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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

METHOD OF LOCATING GROUNDS  

DOE Patents (OSTI)

ABS>This patent presents a method for locating a ground in a d-c circult having a number of parallel branches connected across a d-c source or generator. The complete method comprises the steps of locating the ground with reference to the mildpoint of the parallel branches by connecting a potentiometer across the terminals of the circuit and connecting the slider of the potentiometer to ground through a current indicating instrument, adjusting the slider to right or left of the mildpoint so as to cause the instrument to indicate zero, connecting the terminal of the network which is farthest from the ground as thus indicated by the potentiometer to ground through a condenser, impressing a ripple voltage on the circuit, and then measuring the ripple voltage at the midpoint of each parallel branch to find the branch in which is the lowest value of ripple voltage, and then measuring the distribution of the ripple voltage along this branch to determine the point at which the ripple voltage drops off to zero or substantially zero due to the existence of a ground. The invention has particular application where a circuit ground is present which will disappear if the normal circuit voltage is removed.

Macleish, K.G.

1958-02-11T23:59:59.000Z

2

Method of locating underground mines fires  

DOE Patents (OSTI)

An improved method of locating an underground mine fire by comparing the pattern of measured combustion product arrival times at detector locations with a real time computer-generated array of simulated patterns. A number of electronic fire detection devices are linked thru telemetry to a control station on the surface. The mine's ventilation is modeled on a digital computer using network analysis software. The time reguired to locate a fire consists of the time required to model the mines' ventilation, generate the arrival time array, scan the array, and to match measured arrival time patterns to the simulated patterns.

Laage, Linneas (Eagam, MN); Pomroy, William (St. Paul, MN)

1992-01-01T23:59:59.000Z

3

VCSEL fault location apparatus and method  

DOE Patents (OSTI)

An apparatus for locating a fault within an optical fiber is disclosed. The apparatus, which can be formed as a part of a fiber-optic transmitter or as a stand-alone instrument, utilizes a vertical-cavity surface-emitting laser (VCSEL) to generate a test pulse of light which is coupled into an optical fiber under test. The VCSEL is subsequently reconfigured by changing a bias voltage thereto and is used as a resonant-cavity photodetector (RCPD) to detect a portion of the test light pulse which is reflected or scattered from any fault within the optical fiber. A time interval .DELTA.t between an instant in time when the test light pulse is generated and the time the reflected or scattered portion is detected can then be used to determine the location of the fault within the optical fiber.

Keeler, Gordon A. (Albuquerque, NM); Serkland, Darwin K. (Albuquerque, NM)

2007-05-15T23:59:59.000Z

4

Methods for short-circuit identification and location in automobiles  

E-Print Network (OSTI)

As the number of electrical components in cars increases at a rapid rate, so too does the chance for electrical failure. A method for locating shorts to the chassis of a car is developed in this thesis. The developed ...

Crumlin, Alex Justin

2006-01-01T23:59:59.000Z

5

Method for locating metallic nitride inclusions in metallic alloy ingots  

DOE Patents (OSTI)

A method of determining the location and history of metallic nitride and/or oxynitride inclusions in metallic melts. The method includes the steps of labeling metallic nitride and/or oxynitride inclusions by making a coreduced metallic-hafnium sponge from a mixture of hafnium chloride and the chloride of a metal, reducing the mixed chlorides with magnesium, nitriding the hafnium-labeled metallic-hafnium sponge, and seeding the sponge to be melted with hafnium-labeled nitride inclusions. The ingots are neutron activated and the hafnium is located by radiometric means. Hafnium possesses exactly the proper metallurgical and radiochemical properties for this use.

White, Jack C. (Albany, OR); Traut, Davis E. (Corvallis, OR); Oden, Laurance L. (Albany, OR); Schmitt, Roman A. (Corvallis, OR)

1992-01-01T23:59:59.000Z

6

Practical Methods for Locating Abandoned Wells in Populated Areas  

SciTech Connect

An estimated 12 million wells have been drilled during the 150 years of oil and gas production in the United States. Many old oil and gas fields are now populated areas where the presence of improperly plugged wells may constitute a hazard to residents. Natural gas emissions from wells have forced people from their houses and businesses and have caused explosions that injured or killed people and destroyed property. To mitigate this hazard, wells must be located and properly plugged, a task made more difficult by the presence of houses, businesses, and associated utilities. This paper describes well finding methods conducted by the National Energy Technology Laboratory (NETL) that were effective at two small towns in Wyoming and in a suburb of Pittsburgh, Pennsylvania.

Veloski, G.A.; Hammack, R.W.; Lynn, R.J.

2007-09-01T23:59:59.000Z

7

Total Gamma Count Rate Analysis Method for Nondestructive Assay Characterization  

Science Conference Proceedings (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

8

Geophysics-based method of locating a stationary earth object  

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

9

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

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

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

10

Total System Performance Assessment - License Application Methods and Approach  

Science Conference Proceedings (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

Total System Performance Assessment-License Application Methods and Approach  

SciTech Connect

''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 Issue (KTI) agreements, the ''Yucca Mountain Review Plan'' (CNWRA 2002 [158449]), and 10 CFR Part 63. 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 utilized in this document.

J. McNeish

2002-09-13T23:59:59.000Z

12

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

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

U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information...

13

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

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

Division Total West Mountain Pacific Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

14

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

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC13.7...

15

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

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC12.7...

16

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

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC11.7...

17

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

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

Census Division Total South Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

18

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

Gasoline and Diesel Fuel Update (EIA)

(millions) Census Division Total West Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC14.7...

19

Total  

Gasoline and Diesel Fuel Update (EIA)

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

20

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

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

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

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

Total...................  

Gasoline and Diesel Fuel Update (EIA)

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

22

An innovative method of providing total breaker failure protection  

Science Conference Proceedings (OSTI)

Breaker failure relaying has been generally achieved through the use of a current monitoring relay to determine whether current continues to flow into a fault after a breaker has been instructed to interrupt the circuit. If current continues to flow after a predefined period of time, the circuit breaker is considered to have failed. Steps must then be taken to trip the next set of upstream breakers in the power system to remove the faulted circuit and prevent system damage. However, with industrial power systems, this may be the utility`s breakers on the feeding transmission line. Regardless, breaker failure schemes must be designed to isolate both the faulted circuit and the failed circuit breaker. This paper discusses a new and innovative method of protecting a circuit breaker from the failure described above, plus other failures that go unprotected with conventional schemes, this providing total breaker failure protection.

Stringer, N.T.; Waser, D. [Basler Electric Co., Highland, IL (United States)

1996-09-01T23:59:59.000Z

23

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

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

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

24

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

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

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

25

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

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

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

26

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

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

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

27

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

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

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

28

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

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

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

29

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

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

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

30

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

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

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

31

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

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

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

32

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

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

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

33

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

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

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

34

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

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

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

35

Apparatus and method for quantitatively evaluating total fissile and total fertile nuclide content in samples  

DOE Patents (OSTI)

Simultaneous photon and neutron interrogation of samples for the quantitative determination of total fissile nuclide and total fertile nuclide material present is made possible by the use of an electron accelerator. Prompt and delayed neutrons produced from resulting induced fissions are counted using a single detection system and allow the resolution of the contributions from each interrogating flux leading in turn to the quantitative determination sought. Detection limits for .sup.239 Pu are estimated to be about 3 mg using prompt fission neutrons and about 6 mg using delayed neutrons.

Caldwell, John T. (Los Alamos, NM); Kunz, Walter E. (Santa Fe, NM); Cates, Michael R. (Oak Ridge, TN); Franks, Larry A. (Santa Barbara, CA)

1985-01-01T23:59:59.000Z

36

Poynting-vector based method for determining the bearing and location of electromagnetic sources  

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

37

Method of locating related items in a geometric space for data mining  

DOE Patents (OSTI)

A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method is especially beneficial for communicating databases with many items, and with non-regular relationship patterns. Examples of such databases include databases containing items such as scientific papers or patents, related by citations or keywords. A computer system adapted for practice of the present invention can include a processor, a storage subsystem, a display device, and computer software to direct the location and display of the entities. The method comprises assigning numeric values as a measure of similarity between each pairing of items. A matrix is constructed, based on the numeric values. The eigenvectors and eigenvalues of the matrix are determined. Each item is located in the geometric space at coordinates determined from the eigenvectors and eigenvalues. Proper construction of the matrix and proper determination of coordinates from eigenvectors can ensure that distance between items in the geometric space is representative of the numeric value measure of the items' similarity. 12 figs.

Hendrickson, B.A.

1999-07-27T23:59:59.000Z

38

Method of locating a partially plugged port fuel injector using misfire monitor  

SciTech Connect

This patent describes the method of locating a partially plugged port fuel injector in an internal combustion engine comprising using a misfire monitor to determine that the lean-roll frequency has decreased or ceased after the cylinder associated with the partially plugged port fuel injector is disabled.

Blanke, J.D.

1989-06-27T23:59:59.000Z

39

Method for tracking the location of mobile agents using stand-off detection technique  

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

40

System, method and computer-readable medium for locating physical phenomena  

DOE Patents (OSTI)

A method, system and computer product for detecting the location of a deformation of a structure includes baselining a defined energy transmitting characteristic for each of the plurality of laterally adjacent conductors attached to the structure. Each of the plurality of conductors includes a plurality of segments coupled in series and having an associated unit value representative of the defined energy transmitting characteristic. The plurality of laterally adjacent conductors includes a plurality of identity groups with each identity group including at least one of the plurality of segments from each of the plurality of conductors. Each of the plurality of conductors are monitored for a difference in the defined energy transmitting characteristic when compared with a baseline energy transmitting characteristic for each of the plurality of conductors. When the difference exceeds a threshold value, a location of the deformation along the structure is calculated.

Weseman, Matthew T [Idaho Falls, ID; Rohrbaugh, David T [Idaho Falls, ID; Richardson, John G [Idaho Falls, ID

2008-02-26T23:59:59.000Z

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

Development of improved methods for locating large areas of bypassed oil in Louisiana. Final report  

SciTech Connect

The primary objective of the project was to develop a predictive method for locating Pockets of bypassed mobile oil and estimating the volume of this resource. A secondary objective of the project was to transfer the learned technology to small independent operators who drill a majority of the domestic wells but lack access to a research staff. Another objective was to develop a format for compiling data on Louisiana reservoirs in a form that can be used by government and industry to evaluate the resource and plan future activities. The format developed will be demonstrated using data compiled in the bypassed oil study for selected reservoirs. The project was being funded over a three-year period and was jointly funded by the DOE and the state of Louisiana. The objectives of the project were accomplished using an interdisciplinary approach which included the disciplines of engineering, geology, and computer science. The work was organized into the following major tasks: Selection of reservoirs for study of bypassed oil potential; development of improved reservoir simulator for bypassed oil prospecting; an interdisciplinary reservoir characterization study of Louisiana reservoirs; active modelling of bypassed oil for three Louisiana reservoirs; and technology transfer activities.

Bourgoyne, A.T. Jr.; Kimbrell, C.

1994-07-01T23:59:59.000Z

42

A new method for indoor location base on radio frequency identification  

Science Conference Proceedings (OSTI)

In recent years, there has dramatic proliferation of research concerned with Radio Frequency Identification (RFID). The RFID technologies are getting considerable attentions not only academic research but also the applications of enterprise. One of most ... Keywords: LANDMRC, RFID, RSS, indoor position location, location identification, powel level

Rung-Ching Chen; Sheng-Ling Huang

2009-07-01T23:59:59.000Z

43

Ion binding compounds, radionuclide complexes, methods of making radionuclide complexes, methods of extracting radionuclides, and methods of delivering radionuclides to target locations  

DOE Patents (OSTI)

The invention pertains to compounds for binding lanthanide ions and actinide ions. The invention further pertains to compounds for binding radionuclides, and to methods of making radionuclide complexes. Also, the invention pertains to methods of extracting radionuclides. Additionally, the invention pertains to methods of delivering radionuclides to target locations. In one aspect, the invention includes a compound comprising: a) a calix[n]arene group, wherein n is an integer greater than 3, the calix[n]arene group comprising an upper rim and a lower rim; b) at least one ionizable group attached to the lower rim; and c) an ion selected from the group consisting of lanthanide and actinide elements bound to the ionizable group. In another aspect, the invention includes a method of extracting a radionuclide, comprising: a) providing a sample comprising a radionuclide; b) providing a calix[n]arene compound in contact with the sample, wherein n is an integer greater than 3; and c) extracting radionuclide from the sample into the calix[n]arene compound. In yet another aspect, the invention includes a method of delivering a radionuclide to a target location, comprising: a) providing a calix[n]arene compound, wherein n is an integer greater than 3, the calix[n]arene compound comprising at least one ionizable group; b) providing a radionuclide bound to the calix[n]arene compound; and c) providing an antibody attached to the calix[n]arene compound, the antibody being specific for a material found at the target location.

Chen, Xiaoyuan (Syracuse, NY); Wai, Chien M. (Moscow, ID); Fisher, Darrell R. (Richland, WA)

2000-01-01T23:59:59.000Z

44

Apparatus and method for quantitatively evaluating total fissile and total fertile nuclide content in samples. [Patent application  

DOE Patents (OSTI)

Simultaneous photon and neutron interrogation of samples for the quantitative determination of total fissile nuclide and total fertile nuclide material present is made possible by the use of an electron accelerator. Prompt and delayed neutrons produced from resulting induced fission are counted using a single detection system and allow the resolution of the contributions from each interrogating flux leading in turn to the quantitative determination sought. Detection limits for /sup 239/Pu are estimated to be about 3 mg using prompt fission neutrons and about 6 mg using delayed neutrons.

Caldwell, J.T.; Kunz, W.E.; Cates, M.R.; Franks, L.A.

1982-07-07T23:59:59.000Z

45

New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation  

Science Conference Proceedings (OSTI)

Image restoration is one of the most classical problems in image processing. The main issues of image restoration are deblurring, denoising and preserving fine details. In order to obtain good restored images, we propose a new image restoration method ... Keywords: Image restoration, Tetrolet transform, Weighted anisotropic total variation

Liqian Wang; Liang Xiao; Jun Zhang; Zhihui Wei

2013-04-01T23:59:59.000Z

46

Nondestructive Evaluation: Study of the Enhancements to the Total Focusing Method  

Science Conference Proceedings (OSTI)

This report summarizes the results of a study to evaluate and document potential enhancements to the total focusing method (TFM). The goals of the study were to observe the level of performance of the TFM as compared to conventional scanning techniques and to analyze the potential improvements offered by two enhanced versions of the TFM.BackgroundThe now commonplace availability of ultrasonic phased arrays and the ever-decreasing cost of high computing power ...

2012-11-29T23:59:59.000Z

47

Method and apparatus for recovering a gas from a gas hydrate located on the ocean floor  

DOE Patents (OSTI)

A method and apparatus for recovering a gas from a gas hydrate on the ocean floor includes a flexible cover, a plurality of steerable base members secured to the cover, and a steerable mining module. A suitable source for inflating the cover over the gas hydrate deposit is provided. The mining module, positioned on the gas hydrate deposit, is preferably connected to the cover by a control cable. A gas retrieval conduit or hose extends upwardly from the cover to be connected to a support ship on the ocean surface.

Wyatt, Douglas E. (Aiken, SC)

2001-01-01T23:59:59.000Z

48

ANALYTICAL METHOD FOR MEASURING TOTAL PROTIUM AND TOTAL DEUTERIUM IN A GAS MIXTURE CONTAINING H2, D2,AND HD VIA GAS CHAROMATOGRAPHY  

DOE Green Energy (OSTI)

The most common analytical method of identifying and quantifying non-radioactive isotopic species of hydrogen is mass spectrometry. A low mass, high resolution mass spectrometer with adequate sensitivity and stability to identify and quantify hydrogen isotopes in the low ppm range is an expensive, complex instrument. A new analytical technique has been developed that measures both total protium (H) and total deuterium (D) in a gas mixture containing H{sub 2}, D{sub 2}, and HD using an inexpensive micro gas chromatograph (GC) with two molecular sieve columns. One column uses D{sub 2} as the carrier gas and the other uses H{sub 2} as the carrier gas. Laboratory tests have shown that when used in this configuration the GC can measure both total protium and total deuterium each with a detection and quantification limit of less than 20 ppm.

Sessions, H

2007-08-07T23:59:59.000Z

49

Identification of Unknown Interface Locations in a Source/Shield System Using the Mesh Adaptive Direct Search Method  

SciTech Connect

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

50

Methods for detecting and locating leaks in containment facilities using electrical potential data and electrical resistance tomographic imaging techniques  

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

51

Methods for detecting and locating leaks in containment facilities using electrical potential data and electrical resistance tomographic imaging techniques  

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

52

Methods for detecting and locating leaks in containment facilities using electrical potential data and electrical resistance tomographic imaging techniques  

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

53

A method for evaluating bias in global measurements of CO2 total columns from space  

E-Print Network (OSTI)

abundances at the Wisconsin Tall Tower site, J. Geophys.from the co-located tall tower when they were available.

