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

" 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"

6

" 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"

7

" 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"

8

" 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"

9

" 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"

10

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...

11

"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"

12

Hanford Site Regional Population - 2010 Census  

SciTech Connect (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

13

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.

14

"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"

15

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

16

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

17

"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

18

"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

19

"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

20

"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

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 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"

22

"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"

23

"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"

24

"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

25

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

26

"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"

27

"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

28

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

29

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

30

"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

31

"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"

32

" 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

33

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)"

34

"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"

35

"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

36

"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"

37

"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"

38

"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

39

"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

40

"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"

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

"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"

42

"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

43

"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

44

"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

45

"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

46

"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 "

47

"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

48

"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

49

"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"

50

"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

51

"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

52

"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

53

"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

54

"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"

55

"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"

56

"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

57

"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

58

"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

59

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

60

"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"

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 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

62

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

63

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

64

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

SciTech Connect (OSTI)

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

65

"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"

66

"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"

67

"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"

68

"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

69

"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"

70

"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

71

"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)"

72

"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"

73

Chandra Orion Ultradeep Project census of X-ray stars in the BN-KL and OMC-1S regions  

E-Print Network [OSTI]

Chandra Orion Ultradeep Project census of X-ray stars in the BN-KL and OMC-1S regions N. Grosso1 Molecular Cloud 1 (OMC-1) behind the Orion Nebula Cluster (ONC), as seen in the exceptionally deep ( 10 days) exposure of the Chandra Orion Ultradeep Project (COUP). We focus on a 40 Ã? 50 region around the Becklin

Boyer, Edmond

74

"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

75

"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

76

"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

77

"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

78

"Table HC12.10 Home Appliances Usage Indicators by Midwest Census...  

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

0 Home Appliances Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

79

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

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

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"...

80

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

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

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...

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

CHANDRA ORION ULTRADEEP PROJECT CENSUS OF X-RAY STARS IN THE BN-KL AND OMC-1S REGIONS N. Grosso,1  

E-Print Network [OSTI]

CHANDRA ORION ULTRADEEP PROJECT CENSUS OF X-RAY STARS IN THE BN-KL AND OMC-1S REGIONS N. Grosso,1 E), as seen in the exceptionally deep ($10 days) exposure of the Chandra Orion Ultradeep Project (COUP). We (collectively BN-KL) and a 6000 ; 7500 region around OMC-1S, a secondary star- forming peak some 9000 south

Micela, Giusi

82

http://www.census.gov/  

National Nuclear Security Administration (NNSA)

FAQs Subjects A to Z New on the Site Data Tools American FactFinder Jobs@Census Catalog Publications Are You in a Survey? About the Bureau Regional Offices Doing Business with Us...

83

Developing Livestock Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models  

SciTech Connect (OSTI)

The epidemiological and economic modeling of livestock diseases requires knowing the size, location, and operational type of each livestock facility within the US. At the present time, the only national database of livestock facilities that is available to the general public is the USDA's 2002 Agricultural Census data, published by the National Agricultural Statistics Service, herein referred to as the 'NASS data.' The NASS data provides facility data at the county level for various livestock types (i.e., beef cows, milk cows, cattle on feed, other cattle, total hogs and pigs, sheep and lambs, milk goats, and angora goats). However, the number and sizes of facilities for the various livestock types are not independent since some facilities have more than one type of livestock, and some livestock are of more than one type (e.g., 'other cattle' that are being fed for slaughter are also 'cattle on feed'). In addition, any data tabulated by NASS that could identify numbers of animals or other data reported by an individual respondent is suppressed by NASS and coded with a 'D.'. To be useful for epidemiological and economic modeling, the NASS data must be converted into a unique set of facility types (farms having similar operational characteristics). The unique set must not double count facilities or animals. At the same time, it must account for all the animals, including those for which the data has been suppressed. Therefore, several data processing steps are required to work back from the published NASS data to obtain a consistent database for individual livestock operations. This technical report documents data processing steps that were used to convert the NASS data into a national livestock facility database with twenty-eight facility types. The process involves two major steps. The first step defines the rules used to estimate the data that is suppressed within the NASS database. The second step converts the NASS livestock types into the operational facility types used by the epidemiological and economic model. Comparison of the resulting database with an independent survey of farms in central California shows excellent agreement between the numbers of farms for the various facility types. This suggests that the NASS data are well suited for providing a consistent set of county-level information on facility numbers and sizes that can be used in epidemiological and economic models.

