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1

"2012 Total Electric Industry- Customers"  

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

Customers" Customers" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",6203726,842773,34164,5,7080668 "Connecticut",1454651,150435,4647,2,1609735 "Maine",703770,89048,2780,0,795598 "Massachusetts",2699141,389272,21145,2,3109560 "New Hampshire",601697,104978,3444,0,710119 "Rhode Island",435448,57824,1927,1,495200 "Vermont",309019,51216,221,0,360456 "Middle Atlantic",15727423,2215961,45836,26,17989246 "New Jersey",3455302,489943,12729,6,3957980 "New York",7010740,1038268,8144,6,8057158

2

Energy, Power Quality, and Customer Load Efficiency Optimization and Total Energy  

Science Conference Proceedings (OSTI)

Using this report's worksheets and procedures, utilities can evaluate a wide range of common end-user productivity and power quality concerns that lead to new customer services and sales initiatives.

2002-02-14T23:59:59.000Z

3

"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"

4

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

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

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

5

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

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

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

6

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

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

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

7

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

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

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

8

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

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

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

9

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

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

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

10

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

Gasoline and Diesel Fuel Update (EIA)

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

11

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

12

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

13

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

14

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

15

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

16

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

17

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

18

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

19

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

20

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

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


21

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

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

22

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

23

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

24

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

25

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

26

DSW customers  

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

Customer Meetings Environmental Review-NEPA Operations & Maintenance Planning & Projects Power Marketing Rates Customer Meetings Environmental Review-NEPA Operations & Maintenance Planning & Projects Power Marketing Rates Desert Southwest Region's Customer list Use the filters above the customer list to refine your search. Click the "Clear" to reset the list. Western's full list of customers is available on the Western's Customer Web page. Customer Name Customer Type State Region Project Agua Caliente Band of Cahuilla Indians Native American Tribes CA DSW PD Aguila Irrigation District Irrigation Districts AZ DSW CAP Anaheim, City of Municipalities CA DSW BC Arizona Power Authority State Agencies AZ DSW BC Arizona Public Service Company Investor-owned Utilities AZ DSW CAP Azusa, City of Municipalities CA DSW BC Banning, City of Municipalities CA DSW BC

27

CRSP Customers  

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

Colorado River Storage Project Management Center's Customer list Colorado River Storage Project Management Center's Customer list Use the filters above the customer list to refine your search. Click the "Clear" to reset the list. Western's full list of customers is available on the Western's Customer Web page. Customer Name Customer Type State Region Project Acoma Pueblo Native American Tribes NM CRSP SLIP Aggregated Energy Services Cooperatives AZ CRSP SLIP AK-Chin Indian Community Native American Tribes AZ CRSP SLIP Alamo Navajo Chapter Native American Tribes NM CRSP SLIP Albuquerque Operation-DOE Federal Agencies NM CRSP SLIP Arizona Electric Power Cooperative Cooperatives AZ CRSP/DSW SLIP/PD Aspen, City of Municipalities CO CRSP SLIP Aztec, City of Municipalities NM CRSP SLIP

28

International Customers  

Science Conference Proceedings (OSTI)

... 2. A description of the purpose (a general description of the goods/services for which the customer is paying). 3. Transfer ...

2013-07-19T23:59:59.000Z

29

Grammar Customization  

Science Conference Proceedings (OSTI)

This paper presents the LinGO Grammar Matrix grammar customization system, a web-based service which elicits typological descriptions of languages and outputs customized grammar fragments which are ready for sustained development into broad-coverage ... Keywords: Grammar engineering, HPSG, Syntax, Typology

Emily M. Bender; Scott Drellishak; Antske Fokkens; Laurie Poulson; Safiyyah Saleem

2010-03-01T23:59:59.000Z

30

Ultimate Biofuels LLC | Open Energy Information  

Open Energy Info (EERE)

Ultimate Biofuels LLC Jump to: navigation, search Name Ultimate Biofuels LLC Place Ann Arbor, Michigan Zip 48108 Product Plans to develop sweet sorghum based ethanol plants....

31

Residential Customer Response to Real-time Pricing: The Anaheim Critical Peak Pricing Experiment  

E-Print Network (OSTI)

the need for a large number customers on the CPP program inthey received. A number of customers received total rebatescustomers. There are a number of customers that received

Wolak, Frank A.

2007-01-01T23:59:59.000Z

32

"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"

33

"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"

34

Advanced Billing and Customer Specification Requirements  

Science Conference Proceedings (OSTI)

The ability to bill and serve customers well will be key to whether an energy company ultimately succeeds in the emerging retail marketplace. This document provides the essential planning and implementation framework needed by an energy company to reconstruct its back-office to meet these objectives.

1997-09-24T23:59:59.000Z

35

ORDER TOTAL FOR ALL PAGES: CUSTOMER DETAILS  

E-Print Network (OSTI)

2.80£ -£ Dishwash Tablets - sml , Ecover, 25x20g 5.35£ -£ Natural Eucalyptus Disinfectant , Bio - D, 1l 2.70£ -£ Dishwash Rinse Aid , Ecover, 500ml 3.50£ -£ Toilet Cleaner - with nozzle , Bio - D, 750

36

SNR Customer Meetings  

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

Rates You are here: SN Home page > SNR Customer Meetings SNR Customer Meetings 12011 SNR Transmission Customer Meeting 9 am to 10 am Lake Natoma Inn 702 Gold Lake Drive, Folsom,...

37

Learning Feature Weights from Customer Return-Set Selections  

E-Print Network (OSTI)

This paper describes LCW, a procedure for learning customer preferences represented as feature weights by observing customers' selections from return sets. An empirical evaluation on simulated customer behavior indicated that uninformed hypotheses about customer weights lead to low ranking accuracy unless customers place some importance on almost all features or the total number of features is quite small. In contrast, LCW's estimate of the mean preferences of a customer population improved as the number of customers increased, even for larger numbers of features of widely differing importance. This improvement in the estimate of mean customer preferences led to improved prediction of individual customer's rankings, irrespective of the extent of variation among customers and whether a single or multiple retrievals were permitted. The experimental results suggest that the return set that optimizes benefit may be smaller for customer populations with little variation than for customer populations with wide variation.

L. Karl Branting

2004-01-01T23:59:59.000Z

38

APPA Customer Connections Conference  

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

The Customer Connections Conference is APPA's annual meeting for utility professionals in the areas of:

39

Graphene as the Ultimate Membrane for Gas Separation Project...  

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

Graphene as the Ultimate Membrane for Gas Separation Graphene as the Ultimate Membrane for Gas Separation GraphenePore.jpg Key Challenges: Investigate the permeability and...

40

Category:Smart Grid Projects - Customer Systems | Open Energy...  

Open Energy Info (EERE)

Smart Grid Projects - Customer Systems category. Pages in category "Smart Grid Projects - Customer Systems" The following 5 pages are in this category, out of 5 total. C City of...

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


41

The ultimate disposition of depleted uranium  

SciTech Connect

Significant amounts of the depleted uranium (DU) created by past uranium enrichment activities have been sold, disposed of commercially, or utilized by defense programs. In recent years, however, the demand for DU has become quite small compared to quantities available, and within the US Department of Energy (DOE) there is concern for any risks and/or cost liabilities that might be associated with the ever-growing inventory of this material. As a result, Martin Marietta Energy Systems, Inc. (Energy Systems), was asked to review options and to develop a comprehensive plan for inventory management and the ultimate disposition of DU accumulated at the gaseous diffusion plants (GDPs). An Energy Systems task team, under the chairmanship of T. R. Lemons, was formed in late 1989 to provide advice and guidance for this task. This report reviews options and recommends actions and objectives in the management of working inventories of partially depleted feed (PDF) materials and for the ultimate disposition of fully depleted uranium (FDU). Actions that should be considered are as follows. (1) Inspect UF{sub 6} cylinders on a semiannual basis. (2) Upgrade cylinder maintenance and storage yards. (3) Convert FDU to U{sub 3}O{sub 8} for long-term storage or disposal. This will include provisions for partial recovery of costs to offset those associated with DU inventory management and the ultimate disposal of FDU. Another recommendation is to drop the term tails'' in favor of depleted uranium'' or DU'' because the tails'' label implies that it is waste.'' 13 refs.

Not Available

1990-12-01T23:59:59.000Z

42

Reconsidering custom memory allocation  

Science Conference Proceedings (OSTI)

Programmers hoping to achieve performance improvements often use custom memory allocators. This in-depth study examines eight applications that use custom allocators. Surprisingly, for six of these applications, a state-of-the-art general-purpose allocator ...

Emery D. Berger; Benjamin G. Zorn; Kathryn S. McKinley

2002-11-01T23:59:59.000Z

43

Customers in UGP  

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

Upper Great Plains Region's Customer list Upper Great Plains Region's Customer list Use the filters above the customer list to refine your search. Click the "Clear" to reset the list. Western's full list of customers is available on the Western's Customer Web page. Customer Name Customer Type State Region Project Aberdeen, City of Municipalities SD UGP PS Ada, City of Municipalities MN UGP PS Adrian, City of Municipalities MN UGP PS Agralite Electric Cooperative Cooperatives MN UGP PS Akron, City of Municipalities IA UGP PS Alexandria, City of Municipalities MN UGP PS Alliant Energy Services, Inc. Investor-owned Utilities WI UGP PS Alta, City of Municipalities IA UGP PS Alton, City of Municipalities IA UGP PS American Electric Power Service Corporation Power Marketers OH UGP PS

44

Rocky Mountain Customers  

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

RM Home About RM Contact RM Customers Environmental Review-NEPA Operations & Maintenance Planning & Projects Power Marketing Rates Rocky Mountain Region's Customer list Use the filters above the customer list to refine your search. Click the "Clear" to reset the list. Western's full list of customers is available on the Western's Customer Web page. Customer Name Customer Type State Region Project Arapahoe and Roosevelt National Forests Federal Agencies CO RM LAP Arkansas River Power Authority Municipalities CO RM/CRSP LAP/SLIP Burlington, City of Municipalities CO RM LAP Cheyenne Mountain Air Force Base Federal Agencies CO RM LAP Clay Center, City of Municipalities KS RM LAP Denver Water Board Municipalities CO RM LAP

45

Jefferson Lab Science Series - The Ultimate Speed  

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

Higgs Boson and Our Life Higgs Boson and Our Life Previous Video (The Higgs Boson and Our Life) Science Series Video Archive Next Video (What Is CEBAF All About?) What Is CEBAF All About? The Ultimate Speed Dr. William Bertozzi - Massachusetts Institute of Technology Sometime in 1962 In his youth, Dr. William Bertozzi, an MIT professor who has long been a leader in experimental nuclear physics using beams of electrons, carried out an experiment in which he explored the relationship between the velocity of electrons and their kinetic energy by measurements over a range of accelerating voltages between 0.5 MeV and 15 MeV. The kinetic energy is measured using calorimetry and the velocity is measured by time-of-flight. This educational film, made in 1962, documents the experiment and shows

46

No way to cool the ultimate greenhouse  

SciTech Connect

When the Clinton Administration announced its Climate Change Action Plan last week, some press accounts called it an effort to halt greenhouse warming. To greenhouse experts, however, cutting emissions of greenhouse gases to 1990 levels by the end of the decade -- the goal of the plan -- will only delay the inevitable. Such modest conservation measures, as a recent study shows, will buy humanity valuable time to adapt to the greenhouse world, but they will have little effect on how warm the global climate ultimately becomes. Centuries down the road, humanity will have to come to grips with elevated temperatures due to increased atmospheric CO[sub 2] levels. Reducing emissions will slow the warming process and give humanity more time to adapt.

Kerr, R.A.

1993-10-29T23:59:59.000Z

47

Who/where are my new customers? Salvatore Rinzivillo and Salvatore Ruggieri  

E-Print Network (OSTI)

. The average number of customers in the selected branches ranges from 14.500 to 21.500 per year. Data were the previous year, and of occasional customers, namely new customers seen only in a year. The number of new cell is labeled with the ratio of the number of new customers over the total number of customers

Ruggieri, Salvatore

48

CERTS customer adoption model  

E-Print Network (OSTI)

demand is 457 kW, and the baseload is 167 kW). Load (week)generation tends to fill a baseload role, and the customers

Rubio, F. Javier; Siddiqui, Afzal S.; Marnay, Chris; Hamachi, Kristina S.

2000-01-01T23:59:59.000Z

49

Number of Marketers Serving Residential Customers, December 2002  

U.S. Energy Information Administration (EIA)

Number of Marketers Serving Residential Customers, December 2002. State/District *Total Marketers ... Gives number of marketers but no names: Georgia: 10: 10:

50

Capstone Project-Design and Implementation of a Customer Driven Microgrid Satish J. Ranade and Joydeep Mitra  

E-Print Network (OSTI)

Capstone Project- Design and Implementation of a Customer Driven Microgrid Satish J. Ranade and subsystem designs that ultimately result in the construction and operation of a microgrid. Background: A microgrid customer-driven microgrid consists of small generation sources and storage installed by customers

Johnson, Eric E.

51

Childhood Customs and Superstitions  

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

Childhood Customs and Superstitions Childhood Customs and Superstitions Nature Bulletin No. 627 February 4, 1961 Forest Preserve District of Cook County Daniel Ryan, President Roberts Mann, Conservation Editor David H. Thompson, Senior Naturalist CHILDHOOD CUSTOMS AND SUPERSTITIONS In all the world there remains only one large tribe of savages which shows no signs of dying out or becoming civilized. These people have a language of their own; they practice magic; and they follow weird customs which have come down by word of mouth from the far-off past. Actually they are only part-time savages because, most of the time, these are our sons and daughters or our grandchildren who go to school, live in our homes, wash behind their ears, and seem to be civilized. The strangest thing about them is their ability to shift personalities right in front of your eyes.

52

Custom Renewable Energy Projects  

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

Energy Trust of Oregon offers cash incentives and project development assistance for renewable energy projects that are 20 megawatts (MW) or less in capacity. These custom incentives are part of...

53

Control of Customer Property  

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

Report of Lost, Damaged, Destroyed or Stolen (RLDDS) Property, MGTP-005 EOTA Inventory Process, MGTP-006 for control of EOTA issued key(s) MGTP-003 Control of Customer...

54

Understanding Electric Utility Customers  

Science Conference Proceedings (OSTI)

How customers use and value electricity has been a subject of study and debate for many decades. A better understanding of how customers use electricity could help the industry find ways to improve energy efficiency, thereby helping to reduce green house gas emissions, increase energy sustainability, and improve overall growth in the economy. In addition, our ability to encourage more efficient consumption through real-time feedback, control technology, and pricing is better and less costly than it has e...

2012-02-07T23:59:59.000Z

55

Regulation, customer protection and customer engagement  

E-Print Network (OSTI)

customers. The FPCs successor body, the Federal Energy Regulatory Commission (FERC), continued this policy. By 1980 settlements were reached in approximately two-thirds of all electric rate cases there, and in 1986 in over 70% of gas pipeline rate cases... . Presently, no less than 90% of the rate cases at FERC are settled by the participants rather than determined by the Commission through the conventional litigation process. There have been similar developments in some other parts of the US and in Canada...

Littlechild, Stephen

56

Control of Wire Rod Physical Properties Like Ultimate Tensile ...  

Science Conference Proceedings (OSTI)

Sep 1, 2001 ... Control of Wire Rod Physical Properties Like Ultimate Tensile Strength and Elongation by Close Monitoring of Rolling Energy Input

57

Customer Services Handbook, 2010, Office of Administration |...  

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

Customer Services Handbook, 2010, Office of Administration Customer Services Handbook, 2010, Office of Administration Customer Services Handbook Customer Services Handbook, 2010,...

58

Customer Service Plan  

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

Customer Service Plan Department of Energy Customer Service Plan - 2011 1 A Message from the Secretary Over the past two and a half years, the Obama Administration and the Department of Energy have worked to make the federal government more open for the American public and its own employees. Through these efforts, we have significantly expanded the amount and breadth of information available online about our programs and services. We have also transformed the way we communicate with the public by relaunching Energy.gov, making it an interactive, streamlined information platform. In April, President Obama directed federal agencies to take this ongoing effort one step further and establish Customer Service Plans, improving the public's interactions with the

59

NASA Customer Satisfaction Survey  

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

Customer Satisfaction Survey Customer Satisfaction Survey NASA's Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) would like to encourage you to participate in the NASA ESDIS 2013 American Customer Satisfaction Survey. The ORNL DAAC is one of twelve data centers sponsored by NASA's Earth Science Data and Information System (ESDIS) project. The ESDIS project uses the results of this survey to evaluate our success and to determine where improvements are needed. Invitations will be sent to you, our users, from CFI Group [CFI Group on behalf of NASA (NASA@jangomail.com)] during the week of August 20, 2013. Each invitation will reference us as "ORNL DAAC / FLUXNET", and contain a unique secure link to this Web-based anonymous survey. We encourage you to participate!

60

Customer-Focused Deployment  

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

Customer-Focused Customer-Focused Deployment SAM RASHKIN Chief Architect Building Technologies Program February 29, 2012 Building America Meeting 2 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov 'Good Government' As-A-System IECC Code: Mandates technologies and practices proven reliable and cost- effective ENERGY STAR: Recognizes Builders Who Deliver Significantly Above Code Performance Builders Challenge: Recognizes Leading Builders Applying Proven Innovations and Best Practices Building America: Develops New Innovations and Best Practices 3 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov Disseminating Research Results: Building America Resource Tool 4 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market

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


61

National Account Customer Needs  

Science Conference Proceedings (OSTI)

A survey conducted in the mid-1990s explored the communications-based services national account customers desired to support their energy procurement and utilization needs. The new study reported here re-interviewed many participants from the original survey to identify changes in their thinking and practices in the light of their experience over the last 5 to 7 years.

2002-05-17T23:59:59.000Z

62

"2012 Non-Utility Power Producers- Customers"  

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

Customers" Customers" "(Data from form EIA-861U)" ,,,"Number of Customers" "Entity","State","Ownership","Residential","Commercial","Industrial","Transportation","Total" "Riceland Foods Inc.","AR","Non_Utility",".",".",1,".",1 "Constellation Solar Arizona LLC","AZ","Non_Utility",".",".",1,".",1 "FRV SI Transport Solar LP","AZ","Non_Utility",".",1,".",".",1 "MFP Co III, LLC","AZ","Non_Utility",".",1,".",".",1 "RV CSU Power II LLC","AZ","Non_Utility",".",1,".",".",1

63

Customer Communications Architecture Development  

Science Conference Proceedings (OSTI)

This report builds on previous work to develop a tree of requirements metrics (TRM) that represents a detailed dictionary of primitive requirements for applications of the Smart Grid. The initial work was focused primarily, but not exclusively, on advanced metering infrastructure (AMI) systems. This project phase extends this work with some in-depth extraction of additional primitives obtained from the study of distributed energy resources and related subjects. Customer-sited distributed energy resources...

2011-12-20T23:59:59.000Z

64

CERTS customer adoption model  

SciTech Connect

This effort represents a contribution to the wider distributed energy resources (DER) research of the Consortium for Electric Reliability Technology Solutions (CERTS, http://certs.lbl.gov) that is intended to attack and, hopefully, resolve the technical barriers to DER adoption, particularly those that are unlikely to be of high priority to individual equipment vendors. The longer term goal of the Berkeley Lab effort is to guide the wider technical research towards the key technical problems by forecasting some likely patterns of DER adoption. In sharp contrast to traditional electricity utility planning, this work takes a customer-centric approach and focuses on DER adoption decision making at, what we currently think of as, the customer level. This study reports on Berkeley Lab's second year effort (completed in Federal fiscal year 2000, FY00) of a project aimed to anticipate patterns of customer adoption of distributed energy resources (DER). Marnay, et al., 2000 describes the earlier FY99 Berkeley Lab work. The results presented herein are not intended to represent definitive economic analyses of possible DER projects by any means. The paucity of data available and the importance of excluded factors, such as environmental implications, are simply too important to make such an analysis possible at this time. Rather, the work presented represents a demonstration of the current model and an indicator of the potential to conduct more relevant studies in the future.

Rubio, F. Javier; Siddiqui, Afzal S.; Marnay, Chris; Hamachi,Kristina S.

2000-03-01T23:59:59.000Z

65

Analysis of ultimate energy consumption by sector in Islamic republic of Iran  

Science Conference Proceedings (OSTI)

Total ultimate energy consumption in Iran was 1033.32 MBOE in 2006, and increased at an average annual rate of 6% in 1996-2006. Household and commercial sector has been the main consumer sector (418.47 MBOE) and the fastest-growing sector (7.2%) that ... Keywords: Iran, agricultural sector, energy audits, energy consumption, industrial sector, residential and commercial sector, transportation sector

B. Farahmandpour; I. Nasseri; H. Houri Jafari

2008-02-01T23:59:59.000Z

66

Dakota Electric Association - Commercial and Industrial Custom Energy Grant  

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

Dakota Electric Association - Commercial and Industrial Custom Dakota Electric Association - Commercial and Industrial Custom Energy Grant Program Dakota Electric Association - Commercial and Industrial Custom Energy Grant Program < Back Eligibility Commercial Industrial Savings Category Other Maximum Rebate 50% of total project costs and 100,000 annually in grants/rebates per member. Program Info State Minnesota Program Type Utility Grant Program Rebate Amount 50% of total project costs up to 100,000 Provider Dakota Electric Service Dakota Electric's Custom Energy Grant Program is offered for any commercial or industrial customer that installs qualifying energy-efficient products which exceed conventional models and result in a reduction of electric use, when a specific rebate program is not currently available. Any energy

67

Idaho Power - Large Commercial Custom Efficiency Program | Department of  

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

Large Commercial Custom Efficiency Program Large Commercial Custom Efficiency Program Idaho Power - Large Commercial Custom Efficiency Program < Back Eligibility Agricultural Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Commercial and Industrial: 70% of project cost Custom Incentive for Existing Irrigation System Replacement: up to 75% of the total project cost Custom Incentive for a New Irrigation System: up to 10% of the total project cost Program Info Funding Source Conservation Program Funding Charge State Idaho Program Type Utility Rebate Program Rebate Amount Commercial and Industrial: $0.12/kWh saved Agricultural Irrigation Efficiency: $0.25/annual kWh saved or $450/kW

68

The ULTIMATE Tesla Coil Design and Construction Guide, 1 edition  

Science Conference Proceedings (OSTI)

The only book available to cover the Tesla coil in so much detail The Ultimate Tesla Coil Design and Construction Guide is a one-stop reference covering the theory, design tools, and techniques necessary to create the Tesla coil using modern ...

Mitch Tilbury

2007-09-01T23:59:59.000Z

69

SMART LIGHTING SYSTEMS ULTIMATE LIGHTING The Smart Lighting  

E-Print Network (OSTI)

architecture. 1 Introduction Computational Grids are becoming increasingly common, promising ultimately motivate and discuss the global architecture of the project. 2 A Vision of Grid-Empowered Application Service Architecture (OGSA) [?], GridLab's architecture will revolve around 2 #12;the notion of services

Lü, James Jian-Qiang

70

Control of Customer Property  

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

6 EOTA Key Control Process 11_0119.docx1_0119 6 EOTA Key Control Process 11_0119.docx1_0119 Page 1 of 5 EOTA - Business Process Document Title: EOTA Key Control Process Document Number: MGTP-006 Rev. 11_0119 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: MGTP-003 Control of Customer Property Notify of Changes: EOTA Employees Referenced Document(s): MGTF-012 Key Check-Out Form MGTP-006 EOTA Key Control Process 11_0119.docx1_0119 Page 2 of 5 Revision History: Rev. Description of Change 10_0823 Initial Release 11_0119 Modified process to include steps to take if an employee does not return a key. MGTP-006 EOTA Key Control Process 11_0119.docx1_0119 Page 3 of 5 I. Purpose To establish a process for control of all EOTA keys.

71

Using a change-management approach to promote customer-centered design  

Science Conference Proceedings (OSTI)

Future business success is strongly linked to establishing and sustaining a superior customer experience. Through an internal company wide initiative called Total Customer Experience, Hewlett-Packard (HP) has focused on the delivery of ... Keywords: business case, change-management, customer experience, experience design, organizational change, organizational culture, process improvement, product design, tape drive, user experience, user-centered design

Stephen Sato; Andrew Panton

2003-06-01T23:59:59.000Z

72

Functional Requirements for Customer Communications  

Science Conference Proceedings (OSTI)

Customer communications infrastructures could support a wide variety of useful utility operations and industry-wide applications. However, these systems will require a substantial investment, which necessitates viewing customer communications with multiple stakeholders and applications in mind. This report describes the development of requirements for customer interface applications such as revenue metering, communications gateways, and remote equipment operations that can provide the basis for powerful ...

