Search Information and Data Across the DOE Complex
Note: This page contains sample records for the topic "method location total" 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.

1

E-Print Network [OSTI]

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

Delp, Scott

2

Science Journals Connector (OSTI)

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

2012-01-01T23:59:59.000Z

3

Science Journals Connector (OSTI)

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

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

2006-01-01T23:59:59.000Z

4

Science Journals Connector (OSTI)

In this paper, we continue the study of locating-total domination in graphs. A set S of vertices of a graph G is a total dominating set of G if every vertex of G is adjacent to a vertex in S . We consider total dominating sets S which have the additional property that distinct vertices in V ( G ) ? S are totally dominated by distinct subsets of the total dominating set. Such a set S is called a locating-total dominating set in G , and the locating-total domination number of G is the minimum cardinality of a locating-total dominating set in G . A claw-free graph is a graph that does not contain K 1 , 3 as an induced subgraph. We show that the locating-total domination number of a claw-free cubic graph is at most one-half its order and we characterize the graphs achieving this bound.

Michael A. Henning; Christian Löwenstein

2012-01-01T23:59:59.000Z

5

Science Journals Connector (OSTI)

In this paper, we continue the study of locating-total domination in graphs, introduced by Haynes et al. [T.W. Haynes, M.A. Henning, J. Howard, Locating and total dominating sets in trees, Discrete Applied Mathematics 154 (8) (2006) 1293–1300]. A total dominating set S in a graph G = ( V , E ) is a locating-total dominating set of G if, for every pair of distinct vertices u and v in V ? S , N G ( u ) ? S ? N G ( v ) ? S . The minimum cardinality of a locating-total dominating set is the locating-total domination number ? t L ( G ) . We show that, for a tree T of order n ? 3 with l leaves and s support vertices, n + l + 1 2 ? s ? ? t L ( T ) ? n + l 2 . Moreover, we constructively characterize the extremal trees achieving these bounds.

Xue-gang Chen; Moo Young Sohn

2011-01-01T23:59:59.000Z

6

Science Journals Connector (OSTI)

... systems are well known, and the exact location can be determined when the line or substation is afterwards inspected. Thus power supply system statistics provide reliable evidence of the location ...

1943-03-06T23:59:59.000Z

7

E-Print Network [OSTI]

Shooting Methods for Locating Grazing Phenomena in Hybrid Systems Vaibhav Donde Ian A. Hiskens Abstract Hybrid systems are typified by strong coupling between continuous dynamics and discrete events using shooting methods that are applicable for general nonlinear hybrid (piecewise smooth) dynamical

8

SciTech Connect (OSTI)

A new approach to nondestructively characterize waste for disposal, based on total gamma response, has been developed at the Idaho Cleanup Project by CH2M-WG Idaho, LLC and Idaho State University, and is called the total gamma count rate analysis method. The total gamma count rate analysis method measures gamma interactions that produce energetic electrons or positrons in a detector. Based on previous experience with waste assays, the radionuclide content of the waste container is then determined. This approach potentially can yield minimum detection limits of less than 10 nCi/g. The importance of this method is twofold. First, determination of transuranic activity can be made for waste containers that are below the traditional minimum detection limits. Second, waste above 10 nCi/g and below 100 nCi/g can be identified, and a potential path for disposal resolved.

Cecilia R. Hoffman; Yale D. Harker

2006-03-01T23:59:59.000Z

9

DOE Patents [OSTI]

A system and method is disclosed for optically locating a microchannel position. A laser source generates a primary laser beam which is directed at a microchannel plate. The microchannel plates include microchannels at various locations. A back-reflectance beam detector receives a back-reflected beam from the plate. The back-reflected beam is generated when the primary beam reflects off of the plate. A photodiode circuit generates a trigger signal when the back-reflected beam exceeds a predetermined threshold, indicating a presence of the microchannel. The method of the present invention includes the steps of generating a primary beam, directing the primary beam to a plate containing a microchannel, receiving from the plate a back-reflected beam generated in response to the primary beam, and generating a trigger signal when the back-reflected beam exceeds a predetermined threshold which corresponds to a presence of the microchannel.

Brewer, Laurence R. (Oakland, CA); Kimbrough, Joseph (Pleasanton, CA); Balch, Joseph (Livermore, CA); Davidson, J. Courtney (Livermore, CA)

2001-01-01T23:59:59.000Z

10

SciTech Connect (OSTI)

''Total System Performance Assessment-License Application (TSPA-LA) Methods and Approach'' provides the top-level method and approach for conducting the TSPA-LA model development and analyses. The method and approach is responsive to the criteria set forth in Total System Performance Assessment Integration (TSPAI) Key Technical Issues (KTIs) identified in agreements with the U.S. Nuclear Regulatory Commission, the ''Yucca Mountain Review Plan'' (YMRP), ''Final Report'' (NRC 2003 [163274]), and the NRC final rule 10 CFR Part 63 (NRC 2002 [156605]). This introductory section provides an overview of the TSPA-LA, the projected TSPA-LA documentation structure, and the goals of the document. It also provides a brief discussion of the regulatory framework, the approach to risk management of the development and analysis of the model, and the overall organization of the document. The section closes with some important conventions that are used in this document.

J. McNeish

2003-12-08T23:59:59.000Z

11

Gasoline and Diesel Fuel Update (EIA)

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

12

Gasoline and Diesel Fuel Update (EIA)

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

13

Gasoline and Diesel Fuel Update (EIA)

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

14

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

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

15

Gasoline and Diesel Fuel Update (EIA)

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

16

E-Print Network [OSTI]

Waterstaat Delft University of Technology (DUT) Department of Earth Observation and Space Systems Acoustic Meteorologisch Instituut (KNMI) and three additional arrays located in Germany and France. The estimated source for a spherical earth. Extensive filtering is applied to clean the data from as much noise and signals from local

Evers, LĂ¤slo G.

17

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

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

18

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

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

19

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

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

20

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

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

Note: This page contains sample records for the topic "method location total" 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

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

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

22

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

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

23

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

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

24

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

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

25

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

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

26

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

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

27

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

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

28

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

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

29

Science Journals Connector (OSTI)

......demonstrate BAYHLoc using the set of Nevada Test Site nuclear explosions, for which...location|multiple-event|Nevada Test Site|seismic|stochastic| INTRODUCTION...The Walter (2004) data set of Nevada Test Site (NTS) explosions (Fig. 2a......

Stephen C. Myers; Gardar Johannesson; William Hanley

2007-12-01T23:59:59.000Z

30

DOE Patents [OSTI]

An X-ray beam finder for locating a focal spot of an X-ray tube includes a mass of X-ray opaque material having first and second axially-aligned, parallel-opposed faces connected by a plurality of substantially identical parallel holes perpendicular to the faces and a film holder for holding X-ray sensitive film tightly against one face while the other face is placed in contact with the window of an X-ray head.

Gilbert, Hubert W. (Cedar Crest, NM)

1985-07-30T23:59:59.000Z

31

E-Print Network [OSTI]

A standard approach, as first suggested in [28], is to regularize the BV seminorm and ..... The result applied to our (finite-dimensional) problem gives the following: if 0 .... We did a series of experiments (a) to measure the ..... sets in the plane by the minimizing total variation flow, Interfaces Free Bound., 7 (2005), pp. 29–53.

2010-09-17T23:59:59.000Z

32

DOE Patents [OSTI]

A geophysics-based method for determining the position of a stationary earth object uses the periodic changes in the gravity vector of the earth caused by the sun- and moon-orbits. Because the local gravity field is highly irregular over a global scale, a model of local tidal accelerations can be compared to actual accelerometer measurements to determine the latitude and longitude of the stationary object.

Daily, Michael R. (Albuquerque, NM); Rohde, Steven B. (Corrales, NM); Novak, James L. (Albuquerque, NM)

2008-05-20T23:59:59.000Z

33

E-Print Network [OSTI]

Loading Maint/Service State Vehicle Motorcycle Control* S / L** P / T / LD*** Location Total Alumni House = Surface Lot *** P = Permanent, T = Temporary, LD = Leased Structure 5,631 Motorcycle space count is not included in "Total Spaces" count and is an es mate of how many motorcycles can park in each area Surface

de Lijser, Peter

34

DOE Patents [OSTI]

A method and apparatus is utilized to determine the bearing and/or location of sources, such as, alternating current (A.C.) generators and loads, power lines, transformers and/or radio-frequency (RF) transmitters, emitting electromagnetic-wave energy for which a Poynting-Vector can be defined. When both a source and field sensors (electric and magnetic) are static, a bearing to the electromagnetic source can be obtained. If a single set of electric (E) and magnetic (B) sensors are in motion, multiple measurements permit location of the source. The method can be extended to networks of sensors allowing determination of the location of both stationary and moving sources.

Simons, David J. (Modesto, CA); Carrigan, Charles R. (Tracy, CA); Harben, Philip E. (Livermore, CA); Kirkendall, Barry A. (Golden, CO); Schultz, Craig A. (Danville, CA)

2008-10-21T23:59:59.000Z

35

E-Print Network [OSTI]

in a wide range of radiation environment, with increasing total dose radiation, The efticieney also greatlyMethod to Improve Total Dose Radiation Hardness in a CMOS dc-dc Boost Converter Huadian Pan to natural radiation in space. Among the effects of ionizing radiation are shiftsin threshold voltageand

Wilamowski, Bogdan Maciej

36

DOE Patents [OSTI]

Methods for manufacturing high precision arrays of curved features (e.g. lenses) in the surface of a workpiece are described utilizing orthogonal sets of inter-fitting locating grooves to mate a workpiece to a workpiece holder mounted to the spindle face of a rotating machine tool. The matching inter-fitting groove sets in the workpiece and the chuck allow precisely and non-kinematically indexing the workpiece to locations defined in two orthogonal directions perpendicular to the turning axis of the machine tool. At each location on the workpiece a curved feature can then be on-center machined to create arrays of curved features on the workpiece. The averaging effect of the corresponding sets of inter-fitting grooves provide for precise repeatability in determining, the relative locations of the centers of each of the curved features in an array of curved features.

Gill, David Dennis (Albuquerque, NM); Keeler, Gordon A. (Albuquerque, NM); Serkland, Darwin K. (Albuquerque, NM); Mukherjee, Sayan D. (Albuquerque, NM)

2008-10-14T23:59:59.000Z

37

Science Journals Connector (OSTI)

Evaluation and selection of power substation location is an important strategic decision making problem for both public and private sector. The multi-dimensional, multi-criteria nature of the power substation location problem limits the usefulness of any particular single objective model. Studies have shown that electromagnetic radiations emanating from the high voltage lines and substations, pose serious adverse health consequences to living beings. In this study, social, technological, economical, environmental and site characteristics factors and sub criteria, have been derived to make the optimal power substation location selection decision more realistic and effectual. In this paper, an improved and more appropriate power substation location evaluation and selection model has been developed by integrating Modified Delphi method with Fuzzy Analytic Hierarchy Process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results.

Golam Kabir; M. Ahsan Akhtar Hasin

2013-01-01T23:59:59.000Z

38

DOE Patents [OSTI]

A method for tracking the movement and position of mobile agents using light detection and ranging (LIDAR) as a stand-off optical detection technique. The positions of the agents are tracked by analyzing the time-history of a series of optical measurements made over the field of view of the optical system. This provides a (time+3-D) or (time+2-D) mapping of the location of the mobile agents. Repeated pulses of a laser beam impinge on a mobile agent, such as a bee, and are backscattered from the agent into a LIDAR detection system. Alternatively, the incident laser pulses excite fluorescence or phosphorescence from the agent, which is detected using a LIDAR system. Analysis of the spatial location of signals from the agents produced by repeated pulses generates a multidimensional map of agent location.

Schmitt, Randal L. (Tijeras, NM); Bender, Susan Fae Ann (Tijeras, NM); Rodacy, Philip J. (Albuquerque, NM); Hargis, Jr., Philip J. (Albuquerque, NM); Johnson, Mark S. (Albuquerque, NM)

2006-12-26T23:59:59.000Z

39

Science Journals Connector (OSTI)

Electromagnetic radiations emanating from the high voltage lines and substations pose serious adverse health consequences to living beings. As a result, evaluation and selection of power substation location is an important strategic decision making problem for both public and private sector. In this paper, fuzzy analytic hierarchy process (FAHP) has been integrated with technique for order preference by similarity to an ideal solution (TOPSIS) method to develop an improved and more appropriate power substation location evaluation and selection model considering social, technological, economical, environmental and site characteristics factors and sub criteria. The proposed decision-making approach takes advantage of the synergy between these two well-known multi-criteria analysis (MCA) methods. A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results.

Golam Kabir; M. Ahsan Akhtar Hasin

2013-01-01T23:59:59.000Z

40

DOE Patents [OSTI]

A method for assigning a confidence metric for automated determination of optic disc location that includes analyzing a retinal image and determining at least two sets of coordinates locating an optic disc in the retinal image. The sets of coordinates can be determined using first and second image analysis techniques that are different from one another. An accuracy parameter can be calculated and compared to a primary risk cut-off value. A high confidence level can be assigned to the retinal image if the accuracy parameter is less than the primary risk cut-off value and a low confidence level can be assigned to the retinal image if the accuracy parameter is greater than the primary risk cut-off value. The primary risk cut-off value being selected to represent an acceptable risk of misdiagnosis of a disease having retinal manifestations by the automated technique.

Karnowski, Thomas P. (Knoxville, TN); Tobin, Jr., Kenneth W. (Harriman, TN); Muthusamy Govindasamy, Vijaya Priya (Knoxville, TN); Chaum, Edward (Memphis, TN)

2012-07-10T23:59:59.000Z

Note: This page contains sample records for the topic "method location total" 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

Science Journals Connector (OSTI)

Search for transition structures (TSs) as first-order saddles is one of the most important tasks in theoretical study of chemical reaction. Although automated search has been established either by starting from a local minimum (MIN) or by connecting two MINs there is no systematic method which can locate TSs of A + B ? X ( + Y ) type reactions starting from separated reactants. We propose such an approach for the first time; it was demonstrated to work very well in the SN2 Diels–Alder and Wittig reactions.

Satoshi Maeda; Keiji Morokuma

2010-01-01T23:59:59.000Z

42

DOE Patents [OSTI]

The disclosure is directed to an apparatus and method for maintaining a body at cryogenic temperatures at a remote location such as down a borehole for an extended period of time. A housing contains a body comprising a material having a high specific heat at cryogenic temperatures such as between about 2 and 15 K. The body contains an orifice for containing an instrument or instruments operable at superconducting temperatures. The apparatus is precooled at the surface and lowered into a borehole to a desired depth, such as 2 to 3 miles. The instruments are operated, and the apparatus withdrawn, the material of the body maintaining the very low temperatures at which the instrument(s) operate for a sufficient period of time at the remote or downhole location. The material may comprise a rare earth compound, such as Gd/sub 2/O/sub 3/, Gd/sub 2/Se/sub 3/, Gd/sub 2/O/sub 2/S or GdAlO/sub 3/. Monoclinic and C-phase gadolinium oxides work well. A low temperature is maintainable at a remote location for several hours.

Steyert, W.A. Jr.; Overton, W.C. Jr.

1980-10-29T23:59:59.000Z

43

DOE Patents [OSTI]

The disclosure is directed to an apparatus and method for maintaining a body at cryogenic temperatures at a remote location such as down a borehole for an extended period of time. A housing contains a body comprising a material having a high specific heat at cryogenic temperatures such as between about 2 and 15 K. The body contains an orifice for containing an instrument or instruments operable at superconducting temperatures. The apparatus is precooled at the surface and lowered into a borehole to a desired depth, such as 2 to 3 miles. The instruments are operated, and the apparatus withdrawn, the material of the body maintaining the very low temperatures at which the instrument(s) operate for a sufficient period of time at the remote or downhole location. The material may comprise a rare earth compound, such as Gd.sub.2 O.sub.3, Gd.sub.2 Se.sub.3, Gd.sub.2 O.sub.2 S or GdAlO.sub.3. Monoclinic and C-phase gadolinium oxides work well. A low temperature is maintainable at a remote location for several hours.

Steyert, Jr., William A. (Los Alamos, NM); Overton, Jr., William C. (Los Alamos, NM)

1982-01-01T23:59:59.000Z

44

SciTech Connect (OSTI)

Purpose: To determine interfractional reproducibility of the location of lung tumors using respiratory motion mitigation. Methods and Materials: Free-breathing four-dimensional computed tomography (CT) data sets and CT data sets during breath hold were acquired weekly for 17 patients undergoing treatment for non-small-cell lung cancer. Distances between the center of the gross tumor volume (GTV) and a reproducible bony reference point under conditions of breath hold on end inspiration (EI) and end expiration (EE) and during free breathing on the 0% phase (corresponding to EI) and 50% phase (corresponding to EE) were analyzed for interfractional reproducibility. Systematic uncertainties in tumor location were determined as the difference in distance between the GTV center on the first CT data set and the mean location of GTV centers on the subsequent data sets. Random uncertainties in tumor location were determined as the standard deviation of the distances between the GTV centers and the bony reference points. Margins to account for systematic and random interfractional variations were estimated based on these uncertainties. Results: Mean values of interfractional setup uncertainties were as follows: systematic uncertainties-EI, 0.3 cm; EE, 0.2 cm; 0% phase, 0.3 cm; and 50% phase, 0.3 cm; and random uncertainties-EI, 0.3 cm; EE, 0.3 cm; 0% phase, 0.3 cm; and 50% phase, 0.3 cm. There does not appear to be any correlation between uncertainties and GTV size, but there appears to be a weak positive correlation between uncertainties and the magnitude of GTV excursion. Conclusions: Voluntary breath hold and gating on either EI or EE appear to be equally reliable methods of ensuring the reproducibility of lung tumor position. We recommend setup margins of 0.3 cm if using cone-beam CT or kilovoltage X-ray with fiducials and aligning directly to the tumor and 0.8 cm when aligning to a nearby bony surrogate using cone-beam CT or kilovoltage X-ray.

Starkschall, George, E-mail: gstarksc@mdanderson.or [Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, TX (United States); Balter, Peter [Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, TX (United States); Britton, Keith [Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, TX (United States); Department of Radiation Oncology, University of Texas M. D. Anderson Cancer Center, Houston, TX (United States); McAleer, Mary F.; Cox, James D. [Department of Radiation Oncology, University of Texas M. D. Anderson Cancer Center, Houston, TX (United States); Mohan, Radhe [Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, TX (United States)

2011-02-01T23:59:59.000Z

45

E-Print Network [OSTI]

95-35 Methods applied to investigate the major Ă?VCE that occured in the TOTAL refinery's Fluid.V.C.E, occured in the Gas Plant of the TOTAL refinery's Fluid Catalytic Cracking ĂĽnit at La Mede, France sources: control room hard copy and electronically stored records: no deviation of process operating

46

E-Print Network [OSTI]

This prospective study compared three methods of postoperative pain control in dogs undergoing total ear canal ablation with lateral bulla osteotomy. The hypothesis was that systemic opioids in conjunction with preoperative local nerve blocks would...

Buback, Janice Lynelle

2012-06-07T23:59:59.000Z

47

SciTech Connect (OSTI)

Detection and location of failed fuel in a liquid-metal fast breeder reactor (LMFBR) are very important both for safety and availability. When a fuel failure is detected, it is desirable to identify the failed subassembly quickly to reduce plant shutdown time. The flux tilting method is expected to effectively identify the defective subassembly. The feasibility of the flux tilting method is investigated for an LMFBR with a 100-MW (electric) homogeneous core. A numerical simulation is performed to estimate the viability of the flux tilting method, and a combination of the flux tilting method and the sipping method is found to be very effective in identifying the failed subassembly. In this paper a functional scheme for a computer-aided failed fuel detection and location system is discussed as part of a future on-line support system.

Hamada, M.; Uehara, K.; Muramatsu, K. (Japan Atomic Power Co., 1-6-1 Otemachi, Chiyoda-ku, Tokyo 100 (JP)); Kamei, T.; Tamaoki, T.; Yamaoka, M.; Sonada, Y.; Sano, Y. (Toshiba Corp., Nuclear Engineering Lab., 4-1 Ukishima-cho, Kawasaki-ku, Kawasaki 210 (JP))

1992-04-01T23:59:59.000Z

48

SciTech Connect (OSTI)

JG DOUGLAS; HK MEZNARICH, PHD; JR OLSEN; GA ROSS PHD; M STAUFFER

2009-02-13T23:59:59.000Z

49

SciTech Connect (OSTI)

DOUGLAS JG; MEZNARICH HD, PHD; OLSEN JR; ROSS GA; STAUFFER M

2008-09-30T23:59:59.000Z

50

Science Journals Connector (OSTI)

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

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

51

E-Print Network [OSTI]

standard approach, as first suggested in [28], is to regularize the BV seminorm and consider ..... The result applied to our (finite-dimensional) problem gives the following: if .... We did a series of experiments (a) to measure the effectiveness ..... plane by the minimizing total variation flow, Interfaces Free Bound., 7 (2005), pp.

2011-03-17T23:59:59.000Z

52

Science Journals Connector (OSTI)

An efficient method for calculating the electronic structure in large systems with a fully converged Brillouin zone sampling is presented. The method is based on a k?p-like approximation developed in the framework of the density-functional perturbation theory. The reliability and efficiency of the method are demonstrated in test calculations on Ar and Si supercells.

Marcella Iannuzzi and Michele Parrinello

2001-11-15T23:59:59.000Z

53

E-Print Network [OSTI]

The manuscript addresses the problem of finding all solutions of power flow equations or other similar nonlinear system of algebraic equations. This problem arises naturally in a number of power systems contexts, most importantly in the context of direct methods for transient stability analysis and voltage stability assessment. We introduce a novel form of homotopy continuation method called the numerical polynomial homotopy continuation (NPHC) method that is mathematically guaranteed to find all the solutions without ever encountering a bifurcation. The method is based on embedding the real form of power flow equation in complex space, and tracking the generally unphysical solutions with complex values of real and imaginary parts of the voltage. The solutions converge to physical real form in the end of the homotopy. The so-called $\\gamma$-trick mathematically rigorously ensures that all the paths are well-behaved along the paths, so unlike other continuation approaches, no special handling of bifurcations is necessary. The method is \\textit{embarrassingly parallelizable} and can be applied to reasonably large sized systems. We demonstrate the technique by analysis of several standard test cases up to the 14-bus system size. Finally, we discuss possible strategies for scaling the method to large size systems, and propose several applications for transient stability analysis and voltage stability assessment.

Dhagash Mehta; Hung Nguyen; Konstantin Turitsyn

2014-08-12T23:59:59.000Z

54

E-Print Network [OSTI]

method for defining the specimen thickness is to average the largest and smallest overall bone lengths in the test group and use a reference thickness of 2 millimeters as a percentage of this average length. This percentage of the overall average length...

