolated from water-saturated manganese carbonate ore. It is strictly anaerobic and does not require NaCl for growth, although NaCl concentrations up to 6percent (w/v) are tolerated. The metabolism is respiratory or fermentative. In the presence of sulfate, pyruvate and lactate are incompletely oxidized to acetate and CO2. Here we describe the features of this organism, together with the complete genome sequence and annotation. This is the first completed genome sequence of a member of the deltaproteobacterial family Desulfomicrobiaceae, and this 3,942,657 bp long single replicon genome with its 3494 protein-coding and 72 RNA genes is part of the Genomic Encyclopedia of Bacteria and Archaea project.

Copeland, Alex; Spring, Stefan; Goker, Markus; Schneider, Susanne; Lapidus, Alla; Glavina Del Rio, Tijana; Tice, Hope; Cheng, Jan-Fang; Lucas, Susan; Chen, Feng; Nolan, Matt; Bruce, David; Goodwin, Lynne; Pitluck, Sam; Ivanova, Natalia; Mavrommatis, Konstantinos; Ovchinnikova, Galina; Pati, Amrita; Chen, Amy; Palaniappan, Krishna; Land, Miriam; Hauser, Loren; Chang, Yun-Juan; Jefferies, Cynthia C; Meincke, Linda; Sims, David; Brettin, Thomas; Detter, John C; Han, Cliff; Chain, Patrick; Bristow, James; Eisen, Jonathan; Markowitz, Victor; Hugenholtz, Philip; Klenk, Hans-Peter; Kyrpides, Nikos C; Lucas, Susan

2009-05-20T23:59:59.000Z

307

ON THE GAGE FACTOR FOR OPTICAL FIBER GRATING STRAIN GAGES  

E-Print Network [OSTI]

of grating and fiber types. KEY WORDS: Fiber-Optic Gratings, Fiber-Optic Sensors, Strain Gage Factor 1 theoretical background. Then, in Section 3, we discuss measurement methods followed by the experimental tests and results in Section 4, before concluding in Section 5. 2. THEORETICAL BACKGROUND Consider an FBG fabricated

Park, Yong-Lae

308

Factors Contributing to Petroleum Foaming. 1. Crude Oil Systems  

E-Print Network [OSTI]

of the crude oil and the type of separation scheme used, foaming problems can curtail crude oil productionFactors Contributing to Petroleum Foaming. 1. Crude Oil Systems Michael K. Poindexter,*, Nael N, Raleigh, North Carolina 27695 Received August 28, 2001 Gas/oil separation can often be accompanied

Kilpatrick, Peter K.

309

Dynamical modelling of luminous and dark matter in 17 Coma early-type galaxies  

E-Print Network [OSTI]

Dynamical models for 17 Coma early-type galaxies are presented. The galaxy sample consists of flattened, rotating as well as non-rotating early-types including cD and S0 galaxies with luminosities between M=-18.79 and M=-22.56. Kinematical long-slit observations cover at least the major and minor axis and extend to 1-4 effective radii. Axisymmetric Schwarzschild models are used to derive stellar mass-to-light ratios and dark halo parameters. In every galaxy models with a dark matter halo match the data better than models without. The statistical significance is over 95 percent for 8 galaxies, around 90 percent for 5 galaxies and for four galaxies it is not significant. For the highly significant cases systematic deviations between observed and modelled kinematics are clearly seen; for the remaining galaxies differences are more statistical in nature. Best-fit models contain 10-50 percent dark matter inside the half-light radius. The central dark matter density is at least one order of magnitude lower than the luminous mass density. The central phase-space density of dark matter is often orders of magnitude lower than in the luminous component, especially when the halo core radius is large. The orbital system of the stars along the major-axis is slightly dominated by radial motions. Some galaxies show tangential anisotropy along the minor-axis, which is correlated with the minor-axis Gauss-Hermite coefficient H4. Changing the balance between data-fit and regularisation constraints does not change the reconstructed mass structure significantly. Model anisotropies tend to strengthen if the weight on regularisation is reduced, but the general property of a galaxy to be radially or tangentially anisotropic, respectively, does not change. (abridged)

J. Thomas; R. P. Saglia; R. Bender; D. Thomas; K. Gebhardt; J. Magorrian; E. M. Corsini; G. Wegner

2007-09-05T23:59:59.000Z

310

Soft Typing PHP Patrick Camphuijsen  

E-Print Network [OSTI]

Soft Typing PHP Patrick Camphuijsen Jurriaan Hage Stefan Holdermans Technical Report UU-CS-2009.O. Box 80.089 3508 TB Utrecht The Netherlands #12;Soft Typing PHP with PHP-validator Patrick Camphuijsen@cs.uu.nl Abstract PHP is a popular language for building websites, but also notori- ously lax in that almost every

Utrecht, Universiteit

311

Cofinal types of directed orders  

E-Print Network [OSTI]

, ) directed partial orders #12;Cofinal types (P, ), (Q, ) directed partial orders Tukey reducibility: (P orders Tukey reducibility: (P, ) T (Q, ) if f : P Q X P unbounded = f [X] Q unbounded g : Q P Y Q cofinal = g[Y ] P cofinal #12;Cofinal types (P, ), (Q, ) directed partial orders Tukey reducibility: (P

Mátrai, Tamás

312

New approaches for modeling type Ia supernovae  

E-Print Network [OSTI]

runaway in Type Ia supernovae: How to run away? oIgnition in Type Ia Supernovae. II. A Three- dimensionalnumber modeling of type Ia supernovae. I. hydrodynamics.

Zingale, Michael; Almgren, Ann S.; Bell, John B.; Day, Marcus S.; Rendleman, Charles A.; Woosley, Stan

2007-01-01T23:59:59.000Z

313

Regular Type III and Type N Approximate Solutions  

E-Print Network [OSTI]

New type III and type N approximate solutions which are regular in the linear approximation are shown to exist. For that, we use complex transformations on self-dual Robinson-Trautman metrics rather then the classical approach. The regularity criterion is the boundedness and vanishing at infinity of a scalar obtained by saturating the Bel-Robinson tensor of the first approximation by a time-like vector which is constant with respect to the zeroth approximation.

Philip Downes; Paul MacAllevey; Bogdan Nita; Ivor Robinson

2001-05-18T23:59:59.000Z

314

Reliability and Validity: One Factor and Third Factor Tests  

E-Print Network [OSTI]

Chapter 7 Reliability and Validity: One Factor and Third Factor Tests D. White and A. Korotayev 26 Sept 2003 Html links are live Reliability and validity are crucial issues in research. Reliability may have high validity but low reliability, in which case its correlations with other high validity

White, Douglas R.

315

P-type gallium nitride  

DOE Patents [OSTI]

Several methods have been found to make p-type gallium nitride. P-type gallium nitride has long been sought for electronic devices. N-type gallium nitride is readily available. Discovery of p-type gallium nitride and the methods for making it will enable its use in ultraviolet and blue light-emitting diodes and lasers. pGaN will further enable blue photocathode elements to be made. Molecular beam epitaxy on substrates held at the proper temperatures, assisted by a nitrogen beam of the proper energy produced several types of p-type GaN with hole concentrations of about 5{times}10{sup 11} /cm{sup 3} and hole mobilities of about 500 cm{sup 2} /V-sec, measured at 250 K. P-type GaN can be formed of unintentionally-doped material or can be doped with magnesium by diffusion, ion implantation, or co-evaporation. When applicable, the nitrogen can be substituted with other group III elements such as Al. 9 figs.

Rubin, M.; Newman, N.; Fu, T.; Ross, J.; Chan, J.

1997-08-12T23:59:59.000Z

316

P-type gallium nitride  

DOE Patents [OSTI]

Several methods have been found to make p-type gallium nitride. P-type gallium nitride has long been sought for electronic devices. N-type gallium nitride is readily available. Discovery of p-type gallium nitride and the methods for making it will enable its use in ultraviolet and blue light-emitting diodes and lasers. pGaN will further enable blue photocathode elements to be made. Molecular beam epitaxy on substrates held at the proper temperatures, assisted by a nitrogen beam of the proper energy produced several types of p-type GaN with hole concentrations of about 5.times.10.sup.11 /cm.sup.3 and hole mobilities of about 500 cm.sup.2 /V-sec, measured at 250.degree. K. P-type GaN can be formed of unintentionally-doped material or can be doped with magnesium by diffusion, ion implantation, or co-evaporation. When applicable, the nitrogen can be substituted with other group III elements such as Al.

Rubin, Michael (Berkeley, CA); Newman, Nathan (Montara, CA); Fu, Tracy (Berkeley, CA); Ross, Jennifer (Pleasanton, CA); Chan, James (Berkeley, CA)

1997-01-01T23:59:59.000Z

317

GALEX UV Color Relations for Nearby Early-Type Galaxies  

E-Print Network [OSTI]

We use GALEX/optical photometry to construct color-color relationships for early-type galaxies sorted by morphological type. We have matched objects in the GALEX GR1 public release and the first IR1.1 internal release, with the RC3 early-type galaxies having a morphological type -5.5percent (~4%) of Ellipticals and ~15% of Lenticulars; this would make about 10% of early-type galaxies with residual star formation in our full sample of 130 early-type galaxies. We also plot FUV-NUV vs. the Mg_2 index and central velocity dispersion. We find a tight anti-correlation between FUV-NUV and the Mg_2 index(...).

