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


1

" by Type of Supplier, Census Region, Census Division, Industry Group,"  

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

3. Average Prices of Purchased Electricity and Steam" 3. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Dollars per Physical Units)" ,," Electricity",," Steam" ,," (kWh)",," (million Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

2

" of Supplier, Census Region, Census Division, and Economic Characteristics"  

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

Quantity of Purchased Electricity and Steam by Type" Quantity of Purchased Electricity and Steam by Type" " of Supplier, Census Region, Census Division, and Economic Characteristics" " of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ," Electricity",," Steam" ," (million kWh)",," (billion Btu)" ,,,,,"RSE" " ","Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

3

" Census Region, Census Division, Industry Group, and Selected Industries, 1994"  

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

Quantity of Purchased Electricity and Steam by Type of Supplier," Quantity of Purchased Electricity and Steam by Type of Supplier," " Census Region, Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam" ,," (million kWh)",," (billion Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

4

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"

5

"Table HC13.13 Lighting Usage Indicators by South Census Region...  

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

3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

6

"Table HC12.13 Lighting Usage Indicators by Midwest Census Region...  

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

3 Lighting Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

7

"Table HC14.13 Lighting Usage Indicators by West Census Region...  

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

3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West"...

8

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,," Census Region",,,,,,,"Census Division",,,,,"RSE" "SIC"," ",,,,,,,"Middle","East North","West North","South","East South","West South",,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","New England","Atlantic","Central","Central","Atlantic","Central","Central","Mountain","Pacific","Factors"

9

" Electricity Generation by Census Region, Census Division, Industry Group, and"  

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

A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" " Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," ","Waste"," " " "," "," ","Blast"," "," "," "," ","Oils/Tars","RSE" "SIC"," "," ","Furnace/Coke"," ","Petroleum","Pulping","Wood Chips,","And Waste","Row"

10

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 1" " (Estimates in Trillion Btu)",," ",,,,,,," "," "," " ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion ","Combined-Cycle","Internal Combustion","Heat Recovered from","Cogeneration",,"RSE"

11

" and Electricity Generation by Census Region, Census Division, Industry Group,"  

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

3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," 3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," " and Electricity Generation by Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Billion Btu)" ,,,,"Selected Wood and Wood-Related Products" ,,,,,"Biomass" " "," ",," "," "," ","Wood Residues","Wood-Related"," " " "," ","Pulping Liquor",," ","Wood Harvested","and Byproducts","and","RSE" "SIC"," ","or","Biomass","Agricultural","Directly","from","Paper-Related","Row"

12

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," "," "," " ,," ","Computer Control","or Major",,,"One or More"," ","RSE",," " "SIC"," ",,"of Building","Energy-Using","Waste Heat"," Adjustable-Speed","General Technologies","None","Row"

13

U.S. Census Regions and Divisions Map for Commercial Buildings  

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

Background Information on CBECS > Census Regions and Divisions Map U. S. Census Regions and Divisions: Map of the U.S. Census Regions and Divisions Return to CBECS Home Page...

14

"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"

15

Hanford Site Regional Population - 2010 Census  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy conducts radiological operations in south-central Washington State. Population dose estimates must be performed to provide a measure of the impact from site radiological releases. Results of the U.S. 2010 Census were used to determine counts and distributions for the residential population located within 50-miles of several operating areas of the Hanford Site. Year 2010 was the first census year that a 50-mile population of a Hanford Site operational area exceeded the half-million mark.

Hamilton, Erin L.; Snyder, Sandra F.

2011-08-12T23:59:59.000Z

16

Table HC14.8 Water Heating Characteristics by West Census Region ...  

U.S. Energy Information Administration (EIA)

Table HC14.8 Water Heating Characteristics by West Census Region, 2005 Million U.S. Housing Units Water Heating Characteristics Mountain Pacific West Census Region

17

Figure 1. Census Regions and Divisions  

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

US Federal Region Map US Federal Region Map US Federal Regions/> Region 1 Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont Region 2 New Jersey, New York Region 3 Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia Region 4 Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee Region 5 Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin Region 6 Arkansas, Louisiana, New Mexico, Oklahoma, Texas Region 7 Iowa, Kansas, Missouri, Nebraska Region 8 Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming Region 9 Arizona, California, Hawaii, Nevada Region 10 Alaska, Idaho, Oregon, Washington Source: Energy Information Administration, Office of Coal, Nuclear, Electric and Alternate Fuels.

18

"Table A33. Total Quantity of Purchased Energy Sources by Census Region, Census Division,"  

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

Quantity of Purchased Energy Sources by Census Region, Census Division," Quantity of Purchased Energy Sources by Census Region, Census Division," " and Economic Characteristics of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ,,,,,"Natural",,,"Coke" " ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze","Other(d)","RSE" " ","(trillion","(million","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000 ","(1000","(trillion","Row" "Economic Characteristics(a)","Btu)","kWh)","(1000 bbl)","(1000 bbl)","cu ft)","(1000 bbl)","short tons)","short tons)","Btu)","Factors"

19

1999 Commercial Buildings Characteristics--Census Region  

Annual Energy Outlook 2012 (EIA)

and population were found in the South region, while the Northeast had the smallest percentage of each (less than 20 percent). Detailed tables Figure 1. Percentage of Buildings,...

20

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region...  

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

3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Mi...

Note: This page contains sample records for the topic "type census region" 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

Table HC1-11a. Housing Unit Characteristics by South Census Region,  

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

1a. Housing Unit Characteristics by South Census Region, 1a. Housing Unit Characteristics by South Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.4 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Census Region and Division Northeast ..................................................... 20.3 -- -- -- -- NF New England ............................................. 5.4 -- -- -- -- NF Middle Atlantic ........................................... 14.8 -- -- -- -- NF Midwest ....................................................... 24.5 -- -- -- -- NF East North Central .....................................

22

Table HC1-12a. Housing Unit Characteristics by West Census Region,  

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

2a. Housing Unit Characteristics by West Census Region, 2a. Housing Unit Characteristics by West Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Census Region and Division Northeast ..................................................... 20.3 -- -- -- NF New England ............................................. 5.4 -- -- -- NF Middle Atlantic ........................................... 14.8 -- -- -- NF Midwest ....................................................... 24.5 -- -- -- NF East North Central ..................................... 17.1 -- -- -- NF West North Central ....................................

23

"Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"  

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

2 Home Electronics Usage Indicators by Northeast Census Region, 2005" 2 Home Electronics Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Electronics Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,5.3,1.6 "Use a Personal Computer",75.6,13.7,9.8,3.9 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,10.4,7.3,3.1 "Laptop Model",16.9,3.3,2.6,0.7 "Hours Turned on Per Week" "Less than 2 Hours",13.6,2.4,1.8,0.6

24

"Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" 7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Air Conditioning Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Cooling Equipment",17.8,4,2.4,1.7 "Have Cooling Equipment",93.3,16.5,12.8,3.8 "Use Cooling Equipment",91.4,16.3,12.6,3.7 "Have Equipment But Do Not Use it",1.9,0.3,"Q","Q" "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,5.2,0.8 "Without a Heat Pump",53.5,5.5,4.8,0.7

25

"Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"  

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

2 Home Electronics Usage Indicators by Midwest Census Region, 2005" 2 Home Electronics Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Electronics Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Personal Computers" "Do Not Use a Personal Computer",35.5,8.1,5.6,2.5 "Use a Personal Computer",75.6,17.5,12.1,5.4 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,14.1,10,4 "Laptop Model",16.9,3.4,2.1,1.3 "Hours Turned on Per Week" "Less than 2 Hours",13.6,3.4,2.5,0.9

26

"Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"  

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

2 Home Electronics Usage Indicators by West Census Region, 2005" 2 Home Electronics Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Electronics Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.4,2.2,4.2 "Use a Personal Computer",75.6,17.8,5.3,12.5 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,13.7,4.2,9.5 "Laptop Model",16.9,4.1,1.1,3 "Hours Turned on Per Week" "Less than 2 Hours",13.6,2.9,0.9,2 "2 to 15 Hours",29.1,6.6,2,4.6

27

"Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by South Census Region, 2005" 7 Air-Conditioning Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Air Conditioning Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Cooling Equipment",17.8,1.4,0.8,0.2,0.3 "Have Cooling Equipment",93.3,39.3,20.9,6.7,11.8 "Use Cooling Equipment",91.4,38.9,20.7,6.6,11.7 "Have Equipment But Do Not Use it",1.9,0.5,"Q","Q","Q" "Type of Air-Conditioning Equipment1, 2"

28

Table HC4-12a. Air Conditioning by West Census Region, Million U.S ...  

U.S. Energy Information Administration (EIA)

Table HC4-12a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S.

29

Table HC4-9a. Air Conditioning by Northeast Census Region, Million ...  

U.S. Energy Information Administration (EIA)

Table HC4-9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total

30

"Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

7. Total Expenditures for Purchased Energy Sources by Census Region," 7. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

31

"Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

6. Total Expenditures for Purchased Energy Sources by Census Region," 6. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Group and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States"

32

"Table A27. Components of Onsite Electricity Generation by Census Region,"  

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

Components of Onsite Electricity Generation by Census Region," Components of Onsite Electricity Generation by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" ," "," "," "," " " "," "," "," ",," ","RSE" "SIC"," "," "," ",," ","Row" "Code(a)","Industry Group and Industry","Total","Cogeneration","Renewables","Other(b)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,0.8,1.6,1 , 20,"Food and Kindred Products",6962,6754,90,118,11.2

33

Table A28. Components of Onsite Electricity Generation by Census Region, Cens  

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

Components of Onsite Electricity Generation by Census Region, Census Division, and" Components of Onsite Electricity Generation by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" ,,,"Renewables" ,,,"(excluding Wood",,"RSE" " "," "," ","and"," ","Row" "Economic Characteristics(a)","Total","Cogeneration(b)","Other Biomass)(c)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:",0.6,0.6,1.8,1.4 "Value of Shipments and Receipts" "(million dollars)" " Under 20",1098,868," W "," W ",22.3

34

"Table A28. Total Expenditures for Purchased Energy Sources by Census Region"  

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

Total Expenditures for Purchased Energy Sources by Census Region" Total Expenditures for Purchased Energy Sources by Census Region" " and Economic Characteristics of the Establishment, 1991" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

35

"Table A17. Components of Onsite Electricity Generation by Census Region,"  

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

7. Components of Onsite Electricity Generation by Census Region," 7. Components of Onsite Electricity Generation by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," "," ","RSE" "SIC"," "," "," "," "," ","Row" "Code(a)","Industry Groups and Industry","Total","Cogeneration","Renewables","Other(b)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,0.8,1.4,1.2

36

Table HC1-10a. Housing Unit Characteristics by Midwest Census Region,  

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

0a. Housing Unit Characteristics by Midwest Census Region, 0a. Housing Unit Characteristics by Midwest Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.8 Total .............................................................. 107.0 24.5 17.1 7.4 NE Census Region and Division Northeast ..................................................... 20.3 -- -- -- NF New England ............................................. 5.4 -- -- -- NF Middle Atlantic ........................................... 14.8 -- -- -- NF Midwest ....................................................... 24.5 24.5 17.1 7.4 NF East North Central ..................................... 17.1 17.1

37

Table HC1-9a. Housing Unit Characteristics by Northeast Census Region,  

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

9a. Housing Unit Characteristics by Northeast Census Region, 9a. Housing Unit Characteristics by Northeast Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Census Region and Division Northeast ..................................................... 20.3 20.3 14.8 5.4 NF New England ............................................. 5.4 5.4 Q 5.4 NF Middle Atlantic ........................................... 14.8 14.8 14.8 Q NF Midwest ....................................................... 24.5 -- -- -- NF East North Central ..................................... 17.1 -- -- -- NF

38

"Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" 7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Air Conditioning Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Cooling Equipment",17.8,4,2.1,1.4,10.3 "Have Cooling Equipment",93.3,16.5,23.5,39.3,13.9 "Use Cooling Equipment",91.4,16.3,23.4,38.9,12.9 "Have Equipment But Do Not Use it",1.9,0.3,"Q",0.5,1 "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,17.3,32.1,10.5 "Without a Heat Pump",53.5,5.5,16.2,23.2,8.7

39

"Table A32. Total Quantity of Purchased Energy Sources by Census Region,"  

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

Quantity of Purchased Energy Sources by Census Region," Quantity of Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,,,,,,"Natural",,,"Coke" " "," ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","(trillion","(million","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000","(1000","Other(d)","Row" "Code(a)","Industry Group and Industry","Btu)","kWh)","(1000 bbl)","(1000 bbl)","cu ft)","(1000 bbl)","short tons)","short tons)","(trillion Btu)","Factors"

40

Table HC13.8 Water Heating Characteristics by South Census Region ...  

U.S. Energy Information Administration (EIA)

No Separate Water Heater..... 3.4 0.9 0.6 Q Q Total South Table HC13.8 Water Heating Characteristics by South Census Region, 2005 Million U.S. Housing Units ...

Note: This page contains sample records for the topic "type census region" 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

" Generation by Census Region, Industry Group, Selected Industries, Presence of"  

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

4. Total Inputs of Energy for Heat, Power, and Electricity" 4. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, Presence of" " General Technologies, and Industry-Specific Technologies for Selected" " Industries, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.3

42

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)"

43

"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"

44

"Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"  

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

3 Lighting Usage Indicators by Northeast Census Region, 2005" 3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Lighting Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,16.8,12.2,4.6 "1.",28.6,5,3.5,1.5 "2.",29.5,6.2,4.8,1.4 "3.",14.7,2.5,1.7,0.8 "4.",9.3,1.5,1.1,0.4 "5 or More",9.7,1.6,1.1,0.5 "Energy-Efficient Bulbs Used",31.1,5.2,3.6,1.6

45

"Table HC13.2 Living Space Characteristics by South Census Region, 2005"  

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

2 Living Space Characteristics by South Census Region, 2005" 2 Living Space Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Living Space Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.9,0.6,"Q","Q" "500 to 999",23.8,9,4.2,1.5,3.2 "1,000 to 1,499",20.8,8.6,4.7,1.5,2.5 "1,500 to 1,999",15.4,6,2.9,1.2,1.9 "2,000 to 2,499",12.2,4.1,2.1,0.7,1.3 "2,500 to 2,999",10.3,3,1.8,0.5,0.7

46

"Table HC12.1 Housing Unit Characteristics by Midwest Census Region, 2005"  

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

Housing Unit Characteristics by Midwest Census Region, 2005" Housing Unit Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Housing Unit Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Urban/Rural Location (as Self-Reported)" "City",47.1,9.7,7.3,2.4 "Town",19,5,2.9,2.1 "Suburbs",22.7,5.7,4.3,1.4 "Rural",22.3,5.2,3.3,1.9 "Climate Zone1" "Less than 2,000 CDD and--" "Greater than 7,000 HDD",10.9,6.9,4.9,"Q" "5,500 to 7,000 HDD",26.1,12.3,9.9,"Q"

47

"Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"  

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

3 Lighting Usage Indicators by South Census Region, 2005" 3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Lighting Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,33.8,17.5,6.1,10.3 "1.",28.6,11.2,6.5,1.5,3.2 "2.",29.5,10.5,5.4,2,3.1 "3.",14.7,5,2.1,1.2,1.7 "4.",9.3,3.4,1.5,0.8,1.2 "5 or More",9.7,3.7,1.9,0.6,1.2

48

"Table HC13.9 Home Appliances Characteristics by South Census Region, 2005"  

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

3.9 Home Appliances Characteristics by South Census Region, 2005" 3.9 Home Appliances Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Appliances Characteristics",,,"South Atlantic","East South Central","West South Central" "Total U.S.",111.1,40.7,21.7,6.9,12.1 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,40.2,21.5,6.8,11.9 "1.",103.3,38.2,20.5,6.4,11.3 "2 or More",6.2,2.1,1,0.4,0.7 "Do Not Use an Oven",1.5,0.5,"Q","Q","Q" "Most-Used Oven Fuel" "Electric",67.9,30.1,17.3,5.6,7.1

49

"Table HC11.2 Living Space Characteristics by Northeast Census Region, 2005"  

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

2 Living Space Characteristics by Northeast Census Region, 2005" 2 Living Space Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Living Space Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.9,0.5,0.4 "500 to 999",23.8,4.6,3.6,1.1 "1,000 to 1,499",20.8,2.8,2.2,0.6 "1,500 to 1,999",15.4,1.9,1.4,0.5 "2,000 to 2,499",12.2,2.3,1.7,0.5 "2,500 to 2,999",10.3,2.2,1.7,0.6 "3,000 to 3,499",6.7,1.6,1,0.6

50

"Table HC11.6 Air Conditioning Characteristics by Northeast Census Region, 2005"  

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

6 Air Conditioning Characteristics by Northeast Census Region, 2005" 6 Air Conditioning Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Air Conditioning Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Cooling Equipment",17.8,4,2.4,1.7 "Have Coolling Equipment",93.3,16.5,12.8,3.8 "Use Cooling Equipment",91.4,16.3,12.6,3.7 "Have Equipment But Do Not Use it",1.9,0.3,"Q","Q" "Air-Conditioning Equipment1, 2 " "Central System",65.9,6,5.2,0.8 "Without a Heat Pump",53.5,5.5,4.8,0.7

51

"Table HC12.8 Water Heating Characteristics by Midwest Census Region, 2005"  

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

8 Water Heating Characteristics by Midwest Census Region, 2005" 8 Water Heating Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Water Heating Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Number of Water Heaters" "1.",106.3,24.5,17.1,7.4 "2 or More",3.7,0.9,0.5,0.4 "Do Not Use Hot Water",1.1,"Q","Q","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,23.5,16.2,7.3 "Two or More Housing Units",10.3,1.9,1.4,0.5 "Do Not Use Hot Water",1.1,"Q","Q","Q"

52

"Table HC13.4 Space Heating Characteristics by South Census Region, 2005"  

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

4 Space Heating Characteristics by South Census Region, 2005" 4 Space Heating Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Space Heating Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Space Heating Equipment",1.2,"Q","Q","N","Q" "Have Main Space Heating Equipment",109.8,40.3,21.4,6.9,12 "Use Main Space Heating Equipment",109.1,40.1,21.2,6.9,12 "Have Equipment But Do Not Use It",0.8,"Q","Q","N","N"

53

"Table HC12.9 Home Appliances Characteristics by Midwest Census Region, 2005"  

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

2.9 Home Appliances Characteristics by Midwest Census Region, 2005" 2.9 Home Appliances Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Appliances Characteristics",,,"East North Central","West North Central" "Total U.S.",111.1,25.6,17.7,7.9 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,25.3,17.6,7.7 "1.",103.3,24,16.8,7.3 "2 or More",6.2,1.3,0.8,0.5 "Do Not Use an Oven",1.5,0.3,"Q","Q" "Most-Used Oven Fuel" "Electric",67.9,14.7,9.5,5.2 "Natural Gas",36.4,9.6,7.5,2.1

54

"Table HC14.4 Space Heating Characteristics by West Census Region, 2005"  

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

4 Space Heating Characteristics by West Census Region, 2005" 4 Space Heating Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Space Heating Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Do Not Have Space Heating Equipment",1.2,0.7,"Q",0.7 "Have Main Space Heating Equipment",109.8,23.4,7.5,16 "Use Main Space Heating Equipment",109.1,22.9,7.4,15.4 "Have Equipment But Do Not Use It",0.8,0.6,"Q",0.5 "Main Heating Fuel and Equipment" "Natural Gas",58.2,14.7,4.6,10.1 "Central Warm-Air Furnace",44.7,11.4,4,7.4

55

"Table HC13.11 Home Electronics Characteristics by South Census Region, 2005"  

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

1 Home Electronics Characteristics by South Census Region, 2005" 1 Home Electronics Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Electronics Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Personal Computers" "Do Not Use a Personal Computer ",35.5,14.2,7.2,2.8,4.2 "Use a Personal Computer",75.6,26.6,14.5,4.1,7.9 "Number of Desktop PCs" "1.",50.3,18.2,10,2.9,5.3 "2.",16.2,5.5,3,0.7,1.8 "3 or More",9,2.9,1.5,0.5,0.8 "Number of Laptop PCs"

56

"Table HC13.1 Housing Unit Characteristics by South Census Region, 2005"  

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

Housing Unit Characteristics by South Census Region, 2005" Housing Unit Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Housing Unit Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Urban/Rural Location (as Self-Reported)" "City",47.1,17.8,10.5,2.2,5.1 "Town",19,4.9,2.2,0.7,2 "Suburbs",22.7,7.6,4.1,1.1,2.4 "Rural",22.3,10.4,4.9,2.9,2.6 "Climate Zone1" "Less than 2,000 CDD and--" "Greater than 7,000 HDD",10.9,"N","N","N","N"

57

"Table HC13.8 Water Heating Characteristics by South Census Region, 2005"  

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

8 Water Heating Characteristics by South Census Region, 2005" 8 Water Heating Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Water Heating Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Number of Water Heaters" "1.",106.3,39,21.1,6.6,11.3 "2 or More",3.7,1.5,0.5,0.3,0.7 "Do Not Use Hot Water",1.1,"Q","Q","N","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,38.2,20.2,6.7,11.3 "Two or More Housing Units",10.3,2.4,1.5,0.2,0.7

58

"Table HC14.9 Home Appliances Characteristics by West Census Region, 2005"  

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

4.9 Home Appliances Characteristics by West Census Region, 2005" 4.9 Home Appliances Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Appliances Characteristics",,,"Mountain","Pacific" "Total U.S.",111.1,24.2,7.6,16.6 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,23.7,7.5,16.2 "1.",103.3,22.4,6.8,15.6 "2 or More",6.2,1.3,0.6,0.6 "Do Not Use an Oven",1.5,0.5,"Q",0.4 "Most-Used Oven Fuel" "Electric",67.9,13.4,4.5,8.9 "Natural Gas",36.4,9.2,2.2,7.1 "Propane/LPG",5.2,1,0.7,0.3

59

"Table HC11.9 Home Appliances Characteristics by Northeast Census Region, 2005"  

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

1.9 Home Appliances Characteristics by Northeast Census Region, 2005" 1.9 Home Appliances Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Appliances Characteristics",,,"Middle Atlantic","New England" "Total U.S.",111.1,20.6,15.1,5.5 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,20.3,14.9,5.4 "1.",103.3,18.7,13.6,5.2 "2 or More",6.2,1.6,1.4,0.2 "Do Not Use an Oven",1.5,0.2,"Q","Q" "Most-Used Oven Fuel" "Electric",67.9,9.7,6.2,3.6 "Natural Gas",36.4,9.4,7.9,1.5

60

"Table HC12.2 Living Space Characteristics by Midwest Census Region, 2005"  

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

2 Living Space Characteristics by Midwest Census Region, 2005" 2 Living Space Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Living Space Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.5,0.3,"Q" "500 to 999",23.8,3.9,2.4,1.5 "1,000 to 1,499",20.8,4.4,3.2,1.2 "1,500 to 1,999",15.4,3.5,2.4,1.1 "2,000 to 2,499",12.2,3.2,2.1,1.1 "2,500 to 2,999",10.3,2.7,1.8,0.9 "3,000 to 3,499",6.7,2.1,1.6,0.5

Note: This page contains sample records for the topic "type census region" 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

"Table HC13.6 Air Conditioning Characteristics by South Census Region, 2005"  

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

6 Air Conditioning Characteristics by South Census Region, 2005" 6 Air Conditioning Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Air Conditioning Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Cooling Equipment",17.8,1.4,0.8,0.2,0.3 "Have Cooling Equipment",93.3,39.3,20.9,6.7,11.8 "Use Cooling Equipment",91.4,38.9,20.7,6.6,11.7 "Have Equipment But Do Not Use it",1.9,0.5,"Q","Q","Q" "Air-Conditioning Equipment1, 2 "

62

"Table HC11.11 Home Electronics Characteristics by Northeast Census Region, 2005"  

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

1 Home Electronics Characteristics by Northeast Census Region, 2005" 1 Home Electronics Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Electronics Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Personal Computers" "Do Not Use a Personal Computer ",35.5,6.9,5.3,1.6 "Use a Personal Computer",75.6,13.7,9.8,3.9 "Number of Desktop PCs" "1.",50.3,9.3,6.8,2.5 "2.",16.2,2.9,1.9,1 "3 or More",9,1.5,1.1,0.4 "Number of Laptop PCs" "1.",22.5,4.7,3.5,1.2 "2.",4,0.6,0.4,0.2

63

"Table HC12.4 Space Heating Characteristics by Midwest Census Region, 2005"  

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

4 Space Heating Characteristics by Midwest Census Region, 2005" 4 Space Heating Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Do Not Have Space Heating Equipment",1.2,"Q","Q","N" "Have Main Space Heating Equipment",109.8,25.6,17.7,7.9 "Use Main Space Heating Equipment",109.1,25.6,17.7,7.9 "Have Equipment But Do Not Use It",0.8,"N","N","N" "Main Heating Fuel and Equipment"

64

"Table HC14.8 Water Heating Characteristics by West Census Region, 2005"  

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

8 Water Heating Characteristics by West Census Region, 2005" 8 Water Heating Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Water Heating Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Number of Water Heaters" "1.",106.3,23.2,7.1,16.1 "2 or More",3.7,1,0.4,0.6 "Do Not Use Hot Water",1.1,"Q","Q","N" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,21.9,7.1,14.8 "Two or More Housing Units",10.3,2.3,0.4,1.9 "Do Not Use Hot Water",1.1,"Q","Q","N"

65

"Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"  

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

3 Lighting Usage Indicators by West Census Region, 2005" 3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Lighting Usage Indicators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,19.5,6.1,13.4 "1.",28.6,6.1,1.7,4.4 "2.",29.5,6.3,1.8,4.5 "3.",14.7,3.1,1.1,2 "4.",9.3,1.9,0.6,1.3 "5 or More",9.7,2,0.8,1.2 "Energy-Efficient Bulbs Used",31.1,8.6,2.3,6.3 "1.",14.6,3.6,1,2.6

66

"Table HC12.11 Home Electronics Characteristics by Midwest Census Region, 2005"  

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

1 Home Electronics Characteristics by Midwest Census Region, 2005" 1 Home Electronics Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Electronics Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Personal Computers" "Do Not Use a Personal Computer ",35.5,8.1,5.6,2.5 "Use a Personal Computer",75.6,17.5,12.1,5.4 "Number of Desktop PCs" "1.",50.3,11.9,8.4,3.4 "2.",16.2,3.5,2.2,1.3 "3 or More",9,2.1,1.5,0.6 "Number of Laptop PCs" "1.",22.5,4.6,2.8,1.9 "2.",4,0.9,0.6,0.2

67

Household energy and consumption and expenditures, 1990. [Contains Division, Census Region, and Climate Zone maps  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

68

Residential Census Maps - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Home >>Energy Users > Residential Home Page > Census Maps . U. S. Census Regions and Divisions: Contact: James ...

69

"Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

4. Total Expenditures for Purchased Energy Sources by Census Region," 4. Total Expenditures for Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Groupsc and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States" ,"RSE Column Factors:","0.6 ",0.6,1.3,1.3,0.7,1.2,1.2,1.5,1.1

70

Table A20. Components of Onsite Electricity Generation by Census Region and  

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

Components of Onsite Electricity Generation by Census Region and" Components of Onsite Electricity Generation by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Million Kilowatthours)" ,,,,,"RSE" " "," "," "," "," ","Row" "Economic Characteristics(a)","Total","Cogeneration","Renewables","Other(b)","Factors" ,"Total United States" "RSE Column Factors:",0.8,0.8,1.2,1.3 "Value of Shipments and Receipts" "(million dollars)" " Under 20",562,349,"W","W",23 " 20-49",4127,3917,79,131,20.1 " 50-99",8581,7255,955,371,10

71

"Table A22. Total Quantity of Purchased Energy Sources by Census Region,"  

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

2. Total Quantity of Purchased Energy Sources by Census Region," 2. Total Quantity of Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,"Natural",,,"Coke" " "," ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","(trillion","(million","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000","(1000","Other(d)","Row" "Code(a)","Industry Groups and Industry","Btu)","kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

72

"Table HC14.2 Living Space Characteristics by West Census Region, 2005"  

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

2 Living Space Characteristics by West Census Region, 2005" 2 Living Space Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Living Space Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,1,0.2,0.8 "500 to 999",23.8,6.3,1.4,4.9 "1,000 to 1,499",20.8,5,1.6,3.4 "1,500 to 1,999",15.4,4,1.4,2.6 "2,000 to 2,499",12.2,2.6,0.9,1.7 "2,500 to 2,999",10.3,2.4,0.9,1.4 "3,000 to 3,499",6.7,0.9,0.3,0.6 "3,500 to 3,999",5.2,0.9,0.4,0.5

73

Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005  

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

1.1 Housing Unit Characteristics by Northeast Census Region, 2005 1.1 Housing Unit Characteristics by Northeast Census Region, 2005 Total......................................................................... 111.1 20.6 15.1 5.5 Urban/Rural Location (as Self-Reported) City....................................................................... 47.1 6.9 4.7 2.2 Town..................................................................... 19.0 6.0 4.2 1.9 Suburbs................................................................ 22.7 4.4 4.0 0.5 Rural..................................................................... 22.3 3.2 2.3 0.9 Climate Zone 1 Less than 2,000 CDD and-- Greater than 7,000 HDD.................................... 10.9 1.9 Q 1.3 5,500 to 7,000 HDD........................................... 26.1 9.8 5.7 4.1 4,000 to 5,499 HDD...........................................

74

Table B3. Census Region, Number of Buildings and Floorspace, 1999  

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

. Census Region, Number of Buildings and Floorspace, 1999" . Census Region, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","North- east","Midwest ","South","West","All Buildings","North- east","Midwest","South","West" "All Buildings ................",4657,686,1188,1762,1021,67338,12360,16761,23485,14731 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,305,620,916,506,6774,901,1835,2536,1503 "5,001 to 10,000 ..............",1110,169,273,413,255,8238,1302,2045,3058,1834 "10,001 to 25,000 .............",708,130,188,260,130,11153,1954,2881,4194,2124

75

Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region  

SciTech Connect

The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

Poyer, D.A.; Teotia, A.P.S.

