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We encourage you to perform a real-time search of NLEBeta
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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

SRS 2010 Vegetation Inventory GeoStatistical Mapping Results for Custom Reaction Intensity and Total Dead Fuels.  

SciTech Connect

This report of the geostatistical analysis results of the fire fuels response variables, custom reaction intensity and total dead fuels is but a part of an SRS 2010 vegetation inventory project. For detailed description of project, theory and background including sample design, methods, and results please refer to USDA Forest Service Savannah River Site internal report “SRS 2010 Vegetation Inventory GeoStatistical Mapping Report”, (Edwards & Parresol 2013).

Edwards, Lloyd A. [Leading Solutions, LLC.; Paresol, Bernard [U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR.

2014-09-01T23:59:59.000Z

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

Customer Forum  

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

Forum Energy Imbalance Market Meetings Customer Comments Generator Interconnection Reform Implementation Meetings Customer Comments Network Integration Transmission Service (NT...

5

Customer Comments  

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

Improvement (CBPI) Customer Forum Energy Imbalance Market Generator Interconnection Reform Implementation Meetings Customer Comments Network Integration Transmission Service (NT...

6

Customer Involvement  

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

Forum Energy Imbalance Market Meetings Customer Comments Generator Interconnection Reform Implementation Meetings Customer Comments Network Integration Transmission Service (NT...

7

Maintaining Productivity of Rural Area in Indonesia: A Perspective of Total Customers Involvement from Design to Maintenance of a Local Wind Pump (LWP) Application  

Science Journals Connector (OSTI)

A sustainable study development on a local wind pump (LWP) has been indicated as one of solutions for maintaining stable productivity of marginal societies (traditional farmers peasant and tribes) in facing multi crisis happened in Indonesia. Moreover the study is designed to assess the LWP by accommodating a total participation of the societies as targeted customers. The participation was formulated from design to maintenance stages of the LWP. The approaches of implementation a QFD method a field survey and life skill training have been fitted to the formulation. In this article significant achievements resulted by the approaches are reported. The QFD was adopted to classify all of the parameters constraints and boundaries which were obtained by questionnaire to the customers. All of the parameters were plotted in to a house of quality matrix (HOQ) which contributed to manufacture criteria and as well as maintenance criteria. The field study was accomplished in order to assess an availability value of the LWP components. The life skill training was conducted to equip manufacturing skill to the customers. Throughout the study it was observed that the LWP was manufactured by accommodating 90% of a local materials and local components available in district markets of Lampung province Indonesia. Throughout the survey critical parameters for a sustainable development of the LWP have been defined namely government protection capital investment for supplying component and maintenance networking for supporting the LWP performance. The life skill training given to the customers affected to incremental value of reliability in terms of maintenance skill. As a result the LWP was indicated as a local competitive product of renewable energy (RE) to the society.

Beny Yudiantoro; Ahmad Taufik

2007-01-01T23:59:59.000Z

8

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

9

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

10

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

11

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

12

Customer Comments  

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

Improvement (CBPI) Customer Forum Energy Imbalance Market Generator Interconnection Reform Implementation Network Integration Transmission Service (NT Service) Network Open...

13

Customer Comments  

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

Forum Energy Imbalance Market Meetings Customer Comments Generator Interconnection Reform Implementation Network Integration Transmission Service (NT Service) Network Open...

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

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

27

Custom Projects  

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

and Incentive Payment - The ESIP works with utility, industry, and BPA to complete the measurement and verification, reporting and development of a custom project completion...

28

"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"

29

"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"

30

APPA Customer Connections Conference  

Office of Energy Efficiency and Renewable Energy (EERE)

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

31

Hydrogen: The ultimate fuel and energy carrier  

Science Journals Connector (OSTI)

Hydrogen: The ultimate fuel and energy carrier ... Some of the questions include: 1)Why choose hydrogen as a fuel, 2) How is hydrogen produced, 3)Why is this combustion nonpolluting, 4) How is hydrogen stored? ... Hydrogen ...

Gustav P. Dinga

1988-01-01T23:59:59.000Z

32

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

33

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

34

Dear Customer/Stakeholder,  

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

1132014 Subject: BPA Post-2011 Energy Efficiency Review Update 4 - Material for January 16 meeting and Proposed Schedule for Workgroups and Meetings Dear CustomerStakeholder,...

35

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...

36

Dark Energy and Life's Ultimate Future  

E-Print Network (OSTI)

The discovery of the present accelerated expansion of space changed everything regarding cosmology and life's ultimate prospects. Both the optimistic scenarios of an ever (but decelerated) expanding universe and of a collapsing universe seem to be no longer available. The final future looks deadly dark. However, the fate of the universe and intelligence depends crucially on the nature of the still mysterious dark energy which drives the accelerated expansion. Depending on its - perhaps time-dependent - equation of state, there is a confusing number of different models now, popularly called Big Rip, Big Whimper, Big Decay, Big Crunch, Big Brunch, Big Splat, etc. This paper briefly reviews possibilities and problems. It also argues that even if our universe is finally doomed, perhaps that doesn't matter ultimately because there might be some kind of eternal recurrence. - Key words: Cosmology, Universe, Dark Energy, Cosmological Constant, Quintessence, Phantom Energy, Inflation, Quantum Gravity, Far Future, Life, Intelligence

Ruediger Vaas

2007-03-19T23:59:59.000Z

37

The ultimate disposition of depleted uranium  

SciTech Connect

Depleted uranium (DU) is produced as a by-product of the uranium enrichment process. Over 340,000 MTU of DU in the form of UF{sub 6} have been accumulated at the US government gaseous diffusion plants and the stockpile continues to grow. An overview of issues and objectives associated with the inventory management and the ultimate disposition of this material is presented.

Lemons, T.R. [Uranium Enrichment Organization, Oak Ridge, TN (United States)

1991-12-31T23:59:59.000Z

38

Customization for tool design  

SciTech Connect

ICEMDDN capabilities have been adapted to the specific needs of the tool designer for creation of tool and gage designs. A customized graphic system allows the designer to concentrate on the design task, not on the mechanics of the graphs system. Prerequisites of customization include management support, user acceptance, user contributions, CAD/CAM operations support and cooperation from Control Data Corporation. Benefits from customization included a measurable increase in design production, better completion schedules, high quality drawings with better accuracy, and job satisfaction from participation in system development and improvement.

Michaelson, B.

1985-10-01T23:59:59.000Z

39

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

40

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.

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

RTP Customer Demand Response  

Science Journals Connector (OSTI)

This paper provides new evidence on customer demand response to hourly pricing from the largest and...real-time pricing...(RTP) program in the United States. RTP creates value by inducing load reductions at times...

Steven Braithwait; Michael O’Sheasy

2002-01-01T23:59:59.000Z

42

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

43

Managerial information behaviour: Relationships among Total Quality Management orientation, information use environments, and managerial roles  

E-Print Network (OSTI)

production process and customer information Low Total Quality Learning: continuous innovation and learning: exploration

Simard, C; Rice, Ronald E

2006-01-01T23:59:59.000Z

44

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

45

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!

46

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

47

"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

48

The Phenix ultimate natural convection test  

SciTech Connect

The French sodium cooled fast reactor Phenix was shut down in 2009 after 35 years of operation. Before decommissioning, a final set of tests were performed by the CEA during 9 months. Several topics were involved such as thermal hydraulics, core physics and fuel behaviour. Among these ultimate experiments, two thermal hydraulic tests were performed: an asymmetrical test consisting in a trip of one secondary pump and a natural convection test in the primary circuit. Recognizing the unique opportunity offered by these Phenix ultimate tests, IAEA decided in 2007 to launch a Coordinated Research Project (CRP) devoted to benchmarking analyses with system codes on the Phenix natural convection test. One objective of the natural convection test in Phenix reactor is the assessment of the CATHARE system code for safety studies on future and advanced sodium cooled fast reactors. The aim of this paper is to describe this test, which was performed on June 22-23, 2009, and the associated benchmark specifications for the CRP work. The paper reminds briefly the Phenix reactor with the main physical parameters and the instrumentation used during the natural convection test. After that, the test scenario is described: - initial state at a power of 120 MWth, - test beginning resulting from a manual dry out of the two steam generators, - manual scram, - manual trip on the three primary pumps without back-up by pony motors, - setting and development of natural convection in the primary circuit, in a first phase without significant heat sink in the secondary circuits and in a second phase with significant heat sink in the secondary circuits, by opening the casing of steam generators to create an efficient heat sink, by air natural circulation in the steam generators casing. The benchmark case ends after this second phase, which corresponds to the experimental test duration of nearly 7 hours. The paper presents also the benchmark specifications data supplied by the CEA to all participants of this CRP in order to perform calculations (core, primary circuit, primary pumps, IHX, shutdown system, operating parameters, test scenario and real test conditions). Finally, main test results and analyses are presented including the evolution of the core and of the heat exchangers inlet and outlet temperatures, and some local temperature measurements. The natural convection has been easily set up in the pool type reactor Phenix with different boundary conditions at the secondary side, with or without heat sink. The data obtained during this unique test represent some very useful and precious results for the development of SFR in a wide range of thematic such as numerical methods dedicated to thermal-hydraulics safety analyses (system codes, CFD codes and coupling system and CFD codes) and instrumentation. (authors)

Gauthe, P. [CEA, DER, SESI, F-13108, Saint Paul lez Durance (France); Pialla, D.; Tenchine, D. [CEA, DEN, STMF, F-38054, Grenoble (France); Vasile, A. [CEA, DER, SESI, F-13108, Saint Paul lez Durance (France); Rochwerger, D. [CEA, DEN, DEIM, F-30207, Bagnols-sur-Ceze (France)

2012-07-01T23:59:59.000Z

49

Library Services Customer Charter  

E-Print Network (OSTI)

Library Services Customer Charter Our commitment to you is to: · ensure your needs are the focus you informed of progress. To help us achieve this we ask you to: · treat your fellow users and library staff with respect and courtesy · carry your College ID or Library membership card in order to access

Applebaum, David

50

An empirical analysis of customer satisfaction for Intranet marketing systems  

Science Journals Connector (OSTI)

We study the drivers of customer satisfaction for Intranet marketing application systems. Based on the existing literature on business value of information technology, we provide a framework to understand the drivers of overall customer satisfaction with Intranet solutions. Our analysis based on data collected from a survey of over thirty firms that use Intranet marketing applications indicates that customers perceive features that lower total cost of ownership and provide competitive benefits as critical drivers of overall customer satisfaction with the systems. The implications of our findings for providers of Intranet marketing services are discussed.

Mayuram S. Krishnan; Venkatram Ramaswamy

1998-01-01T23:59:59.000Z

51

Customer Acquisition | Department of Energy  

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

child looking at a silver box on the outside of a home. Customer acquisition costs in the solar energy industry include marketing efforts to reach potential customers and salary...

52

Net Requirements Transparency Process for Slice/Block Customers  

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

on July 31, 2012 BPA published the SliceBlock customers' FY2011 and FY2013 Total Retail Load (TRL) and Dedicated Resource data. A review and comment period followed, which was...

53

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

Annual Energy Outlook 2012 (EIA)

2014 Year to Date Customs District April - June 2014 January - March 2014 April - June 2013 2014 2013 Percent Change Eastern Total 14,307,904 16,331,296 16,667,115 30,639,200...

54

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

55

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

56

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.

57

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

58

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

59

SPPR Project Customer Comments Summary  

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

The following entities have provided comments on the SPPR Project as proposed by Western in the October 6, 2010 customer meeting. Colorado River Commission of Nevada...

60

Customer Service Reliability Program Specialist  

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

This position is located in Transmission Services Planning and Asset Management, in the Customer Service Engineering (TPC) organization. A successful candidate in this position will be a...

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

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

62

Residential Energy Efficiency Customer Service Best Practices...  

Energy Savers (EERE)

Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call January 22, 2015...

63

Hybrid Dynamical Systems, or HDS: The Ultimate Switching Experience  

E-Print Network (OSTI)

Hybrid Dynamical Systems, or HDS: The Ultimate Switching Experience Michael S. Branicky Laboratory concentrated on formalizing the notion of a hybrid system as switching among an indexed collection of dynamical give a quick overview of the area of hybrid systems. I also briefly review the formal definition

Branicky, Michael S.

64

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

65

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

E-Print Network (OSTI)

Agents offer a new and exciting way of understanding the world of work. In this paper we describe the development of agent-based simulation models, designed to help to understand the relationship between people management practices and retail performance. We report on the current development of our simulation models which includes new features concerning the evolution of customers over time. To test the features we have conducted a series of experiments dealing with customer pool sizes, standard and noise reduction modes, and the spread of customers' word of mouth. To validate and evaluate our model, we introduce new performance measure specific to retail operations. We show that by varying different parameters in our model we can simulate a range of customer experiences leading to significant differences in performance measures. Ultimately, we are interested in better understanding the impact of changes in staff behavior due to changes in store management practices. Our multi-disciplinary research team draws...

Siebers, Peer-Olaf; Celia, Helen; Clegg, Chris

2010-01-01T23:59:59.000Z

66

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.

67

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

68

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

69

The Quest for Ultimate Broadband High Power Microwaves  

E-Print Network (OSTI)

Paper describes High Power Microwave research of combining GW peak power to achieve MV/m and GV/m radiated fields in 1 to 500 GHz band. To achieve such fields multiple independently triggered broadband GW sources, supplying power to multiple spatially distributed broadband radiators/antennas are used. Single TW array is used as an ultimate microwave weapon in 1 to 5 GHz range while multiple TW arrays provide GV/m radiating field at plasma frequencies in 300 GHz range leading to fusion power.

Podgorski, Andrew S

2014-01-01T23:59:59.000Z

70

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

71

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

72

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.

73

Does Customer Auditing Help Chinese Workers?  

E-Print Network (OSTI)

Does Customer Auditing Help Chinese Workers? Guojun He* andgovernment training and help, (4) fines and punishments, (5)

He, Goujun; Perloff, Jeffrey M.

2012-01-01T23:59:59.000Z

74

TOTAL Full-TOTAL Full-  

E-Print Network (OSTI)

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

Portman, Douglas

75

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

76

Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles  

Science Journals Connector (OSTI)

Online retailing provides an opportunity for new pricing options that are not feasible in traditional retail settings. This paper proposes an interactive, dynamic pricing strategy from the perspective of customized bundling to derive savings for customers ... Keywords: bundling, customer budget, customized bundle, e-tailing, multistage dynamic pricing, nonlinear mixed-integer programming, online retailing, reservation price

Yuanchun Jiang; Jennifer Shang; Chris F. Kemerer; Yezheng Liu

2011-07-01T23:59:59.000Z

77

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

78

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,

79

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

80

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.