Wunch, D.

2013-01-01T23:59:59.000Z

54

Quality of Total Ozone Measured by the Focused Sun Method Using a Brewer Spectrophotometer  

Science Conference Proceedings (OSTI)

Strong ozone depletions and large natural variations in total ozone have been observed at high latitudes. Accurate measurements of total ozone are important so as not to misinterpret the involved processes and to track correctly the variations. ...

Weine Josefsson

2003-01-01T23:59:59.000Z

55

PAD District / Refinery Location Total Atmospheric Distillation  

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.

56

PAD District / Refinery Location Total Atmospheric Distillation  

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

57

Study on New Methods of Improving the Accuracy of Leak Detection and Location of Natural Gas Pipeline  

Science Conference Proceedings (OSTI)

As negative pressure wave is applied to leak detection and location of natural gas pipeline, the key is how to realize accurate measurement of propagation velocity of pressure wave and time difference. However, there exists problem of lower accuracy ... Keywords: natural gas pipeline, leak detection and location, negative pressure wave, wavelet transform, singularity detection

Shuqing Zhang; Tianye Gao; Hong Xu; Guangpu Hao; Zhongdong Wang

2009-04-01T23:59:59.000Z

58

Classification of total load demand profiles for war-ships based on pattern recognition methods  

Science Conference Proceedings (OSTI)

The classification of total load demand profiles for every type of war-ships is crucial information, because it is the necessary base for a series of studies and operations, such as load estimation, load shedding and power management systems. In this ... Keywords: adequacy measures, clustering algorithms, load profiles, pattern recognition, warship

G. J. Tsekouras; I. S. Karanasiou; F. D. Kanellos

2011-07-01T23:59:59.000Z

59

Apparatus and method for detecting a magnetic anomaly contiguous to remote location by SQUID gradiometer and magnetometer systems  

DOE Patents (OSTI)

A superconducting quantum interference device (SQUID) magnetic detection apparatus detects magnetic fields, signals, and anomalies at remote locations. Two remotely rotatable SQUID gradiometers may be housed in a cryogenic environment to search for and locate unambiguously magnetic anomalies. The SQUID magnetic detection apparatus can be used to determine the azimuth of a hydrofracture by first flooding the hydrofracture with a ferrofluid to create an artificial magnetic anomaly therein.

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

1981-05-22T23:59:59.000Z

60

Total Matrix Intercomparison: A Method for Determining the Geometry of Water-Mass Pathways  

Science Conference Proceedings (OSTI)

Ocean tracer distributions have long been used to decompose the deep ocean into constituent water masses, but previous inverse methods have generally been limited to just a few water masses that have been defined by a subjective choice of static ...

Geoffrey Gebbie; Peter Huybers

2010-08-01T23:59:59.000Z

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.


61

Project Location  

E-Print Network (OSTI)

USGS quadrangle base-map. 2. Plot Plan with Exploration Data with Building Footprint: 1 boring or exploration shaft per 5000 ft 2, with minimum of 2 for any one building. Exploratory trench locations. 3. Site Coordinates: (Latitude & Longitude) Engineering Geology/Site Characterization 4. Regional Geology and Regional Fault Maps: Concise page-sized illustrations with site plotted. 5. Geologic Map of Site: Detailed (large-scale) geologic map with proper symbols and geologic legend. 6. Subsurface Geology: Engineering geology description summarized from boreholes or trench logs. Summarize ground water conditions. 7. Geologic Cross Sections: Two or more detailed geologic sections with pertinent foundations and site grading. 8. Active Faulting & Coseismic Deformation Across Site: Prepare page-sized extract map of Alquist-Priolo Earthquake Fault Zones and/or any potential fault rupture hazard identified from the Safety Element of the local agency (city or county); show location of fault investigation trenches; 50-foot setbacks perpendicular from fault plane and proposed

Date Reviewed __________________________

2007-01-01T23:59:59.000Z

62

Distribution Fault Location Support Tools, Algorithms, and Implementation Approaches  

Science Conference Proceedings (OSTI)

Distribution grid modernization applications such as fault location and automatic sectionalizing require an accurate assessment of fault current. More-accurate prediction of fault locations will shorten the fault investigation (patrol) time, which in turn can reduce the total restoration time and duration of the outage experienced by the customer. This EPRI technical update report presents information on fault location applications, enumerates different methods used to detect the location of faults, ...

2013-08-14T23:59:59.000Z

63

Modern Methods for Lipid AnalysisChapter 12 Toward Total Cellular Lipidome Analysis by ESI Mass Spectrometry from a Crude Lipid Extract  

Science Conference Proceedings (OSTI)

Modern Methods for Lipid Analysis Chapter 12 Toward Total Cellular Lipidome Analysis by ESI Mass Spectrometry from a Crude Lipid Extract Methods and Analyses eChapters Methods - Analyses Books AOCS Press Downloadable pdf ...

64

The use of Ixaru's method in locating the poles of the S-matrix in strictly finite-range potentials  

Science Conference Proceedings (OSTI)

Energies of the S-matrix poles are calculated by solving the radial Schroedinger equation numerically by using Ixaru's CPM(2) method. The trajectories of the poles in the complex wave number plane are determined for two nuclear potentials that are zero beyond finite distances. These are the Woods-Saxon form with cutoff and the Salamon-Vertse potential, which goes to zero smoothly at a finite distance. Properties of the trajectories are analyzed for real and complex values of the depths of the corresponding potentials.

Vertse, Tamas; Lovas, R. G.; Racz, A.; Salamon, P. [University of Debrecen, Faculty of Informatics, Chair of Applied Mathematics and Probability, Debrecen, Hungary and Institute of Nuclear Research of the Hungarian Academy of Sciences, Debrecen (Hungary); Institute of Nuclear Research of the Hungarian Academy of Sciences, Debrecen (Hungary); University of Debrecen, Faculty of Informatics, Chair of Applied Mathematics and Probability, Debrecen (Hungary); Institute of Nuclear Research of the Hungarian Academy of Sciences, Debrecen (Hungary)

2012-09-26T23:59:59.000Z

65

Possible Methods to Estimate Core Location in a Beyond-Design-Basis Accident at a GE BWR with a Mark I Containment Stucture  

SciTech Connect

It is difficult to track to the location of a melted core in a GE BWR with Mark I containment during a beyond-design-basis accident. The Cooper Nuclear Station provided a baseline of normal material distributions and shielding configurations for the GE BWR with Mark I containment. Starting with source terms for a design-basis accident, methods and remote observation points were investigated to allow tracking of a melted core during a beyond-design-basis accident. The design of the GE BWR with Mark-I containment highlights an amazing poverty of expectations regarding a common mode failure of all reactor core cooling systems resulting in a beyond-design-basis accident from the simple loss of electric power. This design is shown in Figure 1. The station blackout accident scenario has been consistently identified as the leading contributor to calculated probabilities for core damage. While NRC-approved models and calculations provide guidance for indirect methods to assess core damage during a beyond-design-basis loss-of-coolant accident (LOCA), there appears to be no established method to track the location of the core directly should the LOCA include a degree of fuel melt. We came to the conclusion that - starting with detailed calculations which estimate the release and movement of gaseous and soluble fission products from the fuel - selected dose readings in specific rooms of the reactor building should allow the location of the core to be verified.

Walston, S; Rowland, M; Campbell, K

2011-07-27T23:59:59.000Z

66

Entrance Maze Locations  

NLE Websites -- All DOE Office Websites (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

67

Magma Source Location Survey  

DOE Green Energy (OSTI)

A survey of Industry/University geophysicists was conducted to obtain their opinions on the existence of shallow (less than 10 km from surface) magma bodies in the western conterminous United States and methods for locating and defining them. Inputs from 35 individuals were received and are included. Responses were that shallow magma bodies exist and that existing geophysical sensing systems are adequate to locate them.

Hardee, H.C.; Dunn, J.C.; Colp, J.L.

1982-03-01T23:59:59.000Z

68

Method of normalizing the measured scattered light from a surface defect located arbitrarily in a Gaussian intensity distribution incident on the surface  

SciTech Connect

The intensity distribution of the beam from a laser operated in the TEM/sub infinity/ mode is Gaussian in a plane perpendicular to the axis of the beam. In some applications it is desirable to have a uniform intensity over a certain region in space. For example, when a Gaussian beam is incident on a smooth surface containing small isolated defects the light scattered by a defect will depend on the position of the defect relative to the center of the beam. In the past, several techniques have been devised to convert a Gaussian intensity profile into a uniform intensity over a specified region in space. In the present work a different approach is taken. A method of normalization is described which makes direct use of the Gaussian intensity distribution of the TEM/sub infinity/ mode. By this method, the amount of light scattered by a defect can be normalized to the value which would be observed if the defect were located at the center of the beam, for a defect small in size compared with the l/e/sup 2/ diameter of the Gaussian profile. The normalization requires that three measurements be made of the scattering by the defect for an arbitrary location of the defect relative to the center of the beam. Experimental data was obtained which verifies the theory.

Klingsporn, P.E.

1979-08-01T23:59:59.000Z

69

Optimal fault location  

E-Print Network (OSTI)

Basic goal of power system is to continuously provide electrical energy to the users. Like with any other system, failures in power system can occur. In those situations it is critical that correct remedial actions are applied as soon as possible after the accurate fault condition and location are detected. This thesis has been focusing on automated fault location procedure. Different fault location algorithms, classified according to the spatial placement of physical measurements on single ended, multiple ended and sparse system-wide, are investigated. As outcome of this review, methods are listed as function of different parameters that influence their accuracy. This comparison is than used for generating procedure for optimal fault location algorithm selection. According to available data, and position of the fault with respect to the data, proposed procedure decides between different algorithms and selects an optimal one. A new approach is developed by utilizing different data structures such as binary tree and serialization in order to efficiently implement algorithm decision engine. After accuracy of algorithms is strongly influenced by available input data, different data sources are recommended in proposed architecture such as the digital fault recorders, circuit breaker monitoring, SCADA, power system model and etc. Algorithm for determining faulted section is proposed based on the data from circuit breaker monitoring devices. This algorithm works in real time by recognizing to which sequence of events newly obtained recording belongs. Software prototype of the proposed automated fault location analysis is developed using Java programming language. Fault location analysis is automatically triggered by appearance of new event files in a specific folder. The tests were carried out using the real life transmission system as an example.

Knezev, Maja

2007-12-01T23:59:59.000Z

70

Electric current locator  

DOE Patents (OSTI)

The disclosure herein provides an apparatus for location of a quantity of current vectors in an electrical device, where the current vector has a known direction and a known relative magnitude to an input current supplied to the electrical device. Mathematical constants used in Biot-Savart superposition equations are determined for the electrical device, the orientation of the apparatus, and relative magnitude of the current vector and the input current, and the apparatus utilizes magnetic field sensors oriented to a sensing plane to provide current vector location based on the solution of the Biot-Savart superposition equations. Description of required orientations between the apparatus and the electrical device are disclosed and various methods of determining the mathematical constants are presented.

King, Paul E. (Corvallis, OR); Woodside, Charles Rigel (Corvallis, OR)

2012-02-07T23:59:59.000Z

71

Total Crude by Pipeline  

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

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

72

national total  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA--Table Posted: December 8, ...

73

Location and Infrastructure  

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

Facts, Figures Location and Infrastructure Location and Infrastructure LANL's mission is to develop and apply science and technology to ensure the safety, security, and...

74

Sandia National Laboratories: Locations  

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

around the world. Sandia's executive management offices and larger laboratory complex are located in Albuquerque, New Mexico. Our second principal laboratory is located...

75

Measuring Total Dissolved Methylmercury: Comparison of a Novel Method With a Standard Method for Extracting and Quantitating Methylmercury in Stream Water Samples  

Science Conference Proceedings (OSTI)

In most environmental systems, mercury (Hg) occurs in one or more of the following distinct chemical forms: elemental (Hg0), divalent (Hg2+), monomethyl (MMHg), methyl (MeHg), and dimethyl (DMHg). The United States Environmental Protection Agency (USEPA) standard method of measuring dissolved MMHg uses distillation to extract MeHg from freshwater samples in preparation for Hg speciation analysis by aqueous ethylation and gas chromatography. Recently, a novel method of Hg ...

2013-12-03T23:59:59.000Z

76

A Method of Detecting Change in the Ice Conditions of the Central Greenland Sea by the Whelping Locations of Harp Seals  

Science Conference Proceedings (OSTI)

Variations in the extent of sea ice within the Greenland Sea on daily, seasonal, or longer time scales are well documented, while changes in ice conditions are not. By combining historical information on the location and timing of the hunt for ...

J. P. Wilkinson; P. Wadhams

2005-04-01T23:59:59.000Z

77

Total Imports  

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

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

78

Research Results from A Few Alternate Methods of Interior Duct Systems in Factory Built Housing Located In the Hot Humid Climate  

E-Print Network (OSTI)

The U.S. Department of Energy’s (DOE) Building America1 Industrialized Housing Partnership (BAIHP) has collaborated with two of its industry partners to work on a portion of the project that relates to the construction and evaluation of prototype interior duct systems. In 2006, work began on a duct system design that would locate the entire length of duct work within the air and thermal barriers of the envelope. One of these designs incorporated a high-side supply register that connects to the conventional floor duct. The other design utilized a single soffit located within the conditioned space at the marriage line. The Florida Solar Energy Center’s (FSEC) Manufactured Housing Lab (MHLab) was retrofitted with an interior soffit duct. The duct system was added on so that either the attic duct system or the new interior duct system would be able to supply air to the conditioned space using the same mechanical equipment. The initial results of this work show approximately a 10% to 20% heating/cooling savings when compared to conventional attic duct work construction techniques and nearly 7% savings when compared to a conventional in-floor system.

Moyer, N.; Stroer, D.; Hoak, D.; McIlvaine, J.; Chandra, S.

2008-12-01T23:59:59.000Z

79

Abstract--In classical TDOA/FDOA emitter location methods, pairs of sensors share the received data to compute the CAF and  

E-Print Network (OSTI)

; Distribution Unlimited: 88ABW-2012-0924, 23-Feb-2012 The authors are with Department of Electrical and Computer data to compute the CAF and extract the ML estimates of TDOA/FDOA. The TDOA/FDOA estimates. In this paper, we derive a one-stage localization method based on spatial sparsity of the grid plane

Fowler, Mark

80

ARM - Instrument Location Table  

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

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

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

Test Cell Location  

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

2012 Fiat 500 Test Cell Location 2WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional Vehicle Dynamometer...

82

Test Cell Location  

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

2013 Nissan Altima Test Cell Location 2WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional Vehicle...

83

Test Cell Location  

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

Focus Test Cell Location 2WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional Vehicle Dynamometer Input...

84

Test Cell Location  

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

Chrysler 300 Test Cell Location 2WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional Vehicle Dynamometer...

85

Test Cell Location  

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

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...

86

Facility location: distributed approximation  

Science Conference Proceedings (OSTI)

In this paper, we initiate the study of the approximability of the facility location problem in a distributed setting. In particular, we explore a trade-off between the amount of communication and the resulting approximation ratio. We give a distributed ... Keywords: distributed approximation, facility location, linear programming, primal-dual algorithms

Thomas Moscibroda; Rogert Wattenhofer

2005-07-01T23:59:59.000Z

87

Reading Room Locations  

NLE Websites -- All DOE Office Websites (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

88

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect

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

89

Underground Cable Fault Location Reference and Application Guide  

Science Conference Proceedings (OSTI)

This report summarizes underground cable fault location methods and details the application of the methods for transmission and distribution cable systems. It summarizes both terminal location and tracer location methods that can be applied to transmission and distribution cable systems. The report is an update to a summary of fault location methods. It provides practical technical material in the art and science of locating cable faults, including a description of common fault location instruments and p...

2011-12-23T23:59:59.000Z

90

Pine Tree Growth Locations  

NLE Websites -- All DOE Office Websites (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

91

location | OpenEI  

Open Energy Info (EERE)

location location Dataset Summary Description No description given. Source Oak Ridge National Laboratory Date Released November 30th, 2009 (5 years ago) Date Updated Unknown Keywords biodiesel ethanol location production capacity transportation Data application/zip icon Biorefineries.zip (zip, 7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating.

