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Note: This page contains sample records for the topic "transportation total automated" from the National Library of EnergyBeta (NLEBeta).
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1

Automated Transportation Management System (ATMS)  

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

Re evised June 2010 Re evised June 2010 Autom The Depa Transport an integra system al outbound air. Its ea 1989 DOE significant operationa commerce electronic rates, pre transporta users eva shipments opportunit logistics im ATMS is i radioactiv shipments System ATMS is a activities p packaging including materials. common s lading, fre * W * C S * A * H * E * * O 0 mated T artment of Ene tation Manage ated web-base lowing users freight shipm arly developm E Inspector G t opportunitie al efficiency t e. Today's sy cally prepare s pare shipping ation bills befo aluate carrier s, and use co ties for system mprovements ts capability t ve and other h s in a comple Modules a modular sys performed by g and transpo radioactive a . Its modules shipment info eight bills, rate System Web Applic Carrier Eval Selection Automated

2

Automated Transportation Management System (ATMS) | Department...  

Office of Environmental Management (EM)

of Energy's (DOE's) Automated Transportation Management System is an integrated web-based logistics management system allowing users to manage inbound and outbound freight...

3

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

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

4

Eccentricity Error Correction for Automated Estimation of Polyethylene Wear after Total Hip Arthroplasty  

E-Print Network (OSTI)

Eccentricity Error Correction for Automated Estimation of Polyethylene Wear after Total Hip. Wire markers are typically attached to the polyethylene acetabular component of the prosthesis so

St Andrews, University of

5

Security plan for the Automated Transportation Management System  

SciTech Connect

The Automated Transportation Management System (ATMS) is an unclassified non-sensitive system consisting of hardware and software designed to facilitate the shipment of goods for the US Department of Energy (DOE). The system is secured against waste, fraud, abuse, misuse, and programming errors through a series of security measures that are discussed in detail in this document.

Not Available

1994-04-01T23:59:59.000Z

6

Transportable automated ammonia sensor based on a pulsed thermoelectrically cooled  

E-Print Network (OSTI)

Transportable automated ammonia sensor based on a pulsed thermoelectrically cooled quantum single-frequency, thermoelectrically cooled, pulsed quantum-cascade laser with an embedded distributed absorption spectroscopy with a pulsed QC DFB laser was reported in Ref. 3, where wavelength modulation

7

Coupled robot-flow injection analysis system for fully automated determination of total polyphenols in olive oil  

Science Journals Connector (OSTI)

Coupled robot-flow injection analysis system for fully automated determination of total polyphenols in olive oil ...

Jose A. Garcia-Mesa; M. Dolores Luque de Castro; Miguel Valcarcel

1993-12-01T23:59:59.000Z

8

Automated Transportation Management System (ATMS) V2.0 logistics module PBI acceptance criteria  

SciTech Connect

This document defines the acceptance criteria for the Automated Transportation Management System V2.0 Logistics Module Performance Based Incentive (PBI). This acceptance criteria will be the primary basis for the generation of acceptance test procedures. The purpose of this document is to define the minimum criteria that must be fulfilled to guarantee acceptance of the Logistics Module.

Weidert, R.S.

1995-02-28T23:59:59.000Z

9

Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual  

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

Total Delivered Transportation Energy Consumption, Projected vs. Actual Total Delivered Transportation Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 AEO 1997 24.7 25.3 25.9 26.4 27.0 27.5 28.0 28.5 28.9 29.4 29.8 30.3 30.6 30.9 31.1 31.3 AEO 1998 25.3 25.9 26.7 27.1 27.7 28.3 28.8 29.4 30.0 30.6 31.2 31.7 32.3 32.8 33.1 AEO 1999 25.4 26.0 27.0 27.6 28.2 28.8 29.4 30.0 30.6 31.2 31.7 32.2 32.8 33.1 AEO 2000 26.2 26.8 27.4 28.0 28.5 29.1 29.7 30.3 30.9 31.4 31.9 32.5 32.9

10

Modeling the Energy Use of a Connected and Automated Transportation System (Poster)  

SciTech Connect

Early research points to large potential impacts of connected and automated vehicles (CAVs) on transportation energy use - dramatic savings, increased use, or anything in between. Due to a lack of suitable data and integrated modeling tools to explore these complex future systems, analyses to date have relied on simple combinations of isolated effects. This poster proposes a framework for modeling the potential energy implications from increasing penetration of CAV technologies and for assessing technology and policy options to steer them toward favorable energy outcomes. Current CAV modeling challenges include estimating behavior change, understanding potential vehicle-to-vehicle interactions, and assessing traffic flow and vehicle use under different automation scenarios. To bridge these gaps and develop a picture of potential future automated systems, NREL is integrating existing modeling capabilities with additional tools and data inputs to create a more fully integrated CAV assessment toolkit.

Gonder, J.; Brown, A.

2014-07-01T23:59:59.000Z

11

(en transport pblic) Temps total del trajecte: 40 minuts  

E-Print Network (OSTI)

addicionals (CO2): 3,78 Kg Emissions addicionals (SO2): 0,002 Kg Durada: 40 min. Cost mitjà del viatge2 : 1,90 Emissions addicionals (CO2): 0 kg Emissions addicionals (SO2): 0 kg Transport públicTransport privat.188,35 Emissions addicionals (CO2): 1.329,32 Kg Emissions addicionals (SO2): 0,82 Kg Temps acumulat: 9,78 dies

Oro, Daniel

12

(en transport pblic) Temps total del trajecte: 123 minuts  

E-Print Network (OSTI)

addicionals (CO2): 13,96 Kg Emissions addicionals (SO2): 0,009 Kg Durada: 123 min. Cost mitjà del viatge2 : 1,52 Emissions addicionals (CO2): 0 kg Emissions addicionals (SO2): 0 kg Transport públicTransport privat.392'96 Emissions addicionals (CO2): 4.914,07 Kg Emissions addicionals (SO2): 3,02 Kg Temps acumulat: 30,07 dies

Oro, Daniel

13

Table 21. Total Transportation Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Transportation Energy Consumption, Projected vs. Actual Transportation Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 18.6 18.2 17.7 17.3 17.0 16.9 AEO 1983 19.8 20.1 20.4 20.4 20.5 20.5 20.7 AEO 1984 19.2 19.0 19.0 19.0 19.1 19.2 20.1 AEO 1985 20.0 19.8 20.0 20.0 20.0 20.1 20.3 AEO 1986 20.5 20.8 20.8 20.6 20.7 20.3 21.0 AEO 1987 21.3 21.5 21.6 21.7 21.8 22.0 22.0 22.0 21.9 22.3 AEO 1989* 21.8 22.2 22.4 22.4 22.5 22.5 22.5 22.5 22.6 22.7 22.8 23.0 23.2 AEO 1990 22.0 22.4 23.2 24.3 25.5 AEO 1991 22.1 21.6 21.9 22.1 22.3 22.5 22.8 23.1 23.4 23.8 24.1 24.5 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 AEO 1992 21.7 22.0 22.5 22.9 23.2 23.4 23.6 23.9 24.1 24.4 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 27.1 AEO 1993 22.5 22.8 23.4 23.9 24.3 24.7 25.1 25.4 25.7 26.1 26.5 26.8 27.2 27.6 27.9 28.1 28.4 28.7 AEO 1994 23.6

14

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

15

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

16

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

17

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

18

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

19

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

20

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

Note: This page contains sample records for the topic "transportation total automated" 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.........................................................................  

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

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

22

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

23

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

24

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

25

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

26

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

27

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

28

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

29

Test Automation Test Automation  

E-Print Network (OSTI)

Test Automation Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2013 Mousavi: Test Automation #12;Test Automation Outline Test Automation Mousavi: Test Automation #12;Test Automation Why? Challenges of Manual Testing Test-case design: Choosing inputs

Mousavi, Mohammad

30

"Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual"  

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

Total Delivered Transportation Energy Consumption, Projected vs. Actual" Total Delivered Transportation Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",23.62,24.08,24.45,24.72,25.06,25.38,25.74,26.16,26.49,26.85,27.23,27.55,27.91,28.26,28.61,28.92,29.18,29.5 "AEO 1995",,23.26,24.01,24.18,24.69,25.11,25.5,25.86,26.15,26.5,26.88,27.28,27.66,27.99,28.25,28.51,28.72,28.94 "AEO 1996",,,23.89674759,24.08507919,24.47502899,24.84881783,25.25887871,25.65527534,26.040205,26.38586426,26.72540092,27.0748024,27.47158241,27.80837631,28.11616135,28.3992157,28.62907982,28.85912895,29.09081459 "AEO 1997",,,,24.68686867,25.34906006,25.87225533,26.437994,27.03513145,27.52499771,27.96490097,28.45482063,28.92999458,29.38239861,29.84147453,30.26097488,30.59760475,30.85550499,31.10873222,31.31938744

31

Framework for a flexible, real-time controller for automated material transport systems  

E-Print Network (OSTI)

. V MATERIAL TRANSPORT CONTROLLER: FUNCTIONS 2b SPECIFICATIONS . . 5. 1 Startup Routine 5 2 External Commands. 5. 3 Internal Commands. . 5. 4 Message Sequence. . Page 10 13 15 21 21 23 23 25 27 28 34 34 35 39 40 CHAPTER 5. 5... decomposition for the AGV controller. RapidCIM shop floor controller structure Material transport controller structure. Material transport controller architecture. Control configurations. Physical layout of a conveyor network Conventional representation...

Edlabadkar, Abhay

2012-06-07T23:59:59.000Z

32

Barge Truck Total  

Annual Energy Outlook 2012 (EIA)

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

33

Automating Risk Assessments of Hazardous Material Shipments for Transportation Routes and Mode Selection  

SciTech Connect

The METEOR project at Idaho National Laboratory (INL) successfully addresses the difficult problem in risk assessment analyses of combining the results from bounding deterministic simulation results with probabilistic (Monte Carlo) risk assessment techniques. This paper describes a software suite designed to perform sensitivity and cost/benefit analyses on selected transportation routes and vehicles to minimize risk associated with the shipment of hazardous materials. METEOR uses Monte Carlo techniques to estimate the probability of an accidental release of a hazardous substance along a proposed transportation route. A METEOR user selects the mode of transportation, origin and destination points, and charts the route using interactive graphics. Inputs to METEOR (many selections built in) include crash rates for the specific aircraft, soil/rock type and population densities over the proposed route, and bounding limits for potential accident types (velocity, temperature, etc.). New vehicle, materials, and location data are added when available. If the risk estimates are unacceptable, the risks associated with alternate transportation modes or routes can be quickly evaluated and compared. Systematic optimizing methods will provide the user with the route and vehicle selection identified with the lowest risk of hazardous material release. The effects of a selected range of potential accidents such as vehicle impact, fire, fuel explosions, excessive containment pressure, flooding, etc. are evaluated primarily using hydrocodes capable of accurately simulating the material response of critical containment components. Bounding conditions that represent credible accidents (i.e; for an impact event, velocity, orientations, and soil conditions) are used as input parameters to the hydrocode models yielding correlation functions relating accident parameters to component damage. The Monte Carlo algorithms use random number generators to make selections at the various decision points such as; crash, location, etc. For each pass through the routines, when a crash is randomly selected, crash parameters are then used to determine if failure has occurred using either external look up tables, correlations functions from deterministic calculations, or built in data libraries. The effectiveness of the software was recently demonstrated in safety analyses of the transportation of radioisotope systems for the US Dept. of Energy. These methods are readily adaptable to estimating risks associated with a variety of hazardous shipments such as spent nuclear fuel, explosives, and chemicals.

Barbara H. Dolphin; William D. RIchins; Stephen R. Novascone

2010-10-01T23:59:59.000Z

34

Measuring total longshore sediment transport with a LISST instrumented mini-sled.  

E-Print Network (OSTI)

A surf zone sediment transport study was conducted in Jamaica Beach, Texas, using new oceanographic equipment. A mini-sled was constructed and outfitted with an instrument package that consisted of two velocimeters, one current profiler, three OBS...

Huchzermeyer, Erick Karl

2006-04-12T23:59:59.000Z

35

Sustainable Transportation Decision-Making: Spatial Decision Support Systems (SDSS) and Total Cost Analysis  

E-Print Network (OSTI)

is to develop a Spatial Decision Support System (SDSS) that will lead to more balanced decision-making in transportation investment and optimize the most sustainable high-speed rail (HSR) route. The decision support system developed here explicitly elaborates...

Kim, Hwan Yong

2013-04-04T23:59:59.000Z

36

Integration of numerical analysis tools for automated numerical optimization of a transportation package design  

SciTech Connect

The use of state-of-the-art numerical analysis tools to determine the optimal design of a radioactive material (RAM) transportation container is investigated. The design of a RAM package`s components involves a complex coupling of structural, thermal, and radioactive shielding analyses. The final design must adhere to very strict design constraints. The current technique used by cask designers is uncoupled and involves designing each component separately with respect to its driving constraint. With the use of numerical optimization schemes, the complex couplings can be considered directly, and the performance of the integrated package can be maximized with respect to the analysis conditions. This can lead to more efficient package designs. Thermal and structural accident conditions are analyzed in the shape optimization of a simplified cask design. In this paper, details of the integration of numerical analysis tools, development of a process model, nonsmoothness difficulties with the optimization of the cask, and preliminary results are discussed.

Witkowski, W.R.; Eldred, M.S.; Harding, D.C.

1994-09-01T23:59:59.000Z

37

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

E-Print Network (OSTI)

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

Nimmo, Francis

38

Automation Status  

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

NREL Manufacturing R&D Workshop NREL Manufacturing R&D Workshop NREL H2/FC Manufacturing R&D Workshop Automation Status Garry Sperrick garry@sperkllc.com 585-259-0311 August 11, 2011 Automation Status NREL Manufacturing R&D Workshop Presentation Overview ƒ Brief Introduction ƒ DOE / NREL - Review & Discussion ƒ Automation Platforms ƒ Automation Processes ƒ Automation Considerations of the Manufacturer ƒ Manufacturer and the Supplier ƒ Three (3) Automation Programs Following these Guidelines ƒ Automotive Component Manufacturing ƒ Medical Manufacturing ƒ Membrane Electrode Assembly Manufacturing ƒ Hypothetical Fuel Cell Manufacturing Platforms August 11, 2011 Automation Status NREL Manufacturing R&D Workshop Professional Bio ƒ Automation Technician - Mobil Chemical

39

Home Automation  

E-Print Network (OSTI)

In this paper I briefly discuss the importance of home automation system. Going in to the details I briefly present a real time designed and implemented software and hardware oriented house automation research project, capable of automating house's electricity and providing a security system to detect the presence of unexpected behavior.

Ahmed, Zeeshan

2010-01-01T23:59:59.000Z

40

Test Automation Ant JUnit Test Automation  

E-Print Network (OSTI)

Test Automation Ant JUnit Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2012 Mousavi: Test Automation #12;Test Automation Ant JUnit Outline Test Automation Ant JUnit Mousavi: Test Automation #12;Test Automation Ant JUnit Why? Challenges of Manual Testing

Mousavi, Mohammad

Note: This page contains sample records for the topic "transportation total automated" 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

Transportation  

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

Transportation Transportation Transportation of Depleted Uranium Materials in Support of the Depleted Uranium Hexafluoride Conversion Program Issues associated with transport of depleted UF6 cylinders and conversion products. Conversion Plan Transportation Requirements The DOE has prepared two Environmental Impact Statements (EISs) for the proposal to build and operate depleted uranium hexafluoride (UF6) conversion facilities at its Portsmouth and Paducah gaseous diffusion plant sites, pursuant to the National Environmental Policy Act (NEPA). The proposed action calls for transporting the cylinder at ETTP to Portsmouth for conversion. The transportation of depleted UF6 cylinders and of the depleted uranium conversion products following conversion was addressed in the EISs.

42

Transportation  

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

Health Risks » Transportation Health Risks » Transportation DUF6 Health Risks line line Accidents Storage Conversion Manufacturing Disposal Transportation Transportation A discussion of health risks associated with transport of depleted UF6. Transport Regulations and Requirements In the future, it is likely that depleted uranium hexafluoride cylinders will be transported to a conversion facility. For example, it is currently anticipated that the cylinders at the ETTP Site in Oak Ridge, TN, will be transported to the Portsmouth Site, OH, for conversion. Uranium hexafluoride has been shipped safely in the United States for over 40 years by both truck and rail. Shipments of depleted UF6 would be made in accordance with all applicable transportation regulations. Shipment of depleted UF6 is regulated by the

43

Automation i Distributionsnt; Distribution automation.  

E-Print Network (OSTI)

?? As a part of Gteborg Energis work towards a smarter electric grid, the company has chosen to investigate the possibilities of automation in their (more)

Mrd, Mathias

2012-01-01T23:59:59.000Z

44

A three-dimensional total odd nitrogen (NOy) simulation during SONEX using a stretched-grid chemical transport model  

E-Print Network (OSTI)

Assimilation System (GEOS-STRAT DAS). A new algorithm is used to estimate the lightning flash rates needed to calculate NOy emission by lightning. This algorithm parameterizes the flash rate in terms of upper. The lightning algorithm reproduces the temporally and spatially averaged total flash rate accurately; however

Stenchikov, Georgiy L.

45

Highway Electrification And Automation  

E-Print Network (OSTI)

Electrification and Automation Technologies - RegionalHighway Electrification and Automation Steven E. Shladovertechnology of highway automation, as well as its belief

Shladover, Steven E.

1992-01-01T23:59:59.000Z

46

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

47

Transportation  

Science Journals Connector (OSTI)

The romantic rides in Sandburgs eagle-car changed society. On the one hand, motor vehicle transportation is an integral thread of societys fabric. On the other hand, excess mobility fractures old neighborh...

David Hafemeister

2014-01-01T23:59:59.000Z

48

Preface: Cognitive Engineering in Automated Systems Design  

E-Print Network (OSTI)

Preface: Cognitive Engineering in Automated Systems Design This special issue was motivated by an apparent paucity of research on applications of cognitive engineering principles in the design of complex systems including mainte- nance, manufacturing, and transportation systems. Cognitive engineering

Kaber, David B.

49

Transportation  

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

Due to limited parking, all visitors are strongly encouraged to: Due to limited parking, all visitors are strongly encouraged to: 1) car-pool, 2) take the Lab's special conference shuttle service, or 3) take the regular off-site shuttle. If you choose to use the regular off-site shuttle bus, you will need an authorized bus pass, which can be obtained by contacting Eric Essman in advance. Transportation & Visitor Information Location and Directions to the Lab: Lawrence Berkeley National Laboratory is located in Berkeley, on the hillside directly above the campus of University of California at Berkeley. The address is One Cyclotron Road, Berkeley, California 94720. For comprehensive directions to the lab, please refer to: http://www.lbl.gov/Workplace/Transportation.html Maps and Parking Information: On Thursday and Friday, a limited number (15) of barricaded reserved parking spaces will be available for NON-LBNL Staff SNAP Collaboration Meeting participants in parking lot K1, in front of building 54 (cafeteria). On Saturday, plenty of parking spaces will be available everywhere, as it is a non-work day.

50

From Check-in/Check-out to Be-in/Be-out: BLE-based Automated Journey Payment in Public Transportation:.  

E-Print Network (OSTI)

??The current Dutch OV-chipkaart payment system for public transportation is based on RFID cards and requires a lot of manual actions from travellers. In this (more)

Treurniet, J.J.

2015-01-01T23:59:59.000Z

51

Automation Performance Index.  

E-Print Network (OSTI)

??Automation is intended to improve overall building performance. Building Automation Systems (BAS) are attractive and popular due to their promise of increased operational effectiveness. BAS (more)

Makarechi, Shariar

2006-01-01T23:59:59.000Z

52

Views on Automation  

Science Journals Connector (OSTI)

Views on Automation ... Industrial managements, he feels, must allay workers' fears by showing how they can take pride in the greater accomplishment of automated plants. ...

1957-07-29T23:59:59.000Z

53

Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data  

E-Print Network (OSTI)

Urban public transport providers have historically planned and managed their networks and services with limited knowledge of their customers' travel patterns. While ticket gates and bus fareboxes yield counts of passenger ...

Gordon, Jason B. (Jason Benjamin)

2012-01-01T23:59:59.000Z

54

1. [M] Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans-Alaska Pipeline that is consumed in pumping. As always, try not to look anything up.  

E-Print Network (OSTI)

1. [M] Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans to this (which is 1 bend per 10 m). So we can toss this out. Now estimate the energy content of gasoline: Many

Nimmo, Francis

55

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

56

Home Automation System; Automation i hemmet.  

E-Print Network (OSTI)

?? This project revolves around creating a home automation system prototype with the main focus being the ability to lock/unlock a door through the internet. (more)

Ruwaida,, Bassam

2013-01-01T23:59:59.000Z

57

Design, Simulation, and Analysis of Substation Automation Networks  

E-Print Network (OSTI)

on the Substation Automation Systems (SAS). Substations are nodes in the smart grid infrastructure that help the in transportation of power by connecting the transmission and distribution lines. The SAS applications are con figured to operate with minimal human...

Kembanur Natarajan, Elangovan

2012-07-16T23:59:59.000Z

58

Automation of organic elemental analysis  

Science Journals Connector (OSTI)

Automation of organic elemental analysis ... Describes the development and design of an apparatus for automated organic elemental analysis. ...

Velmer B. Fish

1969-01-01T23:59:59.000Z

59

Automation in biological crystallization  

Science Journals Connector (OSTI)

Automation is the response to overcoming the crystallization bottleneck in biological crystallography. This review provides a summary of the current methods and technologies applied in automated platforms for the setup of initial and follow-up crystallization experiments.

Shaw Stewart, P.

2014-05-28T23:59:59.000Z

60

Digital Control for Automation  

Science Journals Connector (OSTI)

GREATER YIELDS OF BETTER QUALITY PRODUCTS at reduced costs: That's one way to look at automations goal. And among instruments for automation are data reduction systems (others: continuous process analyzers, computer elements, and control mechanisms). ...

1956-04-02T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

AUTOMATION: Hints from OCAW  

Science Journals Connector (OSTI)

AUTOMATION: Hints from OCAW ... Labor and management need more, not less, collective bargaining in automated industries, he told a Houston, Tex., meeting of the Petro Group of the South Texas Section of the American Institute of Chemical Engineers. ...

1969-06-30T23:59:59.000Z

62

Theorie des langages Automates finis  

E-Print Network (OSTI)

Th´eorie des langages Automates finis Elise Bonzon http://web.mi.parisdescartes.fr/ bonzon/ elise.bonzon@parisdescartes.fr 1 / 51 Th´eorie des langages #12;Automates finis Automates finis Introduction Formalisation Repr´erations sur les automates Automates finis et langages 2 / 51 Th´eorie des langages #12;Automates finis

Bonzon, Elise

63

Multiplex automated genome engineering  

DOE Patents (OSTI)

The present invention relates to automated methods of introducing multiple nucleic acid sequences into one or more target cells.

Church, George M; Wang, Harris H; Isaacs, Farren J

2013-10-29T23:59:59.000Z

64

Congress Likes Automation  

Science Journals Connector (OSTI)

Congress Likes Automation ... Industry is generally aware of its responsibilities to worker replaced by automation, Congressional group concludes after broad study ... No NEW LEGISLATION or legislative changes are required to keep pace with the impact of automation on the national economy, concludes Rep. Wright Patman (D.-Tex.). ...