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

CATHARE calculations of Phenix ultimate natural convection test  

SciTech Connect

The Phenix Sodium cooled Fast Reactor (SFR) started operation in 1973 and it was stopped in 2009. Before the reactor was definitively shutdown, in order to collect experimental data for code assessments in the frame of Generation IV an intensive program of ultimate tests was set up. Among these ultimate experiments, two thermal hydraulic tests were performed: an asymmetrical test consisting in a trip on one secondary pump and a natural convection test in the primary circuit. The natural convection test has been used for an international benchmark on system codes in the frame of the IAEA. The CATHARE code - initially developed for water cooled reactors and now extended for safety analyses for other kinds of reactors, including Sodium Fast Reactor - was used by CEA for this benchmark. The paper reminds briefly the Phenix reactor with the main physical parameters and the instrumentation used during the natural convection test. Main test results are also briefly reminded including the evolution of the core and the heat exchangers inlet and outlet temperatures, and some local temperature measurements. The main developments to perform CATHARE SFR computations and the strategy of system code assessment are presented. Then the CATHARE modelling of Phenix reactor is depicted and the various assumptions are pointed out. CATHARE encountered no problem to predict the initial nominal state. Afterwards, the whole transient scenario is calculated and CATHARE calculations are compared to the Phenix measurements. The global trend is rather well predicted by the CATHARE code. Nevertheless, due to complex flow phenomena occurring in large plena and components, the system code encountered physical limitations, leading to remaining discrepancies between code prediction and plant data. Various sensitivity calculations are presented and they bring partial answers. Additional analyses are in progress to understand more deeply the complex 3D phenomena involved during the different phases of the natural convection test. Additional work for coupling CATHARE system code and TRIO-U CFD code is in progress and will bring useful information to better understand the physical phenomena involved during the natural convection test and to improve system modeling for future SFR safety analysis. (authors)

Pialla, D.; Tenchine, D. [CEA, DEN, DM2S/STMF, Grenoble, F-17 rue des Martyrs, 38000 Grenoble (France); Gauthe, P. [CEA, DEN, DER/SESI, Cadarache, F-13108 Saint Paul lez Durance (France); Vasile, A. [CEA, DEN, DER, Cadarache, F-13108 Saint Paul lez Durance (France)

2012-07-01T23:59:59.000Z

82

THERMAL PERFORMANCE MEASUREMENTS ON ULTIMATE HEAT SINKS - COOLING...  

Office of Scientific and Technical Information (OSTI)

total down and net radiation are sub- stantially affected by the state of the sky in terms of cloudi- ness. The data volume contains both sets of data and also, in this Chapter,...

83

Is the light emitting diode (LED) an ultimate lamp?  

Science Journals Connector (OSTI)

Simple diagrams are used to show the transformation of a thin “slab” of intrinsic semiconductor (direct gap k elec =k hole ) from an ideal “flat-band” photopumped recombination-radiation light source into an ultimate lamp a p–n junctionlight emitting diode(LED). A photoexcited intrinsic slab of semiconductor can be regarded as an ideal (“flat-band”) light source with however the photogenerated carriers and voltage available externally instead of as recombination radiation (light) if the slab is converted to half p type (one side) and half n type (the other side) i.e. to a p–n junction. If an equal a “bucking ” external voltage is applied resulting in an input current when the photoexcitation is removed the slab becomes again (remains) an ideal “flat-band” light source a p–n junctionLED. In practice the LED takes the form of a p–n heterostructure in order to improve electron–hole injection reduce the absorption of recombination radiation and to make possible—with proper geometries—improved photon escape.

N. Holonyak Jr.

2000-01-01T23:59:59.000Z

84

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

85

Platform for a modern grid: customer engagement  

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

stories engaging the customer when deploying new technologies in the nation's largest smart grid demonstration. Related Articles (by tag) NWPPA spotlights synchrophasors,...

86

Utility Partnership Webinar Series: Industrial Customer Perspectives...  

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

Email: jredick@bcs-hq.com Presentations: http:www1.eere.energy.govindustryutilities A premier aerospace and defense company 3 An Industrial Customer Perspective on...

87

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...

88

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

E-Print Network (OSTI)

of price response (price elasticity of demand, substitutionprice elasticity of demand was used to characterize customer response,

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

2007-01-01T23:59:59.000Z

89

Price war with migrating customers Patrick Maille  

E-Print Network (OSTI)

Price war with migrating customers Patrick Maill´e TELECOM Bretagne 2, rue de la Ch^ataigneraie CS customers churn between providers due to better prices, better reputation or better services. We propose in this paper to study the price war between two providers in the case where users' decisions are modeled

Paris-Sud XI, Université de

90

Chapter 1 - Social engineering: The ultimate low tech hacking threat  

Science Journals Connector (OSTI)

Publisher Summary This chapter presents various social engineering topics, from understanding the minds of hackers and victims to methods for protecting personal, household and business information from theft and destruction. Social engineering has become the low tech hacker's most valuable and effective tool. The bad guys have continued to use the art of the con to gain access to intellectual property and if necessary the buildings that house that property. In this chapter, several examples illustrate how social engineering attacks happen in homes and businesses, and possible measures to prevent them. Today, every area of concern with security involves managing the risks associated with staying safe and secure. Most of the social engineering tools come from yard sales, thrift stores, flea markets, pawn shops, and Internet. This ranges from hats, jackets with corporate logos, tool belts, tools, listening devices, briefcases, spyware, and locks that can be used quite effectively for social engineering. The overall sneakiness of the threats associated with social engineering make it very easy for social engineers to catch anyone off guard. Several useful risk management countermeasures against social engineering are also described in the chapter. Social engineering is not a new phenomenon. Yet, it is still one of the most effective outsider-insider threats to any security plan. Despite valiant attempts by corporations to manage risk by not becoming victims of social engineering attacks, it is often far too easy for hackers to use the art of the con to gain access to intellectual property and to the buildings housing that property. This chapter explores the phenomenon of social engineering and explains why it is the ultimate low tech hacking threat. The chapter begins by explaining what social engineering is and how easy it is to pull off. Next, it digs into the minds of a social engineering attacker and a victim of an attack, and covers some of the more popular tools of the trade. The chapter also includes interviews with specialists in technical security issues, and closes with a few countermeasures associated with social engineering.

Jack Wiles; Terry Gudaitis; Jennifer Jabbusch; Russ Rogers; Sean Lowther

2012-01-01T23:59:59.000Z

91

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]]

92

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"

93

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

94

The Influence of the 4n2Light Trapping Factor on Ultimate Solar Cell Efficiency  

Science Journals Connector (OSTI)

The standard Shockley-Queisser approach to ideal ultimate solar cell efficiency makes a number of idealistic assumptions. Under even slightly non-ideal conditions, the...

Yablonovitch, Eli; Miller, Owen

95

Price-Responsive Load Among Mass-Market Customers  

Science Journals Connector (OSTI)

Mass-market customers are able to respond real-time pricing and other innovative rates. In fact, the technology available to mass-market customers and suppliers make these customers a unique component of a bal...

Daniel M. Violette

2002-01-01T23:59:59.000Z

96

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.

97

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...

98

Will customer choice always lower costs?  

SciTech Connect

Since competition may either increase or decrease electricity costs for individual customers, regulators need the authority and tools to determine whether retail competition will result in a lower or higher cost of electric service, and whether anti-competitive conduct can be detected. Today`s regulations of the electric industry generally allows only a single supplier to serve all retail customers within an exclusive service territory. Due to changes in technology, law, and in what might best be called philosophy, many large customers are now being joined by independent power producers, marketers and brokers in arguing that a multitude of suppliers should be allowed to compete to serve retail customers. Thus, a critical issue regulators and legislatures must address is whether or not to allow more than one supplier of electricity at the retail level. The primary economic rationale for permitting exclusive service territories and a single retail provider is the existence of a natural monopoly. The driving force for retail competition, on the other hand, is the perception that a less costly non-utility option is available for a number of customers. Conventional wisdom seems to see natural monopoly and lower-cost options for customers as mutually exclusive alternatives. That is, it is often thought that there can be no less costly alternative for any customer if a natural monopoly exists. Conversely, if there is a cheaper alternative for any customer, many see this as evidence that a natural monopoly no longer exists, and that free entry into the retail market should be allowed.

Corneli, S.B.

1996-10-01T23:59:59.000Z

99

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

100

Ultimate strength of carbon nanotubes: A theoretical study Qingzhong Zhao, Marco Buongiorno Nardelli, and J. Bernholc  

E-Print Network (OSTI)

Ultimate strength of carbon nanotubes: A theoretical study Qingzhong Zhao, Marco Buongiorno 27695-8202 Received 7 June 2001; published 27 March 2002 The ultimate strength of carbon nanotubes is investigated by large-scale quantum calculations. While the formation energy of strain-induced topological

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

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

E-Print Network (OSTI)

Estimating Large-Customer Demand Response Market Potential:Syracuse, NY ABSTRACT Demand response (DR) is increasinglyestimated. Introduction Demand response (DR) is increasingly

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

2007-01-01T23:59:59.000Z

102

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

103

Mobile Customer Relationship Management: a communication perspective  

Science Journals Connector (OSTI)

Although communication has been investigated within relationship-oriented contexts, studies concerning communication within Customer Relationship Management (CRM) are scarce, especially when customer relationships are managed with the aid of the mobile medium. The purpose of this study is to increase general understanding of communication within the mobile context, in which the communicating parties are connected through the mobile medium. The authors present a model of the communication process within the mobile context based on a case study. The main results of the study indicate that the communication process within the mobile context differs significantly from the process through traditional channels.

Jaakko Sinisalo; Heikki Karjaluoto

2007-01-01T23:59:59.000Z

104

The Vehicle Scheduling Problem with Intermittent Customer Demands W. C. Benton  

E-Print Network (OSTI)

Engineering The Ohio State University May 9, 1991 revised June 11, 2008 #12;Abstract The vehicle scheduling is to minimize the total cost of operating the vehicle fleet. The key cost components are labor, fuelThe Vehicle Scheduling Problem with Intermittent Customer Demands W. C. Benton Academic Faculty

Rossetti, Manuel D.

105

A numerical model for ultimate soil resistance to an untrenched pipeline under ocean currents  

Science Journals Connector (OSTI)

One of the main concerns for pipeline on-bottom stability design is to properly predict ultimate soil resistance in severe ocean environments. A plane-strain finite element model ... the partially-embedded pipeli...

Fu-ping Gao ???; Xi-ting Han ???; Shu-ming Yan ???

2012-06-01T23:59:59.000Z

106

Effects of fracturing fluid recovery upon well performance and ultimate recovery of hydraulically fractured gas wells  

E-Print Network (OSTI)

EFFECTS OF FRACTURING FLUID RECOVERY UPON WELL PERFORMANCE AND ULTIMATE RECOVERY OF HYDRAULICALLY FRACTURED GAS WELLS A Thesis IAN MARIE BERTHELOT Submitted to the Office of Graduate Studies of Texas AdtM University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1990 Major Subject: Petroleum Engineering EFFECTS OF FRACTURING FLUID RECOVERY UPON WELL PERFORMANCE AND ULTIMATE RECOVERY OF HYDRAULICALLY FRACTURED GAS WELLS by JAN MARIE BERTIIELOT Appmved...

Berthelot, Jan Marie

2012-06-07T23:59:59.000Z

107

Ubiquitous Computing, Customer Tracking, and Price Discrimination  

E-Print Network (OSTI)

Ubiquitous Computing, Customer Tracking, and Price Discrimination Alessandro Acquisti H. John Heinz's analysis is the possibility of combining context, historical, location and other personal data to dynamically alter the price of a product for each consumer - a form of price discrimination also known

Sadeh, Norman M.

108

.NET gadgeteer: a platform for custom devices  

Science Journals Connector (OSTI)

.NET Gadgeteer is a new platform conceived to make it easier to design and build custom electronic devices and systems for a range of ubiquitous and mobile computing scenarios. It consists of three main elements: solder-less modular electronic hardware; ...

Nicolas Villar; James Scott; Steve Hodges; Kerry Hammil; Colin Miller

2012-06-01T23:59:59.000Z

109

Barge Truck Total  

Annual Energy Outlook 2012 (EIA)

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

110

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

111

Customer and retailer rebates under risk aversion  

Science Journals Connector (OSTI)

In a supply chain setting, we analyze a manufacturer's customer and retailer rebates, which are sales incentives offered to the end buyers and retailers, respectively. The performance of both rebates is influenced by the retailer's objective and response to the promotion due to his intermediary position in the channel. Earlier studies investigating rebates in distribution channels have traditionally assumed that the retailer is risk neutral with the objective of maximizing expected profits. In our paper, we consider a risk-averse retailer. We formally model risk aversion by adopting the Conditional-Value-at-Risk (CVaR) decision criterion. Using a stochastic and (effective) price dependent demand, we analyze the manufacturer's rebate amount decisions and the retailer's joint inventory and pricing decisions in a game theoretical framework. We provide several structural properties of the objective functions and show monotonicity of the retailer's decisions in the degree of risk aversion. For the case of retailer rebates, we characterize the unique equilibrium, and for the case of customer rebates, we prove the existence of an equilibrium. Using numerical examples, we provide further insights on the impact of risk aversion. For example, given an exogenous wholesale price, we observe a threshold value on the retailer's risk-aversion parameter below (above) which the manufacturer is better off with retailer rebates (customer rebates); implying that the manufacturer's preferred rebate type can be different depending on whether the retailer is risk neutral or sufficiently risk averse.

Ozgun Caliskan-Demirag; Youhua (Frank) Chen; Jianbin Li

2011-01-01T23:59:59.000Z

112

DOE Zero Energy Ready Home Case Study: Sterling Brook Custom...  

Energy Savers (EERE)

Sterling Brook Custom Homes, Double Oak, TX DOE Zero Energy Ready Home Case Study: Sterling Brook Custom Homes, Double Oak, TX Case study of a DOE Zero Energy Ready home in Double...

113

Exploring customer perceived value in mobile phone services  

Science Journals Connector (OSTI)

The purpose of this study is to identify perceived values in mobile phone services, and further explore the relationships among perceived value, customer satisfaction, and customer loyalty. A mediated regression analysis was used and 218 savvy mobile ...

Yung-Shen Yen

2012-02-01T23:59:59.000Z

114

Hidden Markov models and their applications to customer relationship management  

Science Journals Connector (OSTI)

......customer relationship management. Numerical examples...customer relationship management. In marketing research...hk IMA Journal of Management Mathematics Vol. 15...K. CHING ET AL. science (Koski, 2001), engineering...dynamic programming approach for the computation......

Wai-Ki Ching; Michael K. Ng; Ka-Kuen Wong

2004-01-01T23:59:59.000Z

115

Synthesis Techniques for Semi-Custom Dynamically Reconfigurable Superscalar Processors  

E-Print Network (OSTI)

often disregarded assessment for partial reconfiguration. Common reconfigurable computing approaches today attempt to create custom circuitry in static co-processor accelerators. We instead focused on a new approach that synthesized semi-custom general...

Ortiz, Jorge

2009-12-22T23:59:59.000Z

116

Bank Customers' Channel Preferences for Requesting Account Balances  

Science Journals Connector (OSTI)

Electronic applications in banking have enhanced customers' ability to control the balances and latest transactions of their bank accounts. Many banks today offer this service also via mobile channel further improving customers' capability to use the ...

Tommi Laukkanen

2007-01-01T23:59:59.000Z

117

Segmenting bank customers by resistance to mobile banking  

Science Journals Connector (OSTI)

The objective of the study is to explore bank customers' varying reasons for resisting mobile banking services. Before being adopted, all innovations face various types of resistance that may paralyse customers' desire to adopt an innovation. ...

Tommi Laukkanen; Suvi Sinkkonen; Pekka Laukkanen; Marke Kivijarvi

2008-03-01T23:59:59.000Z

118

Influence of the chord bending on the ultimate capacity of RHS-T joint  

SciTech Connect

Using FE technique, an extensive parameter study is carried out in order to investigate the influence of the chord bending moment on the ultimate axial load capacity of T-joint in RHS. By separating the effect of chord bending moment from the effect of concentrated load, failure of T-Joint in RHS can be described in a clear manner. Using the regression analysis, an interaction formula between the ultimate axial load capacity and the chord bending moment has been obtained which will form a basis for the investigation into the behavior of multiplanar T-joints and the behavior of multiplanar X-joints in RHS.