Cowen, Kyle Ray

2013-02-22T23:59:59.000Z

55

SciTech Connect (OSTI)

The Levenberg-Marquardt (or simply Marquardt) and differential evolution (DE) optimization methods were recently applied to solve inverse transport problems. The Marquardt method is fast but convergence of the method is dependent on the initial guess. While it has been shown to work extremely well at finding an optimum independent of the initial guess, the DE method does not provide a global optimal solution in some problems. In this paper, we apply the Mesh Adaptive Direct Search (MADS) algorithm to solve the inverse problem of material interface location identification in one-dimensional spherical radiation source/shield systems, and we compare the results obtained by MADS to those obtained by Levenberg-Marquardt and DE.

Armstrong, Jerawan C. [Los Alamos National Laboratory; Favorite, Jeffrey A. [Los Alamos National Laboratory

2012-06-20T23:59:59.000Z

56

DOE Patents [OSTI]

Methods are provided for detecting and locating leaks in liners used as barriers in the construction of landfills, surface impoundments, water reservoirs, tanks, and the like. Electrodes are placed in the ground around the periphery of the facility, in the leak detection zone located between two liners if present, and/or within the containment facility. Electrical resistivity data is collected using these electrodes. This data is used to map the electrical resistivity distribution beneath the containment liner between two liners in a double-lined facility. In an alternative embodiment, an electrode placed within the lined facility is driven to an electrical potential with respect to another electrode placed at a distance from the lined facility (mise-a-la-masse). Voltage differences are then measured between various combinations of additional electrodes placed in the soil on the periphery of the facility, the leak detection zone, or within the facility. A leak of liquid though the liner material will result in an electrical potential distribution that can be measured at the electrodes. The leak position is located by determining the coordinates of an electrical current source pole that best fits the measured potentials with the constraints of the known or assumed resistivity distribution. 6 figs.

Daily, W.D.; Laine, D.L.; Laine, E.F.

1997-08-26T23:59:59.000Z

57

DOE Patents [OSTI]

Methods are provided for detecting and locating leaks in liners used as barriers in the construction of landfills, surface impoundments, water reservoirs, tanks, and the like. Electrodes are placed in the ground around the periphery of the facility, in the leak detection zone located between two liners if present, and/or within the containment facility. Electrical resistivity data is collected using these electrodes. This data is used to map the electrical resistivity distribution beneath the containment liner between two liners in a double-lined facility. In an alternative embodiment, an electrode placed within the lined facility is driven to an electrical potential with respect to another electrode placed at a distance from the lined facility (mise-a-la-masse). Voltage differences are then measured between various combinations of additional electrodes placed in the soil on the periphery of the facility, the leak detection zone, or within the facility. A leak of liquid though the liner material will result in an electrical potential distribution that can be measured at the electrodes. The leak position is located by determining the coordinates of an electrical current source pole that best fits the measured potentials with the constraints of the known or assumed resistivity distribution.

Daily, William D. (Livermore, CA); Laine, Daren L. (San Antonio, TX); Laine, Edwin F. (Alamo, CA)

1997-01-01T23:59:59.000Z

58

DOE Patents [OSTI]

Methods are provided for detecting and locating leaks in liners used as barriers in the construction of landfills, surface impoundments, water reservoirs, tanks, and the like. Electrodes are placed in the ground around the periphery of the facility, in the leak detection zone located between two liners if present, and/or within the containment facility. Electrical resistivity data is collected using these electrodes. This data is used to map the electrical resistivity distribution beneath the containment liner or between two liners in a double-lined facility. In an alternative embodiment, an electrode placed within the lined facility is driven to an electrical potential with respect to another electrode placed at a distance from the lined facility (mise-a-la-masse). Voltage differences are then measured between various combinations of additional electrodes placed in the soil on the periphery of the facility, the leak detection zone, or within the facility. A leak of liquid through the liner material will result in an electrical potential distribution that can be measured at the electrodes. The leak position is located by determining the coordinates of an electrical current source pole that best fits the measured potentials with the constraints of the known or assumed resistivity distribution.

Daily, William D. (Livermore, CA); Laine, Daren L. (San Anotonio, TX); Laine, Edwin F. (Penn Valley, CA)

2001-01-01T23:59:59.000Z

59

SciTech Connect (OSTI)

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

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

2011-08-01T23:59:59.000Z

60

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

Operable Date of Last Operation Date Shutdown Table 11. New, Shutdown and Reactivated Refineries During 2012 a b REACTIVATED PAD District I 185,000 366,700 Monroe Energy LLC Trainer, PA 185,000 366,700 09/12 c SHUTDOWN PAD District I 80,000 47,000 ChevronUSA Inc Perth Amboy, NJ 80,000 47,000 03/08 07/12 PAD District III 16,800 19,500 Western Refining Southwest Inc Bloomfield, NM 16,800 19,500 12/09 11/12 PAD District VI 500,000 1,086,000 Hovensa LLC Kingshill, VI 500,000 1,086,000 02/12 02/12 a b bbl/cd=Barrels per calendar day. bbl/sd=Barrels per stream day. Sources: Energy Information Administration (EIA) Form EIA-810, "Monthly Refinery Report" and Form EIA-820, "Annual Refinery Report." c Formerly owned by ConocoPhillips Company.

Note: This page contains sample records for the topic "method location total" 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

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

of Last of Last Operation Date Shutdown Table 13. Refineries Permanently Shutdown By PAD District Between January 1, 1990 and January 1, 2013 PAD District I 542,450 GNC Energy Corp Greensboro, NC 3,000 0 a Primary Energy Corp Richmond, VA 6,100 0 a Saint Mary's Refining Co Saint Mary's, WV 4,000 4,480 02/93 03/93 Cibro Refining Albany, NY 41,850 27,000 07/93 09/93 Calumet Lubricants Co LP Rouseville, PA 12,800 26,820 03/00 06/00 Young Refining Corp. Douglasville, GA 5,400 0 07/04 07/04 Sunoco Inc Westville, NJ 145,000 263,000 11/09 02/10 Western Refining Yorktown Inc Yorktown, VA 66,300 182,600 09/10 12/11 Sunoco Inc Marcus Hook, PA 178,000 278,000 12/11 12/11 ChevronUSA Inc Perth Amboy, NJ 80,000 47,000 03/08 07/12 PAD District II 460,315 Coastal Refining & Mktg El Dorado, KS 0 20,000 b Intercoastal Energy Svcs

62

SciTech Connect (OSTI)

Bratton, Wesley L.; Maresca, Joseph W. Jr.; Beck, Deborah A. [Vista Engineering Technologies, L.L.C., Richland, WA, 99352 (United States)

2012-07-01T23:59:59.000Z

63

E-Print Network [OSTI]

. Note: Numbers generated from Autodesk Green Building Studio & Google Mortgage Calculator Source: Created in Microsoft Excel 22 In the first method I was able to successfully establish the utility bill and the total cost of ownership.... Note: Numbers generated from Autodesk Green Building Studio & Google Mortgage Calculator Source: Created in Microsoft Excel 22 In the first method I was able to successfully establish the utility bill and the total cost of ownership...

McGarity, Ashley

2010-07-14T23:59:59.000Z

64

E-Print Network [OSTI]

to complete an RPC analysis and improving the quality of the obtained results. High-resolution micro-CT scans are used to gain a better understanding of rat long bone anatomy by quantifying the location, shape, and orientation of the growth plate, primary...

Lemmon, Heber

2004-09-30T23:59:59.000Z

65

E-Print Network [OSTI]

of Saskatchewan Shanna D. Frith, Kurt M. Mazur , and Paul C. James 1 Abstract.--Barr ed Owl (Strix varia) nests forest of central Saskatchewan, Canada. During the nesting period, we located pairs of Barr ed Owls eal forest of Saskatchewan, Canada, are the largest reported for this species to date (Mazur 1997

66

E-Print Network [OSTI]

the sample to obtain a total-ion-current (TIC) chromatogram.The TIC of the sample can thenand calibrated against the TIC response of a standard(s).

Hodgson, A.T.

2011-01-01T23:59:59.000Z

67

E-Print Network [OSTI]

Methods Rok Mandeljc, Janez Pers, Matej Kristan, Stanislav Kovacic Faculty of Electrical Engineering people and assets has seen adoption in a wide range of applications, such as manufacturing, military Ethernet cable. In addition, sensors are conne

Kovacic, Stanislav

68

E-Print Network [OSTI]

. Figure 3. Figure 4. Figure 5. Figure 6. Calculation of zeroeth moment Calculation of first moment. . 29 30 Diagram of flows in and out of a perfectly mixed room. 30 Floor plan of test room. 31 Carbon dioxide concentration versus time for supply... duct injection point and pulse injection method. 32 Example of use of moments to determine mean age of air. . . . 29 Figure 7. Carbon dioxide concentration versus time for short circuit injection point and pulse injection method. 32 Figure 8...

Pierce, Stephen Dale

1994-01-01T23:59:59.000Z

69

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

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

70

Science Journals Connector (OSTI)

Development of Particle Induced Gamma-Ray Emission Methods for Nondestructive Determination of Isotopic Composition of Boron and Its Total Concentration in Natural and Enriched Samples ... The isotopic composition of boron in natural and enriched samples was determined by comparing peak area ratios corresponding to 10B and 11B of samples to natural boric acid standard. ...

Sumit Chhillar; Raghunath Acharya; Suparna Sodaye; Pradeep K. Pujari

2014-10-14T23:59:59.000Z

71

E-Print Network [OSTI]

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

Portman, Douglas

72

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

Entrance Maze Locations Entrance Maze Locations for the Storage Ring Tunnel Martin Knott LS-83 2/17/87 The Purpose of this note is to document the locations and decision rationale of the entrance mazes for the APS storage ring. There are a total of seven entrance mazes, four on the infield side and three on the operating floor side of the ring. Three of the infield mazes are associated with infield buildings, one in the Extraction Building and one each in the two RF Buildings. These three were located to provide convenient passage between the technical buildings and the storage ring components associated with those buildings. The Extraction Building maze allows passage between the positron beam transfer area and the storage ring two sectors upstream of the injection

73

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

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

74

SciTech Connect (OSTI)

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

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

75

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

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

76

E-Print Network [OSTI]

Library Locations Locations other than Main Library Example: Feminist Studies HQ1410 .U54 2009 University of California, Santa Barbara Library www.library.ucsb.edu Updated 3-2014 A - B.......................................6 Central M - N..................................................Arts Library (Music Building) P

77

E-Print Network [OSTI]

of as hazardous waste. 8. Decontamination: Specific instructions: For light contamination of small areas or items12.1 STANDARD OPERATING PROCEDURE for PHENOL Location(s): ___________________________________________________ Chemical(s): Phenol Specific Hazards: May be fatal if inhaled. Harmful if absorbed through skin. Harmful

Pawlowski, Wojtek

78

E-Print Network [OSTI]

We outline some general solutions to use already existing and currently used wire lines, such as power lines, phone lines, internet lines, etc, for the unconditionally secure communication method based on Kirchoff's Law and Johnson-like Noise (KLJN). Two different methods are shown. One is based on filters used at single wires and the other one utilizes a common mode voltage superimposed on a three-phase powerline.

Laszlo B. Kish

2006-10-02T23:59:59.000Z

79

Science Journals Connector (OSTI)

The antioxidant polyphenolic compounds tested demonstrate that the highest capacities in the CUPRAC method were observed for epicatechin gallate, epigallocatechin gallate, quercetin, fisetin, epigallocatechin, catechin, and caffeic acid in this order, in accordance with theoretical expectations, because the number and position of the hydroxyl groups as well as the degree of conjugation of the whole molecule are important. ...

Re?at Apak; Kubilay Güçlü; Mustafa Özyürek; Saliha Esin Karademir

2004-11-25T23:59:59.000Z

80

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

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

Note: This page contains sample records for the topic "method location total" 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

DOE Patents [OSTI]

This invention provides a device which includes a locator, a kinematic mount positioned on a conventional tooling machine, a part carrier disposed on the locator and a retainer ring. The locator has disposed therein a plurality of steel balls, placed in an equidistant position circumferentially around the locator. The kinematic mount includes a plurality of magnets which are in registry with the steel balls on the locator. In operation, a blank part to be machined is placed between a surface of a locator and the retainer ring (fitting within the part carrier). When the locator (with a blank part to be machined) is coupled to the kinematic mount, the part is thus exposed for the desired machining process. Because the locator is removably attachable to the kinematic mount, it can easily be removed from the mount, reversed, and reinserted onto the mount for additional machining. Further, the locator can likewise be removed from the mount and placed onto another tooling machine having a properly aligned kinematic mount. Because of the unique design and use of magnetic forces of the present invention, positioning errors of less than 0.25 micrometer for each machining process can be achieved. 7 figs.

Salzer, L.J.; Foreman, L.R.

1999-08-31T23:59:59.000Z

82

Science Journals Connector (OSTI)

......any type of objective function to be minimized, one is at liberty to replace the velocity model with any other desired, including...association with the major engineering works of the Snowy Mountain project and has subsequently been expanded to its present status of......

M. S. Sambridge; B. L. N. Kennett

1986-11-01T23:59:59.000Z

83

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

FOIA Offices and Reading Rooms FOIA Offices and Reading Rooms FOIA Office Locations Our FOIA Officers are located at various sites throughout the DOE complex, each with responsibility for records located at or under the jurisdiction of the site. We recommend that you send your request directly to that specific site. This will shorten the processing time. However, if you do not know which location has responsive records, you may either call the Headquarters FOIA office at (202) 586-5955 to determine the appropriate office, or mail the request to the Headquarters FOIA office. Other records are publicly available in the facilities listed below: Headquarters U.S. Department of Energy FOIA/Privacy Act Group 1000 Independence Avenue, SW Washington, D.C. 20585 Phone: 202-586-5955 Fax: 202-586-0575

84

E-Print Network [OSTI]

This work builds an infrastructure called Location Linked Information that offers a means to associate digital information with public, physical places. This connection creates a hybrid virtual/physical space, called glean ...

Mankins, Matthew William David, 1975-

2003-01-01T23:59:59.000Z

85

SciTech Connect (OSTI)

Mechanical specifications, ratings, locations, and status are listed for each of the 5,000 contract rotary drilling rigs operated by the more than 700 independent drilling contractors throughout the Free World.

Not Available

1984-03-01T23:59:59.000Z

86

SciTech Connect (OSTI)

Mechanical specifications, ratings, locations, and status are listed for each of the 5,000 contract rotary drilling rigs operated by more than 700 independent drilling contractors throughout the Free World.

Not Available

1983-09-01T23:59:59.000Z

87

E-Print Network [OSTI]

Many real world systems or web services can be represented as a network such as social networks and transportation networks. In the past decade, many algorithms have been developed to detect the communities in a network using connections between nodes. However in many real world networks, the locations of nodes have great influence on the community structure. For example, in a social network, more connections are established between geographically proximate users. The impact of locations on community has not been fully investigated by the research literature. In this paper, we propose a community detection method which takes locations of nodes into consideration. The goal is to detect communities with both geographic proximity and network closeness. We analyze the distribution of the distances between connected and unconnected nodes to measure the influence of location on the network structure on two real location-tagged social networks. We propose a method to determine if a location-based community detection...

Liu, Zhi

2015-01-01T23:59:59.000Z

88

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

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

89

E-Print Network [OSTI]

Admissions Parking Palmer Lake B l a c k W a r r i o r R i v e r BUILDING# NAME LOCATION BUILDING# NAME LOCATION OTHER BUILDINGS LOCATION SORORITIES LOCATION 7046 70127012 1155 10331033 1150 1039 1038

Carver, Jeffrey C.

90

Open Energy Info (EERE)

91

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

Pine Tree Growth Locations Pine Tree Growth Locations Name: Amielee Location: N/A Country: N/A Date: N/A Question: Why do pine trees not grow south of the equator? Replies: Dear Amielee, The natural distribution of the pines is the northern hemisphere: http://phylogeny.arizona.edu/tree/eukaryotes/green_plants/embryophytes/conif ers/pinaceae/pinus/pinus.html However, pines have become introduced into the southern hemisphere through cultivation: http://www.woodweb.com/~treetalk/Radiata_Pine/wowhome.html Sincerely, Anthony R. Brach, Ph.D. Hi Amielee Some pine trees do live south of the equator but we (I live in Australia) do not have the huge forests of native conifers that you have in the northern hemisphere. Even in the northern hemisphere conifers are only found in two forest types: 1. Tiaga

92

Location Project Description Location Project Description Boise State University Boise, Idaho Boise State University has undertaken a study of the structural setting and geothermal potential at Neal Hot Springs that will integrate geology, geochemistry, and geophysics to analyze the site on the western Snake River plain. Boise State will determine if Neal Hot Springs sustains the necessary rock dilation and conduit pathways for hydrothermal fluid flow and successful geothermal development. The result will be new data acquisition, including a deep geophysical survey and fault surface data. Colorado School of Mines Golden, Colorado Colorado School of Mines will conduct an investigation near Homedale, Idaho, an area that straddles volcanic rock and unconsolidated sediments.

93

E-Print Network [OSTI]

M340 Computer Lab Information Â· Location: The computer labs accessible to you are Weber 205 it is recommended that you save your files on a floppy when you are finished. Â· There is another directory, g:\\m340 to the saved files you have to add the directory to the Matlab path. To do this type addpath g:\\m340

Dangelmayr, Gerhard

94

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

95

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

Locations Locations Clean Cities coalitions are primarily located in major metropolitan areas throughout the United States. Select the dots on the map for information about individual coalitions. See also the list of coalitions by designation date. United States map showing Clean Cities Coalition locations. Philadelphia State of Delaware Capitol Clean Cities of Connecticut Connecticut Southwestern Area New Haven Norwich Red River Valley (Grand Forks, Winnipeg, Manitoba, Canada) Silicon Valley (San Jose) East Bay (Oakland) San Francisco Sacramento Granite State State of Vermont Northeast Ohio Clean Transportation (Cleveland) Detroit Clean Communities of Western New York (Buffalo) Central New York (Syracuse) Capital District (Albany) Empire Clean Cities State of Maryland Washington DC Metropolitan South Shore Western Riverside County Southern California Association of Governments (SCAG) Atlanta Alabama Denver Philadelphia State of Delaware Las Vegas Washington DC Metropolitan Massachusetts Clean Cities Lone Star Clean Fuels Alliance (Austin) Southeast Florida Chicago Land of Enchantment Wisconsin-Southeast Area Southern Colorado Clean Cities Coalition Long Beach Antelope Valley Utah Clean Cities State of Maryland Kentucky Clean Cities Partnership Coalition Rogue Valley State of West Virginia San Joaquin Valley San Francisco Columbia-Willamette St. Louis Central New York (Syracuse) Dallas/Ft. Worth Honolulu Central Arkansas Pittsburgh Southern California Association of Governments (SCAG) Los Angeles Coachella Valley Region Northern Colorado Central Oklahoma (Oklahoma City) Virginia Clean Cities Coalition San Diego Regional Clean Cities Coalition Greater Long Island Maine Clean Communities Tulsa Valley of the Sun (Phoenix) Western Riverside County New Jersey Genesee Region (Rochester) Western Washington Clean Cities (Seattle) Ocean State Connecticut Connecticut2 Kansas City Regional Coalition Greater Indiana Clean Cities Coalition Capital District (Albany) Tucson Central Florida Clean Cities Coalition Alamo Area (San Antonio) Greater Baton Rouge Clean Cities Coalition Triangle (Raleigh, Durham, Chapel Hill) Twin Cities Clean Fuels Ohio Yellowstone-Teton Clean Energy Coalition Greater Lansing Palmetto State Houston-Galveston Middle Tennessee East Tennessee Clean Fuels Coalition Centralina Clean Fuels Coalition State of Iowa Treasure Valley Central Coast Southeast Louisiana Clean Fuels Partnership Land of Sky Coalition

96

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Locations Locations Clean Cities coalitions are primarily located in major metropolitan areas throughout the United States. Select the dots on the map for information about individual coalitions. See also the list of coalitions by designation date. United States map showing Clean Cities Coalition locations. Philadelphia State of Delaware Capitol Clean Cities of Connecticut Connecticut Southwestern Area New Haven Norwich Red River Valley (Grand Forks, Winnipeg, Manitoba, Canada) Silicon Valley (San Jose) East Bay (Oakland) San Francisco Sacramento Granite State State of Vermont Northeast Ohio Clean Transportation (Cleveland) Detroit Clean Communities of Western New York (Buffalo) Central New York (Syracuse) Capital District (Albany) Empire Clean Cities State of Maryland Washington DC Metropolitan South Shore Western Riverside County Southern California Association of Governments (SCAG) Atlanta Alabama Denver Philadelphia State of Delaware Las Vegas Washington DC Metropolitan Massachusetts Clean Cities Lone Star Clean Fuels Alliance (Austin) Southeast Florida Chicago Land of Enchantment Wisconsin-Southeast Area Southern Colorado Clean Cities Coalition Long Beach Antelope Valley Utah Clean Cities State of Maryland Kentucky Clean Cities Partnership Coalition Rogue Valley State of West Virginia San Joaquin Valley San Francisco Columbia-Willamette St. Louis Central New York (Syracuse) Dallas/Ft. Worth Honolulu Central Arkansas Pittsburgh Southern California Association of Governments (SCAG) Los Angeles Coachella Valley Region Northern Colorado Central Oklahoma (Oklahoma City) Virginia Clean Cities Coalition San Diego Regional Clean Cities Coalition Greater Long Island Maine Clean Communities Tulsa Valley of the Sun (Phoenix) Western Riverside County New Jersey Genesee Region (Rochester) Western Washington Clean Cities (Seattle) Ocean State Connecticut Connecticut2 Kansas City Regional Coalition Greater Indiana Clean Cities Coalition Capital District (Albany) Tucson Central Florida Clean Cities Coalition Alamo Area (San Antonio) Greater Baton Rouge Clean Cities Coalition Triangle (Raleigh, Durham, Chapel Hill) Twin Cities Clean Fuels Ohio Yellowstone-Teton Clean Energy Coalition Greater Lansing Palmetto State Houston-Galveston Middle Tennessee East Tennessee Clean Fuels Coalition Centralina Clean Fuels Coalition State of Iowa Treasure Valley Central Coast Southeast Louisiana Clean Fuels Partnership Land of Sky Coalition

97

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

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

98

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

99

SciTech Connect (OSTI)

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

None

2012-01-01T23:59:59.000Z

100

E-Print Network [OSTI]

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

Thompson, Michael

Note: This page contains sample records for the topic "method location total" 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

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

Mazda 3 i-Stop Mazda 3 i-Stop Test Cell Location APRF- 4WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional- Start Stop Vehicle Dynamometer Input Document Date 11/20/2012 Advanced Powertrain Research Facility Test weight [lb] 3250 Vehicle Dynamometer Input Document Date 11/20/2012 Revision Number 1 Advanced Powertrain Research Facility Test weight [lb] Target A [lb] 3250 31.2 Target B [lb/mph] Target C [lb/mph^2] 0.462 0.014 Test Fuel Information - Vehicle equipped with with i-Stop package - Manual Transmission - All tests completed in ECO mode - EPA shift schedule modified based on vehicle shift light activity Revision Number 1 Notes: Fuel type EPA Tier II EEE Gasoline Test Fuel Information - Vehicle equipped with with i-Stop package

102

Science Journals Connector (OSTI)

Locations Everyone: Lights, Camera, Action! ... Harvard Institute of Proteomics Harvard Medical School ...