Melius, C; Robertson, A; Hullinger, P

2006-10-24T23:59:59.000Z

84

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

85

36th annual Reed rig census  

SciTech Connect (OSTI)

For the sixth straight year, the number of rigs available in the U.S. declined. Five hundred and seventy-nine rotary rigs dropped out of drilling industry competition during the past 12 months as attrition forced rig supply closer toward balance with demand. Significant highlights of this year's census are: The U.S. rig fleet now stands at 2,752 drilling rigs, a 17.4% reduction from the census count in 1987. This is the largest percentage decline and the third largest absolute decline in available rigs in census history; The 1988 census active count was 1,532 rigs, up 10% over 1987; The 1988 census utilization rate was 55.7%, up from the 41.7% reported last year and a 110% improvement over the all-time low of 26.3% in 1986; Every region in the country reported a reduction in total available rigs. Each region also reported an increase in the active ring count with the exception of Ark-La-Tex; California had the highest utilization rate in the census (63.9%), and all regions reported a utilization rate greater than 50% with the exception of Ark-La-Tex, which reported a 45.5% rate; The number of rig owners declined 12% from 691 to 608. The decline in available rigs would have been greater, but owners brought back 226 rigs that had been dropped from previous census tabulations.

Fitts, R.L.; Crowhurst, M.E. (Reed Tool Co., Houston, TX (US))

1988-10-01T23:59:59.000Z

86

Census Snapshot: Oklahoma  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

87

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

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

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...

88

Oklahoma Census Snapshot: 2010  

E-Print Network [OSTI]

Oklahoma Census Snapshot: 2010 Same-sex couples per 1,000same-sex couples County Oklahoma Same-sex couples (adjusted)households (adjusted) Tulsa Oklahoma City Norman Shawnee

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

89

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

90

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

91

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

92

Harvesting Machine Census 1999 & 2001  

E-Print Network [OSTI]

1 Harvesting Machine Census 1999 & 2001 231 Corstorphine Road Edinburgh EH12 7AT www.forestry.gov.uk FCTN001 SUMMARY This Technical Note contains information on the 1999 and 2001 harvesting machine machines, converted forwarders, etc., account for the remaining machines. In the 2001 census, 65

93

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

94

Formal Type Soundness for Cyclone's Region System Dan Grossman  

E-Print Network [OSTI]

management of Cyclone and its static typing discipline. The design incorporates several advance- mentsFormal Type Soundness for Cyclone's Region System Dan Grossman Greg Morrisett Trevor Jim Mike Hicks Yanling Wang James Cheney November 2001 Abstract Cyclone is a polymorphic, type-safe programming language

Hicks, Michael

95

Molecular Outflows and a Mid-Infrared Census of the Massive Star-Formation Region Associated with IRAS 18507+0121  

E-Print Network [OSTI]

We have observed the central region of the IR-dark cloud filament associated with IRAS 18507+0121 at millimeter wavelengths in CO(1-0), 13CO(1-0), and C18O(1-0) line emission and with the Spitzer Space Telescope at mid-IR wavelengths. Five massive outflows from two cloud cores were discovered. Three outflows are centered on or near an Ultracompact HII region (G34.4+0.23) while the remaining two outflows originate from the millimeter core G34.4+0.23 MM. Modeling of the SEDs of the mid-IR sources identified 31 young stellar objects in the filament with a combined stellar mass of ~127 +/- 27 Msun. An additional 22 sources were identified as probable cluster members based on the presence of strong 24 micron emission. The total star formation efficiency in the G34.4 cloud filament is estimated to be ~7% while the massive and intermediate mass star formation efficiency in the entire cloud filament is estimated to be roughly 2%. A comparison of the gravitational binding energy with the outflow kinetic energy suggests that the compact core containing G34.4+0.23 MM is being destroyed by its molecular outflows whereas the outflows associated with more massive core surrounding the G34.4 UC HII region are not likely to totally disrupt the cloud. Additionally, a qualitative evaluation of the region appears to suggest that stars in this region may have formed in two stages: first lower mass stars formed and then, a few Myrs later, the more massive stars began to form.