Yu, Y.; Wardenier, J. [Delft Univ. of Technology (Netherlands)

1995-12-31T23:59:59.000Z

119

Customer Order-Driven BOCR-Based Supplier Selection  

Science Journals Connector (OSTI)

This paper develops a novel approach to selecting the best supplier for meeting a specific customer order with regard to the benefits, opportunities, costs and risks (BOCR) dimensions. The impact of the customer order attributes on the BOCR dimensions ... Keywords: Customer Order, Benefits, Opportunities, Costs and Risks (BOCR), Dimension Weighting, Multicriteria Decision Making (MCDM)

Chang Joo Yun; Chung-Hsing Yeh; Susan Bedingfield

2014-01-01T23:59:59.000Z

120

Using Utility Information to Calibrate Customer Demand Management Behavior Models  

E-Print Network (OSTI)

Using Utility Information to Calibrate Customer Demand Management Behavior Models Murat Fahrio ­ Madison Report PSerc 99­06 June 10, 1999 Abstract In times of stress customers can help a utility by means be optimized if the utility can estimate the outage or substitution costs of its customers. This report

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

CUSTOM SYNTHESIS by TDC RESEARCH,Inc. To follow up on our conversation regarding TDC Research Custom Synthesis program  

E-Print Network (OSTI)

CUSTOM SYNTHESIS by TDC RESEARCH,Inc. To follow up on our conversation regarding TDC Research Custom Synthesis program: Here is a brief description of what we can/will do in the custom synthesis area will perform re-synthesis and scale up of any length for any compound up to 500 g. Occasionally we will do kilo

Hudlicky, Tomas

122

Finding Ultimate Limits of Performance for Hybrid Electric Edward D. Tate  

E-Print Network (OSTI)

00FTT-50 Finding Ultimate Limits of Performance for Hybrid Electric Vehicles Edward D. Tate Stephen electric vehicles are seen as a solution to improving fuel economy and reducing pollution emissions from including: · nonlinear fuel/power maps · min and max battery charge · battery efficiency · nonlinear vehicle

123

Temperature dependent elastic constants and ultimate strength of graphene and graphyne  

E-Print Network (OSTI)

Temperature dependent elastic constants and ultimate strength of graphene and graphyne Tianjiao strength of graphene and graphyne Tianjiao Shao,1,2 Bin Wen,1,a) Roderick Melnik,3,4 Shan Yao,2 Yoshiyuki strength of graphene and graphyne. For the linear thermal expan- sion coefficient, both graphene

Melnik, Roderick

124

The Ultimate-Sustainable-Yield Problem in Nonlinear Age-Structured Populations*  

E-Print Network (OSTI)

that it assumes that recruitment is independent of population density. *This work was partially supportedThe Ultimate-Sustainable-Yield Problem in Nonlinear Age-Structured Populations* WAYNE M. GETZ Africa Received 24 January 1979; revised IO Ju& 1979 ABSTRACT The Beverton-Holt theory of harvesting

Getz, Wayne M.

125

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

126

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

127

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

128

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

129

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

130

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

131

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

132

Custom VLSI circuits for high energy physics  

SciTech Connect

This article provides a brief guide to integrated circuits, including their design, fabrication, testing, radiation hardness, and packaging. It was requested by the Panel on Instrumentation, Innovation, and Development of the International Committee for Future Accelerators, as one of a series of articles on instrumentation for future experiments. Their original request emphasized a description of available custom circuits and a set of recommendations for future developments. That has been done, but while traps that stop charge in solid-state devices are well known, those that stop physicists trying to develop the devices are not. Several years spent dodging the former and developing the latter made clear the need for a beginner`s guide through the maze, and that is the main purpose of this text.

Parker, S. [Univ. of Hawaii, Honolulu, HI (United States)

1998-06-01T23:59:59.000Z

133

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

134

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

135

Variations of Total Domination  

Science Journals Connector (OSTI)

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

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

136

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

SciTech Connect

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

137

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

138

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

139

Evaluating Electric Vehicle Charging Impacts and Customer Charging...  

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

Electric Vehicle Charging Impacts and Customer Charging Behaviors: Experiences from Six Smart Grid Investment Grant Projects (December 2014) Evaluating Electric Vehicle Charging...

140

Strategies of Customer Relationship Profitability in Retail Banking.  

E-Print Network (OSTI)

?? The thesis aims to explore the strategies or tactics which make the retail banking profit from customer relationship. Through analyzing RR (relationship revenue) and… (more)

Guo, Qingyu

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.


141

Industrial Customer Perspectives on Utility Energy Efficiency Programs  

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

These presentations from ATK Aerospace Systems, Owens Corning, and Ingersoll Rand provide context for industrial customer perspectives on utility energy efficiency programs.

142

Experiences from the Consumer Behavior Studies on Engaging Customers  

Office of Environmental Management (EM)

development and use of: systems for notifying customers of pricing levels andor demand response (e.g., critical peak) events; information about how to manage consumption and...

143

Responsive pricing for retail competition - a customer perspective  

SciTech Connect

Market forces have motivated utility customers to institute a work process improvement program which has resulted in reorganizations, increased market focus, re-engineering and cost reductions. The market has also provided motivation to look for new and creative ways to work with customers and suppliers. Factors involved in competitive power sourcing strategies which play a role in customer decisions are discussed. Electricity users need efficient, flexible, customer-focused suppliers and a choice of competitively priced electrical service. Government and regulatory policy needs to support and encourgage competitive actions by utilities so that they can effectively participate in the evolving market.

Meade, D. [Praxair, Inc., Tonawanda, NY (United States)

1994-12-31T23:59:59.000Z

144

Nevada Renewable Energy Application For Net Metering Customers...  

Open Energy Info (EERE)

Renewable Energy Application For Net Metering Customers Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Nevada Renewable Energy Application For Net...

145

California Customer Load Reductions during the Electricity Crisis...  

Open Energy Info (EERE)

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...

146

1-nm-thick graphene tri-layer as the ultimate copper diffusion barrier  

SciTech Connect

We demonstrate the thinnest ever reported Cu diffusion barrier, a 1-nm-thick graphene tri-layer. X-ray diffraction patterns and Raman spectra show that the graphene is thermally stable at up to 750?°C against Cu diffusion. Transmission electron microscopy images show that there was no inter-diffusion in the Cu/graphene/Si structure. Raman analyses indicate that the graphene may have degraded into a nanocrystalline structure at 750?°C. At 800?°C, the perfect carbon structure was damaged, and thus the barrier failed. The results of this study suggest that graphene could be the ultimate Cu interconnect diffusion barrier.

Nguyen, Ba-Son [Department of Mechanical Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan (China); Lin, Jen-Fin [Department of Mechanical Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan (China); Center for Micro/Nano Science and Technology, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan (China); Perng, Dung-Ching, E-mail: dcperng@ee.ncku.edu.tw [Institute of Microelectronics and Electrical Engineering Department, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan (China); Center for Micro/Nano Science and Technology, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan (China)

2014-02-24T23:59:59.000Z

147

Now Available- Customer Participation in the Smart Grid: Lessons Learned  

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

The Office of Electricity Delivery and Energy Reliability has released a new report titled "Customer Participation in the Smart Grid: Lessons Learned." The report highlights the experiences of four Recovery Act Smart Grid Investment Grant projects with customer education and outreach efforts, which are key ingredients for Smart Grid success.

148

Customer Participation in the Smart Grid: Lessons Learned (September 2014)  

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

Smart meters and customer system programs were deployed by 65 of the projects that received funding through the Recovery Act Smart Grid Investment Grants. This report features the experiences of four projects with customer education and outreach: Central Maine Power, Entergy New Orleans, Reliant Energy Retail Services, and Sioux Valley Energy.

149

Airline price discrimination: A practice of yield management or customer  

E-Print Network (OSTI)

Airline price discrimination: A practice of yield management or customer profiling? Rasha H.h.j.dierckx@student.utwente.nl ABSTRACT Prices of airline tickets frequently change, which is traditionally caused by yield management as price discrimination practice. In more recent times however, customer information is easily obtainable

Twente, Universiteit

150

Product platform design and customization: Status and promise  

Science Journals Connector (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

151

CUSTOMER COMMENTS ON COUNCIL'S DRAFT RECOMMENDATIONS REGARDING BPA'S FUTURE ROLE  

E-Print Network (OSTI)

1 CUSTOMER COMMENTS ON COUNCIL'S DRAFT RECOMMENDATIONS REGARDING BPA'S FUTURE ROLE INTRODUCTION These comments are submitted on behalf of BPA's customers in response to the draft recommendations released into the topic of BPA's future role, and look forward to continuing to work with the Council to successfully

152

Measuring mobile banking customers' channel attribute preferences in service consumption  

Science Journals Connector (OSTI)

The purpose of the paper was to measure mobile banking customers' channel attribute preferences in two different banking services, namely request for account balance service and bill paying. An Internet survey was implemented and conjoint analysis ... Keywords: account balance, bills payment, conjoint analysis, consumer preferences, customer preferences, financial services, m-banking, m-services, mobile banking, mobile communications, mobile services

Tommi Laukkanen

2007-01-01T23:59:59.000Z

153

Agile Customer Engagement: a Longitudinal Qualitative Case Study  

E-Print Network (OSTI)

.e. a supplier of packaged software. Most published work on agile processes focus on single-customer development a plan-based development process to an evolutionary software development process. The agile method being Customer Engagement, Agile Process, Stakeholder Management, Process Transition. 1. INTRODUCTION Software

154

GIS Programming and Customization GIS 6103 -Fall 2014  

E-Print Network (OSTI)

GIS Programming and Customization GIS 6103 - Fall 2014 School of Forest Resources & Conservation _________________________________________________________________________________________ 1 GIS 6103 - GIS Programming and Customization INSTRUCTOR: Dr. Hartwig Henry HOCHMAIR Assistant conference meeting. REQUIRED READINGS: - Amirian, P. (2013). Beginning ArcGIS for Desktop Development using

Watson, Craig A.

155

Custom Spectral Shaping for EMI Reduction in Electronic Ballasts  

E-Print Network (OSTI)

modulating waveforms, for custom spectral shaping of the fundamental harmonic of electronic ballastsCustom Spectral Shaping for EMI Reduction in Electronic Ballasts Sandra Johnson, Yan Yin, Regan Zane Colorado Power Electronics Center University of Colorado at Boulder Boulder, Colorado 80309

156

Total Space Heat-  

Annual Energy Outlook 2012 (EIA)

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

157

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.

158

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

159

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,

160

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

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

Electronic copy available at: http://ssrn.com/abstract=2065816 Ultimate Ownership Structure and Bank Regulatory Capital Adjustment  

E-Print Network (OSTI)

Electronic copy available at: http://ssrn.com/abstract=2065816 1 Ultimate Ownership Structure), Tel: + 33 5 55 14 92 51. hal-00918579,version1-13Dec2013 #12;Electronic copy available at: http

Boyer, Edmond

162

The effect of customer segmentation on an inventory system in the presence of supply disruptions  

Science Journals Connector (OSTI)

Customer segmentation is an important marketing tool. Effective customer segmentation helps the enterprises increase profits and improve customer service level. On the other hand, due to possible detrimental consequences, supply disruptions have been ...

Yuerong Chen; Xueping Li

2009-12-01T23:59:59.000Z

163

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.

164

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

165

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

166

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)

167

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"

168

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.

169

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,

170

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

171

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:

172

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.

173

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

174

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.

175

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

176

USAA: Organizing for Innovation and Superior Customer Service  

E-Print Network (OSTI)

USAA, a diversified financial services firm serving the U.S. military, had long been recognized for outstanding customer service. The company had never operated branches, instead providing services through remote channels, ...

Ross, Jeanne W.

2010-12-01T23:59:59.000Z

177

Improving customer service level through centralized supply flexibility  

E-Print Network (OSTI)

This thesis explores a combined application of Supply Chain Management theory for centralized and decentralized distribution systems and Customer Relationship Management techniques in data mining to solve the challenges ...

Hsu, Mindy H. (Mindy Hsin-Min)

2006-01-01T23:59:59.000Z

178

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...

179

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, Laëtitia

2005-01-01T23:59:59.000Z

180

DOE GC Joins Customs Service Trade Data System to Strengthen...  

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

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...

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

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

182

A Database-driven decision support system: customized mortality prediction  

E-Print Network (OSTI)

We hypothesize that local customized modeling will provide more accurate mortality prediction than the current standard approach using existing scoring systems. Mortality prediction models were developed for two subsets ...

Celi, Leo Anthony G.

183

Changing the Electricity Customer Mentality, Under Energy Market Liberalisation Circumstances  

Science Journals Connector (OSTI)

Considering the present changes and the improvement of electricity supplier-customer relationship, the “shock” of changing mentality is a must, for the utility as well as for the electric energy consumers.

Laurentia Predescu; Oana Popescu

2001-01-01T23:59:59.000Z

184

Small Business Customized Excerpts from the User’s Guide  

Office of Energy Efficiency and Renewable Energy (EERE)

Small Business Customized Excerpts from the User’s Guide, to assist in the process for applying to the Small Business Innovation Research (SBIR) program of the U.S. Department of Energy.

185

Field-Programmable Custom Computing Machines - A Taxonomy -  

Science Journals Connector (OSTI)

The ability for providing a hardware platformwhich can be customized on a per-application basis under software control has established Reconfigurable Computing (RC) as a new computing paradigm. A machine employing the RC paradigm is referred to as a ...

Mihai Sima; Stamatis Vassiliadis; Sorin Cotofana; Jos T. J. van Eijndhoven; Kees A. Vissers

2002-09-01T23:59:59.000Z

186

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...

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

187

Keep It Simple: Learning How to Think Like the Customer  

Office of Environmental Management (EM)

Document 2 Focus Groups and Customer Surveys What we learned o Saving money on energy bills o Time spent with the auditor o Photos of what needs to be fixed o More...

188

Segmenting Bank Customers by Resistance to Mobile Banking  

Science Journals Connector (OSTI)

The objective of the study is to explore bank customers' varying reasons for resisting mobile banking services. Today mobile communications technologies offer vast additional value for consumers' banking transactions due to their always-on functionality ...

Tommi Laukkanen; Suvi Sinkkonen; Marke Kivijarvi; Pekka Laukkanen

2007-07-01T23:59:59.000Z

189

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

190

Contract Provisions and Ratchets: Utility Security or Customer Equity?  

E-Print Network (OSTI)

CONTRACT PROVISIONS ANO RATCHETS: UTILITY SECURITY OR CUSTOMER EQUITY? BARBARA A. PENKALA Senior Research Analyst Houston Lighting & Power Company Houston. Texas ABSTRACT The contract provisions and ratchets con tained in an electric.... INTRODUCTION The pricing structures of large commercial and industrial electric tariffs often contain various contract provisions which provide for some minimum demand to be billed to the customer over a period of time. These contract provisions include...

Penkala, B. A.

191

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

192

A Methodology for Estimating Large-Customer Demand Response Market Potential  

E-Print Network (OSTI)

Estimating Large-Customer Demand Response Market PotentialEstimating Large-Customer Demand Response Market PotentialSyracuse, NY ABSTRACT Demand response (DR) is increasingly

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

2008-01-01T23:59:59.000Z

193

Production Planning and Control for Mass Customization – A Review of Enabling Technologies  

Science Journals Connector (OSTI)

Production planning and control (PPC) is critical to the success of mass customization (MC). It ensures production systems fulfill individual customer orders while meeting specifications, remaining within budg...

Mitchell M. Tseng; Andreas M. Radke

2011-01-01T23:59:59.000Z

194

An Algorithm for Computing Customized 3D Printed Implants with Curvature Constrained Channels for Enhancing  

E-Print Network (OSTI)

An Algorithm for Computing Customized 3D Printed Implants with Curvature Constrained Channels results in 3D printing and steerable needle motion planning to create customized implants containing

North Carolina at Chapel Hill, University of

195

Microsoft PowerPoint - Customer Follow Up RHWM BP-16 Workshop...  