Jose Donas; Jean-Michel Deharveng; R. Michael Rich; Sukyoung K. Yi; Young-Wook Lee; Alessandro Boselli; Armando Gil de Paz; Samuel Boissier; Stephane Charlot; Samir Salim; Luciana Bianchi; Tom A. Barlow; Karl Forster; Peter G. Friedman; Timothy M. Heckman; Barry F. Madore; D. Christopher Martin; Bruno Milliard; Patrick Morrissey; Susan G. Neff; David Schiminovich; Mark Seibert; Todd Small; Alex S. Szalay; Barry Y. Welsh; Ted K. Wyder

2006-08-29T23:59:59.000Z

318

Enhancement factors for resuspended aerosol radioactivity: Effects of topsoil disturbance  

SciTech Connect (OSTI)

The enhancement factor for airborne radionuclides resuspended by wind is defined as the ratio of the activity density (Bq g{sup {minus}1}) in the aerosol to the activity density in the underlying surface of contaminated soil. Enhancement factors are useful for assessment of worst-case exposure scenarios and transport conditions, and are one of the criteria for setting environmental standards for radioactivity in soil. This paper presents results of experimental studies where resuspension of {sup 239}Pu was measured when air concentrations were equilibrated to the soil surface. Enhancement factors were observed for several types of man-made disturbances (bulldozer-blading, soil raking, vacuum-cleaning) and natural disturbances (springtime thaw, soil-drying, wildfire). For some cases, enhancement factors are compared over range of geographical locations (Bikini Atoll, California, Nevada, and South Carolina). The particle-size distributions of aerosol activity are compared to particle-size distributions of the underlying soil.

Shinn, J.H.

1991-11-01T23:59:59.000Z

319

Technology and Organizational Factors in the Notebook Industry Supply Chain  

E-Print Network [OSTI]

3 Profit Margins (Percent) for Taiwanese ODMs GPM a NPM bGPM NPMGPM NPM GPM NPM Company Quanta Compal Wistron Asustek Mitac

Foster, William; Cheng, Zhang; Dedrick, Jason; Kraemer, Kenneth L

2006-01-01T23:59:59.000Z

320

Emission Factor for Antimony in Brake Abrasion Dusts as One of the  

E-Print Network [OSTI]

originating from automobiles. Abrasion dusts from commercially available brake pads (nonasbestos organic type factors originating from automobiles were approximately 32 µg Sb/braking/car for PM10 and 22 µg Sb of automobiles to the atmospheric Sb concen- tration. The emission factors of pollutants from automobiles have

Short, Daniel

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


321

Development of scaling rules for Rutherford type superconducting cables  

SciTech Connect (OSTI)

During the R D phase of the Superconducting Supercollider (SSC) program, LBL was responsible for establishing the parameters for cables used in SSC dipole and quadrupole magnets. In addition, the design and fabrication of a new cable for use in the Low Beta Quadrupoles. As a result of the development work on these and other cables, we have arrived a set of scaling rules which provide guidelines for choosing the parameters for a wide range of superconducting cables. These parameters include strand size, strand number, keystone angle, percent compaction, cable pitch and compacted cable dimensions. In addition, we have defined the tolerance ranges for the key cable manufacturing parameters such as mandrel size and shape, stand tension, and Turkshead temperature control. In this paper, we present the results on cables ranging from 8 strands to 36 strands of 0.65mm wire and from 8 strands to 30 strands of 0.8mm wire. We use these results to demonstrate the application of the scaling rules for Rutherford-type cable.

Royet, J.M.; Scanlan, R.M.

1990-09-01T23:59:59.000Z

322

Requirements for Foreign National Payments Type of Payment Visa Type  

E-Print Network [OSTI]

8233 36% 36% Royalty* NA NA NA NA Yes NA* No Yes W8BEN Varies 1. The visa types listed are the most related to the field of study on the I-20. 10. For Royalty payments the visa doc is not needed when

Wolpert, Robert L

323

Do risk factors explain the increased prevalence of type 2 diabetes among California Asian adults?  

E-Print Network [OSTI]

the United States: March 2000 (Update) (PPL-146). Availablepopulation/www/socdemo/race/ppl-146. html. Accessed 7 Mar

Choi, Sarah E; Chow, Vincent H; Chung, Sarah J; Wong, Nathan D

2011-01-01T23:59:59.000Z

324

Sleep duration and cardiometabolic risk factors among individuals with type 2 diabetes  

E-Print Network [OSTI]

sphygmomanometer (Omron M4, UK). HbA1c was measured in venous samples using an ion-exchange high-performance liquid chromatography method (Tosoh Bioscience, Redditch, UK). Serum triacylglycerol, total cholesterol, HDL- and LDL-cholesterol were measured using...

Cooper, Andrew J. M.; Westgate, Kate; Brage, Soren; Prevost, A. Toby; Griffin, Simon J.; Simmons, Rebecca K.

2014-01-01T23:59:59.000Z

325

Anthropometric measures and lipid coronary heart disease risk factors in Korean immigrants with type 2 diabetes.  

E-Print Network [OSTI]

against a mercury sphygmomanometer and has been reported toconventional stethoscope sphygmomanometer. Two readings 2

Choi, Sarah

2011-01-01T23:59:59.000Z

326

Interplay Between Viral and Cellular Factors Determines the Fate of Herpes Simplex Virus type I Infection  

E-Print Network [OSTI]

are Attenuated for Viral Replication and Impaired for Explant- Induced Reactivation 2.1 Abstract 2.2 Materials and Methods 2.3 Results 2.4 Discussion 2.5 Figures and Figure legends Chapter 3: N-terminal phosphorylation sites of herpes simplex virus 1 ICP0... differentially regulate its activities and enhance viral replication. 3.1 Abstract 3.2 Materials and Methods 3.3 Results 3.4 Discussion 3.5 Tables 3.6 Figures and Figure legends Chapter 4: Two Amino Acid Substitutions in Herpes Simplex Virus 1 ICP6 Impair...

Mabrouk-Mostafa, Heba

2014-05-31T23:59:59.000Z

327

Genomes & Developmental Control Med-type GATA factors and the evolution of mesendoderm  

E-Print Network [OSTI]

Riverside, 3380 Spieth Hall, Riverside, CA 92521, USA Received for publication 18 May 2005, revised 7, and that there may be a mechanism that selects against the acquisition of introns in these genes. D 2005 Elsevier Inc (Bowerman et al., 1992). In the mother of MS and E, called EMS, SKN-1 activates the expression of the med-1

Maduro, Morris F.

328

Factors affecting the adoption of recommended agricultural practices by three different types of farmers in Mexico  

E-Print Network [OSTI]

on the situation, the relevancy of learned skills and abilities to the situation and the initial inherited potential for learning (11). Social power exists and is exercised in every social system, including the community. The leaders with the most power have... that power primarily 13 because of their influence (28). Powers (28) reported that. leaders have probably held authority positions in community organizations 5 to 15 years previously. They are generally past 50 years of age, have higher than average...

Garza-Falcon, Gilberto Severino

1968-01-01T23:59:59.000Z

329

Integer factorization is in P  

E-Print Network [OSTI]

can be solved by a deterministic Turing machine in polynomial time(see e.g.. Cormen et al. (2009)). Theorem 5. Integer factorization is in FP. Algorithm 2 can be ...

owner

2014-04-07T23:59:59.000Z

330

Automatic Test Factoring for Java  

E-Print Network [OSTI]

Test factoring creates fast, focused unit tests from slow system-widetests; each new unit test exercises only a subset of the functionalityexercised by the system test. Augmenting a test suite with factoredunit tests ...

Saff, David

2005-06-08T23:59:59.000Z

331

EFFICIENT STRUCTURED MULTIFRONTAL FACTORIZATION FOR ...  

E-Print Network [OSTI]

Such rank phenomenon is indeed observed for the .... Moreover, the HSS tree can help quickly identify any off-diagonal block of the ...... Table 4.1. Factorization cost ?fact, solution cost ?sol, and storage ?mem of the structured multifrontal.

2013-03-21T23:59:59.000Z

332

Human Factors of Reporting Systems  

E-Print Network [OSTI]

Johnson,C.W. P. Carayon (ed.), A Handbook of Human Factors and Ergonomics in Healthcare and Patient Safety, Lawrence Erlbaum, London, UK. pp 715-750 Lawrence Erlbaum Associates

Johnson, C.W.

