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Note: This page contains sample records for the topic "naics net demand" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

2

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

3

" Row: NAICS Codes; Column: Electricity Components;"  

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

1 Electricity: Components of Net Demand, 2002;" 1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases"," In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

4

" Row: NAICS Codes; Column: Electricity Components;"  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,,"Sales and","Net Demand","RSE" "NAICS"," ",,,"Total Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

5

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

6

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

7

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2010;" 1.1 Electricity: Components of Net Demand, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",75652,21,5666,347,80993

8

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2006;" 1.1 Electricity: Components of Net Demand, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",73242,309,4563,111,78003

9

Table 11.1 Electricity: Components of Net Demand, 2010;  

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

1.1 Electricity: Components of Net Demand, 2010; 1.1 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 75,652 21 5,666 347 80,993 3112 Grain and Oilseed Milling 16,620 0 3,494 142 19,972 311221 Wet Corn Milling 7,481 0 3,213 14 10,680 31131 Sugar Manufacturing 1,264 0 1,382 109 2,537 3114 Fruit and Vegetable Preserving and Specialty Foods 9,258 0 336 66 9,528 3115 Dairy Products 9,585 2 38 22 9,602 3116 Animal Slaughtering and Processing 20,121 15 19 0 20,155 312 Beverage and Tobacco Products

10

Net Demand3 Production  

E-Print Network (OSTI)

Contract Number: DE-FE0004002 (Subcontract: S013-JTH-PPM4002 MOD 00) Summary The US DOE has identified a number of materials that are both used by clean energy technologies and are at risk of supply disruptions in the short term. Several of these materials, especially the rare earth elements (REEs) yttrium, cerium, and lanthanum were identified by DOE as critical (USDOE 2010) and are crucial to the function and performance of solid oxide fuel cells (SOFCs) 1. In addition, US DOE has issued a second Request For Information regarding uses of and markets for these critical materials (RFI;(USDOE 2011)). This report examines how critical materials demand for SOFC applications could impact markets for these materials and vice versa, addressing categories 1,2,5, and 6 in the RFI. Category 1 – REE Content of SOFC Yttria (yttrium oxide) is the only critical material (as defined for the timeframe of interest for SOFC) used in SOFC 2. Yttrium is used as a dopant in the SOFC’s core ceramic cells.. In addition, continuing developments in SOFC technology will likely further reduce REE demand for SOFC, providing credible scope for at least an additional 50 % reduction in REE use if desirable. Category 2 – Supply Chain and Market Demand SOFC developers expect to purchase

J. Thijssen Llc

2011-01-01T23:59:59.000Z

11

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2010;" 3 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

12

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2010;" 4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

13

" Row: End Uses within NAICS Codes;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)","RSE" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Row"

14

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2006;" 4 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

15

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2006;" 3 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

16

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2002;" 3 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" " "," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","RSE" "NAICS"," ","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Row"

17

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2002;" 4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Factors"

18

Demand response compensation, net Benefits and cost allocation: comments  

Science Conference Proceedings (OSTI)

FERC's Supplemental Notice of Public Rulemaking addresses the question of proper compensation for demand response in organized wholesale electricity markets. Assuming that the Commission would proceed with the proposal ''to require tariff provisions allowing demand response resources to participate in wholesale energy markets by reducing consumption of electricity from expected levels in response to price signals, to pay those demand response resources, in all hours, the market price of energy for such reductions,'' the Commission posed questions about applying a net benefits test and rules for cost allocation. This article summarizes critical points and poses implications for the issues of net benefit tests and cost allocation. (author)

Hogan, William W.

2010-11-15T23:59:59.000Z

19

" Row: NAICS Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

20

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2010;" 2 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," " " "," " "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

Note: This page contains sample records for the topic "naics net demand" 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

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2002;" 2 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

22

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2002;" 1 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

23

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2010;" 1 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)"

24

" Row: NAICS Codes; Column: Energy Sources;"  

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

1. Fuel Consumption, 1998;" 1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

25

Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumption to the Annual Energy Outlook Industrial Demand Module Table 17. Industry Categories Printer Friendly Version Energy-Intensive Manufacturing Nonenergy-Intensive Manufacturing Nonmanufacturing Industries Food and Kindred Products (NAICS 311) Metals-Based Durables (NAICS 332-336) Agricultural Production -Crops (NAICS 111) Paper and Allied Products (NAICS 322) Balance of Manufacturing (all remaining manufacturing NAICS) Other Agriculture Including Livestock (NAICS112- 115) Bulk Chemicals (NAICS 32B) Coal Mining (NAICS 2121) Glass and Glass Products (NAICS 3272) Oil and Gas Extraction (NAICS 211) Hydraulic Cement (NAICS 32731) Metal and Other Nonmetallic Mining (NAICS 2122- 2123) Blast Furnaces and Basic Steel (NAICS 331111) Construction (NAICS233-235)

26

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2002; " " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit:...

27

" Row: NAICS Codes;"  

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

9.1 Enclosed Floorspace and Number of Establishment Buildings, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square...

28

Table 11.2 Electricity: Components of Net Demand, 2010;  

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

2 Electricity: Components of Net Demand, 2010; 2 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million Kilowatthours. Sales and Net Demand Economic Total Onsite Transfers for Characteristic(a) Purchases Transfers In(b) Generation(c) Offsite Electricity(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 91,909 Q 1,406 194 93,319 20-49 86,795 81 2,466 282 89,060 50-99 90,115 215 2,593 1,115 91,808 100-249 124,827 347 11,375 5,225 131,324 250-499 116,631 2,402 24,079 5,595 137,516 500 and Over 225,242 6,485 91,741 20,770 302,699 Total 735,520 9,728 133,661 33,181 845,727 Employment Size Under 50

29

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2006;" 2 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

30

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2002;" 2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

31

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2002;" 1 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal" " "," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Row"

32

" Row: End Uses within NAICS Codes;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

33

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2010;" 2 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

34

SBOT NAICS Series  

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

SBOT NAICS Series 213112 Support Activities for Oil and Gas Operations NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NATIONAL ENERGY...

35

" Row: NAICS Codes; Column: Energy Sources;"  

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

3.4 Number of Establishments by Fuel Consumption, 2006;" 3.4 Number of Establishments by Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

36

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Fuel Consumption, 2002;" 4 Number of Establishments by Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

37

Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;  

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

1.1 Electricity: Components of Net Demand, 2006; 1.1 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 73,242 309 4,563 111 78,003 3112 Grain and Oilseed Milling 15,283 253 2,845 72 18,310 311221 Wet Corn Milling 6,753 48 2,396 55 9,142 31131 Sugar Manufacturing 920 54 951 7 1,919 3114 Fruit and Vegetable Preserving and Specialty Foo 9,720 1 268 13 9,976 3115 Dairy Products 10,079 0 44 0 10,123 3116 Animal Slaughtering and Processing 17,545 0 17 0 17,562 312 Beverage and Tobacco Products

38

Table E13.1. Electricity: Components of Net Demand, 1998  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Electricity Components;" " Unit: Million Kilowatthours." " ",," "," ",," " ,,,,"Sales and","Net Demand","RSE" "Economic",,,"Total Onsite","Transfers","for","Row" "Characteristic(a)","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,"Total United States"

39

NAICS Search | Department of Energy  

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

NAICS Search NAICS Search NAICS Search The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying businesses. 10000 21000 22000 23000 31000 32000 33000 42000 44000 45000 48000 49000 51000 53000 54000 56000 61000 62000 81000 92000 NAICS uses six-digit codes at the most detailed level, with the first two digits representing the largest business sector, the third designating a subsector, the fourth designating the industry group, and the fifth showing the particular industry. Use the documents below, which are labeled by series, to see Department of Energy facilities that have historically procured goods/services in that

40

" Row: End Uses within NAICS Codes;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ","Coal"," "," " " "," ",,,,"Fuel Oil",,,"(excluding Coal" " "," "," ","Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)"," ","RSE"

Note: This page contains sample records for the topic "naics net demand" 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

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2006;" 1 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

42

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2010;" 1 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

43

NAICS Codes Description:  

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

Codes Codes Description: Filters: Date Signed only show values between '10/01/2006' and '09/30/2007', Contracting Agency ID show only ('8900'), Contracting Office ID show only ('00001') Contracting Agency ID: 8900, Contracting Office ID: 00001 NAICS Code NAICS Description Actions Action Obligation 541519 OTHER COMPUTER RELATED SERVICES 251 $164,546,671 541611 ADMINISTRATIVE MANAGEMENT AND GENERAL MANAGEMENT CONSULTING SERVICES 236 $52,396,806 514210 DATA PROCESSING SERVICES 195 $28,941,727 531210 OFFICES OF REAL ESTATE AGENTS AND BROKERS 190 $6,460,652 541330 ENGINEERING SERVICES 165 $33,006,079 163 $11,515,387 541690 OTHER SCIENTIFIC AND TECHNICAL CONSULTING SERVICES 92 $40,527,088 531390 OTHER ACTIVITIES RELATED TO REAL ESTATE 79 -$659,654 337214 OFFICE FURNITURE (EXCEPT WOOD) MANUFACTURING 78 $1,651,732

44

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2006;" 1 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,,,,"Coke" ,,,,"Net",,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze" "NAICS",,"Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)",,"(million kWh)",,"(million bbl)","(million bbl)","cu ft)",,"(million bbl)","short tons)","short tons)","(trillion Btu)"

45

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2006;" 2 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Net",,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1186,,251,,26,16,635,,3,,147,1,107 3112," Grain and Oilseed Milling",317,,53,,2,1,118,,"*",,114,0,30

46

Good-Bye, SIC - Hello, NAICS  

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

Return to Energy Information Administration Home Page. Welcome to the U.S. Energy Information Administration's Manufacturing Web Site. If you are having trouble, call 202-586-8800 for help. Return to Energy Information Administration Home Page. Welcome to the U.S. Energy Information Administration's Manufacturing Web Site. If you are having trouble, call 202-586-8800 for help. Home > Industrial > Manufacturing > Good-Bye, SIC - Hello, NAICS Good-Bye, SIC - Hello, NAICS The North American Industry Classification System (NAICS) of the United States, Canada, and Mexico Featured topics are: What is NAICS? Why replace the SIC system? How is NAICS better than SIC? How can data series be adjusted from SIC to NAICS? How is NAICS structured? Is there a source for more information about NAICS? What is NAICS? A new classification system has arrived for manufacturing establishments, and the Energy Information Administration (EIA) has incorporated this new

47

" Row: NAICS Codes; Column: Energy Sources and Shipments;"  

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

.1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" .1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources and Shipments;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ","Any",," "," ",," "," ",," ","Shipments","RSE" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources","Row"

48

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

49

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

50

Level: National Data; Row: NAICS Codes; Column: Energy Sources;  

Gasoline and Diesel Fuel Update (EIA)

Next MECS will be fielded in 2015 Table 3.4 Number of Establishments by Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,416 10,373 4,039 64 7 1,538 3112 Grain and Oilseed Milling 602 602 9 204 489 268 30 0 140 311221 Wet Corn Milling 59 59 W 28 50 36 15 0 29 31131 Sugar Manufacturing 73 73 3 36 67 12 W 7 14 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987 17 207 839 503 W 0 210 3115 Dairy Products 998 998 12 217 908

51

Metalworking Machinery Manufacturing (NAICS 3335)  

Science Conference Proceedings (OSTI)

The U.S. metalworking machinery manufacturing industry (NAICS 3335) consists of about 7,900 firms with combined annual revenues of about $29 billion. Many (75%) of these firms are small, having fewer than 20 employees. This industry consumes a large amount of electricity, with about half of their usage going to drives that are used for machine tools; therefore, it is with motors and drives that the greatest opportunities for energy savings lie. Several electric technology options are available and identi...

2012-01-31T23:59:59.000Z

52

Plastic Product Manufacturing (NAICS 3261)  

Science Conference Proceedings (OSTI)

The U.S. plastics product manufacturing industry (NAICS 3261), which consists of more than 12,000 firms with combined annual revenues of about $170 billion, is one of the ten largest manufacturing industries in the country in terms of sales. A large amount of electricity is consumed by the plastics products industry, with more than half of their usage going to machine drives; therefore, it is with motors and drives that the greatest opportunities for energy savings lie. Several electric technology option...

2012-01-31T23:59:59.000Z

53

" Row: NAICS Codes;"  

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

2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" 2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

54

" Row: NAICS Codes;"  

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

1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" 1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

55

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

Science Conference Proceedings (OSTI)

The US Department of Energy has launched the Zero-Net-Energy (ZNE) Commercial Building Initiative (CBI) in order to develop commercial buildings that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge energy-efficient technologies and meet their remaining energy needs through on-site renewable energy generation. We examine how such buildings may be implemented within the context of a cost- or carbon-minimizing microgrid that is able to adopt and operate various technologies, such as photovoltaic (PV) on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive / demand-response technologies. We use a mixed-integer linear program (MILP) that has a multi-criteria objective function: the minimization of a weighted average of the building's annual energy costs and carbon / CO2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the CBI. Using a nursing home in northern California and New York with existing tariff rates and technology data, we find that a ZNE building requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve ZNE. For comparison, we analyze a nursing home facility in New York to examine the effects of a flatter tariff structure and different load profiles. It has trouble reaching ZNE status and its load reductions as well as efficiency measures need to be more effective than those in the CA case. Finally, we illustrate that the multi-criteria frontier that considers costs and carbon emissions in the presence of demand response dominates the one without it.

Stadler , Michael; Siddiqui, Afzal; Marnay, Chris; ,, Hirohisa Aki; Lai, Judy

2009-05-26T23:59:59.000Z

56

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

electricity ($/kWh) demand ($/kW) natural gas 0.035 forelectricity ($/kWh) demand ($/kW) natural gas $/kWh $/thermnatural gas tariff combined with the almost constant demand

Stadler, Michael

2009-01-01T23:59:59.000Z

57

Level: National Data; Row: NAICS Codes; Column: Energy Sources  

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

3.4 Number of Establishments by Fuel Consumption, 2006; 3.4 Number of Establishments by Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,113 326 1,462 11,395 2,920 67 13 1,240 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 148 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 45 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 104 3116 Animal Slaughtering and Processing

58

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

and achieve demand response. For example, on a hot August after- noon during the energy crisis, high demand-in trans- former used for everything from cell phones to computers could be up to 50 percent more efficient

59

North American Industry Classification System (NAICS) Search Tool |  

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

North American Industry Classification System (NAICS) Search Tool North American Industry Classification System (NAICS) Search Tool North American Industry Classification System (NAICS) Search Tool The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and publishing statistical data related to the U.S. business economy. NAICS was developed under the auspices of the Office of Management and Budget, and adopted in 1997 to replace the Standard Industrial Classification system. Through our website, you can search for procurement opportunities using your company's NAICS code, and you can learn more about the history of purchasing for your NAICS code at the Department. Visit our Industry Information page to learn more about our procurements by

60

" Row: NAICS Codes;"  

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

2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" 2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" " "," ",,"with Any"," Steam Turbines","Supplied","by Either","Conventional","Combustion","Turbines"," "," "," ","Internal","Combustion","Engines"," Steam Turbines","Supplied","by Heat"," ",," "

Note: This page contains sample records for the topic "naics net demand" 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

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

cooling offset by absorption cooling, but mostly extensivecooling demand increases, this can constitute a stable heat sink if waste heat for absorption

Stadler, Michael

2009-01-01T23:59:59.000Z

62

Level: National and Regional Data; Row: Selected NAICS Codes...  

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

Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and...

63

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" 3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" ,,,"with Any"," Steam Turbines Supplied by Either Conventional or Fluidized Bed Boilers",,,"Conventional Combusion Turbines with Heat Recovery",,,"Combined-Cycle Combusion Turbines",,,"Internal Combusion Engines with Heat Recovery",,," Steam Turbines Supplied by Heat Recovered from High-Temperature Processes",,,," "

64

NAICS Codes @ Headquarters Description: NAICS Codes used at Headquarters Procurement Services  

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

Codes @ Headquarters Codes @ Headquarters Description: NAICS Codes used at Headquarters Procurement Services Filters: Signed Date only show values between , Contracting Agency ID show only ('8900'), Contracting Office ID show only ('00001'), Date Signed only show values between '05/01/2011' and '04/30/2012', Last Modified Date only show values between Contracting Agency ID: 8900, Contracting Office ID: 00001 NAICS Code NAICS Description Action Obligation 541519 OTHER COMPUTER RELATED SERVICES 341 $141,587,250.76 531210 OFFICES OF REAL ESTATE AGENTS AND BROKERS 286 $2,204,687.38 541330 ENGINEERING SERVICES 245 $80,827,391.54 611430 PROFESSIONAL AND MANAGEMENT DEVELOPMENT TRAINING 216 -$1,452,480.09 541611 ADMINISTRATIVE MANAGEMENT AND GENERAL MANAGEMENT CONSULTING SERVICES 206 $67,689,373.27 562910 REMEDIATION

65

A Framework for Assessing the Net Benefits of Home Area Networks to Enable Demand Response  

Science Conference Proceedings (OSTI)

EPRI conducted an analysis to provide insight into the value of a Home Area Network (HAN) to a household. A HAN accommodates the flow of information to and from network nodes each associated with a device or element of the households electric system and devices. This collectivization of household devices facilitates managing the whole house load under demand response program protocols, and provides opportunities for additional payments to the household. EPRI conducted an analysis to see if the added stre...

2010-12-31T23:59:59.000Z

66

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2002;" 1 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

67

" Row: NAICS Codes; Column: Energy Sources;"  

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

6 Quantity of Purchased Energy Sources, 2010;" 6 Quantity of Purchased Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)"

68

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2006;" 1 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",,,," "," "," ",," "," "," "," "," " " "," ",,,,,,,,,,,"Coke" " "," "," ",,,,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze"," " "NAICS"," ","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)"

69

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2002;" 2 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

70

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" 4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

71

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2006;" 4 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

72

" Row: NAICS Codes; Column: Energy Sources;"  

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

2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" 2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS"," ","Energy","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

73

" Row: NAICS Codes; Column: Energy Sources;"  

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

6 Quantity of Purchased Energy Sources, 2002;" 6 Quantity of Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)"," Gas(c)","NGL(d)","(million","(million ","Other(e)","Row"

74

" Row: Employment Sizes within NAICS Codes;"  

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

3. Consumption Ratios of Fuel, 1998;" 3. Consumption Ratios of Fuel, 1998;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

75

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2002;" 4 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

76

Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments;  

Gasoline and Diesel Fuel Update (EIA)

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 13,269 13,265 151 2,494 10,376 4,061 64 7 1,668 W 3112 Grain and Oilseed Milling 602 602 9 201 490 286 30 0 165 W 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 29 0 31131 Sugar Manufacturing 73 73 3 36 67 13 11 7 15 0 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987

77

Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments  

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

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 14,128 14,113 326 1,475 11,399 2,947 67 15 1,210 W 3112 Grain and Oilseed Milling 580 580 15 183 449 269 35 0 148 W 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 0 31131 Sugar Manufacturing 78 78 11 45 61 35 26 15 45 0 3114 Fruit and Vegetable Preserving and Specialty Food 1,125

78

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2010;" 1 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,"Coke" ,,,,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze" "NAICS",,"Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","short tons)","(trillion Btu)"

79

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2010;" 2 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Residual","Distillate",,"LPG and",,"Coke" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1113,258,12,22,579,5,182,2,54 3112," Grain and Oilseed Milling",346,57,"*",1,121,"*",126,0,41

80

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2006;" 2 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,,,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1124,,251,,26,16,635,,3,,147,1,45 3112," Grain and Oilseed Milling",316,,53,,2,1,118,,"*",,114,0,28

Note: This page contains sample records for the topic "naics net demand" 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

Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;  

Gasoline and Diesel Fuel Update (EIA)

9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; 9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings; Unit: Floorspace Square Footage and Building Counts. Approximate Approximate Average Enclosed Floorspace Average Number Number of All Buildings Enclosed Floorspace of All Buildings of Buildings Onsite NAICS Onsite Establishments(b) per Establishment Onsite per Establishment Code(a) Subsector and Industry (million sq ft) (counts) (sq ft) (counts) (counts) Total United States 311 Food 1,115 13,271 107,293.7 32,953 3.1 3112 Grain and Oilseed Milling 126 602 443,178.6 5,207 24.8 311221 Wet Corn Milling 14 59 270,262.7 982 18.3 31131 Sugar Manufacturing

82

How important are NAICS and PSC to wining federal contracts? | Data.gov  

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

important are NAICS and PSC to wining federal contracts? important are NAICS and PSC to wining federal contracts? BusinessUSA Data/Tools Apps Challenges Let's Talk BusinessUSA You are here Data.gov » Communities » BusinessUSA » Forums How important are NAICS and PSC to wining federal contracts? Submitted by Gregory James on Tue, 04/17/2012 - 12:39pm Log in to vote 3 Small business owners can improve their ability to get federal contracts if they understand the nature and use of the North American Industry Classification System (NAICS) and Product and Service Codes. The purposes of these codes are to collect, analyze and publish statistical data on economic activity in the United States, Mexico and Canada. The Federal Procurement Data System (FPDS) uses these codes to track federal procurement historyNAICS is a two through six-digit hierarchical

83

Level: National Data; Row: Values of Shipments within NAICS Codes;  

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

3 Consumption Ratios of Fuel, 2006; 3 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2 50-99 830.1 5.9 2.7 100-249 1,130.0 6.7 3.1 250-499 1,961.4 7.6 3.6 500 and Over 3,861.9 9.0 3.6 Total 1,278.4 6.9 3.1 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 979.3 10.3

84

Level: National Data; Row: NAICS Codes; Column: Energy Sources;  

Gasoline and Diesel Fuel Update (EIA)

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,413 10,373 4,039 64 W 1,496 3112 Grain and Oilseed Milling 602 602 9 201 489 268 30 0 137 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 28 31131 Sugar Manufacturing 73 73 3 36 67 12 11 W 11 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987 17 207 839 503 W 0 207 3115 Dairy Products 998 998 12 217 908 161 W 0 79 3116 Animal Slaughtering and Processing

85

Level: National Data; Row: Employment Sizes within NAICS Codes;  

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

4 Consumption Ratios of Fuel, 2006; 4 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3 7.7 3.6 500-999 2,328.9 10.6 4.5 1000 and Over 1,415.5 5.7 2.5 Total 1,278.4 6.9 3.1 311 FOOD Employment Size Under 50 1,266.8 8.3 3.2 50-99 1,587.4 9.3 3.6 100-249 931.9 3.6 1.5 250-499 1,313.1 6.3

86

Level: National Data; Row: Values of Shipments within NAICS Codes;  

Gasoline and Diesel Fuel Update (EIA)

3 Consumption Ratios of Fuel, 2010; 3 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 405.4 4.0 2.1 20-49 631.3 4.7 2.2 50-99 832.0 4.9 2.3 100-249 1,313.4 6.2 2.8 250-499 1,905.2 7.4 3.6 500 and Over 4,225.4 7.5 3.1 Total 1,449.6 6.4 2.8 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 576.6 5.9

87

Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;  

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

Coke and Shipments Net Residual Distillate Natural LPG and Coal Breeze of Energy Sources NAICS Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Gas(e) NGL(f) (million (million Other(g) Produced Onsite(h) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) short tons) short tons) (trillion Btu) (trillion Btu) Total United States RSE Column Factors: 0.9 1 1.2 1.8 1 1.6 0.8 0.9 1.2 0.4 311 Food 1,123 67,521 2 3 567 1 8 * 89 0 311221 Wet Corn Milling 217 6,851 * * 59 * 5 0 11 0 31131 Sugar 112 725 * * 22 * 2 * 46 0 311421 Fruit and Vegetable Canning 47 1,960 * * 35 * 0 0 1 0 312 Beverage and Tobacco Products 105 7,639 * * 45 * 1 0 11 0 3121 Beverages 85 6,426 * * 41 * * 0 10 0 3122 Tobacco 20 1,213 * * 4 * * 0 1 0 313 Textile Mills 207 25,271 1 * 73 * 1 0 15 0 314

88

"NAICS",,"per Employee","of Value Added","of Shipments" "Code...  