1955-11-07T23:59:59.000Z

65

Transportation Decision Support Systems Oak Ridge National Laboratory  

E-Print Network (OSTI)

Transportation Decision Support Systems Oak Ridge National Laboratory managed by UT-Battelle, LLC Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle and implementation of automated transportation decision support models for the scheduling and routing of cargo

66

Joint Genome Institute's Automation Approach and History  

E-Print Network (OSTI)

Joint Genome Institutes Automation Approach and Historythroughput environment; automation does not necessarilyissues Islands of Automation modular instruments with

Roberts, Simon

2006-01-01T23:59:59.000Z

67

Process Development Automation:? An Evolutionary Approach  

Science Journals Connector (OSTI)

Process Development Automation:? An Evolutionary Approach ... In contrast, standard laboratory equipment already contains some automated capabilities but is normally unused in our automation strategies. ... What Can Be Automated? ...

Mike Pollard

2001-04-27T23:59:59.000Z

68

TOTAL Full-TOTAL Full-  

E-Print Network (OSTI)

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

Portman, Douglas

69

Automated Store Management For Drum Storage Facility  

SciTech Connect

This paper describes advanced system technology developed for a new Drum Storage Facility to be operated by Taiwan Power Company (TPC). A logistics management concept is applied for the storage of solid rad-wastes in terms of automated handling, transportation and storing as well as in terms of data management. The individual equipments, such as automated Bridge Cranes, Automatic Guided Vehicles and auxiliary systems are introduced in this paper and the store management process is outlined. The authors report furthermore on challenges during the design and engineering phase and review the project implementation from the equipment supplier's end. (authors)

Koller, W.; Lang, R. [Siempelkamp Nukleartechnik GmbH, Krefeld (Germany)

2008-07-01T23:59:59.000Z

70

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

71

An Automation System for Optimizing a Supply Chain Network Design under the Influence of Demand Uncertainty  

E-Print Network (OSTI)

Automation . . . . . . . . . . . . . . . . . . . . . . iii 3Automation . . . . . . . . . . . . . . . . . . . . . . 5Dashboard/Cockpit Automation . . . . . . . . . . . . .

Polany, Rany

2012-01-01T23:59:59.000Z

72

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.

73

CIMplementation: Evaluating Manufacturing Automation  

E-Print Network (OSTI)

in the manufacturing organization if CIMplementation~* is to succeed. 1.0 INTRODUCTION There is much discussion today about Com puter Integrated Manufacturing (CIM). Automation tools like Computer Aided Design (CAD) systems, robots, automated material handling...~ Pressing the frontier of technology in one's own manufactur ing facility will not be without its pitfalls. Second, while automation engineers may be able to piece together the technological pieces of a CIM system, they cannot and do not evaluate...

Krakauer, J.

74

IPv6 Home Automation.  

E-Print Network (OSTI)

?? Home automation is the systematic controlling and monitoring of everyday home devices such as lighting, heating, window blinds and appliances (both white goods and (more)

Hdn, Thor

2009-01-01T23:59:59.000Z

75

Home Automation Using Elvin.  

E-Print Network (OSTI)

?? Home automation systems of today tend to be external solutions to an existing product that enable rather complex and expensive communications equipment to be (more)

Malm, Anders

2005-01-01T23:59:59.000Z

76

Vehicle highway automation.  

E-Print Network (OSTI)

??Vehicle Highway Automation has been studied for several years but a practical system has not been possible because of technology limitations. New advances in sensing (more)

Challa, Dinesh Kumar

2009-01-01T23:59:59.000Z

77

Design and Construction of an Automated Community Bicycle Loan/  

E-Print Network (OSTI)

Design and Construction of an Automated Community Bicycle Loan/ Return System Richard Lopez $20 Box $50 Solar Power Panels $50 CPU $200 Total Per Unit $432 #12;Conclusion and Future · Lessons

Goadrich, Mark

78

Laboratory automation-A case history  

Science Journals Connector (OSTI)

Laboratory automation-A case history ... This article describes an automated Raman spectrometer. ...

Bernard J. Bulkin; Edward H. Cole; Arthur Noguerola

1974-01-01T23:59:59.000Z

79

Convection automated logic oven control  

SciTech Connect

For the past few years, there has been a greater push to bring more automation to the cooling process. There have been attempts at automated cooking using a wide range of sensors and procedures, but with limited success. The authors have the answer to the automated cooking process; this patented technology is called Convection AutoLogic (CAL). The beauty of the technology is that it requires no extra hardware for the existing oven system. They use the existing temperature probe, whether it is an RTD, thermocouple, or thermistor. This means that the manufacturer does not have to be burdened with extra costs associated with automated cooking in comparison to standard ovens. The only change to the oven is the program in the central processing unit (CPU) on the board. As for its operation, when the user places the food into the oven, he or she is required to select a category (e.g., beef, poultry, or casseroles) and then simply press the start button. The CAL program then begins its cooking program. It first looks at the ambient oven temperature to see if it is a cold, warm, or hot start. CAL stores this data and then begins to look at the food`s thermal footprint. After CAL has properly detected this thermal footprint, it can calculate the time and temperature at which the food needs to be cooked. CAL then sets up these factors for the cooking stage of the program and, when the food has finished cooking, the oven is turned off automatically. The total time for this entire process is the same as the standard cooking time the user would normally set. The CAL program can also compensate for varying line voltages and detect when the oven door is opened. With all of these varying factors being monitored, CAL can produce a perfectly cooked item with minimal user input.

Boyer, M.A.; Eke, K.I. [Apollo U.S.A. Inc., Orlando, FL (United States)] [Apollo U.S.A. Inc., Orlando, FL (United States)

1998-03-01T23:59:59.000Z

80

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

Fully-Automated Demand Response Test in Large Facilities14in DR systems. Demand Response using HVAC in Commercialof Fully Automated Demand Response in Large Facilities

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

Autonomic Product Development Process Automation.  

E-Print Network (OSTI)

??Market globalization and mass customization requirements are forcing companies towards automation of their product development processes. Many task-specific software solutions provide localized automation. Coordinating these (more)

Daley, John E.

2007-01-01T23:59:59.000Z

82

Automation Creates New Managers  

Science Journals Connector (OSTI)

AUTOMATION will bring about new and broader patterns in the use of labor and creation of a large group of managers of a new type, says E. W. Engstrom, senior executive vice president of the Radio Corporation of America. With automation, there will no ...

1955-12-12T23:59:59.000Z

83

Cognitive Engineering Automation and Human  

E-Print Network (OSTI)

· Home automation · Robotics · Unmanned vehicles (UAVs and UGVs) · Drug design/Molecular geneticsCognitive Engineering PSYC 530 Automation and Human Performance Raja Parasuraman #12;Overview Automation-Related Accidents Levels and Stages of Automation Information Acquisition and Analysis Decision

Parasuraman, Raja

84

Automation of Feynman Diagram Evaluation  

E-Print Network (OSTI)

A C-program DIANA (DIagram ANAlyser) for the automation of Feynman diagram evaluations is presented.

M. Tentyukov; J. Fleischer

1998-02-04T23:59:59.000Z

85

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

86

Shielded cells transfer automation  

SciTech Connect

Nuclear waste from shielded cells is removed, packaged, and transferred manually in many nuclear facilities. Radiation exposure is absorbed by operators during these operations and limited only through procedural controls. Technological advances in automation using robotics have allowed a production waste removal operation to be automated to reduce radiation exposure. The robotic system bags waste containers out of glove box and transfers them to a shielded container. Operators control the system outside the system work area via television cameras. 9 figures.

Fisher, J J

1984-01-01T23:59:59.000Z

87

Automated Lattice Perturbation Theory  

SciTech Connect

I review recent developments in automated lattice perturbation theory. Starting with an overview of lattice perturbation theory, I focus on the three automation packages currently "on the market": HiPPy/HPsrc, Pastor and PhySyCAl. I highlight some recent applications of these methods, particularly in B physics. In the final section I briefly discuss the related, but distinct, approach of numerical stochastic perturbation theory.

Monahan, Christopher

2014-11-01T23:59:59.000Z

88

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

potential role of home automation networks in implementinghow existing and future home automation systems may providehome networks" and "home automation" are frequently used

McParland, Charles

2010-01-01T23:59:59.000Z

89

Development of Building Automation and Control Systems  

E-Print Network (OSTI)

A design flow for building automation and control systems,Development of Building Automation and Control Systems Yangdesign of the build- ing automation system (including the

Yang, Yang; Zhu, Qi; Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

90

State Residential Commercial Industrial Transportation Total  

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

6,203,726 6,203,726 842,773 34,164 5 7,080,668 Connecticut 1,454,651 150,435 4,647 2 1,609,735 Maine 703,770 89,048 2,780 0 795,598 Massachusetts 2,699,141 389,272 21,145 2 3,109,560 New Hampshire 601,697 104,978 3,444 0 710,119 Rhode Island 435,448 57,824 1,927 1 495,200 Vermont 309,019 51,216 221 0 360,456 Middle Atlantic 15,727,423 2,215,961 45,836 26 17,989,246 New Jersey 3,455,302 489,943 12,729 6 3,957,980 New York 7,010,740 1,038,268 8,144 6 8,057,158 Pennsylvania 5,261,381 687,750 24,963 14 5,974,108 East North Central 19,583,335 2,410,841 61,815 7 22,055,998 Illinois 5,098,647 590,142 6,042 3 5,694,834 Indiana 2,755,595 344,453 18,525 1 3,118,574 Michigan 4,250,620 521,091 13,074 1 4,784,786 Ohio 4,869,305 613,259 19,602 2 5,502,168 Wisconsin 2,609,168 341,896 4,572 0 2,955,636 West North Central 9,096,181 1,375,967 113,836 2 10,585,986 Iowa 1,334,596

91

State Residential Commercial Industrial Transportation Total  

Annual Energy Outlook 2012 (EIA)

47,208 44,864 27,818 566 120,456 Connecticut 12,758 12,976 3,566 193 29,492 Maine 4,481 4,053 3,027 0 11,561 Massachusetts 20,313 17,723 16,927 350 55,313 New Hampshire 4,439 4,478...

92

State Residential Commercial Industrial Transportation Total  

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

7,418,025 7,418,025 6,137,400 3,292,222 37,797 16,885,445 Connecticut 2,212,594 1,901,294 451,910 18,680 4,584,478 Maine 656,822 467,228 241,624 0 1,365,674 Massachusetts 3,029,292 2,453,106 2,127,180 17,162 7,626,740 New Hampshire 713,388 598,371 231,041 0 1,542,800 Rhode Island 449,604 431,952 98,597 1,956 982,109 Vermont 356,325 285,449 141,870 0 783,644 Middle Atlantic 20,195,110 20,394,745 5,206,284 488,944 46,285,082 New Jersey 4,523,770 4,898,822 816,326 28,067 10,266,984 New York 8,929,713 11,445,525 917,700 390,271 21,683,209 Pennsylvania 6,741,627 4,050,398 3,472,258 70,607 14,334,889 East North Central 22,729,904 17,336,145 13,164,140 38,855 53,269,044 Illinois 5,335,088 4,058,476 2,625,085 33,992 12,052,640 Indiana 3,469,890 2,195,779 3,053,069 1,940 8,720,678 Michigan 4,871,034 4,211,356 2,427,143 556 11,510,089 Ohio 6,148,489

93

Java Automation Controller and Real-Time Systems  

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

Java Automation Controller and Real-Time Systems Java Automation Controller and Real-Time Systems Speaker(s): Greg Bollella Date: June 29, 2009 - 12:00pm Location: 90-3122 Java has always been a disruptive technology and now it is breaking the mold in industrial, process, building, and transportation automation systems. For many years, programmable logic controllers (PLCs), the digital versions of old relay-based control systems (such as that used in the NYC Subway system in the late 1800s) have primarily controlled these systems. PLCs are the workhorses of the controls industry but the market is characterized by proprietary, closed, expensive, special-purpose solutions. A Java-based automation controller breaks the mold by allowing control algorithms, which require strict real-time capabilities, to run on

94

Honeywell Demonstrates Automated Demand Response Benefits for...  

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

Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers Honeywell Demonstrates Automated Demand Response Benefits for Utility,...

95

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS  

E-Print Network (OSTI)

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS: 2006 PROGRAM DESCRIPTION AND RESULTS APPENDICES.................................................................................... 5 B.2. DR Automation Server User Guide

96

Development of Building Automation and Control Systems  

E-Print Network (OSTI)

Johnson Controls, 70 in Automated Logic EIKON language, 42systems developed by Automated Logic. Similarly as shown in

Yang, Yang; Zhu, Qi; Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

97

HIGHLY AUTOMATED MACROMOLECULAR  

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

AUTOMATED MACROMOLECULAR AUTOMATED MACROMOLECULAR CRYSTALLOGRAPHY BEAMLINE (AMX) Group Leader: Dieter Schneider Proposal Team: M. Allaire 1 , L. Berman 1 , M. Chance 2 , W. Hendrickson 3 , A. Héroux 1 , J. Jakoncic 1 , A. Orville 1 , H. Robinson 1 , D. Schneider 1 , W. Shi 2 , A. Soares 1 , V. Stojanoff 1 , R. Sweet 1 1 Brookhaven National Laboratory, 2 Case Western Reserve University, 3 Columbia University MISSION APPLICATIONS AND CAPABILITIES ADDITIONAL INFORMATION * AMX at NSLS-II will provide structural biologists with ready access to an advanced macromolecular crystallography (MX) beamline for the elucidation of structure and function of macromolecular complexes. * Its high flux, tunable energy, and natively small focal spot will make it a crystallographer's preferred beamline. * Its high degree of automation will provide a high throughput

98

Automation Status | Department of Energy  

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

Automation Status Automation Status Presented at the NREL Hydrogen and Fuel Cell Manufacturing R&D Workshop in Washington, DC, August 11-12, 2011. mfg2011plenarysperrick.pdf More...

99

Automation on the laboratory bench  

Science Journals Connector (OSTI)

Automation on the laboratory bench ... In designing an automation kit the authors attempted to give chemistry a system which is versatile and easy to apply in taking over the boring and difficult task of controlling parameters manually. ...

M. Legrand; A. Foucard

1978-01-01T23:59:59.000Z

100

Automation: Congress' Next Probe  

Science Journals Connector (OSTI)

THE stage is being set for a Congressional investigation of the trend toward automation in industry. From all indications, this could become one of the hottest subjects in labor-management relations during the coming year.Formal hearings have been ...

1955-08-29T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response  

E-Print Network (OSTI)

ProtocolforBuildingAutomationandControl Networks. ProtocolforBuildingAutomationandControl Networks,DemandResponseAutomationServer DemandResponseResearch

Kiliccote, Sila

2011-01-01T23:59:59.000Z

102

Automating Shallow Seismic Imaging  

SciTech Connect

This seven-year, shallow-seismic reflection research project had the aim of improving geophysical imaging of possible contaminant flow paths. Thousands of chemically contaminated sites exist in the United States, including at least 3,700 at Department of Energy (DOE) facilities. Imaging technologies such as shallow seismic reflection (SSR) and ground-penetrating radar (GPR) sometimes are capable of identifying geologic conditions that might indicate preferential contaminant-flow paths. Historically, SSR has been used very little at depths shallower than 30 m, and even more rarely at depths of 10 m or less. Conversely, GPR is rarely useful at depths greater than 10 m, especially in areas where clay or other electrically conductive materials are present near the surface. Efforts to image the cone of depression around a pumping well using seismic methods were only partially successful (for complete references of all research results, see the full Final Technical Report, DOE/ER/14826-F), but peripheral results included development of SSR methods for depths shallower than one meter, a depth range that had not been achieved before. Imaging at such shallow depths, however, requires geophone intervals of the order of 10 cm or less, which makes such surveys very expensive in terms of human time and effort. We also showed that SSR and GPR could be used in a complementary fashion to image the same volume of earth at very shallow depths. The primary research focus of the second three-year period of funding was to develop and demonstrate an automated method of conducting two-dimensional (2D) shallow-seismic surveys with the goal of saving time, effort, and money. Tests involving the second generation of the hydraulic geophone-planting device dubbed the ''Autojuggie'' showed that large numbers of geophones can be placed quickly and automatically and can acquire high-quality data, although not under rough topographic conditions. In some easy-access environments, this device could make SSR surveying considerably more efficient and less expensive, particularly when geophone intervals of 25 cm or less are required. The most recent research analyzed the difference in seismic response of the geophones with variable geophone spike length and geophones attached to various steel media. Experiments investigated the azimuthal dependence of the quality of data relative to the orientation of the rigidly attached geophones. Other experiments designed to test the hypothesis that the data are being amplified in much the same way that an organ pipe amplifies sound have so far proved inconclusive. Taken together, the positive results show that SSR imaging within a few meters of the earth's surface is possible if the geology is suitable, that SSR imaging can complement GPR imaging, and that SSR imaging could be made significantly more cost effective, at least in areas where the topography and the geology are favorable. Increased knowledge of the Earth's shallow subsurface through non-intrusive techniques is of potential benefit to management of DOE facilities. Among the most significant problems facing hydrologists today is the delineation of preferential permeability paths in sufficient detail to make a quantitative analysis possible. Aquifer systems dominated by fracture flow have a reputation of being particularly difficult to characterize and model. At chemically contaminated sites, including U.S. Department of Energy (DOE) facilities and others at Department of Defense (DOD) installations worldwide, establishing the spatial extent of the contamination, along with the fate of the contaminants and their transport-flow directions, is essential to the development of effective cleanup strategies. Detailed characterization of the shallow subsurface is important not only in environmental, groundwater, and geotechnical engineering applications, but also in neotectonics, mining geology, and the analysis of petroleum reservoir analogs. Near-surface seismology is in the vanguard of non-intrusive approaches to increase knowledge of the shallow subsurface; our

Steeples, Don W.

2004-12-09T23:59:59.000Z

103

Automated gas chromatography  

DOE Patents (OSTI)

An apparatus and process for the continuous, near real-time monitoring of low-level concentrations of organic compounds in a liquid, and, more particularly, a water stream. A small liquid volume of flow from a liquid process stream containing organic compounds is diverted by an automated process to a heated vaporization capillary where the liquid volume is vaporized to a gas that flows to an automated gas chromatograph separation column to chromatographically separate the organic compounds. Organic compounds are detected and the information transmitted to a control system for use in process control. Concentrations of organic compounds less than one part per million are detected in less than one minute. 7 figs.

Mowry, C.D.; Blair, D.S.; Rodacy, P.J.; Reber, S.D.

1999-07-13T23:59:59.000Z

104

Automated Job Hazards Analysis  

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

AJHA Program - The Automated Job Hazard Analysis (AJHA) computer program is part of an enhanced work planning process employed at the Department of Energy's Hanford worksite. The AJHA system is routinely used to performed evaluations for medium and high risk work, and in the development of corrective maintenance work packages at the site. The tool is designed to ensure that workers are fully involved in identifying the hazards, requirements, and controls associated with tasks.

105

TJ Automation | Open Energy Information  

Open Energy Info (EERE)

TJ Automation TJ Automation Jump to: navigation, search Name TJ Automation Facility TJ Automation Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner TJ Automation Energy Purchaser TJ Automation Location Archbold OH Coordinates 41.45823855°, -84.30666804° 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":41.45823855,"lon":-84.30666804,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

106

Report blasts Patent Office automation  

Science Journals Connector (OSTI)

Report blasts Patent Office automation ... The Department of Commerce is moving quickly to implement a report highly critical of the Patent & Trademark Office's efforts to fully automate its patent search and retrieval operations. ... An Industry Review Panel found that the current automated patent system is over-designed and as a result needs a redundant communications network and redundant storage of all patent images at high resolution. ...

JANICE LONG

1988-05-30T23:59:59.000Z

107

Virtual Machine in Automation Projects.  

E-Print Network (OSTI)

?? Virtual machine, as an engineering tool, has recently been introduced into automation projects in Tetra Pak Processing System AB. The goal of this paper (more)

Xing, Xiaoyuan

2010-01-01T23:59:59.000Z

108

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

SciTech Connect

Wastewater treatment is an energy intensive process which, together with water treatment, comprises about three percent of U.S. annual energy use. Yet, since wastewater treatment facilities are often peripheral to major electricity-using industries, they are frequently an overlooked area for automated demand response opportunities. Demand response is a set of actions taken to reduce electric loads when contingencies, such as emergencies or congestion, occur that threaten supply-demand balance, and/or market conditions occur that raise electric supply costs. Demand response programs are designed to improve the reliability of the electric grid and to lower the use of electricity during peak times to reduce the total system costs. Open automated demand response is a set of continuous, open communication signals and systems provided over the Internet to allow facilities to automate their demand response activities without the need for manual actions. Automated demand response strategies can be implemented as an enhanced use of upgraded equipment and facility control strategies installed as energy efficiency measures. Conversely, installation of controls to support automated demand response may result in improved energy efficiency through real-time access to operational data. This paper argues that the implementation of energy efficiency opportunities in wastewater treatment facilities creates a base for achieving successful demand reductions. This paper characterizes energy use and the state of demand response readiness in wastewater treatment facilities and outlines automated demand response opportunities.

Thompson, Lisa; Song, Katherine; Lekov, Alex; McKane, Aimee

2008-11-19T23:59:59.000Z

109

Conceptual design of an aircraft automated coating removal system  

SciTech Connect

Paint stripping of the U.S. Air Force`s large transport aircrafts is currently a labor-intensive, manual process. Significant reductions in costs, personnel and turnaround time can be accomplished by the judicious use of automation in some process tasks. This paper presents the conceptual design of a coating removal systems for the tail surfaces of the C-5 plane. Emphasis is placed on the technology selection to optimize human-automation synergy with respect to overall costs, throughput, quality, safety, and reliability. Trade- offs between field-proven vs. research-requiring technologies, and between expected gain vs. cost and complexity, have led to a conceptual design which is semi-autonomous (relying on the human for task specification and disturbance handling) yet incorporates sensor- based automation (for sweep path generation and tracking, surface following, stripping quality control and tape/breach handling).

Baker, J.E.; Draper, J.V.; Pin, F.G.; Primm, A.H.; Shekhar, S.

1996-05-01T23:59:59.000Z

110

AUTOMATED ~.JELDING -RESEARCH NEEDS T. H. Eagar  

E-Print Network (OSTI)

) ) ..... . '. AUTOMATED ~.JELDING - RESEARCH NEEDS T. H. Eagar Department of Naterials Science and Engineering Nassachusetts Institute of Technology Cambridge, Hassachusetts 02139 Increased use of automated is necessary in order to develop reliable automated welding techniques. #12;Introduction During the past decade

Eagar, Thomas W.

111

Automation improves personal effectiveness while reducing drudgery  

Science Journals Connector (OSTI)

Automation improves personal effectiveness while reducing drudgery ... "The term automation ," says one Department of Labor official with undisguised feeling, "is a hopeless semantic jungle." ... One industry man defines automation very loosely as any way of doing things better with machines. ...

1966-03-14T23:59:59.000Z

112

Building the case for automated building energy management  

Science Journals Connector (OSTI)

Energy consumption in buildings comprises a significant fraction of total worldwide energy consumption and is strongly influenced by occupant behavior. To explore the quantitative effect of particular occupant actions on building energy consumption, ... Keywords: building automation, energy saving behaviors, in-home display

Alan Marchiori; Qi Han; William C. Navidi; Lieko Earle

2012-11-01T23:59:59.000Z

113

Identifying novel drug indications through automated reasoning Authors and Affiliations  

E-Print Network (OSTI)

of these drugs have potential anti-cancer activities based on information on their targets and molecular discovery, text mining, automated reasoning Abstract Background With the large amount of pharmacological interaction types alone. A total of 507 drugs were found to have the potential to be used for cancer

Baral, Chitta

114

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

Facility Technician) Automated Logic Corporation: Ivanembedded in the Targets Automated Logic Corporation (ALC)

Kiliccote, Sila

2010-01-01T23:59:59.000Z

115

Automated fiber pigtailing machine  

DOE Patents (OSTI)

The Automated Fiber Pigtailing Machine (AFPM) aligns and attaches optical fibers to optoelectronic (OE) devices such as laser diodes, photodiodes, and waveguide devices without operator intervention. The so-called pigtailing process is completed with sub-micron accuracies in less than 3 minutes. The AFPM operates unattended for one hour, is modular in design and is compatible with a mass production manufacturing environment. This machine can be used to build components which are used in military aircraft navigation systems, computer systems, communications systems and in the construction of diagnostics and experimental systems. 26 figs.