Robert F. Murphy; Joshua LaBaer

2008-12-05T23:59:59.000Z

103

SciTech Connect (OSTI)

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

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

1983-05-01T23:59:59.000Z

104

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

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

105

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

Chrysler 300 Chrysler 300 Test Cell Location 2WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional Vehicle Dynamometer Input Document Date 8/7/2013 Advanced Powertrain Research Facility Test weight [lb] Target A [lb] 4250 38.61 Target B [lb/mph] Target C [lb/mph^2] 0.8894 0.01105 3.6L VVT Port-injected V-6 8 speed Transmission Revision Number 3 Notes: Test Fuel Information 3.6L VVT Port-injected V-6 8 speed Transmission Fuel type Tier II EEE HF437 3.6L VVT Port-injected V-6 8 speed Transmission Fuel density [g/ml] Fuel Net HV [BTU/lbm] 0.743 18490 T e s t I D [ # ] C y c l e C o l d s t a r t ( C S t ) H o t s t a r t [ H S t ] D a t e T e s t C e l l T e m p [ C ] T e s t C e l l R H [ % ] T e s t C e l l B a r o [ i n / H g ] V e h i c l e c o o l i n g f a n s p e e d : S p e e d M a t c h [ S M ] o r c o n s t a n t s p e e d [ C S ] S

106

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

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

107

Gasoline and Diesel Fuel Update (EIA)

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

108

E-Print Network [OSTI]

Abstract: A generalized Weiszfeld method is proposed for the multi–facility location ... Category 1: Applications -- OR and Management Sciences (Other ).

Cem Iyigun

109

E-Print Network [OSTI]

??A set of fault location algorithms for underground medium voltage cables, two incipient fault detection schemes for distribution cables and a state estimation method for… (more)

Xu, Zhihan

2011-01-01T23:59:59.000Z

110

E-Print Network [OSTI]

Guide to the Libraries #12;Library Locations W.E.B. DU BOIS LIBRARY www.library.umass.edu 154 Hicks Way (413) 545-0150, (413) 545-2622 The Du Bois Library is the primary location for resources machine, and a fax machine. Quiet study space is located on Floors 2 and 3 and throughout the upper floors

Massachusetts at Amherst, University of

111

DOE Patents [OSTI]

This invention deals with spring loaded locator pins. Locator pins are sometimes referred to as captured pins. This is a mechanism which locks two items together with the pin that is spring loaded so that it drops into a locator hole on the work piece.

Groll, Todd A. (Idaho Falls, ID); White, James P. (Pocatelo, ID)

1998-01-01T23:59:59.000Z

112

DOE Patents [OSTI]

This invention deals with spring loaded locator pins. Locator pins are sometimes referred to as captured pins. This is a mechanism which locks two items together with the pin that is spring loaded so that it drops into a locator hole on the work piece. 5 figs.

Groll, T.A.; White, J.P.

1998-03-03T23:59:59.000Z

113

E-Print Network [OSTI]

The influence of variety and location on flesh color, pigment content and total carotenoid content was studied using Texas and Colorado grown tubers from ten yellow flesh and two white flesh potato varieties. Antioxidant activity and total phenolics...

Al-Saikhan, Mohamed Salem

1994-01-01T23:59:59.000Z

114

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Alternative Fueling Station Locator Alternative Fueling Station Locator Fuel Type Biodiesel (B20 and above) Compressed Natural Gas Electric Ethanol (E85) Hydrogen Liquefied Natural Gas (LNG) Liquefied Petroleum Gas (Propane) Location Enter a city, postal code, or address Include private stations Not all stations are open to the public. Choose this option to also search private fueling stations. Search Caution: The AFDC recommends that users verify that stations are open, available to the public, and have the fuel prior to making a trip to that location. Some stations in our database have addresses that could not be located by the Station Locator application. This may result in the station appearing in the center of the zip code area instead of the actual location. If you're having difficulty, please contact the technical response team at

115

Gasoline and Diesel Fuel Update (EIA)

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

116

Open Energy Info (EERE)

117

Gasoline and Diesel Fuel Update (EIA)

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

118

Gasoline and Diesel Fuel Update (EIA)

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

119

Gasoline and Diesel Fuel Update (EIA)

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

120

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

LOCATION: Johnson County Sheriff's Office Criminalistics Laboratory 11890 Sunset Drive Olathe, Kansas 66061 DATE: JULY 15TH - JULY 18TH, 2013 TUITION: MAFS MEMBERS: 550 Non-MAFS...

Note: This page contains sample records for the topic "method location total" 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

Science Journals Connector (OSTI)

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

2000-01-02T23:59:59.000Z

122

SciTech Connect (OSTI)

The Department of Energy's Alternative Fueling Station Locator is available on-the-go via cell phones, BlackBerrys, or other personal handheld devices. The mobile locator allows users to find the five closest biodiesel, electricity, E85, hydrogen, natural gas, and propane fueling sites using Google technology.

Not Available

2009-04-01T23:59:59.000Z

123

E-Print Network [OSTI]

to the south of West Valley persists throughout the catalog. An additional cluster of seismicity to the south

Wilcock, William

124

E-Print Network [OSTI]

Annual Sales Employees Year Started San Diego County Chuao Chocolatier, Inc. Carlsbad $1,200,000 30 2004 Genoptix Medical Laboratory Carlsbad$4,100,000 50 1999 Viasat, Inc. Carlsbad $516,566,000 1,463 1986 Wang, Deli 125 Open Energy Info (EERE) TENESOL formerly known as TOTAL ENERGIE TENESOL formerly known as TOTAL ENERGIE Jump to: navigation, search Name TENESOL (formerly known as TOTAL ENERGIE) Place la Tour de Salvagny, France Zip 69890 Sector Solar Product Makes polycrystalline silicon modules, and PV-based products such as solar powered pumps. References TENESOL (formerly known as TOTAL ENERGIE)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. TENESOL (formerly known as TOTAL ENERGIE) is a company located in la Tour de Salvagny, France . References â†‘ "TENESOL (formerly known as TOTAL ENERGIE)" Retrieved from "http://en.openei.org/w/index.php?title=TENESOL_formerly_known_as_TOTAL_ENERGIE&oldid=352112" Categories: 126 E-Print Network [OSTI] Julio de 2011 Tipo de Discapacidad Sexo CENTRO 5-DistribuciĂłn del estudiantado con discapacidad por centro, tipo de discapacidad, sexo y totales. #12; Autonoma de Madrid, Universidad 127 Science Journals Connector (OSTI) Jan 22, 1974 ... ment of the total energy and vice versa. From a measurement of spectral irradi- ance ... unit energy (for the wavelength region specified). 2000-01-02T23:59:59.000Z 128 E-Print Network [OSTI] Three-dimensional route maps, which depict a path from one location to another, can be powerful tools for visualizing and communicating directions. This thesis presents a client-server architecture for generating and ... Nichols, Patrick James, 1981- 2004-01-01T23:59:59.000Z 129 U.S. Energy Information Administration (EIA) Indexed Site 49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units....................................................... 130 U.S. Energy Information Administration (EIA) Indexed Site 7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units................................. 131 U.S. Energy Information Administration (EIA) Indexed Site 5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units................................. 132 U.S. Energy Information Administration (EIA) Indexed Site 4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units................................................................. 133 U.S. Energy Information Administration (EIA) Indexed Site Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 134 U.S. Energy Information Administration (EIA) Indexed Site Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours......................................................... 135 U.S. Energy Information Administration (EIA) Indexed Site ,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central................................. 136 U.S. Energy Information Administration (EIA) Indexed Site ..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours............................................................. 137 U.S. Energy Information Administration (EIA) Indexed Site Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day....................................................... 138 U.S. Energy Information Administration (EIA) Indexed Site 0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit...................................................................... 139 U.S. Energy Information Administration (EIA) Indexed Site 14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than$9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to$14,999..........................................

140

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

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

Note: This page contains sample records for the topic "method location total" 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

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

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

142

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

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

143

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

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

144

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

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

145

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

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

146

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

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

147

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

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

148

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

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

149

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

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

150

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

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

151

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

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

152

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

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

153

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

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

154

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

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

155

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

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

156

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

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

157

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

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

158

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

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

159

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

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

160

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

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

Note: This page contains sample records for the topic "method location total" 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

Gasoline and Diesel Fuel Update (EIA)

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

162

Gasoline and Diesel Fuel Update (EIA)

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

163

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

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

164

Gasoline and Diesel Fuel Update (EIA)

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

165

Gasoline and Diesel Fuel Update (EIA)

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

166

Gasoline and Diesel Fuel Update (EIA)

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

167

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

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

168

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

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

169

Gasoline and Diesel Fuel Update (EIA)

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

170

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

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

171

Gasoline and Diesel Fuel Update (EIA)

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

172

Gasoline and Diesel Fuel Update (EIA)

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

173

Gasoline and Diesel Fuel Update (EIA)

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

174

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

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

175

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

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

176

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

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

177

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

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

178

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

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

179

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

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

180

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

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

Note: This page contains sample records for the topic "method location total" 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

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

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

182

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

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

183

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

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

184

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

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

185

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

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

186

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

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

187

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

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

188

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

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

189

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

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

190

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

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

191

E-Print Network [OSTI]

and feed:gain ratios of the ad libi- tum fed pigs was similar to performance obtained in commercial pork pro- duction systems. Feeding level or feeding method did not affect (P&, 05) nutrient digestibilities determined at the distal end of the small in... EXPERIMENTAL PROCEDURE A 3x3 Latin Square designed trial was conducted in duplicate to de- termine if feeding level and method of feeding affects the availability of nitrogen, selected amino acids and energy at the end of the small in- testine and over...

Haydon, Keith Dale

2012-06-07T23:59:59.000Z

192

Open Energy Info (EERE)

193

Open Energy Info (EERE)

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

194

E-Print Network [OSTI]

is not growing rapidly or 1s very small, they may not carry a staff from wh1ch the necessary people for a 25 s1te selection team can be drawn. Also, quite possibly, a company may not be involved in the site selection process for expansion. Instead, they may... location and site selection. This data was gathered through library research, atten- dance of various industr1al development conferences, sol1citation of mater1als from individuals currently involved with industrial facil1ties location, and various...

Hammack, William Eugene

2012-06-07T23:59:59.000Z

195

Biofuels Project Locations Biofuels Project Locations BlueFire Ethanol Biochemical Municipal Solid Waste (Mecca, CA) Poet Biochemical Corn Cob/Corn Fiber (Emmetsburg, IA) Lignol Biochemical Woody Biomass- Ag Residues (Grand Junction, CO) ICM Biochemical Switchgrass, Forage Sorghum, Stover (St. Joseph, MO) Abengoa Biochemica Agricultural Residue (Hugoton, KS) DOE Joint Bioenergy Institute (Berkeley, CA) DOE Great Lakes Bioenergy Research Center (Madison, WI) DOE Bioenergy Science Center (Oak Ridge, TN) NewPage Thermochemical Woody Biomass - Mill Residues (Wisconsin Rapids, WI) Range Fuels Thermochemical Woody Waste (Soperton, GA) DSM Innovation Center Biochemical Various (Parsippany, NJ) Novozymes Biochemical Various (Davis, CA) Genencor Biochemical Various (Palo Alto, CA) Verenium Corp Biochemical Various (San Diego, CA)

196

Open Energy Info (EERE)

197

E-Print Network [OSTI]

Housman Building 80 E. Concord St R BU School of Medicine, Instructional Building 80 E. Concord St L BU JBuilding Address Locations - Assumes entire building unless noted Designation Submit through* 560, 4 BU Crosstown Center 801 Massachusetts Ave Floor 1, 2 BMC BCD Building 800 Harrison Avenue BCD BMC

Guenther, Frank

198

Science Journals Connector (OSTI)

A dangerous workplace like the iron production company needs a durable monitoring of workers to protect them from an critical accident. This paper concerns about a robust and accurate location tracking method using ubiquitous RFID wireless network. The ...

Keunho Yun; Seokwon Choi; Daijin Kim

2006-09-01T23:59:59.000Z

199

Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Title, Location, Document Number Estimated Cost Description EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $65,000 Annual NEPA Planning Summary NEPA Reviews of Proposals to Implement Enterprise SRS Initiatives unknown The Savannah River Site Strategic Plan for 2011 - 2015 describes 12 initiatives that Enterprise SRS will pursue by applying SRS's management core competencies in nuclear materials. Implementation of new missions resulting from this effort will likely require NEPA review. However, until firm proposals are developed 200 SciTech Connect (OSTI) The total sky imager (TSI) provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees. Morris, VR 2005-06-01T23:59:59.000Z Note: This page contains sample records for the topic "method location total" 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 Science Journals Connector (OSTI) The structure of Corning superpure vitreous silica glass has been investigated with neutrons. A new method of analysis using variable neutron wavelengths and the measurement of total scattering cross sections from transmission experiments is developed and the results are compared with those from differential x-ray scattering. The total neutron scattering method permits a simple and direct structure analysis with resolution apparently superior to x-rays. The preliminary results compare well in a first approximation analysis with the basic structure model of Warren and others and in addition the neutron-determined atomic radial distribution curve exhibits some finer details than the x-ray results. Thermal inelastic scattering of neutrons was corrected for in an approximate way. R. J. Breen; R. M. Delaney; P. J. Persiani; A. H. Weber 1957-01-15T23:59:59.000Z 202 Open Energy Info (EERE) 00 00 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142288500 Varnish cache server station locations Dataset Summary Description Alternative fueling stations are located throughout the United States and their availability continues to grow. The Alternative Fuels Data Center (AFDC) maintains a website where you can find alternative fuels stations near you or on a route, obtain counts of alternative fuels stations by state, Source Alternative Fuels Data Center Date Released December 13th, 2010 (4 years ago) Date Updated December 13th, 2010 (4 years ago) Keywords alt fuel alternative fuels alternative fuels stations biodiesel CNG compressed natural gas E85 Electricity ethanol 203 DOE R&D Accomplishments [OSTI] A system is described that makes use of positron emitting isotopes for locating brain tumors. This system inherently provides more information about the distribution of radioactivity in the head in less time than existing scanners which use one or two detectors. A stationary circular array of 32 scintillation detectors scans a horizontal layer of the head from many directions simultaneously. The data, consisting of the number of counts in all possible coincidence pairs, are coded and stored in the memory of a Two-Dimensional Pulse-Height Analyzer. A unique method of displaying and interpreting the data is described that enables rapid approximate analysis of complex source distribution patterns. (auth) Rankowitz, S.; Robertson, J. S.; Higinbotham, W. A.; Rosenblum, M. J. 1962-03-00T23:59:59.000Z 204 Science Journals Connector (OSTI) The total current I total waveform in a plasma focus discharge is the most commonly measured quantity contrasting with the difficult measurement of I pinch . However yield laws should be scaled to focus pinch current I pinch rather than the peak I total . This paper describes how I pinch may be computed from the I total trace by fitting a computed current trace to the measured current trace using the Lee model. The method is applied to an experiment in which both the I total trace and the plasma sheath current trace were measured. The result shows good agreement between the values of computed and measured I pinch . S. Lee; S. H. Saw; P. C. K. Lee; R. S. Rawat; H. Schmidt 2008-01-01T23:59:59.000Z 205 Science Journals Connector (OSTI) This is a literature survey of computational location privacy, meaning computation-based privacy mechanisms that treat location data as geometric information. This definition includes privacy-preserving algorithms like anonymity and obfuscation as well ... Keywords: Context, Location, Privacy John Krumm 2009-08-01T23:59:59.000Z 206 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Location and Hours Location The ORNL Research Library is located off the central corridor of Bldg. 4500N on the main ORNL campus. Hours The library is open 24 hours, seven days a... 207 U.S. Energy Information Administration (EIA) Indexed Site Vacuum Vacuum State/Refiner/Location Barrels per Atmospheric Crude Oil Distillation Capacity Barrels per Operating Idle Operating Idle Downstream Charge Capacity Thermal Cracking Delayed Fluid Coking Visbreaking Other/Gas Calendar Day Stream Day Distillation Coking Oil Table 3. Capacity of Operable Petroleum Refineries by State as of January 1, 2013 (Barrels per Stream Day, Except Where Noted) ......................................................... Alabama 120,100 0 130,000 0 48,000 32,000 0 0 0 Goodway Refining LLC 4,100 0 5,000 0 0 0 0 0 0 .................................................................................................................................................................................................... 208 Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)] Mobile Truck Stop Electrification Site Locator Location Enter a city, postal code, or address Search Caution: The AFDC recommends that users verify that sites are open prior to... 209 Broader source: Energy.gov (indexed) [DOE] Launches Alternative Fueling Station Locator App Energy Department Launches Alternative Fueling Station Locator App November 7, 2013 - 11:16am Addthis As part of the Obama... 210 SciTech Connect (OSTI) We study the potential energy landscape underlying the motion of monatomic liquids by quenching from random initial configurations (stochastic configurations) to the nearest local minimum of the potential energy. We show that this procedure reveals the underlying potential energy surface directly. This is in contrast to the common technique of quenching from a molecular dynamics trajectory which does not allow a direct view of the underlying potential energy surface, but needs to be corrected for thermodynamic weighting factors. Bock, Nicolas [Los Alamos National Laboratory; Peery, Travis [Los Alamos National Laboratory; Venneri, Giulia [Los Alamos National Laboratory; Chisolm, Eric [Los Alamos National Laboratory; Wallace, Duane [Los Alamos National Laboratory; Lizarraga, Raquel [CHILE; Holmstrom, Erik [CHILE 2009-01-01T23:59:59.000Z 211 Science Journals Connector (OSTI) Promoting environmentally conscious energy policies to reduce carbon emissions is a mutual duty of the international community. Several cities or government regions have implemented strategies and means to reduce... Amy J.C. Trappey; Charles V. Trappey… 2013-01-01T23:59:59.000Z 212 E-Print Network [OSTI] is to investigate the ability of these two techniques and ground penetrating radar to define undocumented landfill boundaries. Terrain conductivity senses the contrast in the electrical conductivity between filled and undisturbed areas. A proton precession... operating continuously for 20 years determined that electrical conductivity techniques work well in thick deposits of area fill and poorly or not at all on thin trench fill areas. Furthermore, length of burial time does not correlate with strength... Brand, Stephen Gardner 2012-06-07T23:59:59.000Z 213 Broader source: Energy.gov (indexed) [DOE] Biofuels Biofuels Project Locations Pacific Ethanol (Boardman, OR) BlueFire Ethanol (Corona, CA) POET (Emmetsburg, IA) Lignol Innovations (Commerce City, CO) ICM (St. Joseph, MO) Abengoa (Hugoton, KS) DOE Joint Bioenergy Institute (Berkeley, CA) DOE Great Lakes Bioenergy Research Center (Madison, WI) DOE Bioenergy Science Center (Oak Ridge, TN) NewPage (Wisconsin Rapids, WI) Range Fuels (Soperton, GA) DSM Innovation Center (Parsippany, NJ) Novozymes (Davis, CA) Genencor (Palo Alto, CA) Verenium Corp (San Diego, CA) Dupont (Wilmington, DE) Mascoma (Lebanon, NH) Cargill Inc (Minneapolis, MN) Regional Partnerships South Dakota State University, Brookings, SD Cornell University, Ithaca, NY University of Tennessee, Knoxville, TN Oklahoma State University, Stillwater, OK Oregon State University, Corvallis, OR 214 Broader source: Energy.gov (indexed) [DOE] Period Period Total Fee Paid 4/29/2012 - 9/30/2012$418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014$0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016$0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period:$116,769,139 November 2011 - September 2016 $475,395$0 Fee Information Total Estimated Contract Cost $1,141,623$1,140,948 $1,140,948$5,039,862 $1,140,948 Maximum Fee$5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

215

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

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

216

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

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

217

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

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

218

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

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

219

E-Print Network [OSTI]

Jul 21, 2014 ... Citation: Technical Report 2014-3, Department of Industrial Engineering and Management, Tokyo Institute of Technology. Download: [PDF].

Shinji Mizuno

2014-07-21T23:59:59.000Z

220

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

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

Note: This page contains sample records for the topic "method location total" 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

Open Energy Info (EERE)

222

Science Journals Connector (OSTI)

Abstract A dominating set S of graph G is called metric-locating–dominating if it is also locating, that is, if every vertex v is uniquely determined by its vector of distances to the vertices in S . If moreover, every vertex v not in S is also uniquely determined by the set of neighbors of v belonging to S , then it is said to be locating–dominating. Locating, metric-locating–dominating and locating–dominating sets of minimum cardinality are called ? -codes, ? -codes and ? -codes, respectively. A Nordhaus–Gaddum bound is a tight lower or upper bound on the sum or product of a parameter of a graph G and its complement G Ż . In this paper, we present some Nordhaus–Gaddum bounds for the location number ? , the metric-location–domination number ? and the location–domination number ? . Moreover, in each case, the graph family attaining the corresponding bound is fully characterized.

C. Hernando; M. Mora; I.M. Pelayo

2014-01-01T23:59:59.000Z

223

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

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

224

SciTech Connect (OSTI)

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

None

1980-01-10T23:59:59.000Z

225

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

226

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

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

227

SciTech Connect (OSTI)

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

Not Available

1993-12-01T23:59:59.000Z

228

E-Print Network [OSTI]

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

Lingampalli, Nithya

2014-01-01T23:59:59.000Z

229

E-Print Network [OSTI]

and 1999. Bedding had a significant (P # 0.05) effect on NH4Â­N concentration and load in 1999, SO4 load in 1998, SO4 concentration and load in 1999, and total coliforms in both years; where these three reactive phosphorus (DRP), total P, and NH4Â­N concentrations and loads at the bedding pack location in wood

Selinger, Brent

230

E-Print Network [OSTI]

of the reconstruted image. Insufficiency of data may be caused by the undersampling of projections, by the limitedTotal variation based Fourier reconstruction and regularization for computer tomography Xiao. Index Terms-- Computer tomography, reconstruction, regular- ization, iterative method, Fourier method

Zhang, Xiaoqun

231

E-Print Network [OSTI]

Automatic vehicle location systems are becoming more prevalent in diverse transportation applications. Their ability to locate vehicles can assist in locating emergency and public transit vehicles for better real-time dispatching as well...