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

Errors for Table 6.3;" " Unit: Percents." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of...

89

"NAICS",,"per Employee","of Value Added","of Shipments" "Code...  

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

Errors for Table 6.4;" " Unit: Percents." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of...

90

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

N7.1. Consumption Ratios of Fuel, 1998;" N7.1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

91

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)","Row"

92

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

1 Consumption Ratios of Fuel, 2002;" 1 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

93

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

94

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy",,"Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

95

" Level: National Data;" " Row: NAICS Codes;"  

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

11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" 11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)"

96

" Level: National Data;" " Row: NAICS Codes;"  

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

7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " 7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Electricity Receipts(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Natural","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Receipts(d)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(e)"," "

97

" Level: National Data;" " Row: NAICS Codes;"  

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

2 Reasons that Made Coal Unswitchable, 2006;" 2 Reasons that Made Coal Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million short tons." ,,,,"Reasons that Made Coal Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Coal Consumed ","Unswitchable","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

98

" Row: Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in Energy-Management Activity, 2002;" 1 Number of Establishments by Participation in Energy-Management Activity, 2002;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Financial Support for Activity;" " Unit: Establishment Counts." " "," "," ",,,,," " " "," ",,," Source of Financial Support for Activity",,,"RSE" "NAICS"," "," ",,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Other","Don't Know","Factors"

99

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

N4.1. Offsite-Produced Fuel Consumption, 1998;" N4.1. Offsite-Produced Fuel Consumption, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

100

" Level: National Data;" " Row: NAICS Codes;"  

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

1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" 1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)","Factors"

Note: This page contains sample records for the topic "naics net demand" 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

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

102

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)"

103

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)","Factors"

104

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

1 Consumption Ratios of Fuel, 2006;" 1 Consumption Ratios of Fuel, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" 311,"Food",879.8,5,2.2 3112," Grain and Oilseed Milling",6416.6,17.5,5.7

105

" Row: General Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" 1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" " Level: National Data; " " Row: General Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Assistance;" " Unit: Establishment Counts." ,,,," Source of Assistance" "NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Utlity/Energy Suppler","Product/Service Provider","Federal Program","State/Local Program","Don't Know" ,,"Total United States"

106

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Residual Fuel Oil(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

107

" Level: National Data;" " Row: NAICS Codes;"  

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

4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" 4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million barrels." ,,,,"Reasons that Made Distillate Fuel Oil Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Distillate Fuel Oil","Unswitchable Distillate","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

108

" Row: Energy-Management Activities within NAICS Codes;"  

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

C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and General Amounts of Establishment-Paid Activity Cost;" " Unit: Establishment Counts." " "," "," ",,,,,," " " "," ",,,"General","Amount of ","Establishment-Paid","Activity Cost","RSE" "NAICS"," "," ",,,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","All","Some","None","Don't Know","Factors"

109

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Natural Gas(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(f)"

110

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

111

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Residual Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

112

" Row: Industry-Specific Technologies within Selected NAICS Codes;"  

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

3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" 3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" " Level: National Data; " " Row: Industry-Specific Technologies within Selected NAICS Codes;" " Column: Usage;" " Unit: Establishment Counts." ,,,,,"RSE" "NAICS"," ",,,,"Row" "Code(a)","Industry-Specific Technology","In Use(b)","Not in Use","Don't Know","Factors" ,,"Total United States" ,"RSE Column Factors:",1.3,0.5,1.5 , 311,"FOOD" ," Infrared Heating",762,13727,2064,1.8 ," Microwave Drying",270,14143,2140,2.5

113

311221," Wet Corn Milling",0,0,0,0,0  

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

1.1 Relative Standard Errors for Table 11.1;" " Unit: Percents." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for"...

114

Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code 0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 NAICS Code June 30, 2013 March 31, 2013 June 30, 2012 Percent Change (June 30) 2013 versus 2012 311 Food Manufacturing 875 926 1,015 -13.9 312 Beverage and Tobacco Product Mfg. 26 17 19 35.8 313 Textile Mills 22 22 25 -13.9 315 Apparel Manufacturing w w w w 321 Wood Product Manufacturing w w w w 322 Paper Manufacturing 570 583

115

Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 2,256 2,561 1,864 4,817 4,343 10.9 312 Beverage and Tobacco Product Mfg. 38 50 48 88 95 -7.7 313 Textile Mills 31 29 21 60 59 2.2 315 Apparel Manufacturing w w w w w w 321 Wood Product Manufacturing w w w

116

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,," ",," " " "," ",,,,,,,,,,,,,,,,,"RSE" "NAICS"," ",,,,,,,,,,,,,,,,,"Row"

117

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Wind Solar Home Weatherization Water Program Info State New York Program Type Net Metering Provider New York State Department of Public Service Note: In October 2012 the New York Public Service Commission (PSC) issued an order directing Central Hudson Gas and Electric to file net metering tariff revisions tripling the aggregate net metering cap for most systems from 1% of 2005 peak demand (12 MW) to 3% of 2005 peak demand (36 MW). The PSC issued another order in June 2013 to raise the aggregate net metering cap

118

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;  

Gasoline and Diesel Fuel Update (EIA)

Next MECS will be fielded in 2015 Table 6.1 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 871.7 4.3 1.8 3112 Grain and Oilseed Milling 6,239.5 10.5 3.6 311221 Wet Corn Milling 28,965.0 27.1 12.6 31131 Sugar Manufacturing 7,755.9 32.6 13.4 3114 Fruit and Vegetable Preserving and Specialty Foods 861.3 4.8 2.2 3115 Dairy Products 854.8 3.5 1.1 3116 Animal Slaughtering and Processing 442.9 3.5 1.2 312

119

Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 111 86 25 3112 Grain and Oilseed Milling 72 51 21 311221 Wet Corn Milling 55 42 13 31131 Sugar Manufacturing 7 3 4 3114 Fruit and Vegetable Preserving and Specialty Foods 13 13 0 3115 Dairy Products 0 0 0 3116 Animal Slaughtering and Processing 0 0 0 312 Beverage and Tobacco Products * * 0 3121 Beverages

120

Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components;  

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

3 Electricity: Components of Onsite Generation, 2006; 3 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood NAICS Total Onsite and Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States 311 Food 4,563 4,249 * 313 3112 Grain and Oilseed Milling 2,845 2,819 0 27 311221 Wet Corn Milling 2,396 2,370 0 27 31131 Sugar Manufacturing 951 951 0 * 3114 Fruit and Vegetable Preserving and Specialty Foods 268 268 0 * 3115 Dairy Products 44 31 * Q 3116 Animal Slaughtering and Processing 17 0 0 17 312 Beverage and Tobacco Products 659 623 Q * 3121 Beverages 587 551 Q * 3122 Tobacco 72

Note: This page contains sample records for the topic "naics net demand" 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

Net metering programs  

Science Conference Proceedings (OSTI)

There has been a recent surge of interest from the renewable energy industry and environmental groups in net metering. The reason for this interest is that net metering is a simple, low-cost, and easily administered method to encourage direct customer investment in renewable energy technologies. The renewable energy industry supports net metering because it removes an economic disincentive for potential customers by increasing the value of the electricity generated by renewable energy technologies. Environmental groups support net metering because it promotes clean energy production. The concept of net metering programs is to allow the electric meters of customers with generating facilities to turn backwards when their generators are producing more energy than the customers` demand. Net metering allows customers to use their generation to offset their consumption over the entire billing period, not just instantaneously. This offset would enable customers with generating facilities to receive retail prices for more of the electricity they generate. Without a net metering program, utilities usually install a second meter to measure any electricity that flows back to the utility grid and purchase it at a rate that is much lower than the retail prices. There are various net metering programs in the country. Most are available to customer-owned small generating facilities only, some further restrict the eligibility to renewable energy technologies. This Topical Issues Brief discusses how these net metering programs have been implemented by different utilities an states, what the rationales are behind may net metering programs, and what the potential impact of net metering may be on the deployment of renewable energy technologies.

Wan, Y H

1996-12-01T23:59:59.000Z

122

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Table 7.1 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace Coke Oven (excluding or LPG and Natural Gas

123

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Next MECS will be conducted in 2010 Table 7.2 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace

124

Demand Response  

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

Peak load diagram Demand Response Demand Response (DR) is a set of time-dependent activities that reduce or shift electricity use to improve electric grid reliability, manage...

125

Demand Response  

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

Peak load diagram Demand Response Demand response (DR) is a set of time-dependent activities that reduce or shift electricity use to improve electric grid reliability, manage...

126

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6 18.2 31131 Sugar Manufacturing 6,629.2 31.3 12.2 3114 Fruit and Vegetable Preserving and Specialty Foods 1,075.3 5.5 2.8 3115 Dairy Products 956.3 4.3 1.3 3116 Animal Slaughtering and Processing 493.8 4.4 1.6 312

127

Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources  

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,109 326 1,462 11,395 2,920 67 13 1,149 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 144 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 17 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 35 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 95

128

Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2006; 3 Number of Establishments by Usage of Cogeneration Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Subsector and Industry Establishments(b) in Use(c) In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know Total United States 311 Food 14,128 297 99 11,338 2,691 51 11,217 2,860 10 11,333 2,786 164 11,129 2,836 9 11,235 2,884 3112 Grain and Oilseed Milling 580 53 Q 499 38 5 532 42 W 533 W Q 533 44 5 530 45 311221 Wet Corn Milling 47 11 W 35 W W 43 W W 39 W 0 44 3 0 41 6 31131 Sugar Manufacturing

129

Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590 9,609 2,929 6,260 5,014 2,854 422 9,945 3,762 3112 Grain and Oilseed Milling 580 59 475 46 300 236 Q 154 398 28 446 95 Q 45 442 92 311221 Wet Corn Milling 47 9 34 4 36 W W 27 15 6 38 3 6 8 24 16 31131 Sugar Manufacturing 77

130

Table 28. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 28. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 2,214 2,356 1,994 4,570 4,353 5.0 312 Beverage and Tobacco Product Mfg. 48 37 53 85 90 -5.6 313 Textile Mills 31 29 22 59 63 -6.1 315 Apparel Manufacturing w w w w w w 321 Wood Product Manufacturing w w w w w w 322 Paper Manufacturing

131

Net Metering  

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

Montana's net-metering law, enacted in July 1999, applies to all customers of investor-owned utilities. Systems up to 50 kilowatts (kW) in capacity that generate electricity using solar, wind or...

132

Net Metering  

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

In March 2008, the Florida Public Service Commission (PSC) adopted rules for net metering and interconnection for renewable-energy systems up to two megawatts (MW) in capacity. The PSC rules apply...

133

Net Metering  

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

[http://nebraskalegislature.gov/FloorDocs/101/PDF/Final/LB436.pdf LB 436], signed in May 2009, established statewide net metering rules for all electric utilities in Nebraska. The rules apply to...

134

Addressing Energy Demand through Demand Response: International...  

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

Energy Demand through Demand Response: International Experiences and Practices Title Addressing Energy Demand through Demand Response: International Experiences and Practices...

135

Addressing Energy Demand through Demand Response: International...  

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

Addressing Energy Demand through Demand Response: International Experiences and Practices Title Addressing Energy Demand through Demand Response: International Experiences and...

136

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,,," " "NAICS" "Code(a)","Subsector and Industry","Establishments(b)","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know"

137

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" 1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,," ",," " " "," ","Computer Control","of Building-Wide","Environment(b)","or Major","Energy-Using","Equipment(c)","Waste","Heat","Recovery","Adjustable -","Speed","Motors","RSE"

138

EnergyNet Student Home Page  

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

Activating EnergyNet<2> Saving Energy Matters Now and in the Future Remember this past July and how hot it was . . . the electric company had problems keeping up with the demand...

139

Designing a Demand Response Business Network for California  

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

Designing a Demand Response Business Network for California Speaker(s): Ali Vojdani Date: March 8, 2005 - 12:00pm Location: Bldg. 90 The Demand Response Business Network (DRBizNet)...

140

Propane Demand is Highly Seasonal, But Fresh Supply is Not  

Gasoline and Diesel Fuel Update (EIA)

4 Notes: Propane, like heating oil, has a highly seasonal demand pattern. Demand increases about 50% from its low point to its peak. Production and net imports, on the other hand,...

Note: This page contains sample records for the topic "naics net demand" 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

Current experience with net metering programs  

SciTech Connect

Net metering is a utility metering practice that encourages direct consumer investment in renewable energy technologies. Laws and regulations that establish net metering practices now exist in 22 states. Net metering enables electricity customers with small generators to receive a higher value for some or all of the electricity they generate. This is accomplished by allowing the electric meters of such customers to turn backward when there is more generation than demand. It effectively allows customers with small generators to use the electricity they generate to offset their usage over an entire billing period. This paper reports on the current status of net metering laws and rules in the US. In particular, the extent of the net metering authority in each state is highlighted. Differing requirements for grid-interconnection have introduced significant variations in the actual implementation of net metering programs. Interconnection requirements from specific utilities are collected to understand how net metering programs have been affected.

Wan, Y.H.; Green, H.J.

1998-05-01T23:59:59.000Z

142

"NAICS",,"per Employee","of Value Added","of Shipments"  

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

1 Relative Standard Errors for Table 6.1;" 1 Relative Standard Errors for Table 6.1;" " Unit: Percents." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" 311,"Food",3.8,4.3,4.1 3112," Grain and Oilseed Milling",8.2,5.8,5.6 311221," Wet Corn Milling",0,0,0 31131," Sugar Manufacturing",0,0,0 3114," Fruit and Vegetable Preserving and Specialty Foods ",7.3,6.7,6.2

143

" Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"  

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

8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" 8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components" ,,,,"Electricity","Electricity",,,"Natural Gas","Natural Gas",,,"Steam","Steam" " "," ",,,"from Only","from Both",,,"from Only","from Both",,,"from Only","from Both"," ",," "

144

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

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

145

Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 51.17 49.59 50.96 50.35 50.94 -1.2 312 Beverage and Tobacco Product Mfg. 111.56 115.95 113.47 113.49 117.55 -3.5 313 Textile Mills 115.95 118.96 127.41 117.40 128.07 -8.3 315 Apparel Manufacturing

146

Definition: Peak Demand | Open Energy Information  

Open Energy Info (EERE)

Peak Demand Peak Demand Jump to: navigation, search Dictionary.png Peak Demand The highest hourly integrated Net Energy For Load within a Balancing Authority Area occurring within a given period (e.g., day, month, season, or year)., The highest instantaneous demand within the Balancing Authority Area.[1] View on Wikipedia Wikipedia Definition Peak demand is used to refer to a historically high point in the sales record of a particular product. In terms of energy use, peak demand describes a period of strong consumer demand. Related Terms Balancing Authority Area, energy, demand, balancing authority, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inli LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ne Glossary Definition Retrieved from

147

Net Trans - TMS  

Science Conference Proceedings (OSTI)

Net Trans ... RESERVE A CLASSIFIED · SUBSCRIPTIONS ... "Italia Online Offers Convenient USENET Access" (Net Trans), J.J. Robinson, March 1998, p. 11.

148

Demand Response  

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

Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE identified four areas of interest: 1. Transmission Reliability 2. Demand Side Issues 3. Water and Energy 4. Other Topics * Argonne, NREL, and ORNL support for EIPC/SSC/EISPC and the EISPC Energy Zone is funded through Area 4. * Area 2 covers LBNL and NREL work in WECC and

149

A Structural Model of Demand for Apprentices ?  

E-Print Network (OSTI)

It is a widely held opinion that apprenticeship training represents a net investment for training firms, and that therefore firms only train if they have the possibility to recoup these investments after the training period. A recent study using a new firm-level dataset for Switzerland showed, however, that for 60 percent of the firms, the apprenticeship training itself does not result in net cost. In this context it seems important to examine the question whether the potential net cost of training (during the training period) are a major determinant for the demand for apprentices. Different count data models, in particular hurdle models, are used to estimate the effect of net cost on the demand for apprentices. The results show that the net cost have a significant impact on the training decision but no significant influence on the demand for apprentices, once the firm has decided to train. For policy purposes, these results indicate that subsidies for firms that already train apprentices would not boost the demand for apprentices. JEL Classification: J24, C25

Samuel Mühlemann; Jürg Schweri; Rainer Winkelmann; Stefan C. Wolter

2005-01-01T23:59:59.000Z

150

High Temperatures & Electricity Demand  

E-Print Network (OSTI)

High Temperatures & Electricity Demand An Assessment of Supply Adequacy in California Trends.......................................................................................................1 HIGH TEMPERATURES AND ELECTRICITY DEMAND.....................................................................................................................7 SECTION I: HIGH TEMPERATURES AND ELECTRICITY DEMAND ..........................9 BACKGROUND

151

Avista Utilities- Net Metering  

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

Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has developed a net...

152

Net Zero Energy Communities  

Science Conference Proceedings (OSTI)

... Indianapolis, IN Transportation CO2 Per Acre Transportation CO2 Per Household Net Zero Energy Communities Page 18. Housing ...

2012-10-26T23:59:59.000Z

153

NIST Net usage instructions  

Science Conference Proceedings (OSTI)

NIST. How to use the emulation package. Before running NIST Net, the kernel emulator module must be installed through ...

2013-09-12T23:59:59.000Z

154

Advanced Demand Responsive Lighting  

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

Demand Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center Technical Advisory Group Meeting August 31, 2007 10:30 AM - Noon Meeting Agenda * Introductions (10 minutes) * Main Presentation (~ 1 hour) * Questions, comments from panel (15 minutes) Project History * Lighting Scoping Study (completed January 2007) - Identified potential for energy and demand savings using demand responsive lighting systems - Importance of dimming - New wireless controls technologies * Advanced Demand Responsive Lighting (commenced March 2007) Objectives * Provide up-to-date information on the reliability, predictability of dimmable lighting as a demand resource under realistic operating load conditions * Identify potential negative impacts of DR lighting on lighting quality Potential of Demand Responsive Lighting Control

155

Transportation Demand This  

Annual Energy Outlook 2012 (EIA)

69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Transportation Demand Module The NEMS Transportation Demand Module estimates...

156

Demand Response Spinning Reserve  

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

Demand Response Spinning Reserve Title Demand Response Spinning Reserve Publication Type Report Year of Publication 2007 Authors Eto, Joseph H., Janine Nelson-Hoffman, Carlos...

157

Addressing Energy Demand  

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

Addressing Energy Demand through Demand Response: International Experiences and Practices Bo Shen, Girish Ghatikar, Chun Chun Ni, and Junqiao Dudley Environmental Energy...