2002-12-18T23:59:59.000Z

73

Teacher Resource Center: Customized Workshops  

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

Customized Workshops Customized Workshops TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources From time to time we receive requests for information about workshops offered through the Fermilab Teacher Resource Center. We have conducted workshops for schools, districts and intermediate service agencies. We work closely with organizers to customize the workshops to their needs—the discussion and collaboration is essential. We receive many requests for

74

Table 20. Coal Imports by Customs District  

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

Coal Imports by Customs District Coal Imports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 20. Coal Imports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Customs District April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Eastern Total 469,878 331,008 156,004 800,886 350,124 128.7 Baltimore, MD - - 106,118 - 154,318 - Boston, MA 373,985 154,438 - 528,423 51,185 NM Buffalo, NY 44 - - 44 - - New York City, NY 1,373 1,402 487 2,775 507 447.3 Norfolk, VA - 68,891 - 68,891 35,856 92.1 Ogdensburg, NY - 1 12 1 12 -91.7 Portland, ME 42,428 44,547 - 86,975 - - Providence, RI 52,028 61,729 49,387 113,757 108,226 5.1 St. Albans, VT 20

75

CERTS customer adoption model  

E-Print Network (OSTI)

77 Figure 114. Mall Low Natural Gas Price Residual Demand (115. Mall Low Natural Gas Price Total Output Generation (79 Figure 116. Mall Low Natural Gas Price Residual Demand (

Rubio, F. Javier; Siddiqui, Afzal S.; Marnay, Chris; Hamachi, Kristina S.

2000-01-01T23:59:59.000Z

76

2013 Customer Meeting Handouts  

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

Tab 1 Rates and Contracts Presentations - Pages 19 - 32 are also found in Tab 1 Rates and Contracts Presentations - Pages 19 - 32 are also found in Tabs 17 and 18 below but were included as one handout at the meeting. The Rates only portion may be found on the previous page in the link labeled '2013 Customer Meeting Rates Presentation' Tab 2-1 - Repayment milestone Tab 2-2 Collbran SOR Tab 2-3 CRSP SOR Tab 2-4 Dolores SOR Tab 2-5 Rio Grande SOR Tab 2-6 Seedskadee SOR Tab 3-1 SLIPF9 Sum Table Tab 3-2 SLIPF9 Tab 3-3 SP-PTP7 Tab 3-4 SP-NW3 Tab 3-5 SP-NFT6 Tab 3-6 SP-SD3 Tab 3-7 SP-RS3 Tab 3-8 SP-EI3 Tab 3-9 SP-FR3 Tab 3-10 SP-SSR3 Tab 4 SLIP PRS Executive Summary Tab 5 SLIP PRS Backup Study Tab 6 - Revenue Requirements Comparison Table Tab 7-1 Average O&M Comparison Tab 7-2 O&M Budget Projections Tab 8-1 Purchase Power Comparison - 2013

77

Estimating Large-Customer Demand Response Market Potential: Integrating Price and Customer Behavior  

E-Print Network (OSTI)

participation, the number of customers enrolling in programsservice (i.e. , the number of customers who do not switch toinformation on the number of customers eligible for their

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

78

A Fuzzy Classification Model for Online Customers  

E-Print Network (OSTI)

Building and maintaining customer loyalty are important issues in electronic business. By providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers, customer loyalty and customer equity can be improved. With conventional marketing programs, groups or segments of customers are typically constituted according to a small number of attributes. Although corresponding data values may be similar for two customers, they may fall into different classes and be treated differently. With the proposed fuzzy classification model, however, customers with similar behavior and qualifying attributes have similar membership functions and therefore similar customer values. The paper illustrates how webshops can be extended by a fuzzy classification model. This allows webshop administrators to improve customer equity, launch loyalty programs, automate mass customization and personalization issues, and refine marketing campaigns to maximize the real value of the customers. Povzetek: Razvit je model za dolo?anje lojalnosti internetnih kupcev. 1

Andreas Meier; Nicolas Werro

2007-01-01T23:59:59.000Z

79

Customer Service Specialist Job Number: 54844874  

E-Print Network (OSTI)

. The credit company is able to link a customer's identification number with 1 A discussion of signatures can: identification numbers for the customer, the customer's credit company, and the merchant; the amount customers' identities. ffl The credit company will not know what customers buy. Security is implemented

Heller, Barbara

80

Understanding Energy Customers' Profitability: EPRI's Customer Portfolio Management System  

Science Conference Proceedings (OSTI)

Anticipating pressure on revenues and earnings as deregulation of electricity markets proceeds, a number of utilities have taken some very high visibility initiatives to strengthen earnings and bolster revenues. As the results of such actions begin to be recognized as indeterminate at best, and as the onset of customer choice has proven that most customers will choose not to leave "their utility" company, perhaps the time has come to refocus industry attention on growing and maximizing the value of the r...

2000-09-27T23:59:59.000Z

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


81

Customer research, customer-driven design, and business strategy in Massively Multiplayer Online Games  

E-Print Network (OSTI)

This thesis is a part of an exploration of how the relationships between the customers of Massively Multiplayer Online Games (MMOGs) shape customer experience, and can be used to diminish customer churn and improve customer ...

Andrivet, Sbastien

2007-01-01T23:59:59.000Z

82

Value Modeling of Customer Satisfaction  

Science Conference Proceedings (OSTI)

This report discusses a topic of central importance in asset management: the development and use of value models. Value models translate corporate goals into operational measures for use in decision making, such as decisions regarding resource allocation, capital investment, and OM budgeting. In particular, this report deals with modeling the value of customer satisfaction and provides practical guidance on how to use information available in utility customer satisfaction studies to develop value models....

2007-07-23T23:59:59.000Z

83

Clean Custom Fuels Inc | Open Energy Information  

Open Energy Info (EERE)

Custom Fuels Inc Jump to: navigation, search Name Clean Custom Fuels Inc Place Brush Prairie,, Washington State Zip 98606 Sector Biofuels, Biomass Product String representation...

84

Deploying Systems Interoperability and Customer Choice within...  

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

Deploying Systems Interoperability and Customer Choice within Smart Grid Title Deploying Systems Interoperability and Customer Choice within Smart Grid Publication Type Conference...

85

MCO Customer Handbook PAGE LEFT INTENTIONALLY BLANK TO OUR CUSTOMERS: Acknowledgement MCO Customer Handbook  

E-Print Network (OSTI)

We hope the Mapping Customer Operations (MCO) Customer Assistance Handbook fits your needs as a handy reference tool to obtain the best possible support from DLA. We have made every effort to ensure the information contained is accurate and current; however we appreciate any and all corrections as well as your feedback. The MCO Customer Handbook is also available at our web site www.dscr.dla.mil/rmf. From there, follow the link to Customer Assistance Handbook. We would like to recognize the many contributors and supporters of this handbook, each of whom played an integral role in developing and maintaining this resource. We are grateful and hope their efforts provide you the best insight into the mapping supply chain process. Thank you!

unknown authors

2006-01-01T23:59:59.000Z

86

Spotlight on Michigan: Sweeping the State for Ultimate Success  

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

2011 Version 2 2011 Version 2 betterbuildings.energy.gov/neighborhoods Spotlight on Michigan: Sweeping the State for Ultimate Success Service Delivery The Better Buildings Neighborhood Program is part of the national Better Buildings Initiative led by the U.S. Department of Energy. To learn how the Better Buildings Neighborhood Program is making homes more comfortable and businesses more lucrative and to read more from this Spotlight series, visit betterbuildings.energy.gov/neighborhoods. 1 A Sweeping Experiment: Better Buildings Tests Offerings in Michigan Neighborhoods BetterBuildings for Michigan is a statewide program using an innovative neighborhood "sweeps" delivery model to reach its residential target audience. Sweeps target one 420-home neighborhood at a time with a blitz of outreach, contractor scheduling, and

87

Novel Materials Become Multifunctional at the Ultimate Quantum Limit |  

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

Outsmarting Flu Viruses Outsmarting Flu Viruses How Lead-Free Solder (Mis)Behaves under Stress Dynamics of Polymer Chains Atop Different Materials Priming the Pump in the Fight against Drug-Resistant Tuberculosis The Ties that Bind Metals to Proteins Science Highlights Archives: 2013 | 2012 | 2011 | 2010 2009 | 2008 | 2007 | 2006 2005 | 2004 | 2003 | 2002 2001 | 2000 | 1998 | Subscribe to APS Science Highlights rss feed Novel Materials Become Multifunctional at the Ultimate Quantum Limit NOVEMBER 9, 2012 Bookmark and Share Illustration of a 4-unit-cell film of NdNiO3 (white) confined by LaAlO3 (blue) at the boundaries to make a quantum well structure. Our computers carry out their functions on several semiconducting devices layered together in the very smallest of spaces, known as quantum wells,

88

THERMAL PERFORMANCE MEASUREMENTS ON ULTIMATE HEAT SINKS - COOLING PONDS  

Office of Scientific and Technical Information (OSTI)

THERMAL PERFORMANCE MEASUREMENTS THERMAL PERFORMANCE MEASUREMENTS ON ULTIMATE HEAT SINKS - COOLING PONDS R. K. Hadlock 0 . B. Abbey Battelle Pacific Northwest Laboratories Prepared for U. S. Nuclear Regulatory Commission b + NOTICE This report was prepared as an account of work sponsored by the United States Government. Neither the United States nor the United States Nuclear Regulatory Commission, nor any of their employees, nor any of their contractors, subcontractors, or their employees, makes any warranty, express or implied, nor assumes any legal liability or responsibility for the accuracy, completeness or usefulness of any information, apparatus, pro- duct or process disclosed, nor represents that its use would not infringe privately owned rights. F Available from National Technical Information Service

89

Customer A arrives at a service facility with 3 servers at time t = 0 and finds all the servers are busy and 4 other customers waiting for service in the queue. The service discipline is  

E-Print Network (OSTI)

state is defined as n, the number of total customers in the queue, n = 0, 1, 2, · · · , 8. The stateQuestion 1 Customer A arrives at a service facility with 3 servers at time t = 0 and finds all the servers are busy and 4 other customers waiting for service in the queue. The service discipline is FCFS

Shihada, Basem

90

Future Synchrotron Light Sources Based on Ultimate Storage Rings  

Science Conference Proceedings (OSTI)

The main purpose of this talk is to describe how far one might push the state of the art in storage ring design. The talk will start with an overview of the latest developments and advances in the design of synchrotron light sources based on the concept of an 'ultimate' storage ring. The review will establish how bright a ring based light source might be, where the frontier of technological challenges are, and what the limits of accelerator physics are. Emphasis will be given to possible improvements in accelerator design and developments in technology toward the goal of achieving an ultimate storage ring. An ultimate storage ring (USR), defined as an electron ring-based light source having an emittance in both transverse planes at the diffraction limit for the range of X-ray wavelengths of interest for a scientific community, would provide very high brightness photons having high transverse coherence that would extend the capabilities of X-ray imaging and probe techniques beyond today's performance. It would be a cost-effective, high-coherence 4th generation light source, competitive with one based on energy recovery linac (ERL) technology, serving a large number of users studying material, chemical, and biological sciences. Furthermore, because of the experience accumulated over many decades of ring operation, it would have the great advantage of stability and reliability. In this paper we consider the design of an USR having 10-pm-rad emittance. It is a tremendous challenge to design a storage ring having such an extremely low emittance, a factor of 100 smaller than those in existing light sources, especially such that it has adequate dynamic aperture and beam lifetime. In many ultra-low emittance designs, the injection acceptances are not large enough for accumulation of the electron beam, necessitating on-axis injection where stored electron bunches are completely replaced with newly injected ones. Recently, starting with the MAX-IV 7-bend achromatic cell, we have made significant progress with the design of PEP-X, a USR that would inhabit the decommissioned PEP-II tunnel at SLAC. The enlargement of the dynamic aperture is largely a result of the cancellations of the 4th-order resonances in the 3rd-order achromats and the effective use of lattice optimization programs. In this paper, we will show those cancellations of the 4th-order resonances using an analytical approach based on the exponential Lie operators and the Poisson brackets. Wherever possible, our analytical results will be compared with their numerical counterparts. Using the derived formulae, we will construct 4th-order geometric achromats and use them as modules for the lattice of the PEP-X USR, noting that only geometric terms are canceled to the 4th order.

Cai, Yunhai; /SLAC

2012-04-09T23:59:59.000Z

91

Understanding Customer Choice Processes Using Neural Networks  

E-Print Network (OSTI)

of these dimensions, we try to find the number of relevant dimensions and the coordinates of customers and products are grouped into a small number of cat­ egories. Every customer has to buy a product from each category/options the model buys, but the customers do not, added to the number of products/options the customers buy

Kosters, Walter

92

Home Performance with Energy Star (WPS Customers Only) | Department of  

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

Performance with Energy Star (WPS Customers Only) Performance with Energy Star (WPS Customers Only) Home Performance with Energy Star (WPS Customers Only) < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Other Sealing Your Home Ventilation Appliances & Electronics Commercial Lighting Lighting Program Info State Wisconsin Program Type State Rebate Program Rebate Amount WPS doubles the existing Air Sealing, Attic Insulation, Exterior Wall Insulation, Sill Box Insulation, Interior Foundation Insulation: 33.3% of improvement costs up to $1,500 through Home Performance with ENERGY STAR Total: 66% of improvement costs of up to $3,000 Assisted Home Performance Bonus: Additional 15% off, for a total of 90% off

93

SunShot Initiative: Customer Acquisition  

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

Customer Acquisition to someone Customer Acquisition to someone by E-mail Share SunShot Initiative: Customer Acquisition on Facebook Tweet about SunShot Initiative: Customer Acquisition on Twitter Bookmark SunShot Initiative: Customer Acquisition on Google Bookmark SunShot Initiative: Customer Acquisition on Delicious Rank SunShot Initiative: Customer Acquisition on Digg Find More places to share SunShot Initiative: Customer Acquisition on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Balance of Systems Reducing Non-Hardware Costs Lowering Barriers Fostering Growth Customer Acquisition Photo of a woman, man, and child looking at a silver box on the outside of a home. The cost of acquiring customers and designing systems to fit their homes represents approximately 45% of all balance of systems costs in the U.S.

94

Methods and Guidelines for Assessing Customer District Energy Needs  

Science Conference Proceedings (OSTI)

A district energy (DE) system is a central supply of cooling and heating to individual buildings, which offers substantial energy savings over individual building cooling and heating systems. This interim report describes a method for assessing total building energy needs, with emphasis on evaluating customer heating and cooling loads and determining seasonal efficiencies for boiler and chiller plants.

1998-12-31T23:59:59.000Z

95

national total  

U.S. Energy Information Administration (EIA)

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

96

MSTC - Microsystems Science, Technology, and Components - Custom  

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

Custom Microsystems Solutions Custom Microsystems Solutions Microsystems Home Custom Microsystems Solutions Microsystems R&D Services Capabilities and Technologies Facilities Trusted Microsystems General Info About Us Awards Contacts Doing Business with Us Fact Sheets MESA News Custom Microsystems Solutions ASICS Chemical/Bio Sensors Custom Discretes MEMS Compound Semiconductors The breadth and depth of expertise, capabilities and facilities allows Sandia's Microsystems Center the flexibility to provide custom microsystem-based solutions. By integrating a diverse base of technologies, design expertise, and fabrication options we are able to develop unique solutions for the challenging and wide-ranging problems of today. Application-Specific Integrated Circuits (ASICs) Digital ASIC Mixed-Signal ASIC

97

Number of Retail Customers by State by Sector, 1990-2012  

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

Number of Retail Customers by State by Sector, 1990-2012" Number of Retail Customers by State by Sector, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",275405,48790,1263,0,"NA",325458 2012,"AL","Total Electric Industry",2150977,357395,7168,0,"NA",2515540 2012,"AR","Total Electric Industry",1332154,181823,33926,2,"NA",1547905 2012,"AZ","Total Electric Industry",2585638,305250,7740,0,"NA",2898628 2012,"CA","Total Electric Industry",13101887,1834779,73805,12,"NA",15010483

98

Customer churn prediction in telecommunications  

Science Conference Proceedings (OSTI)

This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service ... Keywords: Churn prediction, Decision Trees, Evolutionary Data Mining Algorithms, Imbalanced datasets, Linear Classifications, Logistic Regressions, Multilayer Perceptron Neural Networks, Naive Bayes, ROC and AUC techniques, Support Vector Machines

Bingquan Huang; Mohand Tahar Kechadi; Brian Buckley

2012-01-01T23:59:59.000Z

99

Appendices Understanding Electric Utility Customers  

Science Conference Proceedings (OSTI)

EPRI report 1023562 provides a synthesis of the body of evidence regarding the major factors that affect how customers value and use electricity; this companion report contains five appendices to support that document. Appendix A provides additional background on price elasticity of demand as a companion to the economics of demand discussion in Section 2 of 1023562. Appendix B provides tables detailing elements of the experimental designs for the 10 pricing pilots examined in Section 3 of 1023562; Append...

2012-02-07T23:59:59.000Z

100

SCE Responses to Customer Data Questions  

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

SCE Responses to Customer Data Questions SCE Responses to Customer Data Questions 1. Who owns energy consumption data? SCE Response: Customer-specific data gathered or developed by a utility in the course of providing utility services is owned by the utility. Such data is subject to confidentiality and privacy requirements. In California, customers have the right to access their customer- specific information and can authorize third-party access to their information. 2. Who should be entitled to privacy protections relating to energy information? SCE Response: All customers receiving electric service from a utility should be entitled to privacy protections relating to their customer-specific energy information. Furthermore, utilities should not be required to enforce the compliance of customer-authorized third

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


101

Trustworthy Customer Services | Department of Energy  

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

Trustworthy Customer Services Trustworthy Customer Services Trustworthy Customer Services January 15, 2014 8:30AM EST to January 16, 2014 4:00PM EST Registration link: CHRIS 002452/0001$400.00 Course Type: Classroom Course Location: Forrestal RM GH-043 Course Description: In this interactive course, participants learn how to improve their customer service skills to build stronger and more effective relationships with customers, and to improve their overall individual and organizational effectiveness. Participants learn how to identify customers and their needs, and learn the fundamental attributes of strong customer service skills. The course uses a series of mini case studies and individual assessments to help participants focus on the steps they need to take to provide exceptional customer service. Participants receive a set of

102

Emotion detection in email customer care  

Science Conference Proceedings (OSTI)

Prompt and knowledgeable responses to customers' emails are critical in maximizing customer satisfaction. Such emails often contain complaints about unfair treatment due to negligence, incompetence, rigid protocols, unfriendly systems, and unresponsive ...

Narendra Gupta; Mazin Gilbert; Giuseppe Di Fabbrizio

2010-06-01T23:59:59.000Z

103

Custom Coolers: Order (2013-CE-5315)  

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

DOE ordered Custom Coolers, LLC to pay a $8,000 civil penalty after finding Custom Coolers had failed to certify that certain models of walk-in cooler and freezer components comply with the applicable energy conservation standards.

104

Customer segmentation in the medical devices industry  

E-Print Network (OSTI)

This thesis addresses Company X's concerns about its product shipment options. The company ships over 70% of its products to its customers using the primary service provider that ensures that the product is at the customer ...

Basu, Probal

2007-01-01T23:59:59.000Z

105

Nanoparticle Superlattices for Custom-designed ...  

Wind Energy; Partners (27) Visual Patent Search; Success Stories; News; Events; Industrial Technologies Nanoparticle Superlattices for Custom-designed ...

106

Custom Engineered Microcompartments for Enzyme Efficiency ...  

Biomass and Biofuels Custom Engineered Microcompartments for Enzyme Efficiency Lawrence Berkeley National Laboratory. Contact LBL About This ...

107

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.

108

Predicting the devolatilization behavior of any coal from its ultimate analysis  

Science Conference Proceedings (OSTI)

FLASHCHAIN has been developed to predict yields and product characteristics from any coal for any operating conditions. This evaluation demonstrates the model`s utility for the usual situation where the ultimate analysis is the only sample-specific information available. It also identifies the key reaction centers in coal as its structural components called labile bridges. Their elemental compositions are grossly different than the analogous whole-coal properties, showing much stronger rank dependences and a much higher degree of sample-to-sample variability. In light of these findings, it is inconceivable that bride conversion rates are rank-independent. Parameters in the rate law for bridge conversion in FLASHCHAIN are now explicitly related to the elemental compositions of bridges. The (O/C){sub B} ratios are the best regression variable for the rate constants because oxygen is the most effective promoter of pyrolytic decompositions. The (O/H){sub B} rates are best for the selectivity coefficient between scission and condensation into char links because oxygen promotes crosslinking but hydrogen addition to broken bridge fragments stabilizes them. These extensions are evaluated in comparisons against a database of 27 coals that span all ranks from lignite to anthracite, for heating rates from 5 to 5,000 K/s, ultimate temperatures to 1,300 K, and pressures from vacuum to 70 MPa. In four out of five cases, predicted total and tar yields are within experimental uncertainties. The model is also used to rigorously define nominal devolatilization rates for diverse coal types and broad ranges of operating conditions. Nominal rates have very low activation energies, proving that heat and mass transport resistances are not responsible for the low values because this theory is completely free of these considerations. Whereas nominal rates are rather insensitive to coal type variations and independent of pressure, they vary in proportion to changes in heating rate.

Niksa, S. [SRI International, Menlo Park, CA (United States). Molecular Physics Lab.

1995-02-01T23:59:59.000Z

109

Modeling of customer adoption of distributed energy resources  

E-Print Network (OSTI)

Customer Adoption of Distributed Energy Resources Ozbek, A.Customer Adoption of Distributed Energy Resources Figure 39.Customer Adoption of Distributed Energy Resources REFERENCES

2001-01-01T23:59:59.000Z

110

Table 15. Metallurgical Coal Exports by Customs District  

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

Metallurgical Coal Exports by Customs District Metallurgical Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 15. Metallurgical Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Customs District April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Eastern Total 11,716,074 14,136,513 15,167,377 25,852,587 27,578,514 -6.3 Baltimore, MD 2,736,470 4,225,450 5,123,600 6,961,920 9,037,970 -23.0 Boston, MA - - - - 28,873 - Buffalo, NY 247,714 121,347 524,040 369,061 725,698 -49.1 Norfolk, VA 8,730,257 9,784,866 9,519,119 18,515,123 17,784,479 4.1 Ogdensburg, NY 1,633 4,850 618 6,483 1,494 333.9 Southern Total 3,551,564 3,824,484

111

Moving Toward Zero Energy Homes: The Ultimate Family Home, Las Vegas, Nevada (Brochure)  

DOE Green Energy (OSTI)

Brochure describes the energy efficient and solar energy features of the Ultimate Family Home Zero Energy Home, participant in the Zero Energy Homes initiative.

Not Available

2003-12-01T23:59:59.000Z

112

Getting it right for customers  

SciTech Connect

As the race to deregulate heats up, one company has set the early pace. American Electric Power Company, Inc. (AEP), which serves 7 million people from Indiana to Tennessee, has already restructured itself, separating its power generation activities from its delivery of energy services. In the process, the company has wholeheartedly embraced competition, says E. Linn Draper, Jr., the chief executive officer of AEP, which is headquartered in Columbus, Ohio. {open_quotes}In fact, AEP was among the first electric power companies to offer access to its transmission grid to all parties under the same terms and conditions available to AEP subsidiary companies,{close_quotes} Draper says. Essential to the transition is the repeal of such antiquated federal laws as the Public Utilities Holding Company Act and the Public Utility Regulatory Policy Act. {open_quotes}Times change, and laws that once helped achieve worthwhile objectives can ultimately stand in the way of progress,{close_quotes} Draper says.

Draper, E.L. Jr. [American Electric Power Company, Columbus, OH (United States)

1997-10-01T23:59:59.000Z

113

Using Customers' Reported Forecasts to Predict Future Sales  

E-Print Network (OSTI)

Using Customers' Reported Forecasts to Predict Future Sales Nihat Altintas , Alan Montgomery orders using forecasts provided by their customers. Our goal is to improve the supplier's operations through a better un- derstanding of the customers's forecast behavior. Unfortunately, customer forecasts

Murphy, Robert F.

114

Ameren Illinois (Electric) - Custom, HVAC, and Motor Business...  

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

Custom, HVAC, and Motor Business Efficiency Incentives Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency Incentives Eligibility Commercial Industrial...

115

Understanding Electric Utility Customers -- Summary Report  

Science Conference Proceedings (OSTI)

How customers use and value electricity has been a subject of study and debate for many decades. A better understanding of how customers use electricity could help the industry find ways to improve energy efficiency. In addition, our ability to encourage more efficient consumption through feedback, control technology, and dynamic pricing is better and less costly than it has ever been due to technology advancements.Despite decades of research into how customers use and value ...

2012-10-31T23:59:59.000Z

116

Electric retail market options: The customer perspective  

SciTech Connect

This report describes various options that are now available for retail electric customers, or that may become available during the next few years as the electric utility industry restructures. These options include different ways of meeting demand for energy services, different providers of service or points of contact with providers, and different pricing structures for purchased services. Purpose of this document is to examine these options from the customer`s perspective: how might being a retail electric customer in 5--10 years differ from now? Seizing opportunities to reduce cost of electric service is likely to entail working with different service providers; thus, transaction costs are involved. Some of the options considered are speculative. Some transitional options include relocation, customer-built/operated transmission lines, municipalization, self-generation, and long-term contracts with suppliers. All these may change or diminish in a restructured industry. Brokers seem likely to become more common unless restructuring takes the form of mandatory poolcos (wholesale). Some options appear robust, ie, they are likely to become more common regardless of how restructuring is accomplished: increased competition among energy carriers (gas vs electric), real-time pricing, etc. This report identified some of the qualitative differences among the various options. For customers using large amounts of electricity, different alternatives are likely to affect greatly service price, transaction costs, tailoring service to customer preferences, and risks for customer. For retail customers using small amounts of electricity, there may be little difference among the options except service price.