333

Molecular Gas in Early-type Galaxies  

E-Print Network [OSTI]

on the L CO ? H 2 conversion factor that applies. In NGCJy for CO(2–1) using a conversion factor of 4.73 Jy K ?1 ,by the K per Jy conversion factor of the adopted beam of

Alatalo, Katherine Anne

2012-01-01T23:59:59.000Z

334

Radiant-interchange configuration factors  

E-Print Network [OSTI]

RADIANT-INTERCHANGE CONFIGURATION FACTORS A Thesis By THOMAS E DW ARD RE D DIN Submitted to the Graduate College of the Texas A)M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE January 1965 Major... wife, Dorene, whose patience and encouragement have been a constant source of inspiration. TABLE OF CONTENTS CHAPTER I . INTRODUCTION PAGE ~ 0 1 II. THE GEOMETRY OF THE BLACK BODY CONFIGURATION FACTOR. . . , . . . . . . . . . . . . . . . . 3 1...

Reddin, Thomas Edward

1965-01-01T23:59:59.000Z

335

Dark fleshed varieties (Bing type) in regular type, light fleshed varieties (Rainier type) in italics Sweet Cherries  

E-Print Network [OSTI]

Dark fleshed varieties (Bing type) in regular type, light fleshed varieties (Rainier type and Royalton. For more information about these and other varieties, visit our web site at www

336

Country Scotland Type Single malt  

E-Print Network [OSTI]

Country Scotland Type Single malt Distillery Aberfeldy Region Highlands Age 12 years ABV 40% Cask, the perfume characteristics become more spicy, with a bitter hint of Seville oranges in a decidedly dry finish. Drying citrus/oak with a gentle spiciness, held in a warm embrace of cigar smoke, and a little vanilla

Izzard, Rob

337

Country Scotland Type Single malt  

E-Print Network [OSTI]

Country Scotland Type Single malt Distillery Jura Region Island Name Prophecy ABV 46 Cask French airport Notes Limited annual release: 10,000 bottles only. Nose Some peat, aniseed, oily, dry, pungent, dried hay, and anise round things out. Palate Smoky and dry, a muscular, powerful Jura with notes

Izzard, Rob

338

Automatic Utterance Type Detection Using Suprasegmental Features   

E-Print Network [OSTI]

that different types of utterances have different suprasegmental characteristics. The categorisation of these utterance types is based on the theory of conversation games and consists of 12 move types (e.g. reply to a question, wh-question, acknowledgement...

Wright, Helen

339

Some evidence on determinants of fuel economy as a function of driving cycle and test type  

SciTech Connect (OSTI)

Statistical methods are used with 107 vehicles whose fuel economy was presented and reported for five test types in a single publication by Consumers Union (CU) for 1986--1988 vehicles. Standard loglinear statistical formulations (i.e., multiplicative models of interactions) are used with data from this and supplementary sources to develop coefficients estimating the percent fuel economy gain per percent change in engine/vehicle design characteristic. The coefficients are developed for the five different test conditions evaluated by CU and are compared with each other on the basis of attributes of the tests. The insights of engineering models are used to develop expectations regarding the shift in size of coefficients as driving cycles change. In both the engineering models and the statistical model, the effect of weight is estimated to be higher in urban driving than in highway driving. For two test categories -- field tests and dynamometer tests -- the benefits of weight reduction are statistically estimated to be greatest in urban driving conditions. The effect on idle fuel flow rate of designing vehicles to hold performance roughly constant by maintaining power per kilogram and/or displacement per kilogram is examined, and its implication for the size of the weight effect is simply approximated from Sovran`s 1983 engineering model results. The fuel-economy-decreasing effect of the desire for performance is estimated to be somewhat larger in the statistical analysis than in the NAS study, when engine technology is held constant.

Santini, D.J.; Anderson, J.

1993-08-01T23:59:59.000Z

340

New Precision Limit on the Strange Vector Form Factors of the Proton  

SciTech Connect (OSTI)

The parity-violating cross-section asymmetry in the elastic scattering of polarized electrons from unpolarized protons has been measured at a four-momentum transfer squared Q2 = 0.624 GeV2 and beam energy Eb = 3.48 GeV to be APV = -23.80 ± 0.78 (stat) ± 0.36 (syst) parts per million. This result is consistent with zero contribution of strange quarks to the combination of electric and magnetic form factors GEs + 0.517 GMs = 0.003 ± 0.010 (stat) ± 0.004 (syst) ± 0.009 (ff), where the third error is due to the limits of precision on the electromagnetic form factors and radiative corrections. With this measurement, the world data on strange contributions to nucleon form factors are seen to be consistent with zero and not more than a few percent of the proton form factors.

Ahmed, Z; Allada, K; Armstrong, D S; Arrington, J; Baturin, P; Bellini, V; Benesch, J; Beminiwattha, R; Benmokhtar, F; Canan, M; Camsonne, A; Cates, G D; Chen, J -P; Chudakov, E; Cisbani, E; Dalton, M M; de Jager, C W; De Leo, R; Deconinck, W; Decowski, P; Deng, X; Deur, A; Dutta, C; Franklin, G B; Friend, M; Frullani, S; Garibaldi, F; Giusa, A; Glamazdin, A; Golge, S; Grimm, K; Hansen, O; Higinbotham, D W; Holmes, R; Holmstrom, T; Huang, J; Huang, M; Hyde, C E; Jen, C M; Jin, G; Jones, D; Kang, H; King, P; Kowalski, S; Kumar, K S; Lee, J H; LeRose, J J; Liyanage, N; Long, E; McNulty, D; Margaziotis, D; Meddi, F; Meekins, D G; Mercado, L; Meziani, Z -E; Michaels, R; Munoz-Camacho, C; Mihovilovic, M; Muangma, N; Myers, K E; Nanda, S

2012-03-05T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

Transcription factor-based biosensor  

DOE Patents [OSTI]

The present invention provides for a system comprising a BmoR transcription factor, a .sigma..sup.54-RNA polymerase, and a pBMO promoter operatively linked to a reporter gene, wherein the pBMO promoter is capable of expression of the reporter gene with an activated form of the BmoR and the .sigma..sup.54-RNA polymerase.

2013-10-08T23:59:59.000Z

342

Spatial Data Types: Conceptual Foundation for  

E-Print Network [OSTI]

Spatial Data Types: Conceptual Foundation for the Design and Implementation of Spatial Database markus.schneider@fernuni-hagen.de #12;Markus Schneider, Tutorial "Spatial Data Types" 2 Abstract Spatial are usually called spatial data types, such as point, line, and region but also include more complex types

GĂĽting, Ralf Hartmut

343

XML Document XML Document Types and Validation  

E-Print Network [OSTI]

XML Document Types and Validation IIM-I340 Objectives XML Document Types and Validation IIM-I340 April, 2010 #12;XML Document Types and Validation IIM-I340 Objectives Learning Objectives Understand: The need for validation Two ways to specify validity: Document Type Definitions (DTDs) XML Schemas #12;XML

Weber, Gregory D.

344

hal00270574, Testing Data Types Implementations from  

E-Print Network [OSTI]

is data type abstraction, testing a concrete implementation raises the issue of the gap betweenhal­00270574, version 1 ­ 6 Apr 2008 Testing Data Types Implementations from Algebraic Speci#12.legall@ibisc.univ-evry.fr Abstract. Algebraic speci#12;cations of data types provide a natural basis for testing data types

Paris-Sud XI, Université de

345

Wheel-type magnetic refrigerator  

DOE Patents [OSTI]

The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load. 7 figs.

Barclay, J.A.

1983-10-11T23:59:59.000Z

346

Algorthmique Types abstraits de donns  

E-Print Network [OSTI]

abstrait de données (TAD) est : 1. un ensemble de données organisé et 2. d'opérations sur ces données. Il appel aux données et aux opérations abstraites du TAD (cou supérieure), 2. suivi d'un choix de représentation du TAD en mémoire (couche inférieure). Types abstraits de donn´ees ­ p.3/90 #12;Décomposition en

Brun, Chez Luc

347

Window Types | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless or Demand-TypeWelcome toFarm Growth Through theofWindow

348

An Introduction to Type Theory Dan Christensen  

E-Print Network [OSTI]

: Type a : A B : Type inl(a) : A + B A : Type b : B inr(b) : A + B C : Type p : A + B , x : A cA : C , y : B cB : C case(p, cA, cB) : C C : Type a : A , x : A cA : C , y : B cB : C case(inl(a), c

Christensen, Dan

349

Existence of different intermediate Hamiltonians in type A N-fold supersymmetry  

SciTech Connect (OSTI)

Type A N-fold supercharge admits a one-parameter family of factorizations into product of N first-order linear differential operators due to an underlying GL(2,C) symmetry. As a consequence, a type A N-fold supersymmetric system can have different intermediate Hamiltonians corresponding to different factorizations. We derive the necessary and sufficient conditions for the latter system to possess intermediate Hamiltonians for the N=2 case. We then show that whenever it has (at least) one intermediate Hamiltonian, it can admit second-order parasupersymmetry and a generalized 2-fold superalgebra. As an illustration, we construct a set of generalized Poeschl-Teller potentials of this kind.