D. S. Shepherd; M. S. Povich; B. A. Whitney; T. P. Robitaille; D. E. A. Nurnberger; L. Bronfman; D. P. Stark; R. Indebetouw; M. R. Meade; B. L. Babler

2007-06-28T23:59:59.000Z

96

Magnetoresistance of p-Type Si in the Hopping Region  

Science Journals Connector (OSTI)

The magnetoresistance in the hopping region of B-doped Si was found to be negative. This contrasts with the behavior in n-type Ge, where a positive magnetoresistance is characteristic of the hopping conduction region. No anisotropy is observed in fields up to 17 kG in the p-type Si. The resistance tends to saturate at about 15 kG. The change in dc resistance at that field is about 10% from the zero-field value.

M. Pollak and D. H. Watt

1963-02-15T23:59:59.000Z

97

44. Annual Reed rig census  

SciTech Connect (OSTI)

Reed Tool Company`s 44th annual rotary rig census found a spirit of increased optimism in the US oil and gas drilling industry. Rig utilization rose to 77% this year, the highest since the boom times of 15 years ago. A combination of a higher number of active rigs and another decline in available units to a historical low, led to this higher-than-average utilization rate. The paper discusses results from the survey.

Stokes, T.A.; Rodriguez, M.R. [Reed Tool Co., Houston, TX (United States)

1996-10-01T23:59:59.000Z

98

Census and viewing of organisms  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

99

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":""}]}

100

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":""}]}

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

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":""}]}

102

YELLOWSTONE LAKE TROUT CREEL CENSUSES, 1950-51  

E-Print Network [OSTI]

7^ YELLOWSTONE LAKE TROUT CREEL CENSUSES, 1950-51 SPECIAL SCIENTIFIC REPORT: FISHERIES No. 81 -, h Census method .......... ,o ..... |j Fishing Bridge Dock ........... 5 West Thumb Dock Bridge ,.....,.....,,.,.,.. 18 Lake shore census .......... . ip Private boat fishery

103

"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"

104

http://2010.census.gov/2010census/data/apportionment-dens-text...  

National Nuclear Security Administration (NNSA)

- 2010 Census 5252011 http:2010.census.gov2010censusdataapportionment-dens-text.php Population 331,069 437,571 486,869 663,091 802,178 763,956 756,510 638,333 606,900...

105

"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

106

34th annual reed rotary rig census  

SciTech Connect (OSTI)

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

107

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"

108

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"

109

42nd Annual Reed rig census  

SciTech Connect (OSTI)

The eleven-year trend of attrition in the US rig fleet slowed significantly this year as only 12 rigs, or less than 1%, left the available fleet. The number of rotary rigs available for drilling in the US now stands at 1,841. but for the 42-year history of the Reed Tool Co. Rotary Rig Census, the 1973 available rig count of 1,767 remains the record low for yet another year. The count of rigs active during the 45-day census period also declined since last year's census. The active count was down 4.5% to 1,221 from 1,279 in 1993. As a consequence, rig utilization fell to 66.3% in 1994, from 69.0% last year. Notably, a strong shift to gas from oil drilling has occurred. Of the 1,221 rigs active in the census period, 540 were drilling for gas on the last well vs. 356 drilling for oil. Compared to last year, this is an increase in gas drilling of 29% and a decrease in oil drilling 22%. (Rigs targeting both oil and gas totaled 325 in 1994.)

Stokes, T.A.; Rodriquez, M.R. (Reed Tool Co., Houston, TX (United States))

1994-10-01T23:59:59.000Z

110

39th annual Reed rig census  

SciTech Connect (OSTI)