Hadley, S.W.; Hillsman, E.L.

1995-07-01T23:59:59.000Z

117

Office of Headquarters Procurement Services - Employee Customer...  

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

and timely. - MA-64 contracting personnel will set appropriate notifications within STRIPES so that applicable MA-64 customers will be notified as a procurement transaction...

118

Building a Better Capacitor with Custom Nanorods  

Science Conference Proceedings (OSTI)

Apr 10, 2013 ... Building a Better Capacitor with Custom Nanorods ... This can enable the capacitor to store more energy, extract that energy more quickly, and...

119

Building a Database to Predict Customer Needs  

Science Conference Proceedings (OSTI)

... the customers who would respond to the lower prices, and determine what ... projected from current records using projective visualization (PV), a new ...

2006-06-08T23:59:59.000Z

120

Does Customer Auditing Help Chinese Workers?  

E-Print Network (OSTI)

and Alberto Brause. 2007. Does monitoring improve labourDoes Customer Auditing Help Chinese Workers? Guojun He* andworkers well-being. Auditing does not affect the suppliers

He, Goujun; Perloff, Jeffrey M.

2012-01-01T23:59:59.000Z

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


121

Reinventing information services to increase customer satisfaction  

Science Conference Proceedings (OSTI)

In this paper, the author presents her view of the role of an information service and proposes means of improving information customer service and satisfaction. The emphasis of the paper is on placing the primary value on the information customer rather than on the information itself. After receiving a request for information, the information service should strive for speed and accuracy of service to provide full-text sources in a language and format convenient to the customer. The author stresses that information professionals need to re-evaluate their roles to correctly assess and rectify customers` information deficiencies.

Madison, J.E.

1993-12-01T23:59:59.000Z

122

Black Hills Power- Residential Customer Rebate Program  

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

Black Hills Power offers cash rebates to residential customers who purchase and install energy efficient equipment in their homes. Incentives exist for water heaters, demand control units, air...

123

Table 14. Steam Coal Exports by Customs District  

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

Steam Coal Exports by Customs District Steam Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 14. Steam Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Customs District April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Eastern Total 4,951,041 5,566,950 6,554,494 10,517,991 11,407,664 -7.8 Baltimore, MD 1,275,530 831,976 1,715,016 2,107,506 2,852,092 -26.1 Boston, MA 7 - 12 7 24 -70.8 Buffalo, NY 1,180 1,516 2,826 2,696 5,257 -48.7 New York City, NY 3,088 2,664 2,168 5,752 6,106 -5.8 Norfolk, VA 3,578,715 4,697,769 4,760,354 8,276,484 8,443,756 -2.0 Ogdensburg, NY 36,894 3,610 3,090 40,504 6,838 492.3 Philadelphia, PA

124

Estimating Large-Customer Demand Response Market Potential: Integrating Price and Customer Behavior  

E-Print Network (OSTI)

reductions in their class peak demand in response to pricesresidential customers with peak demand greater than 350 kWs) Eligible Customers (peak demand) > 1,500 kW > 2000 kW >

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

125

Programmers are from Mars, customers are from Venus: a practical guide for customers on XP projects  

Science Conference Proceedings (OSTI)

Extreme Programming and other Agile methods have a dedicated customer role that acts as the interface between development teams and their clients, sponsors, and end-users. The customer is critical to agile projects, but there is little research, ... Keywords: XP, agile methods, customer, extreme programming

Angela Martin; James Noble; Robert Biddle

2006-10-01T23:59:59.000Z

126

Attention Wells Fargo and Wachovia customers  

E-Print Network (OSTI)

Attention Wells Fargo and Wachovia customers Are you a Wells Fargo or Wachovia mortgage customer Angeles, CA March , & : am to : pm You'll personally meet with a Wells Fargo representative who-inswelcomebutregistrationisrecommended. Wells Fargo Home Mortgage is a division of Wells Fargo Bank, N.A. Wells Fargo Bank, N.A. All rights

Southern California, University of

127

PERFORMANCE-LED HR Is Customer Centricity  

E-Print Network (OSTI)

: Support Account: Sub Code: (to be completed by Fiscal Office) Date Billed: Company Name: Customer ID for tracking purposes. Maximum of 7 characters allowed Purchase order number provided by the customer-digit SL 5-digit SA Date the form is completed Reference number assigned by requesting department

Meju, Max

128

Custom chip/card design system  

Science Conference Proceedings (OSTI)

The Custom Chip/Card Design System (CCDS) is a set of software applications, tied together via a common data interchange, that is used for the design, analysis, and checking of custom electronic circuits. CCDS is intended to unite the separate electrical, ...

A. M. Barone; J. K. Morrell

1984-09-01T23:59:59.000Z

129

Customer data mining for lifestyle segmentation  

Science Conference Proceedings (OSTI)

A good relationship between companies and customers is a crucial factor of competitiveness. Market segmentation is a key issue for companies to develop and maintain loyal relationships with customers as well as to promote the increase of company sales. ... Keywords: Clustering, Lifestyle, Retailing, Segmentation

V. L. Miguis; A. S. Camanho; Joo Falco e Cunha

2012-08-01T23:59:59.000Z

130

Definition: Customer Web Portal | Open Energy Information  

Open Energy Info (EERE)

Web Portal Web Portal Jump to: navigation, search Dictionary.png Customer Web Portal A web site designed to allow customers to view information related to their electricity usage, including consumption data, pricing information, billing information, and other messages and resources from the utility or third party energy services provider. The web portal may also be used to allow customers to provide information back to providers. Customer web portals may be accessed through web browsers or applications on personal computers or mobile devices such as smart phones.[1] Related Terms electricity generation References ↑ https://www.smartgrid.gov/category/technology/customer_web_portal [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitions|Template:BASEPAGENAME]]

131

Definition: Customer System Communications Network | Open Energy  

Open Energy Info (EERE)

System Communications Network System Communications Network Jump to: navigation, search Dictionary.png Customer System Communications Network The communications network or networks between the customers' premise and the utility, designed to provide two-way communications between customer systems and utility information 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 system References ↑ https://www.smartgrid.gov/category/technology/customer_system_communications_network [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitions|Template:BASEPAGENAME]] Retrieved from "http://en.openei.org/w/index.php?title=Definition:Customer_System_Communications_Network&oldid=480382"

132

Custom Reporting: Full List of Available Information and Metrics  

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

Custom Reporting: Custom Reporting: Full List of Available Information and Metrics Cost Performance Metrics Units Energy Cost Dollars Energy Cost Intensity Dollars National Median Energy Cost Dollars Total Water Cost (All Water Types) Dollars Indoor Water Cost (All Water Types) Dollars Indoor Water Cost Intensity (All Water Types) Dollars/ft2 Outdoor Water Cost (All Water Types) Dollars Investment in Energy Projects, Cumulatve Dollars Investment in Energy Projects, Cumulatve Dollars/ft2 Water/Wastewater Investment in Energy Projects, Cumulative Dollars/GPD Estimated Savings from Energy Projects, Cumulative Dollars Estimated Savings from Energy Projects, Cumulative Dollars/ft2 Water/Wastewater Estimated Savings from Energy Projects, Cumulative Dollars/GPD Electricity (Grid Purchase) Cost Dollars

133

Does Customer Auditing Help Chinese Workers?  

E-Print Network (OSTI)

F. Qin, and A. Brause, 2007, Does monitoring improve labourDoes Customer Auditing Help Chinese Workers? Guojun He* andof a Chinese supplier does not affect that the suppliers

He, Guojun; Perloff, Jeffrey M.

2009-01-01T23:59:59.000Z

134

Nebraska Customized Job Training Advantage (Nebraska)  

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

The Nebraska Customized Job Training Advantage is a flexible job training program with grants from $800-$4000 per qualified new job. Additional grant funding may be available for jobs created in...

135

Santee Cooper- Business Custom Rebate (South Carolina)  

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

Santee Cooper has developed a Business Custom Rebate as part of their Reduce the Use: Business Prescriptive Rebate Program, which was designed to reduce a business's overall electricity use.

136

The Research of Internet Shopping Customer Value Model  

Science Conference Proceedings (OSTI)

The existing empirical study of Internet shopping in literature, mostly concerned about the interaction relationship of retailer and customer, few scholars study the process of transactions between customers and other services suppliers, by assaying ... Keywords: Internet Shopping, Stakeholders, Customer Value

Xiao-bin Liu; Ming-qing Qiu

2010-05-01T23:59:59.000Z

137

The Binary Customer Satisfaction Model in Inventory and Queueing Systems  

E-Print Network (OSTI)

1) There are a number of customers who each have the samethe case when the number of customers approaches in?nity (? number of customers receiving product in each

Azadivar, Justin Sepehr

2010-01-01T23:59:59.000Z

138

Fulfillment of Rush Customer Orders under Limited Capacity  

E-Print Network (OSTI)

Customer demand fulfillment is the business process within a company that determines how the customer demand is fulfilled. A rush order is the last minute customer order after the production plan of a company has been ...

Xiong, M.H.

139

Custom Power Primer Version 1.0  

Science Conference Proceedings (OSTI)

Voltage sags, momentary interruptions, harmonic distortion, and voltage flicker are among the most common power quality variations affecting industrial and commercial end-users. Solving these problems will require a great deal of cooperation. This report focuses on devices that are classified as custom power solutions. For voltage sag, swell, and interruption mitigation, the following custom power controllers are examined: static series compensator (SSC) devices, static voltage regulator (SVR) devices, b...

1999-12-01T23:59:59.000Z

140

Green Energy Markets: Customer Responses to Green Energy Offers  

Science Conference Proceedings (OSTI)

With the introduction of retail competition in the electric utility industry, meeting customer needs is critical for retaining existing customers and attracting new ones. Understanding customer preferences for new products and offering products that provide value to customers is a first step toward meeting customer needs. While it is true that some retail customers will only choose electricity services at the lowest possible price, this is only one segment of the retail market! Recent EPRI research sugge...

1999-12-02T23:59:59.000Z

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


141

Office of Headquarters Procurement Services - Employee Customer Service  

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

Office of Headquarters Procurement Services - Employee Customer Office of Headquarters Procurement Services - Employee Customer Service Standards Office of Headquarters Procurement Services - Employee Customer Service Standards CUSTOMER FOCUS The Office of Headquarters Procurement Services (MA-64) serves a variety of customers in the performance of its acquisition and financial assistance mission. Primary among its many customers is each of the Department of Energy Headquarters program offices. MA-64 continually seeks to improve service to its customers, by prioritizing its workload through a better understanding of customer needs; providing effective assistance in the development of quality procurement request packages; improving the timeliness of procurement transactions through the establishment of mutually agreeable transaction milestone

142

Hand-colored Wood Engraving of Custom House in Cincinnati  

Science Conference Proceedings (OSTI)

... and Measures (OWM) began providing standards of length, mass, and capacity to the custom-houses in the 1830s, the custom-house at Cincinnati ...

143

Ameren Illinois (Electric) - Custom, HVAC, and Motor Business...  

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

Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency Incentives Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency Incentives < Back...

144

Residential Customer Enrollment in Time-based Rate and Enabling...  

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

Customer Enrollment in Time-based Rate and Enabling Technology Programs: Smart Grid Investment Grant Consumer Behavior Study Analysis Title Residential Customer Enrollment in...

145

Western Area Power Administration customer database  

SciTech Connect

This report describes a comprehensive customer database compiled by the Pacific Northwest Laboratory (PNL) to assist with analyses conducted as part of the Western Area Power Administration Energy Planning and Management Program Environmental Impact Statement (EIS). The database was used by PNL as a tool to help select a sample of Western customers for potential participation in the Organizational Impacts Analysis case studies, and was used as part of the Utility Impact Analysis to identify sources and costs of auxiliary power. Secondary information sources were used predominantly to compile one year of system related information on the Western customers (over 600) included in the database. This information was useful for its intended purposes; however, year-to-year information may not be consistent across utilities and not all information was available for each utility.

Sandahl, L.J.; Lee, A.D.; Wright, G.A.; Durfee, D.L.

1993-05-01T23:59:59.000Z

146

A core reference ontology for the customer relationship domain  

Science Conference Proceedings (OSTI)

Customer Relationship Management (CRM) has emerged as an important strategy that companies should implement in order to build profitable and stable relationships with their customer. The domain of CRM has peculiar characteristics: a CRM strategy is largely ... Keywords: CRM, Customer relationship management, business activities, business knowledge, customer relationships, software

Diego Magro; Anna Goy

2012-01-01T23:59:59.000Z

147

Customized BGP Route Selection Using BGP/MPLS VPNs  

E-Print Network (OSTI)

Customized route selection mechanisms at ASBR Use Virtual Routing and Forwarding (VRF) instances to build

Bonaventure, Olivier

148

Customer-Centered Careflow Modeling Based on Guidelines  

Science Conference Proceedings (OSTI)

In contemporary society, customer-centered health care, which stresses customer participation and long-term tailored care, is inevitably becoming a trend. Compared with the hospital or physician-centered healthcare process, the customer-centered healthcare ... Keywords: Careflow, Customer-centered health care, Information system, Process modeling

Biqing Huang; Peng Zhu; Cheng Wu

2012-10-01T23:59:59.000Z

149

Department of Energy Customer Service Plan | Department of Energy  

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

Customer Service Plan Customer Service Plan Department of Energy Customer Service Plan The U.S. Department of Energy (DOE) strives to ensure America's security and prosperity by addressing its energy, environmental, and nuclear challenges through transformative science and technology solutions. Through this work, the Department serves a range of internal and external customers including DOE's employee and contractor workforce, students, scientists and researchers, businesses and other branches of federal, state and local government, among many others. With this diverse audience in mind, the Department of Energy's Customer Service Plan focuses on improving customers' access to user-friendly, effective information and resources. DOE_Customer_Service_Plan.pdf More Documents & Publications

150

Evaluating customer aid functions of online stores with agent-based models of customer behavior and evolution strategy  

Science Conference Proceedings (OSTI)

With competitive pressure growing in online markets, many Internet stores provide various customer aid functions such as personalized pages to help customers shop more effectively and efficiently. Evaluating such customer aid functions is usually costly ... Keywords: Agent, Customer aid function, Evolution strategies, Online store, Recommendation

Hyung Jun Ahn

2010-05-01T23:59:59.000Z

151

CUSTOMIZATION AS A BUSINESS MODEL FOR ONLINE NEWSPAPERS  

E-Print Network (OSTI)

The evolving IS literature on business models for digital products assumes that the positive feedback effect will lead to price competition and biased concentration of the market. In theory, this will require companies to either differentiate or customize their products and services. In this paper we propose an empirical investigation of customization as a lock-in business strategy for online newspapers in a homogenous and well-developed market. We explore approaches taken to customization and evaluate their impact on revenue generation of online newspapers. Our empirical tests with data from 42 online versions showed that mainly experienced, nationwide online newspapers applied customization. We determined two main customization approaches for online newspapers, customer and process oriented customization. Interestingly, only the degree of process customization was an important predictor and moderator of revenue having a significant interaction effect on the impact of the number of both customers and editorial staff on revenue. Contrary to our main hypothesis that customization should help in increasing customer lock-in through personalization or versioning, the majority of online newspapers seemed to concentrate mainly on process customization in order to serve a maximal number of different types of customers and to increase their revenue. The promising positive effects of customization strengthen our belief that customization could be an effective business model for online newspapers.

Markku Sksjrvi; Teemu Santonen; Markku Sksjrvi; Teemu Santonen; Markku Sksjrvi; Teemu Santonen

2003-01-01T23:59:59.000Z

152

Dynamic Customer Energy Systems Design Basis  

Science Conference Proceedings (OSTI)

Developing a common communications language for integrating consumer appliances as well as heating, ventilation, and air conditioning (HVAC) equipment is a precondition for massively scaling dynamic customer energy systems capable of demand response and other new functions. This report assesses the status of work on creating such a language and makes recommendations for integrating, extending and harmonizing these efforts.

2008-01-14T23:59:59.000Z

153

Customization in a UNIX Computing Environment  

Science Conference Proceedings (OSTI)

This work studies the use of customization in a campus UNIX computing environment where a large computing culture exists, but one that has many diverse interests rather than focusing on a cohesive project. We found there to be a gap between the core ...

Craig E. Wills; Kirstin Cadwell; William Marrs

1993-11-01T23:59:59.000Z

154

Estimating Large-Customer Demand Response Market Potential:Integrating Price and Customer Behavior  

Science Conference Proceedings (OSTI)

ABSTRACT=Demand response (DR) is increasingly recognized asan essential ingredient to well-functioning electricity markets. DRmarket potential studies can answer questions about the amount of DRavailable in a given area, from which market segments. Several recent DRmarket potential studies have been conducted, most adapting techniquesused to estimate energy-efficiency (EE) potential. In this scoping study,we: reviewed and categorized seven recent DR market potential studies;recommended a methodology for estimating DR market potential for large,non-residential utility customers that uses price elasticities to accountfor behavior and prices; compiled participation rates and elasticityvalues from six DR options offered to large customers in recent years,and demonstrated our recommended methodology with large customer marketpotential scenarios at an illustrative Northeastern utility. We recommendan elasticity approach for large-customer DR options that rely oncusto!

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Cappers, Peter

2007-06-01T23:59:59.000Z

155

Customer Services Handbook, 2010, Office of Administration  

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

Service Handbook March 2010 Message from the Director... For all of us in the Office of Administration, our priority is to provide a safe, healthy, and energy-efficient workplace for all of our Headquarters colleagues. Equally important, we are a service organization whose core mission is to provide critical support to the Department of Energy program offices. My goals for us are to provide the highest quality of customer

156

Focusing on Profitable Wholesale Customers: Summary Sheet  

Science Conference Proceedings (OSTI)

EPRI has launched research into profitable business strategies for energy wholesalers to gain insight into the markets where they operate and provide guidance on pursuing potential new business strategies. EPRI Product 1000282, "Profitable Business Strategies for Energy Wholesalers: Guidebook," provides detailed analysis of that study's findings. This technology review, EPRI Product Number 1000281, provides a spreadsheet framework to begin analyzing the importance of specific retailers as customers for a...

2000-09-28T23:59:59.000Z

157

COSS Service Bureau Advanced Billing and Customer Systems  

Science Conference Proceedings (OSTI)

This report is for energy companies whose business focus is market share. To achieve market share, these companies will need to build a "front office" that converts prospects into customers and achieves a high degree of customer satisfaction.

1998-12-28T23:59:59.000Z

158

Table 13. U.S. Coal Exports by Customs District  

Annual Energy Outlook 2012 (EIA)

Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 13. U.S. Coal Exports by Customs District...

159

Inter-organizational information sharing of customer data in retail  

E-Print Network (OSTI)

As massive online retailers are putting increasing pressure on the traditional brick-and-mortar retailers, new ways to compete for customers is needed. Identifying customers' behavior and understanding their needs could ...

Tengberg, John C.F. (John Claes Fredrik)

2013-01-01T23:59:59.000Z

160

Effect of location and orientation of two short dents on ultimate compressive strength of a thin square steel plate  

Science Conference Proceedings (OSTI)

Thin plates are subject to several imperfections (including dents) which reduce the ultimate strength of plates. In this work, nearness effect of two short dents of same size on the ultimate strength of a thin square steel plate is numerically investigated. ...

A. V. Raviprakash; B. Prabu; N. Alagumurthi

2012-10-01T23:59:59.000Z

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


161

Optimal estimation of losses at the ultimate quantum limit with non-Gaussian states  

E-Print Network (OSTI)

We address the estimation of the loss parameter of a bosonic channel probed by arbitrary signals. Unlike the optimal Gaussian probes, which can attain the ultimate bound on precision asymptotically either for very small or very large losses, we prove that Fock states at any fixed photon number saturate the bound unconditionally for any value of the loss. In the relevant regime of low-energy probes, we demonstrate that superpositions of the first low-lying Fock states yield an absolute improvement over any Gaussian probe. Such few-photon states can be recast quite generally as truncations of de-Gaussified photon-subtracted states.

G. Adesso; F. Dell'Anno; S. De Siena; F. Illuminati; L. A. M. Souza

2008-07-24T23:59:59.000Z

162

Smart Charger Technology for Customer Convenience and Grid ...  

Enable customer to optimize between cost and convenience ... removes any uncertainties regarding battery life reduction because of extra cycling. ...

163

The Virtual Customer Ely Dahan and John R. Hauser  

E-Print Network (OSTI)

this communication to take place among larger numbers of customers and web-based interviewing enables the PD team conjoint applications required more parameters to be estimated than the number of profiles that customers- tion-level estimates. In a parallel camera UD we recorded the number of customers who included each

Gabrieli, John

164

Estimated Value of Service Reliability for Electric Utility Customers in the United States  

E-Print Network (OSTI)

Customers Number of Observations by Region, Company, Season,Customers Number of Observations by Region, Company, Season,1. Residential Customers Number of Cases by Region, Company,

Sullivan, M.J.

2009-01-01T23:59:59.000Z

165

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

participation, the number of customers enrolling in programsincrease both the number of customers willing to participateparticipation, or the number of customers enrolling in

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

166

A Methodology for Estimating Large-Customer Demand Response Market Potential  

E-Print Network (OSTI)

participation, the number of customers enrolling in programsservice (i.e. , the number of customers who do not switch toinformation on the number of customers eligible for their

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2008-01-01T23:59:59.000Z

167

THE ADOPTION OF ISO 14001 WITHIN THE SUPPLY CHAIN: WHEN ARE CUSTOMER PRESSURES EFFECTIVE?  

E-Print Network (OSTI)

led to increasing numbers of customers that require theirsupplier and for the Number of customers maintained by eachwe control for the Number of customers that each facility

Delmas, Magali A; Montiel, Ivan

2007-01-01T23:59:59.000Z

168

Estimated Value of Service Reliability for Electric Utility Customers in the United States  

E-Print Network (OSTI)

Commercial and Industrial Customers Number of ObservationsCommercial and Industrial Customers Number of ObservationsTable 5-1. Residential Customers Number of Cases by Region,

Sullivan, M.J.

2009-01-01T23:59:59.000Z

169

The Use of eCRM to Enhance Customer Relationship: The Case of Toyota Mahanakkorn.  

E-Print Network (OSTI)

?? Many organizations are familiar with using CRM (Customer relationship management) to manage and enhance the customer relationship. Good customer relationship can bring great benefits (more)

Puengprakiet, Pensiri

2011-01-01T23:59:59.000Z

170

SC-CH FACTS Customer Service  

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

SC-CH FACTS SC-CH FACTS Customer Service Office of Communications P (630) 252-2110 F (630) 252-9473 Address 9800 South Cass Ave. Argonne, Illinois 60439 Websites Chicago Office www.ch.doe.gov Office of Science http://science.energy.gov/ U.S. Department of Energy http://energy.gov/ CH Factoids Who We Are ... Our Mission The Office of Science - Chicago Office (SC-CH) is a field office of the U.S. Department of Energy (DOE), a Cabinet-level agency with

171

Conceptual Modeling for Customized XML Schemas  

E-Print Network (OSTI)

XML was initially developed for document management, but it is becoming increasingly used for storing and exchanging all kinds of data on the Internet. In this paper, we introduce a design methodology for XML schemas that is based upon well-understood conceptual modeling methodologies. Because XML is hierarchical (tree-structured), many different XML schemas (or document structures) can be generated from the same conceptual database schema. We describe algorithms for generating customized hierarchical views from EER model, creating XML schemas from hierarchical views, generating SQL queries corresponding to the XML schemas, and creating XML instance documents from the query results. 2004 Elsevier B.V. All rights reserved.

Ramez Elmasri; Qing Li; Jack Fu; Yu-chi Wu; Babak Hojabri; Swathi Ande

2002-01-01T23:59:59.000Z

172

An R and D Agenda to enhance electricity system reliability by increasing customer participation in emerging competitive markets  

SciTech Connect

Recent electricity price spikes are painful reminders of the value that meaningful demand-side responses could bring to the restructuring US electricity system. Review of the aggregate offers made by suppliers confirms that even a modest increase demand elasticity could dramatically reduce these extremes in price volatility. We submit that dramatically increased customer participation in these markets to enhance system reliability and reduce price volatility is sorely needed. Indeed, allowing customers to manage their loads in response to system conditions might be thought of as the ultimate reliability resource. Most would agree that meaningful demand-side responses to price are the hallmark of a well-functioning competitive market (Kirby and Kueck 1999). Yet, in today's markets for electricity, little or no such response is evident. In effect, today's markets are incomplete; they represent only half of what a truly competitive market requires. The reason is simple: customers currently do not experience directly the time-varying costs of their consumption decisions. Consequently, they have no incentive to modify these decisions in ways that might enhance system reliability or improve the efficiency of the markets in which electricity is traded. We submit that increased customer participation is a necessary step in the evolution toward more efficient markets for electricity and ancillary services. Toward this end, this paper outlines an agenda for public-interest R&D in support of this objective.

Eto, J.; Marnay, C.; Goldman, C.; Kueck, J.; Kirby, B.; Dagle, J.; Alvarado, F.; Mount, T.; Oren, S.; Martinez, C.