Henry, Tracy Lynn

2012-06-07T23:59:59.000Z

232

Gasoline and Diesel Fuel Update (EIA)

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

233

Gasoline and Diesel Fuel Update (EIA)

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

234

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

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

235

Open Energy Info (EERE)

Alternative Fueling Station Locator Alternative Fueling Station Locator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Alternative Fueling Station Locator Agency/Company /Organization: United States Department of Energy Partner: National Renewable Energy Laboratory Sector: Energy Focus Area: Fuels & Efficiency, Transportation Phase: Evaluate Options, Prepare a Plan Topics: Datasets Resource Type: Online calculator User Interface: Website Website: www.afdc.energy.gov/afdc/locator/stations/ Web Application Link: www.afdc.energy.gov/afdc/locator/stations/ Cost: Free OpenEI Keyword(s): Featured References: National Renewable Energy Laboratory Advanced Vehicles and Fuels Research: Data and Resources[1] Logo: Alternative Fueling Station Locator The alternative fuel station locator uses an address based search to find

236

E-Print Network [OSTI]

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

Torgersen, Christian

237

Science Journals Connector (OSTI)

Location-based data is increasingly prevalent with the rapid increase and adoption of mobile devices. In this paper we address the problem of learning spatial density models, focusing specifically on individual-level data. Modeling and predicting a spatial ... Keywords: anomaly/novelty detection, kernel density estimation, probabilistic methods, social media, spatial, user modeling

2014-08-01T23:59:59.000Z

238

Major DOE Biofuels Project Locations Major DOE Biofuels Project Locations Major DOE Biofuels Project Locations More Documents & Publications Major DOE Biofuels Project Locations...

239

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

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

240

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

Locations | National Nuclear Security Administration Locations | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Our Locations Home > About Us > Our Locations Our Locations The NNSA's nuclear security enterprise spans eight sites, including three national laboratories, with more than six decades of cutting-edge nuclear security experience. That history and technical expertise enables NNSA to

Note: This page contains sample records for the topic "method location total" 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

Locations | National Nuclear Security Administration Locations | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Our Locations Home > About Us > Our Locations Our Locations The NNSA's nuclear security enterprise spans eight sites, including three national laboratories, with more than six decades of cutting-edge nuclear security experience. That history and technical expertise enables NNSA to

242

SciTech Connect (OSTI)

A helicopter magnetic survey was conducted in August 2007 over 15.6 sq mi at the Naval Petroleum Reserve No. 3’s (NPR-3) Teapot Dome Field near Casper, Wyoming. The survey’s purpose was to accurately locate wells drilled there during more than 90 years of continuous oilfield operation. The survey was conducted at low altitude and with closely spaced flight lines to improve the detection of wells with weak magnetic response and to increase the resolution of closely spaced wells. The survey was in preparation for a planned CO2 flood for EOR, which requires a complete well inventory with accurate locations for all existing wells. The magnetic survey was intended to locate wells missing from the well database and to provide accurate locations for all wells. The ability of the helicopter magnetic survey to accurately locate wells was accomplished by comparing airborne well picks with well locations from an intense ground search of a small test area.

Veloski, G.A.; Hammack, R.W.; Stamp, V. (Rocky Mountain Oilfield Testing Center); Hall, R. (Rocky Mountain Oilfield Testing Center); Colina, K. (Rocky Mountain Oilfield Testing Center)

2008-07-01T23:59:59.000Z

243

SciTech Connect (OSTI)

The ability to unconditionally verify the location of a communication receiver would lead to a wide range of new security paradigms. However, it is known that unconditional location verification in classical communication systems is impossible. In this work we show how unconditional location verification can be achieved with the use of quantum communication channels. Our verification remains unconditional irrespective of the number of receivers, computational capacity, or any other physical resource held by an adversary. Quantum location verification represents an application of quantum entanglement that delivers a feat not possible in the classical-only channel. It gives us the ability to deliver real-time communications viable only at specified geographical coordinates.

Malaney, Robert A. [School of Electrical Engineering and Telecommunications, University of New South Wales, New South Wales 2052 (Australia)

2010-04-15T23:59:59.000Z

244

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

Rational Surface Locations Measured From Thomson Scattering Into MSTfit by Curtis A. Johnson Senior Thesis (Physics) at the University of Wisconsin-Madison 2014 i Abstract...

245

E-Print Network [OSTI]

We present p-robust models based on two classical facility location problems, ... University, Department of Industrial Engineering and Management Sciences, ...

2004-08-03T23:59:59.000Z

246

E-Print Network [OSTI]

Nov 22, 2014 ... Abstract: In this study we introduce the regenerator location problem in flexible optical networks (RLP-FON). With a given traffic demand, ...

BARIS YILDIZ

2014-11-22T23:59:59.000Z

247

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

Procurement Information by Location Procurement Information by Location Procurement Information by Location As part of our Small Business Opportunity Tool, we are offering information about historical procurement by location. Find historical procurement data by state - check out the list of states below, and click on the state's name to learn more about their current programs and past procurement needs. Click on the state to learn more about our current procurement activity: California Colorado District of Columbia Georgia Idaho Illinois Iowa Louisana Maryland Missouri Nevada New Jersey New Mexico New York Ohio Oklahoma Oregon Pennsylvania South Carolina Tennessee Texas Virginia West Virginia Washington Wyoming

248

E-Print Network [OSTI]

Jan 27, 2013 ... Our results show close collaboration with the p-median solution when decision makers restrict location to demand points, and use parameter ...

Rajan Batta

2013-01-27T23:59:59.000Z

249

Gasoline and Diesel Fuel Update (EIA)

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

250

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

251

E-Print Network [OSTI]

RECYCLING PROGRAM TYPE LOCATION ALLOWED NOT ALLOWED Batteries, toner, ink cartridges & cell phones and recycling is an important part of that effort. Below is a guide to on-campus recycling at RSMAS: Visit http://www.rsmas.miami.edu/msgso/ for map of recycling bin locations. NOTE: This is not an exhaustive list. If unauthorized items are found

Miami, University of

252

E-Print Network [OSTI]

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

Buehrer, R. Michael

253

E-Print Network [OSTI]

Fehler et al. Improved Relative Locations of Clustered Earthquakes 1/26/00 page 1 Improved Relative techniques. Our method differs in that it is #12;Fehler et al. Improved Relative Locations of Clustered that are similar to those obtained by Phillips et al. (1997), from time-consuming precise manual re

254

Open Energy Info (EERE)

UtilityLocation UtilityLocation Jump to: navigation, search Property Name UtilityLocation Property Type Boolean Description Indicates this is the "mailing" location of the Utility. Usually is Yes if the information from EIA Form 861 File1_a is on the page. Pages using the property "UtilityLocation" Showing 25 pages using this property. (previous 25) (next 25) 3 3 Phases Energy Services + true + 4 4-County Electric Power Assn + true + A A & N Electric Coop (Virginia) + true + AEP Generating Company + true + AEP Texas Central Company + true + AEP Texas North Company + true + AES Eastern Energy LP + true + AGC Division of APG Inc + true + AP Holdings LLC + true + APN Starfirst, L.P. + true + APNA Energy + true + Accent Energy Holdings, LLC + true +

255

Open Energy Info (EERE)

Location Location Jump to: navigation, search Property Name Event/Location Property Type String Description The location in which an event will occur. Examples: 'Golden, Colorado' or 'Prestigious Hotel: 11 Rue Leroy, Paris, France'. Pages using the property "Event/Location" Showing 25 pages using this property. (previous 25) (next 25) 1 11th Annual Workshop on Greenhouse Gas Emission Trading + Paris, France + 11th Annual Workshop on Greenhouse Gas Emission Trading Day 2 + Paris, France + 15th International Business Forum: Low Carbon High Growth - Business Models for a Changing Climate + Pretoria, South Africa + 18th Africa Partnership Forum + Paris, France + 2 2012 Bonn Climate Change Conference + Bonn, Germany + 7 7th Asia Clean Energy Forum + Manila, Philippines +

256

Rank Sites by Building Type and Location for Greenhouse Gas Rank Sites by Building Type and Location for Greenhouse Gas Mitigation Rank Sites by Building Type and Location for Greenhouse Gas Mitigation October 7, 2013 - 10:57am Addthis YOU ARE HERE: Step 2 After establishing building locations for greenhouse gas (GHG) mitigation analysis, the next step is to rank sites using the additional factors of eGRID region and climate region. In the Table 1 example below, because Site C and Site D represent the same proportion of Program B's office space (22% each), evaluating eGRID region and climate region will help to prioritize which sites may have a greater potential for GHG reductions. Table 1. Example: Program B Office Location Evaluation Site Name Percent of total Program SF by building type (%) eGRID Climate Region eGRID-Climate Weight1 Location Rank

257

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

38 38 Nevada - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S30. Summary statistics for natural gas - Nevada, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 4 4 4 3 4 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 4 4 4 3 4

258

Gasoline and Diesel Fuel Update (EIA)

4 4 Idaho - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

259

Gasoline and Diesel Fuel Update (EIA)

4 4 Washington - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

260

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

0 0 Maine - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

Note: This page contains sample records for the topic "method location total" 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

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

8 8 Minnesota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

262

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

2 2 South Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

263

Gasoline and Diesel Fuel Update (EIA)

6 6 North Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

264

Gasoline and Diesel Fuel Update (EIA)

0 0 Iowa - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S17. Summary statistics for natural gas - Iowa, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

265

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

4 4 Massachusetts - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

266

Gasoline and Diesel Fuel Update (EIA)

6 6 Minnesota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

267

Gasoline and Diesel Fuel Update (EIA)

0 0 New Jersey - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

268

Gasoline and Diesel Fuel Update (EIA)

0 0 Vermont - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S47. Summary statistics for natural gas - Vermont, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

269

Gasoline and Diesel Fuel Update (EIA)

8 8 Wisconsin - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S51. Summary statistics for natural gas - Wisconsin, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

270

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

8 8 North Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

271

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

2 2 New Jersey - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

272

Gasoline and Diesel Fuel Update (EIA)

0 0 Maryland - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 7 7 7 7 8 Production (million cubic feet) Gross Withdrawals From Gas Wells 35 28 43 43 34 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 35

273

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

0 0 New Hampshire - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S31. Summary statistics for natural gas - New Hampshire, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

274

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

2 2 Maryland - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 7 7 7 8 9 Production (million cubic feet) Gross Withdrawals From Gas Wells 28 43 43 34 44 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 28

275

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

2 2 Missouri - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S27. Summary statistics for natural gas - Missouri, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 53 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

276

Gasoline and Diesel Fuel Update (EIA)

2 2 Massachusetts - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

277

Gasoline and Diesel Fuel Update (EIA)

0 0 South Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

278

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

0 0 Rhode Island - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S41. Summary statistics for natural gas - Rhode Island, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

279

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

Total Energy Use Total Energy Use Compare Activities by ... Total Energy Use Total Major Fuel Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 5.7 quadrillion Btu of all major fuels (electricity, natural gas, fuel oil, and district steam or hot water) in 1999. Office buildings used the most total energy of all the building types, which was not a surprise since they were the most common commercial building type and had an above average energy intensity. Figure showing total major fuel consumption by building type. If you need assistance viewing this page, please call 202-586-8800. Major Fuel Consumption per Building by Building Type Because there were relatively few inpatient health care buildings and they tend to be large, energy intensive buildings, their energy consumption per building was far above that of any other building type.

280

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

Totalview Totalview Totalview Description TotalView from Rogue Wave Software is a parallel debugging tool that can be run with up to 512 processors. It provides both X Windows-based Graphical User Interface (GUI) and command line interface (CLI) environments for debugging. The performance of the GUI can be greatly improved if used in conjunction with free NX software. The TotalView documentation web page is a good resource for learning more about some of the advanced TotalView features. Accessing Totalview at NERSC To use TotalView at NERSC, first load the TotalView modulefile to set the correct environment settings with the following command: % module load totalview Compiling Code to Run with TotalView In order to use TotalView, code must be compiled with the -g option. We

Note: This page contains sample records for the topic "method location total" 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

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

Locations Locations Print | E-mail Page Locations 800.872.8723 Domestic Offices International Offices Locations 800.872.8723 Call: 800.872.8723 (1-800-USA-TRAD(E)) Email: tic@trade.gov between 8:30 AM and 6 PM EST to receive immediate answers to your exporting questions on: Tariff and Tax Information Country-specific General Export Information Region-specific Export Information (Middle East, China, Latin America, EU, etc.) International Documentation, Regulations and Standards Logistics and Finance (HS/Schedule B numbers, Freight Forwarders, partners) Free Trade Agreements (qualifying products for FTA benefits, Certificates of origin.) Trade Data Export-related information offered by federal, state and local entities Export-related information related to other USG agencies Note for Importers: Please contact U.S. Customs at 877.227.5511

282

E-Print Network [OSTI]

Some empirical residential location choice models have reported dwelling-unit price estimated parameters that are small, not statistically significant, or even positive. This would imply that households are non-sensitive ...

Guevara-Cue, Cristián Angelo

2005-01-01T23:59:59.000Z

283

Science Journals Connector (OSTI)

In general, privacy can be viewed as the right to be left alone when desired (solitude), the right to remain anonymous (anonymity), and the right to confidentiality (secrecy of information). More specifically, location privacy is “the ability to ...

John P. Baugh; Jinhua Guo

2006-09-01T23:59:59.000Z

284

Science Journals Connector (OSTI)

As location-based applications become part of our everyday life, ranging from traffic prediction systems to services over mobile phones providing us with information about our surroundings, the call for more semantics and accurate services is emerging. ...

Nectaria Tryfona; Dieter Pfoser

2005-01-01T23:59:59.000Z

285

Locations | National Nuclear Security Administration Locations | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog The National Nuclear Security Administration Russian Locations Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing and Institutional R&D Programs > Russia Tri-Lab S&T Collaborations > Travel

286

Alternative Fueling Station Locator Alternative Fueling Station Locator Alternative Fueling Station Locator Find Stations Plan a Route Location: Go Start: End: Go Fuel: All Fuels Biodiesel (B20 and above) Compressed Natural Gas Electric Ethanol (E85) Hydrogen Liquefied Natural Gas (LNG) Liquefied Petroleum Gas (Propane) more search options close Ă— More Search Options Include private stations Include planned stations Owner All Private Federal State Local Utility Payment All American Express Discover MasterCard VISA Cash Checks CFN Clean Energy Fuel Man Gas Card PHH Services Voyager WEX Electric charger types Include level 1 Include level 2 Include DC fast Include legacy chargers Limit results to within 5 miles Limit results to within 5 miles 12,782 alternative fuel stations in the United States Excluding private stations

287

E-Print Network [OSTI]

to find a gas station nearby, she can issue a keyword query "gas station" to a LBS system, which returns the relevant gas stations by considering the user's location and keywords. Traditional spatial keyword search

Li, Guoliang

288

Science Journals Connector (OSTI)

A set S of vertices of a graph G is a dominating set of G if every vertex u of G is either in S or it has a neighbour in S. In other words, S is dominating if the sets S@?N[u] where u@?V(G) and N[u] denotes the closed neighbourhood of u in G, are all ... Keywords: Circulant network, Domination, Identifying code, Locating code, Locating-dominating set

M. Ghebleh; L. Niepel

2013-09-01T23:59:59.000Z

289

E-Print Network [OSTI]

, xur],[ ybl, yur ]) k k=100 K k k- AminAmin kLk k Amax TmaxTmax kAminLocation Anonymization ConstraintsAmax TmaxLocation Service Quality Constraints 3.3 3.3.1 id, loc, query id loc (x,y)query GPS / l- l- k- l- k l- l l- l- m-invariant 2 29 #12;[22] A B C D E F R1 R2 R3 6 Outlier 6

290

E-Print Network [OSTI]

An approach is proposed to determine the optimal air compressor location in a manufacturing facility. The optimization strategy is based on an objective function that minimizes the total energy consumption of the air compressor -thereby decreasing...

Zahlan, J.; Avci, M.; Asfour, S.

2014-01-01T23:59:59.000Z

291

Science Journals Connector (OSTI)

Residential location of a criminal can be predicted statistically [M. Laukkanen, P. Santtila, Predicting the home location of a serial commercial robber, Forensic Sci. Int. 157 (2006) 71–82]. Examined were: accuracy of the technique for urban burglary series, correlations between way of committing burglary and distance and use of those correlations in enhancing prediction accuracy. Data: 78 residential burglary series from Greater Helsinki area, Finland. Series for which the home location prediction was made was never part of the predicting model. Distances between home and crime-site were short (Mdn 3.88 km; IQR = 1.16–10.10 km). Search area of a perpetrator could be limited to 1.95% (Mdn, IQR = 0.64–18.70%) of the total study area. For series which conformed to Circle Hypothesis (45%), search area was 0.84% (Mdn, IQR = 0.51–2.34%). Correlations between crime features and distance were found to enhance accuracy when features of series hinted short distance: sub-model limited search area to 0.19% (Mdn, IQR = 0.07–0.65%).

Manne Laukkanen; Pekka Santtila; Patrick Jern; Kenneth Sandnabba

2008-01-01T23:59:59.000Z

292

E-Print Network [OSTI]

production and distribution of products can be delayed until actual orders are ... such as hub locations, supplier locations, air freight hub locations, railway station

2014-11-24T23:59:59.000Z

293

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

6 6 Tennessee - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 285 310 230 210 212 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,700 5,478 5,144 4,851 5,825 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

294

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

2 2 Connecticut - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

295

Gasoline and Diesel Fuel Update (EIA)

4 4 Oregon - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 18 21 24 26 24 Production (million cubic feet) Gross Withdrawals From Gas Wells 409 778 821 1,407 1,344 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

296

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

6 6 District of Columbia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

297

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

6 6 Oregon - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 21 24 26 24 27 Production (million cubic feet) Gross Withdrawals From Gas Wells 778 821 1,407 1,344 770 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

298

Gasoline and Diesel Fuel Update (EIA)

8 8 Georgia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

299

Gasoline and Diesel Fuel Update (EIA)

2 2 Delaware - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

300

Gasoline and Diesel Fuel Update (EIA)

4 4 District of Columbia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

Note: This page contains sample records for the topic "method location total" 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

Gasoline and Diesel Fuel Update (EIA)

4 4 Tennessee - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 305 285 310 230 210 Production (million cubic feet) Gross Withdrawals From Gas Wells NA 4,700 5,478 5,144 4,851 From Oil Wells 3,942 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

302

Gasoline and Diesel Fuel Update (EIA)

4 4 Nebraska - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S29. Summary statistics for natural gas - Nebraska, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 186 322 285 276 322 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,331 2,862 2,734 2,092 1,854 From Oil Wells 228 221 182 163 126 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

303

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

0 0 Georgia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

304

Gasoline and Diesel Fuel Update (EIA)

0 0 Connecticut - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

305

Gasoline and Diesel Fuel Update (EIA)

6 6 Florida - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 2,000 2,742 290 13,938 17,129 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

306

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

4 4 Delaware - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

307

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

Shadowband Spectroradiometer SPEC-TOTDN : Shortwave Total Downwelling Spectrometer UAV-EGRETT : UAV-Egrett Value-Added Products VISST : Minnis Cloud Products Using Visst...

308

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

309

Gasoline and Diesel Fuel Update (EIA)

310

Gasoline and Diesel Fuel Update (EIA)

Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to...

311

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

0 0 Indiana - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 525 563 620 914 819 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,701 4,927 6,802 9,075 8,814 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

312

E-Print Network [OSTI]

Total Synthesis of Irciniastatin A (Psymberin) Michael T. Crimmins,* Jason M. Stevens, and Gregory, North Carolina 27599 crimmins@email.unc.edu Received July 21, 2009 ABSTRACT The total synthesis of a hemiaminal and acid chloride to complete the synthesis. In 2004, Pettit and Crews independently reported

313

E-Print Network [OSTI]

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION BERND WITTGENS, RAJAB LITTO, EVA S RENSEN a generalization of previously proposed batch distillation schemes. A simple feedback control strategy for total re verify the simulations. INTRODUCTION Although batch distillation generally is less energy e cient than

314

Open Energy Info (EERE)

Alternative Fueling Station Locations Alternative Fueling Station Locations Dataset Summary Description Alternative fueling stations are located throughout the United States and their availability continues to grow. The Alternative Fuels Data Center (AFDC) maintains a website where you can find alternative fuels stations near you or on a route, obtain counts of alternative fuels stations by state, view U.S. maps, and more. Access up-to-date fuel station data here: http://www.afdc.energy.gov/afdc/data_download The dataset available for download here provides a "snapshot" of the alternative fueling station information for: compressed natural gas (CNG), E85 (85% ethanol, 15% gasoline), propane/liquefied petroleum gas (LPG), biodiesel, electricity, hydrogen, and liquefied natural gas

315

Science Journals Connector (OSTI)

For a graph G that models a facility or a multiprocessor network, detection devices can be placed at the vertices so as to identify the location of an intruder such as a thief or saboteur or a faulty processor. Open neighborhood locating–dominating sets are of interest when the intruder/fault at a vertex precludes its detection at that location. The parameter OLD ( G ) denotes the minimum cardinality of a vertex set S ? V ( G ) such that for each vertex v in V ( G ) its open neighborhood N ( v ) has a unique non-empty intersection with S . For a tree T n of order n we have ? n / 2 ? + 1 ? OLD ( T n ) ? n ? 1 . We characterize the trees that achieve these extremal values.

Suk J. Seo; Peter J. Slater

2011-01-01T23:59:59.000Z

316

SciTech Connect (OSTI)

This procedure describes the methods used to determine the amount of moisture or total solids present in a freeze-dried algal biomass sample, as well as the ash content. A traditional convection oven drying procedure is covered for total solids content, and a dry oxidation method at 575?C is covered for ash content.

Van Wychen, S.; Laurens, L. M. L.

2013-12-01T23:59:59.000Z

317

Science Journals Connector (OSTI)

This paper, proposes an exact algorithm for the problem of locating a pipeline between two points of a network, as well as a set of safety valves which help control the damage caused by possible spills along the pipeline. A labelling approach is developed to determine simultaneously the optimal pipeline and valve locations, with the objective of optimising an impact measure that depends on the average number of accidents and their cost. Computational experiments on grid and random instances are presented in order to evaluate the algorithm's performance and to compare its results to the solutions provided by sequential approaches. [Received 11 May 2010; Revised 10 October 2010; Accepted 21 November 2010

Gilbert Laporte; Marta M.B. Pascoal

2012-01-01T23:59:59.000Z

318

E-Print Network [OSTI]

to determine if any of these factors had any effect on the distributions of control locations. In the final phase of the study McGrath measured response time and errors in locating controls in two cars, one was a 1973 Toyota and the other a 1973 Buick..., Chrysler, and Dodge. Also included were the following far eastern car makes: Toyota, Honda, Mazda, Hyundai, Isuzu, Nissan, and Geo. The automobiles were divided into six groups: 14 1. Foreign-make, small, mid-size, and sports cars. 2. Foreign...