Bagchi, Bijan [Department of Applied Mathematics, University of Calcutta, 92 Acharya Prafulla Chandra Road, Kolkata 700 009 (India)], E-mail: bbagchi123@rediffmail.com; Tanaka, Toshiaki [Department of Physics, National Cheng-Kung University, Tainan 701, Taiwan (China); National Center for Theoretical Sciences, Taiwan (China)], E-mail: ttanaka@mail.ncku.edu.tw

2009-11-15T23:59:59.000Z

350

Factors Impacting Decommissioning Costs - 13576  

SciTech Connect (OSTI)

The Electric Power Research Institute (EPRI) studied United States experience with decommissioning cost estimates and the factors that impact the actual cost of decommissioning projects. This study gathered available estimated and actual decommissioning costs from eight nuclear power plants in the United States to understand the major components of decommissioning costs. Major costs categories for decommissioning a nuclear power plant are removal costs, radioactive waste costs, staffing costs, and other costs. The technical factors that impact the costs were analyzed based on the plants' decommissioning experiences. Detailed cost breakdowns by major projects and other cost categories from actual power plant decommissioning experiences will be presented. Such information will be useful in planning future decommissioning and designing new plants. (authors)

Kim, Karen; McGrath, Richard [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)] [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)

2013-07-01T23:59:59.000Z

351

Hydrogen in Type Ic Supernovae?  

E-Print Network [OSTI]

By definition, a Type Ic supernova (SN Ic) does not have conspicuous lines of hydrogen or helium in its optical spectrum. SNe Ic usually are modelled in terms of the gravitational collapse of bare carbon-oxygen cores. We consider the possibility that the spectra of ordinary (SN 1994I-like) SNe Ic have been misinterpreted, and that SNe Ic eject hydrogen. An absorption feature usually attributed to a blend of Si II 6355 and C II 6580 may be produced by H-alpha. If SN 1994I-like SNe Ic eject hydrogen, the possibility that hypernova (SN 1998bw-like) SNe Ic, some of which are associated with gamma-ray bursts, also eject hydrogen should be considered. The implications of hydrogen for SN Ic progenitors and explosion models are briefly discussed.

David Branch; David J. Jeffery; Timothy R. Young; E. Baron

2006-05-09T23:59:59.000Z

352

Chemical factors that control lignin polymerization  

SciTech Connect (OSTI)

Lignin is a complex, branched polymer that reinforces plant tissue. Understanding the factors that govern lignin structure is of central importance to the development of technologies for converting lignocellulosic biomass into fuels because lignin imparts resistance to chemical, enzymatic and mechanical deconstruction. Lignin is formed by enzymatic oxidation of phenolic monomers (monolignols) of three main types, guaiacyl (G), syringyl (S) and p- hydroxyphenyl (H). It is known that increasing the relative abundance of H subunits results in lower molecular-weight lignin polymers, and hence more easily deconstructed biomass, but it is not known why. Here, we report an analysis of frontier molecular orbitals in mono-, di- and trilignols, calculated using density functional theory, which points to a requirement of strong p- electron density on the reacting phenolic oxygen atom of the neutral precursor for enzymatic oxidation to occur. This model is consistent with a proton-coupled electron transfer (PCET) mechanism and for the first time explains why H subunits in certain linkages ( - or -5) react poorly and tend to cap the polymer. In general, -5 linkages with either a G or H terminus are predicted to inhibit elongation. More broadly, the model correctly accounts for the reactivity of the phenolic groups in a diverse set of dilignols comprising H and G subunits. Thus, we provide a coherent framework for understanding the propensity toward growth or termination of different terminal subunits in lignin.

Sangha, Amandeep K [ORNL] [ORNL; Davison, Brian H [ORNL] [ORNL; Standaert, Robert F [ORNL] [ORNL; Davis, Dr. Mark F. [National Renewable Energy Laboratory (NREL)] [National Renewable Energy Laboratory (NREL); Smith, Jeremy C [ORNL] [ORNL; Parks, Jerry M [ORNL] [ORNL

2014-01-01T23:59:59.000Z

353

Factors influencing international graduate students' preferences concerning where they prefer to start their careers  

E-Print Network [OSTI]

groups, those who are not sure and those with defined preferences. Fifty-one percent of the students surveyed indicated they preferred to begin their careers in the U.S., 22 percent preferred their home countries, and 27 percent were not sure...

Musumba, Mark

2007-04-25T23:59:59.000Z

354

Comparison of crystal growth and thermoelectric properties of n-type Bi-Se-Te and p-type Bi-Sb-Te nanocrystalline thin films: Effects of homogeneous irradiation with an electron beam  

SciTech Connect (OSTI)

The effects of homogenous electron beam (EB) irradiation on the crystal growth and thermoelectric properties of n-type Bi-Se-Te and p-type Bi-Sb-Te thin films were investigated. Both types of thin films were prepared by flash evaporation, after which homogeneous EB irradiation was performed at an acceleration voltage of 0.17?MeV. For the n-type thin films, nanodots with a diameter of less than 10?nm were observed on the surface of rice-like nanostructures, and crystallization and crystal orientation were improved by EB irradiation. The resulting enhancement of mobility led to increased electrical conductivity and thermoelectric power factor for the n-type thin films. In contrast, the crystallization and crystal orientation of the p-type thin films were not influenced by EB irradiation. The carrier concentration increased and mobility decreased with increased EB irradiation dose, possibly because of the generation of defects. As a result, the thermoelectric power factor of p-type thin films was not improved by EB irradiation. The different crystallization behavior of the n-type and p-type thin films is attributed to atomic rearrangement during EB irradiation. Selenium in the n-type thin films is more likely to undergo atomic rearrangement than the other atoms present, so only the crystallinity of the n-type Bi-Se-Te thin films was enhanced.

Takashiri, Masayuki, E-mail: takashiri@tokai-u.jp; Imai, Kazuo; Uyama, Masato; Nishi, Yoshitake [Department of Materials Science, Tokai University, 4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292 (Japan); Hagino, Harutoshi; Miyazaki, Koji [Department of Mechanical and Control Engineering, Kyushu Institute of Technology, 1-1 Sensui, Tobata-ku, Kitakyushu 804-8550 (Japan); Tanaka, Saburo [Department of Mechanical Engineering, College of Engineering, Nihon University, Nakagawara, Tokusada, Tamuramachi, Koriyama, Fukushima 963-8642 (Japan)

2014-06-07T23:59:59.000Z

355

Factors affecting the selling prices of small firms  

E-Print Network [OSTI]

58 percent of the jobs in the United Stated are created by firms with fewer than 500 employees (Davis, et al. [1998]). Yet, there is only limited research done on the industry trends and conditions affecting small company ...

Somervuo, Timo J. (Timo Juhani)

2008-01-01T23:59:59.000Z

356

Ideal bandpasses for type Ia supernova cosmology  

E-Print Network [OSTI]

diversity of type Ia Supernovae, in preparation. Kim, A.error in measurements of supernovae depends on a periodicABSTRACT To use type Ia supernovae as standard candles for

Davis, Tamara M.; Schmidt, Brian P.; Kim, Alex G.

2005-01-01T23:59:59.000Z

357

New approaches for modeling type Ia supernovae  

E-Print Network [OSTI]

ich and J. Stein. On the thermonuclear runaway in Type IaSmall-Scale Stability of Thermonuclear Flames o in Type IaS. E. Woosley. The thermonuclear explosion of chandrasekhar

Zingale, Michael; Almgren, Ann S.; Bell, John B.; Day, Marcus S.; Rendleman, Charles A.; Woosley, Stan

2007-01-01T23:59:59.000Z

358

Archive Reference Buildings by Building Type: Warehouse  

Broader source: Energy.gov [DOE]

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

359

Archive Reference Buildings by Building Type: Supermarket  

Broader source: Energy.gov [DOE]

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

360

Hydrogeologic and topographic factors influencing well yields in fractured crystalline rocks - Seoul, Republic of Korea  

E-Print Network [OSTI]

, it is necessary to evaluate the factors affecting specific capacity. Siddiqui and Parizek (1971) state that the specific capacity of' a well may be affected by the well radiils, srdilrated thickness of rock penetrated by the well and several other factors.... (Siegel, 1956). In the present study, it was applied to evaluate the significance of differences in the effects of topographic setting, rock type, and distance from the Han River on the productivity of wells (Table 2). The statistic, V, used...

Kim, Sang-Il

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

Rates and progenitors of type Ia supernovae  

E-Print Network [OSTI]

Supernovae . . . . . . . . . . . . . . . . . . . .Supernovae Found 5.1 Introduction . . . . . . . . . . . .1.2 Non-Type Ia Supernovae . . . . . . . . . . . . . . . 1.3

Wood-Vasey, William Michael

2004-01-01T23:59:59.000Z

362

Overload permit rules applicable to H-type and HS-type bridges  

E-Print Network [OSTI]

This document defines standards for issuing permits for overweight vehicles crossing standard H-type and HS-type Texas highway bridges. A general formula and a bridge specific formula have been developed for simple spans of both bridge types...