Strand, O.T.; Lowry, M.E.

1999-01-05T23:59:59.000Z

116

Chapter 11 - Industrial Automation  

Science Journals Connector (OSTI)

The industrial systems of the future are complex systems composed of vast numbers of devices interacting with each other and with enterprise systems. Modern technologies such as web services, service-oriented architectures (SOAs), the cloud, etc. make it possible for sophisticated infrastructures to emerge in future factories. We take a closer look at key visionary aspects that are expected to be introduced in the industrial automation domain in the years to come, and the pivotal role of M2M and IoT. Additionally, we investigate the impact on the collaboration of machines among themselves and with enterprise systems and their services.

Jan Hller; Vlasios Tsiatsis; Catherine Mulligan; Stamatis Karnouskos; Stefan Avesand; David Boyle

2014-01-01T23:59:59.000Z

117

Automating dipole subtraction  

E-Print Network (OSTI)

We report on automating the Catani-Seymour dipole subtraction which is a general procedure to treat infrared divergences in real emission processes at next-to-leading order in QCD. The automatization rests on three essential steps: the creation of the dipole terms, the calculation of the color linked squared Born matrix elements, and the evaluation of different helicity amplitudes. The routines have been tested for a number of complex processes, such as the real emission process gg --> t anti-t ggg.

K. Hasegawa; S. Moch; P. Uwer

2008-07-23T23:59:59.000Z

119

Installation and Commissioning Automated Demand Response Systems  

E-Print Network (OSTI)

their partnership in demand response automation research andand Techniques for Demand Response. LBNL Report 59975. Mayof Fully Automated Demand Response in Large Facilities.

Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

2008-01-01T23:59:59.000Z

120

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

and Automating Demand Response Charles McParland, Lawrenceand Automating Demand Response Charles McParland, LBNLCommercial and Residential Demand Response Overview of the

McParland, Charles

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

Automation in X-Ray Crystallography  

Science Journals Connector (OSTI)

Automation in X-Ray Crystallography ... But in the past few years, automation procedures have been applied to intrinsically superior experimental methods. ...

S.C. ABRAHAMS

1963-06-03T23:59:59.000Z

122

Understanding roi metrics for software test automation.  

E-Print Network (OSTI)

??Software test automation is widely accepted as an efficient software testing technique. However, automation has failed to deliver the expected productivity more often than not. (more)

Jayachandran, Naveen

2005-01-01T23:59:59.000Z

123

Towards Total Traffic Awareness  

Science Journals Connector (OSTI)

A combination of factors render the transportation sector a highly desirable area for data management research. The transportation sector receives substantial investments and is of high societal interest across the globe. Since there is limited room ...

Chenjuan Guo, Christian S. Jensen, Bin Yang

2014-12-01T23:59:59.000Z

124

Transportation Demand This  

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

Transportation Demand Transportation Demand This page inTenTionally lefT blank 75 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight

125

Honeywell modular automation system acceptance test report  

SciTech Connect

This document provides the results of the Acceptance Test Procedure for the Honeywell Modular Automation System.

Cunningham, L.T., Westinghouse Hanford

1996-06-14T23:59:59.000Z

126

Automated Morphology Analysis of Nanoparticles  

E-Print Network (OSTI)

of this dissertation is to develop automated morphology analysis methods. Morphology analysis is comprised of three tasks: separate individual particles from an agglomerate of overlapping nano-objects (image segmentation); infer the particle's missing contours (shape...

Park, Chiwoo

2012-10-19T23:59:59.000Z

127

Aspects of automation mode confusion  

E-Print Network (OSTI)

Complex systems such as commercial aircraft are difficult for operators to manage. Designers, intending to simplify the interface between the operator and the system, have introduced automation to assist the operator. In ...

Wheeler, Paul H. (Paul Harrison)

2007-01-01T23:59:59.000Z

128

Technology modernization assessment flexible automation  

SciTech Connect

The objectives of this report are: to present technology assessment guidelines to be considered in conjunction with defense regulations before an automation project is developed to give examples showing how assessment guidelines may be applied to a current project to present several potential areas where automation might be applied successfully in the depot system. Depots perform primarily repair and remanufacturing operations, with limited small batch manufacturing runs. While certain activities (such as Management Information Systems and warehousing) are directly applicable to either environment, the majority of applications will require combining existing and emerging technologies in different ways, with the special needs of depot remanufacturing environment. Industry generally enjoys the ability to make revisions to its product lines seasonally, followed by batch runs of thousands or more. Depot batch runs are in the tens, at best the hundreds, of parts with a potential for large variation in product mix; reconfiguration may be required on a week-to-week basis. This need for a higher degree of flexibility suggests a higher level of operator interaction, and, in turn, control systems that go beyond the state of the art for less flexible automation and industry in general. This report investigates the benefits and barriers to automation and concludes that, while significant benefits do exist for automation, depots must be prepared to carefully investigate the technical feasibility of each opportunity and the life-cycle costs associated with implementation. Implementation is suggested in two ways: (1) develop an implementation plan for automation technologies based on results of small demonstration automation projects; (2) use phased implementation for both these and later stage automation projects to allow major technical and administrative risk issues to be addressed. 10 refs., 2 figs., 2 tabs. (JF)

Bennett, D.W.; Boyd, D.R.; Hansen, N.H.; Hansen, M.A.; Yount, J.A.

1990-12-01T23:59:59.000Z

129

The 'Problem' with Automation: Inappropriate Feedback and Interaction, not 'Over-Automation'  

Science Journals Connector (OSTI)

12 April 1990 research-article The 'Problem' with Automation: Inappropriate Feedback and Interaction, not 'Over-Automation' D. A. Norman As automation increasingly takes its place in industry, especially high risk industry...

1990-01-01T23:59:59.000Z

130

Type of automation failure: the effects on trust and reliance in automation.  

E-Print Network (OSTI)

??Past automation research has focused primarily on machine-related factors (e.g., automation reliability) and human-related factors (e.g., accountability). Other machine-related factors such as type of automation (more)

Johnson, Jason D.

2004-01-01T23:59:59.000Z

131

Participation through Automation: Fully Automated Critical Peak Pricing in Commercial Buildings  

E-Print Network (OSTI)

Figure 2. Demand Response Automation Server and BuildingII system to notify the Automation Server of an up comingoccurs day-ahead). 2. The Automation Server posts two pieces

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

2006-01-01T23:59:59.000Z

132

Home Network Technologies and Automating Demand Response  

SciTech Connect

Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively sophisticated energy consumers, it has been possible to improve the DR 'state of the art' with a manageable commitment of technical resources on both the utility and consumer side. Although numerous C & I DR applications of a DRAS infrastructure are still in either prototype or early production phases, these early attempts at automating DR have been notably successful for both utilities and C & I customers. Several factors have strongly contributed to this success and will be discussed below. These successes have motivated utilities and regulators to look closely at how DR programs can be expanded to encompass the remaining (roughly) half of the state's energy load - the light commercial and, in numerical terms, the more important residential customer market. This survey examines technical issues facing the implementation of automated DR in the residential environment. In particular, we will look at the potential role of home automation networks in implementing wide-scale DR systems that communicate directly to individual residences.

McParland, Charles

2009-12-01T23:59:59.000Z

133

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

ofFullyAutomatedDemand ResponseinLargeFacilities. FullyAutomatedDemandResponseTestsinLargeFacilities. OpenAutomated DemandResponseCommunicationStandards:

Dudley, June Han

2009-01-01T23:59:59.000Z

134

Scenarios for Consuming Standardized Automated Demand Response Signals  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities.Fully Automated Demand Response Tests in Large Facilities.Interoperable Automated Demand Response Infrastructure.

Koch, Ed

2009-01-01T23:59:59.000Z

135

Automation World Features New White Paper on Wireless Security...  

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

Automation World Features New White Paper on Wireless Security Automation World Features New White Paper on Wireless Security The April 2009 issue of Automation World magazine...

136

Variations of Total Domination  

Science Journals Connector (OSTI)

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

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

137

Disciplined agility for process control & automation ; Disciplined agility for process control and automation .  

E-Print Network (OSTI)

??Process automation vendors must consider agility as a basis to gain a competitive edge in innovation. Process Automation systems can impact the operating cost of (more)

Tibazarwa, Augustine

2009-01-01T23:59:59.000Z

138

Trust in automated systems the effect of automation level on trust calibration .  

E-Print Network (OSTI)

??Automated systems perform functions that were previously executed by a human. When using automation, the role of the human changes from operator to supervisor. For (more)

Walliser, James C.

2011-01-01T23:59:59.000Z

139

Chapter 8 - Automation and Monitoring  

Science Journals Connector (OSTI)

This chapter begins with the topic of process automation which has the intent of making repetitive tasks more consistent, faster, and cheaper. As part of this discussion, we talk about how to determine if a process should be automated, how to document the process in preparation for automation, and how to perform the actual automation. A variety of scripting languages can be used to perform process automation and general best practices for scripting these processes is discussed as well as some thoughts on how to choose the right scripting language for the job. The second part of the chapter is all about monitoring of enterprise applications. Key performance indicators (KPIs) that give insight into the enterprise applications performance over time as well as determining when to alert the enterprise applications administrator to potential problems within the application are discussed. Alerts are another important topic associated with enterprise application monitoring that is discussed including how to properly tune alerts through the selection of appropriate KPIs, retry counts, and retry intervals.

Jeremy Faircloth

2014-01-01T23:59:59.000Z

140

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

E-Print Network (OSTI)

Interoperable Automated Demand Response Infrastructure,study of automated demand response in wastewater treatmentopportunities for demand response control strategies in

Thompson, Lisa

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

Automation in image cytometry : continuous HCS and kinetic image cytometry  

E-Print Network (OSTI)

OF CALIFORNIA, SAN DIEGO Automation in Image Cytometry:xiv Abstract of Dissertation Automation in Image Cytometry:

Charlot, David J.

2012-01-01T23:59:59.000Z

142

Automation of Fluorous Solid-Phase Extraction for Parallel Synthesis  

Science Journals Connector (OSTI)

Automation of Fluorous Solid-Phase Extraction for Parallel Synthesis ... Cartridge conditioning, sample loading, elution, and rinsing are automated. ...

Wei Zhang; Yimin Lu

2006-10-17T23:59:59.000Z

143

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

communications. Automated Logic Model Vendor LoadTypeoftheHVAC. Automated Logic Model Vendor LoadType

Dudley, June Han

2009-01-01T23:59:59.000Z

144

Total Space Heat-  

Annual Energy Outlook 2012 (EIA)

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

145

Process Control and Automation: The Bagrit Vision  

Science Journals Connector (OSTI)

Automation, broadly defined as the computer-assisted control of industrial processes, covers a wide spectrum of applications. Here we need to narrow the spectrum somewhat, so as to focus on the word automation as...

Emeritus Professor Simon Lavington

2011-01-01T23:59:59.000Z

146

Microcomputer Applications in Power System Substation Automation  

Science Journals Connector (OSTI)

The object of this chapter is to describe power system applications of microcomputers, particularly in the area of power substation automation.The major functions required in substation automation are reviewed an...

C. T. Nguyen; R. Grondin; A. St-Jacques

1983-01-01T23:59:59.000Z

147

Home Automation with ZigBee  

Science Journals Connector (OSTI)

This article discusses a topic of home automation, also called domotics, and provides an ... advantages provided by ZigBee wireless networking standard for home automation solutions. ZigBee protocol implementatio...

Maxim Osipov

2008-01-01T23:59:59.000Z

148

Disciplined agility for process control & automation  

E-Print Network (OSTI)

Process automation vendors must consider agility as a basis to gain a competitive edge in innovation. Process Automation systems can impact the operating cost of manufacturing equipment, the safe control of large quantities ...

Tibazarwa, Augustine

2009-01-01T23:59:59.000Z

149

Technical University of Denmark rsted DTU Automation  

E-Print Network (OSTI)

Technical University of Denmark ?rsted · DTU Automation Project: SICAM - SIngle Conversion stage based SICAM using an LC-network Petar Ljusev, MSc., Ph.D. student, ?rsted · DTU Automation e-mail: pl

150

Automated Operating Procedures for Transfer Limits  

E-Print Network (OSTI)

Automated Operating Procedures for Transfer Limits Final Project Report Power Systems Engineering · Illinois · Iowa State · Texas A&M · Washington State · Wisconsin Automated Operating Procedures

151

Automated Resoning in Modal Logics 0 (GENERAL PURPOSE) AUTOMATED REASONING IN MODAL LOGICS  

E-Print Network (OSTI)

Automated Resoning in Modal Logics 0 (GENERAL PURPOSE) AUTOMATED REASONING IN MODAL LOGICS BRANDEN FITELSON Department of Philosophy San Jos�e State University & Automated Reasoning Group.wisc.edu/fitelson BF @ AR @ MCS @ ANL & Philosophy @ SJSU May 16, 2002 Automated Resoning in Modal Logics 1

Fitelson, Branden

152

Automated Video-Based Fall Detection  

E-Print Network (OSTI)

home assistive monitoring uses technology such as sensors and cameras to aid live-alone aging persons, typically involving automation.

Edgcomb, Alex Daniel

2014-01-01T23:59:59.000Z

153

Technical Report TRARP1695 Automated Reasoning Project  

E-Print Network (OSTI)

Technical Report TR­ARP­16­95 Automated Reasoning Project Research School of Information Sciences Heuerding Automated Institute for Applied Mathematics Reasoning Project and Computer Science ANU University that contains automated proof procedures based on modal Gentzen systems for numerous propositional (nonclassical

Goré, Rajeev

154

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS  

E-Print Network (OSTI)

AUTOMATED CRITICAL PEAK PRICING FIELD TESTS: 2006 PROGRAM DESCRIPTION AND RESULTS) for development of the DR Automation Server System This project could not have been completed without extensive: Greg Watson and Mark Lott · C&C Building Automation: Mark Johnson and John Fiegel · Chabot Space

155

INTEGRATING AUTOMATION DESIGN INFORMATION WITH XML  

E-Print Network (OSTI)

INTEGRATING AUTOMATION DESIGN INFORMATION WITH XML Mika Viinikkala, Seppo Kuikka Institute of Automation and Control, Tampere University of Technology, P.O. Box 692, 33101 Tampere, Finland Email: mika.viinikkala@tut.fi, seppo.kuikka@tut.fi Keywords: Systems integration, XML, automation design Abstract: This paper presents

156

A DISTRIBUTED AUTOMATION SYSTEM FOR ELECTROPHYSICAL INSTALLATIONS  

E-Print Network (OSTI)

A DISTRIBUTED AUTOMATION SYSTEM FOR ELECTROPHYSICAL INSTALLATIONS V.R. Kozak Budker Institute There was designed a set of devices for automation systems of physical installations. On this basis approach. KEY WORDS Automation, systems, applications, CANBUS, embedded, controller. 1. Introduction Budker

Kozak, Victor R.

157

TAMPERE UNIVERSITY OF TECHNOLOGY DEPARTMENT OF AUTOMATION  

E-Print Network (OSTI)

TAMPERE UNIVERSITY OF TECHNOLOGY DEPARTMENT OF AUTOMATION An Intelligent Web Service for Operation 2004 Examiner: Prof. Seppo Kuikka #12;2 Abstract TAMPERE UNIVERSITY OF TECHNOLOGY Automation Degree Program Institute of Automation and Control Jaakkola, Veli-Pekka: An Intelligent Web Service for Operation

158

Evaluation of Transit Operations: Data Applications of Tri-Met's Automated Bus Dispatching System  

E-Print Network (OSTI)

Evaluation of Transit Operations: Data Applications of Tri-Met's Automated Bus Dispatching System Dispatch System Tri-Met's BDS was installed in 1997 and became fully operational in 1998. Its main features Transportation System (APTS) technology has been motivated by transit providers' desire to improve service

Bertini, Robert L.

159

Chapter 13 - Commercial Building Automation  

Science Journals Connector (OSTI)

A Building Automation System (BAS) is a computerized, intelligent system that controls and measures lighting, climate, security, and other mechanical and electrical systems in a building. The purpose of a BAS is typically to reduce energy and maintenance costs, as well as to increase control, comfort, reliability, and ease of use for maintenance staff and tenants.

Jan Hller; Vlasios Tsiatsis; Catherine Mulligan; Stamatis Karnouskos; Stefan Avesand; David Boyle

2014-01-01T23:59:59.000Z

160

Automated computation meets hot QCD  

E-Print Network (OSTI)

We give a short review on recent progress in the field of automated calculations in finite-temperature field theory, where integration-by-parts techniques have proven (almost) as useful as in the zero-temperature case. Furthermore, we provide one concrete example of an evaluation of a new three-loop master sum-integral that exhibits maximal divergence.

Ioan Ghisoiu; York Schroder

2012-10-19T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

ALMS: Automated logic mapping system  

Science Journals Connector (OSTI)

ALMS is a set of design automation computer programs which accepts as input a description of a logic design, specifications of modules (e.g., chips, cards, etc.) into which the blocks of the design are to be partitioned or mapped, and some constraints ...

R. L. Russo; P. K. Wolff, Sr.

1971-06-01T23:59:59.000Z

162

Rockwell Automation - Owens Corning Teaming Profile  

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

Rockwell Automation Owens Corning Rockwell Automation Owens Corning 1201 S. Second Street 247 York Road Milwaukee, WI 53204 Guelph, Ontario N1E 3G4 Business: Industrial Automation Business: Textile / Fiber Nigel Hitchings Frank Peel Marketing Manager Electrical Support Specialist Phone: 508-357-8404 Phone: 519-823-7208 Email: nehitchings@ra.rockwell.com Email: frank.peel@owenscorning.com Owens Corning partners with Rockwell Automation to retrofit fans with VFDs, saving $67,000 annually Project Scope Owens Corning and Rockwell Automation installed Variable Frequency Drives (VFDs) on one 125HP cooling fan and three 40HP recirculation fans at the Owens Corning Guelph Glass Plant. The VFDs were integrated with the existing Rockwell Automation programmable automation controller to collect

163

Transportation Services  

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

Transportation Services Transporting nuclear materials within the United States and throughout the world is a complicated and sometimes highly controversial effort requiring...

164

Local Transportation  

E-Print Network (OSTI)

Local Transportation. Transportation from the Airport to Hotel. There are two types of taxi companies that operate at the airport: special and regular taxis (

165

Table E6. Transportation Sector Energy Price Estimates, 2012  

Annual Energy Outlook 2012 (EIA)

E6. Transportation Sector Energy Price Estimates, 2012 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy Coal Natural Gas Petroleum Total Aviation...

166

Specimen coordinate automated measuring machine/fiducial automated measuring machine  

SciTech Connect

The Specimen coordinate Automated Measuring Machine (SCAMM) and the Fiducial Automated Measuring Machine (FAMM) is a computer controlled metrology system capable of measuring length, width, and thickness, and of locating fiducial marks. SCAMM and FAMM have many similarities in their designs, and they can be converted from one to the other without taking them out of the hot cell. Both have means for: supporting a plurality of samples and a standard; controlling the movement of the samples in the +/- X and Y directions; determining the coordinates of the sample; compensating for temperature effects; and verifying the accuracy of the measurements and repeating as necessary. SCAMM and FAMM are designed to be used in hot cells.

Hedglen, Robert E. (Bethel Park, PA); Jacket, Howard S. (Pittsburgh, PA); Schwartz, Allan I. (Turtle Creek, PA)

1991-01-01T23:59:59.000Z

167

Chamber transport  

SciTech Connect

Heavy ion beam transport through the containment chamber plays a crucial role in all heavy ion fusion (HIF) scenarios. Here, several parameters are used to characterize the operating space for HIF beams; transport modes are assessed in relation to evolving target/accelerator requirements; results of recent relevant experiments and simulations of HIF transport are summarized; and relevant instabilities are reviewed. All transport options still exist, including (1) vacuum ballistic transport, (2) neutralized ballistic transport, and (3) channel-like transport. Presently, the European HIF program favors vacuum ballistic transport, while the US HIF program favors neutralized ballistic transport with channel-like transport as an alternate approach. Further transport research is needed to clearly guide selection of the most attractive, integrated HIF system.

OLSON,CRAIG L.

2000-05-17T23:59:59.000Z

168

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

169

Automated Export Control.PDF  

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

3 3 I N S P E C T I O N R E P O R T U.S. DEPARTMENT OF ENERGY OFFICE OF INSPECTOR GENERAL OFFICE OF INSPECTIONS INSPECTION OF THE DEPARTMENT OF ENERGY'S AUTOMATED EXPORT CONTROL SYSTEM DECEMBER 2001 U.S. DEPARTMENT OF ENERGY Washington, DC 20585 December 7, 2001 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman /s/ Inspector General SUBJECT: INFORMATION: Report on "Inspection of the Department of Energy's Automated Export Control System" BACKGROUND The National Defense Authorization Act for Fiscal Year 2000 (NDAA for FY 2000) contained a provision that not later than March 30 of each year the President will submit to Congress, beginning in the year 2000 and ending in the year 2007, an annual report on the Government's policies and procedures with respect to the export of technologies and technical information with

170

Automated Demand Response and Commissioning  

SciTech Connect

This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-04-01T23:59:59.000Z

171

A Crew-Centered Flight Deck Design Philosophy for High-Speed Civil Transport (HSCT) Aircraft  

Science Journals Connector (OSTI)

Past flight deck design practices used within the U.S. commercial transport aircraft industry have been highly successful in producing safe and efficient aircraft. However, recent advances in automation have changed the way pilots operate aircraft, and ...

Palmer Michael T.; Rogers William H.; Press Hayes N.; Latorella Kara A.; Abbott Terence S.

1995-01-01T23:59:59.000Z

172

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

173

Total Precipitable Water  

SciTech Connect

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

None

2012-01-01T23:59:59.000Z

174

Total Sustainability Humber College  

E-Print Network (OSTI)

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

Thompson, Michael

175

Integration of automation design information using XML technologies  

E-Print Network (OSTI)

Integration of automation design information using XML technologies Master of Science Thesis Mika UNIVERSITY OF TECHNOLOGY DEPARTMENT OF AUTOMATION #12;2 Abstract TAMPERE UNIVERSITY OF TECHNOLOGY Automation Degree Program Institute of Automation and Control Viinikkala, Mika: Integration of automation design

176

Definition: Distribution Automation Communications Network | Open Energy  

Open Energy Info (EERE)

Automation Communications Network Automation Communications Network Jump to: navigation, search Dictionary.png Distribution Automation Communications Network A communications network or networks designed to deliver control signals and information between distribution automation devices, and between these devices and utility grid control systems. These networks can utilize wired or wireless connections, and can be utility-owned or provided as services by a third party.[1] Related Terms distribution automation References ↑ https://www.smartgrid.gov/category/technology/distribution_automation_communications_network [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionssmart grid,smart grid, |Template:BASEPAGENAME]]smart grid,smart grid, Retrieved from

177

Mobile home automation: merging mobile value added services and home automation technologies  

Science Journals Connector (OSTI)

In this paper we study mobile home automation, a field that emerges from an integration of mobile application platforms and home automation technologies. We motivate our research and provide ... options of how he...