1994-08-01T23:59:59.000Z

76

"Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"  

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

5 Space Heating Usage Indicators by Midwest Census Region, 2005" 5 Space Heating Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Do Not Have Heating Equipment",1.2,"Q","Q","N" "Have Space Heating Equipment",109.8,25.6,17.7,7.9 "Use Space Heating Equipment",109.1,25.6,17.7,7.9 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

77

"Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"  

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

0 Home Appliances Usage Indicators by South Census Region, 2005" 0 Home Appliances Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Appliances Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3,1.6,0.3,1.1 "2 Times A Day",24.6,8.3,4.2,1.3,2.7 "Once a Day",42.3,15,8.1,2.7,4.2 "A Few Times Each Week",27.2,10.9,6,1.8,3.1 "About Once a Week",3.9,1.6,0.7,0.4,0.5

78

"Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"  

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

0 Home Appliances Usage Indicators by West Census Region, 2005" 0 Home Appliances Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Appliances Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.6,0.7,1.9 "2 Times A Day",24.6,6.6,2,4.6 "Once a Day",42.3,8.8,2.9,5.8 "A Few Times Each Week",27.2,4.7,1.5,3.1 "About Once a Week",3.9,0.7,"Q",0.6 "Less Than Once a Week",4.1,0.7,0.3,0.4 "No Hot Meals Cooked",0.9,0.2,"Q","Q"

79

"Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"  

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

5 Space Heating Usage Indicators by Northeast Census Region, 2005" 5 Space Heating Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Space Heating Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Do Not Have Heating Equipment",1.2,"Q","Q","Q" "Have Space Heating Equipment",109.8,20.5,15.1,5.4 "Use Space Heating Equipment",109.1,20.5,15.1,5.4 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

80

"Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"  

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

0 Home Appliances Usage Indicators by Northeast Census Region, 2005" 0 Home Appliances Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ," U.S. Housing Units (millions) " ,,,"Census Division" ,,"Total Northeast" "Home Appliances Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1,0.2 "2 Times A Day",24.6,4,2.7,1.2 "Once a Day",42.3,7.9,5.4,2.5 "A Few Times Each Week",27.2,6,4.8,1.2 "About Once a Week",3.9,0.6,0.5,"Q" "Less Than Once a Week",4.1,0.6,0.4,"Q"

Note: This page contains sample records for the topic "type census region" 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

"Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"  

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

5 Space Heating Usage Indicators by U.S. Census Region, 2005" 5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Space Heating Equipment",109.8,20.5,25.6,40.3,23.4 "Use Space Heating Equipment",109.1,20.5,25.6,40.1,22.9 "Have But Do Not Use Equipment",0.8,"N","N","Q",0.6 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

82

"Table HC10.4 Space Heating Characteristics by U.S. Census Region, 2005"  

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

4 Space Heating Characteristics by U.S. Census Region, 2005" 4 Space Heating Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Space Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Main Space Heating Equipment",109.8,20.5,25.6,40.3,23.4 "Use Main Space Heating Equipment",109.1,20.5,25.6,40.1,22.9 "Have Equipment But Do Not Use It",0.8,"N","N","Q",0.6 "Main Heating Fuel and Equipment" "Natural Gas",58.2,11.4,18.4,13.6,14.7

83

"Table HC10.8 Water Heating Characteristics by U.S. Census Region, 2005"  

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

8 Water Heating Characteristics by U.S. Census Region, 2005" 8 Water Heating Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Water Heating Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Number of Water Heaters" "1.",106.3,19.6,24.5,39,23.2 "2 or More",3.7,0.3,0.9,1.5,1 "Do Not Use Hot Water",1.1,0.7,"Q","Q","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,16.1,23.5,38.2,21.9 "Two or More Housing Units",10.3,3.7,1.9,2.4,2.3 "Do Not Use Hot Water",1.1,0.7,"Q","Q","Q"

84

"Table HC10.9 Home Appliances Characteristics by U.S. Census Regions, 2005"  

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

0.9 Home Appliances Characteristics by U.S. Census Regions, 2005" 0.9 Home Appliances Characteristics by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Characteristics",,"Northeast","Midwest","South","West" "Total U.S.",111.1,20.6,25.6,40.7,24.2 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,20.3,25.3,40.2,23.7 "1.",103.3,18.7,24,38.2,22.4 "2 or More",6.2,1.6,1.3,2.1,1.3 "Do Not Use an Oven",1.5,0.2,0.3,0.5,0.5 "Most-Used Oven Fuel" "Electric",67.9,9.7,14.7,30.1,13.4 "Natural Gas",36.4,9.4,9.6,8.1,9.2 "Propane/LPG",5.2,1.2,1.1,2,1

85

"Table HC10.2 Living Space Characteristics by U.S. Census Region, 2005"  

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

2 Living Space Characteristics by U.S. Census Region, 2005" 2 Living Space Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Living Space Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.9,0.5,0.9,1 "500 to 999",23.8,4.6,3.9,9,6.3 "1,000 to 1,499",20.8,2.8,4.4,8.6,5 "1,500 to 1,999",15.4,1.9,3.5,6,4 "2,000 to 2,499",12.2,2.3,3.2,4.1,2.6 "2,500 to 2,999",10.3,2.2,2.7,3,2.4 "3,000 to 3,499",6.7,1.6,2.1,2.1,0.9 "3,500 to 3,999",5.2,1.1,1.7,1.5,0.9

86

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"  

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

3 Lighting Usage Indicators by U.S. Census Region, 2005" 3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,16.8,21.7,33.8,19.5 "1.",28.6,5,6.3,11.2,6.1 "2.",29.5,6.2,6.5,10.5,6.3 "3.",14.7,2.5,4,5,3.1 "4.",9.3,1.5,2.5,3.4,1.9 "5 or More",9.7,1.6,2.4,3.7,2 "Energy-Efficient Bulbs Used",31.1,5.2,6.7,10.6,8.6

87

"Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"  

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

0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" 0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1.4,3,2.6 "2 Times A Day",24.6,4,5.8,8.3,6.6 "Once a Day",42.3,7.9,10.7,15,8.8 "A Few Times Each Week",27.2,6,5.6,10.9,4.7 "About Once a Week",3.9,0.6,0.9,1.6,0.7 "Less Than Once a Week",4.1,0.6,1.1,1.7,0.7 "No Hot Meals Cooked",0.9,0.3,"Q","Q",0.2

88

"Table HC11.13 Lighting Usage Indicators by Northeast Census...  

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

3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

89

"Table HC11.8 Water Heating Characteristics by Northeast Census...  

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

8 Water Heating Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

90

Census Snapshot: Michigan  

E-Print Network (OSTI)

INSTITUTE CENSUS SNAPSHOT | MICHIGAN | SEPTEMBER 2007INSTITUTE CENSUS SNAPSHOT | MICHIGAN | SEPTEMBER 2007 AboutMICHIGAN Adam P. Romero, Public Policy Fellow Amanda Baumle,

Romero, Adam P; Baumle, Amanda; Badgett, M.V. Lee; Gates, Gary J

2007-01-01T23:59:59.000Z

91

Table HC11.8 Water Heating Characteristics by Northeast Census ...  

U.S. Energy Information Administration (EIA)

Water Heating Characteristics Middle Atlantic New England Northeast Census Region U.S. Housing Units (millions) Census Division Total Northeast Energy Information ...

92

Table HC12.8 Water Heating Characteristics by Midwest Census ...  

U.S. Energy Information Administration (EIA)

Water Heating Characteristics East North Central West North Central Midwest Census Region U.S. Housing Units (millions) Census Division Total Midwest

93

Census Snapshot: Alaska  

E-Print Network (OSTI)

out of all Geographic Area couples households Aleutians EastBorough Aleutians West Census Area Anchorage Municipality

Romero, Adam P; Baumle, Amanda K; Badgett, M.V. Lee; Gates, Gary J

2007-01-01T23:59:59.000Z

94

Texas Census Snapshot: 2010  

E-Print Network (OSTI)

Abilene Missouri Conroe Texas Odessa San Angelo LongviewTexas Census Snapshot: 2010 Same-sex couples Same-sex

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

95

Colorado Census Snapshot: 2010  

E-Print Network (OSTI)

Colorado Census Snapshot: 2010 Same-sex couples Same-sexThornton Longmont Northglenn Colorado Springs Fort Collins

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

96

Census Snapshot: Vermont  

E-Print Network (OSTI)

THE WILLIAMS INSTITUTE CENSUS SNAPSHOT VERMONT DECEMBER 2007VERMONT Adam P. Romero, Public Policy Fellow Amanda K.couples raising children in Vermont. We compare same-sex “

Romero, Adam P; Baumle, Amanda K; Badgett, M.V. Lee; Gates, Gary J

2007-01-01T23:59:59.000Z

97

Census Snapshot: Texas  

E-Print Network (OSTI)

THE WILLIAMS INSTITUTE CENSUS SNAPSHOT TEXAS JANUARY 2008TEXAS Adam P. Romero, Public Policy Fellow Clifford J.sex couples raising children in Texas. We compare same-sex “

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

98

Census Snapshot: Idaho  

E-Print Network (OSTI)

THE WILLIAMS INSTITUTE CENSUS SNAPSHOT IDAHO APRIL 2008IDAHO Adam P. Romero, Public Policy Fellow Clifford J.sex couples raising children in Idaho. We compare same-sex “

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

99

Idaho Census Snapshot: 2010  

E-Print Network (OSTI)

Idaho Census Snapshot: 2010 Same-sex couples Husband/wifeFranklin Fremont Gem Gooding Idaho Jefferson Jerome LemhiTwin Falls Nampa Caldwell Idaho Falls Meridian About the

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

100

Census Snapshot: Puerto Rico  

E-Print Network (OSTI)

WILLIAMS INSTITUTE CENSUS SNAPSHOT PUERTO RICO APRIL 2008PUERTO RICO Adam P. Romero, Public Policy Fellow Clifford J.in the Commonwealth of Puerto Rico. We compare same-sex “

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

Census Snapshot: New Mexico  

E-Print Network (OSTI)

THE WILLIAMS INSTITUTE CENSUS SNAPSHOT NEW MEXICO APRIL 2008NEW MEXICO Adam P. Romero, Public Policy Fellow Clifford J.raising children in New Mexico. We compare same-sex “

Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

102

EIA - Census Division List  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables > Census Division List Supplemental Tables > Census Division List Supplemental Tables to the Annual Energy Outlook 2010 Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California

103

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

Supplement Tables to the Annual Energy Outlook 2003 Supplement Tables to the Annual Energy Outlook 2003 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii

104

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

5 5 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii Tennessee Texas Montana Oregon

105

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

please contact the National Energy Information Center at (202) 586-8800. please contact the National Energy Information Center at (202) 586-8800. Supplement Tables to the Annual Energy Outlook 2002 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska

106

Table A26. Total Quantity of Purchased Energy Sources by Census...  

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

Total Quantity of Purchased Energy Sources by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)"...

107

Region Type Checking for Core-Java  

E-Print Network (OSTI)

Region-based memory management offers several important advantages over garbage-collected heap, including real-time performance, better data locality and efficient use of limited memory. The concept of regions was first ...

Chin, Wei Ngan

108

Evidence from Restricted Census Microdata  

E-Print Network (OSTI)

Current trends in electricity consumption imply that hundreds of new fossil-fuel power plants will be built in the United States over the next several decades. Power plant siting has become increasingly contentious, in part because power plants are a source of numerous negative local externalities including elevated levels of air pollution, haze, noise and traffic. Policymakers attempt to take these local disamenities into account when siting facilities, but little reliable evidence is available about their quantitative importance. This paper examines neighborhoods in the United States where power plants were opened during the 1990s using household-level data from a restricted version of the U.S. decennial census. Compared to neighborhoods farther away, housing values and rents decreased by 3-5 % between 1990 and 2000 in neighborhoods near sites. Estimates of household marginal willingness-to-pay to avoid power plants are reported separately for natural gas and other types of plants, large plants and small plants, base load plants and peaker plants, and upwind and downwind households.

Lucas W. Davis; Lucas W. Davis; Jel D

2008-01-01T23:59:59.000Z

109

Synoptic Weather Types for the Ross Sea Region, Antarctica  

Science Conference Proceedings (OSTI)

Synoptic classifications over the Southern Ocean in the Ross Sea region of Antarctica (50°S–Antarctic coast, 150°E–90°W) have been derived from NCEP reanalysis data (1979–2011), producing a set of six synoptic types for the region. These types ...

Lana Cohen; Sam Dean; James Renwick

2013-01-01T23:59:59.000Z

110

Regional Maps  

Annual Energy Outlook 2012 (EIA)

United States Census Divisions Figure 2.Electricity Market Module (EMM)Regions Source: Energy Information Administration, Office of Integrated Analysis and Forecasting Figure...

112

File:Impacts of Regional Electricity Prices and Building Type...  

Open Energy Info (EERE)

History Share this page on Facebook icon Twitter icon File:Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial PV Systems NREL 2012.pdf...

113

Why sequence census of fungal biology?  

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

sequence census of fungal biology? Despite the large number of sequenced fungal genomes, the current taxonomic sampling is limited to well-characterized lineages of the Kingdom and...

114

Census and viewing of organisms  

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

Census and viewing of organisms Census and viewing of organisms Name: m hariaczyi Status: N/A Age: N/A Location: N/A Country: N/A Date: Around 1993 Question: How many organisms exist in the world today? What is the most powerful microscope that could be used for viewing organism? Replies: The most powerful microscope is called an electron microscope, which can be used for viewing entire organisms, although few organisms are small enough to see all of them at high magnifications allowed by this microscope. So most often its used to look at fixed sections of organisms. Since the electron microscope only works in a vacuum, with no air, you cannot look at live organisms. To do that, probably the most powerful microscope is called a Nomarski, or in technical terms, a "differential interference contrast" microscope. This is a modification of a normal light microscope that allows better contrast in living tissue. It is not any more powerful than a light microscope, and is much less powerful than an electron microscope, but it allows you to see living things much better.

115

Bethel Census Area, Alaska: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Census Area, Alaska: Energy Resources Census Area, Alaska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 61.093446°, -160.8640774° 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":61.093446,"lon":-160.8640774,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

116

Yukon-Koyukuk Census Area, Alaska: Energy Resources | Open Energy  

Open Energy Info (EERE)

Yukon-Koyukuk Census Area, Alaska: Energy Resources Yukon-Koyukuk Census Area, Alaska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 65.8443667°, -153.4302993° 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":65.8443667,"lon":-153.4302993,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

117

Wade Hampton Census Area, Alaska: Energy Resources | Open Energy  

Open Energy Info (EERE)

Wade Hampton Census Area, Alaska: Energy Resources Wade Hampton Census Area, Alaska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 62.1458336°, -162.8919191° 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":62.1458336,"lon":-162.8919191,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

118

Census of Tribal Justice Agencies in Indian  

E-Print Network (OSTI)

Census of Tribal Justice Agencies in Indian Country, 2002 · Law enforcement · Courts Criminal Justice Reference Service 1-800-851-3420 #12;Census of Tribal Justice Agencies in Indian Country Figure 1 -- Map of States, by Public Law 83-280 Status Table 2 -- Number of tribes, by State, Public law

Hemmers, Oliver

119

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

120

"Table A25. Average Prices of Selected Purchased Energy Sources by Census"  

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

. Average Prices of Selected Purchased Energy Sources by Census" . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 1" " (Estimates in Dollars per Physical Unit)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Groups and Industry","(kWh)","(gallon)","(gallon)","cu ft)","(gallon)","(short ton)","Factors"

Note: This page contains sample records for the topic "type census region" 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

book review: Census of marine life  

E-Print Network (OSTI)

and update  ISSN 1948?6596  book review  Census of marine blackwell   This  is  a  book  about  which  superlatives oceans of the world.   The  book  itself  is  beautifully 

Sheppard, Charles

2011-01-01T23:59:59.000Z

122

34th annual reed rotary rig census  

SciTech Connect

This article reports that the number of rigs active according to the 1986 census is 1052, which represents a decline of 1573 rigs from 1985 figures. This 60 percent decrease is the largest decline of active rigs in the 34-year history of the census. The 1986 census takers found 3993 rigs are available with the capacity to drill deeper than 3000 ft. The count has thus declined by 416 rigs (9 percent) from the 1985 total of 4409. Rig availability declined for the fourth consecutive year following nine straight years of fleet expansion (1974-1982). During the past four years, 1651 rigs have been removed from the drilling fleet representing a 29 percent decline from the record high number of rigs available in 1982. The 1986 decline in the available U.S. fleet is considerably less than what many industry observers had been anticipating. A larger decrease in the rig fleet has not been realized for a number of reasons.

Hutchinson, D.L.; Pastusek, P.E.

1986-10-01T23:59:59.000Z

123

Geographic Trends Among Same-Sex Couples in the US Census and the American Community Survey  

E-Print Network (OSTI)

WILLIAMS INSTITUTE GEOGRAPHIC TRENDS IN THE CENSUS AND ACSWILLIAMS INSTITUTE GEOGRAPHIC TRENDS IN THE CENSUS AND ACSWILLIAMS INSTITUTE GEOGRAPHIC TRENDS IN THE CENSUS AND ACS

Gates, Gary J

2007-01-01T23:59:59.000Z

124

"Table A40. Average Prices of Selected Purchased Energy Sources by Census"  

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

Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1" Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1" " (Estimates in Dollars per Physical Units)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Group and Industry","(kWh)","(gallons)","(gallons)","cu ft)","(gallons)","(short tons)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,1,1.3,0.8,1.6,0.8

125

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

126

US prep plant census 2008  

Science Conference Proceedings (OSTI)

Each year Coal Age conducts a fairly comprehensive survey of the industry to produce the US coal preparation plant survey. This year's survey shows how many mergers and acquisitions have given coal operators more coal washing capacity. The plants are tabulated by state, giving basic details including company owner, plant name, raw feed, product ash %, quality, type of plant builder and year built. 1 tab., 1 photo.

Fiscor, S.

2008-10-15T23:59:59.000Z

127

"Table A7. Shell Storage Capacity of Selected Petroleum Products by Census"  

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

Shell Storage Capacity of Selected Petroleum Products by Census" Shell Storage Capacity of Selected Petroleum Products by Census" " Region, Industry Group, and Selected Industries, 1991" " (Estimates in Thousand Barrels)" " "," "," "," "," ","Other","RSE" "SIC"," ","Motor","Residual"," ","Distillate","Row" "Code(a)","Industry Groups and Industry","Gasoline","Fuel Oil","Diesel","Fuel Oil","Factors" ,,"Total United States" ,"RSE Column Factors:",1,0.9,1,1.1 , 20,"Food and Kindred Products",38,1448,306,531,12.1 2011," Meat Packing Plants",1,229,40,13,13.2

128

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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

Average Prices of Selected Purchased Energy Sources by Census" Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors" ,,"Total United States" ,"RSE Column Factors:",0.7,0.8,1,2.8,1,0.7 20,"Food and Kindred Products",15.789,2.854,6.064,2.697,7.596,1.433,4.5

129

Table A9. Total Primary Consumption of Energy for All Purposes by Census  

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

A9. Total Primary Consumption of Energy for All Purposes by Census" A9. Total Primary Consumption of Energy for All Purposes by Census" " Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke" " "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" " ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Economic Characteristics(a)","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","(cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

130

Table A23. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

3. Quantity of Purchased Electricity, Steam, and Natural Gas by Type" 3. Quantity of Purchased Electricity, Steam, and Natural Gas by Type" " of Supplier, Census Region, Industry Group, and Selected Industries, 1991" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam",," Natural Gas" ,," (Million kWh)",," (Billion Btu)",," (Billion cu ft)" ,," -------------------------",," -------------------------",," ---------------------------------------",,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

131

Table A27. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

Quantity of Purchased Electricity, Steam, and Natural Gas by Type" Quantity of Purchased Electricity, Steam, and Natural Gas by Type" " of Supplier, Census Region, and Economic Characteristics of the Establishment," 1991 " (Estimates in Btu or Physical Units)" " "," Electricity",," Steam",," Natural Gas" ," (Million (kWh)",," (Billion Btu)",," (Billion cu ft)" ," -----------------------",," -----------------------",," ------------------------------------",,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

132

Multiphase Saturation Equations, Change of Type and Inaccessible Regions  

E-Print Network (OSTI)

We identify a class of flux functions which give rise to conservation laws which are hyperbolic except along a codimension one subspace of state space. We show that a number of systems modelling porous medium flow can be regarded as perturbations of such systems, and describe the phenomenon of change of type for these perturbations.

Barbara Lee Keyfitz

1993-01-01T23:59:59.000Z

133

Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems  

DOE Green Energy (OSTI)

To identify the impacts of regional electricity prices and building type on the economics of solar photovoltaic (PV) systems, 207 rate structures across 77 locations and 16 commercial building types were evaluated. Results for expected solar value are reported for each location and building type. Aggregated results are also reported, showing general trends across various impact categories.

Ong, S.; Campbell, C.; Clark, N.

2012-12-01T23:59:59.000Z

134

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

135

Table 5B. Commercial average monthly bill by census division...  

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

" Census Division " " State ","Number of Consumers "," Average Monthly Consumption (kWh)","Price (Cents per Kilowatthour)","Average Monthly Bill (Dollar and cents)" "New...

136

Census Bureau. Field Experiences 2 Field Representative Experiences with the Current Population Survey  

E-Print Network (OSTI)

In September 2007, U.S. Census Bureau researchers completed a third pilot study on factors that contribute to gaining cooperation and successfully completing survey interviews. This pilot study was part of a larger effort to systematically study interview dynamics and how they affect respondent cooperation with Census Bureau surveys. The results of this study will add to extant data on two previous pilot studies on gaining cooperation behavior (Beck, Wright, & Petkunas, 2007). In 2006, we collected data from Program Coordinators, Program Supervisors, and Senior Field Representatives (SFRs) working on (Beck, Wright, & Petkunas, 2007). The current pilot study involved collecting information from a sample of Census Bureau survey interviewers, called Field Representatives (FRs), throughout the United States. Like these other “field ” employees, FRs work from one of the twelve Census Bureau Regional Offices, which are responsible for the management of field data collection. The FRs filled out a brief questionnaire asking them to list practices, techniques, and recommendations they felt were either successful or unsuccessful at gaining respondent cooperation with Current Population Survey (CPS) interviews. The CPS is a panel survey involving eight monthly interviews with each sampled household. Respondents complete four consecutive monthly interviews, rotate out

Jennifer Beck; Jennifer Beck

2008-01-01T23:59:59.000Z

137

AEO2011: Coal Production by Region and Type This dataset comes...  

Open Energy Info (EERE)

by Region and Type This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 140,...

138

Residential Energy Consumption Survey 1993 -- West Census Region Stats  

U.S. Energy Information Administration (EIA)

** Some housing units have both central and wall/window units. If you are having any technical problems with this site, ...

139

National and Census region estimates of the number of residential...  

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

Fax: (202) 586-0018 URL: http:www.eia.govemeurecsrecs1c.htm If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

140

Aleutians West Census Area, Alaska ASHRAE 169-2006 Climate Zone...  

Open Energy Info (EERE)

Aleutians West Census Area, Alaska ASHRAE 169-2006 Climate Zone Jump to: navigation, search County Climate Zone Place Aleutians West Census Area, Alaska ASHRAE Standard ASHRAE...

Note: This page contains sample records for the topic "type census region" 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

AEO2011: Coal Minemouth Prices by Region and Type | OpenEI  

Open Energy Info (EERE)

Minemouth Prices by Region and Type Minemouth Prices by Region and Type Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 141, and contains only the reference case. The dataset uses million short tons and the US Dollar. The data is broken down into northern Appalachia, central Appalachia, southern Appalachia, eastern interior, western interior, Gulf, Dakota medium, western Montana, Wyoming, Rocky Mountain, Arizona/New Mexico and Washington/Alaska. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Coal Minemouth Prices EIA Data application/vnd.ms-excel icon AEO2011: Coal Minemouth Prices by Region and Type- Reference Case (xls, 121.6 KiB)

142

AEO2011: Coal Production by Region and Type | OpenEI  

Open Energy Info (EERE)

by Region and Type by Region and Type Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 140, and contains only the reference case. The unit of measurement in this dataset is million short tons. The data is broken down into northern Appalachia, central Appalachia, southern Appalachia, eastern interior, western interior, gulf, Dakota medium, western montana, Wyoming, Rocky Mountain, Arizona/New Mexico and Washington/Alaska. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Coal Production EIA Data application/vnd.ms-excel icon AE2011: Coal Production by Region and Type- Reference Case (xls, 122.3 KiB)

143

Table 38. Coal Stocks at Coke Plants by Census Division  

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

Coal Stocks at Coke Plants by Census Division Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 38. Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Census Division June 30, 2013 March 31, 2013 June 30, 2012 Percent Change (June 30) 2013 versus 2012 Middle Atlantic w w w w East North Central 1,313 1,177 1,326 -1.0 South Atlantic w w w w East South Central w w w w U.S. Total 2,500 2,207 2,295 8.9 w = Data withheld to avoid disclosure. Note: Total may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration (EIA), Form EIA-5, 'Quarterly Coal Consumption and Quality Report - Coke Plants.'

144

Thermophotovoltaic energy conversion system having a heavily doped n-type region  

DOE Patents (OSTI)

A thermophotovoltaic (TPV) energy conversion semiconductor device is provided which incorporates a heavily doped n-type region and which, as a consequence, has improved TPV conversion efficiency. The thermophotovoltaic energy conversion device includes an emitter layer having first and second opposed sides and a base layer in contact with the first side of the emitter layer. A highly doped n-type cap layer is formed on the second side of the emitter layer or, in another embodiment, a heavily doped n-type emitter layer takes the place of the cap layer.

DePoy, David M. (Clifton Park, NY); Charache, Greg W. (Clifton Park, NY); Baldasaro, Paul F. (Clifton Park, NY)

2000-01-01T23:59:59.000Z

145

Table 33. Coal Carbonized at Coke Plants by Census Division  

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

Coal Carbonized at Coke Plants by Census Division Coal Carbonized at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 33. Coal Carbonized at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Census Division April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Middle Atlantic w w w w w w East North Central 3,051 2,997 3,092 6,048 6,156 -1.8 South Atlantic w w w w w w East South Central w w w w w w U.S. Total 5,471 5,280 5,296 10,751 10,579 1.6 w = Data withheld to avoid disclosure. Note: Total may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration (EIA), Form EIA-5, 'Quarterly Coal Consumption and Quality Report - Coke Plants

146

Table 23. Coal Receipts at Coke Plants by Census Division  

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

Receipts at Coke Plants by Census Division Receipts at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 23. Coal Receipts at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Census Division April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Middle Atlantic w w w w w w East North Central 3,189 2,679 3,225 5,867 5,993 -2.1 South Atlantic w w w w w w East South Central w w w w w w U.S. Total 5,770 4,962 5,370 10,732 10,440 2.8 w = Data withheld to avoid disclosure. Note: Total may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration (EIA), Form EIA-5, 'Quarterly Coal Consumption and Quality Report - Coke Plants

147

Image Gallery from the Census of Marine Life  

DOE Data Explorer (OSTI)

The Census has evolved a strategy of 14 field projects to touch the major habitats and groups of species in the global ocean. Eleven field projects address habitats, such as seamounts or the Arctic Ocean. Three field projects look globally at animals that either traverse the seas or appear globally distributed: the top predators such as tuna and the plankton and the microbes. The projects employ a mix of technologies. These include acoustics or sound, optics or cameras, tags placed on individual animals that store or report data, and genetics, as well as some actual capture of animals. The Census of Marine Life provides a much clearer picture of what lives below the surface around the globe. Several reasons make such a report timely, indeed urgent. Better information is needed to fashion the management that will sustain fisheries, conserve diversity, reverse losses of habitat, reduce impacts of pollution, and respond to global climate change. Hence, there are biological, economic, philosophical and political reasons to push for greater exploration and understanding of the ocean and its inhabitants. Indeed, the United Nations Convention on Biological Diversity requires signatories to collect information on living resources, but, as yet, no nation has a complete baseline of such information. The Census of Marine Life's global network of researchers will help to fill this knowledge gap, providing critical information to help guide decisions on how to manage global marine resources for the future. [This information was copied from http://www.coml.org/about, then edited and shortened.] The Image Gallery from the Census provides close-up photography of species, many never before seen. In addition, the maps and visualizations produced at Duke University's Marine Geospatial Ecology Lab provide striking visual overviews of the Census projects and activities as a whole.

None

148

The peculiar motions of early-type galaxies in two distant regions - II. The spectroscopic data  

E-Print Network (OSTI)

We present the spectroscopic data for the galaxies studied in the EFAR project, which is designed to measure the properties and peculiar motions of early-type galaxies in two distant regions. We have obtained 1319 spectra of 714 early-type galaxies over 33 observing runs on 10 different telescopes. We describe the observations and data reductions used to measure redshifts, velocity dispersions and the Mgb and Mg2 Lick linestrength indices. Detailed simulations and intercomparison of the large number of repeat observations lead to reliable error estimates for all quantities. The measurements from different observing runs are calibrated to a common zeropoint or scale before being combined, yielding a total of 706 redshifts, 676 velocity dispersions, 676 Mgb linestrengths and 582 Mg2 linestrengths. The median estimated errors in the combined measurements are dcz=20 km/s, dsigma/sigma=9.1%, dMgb/Mgb=7.2% and dMg2=0.015 mag. Comparison of our measurements with published datasets shows no systematic errors in the redshifts or velocity dispersions and only small zeropoint corrections to bring our linestrengths onto the standard Lick system. We have assigned galaxies to physical clusters by examining the line-of-sight velocity distributions based on EFAR and ZCAT redshifts, together with the projected distributions on the sky. We derive mean redshifts and velocity dispersions for these clusters, which will be used in estimating distances and peculiar velocities and to test for trends in the galaxy population with cluster mass. The spectroscopic parameters presented here for 706 galaxies combine high quality data, uniform reduction and measurement procedures, and detailed error analysis. They form the largest single set of velocity dispersions and linestrengths for early-type galaxies published to date.

Gary Wegner; Matthew Colless; R. P. Saglia; Robert K. McMahan; Roger L. Davies; David Burstein; Glenn Baggley

1998-11-16T23:59:59.000Z

149

Video Gallery from the Census of Marine Life  

DOE Data Explorer (OSTI)

Two video galleries provide different views of the Census effort. One contains videos of activities from the various individual projects and informational, overview videos. The other presents interviews with researchers, speeches and presentations, and clips from artistic films. The Census of Marine Life is a global network of researchers in more than 80 nations engaged in a 10-year scientific initiative to assess and explain the diversity, distribution, and abundance of life in the oceans. The Census has evolved a strategy of field projects to touch the major habitats and groups of species in the global ocean. Some address habitats, such as seamounts or the Arctic Ocean. Others look globally at animals that either traverse the seas or appear globally distributed: the top predators such as tuna and the plankton and the microbes. The projects employ a mix of technologies. These include acoustics or sound, optics or cameras, tags placed on individual animals that store or report data, and genetics, as well as some actual capture of animals. [This information was copied from http://www.coml.org/about, then edited and shortened.

150

Key Words: Power Plants, Hedonic Price Method, Restricted Census Microdata  

E-Print Network (OSTI)

This paper uses restricted census microdata to examine housing values and rents for neighborhoods in the United States where power plants were opened during the 1990s. Compared to neighborhoods with similar housing and demographic characteristics, neighborhoods within two miles of plants experienced 3-7 percent decreases in housing values and rents with some evidence of larger decreases within one mile and for large capacity plants. In addition, there is evidence of taste-based sorting with neighborhoods near plants associated with modest but statistically significant decreases in mean household income, educational attainment, and the proportion of homes that is owner occupied.