Litchfield, Stephen Charles

1994-01-01T23:59:59.000Z

363

The 2dF Galaxy Redshift Survey: The dependence of galaxy clustering on luminosity and spectral type  

E-Print Network [OSTI]

We investigate the dependence of galaxy clustering on luminosity and spectral type using the 2dF Galaxy Redshift Survey (2dFGRS). Spectral types are assigned using the principal component analysis of Madgwick et al. We divide the sample into two broad spectral classes: galaxies with strong emission lines (`late-types'), and more quiescent galaxies (`early-types'). We measure the clustering in real space, free from any distortion of the clustering pattern due to peculiar velocities, for a series of volume-limited samples. The projected correlation functions of both spectral types are well described by a power law for transverse separations in the range 2 < (sigma/Mpc/h) < 15, with a marginally steeper slope for early-types than late-types. Both early and late types have approximately the same dependence of clustering strength on luminosity, with the clustering amplitude increasing by a factor of ~2.5 between L* and 4 L*. At all luminosities, however, the correlation function amplitude for the early-types is ~50% higher than that of the late-types. These results support the view that luminosity, and not type, is the dominant factor in determining how the clustering strength of the whole galaxy population varies with luminosity.

P. Norberg; C. M. Baugh; E. Hawkins; S. Maddox; D. Madgwick; O. Lahav; S. Cole; C. S. Frenk; I. Baldry; J. Bland-Hawthorn; T. Bridges; R. Cannon; M. Colless; C. Collins; W. Couch; G. Dalton; S. P. Driver; G. Efstathiou; R. S. Ellis; K. Glazebrook; C. Jackson; I. Lewis; S. Lumsden; J. A. Peacock; B. A. Peterson; W. Sutherland; K. Taylor; the 2dFGRS Team

2002-01-24T23:59:59.000Z

364

Fuzzy Typing for Document Management Alison HUETTNER  

E-Print Network [OSTI]

Fuzzy Typing for Document Management Alison HUETTNER Clairvoyance Corporation 5301 Fifth Avenue method of document analysis and management, based on a combination of techniques from NLP and fuzzy logic typing for document management. The fuzzy typing approach is general in scope and can be applied to many

Wu, Dekai

365

Aspectual Session Types Nicolas Tabareau Mario Sdholt  

E-Print Network [OSTI]

Aspectual Session Types Nicolas Tabareau Mario SĂĽdholt ASCOLA Team Mines Nantes & Inria & LINA locally in each peer. Well-typed processes behave accordingly to the global protocol specification to support modular extensions with aspectual session types, a static pointcut/advice mechanism at the session

Paris-Sud XI, Université de

366

Type Ia Supernova Carbon Footprints  

E-Print Network [OSTI]

We present convincing evidence of unburned carbon at photospheric velocities in new observations of 5 Type Ia supernovae (SNe Ia) obtained by the Nearby Supernova Factory. These SNe are identified by examining 346 spectra from 124 SNe obtained before +2.5 d relative to maximum. Detections are based on the presence of relatively strong C II 6580 absorption "notches" in multiple spectra of each SN, aided by automated fitting with the SYNAPPS code. Four of the 5 SNe in question are otherwise spectroscopically unremarkable, with ions and ejection velocities typical of SNe Ia, but spectra of the fifth exhibits high-velocity (v > 20,000 km/s) Si II and Ca II features. On the other hand, the light curve properties are preferentially grouped, strongly suggesting a connection between carbon-positivity and broad band light curve/color behavior: Three of the 5 have relatively narrow light curves but also blue colors, and a fourth may be a dust-reddened member of this family. Accounting for signal-to-noise and phase, we ...

Thomas, R C; Aragon, C; Antilogus, P; Bailey, S; Baltay, C; Bongard, S; Buton, C; Canto, A; Childress, M; Chotard, N; Copin, Y; Fakhouri, H K; Gangler, E; Hsiao, E Y; Kerschhaggl, M; Kowalski, M; Loken, S; Nugent, P; Paech, K; Pain, R; Pecontal, E; Pereira, R; Perlmutter, S; Rabinowitz, D; Rigault, M; Rubin, D; Runge, K; Scalzo, R; Smadja, G; Tao, C; Weaver, B A; Wu, C; Brown, P J; Milne, P A

2011-01-01T23:59:59.000Z

367

Impact Factor: 1.852  

E-Print Network [OSTI]

In this Paper, the performance of 10-tranistor based full adder is analyzed and compared with that of two different types of full adder based on Swing Restored Complementary pass transistor (SR-CPL) XOR/XNOR logic gate and Double pass transistor logic (DPL) based CMOS Full Adder is designed using Tanner EDA Tool based up on 0.25µm CMOS Technology. As part of this we have performed the simulation of CMOS full adder using T-SPICE and BSIM3v31 tools of Tanner EDA. The parameters of power consumption, Area, Propagation Delay, and Power Delay Product (PDP) are evaluated to analyze the proposed Low Power full adder.

K. Babulu; G. Vinutna Ujwala

368

Dissecting Soft Radiation with Factorization  

E-Print Network [OSTI]

An essential part of high-energy hadronic collisions is the soft hadronic activity that underlies the primary hard interaction. It includes soft radiation from the primary hard partons, secondary multiple parton interactions (MPI), and factorization-violating effects. The invariant mass spectrum of the leading jet in $Z$+jet and $H$+jet events is directly sensitive to these effects, and we use a QCD factorization theorem to predict its dependence on the jet radius $R$, jet $p_T$, jet rapidity, and partonic process for both the perturbative and nonperturbative components of primary soft radiation. We prove that the nonperturbative contributions involve only odd powers of $R$, and the linear $R$ term is universal for quark and gluon jets. The hadronization model in PYTHIA8 agrees well with these properties. The perturbative soft initial state radiation (ISR) has a contribution that depends on the jet area in the same way as the underlying event, but this degeneracy is broken by dependence on the jet $p_T$. The size of this soft ISR contribution is proportional to the color state of the initial partons, yielding the same positive contribution for $gg\\to Hg$ and $gq\\to Zq$, but a negative interference contribution for $q\\bar q\\to Z g$. Hence, measuring these dependencies allows one to separate hadronization, soft ISR, and MPI contributions in the data.

Iain W. Stewart; Frank J. Tackmann; Wouter J. Waalewijn

2015-02-10T23:59:59.000Z

369

Computing prime factors with a Josephson phase qubit quantum processor  

E-Print Network [OSTI]

A quantum processor (QuP) can be used to exploit quantum mechanics to find the prime factors of composite numbers[1]. Compiled versions of Shor's algorithm have been demonstrated on ensemble quantum systems[2] and photonic systems[3-5], however this has yet to be shown using solid state quantum bits (qubits). Two advantages of superconducting qubit architectures are the use of conventional microfabrication techniques, which allow straightforward scaling to large numbers of qubits, and a toolkit of circuit elements that can be used to engineer a variety of qubit types and interactions[6, 7]. Using a number of recent qubit control and hardware advances [7-13], here we demonstrate a nine-quantum-element solid-state QuP and show three experiments to highlight its capabilities. We begin by characterizing the device with spectroscopy. Next, we produces coherent interactions between five qubits and verify bi- and tripartite entanglement via quantum state tomography (QST) [8, 12, 14, 15]. In the final experiment, we run a three-qubit compiled version of Shor's algorithm to factor the number 15, and successfully find the prime factors 48% of the time. Improvements in the superconducting qubit coherence times and more complex circuits should provide the resources necessary to factor larger composite numbers and run more intricate quantum algorithms.

Erik Lucero; Rami Barends; Yu Chen; Julian Kelly; Matteo Mariantoni; Anthony Megrant; Peter O'Malley; Daniel Sank; Amit Vainsencher; James Wenner; Ted White; Yi Yin; Andrew N. Cleland; John M. Martinis

2012-02-26T23:59:59.000Z

370

Rice Quality Factors: Implications For Management Decisions.  

E-Print Network [OSTI]

. These records accounted for 24, 26, and 27 percent, respectively, of Texas production during the years surveyed. The markets are located at Alvin, Danbury, Bay City, EI Campo, and Ganado. Data were available from two other markets but were not used because.... Yet this market had a much lower percentage of grades 1 and 2 than the other markets (Tables B.14-B.18). Overall, quality averaged about one grade lower at Alvin compared with quality at Bay City, Ganado, and EI Campo markets. Nearness...

Grant, Warren R.; Rister, Edward, M.; Brorsen, B. Wade

1986-01-01T23:59:59.000Z

371

Iron acquisition and utilization by Rhodococcus equi: potential virulence factors  

E-Print Network [OSTI]

. . . . . . . . . . . . . . . . Growth of R. equi in minimal media (MM) and MM without iron 66 (MM-Fe) . . 67 12 13 Growth of R. equi in 100 ItM DIP + varying iron concentrations. . . . . . . . . 68 Effects of iron source (FeSO& or FeCls) onin vitro growth of R. equi. . . 69.... , virulence factors) against oxidative stress Three types of bacterial SODs have been described: those that contain either iron (Fe SOD), manganese (MnSOD), or copper-zinc (Cu-ZnSOD)(85). If the appropriate minerals are not available for production of SODs...