158

Propane Sector Demand Shares  

U.S. Energy Information Administration (EIA)

... agricultural demand does not impact regional propane markets except when unusually high and late demand for propane for crop drying combines with early cold ...

159

Postcards from the Net  

Science Conference Proceedings (OSTI)

From the Publisher:Postcards from the Net is a travel book like no other. Fast and funny, it's a thirty-countries-in-thirty-days travel through the weird, wired and wonderful parallel universe of the World Wide Web. Postcards from the Net is not the ...

Jon Casimir

1997-02-01T23:59:59.000Z

160

Objective Bayesian nets  

E-Print Network (OSTI)

I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to satisfy the axioms of probability, (ii) ought to satisfy constraints imposed by background knowledge, and (iii) should otherwise be as non-committal as possible (i.e. have maximum entropy). Bayesian nets offer an efficient way of representing and updating probability functions. An objective Bayesian net is a Bayesian net representation of the maximum entropy probability function. I show how objective Bayesian nets can be constructed, updated and combined, and how they can deal with cases in which the agent’s background knowledge includes knowledge of qualitative influence relationships, e.g. causal influences. I then sketch a number of applications of the resulting formalism, showing how it can shed light on probability logic, causal modelling, logical reasoning, semantic reasoning, argumentation

Jon Williamson

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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

Demand Response and Open Automated Demand Response Opportunities...  

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

Demand Response and Open Automated Demand Response Opportunities for Data Centers Title Demand Response and Open Automated Demand Response Opportunities for Data Centers...

162

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

of integrating demand response and energy efficiencyand D. Kathan (2009), Demand Response in U.S. ElectricityFRAMEWORKS THAT PROMOTE DEMAND RESPONSE 3.1. Demand Response

Shen, Bo

2013-01-01T23:59:59.000Z

163

Demand Trading: Building Liquidity  

Science Conference Proceedings (OSTI)

Demand trading holds substantial promise as a mechanism for efficiently integrating demand-response resources into regional power markets. However, regulatory uncertainty, the lack of proper price signals, limited progress toward standardization, problems in supply-side markets, and other factors have produced illiquidity in demand-trading markets and stalled the expansion of demand-response resources. This report shows how key obstacles to demand trading can be overcome, including how to remove the unce...

2002-11-27T23:59:59.000Z

164

Residential sector: the demand for energy services  

Science Conference Proceedings (OSTI)

The purpose of this report is to project the demand for residential services, and, thereby, the demand for energy into the future. The service demands which best represent a complete breakdown of residential energy consumption is identified and estimates of the amount of energy, by fuel type, used to satisfy each service demand for an initial base year (1978) are detailed. These estimates are reported for both gross (or input) energy use and net or useful energy use, in the residential sector. The various factors which affect the consumption level for each type of energy and each identified service demand are discussed. These factors include number of households, appliance penetration, choice of fuel type, technical conversion efficiency of energy using devices, and relative energy efficiency of the building shell (extent of insulation, resistance to air infiltration, etc.). These factors are discussed relative to both the present and expected future values, for the purpose of projections. The importance of the housing stock to service demand estimation and projection and trends in housing in Illinois are discussed. How the housing stock is projected based on population and household projections is explained. The housing projections to the year 2000 are detailed. The projections of energy consumption by service demand and fuel type are contrasted with the various energy demand projections in Illinois Energy Consumption Trends: 1960 to 2000 and explains how and why the two approaches differ. (MCW)

Not Available

1981-01-01T23:59:59.000Z

165

Energy Conservation Through Demand-Side Management (DSM): A Methodology to Characterize Energy Use Among commercial Market Segments  

E-Print Network (OSTI)

Managing energy demand can be beneficial for both the energy consumer and the energy supplier. By reducing energy use, the consumer reduces operating costs and improves production efficiency and competitiveness. Similarly, the supplier may reduce the need for costly capacity expansion and wholesale power purchasing, especially if energy reductions occur during peak loading conditions. Energy reductions may also lessen global climate change and reduce many other consequences of fossil-fuel energy use. The following research highlights a methodology to characterize energy use and optimize a DSM program for different types of commercial buildings. Utilizing publicly available records, such as utility billing data and property tax records, the diverse commercial building market was characterized. The commercial building types were matched to relevant submarkets of the North American Industry Classification System (NAICS). These sources were combined to prioritize building type submarket energy use intensity (kWh/sf/yr), load factor and many other energy use characteristics for each market segment. From this information, lower tier performers in each NAICS submarket can be identified and appropriate DSM alternatives selected specific to each.

Grosskopf, K. R.; Oppenheim, P.; Barclay, D

2007-01-01T23:59:59.000Z

166

Net Metering | Department of Energy  

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

Net Metering Net Metering June 25, 2014 11:00AM MDT Attendees will become familiar with the services provided by utility net metering and their importance in making projects...

167

Net Primary Production  

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

8 study sites, plus a worldwide data set, have been added to the global terrestrial Net Primary Production (NPP) reference database. The NPP database has been compiled by Dick...

168

QuarkNet Stories  

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

Technical Workforce Centers at 53 universities and labs 18 HEP experiments 475 high schools in 28 states 60 ,000 students per year The focus of QuarkNet is to involve teachers...

169

American Samoa- Net Metering  

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

The American Samoa Power Authority (ASPA), a government-owned electric utility, is the only power provider in this U.S. territory of almost 70,000 people. ASPA's "Interconnection and Net Energy...

170

QuarkNet Information  

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

Beginning its 17th year, QuarkNet involves about 100,000 students from 500+ US high schools with opportunities to: Analyze real data online. Collaborate with students worldwide....

171

Ashland Electric- Net Metering  

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

In 1996, Ashland adopted a net-metering program that includes simple interconnection guidelines. The program encourages the adoption of renewable-energy systems by committing the city to purchase,...

172

Mass Market Demand Response  

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

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

173

Demand Impacted by Weather  

U.S. Energy Information Administration (EIA)

When you look at demand, it’s also interesting to note the weather. The weather has a big impact on the demand of heating fuels, if it’s cold, consumers will use ...

174

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Energy Sources Solar Home Weatherization Wind Program Info State Massachusetts Program Type Net Metering Provider Department of Public Utilities In Massachusetts, the state's investor-owned utilities must offer net metering. Municipal utilities are not obligated to offer net metering, but they may do so voluntarily. (There are no electric cooperatives in Massachusetts.) Class I, Class II, Class III net metering facilities In Massachusetts, there are several categories of net-metering facilities.

175

From String Nets to Nonabelions  

E-Print Network (OSTI)

Les Houches 1988, Fields, Strings and Critical Phenomena.take: ?rst, cut the degrees of freedom to string nets, thenmake the string nets ?uctuate appropriately to gain isotopy

Fidkowski, Lukasz; Freedman, Michael; Nayak, Chetan; Walker, Kevin; Wang, Zhenghan

2009-01-01T23:59:59.000Z

176

Demand Trading Toolkit  

Science Conference Proceedings (OSTI)

Download report 1006017 for FREE. The global movement toward competitive markets is paving the way for a variety of market mechanisms that promise to increase market efficiency and expand customer choice options. Demand trading offers customers, energy service providers, and other participants in power markets the opportunity to buy and sell demand-response resources, just as they now buy and sell blocks of power. EPRI's Demand Trading Toolkit (DTT) describes the principles and practice of demand trading...

2001-12-10T23:59:59.000Z

177

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government General Public/Consumer Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Wind Solar Home Weatherization Program Info State Arkansas Program Type Net Metering Provider Arkansas Economic Development Commission In April 2001, Arkansas enacted legislation (HB 2325) directing the Arkansas Public Service Commission (PSC) to establish net-metering rules for certain renewable-energy systems.* The PSC approved final rules for net metering in July 2002. Subsequent legislation enacted in April 2007 (HB 2334) expanded the availability of net metering; increased the capacity

178

Demand Response and Open Automated Demand Response Opportunities...  

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

Response and Open Automated Demand Response Opportunities for Data Centers Title Demand Response and Open Automated Demand Response Opportunities for Data Centers Publication Type...

179

Electrical Demand Management  

E-Print Network (OSTI)

The Demand Management Plan set forth in this paper has proven to be a viable action to reduce a 3 million per year electric bill at the Columbus Works location of Western Electric. Measures are outlined which have reduced the peak demand 5% below the previous year's level and yielded $150,000 annual savings. These measures include rescheduling of selected operations and demand limiting techniques such as fuel switching to alternate power sources during periods of high peak demand. For example, by rescheduling the startup of five heat treat annealing ovens to second shift, 950 kW of load was shifted off peak. Also, retired, non-productive steam turbine chillers and a diesel air compressor have been effectively operated to displaced 1330 kW during peak periods each day. Installed metering devices have enabled the recognition of critical demand periods. The paper concludes with a brief look at future plans and long range objectives of the Demand Management Plan.

Fetters, J. L.; Teets, S. J.

1983-01-01T23:59:59.000Z

180

Demand Dispatch-Intelligent  

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

and energy efficiency throughout the value chain resulting in the most economical price for electricity. Having adequate quantities and capacities of demand resources is a...

Note: This page contains sample records for the topic "naics net demand" 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

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

xxxv Option Value of Electricity Demand Response, Osmanelasticity in aggregate electricity demand. With these newii) reduction in electricity demand during peak periods (

Heffner, Grayson

2010-01-01T23:59:59.000Z

182

U.S. Propane Demand  

U.S. Energy Information Administration (EIA)

Demand is higher in 1999 due to higher petrochemical demand and a strong economy. We are also seeing strong demand in the first quarter of 2000; however, ...

183

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

184

Demand Response Spinning Reserve Demonstration  

E-Print Network (OSTI)

F) Enhanced ACP Date RAA ACP Demand Response – SpinningReserve Demonstration Demand Response – Spinning Reservesupply spinning reserve. Demand Response – Spinning Reserve

2007-01-01T23:59:59.000Z

185

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Wind Solar Home Weatherization Program Info State New Mexico Program Type Net Metering Provider New Mexico Public Regulation Commission Net metering is available to all "qualifying facilities" (QFs), as defined by the federal Public Utility Regulatory Policies Act of 1978 (PURPA)*, which pertains to systems up to 80 megawatts (MW) in capacity. Previously, net metering in New Mexico was limited to systems up to 10 kilowatts (kW) in capacity. Net-metered customers are credited or paid for any monthly net excess generation (NEG) at the utility's avoided-cost rate. If a customer has net

186

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Fed. Government Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State District of Columbia Program Type Net Metering Provider Washington State University Washington's net-metering law applies to systems up to 100 kilowatts (kW) in capacity that generate electricity using solar, wind, hydro, biogas from animal waste, or combined heat and power technologies (including fuel cells). All customer classes are eligible, and all utilities -- including municipal utilities and electric cooperatives -- must offer net metering.

187

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network (OSTI)

CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

188

SBOT NAICS Series  

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

41222 41222 Boat Dealers EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov STRATEGIC PETROLEUM RESERVE Sally Leingang (504) 734-4362 sally.leingang@spr.doe.gov 441229 All Other Motor Vehicle Dealers CARLSBAD FIELD OFFICE Roland Taylor roland.taylor@wipp.ws CHICAGO OPERATIONS Larry Thompson (630) 252-2711 larry.thompson@ch.doe.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov GOLDEN FIELD OFFICE Karen Downs (720) 356-1269 karen.downs@go.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov KANSAS CITY PLANT C. J. Warrick (816) 997-2874 cwarrick@kcp.com LOS ALAMOS LAB

189

SBOT NAICS Series  

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

53210 53210 Office Supplies and Stationery Stores BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov KANSAS CITY PLANT C. J. Warrick (816) 997-2874 cwarrick@kcp.com NEVADA SITE OFFICE Anita Ross (702) 295-5690 rossal@nv.doe.gov NEVADA TEST SITE Trudy Rocha (702) 295-0557 rocha@nv.doe.gov NEW BRUNSWICK LAB NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov OHIO FIELD OFFICE Pam Thompson (859) 219-4056 pam.thompson@lex.doe.gov PANTEX PLANT Brad Beck (806) 477-6192 bbrack@pantex.com PORTSMOUTH PADUCAH OFFICE Pam Thompson (859) 219-4056 pam.thompson@lex.doe.gov PRINCETON PLASMA LAB Arlene White (609) 243-2080

190

SBOT NAICS Series  

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

41219 41219 Other Accounting Services BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NEVADA SITE OFFICE Anita Ross (702) 295-5690 rossal@nv.doe.gov NEVADA TEST SITE Trudy Rocha (702) 295-0557 rocha@nv.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov OHIO FIELD OFFICE Pam Thompson (859) 219-4056 pam.thompson@lex.doe.gov PORTSMOUTH PADUCAH OFFICE Pam Thompson (859) 219-4056 pam.thompson@lex.doe.gov ROCKY MOUNTAIN OILFIELD CENTER Jenny Krom (307) 233-4818 jenny.krom@rmotc.doe.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN Gary Bridges (918) 595-6671

191

SBOT NAICS Series  

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

11410 11410 Business and Secretarial Schools EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov 611420 Computer Training ARGONNE LAB Karl Duke (630) 252-8842 sblo@anl.gov BROOKHAVEN LAB Jill Clough-Johnston (631) 344-3173 clough@bnl.gov CARLSBAD FIELD OFFICE Roland Taylor roland.taylor@wipp.ws CHICAGO OPERATIONS Larry Thompson (630) 252-2711 larry.thompson@ch.doe.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov FEMI LAB Joe Collins (630) 840-4169 jcollins@fnal.gov GOLDEN FIELD OFFICE Karen Downs (720) 356-1269 karen.downs@go.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov

192

SBOT NAICS Series  

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

621420 621420 Outpatient Mental Health and Substance Abuse Centers EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov KANSAS CITY PLANT C. J. Warrick (816) 997-2874 cwarrick@kcp.com NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov PANTEX PLANT Brad Beck (806) 477-6192 bbrack@pantex.com 621493 Freestanding Ambulatory Surgical and Emergency Centers EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov KANSAS CITY PLANT C. J. Warrick (816) 997-2874 cwarrick@kcp.com NEVADA SITE OFFICE Anita Ross (702) 295-5690 rossal@nv.doe.gov NEVADA TEST SITE Trudy Rocha (702) 295-0557 rocha@nv.doe.gov

193

SBOT NAICS Series  

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

21213 21213 Engineered Wood Member (except Truss) Manufacturing BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN Gary Bridges (918) 595-6671 gary.bridges@swpa.gov WESTERN POWER ADMIN Cheryl Drake (720) 962-7154 drake@wapa.gov 321920 Wood Container and Pallet manufacturing BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512

194

SBOT NAICS Series  

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

21119 21119 Other Electric Power Generation Y-12 SITE Gloria Mencer (865) 576-2090 mencergd@y12.doe.gov 221121 Electric Bulk Power Transmission and Control BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN Gary Bridges (918) 595-6671 gary.bridges@swpa.gov WESTERN POWER ADMIN Cheryl Drake (720) 962-7154 drake@wapa.gov 221122 Electric Power Distribution BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN

195

SBOT NAICS Series  

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

91110 91110 Postal Service EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov KANSAS CITY PLANT C. J. Warrick (816) 997-2874 cwarrick@kcp.com NEVADA SITE OFFICE Anita Ross (702) 295-5690 rossal@nv.doe.gov NEVADA TEST SITE Trudy Rocha (702) 295-0557 rocha@nv.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov PANTEX PLANT Brad Beck (806) 477-6192 bbrack@pantex.com RIVER PROTECTION Susan Johnson (509) 373-7914 susan_c_johnson@orp.doe.gov STRATEGIC PETROLEUM RESERVE Sally Leingang (504) 734-4362 sally.leingang@spr.doe.gov 492110 Couriers and Express Delivery Services EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen

196

SBOT NAICS Series  

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

11110 11110 Newspaper Publishers EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov 511120 Periodical Publishers AMES LAB Lisa Rodgers (515) 294-4191 rodgers@ameslab.gov ARGONNE LAB Karl Duke (630) 252-8842 sblo@anl.gov BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov BROOKHAVEN LAB Jill Clough-Johnston (631) 344-3173 clough@bnl.gov CARLSBAD FIELD OFFICE Roland Taylor roland.taylor@wipp.ws CHICAGO OPERATIONS Larry Thompson (630) 252-2711 larry.thompson@ch.doe.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov FEMI LAB Joe Collins (630) 840-4169 jcollins@fnal.gov GOLDEN FIELD OFFICE

197

SBOT NAICS Series  

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

23110 23110 Automobile and Other Motor Vehicle Merchant Wholesalers BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NEVADA SITE OFFICE Anita Ross (702) 295-5690 rossal@nv.doe.gov NEVADA TEST SITE Trudy Rocha (702) 295-0557 rocha@nv.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov RIVER PROTECTION Susan Johnson (509) 373-7914 susan_c_johnson@orp.doe.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN Gary Bridges (918) 595-6671 gary.bridges@swpa.gov WESTERN POWER ADMIN Cheryl Drake (720) 962-7154 drake@wapa.gov 423120 Motor Vehicle Supplies and New Parts Merchant Wholesalers

198

SBOT NAICS Series  

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

31112 31112 Electrometallurgical Ferroalloy Product Manufacturing EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov PANTEX PLANT Brad Beck (806) 477-6192 bbrack@pantex.com 331210 Iron and Steel Pipe and Tube Manufacturing from Purchased Steel EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov PANTEX PLANT Brad Beck (806) 477-6192 bbrack@pantex.com RIVER PROTECTION Susan Johnson (509) 373-7914 susan_c_johnson@orp.doe.gov 331221 Rolled Steel Shape Manufacturing

199

SBOT NAICS Series  

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

61110 61110 Office Administrative Services BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov KANSAS CITY PLANT C. J. Warrick (816) 997-2874 cwarrick@kcp.com NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov OHIO FIELD OFFICE Pam Thompson (859) 219-4056 pam.thompson@lex.doe.gov PORTSMOUTH PADUCAH OFFICE Pam Thompson (859) 219-4056 pam.thompson@lex.doe.gov RIVER PROTECTION Susan Johnson (509) 373-7914 susan_c_johnson@orp.doe.gov ROCKY FLATS ROCKY MOUNTAIN OILFIELD CENTER Jenny Krom (307) 233-4818 jenny.krom@rmotc.doe.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN

200

SBOT NAICS Series  

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

31110 31110 Lessors of Residential Buildings and Dwellings CARLSBAD FIELD OFFICE Roland Taylor roland.taylor@wipp.ws CHICAGO OPERATIONS Larry Thompson (630) 252-2711 larry.thompson@ch.doe.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov GOLDEN FIELD OFFICE Karen Downs (720) 356-1269 karen.downs@go.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov IDAHO LAB Stacey Francis (208) 526-8564 stacey.francis@inl.gov IDAHO OPERATIONS Maria Mitchell (208) 526-8600 mitchemm@id.doe.gov LOS ALAMOS LAB Dennis Roybal (505) 667-4419 dr@lanl.gov NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NNSA SERVICE CENTER

Note: This page contains sample records for the topic "naics net demand" 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

SBOT NAICS Series  

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

113110 Timber tract operations 113110 Timber tract operations BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN Gary Bridges (918) 595-6671 gary.bridges@swpa.gov WESTERN POWER ADMIN Cheryl Drake (720) 962-7154 drake@wapa.gov 113310 Cutting and transporting timber BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov SOUTHEASTERN POWER ADMIN Ann Craft (706) 213-3823 annc@sepa.doe.gov SOUTHWESTERN POWER ADMIN

202

SBOT NAICS Series  

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

83111 83111 Deep Sea Freight Transportation EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov RIVER PROTECTION Susan Johnson (509) 373-7914 susan_c_johnson@orp.doe.gov 483211 Inland Water Freight Transportation EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov RIVER PROTECTION Susan Johnson (509) 373-7914 susan_c_johnson@orp.doe.gov 484110 General Freight Trucking, Local BONNEVILLE POWER ADMIN Greg Eisenach (360) 418-8063 gaeisenach@bpa.gov EM BUSINESS CENTER

203

" Row: NAICS Codes;" " ...  

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

Only","Other than","and","Any","from Only","Other than","and" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

204

" Row: NAICS Codes;" " ...  

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

than","and","Any","from Only","Other than","and","Row" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

205

SBOT NAICS Series  

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

13312 13312 Textile and Fabric Finishing (except Broadwoven Fabric) Mills EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov Y-12 SITE Gloria Mencer (865) 576-2090 mencergd@y12.doe.gov 314991 Rope, Cordage, and Twine Mills EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov Y-12 SITE Gloria Mencer (865) 576-2090 mencergd@y12.doe.gov 314999 All Other Miscellaneous Textile Product Mills EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov

206

SBOT NAICS Series  

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

922120 922120 Police Protection CARLSBAD FIELD OFFICE Roland Taylor roland.taylor@wipp.ws CHICAGO OPERATIONS Larry Thompson (630) 252-2711 larry.thompson@ch.doe.gov EM BUSINESS CENTER Karen Bahan (513) 246-0555 karen.bahan@emcbc.doe.gov GOLDEN FIELD OFFICE Karen Downs (720) 356-1269 karen.downs@go.doe.gov HEADQUARTERS PROCUREMENT Michael Raizen (202) 287-1512 michael.raizen@hq.doe.gov LOS ALAMOS LAB Dennis Roybal (505) 667-4419 dr@lanl.gov NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NNSA SERVICE CENTER Gregory Gonzales (505) 845-5420 ggonzales@doeal.gov OAK RIDGE LAB Cassandra McGee Stu (865) 576-3560 mcgeecm@ornl.gov OAK RIDGE OPERATIONS Freda Hopper (856) 576-9430

207

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

internal conditions. Maximum Demand Saving Intensity [W/ft2]automated electric demand sheds. The maximum electric shed

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

2005-01-01T23:59:59.000Z

208

U.S. net oil and petroleum product imports expected to fall to...  