Goetz Botterweck; J. Felix Hampe

2009-06-01T23:59:59.000Z

178

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

179

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

180

Total isomerization gains flexibility  

SciTech Connect

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

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

1983-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

Automated Surface Observing System: Standby Power Options  

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

Automated Automated Surface Observing System Standby Options Power Automated Surface Observing System (ASOS) General System Description * Self contained group of sensors and data gathering equipment that produces an automated weather observation * Weather observations support aviation, climate data, non government weather operations, public consumption, etc. * Initial deployment began in 1991 and continued through 1997 * Located at 884 sites nationwide, normally at airports * System has two distinct subsystems: Field installed equipment (DCP & Sensor Group) and an indoor processor (ACU) with peripherals * Separate facility power for DCP & Sensors and ACU 1 * measure and collect data * Located on the airport * back up group for 10 minutes * Currently pl

182

An Automated Raman Device for Gout Diagnosis  

Science Journals Connector (OSTI)

This study reports an automated Raman device to identify crystals in synovial aspirates from patients with gout symptoms. Combined with sample preparation, the device could diagnose...

Li, Bolan

183

Distributed Automated Demand Response - Energy Innovation Portal  

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

Transmission Find More Like This Return to Search Distributed Automated Demand Response Lawrence Livermore National Laboratory Contact LLNL About This Technology...

184

Substation automation gains momentum with modern options  

SciTech Connect

This paper discusses issues associated with utility substation automation. Monitoring equipment for monitoring power flow, quality, and harmonics for three substations simultaneously is described.

Beaty, W.

1996-12-01T23:59:59.000Z

185

Automated Logic Restructuring with aSPFDs  

Science Journals Connector (OSTI)

This chapter presents a comprehensive methodology to automate logic restructuring in combinational and sequential circuits. This technique algorithmically constructs the required transformation by utilizing a ...

Yu-Shen Yang; Subarna Sinha; Andreas Veneris

2011-01-01T23:59:59.000Z

186

Recommendation 207 : Automate the Stewardship Verification Process...  

Office of Environmental Management (EM)

recommends exploring ways to automate the stewardship tracking process and establish a web-based solution for managing long-term stewardship information for the Oak Ridge...

187

Chapter 38, Design Automation for Microelectronics, Springer Handbook of Automation Deming Chen  

E-Print Network (OSTI)

Chapter 38, Design Automation for Microelectronics, Springer Handbook of Automation Deming Chen of hardware and software systems in the past several decades. CAD techniques are the key driving forces behind techniques. In this chapter we will introduce the fundamentals of design automation as an engineering field

Chen, Deming

188

Automating Logical Preservation for Small Institutions with Hoppla  

E-Print Network (OSTI)

Automating Logical Preservation for Small Institutions with Hoppla Stephan Strodl, Petar Petrov and outsources digital preservation expertise. This paper presents the automated logical preservation process of automating logical preservation by outsourcing expertise. 1 Introduction Digital information form essential

189

(en transport pblic) Temps total del trajecte: 53 minuts  

E-Print Network (OSTI)

viatge Durada: 28 min. Cost mitjà del viatge1 : 5,57 Emissions addicionals (CO2): 6,23 Kg Emissions addicionals (SO2): 0,004 Kg Durada: 53min. Cost mitjà del viatge2 : 0,91 Emissions addicionals (CO2): 0 kg 1 any Temps acumulat3 : 6,84 dies Despesa per any3 : 1.959'94 Emissions addicionals (CO2): 2

Oro, Daniel

190

(en transport pblic) Temps total del trajecte: 67 minuts  

E-Print Network (OSTI)

viatge Durada: 42 min. Cost mitjà del viatge1 : 7,29 Emissions addicionals (CO2): 8,70 Kg Emissions addicionals (SO2): 0,005 Kg Durada: 67 min. Cost mitjà del viatge2 : 1,20 Emissions addicionals (CO2): 0 kg 1 any Temps acumulat3 : 10,27 dies Despesa per any3 : 2.566,08 Emissions addicionals (CO2): 3

Oro, Daniel

191

Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results  

E-Print Network (OSTI)

Target Hayward Software client Automated Logic TargetAntioch Automated Logic Target Bakersfield Software client

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

2007-01-01T23:59:59.000Z

192

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

193

Open Automated Demand Response Communications Specification (Version 1.0)  

E-Print Network (OSTI)

and Techniques for Demand Response. May 2007. LBNL-59975.tofacilitateautomating demandresponseactionsattheInteroperable Automated Demand Response Infrastructure,

Piette, Mary Ann

2009-01-01T23:59:59.000Z

194

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

Goodin. 2009. Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services. InOpen Automated Demand Response Demonstration Project. LBNL-

Ghatikar, Girish

2010-01-01T23:59:59.000Z

195

Home Automation : Smart home technology and template house design.  

E-Print Network (OSTI)

??In this thesis, home automations general knowledge, technology information and each component will be introduced to the reader in the first half of the whole (more)

Zheng, Zeya

2013-01-01T23:59:59.000Z

196

V-205: IBM Tivoli System Automation for Multiplatforms Java Multiple...  

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

5: IBM Tivoli System Automation for Multiplatforms Java Multiple Vulnerabilities V-205: IBM Tivoli System Automation for Multiplatforms Java Multiple Vulnerabilities July 29, 2013...

197

U-047: Siemens Automation License Manager Bugs Let Remote Users...  

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

7: Siemens Automation License Manager Bugs Let Remote Users Deny Service or Execute Arbitrary Code U-047: Siemens Automation License Manager Bugs Let Remote Users Deny Service or...

198

Appropriate automation of rail signalling systems: a human factors study.  

E-Print Network (OSTI)

??This thesis examines the effect of automation in the rail signalling environment. The level of automation in a system can be described as ranging along (more)

Balfe, Nora

2010-01-01T23:59:59.000Z

199

Automation of amperometric titrations with rotating platinum electrodes  

Science Journals Connector (OSTI)

Automation of amperometric titrations with rotating platinum electrodes ... A modification of an earlier described apparatus allows for the automation of amperometric titrations with rotating platinum electrodes. ...

Eugene D. Olsen; Roger D. Walton

1966-01-01T23:59:59.000Z

200

V-132: IBM Tivoli System Automation Application Manager Multiple...  

Energy Savers (EERE)

32: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities V-132: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities April 12, 2013 -...

Note: This page contains sample records for the topic "transportation total automated" 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

ISA Approves Standard for Wireless Automation in Process Control...  

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

ISA Approves Standard for Wireless Automation in Process Control Applications ISA Approves Standard for Wireless Automation in Process Control Applications On September 9, the...

202

Small- and Medium-Size Building Automation and Control System...  

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

Small- and Medium-Size Building Automation and Control System Needs: Scoping Study Small- and Medium-Size Building Automation and Control System Needs: Scoping Study Emerging...

203

Determination of Total Solids in Biomass and Total Dissolved...  

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

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

204

Demand Response and Open Automated Demand Response  

E-Print Network (OSTI)

LBNL-3047E Demand Response and Open Automated Demand Response Opportunities for Data Centers G described in this report was coordinated by the Demand Response Research Center and funded by the California. Demand Response and Open Automated Demand Response Opportunities for Data Centers. California Energy

205

Atlas Sodium Automated Batch Synthesis System  

E-Print Network (OSTI)

Atlas Sodium Automated Batch Synthesis System (Syrris) June 2013 #12;Introduction to the system · The Atlas Sodium system consists of an Atlas base equipped with a 400ºC hotplate, a stacking dry bath systemL) for automated addition and/or removal of solution. · The system is computer controlled by the Atlas software

Subramanian, Venkat

206

PeopleSoft HR ECR Automation Process  

E-Print Network (OSTI)

PeopleSoft HR ECR Automation Process Short Term Disability with Pay May 2011 #12;Processing a Short Term Disability with Pay ECR Search Page To process a Short Term Disability using the automated ECR process, follow the menu navigation below: Home > Employee Change Request (ECR) > Use > ECR Create

Huang, Jianyu

207

PeopleSoft HR ECR Automation Process  

E-Print Network (OSTI)

PeopleSoft HR ECR Automation Process Revise Existing SWB May 2011 #12;Processing a Short Work Break Date Revision ECR Search Page To process a Short Work Break Date revision using the automated ECR process, follow the menu navigation below: Home > Employee Change Request (ECR) > Use > ECR Create

Huang, Jianyu

208

PeopleSoft HR ECR Automation Process  

E-Print Network (OSTI)

PeopleSoft HR ECR Automation Process Employee Work Hours Change (Temporary Basis) May 2012 #12 Documentation May, 2012 When the Originator is ready to create an Hours Change Request using the automated ECR the instructions below: - Home > Employee Change Request (ECR) > Use > ECR Create · If you know the Name or Eagle

Huang, Jianyu

209

PeopleSoft HR ECR Automation Process  

E-Print Network (OSTI)

PeopleSoft HR ECR Automation Process Long Term Disability May 2011 #12;Processing a Long Term Disability LTD ECR Search Page To process an LTD transaction using the automated ECR process, follow the menu navigation below: Home > Employee Change Request (ECR) > Use > ECR Create 2 · If you know the Name or Eagle

Huang, Jianyu

210

PeopleSoft HR ECR Automation Process  

E-Print Network (OSTI)

PeopleSoft HR ECR Automation Process Leave of Absence May 2012 #12;2 Table of Contents Create the Originator is ready to create a Leave of Absence using the automated ECR process, he/she will follow the menu navigation below to access the employee search page and then use the instructions below: - Home > Employee

Huang, Jianyu

211

Technical University of Denmark rsted DTU Automation  

E-Print Network (OSTI)

Technical University of Denmark ?rsted · DTU Automation Project: SICAM - SIngle Conversion stage;Isolated PDM and PWM DC-AC SICAMs Petar Ljusev, MSc., Ph.D. student, ?rsted · DTU Automation e-mail: pl

212

D Riso-R-429 Automated Uranium  

E-Print Network (OSTI)

routinely used analytical techniques for uranium determina- tions in geological samples, fissionCM i D Riso-R-429 Automated Uranium Analysis by Delayed-Neutron Counting H. Kunzendorf, L. Løvborg AUTOMATED URANIUM ANALYSIS BY DELAYED-NEUTRON COUNTING H. Kunzendorf, L. Løvborg and E.M. Christiansen

213

Optimization of automation: I. Estimation method of cognitive automation rates reflecting the effects of automation on human operators in nuclear power plants  

Science Journals Connector (OSTI)

Abstract Since automation was introduced in various industrial fields, the concept of the automation rate has been used to indicate the inclusion proportion of automation among all work processes or facilities. Expressions of the inclusion proportion of automation are predictable, as is the ability to express the degree of the enhancement of human performance. However, many researchers have found that a high automation rate does not guarantee high performance. Therefore, to reflect the effects of automation on human performance, this paper proposes a new estimation method of the automation rate that considers the effects of automation on human operators in nuclear power plants (NPPs). Automation in \\{NPPs\\} can be divided into two types: system automation and cognitive automation. Some general descriptions and characteristics of each type of automation are provided, and the advantages of automation are investigated. The advantages of each type of automation are used as measures of the estimation method of the automation rate. One advantage was found to be a reduction in the number of tasks, and another was a reduction in human cognitive task loads. The system and the cognitive automation rate were proposed as quantitative measures by taking advantage of the aforementioned benefits. To quantify the required human cognitive task loads and thus suggest the cognitive automation rate, Conants information-theory-based model was applied. The validity of the suggested method, especially as regards the cognitive automation rate, was proven by conducting experiments. The result showed that a decreased rate of the operator working time was significantly related to the cognitive automation rate and that the calculation of the cognitive task load was useful as a measure of the cognitive automation rate.

Seung Min Lee; Jong Hyun Kim; Poong Hyun Seong

2014-01-01T23:59:59.000Z

214

Automation of hydroelectric power plants  

SciTech Connect

This paper describes how the author's company has been automating its hydroelectric generating plants. The early automations were achieved with a relay-type supervisory control system, relay logic, dc tachometer, and a pneumatic gate-position controller. While this system allowed the units to be started and stopped from a remote location, they were operated at an output that was preset by the pneumatic control at the generating site. The supervisory control system at the site provided such information as unit status, generator breaker status, and a binary coded decimal (BCD) value of the pond level. The generating units are started by energizing an on-site relay that sets the pneumatic gate controller to a preset value above the synchronous speed of the hydroelectric generator. The pneumatic controller then opens the water-wheel wicket gates to the preset startup position. As the hydroelectric generator starts to turn, the machine-mounted dc tachometer produces a voltage. At a dc voltage equivalent to synchronous speed, the generator main breaker closes, and a contact from the main breaker starts a field-delay timer. Within a few seconds, the field breaker closes. Once the cycle is complete, a relay changes the pneumatic setpoint to a preset operating point of about 8/10 wicket gate opening.

Grasser, H.S. (Consolidated Papers, Inc., Wisconsin Rapids, WI (US))

1990-03-01T23:59:59.000Z

215

Solar Automation Inc | Open Energy Information  

Open Energy Info (EERE)

Inc Inc Jump to: navigation, search Name Solar Automation Inc Place Albuquerque, New Mexico Zip NM 8110 Product Produces manufacturing equipment for PV cells. References Solar Automation Inc[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Solar Automation Inc is a company located in Albuquerque, New Mexico . References ↑ "Solar Automation Inc" Retrieved from "http://en.openei.org/w/index.php?title=Solar_Automation_Inc&oldid=351247" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services

216

Substation automation -- a ``bottoms up`` approach  

SciTech Connect

The proliferation of multi-purpose intelligent electronic devices in substations brought the availability of abundant and often overlapping data at the substation. This data can be used for improving the operation and maintenance of the substations and the entire power system. The objective of substation automation is to use technology to gather, consolidate and utilize this data for increasing the efficiency of power system operation and maintenance. Often automation functions are developed and offered around the capabilities of the preferred hardware and software of the integrator. Emphasis is placed on hardware, software and communication protocols rather than need, methodology and application. This can result in over-automation with complex, expensive and ineffective systems, or under-automation that fails to achieve the user`s objectives. The objective is to select appropriate hardware, software and methodology to build the most cost effective system to get the desired results. This paper describes steps to ensure the successful implementation of substation automation.

Thomas, J. [General Electric, Malvern, PA (United States)

1996-10-01T23:59:59.000Z

217

Dynamic Whitelist Generation for Automated Response  

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

Methodology Methodology Results Dynamic Whitelist Generation for Automated Response Chris Strasburg, Josh Adams Ames Laboratory, US DOE cstras@ameslab.gov, jadams@ameslab.gov The Ames Laboratory, US DOE 1 Dynamic Whitelist Generation for Automated Response Introduction Methodology Results Outline 1 Introduction About Ames Laboratory Motivation 2 Methodology Data Classifiers Experiments 3 Results The Ames Laboratory, US DOE 2 Dynamic Whitelist Generation for Automated Response Introduction Methodology Results About Ames Laboratory Motivation Ames Physical Environment The Ames Laboratory, US DOE 3 Dynamic Whitelist Generation for Automated Response Introduction Methodology Results About Ames Laboratory Motivation Ames Network Environment The Ames Laboratory, US DOE 4 Dynamic Whitelist Generation for Automated Response Introduction Methodology Results About Ames

218

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

219

Comparative analyses of spent nuclear fuel transport modal options: Transport options under existing site constraints  

SciTech Connect

The movement of nuclear waste can be accomplished by various transport modal options involving different types of vehicles, transport casks, transport routes, and intermediate intermodal transfer facilities. A series of systems studies are required to evaluate modal/intermodal spent fuel transportation options in a consistent fashion. This report provides total life-cycle cost and life-cycle dose estimates for a series of transport modal options under existing site constraints. 14 refs., 7 figs., 28 tabs.

Brentlinger, L.A.; Hofmann, P.L.; Peterson, R.W.

1989-08-01T23:59:59.000Z

220

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

Note: This page contains sample records for the topic "transportation total automated" 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

AUTOMATING GROUNDWATER SAMPLING AT HANFORD  

SciTech Connect

Until this past October, Fluor Hanford managed Hanford's integrated groundwater program for the U.S. Department of Energy (DOE). With the new contract awards at the Site, however, the CH2M HILL Plateau Remediation Company (CHPRC) has assumed responsibility for the groundwater-monitoring programs at the 586-square-mile reservation in southeastern Washington State. These programs are regulated by the Resource Conservation and Recovery Act (RCRA) and the Comprehensive Environmental Response Compensation and Liability Act (CERCLA). The purpose of monitoring is to track existing groundwater contamination from past practices, as well as other potential contamination that might originate from RCRA treatment, storage, and disposal (TSD) facilities. An integral part of the groundwater-monitoring program involves taking samples of the groundwater and measuring the water levels in wells scattered across the site. More than 1,200 wells are sampled each year. Historically, field personnel or 'samplers' have been issued pre-printed forms that have information about the well(s) for a particular sampling evolution. This information is taken from the Hanford Well Information System (HWIS) and the Hanford Environmental Information System (HEIS)--official electronic databases. The samplers used these hardcopy forms to document the groundwater samples and well water-levels. After recording the entries in the field, the samplers turned the forms in at the end of the day and the collected information was posted onto a spreadsheet that was then printed and included in a log book. The log book was then used to make manual entries of the new information into the software application(s) for the HEIS and HWIS databases. This is a pilot project for automating this tedious process by providing an electronic tool for automating water-level measurements and groundwater field-sampling activities. The automation will eliminate the manual forms and associated data entry, improve the accuracy of the information recorded, and enhance the efficiency and sampling capacity of field personnel. The goal of the effort is to eliminate 100 percent of the manual input to the database(s) and replace the management of paperwork by the field and clerical personnel with an almost entirely electronic process. These activities will include the following: scheduling the activities of the field teams, electronically recording water-level measurements, electronically logging and filing Groundwater Sampling Reports (GSR), and transferring field forms into the site-wide Integrated Document Management System (IDMS).

CONNELL CW; HILDEBRAND RD; CONLEY SF; CUNNINGHAM DE

2009-01-16T23:59:59.000Z

222

Open Automated Demand Response for Small Commerical Buildings  

SciTech Connect

This report characterizes small commercial buildings by market segments, systems and end-uses; develops a framework for identifying demand response (DR) enabling technologies and communication means; and reports on the design and development of a low-cost OpenADR enabling technology that delivers demand reductions as a percentage of the total predicted building peak electric demand. The results show that small offices, restaurants and retail buildings are the major contributors making up over one third of the small commercial peak demand. The majority of the small commercial buildings in California are located in southern inland areas and the central valley. Single-zone packaged units with manual and programmable thermostat controls make up the majority of heating ventilation and air conditioning (HVAC) systems for small commercial buildings with less than 200 kW peak electric demand. Fluorescent tubes with magnetic ballast and manual controls dominate this customer group's lighting systems. There are various ways, each with its pros and cons for a particular application, to communicate with these systems and three methods to enable automated DR in small commercial buildings using the Open Automated Demand Response (or OpenADR) communications infrastructure. Development of DR strategies must consider building characteristics, such as weather sensitivity and load variability, as well as system design (i.e. under-sizing, under-lighting, over-sizing, etc). Finally, field tests show that requesting demand reductions as a percentage of the total building predicted peak electric demand is feasible using the OpenADR infrastructure.

Dudley, June Han; Piette, Mary Ann; Koch, Ed; Hennage, Dan

2009-05-01T23:59:59.000Z

223

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

224

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

225

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

226

Automated cleaning of electronic components  

SciTech Connect

Environmental and operator safety concerns are leading to the elimination of trichloroethylene and chlorofluorocarbon solvents in cleaning processes that remove rosin flux, organic and inorganic contamination, and particulates from electronic components. Present processes depend heavily on these solvents for manual spray cleaning of small components and subassemblies. Use of alternative solvent systems can lead to longer processing times and reduced quality. Automated spray cleaning can improve the quality of the cleaning process, thus enabling the productive use of environmentally conscious materials, while minimizing personnel exposure to hazardous materials. We describe the development of a prototype robotic system for cleaning electronic components in a spray cleaning workcell. An important feature of the prototype system is the capability to generate the robot paths and motions automatically from the CAD models of the part to be cleaned, and to embed cleaning process knowledge into the automatically programmed operations.

Drotning, W.; Meirans, L.; Wapman, W.; Hwang, Y.; Koenig, L.; Petterson, B.

1994-07-01T23:59:59.000Z

227

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

228

A SIP-based Home Automation Platform: an Experimental Study  

E-Print Network (OSTI)

A SIP-based Home Automation Platform: an Experimental Study Benjamin Bertran, Charles Consel INRIA the requirements of home automation; we present the resulting architecture of a home automation system; and, we to tackle the challenges of the home automation domain. In this paper we present an approach and a platform

Boyer, Edmond

229

Fueling Robot Automates Hydrogen Hose Reliability Testing (Fact Sheet)  

SciTech Connect

Automated robot mimics fueling action to test hydrogen hoses for durability in real-world conditions.

Harrison, K.

2014-01-01T23:59:59.000Z

230

Automated Data Quality Analysis Research and Development  

E-Print Network (OSTI)

DOCUMENTATION 4.0 FUTURE DIRECTIONS 5.0 SUMMARY 6.0 CODE 1 2 3 5 5 12 17 17 18 February 2002, Final Report Energy Systems Laboratory, Texas A&M University p. 5 1.0 INTRODUCTION The Automated Data Quality process development is an effort to automate the analysis.... Automation of the "lower-level" data quality checking will enabled a more refined review process. Figure 1. Energy Core Polling and Reloading Process Diagram February 2002, Final Report Energy Systems Laboratory, Texas A&M University p. 6 2.2 Definitions...

Sweeney, J., Jr.; Haberl, J. S.

2002-01-01T23:59:59.000Z

231

j5 DNA Assembly Design Automation Software  

Science Journals Connector (OSTI)

j5 DNA Assembly Design Automation Software ... Here, we report the development and deployment of a web-based software tool, j5, which automates the design of scar-less multipart DNA assembly protocols including SLIC, Gibson, CPEC, and Golden Gate. ... The key innovations of the j5 design process include cost optimization, leveraging DNA synthesis when cost-effective to do so, the enforcement of design specification rules, hierarchical assembly strategies to mitigate likely assembly errors, and the instruction of manual or automated construction of scar-less combinatorial DNA libraries. ...

Nathan J. Hillson; Rafael D. Rosengarten; Jay D. Keasling

2011-12-07T23:59:59.000Z

232

Modular design for increasing assembly automation  

Science Journals Connector (OSTI)

Abstract Modular design can address the need for a high number of product variants and further allow a higher degree of automation in the assembly line. A framework is developed for the simultaneous modular product design and the design of automated manufacturing system. Product designs are optimized for automation using Design Structure Matrix and Modular Function Deployment. Alternative production systems are designed and accessed based on the analysis of assembly steps hierarchically. The implementation of the framework on the design of a production system for furniture assembly, able to handle multiple variants with a large number of components, is demonstrated.

Konstantinos Salonitis

2014-01-01T23:59:59.000Z

233

AUTOMATION IN THE MEAT INDUSTRY | Slaughter Line Operation  

Science Journals Connector (OSTI)

Abstract The strongest incentives for the slaughter industry to adopt automation technology relate to the drive for improved productivity through reduced labor. Automation in the pig slaughter industry has mainly been adopted in regions with high labor costs such as Northern Europe. In New Zealand, the lamb slaughter industry has been progressive in developing and using automation to automate the slaughter process. Automation in beef slaughter is limited because of the complexity associated with handling of the biological variation. Barriers for slaughter line automation include the high cost and complexity associated with the development of slaughter automation technology, combined with limited market size.