Carnes, Misty Lee

2002-01-01T23:59:59.000Z

372

RESEARCH ARTICLE A novel soil organic C model using climate, soil type  

E-Print Network [OSTI]

RESEARCH ARTICLE A novel soil organic C model using climate, soil type and management data-Verlag, France 2012 Abstract This report evidences factors controlling soil or- ganic carbon at the national scale by modelling data of 2,158 soil samples from France. The global soil carbon amount, of about 1

Paris-Sud XI, Université de

373

Dark Energy and Tachyon Field in Bianchi Type-V Space-time  

E-Print Network [OSTI]

In this paper, we consider Bianchi type-V space-time and study a cosmological model of dark energy based on Tachyon scalar field. We assumed three different kinds of matter without possibility of interaction with scalar dark energy. Assuming power law Hubble parameter in terms of scale factor we obtain evolution of scalar field, scalar potential and equation of state parameter.

J. Sadeghi; H. Farahani

2014-04-15T23:59:59.000Z

374

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

375

Guidelines for Power Factor Improvement Projects  

E-Print Network [OSTI]

Power factor is an indication of electrical system efficiency. Low power factor, or low system efficiency, may be due to one or more causes, including lightly loaded transformers, oversized electric motors, and harmonic-generating non-linear loads...

Massey, G. W.

376

Cone Penetrometer N Factor Determination Testing Results  

SciTech Connect (OSTI)

This document contains the results of testing activities to determine the empirical 'N Factor' for the cone penetrometer in kaolin clay simulant. The N Factor is used to releate resistance measurements taken with the cone penetrometer to shear strength.

Follett, Jordan R.

2014-03-05T23:59:59.000Z

377

Crop Management Factors: What is Important?  

E-Print Network [OSTI]

Various management factors, including specific practices and the persistence of those practices over time, can greatly influence farm profitability. Some of those factors are managing for high yield or low production cost, as well as adoption...

Kastens, Terry L.; Dhuyvetter, Kevin C.; Nivens, Heather; Klinefelter, Danny A.

1999-09-29T23:59:59.000Z

378

Year","Quarter","Destination State","Origin State","Consumer Type","Transportati  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: SulfurBase4,"Ames City of",6,1,"OmahaThousand Cubic Feet) Year Jan Feb7 1993 January 1994

379

Year","Quarter","Origin State","Destination State","Consumer Type","Transportati  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: SulfurBase4,"Ames City of",6,1,"OmahaThousand Cubic Feet) Year Jan Feb7 1993 January 1994Origin

380

Prime Factorization in the Duality Computer  

E-Print Network [OSTI]

We give algorithms to factorize large integers in the duality computer. We provide three duality algorithms for factorization based on a naive factorization method, the Shor algorithm in quantum computing, and the Fermat's method in classical computing. All these algorithms are polynomial in the input size.

Wan-Ying Wang; Bin Shang; Chuan Wang; Gui Lu Long

2006-07-04T23:59:59.000Z

Note: This page contains sample records for the topic "factor percent type" 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

Infrared Scales and Factorization in QCD  

E-Print Network [OSTI]

Effective field theory methods are used to study factorization of the deep inelastic scattering cross-section. The cross-section is shown to factor in QCD, even though it does not factor in perturbation theory for some choices of the infrared regulator. Messenger modes are not required in soft-collinear effective theory for deep inelastic scattering as x -> 1.

Aneesh V. Manohar

2005-12-14T23:59:59.000Z

382

GUIDED ANGLER FISH ANNUAL CONVERSION FACTORS  

E-Print Network [OSTI]

GUIDED ANGLER FISH ANNUAL CONVERSION FACTORS FOR THE 2014 FISHING YEAR NOAA FISHERIES, ALASKA via the GAF electronic reporting system. If no GAF were harvested in a year, the conversion factor is the first calendar year that GAF regulations will be in effect. Therefore, the conversion factors are based

383

An experimental survey of the factors that affect leaching from low-level radioactive waste forms  

SciTech Connect (OSTI)

This report represents the results of an experimental survey of the factors that affect leaching from several types of solidified low-level radioactive waste forms. The goal of these investigations was to determine those factors that accelerate leaching without changing its mechanism(s). Typically, although not in every case,the accelerating factors include: increased temperature, increased waste loading (i.e., increased waste to binder ratio), and decreased size (i.e., decreased waste form volume to surface area ratio). Additional factors that were studied were: increased leachant volume to waste form surface area ratio, pH, leachant composition (groundwaters, natural and synthetic chelating agents), leachant flow rate or replacement frequency and waste form porosity and surface condition. Other potential factors, including the radiation environment and pressure, were omitted based on a survey of the literature. 82 refs., 236 figs., 13 tabs.

Dougherty, D.R.; Pietrzak, R.F.; Fuhrmann, M.; Colombo, P.

1988-09-01T23:59:59.000Z

384

Establishing Standard Source Energy and Emission Factors for Energy Use in Buildings  

SciTech Connect (OSTI)

This procedure provides source energy factors and emission factors to calculate the source (primary) energy and emissions from a building's annual site energy consumption. This report provides the energy and emission factors to calculate the source energy and emissions for electricity and fuels delivered to a facility and combustion of fuels at a facility. The factors for electricity are broken down by fuel type and presented for the continental United States, three grid interconnections, and each state. The electricity fuel and emission factors are adjusted for the electricity and the useful thermal output generated by combined heat and power (CHP) plants larger than one megawatt. The energy and emissions from extracting, processing, and transporting the fuels, also known as the precombustion effects, are included.

Deru, M.

2007-01-01T23:59:59.000Z

385

Factors controlling naphthenic acid corrosion  

SciTech Connect (OSTI)

A laboratory study was conducted to elucidate the influence of chemical and physical parameters on corrosion of type 1018 carbon steel (CS, UNS G10180) and 5% Cr-0.5% Mo steel in oils containing naphthenic acids (NAs) for application to crude oil refinery systems. Effects of test duration, temperature, and acid concentration were assessed for a range of single acids of varying carbon numbers and for NA mixtures in mineral oil (MO) and in heavy vacuum gas oil (HGVO). In addition, a limited study of the effect of hydrogen sulfide (H{sub 2}S) addition to the acid-oil mixture was conducted. Use of the total acid number (TAN) as a measure of corrosiveness of a crude oil was discredited further. For the same TAN value, molecular size and structure of the acid were shown to have an important influence. Tests conducted in HGVO showed lower corrosion rates than in MO, suggesting inhibition caused by S species in the oil or the steric hindrance of naphtheno-aromatic acids. In oil containing the mixture of NAs, the corrosion rate of type 1018 CS was lower than that for 5% Cr-0.5% Mo steel. The 0.1% H{sub 2}S that passed through the acid-oil mixtures had an inhibiting effect on corrosion. Predicting corrosiveness of a crude oil from the measurement of TAN, distribution of NA composition, and S content and form was particularly challenging. The simple tests used were informative, but further work will be required to establish a standard test method that can provide an adequate ranking of crudes.

Turnbull, A. [National Physical Lab., Teddington (United Kingdom); Slavcheva, E. [Bulgarian Academy of Sciences, Sofia (Bulgaria); Shone, B. [Ty Isa, Nr Mold (United Kingdom)

1998-11-01T23:59:59.000Z

386

A Bcool magnetic snapshot survey of solar-type stars  

E-Print Network [OSTI]

Stellar magnetic field measurements obtained from spectropolarimetry offer key data for activity and dynamo studies, and we present the results of a major high-resolution spectropolarimetric Bcool project magnetic snapshot survey of 170 solar-type stars from observations with the Telescope Bernard Lyot and the Canada-France-Hawaii Telescope. For each target star a high signal-to-noise circularly polarised Stokes V profile has been obtained using Least-Squares Deconvolution, and used to detect surface magnetic fields and measure the corresponding mean surface longitudinal magnetic field ($B_{l}$). Chromospheric activity indicators were also measured. Surface magnetic fields were detected for 67 stars, with 21 of these stars classified as mature solar-type stars, a result that increases by a factor of four the number of mature solar-type stars on which magnetic fields have been observed. In addition, a magnetic field was detected for 3 out of 18 of the subgiant stars surveyed. For the population of K-dwarfs the...