Francis, Dawn Suzette

1990-01-01T23:59:59.000Z

319

Science Journals Connector (OSTI)

Background Little is known about the influence of location of food consumption and preparation upon daily energy intake of children. Objective To examine trends in daily energy intake by children for foods eaten at home or away from home, by source of preparation, and for combined categories of eating location and food source. Subjects The analysis uses data from 29,217 children aged 2 to 18 years from the 1977-1978 Nationwide Food Consumption Survey, 1989-1991 and 1994-1998 Continuing Survey of Food Intakes by Individuals, and 2003-2006 National Health and Nutrition Examination Surveys. Methods Nationally representative weighted percentages and means of daily energy intake by eating location were analyzed for trends from 1977 to 2006. Comparisons by food source were examined from 1994 to 2006. Analyses were repeated for three age groups: 2 to 6 years, 7 to 12 years, and 13 to 18 years. Difference testing was conducted using a t test. Results Increased energy intake (+179 kcal/day) by children from 1977-2006 was associated with a major increase in energy eaten away from home (+255 kcal/day). The percentage of daily energy eaten away from home increased from 23.4% to 33.9% from 1977-2006. No further increase was observed from 1994-2006, but the sources of energy shifted. The percentage of energy from fast food increased to surpass intake from schools and become the largest contributor to foods prepared away from home for all age groups. For foods eaten away from home, the percentage of daily energy from stores increased to become the largest source of energy eaten away from home. Fast food eaten at home and store-bought food eaten away from home increased significantly. Conclusions Eating location and food source significantly influence daily energy intake for children. Foods prepared away from home, including fast food eaten at home and store-prepared food eaten away from home, are fueling the increase in total energy intake. However, further research using alternative data sources is necessary to verify that store-bought foods eaten away from home are increasingly store-prepared.

Jennifer M. Poti; Barry M. Popkin

2011-01-01T23:59:59.000Z

320

E-Print Network [OSTI]

Rack Locations (24) Hatch and Berthing Mechanism Endcone Airflow and Plumbing Crossover Corner requirements of 24 equipment racks. Approximately half of these are for accommodation and control of ISS ) Width 4.3 m diameter (14 ft) Mass 14,515 kg (32,000 lb) 24,023 kg (52,962 lb) with all racks

Note: This page contains sample records for the topic "method location total" 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

E-Print Network [OSTI]

Transportation Networks and Location A Geometric Approach BelĂ©n Palop1,2 1Departamento de March 2009 Florida State University #12;BelĂ©n Palop, UVa, SUNY Outline Transportation Network Model;Transportation Network Model BelĂ©n Palop, UVa, SUNY Outline Transportation Network Model Network placement

322

E-Print Network [OSTI]

Forecasting the Locational Dynamics of Transnational Terrorism: A Network Analytic Approach Bruce A-0406 Fax: (919) 962-0432 Email: skyler@unc.edu Abstract--Efforts to combat and prevent transnational terror of terrorism. We construct the network of transnational terrorist attacks, in which source (sender) and target

Massachusetts at Amherst, University of

323

E-Print Network [OSTI]

Recycling Bin Guide Locations and prices Metal Bins Deskside Bins with Side Saddle Rubbermaid Bins.58 for auxiliaries. And Non-Public Areas Public Offices Non-Public Recyclables Recyclables RecyclablesTrash Trash Trash #12;New Recycling Bin Guidelines Frequently Asked Questions (as of December 2008) Â· Why

Kirschner, Denise

324

E-Print Network [OSTI]

wolfson@cs.uic.edu #12;2 Location based services Examples: Where closest gas station? How do I get there;13 Applications-- Summary Â· Geographic resource discovery-- e.g. "Closest gas station" Â· Digital Battlefield/trigger examples: Â· During the past year, how many times was bus#5 late by more than 10 minutes at station 20

Wolfson, Ouri E.

325

Science Journals Connector (OSTI)

In this paper, we present a system that allows therapists to assess and engage patients' in activities triggered by specific stressing contexts. The system is composed by: 1) a web application that the therapist uses to specify the activities and its ... Keywords: location based services, physiological recording, therapy

Luís Carriço; Marco de Sá; Luís Duarte; Tiago Antunes

2012-03-01T23:59:59.000Z

326

E-Print Network [OSTI]

plane method in the two-stage facility location problem and power system scheduling ... (ii) Because of the modeling advantages of two-stage RO, we consider real ...... Robust Unit Commitment Problem with Demand Response and Wind.

2012-12-18T23:59:59.000Z

327

Science Journals Connector (OSTI)

The paper considers the methods of measuring solar radiation and analyzes the long-term data obtained by actinometric measurements of solar radiation at the location of the LSF with a thermal capacity of 1000 kW ...

A. A. Abdurakhmanov; Yu. B. Sobirov; M. S. Paizullakhonov…

2012-07-01T23:59:59.000Z

328

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

8 8 Illinois - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 45 51 50 40 40 Production (million cubic feet) Gross Withdrawals From Gas Wells E 1,188 E 1,438 E 1,697 2,114 2,125 From Oil Wells E 5 E 5 E 5 7 0 From Coalbed Wells E 0 E 0 0 0 0 From Shale Gas Wells 0

329

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

50 50 North Dakota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 194 196 188 239 211 Production (million cubic feet) Gross Withdrawals From Gas Wells 13,738 11,263 10,501 14,287 22,261 From Oil Wells 54,896 45,776 38,306 27,739 17,434 From Coalbed Wells 0

330

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

0 0 Mississippi - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 2,343 2,320 1,979 5,732 1,669 Production (million cubic feet) Gross Withdrawals From Gas Wells 331,673 337,168 387,026 429,829 404,457 From Oil Wells 7,542 8,934 8,714 8,159 43,421 From Coalbed Wells 7,250

331

Gasoline and Diesel Fuel Update (EIA)

2 2 Virginia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 5,735 6,426 7,303 7,470 7,903 Production (million cubic feet) Gross Withdrawals From Gas Wells R 6,681 R 7,419 R 16,046 R 23,086 20,375 From Oil Wells 0 0 0 0 0 From Coalbed Wells R 86,275 R 101,567

332

Gasoline and Diesel Fuel Update (EIA)

4 4 Michigan - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S24. Summary statistics for natural gas - Michigan, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 9,712 9,995 10,600 10,100 11,100 Production (million cubic feet) Gross Withdrawals From Gas Wells R 80,090 R 16,959 R 20,867 R 7,345 18,470 From Oil Wells 54,114 10,716 12,919 9,453 11,620 From Coalbed Wells 0

333

Gasoline and Diesel Fuel Update (EIA)

2 2 Montana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,925 7,095 7,031 6,059 6,477 Production (million cubic feet) Gross Withdrawals From Gas Wells R 69,741 R 67,399 R 57,396 R 51,117 37,937 From Oil Wells 23,092 22,995 21,522 19,292 21,777 From Coalbed Wells

334

Gasoline and Diesel Fuel Update (EIA)

8 8 Mississippi - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,315 2,343 2,320 1,979 5,732 Production (million cubic feet) Gross Withdrawals From Gas Wells R 259,001 R 331,673 R 337,168 R 387,026 429,829 From Oil Wells 6,203 7,542 8,934 8,714 8,159 From Coalbed Wells

335

Gasoline and Diesel Fuel Update (EIA)

8 8 Indiana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,350 525 563 620 914 Production (million cubic feet) Gross Withdrawals From Gas Wells 3,606 4,701 4,927 6,802 9,075 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

336

Gasoline and Diesel Fuel Update (EIA)

4 4 New York - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,680 6,675 6,628 6,736 6,157 Production (million cubic feet) Gross Withdrawals From Gas Wells 54,232 49,607 44,273 35,163 30,495 From Oil Wells 710 714 576 650 629 From Coalbed Wells 0

337

Gasoline and Diesel Fuel Update (EIA)

6 6 Texas - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 76,436 87,556 93,507 95,014 100,966 Production (million cubic feet) Gross Withdrawals From Gas Wells R 4,992,042 R 5,285,458 R 4,860,377 R 4,441,188 3,794,952 From Oil Wells 704,092 745,587 774,821 849,560 1,073,301

338

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

2 2 Ohio - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 34,416 34,963 34,931 46,717 35,104 Production (million cubic feet) Gross Withdrawals From Gas Wells 79,769 83,511 73,459 30,655 65,025 From Oil Wells 5,072 5,301 4,651 45,663 6,684 From Coalbed Wells 0

339

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

0 0 Colorado - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 25,716 27,021 28,813 30,101 32,000 Production (million cubic feet) Gross Withdrawals From Gas Wells 496,374 459,509 526,077 563,750 1,036,572 From Oil Wells 199,725 327,619 338,565

340

Gasoline and Diesel Fuel Update (EIA)

2 2 South Dakota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S43. Summary statistics for natural gas - South Dakota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 71 71 89 102 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 422 R 1,098 R 1,561 1,300 933 From Oil Wells 11,458 10,909 11,366 11,240 11,516 From Coalbed Wells 0 0

Note: This page contains sample records for the topic "method location total" 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

Gasoline and Diesel Fuel Update (EIA)

6 6 Illinois - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 43 45 51 50 40 Production (million cubic feet) Gross Withdrawals From Gas Wells RE 1,389 RE 1,188 RE 1,438 RE 1,697 2,114 From Oil Wells E 5 E 5 E 5 E 5 7 From Coalbed Wells RE 0 RE

342

Gasoline and Diesel Fuel Update (EIA)

8 8 Colorado - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 22,949 25,716 27,021 28,813 30,101 Production (million cubic feet) Gross Withdrawals From Gas Wells R 436,330 R 496,374 R 459,509 R 526,077 563,750 From Oil Wells 160,833 199,725 327,619

343

Gasoline and Diesel Fuel Update (EIA)

0 0 Alaska - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 239 261 261 269 277 Production (million cubic feet) Gross Withdrawals From Gas Wells 165,624 150,483 137,639 127,417 112,268 From Oil Wells 3,313,666 3,265,401 3,174,747 3,069,683 3,050,654

344

Gasoline and Diesel Fuel Update (EIA)

0 0 Ohio - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 34,416 34,416 34,963 34,931 46,717 Production (million cubic feet) Gross Withdrawals From Gas Wells R 82,812 R 79,769 R 83,511 R 73,459 30,655 From Oil Wells 5,268 5,072 5,301 4,651 45,663 From Coalbed Wells

345

Gasoline and Diesel Fuel Update (EIA)

4 4 Kentucky - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S19. Summary statistics for natural gas - Kentucky, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 16,563 16,290 17,152 17,670 14,632 Production (million cubic feet) Gross Withdrawals From Gas Wells 95,437 R 112,587 R 111,782 133,521 122,578 From Oil Wells 0 1,529 1,518 1,809 1,665 From Coalbed Wells 0

346

Gasoline and Diesel Fuel Update (EIA)

8 8 Utah - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 5,197 5,578 5,774 6,075 6,469 Production (million cubic feet) Gross Withdrawals From Gas Wells R 271,890 R 331,143 R 340,224 R 328,135 351,168 From Oil Wells 35,104 36,056 36,795 42,526 49,947 From Coalbed Wells

347

Gasoline and Diesel Fuel Update (EIA)

6 6 California - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S5. Summary statistics for natural gas - California, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 1,540 1,645 1,643 1,580 1,308 Production (million cubic feet) Gross Withdrawals From Gas Wells 93,249 91,460 82,288 73,017 63,902 From Oil Wells R 116,652 R 122,345 R 121,949 R 151,369 120,880

348

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

0 0 Utah - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 5,578 5,774 6,075 6,469 6,900 Production (million cubic feet) Gross Withdrawals From Gas Wells 331,143 340,224 328,135 351,168 402,899 From Oil Wells 36,056 36,795 42,526 49,947 31,440 From Coalbed Wells 74,399

349

Gasoline and Diesel Fuel Update (EIA)

6 6 Louisiana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 18,145 19,213 18,860 19,137 21,235 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,261,539 R 1,288,559 R 1,100,007 R 911,967 883,712 From Oil Wells 106,303 61,663 58,037 63,638 68,505

350

Gasoline and Diesel Fuel Update (EIA)

2 2 Oklahoma - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 38,364 41,921 43,600 44,000 41,238 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,583,356 R 1,452,148 R 1,413,759 R 1,140,111 1,281,794 From Oil Wells 35,186 153,227 92,467 210,492 104,703

351

Gasoline and Diesel Fuel Update (EIA)

2 2 New Mexico - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 42,644 44,241 44,784 44,748 32,302 Production (million cubic feet) Gross Withdrawals From Gas Wells R 657,593 R 732,483 R 682,334 R 616,134 556,024 From Oil Wells 227,352 211,496 223,493 238,580 252,326

352

Gasoline and Diesel Fuel Update (EIA)

6 6 West Virginia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S50. Summary statistics for natural gas - West Virginia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 48,215 49,364 50,602 52,498 56,813 Production (million cubic feet) Gross Withdrawals From Gas Wells R 189,968 R 191,444 R 192,896 R 151,401 167,113 From Oil Wells 701 0 0 0 0 From Coalbed Wells

353

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

6 6 Michigan - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S24. Summary statistics for natural gas - Michigan, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 9,995 10,600 10,100 11,100 10,900 Production (million cubic feet) Gross Withdrawals From Gas Wells 16,959 20,867 7,345 18,470 17,041 From Oil Wells 10,716 12,919 9,453 11,620 4,470 From Coalbed Wells 0

354

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

8 8 West Virginia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S50. Summary statistics for natural gas - West Virginia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 49,364 50,602 52,498 56,813 50,700 Production (million cubic feet) Gross Withdrawals From Gas Wells 191,444 192,896 151,401 167,113 397,313 From Oil Wells 0 0 0 0 1,477 From Coalbed Wells 0

355

Gasoline and Diesel Fuel Update (EIA)

80 80 Wyoming - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S52. Summary statistics for natural gas - Wyoming, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 27,350 28,969 25,710 26,124 26,180 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,649,284 R 1,764,084 R 1,806,807 R 1,787,599 1,709,218 From Oil Wells 159,039 156,133 135,269 151,871 152,589

356

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

6 6 New York - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,675 6,628 6,736 6,157 7,176 Production (million cubic feet) Gross Withdrawals From Gas Wells 49,607 44,273 35,163 30,495 25,985 From Oil Wells 714 576 650 629 439 From Coalbed Wells 0

357

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

2 2 Wyoming - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S52. Summary statistics for natural gas - Wyoming, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 28,969 25,710 26,124 26,180 22,171 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,764,084 1,806,807 1,787,599 1,709,218 1,762,095 From Oil Wells 156,133 135,269 151,871 152,589 24,544

358

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

4 4 Virginia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,426 7,303 7,470 7,903 7,843 Production (million cubic feet) Gross Withdrawals From Gas Wells 7,419 16,046 23,086 20,375 21,802 From Oil Wells 0 0 0 0 9 From Coalbed Wells 101,567 106,408

359

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

6 6 Kentucky - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S19. Summary statistics for natural gas - Kentucky, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 16,290 17,152 17,670 14,632 17,936 Production (million cubic feet) Gross Withdrawals From Gas Wells 112,587 111,782 133,521 122,578 106,122 From Oil Wells 1,529 1,518 1,809 1,665 0 From Coalbed Wells 0

360

Gasoline and Diesel Fuel Update (EIA)

6 6 Pennsylvania - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S40. Summary statistics for natural gas - Pennsylvania, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 52,700 55,631 57,356 44,500 54,347 Production (million cubic feet) Gross Withdrawals From Gas Wells 182,277 R 188,538 R 184,795 R 173,450 242,305 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0

Note: This page contains sample records for the topic "method location total" 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

E-Print Network [OSTI]

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

Ondrus, Alison Evelynn, 1981-

2009-01-01T23:59:59.000Z

362

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

363

E-Print Network [OSTI]

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

Kay, Mark A.

364

E-Print Network [OSTI]

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

365

E-Print Network [OSTI]

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

366

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

8 8 Texas - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 87,556 93,507 95,014 100,966 96,617 Production (million cubic feet) Gross Withdrawals From Gas Wells 5,285,458 4,860,377 4,441,188 3,794,952 3,619,901 From Oil Wells 745,587 774,821 849,560 1,073,301 860,675

367

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

0 0 Alabama - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,860 6,913 7,026 7,063 6,327 Production (million cubic feet) Gross Withdrawals From Gas Wells 158,964 142,509 131,448 116,872 114,407 From Oil Wells 6,368 5,758 6,195 5,975 10,978

368

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

8 8 Louisiana - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 19,213 18,860 19,137 21,235 19,792 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,288,559 1,100,007 911,967 883,712 775,506 From Oil Wells 61,663 58,037 63,638 68,505 49,380

369

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

4 4 South Dakota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S43. Summary statistics for natural gas - South Dakota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 71 89 102 100 95 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,098 1,561 1,300 933 14,396 From Oil Wells 10,909 11,366 11,240 11,516 689 From Coalbed Wells 0 0 0 0 0

370

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

4 4 Kansas - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S18. Summary statistics for natural gas - Kansas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 17,862 21,243 22,145 25,758 24,697 Production (million cubic feet) Gross Withdrawals From Gas Wells 286,210 269,086 247,651 236,834 264,610 From Oil Wells 45,038 42,647 39,071 37,194 0 From Coalbed Wells 44,066

371

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

6 6 Arkansas - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S4. Summary statistics for natural gas - Arkansas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 5,592 6,314 7,397 8,388 8,538 Production (million cubic feet) Gross Withdrawals From Gas Wells 173,975 164,316 152,108 132,230 121,684 From Oil Wells 7,378 5,743 5,691 9,291 3,000

372

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

8 8 California - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S5. Summary statistics for natural gas - California, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 1,645 1,643 1,580 1,308 1,423 Production (million cubic feet) Gross Withdrawals From Gas Wells 91,460 82,288 73,017 63,902 120,579 From Oil Wells 122,345 121,949 151,369 120,880 70,900

373

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

4 4 Oklahoma - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 41,921 43,600 44,000 41,238 40,000 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,452,148 1,413,759 1,140,111 1,281,794 1,394,859 From Oil Wells 153,227 92,467 210,492 104,703 53,720

374

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

2 2 Alaska - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 261 261 269 277 185 Production (million cubic feet) Gross Withdrawals From Gas Wells 150,483 137,639 127,417 112,268 107,873 From Oil Wells 3,265,401 3,174,747 3,069,683 3,050,654 3,056,918

375

E-Print Network [OSTI]

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

Magee, Joseph W.

376

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

California California Livermore, California administration building Our location and hours of operation Sandia/California is located at 7011 East Avenue in Livermore, Calif., a suburban community about 45 miles east of San Francisco. Positioned at the eastern edge of the San Francisco Bay Area, Sandia is within easy commuting distance of many affordable housing communities in San Joaquin County and the Central Valley. The official hours of operation at Sandia/California are from 7:30 a.m. to 4 p.m. PST, Monday through Friday. General inquiries can be made by calling (925) 294-3000. See our contacts page for additional information. Getting here All three major airports in the San Francisco Bay Area provide access to Sandia/California. Oakland International Airport is the closest airport to

377

Science Journals Connector (OSTI)

Assume that G = ( V , E ) is a simple undirected graph, and C is a nonempty subset of V . For every v ? V , we define I r ( v ) = { u ? C ? d G ( u , v ) ? r } , where d G ( u , v ) denotes the number of edges on any shortest path between u and v . If the sets I r ( v ) for v ? C are pairwise different, and none of them is the empty set, we say that C is an r -locating–dominating set in G . It is shown that the smallest 2-locating–dominating set in a path with n vertices has cardinality ? ( n + 1 ) / 3 ? , which coincides with the lower bound proved earlier by Bertrand, Charon, Hudry and Lobstein. Moreover, we give a general upper bound which improves a result of Bertrand, Charon, Hudry and Lobstein.

Iiro Honkala

2009-01-01T23:59:59.000Z

378

E-Print Network [OSTI]

_____Female What is your total annual household income (include your spouse or partner if relevant)? (mark of the following best describes your race/ethnicity? (Mark an X next to all that apply) White (non- Hispanic) Black/African- American (non- Hispanic Hispanic/ Latino Asian and Pacific Islander (includes Chinese, Korean, other) Multi

379

E-Print Network [OSTI]

measured at the power substation during a single phase to ground fault clearance [17] .............................................. 111 Figure 26 Analyzed signal using wavelet transform from phase B current during a fault [17..., but are not limited to, substation and feeder relay, intelligent controllers for capacitor bank switches or reclosers, Automatic Meter Reading (AMR) systems installed at the customer sites, power quality meters installed at strategic locations in the system, low...

Lotfifard, Saeed

2012-10-19T23:59:59.000Z

380

DOE Patents [OSTI]

A method of retrieving liquid from a below-ground collection area by permitting gravity flow of the liquid from the collection area to a first closed container; monitoring the level of the liquid in the closed container; and after the liquid reaches a given level in the first closed container, transferring the liquid to a second closed container disposed at a location above the first closed container, via a conduit, by introducing into the first closed container a gas which is substantially chemically inert with respect to the liquid, the gas being at a pressure sufficient to propel the liquid from the first closed container to the second closed container.

Phillips, Steven J. (Kennewick, WA); Alexander, Robert G. (Kennewick, WA)

1995-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "method location total" 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

E-Print Network [OSTI]

of t hos differ', ness;;~ be resolved by acvutcemsnt of principles u;m ettich sgreeitent t. y be reached and satisfactory decisions tede. Methods have bem est!d lished for tho ev&uat, ion of the desi&~ li!stations~ construction am. rifht oi ea; cout... to Groups 1 and 2 but located such that the freeway could not influence their value. 4n analysis was made of all sales within the chosen areas for three time intervals, each being 2 years in lengthx and spread to give two time periods of study of 5 years...

Case, Henry Orlando

2012-06-07T23:59:59.000Z

382

Open Energy Info (EERE)

Truckstop Electrification Locator Truckstop Electrification Locator Jump to: navigation, search Tool Summary Name: Truckstop Electrification Locator Agency/Company /Organization: United States Department of Energy Phase: "Evaluate Options and Determine Feasibility" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property., "Perpare a Plan" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property., "Implement the Plan" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property.

383

Science Journals Connector (OSTI)

Abstract A set S of vertices of a graph G is a dominating set of G if every vertex u of G is either in S or it has a neighbour in  S . In other words, S is dominating if the sets S ? N [ u ] where u ? V ( G ) and N [ u ] denotes the closed neighbourhood of u in G , are all nonempty. A set S ? V ( G ) is called a locating code in G , if the sets S ? N [ u ] where u ? V ( G ) ? S are all nonempty and distinct. A set S ? V ( G ) is called an identifying code in G , if the sets S ? N [ u ] where u ? V ( G ) are all nonempty and distinct. We study locating and identifying codes in the circulant networks  C n ( 1 , 3 ) . For an integer n ? 7 , the graph C n ( 1 , 3 ) has vertex set Z n and edges x y where x , y ? Z n and | x ? y | ? { 1 , 3 } . We prove that a smallest locating code in C n ( 1 , 3 ) has size ? n / 3 ? + c , where c ? { 0 , 1 } , and a smallest identifying code in C n ( 1 , 3 ) has size ? 4 n / 11 ? + c ? , where c ? ? { 0 , 1 } .