92

Ultrasonic methods for locating hold-up  

SciTech Connect

Hold-up remains one of the major contributing factors to unaccounted for materials and can be a costly problem in decontamination and decommissioning activities. Ultrasonic techniques are being developed to noninvasively monitor hold-up in process equipment where the inner surface of such equipment may be in contact with the hold-up material. These techniques may be useful in improving hold-up measurements as well as optimizing decontamination techniques.

Sinha, D.N.; Olinger, C.T.

1995-09-01T23:59:59.000Z

93

University Location Project Description  

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

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.

94

Location-based communication services  

Science Conference Proceedings (OSTI)

Our demo shows end-user-oriented location-based services based on application-layer, human understandable location descriptions. Keywords: internet telephony, location-based services

Xiaotao Wu; Ron Shacham; Matthew J. Mintz-Habib; Kundan Singh; Henning Schulzrinne

2004-10-01T23:59:59.000Z

95

Projects Completed Year-to-Date Grand Total: $114,360,905 1,038,467Grand Total SF:Text25:09-Nov-10  

E-Print Network (OSTI)

Project Location: Branch Campus Architect Project Cost Project Name SFContractor Project Start/End Project,983,29974,624Total SF:Total Projects 5Totals for Branch Campus Project Location: HSC Architect Project Cost Project/30/2010 Mary Gauer Total Cost: $13,070,289118,332Total SF:Total Projects 12Totals for HSC Project Location

New Mexico, University of

96

Automated Fault Location In Smart Distribution Systems  

E-Print Network (OSTI)

Fault location in distribution systems is a critical component of outage management and service restoration, which directly impacts feeder reliability and quality of the electricity supply. Improving fault location methods supports the Department of Energy (DOE) “Grid 2030” initiatives for grid modernization by improving reliability indices of the network. Improving customer average interruption duration index (CAIDI) and system average interruption duration index (SAIDI) are direct advantages of utilizing a suitable fault location method. As distribution systems are gradually evolving into smart distribution systems, application of more accurate fault location methods based on gathered data from various Intelligent Electronic Devices (IEDs) installed along the feeders is quite feasible. How this may be done and what is the needed methodology to come to such solution is raised and then systematically answered. To reach this goal, the following tasks are carried out: 1) Existing fault location methods in distribution systems are surveyed and their strength and caveats are studied. 2) Characteristics of IEDs in distribution systems are studied and their impacts on fault location method selection and implementation are detailed. 3) A systematic approach for selecting optimal fault location method is proposed and implemented to pinpoint the most promising algorithms for a given set of application requirements. 4) An enhanced fault location method based on voltage sag data gathered from IEDs along the feeder is developed. The method solves the problem of multiple fault location estimations and produces more robust results. 5) An optimal IED placement approach for the enhanced fault location method is developed and practical considerations for its implementation are detailed.

Lotfifard, Saeed

2011-08-01T23:59:59.000Z

97

Clean Cities: Coalition Locations  

Alternative Fuels and Advanced Vehicles Data Center (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

98

Clean Cities: Coalition Locations  

NLE Websites -- All DOE Office Websites (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

99

Test Cell Location  

NLE Websites -- All DOE Office Websites (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

100

Table 5. Refiners' Total Operable Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

CORPORATION / Refiner / Location Table 5. Refiners' Total Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2011 Calendar 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.


101

Table 5. Refiners' Total Operable Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

CORPORATION / Refiner / Location Table 5. Refiners' Total Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2009 Calendar Day

102

Test Cell Location  

NLE Websites -- All DOE Office Websites (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

103

Methods of Using Existing Wire Lines (power lines, phone lines, internet lines) for Totally Secure Classical Communication Utilizing Kirchoff's Law and Johnson-like Noise  

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

104

Reconstructing Spatial Distributions from Anonymized Locations  

SciTech Connect

Devices such as mobile phones, tablets, and sensors are often equipped with GPS that accurately report a person's location. Combined with wireless communication, these devices enable a wide range of new social tools and applications. These same qualities, however, leave location-aware applications vulnerable to privacy violations. This paper introduces the Negative Quad Tree, a privacy protection method for location aware applications. The method is broadly applicable to applications that use spatial density information, such as social applications that measure the popularity of social venues. The method employs a simple anonymization algorithm running on mobile devices, and a more complex reconstruction algorithm on a central server. This strategy is well suited to low-powered mobile devices. The paper analyzes the accuracy of the reconstruction method in a variety of simulated and real-world settings and demonstrates that the method is accurate enough to be used in many real-world scenarios.

Horey, James L [ORNL; Forrest, Stephanie [University of New Mexico, Albuquerque; Groat, Michael [University of New Mexico, Albuquerque

2012-01-01T23:59:59.000Z

105

Mobile Alternative Fueling Station Locator  

Alternative Fuels and Advanced Vehicles Data Center (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

106

Wideband source location through frequency-dependent modeling  

Science Conference Proceedings (OSTI)

This paper describes a method for locating multiple wideband sources using the signals received by an array of sensors. In the present approach, the problem of source location is treated as a frequency dependent estimation problem. Each wideband source ...

Y. Grenier

1994-05-01T23:59:59.000Z

107

Mobility-supporting data management for location-based mobile systems: the special case of single category location repositories  

Science Conference Proceedings (OSTI)

Location-based mobile applications require timely generation of user-centric proximities from application-relevant repositories of business locations. The proximity generation requirement is poorly served by conventional query resolution methods which ...

James E. Wyse

2012-05-01T23:59:59.000Z

108

Mobile Alternative Fueling Station Locator  

Science Conference Proceedings (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

109

Precision zero-home locator  

DOE Patents (OSTI)

A zero-home locator includes a fixed phototransistor switch and a moveable actuator including two symmetrical, opposed wedges, each wedge defining a point at which switching occurs. The zero-home location is the average of the positions of the points defined by the wedges.

Stone, William J. (Kansas City, MO)

1986-01-01T23:59:59.000Z

110

Precision zero-home locator  

DOE Patents (OSTI)

A zero-home locator includes a fixed phototransistor switch and a moveable actuator including two symmetrical, opposed wedges, each wedge defining a point at which switching occurs. The zero-home location is the average of the positions of the points defined by the wedges.

Stone, W.J.

1983-10-31T23:59:59.000Z

111

Total Crude by All Transport Methods  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: See Definitions ...

112

Analysis of facility location model using Bayesian Networks  

Science Conference Proceedings (OSTI)

In this study, we propose an integrated approach that combines Bayesian Networks and Total Cost of Ownership (TCO) to address complexities involved in selecting an international facility for a manufacturing plant. Our goal is to efficiently represent ... Keywords: Bayesian Networks, Facility location, Total Cost of Ownership (TCO)

Ibrahim Dogan

2012-01-01T23:59:59.000Z

113

Joint optimization of location and inventory decisions for improving supply chain cost performance  

E-Print Network (OSTI)

This dissertation is focused on investigating the integration of inventory and facility location decisions in different supply chain settings. Facility location and inventory decisions are interdependent due to the economies of scale that are inherent in transportation and replenishment costs. The facility location decisions have an impact on the transportation and replenishment costs which, in turn, affect the optimal inventory policy. On the other hand, the inventory policy dictates the frequency of shipments to replenish inventory which, in turn, affects the number of deliveries, and, hence, the transportation costs, between the facilities. Therefore, our main research objectives are to: • compare the optimal facility location, determined by minimizing total transportation costs, to the one determined by the models that also consider the timing and quantity of inventory replenishments and corresponding costs, • investigate the effect of facility location decisions on optimal inventory decisions, and • measure the impact of integrated decision-making on overall supply chain cost performance. Placing a special emphasis on the explicit modeling of transportation costs, we develop several novel models in mixed integer linear and nonlinear optimization programming. Based on how the underlying facility location problem is modeled, these models fall into two main groups: 1) continuous facility location problems, and 2) discrete facility location problems. For the stylistic models, the focus is on the development of analytical solutions. For the more general models, the focus is on the development of efficient algorithms. Our results demonstrate • the impact of explicit transportation costs on integrated decisions, • the impact of different transportation cost functions on integrated decisions in the context of continuous facility location problems of interest, • the value of integrated decision-making in different supply chain settings, and • the performance of solution methods that jointly optimize facility location and inventory decisions.

Keskin, Burcu Baris

2007-12-01T23:59:59.000Z

114

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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...

115

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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*...

116

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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*...

117

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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...

118

Major DOE Biofuels Project Locations  

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

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)

119

Information about DOE Locations | Department of Energy  

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

Information about DOE Locations Information about DOE Locations The following chart provides information about the FOIA program at each of the locations. You can link to the...

120

Energy Storage Demonstration Project Locations | Department of...  

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

Demonstration Project Locations Energy Storage Demonstration Project Locations Map of the United States showing the location of Energy Storage Demonstration projects created with...

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

Energy Storage Demonstration Project Locations | Department of...  

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

Energy Storage Demonstration Project Locations Energy Storage Demonstration Project Locations Map of the United States showing the location of Energy Storage Demonstration projects...

122

station locations | OpenEI  

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

123

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

124

U.S. Total Exports  

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

TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Kenai, AK Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

125

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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...

126

Vacuum State/Refiner/Location  

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

127

21 briefing pages total  

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

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

128

Title, Location, Document Number Estimated Cost Description  

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

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

129

Barge Truck Total  

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

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

130

Summary Max Total Units  

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

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

131

Major DOE Biofuels Project Locations  

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

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

132

Method  

E-Print Network (OSTI)

Abstract: The biodegradabilities of poly(butylene succinate) (PBS) powders in a controlled compost at 58 °C have been studied using a Microbial Oxidative Degradation Analyzer (MODA) based on the ISO 14855-2 method, entitled “Determination of the ultimate aerobic biodegradability of plastic materials under controlled composting conditions—Method by analysis of evolved carbon dioxide—Part 2: Gravimetric measurement of carbon dioxide evolved in a laboratory-scale test”. The evolved CO2 was trapped by an additional aqueous Ba(OH)2 solution. The trapped BaCO3 was transformed into graphite via a serial vaporization and reduction reaction using a gas-tight tube and vacuum manifold system. This graphite was analyzed by accelerated mass spectrometry (AMS) to determine the percent modern carbon [pMC (sample)] based on the 14 C radiocarbon concentration. By using the theory that pMC (sample) was the sum of the pMC (compost) (109.87%) and pMC (PBS) (0%) as the respective ratio in the determined period, the CO2 (respiration) was calculated from only one reaction vessel. It was found that the biodegradabilities determined by the CO2 amount from PBS in the sample vessel were about 30 % lower than those based on the ISO method. These differences between the

Masao Kunioka; Fumi Ninomiya; Masahiro Funabashi

2009-01-01T23:59:59.000Z

133

The LHCb Vertex Locator performance and Vertex Locator upgrade  

E-Print Network (OSTI)

LHCb is an experiment dedicated to the study of new physics in the decays of beauty and charm hadrons at the Large Hadron Collider (LHC) at CERN. The Vertex Locator (VELO) is the silicon detector surrounding the LHCb interaction point. The detector operates in a severe and highly non-uniform radiation environment. The small pitch and analogue readout result in a best single hit precision of 4 $\\rm \\mu$m. The upgrade of the LHCb experiment, planned for 2018, will transform the entire readout to a trigger-less system operating at 40 MHz event rate. The vertex detector will have to cope with radiation levels up to 10$^{16}$ 1 MeV$\\rm n_{eq}/cm^2$, more than an order of magnitude higher than those expected at the current experiment. A solution is under development with a pixel detector, based on the Timepix/Medipix family of chips with 55 x 55 $\\rm \\mu m$ pixels. In addition a micro-strip solution is also under development, with finer pitch, higher granularity and lower mass than the current detector. The current status of the VELO will be described together with recent testbeam results.

Pablo Rodríguez Pérez; for the LHCb VELO Group; for the VELO Upgrade group

2012-09-21T23:59:59.000Z

134

Positron Scanner for Locating Brain Tumors  

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

135

Active location tracking for projected reality using Wiimotes  

Science Conference Proceedings (OSTI)

Some addressed issues in projected reality are location acquisition, limited work space, and geometric distortion. This paper proposes a low-cost, robust, fast, and simple method for handling addressed problems using infrared camera in Nintendo's Wiimotes ... Keywords: augmented reality, perspective location tracking, projected reality

Siam Charoenseang; Nemin Suksen

2011-07-01T23:59:59.000Z

136

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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...

137

Ultra-wideband Location Authentication for Item Tracking  

SciTech Connect

International safeguards is increasingly utilizing unattended and remote monitoring methods to improve inspector efficiency and the timeliness of diversion detection. Item identification and tracking has been proposed as one unattended remote monitoring method, and a number of radio-frequency (RF) technologies have been proposed. When utilizing location information for verification purposes, strong assurance of the authenticity of the reported location is required, but most commercial RF systems are vulnerable to a variety of spoofing and relay attacks. ORNL has developed a distance bounding method that uses ultra-wideband technology to provide strong assurance of item location. This distance bounding approach can be coupled with strong symmetric key authentication methods to provide a fully authenticable tracking system that is resistant to both spoofing and relay attacks. This paper will discuss the overall problems associated with RF tracking including the common spoofing and relay attack scenarios, the ORNL distance bounding approach for authenticating location, and the potential applications for this technology.

Rowe, Nathan C [ORNL; Kuhn, Michael J [ORNL; Stinson, Brad J [ORNL; Holland, Stephen A [ORNL

2012-01-01T23:59:59.000Z

138

METHOD  

E-Print Network (OSTI)

Environmental Management, Inc. It has been subject to the Agency’s peer and administrative review, and it has been approved for publication as an EPA document. The opinions, findings, and conclusions expressed herein are those of the contractor and not necessarily those of the EPA or other cooperating agencies. Mention of company or product names is not to be construed as an endorsement by the agency. Foreword The U.S. Environmental Protection Agency is charged by Congress with protecting the Nation’s land, air, and water resources. Under a mandate of national environmental laws, the Agency strives to formulate and implement actions leading to a compatible balance between human activities and the ability of natural systems to support and nurture life. To meet this mandate, EPA’s research program is providing data and technical support for solving environmental problems today and building a science knowledge base necessary to manage our ecological resources wisely, understand how pollutants affect our health, and prevent or reduce environmental risks in the future. The National Risk Management Research Laboratory is the Agency’s center for investigation of technological and management approaches for reducing risks from threats to human health and the environment. The focus of the Laboratory’s research program is on methods for the prevention and control of pollution to air, land, water and subsurface resources; protection of water quality in public water systems; remediation of contaminated sites and ground water; and prevention and control of indoor air pollution. The goal of this research effort is to catalyze development and implementation of innovative, cost-effective environmental technologies;

unknown authors

1995-01-01T23:59:59.000Z

139

Total Sales of Kerosene  

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

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

140

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

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

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

Total Biofuels Consumption (2005 - 2009) Total annual biofuels...  

Open Energy Info (EERE)

Total Biofuels Consumption (2005 - 2009) Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions.      ...

142

Detecting, Locating, and Characterizing Remote Power Sources  

SciTech Connect

A feasibility study to determine range and back-azimuth detection methods for an isolated generator powering common loads was completed. The study deployed 3-component E and B field sensors with sampling rates of 100 kHz in a low noise test location in Southern California. Scripted power and load cycling was recorded at ranges of 40 meters to 4 km from the generator/load source. Three loads were tested: a 100 meter string of lights, an inverter powering an air blower, and a resistive heater. No E-field or B-field radiated signals were detected at ranges greater than 40 meters with a signal-to-noise ratio greater than one. Large variations in the broadband background electromagnetic noise were observed and may have been responsible for null detections at some measurement locations. At the 40-meter station, a frequency shift upon generator loading was observed for all load types. Harmonics from the detuned generator (operating at 56.7 Hz) could be observed for all load types but were most pronounced for the inverter source. A back-azimuth estimation methodology was applied to detected harmonics with stable and consistent results. For the inverter source, consistent back azimuths to the source were determined for the fundamental and higher detected harmonics up to the 31st. The method was applied to narrow band ''noise'' at 60 Hz and produced bimodal directions that roughly pointed to large population centers. Details of the method are withheld in this report pending a record of invention submittal. Although the generator/load combinations, which utilized wiring that tended to minimize stray signals, cannot yet be detected at large stand-off range without application of noise-filtering methods, the back-azimuth method appears promising and should be applied to other source types and frequency ranges where an E and B field can be detected. A record of invention describing this new back-azimuth method has been submitted to the Intellectual Property Law Group.