Lucas W. Davis; Jel D; Michael Greenstone; Matt Kahn; Ian Lange; Matt White; Seminar Participants

2010-01-01T23:59:59.000Z

151

Two Types of Vertical Electrical Structures in Stratiform Precipitation Regions of Mesoscale Convective Systems  

Science Conference Proceedings (OSTI)

Electric field (E) soundings in the stratiform regions and transition zones of mesoscale convective systems (MCSs) are reported. Most of the E soundings were made during the 1991 Cooperative Oklahoma Profiler Studies (COPS-91). Multiple E ...

Thomas C. Marshall; W. David Rust

1993-11-01T23:59:59.000Z

152

A Pattern Recognition Technique for Distinguishing Surface and Cloud Types in the Polar Regions  

Science Conference Proceedings (OSTI)

Measurement of polar cloud cover is important because of its strong radiative influence on the energy balance of the snow and ice surface. Conventional satellite cloud detection schemes often fail in the polar regions because the visible and ...

Elizabeth Ebert

1987-10-01T23:59:59.000Z

153

IPUMS-international statistical disclosure controls: 159 census microdata samples in dissemination, 100+ in preparation  

Science Conference Proceedings (OSTI)

In the last decade, a revolution has occurred in access to census microdata for social and behavioral research. More than 325 million person records (55 countries, 159 samples) representing two-thirds of the world's population are now readily available ... Keywords: IPUMS-international, census microdata samples, data dissemination, data privacy

Robert McCaa; Steven Ruggles; Matt Sobek

2010-09-01T23:59:59.000Z

154

Regional application of fossil energy technologies: an analytical approach. Final report  

SciTech Connect

Energy supply/demand profiles are presented for the 50 states and the nine US census regions using 1974 statistics. These profiles include quantity and type of energy reserves, annual primary resource production, and consumption by end-use sector. Each state's and region's energy balance is presented for fossil fuels, quantitatively designating the state or region as a net importer or exporter of these fuels. Finally, the dependence of each consumption sector on each energy source is tabulated. A major part of the project was devoted to the development of a method for use by energy planners in assessing the effects of policy decisions on energy profiles. A series of energy indices is derived for each census region. The indices are defined to include the effect of consumption of relatively scarce fuels (oil and gas) versus plentiful fuels (coal). The fuel-weighting factors, incorporated into the indices, are based upon national depletion rates, i.e., production. The energy indices technique can be used as a basis for comparisons between consumption sectors in a region, similar sectors in two or more regions, etc. A number of fossil-energy technologies under development at DOE are described. The potential impact of the maturation of these technologies on each census region's energy posture is discussed in conjuncton with any regional constraints that may exist. Finally, a number of sample what if scenarios are discussed and the impact of fossil-fuel replacements on national, regional, and sector energy consumption quantitatively assessed.

Rebello, W.; Canete, D.; Phipps, H.; Smith, R.

1979-09-01T23:59:59.000Z

155

Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model  

Reports and Publications (EIA)

The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

156

Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model  

Reports and Publications (EIA)

The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

157
158

Table 1.10 Cooling Degree-Days by Census Division, 1949-2011  

U.S. Energy Information Administration (EIA)

Table 1.10 Cooling Degree-Days by Census Division, 1949-2011: Year: New England: Middle Atlantic: East North Central: West North Central: South Atlantic: East South

159
160

Household energy and consumption and expenditures, 1990. Supplement, Regional  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

Forecasting the Population of Census Tracts by Age and Sex: An Example of the Hamilton–Perry Method in Action  

E-Print Network (OSTI)

approach to economic forecasting and policy analysis.for K-12 enrollment forecasting. Educational Research65 and 69 85 and over Forecasting the Population of Census

Swanson, David A.; Schlottmann, Alan; Schmidt, Bob

2010-01-01T23:59:59.000Z

162

"Table A42. Average Prices of Purchased Energy Sources by Census Region,"  

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

1" 1" " (Estimates in Dollars per Physical Units)" ,,,,,"Noncombustible Energy Sources",,,,,,,,,,,,,,,,,,"Combustible Energy Sources" ,,,,,,,,,,,,,,,"Solids",,,,,,,,,,"Gases",,,,,,,,,"Liquids" " "," ",," "," ",,,,," "," "," "," "," "," "," ",,,"Wood","Wood Residues",,,,,,,,,,,,,,,,,,,," " " "," ",,"Electricity","Electricity","Electricity","Steam","Steam","Steam","Industrial",," ","Bituminous and"," ",," ",,,"Harvested","and Byproducts","Wood and",,"Natural Gas",,,,,,,"Total Diesel Fuel",,,,,"Motor Gasoline",,,,," "

163

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," "," ","Residual","Distillate"," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

164

"Table HC14.1 Housing Unit Characteristics by West Census Region...  

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

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

165

"Table HC10.1 Housing Unit Characteristics by U.S. Census Region...  

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

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

166

Table 2. Number of U.S. Housing Units by Census Region and ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency > Residential Buildings Energy Intensities > Table 2. Number of U.S. ...

167

Table C5. Consumption and Gross Energy Intensity by Census Region ...  

U.S. Energy Information Administration (EIA)

Wall Material Brick, Stone or Stucco ..... 770 1,005 1,009 403 7,248 9,248 11,574 4,747 106.2 108.7 87.2 84.8 Concrete (Block ... Wall or Roof Replacement ...

168

Table HC10.8 Water Heating Characteristics by U.S. Census Region ...  

U.S. Energy Information Administration (EIA)

No Separate Water Heater..... 3.4 1.1 0.5 0.9 1.0 Housing Units (millions) Table HC10.8 Water Heating ...

169

Table HC10.13 Lighting Usage Indicators by U.S. Census Region ...  

U.S. Energy Information Administration (EIA)

Total U.S. Housing Units..... 111.1 20.6 25.6 40.7 24.2 Indoor Lights Turned On During Summer Number of Lights Turned On

170

Table 2.4 Household Energy Consumption by Census Region, Selected ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook › Annual Energy Outlook ... no data available. - Data for 1978-1984 are for April of year shown through March of following year; data

171

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

1" 1" " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," "," ","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Code(a)","Industry Groups and Industry","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

172

AEO2011: Natural Gas Consumption by End-Use Sector and Census Division |  

Open Energy Info (EERE)

Consumption by End-Use Sector and Census Division Consumption by End-Use Sector and Census Division Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 136, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural gas consumption Data application/vnd.ms-excel icon AEO2011: Natural Gas Consumption by End-Use Sector and Census Division- Reference Case (xls, 138.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage

173

AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division  

Open Energy Info (EERE)

Delivered Prices by End-Use Sector and Census Division Delivered Prices by End-Use Sector and Census Division Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 137, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural Gas Data application/vnd.ms-excel icon AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division- Reference Case (xls, 140.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

174

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

Science Conference Proceedings (OSTI)

In connection with the comprehensive Epidemiologic Data Resource (CEDR) and Populations at risk to Environmental Pollution (PAREP) projects in the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), public data files containing socio-economic and geographic data are available to CEDR and PAREP collaborators in the LBL computing network. At this time 60 CD-ROM diskettes (approximately 30 gigabytes) are on line in the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and most of those pertain to the 1990 Census of Population and Housing. This paper contains a list of the CD-ROMS available.

Merrill, D.W.

1992-04-01T23:59:59.000Z

175

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect

In connection with the Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 67 CD-ROM diskettes (approximately 35 gigabytes) are on line via the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. This paper contains a list of the CD-ROMs available.

Merrill, D.W.

1992-07-02T23:59:59.000Z

176

Public census data on CD-ROM at Lawrence Berkeley Laboratory. Revision 1  

SciTech Connect

In connection with the Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 67 CD-ROM diskettes (approximately 35 gigabytes) are on line via the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. This paper contains a list of the CD-ROMs available.

Merrill, D.W.

1992-07-02T23:59:59.000Z

177

REACTION OF DOLPHINS TO A SURVEY VESSEL: EFFECTS ON CENSUS DATA  

E-Print Network (OSTI)

REACTION OF DOLPHINS TO A SURVEY VESSEL: EFFECTS ON CENSUS DATA RoGER P. HEWITI'l ABSTRACf A field of a survey vessel prior to their detection by shipboard observers and that the use of a monotonically decreasing detection function is adequate to minimize bias. Aerial and shipboard estimates of school size

178

Aleutians West Census Area, Alaska: Energy Resources | Open Energy  

Open Energy Info (EERE)

2.3034261°, -174.1810309° 2.3034261°, -174.1810309° 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":52.3034261,"lon":-174.1810309,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

179

Cooling Degree Days, by State (Weighted by Population, per 2000 Census) |  

Open Energy Info (EERE)

Cooling Degree Days, by State (Weighted by Population, per 2000 Census) Cooling Degree Days, by State (Weighted by Population, per 2000 Census) Dataset Summary Description The National Oceanic and Atmospheric Administration's (NOAA) National Environmental Satellite, Data, and Information Services (NESDIS), in conjunction with the National Climatic Data Center (NCDC) publish monthly and annual climate data by state for the U.S., including, cooling degree days (total number of days per month and per year). The average values for each state are weighted by population, using 2000 Census data. The base temperature for this dataset is 65 degrees F. Included here are monthly and annual values averaged over several periods of time: 1931-2000, 1931-60, 1941-70, 1951-80, 1961-90, 1971-2000 (standard deviation is also provided). Detailed monthly climatic information (including cooling degree days) is available for the time period between 1895 and 2011, from NOAA (http://www7.ncdc.noaa.gov/CDO/CDODivisionalSelect.jsp#).

180

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

Science Conference Proceedings (OSTI)

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socio-economic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 70 CD-ROM diskettes (approximately 36 gigabytes) are on line via the Unix file server cedrcd. lbl. gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. Printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), or the UC Documents Library. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user's application program(s).

Merrill, D.W.

1992-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socio-economic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 70 CD-ROM diskettes (approximately 36 gigabytes) are on line via the Unix file server cedrcd. lbl. gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. Printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), or the UC Documents Library. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user`s application program(s).

Merrill, D.W.

1992-10-01T23:59:59.000Z

182

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 72 CD-ROM diskettes (approximately 37 gigabytes) are on line via the Unix file server cedrcd.lbl.gov''. Most of the files are from the US Bureau of the Census, and many of these pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. In addition, printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), tel. (510) 642-6571, or the UC Documents Library, tel. (510) 642-2569, both located on the UC Berkeley Campus. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. LBL is grateful to UC DATA and the UC Documents Library for the use of their CD-ROM diskettes. Shared access to LBL facilities may be restricted in the future if costs become prohibitive. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user's application program(s). Due to the size of the files, this access method is preferred over File Transfer Protocol (FTP) access. Please contact Deane Merrill (dwmerrill lbl.gov) if you wish to make use of the data.

Merrill, D.W.

1993-01-16T23:59:59.000Z

183

Public census data on CD-ROM at Lawrence Berkeley Laboratory. Revision 4  

SciTech Connect

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 89 CD-ROM diskettes (approximately 45 gigabytes) are on line via the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and many of these pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. In addition, printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), tel. (510) 642-6571, or the UC Documents Library, tel. (510) 642-2569, both located on the UC Berkeley Campus. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. LBL is grateful to UC DATA and the UC Documents Library for the use of their CD-ROM diskettes. Shared access to LBL facilities may be restricted in the future if costs become prohibitive. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user`s application program(s). Due to the size of the files, this access method is preferred over File Transfer Protocol (FTP) access.

Merrill, D.W.

1993-03-12T23:59:59.000Z

184

Public census data on CD-ROM at Lawrence Berkeley Laboratory. Revision 3  

Science Conference Proceedings (OSTI)

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 72 CD-ROM diskettes (approximately 37 gigabytes) are on line via the Unix file server ``cedrcd.lbl.gov``. Most of the files are from the US Bureau of the Census, and many of these pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. In addition, printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), tel. (510) 642-6571, or the UC Documents Library, tel. (510) 642-2569, both located on the UC Berkeley Campus. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. LBL is grateful to UC DATA and the UC Documents Library for the use of their CD-ROM diskettes. Shared access to LBL facilities may be restricted in the future if costs become prohibitive. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user`s application program(s). Due to the size of the files, this access method is preferred over File Transfer Protocol (FTP) access. Please contact Deane Merrill (dwmerrill@lbl.gov) if you wish to make use of the data.

Merrill, D.W.

1993-01-16T23:59:59.000Z

185

Isospin and symmetry energy effects on nuclear fragment production in liquid-gas type phase transition region  

E-Print Network (OSTI)

We have demonstrated that the isospin of nuclei influences the fragment production during the nuclear liquid-gas phase transition. Calculations for Au197, Sn124, La124 and Kr78 at various excitation energies were carried out on the basis of the statistical multifragmentation model (SMM). We analyzed the behavior of the critical exponent tau with the excitation energy and its dependence on the critical temperature. Relative yields of fragments were classified with respect to the mass number of the fragments in the transition region. In this way, we have demonstrated that nuclear multifragmentation exhibits a 'bimodality' behavior. We have also shown that the symmetry energy has a small influence on fragment mass distribution, however, its effect is more pronounced in the isotope distributions of produced fragments.

N. Buyukcizmeci; R. Ogul; A. S. Botvina

2005-06-06T23:59:59.000Z

186

Isospin and symmetry energy effects on nuclear fragment production in liquid-gas type phase transition region  

E-Print Network (OSTI)

We have demonstrated that the isospin of nuclei influences the fragment production during the nuclear liquid-gas phase transition. Calculations for Au197, Sn124, La124 and Kr78 at various excitation energies were carried out on the basis of the statistical multifragmentation model (SMM). We analyzed the behavior of the critical exponent tau with the excitation energy and its dependence on the critical temperature. Relative yields of fragments were classified with respect to the mass number of the fragments in the transition region. In this way, we have demonstrated that nuclear multifragmentation exhibits a 'bimodality' behavior. We have also shown that the symmetry energy has a small influence on fragment mass distribution, however, its effect is more pronounced in the isotope distributions of produced fragments.

N. Buyukcizmeci; R. Ogul; A. S. Botvina

2004-12-31T23:59:59.000Z

187

Heating Degree Days, by State (Weighted by Population, per 2000 Census) |  

Open Energy Info (EERE)

66 66 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278566 Varnish cache server Heating Degree Days, by State (Weighted by Population, per 2000 Census) Dataset Summary Description The National Oceanic and Atmospheric Administration's (NOAA) National Environmental Satellite, Data, and Information Services (NESDIS), in conjunction with the National Climatic Data Center (NCDC) publish monthly and annual climate data by state for the U.S., including, heating degree days (total number of days per month and per year). The average values for each state are weighted by population, using 2000 Census data. The base temperature for this dataset is 65 degrees F. Included here are monthly and annual values averaged over several periods of time: 1931-2000, 1931-60, 1941-70, 1951-80, 1961-90, 1971-2000 (standard deviation is also provided). Detailed monthly climatic information (including heating degree days) is available for the time period between 1895 and 2011, from NOAA (http://www7.ncdc.noaa.gov/CDO/CDODivisionalSelect.jsp#).

188

When excessive perturbation goes wrong and why IPUMS-International relies instead on sampling, suppression, swapping, and other minimally harmful methods to protect privacy of census microdata  

Science Conference Proceedings (OSTI)

IPUMS-International disseminates population census microdata at no cost for 69 countries. Currently, a series of 212 samples totaling almost a half billion person records are available to researchers. Registration is required for researchers to gain ... Keywords: IPUMS-international, data dissemination, data privacy, microdata samples, population census, statistical disclosure controls

Lara Cleveland; Robert McCaa; Steven Ruggles; Matthew Sobek

2012-09-01T23:59:59.000Z

189

Integrating GIS and data warehousing in a Web environment: A case study of the US 1880 Census  

Science Conference Proceedings (OSTI)

While the business intelligence sector, involving data warehouses and online analytical processing (OLAP) technologies, is experiencing strong growth in the IT marketplace, relatively little attention has been devoted to the problem of utilizing such ... Keywords: Data warehousing, Historical census analysis, OLAP, Web-based GIS

R. G. Healey; J. Delve

2007-01-01T23:59:59.000Z

190

"Table HC2.1 Structural and Geographic Characteristics of U.S. Homes, By Housing Unit Type, 2009"  

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

Structural and Geographic Characteristics of U.S. Homes, By Housing Unit Type, 2009" Structural and Geographic Characteristics of U.S. Homes, By Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,,,"2 to 4 Units","5 or More Units","Mobile Homes" ,,"Detached","Attached" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Census Region and Division" "Northeast",20.8,10.9,1.8,3.1,4.4,0.5 "New England",5.5,3.1,0.3,1,1,0.1 "Middle Atlantic",15.3,7.8,1.5,2.1,3.4,0.4 "Midwest",25.9,18,1.2,1.9,3.7,1.1

191

"Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"  

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

1" 1" " (Estimates in Dollars per Physical Units)" " "," ","Residual","Distillate ","Natural"," "," ","RSE" " ","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","Row" "Economic Characteristics(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors" ,"Total United States" "RSE Column Factors:",0.6,0.8,1.2,0.7,2.5,0.9 "Value of Shipments and Receipts" "(million dollars)" " Under 20",0.065,0.43,0.77,3.71,0.76,39.15, 2.4

192

"Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"  

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

2" 2" " (Estimates in Dollars per Million Btu)" " "," "," "," "," "," "," ","RSE" " "," ","Residual","Distillate","Natural"," "," ","Row" "Economic Characteristics(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","Factors" ,"Total United States" "RSE Column Factors:",0.6,0.8,1.2,0.7,2.5,0.9 "Value of Shipments and Receipts" "(million dollars)" " Under 20",18.96,2.9,5.56,3.6,8.66,1.74, 2.4 " 20-49",15.07,2.53,4.9,2.8,5.87,1.81, 2.7

193

file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-12a  

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

2a. Usage Indicators by West Census Region, 2a. Usage Indicators by West Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | West Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________|

194

file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-10a  

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

0a. Usage Indicators by Midwest Census Region, 0a. Usage Indicators by Midwest Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | Midwest Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________|

195

THE BARYON CENSUS IN A MULTIPHASE INTERGALACTIC MEDIUM: 30% OF THE BARYONS MAY STILL BE MISSING  

Science Conference Proceedings (OSTI)

Although galaxies, groups, and clusters contain {approx}10% of the baryons, many more reside in the photoionized and shocked-heated intergalactic medium (IGM) and in the circumgalactic medium (CGM). We update the baryon census in the (H I) Ly{alpha} forest and warm-hot IGM (WHIM) at 10{sup 5-6} K traced by O VI {lambda}1032, 1038 absorption. From Enzo cosmological simulations of heating, cooling, and metal transport, we improve the H I and O VI baryon surveys using spatially averaged corrections for metallicity (Z/Z {sub Sun }) and ionization fractions (f {sub HI}, f {sub OVI}). Statistically, the O VI correction product correlates with column density, (Z/Z {sub Sun })f {sub OVI} Almost-Equal-To (0.015)(N {sub OVI}/10{sup 14} cm{sup -2}){sup 0.70}, with an N {sub OVI}-weighted mean of 0.01, which doubles previous estimates of WHIM baryon content. We also update the Ly{alpha} forest contribution to baryon density out to z = 0.4, correcting for the (1 + z){sup 3} increase in absorber density, the (1 + z){sup 4.4} rise in photoionizing background, and cosmological proper length dl/dz. We find substantial baryon fractions in the photoionized Ly{alpha} forest (28% {+-} 11%) and WHIM traced by O VI and broad-Ly{alpha} absorbers (25% {+-} 8%). The collapsed phase (galaxies, groups, clusters, CGM) contains 18% {+-} 4%, leaving an apparent baryon shortfall of 29% {+-} 13%. Our simulations suggest that {approx}15% reside in hotter WHIM (T {>=} 10{sup 6} K). Additional baryons could be detected in weaker Ly{alpha} and O VI absorbers. Further progress requires higher-precision baryon surveys of weak absorbers, down to minimum column densities N {sub HI} {>=} 10{sup 12.0} cm{sup -2}, N {sub OVI} {>=} 10{sup 12.5} cm{sup -2}, N {sub OVII} {>=} 10{sup 14.5} cm{sup -2}, using high signal-to-noise data from high-resolution UV and X-ray spectrographs.

Shull, J. Michael; Danforth, Charles W.; Smith, Britton D., E-mail: michael.shull@colorado.edu, E-mail: smit1685@msu.edu, E-mail: charles.danforth@colorado.edu [CASA, Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder, CO 80309 (United States)

2012-11-01T23:59:59.000Z

196

A Census of Mid-Infrared Selected Active Galactic Nuclei in Massive Galaxy Clusters at 0 < z < 1.3  

E-Print Network (OSTI)

We conduct a deep mid-infrared census of nine massive galaxy clusters at (0 = 3 sigma level, we identify 12 that host mid-infrared selected active galactic nuclei (IR-AGN). To compare the IR-AGN across our redshift range, we define two complete samples of cluster galaxies: (1) optically-selected members with rest-frame VAB magnitude 0.5 Mpc) and are hosted by highly morphologically disturbed members. Although our sample is limited, our results suggest that f_IR-AGN in massive galaxy clusters is not strongly correlated with star formation at z 1.

Tomczak, Adam 1987-

2012-12-01T23:59:59.000Z

197

Species-specific features affect the ability of census-derived models ...  

Science Conference Proceedings (OSTI)

species living in large groups, precluding the attainment of good predictions. ..... Model building and prediction of regional distribution. The original deviance ...

198

DRAFT-- DO NOT CITE Subsidized Housing, Emergency Shelters, and Homelessness: An Empirical Investigation Using Data from the 1990 Census  

E-Print Network (OSTI)

This paper uses the S-Night counts of persons in homeless shelters and living on the streets from the 1990 Decennial census to study the causes of variation in rates of homelessness across metropolitan areas. The effects of several policies are explored. Specifically, we estimate the importance of emergency homeless shelters and federally subsidized housing as solutions to the problem of homelessness. The results suggest that the expansion of homeless shelters has led to an increase in the total number of homeless persons. Additional shelters induce some households to leave the worst traditional housing situations. We find no evidence in support of the notion that increasing the number of federally subsidized units would decrease the number of homeless. However, our estimates suggest that a city can lower the rate of homelessness by targeting subsidized housing toward the very poor. Considerable debate exists over which policies are the most successful at reducing the number of homeless. This study uses data from the 1990 decennial census to estimate the effectiveness of, among other things, the expansion of homeless shelters and the availability and targeting of subsidized housing. The results suggest that the introduction of emergency shelters for the homeless has led to an increase in the number of homeless in the U.S. No evidence is found to support the notion that a general increase in the number of subsidized units will decrease the total number of homeless. However, estimates suggest that federally subsidized housing targeted toward the poor reduces the rate of homelessness.

Dirk W. Early; Edgar O. Olsen

2000-01-01T23:59:59.000Z

199

A Census of Precipitation Features in the Tropics Using TRMM: Radar, Ice Scattering, and Lightning Observations  

Science Conference Proceedings (OSTI)

An algorithm has been developed to identify precipitation features (?75 km2 in size) in two land and two ocean regions during August, September, and October 1998. It uses data from two instruments on the Tropical Rainfall Measuring Mission (TRMM) ...

Stephen W. Nesbitt; Edward J. Zipser; Daniel J. Cecil

2000-12-01T23:59:59.000Z

200

Spectrum of Solar Type I Continuum Noise Storm in the 50- 80 MHz band, and Plasma characteristics in the associated source region  

E-Print Network (OSTI)

Continuum observations of a solar noise storm in the frequency range of 50-80 MHz observed with the Gauribidanur radio spectrograph during 2000 September, 26 & 27, are presented here. The radio spectral index of the noise storm continuum in the band 50- 80 MHz is found to be ? 3.65 during the above period. The Noise Storm continuum radiation is explained as a consequence of the non-thermal, plasma emission mechanism. The beam-density of suprathermal electrons is estimated for the coronal plasma near the source region of storm radiation. Supplementary evidence for the density-estimate is provided by way of analysing the imaging data from the SXT on-board the Yohkoh spacecraft, and the LASCO, MDI, and EIT on board the SoHO spacecraft. Subject headings: Sun: radio radiation — radiation mechanisms: non-thermal —

G. A. Shanmugha Sundaram; K. R. Subramanian

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

Spectrum of Solar Type I Continuum Noise Storm in the 50 - 80 MHz band, and Plasma characteristics in the associated source region  

E-Print Network (OSTI)

Continuum observations of a solar noise storm in the frequency range of 50 - 80 MHz observed with the Gauribidanur radio spectrograph during 2000 September, 26 & 27, are presented here. The radio spectral index of the noise storm continuum in the band 50 - 80 MHz is found to be ~3.65 during the above period. The Noise Storm continuum radiation is explained as a consequence of the non-thermal, plasma emission mechanism. The beam-density of suprathermal electrons is estimated for the coronal plasma near the source region of storm radiation. Supplementary evidence for the density-estimate is provided by way of analysing the imaging data from the SXT on-board the Yohkoh spacecraft, and the LASCO, MDI, and EIT on board the SoHO spacecraft.

G. A. Shanmugha Sundaram; K. R. Subramanian

2004-01-20T23:59:59.000Z

202

Spectrum of Solar Type I Continuum Noise Storm in the 50 - 80 MHz band, and Plasma characteristics in the associated source region  

E-Print Network (OSTI)

Continuum observations of a solar noise storm in the frequency range of 50 - 80 MHz observed with the Gauribidanur radio spectrograph during 2000 September, 26 & 27, are presented here. The radio spectral index of the noise storm continuum in the band 50 - 80 MHz is found to be ~3.65 during the above period. The Noise Storm continuum radiation is explained as a consequence of the non-thermal, plasma emission mechanism. The beam-density of suprathermal electrons is estimated for the coronal plasma near the source region of storm radiation. Supplementary evidence for the density-estimate is provided by way of analysing the imaging data from the SXT on-board the Yohkoh spacecraft, and the LASCO, MDI, and EIT on board the SoHO spacecraft.

Sundaram, G A S

2004-01-01T23:59:59.000Z

203

The peculiar motions of early-type galaxies in two distant regions - V. The Mg-sigma relation, age and metallicity  

E-Print Network (OSTI)

We examine the Mg-sigma relation for early-type galaxies in the EFAR sample and its dependence on cluster properties. A maximum likelihood fit gives global Mg-sigma relations of Mgb'=0.131log(sigma)-0.131 and Mg2=0.257log(sigma)-0.305, with intrinsic scatter of 0.016 mag in Mgb' and 0.023 mag in Mg2. The zeropoint for cD galaxies is higher than for E/S0 galaxies, implying cDs are older and/or more metal-rich than E/S0s with the same sigma. Mg-sigma zeropoint variations between clusters are consistent with the number of galaxies observed per cluster and the global intrinsic scatter in Mg-sigma. We find no significant correlation between the Mg-sigma zeropoint and the cluster velocity dispersion, X-ray luminosity or X-ray temperature over a wide range in cluster mass. We compare the intrinsic scatter in the Mg-sigma and Fundamental Plane (FP) relations with stellar population models to constrain the dispersion in ages, metallicities and M/L ratios for early-type galaxies at fixed sigma. Variations in age alone or metallicity alone cannot explain the measured intrinsic scatter in both Mg-sigma and the FP. We derive the joint constraints on the dispersion in age and metallicity implied by the scatter in the Mg-sigma and FP relations for a simple Gaussian model. We find upper limits on the dispersions at fixed sigma of 32% in dt/t and 38% in dZ/Z if variations in age and metallicity are uncorrelated; only strongly anti-correlated variations lead to significantly higher upper limits. The joint distribution of residuals from the Mg-sigma and FP relations is only marginally consistent with a model having no correlation between age and metallicity, and is better-matched by a model in which age and metallicity variations are moderately anti-correlated, with younger galaxies being more metal-rich. (Abridged)

Matthew Colless; David Burstein; Roger L. Davies; Robert K. McMahan; R. P. Saglia; Gary Wegner

1998-11-05T23:59:59.000Z

204

Design and evaluation of antiretroviral peptides corresponding to the C-terminal heptad repeat region (C-HR) of human immunodeficiency virus type 1 envelope glycoprotein gp41  

SciTech Connect

Two {alpha}-helical heptad repeats, N-HR and C-HR, located in the human immunodeficiency virus type 1 (HIV-1) envelope glycoprotein gp41, play an important role in membrane fusion by forming a 6-helix bundle. C34, a peptide mimicking C-HR, inhibits the formation of the 6-helix bundle; thus, it has potential as a novel antiretroviral compound. In order to improve the inhibitory effect of C34 on HIV-1 replication, we designed new C34-derived peptides based on computational analysis of the stable conformation of the 6-helix bundle. Newly designed peptides showed a stronger inhibitory effect on the replication of recombinant viruses containing CRF01{sub A}E, subtype B or subtype C Env than C34 or a fusion inhibitor, T-20. In addition, these peptides inhibited the replication of a T-20-resistant virus. We propose that these peptides could be applied to develop novel antiretroviral compounds to inhibit the replication of various subtypes of HIV-1 as well as of T-20-resistant variants.

Soonthornsata, Bongkot [Thailand-Japan Research Collaboration Center on Emerging and Re-emerging Infections (RCC-ERI), Nonthaburi (Thailand); Tian, Yu-Shi [Graduate School of Pharmaceutical Sciences, Osaka University, Osaka (Japan); Utachee, Piraporn; Sapsutthipas, Sompong [Thailand-Japan Research Collaboration Center on Emerging and Re-emerging Infections (RCC-ERI), Nonthaburi (Thailand); Isarangkura-na-ayuthaya, Panasda; Auwanit, Wattana [National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi (Thailand); Takagi, Tatsuya [Thailand-Japan Research Collaboration Center on Emerging and Re-emerging Infections (RCC-ERI), Nonthaburi (Thailand); Graduate School of Pharmaceutical Sciences, Osaka University, Osaka (Japan); Ikuta, Kazuyoshi [Thailand-Japan Research Collaboration Center on Emerging and Re-emerging Infections (RCC-ERI), Nonthaburi (Thailand); Department of Virology, Research Institute for Microbial Diseases, Osaka University, Osaka (Japan); Sawanpanyalert, Pathom [National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi (Thailand); Kawashita, Norihito [Thailand-Japan Research Collaboration Center on Emerging and Re-emerging Infections (RCC-ERI), Nonthaburi (Thailand); Graduate School of Pharmaceutical Sciences, Osaka University, Osaka (Japan); Kameoka, Masanori, E-mail: mkameoka@biken.osaka-u.ac.j [Thailand-Japan Research Collaboration Center on Emerging and Re-emerging Infections (RCC-ERI), Nonthaburi (Thailand); Department of Virology, Research Institute for Microbial Diseases, Osaka University, Osaka (Japan)

2010-09-15T23:59:59.000Z

205

Table HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit,  

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

5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, 5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.4 0.4 1.8 2.1 1.4 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Census Region and Division Northeast ...................................... 13.0 10.8 1.1 0.5 0.6 11.4 New England .............................. 3.5 3.1 0.2 Q 0.1 16.9 Middle Atlantic ............................ 9.5 7.7 0.9 0.4 0.4 13.4 Midwest ......................................... 17.5 16.0 0.3 Q 1.0 10.3 East North Central ......................