This paper reports on cutbacks in U.S. exploration and development drilling during the first half of 1991 which squeezed most of the optimism out of the drilling industry. Just how rough the year has been is underscored by the results of this year's rig census. The number of rotary rigs available for U.S. drilling declined by only 69 units (3%) during the past 12 months. But despite those withdrawals from competition, only 66% of the remaining rigs were working at the time the census was taken. Results of the 1991 census contrasted sharply with the stability and optimism that seemed apparent a year ago when 72% of the available rig fleet met the census definition of active. At that time, the mini-boom in horizontal drilling coupled with tax-credit- driven gas drilling led to a relatively high rig utilization rate and suggested that rig supply and demand might be close to an economically acceptable balance. However, it quickly became apparent in early 1991 that industry optimism was unjustified. Horizontal drilling began to drop and the lowest natural gas prices in 12 years triggered rapid declines in gas drilling. Although oil prices have been relatively stable and above $18 per bbl since January 1989, most major operators have concluded that a better return on investment can be had outside the U.S. and have drastically cut their domestic drilling budgets. These factors, combined with softened energy demand from the worldwide recession, further slowed U.S. drilling. The long awaited balance between rig supply and demand has seemingly slipped away. The 1991 Reed rig census describes an industry facing several more rough years. Details of this year's census include: The available U.S. fleet now stands at 2,251 rigs, down by 69 from the 2,320-unit total in 1990, and the lowest since 1976. Rigs meeting the census definition of active numbered 1,485, down 192 (11.4%) from the 1,677 active rigs counted a year earlier.

Crowhurst, M.E.; Fitts, R.L. (Reed Tool Co., Houston, TX (US))

1991-10-01T23:59:59.000Z

111

"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

112

"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

113

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"

114

US prep plant census 2008  

SciTech Connect (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

115

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

SciTech Connect (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

116

45th annual Reed rig census  

SciTech Connect (OSTI)

Since 1983, Reed Tool Co.`s annual rotary rig census has reported 14 consecutive annual reductions in the U.S. rig fleet. This year, the downward trend has reversed and more rigs have been added to the available fleet than have left. Robust drilling activity has also spurred higher rig utilization in 1997. Utilization climbed to 86.9% this year, more than ten percentage points higher than a year ago and the highest since 1981. Data and trends are discussed.

Stokes, T.A.; Rodriguez, M.R. [Reed Tool Co., Houston, TX (United States)

1997-10-01T23:59:59.000Z

117

40th annual Reed rig census  

SciTech Connect (OSTI)

This paper reports that declines characterize the 1992 rig census-in the number of available drilling rigs, in the number of active rigs, in rig utilization rate, in the number of rig owners and in industry optimism. The number of rotary rigs available for U.S. drilling fell by 255 units (11.3%) during the past 12 months, an attrition rate almost four times greater than in 1991. But despite the high attrition, only 59.7% of remaining rigs were working during the time the census was taken. Results of the 1992 census bring emphasis to an industry trend that became apparent in early 1991. The major oil companies, and many independents, continued their exodus form the U.S., and the remaining independents, which were hurt by low natural gas prices and unfavorable tax treatment of intangible drilling costs, were not able to pick u the drilling slack. Consequently, the past year has been disastrous for many U.S. drilling contractors, and the outlook for this industry segment remains bleak.

Fitts, R.L.; Stokes, T.A. (Reed Tool Co., Houston, TX (United States))

1992-10-01T23:59:59.000Z

118

CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER,  

E-Print Network [OSTI]

CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological Laboratory JUN16 1954 WOODS HOLE, MASS MAP CREEL CENSUS SUN RIVER MONTANA DRAWN i*^ ^ TRACED- _2£jLt:l SUBMITTED . 1 V N 01 1 VN ei

119

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)

120

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)

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

CensusPlus: A sampling and prediction approach for the 2000 census of the United States  

SciTech Connect (OSTI)

For a general audience, this paper offers details of a simple proposal for estimation of the population and housing in the year 2000 for the United States. Under CensusPlus, two surveys (mass enumeration and plus sample enumeration) are made of a universe with M blocks. The mass enumeration results in an initial preliminary count for each and every block in the country. The plus sample blocks undergo a second extra high quality count which when compared with the initial count leads to observed resolved counts for the sample blocks. Under a simple model, resolved counts are predicted for the nonsample blocks. Hence an optimal estimator of N, the universe size. is obtained by adding these observed (in sample) and predicted (not in sample) resolved block counts. In fact, this sum turns out to be the classical ratio estimator. This one number census collection is additive and consistent for all levels of geography. In addition, this paper presents sample sizes for the number of blocks required by the plus sample enumeration to support reliable state level estimates of population produced by CensusPlus. In particular and using data from the 1990 Census Files and the 1990 PES Block Data File, it is shown that a nationwide deeply stratified probability sample of 22,120 blocks is needed to ensure that the housing unit population of a given state is estimated with a standard error of 40,000 persons. The 1990 PES Block Data File also provides some early empirical evidence that the model is very likely to hold.

Wright, T.