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

since the initial forecasts were distributed in FebruaryMarch 2014 * 7 SliceBlock contract customers * 6 Load following contract customers Forecast changes have had minimal...

196

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

197

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

198

Total Precipitable Water  

SciTech Connect

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

None

2012-01-01T23:59:59.000Z

199

Total Sustainability Humber College  

E-Print Network (OSTI)

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

Thompson, Michael

200

"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

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

"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

202

Ultimate and accidental limit state design for mooring systems of floating offshore wind turbines  

Science Journals Connector (OSTI)

Abstract The paper deals with the catenary mooring system design for tri-floater floating offshore wind turbines. Both ultimate (ULS) and accidental (ALS) limit states are examined, under 50 and 1 year return period environmental loads. Both power production and parked wind turbine conditions are analysed; for the former the ULS is applied, for the latter both ULS and ALS are considered. The platform static demand is assessed in terms of turbine thrust, wind, current and wave steady drift forces. The dynamic offset is determined considering both wave and low-frequency motions. Mooring patterns with 6, 9 and 12 chain cable and steel wire rope lines are considered. Water depth incidence is examined in the range between 50 and 300 m and the mooring system is dimensioned so that the relevant weight is determined. The Dutch tri-floater is assumed as reference structure and three candidate sites in the Southern Mediterranean Sea are considered. It is found that platform admissible offset and line pattern significantly influence the mooring system weight; obtained results show that 9 and 12 line configurations are the necessary choice and the mooring line weight is independent of water depth between 100 and 200 m, while increases out of this range.

G. Benassai; A. Campanile; V. Piscopo; A. Scamardella

2014-01-01T23:59:59.000Z

203

Long-term Analysis of Gear Loads in Fixed Offshore Wind Turbines Considering Ultimate Operational Loadings  

Science Journals Connector (OSTI)

Abstract The long-term extreme value analysis of gear transmitted load due to the main shaft torque is presented. Two methods, the multibody simulations (MBS) and a simplified method, are demonstrated for the gear transmitted load calculation. The simplified method is verified by the MBS results. The long-term extreme value of the gear transmitted load for wind speeds from the cut-in to the cut-out values is calculated by the simplified method from the long-term distribution of the main shaft torque. Three statistical methods for long-term extreme value analysis of the main shaft torque in the offshore wind turbines are presented. They are then used to predict the extreme value of the gear transmitted load. An alternative approach, the design state or the environmental contour method is proposed and verified by the full long-term results. The methods are exemplified by a 5 MW gearbox case study. The results of this paper are the basis for further work in Ultimate Limit State (ULS) gear design.

Amir R. Nejad; Zhen Gao; Torgeir Moan

2013-01-01T23:59:59.000Z

204

Total isomerization gains flexibility  

SciTech Connect

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

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

1983-05-01T23:59:59.000Z

205

Total assessment audits (TAA) in Iowa  

SciTech Connect

Traditionally, energy, waste reduction and productivity audits are performed for a manufacturing facility independent of one another. Auditors generally deliver recommendations for improvement based on their specialized expertise (energy, waste reduction, productivity, etc.) without regard to how those recommendations may impact other, sometimes less obvious, subsystems or processes within the facility. The audits are typically performed in isolation from the plant upper management and commonly without adequate knowledge of how inherent interrelated operational constraints may directly or indirectly influence the success of audit recommendations. The Total Assessment Audit (TAA) concept originated from the belief that a manufacturing facility is better served using a holistic approach to problem solving rather than the more conventional isolated approach. The total assessment audit methodology partners the upper management team of a company with a multi-disciplined team of industry-specific specialists to collectively ascertain the core opportunities for improvement in the company and then to formulate a company oriented continuous improvement plan. Productivity, waste reduction, and energy efficiency objectives are seamlessly integrated into a single service delivery with the TAA approach. Nontraditional audit objectives that influence profitability and competitiveness such as business management practices, employee training, human resource issues, etc. are also subject to evaluation in a TAA. The underlying premise of this approach is that the objectives are interrelated and that simultaneous evaluation will province synergistic results. Ultimately, it is believed that the TAA approach can motivate a manufacturer to implement improvements it might not otherwise pursue if it were focused only on singular objectives.

Haman, W.G.

1999-07-01T23:59:59.000Z

206

On Approaching the Ultimate Limits of Photon-Efficient and Bandwidth-Efficient Optical Communication  

E-Print Network (OSTI)

It is well known that ideal free-space optical communication at the quantum limit can have unbounded photon information efficiency (PIE), measured in bits per photon. High PIE comes at a price of low dimensional information efficiency (DIE), measured in bits per spatio-temporal-polarization mode. If only temporal modes are used, then DIE translates directly to bandwidth efficiency. In this paper, the DIE vs. PIE tradeoffs for known modulations and receiver structures are compared to the ultimate quantum limit, and analytic approximations are found in the limit of high PIE. This analysis shows that known structures fall short of the maximum attainable DIE by a factor that increases linearly with PIE for high PIE. The capacity of the Dolinar receiver is derived for binary coherent-state modulations and computed for the case of on-off keying (OOK). The DIE vs. PIE tradeoff for this case is improved only slightly compared to OOK with photon counting. An adaptive rule is derived for an additive local oscillator that maximizes the mutual information between a receiver and a transmitter that selects from a set of coherent states. For binary phase-shift keying (BPSK), this is shown to be equivalent to the operation of the Dolinar receiver. The Dolinar receiver is extended to make adaptive measurements on a coded sequence of coherent state symbols. Information from previous measurements is used to adjust the a priori probabilities of the next symbols. The adaptive Dolinar receiver does not improve the DIE vs. PIE tradeoff compared to independent transmission and Dolinar reception of each symbol.

Sam Dolinar; Kevin M. Birnbaum; Baris I. Erkmen; Bruce Moision

2011-04-13T23:59:59.000Z

207

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

208

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

209

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.

210

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

211

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

212

Segmenting bank customers by resistance to mobile banking  

Science Journals Connector (OSTI)

The objective of the study is to explore bank customers' varying reasons for resisting mobile banking services. Before being adopted, all innovations face various types of resistance that may paralyse customers' desire to adopt an innovation. Following Ram and Sheth (1989), resistance was measured with five barriers, namely, usage barrier, value barrier, risk barrier, tradition barrier and image barrier. An internet questionnaire was developed and 1,540 responses from the non-users of mobile banking were collected. The results of the cluster analysis showed that different bank customers do indeed have different reasons for resisting mobile banking. The study provides academics and bank managers with an enhanced understanding of the different reasons inhibiting mobile banking adoption and the consumer demographics that determine such resistance.

Tommi Laukkanen; Suvi Sinkkonen; Pekka Laukkanen; Marke Kivijarvi

2008-01-01T23:59:59.000Z

213

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

214

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

215

Study of behavior and determination of customer lifetime value(CLV) using Markov chain model  

SciTech Connect

Customer Lifetime Value or CLV is a restriction on interactive marketing to help a company in arranging financial for the marketing of new customer acquisition and customer retention. Additionally CLV can be able to segment customers for financial arrangements. Stochastic models for the fairly new CLV used a Markov chain. In this model customer retention probability and new customer acquisition probability play an important role. This model is originally introduced by Pfeifer and Carraway in 2000 [1]. They introduced several CLV models, one of them only involves customer and former customer. In this paper we expand the model by adding the assumption of the transition from former customer to customer. In the proposed model, the CLV value is higher than the CLV value obtained by Pfeifer and Caraway model. But our model still requires a longer convergence time.

Permana, Dony, E-mail: donypermana@students.itb.ac.id [Statistics Research Division, Faculty of Mathematics and Natural Science, Bandung Institute of Technology, Indonesia and Statistics Study Program, Faculty of Mathematics and Natural Sciences, Padang State University (Indonesia); Indratno, Sapto Wahyu; Pasaribu, Udjianna S. [Statistics Research Division, Faculty of Mathematics and Natural Science, Bandung Institute of Technology (Indonesia)

2014-03-24T23:59:59.000Z

216

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

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

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

217

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

218

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

Gasoline and Diesel Fuel Update (EIA)

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

219

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

220

Customized Kernel Execution on Reconfigurable Hardware for Embedded Applications  

E-Print Network (OSTI)

1 Customized Kernel Execution on Reconfigurable Hardware for Embedded Applications Muhammad Z and power as well as to harness high performance in embedded systems, high utilization of the hardware in all aspects of everyday life. They normally consume small power and occupy few resources. Numerous

Ziavras, Sotirios G.

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

Classifying Web Search Queries to Identify High Revenue Generating Customers  

E-Print Network (OSTI)

searching, the set of terms for which a user searches is called the query. If a user enters a query and then clicks on a result, these query terms are embedded within the URL that is passed from the search engineClassifying Web Search Queries to Identify High Revenue Generating Customers Adan Ortiz-Cordova 329

Jansen, James

222

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

223

A Framework for Context-Aware Services Using Service Customizer  

E-Print Network (OSTI)

. INTRODUCTION Service-Oriented Architecture (SOA) [1] is a high-level and technology-independent concept, the proposed approach improves the privacy and security features of web services. Keywords: Service-Oriented Architecture (SOA); Context- Aware Services; Software Agent; Knowledge Management; Service Customizer. I

Sartipi, Kamran

224

Midas: fabricating custom capacitive touch sensors to prototype interactive objects  

Science Journals Connector (OSTI)

An increasing number of consumer products include user interfaces that rely on touch input. While digital fabrication techniques such as 3D printing make it easier to prototype the shape of custom devices, adding interactivity to such prototypes remains ... Keywords: capacitive touch sensing, design tools, fabrication, prototyping

Valkyrie Savage; Xiaohan Zhang; Björn Hartmann

2012-10-01T23:59:59.000Z

225

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

Science Journals Connector (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

226

How Sensitive is Processor Customization to the Workload's Input Datasets?  

E-Print Network (OSTI)

How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

Eeckhout, Lieven

227

Challenges of information reuse in customer-oriented engineering networks  

Science Journals Connector (OSTI)

Abstract Project-based engineering companies are striving for innovation acceleration, and lean supply and product processes throughout the product lifecycle. The business orientation of engineer-to-order companies is customer-centric due to the nature of engineer-to-order products, which are tailored and customized according to the specific requirements of each customer. However, this customer orientation may lead to inefficient performance, due to a lack of mechanisms to reuse proven concepts, designs and production facilities, as well as an absence of feedback mechanisms from products in use and service. These challenges have been recognized in earlier empirical research projects conducted in companies providing engineer-to-order products. Based on an exploratory study of the existing literature, this paper aims to identify factors hindering product-related information reuse in an engineering business environment that comprises several networks of actors during the lifecycle of engineer-to-order products. The main challenges of information reuse in an engineer-to-order context are related to reuse situations, which require combining existing information with experience-based knowledge. A typology of factors and challenges of information reuse is built, and organizational development needs at different organizational levels as well as further research needs are identified.

Anneli Silventoinen; Andrea Denger; Hannele Lampela; Jorma Papinniemi

2014-01-01T23:59:59.000Z

228

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL)  

E-Print Network (OSTI)

sealing ­ The installer is to insure leakage of the HVAC system is less than 6% for new air conditioning(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL) 2008 Building Energy Efficiency Standards have a minimum 78% AFUE (Exception: Wall & floor furnaces; room heaters). 2. Central air conditioners

229

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL)  

E-Print Network (OSTI)

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL) 2008 Building Energy Efficiency Standards). 2. Central air conditioners & heat pumps less than 65,000 Btu/hr must have a minimum 13 SEER. 3 system must be sealed. · Only UL 181, UL 181A, or UL 181B approved tapes or mastic shall be used to seal

230

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL  

E-Print Network (OSTI)

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL 2008 Building Energy Efficiency Standards have a minimum 78% AFUE (Exception: Wall & floor furnaces; room heaters). 2. Central air conditioners of Section 150(m): · All joints and openings in the HVAC system must be sealed. · Only UL 181, UL 181A, or UL

231

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL)  

E-Print Network (OSTI)

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL) 2008 Building Energy Efficiency Standards have a minimum 78% AFUE (Exception: Wall & floor furnaces; room heaters). 2. Central air conditioners the mandatory requirements of Section 150(m): · All joints and openings in the in the HVAC system must be sealed

232

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL)  

E-Print Network (OSTI)

(ENFORCEMENT AGENCY CAN CUSTOMIZE WITH LETTERHEAD/SEAL) 2008 Building Energy Efficiency Standards have a minimum 78% AFUE (Exception: Wall & floor furnaces; room heaters). 2. Central air conditioners of Section 150(m): · All joints and openings in the HVAC system must be sealed. · Only UL 181, UL 181A, or UL

233

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

234

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

235

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

236

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

237

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

238

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

Science Journals Connector (OSTI)

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

2000-01-02T23:59:59.000Z

239

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

240

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

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

Looking beyond technology: a study of e-banking channel acceptance by Indian customers  

Science Journals Connector (OSTI)

It is almost 15 years since the Indian banking sector was liberalised and paradigm shift happened in the Indian banking services. All banks have either totally implemented 'Core banking Systems' or halfway through. A survey result was obtained from 292 respondents about their views on electronic banking channels. The results indicate that the majority of the customers are very comfortable and willing to use e-banking channels. At the same time, over 80% feel that 'human contact is necessary'. This throws up a challenge to banks. Technology alone cannot give a sustainable competitive advantage for the banks. When all banks introduce IT in their technology, IT will lose its position as a differentiator. Beyond a point, IT along with 'personal touch' will be necessary for the banks to retain the existing clients and attract new clients. Banks have to incorporate this in their IT and operational strategy.

N. Kamakodi; Basheer Ahmed Khan

2008-01-01T23:59:59.000Z

242

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

243

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

244

Inter-Organizational Information and Communication Technology (IICT) in the Customer Interface  

E-Print Network (OSTI)

Inter-Organizational Information and Communication Technology (IICT) in the Customer Interface dimensions of customer interface IICT adoption: 1) impact on internal business process efficiency, 2) impact When Inter-organizational Information and Communication Technology (IICT) implementation is properly

Wu, Qinglin

245

Keep Customers-and Energy-From Slipping Through the Cracks |...  

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

project. Instead of accepting these customers as losses, GCEA had its full-time energy advisor make phone calls to each of these customers to learn why they weren't completing...

246

Dimensions of service quality of the University of Arizona Sponsored Projects Services Office internal customers  

E-Print Network (OSTI)

When a service transaction occurs between a service provider and a customer there are dimensions of that transaction that are essential to making the customer feel satisfied with the transaction. Zeithaml, Parasuraman and Berry measured those...

Baca, David Ray

2007-04-25T23:59:59.000Z

247

DOE Zero Energy Ready Home Case Study, BPC Green Builders, Custom...  

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

Study, BPC Green Builders, Custom Home, New Fairfield, CT DOE Zero Energy Ready Home Case Study, BPC Green Builders, Custom Home, New Fairfield, CT Case study of a DOE Zero Energy...

248

Identifying system-wide contact center cost reduction opportunities through lean, customer-focused IT metrics  

E-Print Network (OSTI)

Dell's long-term success depends on its customers' future buying patterns. These patterns are largely determined by customers' satisfaction with the after-sales service they receive. Previously, Dell has been able to deliver ...

Sen, Avijit

2009-01-01T23:59:59.000Z

249

E-Print Network 3.0 - african customs union Sample Search Results  

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

< 1 2 3 4 5 > >> 1 Volume 2, Number 1 41 World Customs Journal Summary: and Southern Africa (COMESA), the East African Community Customs Union (EACCU), the Southern Africa...