206

MULTIPLICITY AMONG F-TYPE STARS  

SciTech Connect

As part of a homogeneous all-sky volume-complete sample of half a thousand solar-type stars within 25 pc we present a census for the subset of the 150-mostly F-type stars-in the mass range 1.1 M{sub Sun} {<=} M {<=} 1.7 M{sub Sun} in terms of their observed multiplicities. The major obstacle, as expected, arises from the onset of stellar rotation in this mass range for it continues to support many hidden companions. Yet, a solid increase of the fraction of binary and higher level systems as a function of the primary mass is manifest. There is even the prospect that on account of many companion candidates the single-star fraction may already converge to zero at the transition to the A-type stars.

Fuhrmann, K.; Chini, R., E-mail: klaus@ing.iac.es [Astronomisches Institut, Ruhr-Universitaet Bochum, Universitaetsstrasse 150, D-44801 Bochum (Germany)

2012-12-15T23:59:59.000Z

207

A CENSUS OF OXYGEN IN STAR-FORMING GALAXIES: AN EMPIRICAL MODEL LINKING METALLICITIES, STAR FORMATION RATES, AND OUTFLOWS  

SciTech Connect

In this contribution, we present the first census of oxygen in star-forming galaxies in the local universe. We examine three samples of galaxies with metallicities and star formation rates (SFRs) at z = 0.07, 0.8, and 2.26, including the Sloan Digital Sky Survey (SDSS) and DEEP2 survey. We infer the total mass of oxygen produced and mass of oxygen found in the gas-phase from our local SDSS sample. The star formation history is determined by requiring that galaxies evolve along the relation between stellar mass and SFR observed in our three samples. We show that the observed relation between stellar mass and SFR for our three samples is consistent with other samples in the literature. The mass-metallicity relation is well established for our three samples, and from this we empirically determine the chemical evolution of star-forming galaxies. Thus, we are able to simultaneously constrain the SFRs and metallicities of galaxies over cosmic time, allowing us to estimate the mass of oxygen locked up in stars. Combining this work with independent measurements reported in the literature, we conclude that the loss of oxygen from the interstellar medium of local star-forming galaxies is likely to be a ubiquitous process with the oxygen mass loss scaling (almost) linearly with stellar mass. We estimate the total baryonic mass loss and argue that only a small fraction of the baryons inferred from cosmological observations accrete onto galaxies.

Zahid, H. J.; Dima, G. I.; Kewley, L. J. [Institute for Astronomy, University of Hawaii at Manoa, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Erb, D. K. [Department of Physics, University of Wisconsin-Milwaukee, 1900 E. Kenwood Boulevard, Milwaukee, Wisconsin, WI 53211 (United States); Dave, R. [Department of Astronomy, University of Arizona, 933 North Cherry Avenue, Rm. N204 Tucson, AZ 85721 (United States)

2012-09-20T23:59:59.000Z

208

Consumer Attitudes About Renewable Energy: Trends and Regional Differences  

SciTech Connect

The data in this report are taken from Natural Marketing Institute's (NMI's) Lifestyles of Health and Sustainability Consumer Trends Database. Created in 2002, the syndicated consumer database contains responses from 2,000 to 4,000 nationally representative U.S. adults (meaning the demographics of the sample are consistent with U.S. Census findings) each year. NMI used the database to analyze consumer attitudes and behavior related to renewable energy and to update previously conducted related research. Specifically, this report will explore consumer awareness, concerns, perceived benefits, knowledge of purchase options, and usage of renewable energy as well as provide regional comparisons and trends over time.

Natural Marketing Institute, Harleysville, Pennsylvania

2011-04-01T23:59:59.000Z

209

Workplan to Analyze the Energy Impacts of Envelope ...  

Science Conference Proceedings (OSTI)

... and some type of averaging across census regions is ... (1992) Solar Energy Laboratory ... Modera M and Jansky R. “Residential Air-Distribution Systems ...

2005-10-07T23:59:59.000Z

210

Buildings and Energy in the 1980's  

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

1. Total Inputs of Energy for Heat, Power, and Electricity Generation by Census Region, Industry Group, Selected Industries, and Type of Energy Management Program, 1991 (Estimates...

211

Buildings and Energy in the 1980's  

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

for Purchased Electricity, Steam, and Natural Gas by Type of Supplier, Census Region, Industry Group, and Selected Industries, 1991 (Estimates in Million Dollars) SIC Code a...

212

A New Census of the variable star population in the Globular Cluster NGC 2419  

E-Print Network (OSTI)

We present B, V and I CCD light curves for 101 variable stars belonging to the globular cluster NGC2419, 60 of which are new discoveries, based on datasets obtained at the TNG, SUBARU and HST telescopes. The sample includes 75 RR Lyrae stars (of which 38 RRab, 36 RRc and one RRd), one Population II Cepheid, 12 SX Phoenicis variables, 2 DeltaScuti stars, 3 binary systems, 5 long-period variables, and 3 variables of uncertain classification. The pulsation properties of the RR Lyrae variables are close to those of Oosterhoff type II clusters, consistent with the low metal abundance and the cluster horizontal branch morphology,disfavoring (but not totally ruling out) an extragalactic hypotesis for the origin of NGC2419. The observed properties of RR Lyrae and SX Phoenicis stars are used to estimate the cluster reddening and distance, using a number of different methods. Our final value is mo(NGC2419)=19.71+/-0.08mag (D= 87.5+/-3.3kpc), with E(B-V)=0.08+/-0.01mag, [Fe/H]=-2.1dex in the Zinn & West metallicity ...

Di Criscienzo, M; Ripepi, V; Clementini, G; Ora, M Dall'; Marconi, M; Musella, I; Federici, L; Di Fabrizio, L

2010-01-01T23:59:59.000Z

213

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

residential and commercial electricity demand forecasts. The23 Electricity Demandand commercial electricity demand per census division from

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-01-01T23:59:59.000Z

214

Census Snapshot: Rhode Island  

E-Print Network (OSTI)

The presence of a senior or disabled partner in a couple mayleast one partner who is disabled: 33% of same-sex couples,partner over 65 Percent disabled Average household income

Romero, Adam P; Baumle, Amanda; Badgett, M.V. Lee; Gates, Gary J

2007-01-01T23:59:59.000Z

215

Census Snapshot: Wisconsin  

E-Print Network (OSTI)

WISCONSIN Adam P. Romero, Public Policy Fellow Amanda K.couples raising children in Wisconsin. We compare same-sex “sex married couples in Wisconsin. 1 DECEMBER 2007 In many

Romero, Adam P.; Baumle, Amanda K; Badgett, M.V. Lee; Gates, Gary J

2007-01-01T23:59:59.000Z

216

Census Snapshot: Arizona  

E-Print Network (OSTI)

couples (0.68%), and Pinal County with 398 couples (0.65%).County sex couples of all households Apache Cochise Coconino Gila Graham Greenlee La Paz Maricopa Mohave Navajo Pima Pinal

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

217

Census Snapshot: Colorado  

E-Print Network (OSTI)

COLORADO Adam P. Romero, Public Policy Fellow Clifford J.couples raising children in Colorado. We compare same-sex “sex married couples in Colorado. 1 APRIL 2008 In many ways,

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

218

Census Division State  

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

Average Monthly Consumption (kWh) Price (Cents per Kilowatthour) Monthly Bill (Dollar and cents) New England 6,189,701 639 15.89 101.60 Connecticut 1,453,864 740 18.11 134.07...

219

EIA - Census Division List  

Gasoline and Diesel Fuel Update (EIA)

9 9 Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii Tennessee Texas Montana Oregon

220

Census Division - List  

Annual Energy Outlook 2012 (EIA)

Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8...

Note: This page contains sample records for the topic "type census region" 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

Property:GeothermalRegion | Open Energy Information  

Open Energy Info (EERE)

Property Name GeothermalRegion Property Name GeothermalRegion Property Type Page Pages using the property "GeothermalRegion" Showing 25 pages using this property. (previous 25) (next 25) A Abraham Hot Springs Geothermal Area + Northern Basin and Range Geothermal Region + Adak Geothermal Area + Alaska Geothermal Region + Aidlin Geothermal Facility + Holocene Magmatic Geothermal Region + Akun Strait Geothermal Area + Alaska Geothermal Region + Akutan Fumaroles Geothermal Area + Alaska Geothermal Region + Akutan Geothermal Project + Alaska Geothermal Region + Alum Geothermal Area + Walker-Lane Transition Zone Geothermal Region + Alum Geothermal Project + Walker-Lane Transition Zone Geothermal Region + Alvord Hot Springs Geothermal Area + Northwest Basin and Range Geothermal Region +

222

Regional Residential  

Gasoline and Diesel Fuel Update (EIA)

upward pressure from crude oil markets, magnified by a regional shortfall of heating oil supplies, residential prices rose rapidly to peak February 7. The problem was...

223

Regional Purchasing  

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

Regional Purchasing Regional Purchasing Regional Purchasing Pursuant to Appendix M of Prime Contract No. DE-AC52-06NA25396 between DOE/NNSA and Los Alamos National Security, LLC (LANS), LANS is committed to building a strong supplier base with Northern New Mexico businesses and the local Native American pueblos in the purchases of goods and services. Contact Small Business Office (505) 667-4419 Email We seek out and utilize known Northern New Mexico business as suppliers The Northern New Mexico counties included are Los Alamos Santa Fe Rio Arriba Taos Mora San Miguel Sandoval The eight regional pueblos included are Nambe Ohkay Owingeh (formerly known as San Juan) Picuris Pojoaque San Ildefonso Santa Clara Taos Tesuque When the Laboratory cannot identify regional firms, it will expand its

224

Regional Inventories  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: This year has not started well for gasoline inventories, with inventories being low across regions of the country. The Midwest region (PADD II) had been running lower than most regions, but began to catch up during the last week in April. Gasoline inventories ran about 9% below their 5-year average for this time of year and about 4% below where they were last year. The recent refinery problems in the Midwest, though, could erase some of that recovery. The impacts of Tosco's Wood River refinery and Marathon's St Paul refinery are not fully realized. But inventories were also precariously low along the East Coast (PADD I) and are extremely low in the Rocky Mountain region (PADD IV), although the size of this market mitigates any national impact. While the

225

Residential Energy Consumption Survey: Consumption and expenditures, April 1984 through March 1985: Part 2, Regional data. [Contains glossary  

SciTech Connect

Included here are data at the Census region and division level on consumption of and expenditures for the major fuels used in residential households - electricity, natural gas, fuel oil/kerosene, and liquefied petroleum gas (LPG). Data are also presented on wood consumption. Section 1 of this report contains data on the average amount of energy consumed per household for space heating in 1984 and the corresponding expenditures. Sections 2 through 7 summarize the energy consumption and expenditure patterns. Appendices A through D contain information on how the survey was conducted, estimates of the size of the housing unit in square feet and the quality of the data. Procedures for calculating relative standard errors (RSE) are located in Appendix C, Quality of the Data. Procedures for estimating the end-use statistics are located in Appendix D. Census and weather maps, and related publications are located in Appendices E through G.

Not Available

1987-05-13T23:59:59.000Z

226

Award Types  

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

nuclear deterrent; reduce global threats; and solve other emerging national security and energy challenges. Contact Awards Team (505) 667-7824 Email Types of Awards The Awards...

227

CAPITAL REGION  

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

t 09/20/07 15:28 FAX 301 903 4656 t 09/20/07 15:28 FAX 301 903 4656 CAPITAL REGION 0 j002 SDOE F 1325.8 (8-89) EFG (0790) Energy United States Government Department of Energy Memorandum DATE. September 18, 2007 Audit Report No.: OAS-L-07-23 REPLY TO: IG-34 (A07TG036) SUBJECT: Evaluation of "The Federal Energy Regulatory Commission's Cyber Security Program-2007" TO: Chairman, Federal Energy Regulatory Commission The purpose of this report is to inform you of the results o Four evaluation of the Federal Energy Regulatory Commission's (Commission) cyber security program. The evaluation was initiated in May 2007, and our fieldwork was conducted through September 2007. Our methodology is described in the attachment to this report. . INTRODUCTION AND OBJECTIVE The Commission reports that it is constantly improving thl stability, reliability, and

228

Melanin Types  

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

Melanin Types Melanin Types Name: Irfan Location: N/A Country: N/A Date: N/A Question: What are different types of melanins? And what are the functions of these types? Replies: Hi Irfan! Melanin is a dark compound or better a photoprotective pigment. Its major role in the skin is to absorb the ultraviolet (UV) light that comes from the sun so the skin is not damaged. Sun exposure usually produces a tan at the skin that represents an increase of melanin pigment in the skin. Melanin is important also in other areas of the body, as the eye and the brain., but it is not completely understood what the melanin pigment does in these areas. Melanin forms a special cell called melanocyte. This cell is found in the skin, in the hair follicle, and in the iris and retina of the eye.

229

Type systems  

Science Conference Proceedings (OSTI)

The study of type systems has emerged as one of the most active areas of research in programming languages, with applications in software engineering, language design, high-performance compiler implementation, and security. This chapter discusses the ...

Benjamin C. Pierce

2003-01-01T23:59:59.000Z

230

A detailed census of variable stars in the globular cluster NGC 6333 (M9) from CCD differential photometry  

E-Print Network (OSTI)

We report CCD $V$ and $I$ time-series photometry of the globular cluster NGC 6333 (M9). The technique of difference image analysis has been used, which enables photometric precision better than 0.05 mag for stars brighter than $V \\sim 19.0$ mag, even in the crowded central regions of the cluster. The high photometric precision has resulted in the discovery of two new RRc stars, three eclipsing binaries, seven long-term variables and one field RRab star behind the cluster. A detailed identification chart and equatorial coordinates are given for all the variable stars in the field of our images of the cluster. Our data together with literature $V$-data obtained in 1994 and 1995 allowed us to refine considerably the periods for all RR Lyrae stars. The nature of the new variables is discussed. We argue that variable V12 is a cluster member and an Anomalous Cepheid. Secular period variations, double mode pulsations and/or the Blazhko-like modulations in some RRc variables are addressed. Through the light curve Fou...

Ferro, A Arellano; Jaimes, R Figuera; Giridhar, Sunetra; Kains, N; Kuppuswamy, K; Jørgensen, U G; Alsubai, K A; Andersen, J M; Bozza, V; Browne, P; Novati, S Calchi; Damerdji, Y; Diehl, C; Dominik, M; Dreizler, S; Elyiv, A; Giannini, E; Harpsøe, K; Hessman, F V; Hinse, T C; Hundertmark, M; Juncher, D; Kerins, E; Korhonen, H; Liebig, C; Mancini, L; Mathiasen, M; Penny, M T; Rabus, M; Rahvar, S; Ricci, D; Scarpetta, G; Skottfelt, J; Snodgrass, C; Southworth, J; Surdej, J; Tregloan-Reed, J; Vilela, C; Wertz, O

2013-01-01T23:59:59.000Z

231

Region 9: Pacific Rim Region, Regional Sustainability Plan  

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

REGION 9: PACIFIC RIM REGION REGION 9: PACIFIC RIM REGION Regional Sustainability Plan Presented by Ruth Cox Region 9 Regional Administrator Federal Utility Partnership Working Group (FUPWG) May 22 nd , 2013 REGION 9 INFORMATION MANAGE Federal space  36 million RSF in Region Nine * 173 owned buildings, 955 leased buildings * 100,000 Federal workers housed DESIGN & CONSTRUCT new Federal buildings $1.4 billion in FY12 capital construction projects $318 million in FY13 - Los Angeles Courthouse project PROVIDE PROCUREMENT LEADERSHIP across the Federal government  $1.24 billion in total GSA Schedule sales in FY12  $468 million to small businesses  34,000 fleet vehicles, 53% of which are Alternative Fuel Vehicles Pacific Rim Profile - CA, AZ, NV, HI

232

Lake Region State College | Open Energy Information  

Open Energy Info (EERE)

College College Jump to: navigation, search Name Lake Region State College Facility Lake Region State College Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Lake Region State College Developer Lake Region State College Energy Purchaser Lake Region State College Location Devils Lake ND Coordinates 48.166071°, -98.864529° 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":48.166071,"lon":-98.864529,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

233

Trench process and structure for backside contact solar cells with polysilicon doped regions  

DOE Patents (OSTI)

A solar cell includes polysilicon P-type and N-type doped regions on a backside of a substrate, such as a silicon wafer. An interrupted trench structure separates the P-type doped region from the N-type doped region in some locations but allows the P-type doped region and the N-type doped region to touch in other locations. Each of the P-type and N-type doped regions may be formed over a thin dielectric layer. Among other advantages, the resulting solar cell structure allows for increased efficiency while having a relatively low reverse breakdown voltage.

De Ceuster, Denis; Cousins, Peter John; Smith, David D

2013-05-28T23:59:59.000Z

234

Trench process and structure for backside contact solar cells with polysilicon doped regions  

SciTech Connect

A solar cell includes polysilicon P-type and N-type doped regions on a backside of a substrate, such as a silicon wafer. An interrupted trench structure separates the P-type doped region from the N-type doped region in some locations but allows the P-type doped region and the N-type doped region to touch in other locations. Each of the P-type and N-type doped regions may be formed over a thin dielectric layer. Among other advantages, the resulting solar cell structure allows for increased efficiency while having a relatively low reverse breakdown voltage.

De Ceuster, Denis (Woodside, CA); Cousins, Peter John (Menlo Park, CA); Smith, David D. (Campbell, CA)

2010-12-14T23:59:59.000Z

235

Type: Renewal  

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

1 INCITE Awards 1 INCITE Awards Type: Renewal Title: -Ab Initio Dynamical Simulations for the Prediction of Bulk Properties‖ Principal Investigator: Theresa Windus, Iowa State University Co-Investigators: Brett Bode, Iowa State University Graham Fletcher, Argonne National Laboratory Mark Gordon, Iowa State University Monica Lamm, Iowa State University Michael Schmidt, Iowa State University Scientific Discipline: Chemistry: Physical INCITE Allocation: 10,000,000 processor hours Site: Argonne National Laboratory Machine (Allocation): IBM Blue Gene/P (10,000,000 processor hours) Research Summary: This project uses high-quality electronic structure theory, statistical mechanical methods, and

236

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

237

Bacteria Types  

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

Bacteria Types Bacteria Types Name: Evelyn Location: N/A Country: N/A Date: N/A Question: What is the significance of S. marcescens,M.luteus, S.epidermidis, and E. Coli? Which of these are gram-positive and gram-negative, and where can these be found? Also, what problems can they cause? When we culture these bacteria, we used four methods: plates, broth, slants, and pour plates. The media was made of TSB, TSA, NAP, and NAD. What is significant about these culturing methods? Replies: I could give you the answer to that question but it is more informative, and fun, to find out yourself. Start with the NCBI library online (http://www.ncbi.nlm.nih.gov/) and do a query with the species name, and 'virulence' if you want to know what they're doing to us. Have a look at the taxonomy devision to see how they are related. To find out if they're gram-pos or neg you should do a gram stain if you can. Otherwise you'll find that information in any bacteriology determination guide. Your question about the media is not specific enough so I can't answer it.

238

Census Division Summaries New England  

Gasoline and Diesel Fuel Update (EIA)

New New England ..................................... 187,469 1,940,894 160,761 197,567 167,354 15,231 Middle Atlantic ................................... 904,490 8,627,697 558,149 754,944 767,093 31,880 East North Central............................. 1,640,926 12,116,529 790,682 1,007,756 1,455,204 62,460 West North Central............................ 528,662 4,619,457 347,721 509,593 449,511 13,910 South Atlantic .................................... 457,792 5,446,188 320,153 514,514 716,648 13,243 East South Central ............................ 227,335 2,722,985 150,694 288,039 503,327 7,692 West South Central ........................... 408,861 5,854,303 281,452 548,533 3,528,911 14,571 Mountain............................................ 299,923 3,746,952 210,381 344,111 311,229 5,861 Pacific Contiguous.............................

239

Census Snapshot: New York City  

E-Print Network (OSTI)

at least one partner who is disabled, compared to 36% ofat least one partner who is disabled, compared to 44% ofat least one partner who is disabled, compared to 40% of

Romero, Adam P.; Gates, Gary J

2008-01-01T23:59:59.000Z

240

Facility Type!  

Office of Legacy Management (LM)

ITY: ITY: --&L~ ----------- srct-r~ -----------~------~------- if yee, date contacted ------------- cl Facility Type! i I 0 Theoretical Studies Cl Sample 84 Analysis ] Production 1 Diepasal/Storage 'YPE OF CONTRACT .--------------- 1 Prime J Subcontract&- 1 Purchase Order rl i '1 ! Other information (i.e., ---------~---~--~-------- :ontrait/Pirchaee Order # , I C -qXlJ- --~-------~~-------~~~~~~ I I ~~~---~~~~~~~T~~~ FONTRACTING PERIODi IWNERSHIP: ,I 1 AECIMED AECMED GOVT GOUT &NTtiAC+OR GUN-I OWNED ----- LEEE!? M!s LE!Ps2 -LdJG?- ---L .ANDS ILJILDINGS X2UIPilENT IRE OR RAW HA-I-L :INAL PRODUCT IASTE Z. RESIDUE I I kility l pt I ,-- 7- ,+- &!d,, ' IN&"E~:EW AT SITE -' ---------------- , . Control 0 AEC/tlED managed operations

Note: This page contains sample records for the topic "type census region" 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

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

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

2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Owner-Occupied Housing Unit PDF Four Most Populated States PDF Urban/Rural Location PDF Northeast Census Region PDF Midwest Census Region PDF South Census Region PDF West Census Region PDF Tables HC2: Household Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Housing Unit PDF Type of Owner-Occupied Housing Unit PDF Type of Rented Housing Unit PDF

242

Buildings Energy Data Book: 5.9 On-Site Power  

Buildings Energy Data Book (EERE)

4 Installed Combined Heat and Power Capacity as of 2011, Selected Building Type and Census Region (MW) South West Total Total Source(s): 1,238 783 1,326 1,008 4,355 Energy and...

243

Regional companies eye growth  

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

Regional companies eye growth Regional companies eye growth Adaptive Radio Technologies, Los Alamos Visualization Associates, Mesa Tech International Inc., and ThermaSun Inc. were...

244

Number: 1894 Type: factoid ...  

Science Conference Proceedings (OSTI)

... type> Type: factoid Description: How high is the pitcher's mound? ... 2047 Type: factoid Description: How close is Mercury to ...

2003-08-04T23:59:59.000Z

245

Precipitation Types in the Transition Region of Winter Storms  

Science Conference Proceedings (OSTI)

Winter storms often produce snow, freezing rain, and ice pellets. The characteristics and formation of these forms of precipitation as well as their location within storms are reviewed. Phenomena such as accretion and fog can be related to this ...

Ronald E. Stewart

1992-03-01T23:59:59.000Z

246

INTRODUCTION In the Gulf of Mexico region, two types of  

E-Print Network (OSTI)

recoverable reserves of 10176 m.b. of oil and 5169 billion cubic feet (1464 � 108 m3) of gas (PEMEX Ruíz-Morales Jesús García-Hernández Región Marina Noreste, PEMEX Exploración y Producción, Ciudad del by Montanari et al. (1994), located at km 11.7 on the road leading to the PEMEX well Soyaló-1A about 40 km

Claeys, Philippe

247

REGIONAL ASSESSMENT PROGRAM MASTER Regional Issue Identification  

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

from these Federal Region totals. Energy sources addressed were coal, nuclear, oil, oil shale, gas, geothermal, . - - - hydroelectric and solar. Six of the national laboratories,...

248

Mosaic neurofibromatosis type 1  

E-Print Network (OSTI)

with neurofibromatosis type 1 (NF1) with microdeletionsM, Huson S. Mosaic (segmental) neurofibromatosis type 1and type 2: no longer neurofibromatosis type 5. Am J Med

Liang, Christine; Schaffer, Julie V

2008-01-01T23:59:59.000Z

249

Regional differences for cost of crude oil to refiners widened in ...  

U.S. Energy Information Administration (EIA)

The cost of crude oil to refiners varies across regions based on the different types of crude oil available to refiners and transportation bottlenecks in that region.

250

Average regional end-use energy price projections to the year 2030  

Science Conference Proceedings (OSTI)

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration's (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-01-01T23:59:59.000Z

251

Average regional end-use energy price projections to the year 2030  

SciTech Connect

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration`s (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-12-31T23:59:59.000Z

252

Regional Districts, Commissions, and Authorities (South Carolina) |  

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

Regional Districts, Commissions, and Authorities (South Carolina) Regional Districts, Commissions, and Authorities (South Carolina) Regional Districts, Commissions, and Authorities (South Carolina) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State South Carolina Program Type Siting and Permitting Provider Regional Districts, Commissions, and Authorities

253

char_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

254

" Million Housing Units, Final...  

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

0 Appliances in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South...

255

" Million Housing Units, Final...  

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

8 Home Appliances in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle...

256

Estimating the economic and demographic impacts of solar technology commercialization on US regions  

DOE Green Energy (OSTI)

The purpose of this study is to develop a framework through which these regional economic and demographic impacts of solar technology commercialization can be analyzed. Two models comprise the basis of this framework - a national input/output model and an interregional econometric model, the National-Regional Impact Evaluation System (NRIES). These models are used to convert projected sales of solar energy systems to gross output concepts, and to evaluate the impacts associated with these sales. Analysis is provided for the nine census regions and 50 states and the District of Columbia for the years 1980 through 1990. Impacts on major economic aggregates such as output, employment, income, and population are described. The methodology used in this study is described. The economic and demographic impacts of solar technology commercialization on US regions and states are presented. The major conclusions of the study are summarized, and direction is provided for further research. Detailed tables of regional and state solar energy expenditures and their impacts appear in the Appendix.

Kort, J.R.

1980-12-01T23:59:59.000Z

257

North American Regional Reanalysis  

Science Conference Proceedings (OSTI)

In 1997, during the late stages of production of NCEP-NCAR Global Reanalysis (GR), exploration of a regional reanalysis project was suggested by the GR project's Advisory Committee, “particularly if the RDAS [Regional Data Assimilation System] is ...

Fedor Mesinger; Geoff DiMego; Eugenia Kalnay; Kenneth Mitchell; Perry C. Shafran; Wesley Ebisuzaki; Dušan Jovi?; Jack Woollen; Eric Rogers; Ernesto H. Berbery; Michael B. Ek; Yun Fan; Robert Grumbine; Wayne Higgins; Hong Li; Ying Lin; Geoff Manikin; David Parrish; Wei Shi

2006-03-01T23:59:59.000Z

258

Regional hydrothermal commercialization plan  

SciTech Connect

This plan for the Rocky Mountain Basin and Range Region articulates the complete range of initiatives (federal, state, local, and industrial) required for the early commercialization of the regions geothermal resources. (MHR)

1978-07-14T23:59:59.000Z

259

Type checking and normalisation.  

E-Print Network (OSTI)

??This thesis is about Martin-Löf's intuitionistic theory of types (type theory). Type theory is at the same time a formal system for mathematical proof and… (more)

Chapman, James Maitland

2009-01-01T23:59:59.000Z

260

Hybrid type checking  

E-Print Network (OSTI)

Phase distinctions in type theory. Manuscript, 1988. [10]Typechecking dependent types and subtypes. In Lecture notesF. Pfenning. Intersection types and computational effects.

Flanagan, C

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

Type 2 segmental glomangiomas  

E-Print Network (OSTI)

skin disorders: different types of severitiy reflectevidence for dichotomous types of severitiy. Arch Dermatol9. Happle R, König A. Type 2 segmental manifestation of

Hoekzema, Rick; Zonneveld, Ingrid M; Wal, Allard C van der

2010-01-01T23:59:59.000Z

262

" Million U.S. Housing Units"  

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

"Table HC14.3 Household Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

263

Western Regional Partnership Overview  

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

Regional Partnership Overview Regional Partnership Overview June 2013 Briefing Overview  WRP Background  Importance of Region  WRP Tribal Relations Committee  WRP Energy Committee WRP Region's Uniqueness  5 states stretching from the Great Plains to the Pacific Ocean  Diverse terrain ranging from desert valleys to forested mountains  Significant State Trust Landholdings  Approximately 188 Federally recognized Tribes  Significant amounts of Federally managed land  According to GSA 2004 study, WRP states range from 41.8% - 84.5% of total state land WRP Region's Importance to DoD  Extensive Training Ranges  Interconnected ground/air ranges provide unmatched warfighter training opportunities

264

Agricultural production in the United States by county: a compilation of information from the 1974 census of agriculture for use in terrestrial food-chain transport and assessment models  

SciTech Connect

Terrestrial food-chain models that simulate the transport of environmentally released radionuclides incorporate parameters describing agricultural production and practice. Often a single set of default parameters, such as that listed in USNRC Regulatory Guide 1.109, is used in lieu of site-specific information. However, the geographical diversity of agricultural practice in the United States suggests the limitations of a single set of default parameters for assessment models. This report documents default parameters with a county-wide resolution based on analysis of the 1974 US Census of Agriculture for use in terrestrial food chain models. Data reported by county, together with state-based information from the US Department of Agriculture, Economic and Statistics Service, provided the basis for estimates of model input parameters. This report also describes these data bases, their limitations, and lists default parameters by county. Vegetable production is described for four categories: leafy vegetables; vegetables and fruits exposed to airborne material; vegetables, fruits, and nuts protected from airborne materials; and grains. Livestock feeds were analyzed in categories of hay, silage, pasture, and grains. Pasture consumption was estimated from cattle and sheep inventories, their feed requirements, and reported quantities of harvested forage. The results were compared with assumed yields of the pasture areas reported. In addition, non-vegetable food production estimates including milk, beef, pork, lamb, poultry, eggs, goat milk, and honey are described. The agricultural parameters and land use information - in all 47 items - are tabulated in four appendices for each of the 3067 counties of the US reported to the Census of Agriculture, excluding those in Hawaii and Alaska.

Shor, R.W.; Baes, C.F. III; Sharp, R.D.