M. Ghebleh; L. Niepel

2013-01-01T23:59:59.000Z

384

E-Print Network [OSTI]

padding, Hankel total least squares (HTLS) and wavelet methods were compared in the analyses. MP method

385

Gasoline and Diesel Fuel Update (EIA)

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

386

Open Energy Info (EERE)

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

387

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

govMeasurementsNet broadband total irradiance govMeasurementsNet broadband total irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Net broadband total irradiance The difference between upwelling and downwelling, covering longwave and shortwave radiation. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments EBBR : Energy Balance Bowen Ratio Station SEBS : Surface Energy Balance System External Instruments ECMWF : European Centre for Medium Range Weather Forecasts Model

388

SciTech Connect (OSTI)

The Pacific Northwest National Laboratory researchers used a computational fluid dynamics (CFD) computer code to evaluate the mixing at a sampling system location of a research and development facility. The facility requires continuous sampling for radioactive air emissions. Researchers sought to determine whether the location would meet the criteria for uniform air velocity and contaminant concentration as prescribed in the American National Standard Institute (ANSI) standard, Sampling and Monitoring Releases of Airborne Radioactive Substances from the Stacks and Ducts of Nuclear Facilities. Standard ANSI/HPS N13.1-1999 requires that the sampling location be well-mixed and stipulates specific tests (e.g., velocity, gas, and aerosol uniformity and cyclonic flow angle) to verify the extent of mixing.. The exhaust system for the Radiochemical Processing Laboratory was modeled with a CFD code to better understand the flow and contaminant mixing and to predict mixing test results. The CFD results were compared to actual measurements made at a scale-model stack and to the limited data set for the full-scale facility stack. Results indicated that the CFD code provides reasonably conservative predictions for velocity, gas, and aerosol uniformity. Cyclonic flow predicted by the code is less than that measured by the required methods. In expanding from small to full scale, the CFD predictions for full-scale measurements show similar trends as in the scale model and no unusual effects. This work indicates that a CFD code can be a cost-effective aid in design or retrofit of a facility’s stack sampling location that will be required to meet Standard ANSI/HPS N13.1-1999.

Recknagle, Kurtis P.; Yokuda, Satoru T.; Ballinger, Marcel Y.; Barnett, J. M.

2009-02-01T23:59:59.000Z

389

E-Print Network [OSTI]

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

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

1994-10-19T23:59:59.000Z

390

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

391

SciTech Connect (OSTI)

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

Gaudreault, F.

2005-09-06T23:59:59.000Z

392

E-Print Network [OSTI]

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

393

E-Print Network [OSTI]

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

Scafetta, Nicola

394

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Hydrogen Hydrogen Printable Version Share this resource Send a link to Alternative Fuels Data Center: Hydrogen Fueling Station Locations to someone by E-mail Share Alternative Fuels Data Center: Hydrogen Fueling Station Locations on Facebook Tweet about Alternative Fuels Data Center: Hydrogen Fueling Station Locations on Twitter Bookmark Alternative Fuels Data Center: Hydrogen Fueling Station Locations on Google Bookmark Alternative Fuels Data Center: Hydrogen Fueling Station Locations on Delicious Rank Alternative Fuels Data Center: Hydrogen Fueling Station Locations on Digg Find More places to share Alternative Fuels Data Center: Hydrogen Fueling Station Locations on AddThis.com... More in this section... Hydrogen Basics Benefits & Considerations Stations Locations

395

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Propane Propane Printable Version Share this resource Send a link to Alternative Fuels Data Center: Propane Fueling Station Locations to someone by E-mail Share Alternative Fuels Data Center: Propane Fueling Station Locations on Facebook Tweet about Alternative Fuels Data Center: Propane Fueling Station Locations on Twitter Bookmark Alternative Fuels Data Center: Propane Fueling Station Locations on Google Bookmark Alternative Fuels Data Center: Propane Fueling Station Locations on Delicious Rank Alternative Fuels Data Center: Propane Fueling Station Locations on Digg Find More places to share Alternative Fuels Data Center: Propane Fueling Station Locations on AddThis.com... More in this section... Propane Basics Benefits & Considerations Stations Locations Infrastructure Development

396

Major DOE Biofuels Project Locations More Documents & Publications Major DOE Biofuels Project Locations Slide 1 The Current State of Technology for Cellulosic Ethanol...

397

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

Locate Stations Printable Version Share this resource Send a link to Alternative Fuels Data Center: Alternative Fueling Station Locator to someone by E-mail Share Alternative Fuels...

398

Energy Savers [EERE]

- New Reports and Reports With New Reporting Folder Location More Documents & Publications PARSII - New Reports and Reports With New Reporting Folder Location Slide 1 Slide 1...

399

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Electric Vehicle Electric Vehicle Charging Station Locations to someone by E-mail Share Alternative Fuels Data Center: Electric Vehicle Charging Station Locations on Facebook Tweet about Alternative Fuels Data Center: Electric Vehicle Charging Station Locations on Twitter Bookmark Alternative Fuels Data Center: Electric Vehicle Charging Station Locations on Google Bookmark Alternative Fuels Data Center: Electric Vehicle Charging Station Locations on Delicious Rank Alternative Fuels Data Center: Electric Vehicle Charging Station Locations on Digg Find More places to share Alternative Fuels Data Center: Electric Vehicle Charging Station Locations on AddThis.com... More in this section... Electricity Basics Benefits & Considerations Stations Locations Infrastructure Development

400

E-Print Network [OSTI]

A modified D-matrix retrieval method is the basis of the refined total integrated water vapor (TIWV), total integrated cloud liquid water (CLW), and surface wind speed (WS) retrieval methods that are developed. The 85 GHZ polarization difference...

Manning, Norman Willis William

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "method location total" 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

2: Mozilla Firefox 'window.location' Bugs Permit Cross-Site 2: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting Attacks and May Let Remote Users Execute Arbitrary Code V-012: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting Attacks and May Let Remote Users Execute Arbitrary Code October 29, 2012 - 6:00am Addthis PROBLEM: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting Attacks and May Let Remote Users Execute Arbitrary Code PLATFORM: Firefox, Thunderbird, SeaMonkey ABSTRACT: Three vulnerabilities were reported in Mozilla Firefox. REFERENCE LINKS: Mozilla Foundation Security Advisory 2012-90 SecurityTracker Alert ID: 1027701 SecurityTracker Alert ID: 1027702 Advisory: RHSA-2012:1407-1 CVE-2012-4194 CVE-2012-4195 CVE-2012-4196 IMPACT ASSESSMENT: High DISCUSSION: A remote user can exploit the valueOf() method of window.location to, in

402

2: Mozilla Firefox 'window.location' Bugs Permit Cross-Site 2: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting Attacks and May Let Remote Users Execute Arbitrary Code V-012: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting Attacks and May Let Remote Users Execute Arbitrary Code October 29, 2012 - 6:00am Addthis PROBLEM: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting Attacks and May Let Remote Users Execute Arbitrary Code PLATFORM: Firefox, Thunderbird, SeaMonkey ABSTRACT: Three vulnerabilities were reported in Mozilla Firefox. REFERENCE LINKS: Mozilla Foundation Security Advisory 2012-90 SecurityTracker Alert ID: 1027701 SecurityTracker Alert ID: 1027702 Advisory: RHSA-2012:1407-1 CVE-2012-4194 CVE-2012-4195 CVE-2012-4196 IMPACT ASSESSMENT: High DISCUSSION: A remote user can exploit the valueOf() method of window.location to, in

403

Number: Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 $2,550,203 FY2009$39,646,446 FY2010 $64,874,187 FY2011$66,253,207 FY2012 $41,492,503 FY2013$0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Earned $214,816,546 Fee Available$2,550,203 Minimum Fee $77,931,569$69,660,249 Savannah River Nuclear Solutions LLC $458,687,779$0 Maximum Fee Fee Information $88,851,963 EM Contractor Fee Site: Savannah River Site Office, Aiken, SC Contract Name: Management & Operating Contract September 2013 DE-AC09-08SR22470 404 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) downwelling irradiance downwelling irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Shortwave broadband total downwelling irradiance The total diffuse and direct radiant energy that comes from some continuous range of directions, at wavelengths between 0.4 and 4 {mu}m, that is being emitted downwards. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments AMC : Ameriflux Measurement Component BSRN : Baseline Solar Radiation Network 405 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Tropical Africa: Total Forest Biomass (By Country) Tropical Africa: Total Forest Biomass (By Country) image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNL/CDIAC-92, NDP-055. Carbon Dioxide Information Analysis Center, U.S. Department of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. More Maps Calculated Actual Aboveground Live Biomass in Forests (1980) Maximum Potential Biomass Density Land Use (1980) Area of Closed Forests (By Country) Mean Biomass of Closed Forests (By County) Area of Open Forests (By Country) Mean Biomass of Open Forests (By County) Percent Forest Cover (By Country) Population Density - 1990 (By Administrative Unit) Population Density - 1980 (By Administrative Unit) Population Density - 1970 (By Administrative Unit) 406 DOE Patents [OSTI] A frustrated total internal reflection acoustic field sensor which allows the acquisition of the acoustic field over an entire plane, all at once. The sensor finds use in acoustic holography and acoustic diffraction tomography. For example, the sensor may be produced by a transparent plate with transparent support members tall enough to support one or more flexible membranes at an appropriate height for frustrated total internal reflection to occur. An acoustic wave causes the membrane to deflect away from its quiescent position and thus changes the amount of light that tunnels through the gap formed by the support members and into the membrane, and so changes the amount of light reflected by the membrane. The sensor(s) is illuminated by a uniform tight field, and the reflection from the sensor yields acoustic wave amplitude and phase information which can be picked up electronically or otherwise. Kallman, Jeffrey S. (Pleasanton, CA) 2000-01-01T23:59:59.000Z 407 SciTech Connect (OSTI) This paper's main result is an O(({radical}{bar m}lgm)(n lg n) + mlg n)-time algorithm for computing the kth smallest entry in each row of an m {times} n totally monotone array. (A two-dimensional A = a(i,j) is totally monotone if for all i{sub 1} < i{sub 2} and j{sub 1} < j{sup 2}, < a(i{sub 1},j{sub 2}) implies a(i{sub 2},j{sub 1})). For large values of k (in particular, for k=(n/2)), this algorithm is significantly faster than the O(k(m+n))-time algorithm for the same problem due to Kravets and Park. An immediate consequence of this result is an O(n{sup 3/2} lg{sup 2}n)-time algorithm for computing the kth nearest neighbor of each vertex of a convex n-gon. In addition to the main result, we also give an O(n lg m)-time algorithm for computing an approximate median in each row of an m {times} n totally monotone array; this approximate median is an entry whose rank in its row lies between (n/4) and (3n/4) {minus} 1. 20 refs., 3 figs. Mansour, Y. (Harvard Univ., Cambridge, MA (United States). Aiken Computation Lab.); Park, J.K. (Sandia National Labs., Albuquerque, NM (United States)); Schieber, B. (International Business Machines Corp., Yorktown Heights, NY (United States). Thomas J. Watson Research Center); Sen, S. (AT and T Bell Labs., Murray Hill, NJ (United States)) 1991-01-01T23:59:59.000Z 408 Science Journals Connector (OSTI) Abstract Electromagnetic radiations emanating from the high voltage lines and substations pose serious adverse health consequences to living beings. As a result, selection of power substation location is an important strategic decision-making problem for both public and private sectors. In general, many conflicting factors affect the appropriate substation location selection problem which adheres to uncertain and imprecise data. In this paper, a simple, systematic and logical scientific approach is structured to evaluate power substation location through integrating Fuzzy Analytical Hierarchy Process (FAHP) with the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). The proposed integrated approach provides more realistic and reliable results, and facilitates the decision-maker to handle multiple contradictory decision perspectives through eliminating the limitations of FAHP and PROMETHEE methods. To accredit the proposed model, it is implemented in a power substation location selection problem in Bangladesh. Golam Kabir; Razia Sultana Sumi 2014-01-01T23:59:59.000Z 409 E-Print Network [OSTI] Instrument Grant Location CCSR 21XX Location CCSR 12XX Location SIM-1 BD FACSCalibur flow cytometer-2 laser/4 color Grant S-348A none none none BD FACScan flow cytometer 1 laser/3 color none CCSR 2121 none none Beckman Spectrophotometer(3) Grant S-348 CCSR 2122 CCSR 1210 none Chemilluminescence and Gel Kay, Mark A. 410 E-Print Network [OSTI] Locating a Recycling Center: The General Density Case Jannett Highfill Department of Economics) 677-3374. #12;2 Locating a Recycling Center: The General Density Case Abstract: The present paper considers a municipality that has a landfill (fixed in location) and plans to optimally locate a "recycling Mou, Libin 411 Broader source: Energy.gov (indexed) [DOE] Other Location Other Location Categorical Exclusion Determinations: Other Location Location Categorical Exclusion Determinations issued for actions in other locations. DOCUMENTS AVAILABLE FOR DOWNLOAD September 28, 2011 CX-006938: Categorical Exclusion Determination Developing Lithium-Ion Cells for Electric Vehicle Batteries CX(s) Applied: B3.6 Date: 09/28/2011 Location(s): Daejeon, South Korea, Other Location Office(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office September 28, 2011 CX-006922: Categorical Exclusion Determination Amerigon Waste Heat Recovery Program for Passenger Vehicles CX(s) Applied: A9, B3.6 Date: 09/28/2011 Location(s): Germany, California, Indiana, Michigan Office(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office 412 Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)] Station Locations to someone by E-mail Station Locations to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Fueling Station Locations on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Fueling Station Locations on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Fueling Station Locations on Google Bookmark Alternative Fuels Data Center: Biodiesel Fueling Station Locations on Delicious Rank Alternative Fuels Data Center: Biodiesel Fueling Station Locations on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Fueling Station Locations on AddThis.com... More in this section... Biodiesel Basics Benefits & Considerations Stations Locations Infrastructure Development Vehicles Laws & Incentives Biodiesel Fueling Station Locations Find biodiesel (B20 and above) fueling stations near an address or ZIP code 413 E-Print Network [OSTI] identified in theory will provide a basis for the "empirical" model or system of classification to be used in tabulating the response to the survey. Of particular interest is the theoretical development of the ms]or forces in plant location; i. e, , cost... identified in theory will provide a basis for the "empirical" model or system of classification to be used in tabulating the response to the survey. Of particular interest is the theoretical development of the ms]or forces in plant location; i. e, , cost... Miller, James Patterson 2012-06-07T23:59:59.000Z 414 Broader source: Energy.gov (indexed) [DOE] 1/23/2013 1/23/2013 Transmittal to State: TBD EA Approval: TBD FONSI: TBD EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: Total Estimated Cost$0 Office of Legacy Management Jan-13 Annual NEPA Planning Summary Evaluation of Proposed Grazing on the Maybell and Maybell West UMTRCA sites, Colorado TBD DOE is seeking reuse of the lands associated with the Maybell and Maybell West UMTRCA disposal sites in Moffat County, in northwestern Colorado. Potential impacts from grazing would be evaluated in this EA. The schedule and costs have yet to be determined since EA determination was recently made.

415

SciTech Connect (OSTI)

Radiation portal monitors are being deployed at border crossings throughout the world to prevent the smuggling of nuclear and radiological materials; however, a tension exists between security and the free-flow of commerce. Delays at ports-of-entry have major economic implications, so it is imperative to minimize portal monitor screening time. We have developed an algorithm to locate a radioactive source using a distributed array of detectors, specifically for use at border crossings. To locate the source, we formulated an optimization problem where the objective function describes the least-squares difference between the actual and predicted detector measurements. The predicted measurements are calculated by solving the 3-D deterministic neutron transport equation given an estimated source position. The source position is updated using the steepest descent method, where the gradient of the objective function with respect to the source position is calculated using adjoint transport calculations. If the objective function is smaller than the convergence criterion, then the source position has been identified. This paper presents the derivation of the underlying equations in the algorithm as well as several computational test cases used to characterize its accuracy.

Miller, Karen A [Los Alamos National Laboratory; Charlton, William S [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

416

E-Print Network [OSTI]

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

Jinho Baik; Robert Buckingham; Jeffery DiFranco; Alexander Its

2008-10-15T23:59:59.000Z

417

Science Journals Connector (OSTI)

The U.S. Environmental Protection Agency's (U.S. EPA) research program on total human exposure to environmental pollution seeks to develop a newly emerging concept in the environmental sciences. Instead of focusing purely on the sources of pollution or their transport and movement through the environment, this research focuses on human beings as the receptors of these pollutants. People and daily activities become the center of attention. The methodology measures and models the pollutant concentrations found at the physical boundaries of people, regardless of whether the pollutants arrive through the air, water, food, or skin. It seeks to characterize quantitatively the impact of pollution on people by determining if an environmental problem exists at the human interface and, if so, by determining the sources, nature, extent, and severity of this environmental problem. By exploiting an emerging new arsenal of miniaturized instruments and by developing statistically representative survey designs for sampling the population of cities, significant progress has been made in recent years in providing previously unavailable human exposure field data needed for making valid risk assessments. The U.S. EPA total human exposure research program includes: development of measurement methods and instruments, development of exposure models and statistical protocols, microenvironmental field studies, total human exposure studies, validation of human exposure models with empirical data, and dosage research investigations.

Wayne Ott; Lance Wallace; David Mage; Gerald Akland; Robert Lewis; Harold Sauls; Charles Rodes; David Kleffman; Donna Kuroda; Karen Morehouse

1986-01-01T23:59:59.000Z

418

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

419

SciTech Connect (OSTI)