250

Does Dissipation in AGN Disks Couple to the Total Pressure?  

E-Print Network (OSTI)

Recent work on the transport of angular momentum in accretion disks suggests that the Velikhov-Chandrasekhar instability, in which a large scale magnetic field generates small scale eddys in a shearing environment, may be ultimately responsible for this process. Although there is considerable controversy about the origin and maintenance of this field in accretion disks, it turns out that it is possible to argue, quite generally, using scaling arguments, that this process is sensitive to the total pressure in an AGN disk, rather than the pressure contributed by gas alone. We conclude that the resolution of the conceptual difficulties implied by the presence of strong thermal and viscous instabilities in radiation pressure and electron scattering dominated does not lie in models that couple the total dissipation rate to the gas pressure alone, or to some weighted mean of the gas and radiation pressures.

E. T. Vishniac

1993-08-12T23:59:59.000Z

251

Application of fault tree analysis for customer reliability assessment of a distribution power system  

Science Journals Connector (OSTI)

A new method is developed for predicting customer reliability of a distribution power system using the fault tree approach with customer weighted values of component failure frequencies and downtimes. Conventional customer reliability prediction of the electric grid employs the system average (SA) component failure frequency and downtime that are weighted by only the quantity of the components in the system. These SA parameters are then used to calculate the reliability and availability of components in the system, and eventually to find the effect on customer reliability. Although this approach is intuitive, information is lost regarding customer disturbance experiences when customer information is not utilized in the SA parameter calculations, contributing to inaccuracies when predicting customer reliability indices in our study. Hence our new approach directly incorporates customer disturbance information in component failure frequency and downtime calculations by weighting these parameters with information of customer interruptions. This customer weighted (CW) approach significantly improves the prediction of customer reliability indices when applied to our reliability model with fault tree and two-state Markov chain formulations. Our method has been successfully applied to an actual distribution power system that serves over 2.1 million customers. Our results show an improved benchmarking performance on the system average interruption frequency index (SAIFI) by 26% between the SA-based and CW-based reliability calculations.

Fariz Abdul Rahman; Athi Varuttamaseni; Michael Kintner-Meyer; John C. Lee

2013-01-01T23:59:59.000Z

252

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

253

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network (OSTI)

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

Autonoma de Madrid, Universidad

254

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

Science Journals Connector (OSTI)

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

2000-01-02T23:59:59.000Z

255

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

256

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

257

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

258

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

259

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

260

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

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

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

262

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

263

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

264

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

265

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

266

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

267

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

268

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

269

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

270

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

271

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

272

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

273

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

274

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

275

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

276

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

277

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

278

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

279

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

280

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)

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

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

282

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

283

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

284

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

285

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

286

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

287

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

Gasoline and Diesel Fuel Update (EIA)

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

288

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

Gasoline and Diesel Fuel Update (EIA)

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

289

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

Annual Energy Outlook 2012 (EIA)

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

290

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

Gasoline and Diesel Fuel Update (EIA)

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

291

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

Gasoline and Diesel Fuel Update (EIA)

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

292

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

Gasoline and Diesel Fuel Update (EIA)

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

293

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

Annual Energy Outlook 2012 (EIA)

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

294

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

Annual Energy Outlook 2012 (EIA)

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

295

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

Gasoline and Diesel Fuel Update (EIA)

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

296

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

Gasoline and Diesel Fuel Update (EIA)

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

297

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

Gasoline and Diesel Fuel Update (EIA)

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

298

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

Annual Energy Outlook 2012 (EIA)

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

299

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

Gasoline and Diesel Fuel Update (EIA)

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

300

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

Gasoline and Diesel Fuel Update (EIA)

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

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

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

Gasoline and Diesel Fuel Update (EIA)

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

302

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...

303

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...

304

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

305

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

306

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

307

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

308

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

309

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

310

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

311

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

312

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

313

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

314

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

315

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

316

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

317

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

318

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

319

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

320

Radionuclides identified at a US Customs Service site  

SciTech Connect

The movement of radionuclides through the U.S. Customs Service port of entry at Blaine, Washington, has been studied using a high-resolution gamma-ray spectrometer and an automated data logging system. Data covering about 10 weeks of operation were obtained and analyzed. The data-acquisition system and the site of the measurement are described. Results are reported and interpreted in light of the known traffic of radioisotopes produced at the Canadian TRIUMF facility and imported into the United States for use in radiopharmaceuticals.

Johnson, M.W.; Bounds, J.A.; Steadman, P.A. [and others

1997-05-01T23:59:59.000Z

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

Measuring mobile banking customers' channel attribute preferences in service consumption  

Science Journals Connector (OSTI)

The purpose of the paper was to measure mobile banking customers' channel attribute preferences in two different banking services, namely request for account balance service and bill paying. An Internet survey was implemented and conjoint analysis was used. In addition, the respondents were clustered into homogenous segments on the basis of their channel attribute preferences. The findings indicate slight differences between the services in respondents' channel attribute preferences while individual respondents' preferences vary widely. The results provide important information for service providers' marketing campaigns and communication activities and device manufacturers' aims to develop different kinds of devices for different market segments.

Tommi Laukkanen

2007-01-01T23:59:59.000Z

322

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

323

A relaxed customized proximal point algorithm for separable convex ...  

E-Print Network (OSTI)

Aug 22, 2011 ... where ? ? Rm is an additive noise corrupting the original image and ..... S. Osher and E. Fatemi, Nonlinear total variation based noise removal.

2011-08-22T23:59:59.000Z

324

Western-UGP Transmission and Ancillary Services Rates Customer...  

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

80 Percentage of transmission plant included in UMZ Rates (line 79 line 76) TP 1.00000 TRANSMISSION EXPENSES 81 Total transmission expenses (sum lines 41 to 43,...

325

Total Sky Imager (TSI) Handbook  

SciTech Connect

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

Morris, VR

2005-06-01T23:59:59.000Z

326

MEASURING THE ULTIMATE HALO MASS OF GALAXY CLUSTERS: REDSHIFTS AND MASS PROFILES FROM THE HECTOSPEC CLUSTER SURVEY (HeCS)  

SciTech Connect

The infall regions of galaxy clusters represent the largest gravitationally bound structures in a {Lambda}CDM universe. Measuring cluster mass profiles into the infall regions provides an estimate of the ultimate mass of these halos. We use the caustic technique to measure cluster mass profiles from galaxy redshifts obtained with the Hectospec Cluster Survey (HeCS), an extensive spectroscopic survey of galaxy clusters with MMT/Hectospec. We survey 58 clusters selected by X-ray flux at 0.1 < z < 0.3. The survey includes 22,680 unique MMT/Hectospec redshifts for individual galaxies; 10,145 of these galaxies are cluster members. For each cluster, we acquired high signal-to-noise spectra for {approx}200 cluster members and a comparable number of foreground/background galaxies. The cluster members trace out infall patterns around the clusters. The members define a very narrow red sequence. We demonstrate that the determination of velocity dispersion is insensitive to the inclusion of bluer members (a small fraction of the cluster population). We apply the caustic technique to define membership and estimate the mass profiles to large radii. The ultimate halo mass of clusters (the mass that remains bound in the far future of a {Lambda}CDM universe) is on average (1.99 {+-} 0.11)M{sub 200}, a new observational cosmological test in essential agreement with simulations. Summed profiles binned in M{sub 200} and in L{sub X} demonstrate that the predicted Navarro-Frenk-White form of the density profile is a remarkably good representation of the data in agreement with weak lensing results extending to large radius. The concentration of these summed profiles is also consistent with theoretical predictions.

Rines, Kenneth [Department of Physics and Astronomy, Western Washington University, Bellingham, WA 98225 (United States)] [Department of Physics and Astronomy, Western Washington University, Bellingham, WA 98225 (United States); Geller, Margaret J.; Kurtz, Michael J. [Smithsonian Astrophysical Observatory, 60 Garden Street, MS 20, Cambridge, MA 02138 (United States)] [Smithsonian Astrophysical Observatory, 60 Garden Street, MS 20, Cambridge, MA 02138 (United States); Diaferio, Antonaldo, E-mail: kenneth.rines@wwu.edu, E-mail: diaferio@ph.unito.it [Dipartimento di Fisica, Universita di Torino, Torino (Italy)] [Dipartimento di Fisica, Universita di Torino, Torino (Italy)

2013-04-10T23:59:59.000Z

327

Homogeneous Catalysis: Ultimate Selectivity  

Science Journals Connector (OSTI)

...explanation is that the economics are not good right now...aban-doned because of economics. Monsanto thinks the...significant by-product is methane, which may represent...syngas. Syngas made by steam reforming of natural gas con-tains...

THOMAS H. MAUGH II

1983-06-03T23:59:59.000Z

328

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

329

The Ultimate, Exclusive LAN  

Science Journals Connector (OSTI)

...influences and an enthusiasm for technology. This skittishness is embodied...importing and disseminating technology. Spearheading the effort...Information Agency for Science and Technology (CIAST). By the mid-1990s...home page for the countrywide intranet (one your browser will never find...

Richard Stone

2004-09-17T23:59:59.000Z

330

Reliability modeling of demand response considering uncertainty of customer behavior  

Science Journals Connector (OSTI)

Abstract Demand response (DR) has been considered as a generation alternative to improve the reliability indices of the system and load point. However, when the demand resources scheduled in the DR market fail to result in demand reductions, it can potentially bring new problems associated with maintaining a reliable supply. In this paper, a reliability model of the demand resource is constructed considering customers’ behaviors in the same form as conventional generation units, where the availability and unavailability are associated with the simple two-state model. The reliability model is generalized by a multi-state model. In the integrated power market with DR, market players provide the demand reduction and generation, which are represented by an equivalent multi-state demand response and generation, respectively. The reliability indices of the system and load point are evaluated using the optimal power flow by minimizing the summation of load curtailments with various constraints.

Hyung-Geun Kwag; Jin-O Kim

2014-01-01T23:59:59.000Z

331

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":""}]}

332

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

333

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

334

Customer delight and mood states: an empirical analysis in Indian retail context  

Science Journals Connector (OSTI)

The customer satisfaction has already been researched at length and is being used by the retailers to achieve competitive edge. Since everyone in the market is trying to satisfy its customers, merely satisfying does not seem enough and moving beyond customer satisfaction to customer delight is required (Schlossberg, 1990). The present research initiated with, establishing of factors responsible for customer-delight in retail settings, as identified by Arnold et al. (2005), in the Indian retail context. Further, an attempt was made to investigate the association between shoppers' mood states induced by retail settings at the point of purchase, and customer delight arising thereof. The results of regression analysis clearly indicated a strong relationship between the two. Lastly, future directions for research are mentioned.

Pankaj Chamola; Prakash Tiwari

2014-01-01T23:59:59.000Z

335

Online Community Experience (OCE) and its impact on customer attitudes: an exploratory study  

Science Journals Connector (OSTI)

Many companies have realised the critical importance of online product communities as a tool to facilitate interactions amongst their customers and to strengthen customer-product ties. This study proposes a new construct, Online Community Experience (OCE), to enhance our understanding of customers' online interactions in such communities and its impact on customers' product-related perceptions and attitudes. We draw on diverse theoretical areas including computer-mediated communication, information processing, and brand communities to identify the critical antecedents of OCE. The model was validated using data collected from a sample of 108 subjects through a set of two questionnaires. The study findings offer strong support for the model and indicate the importance of OCE as a critical mediating variable in understanding the impact of online community participation on customer attitudes and perceptions. The key implications for future research and managerial practice in the areas of online communities, marketing communication, and customer relationship management are discussed.

Priya Nambisan; James Watt

2008-01-01T23:59:59.000Z

336

Customer-perceived value of e-financial services: a means-end approach  

Science Journals Connector (OSTI)

The financial services sector has recently undergone changes unprecedented in its history. Understanding customers' needs and values has become more important for financial institutions than ever before, not only due to the changing environment but also because of changed customer behaviour. This study explores the customer-perceived value of two e-financial services, namely electronic fund transfer service and internet brokerage service. This is done by using a means-end approach. It is a qualitative in-depth interviewing method that is used for explaining how product or service attributes facilitate consumers' achievement of desired end-states of being. The results indicate how different electronic services create value for customers in service consumption. The findings provide banking executives with a better understanding of what kind of value customers perceive in the consumption of different e-financial services. The results indicate similarities and differences in the customer-perceived value between the services explored.

Tommi Laukkanen

2006-01-01T23:59:59.000Z

337

The Program Administrator Cost of Saved Energy for Utility Customer-Funded Energy Efficiency Programs  

SciTech Connect

End-use energy efficiency is increasingly being relied upon as a resource for meeting electricity and natural gas utility system needs within the United States. There is a direct connection between the maturation of energy efficiency as a resource and the need for consistent, high-quality data and reporting of efficiency program costs and impacts. To support this effort, LBNL initiated the Cost of Saved Energy Project (CSE Project) and created a Demand-Side Management (DSM) Program Impacts Database to provide a resource for policy makers, regulators, and the efficiency industry as a whole. This study is the first technical report of the LBNL CSE Project and provides an overview of the project scope, approach, and initial findings, including: • Providing a proof of concept that the program-level cost and savings data can be collected, organized, and analyzed in a systematic fashion; • Presenting initial program, sector, and portfolio level results for the program administrator CSE for a recent time period (2009-2011); and • Encouraging state and regional entities to establish common reporting definitions and formats that would make the collection and comparison of CSE data more reliable. The LBNL DSM Program Impacts Database includes the program results reported to state regulators by more than 100 program administrators in 31 states, primarily for the years 2009–2011. In total, we have compiled cost and energy savings data on more than 1,700 programs over one or more program-years for a total of more than 4,000 program-years’ worth of data, providing a rich dataset for analyses. We use the information to report costs-per-unit of electricity and natural gas savings for utility customer-funded, end-use energy efficiency programs. The program administrator CSE values are presented at national, state, and regional levels by market sector (e.g., commercial, industrial, residential) and by program type (e.g., residential whole home programs, commercial new construction, commercial/industrial custom rebate programs). In this report, the focus is on gross energy savings and the costs borne by the program administrator—including administration, payments to implementation contractors, marketing, incentives to program participants (end users) and both midstream and upstream trade allies, and evaluation costs. We collected data on net savings and costs incurred by program participants. However, there were insufficient data on participant cost contributions, and uncertainty and variability in the ways in which net savings were reported and defined across states (and program administrators).

Billingsley, Megan A.; Hoffman, Ian M.; Stuart, Elizabeth; Schiller, Steven R.; Goldman, Charles A.; LaCommare, Kristina

2014-03-19T23:59:59.000Z

338

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

E-Print Network (OSTI)

Rational Customers and Retail Competition George Georgiadischarge a higher optimal retail price under the no depositboth rms charge the same retail price, we show the existence

Georgiadis, G.; Tang, C. S.

2010-01-01T23:59:59.000Z

339

Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network (OSTI)

Implementing Real- Time Retail Electricity Pricing,” CenterMarkets With Time-Invariant Retail Prices,” RAND Journal of155 Customer Risk from Real-Time Retail Electricity Pricing:

Borenstein, Severin

2007-01-01T23:59:59.000Z

340

The Program Administrator Cost of Saved Energy for Utility Customer-Funded Energy Efficiency Programs  

E-Print Network (OSTI)

savings for 2009-2011 residential consumer product rebateCSE for residential consumer product rebate detailed programcommercial/industrial custom rebate programs). In this

Billingsley, Megan A.

2014-01-01T23:59:59.000Z

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.