1982-01-01T23:59:59.000Z

265

Regional Comparisons, Spatial Aggregation,  

Gasoline and Diesel Fuel Update (EIA)

Regional Regional Comparisons, Spatial Aggregation, and Asymmetry of Price Pass-Through in U.S. Gasoline Markets MICHAEL YE*, JOHN ZYREN**, JOANNE SHORE**, AND MICHAEL BURDETTE** Abstract Spot to retail price pass-through behavior of the U.S. gasoline market was investigated at the national and regional levels, using weekly wholesale and retail motor gasoline prices from January 2000 to the present. Asymmetric pass-through was found across all regions, with faster pass-through when prices are rising. Pass-through patterns, in terms of speed and time for completion, were found to vary from region to region. Spatial aggregation was investigated at the national level and the East Coast with the aggregated cumulative pass-through being greater than the volume-weighted regional pass-through when spot prices increase. These results are useful to the petroleum industry, consumers,

266

Writing with Complex Type  

E-Print Network (OSTI)

29] Middendorp, J. 2004. Dutch type. 010 Publishers. [30]A. Hyland. 1992. Twentieth-century type. Laurence King. [7]Robertson. 2005. From Movable Type to Moving Type-Evolution

Lewis, Jason; Nadeau, Bruno

2009-01-01T23:59:59.000Z

267

abstract data type  

Science Conference Proceedings (OSTI)

Definition of abstract data type, possibly with links to more information and implementations. NIST. abstract data type. (definition). ...

2013-11-08T23:59:59.000Z

268

Virginia Regional Industrial Facilities Act (Virginia) | Department of  

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

Regional Industrial Facilities Act (Virginia) Regional Industrial Facilities Act (Virginia) Virginia Regional Industrial Facilities Act (Virginia) < Back Eligibility Commercial Construction Developer Industrial Investor-Owned Utility Local Government Municipal/Public Utility Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Virginia Program Type Industry Recruitment/Support Provider Regional Industrial Facility Authorities The Virginia Regional Industrial Facilities Act is meant to aid the economic development of localities within the Commonwealth. The Act provides a mechanism for localities to establish regional industrial facility authorities, enabling them to pool financial resources to stimulate economic development. The purpose of a regional industrial

269

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

270

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408) costs apply to those items that are consumed in production process and are roughly proportional to level in cash flow analysis and in the decision to use the equipment for reclamation? Types of Costs #12

Boisvert, Jeff

271

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining the equipment for reclamation? Types of Costs #12;· Marginal Cost: ­ Change in total cost ­ Any production process involves fixed and variable costs. As production increases/expands, fixed costs are unchanged, so

Boisvert, Jeff

272

Regional Education Partners  

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

Northern New Mexico and LANL through effective partnerships with regional secondary and higher education organizations, businesses and industry. Contact Executive Office Director...

273

Regional Climate Information & Modeling  

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

Information & Modeling Print E-mail The specific impacts and vulnerabilities posed by climate change are largely defined by regional differences 9in things like geography,...

274

Regional Dynamics Model (REDYN) | Open Energy Information  

Open Energy Info (EERE)

Regional Dynamics Model (REDYN) Regional Dynamics Model (REDYN) Jump to: navigation, search Tool Summary Name: REDYN Agency/Company /Organization: Regional Dynamics Inc. Sector: Energy Phase: Determine Baseline, "Evaluate Options and Determine Feasibility" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property., Develop Goals Topics: Market analysis, Policies/deployment programs, Co-benefits assessment, - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.regionaldynamics.com/

275

Type systems for dummies  

Science Conference Proceedings (OSTI)

We extend Pure Type Systems with a function turning each term M of type A into a dummy |M| of the same type (|.| is not an identity, in that M ? |M|). Intuitively, a dummy represents an unknown, canonical object of the given type: dummies are opaque ... Keywords: canonical element, proof irrelevance, pure type system

Andrea Asperti; Ferruccio Guidi

2012-01-01T23:59:59.000Z

276

Generalized Region Connection Calculus  

Science Conference Proceedings (OSTI)

The Region Connection Calculus (RCC) is one of the most widely referenced system of high-level (qualitative) spatial reasoning. RCC assumes a continuous representation of space. This contrasts sharply with the fact that spatial information obtained from ... Keywords: (Generalized) Boolean connection algebra, (Generalized) Region Connection Calculus, Continuous space, Discrete space, Mereology, Mereotopology, Qualitative spatial reasoning

Sanjiang Li; Mingsheng Ying

2004-12-01T23:59:59.000Z

277

ARM - Measurement - Cloud type  

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

type ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud type Cloud type such as...

278

Regional comparisons of on-site solar potential in the residential and industrial sectors  

SciTech Connect

Regional and sub-regional differences in the potential development of decentralized solar technologies are studied. Two sectors of the economy were selected for intensive analysis: the residential and industrial sectors. In both investigations, the sequence of analysis follows the same general steps: (1) selection of appropriate prototypes within each land-use sector disaggregated by census region; (2) characterization of the end-use energy demand of each prototype in order to match an appropriate decentralized solar technology to the energy demand; (3) assessment of the energy conservation potential within each prototype limited by land use patterns, technology efficiency, and variation in solar insolation; and (4) evaluation of the regional and sub-regional differences in the land use implications of decentralized energy supply technologies that result from the combination of energy demand, energy supply potential, and the subsequent addition of increasingly more restrictive policies to increase the percent contribution of on-site solar energy. Results are presented and discussed. It is concluded that determining regional variations in solar energy contribution for both the residential and industrial sectors appears to be more dependent upon a characterization of existing demand and conservation potential than regional variations in solar insolation. Local governmental decisions influencing developing land use patterns can significantly promote solar energy use and reduce reliance on non-renewable energy sources. These decisions include such measures as solar access protection through controls on vegetation and on building height and density in the residential sector, and district heating systems and industrial co-location in the manufacturing sector. (WHK)

Gatzke, A.E.; Skewes-Cox, A.O.

1980-10-01T23:59:59.000Z

279

Cape Cod Regional Transit Authority | Open Energy Information  

Open Energy Info (EERE)

Cod Regional Transit Authority Cod Regional Transit Authority Jump to: navigation, search Name Cape Cod Regional Transit Authority Facility Cape Cod Regional Transit Authority Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner Sustainable Energy Development Energy Purchaser Cape Cod Regional Transit Authority Location Hyannis MA Coordinates 41.69005134°, -70.14437914° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.69005134,"lon":-70.14437914,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

280

Industrial sector end use. Energy Consumption Data Base (ECDB) for 1975 and 1976. Volume I. Summary of 1976 results. Final report  

SciTech Connect

This report is the summary document of a three-volume report. It contains an introduction followed by tables of data containing the following information: 1976 national energy consumption by industry fuel type, and end use; 1976 regional energy consumption by industry fuel type, and census division; 1976 regional energy consumption by industry fuel type, and federal regions; 1976 regional energy consumption by industry fuel type, and PAD district; 1976 state energy consumption by industry fuel type, and by state. (PLG)

1980-12-15T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

the Regional Development Corporation  

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

carry out this work, CPO partners carry out this work, CPO partners with the Los Alamos National Laboratory Foundation for education, the Regional Development Corporation for economic development, and the regional United Way organizations for community giving. Education Los Alamos National Security (LANS) invests more than $1 million each year to enhance regional educational opportunities in science, technology, engineering, and math (STEM) education. Education Focus Areas Our education commitments address four focus areas: * Workforce Development * Student Internships * Teacher and Faculty Professional Development * Public Understanding of Science In 2011, more than 1,100 students

282

Regional Planning | Data.gov  

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

Regional Planning Regional Planning Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Regional Planning Efforts Alias (field_alias) Apply California, Oregon, Washington Regional Ocean Partnership West Coast Governors' Alliance Regional Data Portal In Development U.S. Virgin Islands, Puerto Rico Regional Ocean Partnership U.S. Caribbean Regional Ocean Partnership-currently being formally established Regional Data Portal To be developed Georgia, Florida, North Carolina, South Carolina Regional Ocean Partnership Governors' South Atlantic Alliance Regional Data Portal Currently in development American Samoa, Commonwealth of the Northern Mariana Islands (CNMI), Federated States of Micronesia, Guam, Hawaii, Marshall Islands, Palau

283

Type-checking injective pure type systems  

Science Conference Proceedings (OSTI)

Injective pure type systems form a large class of pure type systems for which one can compute by purely syntactic means two sorts elmt(?∣M) and sort(?∣M), where ? is a pseudo-context and M is a pseudo-term, ...

Gilles Barthe

1999-11-01T23:59:59.000Z

284

Regional Competitions - EERE Commercialization Office  

Regional Competitions. Six Regional Clean Energy Business Plan Competitions are taking place across the country– representing all of the United ...

285

Regional Carbon Sequestration Partnerships  

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

Regional Carbon Sequestration Partnerships Review Meeting October 12-14, 2005 Table of Contents Agenda PDF-1438KB Phase I Program Review Meeting Phase II Kick-Off Meeting Phase...

286

Regional and Global Data  

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

Products > Regional/Global Products > Regional/Global Regional and Global Data Biogeochemical Dynamics Data Regional and global biogeochemical dynamics data can be used to improve our understanding of the structure and function of various ecosystems; to enable prediction across spatial and temporal scales; and to parameterize and validate terrestrial ecosystem models. The ORNL DAAC compiles, archives, and distributes more than 150 products from the following projects: Climate Collections Hydroclimatology Collections ISLSCP II Project Net Primary Productivity (NPP) River Discharge (RIVDIS) Russian Land Cover (RLC) Soil Collections Vegetation Collections Vegetation-Ecosystem Modeling (VEMAP) Climate Collections Climate collections include measured and modeled values for variables such as temperature, precipitation, humidity, radiation, wind velocity, and

287

Regional Climate Research  

Science Conference Proceedings (OSTI)

The Workshop on Regional Climate Research: Needs and Opportunities was held 2–4 April 2001 at the National Center for Atmospheric Research, Boulder, Colorado. The workshop was cosponsored by the National Science Foundation and the Department of ...

L. Ruby Leung; Linda O. Mearns; Filippo Giorgi; Robert L. Wilby

2003-01-01T23:59:59.000Z

288

Regional Climate Information & Modeling  

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

is a series of six region-specific adaptation tools for the coastal communities in Indonesia, Malaysia, the Philippines, the Solomon Islands, Timor-Leste, and Papua New Guinea....

289

Sections / Geographical Regions Information  

Science Conference Proceedings (OSTI)

AOCS Sections provide a local forum for fats and oils professionals. Building a Stronger Global Association Sections / Geographical Regions Information Divisions achievement agricultural analytical application award awards biotechnology detergents

290

Table A4. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 2" "...

291

Table A22. Total First Use (formerly Primary Consumption)...  

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

First Use (formerly Primary Consumption) of Combustible Energy for Nonfuel" " Purposes by Census Region, Census Division, and Economic Characteristics of the Establishment," 1994 "...

292

EIA - Electricity Data  

U.S. Energy Information Administration (EIA)

Independent Power Producers by Census Division and State, July 2013 : Census Region and State Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gases Nuclear

293

EIA - Electricity Data  

U.S. Energy Information Administration (EIA)

Industrial Sector by Census Division and State, Year-to-Date through July 2013: Census Region and State Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gases

294

Typing constraint logic programs  

Science Conference Proceedings (OSTI)

We present a prescriptive type system with parametric polymorphism and subtyping for constraint logic programs. The aim of this type system is to detect programming errors statically. It introduces a type discipline for constraint logic programs and ... Keywords: Constraint logic programming, Metaprogramming, Prolog, subtyping, type systems

François Fages; Emmanuel Coquery

2001-11-01T23:59:59.000Z

295

2005 RECS Detailed tables - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Climate Zone (HC9.5) XLS. PDF. Census Regions (HC10.5) XLS. PDF. Northeast Census Divisions (HC11.5) XLS. PDF. Midwest Census Divisions (HC12.5) XLS. PDF ...

296

Alternative Fuels Data Center: Regional Climate Change Initiative  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Regional Climate Regional Climate Change Initiative to someone by E-mail Share Alternative Fuels Data Center: Regional Climate Change Initiative on Facebook Tweet about Alternative Fuels Data Center: Regional Climate Change Initiative on Twitter Bookmark Alternative Fuels Data Center: Regional Climate Change Initiative on Google Bookmark Alternative Fuels Data Center: Regional Climate Change Initiative on Delicious Rank Alternative Fuels Data Center: Regional Climate Change Initiative on Digg Find More places to share Alternative Fuels Data Center: Regional Climate Change Initiative on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Regional Climate Change Initiative Governors of Oregon, Washington, and California approved a series of

297

Establishing Regional Resource Centers  

Wind Powering America (EERE)

Establishing Regional Resource Centers Establishing Regional Resource Centers July 25, 2013 Coordinator: Welcome and thank you for standing by. At this time all participants are in a listen only mode. To ask a question later during the question and answer session please press star then 1 on your touchtone phone. Today's conference is being recorded. If you have any objections you may disconnect. And I would like to turn it over to Mr. Jonathan Bartlett. Sir, you may begin. Jonathan Bartlett: Thank you very much. This is Jonathan Bartlett from the Department of Energy's Wind and Water Power Technologies Office. Today's WPA Webinar will be on the subject of establishing regional resource centers. I will be joined by Ian Baring-Gould at the National Renewable Energy Laboratory and the

298

Regional Retail Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Retail gasoline prices, like those for distillate fuels, have hit record prices nationally and in several regions this year. The national average regular gasoline price peaked at $1.68 per gallon in mid-June, but quickly declined, and now stands at $1.45, 17 cents higher than a year ago. Two regions, in particular, experienced sharp gasoline price runups this year. California, which often has some of the highest prices in the nation, saw prices peak near $1.85 in mid-September, while the Midwest had average prices over $1.87 in mid-June. Local prices at some stations in both areas hit levels well over $2.00 per gallon. The reasons for the regional price runups differed significantly. In the Midwest, the introduction of Phase 2 RFG was hampered by low stocks,

299

regional | OpenEI  

Open Energy Info (EERE)

regional regional Dataset Summary Description The UK Department of Energy and Climate Change (DECC) releases annual statistics on domestic and industrial/commercial electricity and gas consumption (and number of meters) at the Middle Layer Super Output Authority (MLSOA) and Intermediate Geography Zone (IGZ) level (there are over 950 of these subregions throughout England, Scotland and Wales). Both MLSOAs (England and Wales) and IGZs (Scotland) include a minimum of approximately 2,000 households. Source UK Department of Energy and Climate Change (DECC) Date Released March 01st, 2008 (6 years ago) Date Updated Unknown Keywords Electricity Consumption gas regional UK Data application/zip icon Guidance document for interpreting data (zip, 1.2 MiB) application/vnd.ms-excel icon Excel file: 2005 MLSOA and IGZ gas and electricity (xls, 10 MiB)

300

appl_household2001.pdf  

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

9a. Appliances by Northeast Census Region, 9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1 .............................................................. 95.2 18.2 13.3 4.9 1.1 2 or More ................................................. 6.5 1.4 1.1 0.3 11.7 Most Used Oven ...................................... 101.7 19.6 14.5 5.2 1.1 Electric .....................................................

Note: This page contains sample records for the topic "type census region" 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

appl_household2001.pdf  

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

2a. Appliances by West Census Region, 2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1 .............................................................. 95.2 20.9 6.4 14.5 1.1 2 or More ................................................. 6.5 1.2 0.2 1.0 14.6 Most Used Oven ...................................... 101.7 22.1 6.6 15.5 1.1 Electric .....................................................

302

Regular Object Types  

E-Print Network (OSTI)

Regular expression types have been proposed as a foundation for statically typed processing of XML and similar forms of tree-structured data. To date, however, regular expression types have been explored in special-purpose languages (e.g., XDuce, CDuce, and XQuery) with type systems designed around regular expression types "from the ground up." The goal of the Xtatic language is to bring regular expression types to a broad audience by offering them as a lightweight extension of a popular object-oriented language, C#. We develop...

Vladimir Gapeyev; Benjamin C. Pierce

2003-01-01T23:59:59.000Z

303

U.S. EPA Region 9 | Open Energy Information  

Open Energy Info (EERE)

Logo: U.S. EPA Region 9 Logo: U.S. EPA Region 9 Name U.S. EPA Region 9 Address 75 hawthorne st Place San Francisco, California Zip 94105 Region Bay Area Number of employees 501-1000 Website http://epa.gov/region9/ Coordinates 37.7853°, -122.398274° 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":37.7853,"lon":-122.398274,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

304

North County Regional Resource Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Regional Resource Biomass Facility Regional Resource Biomass Facility Jump to: navigation, search Name North County Regional Resource Biomass Facility Facility North County Regional Resource Sector Biomass Facility Type Municipal Solid Waste Location Palm Beach County, Florida Coordinates 26.6514503°, -80.2767327° 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":26.6514503,"lon":-80.2767327,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

305

Stockton Regional Water Control Facility Biomass Facility | Open Energy  

Open Energy Info (EERE)

Stockton Regional Water Control Facility Biomass Facility Stockton Regional Water Control Facility Biomass Facility Jump to: navigation, search Name Stockton Regional Water Control Facility Biomass Facility Facility Stockton Regional Water Control Facility Sector Biomass Facility Type Non-Fossil Waste Location San Joaquin County, California Coordinates 37.9175935°, -121.1710389° 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":37.9175935,"lon":-121.1710389,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

306

Table A44. Average Prices of Purchased Electricity and Steam  

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

4. Average Prices of Purchased Electricity and Steam" 4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

307

Table A39. Total Expenditures for Purchased Electricity and Steam  

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

9. Total Expenditures for Purchased Electricity and Steam" 9. Total Expenditures for Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" ," Electricity",," Steam" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,"Total United States" "RSE Column Factors:",0.3,2,1.6,1.2

308

"Table A38. Total Expenditures for Purchased Electricity, Steam, and Natural Gas"  

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

8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" 8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Million Dollars)" ,," Electricity",," Steam" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,,"Total United States"

309

NREL/OAS-Regional Building Efficiency Workshop | Open Energy Information  

Open Energy Info (EERE)

NREL/OAS-Regional Building Efficiency Workshop NREL/OAS-Regional Building Efficiency Workshop < NREL Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NREL/OAS-Regional Building Efficiency Workshop Agency/Company /Organization: National Renewable Energy Laboratory, Organization of American States (OAS) Sector: Energy Focus Area: Buildings, Buildings - Commercial, Buildings - Residential, Water Conservation Resource Type: Presentation, Training materials, Online calculator Website: www.nrel.gov/international/ Language: English References: NREL/OAS-Regional Building Efficiency Workshop[1] "NREL/OAS staff held a regional four-day training workshop to provide selected personnel with detailed knowledge of how to conduct a building efficiency audit. Topics covered included lighting, water conservation,

310

Regional 166 Direct Loan (Ohio) | Department of Energy  

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

Regional 166 Direct Loan (Ohio) Regional 166 Direct Loan (Ohio) Regional 166 Direct Loan (Ohio) < Back Eligibility Agricultural Commercial Construction Fuel Distributor Industrial Installer/Contractor Systems Integrator Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Maximum Rebate $350,000 Program Info State Ohio Program Type Loan Program Provider Ohio Department of Development The Ohio Development Services Agency's (ODSA) Regional 166 Direct Loan provides low-interest loans to businesses creating new jobs or preserving existing employment opportunities in the State of Ohio. Eligible projects include those related to industry, commerce, distribution or research activities. Retail projects are ineligible for the Regional 166

311

New, efficient regional architecture  

SciTech Connect

Recent trends in the design of solar homes are discussed with particular emphasis on the particular climate in which the house will be located. Regional climatic conditions will effect design strategies including insulation, ventilation, shading, site planning, window area, etc. The important effects of local climate have been established over the past 5 years. Sources of information concerning solar architecture are cited.

Stains, L.R.

1984-02-01T23:59:59.000Z

312

A CENSUS OF ROTATION AND VARIABILITY IN L1495: A UNIFORM ANALYSIS OF TRANS-ATLANTIC EXOPLANET SURVEY LIGHT CURVES FOR PRE-MAIN-SEQUENCE STARS IN TAURUS  

Science Conference Proceedings (OSTI)

We analyze light curves obtained by the Trans-atlantic Exoplanet Survey (TrES) for a field centered on the L1495 dark cloud in Taurus. The Spitzer Taurus Legacy Survey catalog identifies 179 bona fide Taurus members within the TrES field; 48 of the known Taurus members are detected by TrES, as well as 26 candidate members identified by the Spitzer Legacy team. We quantify the variability of each star in our sample using the ratio of the standard deviation of the original light curve ({sigma}{sub orig.}) to the standard deviation of a light curve that has been smoothed by 9 or 1001 epochs ({sigma}{sub 9} and {sigma}{sub 1001}, respectively). Known Taurus members typically demonstrate ({sigma}{sub orig.}/{sigma}{sub 9}) light curves dominated by unstructured white noise. Of the 74 Taurus members/candidates with TrES light curves, we detect significant variability in 49 sources. Adapting a quantitative metric originally developed to assess the reliability of transit detections, we measure the amount of red and white noise in each light curve and identify 18 known or candidate Taurus members with highly significant period measurements. These appear to be the first periods measured for four of these sources (HD 282276, CX Tau, FP Tau, TrES J042423+265008), and in two other cases, the first non-aliased periods (LkCa 21 and DK Tau AB). For the remainder, the TrES measurements typically agree very well ({delta}P < 1%) with previously reported values. Including periods measured at lower confidence for 15 additional sources, we report periods for 11 objects where no previous periods were found, including 8 confirmed Taurus members. We also identify 10 of the 26 candidate Taurus members that demonstrate variability levels consistent with being bona fide T Tauri stars. A Kolomgorov-Smirnov (K-S) test confirms that these new periods confirm the distinction between the rotation period distributions of stars with and without circumstellar disks, with only a 10% probability of the two populations sharing the same parent period distribution. K-S tests do suggest, however, that the updated Taurus period distribution now more closely resembles those measured in other young star-forming clusters (i.e., NGC 2264, NGC 6530, and the ONC). This improved agreement may reflect the exclusion of long rotation periods which are detected in Taurus at lower significance, and which may be beyond the limits of detectability in more distant star-forming regions.

Xiao Hongyu; Covey, Kevin R.; Lloyd, James P. [Department of Astronomy, Cornell University, 226 Space Sciences Building, Ithaca, NY 14853 (United States); Rebull, Luisa [Spitzer Science Center/Caltech, M/S 220-6, 1200 East California Boulevard, Pasadena, CA 91125 (United States); Charbonneau, David [Department of Astronomy, Harvard University, 60 Garden Street, Cambridge, MA 02138 (United States); Mandushev, Georgi [Lowell Observatory, 1400 West Mars Hill Road, Flagstaff, AZ 86001 (United States); O'Donovan, Francis; Slesnick, Catherine [Astronomy Department, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125 (United States)

2012-09-15T23:59:59.000Z

313

Types of Radiation Exposure  

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

External Irradiation Contamination Incorporation Biological Effects of Acute, Total Body Irradiation Managing Radiation Emergencies Procedure Demonstration Types of radiation...

314

Type B Drum packages  

Science Conference Proceedings (OSTI)

The Type B Drum package is a container in which a single drum containing Type B quantities of radioactive material will be packaged for shipment. The Type B Drum containers are being developed to fill a void in the packaging and transportation capabilities of the US Department of Energy (DOE), as no double containment packaging for single drums of Type B radioactive material is currently available. Several multiple-drum containers and shielded casks presently exist. However, the size and weight of these containers present multiple operational challenges for single-drum shipments. The Type B Drum containers will offer one unshielded version and, if needed, two shielded versions, and will provide for the option of either single or double containment. The primary users of the Type B Drum container will be any organization with a need to ship single drums of Type B radioactive material. Those users include laboratories, waste retrieval facilities, emergency response teams, and small facilities.

Edwards, W.S.

1995-11-01T23:59:59.000Z

315

Technique for inferring sizes of stellar-active regions  

Science Conference Proceedings (OSTI)

Inspection of spectroheliograms showing large, well-developed active regions generally show the sunspots to lead the associated plage, in the sense of the solar rotation. Measurements have been made from spectroheliograms of spot-plage offsets and compared with nearly contemporaneous integrated disk observations. Larger active regions generally show larger spot leads; however, information regarding active-region sizes and spot-plage offsets is not readily obtainable form stellar-type observations of the Sun.

Dobson-Hockey, A.K.; Radick, R.R.

1986-01-01T23:59:59.000Z

316

NETL: Regional Carbon Sequestration Partnerships  

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

RCSP Carbon Storage Regional Carbon Sequestration Partnerships In 2003, the U.S. Department of Energy (DOE) awarded cooperative agreements to seven Regional Carbon Sequestration...

317

Regional Opportunities in New Mexico  

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

Regional Opportunities in New Mexico Regional Opportunities in New Mexico The Richard P. Feynman Center for Innovation (FCI) facilitates a number of programs designed to stimulate...

318

Interaction Region Papers  

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

IR (Interaction Region) Magnets with Ramesh Gupta IR (Interaction Region) Magnets with Ramesh Gupta as the major author (unless noted): R. Gupta, et. al, "React & Wind Nb3Sn Common Coil Dipole", ASC 2006, August 27- September 1, 2006 in Seattle, WA, USA . *** Click Here for Talk ***. R. Gupta, "Modular Design and Modular Program for High Gradient Quadrupoles", ASC 2006, August 27- September 1, 2006 in Seattle, WA, USA. *** Click Here for Poster ***. Racetrack Magnet Designs and Technologies, WAMDO@CERN, April 2-6, 2006 (Click here for the oral presentation). R. Gupta, et. al, "Optimization of Open Midplane Dipole Design for LHC IR Upgrade," Presented at the 2005 Particle Accelerator Conference, Knoxville, TN, USA (2005). *** Click Here for Poster *** R. Gupta, et al., “Open Midplane Dipole Design for LHC IR

319

Regional University Alliance  

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

Alliance Alliance Developed by the National Energy Technology Laboratory in collaboration with NETL-Regional University Alliance WVU National Research Center for Coal and Energy Fossil Consulting Services, Inc. The AVESTAR(tm) Center provides a state-of- the-art, highly realistic, dynamic simulator for a coal-fired power plant using Integrated Gasification Combined Cycle (IGCC) technology with CO 2 capture. The system is based on Invensys' DYNSIM ® software

320

Regional Reserve Margins  

Science Conference Proceedings (OSTI)

This report explores the status of reserve margins across the country. Reserve margins represent the margin of excess capacity compared to demand. It is commonly calculated as the fraction of unused capacity during the summer peak. Simple in concept, the numbers can be difficult to calculate because of changes in geographic boundaries between regions, different views of what capacity qualifies to be counted, and changes in estimates of demand. This report provides a comprehensive and consistently calcula...

2009-03-23T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

EPRI Regional Haze Research  

Science Conference Proceedings (OSTI)

During the last decade, EPRI has investigated ways to improve the scientific basis for various steps required under the U.S. Environmental Protection Agency's (US EPA's) 1999 Regional Haze Regulations (RHR). Those regulations require mitigating visibility impairment in mandatory Class I areaslarger national parks and wilderness areasattributable to manmade air pollution by 2064. Several technical issues have arisen while interpreting the implementation process of the RHR. This report describes EPRI and o...

2007-03-27T23:59:59.000Z

322

Schottky barrier amorphous silicon solar cell with thin doped region adjacent metal Schottky barrier  

DOE Patents (OSTI)

A Schottky barrier amorphous silicon solar cell incorporating a thin highly doped p-type region of hydrogenated amorphous silicon disposed between a Schottky barrier high work function metal and the intrinsic region of hydrogenated amorphous silicon wherein said high work function metal and said thin highly doped p-type region forms a surface barrier junction with the intrinsic amorphous silicon layer. The thickness and concentration of p-type dopants in said p-type region are selected so that said p-type region is fully ionized by the Schottky barrier high work function metal. The thin highly doped p-type region has been found to increase the open circuit voltage and current of the photovoltaic device.

Carlson, David E. (Yardley, PA); Wronski, Christopher R. (Princeton, NJ)

1979-01-01T23:59:59.000Z

323

Regional Summary Gulf of Mexico Region Management Context  

E-Print Network (OSTI)

Regional Summary Gulf of Mexico Region Management Context The Gulf of Mexico Region includes by the Gulf of Mexico Fishery Management Council (GMFMC) and NOAA Fisheries (NMFS) under eight fishery in conjunction with the South Atlantic Fishery Management Council (SAFMC). Gulf of Mexico Region FMPs 1. Red Drum

324

Geothermal Regions | Open Energy Information  

Open Energy Info (EERE)

Regions Regions Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Regions RegionsMap2012.jpg Geothermal regions were outlined for the western United States (including Alaska and Hawaii) to identify geothermal areas, projects, and exploration trends for each region. These regions were developed based on the USGS physiographic regions (U.S. Geological Survey), and then adjusted to fit geothermal exploration parameters such as differences in geologic regime, structure, heat source, surface effects (weather, vegetation patterns, groundwater flow), and other relevant factors. The 21 regions can be seen outlined in red and overlain on the 2008 USGS Geothermal Favorability Map in Figure 1.[1] Add a new Geothermal Region List of Regions Area (km2) Mean MW

325

A Spatial Analysis of Radar Reflectivity Regions within Hurricane Charley (2004)  

Science Conference Proceedings (OSTI)

Regions of 35-dBZ radar reflectivity returns are examined within a landfalling hurricane to determine whether these regions are composed of stratiform, convective, or transition-type precipitation. After calculating spatial attributes of the ...

Corene J. Matyas

2009-01-01T23:59:59.000Z

326

Predictability of Explosive Cyclogenesis over the Northwestern Pacific Region Using Ensemble Reanalysis  

Science Conference Proceedings (OSTI)

The predictability of explosive cyclones over the northwestern Pacific region is investigated using an ensemble reanalysis dataset. Explosive cyclones are categorized into two types according to whether the region of the most rapid development is ...

Akira Kuwano-Yoshida; Takeshi Enomoto

327

Property:Region | Open Energy Information  

Open Energy Info (EERE)

Region Region Jump to: navigation, search This is a property of type Page. Pages using the property "Region" Showing 25 pages using this property. (previous 25) (next 25) 1 1st Light Energy, Inc. + Southern CA Area + 2 21-Century Silicon, Inc. + Texas Area + 3 3Degrees + Bay Area + 3TIER + Pacific Northwest Area + 4 4th Day Energy + Southern CA Area + 5 5 boro biofuel + Northeast - NY NJ CT PA Area + @ @Ventures (California) + Bay Area + @Ventures (Massachusetts) + Greater Boston Area + A A1 Sun, Inc. + Bay Area + A10 Power + Bay Area + A123 Systems + Greater Boston Area + A2BE Carbon Capture LLC + Rockies Area + ABC Solar, Inc. + Southern CA Area + ABS Alaskan Inc + United States + AC Solar Inc + Rockies Area + AEE Solar + Bay Area + AER NY Kinetics LLC + United States +

328

TYPE OF UPERATICIN  

Office of Legacy Management (LM)

Process i Theoretical Studies Sample & Analysis 0 Production 0 DisposalStorage a Facility Type 0 Manufacturing q University, a Research Organizatiori 0 Government Sponsored...