The initial attempt to apply the Total Solar concept to a residence in the Philadelphia, Pennsylvania, area is described. A very large storage capacity has made it possible to use only solar energy for meeting the heating, cooling and hot water needs for the entire year, with a parasitic power penalty of about 3500 kWh. Winter temperatures were maintained at 68/sup 0/F with 60/sup 0/F night setback, summer at 76/sup 0/F. Occupant intervention was negligible and passive overheat was minimized. The extra cost for the system, approximately $30,000 is readily amortized by the savings in purchased energy. Starobin, L. (Univ. of Pennsylvania, Philadelphia); Starobin, J. 1981-01-01T23:59:59.000Z 420 Science Journals Connector (OSTI) With the T(d, n)He4 reaction as a monoenergetic source of neutrons of about 20 Mev, the total cross sections of 13 elements have been measured by a transmission experiment. These cross sections vary approximately as A23 as is to be expected from the continuum theory of nuclear reactions. The cross section for hydrogen at 19.93 Mev is 0.504±0.01 barn. This result, together with other results at lower energies, seems to require a Yukawa potential in both the singlet and triplet n-p states and a singlet effective range that is lower than that obtained from p-p scattering data. Robert B. Day and Richard L. Henkel 1953-10-15T23:59:59.000Z Note: This page contains sample records for the topic "method location total" 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 E-Print Network [OSTI] areas The electromagnetic spectrum #12;#12;Cognitive Radios What is a cognitive radio Smart radio Makes spectrum to a database Uniqueness of the spectrum enables one to determine position #12;Methods Use a radio to scan the spectrum Typical spectrum analyzers are very expensive Use USRP (Universal Software Radio Patwari, Neal 422 Science Journals Connector (OSTI) ......truncation points 0 and 2 and standard deviation = 0 05 (middle...distributed with density h. Standard renewal theory yields...systematic sampling: a review of Matheron's transitive...Trans. Inst. Econ. Mining 59, 147. GUAL-ARNAU...methods. J. Statist. Plan. Infer. 77, 263279...... Johanna Ziegel; Adrian Baddeley; Karl-Anton Dorph-Petersen; Eva B. Vedel Jensen 2010-03-01T23:59:59.000Z 423 Science Journals Connector (OSTI) Abstract Smart Grid (SG) promises efficient, sustainable, green and reliable electrical delivery by combining the existing electrical distribution network assets with modern information and communications technologies (ICT) in order to transfer information and energy in both directions. Introduction of these intelligent devices will help the grid monitor, protect, and automatically optimise the operation of interconnected elements, in addition to interaction between energy suppliers and consumers. However, this exposes the future grid to new security challenges and risks. In this paper, a framework for protecting Smart Grid applications using geographic location of the devices connected to it is proposed. With this framework, each device on the grid adds an extra layer of security. The proposed scheme is not application or device specific which means it can be implemented on any communication node on the grid. The scheme uses an algebraic code based cryptosystems known as GPT (Gabidulin -Paramonov-Trejtakov), which provides a very strong protection while utilising the smallest key size as compared to other cryptosystems based on algebraic codes. As with other code based cryptosystems, the proposed security framework protects grid information against cyber threats as well as against channel impairments in the form of error protection codes. Eraj Khan; Bamidele Adebisi; Bahram Honary 2013-01-01T23:59:59.000Z 424 SciTech Connect (OSTI) We present the Sandia Advanced Personnel Locator Engine (SAPLE) web application, a directory search application for use by Sandia National Laboratories personnel. SAPLE's purpose is to return Sandia personnel 'results' as a function of user search queries, with its mission to make it easier and faster to find people at Sandia. To accomplish this, SAPLE breaks from more traditional directory application approaches by aiming to return the correct set of results while placing minimal constraints on the user's query. Two key features form the core of SAPLE: advanced search query interpretation and inexact string matching. SAPLE's query interpretation permits the user to perform compound queries when typing into a single search field; where able, SAPLE infers the type of field that the user intends to search on based on the value of the search term. SAPLE's inexact string matching feature yields a high-quality ranking of personnel search results even when there are no exact matches to the user's query. This paper explores these two key features, describing in detail the architecture and operation of SAPLE. Finally, an extensive analysis on logged search query data taken from an 11-week sample period is presented. Procopio, Michael J. 2010-04-01T23:59:59.000Z 425 DOE Patents [OSTI] An electromagnetic detector is designed to locate an object hidden behind a separator or a cavity within a solid object. The detector includes a PRF generator for generating 2 MHz pulses, a homodyne oscillator for generating a 2 kHz square wave, and for modulating the pulses from the PRF generator. A transmit antenna transmits the modulated pulses through the separator, and a receive antenna receives the signals reflected off the object. The receiver path of the detector includes a sample and hold circuit, an AC coupled amplifier which filters out DC bias level shifts in the sample and hold circuit, and a rectifier circuit connected to the homodyne oscillator and to the AC coupled amplifier, for synchronously rectifying the modulated pulses transmitted over the transmit antenna. The homodyne oscillator modulates the signal from the PRF generator with a continuous wave (CW) signal, and the AC coupled amplifier operates with a passband centered on that CW signal. The present detector can be used in several applications, including the detection of metallic and non-metallic objects, such as pipes, studs, joists, nails, rebars, conduits and electrical wiring, behind wood wall, ceiling, plywood, particle board, dense hardwood, masonry and cement structure. The detector is portable, light weight, simple to use, inexpensive, and has a low power emission which facilitates the compliance with Part 15 of the FCC rules. McEwan, Thomas E. (Livermore, CA) 1996-01-01T23:59:59.000Z 426 Science Journals Connector (OSTI) For many years a broad use has been made of the indices of total energy requirements in the whole large production system corresponding to unit output of particular goods (Boustead I., Hancock G.F., 1979). The... Henryk W. Balandynowicz 1988-01-01T23:59:59.000Z 427 SciTech Connect (OSTI) Breast ultrasound tomography is a rapidly developing imaging modality that has the potential to impact breast cancer screening and diagnosis. A new ultrasound breast imaging device (CURE) with a ring array of transducers has been designed and built at Karmanos Cancer Institute, which acquires both reflection and transmission ultrasound signals. To extract the sound-speed information from the breast data acquired by CURE, we have developed an iterative sound-speed image reconstruction algorithm for breast ultrasound transmission tomography based on total-variation (TV) minimization. We investigate applicability of the TV tomography algorithm using in vivo ultrasound breast data from 61 patients, and compare the results with those obtained using the Tikhonov regularization method. We demonstrate that, compared to the Tikhonov regularization scheme, the TV regularization method significantly improves image quality, resulting in sound-speed tomography images with sharp (preserved) edges of abnormalities and few artifacts. Huang, Lianjie [Los Alamos National Laboratory; Li, Cuiping [KARMANOS CANCER INSTIT.; Duric, Neb [KARMANOS CANCER INSTIT 2009-01-01T23:59:59.000Z 428 Science Journals Connector (OSTI) In cellular networks, an important practical issue is how to ensure high-quality service. We assume all Base Stations (BSs) have a Geographic Information System (GIS) that has a street map with all BSs and all vehicles have a Global Positioning System (GPS), which acquires data for vehicle speed, direction, and location and sends this information to the nearest BS periodically when communicating within the BS. Based on this vehicle information, a BS checks whether an intersection has a traffic light, determines the traffic light pattern, predicts where vehicles may move, determines whether vehicles may move into another region, and informs the BS to reserve resources for a hand-off. Based on GPS and GIS information, the proposed method, TSDMP, has a lower prediction error rate in predicting traffic light patterns and vehicle movements than other techniques. Hsin-Te Wu; Wen-Shyong Hsieh 2012-01-01T23:59:59.000Z 429 Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)] Fueling Fueling Station Locations to someone by E-mail Share Alternative Fuels Data Center: Ethanol Fueling Station Locations on Facebook Tweet about Alternative Fuels Data Center: Ethanol Fueling Station Locations on Twitter Bookmark Alternative Fuels Data Center: Ethanol Fueling Station Locations on Google Bookmark Alternative Fuels Data Center: Ethanol Fueling Station Locations on Delicious Rank Alternative Fuels Data Center: Ethanol Fueling Station Locations on Digg Find More places to share Alternative Fuels Data Center: Ethanol Fueling Station Locations on AddThis.com... More in this section... Ethanol Basics Benefits & Considerations Stations Locations Infrastructure Development Vehicles Laws & Incentives Ethanol Fueling Station Locations Find ethanol (E85) fueling stations near an address or ZIP code or along a 430 Broader source: Energy.gov (indexed) [DOE] Other Location Other Location Categorical Exclusion Determinations: Other Location Location Categorical Exclusion Determinations issued for actions in other locations. DOCUMENTS AVAILABLE FOR DOWNLOAD September 24, 2013 CX-010914: Categorical Exclusion Determination Pilot Testing of a Highly Efficient Pre-Combustion Sorbent-Based Carbon Capture System (SUMMARY Categorical Exclusion (CX)) CX(s) Applied: A9, A11, B3.6 Date: 09/24/2013 Location(s): Multiple States, China, Canada Offices(s): National Energy Technology Laboratory August 21, 2013 CX-010781: Categorical Exclusion Determination A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.6 Date: 08/21/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory August 16, 2013 431 U.S. Energy Information Administration (EIA) Indexed Site End Use: Total Commercial Industrial Oil Company Electric Power Vessel Bunkering Military All Other Period: End Use: Total Commercial Industrial Oil Company Electric Power Vessel Bunkering Military All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 10,706,479 8,341,552 6,908,028 7,233,765 6,358,120 6,022,115 1984-2012 East Coast (PADD 1) 5,527,235 4,043,975 2,972,575 2,994,245 2,397,932 2,019,294 1984-2012 New England (PADD 1A) 614,965 435,262 281,895 218,926 150,462 101,957 1984-2012 Connecticut 88,053 33,494 31,508 41,686 6,534 5,540 1984-2012 Maine 152,082 110,648 129,181 92,567 83,603 49,235 1984-2012 Massachusetts 300,530 230,057 59,627 52,228 34,862 30,474 1984-2012 432 Gasoline and Diesel Fuel Update (EIA) Released: September, 2008 Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ........................... 1,870 1,276 322 138 133 43.0 29.4 7.4 3.2 3.1 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 243 151 34 40 18 78.7 48.9 11.1 13.0 5.7 5,001 to 10,000 .......................... 202 139 31 29 Q 54.8 37.6 8.5 7.9 Q 10,001 to 25,000 ........................ 300 240 31 21 7 42.5 34.1 4.4 3.0 1.1 25,001 to 50,000 ........................ 250 182 40 11 Q 41.5 30.2 6.6 1.9 Q 50,001 to 100,000 ...................... 236 169 41 8 19 35.4 25.2 6.2 1.2 2.8 100,001 to 200,000 .................... 241 165 54 7 16 36.3 24.8 8.1 1.0 2.4 200,001 to 500,000 .................... 199 130 42 11 16 35.0 22.8 7.5 1.9 2.8 Over 500,000 ............................. 198 433 Gasoline and Diesel Fuel Update (EIA) Released: September, 2008 Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ............................. 2,037 1,378 338 159 163 42.0 28.4 7.0 3.3 3.4 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 249 156 35 41 18 78.6 49.1 11.0 12.9 5.6 5,001 to 10,000 .......................... 218 147 32 31 7 54.8 37.1 8.1 7.9 1.7 10,001 to 25,000 ........................ 343 265 34 25 18 43.8 33.9 4.4 3.2 2.3 25,001 to 50,000 ........................ 270 196 41 13 Q 40.9 29.7 6.3 2.0 2.9 50,001 to 100,000 ...................... 269 186 45 13 24 35.8 24.8 6.0 1.8 3.2 100,001 to 200,000 .................... 267 182 56 10 19 35.4 24.1 7.4 1.3 2.6 200,001 to 500,000 .................... 204 134 43 11 17 34.7 22.7 7.3 1.8 2.9 Over 500,000 ............................. 434 SciTech Connect (OSTI) Traditionally, energy, waste reduction and productivity audits are performed for a manufacturing facility independent of one another. Auditors generally deliver recommendations for improvement based on their specialized expertise (energy, waste reduction, productivity, etc.) without regard to how those recommendations may impact other, sometimes less obvious, subsystems or processes within the facility. The audits are typically performed in isolation from the plant upper management and commonly without adequate knowledge of how inherent interrelated operational constraints may directly or indirectly influence the success of audit recommendations. The Total Assessment Audit (TAA) concept originated from the belief that a manufacturing facility is better served using a holistic approach to problem solving rather than the more conventional isolated approach. The total assessment audit methodology partners the upper management team of a company with a multi-disciplined team of industry-specific specialists to collectively ascertain the core opportunities for improvement in the company and then to formulate a company oriented continuous improvement plan. Productivity, waste reduction, and energy efficiency objectives are seamlessly integrated into a single service delivery with the TAA approach. Nontraditional audit objectives that influence profitability and competitiveness such as business management practices, employee training, human resource issues, etc. are also subject to evaluation in a TAA. The underlying premise of this approach is that the objectives are interrelated and that simultaneous evaluation will province synergistic results. Ultimately, it is believed that the TAA approach can motivate a manufacturer to implement improvements it might not otherwise pursue if it were focused only on singular objectives. Haman, W.G. 1999-07-01T23:59:59.000Z 435 Open Energy Info (EERE) Fueling Station Locator - Mobile Fueling Station Locator - Mobile Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Alternative Fueling Station Locator - Mobile Agency/Company /Organization: United States Department of Energy Partner: National Renewable Energy Laboratory Sector: Energy Focus Area: Transportation Phase: Evaluate Options, Prepare a Plan Resource Type: Online calculator User Interface: Mobile Device Website: www.afdc.energy.gov/afdc/locator/m/stations/ Web Application Link: www.afdc.energy.gov/afdc/locator/m/stations/ Cost: Free References: National Renewable Energy Laboratory Advanced Vehicles and Fuels Research: Data and Resources[1] Logo: Alternative Fueling Station Locator - Mobile Find fueling stations for your alternative fuel vehicle on-the-go with the 436 E-Print Network [OSTI] In this research, the totally asymmetric exclusion process without particle number conservation is discussed. Based on the mean field approximation and the Rankine-Hugoniot condition, the necessary and sufficient conditions of the existence of the domain wall have been obtained. Moreover, the properties of the domain wall, including the location and height, have been studied theoretically. All the theoretical results are demonstrated by the computer simulations. Yunxin Zhang 2008-10-07T23:59:59.000Z 437 Science Journals Connector (OSTI) Abstract One of the most critical barriers to widespread adoption of electric cars is the lack of charging station infrastructure. Although it is expected that a sufficient number of charging stations will be constructed eventually, due to various practical reasons they may have to be introduced gradually over time. In this paper, we formulate a multi-period optimization model based on a flow-refueling location model for strategic charging station location planning. We also propose two myopic methods and develop a case study based on the real traffic flow data of the Korean Expressway network in 2011. We discuss the performance of the three proposed methods. Sung Hoon Chung; Changhyun Kwon 2014-01-01T23:59:59.000Z 438 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) upwelling irradiance upwelling irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Shortwave narrowband total upwelling irradiance The rate at which radiant energy, in narrow bands of wavelengths shorter than approximately 4 {mu}m, passes through a horizontal unit area in an upward direction. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments MFR : Multifilter Radiometer Field Campaign Instruments RAD-AIR : Airborne Radiometers 439 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) downwelling irradiance downwelling irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Shortwave narrowband total downwelling irradiance The rate at which radiant energy, in narrow bands of wavelengths shorter than approximately 4 {mu}m, passes through a horizontal unit area in a downward direction. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments MFRSR : Multifilter Rotating Shadowband Radiometer NFOV : Narrow Field of View Zenith Radiometer 440 U.S. Energy Information Administration (EIA) Indexed Site Input Input Product: Total Input Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquid Petroleum Gases Normal Butane Isobutane Other Liquids Oxygenates/Renewables Methyl Tertiary Butyl Ether (MTBE) Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - Conventional, CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day Note: This page contains sample records for the topic "method location total" from the National Library of EnergyBeta (NLEBeta). While these samples are representative of the content of NLEBeta, they are not comprehensive nor are they the most current set. We encourage you to perform a real-time search of NLEBeta to obtain the most current and comprehensive results. 441 E-Print Network [OSTI] Contribution 10 4 * 1,914 1,550 364 15 6 3 2,871 2,326 545 20 8 4 3,828 3,101 727 25 10 5 4,785 3,876 909 30 12,752 1,818 TGR 4-20 0-3 2,871 2,871 - % of time appointed Hours of Work/Week Units TAL Provides Total,742 4,651 1,091 75 30 5 4,785 3,876 909 80 32 4 3,828 3,101 727 85 34 3 2,871 2,326 545 90 36 3 2,871 2 Kay, Mark A. 442 Science Journals Connector (OSTI) Although the principle of combined heat and power generation is attractive, practical problems have hindered its application. In the U.K. the scope for ‘small scale’ combined heat and power (total energy) systems has been improved markedly by the introduction of new Electricity Board regulations which allow the operation of small a.c. generators in parallel with the mains low voltage supply. Following this change, Serck have developed a standard total energy unit, the CG100, based on the 2.25 1 Land Rover gas engine with full engine (coolant and exhaust gas) heat recovery. The unit incorporates an asynchronous generator, which utilising mains power for its magnetising current and speed control, offers a very simple means of generating electricity in parallel with the mains supply, without the need for expensive synchronising controls. Nominal output is 15 kW 47 kW heat; heat is available as hot water at temperatures up to 85°C, allowing the heat output to be utilised directly in low pressure hot water systems. The CG100 unit can be used in any application where an appropriate demand exists for heat and electricity, and the annual utilisation will give an acceptable return on capital cost; it produces base load heat and electricity, with LPHW boilers and the mains supply providing top-up/stand-by requirements. Applications include ‘residential’ use (hospitals, hotels, boarding schools, etc.), swimming pools and industrial process systems. The unit also operates on digester gas produced by anaerobic digestion of organic waste. A larger unit based on a six cylinder Ford engine (45 kWe output) is now available. R. Kelcher 1984-01-01T23:59:59.000Z 443 Broader source: Energy.gov (indexed) [DOE] Locations of Smart Grid Demonstration and Large-Scale Energy Storage Projects Locations of Smart Grid Demonstration and Large-Scale Energy Storage Projects Map of the United States... 444 Open Energy Info (EERE) PrimaryLocation Jump to: navigation, search This is a property of type Page. Retrieved from "http:en.openei.orgwindex.php?titleProperty:NewsPrimaryLocation&oldid285888"... 445 Open Energy Info (EERE) VallesLocationMap.pdf Jump to: navigation, search File File history File usage Metadata File:VallesLocationMap.pdf Size of this preview: 800 479 pixels. Full resolution (934... 446 E-Print Network [OSTI] On the Anonymity of Home/Work Location Pairs Philippe Golle and Kurt Partridge Palo Alto Research population is 1, 21 and 34,980, for locations known at the granularity of a census block, census track Golle, Philippe 447 E-Print Network [OSTI] We present a low cost and easily deployed infrastructure for location aware computing that is built using standard Bluetooth® technologies and personal computers. Mobile devices are able to determine their location to ... Huang, Albert 448 Energy Savers [EERE] New Location for Solar Decathlon 2013 Energy Department Announces Student Teams, New Location for Solar Decathlon 2013 January 26, 2012 - 10:56am Addthis WASHINGTON, DC - At an... 449 Science Journals Connector (OSTI) ......The BOXCAR explosion at the Nevada Test Site was located with surface waves...activity in the Pahute Mesa area, Nevada Test Site, December 8, 1968-June 30...The BOXCAR explosion at the Nevada Test Site was located with surfacewavesusingboth...... David von Seggern 1972-04-01T23:59:59.000Z 450 E-Print Network [OSTI] Locations in the Inner Continental Borderland, Offshore Southern California by Luciana Astiz and Peter M. Shearer Abstract The inner Continental Borderland region, offshore southern California, is tectonically in this area, we apply new location methods to 4312 offshore seismic events that occurred between 1981 and 1997 Shearer, Peter 451 E-Print Network [OSTI] I. Enantioselective Total Synthesis of (-)-Acylfulvene, and (-)-Irofulven We report the enantioselective total synthesis of (-)-acylfulvene and (-)-irofulven, which features metathesis reactions for the rapid assembly of ... Siegel, Dustin S. (Dustin Scott), 1980- 2010-01-01T23:59:59.000Z 452 Gasoline and Diesel Fuel Update (EIA) Liquefied Natural Gas Total Imports (Dollars per Thousand Cubic Feet) Price of Lake Charles, LA Liquefied Natural Gas Total Imports (Dollars per Thousand Cubic Feet) Decade Year-0... 453 Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)] -- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1... 454 U.S. Energy Information Administration (EIA) Indexed Site Total Liquids Extracted in California (Thousand Barrels) California Onshore Natural Gas Total Liquids Extracted in California (Thousand Barrels) Decade Year-0 Year-1 Year-2 Year-3... 455 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Serum Total and Free PSA Using Immunoaffinity Depletion Coupled to SRM: Correlation with Clinical Immunoassay Tests. Analysis of Serum Total and Free PSA Using Immunoaffinity... 456 E-Print Network [OSTI] Air Temperature Total system power (%) Cooling power (%)Total system power (%) Cooling power (%) JunctionTo simulate the cooling power consumption at different Lai, Liangzhen; Chang, Chia-Hao; Gupta, Puneet 2014-01-01T23:59:59.000Z 457 Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 Presentation by Sunita Satyapal at the... 458 E-Print Network [OSTI] Searches for a stochastic gravitational-wave background (SGWB) using terrestrial detectors typically involve cross-correlating data from pairs of detectors. The sensitivity of such cross-correlation analyses depends, among other things, on the separation between the two detectors: the smaller the separation, the better the sensitivity. Hence, a co-located detector pair is more sensitive to a gravitational-wave background than a non-co-located detector pair. However, co-located detectors are also expected to suffer from correlated noise from instrumental and environmental effects that could contaminate the measurement of the background. Hence, methods to identify and mitigate the effects of correlated noise are necessary to achieve the potential increase in sensitivity of co-located detectors. Here we report on the first SGWB analysis using the two LIGO Hanford detectors and address the complications arising from correlated environmental noise. We apply correlated noise identification and mitigation techniques... Aasi, J; Abbott, B P; Abbott, R; Abbott, T; Abernathy, M R; Accadia, T; Acernese, F; Adams, C; Adams, T; Addesso, P; Adhikari, R X; Affeldt, C; Agathos, M; Aggarwal, N; Aguiar, O D; Ajith, P; Allen, B; Allocca, A; Ceron, E Amado; Amariutei, D; Anderson, R A; Anderson, S B; Anderson, W G; Arai, K; Araya, M C; Arceneaux, C; Areeda, J; Ast, S; Aston, S M; Astone, P; Aufmuth, P; Aulbert, C; Austin, L; Aylott, B E; Babak, S; Baker, P T; Ballardin, G; Ballmer, S W; Barayoga, J C; Barker, D; Barnum, S H; Barone, F; Barr, B; Barsotti, L; Barsuglia, M; Barton, M A; Bartos, I; Bassiri, R; Basti, A; Batch, J; Bauchrowitz, J; Bauer, Th S; Bebronne, M; Behnke, B; Bejger, M; Beker, M G; Bell, A S; Bell, C; Belopolski, I; Bergmann, G; Berliner, J M; Bersanetti, D; Bertolini, A; Bessis, D; Betzwieser, J; Beyersdorf, P T; Bhadbhade, T; Bilenko, I A; Billingsley, G; Birch, J; Biscans, S; Bitossi, M; Bizouard, M A; Black, E; Blackburn, J K; Blackburn, L; Blair, D; Blom, M; Bock, O; Bodiya, T P; Boer, M; Bogan, C; Bond, C; Bondu, F; Bonelli, L; Bonnand, R; Bork, R; Born, M; Boschi, V; Bose, S; Bosi, L; Bowers, J; Bradaschia, C; Brady, P R; Braginsky, V B; Branchesi, M; Brannen, C A; Brau, J E; Breyer, J; Briant, T; Bridges, D O; Brillet, A; Brinkmann, M; Brisson, V; Britzger, M; Brooks, A F; Brown, D A; Brown, D D; Brückner, F; Bulik, T; Bulten, H J; Buonanno, A; Buskulic, D; Buy, C; Byer, R L; Cadonati, L; Cagnoli, G; Bustillo, J Calderó; Calloni, E; Camp, J B; Campsie, P; Cannon, K C; Canuel, B; Cao, J; Capano, C D; Carbognani, F; Carbone, L; Caride, S; Castiglia, A; Caudill, S; Cavagliŕ, M; Cavalier, F; Cavalieri, R; Cella, G; Cepeda, C; Cesarini, E; Chakraborty, R; Chalermsongsak, T; Chao, S; Charlton, P; Chassande-Mottin, E; Chen, X; Chen, Y; Chincarini, A; Chiummo, A; Cho, H S; Chow, J; Christensen, N; Chu, Q; Chua, S S Y; Chung, S; Ciani, G; Clara, F; Clark, D E; Clark, J A; Cleva, F; Coccia, E; Cohadon, P -F; Colla, A; Colombini, M; Constanci., M; Conte, A; Cook, D; Corbitt, T R; Cordier, M; Cornish, N; Corsi, A; Costa, C A; Coughlin, M W; Coulon, J -P; Countryman, S; Couvares, P; Coward, D M; Cowart, M; Coyne, D C; Craig, K; Creighton, J D E; Creighton, T D; Crowder, S G; Cumming, A; Cunningham, L; Cuoco, E; Dahl, K; Canton, T Da; Damjanic, M; Danilishin, S L; D'Antonio, S; Danzmann, K; Dattilo, V; Daudert, B; Daveloza, H; Davier, M; Davies, G S; Daw, E J; Day, R; Dayanga, T; Debreczeni, G; Degallaix, J; Deleeuw, E; Deléglise, S; Pozzo, W De; Denker, T; Dent, T; Dereli, H; Dergachev, V; DeRosa, R T; Rosa, R D; DeSalvo, R; Dhurandhar, S; Díaz, M; Dietz, A; Fiore, L D; Lieto, A D; Palma, I D; Virgilio, A D; Dmitry, K; Donovan, F; Dooley, K L; Doravari, S; Drago, M; Drever, R W P; Driggers, J C; Du, Z; Dumas, J -C; Dwyer, S; Eberle, T; Edwards, M; Effler, A; Ehrens, P; Eichholz, J; Eikenberry, S S; Endr?czi, G; Essick, R; Etzel, T; Evans, K; Evans, M; Evans, T; Factourovich, M; Fafone, V; Fairhurst, S; Fang, Q; Farr, B; Farr, W; Favata, M; Fazi, D; Fehrmann, H; Feldbaum, D; Ferrante, I; Ferrini, F; Fidecaro, F; Finn, L S; Fiori, I; Fisher, R; Flaminio, R; Foley, E; Foley, S; Forsi, E; Fotopoulos, N; Fournier, J -D; Franco, S; Frasca, S; Frasconi, F; Frede, M; Frei, M; Frei, Z; Freise, A; Frey, R; Fricke, T T; Fritschel, P; Frolov, V V; Fujimoto, M -K; Fulda, P; Fyffe, M; Gair, J; Gammaitoni, L; Garcia, J; Garufi, F; Gehrels, N; Gemme, G; Genin, E; Gennai, A; Gergely, L; Ghosh, S; Giaime, J A; Giampanis, S; Giardina, K D; Giazotto, A; Gil-Casanova, S; Gill, C; Gleason, J; Goetz, E; Goetz, R; Gondan, L; González, G; Gordon, N; Gorodetsky, M L; Gossan, S; Goßler, S; Gouaty, R; Graef, C; Graff, P B; Granata, M; Grant, A; Gras, S; Gray, C; Greenhalgh, R J S; Gretarsson, A M; Griffo, C; Grote, H; Grover, K; Grunewald, S; Guidi, G M; Guido, C; Gushwa, K E; Gustafson, E K; Gustafson, R; Hall, B; Hall, E; Hammer, D; Hammond, G; Hanke, M; Hanks, J; Hanna, C; Hanson, J; Harms, J; Harry, G M; Harry, I W; Harstad, E D; Hartman, M T; Haughian, K; Hayama, K; Heefner, J; Heidmann, A; Heintze, M; Heitmann, H; Hello, P; Hemming, G; Hendry, M; Heng, I S; Heptonstall, A W; Heurs, M; Hild, S; Hoak, D; Hodge, K A; Holt, K; Hong, T; Hooper, S; Horrom, T; Hosken, D J; Hough, J; Howell, E J; Hu, Y; Hua, Z; Huang, V; Huerta, E A; Hughey, B; Husa, S; Huttner, S H; Huynh, M; Huynh-Dinh, T; Iafrate, J; Ingram, D R; Inta, R; Isogai, T; Ivanov, A; Iyer, B R; Izumi, K; Jacobson, M; James, E; Jang, H; Jang, Y J; Jaranowski, P; Jiménez-Forteza, F; Johnson, W W; Jones, D I; Jones, D; Jones, R; Jonker, R J G; Ju, L; K, Hari; Kalmus, P; Kalogera, V; Kandhasamy, S; Kang, G; Kanner, J B; Kasprzack, M; Kasturi, R; Katsavounidis, E; Katzman, W; Kaufer, H; Kaufman, K; Kawabe, K; Kawamura, S; Kawazoe, F; Kéfélian, F; Keitel, D; Kelley, D B; Kells, W; Keppel, D G; Khalaidovski, A; Khalili, F Y; Khazanov, E A; Kim, B K; Kim, C; Kim, K; Kim, N; Kim, W; Kim, Y -M 2014-01-01T23:59:59.000Z 459 Science Journals Connector (OSTI) The acoustic emission (AE) method could be used to detect and locate partial discharges (PD) in cast-resin dry-type transformers. However, due to the high... Ching-chau Su; Ya-wen Tang; Cheng-chi Tai… 2011-04-01T23:59:59.000Z 460 Science Journals Connector (OSTI) Determining a malfunctioning component in a processor network gives the motivation for locating–dominating sets. It is shown that the smallest possible density of a locating–dominating set in the king grid equals 1/5 and in the hexagonal mesh 1/3. Moreover, we discuss a natural modification of locating–dominating sets. Iiro Honkala; Tero Laihonen 2006-01-01T23:59:59.000Z Note: This page contains sample records for the topic "method location total" 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 E-Print Network [OSTI] that ordinary randomized rounding rarely generates a feasible solution to the associated set covering problemImproved approximation algorithms for a capacitated facility location problem Fabi'an A. Chudak. There is a set of demand locations that require service from facilities; there is a set of locations at which Keinan, Alon 462 E-Print Network [OSTI] Location-based Sponsored Search Advertising George Trimponias1 , Ilaria Bartolini2 , Dimitris unprecedented opportunities for location-based advertising. In this work, we provide models and investigate the market for location-based sponsored search, where advertisers pay the search engine to be displayed Papadias, Dimitris 463 Broader source: Energy.gov (indexed) [DOE] 01 01$4,547,400 FY2002 $4,871,000 FY2003$6,177,902 FY2004 $8,743,007 FY2005$13,134,189 FY2006 $7,489,704 FY2007$9,090,924 FY2008 $10,045,072 FY2009$12,504,247 FY2010 $17,590,414 FY2011$17,558,710 FY2012 $14,528,770 Cumulative Fee Paid$126,281,339 Cost Plus Award Fee DE-AC29-01AL66444 Washington TRU Solutions LLC Contractor: Contract Number: Contract Type: $8,743,007 Contract Period:$1,813,482,000 Fee Information Maximum Fee $131,691,744 Total Estimated Contract Cost:$4,547,400 $4,871,000$6,177,902 October 2000 - September 2012 Minimum Fee $0 Fee Available EM Contractor Fee Site: Carlsbad Field Office - Carlsbad, NM Contract Name: Waste Isolation Pilot Plant Operations March 2013$13,196,690 $9,262,042$10,064,940 $14,828,770$12,348,558 $12,204,247$17,590,414 17,856,774 464 U.S. Energy Information Administration (EIA) Indexed Site Exports Exports Product: Total Crude Oil and Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane/Ethylene Propane/Propylene Normal Butane/Butylene Isobutane/Isobutylene Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Biomass-Based Diesel Motor Gasoline Blend. Comp. (MGBC) MGBC - Reformulated MGBC - Conventional Aviation Gasoline Blend. Comp. Finished Petroleum Products Finished Motor Gasoline Reformulated Gasoline Conventional Gasoline Finished Aviation Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate F.O., 15 ppm and under Distillate F.O., Greater than 15 to 500 ppm Distillate F.O., Greater than 500 ppm Residual Fuel Oil Naphtha for Petro. Feed. Use Other Oils Petro. Feed. Use Special Naphthas Lubricants Waxes Petroleum Coke Asphalt and Road Oil Miscellaneous Products Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day 465 SciTech Connect (OSTI) The lessons learned from ore segregation test No.3 were presented to Minntac Mine personnel during the reporting period. Ore was segregated by A-Factor, with low values going to Step 1/2 and high values going to Step 3. During the test, the mine maintained the best split possible for the given production and location constraints. During the test, Step 1&2 A-Factor was lowered more than Step 3 was raised. All other ore quality changes were not manipulated, but the segregation by A-Factor affected most of the other qualities. Magnetic iron, coarse tails, fine tails, silica, and grind changed in response to the split. Segregation was achieved by adding ore from HIS to the Step 3 blend and lowering the amount of LC 1&2 and somewhat lowering the amount of LC 3&4. Conversely, Step 1&2 received less HIS with a corresponding increase in LC 1&2. The amount of IBC was increased to both Steps about one-third of the way into the test. For about the center half of the test, LC 3&4 was reduced to both Steps. The most noticeable layer changes were, then: an increase in the HIS split; a decrease in the LC 1&2 split; adding IBC to both Steps; and lowering LC 3&4 to both Steps. Statistical analysis of the dataset collected during ordinary, non-segregated operation of the mine and mill is continuing. Graphical analysis of blast patterns according to drill monitor data was slowed by student classwork. It is expected to resume after the semester ends in May. Leslie Gertsch; Richard Gertsch 2005-05-16T23:59:59.000Z 466 Broader source: Energy.gov (indexed) [DOE] Location of Development Act (Maine) Location of Development Act (Maine) Site Location of Development Act (Maine) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maine Program Type Siting and Permitting Provider Department of Environmental Protection The Site Location of Development Act regulates the locations chosen for 467 Broader source: Energy.gov (indexed) [DOE] Building Technologies Office Search Building Technologies Office Search Search Help Building Technologies Office HOME ABOUT EMERGING TECHNOLOGIES RESIDENTIAL BUILDINGS COMMERCIAL BUILDINGS APPLIANCE & EQUIPMENT STANDARDS BUILDING ENERGY CODES EERE Â» Building Technologies Office Â» Residential Buildings Share this resource Send a link to Building Technologies Office: DOE Challenge Home Partner Locator to someone by E-mail Share Building Technologies Office: DOE Challenge Home Partner Locator on Facebook Tweet about Building Technologies Office: DOE Challenge Home Partner Locator on Twitter Bookmark Building Technologies Office: DOE Challenge Home Partner Locator on Google Bookmark Building Technologies Office: DOE Challenge Home Partner Locator on Delicious Rank Building Technologies Office: DOE Challenge Home Partner 468 Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)] Natural Gas Natural Gas Printable Version Share this resource Send a link to Alternative Fuels Data Center: Natural Gas Fueling Station Locations to someone by E-mail Share Alternative Fuels Data Center: Natural Gas Fueling Station Locations on Facebook Tweet about Alternative Fuels Data Center: Natural Gas Fueling Station Locations on Twitter Bookmark Alternative Fuels Data Center: Natural Gas Fueling Station Locations on Google Bookmark Alternative Fuels Data Center: Natural Gas Fueling Station Locations on Delicious Rank Alternative Fuels Data Center: Natural Gas Fueling Station Locations on Digg Find More places to share Alternative Fuels Data Center: Natural Gas Fueling Station Locations on AddThis.com... More in this section... Natural Gas Basics Benefits & Considerations 469 E-Print Network [OSTI] methods for hydrogen production include reforming of hydro- carbons such as natural gas, coal gasification.elsevier.com/locate/ijhydene Electrochemical hydrogen production from thermochemical cycles using a proton exchange membrane electrolyzer Prem The electrochemical step in two thermochemical cycles for hydrogen production is reported. One cycle involves Weidner, John W. 470 E-Print Network [OSTI] Towards an Opportunistic and Location-Aware Service Provision in Disconnected Mobile Ad Hoc as a promising method to support communication in disconnected mobile ad hoc networks. This new communication model relies on the "store, carry and forward" principle, and ex- ploits ad hoc communication and device Paris-Sud XI, UniversitĂ© de 471 E-Print Network [OSTI] , such as 400 kV transmission lines, will also be undergrounded gradually as more experience is gath- ered of underground cables for the transmission level. In Denmark, as a leading country, the entire 150 kV and 132 kV on transmission level fault location methods have been focused on overhead lines. Because of the very different Bak, Claus Leth 472 U.S. Energy Information Administration (EIA) Indexed Site 8a. Home Office Equipment by Urban/Rural Location, 8a. Home Office Equipment by Urban/Rural Location, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.9 1.3 1.2 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Households Using Office Equipment ......................................... 96.2 43.9 16.0 20.2 16.1 4.1 Personal Computers 2 ................................. 60.0 25.6 9.3 15.0 10.1 4.7 Number of Desktop PCs 1 ................................................................ 45.1 19.3 7.3 10.7 7.9 5.3 2 or more ................................................... 9.1 3.5 1.2 3.2 1.1 9.8 Number of Laptop PCs 1 ................................................................ 473 U.S. Energy Information Administration (EIA) Indexed Site 8a. Housing Unit Characteristics by Urban/Rural Location, 8a. Housing Unit Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.3 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.2 Census Region and Division Northeast ..................................................... 20.3 7.7 4.5 4.7 3.4 7.4 New England ............................................. 5.4 2.1 1.6 0.7 1.1 13.4 Middle Atlantic ........................................... 14.8 5.6 2.9 4.0 2.3 8.5 Midwest ....................................................... 24.5 11.1 4.9 4.8 3.7 10.1 East North Central ..................................... 17.1 8.3 3.0 3.4 2.5 474 DOE Patents [OSTI] The present invention is directed to an improved method for establishing camera fixture location for aligning mirrors on a solar collector array (SCA) comprising multiple mirror modules. The method aligns the mirrors on a module by comparing the location of the receiver image in photographs with the predicted theoretical receiver image location. To accurately align an entire SCA, a common reference is used for all of the individual module images within the SCA. The improved method can use relative pixel location information in digital photographs along with alignment fixture inclinometer data to calculate relative locations of the fixture between modules. The absolute locations are determined by minimizing alignment asymmetry for the SCA. The method inherently aligns all of the mirrors in an SCA to the receiver, even with receiver position and module-to-module alignment errors. Driver, Jr., Richard B 2012-10-23T23:59:59.000Z 475 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) 7RWDO(FRV\VWHPSSURDFKWR 7RWDO(FRV\VWHP$SSURDFKWR 7HUUHVWULDO&DUERQ 6HTXHVWUDWLRQ Coal Industry Perspective November 6, 2001 685)$&(0,1,1* * Surface mining is the preferred mining method - Cheaper - Employees are above ground - More coal is recovered - Less preparation (washing) required * Prior to 1977 overburden (soil) was left loose (uncompacted) - Many disturbed areas have supported growth of new forest with growth rates greater than adjacent undisturbed lands 685)$&(0,1($&72) * Act Required Mine Operators to take steps to reclaim mined lands. - Post Reclamation Bond - Return Land to Approximate Original Contour * Mining Companies routinely made the surface smooth by making multiple passes over the surface compacting soils 5(&/$,0('0,1(/$1'327(17,\$/