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

oil and petroleum products to meet domestic demand next year. In its new monthly forecast, the U.S. Energy Information Administration expects total net imports to average 5.4...

209

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State Vermont Program Type Net Metering Provider Vermont Department of Public Service NOTE: Legislation enacted in May 2012 (HB475) further amends Vermont's net metering policy. Vermont's original net-metering legislation was enacted in 1998, and the law has been expanded several times subsequently. Any electric customer in Vermont may net meter after obtaining a Certificate of Public Good from the Vermont Public Service Board (PSB). Solar net metered systems 10 kilowatts

210

Sample QuarkNet Proposal  

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

Department Address: Florida State University Keen Building, City, State: Tallahassee, FL Zip: 32306-4350 Local QuarkNet Leader(s): Local QuarkNet Participants are: Susan Blessing,...

211

Green Power Network: Net Metering  

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

As of November, 2010, net metering was offered in 43 states, Washington, D.C., and Puerto Rico (see map of state net metering rules from DSIRE). For a more detailed...

212

QuarkNet  

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

QuarkNet: The science connection you've been waiting for! QuarkNet: The science connection you've been waiting for! The Opportunity: "Your program rejuvenates my soul. It connects me with a cadre of intelligent and excited educators. It reinvigorates my teaching and provides me avenues to extend and enliven the projects that I can offer my students. Without the Quarknet program I am sure that I would have left teaching years ago." The Players: High school students, teachers and physicsts working together on physics research projects exploring the hidden nature of matter, energy, space and time. The Questions: What are the origins of mass? Can the basic forces of nature be unified? How did the universe begin? How will it evolve? LHC & Fermilab Links For Teachers For Students CERN Homepage ATLAS Experiment

213

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA

214

U.S. Coal Supply and Demand  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9 Hydroelectric 7,759 6,861 -11.6 Natural Gas 48,007 54,680 13.9 Nuclear 36,231 38,361 5.9 Other (1) 9,186 9,063 -1.3 Total 115,559 123,210 6.6 Middle Atlantic Coal 121,873 129,935 6.6 Hydroelectric 28,793 26,463 -8.1 Natural Gas 89,808 104,341 16.2 Nuclear 155,140 152,469 -1.7

215

ASP.NET 3.5 AJAX Unleashed, 1st edition  

Science Conference Proceedings (OSTI)

As the Internet user experience (UX) progresses, more users are demanding and expecting their custom-built business applications to provide the same UX that they see on the Internet every day. ASP.NET 3.5 AJAX Unleashed empowers ASP.NET developers to ...

Robert Foster

2008-12-01T23:59:59.000Z

216

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

217

demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

218

Demand Response Database & Demo  

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

Demand Response Database & Demo Speaker(s): Mike Graveley William M. Smith Date: June 7, 2005 - 12:00pm Location: Bldg. 90 Seminar HostPoint of Contact: Mary Ann Piette Infotility...

219

Tankless Demand Water Heaters  

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

Demand (tankless or instantaneous) water heaters have heating devices that are activated by the flow of water, so they provide hot water only as needed and without the use of a storage tank. They...

220

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2012-12-19T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-05-14T23:59:59.000Z

222

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-09-30T23:59:59.000Z

223

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2013-11-05T23:59:59.000Z

224

Transportation Demand This  

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

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

225

Net Primary Production (NPP) Project Page  

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

RegionalGlobal > Net Primary Production (NPP) Net Primary Production (NPP) Project Overview The ORNL DAAC Net Primary Production (NPP) data set collection contains field...

226

Energy Demand Modelling Introduction to the PhD project  

E-Print Network (OSTI)

Energy Demand Modelling Introduction to the PhD project Erika Zvingilaite Risø DTU System Analysis for optimization of energy systems Environmental effects Global externalities cost of CO2 Future scenarios for the Nordic energy systems 2010, 2020, 2030, 2040, 2050 (energy-production, consumption, emissions, net costs

227

Automated Demand Response Tests  

Science Conference Proceedings (OSTI)

This report includes assessments and test results of four end-use technologies, representing products in the residential, commercial, and industrial sectors, each configured to automatically receive real-time pricing information and critical peak pricing (CPP) demand response (DR) event notifications. Four different vendors were asked to follow the interface requirements set forth in the Open Automated Demand Response (OpenADR) standard that was introduced to the public in 2008 and currently used in two ...

2008-12-22T23:59:59.000Z

228

Automated Demand Response Tests  

Science Conference Proceedings (OSTI)

This report, which is an update to EPRI Report 1016082, includes assessments and test results of four end-use vendor technologies. These technologies represent products in the residential, commercial, and industrial sectors, each configured to automatically receive real-time pricing information and critical peak pricing (CPP) demand response (DR) event notifications. Four different vendors were asked to follow the interface requirements set forth in the Open Automated Demand Response (OpenADR) Communicat...

2009-03-30T23:59:59.000Z

229

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State North Carolina Program Type Net Metering Provider North Carolina Utilities Commission The North Carolina Utilities Commission (NCUC) requires the state's three investor-owned utilities -- Duke Energy, Progress Energy and Dominion North Carolina Power -- to make net metering available to customers that own and operate systems that generate electricity using solar energy, wind energy, hydropower, ocean or wave energy, biomass resources, combined heat and

230

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Missouri Program Type Net Metering Provider Missouri Public Service Commission Missouri enacted legislation in June 2007 (S.B. 54)* requiring all electric utilities -- investor-owned utilities, municipal utilities and electric cooperatives -- to offer net metering to customers with systems up to 100 kilowatts (kW) in capacity that generate electricity using wind energy, solar-thermal energy, hydroelectric energy, photovoltaics (PV), fuel cells

231

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Home Weatherization Water Wind Program Info State Maryland Program Type Net Metering Provider Maryland Public Service Commission Note: The program web site listed above links to the Maryland Public Service Commission's Net Metering Working Group page, which contains a variety of information resources related to the ongoing implementation of net metering in Maryland, such as meeting agendas, minutes, and draft utility tariffs.

232

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Wind Solar Home Weatherization Program Info State District of Columbia Program Type Net Metering Provider DC Public Service Commission In the District of Columbia (DC), net metering is currently available to residential and commercial customer-generators with systems powered by renewable-energy sources, combined heat and power (CHP), fuel cells and microturbines, with a maximum capacity of 1 megawatt (MW). The term "renewable energy sources" is defined as solar, wind, tidal, geothermal, biomass, hydroelectric power and digester gas. In October 2008, the Clean

233

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Energy Sources Solar Home Weatherization Wind Program Info State New Hampshire Program Type Net Metering Provider New Hampshire Public Utilities Commission New Hampshire requires all utilities selling electricity in the state to offer net metering to customers who own or operate systems up to one megawatt (1 MW) in capacity that generate electricity using solar, wind, geothermal, hydro, tidal, wave, biomass, landfill gas, bio-oil or

234

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Virginia Program Type Net Metering Provider Virginia Department of Mines, Minerals, and Energy '''''Note: In March 2011, Virginia enacted HB 1983, which increased the residential net-metering limit to 20 kW. However, residential facilities with a capacity of greater than 10 kW must pay a monthly standby charge. The Virginia State Corporation Commission approved standby charges for transmissions and distribution components as proposed by Virginia Electric and Power Company (Dominion Virginia Power) on November 3, 2011.'''''

235

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Industrial Residential Local Government Multi-Family Residential Nonprofit Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State West Virginia Program Type Net Metering Provider West Virginia Public Service Commission Net metering in West Virginia is available to all retail electricity customers. System capacity limits vary depending on the customer type and electric utility type, according to the following table. Customer Type IOUs with 30,000 customers or more IOUs with fewer than 30,000 customers, municipal utilities, electric cooperatives

236

NetCDF at NERSC  

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

NetCDF NetCDF NetCDF Description and Overview NetCDF (Network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. This includes the libnetcdf.a library as well as the NetCDF Operators (NCO), Climate Data Operators (CDO), NCCMP, and NCVIEW packages. Files written with previous versions can be read or written with the current version. Using NetCDF on Cray System There are separate NetCDF installations provided by Cray and by NERSC. On Hopper and Edison, Cray installations are recommended because they are simpler to use. To see the available Cray installations and versions use the following command: module avail cray-netcdf To see the NERSC installations and versions use the following command:

237

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial General Public/Consumer Industrial Residential Fed. Government Local Government State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Oklahoma Program Type Net Metering Provider Oklahoma Corporation Commission Net metering has been available in Oklahoma since 1988 under Oklahoma Corporation Commission (OCC) Order 326195. The OCC's rules require investor-owned utilities and electric cooperatives under the commission's jurisdiction* to file net-metering tariffs for customer-owned renewable-energy systems and combined-heat-and-power (CHP) facilities up to 100 kilowatts (kW) in capacity. Net metering is available to all customer

238

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Wind Solar Home Weatherization Program Info State Ohio Program Type Net Metering Provider Ohio Public Utilities Commission '''''Note: In July 2012, the Public Utilities Commission of Ohio (PUCO) opened a docket ([http://dis.puc.state.oh.us/CaseRecord.aspx?CaseNo=12-2050-EL-ORD Case 12-0250-EL-RDR]) to review the net metering rules for investor-owned utilities. Details will be posted as more information is available.''''' Ohio's net-metering law requires electric distribution utilities to offer net metering to customers who generate electricity using wind energy, solar energy, biomass, landfill gas, hydropower, fuel cells or microturbines.

239

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Commercial Fed. Government Local Government Residential State Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Hawaii Program Type Net Metering Provider Hawaii Public Utilities Commission NOTE: Kauai Island Electric Cooperative's (KIUC) net metering program has reached its capacity and has implemented a Net Energy Metering Pilot Program. Hawaii's original net-metering law was enacted in 2001 and expanded in 2004 by HB 2048, which increased the eligible capacity limit of net-metered systems from 10 kilowatts (kW) to 50 kW. In 2005, the law was further amended by SB 1003, which authorized the Hawaii Public Utilities Commission

240

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

time. 4 Reducing this peak demand through DR programs meansthat a 5% reduction in peak demand would have resulted insame 5% reduction in the peak demand of the US as a whole.

Shen, Bo

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

242

California Independent System Operator demand response & proxy demand resources  

Science Conference Proceedings (OSTI)

Demand response programs are designed to allow end use customers to contribute to energy load reduction individually or through a demand response provider. One form of demand response can occur when an end use customer reduces their electrical usage ...

John Goodin

2012-01-01T23:59:59.000Z

243

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

244

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

245

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

246

Weekly Refiner Net Production  

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

Refiner Net Production Refiner Net Production (Thousand Barrels per Day) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Product/Region 11/08/13 11/15/13 11/22/13 11/29/13 12/06/13 12/13/13 View History Finished Motor Gasoline 2,168 2,300 2,336 2,359 2,462 2,368 2010-2013 East Coast (PADD 1) 54 53 52 67 71 67 2010-2013 Midwest (PADD 2) 696 745 722 711 798 790 2010-2013 Gulf Coast (PADD 3) 891 916 1,010 1,053 1,011 1,021 2010-2013 Rocky Mountain (PADD 4) 260 248 245 232 279 235 2010-2013 West Coast (PADD 5) 268 338 308 296 302 255 2010-2013 Reformulated 50 49 49 49 48 49 2010-2013 Blended with Ethanol 50 49 49 49 48 49 2010-2013 Other

247

Demand Response In California  

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

Energy Efficiency & Energy Efficiency & Demand Response Programs Dian M. Grueneich, Commissioner Dian M. Grueneich, Commissioner California Public Utilities Commission California Public Utilities Commission FUPWG 2006 Fall Meeting November 2, 2006 Commissioner Dian M. Grueneich November 2, 2006 1 Highest Priority Resource Energy Efficiency is California's highest priority resource to: Meet energy needs in a low cost manner Aggressively reduce GHG emissions November 2, 2006 2 Commissioner Dian M. Grueneich November 2, 2006 3 http://www.cpuc.ca.gov/PUBLISHED/REPORT/51604.htm Commissioner Dian M. Grueneich November 2, 2006 4 Energy Action Plan II Loading order continued "Pursue all cost-effective energy efficiency, first." Strong demand response and advanced metering

248

Travel Demand Modeling  

SciTech Connect

This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

2011-01-01T23:59:59.000Z

249

Automated Demand Response Today  

Science Conference Proceedings (OSTI)

Demand response (DR) has progressed over recent years beyond manual and semi-automated DR to include growing implementation and experience with fully automated demand response (AutoDR). AutoDR has been shown to be of great value over manual and semi-automated DR because it reduces the need for human interactions and decisions, and it increases the speed and reliability of the response. AutoDR, in turn, has evolved into the specification known as OpenADR v1.0 (California Energy Commission, PIER Program, C...

2012-03-29T23:59:59.000Z

250

United States lubricant demand  

Science Conference Proceedings (OSTI)

This paper examines United States Lubricant Demand for Automotive and Industrial Lubricants by year from 1978 to 1992 and 1997. Projected total United States Lubricant Demand for 1988 is 2,725 million (or MM) gallons. Automotive oils are expected to account for 1,469MM gallons or (53.9%), greases 59MM gallons (or 2.2%), and Industrial oils will account for the remaining 1,197MM gallons (or 43.9%) in 1988. This proportional relationship between Automotive and Industrial is projected to remain relatively constant until 1992 and out to 1997. Projections for individual years between 1978 to 1992 and 1997 are summarized.

Solomon, L.K.; Pruitt, P.R.

1988-01-01T23:59:59.000Z

251

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

No. ER06-615-000 CAISO Demand Response Resource User Guide -8 2.1. Demand Response Provides a Range of Benefits to8 2.2. Demand Response Benefits can be Quantified in Several

Heffner, Grayson

2010-01-01T23:59:59.000Z

252

Application of net energy analysis to consumer technologies, February 1977  

SciTech Connect

Utilizing a net energy methodology that examines both direct and indirect energy consumption, this report determines the overall energy resource consumption effects of satisfying several selected consumer demands for energy: a residential demand for the provision of heat, cooling, and hot water; a transportation sector demand to power an automobile; and an industrial demand for process steam and electricity. Energy consumption is described through the use of trajectories that, in modular fashion, trace from in-situ resource to the particular final demand. This allows the analyst to examine changing fuel forms in the supply path as well as changing technology in the user-demand path. The beneficial effects of the developing residential energy-use technologies are quantified, the flexibility of the electric automobile with regard to resource use is demonstrated, and the overall energy savings via on-site power generation are detailed. In particular, the study demonstrates the usefulness of the net energy methodology as a tool for assessing the true implications for fossil reserves when substituting different energy sources.

Frabetti, A.J. Jr.

1977-01-01T23:59:59.000Z

253

On Demand Guarantees in Iran.  

E-Print Network (OSTI)

??On Demand Guarantees in Iran This thesis examines on demand guarantees in Iran concentrating on bid bonds and performance guarantees. The main guarantee types and… (more)

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

254

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Water Energy Sources Solar Home Weatherization Wind Program Info State Minnesota Program Type Net Metering Provider Minnesota Department of Commerce '''''Note: H.F. 729, enacted in May 2013, includes many changes to Minnesota's net metering law. These changes are described above, but most will not take effect until rules are implemented at the PUC. The below summary reflects the current rules.''''' Minnesota's net-metering law, enacted in 1983, applies to all investor-owned utilities, municipal utilities and electric cooperatives. All "qualifying facilities" less than 40 kilowatts (kW) in capacity are

255

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Energy Sources Solar Home Weatherization Wind Program Info State Pennsylvania Program Type Net Metering Provider Pennsylvania Public Utility Commission Note: In March 2012 the Pennsylvania Public Utilities Commission (PUC) issued a Final Order (Docket M-2011-2249441) approving the use of third-party ownership models (i.e., system leases or retail power purchase agreements) in conjunction with net metering. The Order allows these types of arrangements for net metered systems, subject to a restriction that the

256

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Iowa Program Type Net Metering Provider Iowa Utilities Board Iowa's statutes do not explicitly authorize the Iowa Utilities Board (IUB) to mandate net metering, but this authority is implicit through the board's enforcement of PURPA and Iowa Code § 476.41 ''et seq.'' Iowa's net-metering subrule, adopted by the IUB in July 1984, applies to customers that generate electricity using alternate energy production facilities (AEPs). Net metering is available to all customer classes of Iowa's two investor-owned utilities -- MidAmerican Energy and Interstate Power and

257

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Wind Solar Home Weatherization Program Info State Illinois Program Type Net Metering Provider Illinois Commerce Commission '''''NOTE: Legislation enacted in 2011 and 2012 (S.B. 1652, H.B. 3036, and S.B. 3811) has changed several aspects of net metering in Illinois. For customers in competitive classes as of July 1, 2011, the law prescribes a dual metering and bill crediting system which does not meet the definition of net metering as the term is generally defined. Click here for information regarding competitive classes, and

258

Transportation Demand Management Plan  

E-Print Network (OSTI)

Transportation Demand Management Plan FALL 2009 #12;T r a n s p o r t a t i o n D e m a n d M a n the transportation impacts the expanded enrollment will have. Purpose and Goal The primary goal of the TDM plan is to ensure that adequate measures are undertaken and maintained to minimize the transportation impacts

259

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2012-11-15T23:59:59.000Z

260

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2013-10-10T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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

Net Metering | Department of Energy  

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

Residential Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Wind Solar Home Weatherization Program Info State Louisiana Program Type Net Metering Provider Louisiana Public Service Commission '''''Note: Ongoing proceedings related to net metering can be found in Docket R-31417.''''' Louisiana enacted legislation in June 2003 establishing net metering. Modeled on Arkansas's law, Louisiana's law requires investor-owned utilities, municipal utilities and electric cooperatives to offer net metering to customers that generate electricity using solar, wind, hydropower, geothermal or biomass resources. Fuel cells and microturbines that generate electricity entirely derived from renewable resources are

262

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Connecticut Program Type Net Metering Provider Public Utilities Regulatory Authority Connecticut's two investor-owned utilities -- Connecticut Light and Power Company (CL&P) and United Illuminating Company (UI) -- are required to provide net metering to customers that generate electricity using "Class I" renewable-energy resources, which include solar, wind, landfill gas, fuel

263

Net Metering | Department of Energy  

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

Agricultural Agricultural Commercial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Kentucky Program Type Net Metering Provider Kentucky Public Service Commission In April 2008, Kentucky enacted legislation that expanded its net metering law by requiring utilities to offer net metering to customers that generate electricity with photovoltaic (PV), wind, biomass, biogas or hydroelectric systems up to 30 kilowatts (kW) in capacity. The Kentucky Public Service Commission (PSC) issued rules on January 8, 2009. Utilities had 90 days from that date to file tariffs that include all terms and conditions of their net metering programs, including interconnection.

264

Road to Net Zero (Presentation)  

Science Conference Proceedings (OSTI)

A PowerPoint presentation on NREL's Research Support Facility (RSF) and the road to achieving net zero energy for new construction.

Glover, B.

2011-05-01T23:59:59.000Z

265

Net Metering (New Brunswick, Canada)  

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

The NB Power Net Metering program provides customers with the option to connect their own environmentally sustainable generation unit to NB Power's distribution system. The program allows customers...

266

OpenEI - net generation  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm610 en Electricity Net Generation From Renewable Energy by Energy Use Sector and Energy Source, 2004 - 2008 http:en.openei.org...

267

Net Metering | Department of Energy  

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

Program Type Net Metering Provider Georgia Public Service Commission The Georgia Cogeneration and Distributed Generation Act of 2001 requires all utilities -- investor-owned...

268

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

269

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

270

On Demand Paging Using  

E-Print Network (OSTI)

The power consumption of the network interface plays a major role in determining the total operating lifetime of wireless handheld devices. On demand paging has been proposed earlier to reduce power consumption in cellular networks. In this scheme, a low power secondary radio is used to wake up the higher power radio, allowing the latter to sleep or remain off for longer periods of time. In this paper we present use of Bluetooth radios to serve as a paging channel for the 802.11 wireless LAN. We have implemented an on-demand paging scheme on a WLAN consisting of iPAQ PDAs equipped with Bluetooth radios and Cisco Aironet wireless networking cards. Our results show power saving ranging from 19% to 46% over the present 802.11b standard operating modes with negligible impact on performance.

Bluetooth Radios On; Yuvraj Agarwal; Rajesh K. Gupta

2003-01-01T23:59:59.000Z

271

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

272

Demand Forecast INTRODUCTION AND SUMMARY  

E-Print Network (OSTI)

Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required of any forecast of electricity demand and developing ways to reduce the risk of planning errors that could arise from this and other uncertainties in the planning process. Electricity demand is forecast

273

Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes  

E-Print Network (OSTI)

purchasing rates for net metering, inter?tie fees, variable to the grid, including net metering, time of use pricing, purchasing rates for net metering, intertie fees, peak 

Al-Beaini, S.