329

TYPES OF FIELD TESTING  

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

TYPES OF FIELD TESTING Convincing proof of energy savings and performance in a specific building and occupant context If direct proof of savings is desired, the only feasible...

330

Pennsylvania Regional Infrastructure Project  

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

CTC Team CTC Team 1 Pennsylvania Regional Infrastructure Project Presentation by: The Concurrent Technologies Corporation (CTC) Team January 6, 2004 The CTC Team 2 Presentation Outline Introduction of CTC Team CTC Background Technical Approach - CTC Team Member Presentations Conclusions The CTC Team 3 The CTC Project Team Concurrent Technologies Corporation Program Management and Coordination Hydrogen Delivery and Storage Material Development Hydrogen Sensors Concurrent Technologies Corporation Program Management and Coordination Hydrogen Delivery and Storage Material Development Hydrogen Sensors Air Products and Chemicals, Inc. Hydrogen Separation Hydrogen Sensors Air Products and Chemicals, Inc. Hydrogen Separation Hydrogen Sensors Resource Dynamics Corp. Tradeoff Analyses of Hydrogen

331

Regional Energy Deployment System (ReEDS) | Open Energy Information  

Open Energy Info (EERE)

Regional Energy Deployment System (ReEDS) Regional Energy Deployment System (ReEDS) (Redirected from Regional Energy Deployment System) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Regional Energy Deployment System Agency/Company /Organization: NREL Sector: Energy Topics: Pathways analysis, Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.nrel.gov/analysis/reeds/ OpenEI Keyword(s): EERE tool, Regional Energy Deployment System, ReEDS References: Regional Energy Deployment System (ReEDS) Web site[1] Regional Energy Deployment System (ReEDS) is a multiregional, multitimeperiod, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. The model, developed by NREL's Strategic Energy Analysis

332

Bayshore Regional Sewerage Authority (BRSA) | Open Energy Information  

Open Energy Info (EERE)

Bayshore Regional Sewerage Authority (BRSA) Bayshore Regional Sewerage Authority (BRSA) Jump to: navigation, search Name Bayshore Regional Sewerage Authority (BRSA) Facility Bayshore Regional Sewerage Authority (BRSA) Sector Wind energy Facility Type Community Wind Facility Status Proposed Owner Bayshore Regional Sewerage Authority (BRSA) Developer Bayshore Regional Sewerage Authority (BRSA) Energy Purchaser Bayshore Regional Sewerage Authority (BRSA) Location Union Beach NJ Coordinates 40.4497613°, -74.1764619° 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":40.4497613,"lon":-74.1764619,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

333

AEO2011: Electric Power Projections for EMM Region - Texas Regional Entity  

Open Energy Info (EERE)

Texas Regional Entity Texas Regional Entity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 73, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Texas Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Texas Regional Entity - Reference Case (xls, 259.4 KiB)

334

Sierra Nevada Region  

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

Sierra Nevada Region Sierra Nevada Region Power Revenue Requirement Forecast FY 2014 - FY 2017 Expenses Revenues Expenses Revenues Expenses Revenues Expenses Revenues Expenses Revenues O&M Expense: /1 Reclamation $41,172,013 $43,590,771 $45,797,325 $47,108,786 $49,408,075 Western $56,601,261 $58,299,299 $60,048,278 $61,849,726 $63,705,218 Total O&M Expense $97,773,274 $101,890,070 $105,845,603 $108,958,512 $113,113,292 Purchase Power Expense: Custom Product & Suppl. Power /2 $211,016,136 $211,016,136 $215,236,459 $215,236,459 $219,541,188 $219,541,188 $223,932,012 $223,932,012 $228,410,652 $228,410,652 HBA Costs /3 $2,310,408 $2,379,720 $2,451,112 $2,524,645 $2,600,385 Purchases for Project Use /4 $1,025,800 $0 $0 $0 $0 Washoe Cost for BR $471,500 $471,500 $471,500 $194,000 $194,000 Total Purchase Power

335

Discriminative sum types locate the source of type errors  

Science Conference Proceedings (OSTI)

We propose a type system for locating the source of type errors in an applied lambda calculus with ML-style polymorphism. The system is based on discriminative sum types---known from work on soft typing---with annotation subtyping and recursive types. ... Keywords: polymorphism, type errors, type inference

Matthias Neubauer; Peter Thiemann

2003-08-01T23:59:59.000Z

336

Modeling Study of a Tropical Squall-Type Convective Line  

Science Conference Proceedings (OSTI)

A multidimensional and time-dependent cloud scale model is used to investigate the dynamic and micro-physical processes associated with convective and stratiform regions within a tropical squall-type convective line. The evolution of the total ...

Wei-Kuo Tao; Joanne Simpson

1989-01-01T23:59:59.000Z

337

Error Determination of a Successive Correction Type Objective Analysis Scheme  

Science Conference Proceedings (OSTI)

The Purdue Regional Objective Analysis of the Mesoscale (PROAM) is a successive correction type scheme for the analysis of surface meteorological data. The scheme is subjected to a series of experiments to evaluate its performance under a variety ...

David R. Smith; Fred W. Leslie

1984-06-01T23:59:59.000Z

338

An Improved Type Reduction Algorithm for Type-2 Fuzzy Sets.  

E-Print Network (OSTI)

??Type reduction does the work of computing the centroid of a type-2 fuzzy set. The result is a type-1 fuzzy set from which a corresponding… (more)

Su, Yao-Lung

2011-01-01T23:59:59.000Z

339

Screw Type Ac Air Compressor Manufacturers, Screw Type Ac Air ...  

U.S. Energy Information Administration (EIA)

Screw Type Ac Air Compressor, Screw Type Ac Air Compressor Manufacturers & Suppliers Directory - Find here Screw Type Ac Air Compressor Traders, ...

340

The boardman regional flux experiment  

SciTech Connect

A field campaign was carried out near Boardman, Oregon, to study the effects of subgrid-scale variability of sensible- and latent-heat fluxes on surface boundary-layer properties. The experiment involved three U.S. Department of Energy laboratories, one National Oceanic and Atmospheric Administration laboratory, and several universities. The experiment was conducted in a region of severe contrasts in adjacent surface types that accentuated the response of the atmosphere to variable surface forcing. Large values of sensible-heat flux and low values of latent-heat flux characterized a sagebrush steppe area; significantly smaller sensible-heat fluxes and much larger latent-heat fluxes were associated with extensive tracts of irrigated farmland to the north, east, and west of the steppe. Data were obtained from an array of surface flux stations, remote-sensing devices, an instrumented aircraft, and soil and vegetation measurements. The data will be used to address the problem of extrapolating from a limited number of local measurements to area-averaged values of fluxes suitable for use in global climate models. 16 refs., 13 figs.

Doran, J.C.; Hubbe, J.M.; Kirkham, R.R.; Shaw, W.J.; Whiteman, C.D. (Pacific Northwest Lab., Richland, WA (United States)); Barnes, F.J.; Cooper, D.; Porch, W. (Los Alamos National Lab., NM (United States)); Coulter, R.L.; Cook, D.R.

1992-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

Appendix K: Regional Definitions  

Gasoline and Diesel Fuel Update (EIA)

K K Regional Definitions The six basic country groupings used in this report (Figure K1) are defined as follows: *OECD (18 percent of the 2008 world population): North America-United States, Canada, and Mexico; OECD Europe-Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Luxem- bourg, the Netherlands, Norway, Poland, Portugal, Slovakia, Spain, Sweden, Switzerland, Turkey, and the United Kingdom. OECD Asia-Japan, South Korea, Australia, and New Zealand. *Non-OECD (82 percent of the 2008 world popula- tion): - Non-OECD Europe and Eurasia (5 percent of the 2008 world population)-Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Macedonia, Malta, Moldova, Montenegro, Romania, Russia, Serbia, Slovenia,

342

Energy Information Administration (EIA) - Census Division List  

Annual Energy Outlook 2012 (EIA)

Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8...

343

Regional Carbon Sequestration Partnerships | Department of Energy  

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

Science & Innovation Carbon Capture and Storage Regional Carbon Sequestration Partnerships Regional Carbon Sequestration Partnerships DOE's Regional Carbon Sequestration...

344

Pityriasis rubra pilaris, type IV  

E-Print Network (OSTI)

Pityriasis rubra pilaris, type IV Jennifer Bragg MD,rubra pilaris (PRP), type IV (circumscribed juvenile).Type IV PRP develops in prepubertal children, is typically

Bragg, Jennifer; Witkiewicz, Agnieszka; Orlow, Seth J; Schaffer, Julie V

2005-01-01T23:59:59.000Z

345

Pityriasis rubra pilaris, type 1  

E-Print Network (OSTI)

Pityriasis rubra pilaris, type 1 Alexandria V Booth MD andhemorrhages [ 1 ]. Five types of pityriasis rubra pilarisand prognosis. The five types include the classic adult and

Booth, Alexandria V; Ma, Linglei

2005-01-01T23:59:59.000Z

346

Types of Thermocouples  

Science Conference Proceedings (OSTI)

Table 1   Properties of standard thermocouples...Table 1 Properties of standard thermocouples Type Thermoelements Base composition Melting point, °C Resisivity nΩ · m Recommended

347

Manufacturer: Panasonic Battery Type: ...  

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

Battery Specifi cations Manufacturer: Panasonic Battery Type: Nickel Metal Hydride Rated Capacity: 5.5 Ahr Rated Power: Not Available Nominal Pack Voltage: 158.4 VDC Nominal Cell...

348

Regional air quality in the Four Corners study region  

DOE Green Energy (OSTI)

The body of information presented in this paper is directed to policy makers, regulators, and energy planners concerned with the effect of energy development and alternative regulatory policies on regional air quality in the Four Corners Study Region. This study was one of 5 regional studies conducted for the National Commission on Air Quality (NCAQ). Potential regional air quality impacts were evaluated out to the year 1995 for alternative energy scenarios under current and alternative regulatory policies. Highlights of the results from the regional air quality analysis are discussed in this paper.

Nochumson, D.H.

1982-01-01T23:59:59.000Z

349

Type I Tanks  

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

I Tanks I Tanks * 12 Type I tanks were built between 1951-53 * 750,000 gallon capacity; 75 feet in diameter by 24 ½ feet high * Partial secondary containment with leak detection * Contain approximately 10 percent of the waste volume * 7 Type I tanks have leaked waste into the tank annulus; the amount of waste stored in these tanks is kept below the known leak sites that have appeared over the decades of

350

Stations in Special Wind Regions  

Science Conference Proceedings (OSTI)

Stations in Special Wind Regions. ... station_matrix_912850.xlsx (Excel file). [ SED Home | Extreme Winds Home | Previous | Next ] ...

2013-03-11T23:59:59.000Z

351

Regional business cycles in Italy  

Science Conference Proceedings (OSTI)

There is clear evidence for differences in the structure of the Italian regional business cycle in the period 1951-2004: the relationship with the national business cycle is closer in the North than in the South. The interaction between regional cycles ... Keywords: Regional business cycles, Spectral analysis, Stylized facts

Camilla Mastromarco; Ulrich Woitek

2007-10-01T23:59:59.000Z

352

Northwestern Indiana Regional Planning Commission (Indiana) | Department of  

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

Northwestern Indiana Regional Planning Commission (Indiana) Northwestern Indiana Regional Planning Commission (Indiana) Northwestern Indiana Regional Planning Commission (Indiana) < Back Eligibility State/Provincial Govt Industrial Construction Local Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Indiana Program Type Siting and Permitting Provider Northwestern Indiana Regional Planning Commission NIRPC is a regional council of local governments serving the citizens of Lake, Porter, and LaPorte counties in Northwest Indiana. NIRPC provides a forum that enables the citizens of Northwest Indiana to address regional issues relating to transportation, the environment and community, and economic development. NIRPC, as a recipient of federal funds, is subject to

353

Regional Energy Deployment System (ReEDS) | Open Energy Information  

Open Energy Info (EERE)

Regional Energy Deployment System (ReEDS) Regional Energy Deployment System (ReEDS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Regional Energy Deployment System Agency/Company /Organization: NREL Sector: Energy Topics: Pathways analysis, Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.nrel.gov/analysis/reeds/ OpenEI Keyword(s): EERE tool, Regional Energy Deployment System, ReEDS References: Regional Energy Deployment System (ReEDS) Web site[1] Regional Energy Deployment System (ReEDS) is a multiregional, multitimeperiod, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. The model, developed by NREL's Strategic Energy Analysis Center (SEAC), is designed to conduct analysis of the critical energy

354

Regional Workshop on Opportunities and Priorities for Low Carbon Green  

Open Energy Info (EERE)

Regional Workshop on Opportunities and Priorities for Low Carbon Green Regional Workshop on Opportunities and Priorities for Low Carbon Green Growth in Asia Jump to: navigation, search Tool Summary Name: Regional Workshop on Opportunities and Priorities for Low Carbon Green Growth in Asia Agency/Company /Organization: Asian Development Bank Institute Topics: Policies/deployment programs, Pathways analysis Resource Type: Workshop, Training materials Website: www.adbi.org/cd-roms/2010/08/27/4054.low.carbon.green.growth.asia/ UN Region: Central Asia, Eastern Asia, South-Eastern Asia References: ADB Regional Workshop[1] Contents "Concepts of Low Carbon Green Growth: Challenges and Current Status in the Asia Pacific Region Inside the Low Carbon Green Growth: Innovations in Green Energy Supply Demand Side Energy Efficiency Solutions: A Low Hanging

355

The Impacts of Utility Rates and Building Type on the Economics...  

Open Energy Info (EERE)

Photovoltaic Systems Jump to: navigation, search Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems1 Authors:Sean...

356

Regional Partnerships | Department of Energy  

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

Regional Regional Partnerships Regional Partnerships DOE's Regional Carbon Sequestration Partnerships Program DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also called carbon sequestration) in different regions and geologic formations within the Nation. Collectively, the seven RCSPs represent regions encompassing: 97 percent of coal-fired CO2 emissions; 97 percent of industrial CO2 emissions; 96 percent of the total land mass; and essentially all the geologic sequestration sites in the U.S. potentially available for carbon storage. We launched this initiative in 2003. It's being completed in phases (I, II, and III) and forms the centerpiece of national efforts to develop the

357

Coulee Region Bio Fuels LLC | Open Energy Information  

Open Energy Info (EERE)

Region Bio Fuels LLC Region Bio Fuels LLC Jump to: navigation, search Name Coulee Region Bio-Fuels LLC Place Ettrick, Wisconsin Zip 54627 Sector Biofuels Product LLC created by PrairieFire BioFuels Coop, INOV8, and Arcade Pumping to distribute waste vegetable oil vehicle fuel in Wisconsin. Coordinates 44.16944°, -91.268549° 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":44.16944,"lon":-91.268549,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

358

TYPE OF OPERATION  

Office of Legacy Management (LM)

3!NEEi_S1 3!NEEi_S1 past: -~~~-~~~~~-~~~---------- current: ------------_------------- Owner contacted q yes g no; if ye=, date contacted TYPE OF OPERATION --~~__--~-~~~---- 5 Research & Development 5 Facility Type 0 Production scale testing c1 Pilot Scale 0 Bench Scale Process z Theareti cal Studi es Sample Sr Analysis 0 Production D Disposal/Storage TYPE OF CONTRACT ---------------- 0 Manufacturing 0 University 0 Research Clrganization B Government Cpanaored Faci 1 i ty 0 Other ~~---~~---_--~~-----_ a Prime 13 Subcontract& D PurcSase Order 0 Other information (i.e., cost + fixed fee, unit price, time & material, +z) ----_----------------------- Cantract/Purchaae Order #-d-z=&-/) -2_7~-------------Is_------------ PERIOD: CONTRACTING I%~(?) - 1465

359

The Napier Type System  

E-Print Network (OSTI)

Persistent programming is concerned with the construction of large and long lived systems of data. In designing and building persistent object systems, we are attempting to regularise the activities that are performed on data by programming languages, operating systems, database management systems and file systems. We have identified the following areas of research which we are investigating in the context of persistent systems. They are: controlling complexity, protection of data, orthogonal persistence, controlled system evolution and concurrent computation. In this paper, we describe the data modelling facilities of the Napier type system. We also demonstrate the flexible and incremental nature of the type checking mechanism that is required for persistent programming. The type system is central to the nature of the Napier language and we will demonstrate how it has been designed to solve problems in the five areas identified above.

R. Morrison; A.L. Brown; R. Carrick; R.C.H. Connor; A. Dearle; M.P. Atkinson

1989-01-01T23:59:59.000Z

360

CDKN-CARICOM-A Regional Implementation Plan for CARICOM's Regional  

Open Energy Info (EERE)

CARICOM-A Regional Implementation Plan for CARICOM's Regional CARICOM-A Regional Implementation Plan for CARICOM's Regional Climate Change Resilience Framework Jump to: navigation, search Name CDKN-CARICOM-A Regional Implementation Plan for CARICOM's Regional Climate Change Resilience Framework Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner Caribbean Community Climate Change Centre (CCCCC), Caribbean Community Heads of State (CARICOM) Sector Climate, Energy, Land Topics Background analysis, Market analysis, Pathways analysis Website http://cdkn.org/project/planni Program Start 2010 Country Antigua and Barbuda, The Bahamas, Barbados, Belize, Dominica, Grenada, Guyana, Haiti, Jamaica, Montserrat, Saint Lucia, St. Kitts and Nevis, St. Vincent and the Grenadines, Suriname, Trinidad and Tobago

Note: This page contains sample records for the topic "type census region" 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

Appendix B Sierra Nevada Region Customer Groups and Economic Regions  

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

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

362

Crop, forestry, and manure residue inventory, continental United States. Volume 3. West North-Central: including, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota  

SciTech Connect

This document is one of eight similar data packages that make up a national residue inventory summarizing annual agricultural wastes generated in the nine census regions within the continental United States. The inventory is based upon data available through mid-1975 which are shown in Section II by region, state, and country, as well as by waste type, amount, and use.

1976-06-01T23:59:59.000Z

363

Types of quantum information  

E-Print Network (OSTI)

Quantum, in contrast to classical, information theory, allows for different incompatible types (or species) of information which cannot be combined with each other. Distinguishing these incompatible types is useful in understanding the role of the two classical bits in teleportation (or one bit in one-bit teleportation), for discussing decoherence in information-theoretic terms, and for giving a proper definition, in quantum terms, of ``classical information.'' Various examples (some updating earlier work) are given of theorems which relate different incompatible kinds of information, and thus have no counterparts in classical information theory.

Robert B. Griffiths

2007-07-25T23:59:59.000Z

364

Passive incentive requirements: a regional assessment  

DOE Green Energy (OSTI)

The nation's goal of 20% solar contribution by the turn of the century will be achieved, in part, by the construction of residences heated by virtue of their passive solar designs. These designs are not economically competitive against all conventional fuels in all locations. Some degree of government incentive will be required to assure a competitive position for these designs. A methodology is presented which is used to assess the magnitude of the government incentive required to assure feasibility. The methodology is used to provide a regional assessment for the Pacific Northwest under alternative home ownership periods and conventional fuel types.

Ben-David, S.; Kirschner, C.; Noll, S.A.; Roach, F.

1980-01-01T23:59:59.000Z

365

Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.2,1.1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",12605,1209,3303,6386,1706,2.9

366

Table A41. Total Inputs of Energy for Heat, Power, and Electricity  

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

A41. Total Inputs of Energy for Heat, Power, and Electricity" A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",10743,1150,2819,5309,1464,2.6,,,"/WIR{D}~"

367

Conditional belief types  

E-Print Network (OSTI)

We study type spaces where a player’s type at a state is a conditional probability on the space. We axiomatize these type spaces using conditional belief operators, and examine three additional axioms of increasing strength. First, introspection, which requires the agent to be unconditionally certain of her beliefs. Second, echo, according to which the unconditional beliefs implied by the condition must be held given the condition. Third, determination, which says that the conditional beliefs are the unconditional beliefs that are conditionally certain. The echo axiom implies that conditioning on an event is the same as conditioning on the event being certain, which formalizes the standard informal interpretation of conditioning in probability theory. The echo axiom also implies that the conditional probability given an event is a prior of the unconditional probability. The game-theoretic application of our model, which we treat in the context of an example, sheds light on a number of basic issues in the analysis of extensive form games. Type spaces are closely related to the sphere models of counterfactual conditionals and to models of hypothetical knowledge, and we discuss these relationships in detail.

Alfredo Di; Tillio Joseph; Y. Halpern; Dov Samet

2013-01-01T23:59:59.000Z

368

Spray type wet scrubber  

SciTech Connect

A spray type wet scrubber includes a plurality of spray nozzles installed in parallel banks across the path of gas stream within the scrubber body, and partition walls held upright in grating fashion to divide the path of gas stream into a plurality of passages, each of which accommodates one of the spray nozzles.

Atsukawa, M.; Tatani, A.

1978-01-10T23:59:59.000Z

369

Types of Multinet System  

Science Conference Proceedings (OSTI)

A limiting factor in research on combining classifiers is a lack of awareness of the full range of available modular structures. One reason for this is that there is as yet little agreement on a means of describing and classifying types of multiple classifier ...

Amanda J. C. Sharkey

2002-06-01T23:59:59.000Z

370

Cuyahoga Regional Landfill Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Landfill Biomass Facility Landfill Biomass Facility Jump to: navigation, search Name Cuyahoga Regional Landfill Biomass Facility Facility Cuyahoga Regional Landfill Sector Biomass Facility Type Landfill Gas Location Cuyahoga County, Ohio Coordinates 41.7048247°, -81.7787021° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.7048247,"lon":-81.7787021,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

371

Regional Waste Systems Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Biomass Facility Biomass Facility Jump to: navigation, search Name Regional Waste Systems Biomass Facility Facility Regional Waste Systems Sector Biomass Facility Type Municipal Solid Waste Location Cumberland County, Maine Coordinates 43.8132979°, -70.3870587° 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":43.8132979,"lon":-70.3870587,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

372

Carbon Monoxide in type II supernovae  

E-Print Network (OSTI)

Infrared spectra of two type II supernovae 6 months after explosion are presented. The spectra exhibit a strong similarity to the observations of SN 1987A and other type II SNe at comparable epochs. The continuum can be fitted with a cool black body and the hydrogen lines have emissivities that are approximately those of a Case B recombination spectrum. The data extend far enough into the thermal region to detect emission by the first overtone of carbon monoxide. The molecular emission is modeled and compared with that in the spectra of SN 1987A. It is found that the flux in the CO first overtone is comparable to that found in SN 1987A. We argue that Carbon Monoxide forms in the ejecta of all type II SNe during the first year after explosion.

J. Spyromilio; B. Leibundgut; R. Gilmozzi

2001-07-16T23:59:59.000Z

373

Category:Geothermal Regions | Open Energy Information  

Open Energy Info (EERE)

Geothermalpower.jpg Geothermalpower.jpg Looking for the Geothermal Regions page? For detailed information on Geothermal Regions, click here. Category:Geothermal Regions Add.png Add a new Geothermal Region Pages in category "Geothermal Regions" The following 22 pages are in this category, out of 22 total. A Alaska Geothermal Region C Cascades Geothermal Region Central Nevada Seismic Zone Geothermal Region G Gulf of California Rift Zone Geothermal Region H Hawaii Geothermal Region Holocene Magmatic Geothermal Region I Idaho Batholith Geothermal Region N Northern Basin and Range Geothermal Region N cont. Northern Rockies Geothermal Region Northwest Basin and Range Geothermal Region O Outside a Geothermal Region R Rio Grande Rift Geothermal Region S San Andreas Geothermal Region San Andreas Split Geothermal Region

374

Conservation Regional Conservation SavingsRegional Conservation Savings  

E-Print Network (OSTI)

1 Northwest Power and Conservation Council Regional Conservation SavingsRegional Conservation the Plan''s Targets?s Targets? March 14, 2008 slide 2 Northwest Power and Conservation Council 55thth Plan Conservation ResourcePlan Conservation Resource Acquisition TargetsAcquisition Targets 20052005 ­­ 2009 = 700 a

375

Regional GHG Emissions Stat s Greenhouse Gas and the Regional  

E-Print Network (OSTI)

6/5/2013 1 Regional GHG Emissions Stat s Greenhouse Gas and the Regional Power System Symposium.6% Coal 42% Hydro, 68.0% 10 #12;6/5/2013 6 Overall GHG Emissions: PNW vs. US Total US Greenhouse Gas Emissions by Economic Sector (2011) Total PNW* Greenhouse Gas Emissions by Economic Sector (2010

376

Regional GHG Emissions O tlook Greenhouse Gas and the Regional  

E-Print Network (OSTI)

6/5/2013 1 Regional GHG Emissions O tlook Greenhouse Gas and the Regional Power System Symposium Natural Gas Prices 6. Potential Federal CO2 regulatory cost policy Two basic CO2 Cost 10 20 30 40 Million Generation Coal 19 % 15 % 13 % Natural Gas 10 % 10 % 14 % Wind & Other Renewables 8 % 12 % 13 % Emission

377

Southeast Regional Carbon Sequestration Partnership  

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

Carbon Sequestration Partnership Presented to: Regional Carbon Sequestration Partnerships Annual Review Meeting Development Phase Field Tests Pittsburgh, PA October 5, 2010...

378

Regional Competitions - EERE Commercialization Office  

The six regional winners received $100,000 in DOE prize money and a chance to compete for a National Grand Prize at a competition held in Washington, ...

379

" Level: National Data and Regional...  

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

0 Capability to Switch Coal to Alternative Energy Sources, 2006; " " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" "...

380

" Level: National Data and Regional...  

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

6 Capability to Switch Electricity to Alternative Energy Sources, 2002; " " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;"...

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


381

" Level: National Data and Regional...  

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

0 Capability to Switch Coal to Alternative Energy Sources, 2002; " " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" "...

382

Regional Opportunities in New Mexico  

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

Mexico Regional Opportunities in New Mexico The Technology Transfer Division facilitates a number of programs designed to stimulate high-tech start-ups and other company creation,...

383

Argonne TDC: Regional Economic Development  

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

Regional Economic Development Argonne participates in economic development activities with State of Illinois agencies and programs, business and industrial organizations, and...

384

Scripting the type inference process  

Science Conference Proceedings (OSTI)

To improve the quality of type error messages in functional programming languages,we propose four techniques which influence the behaviour of constraint-based type inference processes. These techniques take the form of externally supplied type inference ... Keywords: constraints, directives, domain-specific programming, type errors, type inference

Bastiaan Heeren; Jurriaan Hage; S. Doaitse Swierstra

2003-08-01T23:59:59.000Z

385

Regional Systems Development for Geothermal Energy Resources Pacific Region  

Open Energy Info (EERE)

Systems Development for Geothermal Energy Resources Pacific Region Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii). Task 3: water resources evaluation. Topical report Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Regional Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii). Task 3: water resources evaluation. Topical report Details Activities (1) Areas (1) Regions (0) Abstract: The fundamental objective of the water resources analysis was to assess the availability of surface and ground water for potential use as power plant make-up water in the major geothermal areas of California. The analysis was concentrated on identifying the major sources of surface and ground water, potential limitations on the usage of this water, and the

386

Gainesville Regional Utilities - Business Energy Efficiency Rebate Program  

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

Gainesville Regional Utilities - Business Energy Efficiency Rebate Gainesville Regional Utilities - Business Energy Efficiency Rebate Program Gainesville Regional Utilities - Business Energy Efficiency Rebate Program < Back Eligibility Nonprofit Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Other Sealing Your Home Ventilation Heating Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Duct Leak Repair: up to $375 Energy Star Home Performance: $775 - $1,400 Custom: $100,000 or 50% of project cost Program Info State Florida Program Type Utility Rebate Program Rebate Amount Central Air Conditioner: $550 Natural Gas Central Heat (Rental Properties): $300 Natural Gas Water Heater (Rental Properties): $250 - $350

387

Lake Region Electric Cooperative - Residential Energy Efficiency Rebate  

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

Lake Region Electric Cooperative - Residential Energy Efficiency Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Maximum Rebate Limit one rebate per appliance Geothermal Heat Pumps: 20 tons Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Refrigerator: $75 with recycling of old unit Freezer: $75 with recycling of old unit Ductless Air-Source Heat Pump: $300 Air-Source Heat Pump: $330 - $630 Central AC: $50 - $200 Geothermal Heat Pump: $100 - $400/ton CFLs: Free Recycling Provider Lake Region Electric Cooperative Lake Region Electric Cooperative (LREC) offers a variety of rebates for

388

Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Program  

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

Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Program Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Program < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Maximum Rebate $5,000 Program Info Start Date 10/1/2010 State Florida Program Type Utility Rebate Program Rebate Amount Solar window of 80% or more: $1.00/watt Provider Gainesville Regional Utilities '''''NOTE: Application targets for fiscal year 2013 have been met for the GRU Solar PV Rebate Program. The next round of applications are scheduled to open on October 1, 2013 pending approval of the GRU budget by the Gainesville City Commission.''''' Gainesville Regional Utilities (GRU) offers its customers a rebate to install photovoltaic (PV) systems. Systems with solar windows of 80% or

389

SAR Imagery Segmentation by Statistical Region Growing and Hierarchical Merging  

SciTech Connect

This paper presents an approach to accomplish synthetic aperture radar (SAR) image segmentation, which are corrupted by speckle noise. Some ordinary segmentation techniques may require speckle filtering previously. Our approach performs radar image segmentation using the original noisy pixels as input data, eliminating preprocessing steps, an advantage over most of the current methods. The algorithm comprises a statistical region growing procedure combined with hierarchical region merging to extract regions of interest from SAR images. The region growing step over-segments the input image to enable region aggregation by employing a combination of the Kolmogorov-Smirnov (KS) test with a hierarchical stepwise optimization (HSWO) algorithm for the process coordination. We have tested and assessed the proposed technique on artificially speckled image and real SAR data containing different types of targets.

Ushizima, Daniela Mayumi; Carvalho, E.A.; Medeiros, F.N.S.; Martins, C.I.O.; Marques, R.C.P.; Oliveira, I.N.S.

2010-05-22T23:59:59.000Z

390

Coronal Mass Ejections from Sunspot and non-Sunspot Regions  

E-Print Network (OSTI)

Coronal mass ejections (CMEs) originate from closed magnetic field regions on the Sun, which are active regions and quiescent filament regions. The energetic populations such as halo CMEs, CMEs associated with magnetic clouds, geoeffective CMEs, CMEs associated with solar energetic particles and interplanetary type II radio bursts, and shock-driving CMEs have been found to originate from sunspot regions. The CME and flare occurrence rates are found to be correlated with the sunspot number, but the correlations are significantly weaker during the maximum phase compared to the rise and declining phases. We suggest that the weaker correlation results from high-latitude CMEs from the polar crown filament regions that are not related to sunspots.