476

Alternative Fueling Station Locator App Provides Info at Your Alternative Fueling Station Locator App Provides Info at Your Fingertips Alternative Fueling Station Locator App Provides Info at Your Fingertips November 15, 2013 - 10:12am Addthis The Alternative Fueling Station Locator iPhone app helps you find fueling stations that offer electricity, natural gas, biodiesel, E85, propane, or hydrogen. | Energy Department The Alternative Fueling Station Locator iPhone app helps you find fueling stations that offer electricity, natural gas, biodiesel, E85, propane, or hydrogen. | Energy Department Shannon Brescher Shea Communications Manager, Clean Cities Program Smartphone users are familiar with the prompt, "Would you like this site to use your current location?" If you're looking for somewhere to fuel your

477

Establish Building Locations for Greenhouse Gas Mitigation Establish Building Locations for Greenhouse Gas Mitigation Establish Building Locations for Greenhouse Gas Mitigation October 7, 2013 - 10:53am Addthis YOU ARE HERE Step 2 After estimating greenhouse gas (GHG) emissions by building type, building location is an important consideration in evaluating the relevance of energy-saving strategies due to variations in heating and cooling needs, and the GHG reduction potential due to variability of emissions factors across regions of the grid. If site-level energy use estimates are available for each of the program's key building types, the program can identify building locations with the greatest emission reduction potential by using the benchmarking approach. Locations with the worst energy performance relative to the benchmark are

478

Alternative Fueling Station Locator App Provides Info at Your Alternative Fueling Station Locator App Provides Info at Your Fingertips Alternative Fueling Station Locator App Provides Info at Your Fingertips November 15, 2013 - 10:12am Addthis The Alternative Fueling Station Locator iPhone app helps you find fueling stations that offer electricity, natural gas, biodiesel, E85, propane, or hydrogen. | Energy Department The Alternative Fueling Station Locator iPhone app helps you find fueling stations that offer electricity, natural gas, biodiesel, E85, propane, or hydrogen. | Energy Department Shannon Brescher Shea Communications Manager, Clean Cities Program Smartphone users are familiar with the prompt, "Would you like this site to use your current location?" If you're looking for somewhere to fuel your

479

DOE Patents [OSTI]

A computer implemented information extraction process that locates and identifies eddy current signal features in digital point-ordered signals, signals representing data from inspection of test materials, by enhancing the signal features relative to signal noise, detecting features of the signals, verifying the location of the signal features that can be known in advance, and outputting information about the identity and location of all detected signal features.

Brudnoy, David M. (Albany, NY); Oppenlander, Jane E. (Burnt Hills, NY); Levy, Arthur J. (Schenectady, NY)

2000-01-01T23:59:59.000Z

480

DOE Patents [OSTI]

An echo-location method for microwaves, sound and light capable of using incoherent and arbitrary waveforms of wide bandwidth to measure velocity and range (and target size) simultaneously to high resolution. Two interferometers having very long and nearly equal delays are used in series with the target interposed. The delays can be longer than the target range of interest. The first interferometer imprints a partial coherence on an initially incoherent source which allows autocorrelation to be performed on the reflected signal to determine velocity. A coherent cross-correlation subsequent to the second interferometer with the source determines a velocity discriminated range. Dithering the second interferometer identifies portions of the cross-correlation belonging to a target apart from clutter moving at a different velocity. The velocity discrimination is insensitive to all slowly varying distortions in the signal path. Speckle in the image of target and antenna lobing due to parasitic reflections is minimal for an incoherent source. An arbitrary source which varies its spectrum dramatically and randomly from pulse to pulse creates a radar elusive to jamming. Monochromatic sources which jigger in frequency from pulse to pulse or combinations of monochromatic sources can simulate some benefits of incoherent broadband sources. Clutter which has a symmetrical velocity spectrum will self-cancel for short wavelengths, such as the apparent motion of ground surrounding target from a sidelooking airborne antenna.

Erskine, David J. (Oakland, CA)

1999-01-01T23:59:59.000Z

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

481

DOE Patents [OSTI]

An echo-location method for microwaves, sound and light capable of using incoherent and arbitrary waveforms of wide bandwidth to measure velocity and range (and target size) simultaneously to high resolution is disclosed. Two interferometers having very long and nearly equal delays are used in series with the target interposed. The delays can be longer than the target range of interest. The first interferometer imprints a partial coherence on an initially incoherent source which allows autocorrelation to be performed on the reflected signal to determine velocity. A coherent cross-correlation subsequent to the second interferometer with the source determines a velocity discriminated range. Dithering the second interferometer identifies portions of the cross-correlation belonging to a target apart from clutter moving at a different velocity. The velocity discrimination is insensitive to all slowly varying distortions in the signal path. Speckle in the image of target and antenna lobing due to parasitic reflections is minimal for an incoherent source. An arbitrary source which varies its spectrum dramatically and randomly from pulse to pulse creates a radar elusive to jamming. Monochromatic sources which jigger in frequency from pulse to pulse or combinations of monochromatic sources can simulate some benefits of incoherent broadband sources. Clutter which has a symmetrical velocity spectrum will self-cancel for short wavelengths, such as the apparent motion of ground surrounding target from a sidelooking airborne antenna. 46 figs.

Erskine, D.J.

1999-02-16T23:59:59.000Z

482

E-Print Network [OSTI]

??The purpose of this research is to generate the most accurate model possible for predicting locations most suitable for new wind energy development using a… (more)

Mann, David

2011-01-01T23:59:59.000Z

483

E-Print Network [OSTI]

??This research is concerned with bioenergy systems planning and optimization modelling in the context of locating biomass power plants and allocating available biomass feedstock to… (more)

Dong, Jingyuan

2008-01-01T23:59:59.000Z

484

E-Print Network [OSTI]

from attackers who (via hacking or subpoenas) gain access toagainst attackers who, via hacking or subpoenas, gain accessthe location database D 1 (via hacking or subpoena) and is “

Vyas, Avinash

2011-01-01T23:59:59.000Z

485

Open Energy Info (EERE)

486

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

More Documents & Publications Research Site Locations for Current and Former EERE Postdoctoral Awards EERE: VTO - Red Leaf PNG Image EERE: VTO - Hybrid Bus PNG Image...

487

E-Print Network [OSTI]

point of a Service Oriented Architecture (SOA). Technically,the Web Service Oriented Architecture (SOA) ArchitecturalLocation-Oriented Services for the Web architecture based on

Wilde, Erik

2008-01-01T23:59:59.000Z

488

E-Print Network [OSTI]

Nov 25, 2014 ... Abstract: Facility location decisions play a critical role in transportation planning. In fact, it has recently become essential to study how such ...

Amir Ardestani-Jaafari

2014-11-25T23:59:59.000Z

489

E-Print Network [OSTI]

[9] O'Kelly, M. E., A quadratic integer program for the location of interacting hub facilities, European Journal of Operational Research 32 (1987), pp. 393–404.

2014-11-30T23:59:59.000Z

490

E-Print Network [OSTI]

??This thesis investigates the structure and location of the nanotechnology enterprise in the United States. Nanotechnology merits focus because of the high degree of innovative… (more)

2006-01-01T23:59:59.000Z

491

E-Print Network [OSTI]

sidering the location of two competing facilities on a linear market. ... This perturbs how the market is shared, since the new facilities will ..... Transactions in.

2014-10-30T23:59:59.000Z

492

E-Print Network [OSTI]

Reliability Models for Facility Location: The Expected Failure Cost Case. Lawrence V. Snyder (larry.snyder ***at*** lehigh.edu) Mark S. Daskin (m-daskin *

Lawrence V. Snyder

493

Fueling Station Locator website. It provides information on more than 15,000 public and private alternative fueling stations throughout the United States. The app lists where...

494

Wind Powering America (EERE)

Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Wind Turbine Manufacturers in the U.S.: Locations and Local Impacts WINDPOWER 2010 Conference...

495

Announcement of Change in Public Meeting Location for the Northern Pass Transmission Line Project Published in the Federal Register Announcement of Change in Public Meeting...

496

Open Energy Info (EERE)

NercLocation NercLocation Jump to: navigation, search This is a property of type String. Description: Nerc Location NERC Location: The North American Electric Reliability Corporation (NERC) region where the utility has its primary business operations (service territory), electrical generation, transmission, and distribution equipment, and its administrative headquarters. Some utilities have business operations and service areas in more than one NERC region. Power marketers, because they generally have only office equipment, can have business operations in any NERC region. FRCC = Florida Reliability Coordinating Council; MRO = Midwest Reliability Organization; NPCC = Northeast Power Coordinating Council; RFC = Reliability First Corporation (formerly MAAC, MAIN and ECAR); SERC = SERC Reliability Corporation; SPP =

497

Open Energy Info (EERE)

Insecurity: Where Are the Most Vulnerable Places in Africa? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Locating Climate Insecurity: Where Are the Most Vulnerable...

498

E-Print Network [OSTI]

We used routines from the Callable Library of IBM CPLEX version. 12.1 to solve ..... [23] M. Sun (2006) Solving the uncapacitated facility location problem using.

2011-11-26T23:59:59.000Z

499

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

Location of Natural Gas Production Location of Natural Gas Production Facilities in the Gulf of Mexico 2012 U.S. Energy Information Administration | Natural Gas Annual 102 1,423,239 5.9 Gulf of Mexico - Natural Gas 2012 Million Cu. Feet Percent of National Total Dry Production: Federal Offshore Production trillion cubic feet 0 1 2 3 4 5 6 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Gross Withdrawals from Gas Wells Gross Withdrawals from Oil Wells Table S12. Summary statistics for natural gas - Gulf of Mexico, 2008-2012 Gulf of Mexico - Table S12 2012 U.S. Energy Information Administration | Natural Gas Annual 103 Table S12. Summary statistics for natural gas - Gulf of Mexico, 2008-2012 - continued

500

SciTech Connect (OSTI)

This paper concerns two independent safety investigations on critical and sub-critical heavy liquid metal cooled fast reactors using simple flow paths. The first investigation applies to locating the steam generators in the risers instead of the down-comers of a simple flow path designed sub-critical reactor of 600 MW{sub th} power. This was compared to a similar design, but with the steam generators located in the downcomers. The transients investigated were Total-Loss-of-Power and unprotected Loss-Of-Flow. It is shown that this reactor peaks at 1041 K after 29 hours during a Total-Loss-Of-Power accident. The difference between locating the steam generators in the risers and the downcomers is insignificant for this accident type. During an unprotected Loss-Of-Flow accident at full power, the core outlet temperature stabilizes at 1010 K, which is 337 K above nominal outlet temperature. The second investigation concerns a 1426 MW{sub th} critical reactor where the influence of the core height versus the core outlet temperature is studied during an unprotected Loss-Of-Flow and Total-Loss-Of-Power accident. A pancake type core geometry of 1.0 m height and 5.8 m diameter, is compared to a compact core of 2 m height and 4.5 m diameter. Moderators, like BeO and hydrides, and their influence on safety coefficients and burnup swings are also presented. Both cores incinerate transuranics from spent LWR fuel with minor actinide fraction of 5%. We show that LFRs can be designed both to breed and burn transuranics from LWRs. It is shown that the hydrides lead to the most favorable reactivity feedbacks, but the poorest reactivity swing. The computational fluid dynamics code STAR-CD was used for all thermal hydraulic calculations, and the MCNP and MCB for neutronics, and burn-up calculations. (authors)

Carlsson, Johan; Tucek, Kamil; Wider, Hartmut [Joint Research Centre, Institute for Energy, P.O. Box 2, NL-1755 ZG Petten (Netherlands)

2006-07-01T23:59:59.000Z