1995-07-01T23:59:59.000Z

122

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

123

Some inferences on the role of lower positive charge region in facilitating different types of lightning  

E-Print Network [OSTI]

of lightning Amitabh Nag1 and Vladimir A. Rakov1 Received 24 November 2008; revised 22 January 2009; accepted 3'' the potential cloud-to-ground flash to an intracloud (or cloud-to-air) one. Assuming that the preliminary with the lower positive charge region, we qualitatively examine the inferred dependence of lightning type

Florida, University of

124

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.'

125

The metal abundance of circumnuclear star forming regions in early type spirals. Spectrophotometric observations  

E-Print Network [OSTI]

We have obtained long-slit observations in the optical and near infrared of 12 circumnuclear HII regions (CNSFR) in the early type spiral galaxies NGC 2903, NGC 3351 and NGC 3504 with the aim of deriving their chemical abundances. Only for one of the regions, the [SIII] $\\lambda$ 6312 \\AA was detected providing, together with the nebular [SIII] lines at $\\lambda\\lambda$ 9069, 9532 \\AA, a value of the electron temperature of T$_e$([SIII])= 8400$^{+ 4650}_{-1250}$K. A semi-empirical method for the derivation of abundances in the high metallicity regime is presented. We obtain abundances which are comparable to those found in high metallicity disc HII regions from direct measurements of electron temperatures and consistent with solar values within the errors. The region with the highest oxygen abundance is R3+R4 in NGC 3504, 12+log(O/H) = 8.85, about 1.5 solar if the solar oxygen abundance is set at the value derived by Asplund et al. (2005), 12+log(O/H)$_{\\odot}$ = 8.66$\\pm$0.05. Region R7 in NGC 3351 has the lowest oxygen abundance of the sample, about 0.6 times solar. In all the observed CNSFR the O/H abundance is dominated by the O$^+$/H$^+$ contribution, as is also the case for high metallicity disc HII regions. For our observed regions, however, also the S$^+$/S$^{2+}$ ratio is larger than one, contrary to what is found in high metallicity disc HII regions for which, in general, the sulphur abundances are dominated by S$^{2+}$/H$^+$...

Angeles I. Diaz; Elena Terlevich; Marcelo Castellanos; Guillermo F. Hagele

2007-09-08T23:59:59.000Z

126

Water deuterium fractionation in the inner regions of two solar type protostars  

E-Print Network [OSTI]

The [HDO]/[H2O] ratio is a crucial parameter for probing the history of water formation. So far, it has been measured for only three solar type protostars and yielded different results, possibly pointing to a substantially different history in their formation. In the present work, we report new interferometric observations of the HDO 4 2,2 - 4 2,3 line for two solar type protostars, IRAS2A and IRAS4A, located in the NGC1333 region. In both sources, the detected HDO emission originates from a central compact unresolved region. Comparison with previously published interferometric observations of the H218$O 3 1,3 - 2 2,0 line shows that the HDO and H$_2$O lines mostly come from the same region. A non-LTE LVG analysis of the HDO and H218$O line emissions, combined with published observations, provides a [HDO]/[H2O] ratio of 0.3 - 8 % in IRAS2A and 0.5 - 3 % in IRAS4A. First, the water fractionation is lower than that of other molecules such as formaldehyde and methanol in the same sources. Second, it is similar t...

Taquet, Vianney; Ceccarelli, Cecilia; Neri, Roberto; Kahane, Claudine; Coutens, Audrey; Vastel, Charlotte

2013-01-01T23:59:59.000Z

127

Spatial Variation of Soil Type and Soil Moisture in the Regional Atmospheric Modeling System  

SciTech Connect (OSTI)