341

A method for designing customer-oriented demand response aggregation service  

Science Journals Connector (OSTI)

Abstract Demand response (DR), which controls electric usage of customers when electric system reliability is jeopardised, attracts much societal attention. To realise a pragmatic DR, aggregators have to make well-customised requests for power saving to keep each customer comfortable in energy use. An engineering method is proposed here to design a DR aggregation service from the viewpoint of various customers’ comfort. The idea is to use an optimum resource allocation method that can provide quantitative information on how much electric power should be saved by each customer. The application validated the effectiveness of the proposed method.

Yoshiki Shimomura; Yutaro Nemoto; Fumiya Akasaka; Ryosuke Chiba; Koji Kimita

2014-01-01T23:59:59.000Z

342

C3Bio.org - Knowledge Base: Tips: Customize your "My HUB" page  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Knowledge Base Tips Customize your "My HUB" page Knowledge Base Main page Categories...

343

List of DOE radioisotope customers with summary of radioisotope shipments, FY 1987  

SciTech Connect

This edition of the radioisotope customer list was prepared at the request of the Office of Health and Environmental Research (ER-73), Office of Energy Research, US Department of Energy (DOE). This document describes radioisotope distribution from DOE facilities to private firms, including foreign and other DOE facilities. The information is divided into five sections: 1) isotope suppliers, facility contact, and isotopes or services supplied; 2) customers, suppliers, and isotopes purchased; 3) isotopes purchased cross- referenced with customer numbers; 4) geographic locations of radioisotope customers; and 5) radioisotope sales and transfers for fiscal year 1987.

Lamar, D.A.; Van Houten, N.C.

1988-08-01T23:59:59.000Z

344

Microsoft Word - DOE-ID-14-085 Visual Aids for a Customer B3...  

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

A. Project Title: Visual Aids for a Customer SECTION B. Project Description The manufacturer will construct two mockup reactor assemblies out of stainless steel to be used for...

345

The Program Administrator Cost of Saved Energy for Utility Customer-Funded Energy Efficiency Programs  

E-Print Network (OSTI)

of Electricity Energy Efficiency Programs. ” The Energyof Utility Customer-Funded Energy Efficiency Programs in the5803E. Consortium for Energy Efficiency (CEE). 2013. 2012

Billingsley, Megan A.

2014-01-01T23:59:59.000Z

346

Repair duration effects on distribution system reliability indices and customer outage costs.  

E-Print Network (OSTI)

??The distribution system is part of the electric power system that links the bulk transmission system and the individual customers. Approximately 80 percent of outages… (more)

Shakya, Binendra

2013-01-01T23:59:59.000Z

347

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

SciTech Connect

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

348

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

349

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

350

What customers think of retail access: Results of the Massachusetts Electric Company's pilot  

SciTech Connect

This paper summarizes findings from the evaluation of Massachusetts Electric Company's Residential and Small Commercial Retail Access Pilot Program which was in effect in 1997. Customers in 4 cities within Massachusetts were offered the opportunity to enroll in the Pilot. Participants in the Pilot selected a supplier from a set of options, including low-price generation, green and other options. Most participants in the Pilot are satisfied and most participants and nonparticipants feel choice is important. However, the evaluation identified several significant differences between residential and commercial customers. Commercial customers have a higher level of awareness of retail access and a marked preference for lowest priced supply options. By contrast, price matters less to residential customers. Residential customers who opted not to participate in the pilot have higher level of concern about retail access than the participants, suggesting that for residential customers, experience with the Pilot has been educational. Despite ambitious outreach efforts and educational campaigns, there is a large learning curve which many residential customers have yet to climb. These and other lessons learned about marketing and educating customers on retail access are discussed.

Titus, E.; Fox, E.

1998-07-01T23:59:59.000Z

351

Case study: Customer Relationship Management (CRM) systems, intermediation and disintermediation: The case of INSG  

Science Journals Connector (OSTI)

Whilst our knowledge of Customer Relationship Management (CRM) systems continues to evolve, there is still much to learn. This paper offers some relatively rare insights on the use of CRM systems and the strategic impact on the processes of intermediation ... Keywords: Customer Relationship Management (CRM), Disintermediation and case study research, Intermediation

Christopher Bull

2010-02-01T23:59:59.000Z

352

Keep Customers—and Energy—From Slipping Through the Cracks  

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

The most successful energy efficiency upgrade programs have customers who are willing and able to implement energy efficiency upgrades. This may seem like an obvious statement; however, many upgrade programs are struggling to reach their upgrade goals because they allow initially excited customers to slip through the cracks by not guiding them through the entire upgrade process.

353

LASP Micro Bus--an integral aspect of mission customization Payload Accommodation  

E-Print Network (OSTI)

LMB LASP Micro Bus--an integral aspect of mission customization Payload Accommodation Build time accommodation on-orbit. The LASP Micro Bus (LMB) is an integral aspect of our mission customization capability, volume allocated to payload = 30+ MB/orbit ADCS: 3-axis stabilized; accuracy = 10 arc*sec, knowledge = 2

Mojzsis, Stephen J.

354

Web strategies to promote internet shopping: is cultural-customization needed?  

Science Journals Connector (OSTI)

Building consumer trust is important for new or unknown Internet businesses seeking to extend their customer reach globally. This study explores the question: Should website designers take into account the cultural characteristics of prospective customers ... Keywords: cross-cultural study, internet shopping, trust, web strategies

Choon Ling Sia; Kai H. Lim; Kwok Leung; Matthew K. O. Lee; Wayne Wei Huang; Izak Benbasat

2009-09-01T23:59:59.000Z

355

Engineering Service Products: The Case of Mass-Customizing Service Agreements for Heavy Equipment  

E-Print Network (OSTI)

Engineering Service Products: The Case of Mass- Customizing Service Agreements for Heavy Equipment develop a reference model of service agreement engineering to help mass-customize and evaluate service. The Problem of Engineering Service Products for Manufacturers Manufacturers of heavy industry are increasingly

Hsu, Cheng

356

Customization and 3D printing: a challenging playground for software product lines  

Science Journals Connector (OSTI)

3D printing is gaining more and more momentum to build customized product in a wide variety of fields. We conduct an exploratory study of Thingiverse, the most popular Website for sharing user-created 3D design files, in order to establish a possible ... Keywords: 3D printing, customization, software product lines

Mathieu Acher, Benoit Baudry, Olivier Barais, Jean-Marc Jézéquel

2014-09-01T23:59:59.000Z

357

Customer Communications Management in the New Digital Era Center for Marketing Studies  

E-Print Network (OSTI)

Customer Communications Management in the New Digital Era Center for Marketing Studies Darla Moore communications to create customer and brand value. While marketers now have more means than ever to reach, engage is essential for success. In this discussion paper we explore the new digital era of marketing communications

Almor, Amit

358

An example of trust-based marketing and customer advocacy in e-commerce  

E-Print Network (OSTI)

Professor Glen L. Urban at MIT Sloan advocates a new style of marketing based on trust-building. One way to build this trust is to use an advisor to have a conversation with the customer rather than talking at the customer. ...

Zhang, Min, M. Eng. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

359

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

360

UNIVERSITY OF CALIFORNIA, OFFICE OF THE PRESIDENT Customer Service Representative II  

E-Print Network (OSTI)

: The University Benefit Programs Customer Service Unit is responsible for providing counseling, financial Open Enrollment function on a systemwide basis. Under the general direction of a Customer Service Unit and statistical studies using a variety of formats #12;for easy interpretation and use. Strong verbal

Nguyen, Danh

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.


361

Customization and 3D Printing: A Challenging Playground for Software Product Lines  

E-Print Network (OSTI)

Customization and 3D Printing: A Challenging Playground for Software Product Lines Mathieu Acher firstname.lastname@irisa.fr ABSTRACT 3D printing is gaining more and more momentum to build customized. We provide hints that SPL-alike techniques are practically used in 3D printing and thus relevant

Boyer, Edmond

362

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

363

Customization of technology roadmaps according to roadmapping purposes: Overall process and detailed modules  

Science Journals Connector (OSTI)

Recently, technology roadmap has received increasing interest from academics and practitioners alike, as it is a powerful and inherently flexible approach in terms of architectural structure and construction process. However, the potential benefit may not be fully exploited due to the difficulty in customizing roadmaps to fit specific needs and/or to accommodate unusual circumstances. In response, the main purpose of this research is to provide guidance for customizing roadmaps. Specifically, we adopt a modularization method for mass customization and suggest a set of different roadmaps for different purposes such as forecasting, planning, and administration. In addition, a web-based system is developed to facilitate the roadmapping activities, which in turn ensures the creation, dissemination, and upkeep of roadmaps. With the system having a customization function, a set of customized roadmaps can be generated simply by selecting the application purpose and then meeting the input requirements. The function helps prospective users design roadmap formats and contents.

Sungjoo Lee; Yongtae Park

2005-01-01T23:59:59.000Z

364

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:

365

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"

366

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

367

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

368

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

369

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

SciTech Connect

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

370

Record of Decision for the Bonneville Power Administration's Service to Direct Service Industrial Customers for Fiscal Years 2007-2011  

SciTech Connect

Beginning in July 2004, the Bonneville Power Administration (BPA) initiated the Regional Dialogue process as part of its effort, in cooperation with its customers and constituents, to identify and decide issues regarding BPA's power supply role for FY 2007-2011. BPA service to Direct Service Industries (DSIs) has been steadily declining since the pre-1995 period when contracts totaled over 3,000 aMW, to 1995 when contracts were reduced to 2,000 average megawatts (aMW), to 2002 when contracts were reduced to 1,500 aMW (with much less actually delivered in the 2002-2006 period). Over the same period, BPA service to public utilities has grown significantly. Among the issues presented by BPA was whether it should continue the steady ramp-down of service to its DSI customers when existing power supply contracts with those customers expire on Sept. 30, 2006, or whether to eliminate further service. BPA proposed providing up to 500 aMW of service (cumulative) to creditworthy DSIs, at a known and capped cost, where such service would enable continued operation of DSI facilities, thereby maintaining Pacific Northwest jobs. BPA indicated that, in order to eliminate the market and default risks to BPA associated with a traditional ''take-or-pay'' physical power sales contract, and to meet the known and capped cost prerequisite for DSI service, its preferred alternative was to provide service benefits to the DSIs financially, by cashing-out, or monetizing, the value of a power sales contract in lieu of physically delivering power. BPA indicated also that it believed it was unlikely that service to the DSIs under the Industrial Firm Power (IP) rate schedule would provide a rate low enough to support economic operation by DSI customers that use BPA power to smelt aluminum. The aluminum smelters would make up over 95% of BPA's DSI load under a 500 aMW scenario. The proposal to provide 500 aMW of service benefits to the DSIs represented a continuation in the ramping-down of BPA's role as a supplier of power service to the DSIs.

N /A

2005-06-30T23:59:59.000Z

371

An Indian customer surrounding 7P?s of service marketing  

Science Journals Connector (OSTI)

Abstract The primary aim of the study is to examine the effects of services marketing mix elements on Indian customer for making the appropriate marketing mix strategy in banking services context. The study is based on a sample of 351 customers of bank users in India who filled an online questionnaire. The paper uses confirmatory factor analysis and structural equation modeling (SEM) to analyse and confirm the conceptual model proposed in the research. The paper finds that physical evidence, process, place, and people have a positive and significant effect on customer. The study suggested an appropriate services marketing mix strategy for Indian customer perspective in the context of banking services. The paper would help the bankers to create marketing strategies and action plans to retain their existing customers and to attract new customers. The paper is first of its kind to discuss the effects of ‘7Ps’ of services marketing mix collectively on Indian customer. The results of the analysis indicated that managing the marketing mix dimensions of product, price and promotion is of less importance except place than managing interactive marketing dimensions such as people, physical evidence, and process.

Gyaneshwar Singh Kushwaha; Shiv Ratan Agrawal

2015-01-01T23:59:59.000Z

372

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

373

Solar total energy project Shenandoah  

SciTech Connect

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

None

1980-01-10T23:59:59.000Z

374

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

375

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

376

Interactions Between Energy Efficiecy Programs Funded Under Recover Act and Utility Customer-funded Energy Efficiency Programs  

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

Interactions Between Energy Efficiecy Programs Funded Under Recover Act and Utility Customer-funded Energy Efficiency Programs Webinar.

377

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:

378

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

379

Total Heart Transplant: A Modern Overview  

E-Print Network (OSTI)

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

Lingampalli, Nithya

2014-01-01T23:59:59.000Z

380

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

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

Dynamic or Tiered Rates? Utility or Customer-Controlled Event Automation?  

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

Dynamic or Tiered Rates? Utility or Customer-Controlled Event Automation? Dynamic or Tiered Rates? Utility or Customer-Controlled Event Automation? Speaker(s): Karen Herter Date: September 27, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page SMUD's 2011-2012 Residential Summer Solutions Study investigated the effects of real-time energy data and TOU-CPP rates in the presence of utility or customer controlled thermostat automation. Of the four rate and automation options offered, the TOU-CPP rate + customer-controlled automation provided the greatest savings, with 4% energy savings, daily weekday peak savings of more than 30%, and an average event peak load shed of nearly 60%. Effects of real-time information on these impacts were modest (1-7%), but in many cases statistically significant. On average,

382

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

383

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

384

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

385

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

E-Print Network (OSTI)

Severin. “Time-Varying Retail Electricity Prices: Theory andCustomer Risk from Real-Time Retail Electricity Pricing:Markets With Time-Invariant Retail Prices,” RAND Journal of

Borenstein, Severin

2007-01-01T23:59:59.000Z

386

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

E-Print Network (OSTI)

The consumption reductions paid rebates during CPP days area CPP rate with a rebate mechanism as the default rate forthese customers received a rebate of 35 cents/KWh for the

Wolak, Frank A.

2007-01-01T23:59:59.000Z

387

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

E-Print Network (OSTI)

of price response (price elasticity of demand, substitutionprice elasticities, for estimating the market potential of demand responsedemand response market potential that account for customer behavior and prices through the use of price elasticities (

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

2007-01-01T23:59:59.000Z

388

Order promising/fulfillment and customer/channel collaboration in supply chain management  

E-Print Network (OSTI)

This research investigates the order promising and fulfillment and customer and channel collaboration functions of a company. In addition to presenting more precise definitions, we identify and analyze current and emerging ...

An, Yimin, M. Eng. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

389

Mining customer credit by using neural network model with logistic regression approach  

E-Print Network (OSTI)

. The objective of this research was to investigate the methodologies to mine customer credit history for the bank industry. Particularly, combination of logistic regression model and neural network technique are proposed to determine if the predictive capability...

Kao, Ling-Jing

2001-01-01T23:59:59.000Z

390

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

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

Honeywell’s Smart Grid Investment Grant (SGIG) project demonstrates utility-scale performance of a hardware/software platform for automated demand response (ADR) for utility, commercial, and industrial customers. The case study is now available for downloading.

391

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

E-Print Network (OSTI)

metering than with a feed-in tariff where all PV generationnet metering, MPR- based feed-in tariff, hourly netting, and1) An MPR-based feed-in tariff, under which the customer is

Darghouth, Naim

2010-01-01T23:59:59.000Z

392

Transportation Research Board Conference January 10, 2005 Using Custom Transportation Data  

E-Print Network (OSTI)

Transportation Research Board Conference January 10, 2005 Using Custom Transportation Data Collection Software with Handheld Computers for Education, Research, and Practice Transportation Research, Andrew Byrd, Michael Rose, Tarek Abou El-Seoud #12;Transportation Research Board Conference January 10

Bertini, Robert L.

393

Improving customer order visibility to enable improved planning and decision making  

E-Print Network (OSTI)

The General Purpose Drives organization of ABB Switzerland does not capture sufficient data on the movement of customer orders through the production process to make efficient decisions on where to allocate improvement ...