J.U. Nielsen; N.T. Madsen; R. Clarke

2014-01-01T23:59:59.000Z

234

WIPP Transportation  

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

Transuranic Waste Transportation Container Documents Documents related to transuranic waste containers and packages. CBFO Tribal Program Information about WIPP shipments across...

235

Transportation Security  

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

Preliminary Draft - For Review Only 1 Transportation Security Draft Annotated Bibliography Review July 2007 Preliminary Draft - For Review Only 2 Work Plan Task * TEC STG Work...

236

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

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

2000-01-02T23:59:59.000Z

237

Rail Coal Transportation Rates  

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

reports reports Coal Transportation Rates to the Electric Power Sector With Data through 2010 | Release Date: November 16, 2012 | Next Release Date: December 2013 | Correction Previous editions Year: 2011 2004 Go Figure 1. Deliveries from major coal basins to electric power plants by rail, 2010 Background In this latest release of Coal Transportation Rates to the Electric Power Sector, the U.S. Energy Information Administration (EIA) significantly expands upon prior versions of this report with the incorporation of new EIA survey data. Figure 1. Percent of total U.S. rail shipments represented in data figure data Previously, EIA relied solely on data from the U.S. Surface Transportation Board (STB), specifically their confidential Carload Waybill Sample. While valuable, due to the statistical nature of the Waybill data,

238

Level of Automation Effects on Situation Awareness and Functional Specificity in Automation Reliance.  

E-Print Network (OSTI)

??This thesis investigates the relationships between performance, workload, and situation awareness at varying levels of automation. The relationships observed in this study are compared to (more)

Smith, Adam

2012-01-01T23:59:59.000Z

239

Modeling Total Solar Irradiance Variations Using Automated Classification Software on Mount Wilson Data  

E-Print Network (OSTI)

taken with the 150-foot solar tower at MWO which has been inthose from the 150-foot solar tower synoptic program without

Ulrich, R. K.; Parker, D.; Bertello, L.; Boyden, J.

2010-01-01T23:59:59.000Z

240

Definition: Distribution Automation | Open Energy Information  

Open Energy Info (EERE)

Automation Automation Jump to: navigation, search Dictionary.png Distribution Automation DA is a family of technologies including sensors, processors, communication networks, and switches that can perform a number of distribution system functions depending on how they are implemented. Over the last 20 years, utilities have been applying DA to improve reliability, service quality and operational efficiency. More recently, DA is being applied to perform automatic switching, reactive power compensation coordination, or other feeder operations/control.[1] Related Terms sustainability, smart grid References ↑ https://www.smartgrid.gov/category/technology/distribution_automation [[Ca LikeLike UnlikeLike You and one other like this.One person likes this. Sign Up to see what your friends like.

Note: This page contains sample records for the topic "transportation total automated" 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

Definition: Automated Distribution Circuit Switches | Open Energy  

Open Energy Info (EERE)

Circuit Switches Circuit Switches Jump to: navigation, search Dictionary.png Automated Distribution Circuit Switches Distribution circuit switches that can be operated automatically in response to control signals from local sensors, distribution automation systems, or grid control systems. Such switches can be installed as automated devices or existing equipment can be retrofitted with controls and communications. The degree of automation depends on the controls and communications system implemented. These switches can be opened or closed to isolate portions of a distribution circuit that has experienced a short circuit (fault), or must be taken out of service for maintenance or other operations. When used in combination, these switches can reroute power from other substations or nearby distribution circuits.[1]

242

LANL to certify automated influenza surveillance system  

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

LANL to certify automated influenza surveillance system LANL to certify automated influenza surveillance system LANL to certify automated influenza surveillance system A compact automated system for surveillance and screening of potential pandemic strains of influenza and other deadly infectious diseases is a step closer to reality. January 31, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy

243

Automated visual inspection of rolled metal surfaces  

Science Journals Connector (OSTI)

A prototype for an automated visual on-line metal strip inspection system is described. The system is capable of both detecting and classifying surface defects in copper alloy strips, and it has been installed...

Timo Piironen; Olli Silven; Matti Pietikinen

1990-01-01T23:59:59.000Z

244

Automated intrusion recovery for web applications  

E-Print Network (OSTI)

In this dissertation, we develop recovery techniques for web applications and demonstrate that automated recovery from intrusions and user mistakes is practical as well as effective. Web applications play a critical role ...

Chandra, Ramesh, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

245

Honeywell modular automation system computer software documentation  

SciTech Connect

This document provides a Computer Software Docuemntation for a new Honeywell Modular Automation System (MAS) being installed in the Plutonium Finishing Plant (PFP). This system will be used to control new thermal stabilization furnaces in HA-21I.

Cunningham, L.T.

1997-01-20T23:59:59.000Z

246

ZigBee Smart Home Automation Systems  

Science Journals Connector (OSTI)

This chapter summarizes a completed UK government funded project, the indeedNET ZigBee home automation system, which heralds a milestone in the ... energy saving devices with the potential to help home owners and...

Shuang-Hua Yang

2014-01-01T23:59:59.000Z

247

Graphic update of automated logic diagrams  

Science Journals Connector (OSTI)

The Automated Logic Diagram, or ALD, is a well defined document prepared by engineers to specify the design of a machine. 1 The document is coded for computer input by highly trained transcription personnel. Changes or corrections ...

Richard J. Uhlik

1968-07-01T23:59:59.000Z

248

Mirle Automation Corporation | Open Energy Information  

Open Energy Info (EERE)

Mirle Automation Corporation Mirle Automation Corporation Jump to: navigation, search Name Mirle Automation Corporation Place Hsinchu, Taiwan Zip 30077 Sector Solar Product A Taiwan-based automation system integrators and related product manufacturers who have entered thin film solar cell manufacturing equipment business. Coordinates 24.69389°, 121.148064° 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":24.69389,"lon":121.148064,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

249

Distributed Intelligent Automated Demand Response (DIADR) Building  

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

Distributed Intelligent Automated Demand Distributed Intelligent Automated Demand Response (DIADR) Building Management System Distributed Intelligent Automated Demand Response (DIADR) Building Management System The U.S. Department of Energy (DOE) is currently conducting research into distributed intelligent-automated demand response (DIADR) building management systems. Project Description This project aims to develop a DIADR building management system with intelligent optimization and control algorithms for demand management, taking into account a multitude of factors affecting cost including: Comfort Heating, ventilating, and air conditioning (HVAC) Lighting Other building systems Climate Usage and occupancy patterns. The key challenge is to provide the demand response the ability to address more and more complex building systems that include a variety of loads,

250

Design automation for microfluidics-based biochips  

Science Journals Connector (OSTI)

Advances in microfluidics technology offer exciting possibilities in the realm of enzymatic analysis, DNA analysis, proteomic analysis involving proteins and peptides, immunoassays, implantable drug delivery devices, and environmental toxicity monitoring. ... Keywords: Microfluidics, biochips, design automation

Krishnendu Chakrabarty; Jun Zeng

2005-10-01T23:59:59.000Z

251

Automating Logic Rectification by Approximate SPFDs  

Science Journals Connector (OSTI)

In the digital VLSI cycle, a netlist is often modified to correct design errors, perform small specification changes or implement incremental rewiring-based optimization operations. Most existing automated logic rectification tools use a small set of ... Keywords: SAT-based algorithm, approximate SPFD, digital VLSI cycle, design errors, incremental rewiring-based optimization operations, automated logic rectification tools, predefined logic transformations, memory/time explosion problem

Yu-Shen Yang; S. Sinha; A. Veneris; R. K. Brayton

2007-01-01T23:59:59.000Z

252

Transportation Market Distortions  

E-Print Network (OSTI)

of Highways, Volpe National Transportation Systems Center (Evaluating Criticism of Transportation Costing, VictoriaFrom Here: Evaluating Transportation Diversity, Victoria

Litman, Todd

2006-01-01T23:59:59.000Z

253

Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards  

E-Print Network (OSTI)

to Automated Demand Response and the OpenADR Automated Demand Response Program. https://Data for Automated Demand Response in Commercial

Ghatikar, Girish

2014-01-01T23:59:59.000Z

254

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

for Automated Demand Response in Commercial Buildings. In2010. Open Automated Demand Response Dynamic Pricing2009. Open Automated Demand Response Communications

Ghatikar, Girish

2010-01-01T23:59:59.000Z

255

Explorations of Space-Charge Limits in Parallel-Plate Diodes and Associated Techniques for Automation  

E-Print Network (OSTI)

and Associated Techniques for Automation by Benjamin Ragan-and Associated Techniques for Automation Copyright 2013 byand Associated Techniques for Automation by Benjamin Ragan-

Ragan-Kelley, Benjamin

2013-01-01T23:59:59.000Z

256

Demonstration of Datacenter Automation Software and Hardware (DASH) at the California Franchise Tax Board  

E-Print Network (OSTI)

of Datacenter Automation Software and Hardware (DASH) at theof Datacenter Automation Software and Hardware (DASH) at theprotocol for building automation and control networks. It is

Bell, Geoffrey C.

2010-01-01T23:59:59.000Z

257

Automation for on-line remote-control in-situ electron microscopy  

E-Print Network (OSTI)

Pfefferkorn Conference (1996) Automation for On-Line Remote-Pfefferkorn Conference (1996) Automation for On-Line Remote-by incorporating local automation of stage control and

1996-01-01T23:59:59.000Z

258

Automated Demand Response Technologies and Demonstration in New York City using OpenADR  

E-Print Network (OSTI)

EMCS Vendor and Product Automated Logic Control RemoteBuildings Integrator, Automated Logic Corporations WebCTRLIntegrator (EBI), Automated Logic Corporations WebCTRL ,

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

259

A Mobile Automated Tomographic Gamma Scanning System - 13231  

SciTech Connect

Canberra Industries have recently designed and built a new automated Tomographic Gamma Scanning (TGS) system for mobile deployment. The TGS technique combines high-resolution gamma spectroscopy with low spatial resolution 3-dimensional image reconstruction to provide increased accuracy over traditional approaches for the assay of non-uniform source distributions in low-to medium-density, non-heterogeneous matrices. Originally pioneered by R. Estep at Los Alamos National Laboratory (LANL), the TGS method has been further developed and commercialized by Canberra Industries in recent years. The present system advances the state of the art on several fronts: it is designed to be housed in a standard cargo transport container for ease of transport, allowing waste characterization at multiple facilities under the purview of a single operator. Conveyor feed, drum rotator, and detector and collimator positioning mechanisms operated by programmable logic control (PLC) allow automated batch mode operation. The variable geometry settings can accommodate a wide range of waste packaging, including but not limited to standard 220 liter drums, 380 liter overpack drums, and smaller 20 liter cans. A 20 mCi Eu-152 transmission source provides attenuation corrections for drum matrices up to 1 g/cm{sup 3} in TGS mode; the system can be operated in Segmented Gamma Scanning (SGS) mode to measure higher density drums. To support TGS assays at higher densities, the source shield is sufficient to house an alternate Co-60 transmission source of higher activity, up to 250 mCi. An automated shutter and attenuator assembly is provided for operating the system with a dual intensity transmission source. The system's 1500 kg capacity rotator turntable can handle heavy containers such as concrete lined 380 liter overpack drums. Finally, data acquisition utilizes Canberra's Broad Energy Germanium (BEGE) detector and Lynx MCA, with 32 k channels, providing better than 0.1 keV/channel resolution to support both isotopic analysis with the MGA/MGAU software and a wide 3 MeV dynamic range. The calibration and verification of the system is discussed, and quantitative results are presented for a variety of drum types and matrices. (authors)

Kirkpatrick, J.M.; LeBlanc, P.J.; Nakazawa, D.; Petroka, D.L.; Kane Smith, S.; Venkataraman, R.; Villani, M. [Canberra Industries, Inc. 800 Research Parkway, Meriden CT 06450 (United States)] [Canberra Industries, Inc. 800 Research Parkway, Meriden CT 06450 (United States)

2013-07-01T23:59:59.000Z

260

2030 Transportation and Mobility Plan  

E-Print Network (OSTI)

sections are as follows: 1. Introduction 2. Bi-State MPO Area Description 3. Planning Horizon Description and Data Projections 4. Long Range Plan Presentation 5. Plan Implementation and Monitoring Procedures 6. Bi-State MPO 2030 Transportation..., improved access at the Leigh Avenue/I-540 interchange, and the deployment of appropriate Intelligent Transportation Systems (ITS) projects. The Airport Master Plan Update has estimated a total airport improvement cost of $ 74,170,000 over a Three (3...

Bi-State Metropolitan Planning Organization

2006-08-11T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network (OSTI)

Julio de 2011 Tipo de Discapacidad Sexo CENTRO 5-Distribución del estudiantado con discapacidad por centro, tipo de discapacidad, sexo y totales. #12;

Autonoma de Madrid, Universidad

262

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... ment of the total energy and vice versa. From a measurement of spectral irradi- ance ... unit energy (for the wavelength region specified).

2000-01-02T23:59:59.000Z

263

Automated diagnostics scoping study. Final report  

SciTech Connect

The objective of the Automated Diagnostics Scoping Study was to investigate the needs for diagnostics in building operation and to examine some of the current technologies in automated diagnostics that can address these needs. The study was conducted in two parts. In the needs analysis, the authors interviewed facility managers and engineers at five building sites. In the technology survey, they collected published information on automated diagnostic technologies in commercial and military applications as well as on technologies currently under research. The following describe key areas that the authors identify for the research, development, and deployment of automated diagnostic technologies: tools and techniques to aid diagnosis during building commissioning, especially those that address issues arising from integrating building systems and diagnosing multiple simultaneous faults; technologies to aid diagnosis for systems and components that are unmonitored or unalarmed; automated capabilities to assist cause-and-effect exploration during diagnosis; inexpensive, reliable sensors, especially those that expand the current range of sensory input; technologies that aid predictive diagnosis through trend analysis; integration of simulation and optimization tools with building automation systems to optimize control strategies and energy performance; integration of diagnostic, control, and preventive maintenance technologies. By relating existing technologies to perceived and actual needs, the authors reached some conclusions about the opportunities for automated diagnostics in building operation. Some of a building operator`s needs can be satisfied by off-the-shelf hardware and software. Other needs are not so easily satisfied, suggesting directions for future research. Their conclusions and suggestions are offered in the final section of this study.

Quadrel, R.W.; Lash, T.A.

1994-06-01T23:59:59.000Z

264

ISA Approves Standard for Wireless Automation in Process Control  

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

ISA Approves Standard for Wireless Automation in Process Control ISA Approves Standard for Wireless Automation in Process Control Applications ISA Approves Standard for Wireless Automation in Process Control Applications On September 9, the Standards and Practices Board of the International Society for Automation (ISA) approved the ISA-100.11a wireless standard, "Wireless Systems for Industrial Automation: Process Control and Related Applications," making it an official ISA standard. ISA Approves Standard for Wireless Automation in Process Control Applications More Documents & Publications DOE/OE National SCADA Test Bed Fiscal Year 2009 Work Plan Wireless System Considerations When Implementing NERC Critical Infrastructure Protection Standards Control Systems Security Standards: Accomplishments And Impacts

265

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

266

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

267

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

268

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

269

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

270

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

271

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

272

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

273

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

274

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

275

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

276

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

277

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

278

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

279

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

280

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

Note: This page contains sample records for the topic "transportation total automated" 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

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

282

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

283

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

284

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

285

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

286

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

287

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

288

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

289

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

290

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)

291

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

292

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

293

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)...........................

294

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

295

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

296

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

297

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

Gasoline and Diesel Fuel Update (EIA)

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

298

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

Gasoline and Diesel Fuel Update (EIA)

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

299

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

Annual Energy Outlook 2012 (EIA)

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

300

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

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "transportation total automated" 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

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

Gasoline and Diesel Fuel Update (EIA)

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

302

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

Gasoline and Diesel Fuel Update (EIA)

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

303

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

Annual Energy Outlook 2012 (EIA)

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

304

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

Annual Energy Outlook 2012 (EIA)

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

305

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

Gasoline and Diesel Fuel Update (EIA)

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

306

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

Gasoline and Diesel Fuel Update (EIA)

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

307

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

Gasoline and Diesel Fuel Update (EIA)

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

308

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

Annual Energy Outlook 2012 (EIA)

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

309

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

Gasoline and Diesel Fuel Update (EIA)

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

310

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

Gasoline and Diesel Fuel Update (EIA)

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

311

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

Gasoline and Diesel Fuel Update (EIA)

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

312

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...

313

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...

314

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

315

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

316

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

317

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

318

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

319

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

320

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

Note: This page contains sample records for the topic "transportation total automated" 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

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

322

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

323

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

324

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

325

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

326

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

327

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

328

Underground coal mining is an industry well suited for robotic automation. Human operators are severely hampered in  

E-Print Network (OSTI)

Abstract Underground coal mining is an industry well suited for robotic automation. Human operators approach meets the requirements for cutting straight entries and mining the proper amount of coal per cycle. Introduction The mining of soft materials, such as coal, is a large industry. Worldwide, a total of 435 million

Stentz, Tony

329

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

330

Automated Continuous Commissioning of Commercial Buildings  

E-Print Network (OSTI)

in building total energy consumption and related costs (overin building total energy consumption and related costs (overin building total energy consumption and related costs (over

Bailey, Trevor

2013-01-01T23:59:59.000Z

331

n-Tiered Test Automation Architecture for Agile Software Systems  

Science Journals Connector (OSTI)

Abstract This paper introduces a multi-tiered test automation architecture to optimize test automation in an Agile software development environment while increasing both the test coverage and depth of each tier. Test Automation is the act of converting manual test cases into automated scripts that can be executed autonomously. In general, testing accounts for roughly 60% of the overall development budget and approximately 50% of that is attributed to regression testing. In recent years software organizations have begun migrating to Agile software development practices and automated testing in hopes of reducing the cost, lengthy regression cycles, and time to market. Traditionally, test automation is conducted on stable, non-changing applications. In an Agile environment where the code constantly changes, automated test cases become obsolete and must constantly be refactored in order to provide meaningful feedback about the system's quality. In most instances the cost of maintenance of automated test code completely overshadows the entire automation effort and negates any possible Return on Investment (RoI). An n-Tiered Test Automation Architecture seeks to retain the RoI by abstracting the automation project into separate distinct tiers; Presentation, Business, Data, and Services. These abstractions allow automated testing to continue providing feedback despite the constant revision of the system. A case study was conducted using this method and the observations showed that the automation architecture was resilient to change while increasing the test coverage, the depth of testing, and the overall quality of the application under test.

Patrick Day

2014-01-01T23:59:59.000Z

332

Field Testing of Automated Demand Response for Integration of Renewable Resources in California's Ancillary Services Market for Regulation Products  

E-Print Network (OSTI)

Controls Larry Bacher, Automated Logic Corporation Louiscontrolled from a central Automated Logic Corporation energy

Kiliccote, Sila

2013-01-01T23:59:59.000Z

333

Definition: Automated Capacitors | Open Energy Information  

Open Energy Info (EERE)

Capacitors Capacitors Jump to: navigation, search Dictionary.png Automated Capacitors Capacitors can increase the voltage on a distribution circuit by providing reactive power (often referred to as volt-amperes-reactive or VArs). Capacitor banks are switched in discrete steps, either manually, or in response to the voltage at the location where they are connected; typically, distribution capacitor banks are switched in a single step. If the voltage falls too far below the set point, the capacitor is switched in to raise the voltage. If the voltage rises too high above the set point, the capacitor is switched out to lower the voltage. Automated capacitors can be switched in coordination with other voltage control devices with signals from local sensors, distribution automation systems, or grid

334

AIS Automation Dresden | Open Energy Information  

Open Energy Info (EERE)

AIS Automation Dresden AIS Automation Dresden Jump to: navigation, search Name AIS Automation Dresden Place Dresden, Germany Zip D-01237 Product Provides software for industrial process control for the semiconductor and photovoltaic industries. Coordinates 51.053645°, 13.740815° 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":51.053645,"lon":13.740815,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

335

Analysis of Open Automated Demand Response Deployments in California  

E-Print Network (OSTI)

LBNL-6560E Analysis of Open Automated Demand Response Deployments in California and Guidelines The work described in this report was coordinated by the Demand Response Research. #12; #12;Abstract This report reviews the Open Automated Demand Response

336

Automated Demand Response Strategies and Commissioning Commercial Building Controls  

E-Print Network (OSTI)

4 9 . Piette et at Automated Demand Response Strategies andDynamic Controls for Demand Response in New and ExistingFully Automated Demand Response Tests in Large Facilities"

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

2006-01-01T23:59:59.000Z

337

Petri Net Based Research of Home Automation Communication Protocol  

Science Journals Connector (OSTI)

The popularity of home automation has been increasing greatly in recent years. ... distributed, uncertain or randomized protocol model) of home automation, many questions concerned. For instance, is ... net to de...

Guangxuan Chen; Yanhui Du; Panke Qin; Jin Du

2013-01-01T23:59:59.000Z

338

A framework for interactive end-user web automation.  

E-Print Network (OSTI)

??This research investigates the feasibility and usefulness of a Web-based model for end-user Web automation. The aim is to empower end users to automate their (more)

Eliwa, Essam

2013-01-01T23:59:59.000Z

339

Department of Mechanical Engineering Spring 2011 Nanoparticle Reactor Automation  

E-Print Network (OSTI)

PENNSTATE Department of Mechanical Engineering Spring 2011 Nanoparticle Reactor Automation Overview would be fully automated and able to run overnight. The team was also asked to keep the solutions from

Demirel, Melik C.

340

Automating Logic Rectification by Approximate SPFDs Yu-Shen Yang  

E-Print Network (OSTI)

Automating Logic Rectification by Approximate SPFDs Yu-Shen Yang Dept. of ECE University of Toronto changes or implement incremental rewiring-based optimization operations. Most existing automated logic

Veneris, Andreas

Note: This page contains sample records for the topic "transportation total automated" 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 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

342

Costs of Storing and Transporting Hydrogen  

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

An analysis was performed to estimate the costs associated with storing and transporting hydrogen. These costs can be added to a hydrogen production cost to determine the total delivered cost of hydrogen.

343

Beyond Commissioning: The Role of Automation  

SciTech Connect

This article takes a brief look at the benefits of commissioning and describes a vision of the future where most of the objectives of commissioning will be accomplished automatically by capabilities built into the building systems themselves. Commissioning will become an activity that's performed continuously rather than periodically, and only repairs requiring replacement or overhaul of equipment will require manual intervention. The article then identifies some of the technologies that will be needed to realize this vision and ends with a call for all involved in the enterprise of building commissioning and automation to embrace and dedicate themselves to a future of automated commissioning.

Brambley, Michael R.; Katipamula, Srinivas

2005-02-01T23:59:59.000Z

344

Automated generation of lattice QCD Feynman rules  

E-Print Network (OSTI)

The derivation of the Feynman rules for lattice perturbation theory from actions and operators is complicated, especially for highly improved actions such as HISQ. This task is, however, both important and particularly suitable for automation. We describe a suite of software to generate and evaluate Feynman rules for a wide range of lattice field theories with gluons and (relativistic and/or heavy) quarks. Our programs are capable of dealing with actions as complicated as (m)NRQCD and HISQ. Automated differentiation methods are used to calculate also the derivatives of Feynman diagrams.