2010-01-01T23:59:59.000Z

274

Table A19. Components of Total Electricity Demand by Census Region and  

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

Components of Total Electricity Demand by Census Region and" Components of Total Electricity Demand by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,1.4,1.3,1.9,0.5 "Value of Shipments and Receipts" "(million dollars)"

275

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

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

6. Components of Total Electricity Demand by Census Region, Industry" 6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Groups and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

276

Table A26. Components of Total Electricity Demand by Census Region, Census Di  

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

Components of Total Electricity Demand by Census Region, Census Division, and" Components of Total Electricity Demand by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,2.1,1.2,2,0.4 "Value of Shipments and Receipts"

277

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Solar Water Wind Program Info State New Jersey Program Type Net Metering Provider New Jersey Board of Public Utilities New Jersey's net-metering rules apply to all residential, commercial and industrial customers of the state's investor-owned utilities and energy suppliers (and certain competitive municipal utilities and electric cooperatives). Systems that generate electricity using solar, wind, geothermal, wave, tidal, landfill gas or sustainable biomass resources, including fuel cells (all "Class I" technologies under the state RPS), are

278

net generation | OpenEI  

Open Energy Info (EERE)

net generation net generation Dataset Summary Description Provides annual net electricity generation (thousand kilowatt-hours) from renewable energy in the United States by energy use sector (commercial, industrial, electric power) and by energy source (e.g. biomas, solar thermal/pv). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords 2004 2008 Electricity net generation renewable energy Data application/vnd.ms-excel icon 2008_RE.net_.generation_EIA.Aug_.2010.xls (xls, 16.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2004 - 2008 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

279

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Michigan Program Type Net Metering Provider Michigan Public Service Commission '''''The MPSC is reviewing state interconnection and net metering policies in [http://efile.mpsc.state.mi.us/efile/viewcase.php?casenum=15919&submit.x=... Case U-15919].''''' In October 2008, Michigan enacted legislation (P.A. 295) requiring the Michigan Public Service Commission (PSC) to establish a statewide net metering program for renewable-energy systems within 180 days. On May 26, 2009 the Michigan Public Service Commission (PSC) issued an order formally

280

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Colorado Program Type Net Metering Provider Colorado Public Utilities Commission [http://www.leg.state.co.us/clics/clics2009a/csl.nsf/fsbillcont3/571064D8... Senate Bill 51] of April 2009 made several changes, effective September 1, 2009, to the state's net metering rules for investor-owned utilities, as they apply to solar-electric systems. These changes include converting the maximum system size for solar-electric systems from two megawatts (MW) to 120% of the annual consumption of the site; redefining a site to include

Note: This page contains sample records for the topic "naics net demand" 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

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Industrial Residential Fed. Government General Public/Consumer Local Government Low-Income Residential Multi-Family Residential Nonprofit Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Wind Program Info State California Program Type Net Metering Provider California Public Utilities Commission California's net-metering law originally took effect in 1996 and applies to all utilities with one exception*. The law has been amended numerous times since its enactment, most recently by AB 327 of 2013. '''Eligible Technologies''' The original law applied to wind-energy systems, solar-electric systems and hybrid (wind/solar) systems. In September 2002, legislation (AB 2228)

282

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

Natural Gas Demands..xi Annual natural gas demand for each alternativeused in natural gas demand projections. 34

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

283

4. Net Generation Trends  

Gasoline and Diesel Fuel Update (EIA)

8 8 Section 1. Commentary Electric Power Data In the contiguous United States, near normal temperatures were observed throughout the country during the month of September 2008. The only deviation from normal temperatures occurred in the southern United States as below average temperatures prevailed for the month, while the western United States experienced above average temperatures during September 2008. Accordingly, cooling degree days for the contiguous United States as a whole were 9.7 percent above the average for the month of September, and 11.0 percent below a warmer September 2007. Retail sales of electricity for the month of September 2008 decreased 3.0 percent compared to the warmer temperatures and subsequent higher demand for electricity observed in September 2007. The average U.S. retail price of electricity for September 2008 showed a 9.1-percent increase

284

4. Net Generation Trends  

Gasoline and Diesel Fuel Update (EIA)

8 8 Section 1. Commentary Electric Power Data For the second straight month, near normal temperatures were observed throughout the contiguous United States in October 2008. On the regional level, temperatures did deviate above normal in the western United States while parts of the South, Southeast, and Northeast experienced below average temperatures. Accordingly, heating degree days for the contiguous United States as a whole were 1.4 percent above the average for the month of October, and 63.4 percent above a much warmer October 2007. In October 2008, retail sales of electricity decreased 4.4 percent compared to October 2007, which had warmer temperatures and subsequent higher demand for electricity. The average U.S. retail price of electricity continued to show an upward trend in October 2008, increasing 9.3

285

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

Minimum demand and Maximum demand incorporate assumptionslevels, or very minor Maximum demand household size, growthvehicles in Increasing Maximum demand 23 mpg truck share

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

286

Dividends with Demand Response  

SciTech Connect

To assist facility managers in assessing whether and to what extent they should participate in demand response programs offered by ISOs, we introduce a systematic process by which a curtailment supply curve can be developed that integrates costs and other program provisions and features. This curtailment supply curve functions as bid curve, which allows the facility manager to incrementally offer load to the market under terms and conditions acceptable to the customer. We applied this load curtailment assessment process to a stylized example of an office building, using programs offered by NYISO to provide detail and realism.

Kintner-Meyer, Michael CW; Goldman, Charles; Sezgen, O.; Pratt, D.

2003-10-31T23:59:59.000Z

287

Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes  

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

Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes Title Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes Publication Type Report LBNL Report Number...

288

Active QuarkNet Centers  

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

Active QuarkNet Centers Active QuarkNet Centers       QuarkNet Home - Information - Calendar - Contacts - Projects - Forms: EoI - Teachers Centers on a Google Map @ the PTEC website Mentor List Sorted by: Last Name Institution Name First Year in Program Argonne National Laboratory - On sabbatical Black Hills State University Brown, Northeastern & Brandeis Universities Brookhaven National Laboratory, Columbia & Stony Brook Universities Chicago State University Colorado State University Fermilab & University of Chicago Florida Institute of Technology Florida International University Florida State University Hampton, George Mason, William & Mary Universities Idaho State University Indiana University - On sabbatical Johns Hopkins University

289

Chinese demand drives global deforestation Chinese demand drives global deforestation  

E-Print Network (OSTI)

Chinese demand drives global deforestation Chinese demand drives global deforestation By Tansa Musa zones and do not respect size limits in their quest for maximum financial returns. "I lack words economy. China's demand for hardwood drives illegal logging says "Both illegal and authorized

290

Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand  

E-Print Network (OSTI)

: Properties of the AIDS Generalized Maximum Entropy Estimator 24 #12;Estimating a Demand SystemEstimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand Amos Golan* Jeffrey with nonnegativity constraints is presented. This approach, called generalized maximum entropy (GME), is more

Perloff, Jeffrey M.

291

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy Commission staff. Staff contributors to the current forecast are: Project Management and Technical Direction

292

Demand Response | Department of Energy  

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

Demand Response Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates. Methods of engaging customers in demand response efforts include offering time-based rates such as time-of-use pricing, critical peak pricing, variable peak pricing, real time pricing, and critical peak rebates. It also includes direct load control programs which provide the

293

Net Metering | Open Energy Information  

Open Energy Info (EERE)

Metering Metering Jump to: navigation, search For electric customers who generate their own electricity, net metering allows for the flow of electricity both to and from the customer,– typically through a single, bi-directional meter. With net metering, when a customer’'s generation exceeds the customer’'s use, the customer's electricity flows back to the grid, offsetting electricity consumed by the customer at a different time. In effect, the customer uses excess generation to offset electricity that the customer otherwise would have to purchase at the utility’'s full retail rate. Net metering is required by law in most states, but some of these laws only apply to investor-owned utilities,– not to municipal utilities or electric cooperatives. [1] Net Metering Incentives

294

Grid Net | Open Energy Information  

Open Energy Info (EERE)

Net Net Jump to: navigation, search Name Grid Net Address 340 Brannan St Place San Francisco, California Zip 94107 Sector Efficiency Product Sells open, interoperable, policy-based network management software Website http://www.grid-net.com/ Coordinates 37.781265°, -122.393229° 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":37.781265,"lon":-122.393229,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

295

Net Metering | Department of Energy  

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

Alternative Fuel Vehicles Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Delaware Program Type Net Metering Provider Delaware Public Service Commission In Delaware, net metering is available to any customer that generates electricity using solar, wind or hydro resources, anaerobic digesters, or fuel cells capable of being powered by renewable fuels. Grid-interactive electric vehicles are also eligible for net metering treatment for electricity that they put on the grid, although these vehicles do not themselves generate electricity. The maximum capacity of a net-metered system is 25 kilowatts (kW) for residential customers; 100 kW for farm customers on residential rates; two megawatts (MW) per meter for

296

QuarkNet - Educational Materials  

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

2 | Projects | Educational Materials Resources for Teachers This year's QuarkNet teachers compiled a list of files and links that can be used as classroom resources and lesson plan...

297

Symbolic Computation of Petri Nets  

Science Conference Proceedings (OSTI)

Petri nets are receiving increasing attention from the scientific community during the last few years. They provide the users with a powerful formalism for describing and analyzing a variety of information processing systems such as finite-state machines, ...

Andres Iglesias; Sinan Kapcak

2007-05-01T23:59:59.000Z

298

Net Metering | Department of Energy  

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

gas or geothermal energy. Net metering is available for residential systems up to 25 kilowatts (kW) in capacity and non-residential systems up to two megawatts (MW) in capacity....

299

Net Metering | Department of Energy  

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

to renewable-energy systems and combined heat and power (CHP) systems up to 100 kilowatts (kW) in capacity.** Net metering is available to all customers of investor-owned...

300

Net Zero Energy Installations (Presentation)  

SciTech Connect

A net zero energy installation (NZEI) is one that produces as much energy from on-site renewable sources as it consumes. NZEI assessment provides a systematic approach to energy projects.

Booth, S.

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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

Valley Electric Association- Net Metering  

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

The Board of Directors for Valley Electric Association (VEA) approved net metering in April 2008. The rules apply to systems up to 30 kW, though owners of larger systems may be able to negotiate...

302

Net Metering | Department of Energy  

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

metering. Independent systems with retail sales of less than 5,000,000 kilowatt-hours (kWh) are exempt from offering net metering. Utilities that generate 100% of electricity...

303

QuarkNet Boot Camp  

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

Overview Memo Milestones Resources Schedule To: All QuarkNet collaborators From: Tom Jordan Date: 18 July 2011 Re: Testing and analysis of early data As you know, CMS has been...

304

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 ..............................................................................3 Residential Forecast Comparison ..............................................................................................5 Nonresidential Forecast Comparisons

305

Massachusetts Natural Gas Underground Storage Net Withdrawals...  

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

Net Withdrawals All Operators (Million Cubic Feet) Massachusetts Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

306

2012 Near Net Shape Manufacturing Workshop: Home  

Science Conference Proceedings (OSTI)

2012 Near Net Shape Manufacturing Workshop April 11-13, 2012, iWireless Center, Moline, Illinois • USA. The 2012 Near Net Shape Manufacturing Workshop ...

307

OpenNet Training | Department of Energy  

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

OpenNet Training OpenNet Training Enforcement Guidance Oversight Reporting Classification Classification Training Institute Official Use Only Information Unclassified Controlled...

308

Net Metering (Ontario, Canada) | Department of Energy  

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

Net Metering (Ontario, Canada) Net Metering (Ontario, Canada) Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility StateProvincial Govt Industrial...

309

Overview of Demand Response  

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

08 PJM 08 PJM www.pjm.com ©2003 PJM Overview of Demand Response PJM ©2008 PJM www.pjm.com ©2003 PJM Growth, Statistics, and Current Footprint AEP, Dayton, ComEd, & DUQ Dominion Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Current PJM RTO Statistics Current PJM RTO Statistics PJM Mid-Atlantic Integrations completed as of May 1 st , 2005 ©2008 PJM

310

Fort Collins, Colorado on Track to Net Zero | Department of Energy  

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

Fort Collins, Colorado on Track to Net Zero Fort Collins, Colorado on Track to Net Zero Fort Collins, Colorado on Track to Net Zero November 18, 2010 - 2:23pm Addthis Ian Hamos What does this mean for me? Using electricity during "peak periods" requires more fuel and creates more emissions to produce the same amount as energy as non-peak periods. By integrating demand-side resources, distributed and renewable power sources, and smart grid technologies, Fort Collins is creating a net Zero Energy District (ZED) -- potentially creating hundreds of permanent jobs and setting an example for cities nationwide. Just like traffic has peaks at rush hour, electricity demand rises and falls at particular times of day. During electricity's peak periods, power plants turn on gas-fired turbines and other supplemental energy

311

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

312

ASP.NET 3.5 Unleashed  

Science Conference Proceedings (OSTI)

ASP.NET 3.5 Unleashed is the most comprehensive book available on the Microsoft ASP.NET 3.5 Framework, covering all aspects of the ASP.NET 3.5 Framework--no matter how advanced. This edition covers all the new features of ASP.NET 3.5. It explains Microsoft ...

Stephen Walther

2008-01-01T23:59:59.000Z

313

Demand Response Programs, 6. edition  

Science Conference Proceedings (OSTI)

The report provides a look at the past, present, and future state of the market for demand/load response based upon market price signals. It is intended to provide significant value to individuals and companies who are considering participating in demand response programs, energy providers and ISOs interested in offering demand response programs, and consultants and analysts looking for detailed information on demand response technology, applications, and participants. The report offers a look at the current Demand Response environment in the energy industry by: defining what demand response programs are; detailing the evolution of program types over the last 30 years; discussing the key drivers of current initiatives; identifying barriers and keys to success for the programs; discussing the argument against subsidization of demand response; describing the different types of programs that exist including:direct load control, interruptible load, curtailable load, time-of-use, real time pricing, and demand bidding/buyback; providing examples of the different types of programs; examining the enablers of demand response programs; and, providing a look at major demand response programs.

NONE

2007-10-15T23:59:59.000Z

314

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

2007 EMCS EPACT ERCOT FCM FERC FRCC demand side managementEnergy Regulatory Commission (FERC). EPAct began the processin wholesale markets, which FERC Order 888 furthered by

Shen, Bo

2013-01-01T23:59:59.000Z

315

Assessment of Achievable Potential from Energy Efficiency and Demand  

Open Energy Info (EERE)

Assessment of Achievable Potential from Energy Efficiency and Demand Assessment of Achievable Potential from Energy Efficiency and Demand Response Programs in the United States (U.S.) (2010-2030) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Assessment of Achievable Potential from Energy Efficiency and Demand Response Programs in the United States (U.S.) (2010-2030) Focus Area: Energy Efficiency, - Utility Topics: Policy Impacts Website: www.edisonfoundation.net/IEE/Documents/EPRI_AssessmentAchievableEEPote Equivalent URI: cleanenergysolutions.org/content/assessment-achievable-potential-energ Language: English Policies: Regulations Regulations: Mandates/Targets This report discusses the 2008 U.S. Energy Information Administration statistic that electricity consumption in the United States is predicted to

316

Both Distillate Supply and Demand Reached Extraordinary Levels This Winter  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: This chart shows some critical differences in distillate supply and demand during this winter heating season, in comparison to the past two winters. Typically, distillate demand peaks during the winter months, but "new supply" (refinery production and net imports) cannot increase as much, so the remaining supply needed is drawn from inventories. This pattern is evident in each of the past two winter heating seasons. This winter, however, the pattern was very different, for several reasons: With inventories entering the season at extremely low levels, a "typical" winter stockdraw would have been nearly impossible, particularly in the Northeast, the region most dependent on heating oil. Demand reached near-record levels in December, as colder-than-normal

317

Net Metering | Department of Energy  

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

Agricultural Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Heating & Cooling Commercial Heating & Cooling Wind Program Info State Indiana Program Type Net Metering Provider Indiana Utility Regulatory Commission The Indiana Utility Regulatory Commission (IURC) adopted rules for net metering in September 2004, requiring the state's investor-owned utilities (IOUs) to offer net metering to all electric customers. The rules, which apply to renewable energy resource projects [defined by IC 8-1-37-4(a)(1) - (8)] with a maximum capacity of 1 megawatt (MW), include the following

318

Net Metering | Department of Energy  

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

Agricultural Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Oregon Program Type Net Metering Oregon has established separate net-metering programs for the state's primary investor-owned utilities (PGE and PacifiCorp), and for its municipal utilities and electric cooperatives. '''PGE and PacifiCorp Customers''' The Oregon Public Utilities Commission (PUC) adopted new rules for net metering for PGE and PacifiCorp customers in July 2007, raising the individual system limit from 25 kilowatts (kW) to two megawatts (MW) for non-residential applications. (The rules do not apply to customers of Idaho

319

Net Metering | Department of Energy  

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

Residential Residential Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Wyoming Program Type Net Metering Provider Wyoming Public Service Commission Wyoming enacted legislation in February 2001 that established statewide net metering. The law applies to investor-owned utilities, electric cooperatives and irrigation districts. Eligible technologies include solar, wind, biomass and hydropower systems up to 25 kilowatts (kW) in capacity. Systems must be intended primarily to offset part or all of the customer-generator's requirements for electricity. Net excess generation (NEG) is treated as a kilowatt-hour (kWh) credit or other compensation on the customer's following bill.* When an annual period ends, a utility will purchase unused credits at the utility's avoided-cost

320

electricity demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords Electricity Consumption electricity demand energy use by sector New Zealand Data application/vnd.ms-excel icon Electricity Consumption by Sector (1974 - 2009) (xls, 46.1 KiB) application/vnd.ms-excel icon Percentage of Consumers by Sector (2002 - 2009) (xls, 43.5 KiB)

Note: This page contains sample records for the topic "naics net demand" 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

Annual World Oil Demand Growth  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Following relatively small increases of 1.3 million barrels per day in 1999 and 0.9 million barrels per day in 2000, EIA is estimating world demand may grow by 1.6 million barrels per day in 2001. Of this increase, about 3/5 comes from non-OECD countries, while U.S. oil demand growth represents more than half of the growth projected in OECD countries. Demand in Asia grew steadily during most of the 1990s, with 1991-1997 average growth per year at just above 0.8 million barrels per day. However, in 1998, demand dropped by 0.3 million barrels per day as a result of the Asian economic crisis that year. Since 1998, annual growth in oil demand has rebounded, but has not yet reached the average growth seen during 1991-1997. In the Former Soviet Union, oil demand plummeted during most of the

322

Net Metering | Department of Energy  

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

Institutional Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State Arizona Program Type Net Metering Provider Arizona Corporation Commission Net metering is available to customers who generate electricity using solar, wind, hydroelectric, geothermal, biomass, biogas, combined heat and power (CHP) or fuel cell technologies. The ACC has not set a firm kilowatt-based limit on system size capacity; instead, systems must be sized to not exceed 125% of the customer's total connected load. If there is no available load data for the customer, the generating system may not

323

Net Metering | Department of Energy  

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

Industrial Industrial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Water Energy Sources Solar Home Weatherization Wind Program Info State Wisconsin Program Type Net Metering Provider Public Service Commission of Wisconsin The Public Service Commission of Wisconsin (PSC) issued an order on January 26, 1982 requiring all regulated utilities to file tariffs allowing net metering to customers that generate electricity with systems up to 20 kilowatts (kW)* in capacity. The order applies to investor-owned utilities and municipal utilities, but not to electric cooperatives. All distributed-generation (DG) systems, including renewables and combined heat and power (CHP), are eligible. There is no limit on total enrollment.

324

QuarkNet at Work  

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

QuarkNet at Work Information for Active Mentors & Teachers     QuarkNet Home - Information - Calendar - Contacts - Projects - Forms: EoI - Teachers Information Active Centers Calendar Contacts Expectations: for Teachers, for Mentors Information on Other Funding Sources Program Overview Support: for Teachers, for Centers Staff Job Description Activities Essential Practices - Teaching with Inquiry (word.doc) Classroom Activities e-Labs: CMS - Cosmic Ray Boot Camp Project Activities Databases: Data Entry (password only) 2012 Center Reporting Resources Important Findings from Previous Years Mentor Tips Associate Teacher Institute Toolkit Print Bibliography - Online Resources Imaging Detector Principles of Professionalism for Science Educators - NSTA position

325

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

lvi Southern California Edison filed its SmartConnectinfrastructure (e.g. , Edison Electric Institute, DemandSouthern California Edison Standard Practice Manual

Heffner, Grayson

2010-01-01T23:59:59.000Z

326

Automated Demand Response and Commissioning  

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

and Commissioning Title Automated Demand Response and Commissioning Publication Type Conference Paper LBNL Report Number LBNL-57384 Year of Publication 2005 Authors Piette, Mary...

327

Demand Uncertainty and Price Dispersion.  

E-Print Network (OSTI)

??Demand uncertainty has been recognized as one factor that may cause price dispersion in perfectly competitive markets with costly and perishable capacity. With the persistence… (more)

Li, Suxi

2007-01-01T23:59:59.000Z

328

1995 Demand-Side Managment  

U.S. Energy Information Administration (EIA)

U.S. Electric Utility Demand-Side Management 1995 January 1997 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels

329

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

8 Figure 7: Maximum Demands Savings Intensity due toaddressed in this report. Maximum Demand Savings Intensity (Echelon Figure 7: Maximum Demands Savings Intensity due to

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

330

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

energy efficiency and demand response programs and tariffs.energy efficiency and demand response program and tariffenergy efficiency and demand response programs and tariffs.