Marsden, S C; Jeffers, S V; Morin, J; Fares, R; Reiners, A; Nascimento, J D do; Auriere, M; Bouvier, J; Carter, B D; Catala, C; Dintrans, B; Donati, J -F; Gastine, T; Jardine, M; Konstantinova-Antova, R; Lanoux, J; Lignieres, F; Morgenthaler, A; Ramirez-Velez, J C; Theado, S; Van Grootel, V

2013-01-01T23:59:59.000Z

387

THE SLACS SURVEY. VIII. THE RELATION BETWEEN ENVIRONMENT AND INTERNAL STRUCTURE OF EARLY-TYPE GALAXIES  

SciTech Connect (OSTI)

We study the relation between the internal structure of early-type galaxies and their environment using 70 strong gravitational lenses from the SLACS Survey. The Sloan Digital Sky Survey (SDSS) database is used to determine two measures of overdensity of galaxies around each lens-the projected number density of galaxies inside the tenth nearest neighbor ({sigma}{sub 10}) and within a cone of radius one h{sup -1} Mpc (D {sub 1}). Our main results are as follows. (1) The average overdensity is somewhat larger than unity, consistent with lenses preferring overdense environments as expected for massive early-type galaxies (12/70 lenses are in known groups/clusters). (2) The distribution of overdensities is indistinguishable from that of 'twin' nonlens galaxies selected from SDSS to have the same redshift and stellar velocity dispersion {sigma}{sub *}. Thus, within our errors, lens galaxies are an unbiased population, and the SLACS results can be generalized to the overall population of early-type galaxies. (3) Typical contributions from external mass distribution are no more than a few percent in local mass density, reaching 10-20% ({approx}0.05-0.10 external convergence) only in the most extreme overdensities. (4) No significant correlation between overdensity and slope of the mass-density profile of the lens galaxies is found. (5) Satellite galaxies (those with a more luminous companion) have marginally steeper mass-density profiles (as quantified by f {sub SIE} = {sigma}{sub *}/{sigma}{sub SIE} = 1.12 {+-} 0.05 versus 1.01 {+-} 0.01) and smaller dynamically normalized mass enclosed within the Einstein radius ({delta}log M {sub Ein}/M {sub dim} differs by -0.09 {+-} 0.03 dex) than central galaxies (those without). This result suggests that tidal stripping may affect the mass structure of early-type galaxies down to kpc scales probed by strong lensing, when they fall into larger structures.

Treu, Tommaso; Gavazzi, Raphael; Gorecki, Alexia; Marshall, Philip J. [Department of Physics, University of California, Santa Barbara, CA 93106 (United States); Koopmans, Leon V. E. [Kapteyn Institute, P.O. Box 800, 9700AV Groningen (Netherlands); Bolton, Adam S. [Institute for Astronomy, University of Hawai'i, 2680 Woodlawn Dr., Honolulu, HI 96822 (United States); Moustakas, Leonidas A. [Jet Propulsion Laboratory, 4800 Oak Grove Dr, Caltech, MS169-327, Pasadena, CA 91109 (United States); Burles, Scott [Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139 (United States)], E-mail: tt@physics.ucsb.edu, E-mail: pjm@physics.ucsb.edu, E-mail: gavazzi@iap.fr, E-mail: koopmans@astro.rug.nl, E-mail: bolton@ifa.hawaii.edu, E-mail: leonidas@jpl.nasa.gov, E-mail: burles@mit.edu

2009-01-01T23:59:59.000Z

388

Functional Characterization of an Epidermal Growth Factor Receptor/RET Chimera*  

E-Print Network [OSTI]

Functional Characterization of an Epidermal Growth Factor Receptor/RET Chimera* (Received binding sites for 125 I-EGF, the EGFR/RET chimera exhibited only low affinity binding of 125 I-EGF. The chimera was able to internalize EGF more rapidly than the wild type EGF receptor and recycled to the cell

Pike, Linda J.

389

Factorization of Darboux transformations of arbitrary order for 2D Schroedinger operators  

E-Print Network [OSTI]

We give a proof of Darboux's conjecture that every Darboux transformation of arbitrary order of a 2D Schroedinger type operator can be factorized into Darboux transformations of order one. The proof is constructive. The result was achieved in the framework of an algebraic approach to Darboux transformations which is put forward in this paper.

Ekaterina Shemyakova

2014-02-24T23:59:59.000Z

390

Type Inferencing and MATLAB to Modelica Translation.  

E-Print Network [OSTI]

?? Matlab is a proprietary, interactive, dynamically-typed language for technical computing. It is widely used for prototyping algorithms and applications of scientific computations. Since it… (more)

Mohammad, Jahanzeb

2014-01-01T23:59:59.000Z

391

Type B Accident Investigation, Subcontractor Employee Personal...  

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

ignited the right leg of his 100% cotton anticontamination (anti-c) coveralls and the plastic bootie. Type B Accident Investigation, Subcontractor Employee Personal Protective...

392

Playing games with EPR-type experiments  

E-Print Network [OSTI]

An approach towards quantum games is proposed that uses the unusual probabilities involved in EPR-type experiments directly in two-player games.

Azhar Iqbal

2005-07-17T23:59:59.000Z

393

Turbulent Combustion in Type Ia Supernova Models  

E-Print Network [OSTI]

We review the astrophysical modeling of type Ia supernova explosions and describe numerical methods to implement numerical simulations of these events. Some results of such simulations are discussed.

F. K. Roepke; W. Hillebrandt

2006-09-15T23:59:59.000Z

394

Convolution type operators on locally compact groups  

E-Print Network [OSTI]

Shtein--~erg, Convolution Type Operators on Locally Compact Groups [in Russian],. Manuscript Deposited in the All-Union Institute of Scientific and Technical ...

395

Factor Analysis for Skewed Data and Skew-Normal Maximum Likelihood Factor Analysis  

E-Print Network [OSTI]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.7.1 The Factor Analysis Model . . . . . . . . . . . . . . . . . 28 v 2.8 Model Selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.8.1 The Akaike Information Criterion . . . . . . . . . . . . . . 30 2.8.2 The Bayesian... Information Criterion . . . . . . . . . . . . . 31 2.9 Factor Scores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 2.10 Non-uniqueness of Factor Loadings . . . . . . . . . . . . . . . . . . 32 2.10.1 The Rotation of Factor Loadings...

Gaucher, Beverly Jane

2013-04-04T23:59:59.000Z

396

Waste-to-energy in the United States: Socioeconomic factors and the decision-making process  

SciTech Connect (OSTI)

Municipal solid waste (MSW) combustion with energy recovery, commonly called waste-to-energy (WTE), was adopted by many US communities during the 1980s to manage their growing quantities of MSW. Although less than one percent of all US MSW was burned to retrieve its heat energy in 1970, WTE grew to account for 16 percent of MSW in 1990, and many experts forecasted that WTE would be used to manage as much as half of all garbage by the turn of the century. However, the growth of WTE has been reduced in recent years by project cancellations. This study takes an in-depth look at the socioeconomic factors that have played a role in the decisions of communities that have considered WTE as a component of their solid waste management strategies. More specifically, a three-pronged approach is adopted to investigate (1) the relationships between a municipality`s decision to consider and accept/reject WTE and key socioeconomic parameters, (2) the potential impacts of recent changes in financial markets on the viability of WTE, and (3) the WTE decision-making process and the socioeconomic parameters that are most important in the municipality`s decision. The first two objectives are met by the collection and analysis of aggregate data on all US WTE initiatives during the 1982 to 1990 time frame. The latter objective is met by way of four in-depth case studies -- two directed at communities that have accepted WTE and two that have cancelled WTE projects.

Curlee, T.R.; Schexnayder, S.M.; Vogt, D.P.; Wolfe, A.K.; Kelsay, M.P.; Feldman, D.L. [Oak Ridge National Lab., TN (United States)

1993-10-01T23:59:59.000Z

397

RESEARCH ARTICLE Forty percent revenue increase by combining organic  

E-Print Network [OSTI]

Uganda. Cabbage was grown on eight replicate farms in close association with a farmer field school-Saharan Africa indicate the need for effective strategies to restore soils, while improving smallholder incomes an eco- nomic perspective and none have explored its potential in intensively managed, market vegetable

Paris-Sud XI, Université de

398

Moab Reaches 40-Percent Mark in Tailings Removal  

Broader source: Energy.gov [DOE]

MOAB, Utah – The Moab Uranium Mill Tailings Remedial Action Project had a productive year, despite continued budget constraints and a first-ever, three-month curtailment of shipping operations last winter.

399

Ways to Increase Percent Calf Crop in Beef Cattle.  

E-Print Network [OSTI]

Management of First Calf Heifers I A. Provide extra feed for growth. . - 705 35 40 702 29 34 B. Feedtoobtain?hto%pounddaily 750 34 24 gain during the breeding season. 22 14 C. Breed for 80 days, palpate for preg- i INCREASING REPRODUCTIVE PERFORMANCE...

Beverly, John R.

1973-01-01T23:59:59.000Z

400

BOSS Measures the Universe to One-Percent Accuracy  

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

part of the mix. By 380,000 years after the big bang, however, the temperature of the expanding mixture had cooled enough for light to escape, suffusing the newly transparent...