Gopalswamy, N; Yashiro, S; Makela, P

2009-01-01T23:59:59.000Z

391

Gainesville Regional Utilities- Low-Interest Energy Efficiency Loan Program  

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

Gainesville Regional Utilities- Low-Interest Energy Efficiency Loan Gainesville Regional Utilities- Low-Interest Energy Efficiency Loan Program Gainesville Regional Utilities- Low-Interest Energy Efficiency Loan Program < Back Eligibility Residential Savings Category Home Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Design & Remodeling Windows, Doors, & Skylights Commercial Weatherization Ventilation Insulation Water Heating Solar Buying & Making Electricity Maximum Rebate $10,000 per customer within a 5 year period Program Info State Florida Program Type Utility Loan Program Rebate Amount up to $10,000 Provider Gainesville Regional Utilities Gainesville Regional Utilities (GRU) offers a six percent annual interest loan for pre-approved items including the ENERGY STAR refrigerators, high

392

Low-Level Radioactive Waste Disposal Regional Facility Act (Pennsylvania) |  

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

Low-Level Radioactive Waste Disposal Regional Facility Act Low-Level Radioactive Waste Disposal Regional Facility Act (Pennsylvania) Low-Level Radioactive Waste Disposal Regional Facility Act (Pennsylvania) < Back Eligibility Utility Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Program Info State Pennsylvania Program Type Environmental Regulations Fees This act establishes a low-level radioactive waste disposal regional facility siting fund that requires nuclear power reactor constructors and operators to pay to the Department of Environmental Resources funds to be utilized for disposal facilities. This act ensures that nuclear facilities and the Department comply with the Low-Level Radioactive Disposal Act. The regional facility siting fund is used for reimbursement of expenses

393

TYPE OF OPERATION  

Office of Legacy Management (LM)

~~__--------_____ ~~__--------_____ q Research & Development q Production scale testing Cl Pilat Scale 0 Bench Scale Process 0 Theoretical Studies a Sample & Analysis c] Production 0 Disposal/Storage TYPE OF CONTRACT ~~__-------_--__ 0 Prime 0 Subcontractor 0 Purchase Order a d//F- a Faci 1 i ty Type a tlanuf acturi ng 0 University q Research Organization 0 Government Sponsored Facility a other --------------__----- Other information (i.e., cost + fixed fee, unit price, time & material, qtr) ------- -1------------------_L______ Contract/Purchase Order # CONTRACTING PE?IOD- 42 --------------L---- --------- ----------------_---______ OWNERSHIP: AEC/MED AEC/tlED OWNED ----- LE_A_sEE GOUT GO' JT CONTRACTOR E!!!!E!z LEASED - ----_ ---_OW_E!L LANDS BUILDINGS

394

TYPE OF OPERATION  

Office of Legacy Management (LM)

Owner c:ontacted Owner c:ontacted TYPE OF OPERATION ----------------_ jJ Research & Development 0 Production scale testing Cl Pilot Scale 0 Bench Scale Process i Theoretical Studies Sample & Analysis B Production 0 Disposal/Storage $r Prime 0 Subcontract& 0 Purchase Order 0 Facility Type 0 Manufacturing 0 University 0 Research Organization a Other information (i.e., cost + fixed fern, unit price,' time & mate ~r~~-r~~tf~-_~_-_~-~f-~~J~ d ial, etc)_kl/Jlfits ---- -7---- -- Contract/Purchase Order # w?@7-e?-b $ 6, i;,_~~~~~----------------- - ----- C_O!!IF!KXYE-PEELEg: -lTlL-/L?~J --------------------------- OWNERSHXP: AEWHEC AEC/HED' GOVT GB' JT SiXiRACTOR CONiRkCiGR WEE LEAs_EE a!!!%? IEEE!? --------_ ..---LEASED ._ OWNED LANDS BUILDINGS EQUIPMENT

395

TYPE OF OPERATION  

Office of Legacy Management (LM)

OWNEF? (S) OWNEF? (S) Current: ____ LcrcJksLG! _________ Owner contacted n yes WI-IO; if yes, date contacted-- TYPE OF OPERATION ----_-------_---- m Research & Development Cl Pilot Scale Cl Disposal/Storaqe TYPE OF CDNTRACT ---__------__--- q Prime 0 Subcnntractor Cl Purchase Order 0 Other infcrmation (i.e., cnst + fixed fee, unit price, time 84 materi+, e.tc) v-7Y07-&G-W ---------------------------- Contract/Pur&aae Order # 0 -?+7- FJc-(CL --___--------~----_______________ CONTRACTING PEXIOD: fl& ,&I;'"'-?;': (&e-?)_-- ' ------------------ OWNERSHIP: AEC/MED GEC/MED SOVT GOVT CONTRACTOR CCNTRACTOR OWNE3 LEASE3 OWNE3 LEASED OWNE3 ----- ------ ----- ------ -__------- LE.352 LANDS u u q BUILDINGS EQUIPMENT 0 FINAL PRODUCT WASTE G RESIDUE a

396

Solar-type Variables  

E-Print Network (OSTI)

The rich acoustic oscillation spectrum in solar-type variables make these stars particularly interesting for studying fluid-dynamical aspects of the stellar interior. I present a summary of the properties of solar-like oscillations, how they are excited and damped and discuss some of the recent progress in using asteroseismic diagnostic techniques for analysing low-degree acoustic modes. Also the effects of stellar-cycle variations in low-mass main-sequence stars are addressed.

Houdek, Gunter

2009-01-01T23:59:59.000Z

397

Practical pluggable types for Java  

E-Print Network (OSTI)

This paper introduces the Checker Framework, which supports adding pluggable type systems to the Java language in a backward-compatible way. A type system designer defines type qualifiers and their semantics, and a compiler ...

Papi, Matthew M

2008-01-01T23:59:59.000Z

398

Practical pluggable types for Java.  

E-Print Network (OSTI)

??This paper introduces the Checker Framework, which supports adding pluggable type systems to the Java language in a backward-compatible way. A type system designer defines… (more)

Papi, Matthew M

2008-01-01T23:59:59.000Z

399

Type inference for datalog with complex type hierarchies  

Science Conference Proceedings (OSTI)

Type inference for Datalog can be understood as the problem of mapping programs to a sublanguage for which containment is decidable. To wit, given a program in Datalog, a schema describing the types of extensional relations, and a user-supplied set of ... Keywords: datalog, type inference, type system

Max Schäfer; Oege de Moor

2010-01-01T23:59:59.000Z

400

Plenum type crystal growth chamber  

DOE Patents (OSTI)

Crystals are grown in a tank which is divided by a baffle into a crystal growth region above the baffle and a plenum region below the baffle. A turbine blade or stirring wheel is positioned in a turbine tube which extends through the baffle to generate a flow of solution from the crystal growing region to the plenum region. The solution is pressurized as it flows into the plenum region. The pressurized solution flows back to the crystal growing region through return flow tubes extending through the baffle. Growing crystals are positioned near the ends of the return flow tubes to receive a direct flow of solution.

Montgomery, K.E.

1990-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

TYPE OF OPERATION  

Office of Legacy Management (LM)

_---------_-- _---------_-- Research & Development 0 Production scale testing Cl Pilat Scale 0 Bench Scale Process 0 Theoretical Studies Cl Sample SC Analysis !J Production 0 Dis.posal/Storage 0 Prime ." 0 Subcontract& 0 Purchase Order 0 Facility Type 0 Manufacturing 0 University 0 Research Org&ization 0 Government Sponsored Facility Cl Other ---------_---__-____- Other information (i.e., cost + fixed fee, unit price, time & material, gtr) Coni+act/Purchase Order # ---------------------_--_________ C!2kEE~_CIL_N_G-EE~LE~: /5J--L-,r4 53 -------------------------------------- OWNERSHIP: AEC/MED AEC/MED GOVT GOVT CONTRACTOR CONTRACTOR !w!!E? ___--- " EWNED LEASED L_EesEE OWNED LEASED ---------_ --_------ LANDS BUILDINGS ' EQUIPMENT

402

ECOWAS Regional Centre for Renewable Energy and Energy Efficiency (ECREEE)  

Open Energy Info (EERE)

ECOWAS Regional Centre for Renewable Energy and Energy Efficiency (ECREEE) ECOWAS Regional Centre for Renewable Energy and Energy Efficiency (ECREEE) (Redirected from Regional Centre for Renewable Energy and Energy Efficiency) Jump to: navigation, search Logo: Regional Centre for Renewable Energy and Energy Efficiency Name Regional Centre for Renewable Energy and Energy Efficiency Address Achada Santo Antonio Electra Building, 2nd floor Praia, Cape Verde Place Cape Verde Year founded 2009 Phone number +238 2604630 Website http://ecreee.vs120081.hl-user Coordinates 14.930464°, -23.512669° 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":14.930464,"lon":-23.512669,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

403

Solar Atlas (PACA Region - France) | Open Energy Information  

Open Energy Info (EERE)

Solar Atlas (PACA Region - France) Solar Atlas (PACA Region - France) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Atlas (PACA Region - France) Agency/Company /Organization: MINES ParisTech Sector: Energy Focus Area: Solar Topics: Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Website Website: www.webservice-energy.com/ Country: France Web Application Link: www.webservice-energy.org/viewer/heron/applications/atlas-paca/ Cost: Free OpenEI Keyword(s): International UN Region: Western Europe Coordinates: 43.615149095322°, 7.0526915788651° 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":43.615149095322,"lon":7.0526915788651,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

404

Forecast Technical Document Forecast Types  

E-Print Network (OSTI)

Forecast Technical Document Forecast Types A document describing how different forecast types are implemented in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Forecast Types Background Different `types' of forecast are possible for a specified area

405

Property:TransportToolkit/Regions | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:TransportToolkit/Regions Jump to: navigation, search Property Name TransportToolkit/Regions Property Type String Description Transport Toolkit property to help filter pages Valid values are Africa & Middle East, Asia, Australia & North America, Europe, Latin America & Caribbean and Global Used in Form/Template Tool Allows Values Africa & Middle East;Asia;Australia & North America;Europe;Latin America & Caribbean;Global Pages using the property "TransportToolkit/Regions" Showing 6 pages using this property. A Africa's Transport Infrastructure Mainstreaming Maintenance and Management + Africa & Middle East + Assessment of the type of cycling infrastructure required to attract new cyclists + Australia & North America +

406

Type inference for generic Haskell  

E-Print Network (OSTI)

Abstract. The more expressive a type system, the more type information has to be provided in a program. Having to provide a type is sometimes a pain, but lacking expressivity is often even worse. There is a continuous struggle between expressivity and (type-)verbosity. However, even very expressive type systems allow type inference for parts of a program. Generic Haskell is an extension of Haskell that supports defining generic functions. Generic Haskell assumes that the type of a generic function is explicitly specified. This is often no problem, but sometimes it is rather painful to have to specify a type – in particular for generic functions with many dependencies – and sometimes the specified type can be generalized. In this paper, we identify three type inference problems specific to generic functions, and present (partial) solutions to each of them. 1

Alexey Rodriguez; Johan Jeuring; Andres Löh

2005-01-01T23:59:59.000Z

407

Holocene Magmatic Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Holocene Magmatic Geothermal Region (Redirected from Holocene Magmatic) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Holocene Magmatic Geothermal Region Details...

408

Lake Region Electric Cooperative - Residential Energy Efficiency...  

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

Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

409

Urban and Regional Air Quality  

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

equipment equipment Urban and Regional Air Quality Research in this area is concerned with regional air quality issues such as: Controlling nitrogen oxides (NOx) and volatile organic compounds, to manage tropospheric ozone pollution. Hazardous air pollutants: using science to base standards on rigorously studied risks. Air quality and climate: how does climate influence air quality at a regional or local level? Current modeling practices often do not capture variations in pollutants such as ozone-they represent a limited sample of the diverse meteorology and human behavior that affect air pollution. Improved modeling of regional air quality will help understand variability, reveal patterns of behavior, and pollutant transport issues. Controlled experiments in lab and field can help validate improved models.

410

interconnect region | OpenEI  

Open Energy Info (EERE)

interconnect region interconnect region Dataset Summary Description Datasets are for the US electricity grid system interconnect regions (ASCC, FRCC, HICC, MRO, NPCC, RFC, SERC, SPP, TRE, WECC) for 2008. The data is provided in life cycle inventory (LCI) forms (both xls and xml). A module report and a detailed spreadsheet are also included. Source US Life Cycle Inventory Database Date Released May 01st, 2011 (3 years ago) Date Updated Unknown Keywords ASCC FRCC HICC interconnect region LCI life cycle inventory MRO NPCC RFC SERC SPP TRE unit process US utilities WECC Data application/zip icon interconnect_lci_datasets_2008.zip (zip, 6.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL)

411

Third Northeast Regional Operational Workshop  

Science Conference Proceedings (OSTI)

The Third Northeast Regional Operational Workshop, focusing on hydrometeorology in the northeastern United States, was held 6-7 November 2001 in Albany, New York. Sessions covered cold season events, warm season events, modeling,and operational ...

Eugene P. Auciello

2002-07-01T23:59:59.000Z

412

Performance of NMC's Regional Models  

Science Conference Proceedings (OSTI)

This paper details the performance characteristics of the two regional dynamical models used at the National Meteorological Center to forecast for North America. Strengths and weaknesses of these models—the limited-area fine-mesh (LFM) model and ...

Norman W. Junker; James E. Hoke; Richard H. Grumm

1989-09-01T23:59:59.000Z

413

Regional Groundwater Evapotranspiration in Illinois  

Science Conference Proceedings (OSTI)

The role of shallow unconfined aquifers in supplying water for evapotranspiration (i.e., groundwater evaporation) is investigated in this paper. Recent results from regional land surface modeling have indicated that in shallow water table areas, ...

Pat J-F. Yeh; J. S. Famiglietti

2009-04-01T23:59:59.000Z

414

State and Regional Biomass Partnerships  

DOE Green Energy (OSTI)

The Northeast Regional Biomass Program successfully employed a three pronged approach to build the regional capacity, networks, and reliable information needed to advance biomass and bioenergy technologies and markets. The approach included support for state-based, multi-agency biomass working groups; direct technical assistance to states and private developers; and extensive networking and partnership-building activities to share objective information and best practices.

Handley, Rick; Stubbs, Anne D.

2008-12-29T23:59:59.000Z

415

Regional  

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

3 3 AÇORIANO ORIENTAL SEGUNDA-FEIRA, 5 DE MARÇO DE 2012 PUB Da Graciosa para a Índia graças à estação atmosférica Carlos está atualmente a trabalhar na estação atmosférica móvel instalada na Índia, a dois mil metros de altitude Estar no lugar certo na hora cer- ta pode mudar radicalmente a vida de uma pessoa. Foi isso que aconteceu ao graciosense Carlos Sousa, de 41 anos, que começou por ser trabalhador daconstrução civil antes de emigrar para os Es- tados Unidos da América. No regresso à sua ilha, foi ain- Começou na construção e foi emigrante nos EUA. Hoje trabalha com equipamento de ponta no estudo do clima RUI JORGE CABRAL rcabral@acorianooriental.pt da gerente de um restaurante e, graças aum encontro improvável, é hoje técnico das Estações de Me- dição da Radiação Atmosférica que os americanos têm espalha- das pelo mundo para estudar as alterações

416

Regions  

E-Print Network (OSTI)

1 What is the impact of bioenergy deployment on land use and associated emissions? We have examined the interplay between bioenergy and indirect landuse emissions in the context of climate stabilization in a recent

Presented Allison Thomson; Marshall Wise; Kate Calvin; Allison Thomson; Leon Clarke; Ben Bond; Ron S; Steve Smith; Tony Janetos; Jae Edmonds; Global Regions

2009-01-01T23:59:59.000Z

417

TYPE OF OPERATION  

Office of Legacy Management (LM)

______ ______ 0 Research & Development 9 Faciiity Type 0 Production scale testing Cl Pilot Scale 0 Bench Scale Process 0 Theoretical Studies Cl Sample 84 Analysis Production Di aposal /Storage g ;E:"V',;=:;;';"" IJ Research Organization 0 Government Sponeored Facility q Other --------------------- 0 Prime q ,@ Subcontract& Other information (i.e., cost 0 Purchase Order + fixed fee, unit price, time ?8 material, etc) -------mm----+------------- Contract/Purchase Order # CONTRACTING PERIODr c&L&.& rqs-z i i -----~_--~~~_----_ -------------------------------------- OWNERSHIP8 CIEC/tlED CIEC/MED GOUT WNED LE&xU _o!!EED LANDS BUILDINGS EQUIPMENT iii E : ORE OR RAW MATL IJ : E FINCIL PRODUCT [7 WCISTE b RESIDUE q GOUT

418

TYPE OF OPERATION  

Office of Legacy Management (LM)

----------------- ----------------- 0 Research & Development .a Production scale testing 0 Pilat Scale 0 Bench Scale Process 0 Thearetical Studies Cl Sample 84 Analysis 0 Production *i DiaposalKitorage Cl Facility Tybe q Government Sponsored Facility Other R.L- 6:e 14 1 1 ---------- --------- I I I TYPE OF CONTRACT ~-__-----------_ fl Prime *I 0 Subcantractbr Other infuriation (i.e., L.t + fixed fee, kit price, 0 Purchase Order time k mat*iik, gtc) /I -~---------'-t-----------~- ----------II---------------- Contract/Purchase Order # I EP!EBEII!G-PEEI9E: ---------------------------------~---- , OWNERSHiP: : I I j ,' / 1 AEC/tlED AEC/MED GOUT GOUT E!!NE_D LEASEI! !z%!NE_D CONTTACTOR CONTf?qCTOR LEASE?? ---w!En- ---LEL3SEI! i I I I LANDS BUILDINGS EIXIIPMENT

419

Structural Comparison of n-type and p-type LaAlO3/SrTiO3 Interfaces  

Science Conference Proceedings (OSTI)

Using a surface x-ray diffraction technique, we investigated the atomic structure of two types of interfaces between LaAlO{sub 3} and SrTiO{sub 3}, that is, p-type (SrO/AlO{sub 2}) and n-type (TiO{sub 2}/LaO) interfaces. Our results demonstrate that the SrTiO{sub 3} in the sample with the n-type interface has a large polarized region, while that with the p-type interface has a limited polarized region. In addition, the atomic intermixing was observed to extend deeper into STO substrate at the n-type interface than at the p-type. These differences result in different degrees of band bending, which likely contributes to the striking difference in electrical conductivity between the two types of interfaces.

Bell, Christopher

2011-08-19T23:59:59.000Z

420

" Million Housing Units, Final"  

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

7 Air Conditioning in U.S. Homes, by Census Region, 2009" 7 Air Conditioning in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Air Conditioning" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Air Conditioning Equipment" "Use Air Conditioning Equipment",94,16.5,22.4,40.5,14.6 "Have Air Conditioning Equipment But" "Do Not Use It",4.9,1.4,1.2,0.9,1.4 "Do Not Have Air Conditioning Equipment",14.7,2.8,2.3,0.7,8.9 "Type of Air Conditioning Equipment " "Used (more than one may apply)" "Use Central Air Conditioning Equipment",69.7,7.2,17.1,34.6,10.8

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


421

" Million Housing Units, Final"  

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

7 Water Heating in U.S. Homes, by Census Region, 2009" 7 Water Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Water Heating" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Number of Storage Tank Water Heaters" 0,2.9,1.3,0.4,0.7,0.5 1,108.1,19.3,25,40.2,23.6 "2 or More",2.7,0.2,0.5,1.2,0.7 "Number of Tankless Water Heaters2" 0,110.4,19.4,25.6,41.2,24.2 1,3.1,1.4,0.3,0.8,0.6 "2 or More",0.1,"Q","N","Q","Q" "Main Water Heater" "Main Water Heater Type" "Storage Tank",110.6,19.4,25.5,41.3,24.3

422

A type system for CHR  

E-Print Network (OSTI)

We propose a generic type system for the Constraint Handling Rules (CHR), a rewriting rule language for implementing constraint solvers. CHR being a high-level extension of a host language, such as Prolog or Java, this type system is parameterized by the type system of the host language. We show the consistency of the type system for CHR w.r.t. its operational semantics. We also study the case when the host language is a constraint logic programming language, typed with the prescriptive type system we developed in our previous work. In particular, we show the consistency of the resulting type system w.r.t. the extended execution model CLP+CHR. This system is implemented through an extension of our type checker TCLP for constraint logic languages. We report on experimental results about the type-checking of 12 CHR solvers and programs, including TCLP itself.

Emmanuel Coquery; François Fages

2005-01-01T23:59:59.000Z

423

Seismic Regionalization In Northeast Russia  

E-Print Network (OSTI)

In an effort to characterize seismicity in support of nuclear explosion monitoring for the continental regions of northeast Russia, we have been analyzing information obtained from regional seismic network operators. Our goal is to merge catalog, bulletin, waveform, and other ground truth data from several regional networks into a comprehensive data set that we will use for various seismic research projects. To date we have compiled a bulletin from published and unpublished event data of about 200,000 events and over 150,000 arrival times. We have also determined that the Russian regional network catalogs are contaminated with mining-explosion events. Hence, one of our primary efforts is to identify mining events when possible and move them into a separate bulletin from the natural earthquakes. We have extended our preliminary analysis of explosion contamination of Russian seismicity catalogs using temporal analysis into the Irkutsk and Chita districts and the Buryat Republic. Based on analysis of epicenters and origin times reported in Material po Seismichnost' Sibiri for 1970 -- 1993, it is likely that considerable explosion contamination occurs in the gold (Bodaibo, northern Irkutsk Region, and in the Chita region), mica (Vitim, northern Irkutsk Region), and other mining areas (Bushulei, Nerchinsk, and Petrovsk in the Buryat and Chita areas). Explosion contamination is also observed in northernmost Mongolia in the mining and industrial district near Darkhan. Explosions associated with the construction of the Baikal-Amur Mainline Railroad are likely, as was observed in the Amur district; however, the amount of natural seismicity dominates the activity and makes it impossible to resolve the railroad separately. In conjunction with the Magadan Seismic Network operators,...

Kevin Mackey Kazuya; Kazuya Fujita; Lee K. Steck; Hans E. Hartse

2002-01-01T23:59:59.000Z

424

Regional Transmission Projects: Finding Solutions  

Science Conference Proceedings (OSTI)

The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association of State Utility Consumer Advocates National Grid Northeast Utilities PA Office of Consumer Advocates Pacific Gas & Electric Corporation Pennsylvania Public Utility Commission PJM Interconnection The Electricity Consumers Resource Council U.S. Department of Energy US Department of the Interior Van Ness Feldman Western Interstate Energy Board Wind on the Wires Wisconsin Public Service Commission Xcel Energy

The Keystone Center

2005-06-15T23:59:59.000Z

425

Pluggable type-checking for custom type qualifiers in Java  

E-Print Network (OSTI)

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

Papi, Matthew M.

2007-09-17T23:59:59.000Z

426

Regional and Global Data in Mercury, December 2000  

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

Regional and Global Data in Mercury Regional and Global Data in Mercury Regional and global biogeochemical dynamics data can now be located and acquired through a metadata search system at the ORNL DAAC. Climate, hydroclimatology, soil, and vegetation data held by data centers around the world are available through a Web-based system called "Mercury." Mercury allows users to search metadata files to identify data sets of interest, and it directs the users to the data. The data sets indexed in Mercury were chosen by the ORNL DAAC's User Working Group as important to the global change research community for understanding the function of terrestrial ecosystems and for examining patterns across temporal and spatial scales. The following types of regional and global data are currently indexed in

427

Wind Powering America: Opportunities from Chile and the Region | Open  

Open Energy Info (EERE)

Wind Powering America: Opportunities from Chile and the Region Wind Powering America: Opportunities from Chile and the Region Jump to: navigation, search Tool Summary Name: Wind Powering America: Opportunities from Chile and the Region Agency/Company /Organization: National Renewable Energy Laboratory, Centro de Energías Renovables (CER) Sector: Energy Focus Area: Wind Topics: Implementation, Policies/deployment programs Resource Type: Webinar References: WPA[1] Logo: Wind Powering America: Opportunities from Chile and the Region This webinar provides an overview of the Department of Energy's Wind Powering America program, key program areas, and success stories that might be of interest to policy makers and stakeholders interested in adapting this program for Chile and other countries in Latin America. Watch Click here to view this webinar

428

Asia-Pacific Regional Climate Change Adaptation Assessment | Open Energy  

Open Energy Info (EERE)

Asia-Pacific Regional Climate Change Adaptation Assessment Asia-Pacific Regional Climate Change Adaptation Assessment Jump to: navigation, search Tool Summary Name: Asia-Pacific Regional Climate Change Adaptation Assessment Agency/Company /Organization: U.S. Agency for International Development Sector: Energy Topics: Adaptation, Co-benefits assessment, Policies/deployment programs Resource Type: Publications Website: www.usaid.gov/rdma/documents/RDMA_Asia-Pacific_Climate_Change_Adaptati Country: China, Bangladesh, India, Indonesia, Laos, Marshall Islands, Federated States of Micronesia, Philippines, Thailand, Vietnam, Cambodia, Maldives, Mongolia, Nepal, Papua New Guinea, Timor-Leste, Solomon Islands, Sri Lanka, Vanuatu UN Region: Central Asia, Eastern Asia, South-Eastern Asia References: Asia-Pacific Adaptation Assessment[1]

429

Gainesville Regional Utilities - Solar Feed-In Tariff | Department of  

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

Gainesville Regional Utilities - Solar Feed-In Tariff Gainesville Regional Utilities - Solar Feed-In Tariff Gainesville Regional Utilities - Solar Feed-In Tariff < Back Eligibility Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Solar Buying & Making Electricity Program Info Start Date 03/01/2009 State Florida Program Type Performance-Based Incentive Rebate Amount 2013 Contracts: Rooftop- or pavement-mounted systems Ground-mounted systems Rooftop- or pavement-mounted systems >10kW to 300kW: $0.18/kWh Ground-mounted systems >10kW to 25kW: $0.18/kWh Ground-mounted systems >25kW to 1,000kW: $0.15/kWh Provider Gainesville Regional Utilities NOTE: This program will re-open to new applicants from January 4, 2013

430

Hierarchical probabilistic regionalization of volcanism for Sengan region, Japan.  

SciTech Connect

A 1 km square regular grid system created on the Universal Transverse Mercator zone 54 projected coordinate system is used to work with volcanism related data for Sengan region. The following geologic variables were determined as the most important for identifying volcanism: geothermal gradient, groundwater temperature, heat discharge, groundwater pH value, presence of volcanic rocks and presence of hydrothermal alteration. Data available for each of these important geologic variables were used to perform directional variogram modeling and kriging to estimate geologic variable vectors at each of the 23949 centers of the chosen 1 km cell grid system. Cluster analysis was performed on the 23949 complete variable vectors to classify each center of 1 km cell into one of five different statistically homogeneous groups with respect to potential volcanism spanning from lowest possible volcanism to highest possible volcanism with increasing group number. A discriminant analysis incorporating Bayes theorem was performed to construct maps showing the probability of group membership for each of the volcanism groups. The said maps showed good comparisons with the recorded locations of volcanism within the Sengan region. No volcanic data were found to exist in the group 1 region. The high probability areas within group 1 have the chance of being the no volcanism region. Entropy of classification is calculated to assess the uncertainty of the allocation process of each 1 km cell center location based on the calculated probabilities. The recorded volcanism data are also plotted on the entropy map to examine the uncertainty level of the estimations at the locations where volcanism exists. The volcanic data cell locations that are in the high volcanism regions (groups 4 and 5) showed relatively low mapping estimation uncertainty. On the other hand, the volcanic data cell locations that are in the low volcanism region (group 2) showed relatively high mapping estimation uncertainty. The volcanic data cell locations that are in the medium volcanism region (group 3) showed relatively moderate mapping estimation uncertainty. Areas of high uncertainty provide locations where additional site characterization resources can be spent most effectively. The new data collected can be added to the existing database to perform future regionalized mapping and reduce the uncertainty level of the existing estimations.

Balasingam, Pirahas (University of Arizona); Park, Jinyong (University of Arizona); McKenna, Sean Andrew; Kulatilake, Pinnaduwa H. S. W. (University of Arizona)

2005-03-01T23:59:59.000Z

431

" Million U.S. Housing Units"  

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

"Table HC10.3 Household Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Household Characteristics",,"No...

432

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

Annual Energy Outlook 2012 (EIA)

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

433

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

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

Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005 Space Heating Usage Indicators U.S. Census Region Northeast Midwest South West Energy Information...

434

ac_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

435

Table CE1-10c. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Table CE1-10c. Total Energy Consumption in U.S. Households by Midwest Census Region, 2001 RSE Column Factor: Total U.S. Midwest Census Region RSE Row

436

Table 4. LPG Consumption and Expeditures in U.S. Households by End ...  

U.S. Energy Information Administration (EIA)

Table 4. LPG Consumption and Expeditures in U.S. Households by End Uses and Census Region, 2001 RSE Column Factor: Total U.S. Census Region RSE Row

437

Table CE3-10e. Electric Air-Conditioning Energy Expenditures in U ...  

U.S. Energy Information Administration (EIA)

Table CE3-10e. Electric Air-Conditioning Energy Expenditures in U.S. Households by Midwest Census Region, 2001 RSE Column Factor: Total U.S. Midwest Census Region

438

A Type Driven Theory of Predication with Complex Types  

Science Conference Proceedings (OSTI)

This paper investigates several models of the complex type • which is needed to analyze copredication. Previous accounts are shown to be inadequate and a new account both of • and copredication is proposed. Keywords: categorial interpretation,, coercion,, complex types,, copredication,, dot(•)types, lambda calculus,

Nicholas Asher

2008-09-01T23:59:59.000Z

439

Error Exponent Region for Gaussian  

E-Print Network (OSTI)

Introduction We introduce the notion of error exponent region (EER) for a multi-user channel. This region specifies the set of errorexponent vectors, which are simultaneously achievable by all users in the multi-user channel [1]. In this work, we derive an inner bound (achievable region) and an outer bound for the error exponent region of a Gaussian multiple access channel (GMAC). II. Formulation and Main Result An error exponent region for a multi-user channel depends on the channel operating (rate) point. For a two-user channel, we use the notation EER(R1 , R2 ) to denote the EER when the channel is operated at rate pair (R1 , R2 ). Consider a GMAC Y = X1 +X2 + Z, (1) where X1 and X2 are the channel inputs for user 1 and user 2 with E(X 1 ) = SNR1 , E(X 2 ) = SNR2 , and Z is white Gaussian noise with unit variance. Denote E(R,SNR) the maximum of random coding exponent and expurgated exponent of a single-user Gaussian channel. Our main result follow. Theorem 1: For a two-user GM

Multiple Access Channels; Lihua Weng; Achilleas Anastasopoulos; Eep Pradhan

2004-01-01T23:59:59.000Z

440

Tornado type wind turbines  

DOE Patents (OSTI)

A tornado type wind turbine has a vertically disposed wind collecting tower with spaced apart inner and outer walls and a central bore. The upper end of the tower is open while the lower end of the structure is in communication with a wind intake chamber. An opening in the wind chamber is positioned over a turbine which is in driving communication with an electrical generator. An opening between the inner and outer walls at the lower end of the tower permits radially flowing air to enter the space between the inner and outer walls while a vertically disposed opening in the wind collecting tower permits tangentially flowing air to enter the central bore. A porous portion of the inner wall permits the radially flowing air to interact with the tangentially flowing air so as to create an intensified vortex flow which exits out of the top opening of the tower so as to create a low pressure core and thus draw air through the opening of the wind intake chamber so as to drive the turbine.