A. Hart; G. M. von Hippel; R. R. Horgan; E. H. Mller

2009-04-02T23:59:59.000Z

345

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

Report 2009. Open Automated Demand Response Communicationsand Techniques for Demand Response. California Energyand S. Kiliccote. Estimating Demand Response Load Impacts:

Kiliccote, Sila

2010-01-01T23:59:59.000Z

346

How to Make Ad Hoc Proof Automation Less Ad Hoc  

E-Print Network (OSTI)

How to Make Ad Hoc Proof Automation Less Ad Hoc Georges Gonthier1 Beta Ziliani2 Aleks Nanevski3 Software Institute, Madrid ICFP 2011, Tokyo #12;Why proof automation at ICFP? Ad hoc polymorphism Overloading terms Ad hoc proof automation Overloading lemmas "How to make ad hoc polymorphism less ad hoc

Dreyer, Derek

347

Techniques for Securing Substation Automation Systems David Guidry1  

E-Print Network (OSTI)

Techniques for Securing Substation Automation Systems David Guidry1 , Mike Burmester1 , Xiuwen Liu1 propose techniques for resilient substation automation of power utility systems with security based-90-5 compliant substation automation systems that are resilient. We demonstrate the feasibility of our approach

Burmester, Mike

348

Automated FMEA based diagnostic symptom generation. Neal Snooke1,  

E-Print Network (OSTI)

Automated FMEA based diagnostic symptom generation. Neal Snooke1, , Chris Price Department the model based simulation used to produce an automated Failure Modes and Effect Analysis (FMEA to automate the production of a FMEA report, and the paper also considers the relationship between FMEA

Snooke, Neal

349

Home Automation in the Wild: Challenges and Opportunities  

E-Print Network (OSTI)

Home Automation in the Wild: Challenges and Opportunities A.J. Bernheim Brush, Bongshin Lee, Ratul enabling home automation. However, these technologies have not been widely adopted despite being available visits to 14 households with home automation. The long term experience, both positive and negative

Rajamani, Sriram K.

350

A Component Framework for Telecare and Home Automation  

E-Print Network (OSTI)

A Component Framework for Telecare and Home Automation Claire Maternaghan and Kenneth J. Turner-the-shelf and novel components. Keywords ­ Component Framework, Home Automation, Service-Oriented Architecture required. Home automation allows users to interact with their home as a whole, and to have flexible control

Hammerton, James

351

Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns  

E-Print Network (OSTI)

Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns Edwin O of two prediction algorithms, thus demonstrating multiple uses for a home automation system. Finally, we Several research efforts are focused on home automation. The Intelligent Room [2] uses an array of sensors

Cook, Diane J.

352

Remote-Controlled Home Automation Systems with Different Network Technologies  

E-Print Network (OSTI)

Remote-Controlled Home Automation Systems with Different Network Technologies Armando Roy Delgado into the potential for remote controlled operation of home automation systems. It considers problems, 2002) which certainly requires a careful study before developing any suitable Home Automation System

Grout, Vic

353

Automation strategies: existing theory or ad hoc decisions?  

Science Journals Connector (OSTI)

Automating manufacturing systems potentially improves competitiveness. Empirical studies show that the most successful result is achieved when decisions concerning automation are linked to the manufacturing strategies and competitive priorities of the company. It is suggested that automation is regarded as a separate decision group, within the manufacturing strategy content field.

Mats Winroth; Kristina Safsten; Johan Stahre

2007-01-01T23:59:59.000Z

354

Density Functional Theory-Based Database Development and CALPHAD Automation  

E-Print Network (OSTI)

Density Functional Theory-Based Database Development and CALPHAD Automation YI WANG,1,2 SHUNLI, the integration of first-principles calculations, CALPHAD modeling, and the automation of phase diagram, and the automated calculation of a phase diagram for the Al- Mg system. INTRODUCTION In thermodynamics, a phase

Chen, Long-Qing

355

Security Automation Developer Days March 22-25, 2011  

E-Print Network (OSTI)

Security Automation Developer Days March 22-25, 2011 Portrait Room The National Institute Reporting Format (ARF) efforts. 1:00 ­ 2:50 Adv. Tailoring and Automated Profile Selection Charles Schmidt tailoring procedures, and structures that could support automated selection of profiles. This discussion

Magee, Joseph W.

356

The Automation of Sound Reasoning and Successful Proof Finding  

E-Print Network (OSTI)

709 44 The Automation of Sound Reasoning and Successful Proof Finding LARRY WOS AND BRANDEN scientist naturally envisioned the automation of sound rea- soning ­ reasoning in which conclusions, and find proofs. But can such logical reasoning be fully automated? Can a single computer program

Fitelson, Branden

357

http://jla.sagepub.com/ Journal of Laboratory Automation  

E-Print Network (OSTI)

http://jla.sagepub.com/ Journal of Laboratory Automation http://jla.sagepub.com/content/early/2012 2012Journal of Laboratory Automation Timothy J. Bunning and Tony Jun Huang Yan Jun Liu, Mengqian Lu://www.sagepublications.com On behalf of: Society for Laboratory Automation and Screening can be found at:Journal of Laboratory

Demirel, Melik C.

358

IT/Automation Cost Reduction in Intel's Manufacturing Environment  

E-Print Network (OSTI)

IT/Automation Cost Reduction in Intel's Manufacturing Environment Brian Subirana subirana@mit.edu MIT Center for Coordination Science WP #222 July 2003 #12;IT/Automation Cost Reduction in Intel maintaining existing service levels. "We want you to reduce automation costs by 50% while maintaining equal

359

Control, automation and the hot rolling of steel  

Science Journals Connector (OSTI)

...Shercliff and M. J. Stowell Control, automation and the hot rolling of steel P.J...Rugby CV21 1BU, UK The current state of automation and control for hot rolling mills...mills|rolling mill models| Control, automation and the hot rolling of steel By P...

1999-01-01T23:59:59.000Z

360

AUTOMATED LOGIC SYNTHESIS OF RANDOM PATTERN TESTABLE CIRCUITS  

E-Print Network (OSTI)

AUTOMATED LOGIC SYNTHESIS OF RANDOM PATTERN TESTABLE CIRCUITS Nur A. Touba and Edward J. Mc during logic synthesis. An automated logic synthesis procedure is described which takes as an input a two. The approach taken in this paper is to consider random pattern testability during logic synthesis. An automated

Touba, Nur A.

Note: This page contains sample records for the topic "transportation total automated" 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

KBR transport gasifier  

SciTech Connect

The KBR Transport Gasifier is an advanced circulating fluidized bed reactor designed to operate at higher circulation rates, velocities and riser densities than a conventional circulating fluidized bed and is based on KBR's extensive fluid bed catalytic cracking experience. The KBR Transport Gasifier is currently being tested at the Power Systems Development Facility (PSDF), an engineering scale demonstration of advanced coal-fired power systems and high temperature, high-pressure gas filtration systems. The KBR Transport Gasifier was operated for three years as a pressurized combustor until coal gasification testing began in September 1999. Through September 2005, the Transport Gasifier has achieved over 7,700 hours of coal gasification. A total of 6,320 hours of gasification were with Powder River Basin coal and 750 hours were with North Dakota lignite. Additional hours were devoted to bituminous coals from Utah, Illinois, Indiana and Alabama. Most testing occurred in air blown gasification mode. It has also been tested for a total of 1,722 hours in oxygen-blown mode. The gasifier has operated at temperatures from 1,500 to 1,950{sup o}F and at pressures of up to 250 psig with coal rates of 2,500 to 5,000 pounds per hour, yielding commercially projected turbine inlet syngas heating values of up to 147 Btu/SCF in air-blown gasification and up to 298 Btu/SCF in oxygen-blown gasification. Carbon conversion has been as high as 98%. 7 refs., 8 figs., 1 tab.

NONE

2005-07-01T23:59:59.000Z

362

Neurotransmitter Transporters  

E-Print Network (OSTI)

at specialized synaptic junctions where electrical excitability in the form of an action potential is translated membrane of neurons and glial cells. Transporters harness electrochemical gradients to force the movement.els.net #12;The response produced when a transmitter interacts with its receptors, the synaptic potential

Bergles, Dwight

363

Total Sky Imager (TSI) Handbook  

SciTech Connect

The total sky imager (TSI) provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees.

Morris, VR

2005-06-01T23:59:59.000Z

364

Salsbury and Diamond: Automated Testing of HVAC Systems for Commissioning -1 -Automated Testing of HVAC Systems for Commissioning  

E-Print Network (OSTI)

and Diamond: Automated Testing of HVAC Systems for Commissioning - 1 - Automated Testing of HVAC Systems This paper describes an approach to the automation of the commissioning of HVAC systems. The approach of many HVAC systems is limited more by poor installation, commissioning, and maintenance than by poor

365

Automated Architectural Exploration for Signal Processing Algorithms  

E-Print Network (OSTI)

Automated Architectural Exploration for Signal Processing Algorithms Ramsey Hourani, Ravi Jenkal, W processing algorithms. The goal of our framework is to improve hardware architectural exploration by guiding Property (IP) cores for system level signal processing algorithms. We present our view of a framework

Davis, Rhett

366

Automated Fuel Dispensing System Form Instructions  

E-Print Network (OSTI)

Automated Fuel Dispensing System Form Instructions If additional forms are necessary to provide(s) are hired and will be obtaining fuel, an Add Driver Form MUST be submitted for entry into the web database and/or diesel fuel to operate. Note: When a new vehicle, golf cart (gasoline), etc., is placed

Fernandez, Eduardo

367

Automated structure solution with the PHENIX suite  

SciTech Connect

Significant time and effort are often required to solve and complete a macromolecular crystal structure. The development of automated computational methods for the analysis, solution, and completion of crystallographic structures has the potential to produce minimally biased models in a short time without the need for manual intervention. The PHENIX software suite is a highly automated system for macromolecular structure determination that can rapidly arrive at an initial partial model of a structure without significant human intervention, given moderate resolution, and good quality data. This achievement has been made possible by the development of new algorithms for structure determination, maximum-likelihood molecular replacement (PHASER), heavy-atom search (HySS), template- and pattern-based automated model-building (RESOLVE, TEXTAL), automated macromolecular refinement (phenix. refine), and iterative model-building, density modification and refinement that can operate at moderate resolution (RESOLVE, AutoBuild). These algorithms are based on a highly integrated and comprehensive set of crystallographic libraries that have been built and made available to the community. The algorithms are tightly linked and made easily accessible to users through the PHENIX Wizards and the PHENIX GUI.

Terwilliger, Thomas C [Los Alamos National Laboratory; Zwart, Peter H [LBNL; Afonine, Pavel V [LBNL; Grosse - Kunstleve, Ralf W [LBNL

2008-01-01T23:59:59.000Z

368

Automated Structure Solution with the PHENIX Suite  

SciTech Connect

Significant time and effort are often required to solve and complete a macromolecular crystal structure. The development of automated computational methods for the analysis, solution and completion of crystallographic structures has the potential to produce minimally biased models in a short time without the need for manual intervention. The PHENIX software suite is a highly automated system for macromolecular structure determination that can rapidly arrive at an initial partial model of a structure without significant human intervention, given moderate resolution and good quality data. This achievement has been made possible by the development of new algorithms for structure determination, maximum-likelihood molecular replacement (PHASER), heavy-atom search (HySS), template and pattern-based automated model-building (RESOLVE, TEXTAL), automated macromolecular refinement (phenix.refine), and iterative model-building, density modification and refinement that can operate at moderate resolution (RESOLVE, AutoBuild). These algorithms are based on a highly integrated and comprehensive set of crystallographic libraries that have been built and made available to the community. The algorithms are tightly linked and made easily accessible to users through the PHENIX Wizards and the PHENIX GUI.

Zwart, Peter H.; Zwart, Peter H.; Afonine, Pavel; Grosse-Kunstleve, Ralf W.; Hung, Li-Wei; Ioerger, Tom R.; McCoy, A.J.; McKee, Eric; Moriarty, Nigel; Read, Randy J.; Sacchettini, James C.; Sauter, Nicholas K.; Storoni, L.C.; Terwilliger, Tomas C.; Adams, Paul D.

2008-06-09T23:59:59.000Z

369

Viability of Modern Automated Rapid Transit Applications  

E-Print Network (OSTI)

guideway: elevated, underground, at grade · Fully automated: electric-powered, electronic controls · Non · Headways/frequency: about 30 seconds/120 veh/hr · Small vehicles: 4-6 passengers, low weight · Eco: 4 km, 21 vehicles, two stations (parking and terminal) · Open to public service Spring 2011, 22

Minnesota, University of

370

Honeywell Modular Automation System Computer Software Documentation  

SciTech Connect

This document provides a Computer Software Documentation for a new Honeywell Modular Automation System (MAS) being installed in the Plutonium Finishing Plant (PFP). This system will be used to control new thermal stabilization furnaces in HA-211 and vertical denitration calciner in HC-230C-2.

CUNNINGHAM, L.T.

1999-09-27T23:59:59.000Z

371

AUTOMATED PLANNING FOR HYDROTHERMAL VENT PROSPECTING USING  

E-Print Network (OSTI)

AUTOMATED PLANNING FOR HYDROTHERMAL VENT PROSPECTING USING AUVS by ZEYN A SAIGOL A thesis submitted of searching the ocean floor for hydrothermal vents, using autonomous underwater vehicles (AUVs process (POMDP), but with a very large state space (of the order of 10123 states). This size of problem

Yao, Xin

372

PeopleSoft HR ECR Automation Process  

E-Print Network (OSTI)

PeopleSoft HR ECR Automation Process Inquiry Page March 2011 #12;ECR Transaction Inquiry To view a transaction that is in process or already completed, follow the menu navigation below: Home > Employee Change Home > Employee Change Request (ECR) > Inquire > ECR Inquire 5 #12;6 · The Originator is the only one

Huang, Jianyu

373

Review article Automated monitoring of greenhouse crops  

E-Print Network (OSTI)

of the greenhouse. Most of these sensors, such as thermistors and light meters, are reli- able, inexpensive, readilyReview article Automated monitoring of greenhouse crops David L. EHRETa*, Anthony LAUb, Shabtai and continuously detect crop stress, water use, growth and nutrition in greenhouse crops. Some of these techniques

Boyer, Edmond

374

Classified Automated Information System Security Program  

Directives, Delegations, and Requirements

To establish uniform requirements, policies, responsibilities, and procedures for the development and implementation of a Department of Energy (DOE) Classified Computer Security Program to ensure the security of classified information in automated data processing (ADP) systems. Cancels DOE O 5637.1. Canceled by DOE O 471.2.

1994-07-15T23:59:59.000Z

375

Safe controllers design for industrial automation systems  

Science Journals Connector (OSTI)

The design of safe industrial controllers is one of the most important domains related to Automation Systems research. To support it, synthesis and analysis techniques are available. Among the analysis techniques, two of the most important are Simulation ... Keywords: Formal verification, Industrial systems behaviour modelling, Real-time systems, Safe controllers, Simulation

Jos Machado; Eurico Seabra; Jos C. Campos; Filomena Soares; Celina P. Leo

2011-05-01T23:59:59.000Z

376

Sabbath Day Home Automation: "It's Like Mixing Technology and Religion"  

E-Print Network (OSTI)

We present a qualitative study of 20 American Orthodox Jewish families' use of home automation for religious purposes. These lead users offer insight into real-life, long-term experience with home automation technologies. We discuss how automation was seen by participants to contribute to spiritual experience and how participants oriented to the use of automation as a religious custom. We also discuss the relationship of home automation to family life. We draw design implications for the broader population, including surrender of control as a design resource, home technologies that support long-term goals and lifestyle choices, and respite from technology.

Woodruff, Allison; Foucault, Brooke

2007-01-01T23:59:59.000Z

377

International Energy Outlook 2001 - Transportation Energy Use  

Gasoline and Diesel Fuel Update (EIA)

Transportation Energy Use Transportation Energy Use picture of a printer Printer Friendly Version (PDF) Oil is expected to remain the primary fuel source for transportation throughout the world, and transportation fuels are projected to account for almost 57 percent of total world oil consumption by 2020. Transportation fuel use is expected to grow substantially over the next two decades, despite oil prices that hit 10-year highs in 2000. The relatively immature transportation sectors in much of the developing world are expected to expand rapidly as the economies of developing nations become more industrialized. In the reference case of the International Energy Outlook 2001 (IEO2001), energy use for transportation is projected to increase by 4.8 percent per year in the developing world, compared with

378

NREL: Transportation Research - News  

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

News NREL provides a number of transportation and hydrogen news sources. Transportation News Find news stories that highlight NREL's transportation research, development, and...

379

AUTOMATING THE SOLAR DRYERAIRFLOW CONTROL UTILIZING PRESSURE DIFFRENCE CONCEPT  

Science Journals Connector (OSTI)

The presence of a chimney in natural convective solar dryer has proven its benefit in accelerated transport of moist air from the drying compartment and thus shortening the drying time for intended crops. The experiment and simulation studies done by various parties have guaranteed increases in the airflow in relation to the physical height of chimney. A simple automated control system is proposed to assist the controls of airflow rate so that a near optimum mass flow rate could be achieved for the best possible dried product quality in the shortest possible drying period.

T. B. Luk; A. Vakhguelt

2009-01-01T23:59:59.000Z

380

Transportation Security  

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

For Review Only 1 Transportation Security Draft Annotated Bibliography Review July 2007 Preliminary Draft - For Review Only 2 Work Plan Task * TEC STG Work Plan, dated 8/2/06, Product #16, stated: "Develop an annotated bibliography of publicly-available documents related to security of radioactive material transportation." * Earlier this year, a preliminary draft annotated bibliography on this topic was developed by T-REX , UNM, to initially address this STG Work Plan Task. Preliminary Draft - For Review Only 3 Considerations in Determining Release of Information * Some "Publicly-available" documents could potentially contain inappropriate information according to standards set by DOE information security policy and DOE Guides. - Such documents would not be freely

Note: This page contains sample records for the topic "transportation total automated" 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

Transportation Issues  

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

Issues Issues and Resolutions - Compilation of Laboratory Transportation Work Package Reports Prepared for U.S. Department of Energy Used Fuel Disposition Campaign Compiled by Paul McConnell Sandia National Laboratories September 30, 2012 FCRD-UFD-2012-000342 Transportation Issues and Resolutions ii September 2012 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any

382

Spin injection and transport in semiconductor and metal nanostructures  

E-Print Network (OSTI)

coefficient and can be determined for our devices from two-terminal spin valvecoefficient of the spin-selective contacts, ? n and ? sf are total transport time through the spin valve andcoefficient of the spin-selective contacts, ? n and ? sf are total transport time through the spin valve and

Zhu, Lei

2009-01-01T23:59:59.000Z

383

SUSTAINABLE TRANSPORTATION ENERGY PATHWAYS A Research Summary for Decision Makers  

E-Print Network (OSTI)

consumption), and fuel carbon intensity. We can estimate transportation GHG emissions by plugging these four of the total human population (P) and transport intensity (T). The amount of carbon emitted per mile of transport is a product of energy intensity (E) and carbon intensity (C). By working out this equation

California at Davis, University of

384

Policy Research TRANSPORTATION  

E-Print Network (OSTI)

Policy Research TRANSPORTATION CENTER Thestate's transportation system is central to its ability movement of goods to maintain and enhance global economic competitiveness. An effective transportation, TTI has identified the following set of initial transportation issues which must be better understood

385

Instrillment Development Multi-Spectral Automated Rotating Shadowt)and Radiometry  

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

Instrillment Development Instrillment Development Multi-Spectral Automated Rotating Shadowt)and Radiometry L. Harrison Atmospheric: Sciences Research Center State University of New York at Albany Albany, NY 12205 I am developing two related instruments for use in the Atmospheric Radiation Measurement (ARM) p,rogram; both use an automated rotating shadowband technique to make spectrally resolved measurements of the direct-normal, total horizontal, and diffuse horizontal irradiances. These parameters of the sky-radiance function are measured using the same detector (for a given wavelength), eliminating the difficulties inherent in comparing these data when measured by independent detectors. The first of these instruments uses independent interterence-filter/photodiode detectors to measure any seven

386

Coal Transportation Issues (released in AEO2007)  

Reports and Publications (EIA)

Most of the coal delivered to U.S. consumers is transported by railroads, which accounted for 64% of total domestic coal shipments in 2004. Trucks transported approximately 12% of the coal consumed in the United States in 2004, mainly in short hauls from mines in the East to nearby coal-fired electricity and industrial plants. A number of minemouth power plants in the West also use trucks to haul coal from adjacent mining operations. Other significant modes of coal transportation in 2004 included conveyor belt and slurry pipeline (12%) and water transport on inland waterways, the Great Lakes, and tidewater areas (9%).

2007-01-01T23:59:59.000Z

387

DAVIC - Distributed Energy Automation via Implicit Communication  

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

DAVIC - Distributed Energy Automation via Implicit Communication DAVIC - Distributed Energy Automation via Implicit Communication Speaker(s): Peter Palensky Date: January 22, 2008 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Peng Xu The electricity grid is seen as a wide-area distributed process, determined by its sub-processes - in our case the loads and distributed generation. Network-based coordination needs to be done very carefully and properly timed to avoid instabilities. Luckily, every point of the grid has the same grid frequency and the same time. Integrating these two trivial things (implicit communication) into one consistent communication model might complement a low-quality (explicit) best-effort communication channel (e.g. Internet, GPRS) for real time applications. A simulation shall clarify how

388

home automation | OpenEI Community  

Open Energy Info (EERE)

91 91 Varnish cache server Home Groups Community Central Green Button Applications Developer Utility Rate FRED: FRee Energy Database More Public Groups Private Groups Features Groups Blog posts Content Stream Documents Discussions Polls Q & A Events Notices My stuff Energy blogs 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142285591 Varnish cache server home automation Home Graham7781's picture Submitted by Graham7781(2002) Super contributor 23 January, 2013 - 13:57 The Consumer Electronics Show round-up CES electronics home automation Las Vegas OpenEI Smart Grid Every January, Las Vegas hosts the Consumer Electronics Show. The CES is the world's largest technology-related trade show. The highlights of this year's show were OLED TVs, ultra-thin laptops,

389

Definition: Automated Voltage Regulators | Open Energy Information  

Open Energy Info (EERE)

Regulators Regulators Jump to: navigation, search Dictionary.png Automated Voltage Regulators Voltage regulators are transformers that can increase or decrease the voltage on a distribution circuit to help keep the voltage within a pre-determined band. Unlike capacitor banks, voltage regulators cannot adjust power factor. These devices typically monitor the voltage at the location where they are connected, and compare it to a programmed set point. If the voltage deviates too far from the set point, the voltage regulator can increase or decrease its output voltage by moving the tap on the secondary side up or down. An automated voltage regulator can operate with remote control signals, or in concert with other area voltage control devices, to help regulate distribution voltage in a coordinated fashion.

390

Automating the development of EBS messages  

SciTech Connect

The State of New Hampshire (NH) had consistently received ARCAs for EBS messages over the years. Unfortunately, NH received a deficiency for information content of an Emergency Broadcast System (EBS) message during the 1993 Vermont Yankee exercise. The easy answer was to conduct training and pass the remedial. However, that would not have solved the problem of too much information to tailor in too little time. NH isn`t the only one with this problem, as evidenced by the 34 deficiencies due to incomplete, inaccurate or late EBS messages from 1991-1993 (1994 data not available at the time this paper was written.) EBS messages account for 46% of all deficiencies according to FEMA. Automation was the real solution. This paper details the development of a computer model that automates the development of EBS messages.

O`Hare, M.J. [Earth Tech., Alexandria, VA (United States); DeLucca, D.