2000-10-01T23:59:59.000Z

173

PPL Electric Utilities - Custom Energy Efficiency Program | Department of  

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

PPL Electric Utilities - Custom Energy Efficiency Program PPL Electric Utilities - Custom Energy Efficiency Program PPL Electric Utilities - Custom Energy Efficiency Program < Back Eligibility Commercial Industrial Institutional Nonprofit Schools State Government Savings Category Other Maximum Rebate Custom Efficiency Rebates: 50% of incremental cost, $500,000 per customer site per year, or 2 million per parent company Technical Study: $100,000 annually Program Info Expiration Date 5/31/2013 State Pennsylvania Program Type Utility Rebate Program Rebate Amount Custom Incentive: $0.10 per projected first year kWh savings Technical study: 50% of cost '''The available budget for Large C&I (Commercial and Industrial) customers has been fully committed. New funding for energy efficiency projects will be available when Phase 2 begins on June 1, 2013. However, Phase 2 funding

174

Voices of Experience: Insights on Smart Grid Customer Engagement (July  

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

Voices of Experience: Insights on Smart Grid Customer Engagement Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) The success of the Smart Grid will depend in part on consumers taking a more proactive role in managing their energy use. This document is the result of a nine-month effort to compile information on the successful approaches used by utilities to engage customers regarding smart grid technology deployments. Voices of Experience: Insights on Smart Grid Customer Engagement provides practical advice from utilities that have implemented smart grid projects to educate and engage their customers. Customer engagement within the electric power industry is an evolving, ongoing process that is just beginning to emerge. While this guide may lean

175

Definition: Customer Electricity Use Optimization | Open Energy Information  

Open Energy Info (EERE)

Customer Electricity Use Optimization Customer Electricity Use Optimization Jump to: navigation, search Dictionary.png Customer Electricity Use Optimization Customer electricity use optimization is possible if customers are provided with information to make educated decisions about their electricity use. Customers could be able to optimize toward multiple goals such as cost, reliability, convenience, and environmental impact.[1] Also Known As Energy conservation Related Terms electricity generation References ↑ SmartGrid.gov 'Description of Functions' An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Customer_Electricity_Use_Optimization&oldid=480282" Categories: Definitions

176

Voices of Experience: Insights on Smart Grid Customer Engagement (July  

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

Voices of Experience: Insights on Smart Grid Customer Engagement Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) The success of the Smart Grid will depend in part on consumers taking a more proactive role in managing their energy use. This document is the result of a nine-month effort to compile information on the successful approaches used by utilities to engage customers regarding smart grid technology deployments. Voices of Experience: Insights on Smart Grid Customer Engagement provides practical advice from utilities that have implemented smart grid projects to educate and engage their customers. Customer engagement within the electric power industry is an evolving, ongoing process that is just beginning to emerge. While this guide may lean

177

Ultimate fast optical switching of a microcavity in the telecom wavelength range  

E-Print Network (OSTI)

We have studied a GaAs-AlAs microcavity with a resonance near 1300 nm in the telecom range by ultrafast pump-probe reflectivity. By the judicious choice of pump frequency, we observe a ultimate fast and reversible decrease of the resonance frequency by more than half a linewidth due to the instantaneous electronic Kerr eff?ect. The switch-on and switch-off? of the cavity is only limited by the cavity storage time of ?tcav = 0.3ps and not by intrinsic material parameters. Our results pave the way to supra-THz switching rates for on-chip data modulation and real-time cavity quantum electrodynamics.

Ctistis, Georgios; Hartsuiker, Alex; Claudon, Julien; Bazin, Maela; Grard, Jean-Michel; Vos, Willem L

2011-01-01T23:59:59.000Z

178

Assessing Fatigue and Ultimate Load Uncertainty in Floating Offshore Wind Turbines Due to Varying Simulation Length  

SciTech Connect

With the push towards siting wind turbines farther offshore due to higher wind quality and less visibility, floating offshore wind turbines, which can be located in deep water, are becoming an economically attractive option. The International Electrotechnical Commission's (IEC) 61400-3 design standard covers fixed-bottom offshore wind turbines, but there are a number of new research questions that need to be answered to modify these standards so that they are applicable to floating wind turbines. One issue is the appropriate simulation length needed for floating turbines. This paper will discuss the results from a study assessing the impact of simulation length on the ultimate and fatigue loads of the structure, and will address uncertainties associated with changing the simulation length for the analyzed floating platform. Recommendations of required simulation length based on load uncertainty will be made and compared to current simulation length requirements.

Stewart, G.; Lackner, M.; Haid, L.; Matha, D.; Jonkman, J.; Robertson, A.

2013-07-01T23:59:59.000Z

179

Assessing Fatigue and Ultimate Load Uncertainty in Floating Offshore Wind Turbines Due to Varying Simulation Length  

DOE Green Energy (OSTI)

With the push towards siting wind turbines farther offshore due to higher wind quality and less visibility, floating offshore wind turbines, which can be located in deep water, are becoming an economically attractive option. The International Electrotechnical Commission's (IEC) 61400-3 design standard covers fixed-bottom offshore wind turbines, but there are a number of new research questions that need to be answered to modify these standards so that they are applicable to floating wind turbines. One issue is the appropriate simulation length needed for floating turbines. This paper will discuss the results from a study assessing the impact of simulation length on the ultimate and fatigue loads of the structure, and will address uncertainties associated with changing the simulation length for the analyzed floating platform. Recommendations of required simulation length based on load uncertainty will be made and compared to current simulation length requirements.

Stewart, G.; Lackner, M.; Haid, L.; Matha, D.; Jonkman, J.; Robertson, A.

2013-07-01T23:59:59.000Z

180

The Utilization of Spin Polarized Photoelectron Spectroscopy as a Probe of Electron Correlation with an Ultimate Goal of Pu  

E-Print Network (OSTI)

with an Ultimate Goal of Pu J.G. Tobin 1 , S.W. Yu 1 , B.W.goal of resolving the Pu electronic structure controversy.question of the nature of the Pu electronic structure. [

Tobin, James

2009-01-01T23:59:59.000Z

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


181

Customer Feedback during Development of 1998 MECS: Mail/Electronic Survey  

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

1998 MECS User Needs 1998 MECS User Needs Mail/Electronic Survey Results A mail/electronic survey was conducted as part of the process to collect information on the data needs of MECS customers. The collection time frame was May 1 through July 31, 1998. The survey portion has been completed, and the total results are now available. During this three-month period, the electronic user-needs survey received about 207 hits. Yet, only 15 of those hits resulted in the transmission of a completed survey. Exactly 239 surveys were mailed to customers on the mailing list of the MECS publication. A total of 50 completed surveys (21% response rate) were returned, 32 of which resulted from a follow-up mail request. Only two surveys were returned by the 11 trade associations that were identified as MECS users. Where appropriate, the replies of those two TRADE

182

Independent review of estimated load reductions for PJM's small customer load response pilot project  

E-Print Network (OSTI)

customer mix and the number of customers with electric wateron a much- larger number (215) of customers, and despite thenumber of EWH program participants on each network: 631 customers

Heffner, G.; Moezzi, M.; Goldman, C.

2004-01-01T23:59:59.000Z

183

RECs: Tapping Into The Commercial Customer  

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

June 2004 issue June 2004 issue Copyright © 2004 Zackin Publications Inc. All Rights Reserved. RECs: Tapping Into The Commercial Customer Making the business case for renewable energy certificates bought by large corporations. BY CRAIG HANSON AND VINCE VAN SON I n last month's issue, we introduced the renewable energy certificate (REC), a relatively new product that represents the environmental and other non-electrical attributes associated with 1 MWh of electricity generated from renewable resources. We also reported that several major U.S. corporations, including Alcoa, Cargill Dow LLC, Delphi Corp., DuPont, Interface, Johnson & Johnson, Kinko's, Pitney Bowes and Sta- ples, completed the nation's largest aggre- gate corporate purchase of RECs in Sep- tember 2003. Together, these members of

184

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

185

Appendix B Sierra Nevada Region Customer Groups and Economic Regions  

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

A- Not available electronically. A- Not available electronically. Appendix B Sierra Nevada Region Customer Groups and Economic Regions The list included in this appendix shows the Sierra Nevada Region customers with contracts expiring in the year 2004. The list indicates which customer group each customer is considered a part of for purposes of analysis. The list also shows which economic region each customer is located in. Some customers are not included in a subregion of the central and northern California region. Further discussion of the economic regions is included in Section 4.9.4 and in Appendix L. Appendix C Renewable Technology Cost Information Matrix The development of the renewable technology matrix (RTM) was undertaken to determine the primary cost and performance characteristics of renewable technologies in

186

Future Power Systems 21 - The Smart Customer | Department of Energy  

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

1 - The Smart Customer 1 - The Smart Customer Future Power Systems 21 - The Smart Customer Future Power Systems 21 - The Smart Customer: From Future Power Systems (FPS) articles 18 and 19 we can see that there are a number of different trading and tariff mechanisms which can be employed on the utility to customer interface to enable participation. From article 20 we see that there will be different pricing profiles on similar day types due to changes in availability of renewable generation. Future Power Systems 21 - The Smart Customer More Documents & Publications Future Power Systems 20: The Smart Enterprise, its Objective and Forecasting. AARP, National Consumer Law Center, and Public Citizen Comments to:DEPARTMENT OF ENERGY Smart Grid RFI: Addressing Policy and Logistical

187

Simulating Customer Experience and Word-Of-Mouth in Retail -A Case Study  

E-Print Network (OSTI)

the number of satisfied customers at the end of the day to calculate the number of additional customers number of customers are in the department and consequently the demands placed on staff members customers and the lost customers is the same for both strategies. We count the number of customers from

Aickelin, Uwe

188

Categorical Exclusion for U.S. Customs and Border  

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

Exclusion for U.S. Customs and Border Exclusion for U.S. Customs and Border Protection Non-Intrusive Inspection Tests, Pacific Northwest National Laboratory, Richland, Washington Proposed Action To support U.S. Department of Homeland Security's Customs and Border Protection, the U.S. Department of Energy (DOE) Pacific Northwest Site Office (PNSO) proposes to perform testing of radiation detection equipment using a portable linear accelerator (LINAC) at the Pacific Northwest

189

Custom Renewable Energy Projects (Oregon) | Open Energy Information  

Open Energy Info (EERE)

on October 16, 2012. Financial Incentive Program Place Oregon Name Custom Renewable Energy Projects Incentive Type State Grant Program Applicable Sector Agricultural,...

190

Customer satisfaction of dining experience in Malaysian malay restaurants.  

E-Print Network (OSTI)

??The subject of this Ph.D. thesis is Customer Satisfaction in Malaysian Malay Restaurants Dining Experience. The research was conducted in three Malay family restaurants in (more)

Ismail, S.

2012-01-01T23:59:59.000Z

191

Customer Perceptions of Restaurant Cleanliness: A Cross Cultural Study.  

E-Print Network (OSTI)

??What is a clean restaurant in customers viewpoints? Restaurant cleanliness is considered one of the most significant conditions when customers evaluate overall restaurant quality or (more)

Yoo, Seung Ah

2012-01-01T23:59:59.000Z

192

Making the most of Responsive Electricity Customer. Energy Efficiency...  

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

Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive...

193

California Customer Load Reductions during the Electricity Crisis...  

Open Energy Info (EERE)

California Customer Load Reductions during the Electricity Crisis: Did They Help to Keep the Lights On? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: California...

194

Customer Survey Office of Field Financial Management | National...  

National Nuclear Security Administration (NNSA)

Customer Survey Office of Field Financial Management | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear...

195

Flexible, high?performance speech synthesizer using custom NMOS circuitry  

Science Conference Proceedings (OSTI)

A programmable digital signal processor (PDSP) intended primarily for speech synthesis applications has been developed using custom NMOS LSI circuitry. Key features include high speech quality

Jim Caldwell

1978-01-01T23:59:59.000Z

196

Smarter Meters Help Customers Budget Electric Service Costs  

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

1) two-way communications which allow customers to monitor their electricity consumption and take steps to better manage their electric bills; 2) a voluntary, pre-payment...

197

PEP-X: An Ultimate Storage Ring Based on Fourth-Order Geometric Achromats  

SciTech Connect

We have designed an 'ultimate' storage ring for the PEP-X light source that achieves the diffraction limited emittances (at 1.5 {angstrom}) of 12 pm-rad in both horizontal and vertical planes with a 4.5-GeV beam. These emittances include the contribution of intrabeam scattering at a nominal current of 200 mA in 3300 bunches. This quality beam in conjunction with a conventional 4-m undulator in a straight section can generate synchrotron radiation having a spectral brightness above 10{sup 22} [photons/s/mm{sup 2}/mrad{sup 2}/0.1% BW] at a 10 keV photon energy. The high coherence at the diffraction limit makes PEP-X competitive with 4th generation light sources based on an energy recovery linac. In addition, the beam lifetime is several hours and the dynamic aperture is large enough to allow off-axis injection. The alignment and stability tolerances, though challenging, are achievable. A ring with all these properties is only possible because of several major advances in mitigating the effects of nonlinear resonances.

Cai, Yunhai; Bane, Karl; Hettel, Robert; Nosochkov, Yuri; Wang, Min-Huey; /SLAC

2012-04-06T23:59:59.000Z

198

Ultimate capacity of suction caisson in normally and lightly overconsolidated clays  

E-Print Network (OSTI)

Petroleum exploration and production in recent years have moved into increasingly deeper water off the continental shelf. Some of these facilities are anchored in water depths in excess of 1000 meters. Exploration and production in deep water present new technological challenges where traditional fixed platforms have given way to floating structures. Today suction caissons are the most commonly used anchorage system for permanent offshore oil production facility. The objective of this study is to numerically predict the ultimate capacity of suction caissons in normally consolidated and lightly overconsolidated clays. Representative soil profile from the Gulf of Mexico and the North Sea are taken and analyzed for suction caissons with length over diameter ratios of 2, 4, 6 & 8. Normalized failure load interaction diagrams are generated for each of the cases. The location of optimum attachment point is also reported for each of the cases. General purpose finite element computer program ABAQUS is used for the numerical prediction. The finite element study is carried out with three-dimensional models using hybrid elements. A simplified elastic perfectly plastic model with von-Mises yield criterion is used for the study. The saturated clay is treated as an incompressible material. Results of the study compares well with existing simplified method for estimating load capacity of suction caisson anchors.

Sharma, Partha Pratim

2006-05-01T23:59:59.000Z

199

US Department of Energy radioisotope customers with summary of radioisotope shipments, FY 1988  

Science Conference Proceedings (OSTI)

Pacific Northwest Laboratory (PNL) prepared this edition of the radioisotope customer list at the request of the Office of Health and Environmental Research (ER-73), Office of Energy Research, US Department of Energy (DOE). This is the 25th report in a series dating from 1964. This report covers DOE radioisotope sales and distribution activities by its facilities to domestic, foreign and other DOE facilities for FY 1988. The report is divided into five sections: radioisotope suppliers, facility contacts, and radioisotopes or services supplied; a list of customers, suppliers, and radioisotopes purchased; a list of radioisotopes purchased cross-referenced to customer numbers; geographic locations of radioisotope customers; and radioisotope sales and transfers -- FY 1988. Radioisotopes not previously reported in this series of reports were argon-37, arsenic-72, arsenic-73, bismuth-207, gadolinium-151, rhenium-188, rhodium-101, selenium-72, xenon-123 and zirconium-88. The total value of DOE radioisotope sales for FY 1988 was $11.1 million, an increase of 3% from FY 1987.

Van Houten, N.C.

1989-06-01T23:59:59.000Z

200

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

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


201

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

202

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

203

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

204

BNL NONLINEAR PRE TEST SEISMIC ANALYSIS FOR THE NUPEC ULTIMATE STRENGTH PIPING TEST PROGRAM.  

SciTech Connect

The Nuclear Power Engineering Corporation (NUPEC) of Japan has been conducting a multi-year research program to investigate the behavior of nuclear power plant piping systems under large seismic loads. The objectives of the program are: to develop a better understanding of the elasto-plastic response and ultimate strength of nuclear piping; to ascertain the seismic safety margin of current piping design codes; and to assess new piping code allowable stress rules. Under this program, NUPEC has performed a large-scale seismic proving test of a representative nuclear power plant piping system. In support of the proving test, a series of materials tests, static and dynamic piping component tests, and seismic tests of simplified piping systems have also been performed. As part of collaborative efforts between the United States and Japan on seismic issues, the US Nuclear Regulatory Commission (USNRC) and its contractor, the Brookhaven National Laboratory (BNL), are participating in this research program by performing pre-test and post-test analyses, and by evaluating the significance of the program results with regard to safety margins. This paper describes BNL's pre-test analysis to predict the elasto-plastic response for one of NUPEC's simplified piping system seismic tests. The capability to simulate the anticipated ratcheting response of the system was of particular interest. Analyses were performed using classical bilinear and multilinear kinematic hardening models as well as a nonlinear kinematic hardening model. Comparisons of analysis results for each plasticity model against test results for a static cycling elbow component test and for a simplified piping system seismic test are presented in the paper.

DEGRASSI,G.; HOFMAYER,C.; MURPHY,C.; SUZUKI,K.; NAMITA,Y.

2003-08-17T23:59:59.000Z

205

Introduction of New Technologies to Competing Industrial Customers  

Science Conference Proceedings (OSTI)

Motivated by several examples from industry, such as the introduction of a biotechnology-based process innovation in nylon manufacturing, we consider a technology provider that develops and introduces innovations to a market of industrial customers---original ... Keywords: business-to-business, game theory, industrial customers, industrial markets, multistage game, technology adoption, technology introduction

Sanjiv Erat; Stylianos Kavadias

2006-11-01T23:59:59.000Z

206

An effective customization procedure with configurable standard models  

Science Conference Proceedings (OSTI)

In electronic catalogs, commodities such as computers and electronic equipment are specified as standard models although a variety of possible alternative specifications can exist as a combination of selected options; therefore, customized configurations ... Keywords: Case-based reasoning, Comparison shopping, Configuration, Constraint satisfaction problem, Customization

Hyun Jung Lee; Jae Kyu Lee

2005-11-01T23:59:59.000Z

207

Customer experience requirements for e-commerce websites  

Science Conference Proceedings (OSTI)

With the emergence of highly interactive applications on the World Wide Web has come a realisation that customer engagement is an increasingly important requirements consideration. It is currently not clear, however, what kinds of requirements websites ... Keywords: aesthetics, customer experience, e-commerce, electronic commerce, heuristics, purchase intentions, requirements engineering, usability, user satisfaction, web requirements, website content, website presentation, website usability

Oscar De Bruijn; Antonella De Angeli; Alistair Sutcliffe

2007-07-01T23:59:59.000Z

208

An integrated parameterized tool for designing a customized tracheal stent  

Science Conference Proceedings (OSTI)

The design of customized biomedical devices is certainly relevant nowadays, and to achieve higher implantation accuracy, custom-made implants need to be developed. The aim of this work is to present an integrated tool for the design of a tracheal stent ... Keywords: Additive manufacturing, Attribute listing, Design methodology, Inventive algorithm, QFD, TRIZ, Tracheal stent

Evila L. Melgoza; LDia Seren; Antoni Rosell; Joaquim Ciurana

2012-12-01T23:59:59.000Z

209

Customer Side Monitoring at a Waste Water Treatment Plant  

Science Conference Proceedings (OSTI)

This customer-side monitoring project correlated distribution-related power quality (PQ) events with customer side events and vice-versa and characterized equipment sensitivity to voltage variations. It also characterized overall levels of PQ on the feeder and in the facility and compared these levels with the national baseline sample being gathered for the Distribution Power Quality project.

2003-12-31T23:59:59.000Z

210

Customer Side Monitoring at an Automobile Brake Manufacturer  

Science Conference Proceedings (OSTI)

This customer-side monitoring project correlated distribution-related power quality (PQ) events with customer-side events and vice-versa and characterized equipment sensitivity to voltage variations. It also characterized overall levels of PQ on the feeder and in the facility and compared these levels with the national baseline sample being gathered for the Distribution Power Quality project.

2003-12-31T23:59:59.000Z

211

Customization and Marketing of Monsoon Forecasts A CSIRCMMACS Synergy  

E-Print Network (OSTI)

Customization and Marketing of Monsoon Forecasts A CSIRCMMACS Synergy Criteria for Technical forecasts of monsoon can significantly aid many sectors like agriculture, power and production industries to the operational forecast, to develop and deliver customized monsoon forecasts based on user need is required

Swathi, P S

212

Google Custom Search API [Google search in your hands  

E-Print Network (OSTI)

Google Custom Search API [Google search in your hands] Nicholas Weininger www.google.com/cse code.google.com/apis/customsearch #12;Our mission and history Google Custom Search allows anybody to leverage the Google search platform Used extensively within Google (Help Center, Blogger, etc.) #12;What does a Search API mean to us

Chakrabarti, Soumen

213

Isolating untrusted software extensions by custom scoping rules  

Science Conference Proceedings (OSTI)

In a modern programming language, scoping rules determine the visibility of names in various regions of a program. In this work, we examine the idea of allowing an application developer to customize the scoping rules of its underlying language. We demonstrate ... Keywords: Access control, Custom scoping rules, Java, Language-based security, Name visibility control

Philip W. L. Fong; Simon Orr

2010-10-01T23:59:59.000Z

214

Proceedings: Meeting Customer Needs With Heat Pumps--1989  

Science Conference Proceedings (OSTI)

Electric heat pumps provide a growing number of satisfied customers with space heating and cooling, humidity control, and water heating. Today's increasingly efficient heat pumps emphasize customer comfort and economy and help utilities satisfy their load-shape objectives in an environmentally acceptable manner.

1991-02-27T23:59:59.000Z

215

Product platform design and customization: Status and promise  

Science Conference Proceedings (OSTI)

In an effort to improve customization for today's highly competitive global marketplace, many companies are utilizing product families and platform-based product development to increase variety, shorten lead times, and reduce costs. The key to a successful ... Keywords: Mass Customization, Product Family, Product Platform, Product Variety

Timothy W. Simpson

2004-01-01T23:59:59.000Z

216

Definition: Customer Energy Management Device and System | Open Energy  

Open Energy Info (EERE)

Device and System Device and System Jump to: navigation, search Dictionary.png Customer Energy Management Device and System A device that can control other energy devices such as thermostats, lighting, direct load control devices, or distributed energy resource within the customer premise. These devices may also receive information or control signals from utillities or third party energy service providers. These devices can help customers manage electricity usage automatically by utilizing information from service providers, or preferences set by the customer.[1] Related Terms energy, electricity generation, distributed energy resource References ↑ https://www.smartgrid.gov/category/technology/customer_energy_management_device_and_system [[Cat LikeLike UnlikeLike You like this.Sign Up to see what your friends like.

217

Making the most of Responsive Electricity Customer. Energy Efficiency and  

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

Making the most of Responsive Electricity Customer. Energy Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? More Documents & Publications 2012 Advanced Applications Research & Development Peer Review - Day 2 Presentations Energy Storage Systems 2010 Update Conference Presentations - Day 2, Session 2

218

Making the most of Responsive Electricity Customer. Energy Efficiency and  

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

Making the most of Responsive Electricity Customer. Energy Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? More Documents & Publications 2012 Advanced Applications Research & Development Peer Review - Day 2 Presentations Demand Response National Trends: Implications for the West? Energy Storage Systems 2010 Update Conference Presentations - Day 2,

219

Customer Name: (First name, middle initial, last name) Social Security Number or Federal ID Number TAMU Customer Number (if assigned) Customer Information: Persons authorized to make purchases on this account  

E-Print Network (OSTI)

Customer Name: (First name, middle initial, last name) Social Security Number or Federal ID Number TAMU Customer Number (if assigned) Customer Information: Persons authorized to make purchases: Email Address: Phone: Fax: Phone: Fax: Name: Title: Customer Representative Signature: Date: This form

Meagher, Mary

220

Proximate and Ultimate Compositional Changes in Corn Stover during Torrefaction using Thermogravimetric Analyzer and Microwaves  

SciTech Connect

Abstract The world is currently aiming to reduce the dependence on fossil fuels and to achieve a sustainable renewable supply. Renewable energies represent a diversity of energy sources that can help to maintain the equilibrium of different ecosystems. Among the various sources of renewable energy, biomass is considered carbon neutral because the carbon dioxide released during its use is already part of the carbon cycle. Increasing the use of biomass for energy can help to reduce the negative CO2 impact on the environment and help meet the targets established in the Kyoto Protocol. Energy from biomass can be produced from different processes, including thermochemical (direct combustion, gasification, and pyrolysis), biological (anaerobic digestion, fermentation), or chemical (esterification) technologies. There are lot challenges in using biomass for energy applications. To name few low bulk density, high moisture content, irregular size and shape, hydrophilic nature and low calorific value. In commercial scale operation large quantities of biomass are needed and this will create problems associated with storage and transportation. Furthermore, grinding raw biomass with high moisture content is very challenging as there are no specific equipments and can increase the costs and in some cases it becomes highly impossible. All of these drawbacks led to development of some pretreatment techniques to make biomass more suitable for fuel applications. One of the promising techniques is torrefaction. Torrefaction is heating the biomass in an inert environment or reduced environment. During torrefaction biomass losses moisture, becomes more brittle and with increased energy density values. There are different techniques used for torrefaction of biomass. Fixed bed, bubbling sand bed and moving bed are the most common ones used. The use of microwaves for torrefaction purposes has not been explored. In the present study we looked into the torrefaction of biomass using the regular and microwaves and their effect on proximate and ultimate composition. Studies indicated that microwave torrefaction is a good way to torrefy the biomass in short periods of time. A maximum calorific value of 21 MJ/kg is achievable at 6 min residence time compared to 15 min using the dry torrefaction technique. Increasing the residence time increased the carbon content where a maximum carbon content of 52.20 % was achievable at lower residence time. The loss of volatiles is comparatively lower compared to dry torrefaction technique. Moisture content of microwave torrefied samples was in between 2-2.5 % (w.b).