Harben, P; Carrigan, C; Kirkendall, B; Simons, D

2005-02-10T23:59:59.000Z

143

Cogeneration Plant is Designed for Total Energy  

E-Print Network (OSTI)

This paper describes application considerations, design criteria, design features, operating characteristics and performance of a 200 MW combined cycle cogeneration plant located at Occidental Chemical Corporation's Battleground chlorine-caustic plant at La Porte, Texas. This successful application of a total energy management concept utilizing combined cycle cogeneration in an energy intensive electrochemical manufacturing process has resulted in an efficient reliable energy supply that has significantly reduced energy cost and therefore manufacturing cost.

Howell, H. D.; Vera, R. L.

1987-09-01T23:59:59.000Z

144

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

145

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

146

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

147

Maps & Directions | Custom Map Location | Brookhaven National...  

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

Want to share a specific location with others? Drag the marker pin to a new location and then share the following URL: http:www.bnl.govmapspoint.php?Lat40.86827&Lng-72.88113...

148

Mobile Truck Stop Electrification Site Locator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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 making a...

149

Factors of characteristic words: Location and decompositions  

Science Conference Proceedings (OSTI)

Let @a be an irrational number with 0Keywords: Characteristic word, Decomposition, Location, Overlap factor, Return words, Separate factor

Wai-Fong Chuan; Hui-Ling Ho

2010-06-01T23:59:59.000Z

150

Optimal Location of Vertical Wells: Decomposition Approach  

E-Print Network (OSTI)

Optimal Location of Vertical Wells: Decomposition Approach M. G. Ierapetritou and C. A. Floudas®elopment plan with well locations, gi®en a reser®oir property map and a set of infrastructure constraints, represents a ®ery challenging prob- lem. The problem of selecting the optimal ®ertical well locations

151

Location tracking via social networking sites  

Science Conference Proceedings (OSTI)

The use of social media has steadily grown in recent years, and now more than ever, people are logging on to websites like Facebook, Twitter, Foursquare, and Google Latitude with the aim of broadcasting their location information. The ability to 'check ... Keywords: disclosure, intention, location-based services, location-tracking, social networking, trust

Lisa Thomas; Pam Briggs; Linda Little

2013-05-01T23:59:59.000Z

152

Location, Decentralization, and Knowledge Sources for Innovation  

Science Conference Proceedings (OSTI)

When firms seek to innovate, they must decide where to locate their innovation activity. This location choice requires firms to make a simultaneous choice about the organizational structure of innovation activity: almost by definition, multiple locations ... Keywords: decentralization, imitative innovation, new-to-the-market innovation, research and development

Aija Leiponen; Constance E. Helfat

2011-05-01T23:59:59.000Z

153

Open neighborhood locating-dominating in trees  

Science Conference Proceedings (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 ... Keywords: Domination, Open neighborhood locating-dominating set

Suk J. Seo; Peter J. Slater

2011-03-01T23:59:59.000Z

154

SolarTotal | Open Energy Information  

Open Energy Info (EERE)

SolarTotal SolarTotal Jump to: navigation, search Name SolarTotal Place Bemmel, Netherlands Zip 6681 LN Sector Solar Product The company sells and installs PV solar instalations Coordinates 51.894112°, 5.89881° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.894112,"lon":5.89881,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

155

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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

156

Alternative Fueling Station Locator | Open Energy Information  

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

157

Locational analysis for the aluminum industry  

SciTech Connect

A locational analysis for the aluminum industry suggests that its locational pattern is probably even more clear-cut than that of the steel industry. Because the smelting of alumina into aluminum requires a very large amount of electric power, aluminum has become an industry highly oriented to cheap-power locations. A quick analysis, taking into account present technological and economic conditions, reveals that the potential advantages of the minimum-transport-cost location for an aluminum plant are clearly outweighed by the large power cost savings accruing from locating the plant at a cheap-power location. This holds true even with a fairly small differential in power rates between the two locations.

Isard, W.; Parcels, L.

1977-12-01T23:59:59.000Z

158

Geo topic model: joint modeling of user's activity area and interests for location recommendation  

Science Conference Proceedings (OSTI)

This paper proposes a method that analyzes the location log data of multiple users to recommend locations to be visited. The method uses our new topic model, called Geo Topic Model, that can jointly estimate both the user's interests and activity area ... Keywords: location recommendation, topic model

Takeshi Kurashima; Tomoharu Iwata; Takahide Hoshide; Noriko Takaya; Ko Fujimura

2013-02-01T23:59:59.000Z

159

AOCS Official Method Ce 7-87  

Science Conference Proceedings (OSTI)

Total Tocopherols in Deodorizer Distillate AOCS Official Method Ce 7-87 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines total tocopherols

160

Our Locations | National Nuclear Security Administration  

NLE Websites -- All DOE Office Websites (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.


161

Our Locations | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

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

162

Helicopter magnetic survey conducted to locate wells  

Science Conference Proceedings (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

163

Distribution Fault Location and Waveform Characterization  

Science Conference Proceedings (OSTI)

Automated fault location algorithms for distribution systems require monitoring equipment to record voltage and current waveforms during an event. In addition, most of these algorithms require circuit-impedance parameters to evaluate the fault location. Locating incipient faults and fault waveform characterization is the main aim of this project. This project builds on work done in 2008 towards sub-cycle blip identification using an algorithm based on arc voltage.

2009-12-11T23:59:59.000Z

164

Benchmarking of Fault-Location Technologies  

Science Conference Proceedings (OSTI)

This report resumes the studies on fault-location technologies that were conducted in 2009. These studies were undertaken in a joint project done with the collaboration of Hydro-Qubec, Long Island Power Authority, and the Electric Power Research Institute (EPRI). Two fault-location technologies were tested, the Reactance to Fault (RTF) implemented in the PQView application and the Voltage Drop Fault Location (VDFL) implemented in the MILE application. The RTF is based on substation voltage and current me...

2011-03-31T23:59:59.000Z

165

Utilization of variation optimization for location of emitter of random noise signal  

Science Conference Proceedings (OSTI)

In the paper the information method for optimal location of random noise signal emitter is suggested. The optimization is carried out on energy-information criterion, which makes it possible to locate site of generator of noise signal using geometric ...

H. H. Asadov; N. A. Abdullayev; M. J. Kerimov; E. F. Dadashov

2010-09-01T23:59:59.000Z

166

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

In this thesis I study combinatorial aspects of an emerging field known as total positivity. The classical theory of total positivity concerns matrices in which all minors are nonnegative. While this theory was pioneered ...

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

167

Procurement Information by Location | Department of Energy  

NLE Websites -- All DOE Office Websites (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

168

Russian Locations | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Russian Locations Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing Institutional Research...

169

Locating Restricted Facilities on Binary Maps  

E-Print Network (OSTI)

The encoding could represent clean and polluted areas or desirable and undesirable zones. For this encoding, we consider several facility location problems to ...

170

The Facility Location Problem with Bernoulli Demands  

E-Print Network (OSTI)

Abstract. In this paper we address a discrete capacitated facility location problem in which ...... The type of instance for FLPBD (1, 2, 3, or 4) as described above.

171

2010 Hyundai LPI Hybrid Test Cell Location  

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

Hyundai LPI Hybrid Test Cell Location APRF- 4WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Alternative Fuel Hybrid...

172

2010 Volkswagen Golf TDI Test Cell Location  

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

Golf TDI Test Cell Location APRF- 4WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional- Start Stop Vehicle...

173

Sandia National Laboratories: Locations: Albuquerque, New Mexico...  

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

Albuquerque Housing Education Recreation Locations Life in Albuquerque Photo of New Mexico landscape Albuquerque is New Mexico's largest city, with a population of more than...

174

Total correlations and mutual information  

E-Print Network (OSTI)

In quantum information theory it is generally accepted that quantum mutual information is an information-theoretic measure of total correlations of a bipartite quantum state. We argue that there exist quantum states for which quantum mutual information cannot be considered as a measure of total correlations. Moreover, for these states we propose a different way of quantifying total correlations.

Zbigniew Walczak

2008-06-30T23:59:59.000Z

175

Major DOE Biofuels Project Locations | Department of Energy  

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

Major DOE Biofuels Project Locations More Documents & Publications Major DOE Biofuels Project Locations Slide 1 Major DOE Biofuels Project Locations...

176

Robotic location of underground chemical sources  

Science Conference Proceedings (OSTI)

This paper describes current progress in a project to develop robotic systems for locating underground chemical sources. There are a number of economic and humanitarian applications for this technology. Finding unexploded ordinance, land mines, and sources ... Keywords: Chemical diffusion, Chemical source location, De-mining, Robotics

R. Andrew Russell

2004-01-01T23:59:59.000Z

177

Adding Speech to Location-based Services  

Science Conference Proceedings (OSTI)

The first generation of Location-based Services (LBSs) did not succeed on the market. In order to prepare LBSs of the next generation for the challenges of pervasive service execution in different situations (e.g. while walking on the street or while ... Keywords: Human Computer Interaction (HCI), Location-based Services, Multimodality, Spoken Dialogue Systems

Patrick Nepper; Georg Treu; Axel Küpper

2008-02-01T23:59:59.000Z

178

Proxying location update for idle mode interfaces  

Science Conference Proceedings (OSTI)

In cellular networks it is the mobile node's responsibility to update the network about its location change, especially when this one enters idle mode. We developed a new framework [8] where the idle interface is powered-off to save energy and thus could ... Keywords: MIH services, idle/active mode, location-update, proxied interface, proxied multi-radio interface, proxy entity

Hicham Mahkoum; Abdelhakim S. Hafid; Behcet Sarikaya

2010-06-01T23:59:59.000Z

179

180 x 120: designing alternate location systems  

Science Conference Proceedings (OSTI)

Using 180 RFID tags to track and plot locations over time, guests to an event at the San Francisco Museum of Modern Art (SFMOMA) collectively constructed a public visualization of the individual and group activities by building a history of movement ... Keywords: RFID, crowds, design, location tracking, tessellation

Eric Paulos; Anthony Burke; Tom Jenkins; Karen Marcelo

2007-11-01T23:59:59.000Z

180

Location-Based sponsored search advertising  

Science Conference Proceedings (OSTI)

The proliferation of powerful mobile devices with built-in navigational capabilities and the adoption in most metropolitan areas of fast wireless communication protocols have recently created unprecedented opportunities for location-based advertising. ... Keywords: game theory, location-based advertising, nash equilibrium

George Trimponias, Ilaria Bartolini, Dimitris Papadias

2013-08-01T23:59:59.000Z

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.


181

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

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

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

182

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

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

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

183

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

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

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

184

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

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

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

185

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

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

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

186

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

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

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

187

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

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

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

188

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

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

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

189

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

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

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

190

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

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

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

191

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

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

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

192

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

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

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

193

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

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

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

194

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

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

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

195

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

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

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

196

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

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

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

197

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

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

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

198

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

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

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

199

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

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

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

200

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

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

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

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

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

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

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

202

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

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

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

203

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

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

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

204

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

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

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

205

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

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

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

206

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

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

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

207

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

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

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

208

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

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

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

209

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

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

210

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

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

211

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

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

212

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

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

213

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

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

214

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

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

215

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

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

216

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

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

217

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

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

218

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

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

219

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

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

220

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

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

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

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

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

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

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

222

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

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

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

223

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

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

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

224

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

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

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

225

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

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

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

226

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

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

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

227

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

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

60,000 to 79,999 80,000 or More Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

228

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

Annual Energy Outlook 2012 (EIA)

Usage Indicators by U.S. Census Region, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators U.S. Census Region Northeast Midwest South West Energy Information...

229

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

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.7...

230

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

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC4.7...

231

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

Annual Energy Outlook 2012 (EIA)

Self-Reported) City Town Suburbs Rural Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC8.7...

232

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

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

East North Central West North Central Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

233

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

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

U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005 Housing Units (millions) Energy Information...

234

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

Gasoline and Diesel Fuel Update (EIA)

7.0 7.7 6.6 Have Equipment But Do Not Use it... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System......

235

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

Annual Energy Outlook 2012 (EIA)

Air-Conditioning Equipment 1, 2 Central System... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump... 53.5...

236

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

Gasoline and Diesel Fuel Update (EIA)

91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it... 1.9 Q Q Q Air-Conditioning Equipment 1, 2 Central System......

237

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

Gasoline and Diesel Fuel Update (EIA)

18.0 Have Equipment But Do Not Use it... 1.9 0.9 0.3 0.3 0.4 Air-Conditioning Equipment 1, 2 Central System......

238

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

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

m... 3.2 0.2 Q 0.1 Telephone and Office Equipment CellMobile Telephone... 84.8 14.9 11.1 3.9 Cordless...

239

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

Gasoline and Diesel Fuel Update (EIA)

m... 3.2 0.9 0.7 Q Telephone and Office Equipment CellMobile Telephone... 84.8 19.3 13.2 6.1 Cordless...

240

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

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

Q 0.5 Q Q Monitor is Turned Off... 0.5 N Q Q Q Q N Q Use of Internet Have Access to Internet Yes... 66.9...

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

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

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

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

242

Total  

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

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

243

Total  

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

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

244

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

Annual Energy Outlook 2012 (EIA)

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......

245

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

Annual Energy Outlook 2012 (EIA)

... 25.8 2.8 5.8 5.5 3.8 7.9 1.4 5.1 Use of Most-Used Ceiling Fan Used All Summer... 18.7 4.2 4.9 4.1 2.1 3.4 2.4 6.3...

246

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

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

Heating Characteristics Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC5.4 Space Heating...

247

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

Annual Energy Outlook 2012 (EIA)

at All... 2.9 1.1 0.5 Q 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

248

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

Annual Energy Outlook 2012 (EIA)

3.3 Not Used at All... 2.9 0.7 0.5 Q Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

249

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

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

3.6 Not Used at All... 2.9 0.8 0.3 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

250

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

Gasoline and Diesel Fuel Update (EIA)

1.1 Not Used at All... 2.9 0.4 Q 0.2 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

251

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

Gasoline and Diesel Fuel Update (EIA)

at All... 2.9 1.4 0.4 0.4 0.7 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

252

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

Gasoline and Diesel Fuel Update (EIA)

5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business Yes......

253

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

Annual Energy Outlook 2012 (EIA)

... 34.3 1.2 0.9 2.2 2.9 5.4 7.0 8.2 6.6 Adequacy of Insulation Well Insulated... 29.5 1.5 0.9 2.3 2.7 4.1...

254

Property:Event/Location | Open Energy Information  

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 +

255

Property:UtilityLocation | Open Energy Information  

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 +

256

TENESOL formerly known as TOTAL ENERGIE | Open Energy Information  

Open Energy Info (EERE)

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

257

Idle Operating Total Stream Day  

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

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

258

Detection and Location of Damage on Pipelines  

SciTech Connect

The INEEL has developed and successfully tested a real-time pipeline damage detection and location system. This system uses porous metal resistive traces applied to the pipe to detect and locate damage. The porous metal resistive traces are sprayed along the length of a pipeline. The unique nature and arrangement of the traces allows locating the damage in real time along miles of pipe. This system allows pipeline operators to detect damage when and where it is occurring, and the decision to shut down a transmission pipeline can be made with actual real-time data, instead of conservative estimates from visual inspection above the area.

Karen A. Moore; Robert Carrington; John Richardson

2003-11-01T23:59:59.000Z

259

China Total Cloud Amount Trends  

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

Trends in Total Cloud Amount Over China DOI: 10.3334CDIACcli.008 data Data image Graphics Investigator Dale P. Kaiser Carbon Dioxide Information Analysis Center, Environmental...

260

Protecting location privacy: optimal strategy against localization attacks  

Science Conference Proceedings (OSTI)

The mainstream approach to protecting the location-privacy of mobile users in location-based services (LBSs) is to alter the users' actual locations in order to reduce the location information exposed to the service provider. The location obfuscation ... Keywords: location inference attacks, location privacy, location-based services, optimal defense strategy, privacy protection, service quality, stackelberg bayesian games

Reza Shokri; George Theodorakopoulos; Carmela Troncoso; Jean-Pierre Hubaux; Jean-Yves Le Boudec

2012-10-01T23:59:59.000Z

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.


261

Export.gov - Export.gov - Locations  

NLE Websites -- All DOE Office Websites (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

262

Fault Detection, Location, Isolation and Reconnection in ...  

A University of Colorado research team led by Jae-Do Park has developed a fault detection, location and isolation scheme for a low-voltage DC-bus microgrid system, ...

263

Russian Locations | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

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

264

Alternative Fueling Station Locator | Department of Energy  

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

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 × 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

265

Developing a theory of nightclub location choice  

E-Print Network (OSTI)

This work is an investigation of the factors that influence where nightclubs locate within a city. Nightclubs, like other social spaces, provide important social and economic benefits in the urban environment. As amenities, ...