Goldman, Charles

2010-01-01T23:59:59.000Z

331

Wireless Demand Response Controls for HVAC Systems  

E-Print Network (OSTI)

Strategies Linking Demand Response and Energy Efficiency,”Fully Automated Demand Response Tests in Large Facilities,technical support from the Demand Response Research Center (

Federspiel, Clifford

2010-01-01T23:59:59.000Z

332

Demand Response Quick Assessment Tool (DRQAT)  

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

Demand Response Quick Assessment Tool (DRQAT) The opportunities for demand reduction and cost saving with building demand responsive control vary tremendously with building type...

333

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

2 2.0 Demand ResponseFully Automated Demand Response Tests in Large Facilities,was coordinated by the Demand Response Research Center and

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

334

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network (OSTI)

8.4 Demand Response Integration . . . . . . . . . . .for each day type for the demand response study - moderatefor each day type for the demand response study - moderate

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

335

Installation and Commissioning Automated Demand Response Systems  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

336

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

and D. Kathan (2009). Demand Response in U.S. ElectricityEnergy Financial Group. Demand Response Research Center [2008). Assessment of Demand Response and Advanced Metering.

Goldman, Charles

2010-01-01T23:59:59.000Z

337

Strategies for Demand Response in Commercial Buildings  

E-Print Network (OSTI)

Fully Automated Demand Response Tests in Large Facilities”of Fully Automated Demand Response in Large Facilities”,was coordinated by the Demand Response Research Center and

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

2006-01-01T23:59:59.000Z

338

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

23 ii Retail Demand Response in SPP List of Figures and10 Figure 3. Demand Response Resources by11 Figure 4. Existing Demand Response Resources by Type of

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

339

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Table 1. “Economic” demand response and real time pricing (Implications of Demand Response Programs in CompetitiveAdvanced Metering, and Demand Response in Electricity

Sezgen, Osman; Goldman, Charles; Krishnarao, P.

2005-01-01T23:59:59.000Z

340

Refinery and Blender Net Inputs  

Annual Energy Outlook 2012 (EIA)

Refinery and Blender Net Inputs Crude OIl ... 14.54 15.14 15.26 15.08 14.51 15.30 15.70 14.93 14.47 15.30 15.54 14.97 15.01...

Note: This page contains sample records for the topic "naics net demand" 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

China, India demand cushions prices  

SciTech Connect

Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

Boyle, M.

2006-11-15T23:59:59.000Z

342

Harnessing the power of demand  

Science Conference Proceedings (OSTI)

Demand response can provide a series of economic services to the market and also provide ''insurance value'' under low-likelihood, but high-impact circumstances in which grid reliablity is enhanced. Here is how ISOs and RTOs are fostering demand response within wholesale electricity markets. (author)

Sheffrin, Anjali; Yoshimura, Henry; LaPlante, David; Neenan, Bernard

2008-03-15T23:59:59.000Z

343

Demand Response for Ancillary Services  

Science Conference Proceedings (OSTI)

Many demand response resources are technically capable of providing ancillary services. In some cases, they can provide superior response to generators, as the curtailment of load is typically much faster than ramping thermal and hydropower plants. Analysis and quantification of demand response resources providing ancillary services is necessary to understand the resources economic value and impact on the power system. Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and illustrate a methodology to construct detailed temporal and spatial representations of the demand response resource and to examine how to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to translate the technical potential for demand response providing ancillary services into a realizable potential.

Alkadi, Nasr E [ORNL; Starke, Michael R [ORNL

2013-01-01T23:59:59.000Z

344

"Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"  

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

Components of Total Electricity Demand by Census Region, Census Division, Industry" Components of Total Electricity Demand by Census Region, Census Division, Industry" " Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Group and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

345

Strategies for Demand Response in Commercial Buildings  

E-Print Network (OSTI)

the average and maximum peak demand savings. The electricity1: Average and Maximum Peak Electric Demand Savings during

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

2006-01-01T23:59:59.000Z

346

Demand Response Opportunities in Industrial Refrigerated Warehouses...  

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

Demand Response Opportunities in Industrial Refrigerated Warehouses in California Title Demand Response Opportunities in Industrial Refrigerated Warehouses in California...

347

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

Model of the Global Crude Oil Market and the U.S. RetailNoureddine. 2002. World crude oil and natural gas: a demandanalysis of the demand for oil in the Middle East. Energy

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

348

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

349

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

350

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

351

A Systematic Stochastic Petri Net Based Methodology for Transformer Fault Diagnosis and Repair Actions  

Science Conference Proceedings (OSTI)

Transformer fault diagnosis and repair is a complex task that includes many possible types of faults and demands special trained personnel. Moreover, the minimization of the time needed for transformer fault diagnosis and repair is an important task ... Keywords: power system reliability, stochastic petri nets, transformer fault diagnosis

P. S. Georgilakis; J. A. Katsigiannis; K. P. Valavanis; A. T. Souflaris

2006-02-01T23:59:59.000Z

352

Avista Utilities - Net Metering | Department of Energy  

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

Avista Utilities - Net Metering Avista Utilities - Net Metering Avista Utilities - Net Metering < Back Eligibility Agricultural Commercial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Idaho Program Type Net Metering Provider Avista Utilities Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has developed a net-metering tariff that has been approved by the Idaho Public Utilities Commission (PUC). The framework of the utilities' net-metering programs is similar, in that each utility: (1) offers net metering to customers that generate electricity using solar,

353

SRP - Net Metering | Department of Energy  

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

SRP - Net Metering SRP - Net Metering SRP - Net Metering < Back Eligibility Commercial Residential Savings Category Buying & Making Electricity Solar Wind Program Info State Arizona Program Type Net Metering Provider SRP Salt River Project (SRP) modified an existing net-metering program for residential and commercial customers in November 2013. Net metering is now available to customers who generate electricity using photovoltaic (PV), geothermal, or wind systems up to 300 kilowatts (kW) in AC peak capacity. The kilowatt-hours (kWh) delivered to SRP are subtracted from the kWh delivered from SRP for each billing cycle. If the kWh calculation is net positive for the billing cycle, SRP will bill the net kWh to the customer under the applicable price plan, Standard Price Plan E-21, E-23, E-26,

354

Net Metering (Indiana) | Open Energy Information  

Open Energy Info (EERE)

eligible to net meter. In addition, the rulemaking defined "name plate capacity" for inverter-based net metering facilities to be "the aggregate output rating of all inverters in...

355

City of St. George- Net Metering  

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

The St. George City Council adopted a [http://www.sgcity.org/wp/power/NetMeteringPolicy.pdf net-metering program for area utilities], including interconnection procedures, in October 2005.* The...

356

Idaho Power - Net Metering | Department of Energy  

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

Net Metering Net Metering Idaho Power - Net Metering < Back Eligibility Agricultural Commercial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Idaho Program Type Net Metering Provider Idaho Power Company Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has developed a net-metering tariff that has been approved by the Idaho Public Utilities Commission (PUC). The framework of the utilities' net-metering programs is similar, in that each utility: (1) offers net metering to customers that generate electricity using solar, wind, hydropower, biomass or fuel cells; (2) limits residential systems to

357

Effects of the drought on California electricity supply and demand  

E-Print Network (OSTI)

Acknowledgments SUMMARY Electricity Demand ElectricityAdverse Impacts ELECTRICITY DEMAND . . . .Demand forElectricity Sales Electricity Demand by Major Utility

Benenson, P.

2010-01-01T23:59:59.000Z

358

building demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

359

Demand Response Research in Spain  

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

Demand Response Research in Spain Demand Response Research in Spain Speaker(s): Iñigo Cobelo Date: August 22, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette The Spanish power system is becoming increasingly difficult to operate. The peak load grows every year, and the permission to build new transmission and distribution infrastructures is difficult to obtain. In this scenario Demand Response can play an important role, and become a resource that could help network operators. The present deployment of demand response measures is small, but this situation however may change in the short term. The two main Spanish utilities and the transmission network operator are designing research projects in this field. All customer segments are targeted, and the research will lead to pilot installations and tests.

360

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2010 with Projections to 2035 Electricity Demand Figure 69. U.S. electricity demand growth 1950-2035 Click to enlarge » Figure source and data excel logo Figure 60. Average annual U.S. retail electricity prices in three cases, 1970-2035 Click to enlarge » Figure source and data excel logo Figure 61. Electricity generation by fuel in three cases, 2008 and 2035 Click to enlarge » Figure source and data excel logo Figure 62. Electricity generation capacity additions by fuel type, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 63. Levelized electricity costs for new power plants, 2020 and 2035 Click to enlarge » Figure source and data excel logo Figure 64. Electricity generating capacity at U.S. nuclear power plants in three cases, 2008, 2020, and 2035

Note: This page contains sample records for the topic "naics net demand" 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

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart...

362

Demand for money in China .  

E-Print Network (OSTI)

??This research investigates the long-run equilibrium relationship between money demand and its determinants in China over the period 1952-2004 for three definitions of money –… (more)

Zhang, Qing

2006-01-01T23:59:59.000Z

363

Thermal Mass and Demand Response  

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

Thermal Mass and Demand Response Speaker(s): Gregor Henze Phil C. Bomrad Date: November 2, 2011 - 12:00pm Location: 90-4133 Seminar HostPoint of Contact: Janie Page The topic of...

364

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

Conference on Building Commissioning: May 4-6, 2005 Motegi,National Conference on Building Commissioning: May 4-6, 2005Demand Response and Commissioning Mary Ann Piette, David S.

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

2005-01-01T23:59:59.000Z

365

Distillate Demand Strong Last Winter  

Gasoline and Diesel Fuel Update (EIA)

4 Notes: Well, distillate fuel demand wasn't the reason that stocks increased in January 2001 and kept prices from going higher. As you will hear shortly, natural gas prices spiked...

366

Leslie Mancebo (7234) Transportation Demand &  

E-Print Network (OSTI)

Leslie Mancebo (7234) Transportation Demand & Marketing Coordinator 1 FTE, 1 HC Administrative Vice Chancellor Transportation and Parking Services Clifford A. Contreras (0245) Director 30.10 FTE Alternative Transportation & Marketing Reconciliation Lourdes Lupercio (4723) Michelle McArdle (7512) Parking

Hammock, Bruce D.

367

STEO December 2012 - coal demand  

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

coal demand seen below 1 billion tons in 2012 for fourth year in a row Coal consumption by U.S. power plants to generate electricity is expected to fall below 1 billion tons in...

368

Adaptive workflow nets for grid computing  

Science Conference Proceedings (OSTI)

Existing grid applications commonly use workflows for the orchestration of grid services. Existing workflow models however suffer from the lack of adaptivity. In this paper we define Adaptive Grid Workflow nets (AGWF nets) appropriate for modeling grid ... Keywords: coordination, grid computing, modeling, petri nets, verification, workflows

Carmen Bratosin; Kees van Hee; Natalia Sidorova

2007-09-01T23:59:59.000Z

369

Checking Properties of Adaptive Workflow Nets  

Science Conference Proceedings (OSTI)

In this paper we consider adaptive workflow nets, a class of nested nets that allows more comfort and expressive power for modeling adaptability and exception handling in workflow nets. We define two important behavioural properties of adaptive workflow ... Keywords: adaptive workflow, circumspectness, soundness, verification

Kees van Hee; Olivia Oanea; Alexander Serebrenik; Natalia Sidorova; Marc Voorhoeve; Irina A. Lomazova

2008-02-01T23:59:59.000Z

370

Microsoft VisualBasic.Net Professional Projects  

Science Conference Proceedings (OSTI)

From the Publisher:Incorporating five hands-on projects, Microsoft Visual Basic .NET Professional Projects is your key to unlocking the power of Visual Basic .NET. Each project focuses on a specific Visual Basic .NET concept and is based on a real-world ...

Kuljit Kaur; Pooja Bembey

2002-04-01T23:59:59.000Z

371

2002CALIFORNIAPOWERMIX 2002 NET SYSTEM POWER CALCULATION  

E-Print Network (OSTI)

System Power Net System Power 62% Specific Purchases 35% Self-generation 3% Wind 741 Solar 0 Small Hydro,777 Net System Power, GWh Wind 2,805 Solar 864 Small Hydro 1,157 Geothermal 7,692 Biomass 1,954 Nuclear 22CALIFORNIA ENERGY COMMISSION APRIL 2003 300-03-002 2002CALIFORNIAPOWERMIX 2002 NET SYSTEM POWER

372

Configuration structures, event structures and Petri nets  

Science Conference Proceedings (OSTI)

In this paper the correspondence between safe Petri nets and event structures, due to Nielsen, Plotkin and Winskel, is extended to arbitrary nets without self-loops, under the collective token interpretation. To this end we propose a more general form ... Keywords: Concurrency, Configuration structures, Event structures, Petri nets, Propositional logic

R. J. van Glabbeek; G. D. Plotkin

2009-09-01T23:59:59.000Z

373

Tracking Progress Last updated 5/8/2013 Statewide Energy Demand 1  

E-Print Network (OSTI)

Electricity consumption grew at a rate of about 1.5 percent from 1990 to 2000, 1 percent from 2000 to 2008. Net peak is total electricity demand at peak on the customer side, plus utility transmission,884 2022* 74,049 70,946 66,916 Note: Historical values are shaded. *Weather-normalized: a weather

374

Demand Response Spinning Reserve Demonstration  

Science Conference Proceedings (OSTI)

The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

2007-05-01T23:59:59.000Z

375

"NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","Don't Know","Not Applicable"  

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

4 Relative Standard Errors for Table 8.4;" 4 Relative Standard Errors for Table 8.4;" " Unit: Percents." "NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","Don't Know","Not Applicable" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Full-Time Energy Manager (c)",0.7,4.8,3.9,"--" ,"Set Goals for Improving Energy Efficiency",1.2,2.8,3,"--" ,"Measure and Monitor Steam Used (d)",0.8,4.1,3.3,8 ,"Dedicated Staff that Performs Insulation Inspections (e)",0.9,4.5,3.3,8.3 ,"Formal Steam Maintenance Program that Includes the Following:" ," Annual Testing of All Steam Traps",0.9,3.7,3.1,8

376

Hacking NetCOPE to Run on NetFPGA-10G  

Science Conference Proceedings (OSTI)

This paper describes the Net COPE platform porting issues to the new generation of the Net FPGA(-10G) cards. Achieved throughput and CPU utilization for various length of packets was measured. It was shown that we are able to reach maximum throughput ... Keywords: FPGA, NetCOPE, NetFPGA-10G

Pavol Korcek; Vlastimil Kosar; Martin Zadnik; Karel Koranda; Petr Kastovsky

2011-10-01T23:59:59.000Z

377

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

Gas-Fired Distributed Energy Resource Characterizations,”International Journal of Distributed Energy Resources 4(4):A.S. Siddiqui (2008b), “Distributed Energy Resources On-Site

Stadler, Michael

2009-01-01T23:59:59.000Z

378

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

solar thermal collectors, absorption chillers, and passive /waste heat for absorption chillers is considered. Finally,220$/kWh and 2125$/kW 18 absorption chiller solar thermal

Stadler, Michael

2009-01-01T23:59:59.000Z

379

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

Heat and Power Adoption by a Microgrid,” Journal of EnergyStorage and Reliability on Microgrid Viability: A Study ofa cost- or carbon-minimizing microgrid that is able to adopt

Stadler, Michael

2009-01-01T23:59:59.000Z

380

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

N. Zhou (2007), “Distributed Generation with Heat RecoveryCO 2 emissions, distributed generation, energy management,2008)). Although distributed generation ( DG) units are less

Stadler, Michael

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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.
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to obtain the most current and comprehensive results.


381

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

among utilities, the electricity tariff has time-of-use (as well as flat electricity tariffs. A major driver for DG /purchase electricity from the utility at the tariff rate or

Stadler, Michael

2009-01-01T23:59:59.000Z

382

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

Marnay, C. (2008), “Microgrids and Heterogeneous Powerof Commercial-Building Microgrids,” IEEE Transactions on

Stadler, Michael

2009-01-01T23:59:59.000Z

383

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

on minimized costs, energy efficiency, and CO 2 emissions (energy costs vary when electrical, thermal storage, efficiency

Stadler, Michael

2009-01-01T23:59:59.000Z

384

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

5. a ZNEB low storage and low PV price run, with low storagelow storage and low PV price equipment 100 kW reciprocatingZNEB low storage and low PV price run 4a relaxed ZNEB invest

Stadler, Michael

2009-01-01T23:59:59.000Z

385

Asian demand spurs U.S. net exports of petroleum coke to higher ...  

U.S. Energy Information Administration (EIA)

China buys more U.S. petcoke than any other country; shipments averaged 86 thousand bbl/d during the January 2012 to February 2012 period, ...

386

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

be acquired. Battery storage costs are roughly consistentcosts ($/kW or $/kWh) lifetime (a) thermal storage 15 flow batterycosts, carbon emissions, or other objectives, and delivers optimal schedules. Recently, electrical (conventional lead/acid battery) and

Stadler, Michael

2009-01-01T23:59:59.000Z

387

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

www.electricitystorage.org/tech/technologies_comparisons_Chandran (2008), “Optimal Technology Selection and Operationand Thermal Storage Technologies,” ACEEE 2008 Summer Study

Stadler, Michael

2009-01-01T23:59:59.000Z

388

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

the amount of installed PV, solar thermal, and both electricand, in the case of PV or solar thermal equipment, bythe amount of installed PV and solar thermal to 30 000m 2 (

Stadler, Michael

2009-01-01T23:59:59.000Z

389

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

a Microgrid,” Journal of Energy Engineering 131(1): 2-25. Toand Storage,” Journal of Energy Engineering 133(3): 181-210.

Stadler, Michael

2009-01-01T23:59:59.000Z

390

On-Demand Grid Application Tuning and Debugging with the NetLogger Activation Service  

Science Conference Proceedings (OSTI)

Typical Grid computing scenarios involve manydistributed hardware and software components. The morecomponents that are involved, the more likely it is that oneof them may fail. In order for Grid computing to succeed,there must be a simple mechanism to ...

Dan Gunter; Brian L. Tierney; Craig E. Tull; Vibha Virmani

2003-11-01T23:59:59.000Z

391

Net Energy Billing | Department of Energy  

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

Energy Billing Energy Billing Net Energy Billing < Back Eligibility Agricultural Commercial Industrial Institutional Low-Income Residential Multi-Family Residential Nonprofit Residential Schools Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State Maine Program Type Net Metering Provider Maine Public Utilities Commission All of Maine's electric utilities -- investor-owned utilities (IOUs), consumer-owned utilities (COUs), which include municipal utilities and electric cooperatives -- must offer net energy billing for individual customers. Furthermore IOUs are required to offer net metering for shared ownership customers, while COUs may offer net metering to shared ownership

392

Current Experience With Net Metering Programs  

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

require customers who exceed a particular threshold in monthly demand to switch from an energy-based tariff to a demand-charge tariff. Since demand charge meters typically do not...