Jaya Shankar Tumuluru

2012-07-01T23:59:59.000Z

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


221

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

222

Towards real-time measurement of customer satisfaction using automatically generated call transcripts  

Science Conference Proceedings (OSTI)

Customer satisfaction is a very important indicator of how successful a contact center is at providing services to the customers. Contact centers typically conduct a manual survey with a randomly selected group of customers to measure customer satisfaction. ... Keywords: classification, contact center calls, customer satisfaction, machine learning, natural language processing, speech analytics, text mining

Youngja Park; Stephen C. Gates

2009-11-01T23:59:59.000Z

223

U.S. Total Exports  

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

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

224

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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

225

Energy Bundle Bonus (WPS Customers Only) | Department of Energy  

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

Bundle Bonus (WPS Customers Only) Bundle Bonus (WPS Customers Only) Energy Bundle Bonus (WPS Customers Only) < Back Eligibility Agricultural Commercial Construction Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Tribal Government Savings Category Other Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Construction Design & Remodeling Manufacturing Appliances & Electronics Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate 75% of project cost or $25,000 Program Info State Wisconsin Program Type State Rebate Program Rebate Amount 2 unrelated projects: 25% bonus 3 unrelated projects: 50% bonus

226

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

227

Unlocking Customer Value: The Virtual Power Plant | Department of Energy  

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

Unlocking Customer Value: The Virtual Power Plant Unlocking Customer Value: The Virtual Power Plant Unlocking Customer Value: The Virtual Power Plant The utility world has changed drastically in the last 10 years. New technologies like Smart Meters and fully functional Smart Grid concepts have made large inroads into the utility space and no one should want to be left behind. Utilities also face additional pressures from regulatory bodies who are continuing to encourage carbon reduction and greater customer flexibility. Utilities need to balance these new requirements with the financial obligations of providing reliable power (at a reasonable price) while attempting to meet shareholder expectations. Each of these goals are not necessarily complimentary, thus utilities need to determine how to address each one.

228

Definition: Smart Appliances And Equipment (Customer) | Open Energy  

Open Energy Info (EERE)

Appliances And Equipment (Customer) Appliances And Equipment (Customer) Jump to: navigation, search Dictionary.png Smart Appliances And Equipment (Customer) Home appliances and devices (i.e., thermostats, pool pumps, clothes washers/dryers, water heaters, etc.) that use wireless technology (i.e., ZigBee) to receive real-time data from the AMI system to control or modulate their operation.[1] Related Terms advanced metering infrastructure, smart grid References ↑ [www.smartgrid.gov/sites/default/files/pdfs/description_of_assets.pdf SmartGrid.gov 'Description of Assets'] An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Smart_Appliances_And_Equipment_(Customer)&oldid=493118"

229

New Tool Yields Custom Environmental Data for Lifecycle Analysis |  

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

Tool Yields Custom Environmental Data for Lifecycle Analysis Tool Yields Custom Environmental Data for Lifecycle Analysis New Tool Yields Custom Environmental Data for Lifecycle Analysis September 10, 2012 - 1:00pm Addthis Washington, DC - A new, free online tool developed by a Department of Energy (DOE) laboratory allows users to customize and analyze the environmental impact of various fuels before they are used to create power. Information from the Excel™-based Upstream Dashboard - developed by the Office of Fossil Energy's National Energy Technology Laboratory (NETL) - can be used with other data or models to build an emissions inventory of various feedstocks as part of a comprehensive lifecycle analysis of the fuels. Lifecycle analysis is a new and innovative way to analyze and compare different pathways for producing power and transportation fuels.

230

LADWP - Non-Residential Custom Performance Program | Department of Energy  

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

Non-Residential Custom Performance Program Non-Residential Custom Performance Program LADWP - Non-Residential Custom Performance Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Local Government Nonprofit State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Appliances & Electronics Commercial Lighting Lighting Program Info State California Program Type Utility Rebate Program Rebate Amount Lighting: $ 0.05 per kWh saved Air-Conditioning and Refrigeration (AC&R): $ 0.14 per kWh saved Other Equipment: $ 0.08 per kWh saved Wet Cleaning: $4,000 per cleaner Provider Los Angeles Department of Water and Power Los Angeles Department of Water and Power offers incentives to non-residential customers for the installation of energy saving measures,

231

California Customer Load Reductions during the Electricity Crisis: Did They  

Open Energy Info (EERE)

California Customer Load Reductions during the Electricity Crisis: Did They California Customer Load Reductions during the Electricity Crisis: Did They Help to Keep the Lights On? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: California Customer Load Reductions during the Electricity Crisis: Did They Help to Keep the Lights On? Focus Area: Energy Efficiency Topics: Socio-Economic Website: eetd.lbl.gov/ea/ems/reports/49733.pdf Equivalent URI: cleanenergysolutions.org/content/california-customer-load-reductions-d Language: English Policies: Regulations Regulations: Mandates/Targets This report details the predicted electricity shortages and blackouts in California (summer 2001) that never occured, in part due to energy conservation measures taken on by the people of California. Intense media coverage and information campaigns about energy efficiency as well as

232

V-152: Cisco Unified Customer Voice Portal (CVP) Multiple Vulnerabilities |  

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

2: Cisco Unified Customer Voice Portal (CVP) Multiple 2: Cisco Unified Customer Voice Portal (CVP) Multiple Vulnerabilities V-152: Cisco Unified Customer Voice Portal (CVP) Multiple Vulnerabilities May 9, 2013 - 6:00am Addthis PROBLEM: Multiple vulnerabilities have been reported in Cisco Unified Customer Voice Portal (CVP) PLATFORM: The vulnerabilities are reported in versions prior to 9.0.1 ES 11 ABSTRACT: Various components of Cisco Unified CVP are affected. These vulnerabilities can be exploited independently; however, more than one vulnerability could be exploited on the same device. REFERENCE LINKS: Secunia Advisory SA53306 Cisco Advisory ID cisco-sa-20130508-cvp Cisco Applied Mitigation Bulletin CVE-2013-1220 CVE-2013-1221 CVE-2013-1222 CVE-2013-1223 CVE-2013-1224 CVE-2013-1225 IMPACT ASSESSMENT: Medium DISCUSSION:

233

New Tool Yields Custom Environmental Data for Lifecycle Analysis |  

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

New Tool Yields Custom Environmental Data for Lifecycle Analysis New Tool Yields Custom Environmental Data for Lifecycle Analysis New Tool Yields Custom Environmental Data for Lifecycle Analysis September 10, 2012 - 1:00pm Addthis Washington, DC - A new, free online tool developed by a Department of Energy (DOE) laboratory allows users to customize and analyze the environmental impact of various fuels before they are used to create power. Information from the Excel™-based Upstream Dashboard - developed by the Office of Fossil Energy's National Energy Technology Laboratory (NETL) - can be used with other data or models to build an emissions inventory of various feedstocks as part of a comprehensive lifecycle analysis of the fuels. Lifecycle analysis is a new and innovative way to analyze and compare different pathways for producing power and transportation fuels.

234

Customer Survey Office of Field Financial Management | National Nuclear  

National Nuclear Security Administration (NNSA)

Customer Survey Office of Field Financial Management | National Nuclear Customer Survey Office of Field Financial Management | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Our Operations > Acquisition and Project Management > Office of Financial Field Management > Customer Survey Office of Field Financial Management Customer Survey Office of Field Financial Management

235

Unlocking Customer Value: The Virtual Power Plant | Department of Energy  

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

Unlocking Customer Value: The Virtual Power Plant Unlocking Customer Value: The Virtual Power Plant Unlocking Customer Value: The Virtual Power Plant The utility world has changed drastically in the last 10 years. New technologies like Smart Meters and fully functional Smart Grid concepts have made large inroads into the utility space and no one should want to be left behind. Utilities also face additional pressures from regulatory bodies who are continuing to encourage carbon reduction and greater customer flexibility. Utilities need to balance these new requirements with the financial obligations of providing reliable power (at a reasonable price) while attempting to meet shareholder expectations. Each of these goals are not necessarily complimentary, thus utilities need to determine how to address each one.

236

Idaho Power - Commercial Custom Efficiency Program | Department of Energy  

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

Idaho Power - Commercial Custom Efficiency Program Idaho Power - Commercial Custom Efficiency Program Idaho Power - Commercial Custom Efficiency Program < Back Eligibility Commercial Industrial Institutional Local Government Nonprofit Schools State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Appliances & Electronics Commercial Lighting Lighting Program Info Funding Source Conservation Program Funding Charge Energy Efficiency Riders State Oregon Program Type Utility Rebate Program Rebate Amount 0.12/kWh saved or 70% of project cost, whichever is less. Provider Idaho Power Company Large commercial and industrial Idaho Power customers that reduce energy usage through more efficient electrical commercial and industrial processes may qualify for an incentive that is the lesser of either 12 cents per

237

Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency  

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

Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency Incentives Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency Incentives < Back Eligibility Commercial Industrial Multi-Family Residential Nonprofit Savings Category Other Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Sealing Your Home Ventilation Heat Pumps Heating Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate $600,000/year/facility. Incentives $1-$200,000: paid at 100% Incentives $200,000-$600,000: paid at 50% Custom: 50% of incremental cost Retro-Commissioning: $200,000/year/facility; $100,000/project Leak Survey: $10,000

238

DOE Challenge Home Case Study, Transformations, Inc., Custom...  

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

to come. When Wes Parlee moved his family of three into their new 1,912-square-foot custom home in April 2012, he knew he'd get lower energy bills but he was still a bit...

239

The California Solar Initiative: Cost Trends in Customer-Sited...  

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

The California Solar Initiative: Cost Trends in Customer-Sited PV Installations and the Impact of Retail Rate Design on the Economics of PV Systems Speaker(s): Ryan Wiser Date:...

240

A methodology to assess cost implications of automotive customization  

E-Print Network (OSTI)

This thesis focuses on determining the cost of customization for different components or groups of components of a car. It offers a methodology to estimate the manufacturing cost of a complex system such as a car. This ...

Fournier, Latitia

2005-01-01T23:59:59.000Z

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


241

Better Buildings Neighborhood Program: Keep Customers-and Energy...  

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

Energy-From Slipping Through the Cracks to someone by E-mail Share Better Buildings Neighborhood Program: Keep Customers-and Energy-From Slipping Through the Cracks on...

242

A computational approach to custom data representation for hardware accelerators  

Science Conference Proceedings (OSTI)

This thesis details the application of computational methods to the problem of determining custom data representations when building hardware accelerators for numerical computations. A majority of scientific applications which require hardware ...

Adam B. Kinsman

2010-01-01T23:59:59.000Z

243

Pluggable type-checking for custom type qualifiers in Java  

E-Print Network (OSTI)

We have created a framework for adding custom type qualifiers to the Javalanguage in a backward-compatible way. The type system designer definesthe qualifiers and creates a compiler plug-in that enforces theirsemantics. ...

Papi, Matthew M.

2007-09-17T23:59:59.000Z

244

High temperature solid oxide fuel cell: Customer test units  

DOE Green Energy (OSTI)

There are three 25-kW class SOFC customer test unit programs; two are in Japan (utility joint ventures), one for Southern California Edison Co. The two in Japan are described: Startup, testing, modifications, and operational performance are discussed.

Ray, E.R.; Veyo, S.E.

1993-11-01T23:59:59.000Z

245

Delivery optimization for a make to order custom wire mill  

E-Print Network (OSTI)

In the face of growing competition in the Tantalum business, H.C.Starck's management is minimizing the delivery time for custom-made capacitor-grade tantalum wire products. H.C. Starck, Inc., Newton, Massachusetts faces ...

Slivinskiy, Andrey L

2005-01-01T23:59:59.000Z

246

PowerChoice Residential Customer Response to TOU Rates  

E-Print Network (OSTI)

1983. Time-of-Day Electricity Rates for the United States.Effect of Time-of-Use Rates In the Los Angeles ElectricityCustomer Response to TOU Rates. Research Into Action. Public

Peters, Jane S.

2010-01-01T23:59:59.000Z

247

Ameren Illinois (Electric)- Custom, HVAC, and Motor Business Efficiency Incentives  

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

Prescriptive rebates are available for many HVAC and motor efficiency improvements. Pre-approval is required for all rebates. The programs are available only to non-residential customers that...

248

Smart customization : making evidence-based environmental decisions  

E-Print Network (OSTI)

This thesis examines the environmental benefits created by the manufacture, distribution, and consumer use of products that are mass customized (MC) or produced "on-demand" and tailored to individual end-user preferences. ...

Chin, Ryan C. C., 1974-

2012-01-01T23:59:59.000Z

249

Custom circuit design as a driver of microprocessor performance  

Science Conference Proceedings (OSTI)

This paper presents a survey of some of the most aggressive custom designs for CMOS processor products and prototypes in IBM. We argue that microprocessor performance growth, which has traditionally been driven primarily by CMOS technology and microarchitectural ...

D. H. Allen; S. H. Dhong; H. P. Hofstee; J. Leenstra; K. J. Nowka; D. L. Stasiak; D. F. Wendel

2000-11-01T23:59:59.000Z

250

Guide to Custom Reporting in Portfolio Manager®  

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

o o o "How To" Series Guide to Custom Reporting in Portfolio Manager ® EPA's ENERGY STAR Portfolio Manager ® tool helps you measure and track energy use, water use, and greenhouse gas emissions of your buildings, all in a secure online environment. You can use the results to identify under-performing buildings, set investment priorities, verify efficiency improvements, and receive EPA recognition for superior energy performance. The reporting feature in Portfolio Manager offers a variety of reports and graphics to help you view and share Create a Custom Report 1. Create a report template. 2. Use the template you created to: Generate a custom report. Share your template. Request data from others. performance metrics. This includes standard reports with popular metrics, as well as custom reports

251

AEP Ohio - Commercial Custom Project Rebate Program | Department of Energy  

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

- Commercial Custom Project Rebate Program - Commercial Custom Project Rebate Program AEP Ohio - Commercial Custom Project Rebate Program < Back Eligibility Commercial Fed. Government Industrial Institutional Local Government Nonprofit Schools State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 50% of cost up to $300,000/project $600,000/year Sliding scale incentive reduction when calculated incentive exceeds $160,000/project. Program Info State Ohio Program Type Utility Rebate Program Rebate Amount 0.08/kWh (for one year energy savings) plus 100/kW AEP's demand reduction (at summer peak) Provider AEP Ohio AEP Ohio offers commercial customers incentives to upgrade inefficient

252

Custom Coolers: Proposed Penalty (2013-CE-5315) | Department of Energy  

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

Proposed Penalty (2013-CE-5315) Proposed Penalty (2013-CE-5315) Custom Coolers: Proposed Penalty (2013-CE-5315) January 31, 2013 DOE alleged in a Notice of Proposed Civil Penalty that Custom Coolers, LLC, failed to certify walk-in cooler or freezer (WICF) components as compliant with the energy conservation standards. DOE regulations require a manufacturer (which includes importers) to submit reports certifying that its products have been tested and meet the applicable energy conservation standards. This civil penalty notice advises the company of the potential penalties and DOE's administrative process, including the company's right to a hearing. Custom Coolers: Proposed Penalty (2013-CE-5315) More Documents & Publications Custom Coolers: Order (2013-CE-5315) Imperial Manufacturing: Proposed Penalty (2013-CE-5322)

253

Natural Gas Utility Restructuring and Customer Choice Act (Montana)  

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

These regulations apply to natural gas utilities that have restructured in order to acquire rate-based facilities. The regulations address customer choice offerings by natural gas utilities, which...

254

Revamping luxury : mass customization applied to the luxury goods market  

E-Print Network (OSTI)

This thesis seeks to understand how the crisis has impacted the definition of luxury goods in the mind of consumers and the implications this has for luxury goods companies. It also aims to present Mass Customization as ...

Edouard, Mlissa Susan Caroline Coleman

2009-01-01T23:59:59.000Z

255

Optimal Reservation Deposit Policies in the Presence of Rational Customers and Retail Competition  

E-Print Network (OSTI)

which an uncertain number of customers, with valuation needrm can estimate the number of customers who would attempt torm to determine the number of customers who would attempt to

Georgiadis, G.; Tang, C. S.

2010-01-01T23:59:59.000Z

256

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

257

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

258

Customer Participation in Behavioral Programs: A Review of Recruitment Experiences  

Science Conference Proceedings (OSTI)

As utilities seek new ways to develop relationships with their customers, as well as find new sources for electricity savings to help achieve ambitious energy efficiency goals, behavioral programs have been gaining more attention. However, many questions remain with regard to three main aspects of customer response as it relates to behavioral programs: participation, performance, and persistence. This report focuses solely on the participation aspect, which, of the three, is probably ...

2013-03-26T23:59:59.000Z

259

CLASSIFY-Applications: Volume 1: Gathering Information About Your Customers  

Science Conference Proceedings (OSTI)

EPRI's CLASSIFY System helps utilities understand the lifestyle, business, and energy needs of their residential, commercial, and industrial customers. These needs form the foundation of the attitudes and values that drive end-use equipment purchases and energy consumption. Such information is crucial if utilities are to develop and deliver customer-driven products and services. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/...

1995-05-11T23:59:59.000Z

260

Interoperability Robustness Checklist for Metering and Customer Communications  

Science Conference Proceedings (OSTI)

This report provides a strategic framework and a simplified checklist for the development and design of future dynamic customer-to-utility and customer-to-service-provider systems such as advanced metering and demand response. This framework and checklist is intended to help utilities ensure the technology they are deploying is flexible and robust enough to avoid premature obsolescence, vendor lock-in, and/or system-wide forklift upgrades.

2008-01-17T23:59:59.000Z

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


261

Customer Satisfaction Assessment at the Pacific Northwest National Laboratory  

SciTech Connect

The Pacific Northwest National Laboratory (PNNL) is developing and implementing a customer satisfaction assessment program (CSAP) to assess the quality of research and development provided by the laboratory. We present the customer survey component of the PNNL CSAP. The customer survey questionnaire is composed of 2 major sections, Strategic Value and Project Performance. The Strategic Value section of the questionnaire consists of 5 questions that can be answered with a 5 point Likert scale response. These questions are designed to determine if a project is directly contributing to critical future national needs. The Project Performance section of the questionnaire consists of 9 questions that can be answered with a 5 point Likert scale response. These questions determine PNNL performance in meeting customer expectations. Many approaches could be used to analyze customer survey data. We present a statistical model that can accurately capture the random behavior of customer survey data. The properties of this statistical model can be used to establish a "gold standard'' or performance expectation for the laboratory, and then assess progress. The gold standard is defined from input from laboratory management --- answers to 4 simple questions, in terms of the information obtained from the CSAP customer survey, define the standard: *What should the average Strategic Value be for the laboratory project portfolio? *What Strategic Value interval should include most of the projects in the laboratory portfolio? *What should average Project Performance be for projects with a Strategic Value of about 2? *What should average Project Performance be for projects with a Strategic Value of about 4? We discuss how to analyze CSAP customer survey data with this model. Our discussion will include "lessons learned" and issues that can invalidate this type of assessment.

Anderson, Dale N.; Sours, Mardell L.

2000-03-20T23:59:59.000Z

262

Customer satisfaction assessment at the Pacific Northwest National Laboratory  

SciTech Connect

The Pacific Northwest National Laboratory (PNNL) is developing and implementing a customer satisfaction assessment program (CSAP) to assess the quality of research and development provided by the laboratory. This report presents the customer survey component of the PNNL CSAP. The customer survey questionnaire is composed of two major sections: Strategic Value and Project Performance. Both sections contain a set of questions that can be answered with a 5-point Likert scale response. The strategic value section consists of five questions that are designed to determine if a project directly contributes to critical future national needs. The project Performance section consists of nine questions designed to determine PNNL performance in meeting customer expectations. A statistical model for customer survey data is developed and this report discusses how to analyze the data with this model. The properties of the statistical model can be used to establish a gold standard or performance expectation for the laboratory, and then to assess progress. The gold standard is defined using laboratory management input--answers to four questions, in terms of the information obtained from the customer survey: (1) What should the average Strategic Value be for the laboratory project portfolio? (2) What Strategic Value interval should include most of the projects in the laboratory portfolio? (3) What should average Project Performance be for projects with a Strategic Value of about 2? (4) What should average Project Performance be for projects with a Strategic Value of about 4? To be able to provide meaningful answers to these questions, the PNNL customer survey will need to be fully implemented for several years, thus providing a link between management perceptions of laboratory performance and customer survey data.

DN Anderson; ML Sours

2000-03-23T23:59:59.000Z

263

21st Century Customers: Volume 2: Business and Commerce  

Science Conference Proceedings (OSTI)

Understanding and meeting the evolving needs of business customers could be critical to the future prosperity of energy enterprises. This report examines five significant commercial sector businesses that are undergoing dramatic changes in their markets and relationships to consumers -- retail and food, wholesaling and warehousing, offices, health care, and education. The report provides a companion to Volume 1, 21st Century Customers: Volume 1: Industry and Manufacturing, covering the evolving needs of ...

1999-02-10T23:59:59.000Z

264

21st Century Customers: Volume 1: Industry and Manufacturing  

Science Conference Proceedings (OSTI)

Understanding and meeting the evolving needs of industrial customers could be critical to the future prosperity of energy enterprises. This report examines five significant industries that are undergoing dramatic changes in their markets and relationships to buyers of their products -- steel and aluminum, paper and pulp, chemicals, plastics, and food processing. The report provides a companion to Volume 2, 21st Century Customers: Volume 2: Business and Commerce, covering the evolving needs of five commer...

1999-02-10T23:59:59.000Z

265

Synthesis of Custom Processors based on Extensible Platforms  

E-Print Network (OSTI)

E#ciency and flexibility are critical, but often conflicting, design goals in embedded system design. The recent emergence of extensible processors promises a favorable tradeo# between e#- ciency and flexibility, while keeping design turnaround times short. Current extensible processor design flows automate several tedious tasks, but typically require designers to manually select the parts of the program that are to be implemented as custom instructions. In this work, we describe an automatic methodology to select custom instructions to augment an extensible processor, in order to maximize its e#ciency for a given application program. We demonstrate that the number of custom instruction candidates grows rapidly with program size, leading to a large design space, and that the quality (speedup) of custom instructions varies significantly across this space, motivating the need for the proposed flow. Our methodology features cost functions to guide the custom instruction selection process, as well as static and dynamic pruning techniques to eliminate inferior parts of the design space from consideration. Further, we employ a two-stage process, wherein a limited number of promising instruction candidates are first selected, and then evaluated in more detail through cycle-accurate instruction set simulation and synthesis of the corresponding hardware, to identify the custom instruction combinations that result in the highest program speedup or maximize speedup under a given area constraint.

Fei Sun; Srivaths Ravi; Anand Raghunathan; Niraj K. Jha

2002-01-01T23:59:59.000Z

266

Customer reponse to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York  

E-Print Network (OSTI)

Business Type Number of Customers Industrial Commercialwe identified a number of customer-specific factors that wealso constructed a number of customer-specific categorical

2004-01-01T23:59:59.000Z

267

The Effect on Electricity Consumption of the Commonwealth Edison Customer Applications Program: Phase 2 Final Analysis  

Science Conference Proceedings (OSTI)

This report describes the final Phase 2 analysis of the effects on residential customers' energy consumption patterns of Commonwealth Edison's (ComEd's) Customer Application Program (CAP).

2011-10-20T23:59:59.000Z

268

California customer load reductions during the electricity crisis: Did they help to keep the lights on?  

E-Print Network (OSTI)

Gas Residential Electricity Residential Gas Rate ($/therm)Residential customers were on an inverted block rate for electricityelectricity rates by customer (CPUC, 2001a). For residential

Goldman, Charles A.; Eto, Joseph H.; Barbose, Galen L.

2002-01-01T23:59:59.000Z

269

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

residential customers with peak demand greater than 350 kWs) Eligible Customers (peak demand) Optional hourly pricingis relatively small; the peak demand of its large, non-

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

270

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan...