1995-12-31T23:59:59.000Z

391

Automated diagnostic kiosk for diagnosing diseases  

DOE Patents (OSTI)

An automated and autonomous diagnostic apparatus that is capable of dispensing collection vials and collections kits to users interesting in collecting a biological sample and submitting their collected sample contained within a collection vial into the apparatus for automated diagnostic services. The user communicates with the apparatus through a touch-screen monitor. A user is able to enter personnel information into the apparatus including medical history, insurance information, co-payment, and answer a series of questions regarding their illness, which is used to determine the assay most likely to yield a positive result. Remotely-located physicians can communicate with users of the apparatus using video tele-medicine and request specific assays to be performed. The apparatus archives submitted samples for additional testing. Users may receive their assay results electronically. Users may allow the uploading of their diagnoses into a central databank for disease surveillance purposes.

Regan, John Frederick; Birch, James Michael

2014-02-11T23:59:59.000Z

392

Flow through electrode with automated calibration  

DOE Patents (OSTI)

The present invention is an improved automated flow through electrode liquid monitoring system. The automated system has a sample inlet to a sample pump, a sample outlet from the sample pump to at least one flow through electrode with a waste port. At least one computer controls the sample pump and records data from the at least one flow through electrode for a liquid sample. The improvement relies upon (a) at least one source of a calibration sample connected to (b) an injection valve connected to said sample outlet and connected to said source, said injection valve further connected to said at least one flow through electrode, wherein said injection valve is controlled by said computer to select between said liquid sample or said calibration sample. Advantages include improved accuracy because of more frequent calibrations, no additional labor for calibration, no need to remove the flow through electrode(s), and minimal interruption of sampling.

Szecsody, James E [Richland, WA; Williams, Mark D [Richland, WA; Vermeul, Vince R [Richland, WA

2002-08-20T23:59:59.000Z

393

Enhanced training effectiveness using automated student assessment.  

SciTech Connect

Training simulators have become increasingly popular tools for instructing humans on performance in complex environments. However, the question of how to provide individualized and scenario-specific assessment and feedback to students remains largely an open question. In this work, we follow-up on previous evaluations of the Automated Expert Modeling and Automated Student Evaluation (AEMASE) system, which automatically assesses student performance based on observed examples of good and bad performance in a given domain. The current study provides an empirical evaluation of the enhanced training effectiveness achievable with this technology. In particular, we found that students given feedback via the AEMASE-based debrief tool performed significantly better than students given only instructor feedback.

Forsythe, James Chris

2010-05-01T23:59:59.000Z

394

Automated generation of weld path trajectories.  

SciTech Connect

AUTOmated GENeration of Control Programs for Robotic Welding of Ship Structure (AUTOGEN) is software that automates the planning and compiling of control programs for robotic welding of ship structure. The software works by evaluating computer representations of the ship design and the manufacturing plan. Based on this evaluation, AUTOGEN internally identifies and appropriately characterizes each weld. Then it constructs the robot motions necessary to accomplish the welds and determines for each the correct assignment of process control values. AUTOGEN generates these robot control programs completely without manual intervention or edits except to correct wrong or missing input data. Most ship structure assemblies are unique or at best manufactured only a few times. Accordingly, the high cost inherent in all previous methods of preparing complex control programs has made robot welding of ship structures economically unattractive to the U.S. shipbuilding industry. AUTOGEN eliminates the cost of creating robot control programs. With programming costs eliminated, capitalization of robots to weld ship structures becomes economically viable. Robot welding of ship structures will result in reduced ship costs, uniform product quality, and enhanced worker safety. Sandia National Laboratories and Northrop Grumman Ship Systems worked with the National Shipbuilding Research Program to develop a means of automated path and process generation for robotic welding. This effort resulted in the AUTOGEN program, which has successfully demonstrated automated path generation and robot control. Although the current implementation of AUTOGEN is optimized for welding applications, the path and process planning capability has applicability to a number of industrial applications, including painting, riveting, and adhesive delivery.

Sizemore, John M. (Northrop Grumman Ship Systems); Hinman-Sweeney, Elaine Marie; Ames, Arlo Leroy

2003-06-01T23:59:59.000Z

395

Automated genotyping of dinucleotide repeat markers  

SciTech Connect

The dinucleotide repeats (i.e., microsatellites) such as CA-repeats are a highly polymorphic, highly abundant class of PCR-amplifiable markers that have greatly streamlined genetic mapping experimentation. It is expected that over 30,000 such markers (including tri- and tetranucleotide repeats) will be characterized for routine use in the next few years. Since only size determination, and not sequencing, is required to determine alleles, in principle, dinucleotide repeat genotyping is easily performed on electrophoretic gels, and can be automated using DNA sequencers. Unfortunately, PCR stuttering with these markers generates not one band for each allele, but a pattern of bands. Since closely spaced alleles must be disambiguated by human scoring, this poses a key obstacle to full automation. We have developed methods that overcome this obstacle. Our model is that the observed data is generated by arithmetic superposition (i.e., convolution) of multiple allele patterns. By quantitatively measuring the size of each component band, and exploiting the unique stutter pattern associated with each marker, closely spaced alleles can be deconvolved; this unambiguously reconstructs the {open_quotes}true{close_quotes} allele bands, with stutter artifact removed. We used this approach in a system for automated diagnosis of (X-linked) Duchenne muscular dystrophy; four multiplexed CA-repeats within the dystrophin gene were assayed on a DNA sequencer. Our method accurately detected small variations in gel migration that shifted the allele size estimate. In 167 nonmutated alleles, 89% (149/167) showed no size variation, 9% (15/167) showed 1 bp variation, and 2% (3/167) showed 2 bp variation. We are currently developing a library of dinucleotide repeat patterns; together with our deconvolution methods, this library will enable fully automated genotyping of dinucleotide repeats from sizing data.

Perlin, M.W.; Hoffman, E.P. [Carnegie Mellon Univ., Pittsburgh, PA (United States)]|[Univ. of Pittsburgh, PA (United States)

1994-09-01T23:59:59.000Z

396

Automated Microarray Image Analysis Toolbox for MATLAB  

SciTech Connect

The Automated Microarray Image Analysis (AMIA) Toolbox for MATLAB is a flexible, open-source microarray image analysis tool that allows the user to customize analysis of sets of microarray images. This tool provides several methods of identifying and quantify spot statistics, as well as extensive diagnostic statistics and images to identify poor data quality or processing. The open nature of this software allows researchers to understand the algorithms used to provide intensity estimates and to modify them easily if desired.

White, Amanda M.; Daly, Don S.; Willse, Alan R.; Protic, Miroslava; Chandler, Darrell P.

2005-09-01T23:59:59.000Z

397

Algorithms to Automate LCLS Undulator Tuning  

SciTech Connect

Automation of the LCLS undulator tuning offers many advantages to the project. Automation can make a substantial reduction in the amount of time the tuning takes. Undulator tuning is fairly complex and automation can make the final tuning less dependent on the skill of the operator. Also, algorithms are fixed and can be scrutinized and reviewed, as opposed to an individual doing the tuning by hand. This note presents algorithms implemented in a computer program written for LCLS undulator tuning. The LCLS undulators must meet the following specifications. The maximum trajectory walkoff must be less than 5 {micro}m over 10 m. The first field integral must be below 40 x 10{sup -6} Tm. The second field integral must be below 50 x 10{sup -6} Tm{sup 2}. The phase error between the electron motion and the radiation field must be less than 10 degrees in an undulator. The K parameter must have the value of 3.5000 {+-} 0.0005. The phase matching from the break regions into the undulator must be accurate to better than 10 degrees. A phase change of 113 x 2{pi} must take place over a distance of 3.656 m centered on the undulator. Achieving these requirements is the goal of the tuning process. Most of the tuning is done with Hall probe measurements. The field integrals are checked using long coil measurements. An analysis program written in Matlab takes the Hall probe measurements and computes the trajectories, phase errors, K value, etc. The analysis program and its calculation techniques were described in a previous note. In this note, a second Matlab program containing tuning algorithms is described. The algorithms to determine the required number and placement of the shims are discussed in detail. This note describes the operation of a computer program which was written to automate LCLS undulator tuning. The algorithms used to compute the shim sizes and locations are discussed.

Wolf, Zachary

2010-12-03T23:59:59.000Z

398

Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest  

E-Print Network (OSTI)

of fully automated demand response in large facilities,2009). Open Automated Demand Response CommunicationsOpen Automated Demand Response Technology Demonstration

Piette, Mary Ann

2014-01-01T23:59:59.000Z

399

Automated 3D trabecular bone structure analysis of the proximal femurprediction of biomechanical strength by CT and DXA  

E-Print Network (OSTI)

z ORIGINAL ARTICLE Automated 3D trabecular bone structureIntroduction An automated 3D segmentation algorithm wasstudy was to use an automated 3D segmentation algorithm to

2010-01-01T23:59:59.000Z

400

Energy Automation Systems Inc | Open Energy Information  

Open Energy Info (EERE)

Energy Automation Systems Inc Energy Automation Systems Inc Jump to: navigation, search Name Energy Automation Systems Inc. Place Hendersonville, Tennessee Zip 37075 Sector Buildings, Efficiency Product An energy efficiency consultancy firm focusing on analysis of energy consumption in buildings and providing improvments in the efficiency of the distribution system and equipment loads, similar to an ESCO. Coordinates 36.304861°, -86.620214° 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":36.304861,"lon":-86.620214,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "transportation total automated" 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

Automated FMEA based diagnostic symptom generation  

Science Journals Connector (OSTI)

The comprehensive on-board diagnosis of faults in many aerospace and other engineered systems requires real time execution using limited computational resources, and must also provide verifiable behaviour. This paper shows how a diagnostic system satisfying these requirements can be automatically generated from the model based simulation used to produce an automated Failure Modes and Effect Analysis (FMEA). The resulting diagnostic system comprises a set of efficiently evaluated symptoms and their associated faults. The symptoms are complete in that they include all necessary observations required to determine applicable system operating states, unlike other work that finesses this problem by having models for each operating state and producing diagnostics for each operating state separately. The symptoms are also efficient because they abstract complex system behaviour based on observations available to the diagnostic system and only preserve sufficient symptom detail to isolate faults given these available observations. This work has been done in the context of diagnosing autonomous aircraft, and is illustrated with examples from that domain. The models used as a basis for automated generation of diagnostics were originally produced to automate the production of a FMEA report, and the paper also considers the relationship between FMEA and diagnostics that provides verification of the failure effects predicted by the simulation and hence validation of the generated symptoms.

Neal Snooke; Chris Price

2012-01-01T23:59:59.000Z

402

Towards Automated Invocation of Web APIs  

E-Print Network (OSTI)

Abstract. This paper, targeting the large variety of Web APIs, presents an approach towards automated invocation of Web APIs. This approach applies a data schema, to the SAWSDL lowering schema mapping, a grounding mechanism that connects the ontological representations of Web APIs with their execution messages. It is intuitive to existing standard efforts and effective in coping with the heterogeneities witnessed by a majority of Web APIs. 1. Invocation of Linked Web APIs In recent years, the world of service on the Web has witnessed an increasing dominance of Web APIs over classical Web services characterized by WSDL and SOAP [1]. The Semantic Web Service (SWS) community, aiming to increase the level of automation for tasks like discovery, composition and invocation through semantic descriptions, is challenged by the large variety of Web APIs, particularly when it comes to automated invocation. Not only are Web APIs heterogeneous in the forms of elements essential to their invocation, such as address URI, but they also lack machine processable descriptions to address this heterogeneity [1]. hRESTS, a

Ning Li; Carlos Pedrinaci; Jacek Kopecky; Maria Maleshkova; Dong Liu; John Domingue

2011-01-01T23:59:59.000Z

403

Intelligent Transportation Systems - Center for Transportation Analysis  

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

Intelligent Transportation Systems Intelligent Transportation Systems The Center for Transportation Analysis does specialty research and development in intelligent transportation systems. Intelligent Transportation Systems (ITS) are part of the national strategy for improving the operational safety, efficiency, and security of our nation's highways. Since the early 1990s, ITS has been the umbrella under which significant efforts have been conducted in research, development, testing, deployment and integration of advanced technologies to improve the measures of effectiveness of our national highway network. These measures include level of congestion, the number of accidents and fatalities, delay, throughput, access to transportation, and fuel efficiency. A transportation future that includes ITS will involve a significant improvement in these

404

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:

405

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"

406

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

407

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

408

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

409

Stress distribution under heavy haul transporters  

SciTech Connect

In a previous cited paper, comparisons were made between the relationship of maximum vertical compressive stress generated with depth by various vehicles, including an automobile, a fully-loaded 18-wheel tractor-trailer combination, a test-loaded 12-axle, 96-wheel heavy transporter trailer, and the transporter prime mover, also test loaded. This paper extends the usefulness of those comparisons by adding a 12-axle, 144-wheel heavy transporter trailer. The transporter is a one-and-one-half-wide hydraulic platform trailer test loaded to 110% of the loading from a Westinghouse steam generator. The total weight on the transporter trailer tires is just over 675 tons. This trailer will be used in an upcoming steam generator replacement project. In addition to examining the distribution of maximum vertical stress with depth, the paper looks at the variation of loading beneath the maximum loaded axle of the transporter at different depths.

Davie, J.R.; Senapathy, H. [Bechtel Power Corp., Gaithersburg, MD (United States)

1999-11-01T23:59:59.000Z

410

Category:Transportation Toolkits | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Transportation Toolkits Jump to: navigation, search Add a new Transportation Toolkit Pages in category "Transportation Toolkits" The following 86 pages are in this category, out of 86 total. A A Report on Worldwide Hydrogen Bus Demonstrations, 2002-2007 A Review of HOV Lane Performance and Policy Options in the United States - Final Report A Roadmap to Funding Infrastructure Development Adapting Urban Transport to Climate Change- Module 5f - Sustainable transport: a sourcebook for policy-makers in developing cities Africa's Transport Infrastructure Mainstreaming Maintenance and Management

411

The MC21 Monte Carlo Transport Code  

SciTech Connect

MC21 is a new Monte Carlo neutron and photon transport code currently under joint development at the Knolls Atomic Power Laboratory and the Bettis Atomic Power Laboratory. MC21 is the Monte Carlo transport kernel of the broader Common Monte Carlo Design Tool (CMCDT), which is also currently under development. The vision for CMCDT is to provide an automated, computer-aided modeling and post-processing environment integrated with a Monte Carlo solver that is optimized for reactor analysis. CMCDT represents a strategy to push the Monte Carlo method beyond its traditional role as a benchmarking tool or ''tool of last resort'' and into a dominant design role. This paper describes various aspects of the code, including the neutron physics and nuclear data treatments, the geometry representation, and the tally and depletion capabilities.

Sutton TM, Donovan TJ, Trumbull TH, Dobreff PS, Caro E, Griesheimer DP, Tyburski LJ, Carpenter DC, Joo H

2007-01-09T23:59:59.000Z

412

V-132: IBM Tivoli System Automation Application Manager Multiple  

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

2: IBM Tivoli System Automation Application Manager Multiple 2: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities V-132: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities April 12, 2013 - 6:00am Addthis PROBLEM: IBM has acknowledged multiple vulnerabilities in IBM Tivoli System Automation Application Manager PLATFORM: The vulnerabilities are reported in IBM Tivoli System Automation Application Manager versions 3.1, 3.2, 3.2.1, and 3.2.2 ABSTRACT: Multiple security vulnerabilities exist in the IBM Java Runtime Environment component of IBM Tivoli System Automation Application Manager which may affect the product REFERENCE LINKS: Secunia Advisory: SA53006 IBM Security Bulletin 21633991 IBM Security Bulletin 21633992 CVE-2011-3563 CVE-2012-0497 CVE-2012-0498 CVE-2012-0499 CVE-2012-0501

413

V-132: IBM Tivoli System Automation Application Manager Multiple  

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

2: IBM Tivoli System Automation Application Manager Multiple 2: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities V-132: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities April 12, 2013 - 6:00am Addthis PROBLEM: IBM has acknowledged multiple vulnerabilities in IBM Tivoli System Automation Application Manager PLATFORM: The vulnerabilities are reported in IBM Tivoli System Automation Application Manager versions 3.1, 3.2, 3.2.1, and 3.2.2 ABSTRACT: Multiple security vulnerabilities exist in the IBM Java Runtime Environment component of IBM Tivoli System Automation Application Manager which may affect the product REFERENCE LINKS: Secunia Advisory: SA53006 IBM Security Bulletin 21633991 IBM Security Bulletin 21633992 CVE-2011-3563 CVE-2012-0497 CVE-2012-0498 CVE-2012-0499 CVE-2012-0501

414

Automated two column generator systems for medical radionuclides  

Science Journals Connector (OSTI)

This work describes automated chromatographic methods for the separation of medically useful radionuclides from source material containing their parent radionuclides. The separation techniques employ two chromatographic columns to ensure high chemical and radiochemical purity of the product radionuclide. The separations were performed using an automated system, the automated radionuclide separator (ARS2), consisting of syringe pumps and multiport valves controlled through a computer interface. Generator systems for 68Ga, 99mTc, 188Re and 213Bi will be described.

Daniel R. McAlister; E. Philip Horwitz

2009-01-01T23:59:59.000Z

415

International Energy Outlook 2000 - Transportation Energy Use  

Gasoline and Diesel Fuel Update (EIA)

Oil is expected to remain the primary fuel source for transportation throughout the world, and transportation fuels are projected to account for more than one-half of total world oil consumption from 2005 through 2020. Oil is expected to remain the primary fuel source for transportation throughout the world, and transportation fuels are projected to account for more than one-half of total world oil consumption from 2005 through 2020. With little competition from alternative fuels, at least at the present time, oil is expected to remain the primary energy source for fueling transportation around the globe in the International Energy Outlook 2000 (IEO2000) projections. In the reference case, the share of total world oil consumption that goes to the transportation sector increases from 49 percent in 1997 to 55 percent in 2020 (Figure 84). The IEO2000 projections group transportation energy use into three travel modes—road, air, and other (mostly rail but also including pipelines, inland waterways, and

416

Definition: Automated Islanding And Reconnection | Open Energy Information  

Open Energy Info (EERE)

Islanding And Reconnection Islanding And Reconnection Jump to: navigation, search Dictionary.png Automated Islanding And Reconnection Automated Islanding and Reconnection Automated islanding and reconnection is achieved by automated separation and subsequent reconnection (autonomous synchronization) of an independently operated portion of the T&D system (i.e., microgrid) from the interconnected electric grid. A microgrid is an integrated energy system consisting of interconnected loads and distributed energy resources which, as an integrated system, can operate in parallel with the grid or as an island.[1] View on Wikipedia Wikipedia Definition Islanding refers to the condition in which a distributed (DG) generator continues to power a location even though electrical grid power

417

Xlink-Identifier: An Automated Data Analysis Platform for Confident...  

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

of Chemically Cross-linked Peptides using Xlink-Identifier: An Automated Data Analysis Platform for Confident Identifications of Chemically Cross-linked Peptides using Abstract:...

418

Fueling Robot Automates Hydrogen Hose Reliability Testing (Fact...  

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

Automated robot mimics fueling action to test hydrogen hoses for durability in real-world conditions. With at least three major auto manufacturers expected to release fuel cell...

419

Automated data extraction from in situ protein stable isotope...  

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

data extraction from in situ protein stable isotope probing studies. Automated data extraction from in situ protein stable isotope probing studies. Abstract: Protein stable isotope...

420

Automated Office Systems Support (AOSS) Quality Assurance Model...  

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

assurance model, including checklists, for activity relative to network and desktop computer support. Automated Office Systems Support (AOSS) Quality Assurance Model More...

Note: This page contains sample records for the topic "transportation total automated" 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

Automation of Treebank Annotation Thorsten Brants and Wojciech Skut  

E-Print Network (OSTI)

Thorsten Brants and Wojciech Skut (1998) Automation of Treebank Annotation. In D.M.W. Powers (ed.) NeMLaP3

422

Automated Demand Response Benefits California Utilities and Commercial...  

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

. U.S. Department of Energy |September 2014 Automated Demand Response Benefits California Utilities and Commercial & Industrial Customers Page 1 Under the American Recovery and...

423

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

A. Barat, D. Watson. Demand Response Spinning ReserveOpen Automated Demand Response Communication Standards:Dynamic Controls for Demand Response in a New Commercial

Piette, Mary Ann

2009-01-01T23:59:59.000Z

424

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

reliability signals for demand response GTA HTTPS HVAC IT kWand Commissioning Automated Demand Response Systems. and Techniques for Demand Response. California Energy

Kiliccote, Sila

2010-01-01T23:59:59.000Z

425

Direct versus Facility Centric Load Control for Automated Demand Response  

E-Print Network (OSTI)

Interoperable Automated Demand Response Infrastructure.and Techniques for Demand Response. LBNL Report 59975. Mayand Communications for Demand Response and Energy Efficiency

Piette, Mary Ann

2010-01-01T23:59:59.000Z

426

UNIVERSITY OF CALIFORNIA, SAN DIEGO Automated Feature Design...  

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

Proc. Proceedings of International Workshop on Structural Health Monitoring, Palo Alto, California. 2013. D.Y. Harvey, M.D. Todd, Automated extraction of damage features...

427

Substation automation systems and IEC 61850: interoperability testing.  

E-Print Network (OSTI)

??Dissertao de mest., Engenharia Electrnica e Telecomunicaes, Faculdade de Cincias e Tecnologia, Univ. do Algarve, 2011 The Substation Automation System (SAS) is the backbone of (more)

Evaristo, Henrique A. Guerreiro Dias

2011-01-01T23:59:59.000Z

428

automated segmentation algorithm: Topics by E-print Network  

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

Tumor Segmentation using two MRI Modalities Mohamed Ben Salah1 , Idanis Diaz1 automated brain tumor segmentation from only two magnetic resonance image modalities. The technique...

429

Towards Automated Story Analysis Using Participatory Harry Halpin  

E-Print Network (OSTI)

Towards Automated Story Analysis Using Participatory Design Harry Halpin Institute University of Edinburgh 2 Buccleuch Place Edinburgh, UK J.Moore@ed.ac.uk Judy Robertson Human Communications

Moore, Johanna D.

430

An automated testing system for telephony software - A case study.  

E-Print Network (OSTI)

??As the complexity of software system increases, delivering quality software successfully becomes an ever more challenging task. Applying automated testing techniques effectively to the software (more)

Zhou, Yingxiang Ingrid

2009-01-01T23:59:59.000Z

431

Global health response more accurate with automated influenza...  

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

Global health response more accurate with automated influenza surveillance Public health officials will be able to determine whether an outbreak of an infectious disease comes from...

432

ITU G.hn Concept and Home Automation  

Science Journals Connector (OSTI)

For long time, many in the buildings industry have been looking for a day when home automation systems would become fully integrated with communication...

Manfred Schneps-Schneppe

2009-01-01T23:59:59.000Z

433

PaR-PaR Laboratory Automation Platform  

Science Journals Connector (OSTI)

Since more time and effort is often required to instruct a robot to perform a new task than the robot saves a researcher by performing the task, researchers can only effectively automate a small fraction of their workflows. ... As the biological design/implementation process becomes increasingly software-automated,(10-26) achieving this ideal will become increasingly important so that researchers across laboratories with different robotics platforms can all benefit from design automation software innovations. ... By automating the design of DNA fabrication schemes using computational algorithms, we can eliminate human error while reducing redundant operations, thus minimizing the time and cost required for conducting biol. ...

Gregory Linshiz; Nina Stawski; Sean Poust; Changhao Bi; Jay D. Keasling; Nathan J. Hillson

2012-10-04T23:59:59.000Z

434

Assessment of the Current Level of Automation in the Manufacture...  

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

Assessment of the Current Level of Automation in the Manufacture of Fuel Cell Systems for Combined Heat and Power Applications Michael Ulsh National Renewable Energy Laboratory...

435

Individual differences in the calibration of trust in automation.  