393

Kansas - Net Metering | Department of Energy  

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

Kansas - Net Metering Kansas - Net Metering Kansas - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Kansas Program Type Net Metering Provider Kansas Corporation Commission Kansas adopted the Net Metering and Easy Connection Act in May 2009 (see K.S.A. 66-1263 through 66-1271), establishing net metering for customers of investor-owned utilities in Kansas. Net metering applies to systems that generate electricity using solar, wind, methane, biomass or hydro resources, and to fuel cells using hydrogen produced by an eligible

394

Progress Energy - Net Metering | Department of Energy  

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

Progress Energy - Net Metering Progress Energy - Net Metering Progress Energy - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State South Carolina Program Type Net Metering Provider Progress Energy Carolinas In August 2009, the South Carolina Public Service Commission issued an order mandating net metering be made available by the regulated electric utilities; the order incorporates a net metering settlement signed by the individual interveners, the Office of Regulatory Staff and the three investor-owned utilities (IOUs). The order detailed the terms of net metering, including ownership of RECs, in South Carolina and standardized

395

Net Metering Webinar | Department of Energy  

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

Net Metering Webinar Net Metering Webinar Net Metering Webinar June 25, 2014 11:00AM MDT Attendees will become familiar with the services provided by utility net metering and their importance in making projects cost-effective. The speakers will provide information based on case histories of how facilities that generate their own electricity from renewable energy sources can feed electricity they do not use back into the grid. Many states have net-metering laws with which utilities must comply. In states without such legislation, utilities may offer net-metering programs voluntarily or as a result of regulatory decisions. The webinar will cover the general differences between states' legislation and implementation and how the net-metering benefits can vary widely for facilities in different areas of

396

Duke Energy - Net Metering | Department of Energy  

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

Duke Energy - Net Metering Duke Energy - Net Metering Duke Energy - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State South Carolina Program Type Net Metering In August 2009, the South Carolina Public Service Commission issued an [http://dms.psc.sc.gov/pdf/matters/F05030FC-E19A-9225-B838F72EDF4557DC.pdf] order mandating net metering be made available by the regulating utilities; the order incorporates a net metering settlement signed by the individual interveners, the Office of Regulatory Staff and the three investor-owned utilities (IOUs). The order detailed the terms of net metering, including

397

National Action Plan on Demand Response  

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

Action Plan on Demand National Action Plan on Demand Action Plan on Demand National Action Plan on Demand Response Response Federal Utilities Partnership Working Group Federal Utilities Partnership Working Group November 18, 2008 November 18, 2008 Daniel Gore Daniel Gore Office of Energy Market Regulation Office of Energy Market Regulation Federal Energy Regulatory Commission Federal Energy Regulatory Commission The author's views do not necessarily represent the views of the Federal Energy Regulatory Commission Presentation Contents Presentation Contents Statutory Requirements Statutory Requirements National Assessment [Study] of Demand Response National Assessment [Study] of Demand Response National Action Plan on Demand Response National Action Plan on Demand Response General Discussion on Demand Response and Energy Outlook

398

Behavioral Aspects in Simulating the Future US Building Energy Demand  

E-Print Network (OSTI)

tech. selection Net energy consumption Service tech. cost &equip. selection Net energy consumption Service tech. cost &tech. selection Net energy consumption Service tech. cost &

Stadler, Michael

2011-01-01T23:59:59.000Z

399

ESnet's On-Demand Bandwidth Reservation Service Wins R&D 100 Award  

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

ESnet's On-Demand Bandwidth ESnet's On-Demand Bandwidth Reservation Service Wins R&D 100 Award News & Publications ESnet in the News ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net ESnet's On-Demand Bandwidth Reservation Service Wins R&D 100 Award OSCARS Honored with "Oscar of Innovation" July 8, 2013 Contact: Jon Bashor, 510-486-5849, jbashor@lbl.gov RD100 OSCARS 0.6 was recognized as one of R&D Magazine's top 100 technologies. Widely recognized as a mark of excellence, the R&D 100 Awards are the only

400

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

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

Mares, K.C.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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

Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services  

E-Print Network (OSTI)

A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

Kiliccote, Sila

2010-01-01T23:59:59.000Z

402

Definition: Demand | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Definition Edit with form History Facebook icon Twitter icon » Definition: Demand Jump to: navigation, search Dictionary.png Demand The rate at which electric energy is delivered to or by a system or part of a system, generally expressed in kilowatts or megawatts, at a given instant or averaged over any designated interval of time., The rate at which energy is being used by the customer.[1] Related Terms energy, electricity generation References ↑ Glossary of Terms Used in Reliability Standards An i Like Like 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:Demand&oldid=480555"

403

Successful demand-side management  

Science Conference Proceedings (OSTI)

This article is a brief summary of a series of case studies of five publicly-owned utilities that are noted for their success with demand-side management. These utilities are: (1) city of Austin, Texas, (2) Burlington Electric Department in Vermont, (3) Sacramento Municipal Utility District in California, (4) Seattle City Light, and (5) Waverly Light and Power in Iowa. From these case studies, the authors identified a number of traits associated with a successful demand-side management program. These traits are: (1) high rates, (2) economic factors, (3) environmental awareness, (4) state emphasis on integrated resource planning/demand side management, (5) local political support, (6) large-sized utilities, and (7) presence of a champion.

Hadley, S. [Oak Ridge National Laboratory, TN (United States); Flanigan, T. [Results Center, Aspen, CO (United States)

1995-05-01T23:59:59.000Z

404

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart indicates the extent to which the last winter exhibited below-normal heating degree-days (and thus below-normal heating demand). Temperatures were consistently warmer than normal throughout the 1999-2000 heating season. This was particularly true in November 1999, February 2001 and March 2001. For the heating season as a whole (October through March), the 1999-2000 winter yielded total HDDs 10.7% below normal. Normal temperatures this coming winter would, then, be expected to bring about 11% higher heating demand than we saw last year. Relative to normal, the 1999-2000 heating season was the warmest in

405

Turkey's energy demand and supply  

SciTech Connect

The aim of the present article is to investigate Turkey's energy demand and the contribution of domestic energy sources to energy consumption. Turkey, the 17th largest economy in the world, is an emerging country with a buoyant economy challenged by a growing demand for energy. Turkey's energy consumption has grown and will continue to grow along with its economy. Turkey's energy consumption is high, but its domestic primary energy sources are oil and natural gas reserves and their production is low. Total primary energy production met about 27% of the total primary energy demand in 2005. Oil has the biggest share in total primary energy consumption. Lignite has the biggest share in Turkey's primary energy production at 45%. Domestic production should be to be nearly doubled by 2010, mainly in coal (lignite), which, at present, accounts for almost half of the total energy production. The hydropower should also increase two-fold over the same period.

Balat, M. [Sila Science, Trabzon (Turkey)

2009-07-01T23:59:59.000Z

406

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

residential electricity consumption, the flattening of the demand curves (except Maximum demand) reflects decreasing population growth ratesresidential electricity demand are described in Table 11. For simplicity, end use-specific UEC and saturation rates

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

407

EIA projections of coal supply and demand  

SciTech Connect

Contents of this report include: EIA projections of coal supply and demand which covers forecasted coal supply and transportation, forecasted coal demand by consuming sector, and forecasted coal demand by the electric utility sector; and policy discussion.

Klein, D.E.

1989-10-23T23:59:59.000Z

408

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

percent of 2008 summer peak demand (FERC, 2008). Moreover,138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).non-coincident summer peak demand by 157 GW” by 2030, or 14–

Goldman, Charles

2010-01-01T23:59:59.000Z

409

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

pricing tariffs have a peak demand reduction potential ofneed to reduce summer peak demand that is used to set demandcustomers and a system peak demand of over 43,000 MW. SPP’s

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

410

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

with total Statewide peak demand and on peak days isto examine the electric peak demand related to lighting inDaily) - TOU Savings - Peak Demand Charges - Grid Peak -Low

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

411

Tankless Demand Water Heaters | Department of Energy  

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

Demand Water Heaters Tankless Demand Water Heaters August 19, 2013 - 2:57pm Addthis Illustration of an electric demand water heater. At the top of the image, the heating unit is...

412

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

413

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

414

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare the industrial forecast

415

Electric Utility Demand-Side Management 1997  

U.S. Energy Information Administration (EIA)

Electric Utility Demand-Side Management 1997 Executive Summary Background Demand-side management (DSM) programs consist of the planning, implementing, and monitoring ...

416

Equity Capital Flows and Demand for REITs  

Science Conference Proceedings (OSTI)

This paper examines the shape of the market demand curve for ... Our results do not support a downward demand curve for ... Charleston, IL 61920, USA e-mail: ...

417

Home Network Technologies and Automating Demand Response  

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

electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in...

418

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

California Long-term Energy Efficiency Strategic Plan. B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

419

Installation and Commissioning Automated Demand Response Systems  

E-Print Network (OSTI)

al: Installation and Commissioning Automated Demand ResponseConference on Building Commissioning: April 22 – 24, 2008al: Installation and Commissioning Automated Demand Response

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

2008-01-01T23:59:59.000Z

420

EIA - Annual Energy Outlook 2009 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

data Rate of Electricity Demand Growth Slows, Following the Historical Trend Electricity demand fluctuates in the short term in response to business cycles, weather conditions,...

Note: This page contains sample records for the topic "naics net demand" 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

Demand Response as a System Reliability Resource  

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

Demand Response as a System Reliability Resource Title Demand Response as a System Reliability Resource Publication Type Report Year of Publication 2012 Authors Eto, Joseph H.,...

422

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Oakland CA, December. PJM Demand Side Response WorkingPrice Response Program a PJM Economic Load Response ProgramLoad Response Statistics PJM Demand Response Working Group

Sezgen, Osman; Goldman, Charles; Krishnarao, P.

2005-01-01T23:59:59.000Z

423

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

Regulatory Commission (FERC) 2006. “Assessment of DemandRegulatory Commission (FERC) 2007. “Assessment of DemandRegulatory Commission (FERC) 2008a. “Wholesale Competition

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

424

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

29 5.6. Peak and hourly demand43 6.6. Peak and seasonal demandthe average percent of peak demand) significantly impact the

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

425

Water demand management in Kuwait  

E-Print Network (OSTI)

Kuwait is an arid country located in the Middle East, with limited access to water resources. Yet water demand per capita is much higher than in other countries in the world, estimated to be around 450 L/capita/day. There ...

Milutinovic, Milan, M. Eng. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

426

Demand-Side Management Glossary  

Science Conference Proceedings (OSTI)

In recent years, demand-side management (DSM) programs have grown in significance within the U.S. electric power industry. Such rapid growth has resulted in new terms, standards, and vocabulary used by DSM professionals. This report is a first attempt to provide a consistent set of definitions for the expanding DSM terminology.

1992-11-01T23:59:59.000Z

427

Guam - Net Metering | Department of Energy  

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

Guam - Net Metering Guam - Net Metering Guam - Net Metering < Back Eligibility Agricultural Commercial Industrial Institutional Nonprofit Residential Schools Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Wind Solar Home Weatherization Program Info Program Type Net Metering Provider Guam Energy Office Guam's Public Utilities Commission (PUC) reviewed net metering and interconnection during a regular meeting in February 2009 (Docket 08-10). Please contact the [http://www.guampuc.com/ Guam PUC] for the results of that docket review. In 2004, Guam enacted legislation requiring the Guam Power Authority (GPA) to allow net metering for customers with fuel cells, microturbines, wind energy, biomass, hydroelectric, solar energy or hybrid systems of these

428

Net Metering Rules (Arkansas) | Department of Energy  

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

Net Metering Rules (Arkansas) Net Metering Rules (Arkansas) Net Metering Rules (Arkansas) < Back Eligibility Commercial Industrial Installer/Contractor Investor-Owned Utility Retail Supplier Rural Electric Cooperative Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Arkansas Program Type Net Metering Provider Arkansas Public Service Commission The Net Metering Rules are promulgated under the authority of the Arkansas Public Service Commission. These rules are created to establish rules for net energy metering and interconnection. These rules are developed pursuant to the Arkansas Renewable Energy Development Act (Arkansas Code Annotated 23-18-603). These rules apply to all electric utilities.

429

Demand Dispatch — Intelligent Demand for a More Efficient Grid  

E-Print Network (OSTI)

This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed therein do not necessarily state or reflect those of the United States Government or any agency thereof. Demand Dispatch: Intelligent Demand for a More Efficient Grid

Keith Dodrill

2011-01-01T23:59:59.000Z

430

The alchemy of demand response: turning demand into supply  

Science Conference Proceedings (OSTI)

Paying customers to refrain from purchasing products they want seems to run counter to the normal operation of markets. Demand response should be interpreted not as a supply-side resource but as a secondary market that attempts to correct the misallocation of electricity among electric users caused by regulated average rate tariffs. In a world with costless metering, the DR solution results in inefficiency as measured by deadweight losses. (author)

Rochlin, Cliff

2009-11-15T23:59:59.000Z

431

"NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)"  

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

3 Relative Standard Errors for Table 6.3;" 3 Relative Standard Errors for Table 6.3;" " Unit: Percents." " "," ",,,"Consumption" " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Value of Shipments and Receipts" ,"(million dollars)" ," Under 20",3,3,3

432

US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier  

E-Print Network (OSTI)

US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Massimo www.cepe.ethz.ch #12;US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Page 1 of 25 US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier

433

Active QuarkNet Centers  

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

first active year) first active year)       QuarkNet Home - Information - Calendar - Contacts - Projects - Forms: EoI - Teachers Institution Contact e-mail Year Brown, Northeastern & Brandeis Universities Richard Dower - rick.dower@roxburylatin.org 1999 Fermilab & University of Chicago Chris Stoughton - stoughto@fnal.gov 1999 Florida State University Horst Wahl - wahl@hep.fsu.edu 1999 Indiana University Rick Van Kooten - rickv@paoli.physics.indiana.edu 1999 University of California - Santa Cruz Steve Ritz - ritz@scipp.ucsc.edu 1999 University of Notre Dame Dan Karmgard - Karmgard.1@nd.edu 1999 University of Oklahoma Michael Strauss - strauss@mail.nhn.ou.edu 1999 University of Rochester Kevin McFarland - ksmcf@pas.rochester.edu 1999

434

TacNet Tracker - Energy Innovation Portal  

Technology Marketing Summary The TacNet Tracker is designed to transport information securely via portable handheld units without the need for fixed ...

435

Working and Net Available Shell Storage Capacity  

U.S. Energy Information Administration (EIA)

Containing storage capacity data for crude oil, petroleum products, and selected biofuels. The report includes tables detailing working and net available shell ...

436

Groundbreaking Net Zero Building, NIST Director Pat ...  

Science Conference Proceedings (OSTI)

... ideas up and carry out these programs, to the contracting staff, to the facilities management staff who ... The Net-Zero Energy Residential Test Facility. ...

2012-06-12T23:59:59.000Z

437

Ashland Electric - Net Metering | Department of Energy  

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

adopted a net-metering program that includes simple interconnection guidelines. The program encourages the adoption of renewable-energy systems by committing the city to...

438

,"California Natural Gas Underground Storage Net Withdrawals...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","62013"...

439

Energy Demand | Open Energy Information  

Open Energy Info (EERE)

Energy Demand Energy Demand Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data Figure 55 From AEO2011 report . Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and

440

Q:\asufinal_0107_demand.vp  

Gasoline and Diesel Fuel Update (EIA)

00 00 (AEO2000) Assumptions to the January 2000 With Projections to 2020 DOE/EIA-0554(2000) Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution

Note: This page contains sample records for the topic "naics net demand" 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

Demand Response and Risk Management  

Science Conference Proceedings (OSTI)

For several decades, power companies have deployed various types of demand response (DR), such as interruptible contracts, and there is substantial ongoing research and development on sophisticated mechanisms for triggering DR. In this white paper, EPRI discusses the increasing use of electricity DR in the power industry and how this will affect the practice of energy risk management. This paper outlines 1) characteristics of a common approach to energy risk management, 2) the variety of types of DR impl...

2008-12-18T23:59:59.000Z

442

Building Technologies Office: Integrated Predictive Demand Response  

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

Integrated Predictive Integrated Predictive Demand Response Controller Research Project to someone by E-mail Share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Facebook Tweet about Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Twitter Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Google Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Delicious Rank Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Digg Find More places to share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on AddThis.com...

443

Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes  

SciTech Connect

A green building competition, to be known as the Energy Free Home Challenge (EFHC), is scheduled to be opened to teams around the world in 2010. This competition will encourage both design innovation and cost reduction, by requiring design entries to meet 'zero net energy' and 'zero net cost' criteria. For the purposes of this competition, a 'zero net energy' home produces at least as much energy as it purchases over the course of a year, regardless of the time and form of the energy (e.g., electricity, heat, or fuel) consumed or produced. A 'zero net cost' home is no more expensive than a traditional home of comparable size and comfort, when evaluated over the course of a 30-year mortgage. In other words, the 'green premium' must have a payback period less than 30 years, based on the value of energy saved. The overarching goal of the competition is to develop affordable, high-performance homes that can be mass-produced at a large scale, and are able to meet occupant needs in harsh climates (as can be found where the competition will be held in Illinois). This report outlines the goals of the competition, and gauges their feasibility using both modeling results and published data. To ensure that the established rules are challenging, yet reasonable, this report seeks to refine the competition goals after exploring their feasibility through case studies, cost projections, and energy modeling. The authors of this report conducted a survey of the most progressive home energy-efficiency practices expected to appear in competition design submittals. In Appendix A, a summary can be found of recent projects throughout the United States, Canada, Germany, Switzerland, Sweden and Japan, where some of the most progressive technologies have been implemented. As with past energy efficient home projects, EFHC competitors will incorporate a multitude of energy efficiency measures into their home designs. The authors believe that the cost of electricity generated by home generation technologies will continue to exceed the price of US grid electricity in almost all locations. Strategies to minimize whole-house energy demand generally involve some combination of the following measures: optimization of surface (area) to volume ratio; optimization of solar orientation; reduction of envelope loads; systems-based engineering of high efficiency HVAC components, and on-site power generation. A 'Base Case' home energy model was constructed, to enable the team to quantitatively evaluate the merits of various home energy efficiency measures. This Base Case home was designed to have an energy use profile typical of most newly constructed homes in the Champaign-Urbana, Illinois area, where the competition is scheduled to be held. The model was created with the EnergyGauge USA software package, a front-end for the DOE-2 building energy simulation tool; the home is a 2,000 square foot, two-story building with an unconditioned basement, gas heating, a gas hot-water heater, and a family of four. The model specifies the most significant details of a home that can impact its energy use, including location, insulation values, air leakage, heating/cooling systems, lighting, major appliances, hot water use, and other plug loads. EFHC contestants and judges should pay special attention to the Base Case model's defined 'service characteristics' of home amenities such as lighting and appliances. For example, a typical home refrigerator is assumed to have a built-in freezer, automatic (not manual) defrost, and an interior volume of 26 cubic feet. The Base Case home model is described in more detail in Section IV and Appendix B.

Al-Beaini, S.; Borgeson, S.; Coffery, B.; Gregory, D.; Konis, K.; Scown, C.; Simjanovic, J.; Stanley, J.; Strogen, B.; Walker, I.

2009-09-01T23:59:59.000Z

444

Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes  

SciTech Connect

A green building competition, to be known as the Energy Free Home Challenge (EFHC), is scheduled to be opened to teams around the world in 2010. This competition will encourage both design innovation and cost reduction, by requiring design entries to meet 'zero net energy' and 'zero net cost' criteria. For the purposes of this competition, a 'zero net energy' home produces at least as much energy as it purchases over the course of a year, regardless of the time and form of the energy (e.g., electricity, heat, or fuel) consumed or produced. A 'zero net cost' home is no more expensive than a traditional home of comparable size and comfort, when evaluated over the course of a 30-year mortgage. In other words, the 'green premium' must have a payback period less than 30 years, based on the value of energy saved. The overarching goal of the competition is to develop affordable, high-performance homes that can be mass-produced at a large scale, and are able to meet occupant needs in harsh climates (as can be found where the competition will be held in Illinois). This report outlines the goals of the competition, and gauges their feasibility using both modeling results and published data. To ensure that the established rules are challenging, yet reasonable, this report seeks to refine the competition goals after exploring their feasibility through case studies, cost projections, and energy modeling. The authors of this report conducted a survey of the most progressive home energy-efficiency practices expected to appear in competition design submittals. In Appendix A, a summary can be found of recent projects throughout the United States, Canada, Germany, Switzerland, Sweden and Japan, where some of the most progressive technologies have been implemented. As with past energy efficient home projects, EFHC competitors will incorporate a multitude of energy efficiency measures into their home designs. The authors believe that the cost of electricity generated by home generation technologies will continue to exceed the price of US grid electricity in almost all locations. Strategies to minimize whole-house energy demand generally involve some combination of the following measures: optimization of surface (area) to volume ratio; optimization of solar orientation; reduction of envelope loads; systems-based engineering of high efficiency HVAC components, and on-site power generation. A 'Base Case' home energy model was constructed, to enable the team to quantitatively evaluate the merits of various home energy efficiency measures. This Base Case home was designed to have an energy use profile typical of most newly constructed homes in the Champaign-Urbana, Illinois area, where the competition is scheduled to be held. The model was created with the EnergyGauge USA software package, a front-end for the DOE-2 building energy simulation tool; the home is a 2,000 square foot, two-story building with an unconditioned basement, gas heating, a gas hot-water heater, and a family of four. The model specifies the most significant details of a home that can impact its energy use, including location, insulation values, air leakage, heating/cooling systems, lighting, major appliances, hot water use, and other plug loads. EFHC contestants and judges should pay special attention to the Base Case model's defined 'service characteristics' of home amenities such as lighting and appliances. For example, a typical home refrigerator is assumed to have a built-in freezer, automatic (not manual) defrost, and an interior volume of 26 cubic feet. The Base Case home model is described in more detail in Section IV and Appendix B.

Al-Beaini, S.; Borgeson, S.; Coffery, B.; Gregory, D.; Konis, K.; Scown, C.; Simjanovic, J.; Stanley, J.; Strogen, B.; Walker, I.

2009-09-01T23:59:59.000Z

445

Demand Trading: Measurement, Verification, and Settlement (MVS)  

Science Conference Proceedings (OSTI)

With this report, EPRI's trilogy of publications on demand trading is complete. The first report (1006015), the "Demand Trading Toolkit," documented how to conduct demand trading based on price. The second report (1001635), "Demand Trading: Building Liquidity," focused on the problem of liquidity in the energy industry and developed the Demand Response Resource Bank concept for governing electricity markets based on reliability. The present report focuses on the emerging price/risk partnerships in electr...