Krause, Karla M. (Karla Margarete)

2011-01-01T23:59:59.000Z

394

Advertising in a Competitive Market: The Role of Product Standards, Customer Learning, and Switching Costs  

E-Print Network (OSTI)

Standard models of competition predict that firms will sell less when competitors target their customers with advertising. This is particularly true in mature markets with many competitors that sell relatively undifferentiated ...

Anderson, Eric T.

395

Design and testing of a sensorless switched reluctance motor drive with a custom integrated circuit controller  

E-Print Network (OSTI)

presents a breadboard level SRM drive that emirates a custom IC controller implementing closedloop speed control and starting torque.The rotor position sensing information is essential for determining the switching instants to have proper control of speed...

Zhang, Yingxia

2012-06-07T23:59:59.000Z

396

Critical Issues Facing Federal Customers and the Electric Industry: A Call to Partnering  

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

Presentation covers critical issues facing federal customers and the electric industry and is given at the FUPWG Fall Meeting, held on November 28-29, 2007 in San Diego, California.

397

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

398

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

399

Yield estimates and comparisons for full custom, standard cell, and gate array design methodologies  

E-Print Network (OSTI)

YIELD ESTIMATES AND COMPARISONS FOR FULL CUSTOM, STANDARD CELL, AND GATE ARRAY DESIGN METHODOLOGIES A Thesis by MARCELLA EVELYN NORTE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE December 1990 Major Subject: Electrical Engineering YIELD ESTIMATES AND COMPARISONS FOR FULL CUSTOM, STANDARD CELL, AND GATE ARRAY DESIGN METHODOLOGIES A Thesis by MARCELLA EVELYN NORTE Approved...

Norte, Marcella Evelyn

2012-06-07T23:59:59.000Z

400

Customer-perceived value of e-financial services: a means-end approach  

Science Journals Connector (OSTI)

The financial services sector has recently undergone changes unprecedented in its history. Understanding customers' needs and values has become more important for financial institutions than ever before, not only due to the changing environment but ... Keywords: ETF, consumers, customers, e-banking, e-finance, e-financial services, electronic banking, electronic finance, electronic fund transfer, internet brokerage, internet services, online banking, online brokerage, perceived value, value creation, web services

Tommi Laukkanen

2006-01-01T23:59:59.000Z

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.


401

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

402

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

403

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

404

A new concept for utility integrated resource planning: ``Start with the customer``  

SciTech Connect

The competitive restructuring of the electric power industry is intensifying pressures for electric utilities to control costs through improved utilization of existing assets and by minimizing capital investment in new generation, transmission, and distribution capacity. This article introduces a new planning approach that can provide more informed business decisions, resulting in higher asset utilization, lower overall costs, and enhanced customer service. Unlike traditional planning methods, which assumed captive customer load growth, this process starts at the customer, focusing on how the customer`s energy service needs can best be met. Experience garnered from utilities on four continents illustrates the potential of this new approach to reduce capital expenditure for energy resource additions, often at less than one-half the cost of conventional solutions. By reorienting how utilities think, plan, and are internally organized, this new approach can assist utilities in making the fundamental transition to a customer-driven industry. Additional benefits include accurate costing of energy resources and wheeling, reduced vulnerability to conflicts over facility siting, reduced risk in a time of rapid industry change. The process proposed here may not be the best IRP process for utilities in the future but could be of significant benefit during the restructuring period.

Arsali, N.; Neelakanta, P.S.

1998-04-01T23:59:59.000Z

405

Total Petroleum Systems and Assessment Units (AU)  

E-Print Network (OSTI)

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

Torgersen, Christian

406

Locating and total dominating sets in trees  

Science Journals Connector (OSTI)

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

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

2006-01-01T23:59:59.000Z

407

Global Genomic Arrangement of Bacterial Genes Is Closely Tied with the Total Transcriptional Efficiency  

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

Global Genomic Arrangement of Bacterial Genes Is Closely Tied with the Total Global Genomic Arrangement of Bacterial Genes Is Closely Tied with the Total Transcriptional Efficiency Qin Ma, Ying Xu PII: S1672-0229(13)00008-9 DOI: http://dx.doi.org/10.1016/j.gpb.2013.01.004 Reference: GPB 52 To appear in: Please cite this article as: Q. Ma, Y. Xu, Global Genomic Arrangement of Bacterial Genes Is Closely Tied with the Total Transcriptional Efficiency, (2013), doi: http://dx.doi.org/10.1016/j.gpb.2013.01.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process

408

Locating-total domination in graphs  

Science Journals Connector (OSTI)

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

Michael A. Henning; Nader Jafari Rad

2012-01-01T23:59:59.000Z

409

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect

Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

2005-08-25T23:59:59.000Z

410

U.S. Total Exports  

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

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

411

How may a customer exploit the Bonneville Power Administration's new pricing scheme?  

Science Journals Connector (OSTI)

For more than half a century, the Bonneville Power Administration (BPA) has marketed electricity produced by the Federal Columbia River Power System (FCRPS) to its 'preference' customers in the Pacific Northwest. It has historically met the growing needs of its preference customers by augmenting the power provided by the FCRPS with market purchases and recovering its costs through its cost-based rates. The BPA, however, is preparing to implement a new pricing scheme intended to balance its historical commitment to supply its customers with low-cost power from the FCRPS with the need to signal that growing demands are met with increasingly expensive generation resources. This paper describes an opportunity that may exist for customers to exploit the scheme to obtain a larger share of low-cost federal power going forward. We show that when all customers take advantage of the opportunity, they find themselves in a form of the prisoner's dilemma whose outcome is a lose-lose Nash equilibrium, and discuss its managerial implications.

Doug Allen; Ira Horowitz; Chi-Keung Woo

2011-01-01T23:59:59.000Z

412

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

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

413

Total cost model for making sourcing decisions  

E-Print Network (OSTI)

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

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

2007-01-01T23:59:59.000Z

414

Team Total Points Beta Theta Pi 2271  

E-Print Network (OSTI)

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

Buehrer, R. Michael

415

CET2001 Customer Led Network Revolution (Smart Grid Project) | Open Energy  

Open Energy Info (EERE)

CET2001 Customer Led Network Revolution (Smart Grid Project) CET2001 Customer Led Network Revolution (Smart Grid Project) Jump to: navigation, search Project Name CET2001 Customer Led Network Revolution Country United Kingdom Coordinates 55.378052°, -3.435973° 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":55.378052,"lon":-3.435973,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

416

Critical Issues Facing Federal Customers and the Electric Industry: A Call to Partnering  

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

Issues Facing Federal Issues Facing Federal Critical Issues Facing Federal Customers and the Electric Industry: Customers and the Electric Industry: A Call to Partnering A Call to Partnering Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG November 28, 2007 Overview  State of the industry  Review recent Energy Infrastructure Picture State of the Industry State of the Industry The Challenge of Balancing Core Drivers The Challenge of Balancing Core Drivers Rising Costs Rising Costs and Prices and Prices Climate Climate Change Change Energy Energy Efficiency Efficiency Enormous Enormous CapEx CapEx No longer a declining cost industry Fuel, infrastructure components, global industrialization and competition $ 750 Billion  $ 1.2 Trillion Exceeds current capitalization

417

SoCalGas - Custom Non-Residential Energy Efficiency Program | Department of  

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

Custom Non-Residential Energy Efficiency Program Custom Non-Residential Energy Efficiency Program SoCalGas - Custom Non-Residential Energy Efficiency Program < Back Eligibility Agricultural Commercial Industrial Savings Category Other Heating & Cooling Commercial Heating & Cooling Heating Appliances & Electronics Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Water Heating Maximum Rebate Energy Efficiency Calculated Incentive Program: $1,000,000/project and $2,000,000/premise/year Savings By Design Program: $500,000/year Program Info Funding Source Public Purpose Goods Surcharge Start Date 1/1/2010 Expiration Date 12/31/2012 State California Program Type Utility Rebate Program Rebate Amount $1/therm saved annually or 50% of the project cost (excluding taxes and

418

Attachment CATEGORICAL EXCLUSION FOR U.S. CUSTOMS AND BORDER PROTECTION  

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

CATEGORICAL EXCLUSION FOR U.S. CUSTOMS AND BORDER PROTECTION CATEGORICAL EXCLUSION FOR U.S. CUSTOMS AND BORDER PROTECTION HIGH-ENERGY RADIOGRAPHY TEST CAPABILITY, PACIFIC NORTHWEST NATIONAL LABORATORY, RICHLAND, WASHINGTON Proposed Action: To support the U.S. Department of Homeland Security's Customs and Border Protection (CBP) Program, the U.S. Department of Energy (DOE) Pacific Northwest Site Office (PNSO) proposes to test high-energy radiography systems at the Pacific Northwest National Laboratory (PNNL) site. These systems have a primary beam energy of less than 8.0 million electron volts (MeV) and an average beam power of less than 300 watts (W). Location of Action: The Physical Sciences Facility (PSF) Complex at the PNNL site. Description of the Proposed Action: PNNL proposes to test the operation of high-energy radiography systems that rely on a pulsed

419

Customized Resources for Others | OSTI, US Dept of Energy, Office of  

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

420

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

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

The California Solar Initiative: Cost Trends in Customer-Sited PV 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: January 9, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Anita Estner California's new solar initiative will dedicate over $3 billion of public funds to support the installation of customer-sited solar installations in the state over the next 10 years, principally in the form of residential and commercial photovoltaic (PV) systems. These efforts build from historical programs that have made California the third largest PV market in the world, behind Germany and Japan. This talk will summarize recent efforts at Berkeley Lab to advise the state's energy agencies in the design

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

Customer System Efficiency Improvement Assessment: Description and examination of system characterization data  

SciTech Connect

This report describes three data bases that were developed in the Customer System Efficiency Improvement (CSEI) Assessment project to help characterize transmission and distribution (T and D) system losses experienced by utility customers in the Pacific Northwest. A principal objective of this project is to assess the potential for electric energy conservation in the T and D systems of BPA's utility customers. The three data bases provide essential input on the number and operating characteristics of T and D component stocks that was used in another task of the CSEI Project to estimate the conservation supply functions that result from replacing existing stocks with more efficient components (Tepel et al. 1986). This document describes the three data bases, provides a guide to their use, and presents a summary characterization of the principal loss-generating components (lines and transformers) of the region's T and D systems.

Callaway, J.W.; DeSteese, J.G.

1986-12-01T23:59:59.000Z

422

Enhancing User Customization through Novel Software Architecture for Utility Scale Solar Siting Software  

SciTech Connect

There is a need for a spatial decision support application that allows users to create customized metrics for comparing proposed locations of a new solar installation. This document discusses how PVMapper was designed to overcome the customization problem through the development of loosely coupled spatial and decision components in a JavaScript plugin architecture. This allows the user to easily add functionality and data to the system. The paper also explains how PVMapper provides the user with a dynamic and customizable decision tool that enables them to visually modify the formulas that are used in the decision algorithms that convert data to comparable metrics. The technologies that make up the presentation and calculation software stack are outlined. This document also explains the architecture that allows the tool to grow through custom plugins created by the software users. Some discussion is given on the difficulties encountered while designing the system.

Brant Peery; Sam Alessi; Randy Lee; Leng Vang; Scott Brown; David Solan; Dan Ames

2014-06-01T23:59:59.000Z

423

Customer service model for waste tracking at Los Alamos National Laboratory  

SciTech Connect

The deployment of any new software system in a production facility will always face multiple hurtles in reaching a successful acceptance. However, a new waste tracking system was required at the plutonium processing facility at Los Alamos National Laboratory (LANL) where waste processing must be integrated to handle Special Nuclear Materials tracking requirements. Waste tracking systems can enhance the processing of waste in production facilities when the system is developed with a focus on customer service throughout the project life cycle. In March 2010 Los Alamos National Laboratory Waste Technical Services (WTS) replaced the aging systems and infrastructure that were being used to support the plutonium processing facility. The Waste Technical Services (WTS) Waste Compliance and Tracking System (WCATS) Project Team, using the following customer service model, succeeded in its goal to meet all operational and regulatory requirements, making waste processing in the facility more efficient while partnering with the customer.

Dorries, Alison M [Los Alamos National Laboratory; Montoya, Andrew J [Los Alamos National Laboratory; Ashbaugh, Andrew E [Los Alamos National Laboratory

2010-11-10T23:59:59.000Z

424

Custom Coolers, LLC Respondent BEFORE THE U.S. DEPARTMENT OF ENERGY  

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

Custom Coolers, LLC Custom Coolers, LLC Respondent BEFORE THE U.S. DEPARTMENT OF ENERGY WASHINGTON, D.C. 20585 ) ) ) ) ) ) ORDER Case Number: 2013-CE-5315 By the General Counsel, U.S. Department of Energy: I. In this Order, I adopt the attached Compromise Agreement entered into between the U.S. Department of Energy ("DOE") and Custom Coolers, LLC ("Respondent"). The Compromise Agreement resolves the case initiated to pursue a civil penalty for violations ofthe compliance certification requirements located at 10 C.F.R. §§ 429.12 and 429.53. 2. DOE and Respondent have negotiated the terms of the Compromise Agreement that resolve this matter. A copy of the Compromise Agreement is attached hereto and incorporated by reference. 3. After reviewing the terms of the Compromise Agreement and evaluating the facts

425

ORISE: Delivering Cost Savings and Customer Service with Off-the-Shelf  

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

Cost Savings and Customer Service Cost Savings and Customer Service ORISE delivers Cost Savings and Customer Service with Off-the-Shelf Software The Oak Ridge Institute for Science and Education's (ORISE) Scientific Peer Review Program is no different than any other organization striving to do more with less in the current economy. With smaller budgets and faster turnaround needed for proposal reviews, utilizing Web-based collaboration tools to share information is necessary. Therefore, the ORISE team built a project tracking and management system with off-the-shelf products-an immediate cost and time-saver. In a recent example involving the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), ORISE conducted an annual merit review-a complete and objective examination of DOE funded projects

426

Million Cu. Feet Percent of National Total  

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

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

427

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

428

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

429

Million Cu. Feet Percent of National Total  

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

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

430

Million Cu. Feet Percent of National Total  

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

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

431

Million Cu. Feet Percent of National Total  

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

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

432

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

433

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

434

Million Cu. Feet Percent of National Total  

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

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

435

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

436

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

437

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

438

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

439

Million Cu. Feet Percent of National Total  

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

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

440

Million Cu. Feet Percent of National Total  

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

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

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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

442

Million Cu. Feet Percent of National Total  

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

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

443

Million Cu. Feet Percent of National Total  

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

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

444

Million Cu. Feet Percent of National Total  

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

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

445

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

446

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

447

Million Cu. Feet Percent of National Total  

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

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

448

Compare All CBECS Activities: Total Energy Use  

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

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

449

TotalView Parallel Debugger at NERSC  

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

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

450

The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California  

E-Print Network (OSTI)

Feed-In Tariff1) An MPR-based feed-in tariff, under which the customer isrenewable generator feed-in tariff program. 5 The third

Darghouth, Naim

2010-01-01T23:59:59.000Z

451

The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California  

E-Print Network (OSTI)

Load Data..Factor 2.2. Customer Load Data Our analysis relies on 15-analysis is based on hourly load data from a sample of 215

Darghouth, Naim

2010-01-01T23:59:59.000Z

452

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

E-Print Network (OSTI)

of Energy Office of Energy Efficiency and Renewable Energy,Interactions between Energy Efficiency Programs Funded UnderUtility Customer-Funded Energy Efficiency Programs Charles

Goldman, Charles A.