E-Print Network (OSTI)

??A large body of research has identified that one of the major factors influencing decisions about automation use is operator's trust. Studies have shown that (more)

Pop, Vlad Liviu

2013-01-01T23:59:59.000Z

436

Electrically calibrated absolute radiometer suitable for measurement automation  

Science Journals Connector (OSTI)

New electrically calibrated absolute radiometers (ESRs) were developed having fast response and high responsivity; these ESRs are specially useful for measurement automation. They are...

Boivin, Louis-Philippe; McNeely, Francis T

1986-01-01T23:59:59.000Z

437

Lean Automation: Combining Lean with Industrial Robotics in Real Examples.  

E-Print Network (OSTI)

?? The purpose of this report is to analyze whether we can have a better automation manufacturing using lean solutions. First, this report is started (more)

Delkhosh, Ali

2012-01-01T23:59:59.000Z

438

AUTOMATION IN THE MEAT INDUSTRY | Cutting and Boning  

Science Journals Connector (OSTI)

Abstract The strongest incentives for the industry to adopt automation technology for cutting and boning relate to the drive for improved productivity through reduced labor. Also work environment, increased yield and adaptability to a wide range of customer specifications are important drivers. Automation in the pig meat industry has mainly been adopted in regions with high labor costs such as Northern Europe. In New Zealand the ovine meat industry has been progressive in developing and using automation technology. Automation in the beef industry is limited because of the complexity associated with handling of the size and biological variation of the material.

R. Clarke; J.U. Nielsen; N.T. Madsen

2014-01-01T23:59:59.000Z

439

Automation to Support Risk Assessment and Management at DHS  

Science Journals Connector (OSTI)

DHS is pursuing a portfolio of research and development projects known as the Threat Assessment Portfolio, conducting a range of cross-cutting analytic automation research to address...

Dennis, Stephen

440

Examining the Process of Automation Development and Deployment.  

E-Print Network (OSTI)

??In order to develop a better understanding of the process of development and deployment of automated systems, this thesis examines aspects of project execution and (more)

Barsalou, Edward

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "transportation total automated" 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

Fully Automated Radiation Hardened by Design Circuit Construction.  

E-Print Network (OSTI)

??A fully automated logic design methodology for radiation hardened by design (RHBD) high speed logic using fine grained triple modular redundancy (TMR) is presented. The (more)

Hindman, Nathan David

2012-01-01T23:59:59.000Z

442

Automation of Nested Matrix and Derivative Operations Robert Kalaba  

E-Print Network (OSTI)

Automation of Nested Matrix and Derivative Operations Robert Kalaba Departments of Electrical of expressions involving nested matrix and derivative operations. The need to differentiate such expressions

Tesfatsion, Leigh

443

SATURATED ZONE FLOW AND TRANSPORT MODEL ABSTRACTION  

SciTech Connect

The purpose of the saturated zone (SZ) flow and transport model abstraction task is to provide radionuclide-transport simulation results for use in the total system performance assessment (TSPA) for license application (LA) calculations. This task includes assessment of uncertainty in parameters that pertain to both groundwater flow and radionuclide transport in the models used for this purpose. This model report documents the following: (1) The SZ transport abstraction model, which consists of a set of radionuclide breakthrough curves at the accessible environment for use in the TSPA-LA simulations of radionuclide releases into the biosphere. These radionuclide breakthrough curves contain information on radionuclide-transport times through the SZ. (2) The SZ one-dimensional (I-D) transport model, which is incorporated in the TSPA-LA model to simulate the transport, decay, and ingrowth of radionuclide decay chains in the SZ. (3) The analysis of uncertainty in groundwater-flow and radionuclide-transport input parameters for the SZ transport abstraction model and the SZ 1-D transport model. (4) The analysis of the background concentration of alpha-emitting species in the groundwater of the SZ.

B.W. ARNOLD

2004-10-27T23:59:59.000Z

444

IEEE Transactions on Automation Science and Engineering Compensation of Scanner Creep and Hysteresis  

E-Print Network (OSTI)

IEEE Transactions on Automation Science and Engineering Compensation of Scanner Creep uncertainties associated with creep and hysteresis, and supports automated, computer-controlled manipulation) and by automation, which bypasses the time- consuming

Southern California, University of

445

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

446

Solar total energy project Shenandoah  

SciTech Connect

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

447

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

448

From automation to tangible interactive objects  

Science Journals Connector (OSTI)

Abstract Automation led to many innovations for a long time, most of them were developed during the twentieth century. It was commonly thought as a layer on top of a mechanical system. It promoted system management over low-level control. The more information technology evolves, the more it takes a fundamental part in our lives. This article describes a paradigm shift where automation will no longer be an add-on, and where software supports the definition, implementation and operationalization of functions and structures of products from the beginning of the design process. Any design today starts by using computer-aided design tools that enable us to easily draw, modify and fine-tune any kind of system. We can fully develop an airplane and literally fly it as a complex piece of software. Usability and usefulness can be tested before anything physical is built. Consequently, human-centered design (HCD) is now not only feasible but also can drive the overall engineering of products. We have started to design products from outside in, i.e., from usages and purposes to means. We even can 3D print mechanical parts from the software-designed parts with ease. In humancomputer interaction, specific research efforts are carried out on tangible objects, which define this inverted view of automation. We now design and develop by using information technology to do mechanical things, and therefore redefine the essence of a new kind of cognitive mechanical engineering. This article is about the revolution that is currently happening in engineering and industrial design due to the immersive influence of computers in our everyday life, and the expansion of HCD.

Guy Andr Boy

2014-01-01T23:59:59.000Z

449

Transportation Security | ornl.gov  

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

Transportation Security SHARE Global Threat Reduction Initiative Transportation Security Cooperation Secure Transport Operations (STOP) Box Security of radioactive material while...

450

Transportation Security | Department of Energy  

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

Transportation Security Transportation Security Transportation Security More Documents & Publications Overview for Newcomers West Valley Demonstration Project Low-Level Waste...

451

An automated vacuum gauge calibration system  

SciTech Connect

An automated system for calibrating vacuum gauges over the pressure range of 10{sup {minus}6} to 0.1 Pa was designed and constructed at the National Institute of Standards and Technology (NIST) for the Department of Energy (DOE) Primary Standards Laboratory at Sandia National Laboratories (SNL). Calculable pressures are generated by passing a known flow of gas through an orifice of known conductance. The orifice conductance is derived from dimensional measurements and accurate flows are generated using metal capillary leaks. The expanded uncertainty (k = 2) in the generated pressure is estimated to be between 1% and 4% over the calibration range. The design, calibration results. and component uncertainties will be discussed.

Abbott, P.J. [NIST, GAithersburg, MD (United States); Benner, M.S. [Sandia National Labs., Albuquerque, NM (United States)

1998-04-01T23:59:59.000Z

452

Automated Knowledge Annotation for Dynamic Collaborative Environments  

SciTech Connect

This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable automated knowledge annotation for modeling and simulation projects. This framework can be used to capture evidence (e.g., facts extracted from journal articles and government reports), discover new evidence (from similar peer-reviewed material as well as social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks.

Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

2009-05-19T23:59:59.000Z

453

Automated inspection of hot steel slabs  

DOE Patents (OSTI)

The disclosure relates to a real time digital image enhancement system for performing the image enhancement segmentation processing required for a real time automated system for detecting and classifying surface imperfections in hot steel slabs. The system provides for simultaneous execution of edge detection processing and intensity threshold processing in parallel on the same image data produced by a sensor device such as a scanning camera. The results of each process are utilized to validate the results of the other process and a resulting image is generated that contains only corresponding segmentation that is produced by both processes.

Martin, Ronald J. (Burnsville, MN)

1985-01-01T23:59:59.000Z

454

Honeywell Modular Automation System Computer Software Documentation  

SciTech Connect

The purpose of this Computer Software Document (CSWD) is to provide configuration control of the Honeywell Modular Automation System (MAS) in use at the Plutonium Finishing Plant (PFP). This CSWD describes hardware and PFP developed software for control of stabilization furnaces. The Honeywell software can generate configuration reports for the developed control software. These reports are described in the following section and are attached as addendum's. This plan applies to PFP Engineering Manager, Thermal Stabilization Cognizant Engineers, and the Shift Technical Advisors responsible for the Honeywell MAS software/hardware and administration of the Honeywell System.

STUBBS, A.M.

2000-12-04T23:59:59.000Z

455

Fully Automated Calculations in the complex MSSM  

E-Print Network (OSTI)

We review recent progress towards automated higher-order calculations in the MSSM with complex parameters (cMSSM). The consistent renormalization of all relevant sectors of the cMSSM and the inclusion into the FeynArts/FormCalc framework has recently been completed. Some example calculations applying this framework are briefly discussed. These include two-loop corrections to cMSSM Higgs boson masses as well as partial decay widths of electroweak supersymmetric particles decaying into a Higgs boson and another supersymmetric particle.

Hahn, T; von der Pahlen, F; Rzehak, H; Schappacher, C

2014-01-01T23:59:59.000Z

456

Fully Automated Calculations in the complex MSSM  

E-Print Network (OSTI)

We review recent progress towards automated higher-order calculations in the MSSM with complex parameters (cMSSM). The consistent renormalization of all relevant sectors of the cMSSM and the inclusion into the FeynArts/FormCalc framework has recently been completed. Some example calculations applying this framework are briefly discussed. These include two-loop corrections to cMSSM Higgs boson masses as well as partial decay widths of electroweak supersymmetric particles decaying into a Higgs boson and another supersymmetric particle.

T. Hahn; S. Heinemeyer; F. von der Pahlen; H. Rzehak; C. Schappacher

2014-07-01T23:59:59.000Z

457

Automating the POWHEG method in Sherpa  

E-Print Network (OSTI)

A new implementation of the POWHEG method into the Monte-Carlo event generator Sherpa is presented, focusing on processes with a simple colour structure. Results for a variety of processes, namely e+e- to hadrons, deep-inelastic lepton-nucleon scattering, hadroproduction of single vector bosons and of vector boson pairs as well as the production of Higgs bosons in gluon fusion serve as test cases for the successful realisation. The algorithm is fully automated such that for further processes only virtual matrix elements need to be included.

Stefan Hoeche; Frank Krauss; Marek Schonherr; Frank Siegert

2010-08-31T23:59:59.000Z

458

Automation of one-loop QCD corrections  

E-Print Network (OSTI)

We present the complete automation of the computation of one-loop QCD corrections, including UV renormalization, to an arbitrary scattering process in the Standard Model. This is achieved by embedding the OPP integrand reduction technique, as implemented in CutTools, into the MadGraph framework. By interfacing the tool so constructed, which we dub MadLoop, with MadFKS, the fully automatic computation of any infrared-safe observable at the next-to-leading order in QCD is attained. We demonstrate the flexibility and the reach of our method by calculating the production rates for a variety of processes at the 7 TeV LHC.

Valentin Hirschi; Rikkert Frederix; Stefano Frixione; Maria Vittoria Garzelli; Fabio Maltoni; Roberto Pittau

2011-03-03T23:59:59.000Z

459

Automated macromolecular crystal detection system and method  

DOE Patents (OSTI)

An automated macromolecular method and system for detecting crystals in two-dimensional images, such as light microscopy images obtained from an array of crystallization screens. Edges are detected from the images by identifying local maxima of a phase congruency-based function associated with each image. The detected edges are segmented into discrete line segments, which are subsequently geometrically evaluated with respect to each other to identify any crystal-like qualities such as, for example, parallel lines, facing each other, similarity in length, and relative proximity. And from the evaluation a determination is made as to whether crystals are present in each image.

Christian, Allen T. (Tracy, CA); Segelke, Brent (San Ramon, CA); Rupp, Bernard (Livermore, CA); Toppani, Dominique (Fontainebleau, FR)

2007-06-05T23:59:59.000Z

460

Evaluatoni of Automated Utility Bill Calibration Methods  

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

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Evaluation of Automated Utility Bill Calibration Methods BA Technical Update Meeting Ben Polly, Joe Robertson 04/30/13 Utility Bill Calibration * "Calibrate" or "true-up" building energy models to utility bill data to increase the accuracy of retrofit savings predictions * Calibration methods typically involve adjusting input parameters * Predict retrofit savings using the adjusted (calibrated) model 2 Background: BESTEST-EX * BESTEST-EX is a suite for testing calibration methods and retrofit savings predictions associated with audit software * Field trials showed that:

Note: This page contains sample records for the topic "transportation total automated" 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

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:

462

Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR  

E-Print Network (OSTI)

2009. Open Automated Demand Response Communications2010. Open Automated Demand Response Technologies forenergy efficiency and demand response: Framework concepts

Kim, Joyce Jihyun

2014-01-01T23:59:59.000Z

463

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

464

E-Print Network 3.0 - automated software packages Sample Search...  

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

and Michele Lanza Summary: is providing a way to automate the package characterization process. To ad- dress this challenge, we propose... that automate the package patterns...

465

E-Print Network 3.0 - automated quantitative analysis Sample...  

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

as they gather critical information, and explores the use of automation to increase the efficiency... organizations automate reporting and measurement to improve project, program...

466

E-Print Network 3.0 - automated sequential tilt-series Sample...  

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

Integration of Stored and Real-time Information Automating COA... eCOA Evaluation Automated Scenario Generation Generic EBO Modeling Capability EBO Simulation...

467

E-Print Network 3.0 - automated sequence analysis Sample Search...  

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

Integration of Stored and Real-time Information Automating COA... eCOA Evaluation Automated Scenario Generation Generic EBO Modeling Capability EBO Simulation...

468

E-Print Network 3.0 - automated structure evaluation Sample Search...  

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

Integration of Stored and Real-time Information Automating COA... eCOA Evaluation Automated Scenario Generation Generic EBO Modeling Capability EBO Simulation...

469

E-Print Network 3.0 - automated sample preparation Sample Search...  

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

Technologies and Information Sciences ; Engineering ; Mathematics 50 THE RABIT: A RAPID AUTOMATED BIODOSIMETRY TOOL FOR RADIOLOGICAL TRIAGE Summary: automated, from the...

470

E-Print Network 3.0 - automated systems based Sample Search Results  

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

automation and human tasks in complex systems. The methodology will be based on formal modeling, simulation... design of complex systems, including design of the automation and...

471

Design and Implementation of an Open, Interoperable Automated Demand Response Infrastructure  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities. CEC-Fully Automated Demand Response Tests in Large Facilities.Management and Demand Response in Commercial Building. ,

Piette, Mary Ann; Kiliccote, Sila; Ghatikar, Girish

2008-01-01T23:59:59.000Z

472

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

Standardized Automated Demand Response Signals. Presented atand Automated Demand Response in Industrial RefrigeratedActions for Industrial Demand Response in California. LBNL-

Mares, K.C.

2010-01-01T23:59:59.000Z

473

The Study of Substation Automation Remote Communication for Multi-granularity Access Control System  

Science Journals Connector (OSTI)

This paper based on the demands of access control of substation automation system, analyzed two operation objects of ... can fulfill the needs of access control in substation automation.

Lichun Shi; Haimei Xiao

2012-01-01T23:59:59.000Z

474

E-Print Network 3.0 - automating information extraction Sample...  

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

Automated Service Quality: A Confirmatory Factor Analysis Approach Mohammed Al... -Hawari, Nicole Hartley and Tony Ward Automated service quality has been recognised as the...

475

E-Print Network 3.0 - automated information extraction Sample...  

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

Automated Service Quality: A Confirmatory Factor Analysis Approach Mohammed Al... -Hawari, Nicole Hartley and Tony Ward Automated service quality has been recognised as the...

476

E-Print Network 3.0 - automated contract time Sample Search Results  

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

Contracts with Myopic and Strategic Agents Summary: order basis by automated contracting. Such automationcan save labor time of human negotiators... In automated...

477

E-Print Network 3.0 - automated test system Sample Search Results  

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

Powered by Explorit Topic List Advanced Search Sample search results for: automated test system Page: << < 1 2 3 4 5 > >> 1 Automated Software System Analysis and Testing...

478

E-Print Network 3.0 - automated white-matter tractography Sample...  

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

Summary: diffusion coefficient (ADC). 2) Automated or semi-automated methods for whole brain tractography where seed... of white matter abnormality. 6) Integration of functional...

479

E-Print Network 3.0 - automated optical inspection Sample Search...  

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

TOPICS IN QUANTUM ELECTRONICS, VOL. 10, NO. 3, MAYJUNE 2004 445 Model-Based Optoelectronic Packaging Automation Summary: , photonic automation. I. INTRODUCTION THE current...

480

E-Print Network 3.0 - automated critical peak Sample Search Results  

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

TOPICS IN QUANTUM ELECTRONICS, VOL. 10, NO. 3, MAYJUNE 2004 445 Model-Based Optoelectronic Packaging Automation Summary: increase the speed of the automation process, a...

Note: This page contains sample records for the topic "transportation total automated" 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

E-Print Network 3.0 - automated pre-ejection period Sample Search...  

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

activity is focused on automated approaches to security. With these approaches, security decisions... automation is potentially beneficial in theory, in practice it is not a...

482

E-Print Network 3.0 - automated aircraft conflict Sample Search...  

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

Automation System ... Source: NASA - Center-TRACTION Automation System (CTAS) Collection: Energy Storage, Conversion and Utilization 2 Eighth USAEurope Air Traffic Management...

483

Department of Mechanical and Nuclear Engineering Spring 2011 Wind Tunnel Automation Project  

E-Print Network (OSTI)

PENNSTATE Department of Mechanical and Nuclear Engineering Spring 2011 Wind Tunnel Automation Project Phase II - Automated Bike Turret Mount Overview SYNERGE LLC is a consulting company working

Demirel, Melik C.

484

An Extended Process Automation System: An Approach Based on a Multi-Agent System.  

E-Print Network (OSTI)

??This thesis describes studies on application of multi-agent systems (acronym: MAS) to enhance process automation systems. A specification of an extended process automation system is (more)

Seilonen, Ilkka

2006-01-01T23:59:59.000Z

485

PROCESS AUTOMATION CRITERIA IDENTIFICATION AND SELECTION: A CASE STUDY IN A PAYROLL COMPANY.  

E-Print Network (OSTI)

??This research is intended to provide insights to managers making decisions on automation. With the objective of investigating criteria for business process automation, the research (more)

Yi, Fuyu

2009-01-01T23:59:59.000Z

486

E-Print Network 3.0 - automating instructional design Sample...  

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

for Automated Generation of Assembly Instructions Summary: for the creation and automation of visual instructions. Designing effective instructions for everyday products... of...

487

E-Print Network 3.0 - automated paging system Sample Search Results  

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

which ensue. In an adaptive system, by contrast, the flexibility in information or automation behavior... and performance automation subsystems in an adaptive system, but which...

488

An extended process automation system : an approach based on a multi-agent system.  

E-Print Network (OSTI)

??This thesis describes studies on application of multi-agent systems (acronym: MAS) to enhance process automation systems. A specification of an extended process automation system is (more)

Seilonen, Ilkka

2006-01-01T23:59:59.000Z

489

E-Print Network 3.0 - automated knowledge discovery Sample Search...  

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

Principles of Automated Theorem... proving, Wiley (1991) W.BIBEL, Deduction, Automated Logic, Academic press (1993) ... Source: Pastre, Dominique - UFR de Mathmatiques et...

490

E-Print Network 3.0 - automated service composition Sample Search...  

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

satisfaction of Summary: -driven tool for experiment automation (Weevil) Designing a web service composition to evaluate... UROP 2010 Automated Services Management over...

491

Strategic Freight Transportation Contract Procurement  

E-Print Network (OSTI)

Based Procurement for Transportation Services, Journal ofCoia, A. , Evolving transportation exchanges, World trade,an Auction Based Transportation Marketplace, Transportation

Nandiraju, Srinivas

2006-01-01T23:59:59.000Z

492

"Educating transportation professionals."  

E-Print Network (OSTI)

"Educating transportation professionals." Michael Demetsky Henry L. Kinnier Professor mjd of Virginia Charlottesville, VA 434.924.7464 Transportation Engineering & Management Research Our group works closely with the Virginia Center for Transportation Innovation and Research (VCTIR), located

Acton, Scott

493

HIGHER-ORDER MODELING AND AUTOMATED DESIGN-SPACE EXPLORATION  

E-Print Network (OSTI)

the second requires the exis- tence of an automated process for design space exploration. There are many waysHIGHER-ORDER MODELING AND AUTOMATED DESIGN-SPACE EXPLORATION J¨orn W. Janneck EECS Department exploration, exploratory simula- tion, performance evaluation, higher-order models ABSTRACT An important part

Esser, Robert

494

Automated Stellar Spectral Classification and Parameterization for the Masses  

E-Print Network (OSTI)

Stellar spectroscopic classification has been successfully automated by a number of groups. Automated classification and parameterization work best when applied to a homogeneous data set, and thus these techniques primarily have been developed for and applied to large surveys. While most ongoing large spectroscopic surveys target extragalactic objects, many stellar spectra have been and will be obtained. We briefly summarize past work on automated classification and parameterization, with emphasis on the work done in our group. Accurate automated classification in the spectral type domain and parameterization in the temperature domain have been relatively easy. Automated parameterization in the metallicity domain, formally outside the MK system, has also been effective. Due to the subtle effects on the spectrum, automated classification in the luminosity domain has been somewhat more difficult, but still successful. In order to extend the use of automated techniques beyond a few surveys, we present our current efforts at building a web-based automated stellar spectroscopic classification and parameterization machine. Our proposed machinery would provide users with MK classifications as well as the astrophysical parameters of effective temperature, surface gravity, mean abundance, abundance anomalies, and microturbulence.

Ted von Hippel; Carlos Allende Prieto; Chris Sneden

2002-08-08T23:59:59.000Z

495

16.459 Humans & Automation Seminar February 6, 2002  

E-Print Network (OSTI)

simulations Automated bank teller system design ACT-R Modeling problem solving and learning Various problem ­ To provide rapid prototype simulator to examine human operator performance as a function of human interface16.459 Humans & Automation Seminar February 6, 2002 Miwa Hayashi #12;!Human-Machine System Design

Goldwasser, Shafi

496

Gender-Sensitive Automated Negotiators Ron Katz and Sarit Kraus  

E-Print Network (OSTI)

Gender-Sensitive Automated Negotiators Ron Katz and Sarit Kraus Department of Computer Science This paper introduces an innovative approach for automated negotiating using the gender of human opponents, and models the typical behavior of males and of females. The two models are used in order to match an optimal

Kraus, Sarit

497

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways #  

E-Print Network (OSTI)

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways # Alain Girault a a Inria the problem of the hybrid control of autonomous vehicles driving on automated highways. Vehicles of their merging lane. Finally, we show the outcome of a highway microsimulation modelled after the Katy Corridor

Girault, Alain

498

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways  

E-Print Network (OSTI)

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways Alain Girault a aInria Rh of the hybrid control of autonomous vehicles driving on automated highways. Vehicles are autonomous, so they do. Finally, we show the outcome of a highway microsimulation modelled after the Katy Corridor near Houston

Girault, Alain

499

Design and Control of a Fully Automated Vehicle door  

E-Print Network (OSTI)

The objective of the research was to develop a fully automated vehicle car door that can detect any object obstructing its path during operation. A fully automated door concept has not yet been implemented in the car industry. The door, operated via...

Hong, Kyung-Min

2010-07-14T23:59:59.000Z

500

Fast Automated Demand Response to Enable the Integration of Renewable  

E-Print Network (OSTI)

LBNL-5555E Fast Automated Demand Response to Enable the Integration of Renewable Resources David S The work described in this report was coordinated by the Demand Response Research Center and funded ABSTRACT This study examines how fast automated demand response (AutoDR) can help mitigate grid balancing