Hsu, Cheng-Ting (Ames, IA)

1984-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "type census region" 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

mountain region | OpenEI  

Open Energy Info (EERE)

mountain region mountain region Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 8, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption mountain region Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Mountain- Reference Case (xls, 297.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

442

Northeast Regional Biomass Energy Program  

DOE Green Energy (OSTI)

The Northeast Regional Biomass Program (NRBP) is entering its ninth year of operation. The management and the objectives have virtually remained unchanged and are stated as follows. The program conducted by NRBP has three basic features: (1) a state grant component that provides funds (with a 50 percent matching requirement) to each of the states in the region to strengthen and integrate the work of state agencies involved in biomass energy; (2) a series of technical reports and studies in areas that have been identified as being of critical importance to the development of biomass energy in the region; and (3) a continuous long range planning component with heavy private sector involvement that helps to identify activities necessary to spur greater development and use of biomass energy in the Northeast.

O'Connell, R.A.

1992-04-01T23:59:59.000Z

443

Northeast Regional Biomass Energy Program  

DOE Green Energy (OSTI)

The Northeast Regional Biomass Program (NRBP) is entering its ninth year of operation. The management and the objectives have virtually remained unchanged and are stated as follows. The program conducted by NRBP has three basic features: (1) a state grant component that provides funds (with a 50 percent matching requirement) to each of the states in the region to strengthen and integrate the work of state agencies involved in biomass energy; (2) a series of technical reports and studies in areas that have been identified as being of critical importance to the development of biomass energy in the region; and (3) a continuous long range planning component with heavy private sector involvement that helps to identify activities necessary to spur greater development and use of biomass energy in the Northeast.

O'Connell, R.A.

1992-02-01T23:59:59.000Z

444

Generic and maximal Jordan types  

Science Conference Proceedings (OSTI)

Mar 7, 2007 ... •(G,k) we exhibit a “generic Jordan type” of M. In the very special ... specializes to the non-trivial observation that the Jordan type obtained by.

445

Bioenergy Sustainability at the Regional Scale  

Science Conference Proceedings (OSTI)

To meet national goals for biofuels production, there are going to be large increases in acreage planted to dedicated biofuels crops. These acreages may be in perennial grasses, annual crops, short rotation woody crops, or other types of vegetation and may involve use of existing cropland, marginal lands, abandoned lands or conversion of forest land. The establishment of bioenergy crops will affect ecological processes and their interactions and thus have an influence on ecosystem services provided by the lands on which these crops are grown. The regional-scale effects of bioenergy choices on ecosystem services need special attention because they often have been neglected yet can affect the ecological, social and economic aspects of sustainability. A regional-scale perspective provides the opportunity to make more informed choices about crop selection and management, particularly with regard to water quality and quantity issues, and also about other aspects of ecological, social, and economic sustainability. We give special attention to cellulosic feedstocks because of the opportunities they provide. Adopting an adaptive management approach for biofuels feedstock production planning will be possible to a certain extent if there is adequate monitoring data on the effects of changes in land use. Effects on water resources are used as an example and existing understanding of water resource effects are analyzed in detail. Current results indicate that there may be water quality improvements coupled with some decreases in available water for downstream uses.

Kline, Keith L [ORNL; Dale, Virginia H [ORNL; Mulholland, Patrick J [ORNL; Lowrance, Richard [USDA-ARS Southeast Watershed Research Laboratory, Tifton, Georgia; Robertson, G. Phillip [W.K. Kellogg Biological Station and Great Lakes Bioenergy Research

2010-11-01T23:59:59.000Z

446

Southeast Regional Carbon Sequestration Partnership  

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

Carbon Sequestration Partnership Presented to: Regional Carbon Sequestration Partnerships Annual Review Meeting Development Phase Field Tests Pittsburgh, PA October 5, 2010 Presented by: Gerald R. Hill, Ph.D. Senior Technical Advisor Southern States Energy Board Acknowledgements  This material is based upon work supported by the U.S. Department of Energy National Energy Technology Laboratory.  Cost share and research support provided by SECARB/SSEB Carbon Management Partners Through innovations in energy and environmental policies, programs and technologies, the Southern States Energy Board enhances economic development and the quality of life in the South. - SSEB Mission Statement SSEB Carbon Management Program  Established 2003  Characterizing Southeast Region

447

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

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

Rank Sites by Building Type and Location for Greenhouse Gas Rank Sites by Building Type and Location for Greenhouse Gas Mitigation Rank Sites by Building Type and Location for Greenhouse Gas Mitigation October 7, 2013 - 10:57am Addthis YOU ARE HERE: Step 2 After establishing building locations for greenhouse gas (GHG) mitigation analysis, the next step is to rank sites using the additional factors of eGRID region and climate region. In the Table 1 example below, because Site C and Site D represent the same proportion of Program B's office space (22% each), evaluating eGRID region and climate region will help to prioritize which sites may have a greater potential for GHG reductions. Table 1. Example: Program B Office Location Evaluation Site Name Percent of total Program SF by building type (%) eGRID Climate Region eGRID-Climate Weight1 Location Rank

448

NREL/OAS-Regional EERE Training Workshop | Open Energy Information  

Open Energy Info (EERE)

NREL/OAS-Regional EERE Training Workshop NREL/OAS-Regional EERE Training Workshop < NREL Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NREL/OAS-Regional EERE Training Workshop Agency/Company /Organization: National Renewable Energy Laboratory, Organization of American States (OAS) Sector: Energy Focus Area: Non-renewable Energy, Buildings, Buildings - Commercial, Renewable Energy Resource Type: Presentation, Training materials, Online calculator Website: www.nrel.gov/international/ Country: Saint Lucia Caribbean Coordinates: 35.1209375°, -78.9893361° 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":35.1209375,"lon":-78.9893361,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

449

Table 6a. U.S. Commercial Buildings Energy Intensity Using Weather ...  

U.S. Energy Information Administration (EIA)

U.S. Commercial Buildings Energy Intensity Using Weather-Adjusted Site Energy by Census Region and Principal Building Activity.

450

Housing Characteristics 1993 - Detailed Tables  

U.S. Energy Information Administration (EIA)

Household Characteristics by Census Region and Climate Zone, Million U.S. Households, 1993 Source: Energy Information Administration, ...

451

U.S. Energy Information Administration (EIA) - Pub  

U.S. Energy Information Administration (EIA)

The National Energy Modeling System Component modules Annual Energy Outlook 2013 cases. Appendix F: Regional Maps: United States Census Divisions

452

Regional and Local Influences on Freezing Drizzle, Freezing Rain,and Ice Pellet Events  

Science Conference Proceedings (OSTI)

Regional and local influences on frequency and type of freezing precipitation (freezing drizzle, freezing rain, and ice pellets) are investigated via in-depth climatologies of six continental United States (CONUS) sounding sites. For each site, ...

Ben C. Bernstein

2000-10-01T23:59:59.000Z

453

The Synoptic Decomposition of Cool-Season Rainfall in the Southeastern Australian Cropping Region  

Science Conference Proceedings (OSTI)

Daily rainfall during the April–October growing season in a major cropping region of southeastern Australia has been related to particular types of synoptic weather systems over a period of 33 yr. The analysis reveals that cutoff lows were ...

Michael J. Pook; Peter C. McIntosh; Gary A. Meyers

2006-08-01T23:59:59.000Z

454

Evolutionary Analysis of 11beta-Hydroxysteroid Dehydrogenase-Type 1, -Type 2, -Type 3 and 17beta-Hydroxysteroid Dehydrogenase-Type 2 in Fish  

E-Print Network (OSTI)

metabolized by 11 -hydroxysteroid dehydrogenase-type 1and type 2 andhydroxysteroid dehydrogenase-type 1 and type 2. A. 11 -HSD1

Baker, Michael E

2004-01-01T23:59:59.000Z

455

Regional Clean Air Incentives Market  

E-Print Network (OSTI)

purposes in order to provide comprehensive current information about RECLAIM based on publicly available reports and analyses. This document does not constitute official EPA policy or opinion on the RECLAIM program. The Agency has previously performed an extensive evaluation of RECLAIM, led by EPA’s Region IX (serving the Pacific Southwest). That evaluation was published in November 2002, and is available at

Which Includes Los Angeles; Orange Counties

2006-01-01T23:59:59.000Z

456

REGIONAL WATER SUPPLY PLANNING AND  

E-Print Network (OSTI)

accepted standards, which is an important planning aspect for water supply agencies. Yeh et al. (2000CHAPTER 3 REGIONAL WATER SUPPLY PLANNING AND CAPACITY EXPANSION MODELS Messele Z. Ejeta California Department of Water Resources Sacramento, California Larry W. Mays Department of Civil and Environmental

Mays, Larry W.

457

Geographic Regions of the Himalayas  

E-Print Network (OSTI)

, for grazing, returning to the Vale during the winter months when they subsist on feed. Pastoral activity supplies the raw wool which provides the basis for the important woolen industry. Culturally the Vale is a region where the Afghan-Iranian and Indian...

Karan, Pradyumna P.

1966-07-21T23:59:59.000Z

458

"Table A49. Average Prices of Purchased Electricity, Steam, and Natural Gas"  

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

9. Average Prices of Purchased Electricity, Steam, and Natural Gas" 9. Average Prices of Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam",," Natural Gas" ," (Million kWh)",," (Billion Btu)",," (1000 cu ft)" ,"-","-----------","-","-----------","-","-","-","RSE" " ","Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

459

Mr. W. Librirzi Regional Superfund Office EPA Region II  

Office of Legacy Management (LM)

* * , AP)J2 p" H-l2 &,q qp@- Department of Energy Washington, D .C. 20545 DEC. 20 1984 Mr. W. Librirzi Regional Superfund Office EPA Region II 4th Floor 26 Federal Plaza New York, New York 10278 Dear Mr. Librizzi: The Department of Energy (DOE) has completed two radiological surveys at the former Simonds Saw & Steel Company site (presently owned by the Guterl Steel Corporation), Lockport, New York (Enclosures 1 and 2). These surveys indicated that the levels of residual radioactive material and associated radiation levels at the site are in excess of those used by DOE to determine if a site requires remedial action. However, the data did not indicate that, under the current use of the site, there was any hazard to the workers or the general public. On February 21, 1980, the State of New

460

AEO2011: Electric Power Projections for EMM Region - Texas Regional...  

Open Energy Info (EERE)

end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
2011-08-08T14:57:52Z 2011-08-16T23:43:11Z http:www.eia.gov...

Note: This page contains sample records for the topic "type census region" 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

The Effect of Cloud Type on Earth's Energy Balance: Results for Selected Regions  

Science Conference Proceedings (OSTI)

International Satellite Cloud Climatology Project (ISCCP) Cl cloud information is compared with planetary albedo, outgoing longwave radiation (OLR), and net radiation measured at the top of the atmosphere by the Earth Radiation Budget Experiment (...

Maureen E. Ockert-Bell; Dennis L. Hartmann

1992-10-01T23:59:59.000Z

462

Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System  

Science Conference Proceedings (OSTI)

Systematic improvements in algorithmic design of regional ocean circulation models have led to significant enhancement in simulation ability across a wide range of space/time scales and marine system types. As an example, we briefly review the Regional ... Keywords: Biogeochemical cycles, Incompressible Navier-Stokes equations, Regional ocean prediction, Sea ice modeling, Split-explicit time stepping

D. B. Haidvogel; H. Arango; W. P. Budgell; B. D. Cornuelle; E. Curchitser; E. Di Lorenzo; K. Fennel; W. R. Geyer; A. J. Hermann; L. Lanerolle; J. Levin; J. C. McWilliams; A. J. Miller; A. M. Moore; T. M. Powell; A. F. Shchepetkin; C. R. Sherwood; R. P. Signell; J. C. Warner; J. Wilkin

2008-03-01T23:59:59.000Z

463

TYPE OF OPERATION R Research & Development T& Facility Type  

Office of Legacy Management (LM)

-- R Research & Development T& Facility Type 0 Production scale testing a Pilat scale Y-. Bench Scale Process i Theoretical Studies Sample & Analysis 0 Productian 0 Disposal...

464

From Typing Constraints to Typed Constraint Systems in CHR  

E-Print Network (OSTI)

Typing constraint programs requires the exibility of subtyping to properly express coercions between constraint domains. The typing of constraint logic programs as done in the TCLP system for example involves solving complex subtyping constraints. In this paper we present an implementation in CHR of Pottier's algorithm for checking the satisfiability of subtype inequalities. We show that when combined with a CHR implementation of an untyped constraint system, a simple merge of both CHR programs gives rise to a new typed constraint system which enjoys nice semantical properties. This is illustrated with examples of typed unification and TCLP programs.

Emmanuel Coquery; François Fages; Projet Contraintes Inria-rocquencourt

2001-01-01T23:59:59.000Z

465

IDENTIFYING FRACTURES AND FLUID TYPES USING FLUID INCLUSION STRATIGRAPHY |  

Open Energy Info (EERE)

IDENTIFYING FRACTURES AND FLUID TYPES USING FLUID INCLUSION STRATIGRAPHY IDENTIFYING FRACTURES AND FLUID TYPES USING FLUID INCLUSION STRATIGRAPHY Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Proceedings: IDENTIFYING FRACTURES AND FLUID TYPES USING FLUID INCLUSION STRATIGRAPHY Details Activities (1) Areas (1) Regions (0) Abstract: Fluid Inclusion Stratigraphy (FIS) is a method currently being developed for use in geothermal systems to identify fractures and fluid types. This paper is the third in a series of papers on the development of FIS. Fluid inclusion gas chemistry is analyzed and plotted on well log diagrams. The working hypothesis is that select gaseous species and species ratios indicate areas of groundwater and reservoir fluid flow and reservoir seals. Previously we showed that FIS analyses identify fluid types and

466

Regional Carbon Sequestration Partnerships Initiative Review...  

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

Regional Carbon Sequestration Partnerships Initiative Review Meeting October 3-4, 2006 Table of Contents Disclaimer Papers and Presentations Updates on Regional Characterization...

467

Southeast Regional Carbon Sequestration Partnership--Validation...  

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

Southeast Regional Carbon Sequestration Partnership-Validation Phase Background The U.S. Department of Energy (DOE) has selected seven partnerships, through its Regional Carbon...

468

Clean Cities Coalition Regions | Department of Energy  

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

Regions Clean Cities Coalition Regions Nearly 100 Clean Cities coalitions work to reduce petroleum use in communities across the country. Led by Clean Cities coordinators,...

469

Southeast Regional Clean Energy Policy Analysis | Department...  

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

Southeast Regional Clean Energy Policy Analysis Southeast Regional Clean Energy Policy Analysis This report covers the states that largely fall into the Southeastern Reliability...

470

EIA - Natural Gas Pipeline System - Midwest Region  

U.S. Energy Information Administration (EIA)

Natural Gas Pipelines in the Midwest Region Overview | Domestic Gas | Canadian Imports | Regional Pipeline Companies & Links. Overview Twenty-six interstate and at ...

471

Transition Zone Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Transition Zone Geothermal Region (Redirected from Transition Zone) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Transition Zone Geothermal Region edit Details...

472

Transition Zone Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Transition Zone Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Transition Zone Geothermal Region edit Details Areas (5) Power Plants (0) Projects...

473

Figure F2. Electricity market module regions  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration Annual Energy Outlook 2013 227 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information ...

474

Regional Energy Activity | Department of Energy  

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

in every region of the world. Important issue areas include regional and country-specific energy policies and practices, technology developments, market conditions, and trade and...

475

Idaho Batholith Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Idaho Batholith Geothermal Region (Redirected from Idaho Batholith) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Idaho Batholith Geothermal Region Details Areas...

476

Idaho Batholith Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Idaho Batholith Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Idaho Batholith Geothermal Region Details Areas (24) Power Plants (0) Projects (1)...

477

Southeast Regional Carbon Sequestration Partnership  

SciTech Connect

The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

Kenneth J. Nemeth

2006-08-30T23:59:59.000Z

478

Developing a Regional Recovery Framework  

Science Conference Proceedings (OSTI)

Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

2011-09-01T23:59:59.000Z

479

Window Types | Department of Energy  

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

Window Types Window Types Window Types June 18, 2012 - 8:06am Addthis A wood-frame window with insulated window glazing. | Photo courtesy of ©iStockphoto/chandlerphoto A wood-frame window with insulated window glazing. | Photo courtesy of ©iStockphoto/chandlerphoto What does this mean for me? If you have old windows, they are likely losing large amounts of energy through the frames and glazing. By upgrading old windows, you can reduce heating and cooling costs in your home. Windows come in a number of different frame and glazing types. By combining an energy-efficient frame choice with a glazing type tailored to your climate and application, you can customize each of your home's windows. Types of Window Frames Improving the thermal resistance of the frame can contribute to a window's

480

Window Types | Department of Energy  

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

Window Types Window Types Window Types June 18, 2012 - 8:06am Addthis A wood-frame window with insulated window glazing. | Photo courtesy of ©iStockphoto/chandlerphoto A wood-frame window with insulated window glazing. | Photo courtesy of ©iStockphoto/chandlerphoto What does this mean for me? If you have old windows, they are likely losing large amounts of energy through the frames and glazing. By upgrading old windows, you can reduce heating and cooling costs in your home. Windows come in a number of different frame and glazing types. By combining an energy-efficient frame choice with a glazing type tailored to your climate and application, you can customize each of your home's windows. Types of Window Frames Improving the thermal resistance of the frame can contribute to a window's

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


481

EIA - Natural Gas Pipeline Network - Regional Definitions  

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

Definitions Map Definitions Map About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Regional Definitions The regions defined in the above map are based upon the 10 Federal Regions of the U.S. Bureau of Labor Statistics. The State groupings are as follows: Northeast Region - Federal Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. Federal Region 2: New Jersey, and New York. Federal Region 3:Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia. Southeast Region - Federal Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee. Midwest Region - Federal Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, and

482

Outside a Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Outside a Geothermal Region Outside a Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Outside a Geothermal Region Details Areas (1) Power Plants (1) Projects (0) Techniques (0) This is a category for geothermal areas added that do not fall within an existing geothermal region. As a number of these accumulate on OpenEI, new regions can be created and areas moved into those regions accordingly. Geothermal Regions Map[1] References ↑ "Geothermal Regions Map" Geothermal Region Data State(s) Wyoming, Colorado Area USGS Resource Estimate for this Region Identified Mean Potential Undiscovered Mean Potential Planned Capacity Planned Capacity Plants Included in Planned Estimate Plants with Unknown Planned Capacity Geothermal Areas within the Outside a Geothermal Region

483

Type error slicing in implicitly typed higher-order languages  

Science Conference Proceedings (OSTI)

Previous methods have generally identified the location of a type error as a particular program point or the program subtree rooted at that point. We present a new approach that identifies the location of a type error as a set of program points (a slice) ...

Christian Haack; J. B. Wells

2003-04-01T23:59:59.000Z

484

Infrastructure Failure - Types and Frequency  

U.S. Energy Information Administration (EIA)

Infrastructure Failure - Types and Frequency. Small events that have no impact on supplies Events that require supply/demand responses Events that result in a ...

485

National Type Evaluation Technical Committee  

Science Conference Proceedings (OSTI)

... checked on an in-motion railway track scale ... Type of Test: (no change) Rail Scale Testing ... or digital), hydraulic, vibrating wire, piezoelectric, or other. ...

2011-10-26T23:59:59.000Z

486

Types of Lighting in Commercial Buildings - Lighting Types  

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

Lighting Types Lighting Types The following are the most widely used types of lighting equipment used in commercial buildings. Characteristics such as energy efficiency, light quality, and lifetime vary by lamp type. Standard Fluorescent A fluorescent lamp consists of a sealed gas-filled tube. The gas in the tube consists of a mixture of low pressure mercury vapor and an inert gas such as argon. The inner surface of the tube has a coating of phosphor powder. When an electrical current is applied to electrodes in the tube, the mercury vapor emits ultraviolet radiation which then causes the phosphor coating to emit visible light (the process is termed fluorescence). A ballast is required to regulate and control the current and voltage. Two types of ballasts are used, magnetic and electronic. Electronic ballasts

487

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability ASEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Virginia-Carolina Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 88, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Carolina EIA Electric power projections Virginia Data application/vnd.ms-excel icon ASEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Virginia-Carolina- Reference Case (xls, 259.3 KiB)

488

Regional Economic Models, Inc. (REMI) Model | Open Energy Information  

Open Energy Info (EERE)

Regional Economic Models, Inc. (REMI) Model Regional Economic Models, Inc. (REMI) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: REMI Agency/Company /Organization: Regional Economic Models Inc. Sector: Energy Focus Area: Transportation Phase: Determine Baseline, Develop Goals Topics: Baseline projection, GHG inventory, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.remi.com/ Cost: Paid References: http://www.remi.com/index.php?page=overview&hl=en_US Related Tools Job and Economic Development Impact Models (JEDI) The Integrated Environmental Strategies Handbook: A Resource Guide for Air Quality Planning

489

Magnetotellurics At Northern Basin & Range Region (Pritchett, 2004) | Open  

Open Energy Info (EERE)

Magnetotellurics At Northern Basin & Range Region Magnetotellurics At Northern Basin & Range Region (Pritchett, 2004) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration Technique Magnetotellurics Activity Date Usefulness useful DOE-funding Unknown Notes NOTE: These are theoretical/computer simulation tests of various methods on eight hypothetical 'model' basing-and-range geothermal systems. "The 300-meter heat flow holes are essentially useless for finding the "hidden" reservoirs. Clearly, the best results are obtained from the SP and MT surveys, with DC resistivity a close third. It is concluded that the best way to find "hidden" basin and range geothermal resources of this general type is to carry out simultaneous SP and low-frequency MT surveys, and then

490

Governance for Sustainable Development in the Arab Region | Open Energy  

Open Energy Info (EERE)

Sustainable Development in the Arab Region Sustainable Development in the Arab Region Jump to: navigation, search Name Governance for Sustainable Development in the Arab Region: Institutions and Instruments for Moving Beyond an Environmental Management Culture Agency/Company /Organization United Nations Economic and Social Commission for Western Asia Sector Energy Focus Area Energy Efficiency, Renewable Energy, Buildings, Industry, Transportation Topics Finance, Implementation, Policies/deployment programs Resource Type Guide/manual Website http://www.escwa.un.org/inform Country Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Sudan, Syria, United Arab Emirates, Yemen Western Asia, Northern Africa, Western Asia, Western Asia, Western Asia, Western Asia, Western Asia, Western Asia, Western Asia, Northern Africa, Western Asia, Western Asia, Western Asia

491

Alaska Region Offshore GIS Data | OpenEI  

Open Energy Info (EERE)

Region Offshore GIS Data Region Offshore GIS Data Dataset Summary Description The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for the Alaska Region. The data are available as GIS shapefiles. The types of data include: active leases, boundary of US jurisdiction for mineral development, and fed/state boundaries. All .zip files included here contain shapefiles, and most also contain supplemental metadata. Note: metadata appears to be available for all shapefiles from BOEMRE, but not all of the links on the BOEMRE website (http://www.boemre.gov/offshore/mapping/alaska.htm#OPD) work. Source US Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) Date Released July 01st, 2002 (12 years ago)

492

Building Distributed Energy Performance Optimization for China - a Regional  

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

Distributed Energy Performance Optimization for China - a Regional Distributed Energy Performance Optimization for China - a Regional Analysis of Building Energy Costs and CO2 Emissions Title Building Distributed Energy Performance Optimization for China - a Regional Analysis of Building Energy Costs and CO2 Emissions Publication Type Conference Proceedings Refereed Designation Refereed LBNL Report Number LBNL-81770 Year of Publication 2012 Authors Feng, Wei, Nan Zhou, Chris Marnay, Michael Stadler, and Judy Lai Conference Name 2012 ACEEE Summer Study on Energy Efficiency in Buildings, August 12-17, 2012 Date Published 08/2012 Conference Location Pacific Grove, California ISBN Number 0-918249-XX-X Notes LBNL - XXXXX Refereed Designation Refereed Attachment Size PDF 5 MB Google Scholar BibTex RIS RTF XML Alternate URL: http://eetd.lbl.gov/node/52998

493

Response of California temperature to regional anthropogenic aerosol  

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

Response of California temperature to regional anthropogenic aerosol Response of California temperature to regional anthropogenic aerosol changes Title Response of California temperature to regional anthropogenic aerosol changes Publication Type Journal Article Year of Publication 2008 Authors Novakov, Tihomir, Thomas W. Kirchstetter, Surabi Menon, and Jeffery Aguiar Journal Geophysical Research Letters Volume 35 Issue 19 Abstract In this paper, we compare constructed records of concentrations of black carbon (BC) - an indicator of anthropogenic aerosols - with observed surface temperature trends in California. Annual average BC concentrations in major air basins in California significantly decreased after about 1990, coincident with an observed statewide surface temperature increase. Seasonal aerosol concentration trends are consistent with observed seasonal temperature trends. These data suggest that the reduction in anthropogenic aerosol concentrations contributed to the observed surface temperature increase. Conversely, high aerosol concentrations may lower surface temperature and partially offset the temperature increase of greenhouse gases.

494

RPS Customer-Sited Tier Regional Program | Department of Energy  

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

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

495

Coal supply/demand, 1980 to 2000. Task 3. Resource applications industrialization system data base. Final review draft. [USA; forecasting 1980 to 2000; sector and regional analysis  

SciTech Connect

This report is a compilation of data and forecasts resulting from an analysis of the coal market and the factors influencing supply and demand. The analyses performed for the forecasts were made on an end-use-sector basis. The sectors analyzed are electric utility, industry demand for steam coal, industry demand for metallurgical coal, residential/commercial, coal demand for synfuel production, and exports. The purpose is to provide coal production and consumption forecasts that can be used to perform detailed, railroad company-specific coal transportation analyses. To make the data applicable for the subsequent transportation analyses, the forecasts have been made for each end-use sector on a regional basis. The supply regions are: Appalachia, East Interior, West Interior and Gulf, Northern Great Plains, and Mountain. The demand regions are the same as the nine Census Bureau regions. Coal production and consumption in the United States are projected to increase dramatically in the next 20 years due to increasing requirements for energy and the unavailability of other sources of energy to supply a substantial portion of this increase. Coal comprises 85 percent of the US recoverable fossil energy reserves and could be mined to supply the increasing energy demands of the US. The NTPSC study found that the additional traffic demands by 1985 may be met by the railways by the way of improved signalization, shorter block sections, centralized traffic control, and other modernization methods without providing for heavy line capacity works. But by 2000 the incremental traffic on some of the major corridors was projected to increase very significantly and is likely to call for special line capacity works involving heavy investment.

Fournier, W.M.; Hasson, V.

1980-10-10T23:59:59.000Z

496

New Mexico Regional SBIR/STTR Conference  

New Mexico Regional SBIR/STTR Conference: Small Business Innovation Research / Small Business Technology Transfer

497

Regional Summary Gulf of Mexico Management Context  

E-Print Network (OSTI)

Regional Summary Gulf of Mexico Management Context The Gulf Region is comprised of Texas, Louisiana, Mississippi, Alabama and West Florida. Federal fisheries in this region are managed by the Gulf of Mexico in the Gulf Region. The Gulf of Mexico red snapper fishery has been managed as an individual fishing quota

498

Regional Energy Baselines and Measurement and Verification Protocols: Subtask 3.1 for the Southern Energy Efficiency Center  

E-Print Network (OSTI)

The Southern Energy Efficiency Center (SEEC) was established to substantially increase the deployment of high-performance “beyond-code” buildings across the southern region of the U.S. It is funded by the U.S. Department of Energy (DOE) Building Technologies Program, and administered by the National Energy Technology Laboratory. The goal of the first 18-month phase was to address efficiency goals of states, utilities, and various energy-efficiency programs. In order to achieve this goal, the project efforts included defining the baseline energy patterns within the project region, as well as the measurement and verification (M&V) protocols for use in determining the efficiency improvements SEEC, state and USDOE efforts with respect to that baseline. This work is defined under the SEEC Subtask 3.1 Define Regional Baselines and Measurement & Verification Protocols. This report presents preliminary deliverables of this subtask developed and documented by the Energy Systems Laboratory (ESL) for use by the SEEC member state region. The primary goal of this subtask is to provide the state energy offices with a comparison tool of energy use either by total or per-capita. This tool is expected to allow the state energy offices to compare their energy use pattern against other states’ and the national average energy use by end-use sector. In addition, they can use this tool for a comparison of energy use within their states by end-use and by fuel-source. Another goal of this subtask is to demonstrate the usability of public-available data such as the U.S. Department of Energy’s Energy Information Agency (DOE EIA) data sets and the U.S. Census Bureau data sets. This approach has been successfully demonstrated by ESL as part of the Comptroller of Public Accounts and the State Energy Conservation Office report on Texas Energy Future. Limited preliminary analysis of the data was made since it was not a project goal. The data provides the basis by which extensive state by state analysis can begin. In addition, the recommended measurement and verification (M&V) protocols for an individual building or facility, ASHRAE/CIBSE/USGBC Performance Measurement Protocols (PMP) for Commercial Buildings, can be used as a bottom-up approach for energy efficiency improvements of buildings within the SEEC 12-state region.

Kim, Hyojin; Haberl, Jeff S.; Verdict, Malcolm

2009-03-01T23:59:59.000Z

499

A type system for CHR  

Science Conference Proceedings (OSTI)

We propose a generic type system for the Constraint Handling Rules (CHR), a rewriting rule language for implementing constraint solvers. CHR being a high-level extension of a host language, such as Prolog or Java, this type system is parameterized ...

Emmanuel Coquery; François Fages

2005-06-01T23:59:59.000Z

500

Interplay between chromatin state, regulator binding, and regulatory motifs in six human cell types  

E-Print Network (OSTI)

The regions bound by sequence-specific transcription factors can be highly variable across different cell types despite the static nature of the underlying genome sequence. This has been partly attributed to changes in ...

Kellis, Manolis