2014-01-01T23:59:59.000Z

453

Voices of Experience: New Guide Offers Utilities’ Insights on Engaging with Smart Grid Customers  

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

The Voices of Experience | Insights on Smart Grid Customer Engagement guide builds on the knowledge shared during a series of DOE-sponsored regional peer-to-peer workshops during which utilities discussed compelling smart grid topics and issues. The guide offers practical advice and lessons learned, and showcases creative, high-impact approaches.

454

Strategic Planning Session STRATEGIC THEMES AND DRIVERS (w/Customer Satisfaction Element)  

E-Print Network (OSTI)

.3.1 Reactive Maintenance work requests 4.1.2 All FM Units Achieve Customer Satisfaction of 85% 85% ? Annual 4.1.3 Reduce: Maintenance% 37% ? 6.1.5 Maint Cost/GSF +/ 5% of APPA Avg for Peer Inst +/5% 6.1.6 Landscape Cost/GSF +/5% of APPA

Howitt, Ivan

455

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

E-Print Network (OSTI)

1 Simulating Customer Experience and Word-Of-Mouth in Retail - A Case Study Peer-Olaf Siebers Uwe the relationship between people management practices and retail performance. We report on the current development, we introduce new performance measure specific to retail operations. We show that by varying different

Aickelin, Uwe

456

Demand Response from Day-Ahead Hourly Pricing for Large Customers  

SciTech Connect

Day-ahead default-service RTP for large customers not only improves the linkage between wholesale and retail markets, but also promotes the development of retail competition. The default service sets a standard for competitive alternatives and its structure shapes the types of retail market products that develop. (author)

Hopper, Nicole; Goldman, Charles; Neenan, Bernie

2006-04-15T23:59:59.000Z

457

Customer rebates and retailer incentives in the presence of competition and price discrimination  

Science Journals Connector (OSTI)

Promotions are important tools for matching supply and demand in many industries. In the United States automotive industry, promotions are frequently offered, which may be given directly to customers (rebates) or given to dealers (incentives) to stimulate demand. We analyze the performance of customer rebate and retailer incentive promotions under competition. We study a setting with two manufacturers making simultaneous pricing and promotion decisions, and with two price-discriminating retailers as Stackelberg followers making simultaneous order quantity decisions. In the benchmark case with no promotions, we characterize the equilibria in closed form. We find that retailer incentives can be used by manufacturers to simultaneously improve each of their profits but can potentially lead to lower retailer profits. When manufacturers use customer rebates, we show that a manufacturer is able to decrease the profit of her competitor while increasing her own profit, although she is also at risk for her competitor to use rebates in a similar fashion. Unlike the monopoly case where the manufacturers are always better off with retailer incentives, customer rebates can be more profitable under some cases in the presence of competition. Using numerical examples we generate insights on the manufacturers’ preference of promotions in different market settings.

Ozgun Caliskan Demirag; Pinar Keskinocak; Julie Swann

2011-01-01T23:59:59.000Z

458

Automated Recurrent Neural Network Design of a Neural Controller in a Custom Power Device  

Science Journals Connector (OSTI)

A general purpose implementation of the Tabu Search metaheuristic, called Universal Tabu Search, is used to optimally design a Locally Recurrent Neural Network architecture. Indeed, the design of a neural network is a tedious and time consuming trial ... Keywords: custom power protection device, neural controller, recurrent neural networks, universal Tabu Search

B. Cannas; G. Celli; A. Fanni; F. Pilo

2001-05-01T23:59:59.000Z

459

Custom Detector Technology LASP satellite instruments include a wide range of technology,  

E-Print Network (OSTI)

Custom Detector Technology LASP satellite instruments include a wide range of technology, including particles, electric fields, and dust particles in space. Low-noise detectors are critical technology for our Extremely low-noise CCDs and intensified CCDs have flown on SDO for observing solar EUV and on AIM

Mojzsis, Stephen J.

460

U.S. Bank Corporate Payment Systems Customer Information on the Dispute and Fraud Processes  

E-Print Network (OSTI)

1 of 4 U.S. Bank Corporate Payment Systems Customer Information on the Dispute and Fraud Processes What is the difference between a fraud case and a dispute case? Defining fraud cases Fraud is defined as third party unauthorized use of a card. Common fraud situations include: · Swiped transactions after

de Lijser, Peter

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

Adaptability Design to Meet Dynamic Customer's Needs N. Janthong1,2,3  

E-Print Network (OSTI)

's University of Technology North Bangkok (KMUTNB), Thailand 3 Thai-France Innovation Institute, King Mongkut's University of Technology North Bangkok (KMUTNB), Thailand Abstract - The customer is the core element to answer unexpected demand and to adapt to SMEs where resources are limited is now needed. Design

Paris-Sud XI, Université de

462

DOE Zero Energy Ready Home Case Study, Weiss Building & Development, LLC., Custom Home, Downer Grove, IL  

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

Case study of a DOE Zero Energy Ready Home in Downers Grove, IL that scored HERS 35 without PV. This 3,600 ft2 custom home has advanced framed walls with R-23 dense-packed fiberglass plus R-13 rigid polyiso, a sealed attic with open-cell spray foam, a pier foundation, and 95% efficient gas furnace.

463

An optimization-based approach to scheduling residential battery storage with solar PV: Assessing customer benefit  

Science Journals Connector (OSTI)

Abstract Several studies have suggested that battery storage co-located with solar photovoltaics (PV) benefits electricity distributors in maintaining system voltages within acceptable limits. However, without careful coordination, these potential benefits might not be realized. In this paper we propose an optimization-based algorithm for the scheduling of residential battery storage co-located with solar PV, in the context of PV incentives such as feed-in tariffs. Our objective is to maximize the daily operational savings that accrue to customers, while penalizing large voltage swings stemming from reverse power flow and peak load. To achieve this objective we present a quadratic program (QP)-based algorithm. To complete our assessment of the customer benefit, the QP-based scheduling algorithm is applied to measured load and generation data from 145 residential customers located in an Australian distribution network. The results of this case study confirm the QP-based scheduling algorithm significantly penalizes reverse power flow and peak loads corresponding to peak time-of-use billing. In the context of feed-in tariffs, the majority of customers exhibited operational savings when QP energy-shifting.

Elizabeth L. Ratnam; Steven R. Weller; Christopher M. Kellett

2015-01-01T23:59:59.000Z

464

DOE Zero Energy Ready Home Case Study: Sterling Brook Custom Homes, Double Oak, TX  

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

Case study of a DOE Zero Energy Ready home in Double Oak, TX, north of Dallas, that scored a HERS 44 without PV. The 3,752-ft2 two-story home served as an energy-efficient model home for the custom...

465

Soft-core Processor Customization using the Design of Experiments David Sheldon, Frank Vahid*, Stefano Lonardi  

E-Print Network (OSTI)

by the analysis in turn drives a soft-core tuning heuristic. We show that using DoE to sort the parameters by 40-45% by using predictive tuning methods already built into a DoE tool. 1. Introduction Soft-coreSoft-core Processor Customization using the Design of Experiments Paradigm David Sheldon, Frank

Lonardi, Stefano

466

Spatial Data Mining, Michael May, Fraunhofer AIS 1 Spatial Data Mining for Customer  

E-Print Network (OSTI)

Spatial Data Mining, Michael May, Fraunhofer AIS 1 Spatial Data Mining for Customer Segmentation Intelligente Systeme #12;Spatial Data Mining, Michael May, Fraunhofer AIS 2 Introduction: a classic example? A good representation is the key to solving a problem Disease cluster #12;Spatial Data Mining, Michael

Morik, Katharina

467

Program Ultra-Dispatcher for launching applications in a customization manner on cloud computing  

Science Journals Connector (OSTI)

Cloud computing is an emerging computing paradigm that can abstract various computer resources and make the resources as services easily accessible to people. Meanwhile, cloud computing provides people with the resources in a pay-as-you-go style, i.e. ... Keywords: Cloud computing, Customization, IaaS, PROUD, Program Ultra-Dispatcher, Windows

Tzu-Chi Huang

2012-01-01T23:59:59.000Z

468

Gluten-Free Guidelines A BASIC GUIDE TO SERVING GLUTEN-FREE CUSTOMERS  

E-Print Network (OSTI)

Gluten-Free Guidelines A BASIC GUIDE TO SERVING GLUTEN-FREE CUSTOMERS Celiac disease and gluten intolerance are SERIOUS medical conditions. A strict gluten-free diet is REQUIRED to maintain health. Gluten not constitute endorsement. The materials in the Gluten-Free Restaurant Awareness and Gluten-Free Food Service

Hill, Wendell T.

469

Toward Experiential Utility Elicitation for Interface Customization Department of Computer Science  

E-Print Network (OSTI)

Toward Experiential Utility Elicitation for Interface Customization Bowen Hui Department- fective models to learn individual preferences on- line requires domain models that associate ob- servations of user behaviour with their utility functions, which in turn can be constructed us- ing utility

Boutilier, Craig

470

Design, system model and development of customized electronic light barriers for robotic and mechatronic applications  

Science Journals Connector (OSTI)

In recent decades, indispensability of customized development of industrial-grade products has been widely recognized. The present paper describes the design, modeling and indigenous hardware development of such a product, namely, 'Electronic Light Barrier', ... Keywords: Guarding system, Industrial application, Light barrier, Mechatronics, Metrology, Model, Robotics

Debanik Roy

2013-08-01T23:59:59.000Z

471

DOE Zero Energy Ready Home Case Study, Caldwell and Johnson, Exeter, RI, Custom Home  

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

Case study of a DOE Zero Energy Ready Home in Exeter, Rhode Island, that scored HERS 43 without PV. This 2,000 ft2 custom home has a spray- foamed attic and walls, plus rigid foam sheathing, ducted mini-split heat pumps, and an HRV.

472

Custom 3D-Printed Rollers for Frieze Pattern Cookies Robert Hanson  

E-Print Network (OSTI)

Custom 3D-Printed Rollers for Frieze Pattern Cookies Robert Hanson Towson University, Emeritus a method for converting images of repeating patterns, e.g., Roman friezes or Escher tessellations, into 3D-printed the world of mathematics and the art of cooking. Fractal cookies based on stretching and folding [1] and 3D-printed

473

Technology opportunity identification customized to the technological capability of SMEs through two-stage patent analysis  

Science Journals Connector (OSTI)

Small and medium enterprises (SMEs) have difficulties identifying appropriate technology opportunities under severe capability and resource constraints. To tackle this issue, we suggest a method for identifying technology opportunities that is customized ... Keywords: 62-07, Action and object analysis, O32, Patent analysis, Small and medium enterprise, Technological capability, Technology opportunity

Yongho Lee; So Young Kim; Inseok Song; Yongtae Park; Juneseuk Shin

2014-07-01T23:59:59.000Z

474

Single-molecule FRET experiments with a red-enhanced custom technology SPAD  

E-Print Network (OSTI)

Single-molecule FRET experiments with a red-enhanced custom technology SPAD Francesco Panzerib, Italy ABSTRACT Single-molecule fluorescence spectroscopy of freely diffusing molecules in solution is a powerful tool used to investigate the properties of individual molecules. Single-Photon Avalanche Diodes

Michalet, Xavier

475

NewsViews: an automated pipeline for creating custom geovisualizations for news  

Science Journals Connector (OSTI)

Interactive visualizations add rich, data-based context to online news articles. Geographic maps are currently the most prevalent form of these visualizations. Unfortunately, designers capable of producing high-quality, customized geovisualizations are ... Keywords: geovisualization, interactive maps, narrative information visualization, online news, text summarization

Tong Gao; Jessica R. Hullman; Eytan Adar; Brent Hecht; Nicholas Diakopoulos

2014-04-01T23:59:59.000Z

476

Integrating Customized Test Requirements with Traditional Requirements in Web Application Testing  

E-Print Network (OSTI)

Integrating Customized Test Requirements with Traditional Requirements in Web Application Testing Existing test suite reduction techniques employed for test- ing web applications have either used-based requirements in relation to test suite reduction for web applications. We investigate the use of usage

Sampath, Sreedevi

477

DOE Zero Energy Ready Home Case Study, e2Homes, Winterpark, FL, Custom Homes  

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

Case study of a DOE Zero Energy Ready Home in Winter Park, FL that scored HERS 57 without PV or HERS -7 with PV. This 4,305 ft2 custom home has autoclaved aerated concrete walls, a sealed attic with R-20 spray foam, and ductless mini-split heat pumps.

478

The Future of Utility Customer-Funded Energy Efficiency Programs in the  

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

The Future of Utility Customer-Funded Energy Efficiency Programs in the The Future of Utility Customer-Funded Energy Efficiency Programs in the United States: Projected Spending and Savings to 2025 Title The Future of Utility Customer-Funded Energy Efficiency Programs in the United States: Projected Spending and Savings to 2025 Publication Type Report Year of Publication 2013 Authors Barbose, Galen L., Charles A. Goldman, Ian M. Hoffman, and Megan A. Billingsley Date Published 01/2013 Keywords electricity markets and policy group, energy analysis and environmental impacts department, renewable energy: policy Abstract We develop projections of future spending on, and savings from, energy efficiency programs funded by electric and gas utility customers in the United States, under three scenarios through 2025. Our analysis, which updates a previous LBNL study, relies on detailed bottom-up modeling of current state energy efficiency policies, regulatory decisions, and demand-side management and utility resource plans. The three scenarios are intended to represent a range of potential outcomes under the current policy environment (i.e., without considering possible major new policy developments).

479

J-2 Work Permission Permission may be authorized by the United States Immigration & Customs Services  

E-Print Network (OSTI)

J-2 Work Permission Permission may be authorized by the United States Immigration & Customs: Will review and make any suggestions on the completed application. Recommends that you keep a copy (see attached). 6. White or off-white background. Printed on thin photo paper or stock 7. Photographs

Varela, Carlos

480

Million Cu. Feet Percent of National Total  

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

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

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

Million Cu. Feet Percent of National Total  

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

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

482

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

483

Million Cu. Feet Percent of National Total  

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

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

484

Million Cu. Feet Percent of National Total  

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

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

485

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

486

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

487

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

488

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

489

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

490

Million Cu. Feet Percent of National Total  

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

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

491

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

492

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

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

493

Million Cu. Feet Percent of National Total  

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

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

494

ARM - Measurement - Shortwave spectral total downwelling irradiance  

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

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

495

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

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

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

496

Total Supplemental Supply of Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

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

497

Total Natural Gas Gross Withdrawals (Summary)  

Gasoline and Diesel Fuel Update (EIA)

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

498

Million Cu. Feet Percent of National Total  

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

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

499

An empirical study on customer interaction with a contact centre and its effect on CRM: a multicultural perspective from India  

Science Journals Connector (OSTI)

Contact centres, or call centres as they are known popularly, are used by service providers to solve customersâ?? problems and enhance their value. These interactions are reflective of the service providersâ?? commitment to keeping their customers satisfied and happy, and point to areas of improvement for service providers, and also tell them how customers perceive their communication strategies. In this paper, the authors have attempted to study the levels of satisfaction of customers in their interactions with call centres, as call centres are the most convenient and regularly used mode of getting in touch with a service provider. The authors also point to gaps in customer interaction strategies that could have an impact on customer satisfaction and the influence these gaps could have on the companyâ??s overall Customer Relationship Management strategy. They identify four key dimensions of customer relationship, namely interaction, knowledge and information, responsiveness and reliability and map the response of customers with respect to each within the overall framework of satisfaction. This paper also analysis cultural influence of these strategies.

K. Sai Prasaad; Sita Mishra

2012-01-01T23:59:59.000Z

500

Total Synthesis of Irciniastatin A (Psymberin)  

E-Print Network (OSTI)

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