Note: This page contains sample records for the topic "factor percent type" 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

August and September Approximately 29 percent from husks  

E-Print Network [OSTI]

-style: Select ears with plump, tender kernels and thin, sweet milk. If the milk is thick and starchy minutes. Cool promptly in several changes of cold water and drain. Whole-kernel corn: Cut kernels from ll minutes (over IVz inches in diameter) Cool thoroughly in several changes of cold water (cool

402

pproximately 80 percent of the rise in carbon dioxide  

E-Print Network [OSTI]

curtailing coal usage in the near term, since large- scale deployment of truly "clean" coal plants with near current level is due to the worldwide burning of fossil fuels (coal, oil and natural gas). The remain- ing. Constraints on conventional oil, natural gas and coal supplies will play an important role in determining

403

Federal Government Increases Renewable Energy Use Over 1000 Percent...  

Office of Environmental Management (EM)

to power 225,000 homes or a city the size of El Paso, Texas, for a year. "Particularly in light of tight oil and gas supplies caused by Hurricanes Katrina and Rita, it is important...

404

West Virginia Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion CubicCubic39,287Sales (BillionDecade

405

West Virginia Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion CubicCubic39,287Sales (BillionDecadeYear

406

Wisconsin Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion2008 2009 2010from2009 2010 2011 201251

407

Wisconsin Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion2008 2009 2010from2009 2010 2011 201251Year

408

Wyoming Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion2008Sep-14 Oct-14 Nov-14 Dec-14

409

Wyoming Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion2008Sep-14 Oct-14 Nov-14 Dec-14Year Jan Feb

410

New Hampshire Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYear Jan Feb Mar AprDecade Year-0

411

New Hampshire Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYear Jan Feb Mar AprDecade

412

New Jersey Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYearDecade

413

New Jersey Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYearDecadeYear Jan Feb Mar Apr May

414

New Mexico Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear JanDecadeExtensions41 1,039Decade Year-0

415

New Mexico Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear JanDecadeExtensions41 1,039Decade

416

New York Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYearDecadeYear JanDecreases264 21 327

417

New York Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYearDecadeYear JanDecreases264 21 327Year Jan

418

North Carolina Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0 Year-18 2.415 - - -Cubic8Decade Year-0

419

North Carolina Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0 Year-18 2.415 - - -Cubic8Decade

420

North Dakota Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0 Year-18Feet) New123Decade Year-0

Note: This page contains sample records for the topic "factor percent type" 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

North Dakota Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0 Year-18Feet) New123Decade

422

Ohio Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade Year-0YearSales (Billion CubicDecade

423

Ohio Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade Year-0YearSales (Billion CubicDecadeYear

424

Oklahoma Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade (MillionThousandFeet)44

425

Oklahoma Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade (MillionThousandFeet)44Year Jan Feb

426

Oregon Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecadeFeet)Decade Year-0313,210Year-222

427

Oregon Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecadeFeet)Decade Year-0313,210Year-222Year

428

Pennsylvania Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)Decade Year-0Sales (Billion CubicDecade Year-0 Year-1

429

Pennsylvania Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)Decade Year-0Sales (Billion CubicDecade Year-0

430

Percent of Commercial Natural Gas Deliveries in California Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr May Junthe Price

431

Percent of Commercial Natural Gas Deliveries in Connecticut Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr May Junthe PricePricethe

432

Percent of Commercial Natural Gas Deliveries in District of Columbia  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr May Junthe

433

Percent of Commercial Natural Gas Deliveries in Louisiana Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr MayPricethe Price

434

Percent of Commercial Natural Gas Deliveries in Massachusetts Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr MayPricethe PricePricePriceby

435

Percent of Commercial Natural Gas Deliveries in Minnesota Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr MayPricethethe Price

436

Percent of Commercial Natural Gas Deliveries in Mississippi Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr MayPricethethe Pricethe Price

437

Percent of Commercial Natural Gas Deliveries in New Hampshire Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr MayPricethethePriceby the

438

Percent of Commercial Natural Gas Deliveries in North Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar Apr MayPricethethePricebyPriceby

439

Percent of Commercial Natural Gas Deliveries in South Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar AprPrice

440

Percent of Commercial Natural Gas Deliveries in Tennessee Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar AprPricethe Price

Note: This page contains sample records for the topic "factor percent type" 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

Percent of Commercial Natural Gas Deliveries in Washington Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar AprPricethethe Price

442

Percent of Commercial Natural Gas Deliveries in West Virginia Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar AprPricethethe Priceby the Price

443

Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar AprPricethethe Priceby the

444

Percent of Industrial Natural Gas Deliveries in California Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar AprPricethethePricePricePricethe

445

Percent of Industrial Natural Gas Deliveries in California Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb Mar

446

Percent of Industrial Natural Gas Deliveries in District of Columbia  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb MarPrice

447

Percent of Industrial Natural Gas Deliveries in District of Columbia  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan Feb MarPriceRepresented by the Price

448

Percent of Industrial Natural Gas Deliveries in North Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePrice

449

Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby thePrice

450

Percent of Industrial Natural Gas Deliveries in South Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby thePricethe Pricetheby

451

Percent of Industrial Natural Gas Deliveries in South Carolina Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby thePricethe Pricethebyby

452

Percent of Industrial Natural Gas Deliveries in Tennessee Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby thePricethethe Pricethe

453

Percent of Industrial Natural Gas Deliveries in Tennessee Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePriceby thePricethethe

454

Percent of Industrial Natural Gas Deliveries in Washington Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPricePrice

455

Percent of Industrial Natural Gas Deliveries in Washington Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPricePricethe Price

456

Percent of Industrial Natural Gas Deliveries in West Virginia Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPricePricethe Priceby the

457

Percent of Industrial Natural Gas Deliveries in West Virginia Represented  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPricePricethe Priceby

458

Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPricePricethe Pricebythe

459

Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)DecadeYear Jan FebPricePricebyPricePricethe

460

Utah Natural Gas % of Total Residential Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear Jan MonthlyProduction% of Total Residential

Note: This page contains sample records for the topic "factor percent type" 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

Vermont Natural Gas % of Total Residential Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear JanWellhead PriceDay) Process:Foot)

462

Virginia Natural Gas % of Total Residential Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear JanWellheadProved ReservesFoot)% of

463

Washington Natural Gas % of Total Residential Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYearFeet) Year Jan Feb% of Total Residential

464

West Virginia Natural Gas % of Total Residential Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYearFeet) Year JanProvedDecade Year-0Cubic%

465

Wisconsin Natural Gas % of Total Residential Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYearFeet)perWestern StatesCubic% of Total

466

Wyoming Natural Gas % of Total Residential Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas,Foot)% of

467

Alabama Natural Gas % of Total Electric Utility Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) Base Gas)1,727 1,342Increases4 16 18 19

468

Alabama Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) Base Gas)1,727 1,342Increases4 16 18

469

Alabama Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) Base Gas)1,727 1,342Increases4 16 18Year Jan

470

Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) Base Gas)1,727 1,342Increases4 16 18Year

471

Alabama Natural Gas Percentage Total Commercial Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) Base Gas)1,727Feet) Year

472

Alabama Natural Gas Percentage Total Industrial Deliveries (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) Base Gas)1,727Feet) YearIndustrial

473

Alaska Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) BaseSep-14Extensions (Billion2009Decade

474

Alaska Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) BaseSep-14Extensions (Billion2009DecadeYear

475

Arizona Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet)Year Jan FebForeignDecade Year-0 Year-1

476

Arizona Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet)Year Jan FebForeignDecade Year-0 Year-1Year

477

Arkansas Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet)Year Jan(MillionSales (Billion

478

Arkansas Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet)Year Jan(MillionSales (BillionYear Jan Feb

479

South Carolina Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,741 476,85520 40 60 80Storage

480

South Carolina Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,741 476,85520 40 60

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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481

South Dakota Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,7416.18 5.69per ThousandStorage

482

South Dakota Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,7416.18 5.69per

483

Tennessee Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2 10,037.24. U.S.Year Jan Feb

484

Tennessee Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2 10,037.24. U.S.Year Jan FebYear Jan Feb

485

Texas Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2perSep-14 Oct-14 Nov-14 Dec-14

486

Texas Natural Gas % of Total Residential - Sales (Percent)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2perSep-14 Oct-14 Nov-14 Dec-14Year Jan

487

Iowa Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0 0 0Year Jan Feb3,151,8872009

488

Iowa Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0 0 0Year Jan Feb3,151,8872009Year Jan

489

Kansas Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0 0Extensions (Billion2009 20106 5 7 7

490

Kansas Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0 0Extensions (Billion2009 20106 5 7

491

Kentucky Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0MonthIncreases (Billion Cubic20094 4

492

Kentucky Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0MonthIncreases (Billion Cubic20094

493

Louisiana Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342 3289 0 0 0 0Feet)2009

494

Louisiana Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342 3289 0 0 0 0Feet)2009Year Jan

495

Maine Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-14 Oct-14 Nov-14 Dec-140

496

Maine Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-14 Oct-14 Nov-14 Dec-140Year

497

Maryland Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0Sep-14

498

Maryland Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0Sep-14Year Jan Feb

499

Massachusetts Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343Decade81 170 115 89Sep-14 Oct-14Decade

500

Massachusetts Natural Gas % of Total Residential - Sales (Percent)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343Decade81 170 115 89Sep-14