Crim, Stephen J. (Stephen Johnson)

2008-01-01T23:59:59.000Z

266

Federating location-based data services  

Science Conference Proceedings (OSTI)

With the emerging availability of small and portable devices which are able to determine their position and to communicate wirelessly, mobile and spatially-aware applications become feasible. These applications rely on information that is bound to locations ...

Bernhard Mitschang; Daniela Nicklas; Matthias Grossmann; Thomas Schwarz; Nicola Hönle

2005-01-01T23:59:59.000Z

267

Adaptive learning of semantic locations and routes  

Science Conference Proceedings (OSTI)

Adaptation of devices and applications based on contextual information has a great potential to enhance usability and mitigate the increasing complexity of mobile devices. An important topic in context-aware computing is to learn semantic locations and ...

Keshu Zhang; Haifeng Li; Kari Torkkola; Mike Gardner

2007-09-01T23:59:59.000Z

268

Adaptive learning of semantic locations and routes  

Science Conference Proceedings (OSTI)

Adaptation of devices and applications based on contextual information has a great potential to enhance usability and mitigate the increasing complexity of mobile devices. An important topic in context-aware computing is to learn semantic locations and ...

Keshu Zhang; Haifeng Li; Kari Torkkola; Mike Gardner

2007-10-01T23:59:59.000Z

269

Addressing endogeneity in residential location models  

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

270

total energy | OpenEI  

Open Energy Info (EERE)

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

271

Exploring temporal effects for location recommendation on location-based social networks  

Science Conference Proceedings (OSTI)

Location-based social networks (LBSNs) have attracted an inordinate number of users and greatly enriched the urban experience in recent years. The availability of spatial, temporal and social information in online LBSNs offers an unprecedented opportunity ... Keywords: location recommendation, location-based social networks, temporal effects

Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu

2013-10-01T23:59:59.000Z

272

Total Energy Facilities Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Total Energy Facilities Biomass Facility Total Energy Facilities Biomass Facility Jump to: navigation, search Name Total Energy Facilities Biomass Facility Facility Total Energy Facilities Sector Biomass Facility Type Non-Fossil Waste Location Los Angeles County, California Coordinates 34.3871821°, -118.1122679° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.3871821,"lon":-118.1122679,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

273

EQUUS Total Return Inc | Open Energy Information  

Open Energy Info (EERE)

EQUUS Total Return Inc EQUUS Total Return Inc Jump to: navigation, search Name EQUUS Total Return Inc Place Houston, Texas Product A business development company and VC investor that trades as a closed-end fund. EQUUS is managed by MCC Global NV, a Frankfurt stock exchange listed management and merchant banking group. Coordinates 29.76045°, -95.369784° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

274

Alternative Fueling Station Locations | OpenEI  

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

275

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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...

276

Utility Locating in the DOE Environment  

SciTech Connect

Some advances have been made in utility locating in recent years and standards have been recently published to try and categorize the level of information known about the utility in the subsurface. At the same time some characterization about the level of effort or technology in the geophysicist approach to utility locating may be generalized. The DOE environment poses some added difficulties and this presentation covers these issues, costs and the technical approach that has been developed at the INEEL to prevent utility hits and how it fits into the generalized classification of effort.

Clark Scott; Gail Heath

2006-04-01T23:59:59.000Z

277

SOLERAS - solar applications in remote locations  

Science Conference Proceedings (OSTI)

The purpose of this international technology workshop was to promote the exchange of research information on solar applications in remote locations. Scientists and engineers from the United States, Saudia Arabia, Central and South America, Southeast Asia, and Oceania were represented at this sixth annual workshop conducted under the auspices of the SOLERAS program. The objective of the workshop was to address the issues of construction, operation, and maintenance of solar energy systems in remote locations. Photovoltaic, wind, solar thermal, biomass, and geothermal technologies were considered. Also considered was the use of solar energy for agricultural purposes. Each paper has been separately indexed for inclusion in the Energy Data Base.

Khoshaim, B.H.; Williamson, J.S.; Meiners, A.; Mallory, R. (eds.)

1985-05-01T23:59:59.000Z

278

Property:Water Column Location | Open Energy Information  

Open Energy Info (EERE)

Column Location Jump to: navigation, search Property Name Water Column Location Property Type Text Pages using the property "Water Column Location" Showing 1 page using this...

279

Major DOE Biofuels Project Locations | Department of Energy  

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

Biomass Program Major DOE Biofuels Project Locations in the United States Major DOE Biofuels Project Locations More Documents & Publications Major DOE Biofuels Project Locations...

280

Smart Grid Demonstration Project Locations | Department of Energy  

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

Smart Grid Demonstration Project Locations Smart Grid Demonstration Project Locations Map of the United States showing the location of Smart Grid Demonstration projects created...

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

HLDB: location-based services in databases  

Science Conference Proceedings (OSTI)

This paper introduces HLDB, the first practical system that can answer exact spatial queries on continental road networks entirely within a database. HLDB is based on hub labels (HL), the fastest point-to-point algorithm for road networks, and ... Keywords: SQL, databases, large road networks, location services

Ittai Abraham; Daniel Delling; Amos Fiat; Andrew V. Goldberg; Renato F. Werneck

2012-11-01T23:59:59.000Z

282

Transportation Networks and Location A Geometric Approach  

E-Print Network (OSTI)

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

Palop del Río, Belén

283

Job Location, Neighborhood Change, and Gentrification  

E-Print Network (OSTI)

This paper assesses the contribution of employment location to neighborhood change and to gentrification. At the tract level, average household income change is positively correlated both with the change in average pay for nearby jobs and with the start-year average pay for nearby jobs. The relationship between employment location and neighborhood change is stronger for tracts closer to downtown and for tracts in larger metropolitan areas. Change in job pay helps explain metropolitan gentrification within 2 miles of the CBD. The analysis combines Census tract household data for 1990-2000 from the Neighborhood Change Database and zip-code-level employment data for 1992-2000 from the National Establishment Time-Series database. I develop an algorithm for identifying changes in zip codes over time and for matching non-standard zip codes to Census tracts. Because causality between employment location and household location could run in both directions, I instrument for the tract-level change in average job pay with national-level industry growth and average pay.

Jed Kolko; Claudia Goldin; Rucker Johnson; Larry Katz; Jeffrey Lin; Stuart Rosenthal

2009-01-01T23:59:59.000Z

284

Location Games and Bounds for Median Problems  

E-Print Network (OSTI)

We consider a two-person zero-sum game in which the maximizer selects a point in a given bounded planar region, the minimizer selects K points in that region,.and the payoff is the distance from the maximizer's location ...

Haimovich, Mordecai

285

Rank Sites by Building Type and Location for Greenhouse Gas Mitigation |  

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

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

286

Sandia National Laboratories: Locations: Livermore, California: Visiting  

NLE Websites -- All DOE Office Websites (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

287

Compact Totally Disconnected Moufang Buildings  

E-Print Network (OSTI)

Let $\\Delta$ be a spherical building each of whose irreducible components is infinite, has rank at least 2 and satisfies the Moufang condition. We show that $\\Delta$ can be given the structure of a topological building that is compact and totally disconnected precisely when $\\Delta$ is the building at infinity of a locally finite affine building.

Grundhofer, T; Van Maldeghem, H; Weiss, R M

2010-01-01T23:59:59.000Z

288

Total Imports of Residual Fuel  

Annual Energy Outlook 2012 (EIA)

2007 2008 2009 2010 2011 2012 View History U.S. Total 135,676 127,682 120,936 133,646 119,888 93,672 1936-2012 PAD District 1 78,197 73,348 69,886 88,999 79,188 59,594 1981-2012...

289

Study of location management for next generation personal communication networks  

Science Conference Proceedings (OSTI)

The main target of location management is to maintain location of users while minimizing the system operation. The process consists of location update, paging, and database consideration. The location update and paging manages the user-network interaction ... Keywords: centralized database (CDB), distributed database (DDB), location area scheme, location update, timer-based update strategy, velocity paging (VP)

Teerapat Sanguankotchakorn; Panuvit Wibullanon

2005-03-01T23:59:59.000Z

290

Truckstop Electrification Locator | Open Energy Information  

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.

291

Solar Total Energy Project final test report  

DOE Green Energy (OSTI)

The Solar Total Energy Project (STEP), a cooperative effort between the United States Department of Energy (DOE) and Georgia Power Company (GPC) located at Shenandoah, Georgia, has undergone several design modifications based on experience from previous operations and test programs. The experiences encountered were discussed in detail in the Solar Total Energy Project Summary Report'' completed in 1987 for DOE. Most of the proposed changes discussed in this report were installed and tested in 1987 as part of two 15-day test programs (SNL Contract No. 06-3049). However, several of the suggested changes were not completed before 1988. These plant modifications include a new distributed control system for the balance of plant (BOP), a fiber a optical communications ring for the field control system, and new control configuration reflecting the new operational procedures caused by the plant modifications. These modifications were tested during a non-consecutive day test, and a 60-day field test conducted during the autumn of 1989. These test were partially funded by SNL under Contract No. 42-4859, dated June 22, 1989. Results of these tests and preliminary analysis are presented in this test summary report. 9 refs., 19 figs., 7 tabs.

Nelson, R.F.; Abney, L.O.; Towner, M.L. (Georgia Power Co., Shenandoah, GA (USA))

1990-09-01T23:59:59.000Z

292

An Alternating Direction Method for Total Variation Denoising  

E-Print Network (OSTI)

5 Acknowledgement. This work is supported in part by DMS 10-16571, ONR Grant N00014-08-1-1118 and DOE Grant. DE-FG02-08ER25856. References.

293

Optimal Location of Facilities Gerard Rushton  

E-Print Network (OSTI)

.1. Crystalline rocks 9-term equation, valid for both cut and total slopes PS ¼ 248:4 þ 0:90 SHð � þ 1:10 RFð � þ Town, pp. 33­53. Ritchie, A.M., 1963. Evaluation of Rockfall and its Control, Highway Research Board

Mohaghegh, Shahab

294

Buildings","Total  

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

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

295

Buildings","Total  

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

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

296

Performance Period Total Fee Paid  

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

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:

297

Buildings","Total  

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

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

298

ARM - Measurement - Total cloud water  

NLE Websites -- All DOE Office Websites (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

299

Fast Flux Test Facility Asbestos Location Tracking Program  

SciTech Connect

Procedure Number HNF-PRO-408, revision 0, paragraph 1.0, ''Purpose,'' and paragraph 2.0, ''Requirements for Facility Management of Asbestos,'' relate building inspection and requirements for documentation of existing asbestos-containing building material (ACBM) per each building assessment. This documentation shall be available to all personnel (including contractor personnel) entering the facility at their request. Corrective action was required by 400 Area Integrated Annual Appraisal/Audit for Fiscal Year 1992 (IAA-92-0007) to provide this notification documentation. No formal method had been developed to communicate the location and nature of ACBM to maintenance personnel in the Fast Flux Test Facility (FFTF) 400 Area. The scope of this Data Package Document is to locate and evaluate any ACBM found at FFTF which constitutes a baseline. This includes all buildings within the protected area. These findings are compiled from earlier reports, numerous work packages and engineering evaluations of employee findings.

REYNOLDS, J.A.

1999-04-13T23:59:59.000Z

300

Using GIS and Satellite Imagery to Locate  

E-Print Network (OSTI)

The purpose of this project is to show it is possible to use remote sensing techniques to detect oil seeps and oil spills and use ArcView to determine the hydrocarbon locations. Modern remote sensing software was used to process NASA's ASTER Multispectral Images. The files were loaded with Band 3 (0.76- 0.86 µm) as Red, Band 2 (0.63- 069 µm) as Green and Band 1 (0.52- 0.60 µm) as Blue. ASTER's 15 m ground resolution and image enhancement techniques allowed the identification of offshore oil seeps in California and the detection of oil leaking from offshore production platforms in Azerbaijan.

Jay Rauschkolb

2003-01-01T23:59:59.000Z

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.


301

New approach to the fault location problem using synchronized sampling  

E-Print Network (OSTI)

This thesis presents a new approach to solving the problem of fault location on a transmission line using synchronized data from both ends of the line. The synchronized phase voltage and current samples taken during the fault transient are used to calculate the location of the fault. Time domain models of lines are used as a basis for derivation of two different algorithms. One algorithm is developed using the RL line model and the other one is developed using the traveling wave based line model. The main idea of the fault location concept is based on the general characteristics of any transmission line. At any location along the unfaulted line, the instantaneous values of voltage and current signals are related to the instantaneous values of the corresponding values of voltage and current signals at both ends of the line, line parameters, and distance between that particular location and each of the line ends. This enables the derivation of the generic fault location equation of the following form: [ ] where Lv is the linear operator, VA, t'A, VB, z'B are vectors of voltage and current samples at line ends, d is the length of the line, and x is the unknown distance to the fault point. For a particular transmission line, the generic equation has a unique form that determines the way it is solved. In any case, the Minimum Square Error Estimation Method is used since an overspecified system of linear equations needs to be solved. The performance evaluation of both algorithms was done using the Electromagnetic Transient Program (EMTP) generated data [1]. Obtained results indicate the high accuracy of the approach and its robustness regarding various fault conditions. The following are the conclusions based on the results presented in this thesis: The error of the approach is rather small and almost invariant to the various fault conditions and, hence, the technique provides a robust solution to the fault location problem. The new approach has high accuracy while the computational burden is still kept relatively low. The synchronized sampling technique required for this approach is emerging as a reliable and cost effective practice.

Mrkic, Jasna

1994-01-01T23:59:59.000Z

302

Applying Spatiotemporal and Demographic Data to Locate Next Crime Location Control #7501  

E-Print Network (OSTI)

Geographic profiling is a tool used by law enforcement to predict the location of a serial criminal’s next crime. A typical geographic profile outputs estimated probabilities with the input of time and location of previous crimes. In this paper, we develop a new geographic profile that is able to incorporate demographical observations while remaining an effective predictor. We assume that (1) there are buffer zones around previous crime scenes because the criminal fears capture, (2) there is distance decay as criminals prefer something about the locations where previous crimes were committed, and (3) criminals target potential victims based on income and (4) target areas based on crime rate, which are claims supported by research of serial criminals. In order to find an effective profile, we have combined two models of criminal behavior which predict the location of future crime. First, we compute probability densities using a time-weighted kernel density algorithm, which includes buffer zone

unknown authors

2010-01-01T23:59:59.000Z

303

Transit Infrastructure Finance Through Station Location Auctions  

E-Print Network (OSTI)

as the primary transit infrastructure finance method.Paper 2009-04 Transit Infrastructure Finance Through StationWP-2009-04 Transit Infrastructure Finance Through Station

Ian Carlton

2009-01-01T23:59:59.000Z

304

Total China Investment Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Total China Investment Co Ltd Total China Investment Co Ltd Jump to: navigation, search Name Total (China) Investment Co. Ltd. Place Beijing, China Zip 100004 Product Total has been present in China for about 30 years through its activities of Exploration & Production, Gas & Power, Refining & Marketing, and Chemicals. Coordinates 39.90601°, 116.387909° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.90601,"lon":116.387909,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

305

Grantee Total Number of Homes  

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

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

306

Total Adjusted Sales of Kerosene  

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

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

307

Solar total energy project Shenandoah  

DOE Green Energy (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

308

Location of hydraulic fractures using microseismic techniques  

DOE Green Energy (OSTI)

Microearthquakes with magnitudes ranging between -6 and -2 have been observed in three successive massive injections of water at the Hot Dry Rock Geothermal Energy demonstration site at Fenton Hill, New Mexico. The injection was part of a program to increase the heat transfer area of hydraulic fractures and to decrease the flow-through impedance between wells. The microearthquakes were used in mapping the location of the extended hydraulic fractures. A downhole triaxial system positioned approximately 200 m vertically above the injection point in a shut-in production well was used for detection. The microearthquakes occurred in a north-northwest striking zone 400 m in length passing through the injection point. During a third substantially larger injection, microearthquakes occurred in a dispersed volume at distances as great as 800 m from the zone active in the first two injections.

Albright, J.A.; Pearson, C.F.

1980-01-01T23:59:59.000Z

309

Hydrocarbon/Total Combustibles Sensor  

the invention is an electrochemical hydrocarbon sensor that is more reliable and reproducible than any other hydrocarbon sensor on the market today. The patented method for producing the sensor ensures reproducibility and reduces the need for ...