271

"2012 Retail Power Marketers Sales- Total"  

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

Total" Total" "(Data from form EIA-861 schedule 4B)" "Entity","State","Ownership","Customers (Count)","Sales (Megawatthours)","Revenues (Thousands Dollars)","Average Price (cents/kWh)" "3 Phases Renewables","CA","Power Marketer",354,148820,7268.5,4.8840882 "Calpine Power America LLC","CA","Power Marketer",1,1072508,54458,5.0776311 "City of Corona - (CA)","CA","Municipal",859,65933,5749.5,8.720216 "Commerce Energy, Inc.","CA","Power Marketer",23386,596604,37753,6.3279831 "Constellation NewEnergy, Inc","CA","Power Marketer",362,4777373,250287.4,5.2390173

272

"2012 Utility Bundled Retail Sales- Total"  

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

Total" Total" "(Data from forms EIA-861- schedules 4A & 4D and EIA-861S)" "Entity","State","Ownership","Customers (Count)","Sales (Megawatthours)","Revenues (Thousands Dollars)","Average Price (cents/kWh)" "Alaska Electric Light&Power Co","AK","Investor Owned",16180,399144,41820,10.477422 "Alaska Power and Telephone Co","AK","Investor Owned",6976,64788,18175,28.053035 "Alaska Village Elec Coop, Inc","AK","Cooperative",7923,73956,42708,57.74785 "Anchorage Municipal Light and Power","AK","Municipal",30747,1100665,100959.2,9.1725639 "Barrow Utils & Elec Coop, Inc","AK","Cooperative",1871,49580,5293,10.675676

273

Custom-Instruction Synthesis for Extensible-Processor Platforms  

E-Print Network (OSTI)

Efficiency and flexibility are critical, but often conflicting, design goals in embedded system design. The recent emergence of extensible processors promises a favorable tradeoff between efficiency and flexibility, while keeping design turnaround times short. Current extensible processor design flows automate several tedious tasks, but typically require designers to manually select the parts of the program that are to be implemented as custom instructions. In this work, we describe an automatic methodology to select custom instructions to augment an extensible processor, in order to maximize its efficiency for a given application program. We demonstrate that the number of custom instruction candidates grows rapidly with program size, leading to a large design space, and that the quality (speedup) of custom instructions varies significantly across this space, motivating the need for the proposed flow. Our methodology features cost functions to guide the custom instruction selection process, as well as static and dynamic pruning techniques to eliminate inferior parts of the design space from consideration. Furthermore, we employ a two-stage process, wherein a limited number of promising instruction candidates are first short-listed using efficient selection criteria, and then evaluated in more detail through cycle-accurate instruction set simulation and synthesis of the corresponding hardware, to identify the custom instruction combinations that result in the highest program speedup or maximize speedup under a given area constraint. We have evaluated the proposed techniques using a state-of-the-art extensible processor platform, in the context of a commercial design flow. Experiments with several benchmark programs indicate that custom processors synthesized using automa...

Fei Sun; Student Member; Anand Raghunathan; Srivaths Ravi; Senior Member; Niraj K. Jha

2004-01-01T23:59:59.000Z

274

Utilities Sell Lighting, Cooling and Heating to Large Customers  

E-Print Network (OSTI)

The electric utility industry is entering an era of unprecedented competition. Competition from traditional sources such as natural gas companies, customer cogeneration, and independent power producers are being joined by new sources of competition, namely, other electric utilities. Compounding this situation are two recent occurrences: 1) the passage of the Energy Policy Act of 1992 which encourages wheeling, and 2) the trend toward institutional and industrial customers outsourcing energy generation and production facilities to third-parties. The electric utility industry is searching for ways to combat this competition, develop more value-added services for their customers, and establish long-term contractual relationships with their important customers. Many utilities are considering selling customers not just electrical energy but the more usable forms of energy like lumens of light, chilled water, hot water, and steam. This paper and presentation will outline the recent and near future electric utility operating environment, introduce the numerous benefits that electric utilities derive from selling end-use output, and outline a number of utility efforts to develop end-use products and services.

Horne, M. L.; Zien, H. B.

1996-04-01T23:59:59.000Z

275

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

276

OSTI Customized, Office of Scientific and Technical Information, USDOE  

Office of Scientific and Technical Information (OSTI)

Customized Resources for Others Customized Resources for Others OSTI applies these capabilities to provide customized information tools and services for individual DOE offices and non-DOE government entities on a cost-reimbursable basis. These services are provided under the authority of the Economy Act (31 U.S.C. 1535-36). Expertise is available in a range of technical areas, including: Information science and subject-matter analysis Metadata and full-text management Electronic dissemination using various media Distributed searching Data harvesting OSTI develops and maintains subject-specific databases, web portals and websites, manages information systems, and provides electronic publishing and creative services to help DOE program offices, other government agencies, and international organizations better manage their information

277

Customer Demand Issues in SmartGrids European Platform: Relevant  

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

Customer Demand Issues in SmartGrids European Platform: Relevant Customer Demand Issues in SmartGrids European Platform: Relevant Initiatives Speaker(s): Carlos Alvarez-Bel Date: June 26, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette SmartGrids technological platform was created by the European Commission in order to develop and identify research topics and objectives to facilitate the implementation of future electric grids. Smart grid is, by definition, user-centric, which implies that enhancing and promoting customer participation in electricity markets and systems, from efficiency to demand response, is a key goal. Efficiency targets in Europe (20% energy reduction in 2020) will probably not be met and, on the contrary, the renewable generation share target of 20% for the same year seems affordable. These

278

Smarter Meters Help Customers Budget Electric Service Costs  

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

Tri-State Smart Grid Investment Grant Tri-State Smart Grid Investment Grant 1 Tri-State's service area includes parts of Fannin County, Georgia; Polk County, Tennessee; and Cherokee County, North Carolina. Smarter Meters Help Customers Budget Electric Service Costs Tri-State Electric Membership Cooperative (Tri-State) is a distribution rural electric cooperative that primarily serves more than 12,000 rural customers, many of whom have low-incomes living at or near poverty level across a multi-state region (see map). Under their smart grid project, Tri-State has replaced conventional electromechanical meters with solid-state smart meters and implemented advanced electricity service programs in order to give customers greater control over their energy use and costs.

279

RPS Customer-Sited Tier Regional Program | Department of Energy  

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

RPS Customer-Sited Tier Regional Program RPS Customer-Sited Tier Regional Program RPS Customer-Sited Tier Regional Program < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Savings Category Bioenergy Solar Buying & Making Electricity Maximum Rebate 50% of installed costs; $6 million per applicant per round; and $3 million per individual project Program Info Funding Source RPS Surcharge Start Date 2011 Expiration Date 08/29/2013 State New York Program Type Performance-Based Incentive Rebate Amount Varies; applicants propose incentive levels (up to a 15% bonus for facilities located in Strategic Locations); up-front and performance payments available Provider New York State Energy Research and Development Authority

280

Approaches to Electric Utility Energy Efficiency for Low Income Customers  

Open Energy Info (EERE)

Approaches to Electric Utility Energy Efficiency for Low Income Customers Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Focus Area: Energy Efficiency Topics: Best Practices Website: www.ornl.gov/~webworks/cppr/y2001/misc/99601.pdf Equivalent URI: cleanenergysolutions.org/content/approaches-electric-utility-energy-ef Language: English Policies: "Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. Regulations: Feebates This report, written for members of the Weatherization Assistance Program

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


281

Redefining Customer Service is Essential to Modernizing Grid | Department  

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

Redefining Customer Service is Essential to Modernizing Grid Redefining Customer Service is Essential to Modernizing Grid Redefining Customer Service is Essential to Modernizing Grid December 13, 2010 - 2:44pm Addthis Patricia A. Hoffman Patricia A. Hoffman Assistant Secretary, Office of Electricity Delivery & Energy Reliability What does this mean for me? Utilities should be communicating to you about projects to modernize the grid that are effecting you. When was the last time you talked to your electricity provider about something besides a service or billing problem? Put another way, does your utility ask for your opinion on its plans for the future? Do you feel like your concerns are heard? There has been a lot of news lately about projects that focus on modernizing the electric grid, with some of it focused on legitimate

282

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

283

Customer Satisfaction and Network Experience in Mobile Telecommunications Dejan Radosavljevik DRADOSAV@LIACS.NL  

E-Print Network (OSTI)

need to write a program that calculates a customer's bill for a local cable company. There are two customer. The program should also ask the user for the number of premium channels to which the customer subscribes and, in the case of business customers, the number of basic service connections. Problem analysis

Putten, Peter van der

284

Evaluation and selection in product design for mass customization: A knowledge decision support approach  

Science Conference Proceedings (OSTI)

Mass customization has been identified as a competitive strategy by an increasing number of companies. Family-based product design is an efficient and effective means to realize sufficient product variety, while satisfying a range of customer demands ... Keywords: Customer-Driven Design, Design Evaluation, Fuzzy Clustering, Fuzzy Ranking, Knowledge Support, Mass Customization, Multicriteria Decision Making, Product Family Design, Product Platform

Xuan F. Zha; Ram D. Sriram; Wen F. Lu

2004-01-01T23:59:59.000Z

285

The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs  

Science Conference Proceedings (OSTI)

We estimate the joint impact of the frequency reward and customer tier components of a loyalty program on customer behavior and resultant sales. We provide an integrated analysis of a loyalty program incorporating customers' purchase and cash-in decisions, ... Keywords: customer tier programs, database marketing, frequency reward, loyalty program, segmentation

Praveen K. Kopalle; Yacheng Sun; Scott A. Neslin; Baohong Sun; Vanitha Swaminathan

2012-03-01T23:59:59.000Z

286

Customer Relationship Management for Energy Companies: New Approaches to Meeting Changing Needs  

Science Conference Proceedings (OSTI)

This report provides readers with an understanding of the need to revise customer service practices using systems and experiences from other industries as models. At its most refined level, "customer relationship management" is the key to profitability because it provides information and processes that permit effective customer segmentation and successful product development efforts targeted to well-defined and well-understood customer needs.

2001-11-07T23:59:59.000Z

287

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

Open Energy Info (EERE)

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

288

Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services  

Science Conference Proceedings (OSTI)

The move towards a customer-centred approach to marketing, coupled with the increasing availability of customer transaction data, has led to an interest in understanding and estimating customer lifetime value (CLV). Several authors point out that, when ... Keywords: Customer lifetime value, Customer relationship management (CRM), Customer segmentation, Database marketing, Prediction interval, Quantile regression

Dries F. Benoit; Dirk Van den Poel

2009-09-01T23:59:59.000Z

289

Full list of Portfolio Manager custom reporting metrics | ENERGY STAR  

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

Full list of Portfolio Manager custom reporting metrics Full list of Portfolio Manager custom reporting metrics Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

290

ASSESSING AND FORECASTING, BY PLAY, NATURAL GAS ULTIMATE RECOVERY GROWTH AND QUANTIFYING THE ROLE OF TECHNOLOGY ADVANCEMENTS IN THE TEXAS GULF COAST BASIN AND EAST TEXAS  

SciTech Connect

A detailed natural gas ultimate recovery growth (URG) analysis of the Texas Gulf Coast Basin and East Texas has been undertaken. The key to such analysis was determined to be the disaggregation of the resource base to the play level. A play is defined as a conceptual geologic unit having one or more reservoirs that can be genetically related on the basis of depositional origin of the reservoir, structural or trap style, source rocks and hydrocarbon generation, migration mechanism, seals for entrapment, and type of hydrocarbon produced. Plays are the geologically homogeneous subdivision of the universe of petroleum pools within a basin. Therefore, individual plays have unique geological features that can be used as a conceptual model that incorporates geologic processes and depositional environments to explain the distribution of petroleum. Play disaggregation revealed important URG trends for the major natural gas fields in the Texas Gulf Coast Basin and East Texas. Although significant growth and future potential were observed for the major fields, important URG trends were masked by total, aggregated analysis based on a broad geological province. When disaggregated by plays, significant growth and future potential were displayed for plays that were associated with relatively recently discovered fields, deeper reservoir depths, high structural complexities due to fault compartmentalization, reservoirs designated as tight gas/low-permeability, and high initial reservoir pressures. Continued technology applications and advancements are crucial in achieving URG potential in these plays.

William L. Fisher; Eugene M. Kim

2000-12-01T23:59:59.000Z

291

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

292

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

293

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

294

Rethinking custom ISE identification: a new processor-agnostic method  

Science Conference Proceedings (OSTI)

The last decade has witnessed the emergence of the Application Specific Instruction-set Processor (ASIP) as a viable platform for embedded systems. Extensible ASIPs allow the user to augment a base processor with Instruction Set Extensions (ISEs) that ... Keywords: ISE identification, custom processors, maximal cluster

Ajay K. Verma; Philip Brisk; Paolo Ienne

2007-09-01T23:59:59.000Z

295

CUSTOMER-SITED PHOTOVOLTAICS: STATE MARKET ANALYSIS Christy Herig  

E-Print Network (OSTI)

CUSTOMER-SITED PHOTOVOLTAICS: STATE MARKET ANALYSIS Christy Herig National Renewable Energy Lab the most expensive form of renewable energy, they are still the most affordable and market Information Agency has not released any new state emission data since the 1999 analysis [2]. The objectives

Perez, Richard R.

296

Using Active Customer Participation in Managing Distribution Systems  

E-Print Network (OSTI)

#12;Smart Grid Distribution Advancement Introduction 3 #12;Smart Grid What would be new in smart grid1 Data Request Consumer Privacy Regulatory Requirements 15 #12;Distribution Operation Examples 16 #12Using Active Customer Participation in Managing Distribution Systems Visvakumar Aravinthan

Van Veen, Barry D.

297

The Voice of Our Customers Student Fiscal Services  

E-Print Network (OSTI)

Cashier Lobby (88%) and via Catalyst On-Line (12%) · Available for 37 Days with 1,043 customer responses: Appreciate the service, quick, accessible and easy to use · Communication: Convenient Live Chat, helpful improvements may be possible in the back-end process. · Payment Processing: SFS works closely with contracted

Kaminsky, Werner

298

Linux on FPGA platforms: control software to connect custom peripherals  

Science Conference Proceedings (OSTI)

Accessing custom hardware peripherals from a soft-CPU realized on FPGA fabric is a common task. We use a Virtex-5 FPGA with a MicroBlaze soft-CPU running a standard Linux kernel as the core of our embedded system. In order to enable processes on the ...

Moritz Kretz; Andreas Kugel

2012-06-01T23:59:59.000Z

299

Using PCA to predict customer churn in telecommunication dataset  

Science Conference Proceedings (OSTI)

Failure to identify potential churners affects significantly a company revenues and services that can provide. Imbalance distribution of instances between churners and non-churners and the size of customer dataset are the concerns when building a churn ... Keywords: PCA, predict potential churners, telecommunication dataset

T. Sato; B. Q. Huang; Y. Huang; M.-T. Kechadi; B. Buckley

2010-11-01T23:59:59.000Z

300

Test and Evaluation of Two Microturbines at Customer Sites  

Science Conference Proceedings (OSTI)

This program focused on installing distributed resources (DR) systems at customer sites, then performing a series of tests based on a selected protocol. Tests included evaluation of heat rate, air and noise emissions, power quality, and an economic analysis for each DR technology in the program.

2001-11-30T23:59:59.000Z

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


301

Customized geospatial workflows for e-government services  

Science Conference Proceedings (OSTI)

The past decade has experienced a phenomenal growth in the electronic delivery of business services. This has led to an elevation in the expectations of citizens for fast and efficient delivery of governmental services. Recently, workflow systems have ... Keywords: customization, decision support, e-government services, geospatial workflow

Richard D. Holowczak; Soon Ae Chun; Francisco J. Artigas; Vijayalakshmi Atluri

2001-11-01T23:59:59.000Z

302

Customizing your Google Scholar Settings University of Saskatchewan Library  

E-Print Network (OSTI)

Customizing your Google Scholar Settings University of Saskatchewan Library Enabling FindIt!/SFX in Google ScholarTM To enable FindIt!, the Library's OpenURL linking service, in Google ScholarTM on your personal computer: 1. Start at the Google ScholarTM homepage at http://scholar.google.ca/ 2. Select

Peak, Derek

303

Two-way data communication between utility and customer  

SciTech Connect

Distribution automation is the remote control of the distribution network that carries power from local substations to customer meters. The system, which seems to be feasible for the near future, provides two-way communication between utility and customer; not only must the utility operator be able to issue commands to automated equipment but the customer's meter must be able to answer the controller, reporting status and relaying data. Although there are other available, three types of communication systems are being investigated at present as the most feasible: power line carrier, telephone, and radio. Each system has its own special capabilities and limitations. Hybrid systems (two or more different communication systems) are also a possibility. Besides fault location and service restoration, distribution automation could facilitate time-of-day metering, load control, voltage control, and even meter reading. Most aspects of this two-way communication are accepted as beneficial by the customer; load control, however, which could selectively interfere with major appliances like water heaters, air conditioners, etc., during peak demand by selectively switching them off to level peak loads, might not be so readily acceptable. (SAC)

Lihach, N.; Blair, W.

1980-05-01T23:59:59.000Z

304

Virtual Machine Services: An Opportunity for Hardware Customization  

E-Print Network (OSTI)

of transistor count, which is leading to archi- tecture heterogeneity and customization. (2) Software developers (Virtual Machine), which executes services such as profiling, compilation, scheduling, and memory for potential improvements in energy through the use of hardware heterogeneity. This paper uses systematic

McKinley, Kathryn S.

305

Dynamic pricing for residential electric customers: a ratepayer advocate's perspective  

SciTech Connect

New Jersey's Rate Counsel urges that the consideration of alternative pricing mechanisms aimed at encouraging a reduction or shift in residential electricity usage include recognition of the needs and wishes of consumers. Without consumer buy-in, any such pricing mechanisms will fail. To achieve the desired goals, customers must be able to understand and react to the pricing signals. (author)

Brand, Stefanie A.

2010-07-15T23:59:59.000Z

306

Local network distribution practices -- a walk from MDF to customer  

Science Conference Proceedings (OSTI)

This paper explores the various components that make up the local network from the MDF in the local exchange to the customer. The dominant distribution media in the local network is copper and this will continue to hold its position as a simple and reliable ...

D. I. Monro; D. S. Butler; S. Worger

2007-07-01T23:59:59.000Z

307

China: Future Customer or Competitor in Livestock Markets? Thomas Hertel, Professor; Alejandro Nin, Graduate Research Assistant; Allan Rae, Professor at Massey  

E-Print Network (OSTI)

China: Future Customer or Competitor in Livestock Markets? Thomas Hertel, Professor; Alejandro Nin livestock trade, which has been relatively neglected. China is a net exporter of livestock products of total trade reflects a steady deterioration of China's com- parative advantage in pork and poul- try

308

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

309

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

310

The ultimate high tide  

SciTech Connect

This paper discusses the possible coastal impacts of a rise in sea level. Control measures that are available to coastal communities are emphasized, including pumping of seawater into the ground, replenishing beach sand, protection or moving of potable-water intakes, elevating roadways, and building dikes. Economics will determine which, if any, measures are reasonable at a particular site. There is an upward trend in the mean CO{sub 2} concentration and predictions about the greenhouse effect are creating a rising tide of concern.

Dean, R.G. (Florida Dept. of Natural Resources, Tallahassee (USA))

1990-01-01T23:59:59.000Z

311

Ultimate search engine.  

E-Print Network (OSTI)

??The search engine is a tool designed to search for information on the web according to the keywords specified by users. Different search engines are (more)

Patel, Chirag

2012-01-01T23:59:59.000Z

312

Unbundling the retail gas market: Current activities and guidance for serving residential and small customers  

Science Conference Proceedings (OSTI)

The restructuring of retail gas services has followed a typical pattern for previously heavily regulated industries: large customers are initially given rights to purchase unbundled services from different entities, with the same rights dispersed over time to smaller customers. For about ten years now industrial customers in most states have been able to {open_quotes}play the market{close_quotes}. Since the passage of the Federal Energy Regulatory Commission (FERC) Order 636 in 1992, interest has centered on expanding service unbundling to small retail customers, including residential customers. Importantly, the Order prohibited pipelines from providing bundled sales service. This is not surprising - in the telecommunications industry, for example, the unbundling of wholesale services was a strong stimulant for developing competition in the local exchange market. The push for small-customer service unbundling has derived from the basic but politically attractive idea that all retail customers should directly benefit from competitive forces in the natural gas industry. When one looks at the movement of prices since 1985, it is easy to see that large retail customers have enjoyed more favorable prices than other retail customers. For example, over the period 1985 to 1994 gas prices to industrial customers and electric utilities fell around 23 percent and 36 percent, respectively. In comparison, gas prices to residential customers increased by around 5 percent while gas prices to commercial customers decreased slightly by about 1 percent. This report examines various aspects of unbundling to small retail gas customers, with special emphasis on residential customers.

Costello, K.W.; Lemon, J.R.

1996-05-01T23:59:59.000Z

313

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Average Retail Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - July 2013 (Cents per Kilowatthour)

314

title Automated Price and Demand Response Demonstration for Large Customers  

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

Automated Price and Demand Response Demonstration for Large Customers Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR booktitle International Conference for Enhanced Building Operations ICEBO year month address Montreal Quebec abstract p class p1 Open Automated Demand Response OpenADR an XML based information exchange model is used to facilitate continuous price responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day ahead hourly pricing We summarize the existing demand response programs in New York and discuss OpenADR communication prioritization of demand response signals and control methods Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management

315

Modesto Irrigation District - Custom Commercial Energy Efficiency Rebate  

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

You are here You are here Home » Modesto Irrigation District - Custom Commercial Energy Efficiency Rebate Program Modesto Irrigation District - Custom Commercial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Rebate caps are adjusted according to MID's electric rate schedule they vary from $15,000 - $500,000. Exemptions from rebate caps can be requested. Program Info State California Program Type Utility Rebate Program Rebate Amount Lighting Measures: $250/kW reduced or $.04/kWh reduced Insulation Measures: $250/kW reduced or $.04/kWh reduced

316

Energy Conservation and Management for Electric Utility Industrial Customers  

E-Print Network (OSTI)

Comprehensive energy management assistance within the industrial section is currently being offered by a growing number of electric utilities as part of their efforts to - provide additonal demand side services to their industrial customers. One of the keys to these enhanced services is the availability of a unique Industrial Energy Conservation and Management (EC&M) computer model that can be used to evaluate the technical and economic benefits of installing proposed process related energy management systems within an industrial plant. Details of an EPRI sponsored pilot program are summarized and results presented on the use of the computer model to provide comprehensive EC&M system evaluations of potential energy management opportunities in HL&P's and other utility service areas. This capability is currently being offered to HL&P's industrial customers and is primarily concerned with identifying and evaluating possible process heat recovery and other energy management opportunities to show how a plant's energy related operating costs can be reduced.

McChesney, H. R.; Obee, T. N.; Mangum, G. F.

1985-05-01T23:59:59.000Z

317

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

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

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

318

Exploring Customer Segmentation for Utility Energy Efficiency Programs  

Science Conference Proceedings (OSTI)

Customer segmentation is a method of identifying homogeneous groups of consumers within a greater population based on common purchasing patterns and behavioral traits. This Technical Update, prepared as part of the EPRI Energy Efficiency Initiative, examines strategies and methodologies for segmentation both in the utility sector and other industries. The reports primary goals are to: (1) Examine the strengths and challenges of previous segmentation approaches developed by EPRI, (2) Understand the segmen...

2008-05-26T23:59:59.000Z

319

Residential Information Technologies and Energy Management: A Customer's Perspective  

Science Conference Proceedings (OSTI)

From telecommuting to on-line banking or Internet shopping, information technologies are changing the lives of U.S. citizens. Will this trend extend to the energy industry? The question remains open, but EPRI is making progress in finding actionable answers. This report yields insights regarding residential customer interests in home appliance management devices, including a discussion of needs, values and attitudes regarding features and pricing.

1997-12-22T23:59:59.000Z

320

Towards a first ontology for Customer Relationship Management  

E-Print Network (OSTI)

This paper presents some results of an ongoing project aimed at modeling the main concepts related to Customer Relationship Management (CRM). More precisely, the paper presents O-CREAM, a CRM ontology based on DOLCE and on two DOLCE-based modules, DnS (exploited for modeling roles and for handling reification) and OIO (exploited for modeling business knowledge by means of information objects). The project relies on the belief that all the actors involved in CRM could benefit from an ontological investigation of this field, aimed at providing a core set of formally described concepts and relations, useful both for describing CRM processes and for specifying the functionality of CRM applications. In particular, a well-formed CRM ontology would support communication and interoperability both in intra-organization and in interorganization CRM processes. The paper discusses in details the axiomatization for the sale and customer relationship concepts, as well as for the corresponding business knowledge items (i.e., sale and customer records). It concludes by sketching a possible concrete exploitation of O-CREAM.

Diego Magro

2008-01-01T23:59:59.000Z

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


321

Utilities offer photovoltaic systems to remote residential customers  

SciTech Connect

From Idaho to Arizona and Nevada to Colorado, utilities across the U.S. are beginning to offer remote homeowners an option that may seem unusual today, but might be commonplace in the future. Would-be customers who do not live close to the electric grid may choose the option of photovoltaic (PV) systems to supply their electricity as an alternative to expensive line extension. These customers typically live and/or farm in rural sections of the country. Others own vacation homes far from towns or cities. Solar-powered energy systems have already proven successful for powering pumps to water livestock, and for lights and communications devices in locations far from established sources of electricity. Rather than receiving the customary electric bill for metered service, customers will pay a set rate to use the PV system, which the utility will own and maintain. The initial cost of purchasing the system can be much lower than extending the utility line (which can cost $20,000 a mile). From the utility's standpoint, it saves on investing in lines that stand to generate small profits because of the small load and resultant energy sales.

Van Arsdall, A.