2004-03-18T23:59:59.000Z

446

Boundedness of adaptive nets is decidable  

Science Conference Proceedings (OSTI)

Boundedness is a relevant property for adaptive systems: creation, composition and destruction of components at runtime introduce different infiniteness dimensions. In this paper we show the decidability of the boundedness for adaptive nets, a subclass ... Keywords: Adaptive nets, Boundedness, Decidability, Theory of computation

Olivia Oanea

2011-08-01T23:59:59.000Z

447

2007 NET SYSTEM POWER REPORT STAFFREPORT  

E-Print Network (OSTI)

-2007.......................................................................5 Figure 3: Natural Gas and Coal Shares of Net System Power Mix Become Larger 1999-2007.....7 List technologies used to generate electricity. Fuel types include coal, natural gas, nuclear, and other fuels of "unclaimed" coal and natural gas generation. Figure 2 illustrates the decrease in net system power between

448

2004 NET SYSTEM POWER CALCULATION COMMISSIONREPORT  

E-Print Network (OSTI)

System Power Self-Generation 5% Net System Power 31% Specific Purchases 64% Nuclear 34046 Wind 4090 Solar Specific Purchases 176,196 GWh Net System Power 85,288 GWh Wind 168 Solar 0 Small Hydro 958 Geothermal 2413 Power 31% Specific Purchases 64% Nuclear 34046 Wind 4090 Solar 743 Small Hydro 3711 Geothermal 11158

449

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

to managing their energy usage. Greater customer willingnessto managing their energy usage. And greater customera net reduction in energy usage. 5 With sufficient advance

Goldman, Charles

2010-01-01T23:59:59.000Z

450

Puerto Rico - Net Metering | Department of Energy  

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

Puerto Rico - Net Metering Puerto Rico - Net Metering Puerto Rico - Net Metering < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Savings Category Energy Sources Buying & Making Electricity Solar Wind Program Info Program Type Net Metering Provider Autoridad de EnergĂ­a Electrica de Puerto Rico Puerto Rico enacted net-metering legislation in August 2007, allowing customers of Puerto Rico Electric Power Authority (PREPA) to use electricity generated by solar, wind or "other" renewable-energy resources to offset their electricity usage. This law applies to residential systems with a generating capacity of up to 25 kilowatts (kW) and non-residential systems up to one megawatt (MW) in capacity.*

451

LADWP - Net Metering (California) | Department of Energy  

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

Net Metering (California) Net Metering (California) LADWP - Net Metering (California) < Back Eligibility Agricultural Commercial General Public/Consumer Industrial Residential Savings Category Solar Buying & Making Electricity Wind Program Info State California Program Type Net Metering Provider Los Angeles Department of Water and Power LADWP allows its customers to net meter their photovoltaic (PV), wind, and hybrid systems with a capacity of not more than one megawatt. LADWP will provide the necessary metering equipment unless an installation requires atypical metering equipment. In these cases the customer must cover the additional metering expenses. The customer must also pay any related interconnection fees. Excess kilowatt-hours (kWh) generated by the customer's system will be

452

Definition: Net Zero | Open Energy Information  

Open Energy Info (EERE)

Zero Zero Jump to: navigation, search Dictionary.png Net Zero A building, home, or community that offsets all of its energy use from renewable energy available within the community's built environment.[1] View on Wikipedia Wikipedia Definition A zero-energy building, also known as a zero net energy (ZNE) building, net-zero energy building (NZEB), or net zero building, is a building with zero net energy consumption and zero carbon emissions annually. Buildings that produce a surplus of energy over the year may be called "energy-plus buildings" and buildings that consume slightly more energy than they produce are called "near-zero energy buildings" or "ultra-low energy houses". Traditional buildings consume 40% of the total fossil fuel energy in the US and European Union and are significant

453

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

E-Print Network (OSTI)

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

Thompson, Lisa

2008-01-01T23:59:59.000Z

454

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network (OSTI)

and Techniques for Demand Response, report for theand Reliability Demand Response Programs: Final Report.Demand Response

McKane, Aimee T.

2009-01-01T23:59:59.000Z

455

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

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

Kiliccote, Sila

2010-01-01T23:59:59.000Z

456

Effects of the drought on California electricity supply and demand  

E-Print Network (OSTI)

DEMAND . . . .Demand for Electricity and Power PeakDemand . . • . . ELECTRICITY REQUIREMENTS FOR AGRICULTUREResults . . Coriclusions ELECTRICITY SUPPLY Hydroelectric

Benenson, P.

2010-01-01T23:59:59.000Z

457

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

14 Peak Demand Baselinewinter morning electric peak demand in commercial buildings.California to reduce peak demand during summer afternoons,

Kiliccote, Sila

2010-01-01T23:59:59.000Z

458

Price-elastic demand in deregulated electricity markets  

E-Print Network (OSTI)

by the amount of electricity demand that is settled forward.unresponsive demand side, electricity demand has to be metxed percentage of overall electricity demand. The ISO, thus,

Siddiqui, Afzal S.

2003-01-01T23:59:59.000Z

459

Building Energy Software Tools Directory : Demand Response Quick...  

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

Demand Response Quick Assessment Tool Back to Tool Demand response quick assessment tool screenshot Demand response quick assessment tool screenshot Demand response quick...

460

Automated Demand Response Strategies and Commissioning Commercial Building Controls  

E-Print Network (OSTI)

Braun (Purdue). 2004. Peak demand reduction from pre-coolingthe average and maximum peak demand savings. The electricityuse charges, demand ratchets, peak demand charges, and other

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

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "naics net demand" 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

Developing Japanese WordNet Affect for analyzing emotions  

Science Conference Proceedings (OSTI)

This paper reports the development of Japanese WordNet Affect from the English WordNet Affect lists with the help of English SentiWordNet and Japanese WordNet. Expanding the available synsets of the English WordNet Affect ...

Yoshimitsu Torii; Dipankar Das; Sivaji Bandyopadhyay; Manabu Okumura

2011-06-01T23:59:59.000Z

462

Computer Literacy Skills of Net Generation Learners  

E-Print Network (OSTI)

Younger learners are widely considered to be technologically savvy and computer literate because of their lifelong exposure to ubiquitous technology. Educators often rely on that assumption to justify changes to institutional curricula, technology initiatives, new classroom strategies, and calls for educators to meet the educational demands of the younger generation. This study examines the computer literacy skills of Net Generation Learners (NGLs). This dissertation is composed of a systematic literature review, an examination of learner computer literacy skills prior to completing a college level course, and an investigation of the effects of different types of instruction on learner computer literacy skills. In the systematic literature review, identified studies focused primarily on learner familiarity with emerging technologies and relied heavily on self-reported data. Few studies directly measured learner computer literacy skills, and none compared the skills of NGLs and non-NGLs. A causal-comparative examination of learner computer literacy skills prior to a college level computer literacy course found that both NGLs and non-NGLs exhibited inadequate computer literacy skill. A 1-way ANOVA indicated NGLs performed significantly better than non-NGLs on a computer literacy skills assessment; however, examining learner age as a continuous variable via regression yielded different results. There may be validity to claims regarding the comparative computer proficiency of NGLs to non-NGLs, but the level of skill exhibited by learners does not warrant calls for radical educational changes, and the imprecision of arbitrarily defining age as a dichotomous variable produces potentially erroneous results. The effect of type of instruction on learner computer literacy skills was explored. Based on the results in this study, direct instruction focused on a comprehensive scope of computer literacy skills better supports learner acquisition of skills than does informal instruction or instruction focused on a limited range of skills. Future research should use statistical methods that analyze age as a continuous variable while continuing to examine directly the comparative computer literacy skills of NGLs and non-NGLs at all levels of education. Further inquiry into the effectiveness of different types of instruction to support learner acquisition of computer literacy skills should also be conducted.

Duke, Christopher

2011-05-01T23:59:59.000Z

463

Table 5.4 End Uses of Fuel Consumption, 2010;  

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

4 End Uses of Fuel Consumption, 2010; 4 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 2,886 79 130 5,211 69 868 Indirect Uses-Boiler Fuel 44 46 19 2,134 10 572 Conventional Boiler Use 44 20 4 733 3 72 CHP and/or Cogeneration Process -- 26 15 1,401 7 500 Direct Uses-Total Process 2,304 26 54 2,623 29 289 Process Heating 318 25 14 2,362 24 280 Process Cooling and Refrigeration

464

table5.3_02  

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

3 End Uses of Fuel Consumption, 2002; 3 End Uses of Fuel Consumption, 2002; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Net Demand Fuel Oil Coal for Residual and Natural LPG and (excluding Coal RSE NAICS Electricity(b) Fuel Oil Diesel Fuel(c) Gas(d) NGL(e) Coke and Breeze) Row Code(a) End Use (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) (million short tons) Factors Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES RSE Column Factors: NF 1 2.4 1.1 1.4 1 TOTAL FUEL CONSUMPTION 966,231 33 24 5,641 26 53 3.4 Indirect Uses-Boiler Fuel 6,714 20 6 2,105 2 35 5.3 Conventional Boiler Use

465

Demand Response Valuation Frameworks Paper  

Science Conference Proceedings (OSTI)

While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This ''utility centric'' approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches. This report provides an updated perspective on the DR valuation framework. It includes an introduction and four chapters that address the key elements of demand response valuation, a comprehensive literature review, and specific research recommendations.

Heffner, Grayson

2009-02-01T23:59:59.000Z

466

Demand Side Bidding. Final Report  

SciTech Connect

This document sets forth the final report for a financial assistance award for the National Association of Regulatory Utility Commissioners (NARUC) to enhance coordination between the building operators and power system operators in terms of demand-side responses to Location Based Marginal Pricing (LBMP). Potential benefits of this project include improved power system reliability, enhanced environmental quality, mitigation of high locational prices within congested areas, and the reduction of market barriers for demand-side market participants. NARUC, led by its Committee on Energy Resources and the Environment (ERE), actively works to promote the development and use of energy efficiency and clean distributive energy policies within the framework of a dynamic regulatory environment. Electric industry restructuring, energy shortages in California, and energy market transformation intensifies the need for reliable information and strategies regarding electric reliability policy and practice. NARUC promotes clean distributive generation and increased energy efficiency in the context of the energy sector restructuring process. NARUC, through ERE's Subcommittee on Energy Efficiency, strives to improve energy efficiency by creating working markets. Market transformation seeks opportunities where small amounts of investment can create sustainable markets for more efficient products, services, and design practices.

Spahn, Andrew

2003-12-31T23:59:59.000Z

467

Net energy from nuclear power  

SciTech Connect

An analysis of net energy from nuclear power plants is dependent on a large number of variables and assumptions. The energy requirements as they relate to reactor type, concentration of uranium in the ore, enrichment tails assays, and possible recycle of uranium and plutonium were examined. Specifically, four reactor types were considered: pressurized water reactor, boiling water reactor, high temperature gas-cooled reactor, and heavy water reactor (CANDU). The energy requirements of systems employing both conventional (current) ores with uranium concentration of 0.176 percent and Chattanooga Shales with uranium concentration of 0.006 percent were determined. Data were given for no recycle, uranium recycle only, and uranium plus plutonium recycle. Starting with the energy requirements in the mining process and continuing through fuel reprocessing and waste storage, an evaluation of both electrical energy requirements and thermal energy requirements of each process was made. All of the energy, direct and indirect, required by the processing of uranium in order to produce electrical power was obtained by adding the quantities for the individual processes. The energy inputs required for the operation of a nuclear power system for an assumed life of approximately 30 years are tabulated for nine example cases. The input requirements were based on the production of 197,100,000 MWH(e), i.e., the operation of a 1000 MW(e) plant for 30 years with an average plant factor of 0.75. Both electrical requirements and thermal energy requirements are tabulated, and it should be emphasized that both quantities are needed. It was found that the electricity generated far exceeded the energy input requirements for all the cases considered. (auth)

Rotty, R.M.; Perry, A.M.; Reister, D.B.

1975-11-01T23:59:59.000Z

468

A Field Comparison among a Domeless Net Radiometer, Two Four-Component Net Radiometers, and a Domed Net Radiometer  

Science Conference Proceedings (OSTI)

The Kipp & Zonen NR-Lite is a newly designed domeless net radiometer. In preparation for the Oklahoma Atmospheric Surface-layer Instrumentation System (OASIS) Project, the NR-Lite was rigorously field tested for over eight months during 1998. ...

J. A. Brotzge; C. E. Duchon

2000-12-01T23:59:59.000Z

469

Distillate Demand Strong in December 1999  

Gasoline and Diesel Fuel Update (EIA)

5% higher than in the prior year, due mainly to diesel demand growth, since warm weather kept heating oil demand from growing much. Last December, when stocks dropped below...

470

Solar in Demand | Department of Energy  

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

in Demand Solar in Demand June 15, 2012 - 10:23am Addthis Kyle Travis, left and Jon Jackson, with Lighthouse Solar, install microcrystalline PV modules on top of Kevin Donovan's...

471

Demand Response - Policy | Department of Energy  

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

over the last 11 years when interest in demand response increased. Demand response is an electricity tariff or program established to motivate changes in electric use by end-use...

472

Energy Basics: Tankless Demand Water Heaters  

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

only as needed and without the use of a storage tank. They don't produce the standby energy losses associated with storage water heaters. How Demand Water Heaters Work Demand...

473

Propane Demand by Sector - Energy Information Administration  

U.S. Energy Information Administration (EIA)

In order to understand markets you also have to look at supply and demand. First, demand or who uses propane. For the most part, the major components of propane ...

474

Travel Behavior and Demand Analysis and Prediction  

E-Print Network (OSTI)

and Demand Analysis and Prediction Konstadinos G. Goulias University of California Santa Barbara, Santa Barbara, CA, USA

Goulias, Konstadinos G

2007-01-01T23:59:59.000Z

475

Forecasting the demand for commercial telecommunications satellites  

Science Conference Proceedings (OSTI)

This paper summarizes the key elements of a forecast methodology for predicting demand for commercial satellite services and the resulting demand for satellite hardware and launches. The paper discusses the characterization of satellite services into more than a dozen applications (including emerging satellite Internet applications) used by Futron Corporation in its forecasts. The paper discusses the relationship between demand for satellite services and demand for satellite hardware

Carissa Bryce Christensen; Carie A. Mullins; Linda A. Williams

2001-01-01T23:59:59.000Z

476

Released: March 2010  

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

3 Relative Standard Errors for Table 5.3;" 3 Relative Standard Errors for Table 5.3;" " Unit: Percents." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million" "Code(a)","End Use","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons

477

RSE Table 5.4 Relative Standard Errors for Table 5.4  

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

4 Relative Standard Errors for Table 5.4;" 4 Relative Standard Errors for Table 5.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"TOTAL FUEL CONSUMPTION",2,3,6,2,3,9

478

"Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," Gas(d)","NGL(e)","Coke and Breeze)"  

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

3 Relative Standard Errors for Table 5.3;" 3 Relative Standard Errors for Table 5.3;" " Unit: Percents." " "," " " "," ",," ","Distillate"," "," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" "NAICS"," ","for ","Residual","and","Natural","LPG and","(excluding Coal" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," Gas(d)","NGL(e)","Coke and Breeze)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"TOTAL FUEL CONSUMPTION",2,3,6,2,4,9

479

Forecasting Uncertain Hotel Room Demand  

E-Print Network (OSTI)

Economic systems are characterized by increasing uncertainty in their dynamics. This increasing uncertainty is likely to incur bad decisions that can be costly in financial terms. This makes forecasting of uncertain economic variables an instrumental activity in any organization. This paper takes the hotel industry as a practical application of forecasting using the Holt-Winters method. The problem here is to forecast the uncertain demand for rooms at a hotel for each arrival day. Forecasting is part of hotel revenue management system whose objective is to maximize the revenue by making decisions regarding when to make rooms available for customers and at what price. The forecast approach discussed in this paper is based on quantitative models and does not incorporate management expertise. Even though, forecast results are found to be satisfactory for certain days, this is not the case for other arrival days. It is believed that human judgment is important when dealing with ...

Mihir Rajopadhye Mounir; Mounir Ben Ghaliay; Paul P. Wang; Timothy Baker; Craig V. Eister

2001-01-01T23:59:59.000Z

480

Millenial Net Inc | Open Energy Information  

Open Energy Info (EERE)

Millenial Net Inc Millenial Net Inc Jump to: navigation, search Name Millenial Net, Inc. Place Burlington, Massachusetts Zip MA 01803 Sector Services Product Millennial Net is a US-based developer of wireless sensor networking software, systems, and services. Coordinates 44.446275°, -108.431704° 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":44.446275,"lon":-108.431704,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

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481

Working and Net Available Shell Storage Capacity  

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

Working and Net Available Shell Storage Capacity Working and Net Available Shell Storage Capacity With Data for September 2013 | Release Date: November 27, 2013 | Next Release Date: May 29, 2013 Previous Issues Year: September 2013 March 2013 September 2012 March 2012 September 2011 March 2011 September 2010 Go Containing storage capacity data for crude oil, petroleum products, and selected biofuels. The report includes tables detailing working and net available shell storage capacity by type of facility, product, and Petroleum Administration for Defense District (PAD District). Net available shell storage capacity is broken down further to show the percent for exclusive use by facility operators and the percent leased to others. Crude oil storage capacity data are also provided for Cushing, Oklahoma, an

482

Definition: Net generation | Open Energy Information  

Open Energy Info (EERE)

Net generation Net generation Jump to: navigation, search Dictionary.png Net generation Equal to gross generation less electrical energy consumed at the generating station(s).[1][2] View on Wikipedia Wikipedia Definition Related Terms Electricity generation, Gross generation, power, gross generation References ↑ http://www1.eere.energy.gov/site_administration/glossary.html#N ↑ http://205.254.135.24/tools/glossary/index.cfm?id=N Retrie LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ved from "http://en.openei.org/w/index.php?title=Definition:Net_generation&oldid=480320" Category: Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load)

483

,"Washington Natural Gas Underground Storage Net Withdrawals...  

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

Natural Gas Underground Storage Net Withdrawals (MMcf)" 32888,-1451 32919,-3625 32947,-1954 32978,-938 33008,0 33039,2640 33069,2937 33100,2937 33131,1069 33161,205 33192,81...

484

Definition of a 'Zero Net Energy' Community  

SciTech Connect

This document provides a definition for a net zero-energy community. A community that offsets all of its energy use from renewables available within the community's built environment.

Carlisle, N.; Van Geet, O.; Pless, S.

2009-11-01T23:59:59.000Z

485

,"California Natural Gas Underground Storage Net Withdrawals...  

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

,,"(202) 586-8800",,,"10312013 6:20:37 PM" "Back to Contents","Data 1: California Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070CA2"...

486

Diagnosability verification with Petri net unfoldings  

Science Conference Proceedings (OSTI)

Complex systems increasingly require safety and robustness with regards to faults occurrences, and diagnosability is a key property to ensure this at design stage. This paper demonstrates how Petri net unfoldings, which have been proven to elevate the ...

Agnes Madalinski; Farid Nouioua; Philippe Dague

2010-04-01T23:59:59.000Z

487

SIXTH FRAMEWORK PROGRAMME PRIORITY "ERA-NET"  

E-Print Network (OSTI)

.........................................................................................32 4.4 Hydrogen storage and distribution Co-ordination Action to Establish a Hydrogen and Fuel Cell ERA-Net, Hydrogen Co- ordination Work Chapter 2: Energy basics of the EU-25......................................................... 16 Chapter

488

American PowerNet | Open Energy Information  

Open Energy Info (EERE)

Name American PowerNet Place Pennsylvania Utility Id 49730 Utility Location Yes Ownership R Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 -...

489

Augmenting WordNet's structure using LDOCE  

Science Conference Proceedings (OSTI)

We propose an algorithm that will augment the structure of WordNet with links between the noun and verb hierarchies, by using word definitions extracted from Longman's Dictionary of Contemporary English. The results obtained show that a simple algorithm ...

Vivi Nastase; Stan Szpakowicz

2003-02-01T23:59:59.000Z

490

Forecasting demand of commodities after natural disasters  

Science Conference Proceedings (OSTI)

Demand forecasting after natural disasters is especially important in emergency management. However, since the time series of commodities demand after natural disasters usually has a great deal of nonlinearity and irregularity, it has poor prediction ... Keywords: ARIMA, Demand forecasting, EMD, Emergency management, Natural disaster

Xiaoyan Xu; Yuqing Qi; Zhongsheng Hua

2010-06-01T23:59:59.000Z

491

Leveraging gamification in demand dispatch systems  

Science Conference Proceedings (OSTI)

Modern demand-side management techniques are an integral part of the envisioned smart grid paradigm. They require an active involvement of the consumer for an optimization of the grid's efficiency and a better utilization of renewable energy sources. ... Keywords: demand response, demand side management, direct load control, gamification, smart grid, sustainability

Benjamin Gnauk; Lars Dannecker; Martin Hahmann

2012-03-01T23:59:59.000Z

492

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

493

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

494

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

495

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

496

FINAL STAFF FORECAST OF 2008 PEAK DEMAND  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION FINAL STAFF FORECAST OF 2008 PEAK DEMAND STAFFREPORT June 2007 CEC-200 of the information in this paper. #12;Abstract This document describes staff's final forecast of 2008 peak demand demand forecasts for the respective territories of the state's three investor-owned utilities (IOUs

497

Ups and downs of demand limiting  

SciTech Connect

Electric power load management by limiting power demand can be used for energy conservation. Methods for affecting demand limiting, reducing peak usage in buildings, particularly usage for heating and ventilating systems, and power pricing to encourage demand limiting are discussed. (LCL)

Pannkoke, T.

1976-12-01T23:59:59.000Z

498

US Crude Oil Production Surpasses Net Imports | Department of...  

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

US Crude Oil Production Surpasses Net Imports US Crude Oil Production Surpasses Net Imports Source: Energy Information Administration Short Term Energy Outlook...

499

Texas Natural Gas Underground Storage Net Withdrawals (Million...  

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

View History: Monthly Annual Download Data (XLS File) Texas Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Texas Natural Gas Underground Storage Net...

500

Austin Energy - Net Metering (Texas) | Department of Energy  

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

Other Agencies You are here Home Savings Austin Energy - Net Metering (Texas) Austin Energy - Net Metering (Texas) Eligibility Commercial Savings For Bioenergy...