310

Locating PHEV exchange stations in V2G  

SciTech Connect

Plug-in hybrid electric vehicle (PREV) is an environment friendly modem transportation method and has been rapidly penetrate the transportation system. Renewable energy is another contributor to clean power but the associated intermittence increases the uncertainty in power generation. As a foreseen benefit of a vchicle-to-grid (V2G) system, PREV supporting infrastructures like battery exchange stations can provide battery service to PREV customers as well as being plugged into a power grid as energy sources and stabilizer. The locations of exchange stations are important for these two objectives under constraints from both ,transportation system and power grid. To model this location problem and to understand and analyze the benefit of a V2G system, we develop a two-stage stochastic program to optimally locate the stations prior to the realizations of battery demands, loads, and generation capacity of renewable power sources. Based on this model, we use two data sets to construct the V2G systems and test the benefit and the performance of these systems.

Pan, Feng [Los Alamos National Laboratory; Bent, Russell [Los Alamos National Laboratory; Berscheid, Alan [Los Alamos National Laboratory; Izraelevitz, David [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

311

Collection of liquid from below-ground location  

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

312

PARSII - New Reports and Reports With New Reporting Folder Location  

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

PARSII - New Reports and Reports With New Reporting Folder Location Page 1 of 3 as of 1242011 Report Name Previous Location New Location Brief Description Multi-Project or Single...

313

Total Number of Operable Refineries  

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

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

314

Detection of multiple human location and direction by integrating different kinds of sensors  

Science Conference Proceedings (OSTI)

As ubiquitous services become available, information on human location and direction have so important that many detection methods have been proposed. However, a lot of them generate electromagnetic waves or light rays. They are unsuited for use in detection ... Keywords: contextual awareness, individual identification, location tracking, ubiquitous computing

Tsuyoshi Shinno; Kazunori Hashizume; Junichi Tajima; Shigeo Kaneda; Hirohide Haga

2008-07-01T23:59:59.000Z

315

Total quality management implementation guidelines  

SciTech Connect

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

316

Fault Locating, Prediction and Protection (FLPPS)  

Science Conference Proceedings (OSTI)

One of the main objectives of this DOE-sponsored project was to reduce customer outage time. Fault location, prediction, and protection are the most important aspects of fault management for the reduction of outage time. In the past most of the research and development on power system faults in these areas has focused on transmission systems, and it is not until recently with deregulation and competition that research on power system faults has begun to focus on the unique aspects of distribution systems. This project was planned with three Phases, approximately one year per phase. The first phase of the project involved an assessment of the state-of-the-art in fault location, prediction, and detection as well as the design, lab testing, and field installation of the advanced protection system on the SCE Circuit of the Future located north of San Bernardino, CA. The new feeder automation scheme, with vacuum fault interrupters, will limit the number of customers affected by the fault. Depending on the fault location, the substation breaker might not even trip. Through the use of fast communications (fiber) the fault locations can be determined and the proper fault interrupting switches opened automatically. With knowledge of circuit loadings at the time of the fault, ties to other circuits can be closed automatically to restore all customers except the faulted section. This new automation scheme limits outage time and increases reliability for customers. The second phase of the project involved the selection, modeling, testing and installation of a fault current limiter on the Circuit of the Future. While this project did not pay for the installation and testing of the fault current limiter, it did perform the evaluation of the fault current limiter and its impacts on the protection system of the Circuit of the Future. After investigation of several fault current limiters, the Zenergy superconducting, saturable core fault current limiter was selected for installation. Because of some testing problems with the Zenergy fault current limiter, installation was delayed until early 2009 with it being put into operation on March 6, 2009. A malfunction of the FCL controller caused the DC power supply to the superconducting magnet to be turned off. This inserted the FCL impedance into the circuit while it was in normal operation causing a voltage resonance condition. While these voltages never reached a point where damage would occur on customer equipment, steps were taken to insure this would not happen again. The FCL was reenergized with load on December 18, 2009. A fault was experienced on the circuit with the FCL in operation on January 14, 2010. The FCL operated properly and reduced the fault current by about 8%, what was expected from tests and modeling. As of the end of the project, the FCL was still in operation on the circuit. The third phase of the project involved the exploration of several advanced protection ideas that might be at a state where they could be applied to the Circuit of the Future and elsewhere in the SCE electrical system. Based on the work done as part of the literature review and survey, as well as a number of internal meetings with engineering staff at SCE, a number of ideas were compiled. These ideas were then evaluated for applicability and ability to be applied on the Circuit of the Future in the time remaining for the project. Some of these basic ideas were implemented on the circuit including measurement of power quality before and after the FCL. It was also decided that we would take what was learned as part of the Circuit of the Future work and extend it to the next generation circuit protection for SCE. Also at this time, SCE put in a proposal to the DOE for the Irvine Smart Grid Demonstration using ARRA funding. SCE was successful in obtaining funding for this proposal, so it was felt that exploration of new protection schemes for this Irvine Smart Grid Demonstration would be a good use of the project resources. With this in mind, a protection system that uses fault interrupting switches, hi

Yinger, Robert, J.; Venkata, S., S.; Centeno, Virgilio

2010-09-30T23:59:59.000Z

317

Alternative Fuels Data Center: Hydrogen Fueling Station Locations  

Alternative Fuels and Advanced Vehicles Data Center (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

318

Alternative Fuels Data Center: Propane Fueling Station Locations  

Alternative Fuels and Advanced Vehicles Data Center (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

319

Alternative Fuels Data Center: Electric Vehicle Charging Station Locations  

Alternative Fuels and Advanced Vehicles Data Center (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

320

Uranium Lease Tracts Location Map | Department of Energy  

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

Centers Field Sites Power Marketing Administration Other Agencies You are here Home Uranium Lease Tracts Location Map Uranium Lease Tracts Location Map Uranium Lease Tracts...

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

APPENDIX A: FIGURES FIGURE 1. PROJECT LOCATION ON STATE MAP  

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

ON STATE MAP PROJECT LOCATION: MCLEAN COUNTY ILLINOIS HEARTLAND COMMUNITY COLLEGE WIND TURBINE ENVIRONMENTAL ASSESSMENT PROJECT LOCATION: LATITUDE: 40-32-14.39N NAD 83...

322

Data center design and location: Consequences for electricity...  

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

Data center design and location: Consequences for electricity use and greenhouse-gas emissions Title Data center design and location: Consequences for electricity use and...

323

Locating Climate Insecurity: Where Are the Most Vulnerable Places...  

Open Energy Info (EERE)

Twitter icon Locating Climate Insecurity: Where Are the Most Vulnerable Places in Africa? Jump to: navigation, search Name Locating Climate Insecurity: Where Are the Most...

324

Analysis of the AirTouch automatic vehicle location system's ability to locate moving vehicles  

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 as recovering stolen vehicles. Because many applications require traveling vehicles, this thesis focused on the AirTouch system's ability to accurately locate a moving vehicle. Recent AirTouch vehicle location system reports were compiled and analyzed to distinguish what factors tend to affect the accuracy of the readings. Based on the results of the reports, two sites were selected to minimize the external effects that could create inaccurate readings. Six speeds were selected ranging from 0 to 80 kmph (O to 50 mph) in 16 kmph (10 mph) increments. Each velocity was tested 20 times at each site. The location readings were compared to differential Global Positioning System (dGPS) readings which currently provide the most accurate location readings available for civilian use. The dGPS readings were also collected at each test site. It was discovered that one site produced more accurate readings compared to the other site. In addition, the longitude differences accounted for most of the error in the readings. Finally, more error was prevalent in the readings associated with the vehicle's direction of travel as opposed to readings perpendicular to the direction of travel. Based on the data analysis, it was impossible to conclude if velocity affected the accuracy of the AirTouch system. The results of this thesis have suggested that the AirTouch system does decrease in accuracy as the velocity increases among traveling vehicles. However, in one case, the accuracy of the stationary readings were less accurate compared to the non-stationary readings. At 80 kmph (50 mph), AirTouch had an approximate inaccuracy of 50 meters (164 feet). When the data was adjusted for human error, this approximate inaccuracy decreased to 33 meters (107 feet). For transit services, these averages are appropriate. When dispatching a transit vehicle, two-way communication between dispatcher and driver can verify the vehicle's exact location. Furthermore, when a customer needs to know where a vehicle is and when it should arrive, 33 to 50 meters (107 to 164 feet) is sufficient for the customers' needs.

Henry, Tracy Lynn

1995-01-01T23:59:59.000Z

325

Title, Location, Document Number Estimated Cost Description  

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

1/23/2013 1/23/2013 Transmittal to State: TBD EA Approval: TBD FONSI: TBD EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: Total Estimated Cost $0 Office of Legacy Management Jan-13 Annual NEPA Planning Summary Evaluation of Proposed Grazing on the Maybell and Maybell West UMTRCA sites, Colorado TBD DOE is seeking reuse of the lands associated with the Maybell and Maybell West UMTRCA disposal sites in Moffat County, in northwestern Colorado. Potential impacts from grazing would be evaluated in this EA. The schedule and costs have yet to be determined since EA determination was recently made.

326

Homodyne impulse radar hidden object locator  

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. 15 figs.

McEwan, T.E.

1996-04-30T23:59:59.000Z

327

TAGGING, TRACKING AND LOCATING WITHOUT GPS  

SciTech Connect

The Savannah River National Laboratory (SRNL) was requested to lead a Law Enforcement Working Group that was formed to collaborate on common operational needs. All agencies represented on the working group ranked their need to tag, track, and locate a witting or unwitting target as their highest priority. Specifically, they were looking for technologies more robust than Global Positioning Satellite (GPS), could communicate back to the owner, and worked where normal cell phone communications did not work or were unreliable. SRNL brought together multiple technologies in a demonstration that was held in in various Alaska venues, including metropolitan, wilderness, and at-sea that met the working group's requirements. Using prototypical technologies from Boeing, On Ramp, and Fortress, SRNL was able to demonstrate the ability to track personnel and material in all scenarios including indoors, in heavily wooden areas, canyons, and in parking garages. In all cases GPS signals were too weak to measure. Bi-directional communication was achieved in areas that Wi-Fi, cell towers, or traditional radios would not perform. The results of the exercise will be presented. These technologies are considered ideal for tracking high value material such has nuclear material with a platform that allows seamless tracking anywhere in the world, indoors or outdoors.

Cordaro, J.; Coleman, T.; Shull, D.

2012-07-08T23:59:59.000Z

328

SAPLE: Sandia Advanced Personnel Locator Engine.  

SciTech Connect

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

329

Homodyne impulse radar hidden object locator  

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

330

Locating Bound Structure in an Accelerating Universe  

E-Print Network (OSTI)

Given the overwhelming evidence that the universe is currently undergoing an accelerated expansion, the question of what are the largest gravitationally bound structures remains. A couple of groups, Busha et al. 2003 (B03) and Dunner et al. 2006 (D06), have attempted to analytically define these limits, arriving at substantially different estimates due to differences in their assumptions about the velocities at the present epoch. In an effort to locate the largest bound structures in the universe, we selected the Aquarius (ASC), Microscopium (MSC), Corona Borealis (CBSC), and Shapley (SSC) superclusters for study, due to their high number density of rich Abell clusters. Simple N-body simulations, which assumed negligible intercluster mass, were used to assess the likelihood of these structures being gravitationally bound, and the predictions of the models of B03 and D06 were compared with those results. We find that ASC, and MSC contain pairs of clusters which are gravitationally bound, A2541/A2546 and A3695/...

Pearson, David W

2013-01-01T23:59:59.000Z

331

Energy Procedia 00 (2008) 000000 www.elsevier.com/locate/XXX  

E-Print Network (OSTI)

Energy Procedia 00 (2008) 000­000 Energy Procedia www.elsevier.com/locate/XXX GHGT-9 Opportunities. This rise in economic growth goes hand in hand with an increase in the country's energy demand, which, accounting for almost 70% of the total energy consumption, but India still faces serious electricity

Haszeldine, Stuart

332

WEATHER SEQUENCES FOR PREDICTING HVAC SYSTEM BEHAVIOUR IN RESIDENTIAL UNITS LOCATED IN TROPICAL CLIMATES.  

E-Print Network (OSTI)

WEATHER SEQUENCES FOR PREDICTING HVAC SYSTEM BEHAVIOUR IN RESIDENTIAL UNITS LOCATED IN TROPICAL on the energy needs of HVAC system. We'll apply the method on the tropical Reunion Island. The methodological

Paris-Sud XI, Université de

333

V-012: Mozilla Firefox 'window.location' Bugs Permit Cross-Site...  

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

IMPACT ASSESSMENT: High DISCUSSION: A remote user can exploit the valueOf() method of window.location to, in combination with some plugins, inject scripting code to cause...

334

Microwave determination of location and speed of an object inside a pipe  

DOE Patents (OSTI)

Apparatus and method are described for measuring the location and speed of an object, such as instrumentation on a movable platform, disposed within a pipe, using continuous-wave, amplitude-modulated microwave radiation.

Sinha, Dipen N. (Los Alamos, NM)

2010-12-14T23:59:59.000Z

335

Natural Gas Total Liquids Extracted  

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

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

336

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

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

337

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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

338

Map Data: Total Production | Department of Energy  

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

Total Production Map Data: Total Production totalprod2009final.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

339

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 222 194 17...

340

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,100...

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

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,928 1,316...

342

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

343

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

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...

344

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

345

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

346

AOCS Official Method Da 8-48  

Science Conference Proceedings (OSTI)

Total Anhydrous Soap and Combined Alkali AOCS Official Method Da 8-48 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the total anhydrous

347

AOCS Official Method F 4-44  

Science Conference Proceedings (OSTI)

Total Active Ingredients AOCS Official Method F 4-44 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the total active ingredients as they

348

AOCS Official Method F 3-44  

Science Conference Proceedings (OSTI)

Total Desulfated Fatty Matter AOCS Official Method F 3-44 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the total desulfated fatty matte

349

AOCS Official Method G 4-40  

Science Conference Proceedings (OSTI)

Total Fatty Acids AOCS Official Method G 4-40 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the total fatty acids in the test sample, wh

350

AOCS Official Method F 8-44  

Science Conference Proceedings (OSTI)

Total Ammonia AOCS Official Method F 8-44 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines total ammonia in the laboratory sample. ...

351

AOCS Official Method F 7-44  

Science Conference Proceedings (OSTI)

Total Alkalinity AOCS Official Method F 7-44 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the total alkalinity of the fixed alkali, amm

352

The use of multi-criteria data envelopment analysis (MCDEA) for location-allocation problems in a fuzzy environment  

Science Conference Proceedings (OSTI)

This paper incorporates the concept of efficiency defined by data envelopment analysis (DEA) into location-allocation models in a fuzzy environment. It is shown how this incorporation can influence the pattern of facility location and the assignment ... Keywords: Fuzzy parametric programming, Location-allocation problem, Minimum deviation method, Multi-criteria data envelopment analysis

H. Moheb-Alizadeh; S. M. Rasouli; R. Tavakkoli-Moghaddam

2011-05-01T23:59:59.000Z

353

Express location: supporting coordination of mobile delivery work  

Science Conference Proceedings (OSTI)

This paper introduces Express Location, a mobile web application, supporting drivers in delivery service in the daily coordination of work. Remote communication and cooperation takes place on a shared map view around the drivers' locations and next stop, ... Keywords: CSCW, delivery service, drawing, drivers, express location, field study, location-awareness, mobility, visual representations, workspace

Markus Westerlund; Maria Normark; Lars Erik Holmquist

2011-03-01T23:59:59.000Z

354

Alternative Fuels Data Center: Biodiesel Fueling Station Locations  

Alternative Fuels and Advanced Vehicles Data Center (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

355

Categorical Exclusion Determinations: Other Location | Department of Energy  

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

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

356

U.S. Total Exports  

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

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

357

Total organic carbon (TOC) and chemical oxygen demand (COD) - Monitoring of organic pollutants in wastewater.  

E-Print Network (OSTI)

?? Total organic carbon (TOC) and chemical oxygen demand (COD) are two methods used for measuring organic pollutants in wastewater. Both methods are widely used… (more)

Hodzic, Elvisa

2011-01-01T23:59:59.000Z

358

Multi-canister overpack closure operations location study  

SciTech Connect

The Spent Nuclear Fuel Path Forward Project (SNF Project) has been established to develop engineered methods for the expedited removal of the irradiated uranium fuel from the K East (KE) and K West (KW) Basins. As specified by the SNF Project, the SNF will be removed from the K Basins, conditioned for dry storage and placed in a long term interim storage facility located in the 200 East Area. The SNF primarily consists of Zircaloy-2 clad uranium fuel discharged from the N-Reactor. A small portion of the SNF is Single Pass Reactor (SPR) Fuel, which is aluminum clad uranium fuel. The SNF will be loaded into Multi-Canister Overpacks (MCOs) at the K Basins, transferred to the Cold Vacuum Drying (CVD) facility for initial fuel conditioning, and transported to the Canister Storage Building (CSB) for staging, final fuel conditioning, and dry storage. The MCO is a transportation, conditioning, and storage vessel. The MCO consists of a 24 inch pipe with a welded bottom closure and a top closure that is field welded after the MCO is loaded with SNF. The MCO is handled and transported in the vertical orientation during all operations. Except for operations within the CSB, the MCO is always within the transportation cask which primarily provides radiological shielding and structural protection of the MCO. The MCO closure operations location study provides a relative evaluation of location options at the K Basins and the CVD Facility and recommends that the MCO closure weld be performed, inspected, and repaired at the CVD Facility.