1993-01-01T23:59:59.000Z

322

Cautionary aphorisms for customer-oriented system development  

Science Conference Proceedings (OSTI)

Of the three substantive two-word clusters in the title of this note the least important is system development. Although people who attend conferences like this may be interested in system development, few other people are. Customers, in particular, are much more interested in system use, system availability, and system effectiveness, than in system development. Because it is the customers who keep one in business, it therefore behooves one to develop some techniques to keep use, availability, and effectiveness in mind--in other words, to develop a customer orientation. This note illustrates one such technique: the distillation of applicable wisdom concerning people, systems, and the relationships between them into statements made memorable by their wit, brevity, and pungency. In this session the author hopes to start one on the way to one`s own collection of useful thoughts. It should be noted that the preparation of such a collection serves as a working demonstration of the value of re-use as a productivity principle: few of these statements are original with him, and many had origins in other applications. He considers in turn methodology and procedure, design, schedules, measurement, documentation, and quality.

Stevens, D.F. [Lawrence Berkeley Lab., CA (United States). Information and Computing Sciences Div.

1994-10-01T23:59:59.000Z

323

MDAbench: A Tool for Customized Benchmark Generation Using MDA  

E-Print Network (OSTI)

Designing component-based application that meets performance requirements remains a challenging problem, and usually requires a prototype to be constructed to benchmark performance. Building a custom benchmark suite is however costly and tedious. This demonstration illustrates an approach for generating customized component-based benchmark applications using a Model Driven Architecture (MDA) approach. All the platform related plumbing and basic performance testing routines are encapsulated in MDA generation "cartridges" along with default implementations of testing logic. We will show how to use a tailored version of the UML 2.0 Testing Profile to model a customized load testing client. The performance configuration (such as transaction mix and spiking simulations) can also be modeled using the UML model. Executing the generated deployable code will collect the performance testing data automatically. The tool implementation is based on a widely used open source MDA framework AndroMDA. We extended it by providing a cartridge for a performance testing tailored version of the UML 2.0 Testing Profile. Essentially, we use OObased meta-modeling in designing and implementing a lightweight performance testing domain specific language with supporting infrastructure on top of the existing UML testing standard.

Liming Zhu; Yan Liu; Ian Gorton; Ngoc Bao Bui

2005-01-01T23:59:59.000Z

324

Total correlations and mutual information  

E-Print Network (OSTI)

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

Zbigniew Walczak

2008-06-30T23:59:59.000Z

325

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

size (average maximum demand) 84 , business type (SIC code),HECO customers average maximum demands was not available.to estimate the maximum demand (kW) of each customer.

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

326

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

they reach their maximum demand, this effect is relativelyj customers' daily % of maximum demand THI* > 85 degrees on3A customers summer maximum demands range from about 2 MW

2005-01-01T23:59:59.000Z

327

Considering the customer : determinants and impact of using technology on industry evolution  

E-Print Network (OSTI)

This dissertation raises two questions: How do customers come to understand and use a technology? What is the influence of customers using a technology on industry evolution and competition? I use two historical cases to ...

Kahl, Steven J. (Steven John)

2007-01-01T23:59:59.000Z

328

Creating supply chain visibility : a case study on extending Intel's Unit Level Traceability to customers  

E-Print Network (OSTI)

In an effort to enable supply chain visibility for Intel products, the Customer Unit Level Traceability (ULT) Program was formed to help extend Intel's ULT capability to the customer level. Increased traceability of Intel ...

Kang, Annie

2012-01-01T23:59:59.000Z

329

Independent review of estimated load reductions for PJM's small customer load response pilot project  

E-Print Network (OSTI)

of Estimated Load Reductions for PJMs Small Customer Loadof Estimated Load Reductions for PJMs Small Customer LoadResponse Pilot Project Prepared for PJM Interconnection, LLC

Heffner, G.; Moezzi, M.; Goldman, C.

2004-01-01T23:59:59.000Z

330

enHancing custoMs coLLaBoration TO  

E-Print Network (OSTI)

Development (DIFD), Mr. Flip van Helden, European Commission, and Mr. Hui Fu, World Customs Organisation (WCO on the initiatives of the Asia Forest Partnership and East Asia and Pacific FLEG to promote cooperation among Customs

331

Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing  

E-Print Network (OSTI)

I calculate the electricity bills for each of the 1142arrangements on the customers electricity bill. On averageless than half of the electricity bill, so the proportional

Borenstein, Severin

2007-01-01T23:59:59.000Z

332

Managing configuration options for build-to-order highly customized products with application to specialty vehicles  

E-Print Network (OSTI)

In the past decades there has been a shift in customer expectations that has had a significant effect in the business models of manufacturing companies. Customer requirements have shifted from accepting standardized products ...

Amador Gallardo, Jorge Enrique

2010-01-01T23:59:59.000Z

333

A Methodology for Estimating Large-Customer Demand Response Market Potential  

E-Print Network (OSTI)

reductions in their class peak demand in response to pricesresidential customers with peak demand greater than 350 kWs) Eligible Customers (peak demand) > 1,500 kW > 2000 kW

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2008-01-01T23:59:59.000Z

334

Modeling of customer adoption of distributed energy resources  

SciTech Connect

This report describes work completed for the California Energy Commission (CEC) on the continued development and application of the Distributed Energy Resources Customer Adoption Model (DER-CAM). This work was performed at Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) between July 2000 and June 2001 under the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. Our research on distributed energy resources (DER) builds on the concept of the microgrid ({mu}Grid), a semiautonomous grouping of electricity-generating sources and end-use sinks that are placed and operated for the benefit of its members. Although a {mu}Grid can operate independent of the macrogrid (the utility power network), the {mu}Grid is usually interconnected, purchasing energy and ancillary services from the macrogrid. Groups of customers can be aggregated into {mu}Grids by pooling their electrical and other loads, and the most cost-effective combination of generation resources for a particular {mu}Grid can be found. In this study, DER-CAM, an economic model of customer DER adoption implemented in the General Algebraic Modeling System (GAMS) optimization software is used, to find the cost-minimizing combination of on-site generation customers (individual businesses and a {mu}Grid) in a specified test year. DER-CAM's objective is to minimize the cost of supplying electricity to a specific customer by optimizing the installation of distributed generation and the self-generation of part or all of its electricity. Currently, the model only considers electrical loads, but combined heat and power (CHP) analysis capability is being developed under the second year of CEC funding. The key accomplishments of this year's work were the acquisition of increasingly accurate data on DER technologies, including the development of methods for forecasting cost reductions for these technologies, and the creation of a credible example California {mu}Grid for use in this study and in future work. The work performed during this year demonstrates the viability of DER-CAM and of our approach to analyzing adoption of DER.

Marnay, Chris; Chard, Joseph S.; Hamachi, Kristina S.; Lipman, Timothy; Moezzi, Mithra M.; Ouaglal, Boubekeur; Siddiqui, Afzal S.

2001-08-01T23:59:59.000Z

335

Modeling of customer adoption of distributed energy resources  

SciTech Connect

This report describes work completed for the California Energy Commission (CEC) on the continued development and application of the Distributed Energy Resources Customer Adoption Model (DER-CAM). This work was performed at Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) between July 2000 and June 2001 under the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. Our research on distributed energy resources (DER) builds on the concept of the microgrid ({mu}Grid), a semiautonomous grouping of electricity-generating sources and end-use sinks that are placed and operated for the benefit of its members. Although a {mu}Grid can operate independent of the macrogrid (the utility power network), the {mu}Grid is usually interconnected, purchasing energy and ancillary services from the macrogrid. Groups of customers can be aggregated into {mu}Grids by pooling their electrical and other loads, and the most cost-effective combination of generation resources for a particular {mu}Grid can be found. In this study, DER-CAM, an economic model of customer DER adoption implemented in the General Algebraic Modeling System (GAMS) optimization software is used, to find the cost-minimizing combination of on-site generation customers (individual businesses and a {mu}Grid) in a specified test year. DER-CAM's objective is to minimize the cost of supplying electricity to a specific customer by optimizing the installation of distributed generation and the self-generation of part or all of its electricity. Currently, the model only considers electrical loads, but combined heat and power (CHP) analysis capability is being developed under the second year of CEC funding. The key accomplishments of this year's work were the acquisition of increasingly accurate data on DER technologies, including the development of methods for forecasting cost reductions for these technologies, and the creation of a credible example California {mu}Grid for use in this study and in future work. The work performed during this year demonstrates the viability of DER-CAM and of our approach to analyzing adoption of DER.

Marnay, Chris; Chard, Joseph S.; Hamachi, Kristina S.; Lipman, Timothy; Moezzi, Mithra M.; Ouaglal, Boubekeur; Siddiqui, Afzal S.

2001-08-01T23:59:59.000Z

336

NYSERDA's RPS Customer Sited Tier Fuel Cell Program  

E-Print Network (OSTI)

Date received Approved by Project # Number of hours Driver Assigned Hourly Rate Fuel Surcharge Total

337

Management of Ultimate Risk of Nuclear Power Plants by Source Terms - Lessons Learned from the Chernobyl Accident  

Science Conference Proceedings (OSTI)

The term 'ultimate risk' is used here to describe the probabilities and radiological consequences that should be incorporated in siting, containment design and accident management of nuclear power plants for hypothetical accidents. It is closely related with the source terms specified in siting criteria which assures an adequate separation of radioactive inventories of the plants from the public, in the event of a hypothetical and severe accident situation. The author would like to point out that current source terms which are based on the information from the Windscale accident (1957) through TID-14844 are very outdated and do not incorporate lessons learned from either the Three Miles Island (TMI, 1979) nor Chernobyl accident (1986), two of the most severe accidents ever experienced. As a result of the observations of benign radionuclides released at TMI, the technical community in the US felt that a more realistic evaluation of severe reactor accident source terms was necessary. In this background, the 'source term research project' was organized in 1984 to respond to these challenges. Unfortunately, soon after the time of the final report from this project was released, the Chernobyl accident occurred. Due to the enormous consequences induced by then accident, the one time optimistic perspectives in establishing a more realistic source term were completely shattered. The Chernobyl accident, with its human death toll and dispersion of a large part of the fission fragments inventories into the environment, created a significant degradation in the public's acceptance of nuclear energy throughout the world. In spite of this, nuclear communities have been prudent in responding to the public's anxiety towards the ultimate safety of nuclear plants, since there still remained many unknown points revolving around the mechanism of the Chernobyl accident. In order to resolve some of these mysteries, the author has performed a scoping study of the dispersion and deposition mechanisms of fuel particles and fission fragments during the initial phase of the Chernobyl accident. Through this study, it is now possible to generally reconstruct the radiological consequences by using a dispersion calculation technique, combined with the meteorological data at the time of the accident and land contamination densities of {sup 137}Cs measured and reported around the Chernobyl area. Although it is challenging to incorporate lessons learned from the Chernobyl accident into the source term issues, the author has already developed an example of safety goals by incorporating the radiological consequences of the accident. The example provides safety goals by specifying source term releases in a graded approach in combination with probabilities, i.e. risks. The author believes that the future source term specification should be directly linked with safety goals. (author)

Genn Saji [Ex-Secretariate of Nuclear Safety Commission of Japan (Japan)

2006-07-01T23:59:59.000Z

338

Distributed energy resources customer adoption modeling with combined heat and power applications  

E-Print Network (OSTI)

of Microgrid Distributed Energy Resource Potential Usingon Integration of Distributed Energy Resources: The CERTSof Customer Adoption of Distributed Energy Resources.

Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

339

CLASSIFY-Profiles: Volume 2: Commercial and Industrial Customer Needs and Energy Decision Making  

Science Conference Proceedings (OSTI)

EPRI's CLASSIFY System provides utilities with the information, methods, and tools required to develop customer-driven products and services. Such customer-responsive offerings are crucial to achieving competitive success and high levels of customer satisfaction and loyalty. The Commercial and Industrial CLASSIFY-Profiles identify nine target markets, defined by 22 key customer needs related to business strategies, business operations, and energy operations. This report is available only to funders of Pr...

1995-06-22T23:59:59.000Z

340

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

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


341

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

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

342

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

343

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

344

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

345

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

346

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

347

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

348

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

349

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

350

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

351

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

352

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

353

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

354

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

355

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

356

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

357

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)

358

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

359

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

360

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

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361

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

362

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

363

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

364

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

365

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

366

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

367

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

368

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

369

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

370

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

371

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

372

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

373

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

374

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

375

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

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

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

376

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

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

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

377

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

Gasoline and Diesel Fuel Update (EIA)

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

378

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

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

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

379

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...

380

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...

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


381

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

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

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

382

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

Annual Energy Outlook 2012 (EIA)

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

383

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

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

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

384

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

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

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

385

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

Annual Energy Outlook 2012 (EIA)

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

386

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

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

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

387

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

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

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

388

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

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

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

389

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

Gasoline and Diesel Fuel Update (EIA)

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

390

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

Annual Energy Outlook 2012 (EIA)

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

391

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

Gasoline and Diesel Fuel Update (EIA)

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

392

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

Gasoline and Diesel Fuel Update (EIA)

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

393

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

Annual Energy Outlook 2012 (EIA)

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

394

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

Annual Energy Outlook 2012 (EIA)

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

395

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

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

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

396

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

Gasoline and Diesel Fuel Update (EIA)

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

397

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

Gasoline and Diesel Fuel Update (EIA)

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

398

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

Annual Energy Outlook 2012 (EIA)

111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer ... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer......

399

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

Annual Energy Outlook 2012 (EIA)

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

400

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

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

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

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


401

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

Gasoline and Diesel Fuel Update (EIA)

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

402

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

Annual Energy Outlook 2012 (EIA)

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

403

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

404

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

405

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

406

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

407

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

408

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

409

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

410

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

411

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

412

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

413

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

414

Customs Invoice (Fill in, photocopy, and insert 3 copies in sleeve of consignment)  

E-Print Network (OSTI)

the vast number of customer interfaces companies have to manage ­ multiple channels, front-line employees on establishing strong bases of loyal, profitable customers who are also advocates for the company. To drive companies historically haven't been good at addressing. The customer experience is more than an analysis

Wang, Yan

415

Resuscitating privacy-preserving mobile payment with customer in complete control  

Science Conference Proceedings (OSTI)

Credit/debit card payment transactions do not protect the privacy of the customer. Once the card is handed over to the merchant for payment processing, customers are "no longer in control" on how their card details and money are handled. This leads to ... Keywords: Customer centric payment model, Near field communication (NFC), Privacy, RFID, Secure mobile payment, Smartphone application

Divyan Munirathnam Konidala; Made Harta Dwijaksara; Kwangjo Kim; Dongman Lee; Byoungcheon Lee; Daeyoung Kim; Soontae Kim

2012-08-01T23:59:59.000Z

416

A design decision-making support model for customized product color combination  

Science Conference Proceedings (OSTI)

The need for product customization during product development processes will continue to increase. Product customization can satisfy consumer needs and preferences. Altering the colors and appearance of module parts is an effectual method of achieving ... Keywords: Color combination, Customization, Decision-making, Fuzzy analytic hierarchy process (FAHP), Image compositing

Min-Yuan Ma; Cheih-Ying Chen; Fong-Gong Wu

2007-08-01T23:59:59.000Z

417

Distributed Resources in the Commercial Sector: Customer Needs and Adoption Experiences  

Science Conference Proceedings (OSTI)

During the last five years, an increasing number of commercial customers have installed distributed resources (DR) solutions at their facilities. This study sheds light on the DR adoption experience of commercial customers, enabling EPRI members to better target attractive commercial segments and assist in customer implementation of DR solutions.

2001-11-19T23:59:59.000Z

418

Customization for games: lessons from variants of texas hold'em  

Science Conference Proceedings (OSTI)

System designers who build customization into games ought to consider how players think about adjustments. The distinctiveness of gaming contexts suggests that closer inspection of customization in games is warranted and will inform the design of customizable ... Keywords: customization, end-user programming, game design, game studies, variation

Gifford K. Cheung

2011-05-01T23:59:59.000Z

419

Calculation of calorific values of coals from ultimate analyses: theoretical basis and geochemical implications. Final report. Part 8  

SciTech Connect

The various formulae for calculating calorific values for coals from ultimate analyses depend essentially on a propositon due to Dulong, that the heat of combustion of an organic compound is nearly equal to the heats of combustion of the elements in it, multiplied by their percentage content in the compound in question. This proposition assumes that the enthalpy of decomposition is negligible compared with the heat of combustion. The various published formulae, such as that due to Mott and Spooner, include empirical adjustments to allow for the fact that the enthalpy of formation or decomposition of no organic compound is zero (except rarely by chance). A new equation is proposed, which excludes empirical correction terms but includes a term explicitly related to the enthalpy of decomposition. As expected from the behavior of known compounds, this enthalpy varies with rank, but it also varies at the same level of rank with the geological history of the sample: rank is not the only source of variance in coal properties. The new equation is at least as effective in predicting calorific values for a set of 992 coals as equivalent equations derived for 6 subsets of the coals. On the whole, the distributions of differences between observed and calculated calorific values are skewed to only a small extent. About 86% of the differences lie between -300 and +300 Btu/lb (+- 700 kJ/kg). 10 references, 7 figures, 4 tables.

Given, P.H.; Weldon, D.; Zoeller, J.H.

1984-03-01T23:59:59.000Z

420

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

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


421

China Total Cloud Amount Trends  

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

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

422

Molten Salt Test Loop (MSTL) system customer interface document.  

SciTech Connect

The National Solar Thermal Test Facility at Sandia National Laboratories has a unique test capability called the Molten Salt Test Loop (MSTL) system. MSTL is a test capability that allows customers and researchers to test components in flowing, molten nitrate salt. The components tested can range from materials samples, to individual components such as flex hoses, ball joints, and valves, up to full solar collecting systems such as central receiver panels, parabolic troughs, or linear Fresnel systems. MSTL provides realistic conditions similar to a portion of a concentrating solar power facility. The facility currently uses 60/40 nitrate %E2%80%9Csolar salt%E2%80%9D and can circulate the salt at pressure up to 40 bar (600psi), temperature to 585%C2%B0C, and flow rate of 44-50kg/s(400-600GPM) depending on temperature. The purpose of this document is to provide a basis for customers to evaluate the applicability to their testing needs, and to provide an outline of expectations for conducting testing on MSTL. The document can serve as the basis for testing agreements including Work for Others (WFO) and Cooperative Research and Development Agreements (CRADA). While this document provides the basis for these agreements and describes some of the requirements for testing using MSTL and on the site at Sandia, the document is not sufficient by itself as a test agreement. The document, however, does provide customers with a uniform set of information to begin the test planning process.

Gill, David Dennis; Kolb, William J.; Briggs, Ronald D.

2013-09-01T23:59:59.000Z

423

Construction of a stationary FIFO queue with impatient customers  

E-Print Network (OSTI)

In this paper, we study the stability of queues with impatient customers. Under general stationary ergodic assumptions, we first provide some conditions for such a queue to be regenerative (i.e. to empty a.s. an infinite number of times). In the particular case of a single server operating in First in, First out, we prove the existence (in some cases, on an enlarged probability space) of a stationary workload. This is done by studying stochastic recursions under the Palm settings, and by stochastic comparison of stochastic recursions.

Moyal, Pascal

2008-01-01T23:59:59.000Z

424

Construction of a stationary queue with impatient customers  

E-Print Network (OSTI)

In this paper, we study the stability of queues with impatient customers. Under general stationary ergodic assumptions, we first provide some conditions for such a queue to be regenerative (i.e. to empty a.s. an infinite number of times). In the particular case of a single server operating in First in, First out, we prove the existence (in some cases, on an enlarged probability space) of a stationary workload. This is done by studying a non-monotonic stochastic recursion under the Palm settings, and by stochastic comparison of stochastic recursions.

Moyal, Pascal

2007-01-01T23:59:59.000Z

425

Customer reponse to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York  

E-Print Network (OSTI)

of Niagara Mohawks Large Customers (Peak Demand >large customers with peak demand in excess of two megawattsmonthly peak and off- peak demand blocks (at 100% load

2004-01-01T23:59:59.000Z

426

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

427

PowerChoice Residential Customer Response to TOU Rates  

Science Conference Proceedings (OSTI)

Research Into Action, Inc. and the Sacramento Municipal Utility District (SMUD) worked together to conduct research on the behaviors and energy use patterns of SMUD residential customers who voluntarily signed on to a Time-of-Use rate pilot launched under the PowerChoice label. The project was designed to consider the how and why of residential customers ability and willingness to engage in demand reduction behaviors, and to link social and behavioral factors to observed changes in demand. The research drew on a combination of load interval data and three successive surveys of participating households. Two experimental treatments were applied to test the effects of increased information on households ability to respond to the Time-of-Use rates. Survey results indicated that participants understood the purpose of the Time-of-Use rate and undertook substantial appropriate actions to shift load and conserve. Statistical tests revealed minor initial price effects and more marked, but still modest, adjustments to seasonal rate changes. Tests of the two information interventions indicated that neither made much difference to consumption patterns. Despite the lackluster statistical evidence for load shifting, the analysis points to key issues for critical analysis and development of residential Time-of-Use rates, especially pertinent as California sets the stage for demand response in more California residences.

Peters, Jane S.; Moezzi, Mithra; Lutzenhiser, Susan; Woods, James; Dethman, Linda; Kunkle, Rick

2009-10-01T23:59:59.000Z

428

VISMASHUP: streamlining the creation of custom visualization applications  

SciTech Connect

Visualization is essential for understanding the increasing volumes of digital data. However, the process required to create insightful visualizations is involved and time consuming. Although several visualization tools are available, including tools with sophisticated visual interfaces, they are out of reach for users who have little or no knowledge of visualization techniques and/or who do not have programming expertise. In this paper, we propose VISMASHUP, a new framework for streamlining the creation of customized visualization applications. Because these applications can be customized for very specific tasks, they can hide much of the complexity in a visualization specification and make it easier for users to explore visualizations by manipulating a small set of parameters. We describe the framework and how it supports the various tasks a designer needs to carry out to develop an application, from mining and exploring a set of visualization specifications (pipelines), to the creation of simplified views of the pipelines, and the automatic generation of the application and its interface. We also describe the implementation of the system and demonstrate its use in two real application scenarios.

Ahrens, James P [Los Alamos National Laboratory; Santos, Emanuele [UNIV OF UTAH; Lins, Lauro [UNIV OF UTAH; Freire, Juliana [UNIV OF UTAH; Silva, Cl' audio T [UNIV OF UTAH

2010-01-01T23:59:59.000Z

429

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports...

430

The Impact of Retail Rate Structures on the Economics of Customer-Sited PV: A Study of Commercial Installations in California  

E-Print Network (OSTI)

the measure of maximum demand used and the variation in theon the customers maximum demand over the past 12-monthon the customers maximum demand during each monthly billing

Wiser, Ryan; Mills, Andrew; Barbose, Galen; Golove, William

2008-01-01T23:59:59.000Z

431

Modeling of customer adoption of distributed energy resources  

E-Print Network (OSTI)

case, such as total electricity bill, electricity generationis a reduction in electricity bill. All the electricityto 40% on their 2000 electricity bills by self-generating,

2001-01-01T23:59:59.000Z

432

Modeling of customer adoption of distributed energy resources  

E-Print Network (OSTI)

75 Grocery Low Natural Gas Prices Residual Demand (77 Grocery Low Natural Gas Prices Total Output Generation (77 Grocery Low Natural Gas Prices Residual Demand (

2001-01-01T23:59:59.000Z

433

Customer Value Proposition Smart Grid (KEL) (Smart Grid Project) | Open  

Open Energy Info (EERE)

Proposition Smart Grid (KEL) (Smart Grid Project) Proposition Smart Grid (KEL) (Smart Grid Project) Jump to: navigation, search Project Name Customer Value Proposition Smart Grid (KEL) Country Sweden Headquarters Location Gothenburg, Sweden Coordinates 57.696995°, 11.9865° 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":57.696995,"lon":11.9865,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

434

Energy Efficiency and Renewable Energy Network (EREN): Customer satisfaction survey  

Science Conference Proceedings (OSTI)

The Energy Efficiency and Renewable Energy Network (EREN) Customer Satisfaction Survey was developed and executed in support of EREN`s continuous quality improvement (CQI) plan. The study was designed to provide information about the demographic make up of EREN users, the value or benefits they derive from EREN, the kinds and quality of services they want, their levels of satisfaction with existing services, their preferences in both the sources of service and the means of delivery, and to provide benchmark data for the establishment of continuous quality improvement measures. The survey was performed by soliciting voluntary participation from members of the EREN Users Group. It was executed in two phases; the first being conducted by phone using a randomly selected group; and the second being conducted electronically and which was open to all of the remaining members of the Users Group. The survey results are described.

Anderson, A.V. [Information International Associates, Inc., Oak Ridge, TN (United States); Henderson, D.P. [Dept. of Energy, Oak Ridge, TN (United States). Office of Scientific and Technical Information

1996-04-22T23:59:59.000Z

435

Rate Structures for Customers With Onsite Generation: Practice and Innovation  

DOE Green Energy (OSTI)

Recognizing that innovation and good public policy do not always proclaim themselves, Synapse Energy Economics and the Regulatory Assistance Project, under a contract with the California Energy Commission (CEC) and the National Renewable Energy Laboratory (NREL), undertook a survey of state policies on rates for partial-requirements customers with onsite distributed generation. The survey investigated a dozen or so states. These varied in geography and the structures of their electric industries. By reviewing regulatory proceedings, tariffs, publications, and interviews, the researchers identified a number of approaches to standby and associated rates--many promising but some that are perhaps not--that deserve policymakers' attention if they are to promote the deployment of cost-effective DG in their states.