Goldmann, L.H.

1996-04-15T23:59:59.000Z

359

Genotypic and environmental factors influencing flesh color, carotene content, total carotenoids, total phenolics and antioxidant activity in potato (Solanum tuberosum L.)  

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 of two yellow flesh and two white flesh potato varieties were also determined. Flesh color was determined using a Hunter Colorimeter. Significant differences were found between the same variety grown in both locations for L* value, chroma, and hue. Texas grown tubers were lighter and redder than Colorado grown tubers, which were more yellow. Colorado tubers were lighter in the center than Texas tubers. Carotene and total carotenoid content of the same potato varieties grown in Texas and Colorado were determined, using BPLC and spectrophotometric techniques. Significant differences were found between the same variety grown in both locations for lutein, zeaxanthin, and total carotenoid content. Lutein and total carotenoids were greater in Colorado grown tubers, while zeaxanthin was greater in tubers grown in Texas. Data from the Hunter calorimeter, BPLC, and spectrophotometer were highly correlated, indicating that either of the three instruments can be used to determine flesh color, carotene and total carotenoid content. Varieties differed in antioxidant activity and total phenolic content. Granola had the highest antioxidant activity and Russet Norkotah the highest total phenolic content, while Yukon Gold had the lowest antioxidant activity and total phenolic content. Differences were slight among tuber parts in antioxidant activity, but they were significantly different in total phenolic content. Skin tissue had the highest antioxidant activity and total phenolic content. These differences in flesh color, carotene content, and total carotenoids were controlled genetically but were influenced by environment.

Al-Saikhan, Mohamed Salem

1994-01-01T23:59:59.000Z

360

Alternative Fuels Data Center: Ethanol Fueling Station Locations  

Alternative Fuels and Advanced Vehicles Data Center (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

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

Categorical Exclusion Determinations: Other Location | Department of Energy  

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

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

362

Alternative Fueling Station Locator - Mobile | Open Energy Information  

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

363

AOCS Official Method Db 5-48  

Science Conference Proceedings (OSTI)

Total Alkalinity of Alcohol-Insoluble Matter AOCS Official Method Db 5-48 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads AOCS ...

364

Characterization of maize testing locations in eastern and southern Africa  

E-Print Network (OSTI)

The region of eastern and southern Africa is very diverse in environments and agronomic practices. The region has one of the highest per capita consumption of maize (Zea mays. L), which is predominantly produced by smallholder farmers. Some important constraints facing these farmers include drought and low fertility. For decades, the International Center for Wheat and Maize Improvement (CIMMYT) has been involved in developing maize genotypes that have high grain yields and are tolerant to drought, low fertility and other important constraints. This germplasm is developed for wide adaptation. However, the development of superior germplasm is significantly affected by interaction between genotypes and the environment (i.e., genotype by environment interaction, GEI). To estimate and understand GEI maize genotypes are evaluated in a range of environments representing as much variability of the target growing areas as possible. Because of dwindling resources needed to conduct testing in the region, it may not be possible to test in all potential target areas. Therefore, a careful process of site selection for testing is essential to improve efficiencies in cultivar testing and deployment. The objective of this research was to characterize the maize testing locations of the eastern and southern Africa region. Historical data from CIMMYT Regional Trials from 1999 to 2003 was used to characterize the environments and estimate genetic parameters. Environmnent and GEI showed consistently high contributions to the total variation observed among genotypes for grain yield. Environment contributed over 60% and sometimes up to 85% of total variation observed. Sequential retrospective pattern analysis (Seqret) was conducted on the adjusted standardized grain yield. A total of 7 groups of environments were identified. Repeatabilites, a measure of the proportion of phenotypic variation that is due to genetic differences, was reduced under stress conditions. The relationship among traits showed that anthesis-silking interval (ASI) is an important selective trait, which can improve selection efficiency for grain yield under stress conditions. Stability analysis provided an opportunity to observe the response and adaptation of genotypes to a wide range of environments. Variety ZM621 was a stable and high yielding genotype.

Maideni, Francis W.

2005-05-01T23:59:59.000Z

365

Collection of liquid from below-ground location  

DOE Patents (OSTI)

A method is described for 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. 3 figs.

Phillips, S.J.; Alexander, R.G.

1995-05-30T23:59:59.000Z

366

Final_Tech_Session_Schedule_and_Location.xls  

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

Amounts (k) Drilling per well Total for 85 wells 94 7,990 Surface Equipment Total for 85 wells 19 1,615 Downhole Equipment Total for 85 wells 8 680 Pipeline costs 10 miles 150 SMV...

367

V-012: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting  

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

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

368

V-012: Mozilla Firefox 'window.location' Bugs Permit Cross-Site Scripting  

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

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

369

AOCS Official Method Ca 13-56  

Science Conference Proceedings (OSTI)

Total Gossypol in Oils AOCS Official Method Ca 13-56 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION Total gossypol defines gossypol and gossypol derivatives, bo

370

Etherthreads : an infrastructure for location-based messages  

E-Print Network (OSTI)

This thesis proposes an infrastructure for location-based services for Bluetooth enabled cellular phones. Specifically, it explores the use of this architecture in a location-based messaging application. A user can send ...

Lassey, Bradford, 1980-

2004-01-01T23:59:59.000Z

371

Inventory and facility location models with market selection  

Science Conference Proceedings (OSTI)

We consider important generalizations of a wide class of traditional deterministic inventory and facility location models that we call inventory/facility location models with market selection. Instead of the traditional setting, we are given a ...

Retsef Levi; Joseph Geunes; H. Edwin Romeijn; David B. Shmoys

2005-06-01T23:59:59.000Z

372

A GIS embedded decision support system for bicriteria location problems  

Science Conference Proceedings (OSTI)

In this paper we describe and exemplify the embedment of a Geographical Information System (GIS) platform in a decision support tool previously developed for bicriteria location problems. When the facilities to be located have environmental effects, ...

Sérgio Fernandes; M. Eugénia Captivo; João N. Clímaco

2010-08-01T23:59:59.000Z

373

Policy-aware sender anonymity in Location-based services  

E-Print Network (OSTI)

LBS Server Location Server CSP Sender Figure 1.1: LBS ModelService Provider, denoted as CSP, the Location Server,is either the MPC in the CSP’s network or an Over-The-Top (

Vyas, Avinash

2011-01-01T23:59:59.000Z

374

Locations of Smart Grid Demonstration and Large-Scale Energy...  

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

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...

375

Statistical learning theory for location fingerprinting in wireless LANs  

Science Conference Proceedings (OSTI)

In this paper, techniques and algorithms developed in the framework of Statistical Learning Theory are applied to the problem of determining the location of a wireless device by measuring the signal strength values from a set of access points (location ... Keywords: Context-aware computing, Location management, Mobile computing, Statistical learning theory, Wi-Fi

Mauro Brunato; Roberto Battiti

2005-04-01T23:59:59.000Z

376

A cutting plane algorithm for the capacitated facility location problem  

Science Conference Proceedings (OSTI)

The Capacitated Facility Location Problem (CFLP) is to locate a set of facilities with capacity constraints, to satisfy at the minimum cost the order-demands of a set of clients. A multi-source version of the problem is considered ... Keywords: Capacitated facility location problem, Facet-enumeration, Mixed dicut inequalities

Pasquale Avella; Maurizio Boccia

2009-05-01T23:59:59.000Z

377

Location-based services deployment and demand: a roadmap model  

Science Conference Proceedings (OSTI)

The advancements in mobile, wireless and positioning technologies have enabled applications and services such as route guiding and emergency call-out assistance. These and other similar services have become known as `location-based services' (LBS). The ... Keywords: Case study, LBS, Location-aware services, Location-based services, Mobile services

Krassie Petrova; Bin Wang

2011-01-01T23:59:59.000Z

378

Multi-criteria warehouse location selection using Choquet integral  

Science Conference Proceedings (OSTI)

The location of a warehouse is generally one of the most important and strategic decision in the optimization of logistic systems. Warehouse location is a long-term decision and is influenced by many quantitative and qualitative factors. Among the main ... Keywords: Choquet integral, Fuzzy, Fuzzy measure, Hierarchy, Multi-criteria, Warehouse location

Tufan Demirel; Nihan Çetin Demirel; Cengiz Kahraman

2010-05-01T23:59:59.000Z

379

Facility location selection using fuzzy topsis under group decisions  

Science Conference Proceedings (OSTI)

This work presents a fuzzy TOPSIS model under group decisions for solving the facility location selection problem, where the ratings of various alternative locations under different subjective attributes and the importance weights of all attributes are ... Keywords: facility location, fuzzy TOPSIS, group decisions, interval arithmetic, ranking

Ta-Chung Chu

2002-12-01T23:59:59.000Z

380

A leader-follower game in competitive facility location  

Science Conference Proceedings (OSTI)

We address the problem of locating new facilities of a firm or franchise that enters a market where a competitor operates existing facilities. The goal of the new entrant firm is to decide the location and attractiveness of its new facilities that maximize ... Keywords: Competitive facility location, Hybrid tabu search heuristic, Leader-follower game, Mixed-integer nonlinear programming

Hande Küçükayd?n; Necati Aras; ?. Kuban Alt?nel

2012-02-01T23:59:59.000Z

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

Maximal covering location problem (MCLP) with fuzzy travel times  

Science Conference Proceedings (OSTI)

This paper presents a fuzzy maximal covering location problem (FMCLP) in which travel time between any pair of nodes is considered to be a fuzzy variable. A fuzzy expected value maximization model is designed for such a problem. Moreover, a hybrid algorithm ... Keywords: Credibility theory, Facility location, Fuzzy travel times, Maximal covering location problem (MCLP), Simulation

Soheil Davari; Mohammad Hossein Fazel Zarandi; Ahmad Hemmati

2011-11-01T23:59:59.000Z

382

The potential for location-aware power management  

Science Conference Proceedings (OSTI)

This paper explores the use of location-awareness to dynamically optimise the energy consumption of an office. It makes use of high-accuracy location data collected over 60 days randomly selected from a year in a commercial environment to evaluate the ... Keywords: context-aware, energy efficiency, location-aware, power management

R. K. Harle; A. Hopper

2008-09-01T23:59:59.000Z

383

Total Cost of Motor-Vehicle Use  

E-Print Network (OSTI)

Grand total social cost of highway transportation Subtotal:of alternative transportation investments. A social-costtransportation option that has These costs will be inefficiently incurred if people do not fully lower total social costs.

Delucchi, Mark A.

1996-01-01T23:59:59.000Z

384

Total cost model for making sourcing decisions  

E-Print Network (OSTI)

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

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

2007-01-01T23:59:59.000Z

385

Contractor: Contract Number: Contract Type: Total Estimated  

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

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...

386

Fractionally total colouring Gn,p  

Science Conference Proceedings (OSTI)

We study the fractional total chromatic number of G"n","p as p varies from 0 to 1. We also present an algorithm that computes the fractional total chromatic number of a random graph in polynomial expected time. Keywords: Fractional total colouring, Graph colouring, Random graphs

Conor Meagher; Bruce Reed

2008-04-01T23:59:59.000Z

387

Site Location of Development Act (Maine) | Department of Energy  

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

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

388

Building Technologies Office: DOE Challenge Home Partner Locator  

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

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 » Building Technologies Office » 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

389

Alternative Fuels Data Center: Natural Gas Fueling Station Locations  

Alternative Fuels and Advanced Vehicles Data Center (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

390

Million Cu. Feet Percent of National Total  

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

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

391

Million Cu. Feet Percent of National Total  

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

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

392

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

393

Million Cu. Feet Percent of National Total  

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

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

394

Million Cu. Feet Percent of National Total  

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

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

395

Million Cu. Feet Percent of National Total  

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

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

396

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

397

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

398

Million Cu. Feet Percent of National Total  

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

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

399

Million Cu. Feet Percent of National Total  

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

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

400

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

402

Million Cu. Feet Percent of National Total  

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

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

403

Million Cu. Feet Percent of National Total  

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

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

404

Million Cu. Feet Percent of National Total  

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

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

405

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

406

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

407

Million Cu. Feet Percent of National Total  

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

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

408

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

409

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

410

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

411

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

412

TotalView Parallel Debugger at NERSC  

NLE Websites -- All DOE Office Websites (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

413

Compare All CBECS Activities: Total Energy Use  

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

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

414

Establish Building Locations for Greenhouse Gas Mitigation | Department of  

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

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

415

Alternative Fueling Station Locator App Provides Info at Your Fingertips |  

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

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

416

Alternative Fueling Station Locator App Provides Info at Your Fingertips |  

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

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

417

A flexible location management scheme for mobile computing  

E-Print Network (OSTI)

Location management for mobile users is an important issue in distributed, mobile computing environments. In this thesis, I propose a flexible location management scheme on the Internet to support mobile users. The proposed scheme supports location search and update operations based on a data replication technique. I implemented the proposed scheme as an experimental prototype using ORACLE Distributed Database Management System (DDBMS), where two clients access independent database objects on one server to simulate the behavior of a distributed system.

Zhang, Ying

1996-01-01T23:59:59.000Z

418

Automated Detection and Location of Indications in Eddy Current Signals  

DOE Patents (OSTI)

A computer implemented information extraction process that locates and identifies eddy current signal features in digital point-ordered signals, said 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.; Oppenlander, Jane E.; Levy, Arthur J.

1998-06-30T23:59:59.000Z

419

AOCS Official Method Tf 1a-64  

Science Conference Proceedings (OSTI)

Total Amine Value of Fatty Amines, Potentiometric Method AOCS Official Method Tf 1a-64 Methods Downloads Methods Downloads DEFINITION The total amine value is the mg of potassium hydroxide equivalent to the basici

420

AOCS Official Method Tf 1b-64  

Science Conference Proceedings (OSTI)

Total Amine Value of Fatty Amines, Indicator Method AOCS Official Method Tf 1b-64 Methods Downloads Methods Downloads DEFINITION The total amine value is the mg of potassium hydroxide equivalent to the basicity in

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

Million Cu. Feet Percent of National Total  

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

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

422

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

423

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

424

Million Cu. Feet Percent of National Total  

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

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

425

Million Cu. Feet Percent of National Total  

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

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

426

Million Cu. Feet Percent of National Total  

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

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

427

Million Cu. Feet Percent of National Total  

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

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

428

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

429

Million Cu. Feet Percent of National Total  

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

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

430

Million Cu. Feet Percent of National Total  

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

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

431

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

432

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

433

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

434

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

435

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

436

Total U.S. Housing Units.......................................  

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Million U.S. Housing Units...

437

Total U.S. Housing Units.......................................  

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Million U.S. Housing Units...

438

Total U.S. Housing Units.......................................  

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Million U.S. Housing Units...

439

Total Natural Gas Underground Storage Capacity  

Annual Energy Outlook 2012 (EIA)

Gas Capacity Total Number of Existing Fields Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

440

Total Natural Gas Underground Storage Capacity  

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

Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of Aquifers Working Gas Capacity of Depleted Fields Total Number of Existing Fields Number of Existing Salt...

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

Total Adjusted Sales of Residual Fuel Oil  

Annual Energy Outlook 2012 (EIA)

End Use: Total Commercial Industrial Oil Company Electric Power Vessel Bunkering Military All Other Period: Annual Download Series History Download Series History Definitions,...

442

Total Adjusted Sales of Distillate Fuel Oil  

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

End Use: Total Residential Commercial Industrial Oil Company Farm Electric Power Railroad Vessel Bunkering On-Highway Military Off-Highway All Other Period: Annual Download Series...

443

Total Sales of Distillate Fuel Oil  

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

End Use: Total Residential Commercial Industrial Oil Company Farm Electric Power Railroad Vessel Bunkering On-Highway Military Off-Highway All Other Period: Annual Download Series...

444

Total Supplemental Supply of Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Product: Total Supplemental Supply Synthetic Propane-Air Refinery Gas Biomass Other Period: Monthly Annual Download Series History Download Series History Definitions, Sources &...

445

Total Atmospheric Crude Oil Distillation Capacity Former ...  

U.S. Energy Information Administration (EIA)

Former Corporation/Refiner Total Atmospheric Crude Oil Distillation Capacity (bbl/cd)a New Corporation/Refiner Date of Sale Table 14. Refinery Sales During 2005

446

,"New Mexico Natural Gas Total Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Total Consumption (MMcf)",1,"Annual",2011 ,"Release Date:","10312013"...

447

THE LABORATORY Located in Menlo Park, California, SLAC National  

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

THE LABORATORY Located in Menlo Park, California, SLAC National Accelerator Laboratory is home to some of the world's most cutting-edge technologies, used by researchers worldwide...

448

Design and Evaluation of an Architecture for Location Privacy  

E-Print Network (OSTI)

Many operators of cellphone networks now offer location-based services to their customers, whereby an operator often outsources service provisioning to a third-party provider. Since a person’s location could reveal sensitive information about the person, the operator must ensure that the service provider processes location information about the operator’s customers in a privacy-preserving way. We propose an architecture for location-based services based on Trusted Computing and Secure Logging. Trusted Computing lets an operator query the configuration of a location-based service. The operator will hand over location information to the service only if the service is configured such that the service provider cannot get access to location information using software-based attacks. This includes passive attacks, where the provider monitors the composition or the timing of information flowing into and out of its service, and active attacks, where the provider modifies or injects customer queries to the service. We introduce several requirements that must be satisfied by a location-based service to defend against passive attacks. Furthermore, we present Secure Logging, an auditing mechanism to defend against active attacks. We present an implementation of our architecture and demonstrate its usefulness by building two sample location-based services on top of it. The evaluation of our architecture shows that its processing delay is hardly noticeable and that timing attacks are very unlikely to succeed. 1

Urs Hengartner

2008-01-01T23:59:59.000Z

449

Property:EIA/861/NercLocation | Open Energy Information  

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 =

450

Reliability Models for Facility Location: The Expected Failure Cost ...  

E-Print Network (OSTI)

Aug 25, 2003 ... Reliability Models for Facility Location: The Expected Failure Cost Case. Lawrence V. Snyder (larry.snyder ***at*** lehigh.edu) Mark S. Daskin ...

451

Rules Establishing Minimum Standards Relating to Location, Design...  

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

Standards Relating to Location, Design, Construction, and Maintenance of Onsite Wastewater Treatment Systems (Rhode Island) Rules Establishing Minimum Standards Relating to...

452

Locating Central Actors in Co-offending Networks - CECM - Simon ...  

E-Print Network (OSTI)

in intelligence and security informatics to better serve law enforcement and ... analysis in general, and then home in on research relevant to locating central ...

453

Maximally exposed offsite individual location determination for NESHAPS compliance  

SciTech Connect

The Environmental Protection Agency (EPA) requires the use of the computer program CAP88 for demonstrating compliance with the National Emission Standard for Hazardous Air Pollutants (NESHAPS.) One of the inputs required for CAP88 is the location of the maximally exposed individual (MEI) by sector and distance. Distances to the MEI have been determined for 15 different potential release locations at SRS. These locations were compared with previous work and differences were analyzed. Additionally, SREL Conference Center was included as a potential offsite location since in the future it may be used as a dormitory. Worst sectors were then determined based on the distances.

Simpkins, A.A.

2000-03-13T23:59:59.000Z

454

Alternative Fueling Station Locator App Provides Info at Your...  

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

stations that offer electricity, natural gas, biodiesel, E85, propane, or hydrogen. | Energy Department The Alternative Fueling Station Locator iPhone app helps you find...

455

Location and design of a competitive facility for profit maximisation  

E-Print Network (OSTI)

A single facility has to be located in competition with fixed existing facilities of similar type. Demand is supposed to be concentrated at a finite number of points,

456

Final_Tech_Session_Schedule_and_Location.xls  

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

Claire Datum: Top of Mt. Simon Sandstone Location of cross section Upper Middle Lower shale Model of Mt. Simon Structure Johnston Hinton Manlove Gas Storage Project Key wells...

457

Location | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Assessment (OPA) OPA Home About OPA Director Staff & Responsibilities Location Project Management SC Projects Other Links SC Federal Project Directors (FPD) and FPD Resources...

458

Optimization Online - An Inventory-Location Model: Formulation ...  

E-Print Network (OSTI)

Jun 5, 2001 ... Abstract: We introduce a new distribution center (DC) location model that incorporates working inventory and safety stock inventory costs at the ...

459

Optimization Online - Socially optimal location of facilities with fixed ...  

E-Print Network (OSTI)

The choice of locations for such facilities influences not only distances for users traveling to the facilities but also user waiting times at the facilities. In contrast to ...

460

NETL: News Release - Pipe Locating Sensor Could Help Prevent...  

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

Ceramic, Plastic and Metallic Objects DES PLAINS, IL - Successful early tests of a pipeline sensor that locates plastic, ceramic and metallic underground pipes could help reduce...

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

Determining Optimal Locations for New Wind Energy Development in Iowa.  

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

462

2012 Ford Fusion V6 Test Cell Location  

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

Fusion V6 Test Cell Location 2WD Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle Architecture Conventional Vehicle Dynamometer Input...

463

Optimal Location of Vertical Wells: A Decomposition Approach  

E-Print Network (OSTI)

Optimal Location of Vertical Wells: A Decomposition Approach M.G. Ierapetritou and C.A. Floudas 1 correspondence should be addressed 1 #12; Abstract The generation of a reservoir development plan with well the optimal vertical well locations is formulated as a MILP problem where the binary variables correspond

464

Survey: Covering problems in facility location: A review  

Science Conference Proceedings (OSTI)

In this study, we review the covering problems in facility location. Here, besides a number of reviews on covering problems, a comprehensive review of models, solutions and applications related to the covering problem is presented after Schilling, Jayaraman, ... Keywords: Covering problem, Facility location, Mathematical formulation, Survey

Reza Zanjirani Farahani; Nasrin Asgari; Nooshin Heidari; Mahtab Hosseininia; Mark Goh

2012-02-01T23:59:59.000Z

465

Locanyms: towards privacy-preserving location-based services  

Science Conference Proceedings (OSTI)

Recent advances in geolocated capacities, secure and verified positioning techniques, ubiquitous connectivity, as well as mobile and embedded systems, have led to the development of a plethora of Location-Based Services (LBS), personalizing the services ... Keywords: location-based services, privacy, ubiquitous computing

Sebastien Gambs; Marc-Olivier Killijian; Matthieu Roy; Moussa Traore

2012-05-01T23:59:59.000Z

466

Advanced support vector machines for 802.11 indoor location  

Science Conference Proceedings (OSTI)

Due to the proliferation of ubiquitous computing services, locating a device in indoor scenarios has received special attention during recent years. A variety of algorithms are based on Wi-Fi measurements of the received signal strength and estimate ... Keywords: Autocorrelation kernel, Complex support vector machines, Fingerprinting, IEEE 802.11, Indoor location, Support vector machines

Carlos Figuera; José Luis Rojo-Álvarez; Mark Wilby; Inmaculada Mora-Jiménez; Antonio J. Caamaño

2012-09-01T23:59:59.000Z

467

Optimizing Fire Station Locations for the Istanbul Metropolitan Municipality  

Science Conference Proceedings (OSTI)

The Istanbul Metropolitan Municipality IMM seeks to determine locations for additional fire stations to build in Istanbul; its objective is to make residences and historic sites reachable by emergency vehicles within five minutes of a fire station’s ... Keywords: fire station location, geographic information system, maximal-covering problem, set-covering problem

Emel Akta?; Özay Özayd?n; Burçin Bozkaya; Füsun Ülengin; ?ule Önsel

2013-05-01T23:59:59.000Z

468

Measuring long-term location privacy in vehicular communication systems  

Science Conference Proceedings (OSTI)

Vehicular communication systems are an emerging form of communication that enables new ways of cooperation among vehicles, traffic operators, and service providers. However, many vehicular applications rely on continuous and detailed location information ... Keywords: Accumulated information, Entropy, Location privacy, Metric, Vehicular communication systems

Zhendong Ma; Frank Kargl; Michael Weber

2010-07-01T23:59:59.000Z

469

A transmission line fault locator based on Elman recurrent networks  

Science Conference Proceedings (OSTI)

In this paper, a transmission line fault location model which is based on an Elman recurrent network (ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with different inception times are implemented on a 380-kV ... Keywords: Elman networks, Fault location, Transmission lines, Wavelet transform

Sami Ekici; Selcuk Yildirim; Mustafa Poyraz

2009-01-01T23:59:59.000Z

470

Poetic augmented reality: place-bound literature in locative media  

Science Conference Proceedings (OSTI)

This paper presents the textopia project, a locative media design experiment set up to explore the relationship between places and literary texts. The system allows a user to walk through the city of Oslo and listen to texts that talk about the ... Keywords: locative media, place-based storytelling, user-generated content

Anders Sundnes Løvlie

2009-09-01T23:59:59.000Z

471

An adaptive location estimator using tracking algorithms for indoor WLANs  

Science Conference Proceedings (OSTI)

This paper presents adaptive algorithms for estimating the location of a mobile terminal (MT) based on radio propagation modeling (RPM), Kalman filtering (KF), and radio-frequency identification (RFID) assisting for indoor wireless local area networks ... Keywords: Calibration, Kalman filtering, Location estimation, Neural network, Radio-frequency identification, Tracking, Wireless local area network

Yih-Shyh Chiou; Chin-Liang Wang; Sheng-Cheng Yeh

2010-10-01T23:59:59.000Z

472

Property:Geothermal/LocationOfProject | Open Energy Information  

Open Energy Info (EERE)

LocationOfProject LocationOfProject Jump to: navigation, search Property Name Geothermal/LocationOfProject Property Type Page Description Location of Project Pages using the property "Geothermal/LocationOfProject" Showing 25 pages using this property. (previous 25) (next 25) A A 3D-3C Reflection Seismic Survey and Data Integration to Identify the Seismic Response of Fractures and Permeable Zones Over a Known Geothermal Resource at Soda Lake, Churchill Co., NV Geothermal Project + Soda Lake, Nevada + A Demonstration System for Capturing Geothermal Energy from Mine Waters beneath Butte, MT Geothermal Project + Butte, Montana + A Geothermal District-Heating System and Alternative Energy Research Park on the NM Tech Campus Geothermal Project + Socorro, New Mexico +

473

2009 Total Energy Production by State | Department of Energy  

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

Sandy Alternative Fueling Station Locator Alternative Fueling Station Locator Energy Department National Labs and Minority Serving Institutions Energy Department National...

474

AOCS Official Method Ca 14-56  

Science Conference Proceedings (OSTI)

Total, Free and Combined Glycerol Iodometric-Periodic Acid Method AOCS Official Method Ca 14-56 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method deter

475

AOCS Official Method Da 24-48  

Science Conference Proceedings (OSTI)

Sugars, Munson and Walker Method AOCS Official Method Da 24-48 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the total sugars in the sam

476

Integrated use of fuzzy c-means and convex programming for capacitated multi-facility location problem  

Science Conference Proceedings (OSTI)

In this study a fuzzy c-means clustering algorithm based method is proposed for solving a capacitated multi-facility location problem of known demand points which are served from capacitated supply centres. It involves the integrated use of fuzzy c-means ... Keywords: Capacitated multi-facility location problem, Convex programming, Fuzzy c-means

Tar?k Küçükdeniz; Alp Baray; Kubilay Ecerkale; ?akir Esnaf

2012-03-01T23:59:59.000Z

477

Application of Multi-objects Fuzzy Comprehension Evaluation in Selecting Location of Coal-Fired Plant Construction Project  

Science Conference Proceedings (OSTI)

The paper introduces the method of multi-objects fuzzy comprehension evaluation briefly, and applies it to select location of coal-fired plants construction project. Multi-objective fuzzy comprehensive evaluation in plant site application has strong ... Keywords: Fuzzy comprehension evaluation, Multi-objects decision, Selecting location of coal-fired plant

Li Wei; Zhang Zhen-gang; Wen Xinpu

2008-12-01T23:59:59.000Z

478

Hawking radiation and total entropy change as tunneling  

E-Print Network (OSTI)

In the frame of Hamilton-Jacobi method, the back-reactions of the radiating particles together with the total entropy change of the whole system are investigated. The emission probability from this processing is found to be equivalent to the null geodesic method. However the total entropy of the system, particles and black hole, is increased yet very little, which is a little different. This method can be applied to any sort of horizons and particles without a specific choice of (regular-across-the-horizon) coordinates. Its physical meaning is more obvious: the negative energy one of a virtual particle pair is absorbed by the black hole, resulting in the temperature, electric potential and angular velocity increase; then the black hole amount of heat, electric charge and angular momentum can spontaneously transfer to the positive energy particle; when obtaining enough energy, it can escape away to infinity, visible to distant observers.

Ding, Chikun

2013-01-01T23:59:59.000Z

479

Radiation Measurements 40 (2005) 560568 www.elsevier.com/locate/radmeas  

E-Print Network (OSTI)

Radiation Measurements 40 (2005) 560­568 www.elsevier.com/locate/radmeas Long-term measurements of radon progeny concentrations with solid-state nuclear track detectors K.N.Yua, , D. Nikezica,1 , F-term measurements of radon decay products with solid-state nuclear track detectors. We then propose a method

Yu, K.N.

480

Using Downhole Probes to Locate and Characterize Buried Transuranic and Mixed Low Level Waste  

Science Conference Proceedings (OSTI)

Borehole logging probes were developed and tested to locate and quantify transuranic elements in subsurface disposal areas and in contaminated sites at USDOE Weapons Complex sites. A new method of measuring very high levels of chlroine in the subsurface was developed using pulsed neutron technology from oilfield applications. The probes were demonstrated at the Hanford site in wells containing plutonium and other contaminants.

Steinman, Donald K; Bramblett, Richard L; Hertzog, Russel C

2012-06-25T23:59:59.000Z

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

PILGRIM: a Location Broker and Mobility-Aware Recommendation System  

E-Print Network (OSTI)

Mobile computing adds a new, mostly unexplored dimension to data mining: the user's position is now a relevant information, and recommendation systems, i.e. services that select and rank a small number of links that are probably of interest to the user, have the opportunity to take location into account. The use of location discovery systems, that automatically detect the device location, relieve the user from the burden of explicitly inserting that information when formulating a query. In this paper, a mobility-aware recommendation system that uses the location of the user to filter recommended links is proposed. To avoid the potential problems and costs caused by systems where the bindings between locations and resources are inserted by hand, a new middleware layer, the location broker, collects a historic database where user locations and links explored in the past are mined to develop models relating resources to their spatial usage pattern. The models are used to calculate a preference metric when the current user is asking for resources of interest.

Mauro Brunato; Roberto Battiti

2002-01-01T23:59:59.000Z

482

location privacy based on trusted computing and secure logging  

E-Print Network (OSTI)

Many operators of cellphone networks now offer locationbased services to their customers, whereby an operator often outsources service provisioning to a third-party provider. Since a person’s location could reveal sensitive information about the person, the operator must ensure that the service provider processes location information about the operator’s customers in a privacy-preserving way. So far, this assurance has been based on a legal contract between the operator and the provider. However, there has been no technical mechanism that lets the operator verify whether the provider adheres to the privacy policy outlined in the contract. We propose an architecture for location-based services based on Trusted Computing and Secure Logging that provides such a technical mechanism. Trusted Computing lets an operator query the configuration of a location-based service. The operator will hand over location information to the service only if the service is configured such that the service provider cannot get access to location information using software-based attacks. This includes passive attacks, where the provider monitors information flowing into and out of its service, and active attacks, where the provider modifies or injects customer queries to the service. We introduce several requirements that must be satisfied by a location-based service to defend against passive attacks. Furthermore, we present Secure Logging, an auditing mechanism to defend against active attacks.

Urs Hengartner

2008-01-01T23:59:59.000Z

483

Table HC7-8a. Home Office Equipment by Urban/Rural Location,  

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

484

Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location,  

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

485

Million Cu. Feet Percent of National Total  

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

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

486

Million Cu. Feet Percent of National Total  

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

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

487

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

488

Million Cu. Feet Percent of National Total  

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

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

489

Million Cu. Feet Percent of National Total  

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

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

490

Million Cu. Feet Percent of National Total  

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

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

491

Million Cu. Feet Percent of National Total  

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

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

492

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

493

Million Cu. Feet Percent of National Total  

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

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

494

Million Cu. Feet Percent of National Total  

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

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

495

Million Cu. Feet Percent of National Total  

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

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

496

Million Cu. Feet Percent of National Total  

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

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

497

Million Cu. Feet Percent of National Total  

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

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

498

Million Cu. Feet Percent of National Total  

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

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

499

Million Cu. Feet Percent of National Total  

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

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

500

Million Cu. Feet Percent of National Total  

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

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