Johnston, L.; Takahashi, K.; Weston, F.; Murray, C.

2005-12-01T23:59:59.000Z

436

Evaluating Offshore IT Outsourcing in India: Supplier and Customer Scenarios  

E-Print Network (OSTI)

This paper presents the findings from an ongoing research study on offshore IT outsourcing. Field work was carried out in India and in the UK to evaluate the scale and scope of outsourcing activities. CEOs and CIOs were interviewed in fifteen supplier firms in India and two customer firms in UK, about strategic positioning in the offshore outsourcing market; benefits and risks from outsourcing; and other demand and supply-side issues. The findings suggest that, though offshore outsourcing offers new business opportunities for IT suppliers, much of the outsourced work continues to be low risk and low value. The challenge for outsourcing suppliers is therefore to devise strategies to move from body-shopping work to low cost, high value contracts, without incurring additional risk. 1.

Naureen Khan; Wendy L. Currie; Vishanth Weerakkody; Bhavini Desai

2002-01-01T23:59:59.000Z

437

Public utilities supply solar energy to eager customers  

DOE Green Energy (OSTI)

This articles examines how photovoltaic power is an alternative source of energy that can help utilities earn goodwill from their customers for being innovative, saving money, and reducing harmful emissions. Planners at municipal utilities are discovering the advantages that photovoltaic (PV) power offers. In addition to the thousands of private, federal, state, and commercial PV systems installed during the last 20 years, more than 65 cities in 24 states also have installed such systems. PV power is cost effective in selected utility applications today, and those applications are expanding every year. PV can be useful in applications ranging from low-power uses to decentralized applications to large, central stations. Public utilities in Austin and Sacramento are among those successfully using PV power for all three types of applications.

NONE

1995-01-01T23:59:59.000Z

438

For stricter emissions needs, try custom catalytic reduction  

Science Conference Proceedings (OSTI)

When O`Brien California Cogen Ltd. was contracted to develop a system to generate steam for an Artesia, Calif., mild producer`s evaporation process, local regulations required NO{sub x} emissions reduced 9 ppm and CO to 10 ppm. Johnson Matthey supplied the solution with a custom system combining an oxidation catalyst to control CSO emissions and a selective catalytic reduction (SCR) system to control NO{sub x}. O`Brien`s cogen operation runs off an aircraft-derivative GE Gas Turbine, model LM2500, with a 22.4-MW output. The catalyst system is installed in the exhaust stream of a heat recovery steam generator (HRSG) form the Henry Vogt Machine Co.

Chambers, A.

1995-08-01T23:59:59.000Z

439

Mechanisms for total and spectral solar irradiance variations  

E-Print Network (OSTI)

The total and spectral irradiance varies over short time scales, i.e. from days to months, and longer time scales from years to decades, centuries, and beyond. In this talk we review the current understanding of irradiance changes from days to decades. We present the current status of observations and discuss proposed reconstruction approaches to understand these variations. The main question that ultimately needs to be answered is what are the physical processes that could explain the enhanced heating of the photosphere, chromosphere, transition region, and corona, leading to a change in the solar radiative output at various wavelengths. As semi-empirical models allow us to reproduce the solar spectrum over a broad wavelength range, they offer a powerful tool to determine the energy necessary to heat certain layers and at the same time balance the radiative losses.

Haberreiter, M

2010-01-01T23:59:59.000Z

440

Low-Interest Loans for Customer-Side Distributed Resources | Department of  

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

Low-Interest Loans for Customer-Side Distributed Resources Low-Interest Loans for Customer-Side Distributed Resources Low-Interest Loans for Customer-Side Distributed Resources < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Wind Program Info Start Date 7/21/2005 State Connecticut Program Type State Loan Program Rebate Amount Varies Provider Banc of America Long-term financing is available to retail end-use customers for the installation of customer-side distributed resources. Customer-side distributed resources are defined by Conn. Gen. Stat. § 16-1 as "(A) the generation of electricity from a unit with a rating of not more than

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


441

Microsoft Word - Future Power Systems 21 - The Smart Customer.doc  

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

1 - The Smart Customer 1 - The Smart Customer    Steve Browning Page 1 of 14 May 2010 Overview From Future Power Systems (FPS) articles 18 and 19 we can see that there are a number of different trading and tariff mechanisms which can be employed on the utility to customer interface to enable participation. From article 20 we see that there will be different pricing profiles on similar day types due to changes in availability of renewable generation. The customer interface has to be carefully managed to avoid overreaction, the spectre of 'uncertainty' and major changes to energy bills. The last two conditions can cause serious adverse reactions from the customers. The main thing the customer, the industry and the community wants to see out of the Smart Enterprise is 'value'; to put together the infrastructure from two way

442

The design of a semi-custom intergrated circuit for the SLAC SLC timing control system  

Science Conference Proceedings (OSTI)

A semi-custom (gate array) integrated circuit has been designed for use in the SLAC Linear Collider timing and control system. The design process and SLAC's experiences during the phases of the design cycle are described. Issues concerning the partitioning of the design into semi-custom and standard components are discussed. Functional descriptions of the semi-custom integrated circuit and the timing module in which it is used are given.

Linstadt, E.

1985-02-01T23:59:59.000Z

443

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

of-Use Prices and Electricity Demand: Allowing for Selectionthe theory of customer electricity demand and the specificfor in evaluating electricity demand and price response. Hot

2005-01-01T23:59:59.000Z

444

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

2003). An Evaluation of Demand Response in New York Statewas coordinated by the Demand Response Research Center and2001, RTP Customer Demand Response Empirical Evidence on

2005-01-01T23:59:59.000Z

445

Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs...  

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

are implemented in conjunction with the deployment of advanced metering infrastructure (AMI) and customer systems such as in-home displays (IHDs) and programmable communicating...

446

The Economic Value of PV and Net Metering to Residential Customers in California  

E-Print Network (OSTI)

Practices in State Net Metering Policies and InterconnectionRenewable Energy). Map of Net Metering Policies, Net Metering to Residential Customers in

Darghouth, Naim

2010-01-01T23:59:59.000Z

447

The impact of business orientations on customer loyalty. An empirical study using a case study approach.  

E-Print Network (OSTI)

??Customer loyalty is considered to be critically important to growth, profitability and sustainability. It has received much attention by practitioner and managers. However, some important (more)

Khan, Osman

2009-01-01T23:59:59.000Z

448

Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department  

Science Conference Proceedings (OSTI)

In subscription services, customers who leave the company can be divided into two groups: customers who do not renew their fixed-term contract at the end of that contract, and others who just stop paying during their contract to which they are legally ... Keywords: Analytical customer relationship management (aCRM), Attrition research, Commercial churn, Credit risk, Customer churn, Customer intelligence, Financial churn, Out-of-period validation

Jonathan Burez; Dirk Van den Poel

2008-07-01T23:59:59.000Z

449

Total Imports of Residual Fuel  

Annual Energy Outlook 2012 (EIA)

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

450

Compact Totally Disconnected Moufang Buildings  

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

451

Achieving Total Employee Engagement in Energy Efficiency  

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

Raytheon Employee Engagement Raytheon Employee Engagement in Energy Conservation Department of Energy August 5, 2010 Steve Fugarazzo Raytheon Company Enterprise Energy Team Copyright © 2007 Raytheon Company. All rights reserved. Customer Success Is Our Mission is a trademark of Raytheon Company. Page 2 8/9/2010 Presentation Overview  Company Background  Communication & Outreach Initiatives - Internal Partnerships - Energy Champions - Energy Citizens - Energy Awareness Events & Contests Page 3 8/9/2010 Raytheon ... What We Do Raytheon is a global technology company that provides innovative solutions to customers in 80 nations. Through strategic vision, disciplined management and world-class talent, Raytheon is delivering operational advantages for customers every day while helping them prepare for the

452

European Customs & Trade Welcome to the twenty-first  

E-Print Network (OSTI)

... 3,543 3,775 5,845 Azerbaijan Total 1 1 1 8 61 60 69 406 0 0 0 0 R 0 0 0 0 R - fir or spruce 0 0 0 0 species ... 170 186 147 ... 13,803 15,626 17,470 ... 34 32 30 ... 6,004 5,426 5,505 Azerbaijan Total 0 0 0

453

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:

454

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"

455

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

456

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

457

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

458

South Florida Sun-Sentinel.com Wells Fargo says South Florida customers got account  

E-Print Network (OSTI)

South Florida Sun-Sentinel.com Wells Fargo says South Florida customers got account information Wells Fargo confirmed Friday that South Floridians are among customers affected by a mistake in which at 800-ToWells or visit a branch. They will be reimbursed should losses occur in their account because

Belogay, Eugene A.

459

Targeting Products in Residential Markets: Comparing "Off-the-Shelf" and Custom Segmentation Systems  

Science Conference Proceedings (OSTI)

This report summarizes results of customer research designed to provide energy service companies that have an interest in selling value-added services with insight about selecting the best options among a variety of both "off-the-shelf" and custom segmentation tools.

2000-11-03T23:59:59.000Z

460

Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates?  

E-Print Network (OSTI)

PWP-066 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl;1 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl Blumstein1 August 1999 Abstract California electricity consumers can choose a retail electricity service provider

California at Berkeley. University of

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


461

Using customers data for defining retail market size: a GIS approach  

Science Conference Proceedings (OSTI)

Geographical Information Systems (GIS) systems provide a wide array of tools for site, demographic and competitive analyses which enable retailers and marketers to answer several questions that are related to retail location. The aim of this ... Keywords: GIS, Jeddah, Saudi Arabia, customer data, demographics, geocoding, geographical information systems, market analysis, marketing policy, retail centres, retail customers, retail market size, retail planning, shopping centres

Abdulkader A. Murad

2009-03-01T23:59:59.000Z

462

Offering Premium Power to Select Customer Segments: Using Distributed Resources for Distribution Utilities  

Science Conference Proceedings (OSTI)

Electric sector restructuring will likely lead to increased opportunities for distributed resources (DR) technologies and solutions. In particular, distribution utilities may be able to use DR to provide innovative services that can help increase customer value and open new sources of revenue. Using DR to offer premium power services to customers with special sensitivity to power quality disturbances is one such opportunity.

2001-01-11T23:59:59.000Z

463

Advanced Metering, Value-Added Services, and Communications-Based Applications for National Account Customers  

Science Conference Proceedings (OSTI)

As the electric utility industry progresses toward deregulation, many different approaches will be used by customers and energy brokers to leverage their buying power through bulk electricity purchases. This report documents interviews with national account customers to determine the advanced information, communications, and metering systems needed to deliver, monitor, and bill such purchases.

1997-04-18T23:59:59.000Z

464

Mining customer knowledge to implement online shopping and home delivery for hypermarkets  

Science Conference Proceedings (OSTI)

With advances in modern technology, the Internet population has increased year by year globally. For young customers who consider convenience and speed as prerequisites, online shopping has become a new type of consumption. In addition, business-to-customer ... Keywords: Association rule, Cluster analysis, Data mining, Database marketing, Electronic commerce, Home delivery, On-line shopping

Shu-hsien Liao; Yin-ju Chen; Yi-tsun Lin

2011-04-01T23:59:59.000Z

465

Customer System 2000 Architecture and Requirements: Appendices: Distributed-Object Technology and Java Programming Language  

Science Conference Proceedings (OSTI)

Many utilities are considering electronic communications as a means of delivering highly differentiated energy products and services to their customers. The CS 2000 project provides a "designed solution" for an Internet-based electronic delivery channel capable of supporting a diversified portfolio of applications that help retain customers, enhance revenues, and increase market share.

1997-06-02T23:59:59.000Z

466

PageTailor: reusable end-user customization for the mobile web  

Science Conference Proceedings (OSTI)

Most pages on the Web are designed for the desktop environment and render poorly on the small screens available on handheld devices. We introduce Reusable End-User Customization (REUC), a technique that lets end users adapt the layout of Web pages by ... Keywords: customization, end-user, mobile web, small screen

Nilton Bila; Troy Ronda; Iqbal Mohomed; Khai N. Truong; Eyal de Lara

2007-06-01T23:59:59.000Z

467

The Effect on Electricity Consumption of the Commonwealth Edison Customer Application Program Pilot: Phase 1, Appendices  

Science Conference Proceedings (OSTI)

This report provides appendices that support Electric Power Research Institute (EPRI) report 1022703, which describes the Phase 1 analysis of some aspects of residential customers' response to Commonwealth Edison's Customer Application Plan (CAP). This report contains technical materials that describe in detail all of the methods employed in conducting the Phase 1 analysis and presents the results of the application of those methods.

2011-04-29T23:59:59.000Z

468

The Effect on Electricity Consumption of the Commonwealth Edison Customer Application Program: Phase 2 Supplemental Information  

Science Conference Proceedings (OSTI)

This report provides appendices that support EPRI report 1023644, which describes the Phase 2 (final) analysis of residential customers' response to Commonwealth Edison's Customer Application Program (CAP). The report contains technical materials that describe in detail the methods employed in conducting the Phase 2 analysis and presents the results of the application of additional data and methods in Phase 2.

2012-02-09T23:59:59.000Z

469

The Effect on Electricity Consumption of the Commonwealth Edison Customer Application Program Pilot: Phase 1  

Science Conference Proceedings (OSTI)

This report describes the Phase 1 analysis of some aspects of residential customers' response to Commonwealth Edisons (ComEd) Customer Application Plan (CAP) as well as the plans to extend the analysis and evaluate additional aspects of that plan during Phase 2 of the evaluation.

2011-04-04T23:59:59.000Z

470

SDG&E Customers Can Connect Home Area Network Devices With Smart Meters |  

Open Energy Info (EERE)

SDG&E Customers Can Connect Home Area Network Devices With Smart Meters SDG&E Customers Can Connect Home Area Network Devices With Smart Meters Home > Groups > Utility Rate Graham7781's picture Submitted by Graham7781(2002) Super contributor 16 January, 2013 - 11:09 OpenEI San Diego Gas and Electric Smart Meters Smartgrid article reposted from Smartgrid.gov SAN DIEGO, Jan. 10, 2013 - San Diego Gas & Electric (SDG&E) customers can now purchase and install home area network devices to see how much energy they are using in near real-time and help identify high energy use appliances. With in-home energy display devices connected to their electric smart meters, SDG&E customers have access to a new tool to help them make smart energy consumption decisions to reduce their overall energy usage and costs. SDG&E has tested several new in-home energy display devices and customers

471

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

472

Solar total energy project Shenandoah  

DOE Green Energy (OSTI)

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

None

1980-01-10T23:59:59.000Z

473

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

474

The role of interruptible natural gas customers in New England heating oil markets: A preliminary examination of events in January-February 2000  

Science Conference Proceedings (OSTI)

This report provides an analysis of data collected from gas service providers and end-use customers in the six New England States and offers a preliminary assessment of the impact of interruptible gas customers on the distillate fuel oil market this past winter. Based on information collected and analyzed as of October 2000, the main findings areas follows: (1) For interruptible gas customers with distillate fuel oil as a backup fuel, their volume of interruptions was equivalent to about 1 to 2 percent of the total sales of distillate fuel oil in New England during January-February 2000. For the two peak weeks of gas supply interruptions, however, the equivalent volume of distillate fuel oil amounted to an estimated 3 to 6 percent of total sales in New England. There were no interruptions of the natural gas service during the 2-month period. (2) Purchases of distillate fuel oil by interruptible gas customers may have contributed somewhat to the spike in the price of distillate fuel oil in January-February 2000, especially during the peak weeks of gas interruptions. Nevertheless, other factors--a sudden drop in temperatures, low regional stocks of distillate fuels, and weather-related supply problems during a period of high customer demand--appear to have played a significant role in this price spike, as they have in previous spikes. (3) While this preliminary analysis suggests that interruptible natural gas service does not threaten the stability of the home heating oil market, several steps might be taken-without undermining the benefits of interruptible service--to reduce the potential adverse impacts of gas supply interruptions in times of market stress. Regardless of the magnitude of the impact of distillate fuel oil purchases by interruptible gas customers on Northeast heating oil markets, the threat of future heating oil price spikes and supply problems still remains. To help counter the threat, President Clinton in July 2000 directed Secretary Richardson to establish a heating oil component of the Strategic Petroleum Reserve in the Northeast, and 2 million barrels of heating oil are now stored in the reserve. Other possible policy options are outlined.

None

2000-11-01T23:59:59.000Z

475

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:

476

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

477

Estimated Value of Service Reliability for Electric Utility Customers in the United States  

SciTech Connect

Information on the value of reliable electricity service can be used to assess the economic efficiency of investments in generation, transmission and distribution systems, to strategically target investments to customer segments that receive the most benefit from system improvements, and to numerically quantify the risk associated with different operating, planning and investment strategies. This paper summarizes research designed to provide estimates of the value of service reliability for electricity customers in the US. These estimates were obtained by analyzing the results from 28 customer value of service reliability studies conducted by 10 major US electric utilities over the 16 year period from 1989 to 2005. Because these studies used nearly identical interruption cost estimation or willingness-to-pay/accept methods it was possible to integrate their results into a single meta-database describing the value of electric service reliability observed in all of them. Once the datasets from the various studies were combined, a two-part regression model was used to estimate customer damage functions that can be generally applied to calculate customer interruption costs per event by season, time of day, day of week, and geographical regions within the US for industrial, commercial, and residential customers. Estimated interruption costs for different types of customers and of different duration are provided. Finally, additional research and development designed to expand the usefulness of this powerful database and analysis are suggested.

Sullivan, M.J.; Mercurio, Matthew; Schellenberg, Josh

2009-06-01T23:59:59.000Z

478

Commercial applications of solar total energy systems. Volume 4. Appendices. Final report. [Solar Total Energy System Evaluation Program (STESEP) code  

DOE Green Energy (OSTI)

A methodology has been developed by Atomics International under contract to the Department of Energy to define the applicability of solar total energy systems (STES) to the commercial sector (e.g., retail stores, shopping centers, offices, etc.) in the United States. Candidate STES concepts were selected to provide on-site power generation capability, as well as thermal energy for both heating and cooling applications. Each concept was evaluated on the basis of its cost effectiveness (i.e., as compared to other concepts) and its ability to ultimately penetrate and capture a significant segment of this market, thereby resulting in a saving of fossil fuel resources. This volume contains the appendices. Topics include deterministic insolation model computer code; building energy usage data; computer simulation programs for building energy demand analysis; model buildings for STES evaluation; Solar Total Energy System Evaluation Program (STESEP) computer code; transient simulation of STES concept; solar data tape analysis; program listings and sample output for use with TRNSYS; transient simulation, and financial parameters sensitivities. (WHK)

Boobar, M.G.; McFarland, B.L.; Nalbandian, S.J.; Willcox, W.W.; French, E.P.; Smith, K.E.

1978-07-01T23:59:59.000Z

479

Interactions between Energy Efficiency Programs funded under the Recovery Act and Utility Customer-Funded Energy Efficiency Programs  

E-Print Network (OSTI)

Program (WIP). History of the State Energy Program. and history of utility customer- funded programs, institutional capacity of state energyand history of utility customer-funded programs, institutional capacity of state energy

Goldman, Charles A.

2011-01-01T23:59:59.000Z

480

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

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

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


481

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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

482

Natural Gas Total Liquids Extracted  

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

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

483

Map Data: Total Production | Department of Energy  

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

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

484

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

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

485

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

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

486

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

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

487

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

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

488

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

489

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

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

490

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

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

491

WorkExcel.com E117 If dealing with irate customers makes you want to drive home, jump  

E-Print Network (OSTI)

customers. The company keeps a number of offices in a variety of cities and locations within each city. Each a vehicle, the company records the customer name, address, phone number (with the area code). A customer is usually identified by their phone number. The company also maintains a list of the SuperRent Club members

Oliver, Douglas L.

492

Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs:  

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

Analysis of Customer Enrollment Patterns in TIme-Based Rate Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs: Initial Results from the SGIG Consumer Behavior Studies (July 2013) Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs: Initial Results from the SGIG Consumer Behavior Studies (July 2013) The U.S. Department of Energy is implementing the Smart Grid Investment Grant (SGIG) program under the American Recovery and Reinvestment Act of 2009 (Recovery Act). The SGIG program involves 99 projects that are deploying smart grid technologies, tools, and techniques for electric transmission, distribution, advanced metering, and customer systems. A subset of the 99 SGIG projects is conducting consumer behavior studies. These studies examine the response of residential and small commercial

493

List of Custom/Others pending approval Incentives | Open Energy Information  

Open Energy Info (EERE)

Custom/Others pending approval Incentives Custom/Others pending approval Incentives Jump to: navigation, search The following contains the list of 769 Custom/Others pending approval Incentives. CSV (rows 1-500) CSV (rows 501-769) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active AEP (Central and North) - CitySmart Program (Texas) Utility Rebate Program Texas Commercial Industrial Institutional Local Government Schools Boilers Central Air conditioners Chillers Comprehensive Measures/Whole Building Custom/Others pending approval Energy Mgmt. Systems/Building Controls Furnaces Heat pumps Lighting Lighting Controls/Sensors Motor VFDs Motors Roofs Windows Yes AEP (Central and North) - Residential Energy Efficiency Programs (Texas) Utility Rebate Program Texas Construction

494

VP 100: Smart Meters Will Help Customers Avoid High Electric Bills |  

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

Smart Meters Will Help Customers Avoid High Electric Bills Smart Meters Will Help Customers Avoid High Electric Bills VP 100: Smart Meters Will Help Customers Avoid High Electric Bills October 4, 2010 - 3:00pm Addthis An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB Kevin Craft What are the key facts? EPB will install approximately 170,000 smart meters and 1,500 automated switches. They have the potential to provide a $300 million value to EPB and customers over a ten-year period. "Last winter I received a call from my son saying he had a $400 electric

495

DOE GC Joins Customs Service Trade Data System to Strengthen Enforcement  

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

GC Joins Customs Service Trade Data System to Strengthen GC Joins Customs Service Trade Data System to Strengthen Enforcement Effort DOE GC Joins Customs Service Trade Data System to Strengthen Enforcement Effort February 14, 2011 - 5:48pm Addthis The Department of Energy today announced that its Office of the General Counsel has joined the Board of Directors of the International Trade Data System, and now has access to the U.S. Customs and Border Protection "Automated Commercial Environment." This provides DOE with real-time information on imported products subject to DOE's energy conservation regulations. The Department will now be able more easily to identify products imported in violation of its energy conservation regulations thus ensuring that foreign manufacturers have to follow the same rules as

496

VP 100: Smart Meters Will Help Customers Avoid High Electric Bills |  

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

VP 100: Smart Meters Will Help Customers Avoid High Electric Bills VP 100: Smart Meters Will Help Customers Avoid High Electric Bills VP 100: Smart Meters Will Help Customers Avoid High Electric Bills October 4, 2010 - 3:00pm Addthis An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB Kevin Craft What are the key facts? EPB will install approximately 170,000 smart meters and 1,500 automated switches. They have the potential to provide a $300 million value to EPB and customers over a ten-year period. "Last winter I received a call from my son saying he had a $400 electric

497

T-642: RSA SecurID update to Customers | Department of Energy  

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

2: RSA SecurID update to Customers 2: RSA SecurID update to Customers T-642: RSA SecurID update to Customers June 9, 2011 - 12:45am Addthis PROBLEM: Certain characteristics of the attack on RSA indicated that the perpetrator's most likely motive was to obtain an element of security information that could be used to target defense secrets and related IP, rather than financial gain, PII, or public embarrassment. PLATFORM: RSA SecurID implementations ABSTRACT: RSA investigation has revealed that the attack resulted in certain information being extracted from RSA's systems. Some of that information is related to RSA's SecurID two-factor authentication products. reference LINKS: Open Letter to RSA Customers (update) CVE-2011-0322 RSA Fraud Resource Center RSA Security Practice DOE-CIRC T-640: RSA Access Manager Server CVE-2011-0322 Update

498

Impact of information and communications technologies on residental customer energy services  

Science Conference Proceedings (OSTI)

This study analyzes the potential impact of information and communications technologies on utility delivery of residential customer energy services. Many utilities are conducting trials which test energy-related and non-energy services using advanced communications systems.

Goldman, C.; Kempton, W.; Eide, A.; Iyer, M. [and others

1996-10-01T23:59:59.000Z

499

Customer Response to RTP in Competitive Markets: A Study of Niagara Mohawk's Standard Offer Tariff  

E-Print Network (OSTI)

customers are to their maximum demand. We proceed with anSubstitution by Account and Maximum Demand N=119 Number offrom 60% to 70% of maximum demand) results in much smaller

Boisvert, Richard N.; Cappers, Peter; Goldman, Charles; Neenan, Bernie; Hopper, Nicole

2006-01-01T23:59:59.000Z

500

Customer Response to RTP in Competitive Markets: A Study of Niagara Mohawk's Standard Offer Tariff  

E-Print Network (OSTI)

2002). Industrial Response to Electricity Real-Time Prices:Industrial Response To Real Time Electricity Prices. price elasticity of large commercial and industrial customers served under a day-ahead RTP rate to identify patterns based on whether electricity

Boisvert, Richard N.; Cappers, Peter; Goldman, Charles; Neenan, Bernie; Hopper, Nicole

2006-01-01T23:59:59.000Z