Soil characteristics (texture and moisture) are typically assumed to be initially constant when performing simulations with the Regional Atmospheric Modeling System (RAMS). Soil texture is spatially homogeneous and time-independent, while soil moisture is often spatially homogeneous initially, but time-dependent. This report discusses the conversion of a global data set of Food and Agriculture Organization (FAO) soil types to RAMS soil texture and the subsequent modifications required in RAMS to ingest this information. Spatial variations in initial soil moisture obtained from the National Center for Environmental Predictions (NCEP) large-scale models are also introduced. Comparisons involving simulations over the southeastern United States for two different time periods, one during warmer, more humid summer conditions, and one during cooler, dryer winter conditions, reveals differences in surface conditions related to increases or decreases in near-surface atmospheric moisture con tent as a result of different soil properties. Three separate simulation types were considered. The base case assumed spatially homogeneous soil texture and initial soil moisture. The second case assumed variable soil texture and constant initial soil moisture, while the third case allowed for both variable soil texture and initial soil moisture. The simulation domain was further divided into four geographically distinct regions. It is concluded there is a more dramatic impact on thermodynamic variables (surface temperature and dewpoint) than on surface winds, and a more pronounced variability in results during the summer period. While no obvious trends in surface winds or dewpoint temperature were found relative to observations covering all regions and times, improvement in surface temperatures in most regions and time periods was generally seen with the incorporation of variable soil texture and initial soil moisture.

Buckley, R.

2001-06-27T23:59:59.000Z

128

Classification of Hepatitis C Virus Type 2 Isolates by Phylogenetic Analysis of Core and NS5 Regions  

Science Journals Connector (OSTI)

...Virus Type 2 Isolates by Phylogenetic Analysis of Core and NS5 Regions Mauro Pistello Fabrizio Maggi Claudia Fornai Alessandro Leonildi Antonietta Morrica Maria Linda Vatteroni Mauro Bendinelli Retrovirus Center and Virology Section Department of Biomedicine...

Mauro Pistello; Fabrizio Maggi; Claudia Fornai; Alessandro Leonildi; Antonietta Morrica; Maria Linda Vatteroni; Mauro Bendinelli

1999-06-01T23:59:59.000Z

129

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

130

Mining Spatial Association Rules in Census Data: A Relational Approach  

E-Print Network [OSTI]

Mining Spatial Association Rules in Census Data: A Relational Approach Donato Malerba, Francesca A involving spatial relations among (spatial) objects. The method is based on a multi-relational data mining by traditional statistical techniques in spatial data analysis. The proposed method has been implemented

Malerba, Donato

131

Census 2000 Demographic Profiles City of Pittsburgh Neighborhoods  

E-Print Network [OSTI]

1 data. Summary File 1 (SF 1) contains 286 detailed tables focusing on age, sex, households, families, and housing units. These tables provide in-depth figures by race and Hispanic origin; some tables they considered themselves and other members of their households to be. For the 2000 census, more than one racial

Sibille, Etienne

132

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

133

THE EXTENDED NARROW-LINE REGION OF TWO TYPE-I QUASI-STELLAR OBJECTS  

SciTech Connect (OSTI)

We investigate the narrow-line region (NLR) of two radio-quiet QSOs, PG1012+008 and PG1307+085, using high signal-to-noise spatially resolved long-slit spectra obtained with FORS1 at the Very Large Telescope. Although the emission is dominated by the point-spread function of the nuclear source, we are able to detect extended NLR emission out to several kiloparsec scales in both QSOs by subtracting the scaled central spectrum from outer spectra. In contrast to the nuclear spectrum, which shows a prominent blue wing and a broad line profile of the [O III] line, the extended emission reveals no clear signs of large-scale outflows. Exploiting the wide wavelength range, we determine the radial change of the gas properties in the NLR, i.e., gas temperature, density, and ionization parameter, and compare them with those of Seyfert galaxies and type-II QSOs. The QSOs have higher nuclear temperature and lower electron density than Seyferts, but show no significant difference compared to type-II QSOs, while the ionization parameter decreases with radial distance, similar to the case of Seyfert galaxies, For PG1012+008, we determine the stellar-velocity dispersion of the host galaxy. Combined with the black hole mass, we find that the luminous radio-quiet QSO follows the local M{sub BH}-{sigma}{sub *} relation of active galactic nuclei.

Oh, Semyeong; Woo, Jong-Hak [Astronomy Program, Department of Physics and Astronomy, Seoul National University, Seoul 151-742 (Korea, Republic of); Bennert, Vardha N. [Physics Department, California Polytechnic State University San Luis Obispo, CA 93407 (United States); Jungwiert, Bruno [Astronomical Institute, Academy of Sciences of the Czech Republic, Bocni II 1401/1a, CZ-141 31 Prague (Czech Republic); Haas, Martin [Astronomisches Institut, Ruhr-Universitaet Bochum, Universitaetsstrasse 150, D-44801 Bochum (Germany); Leipski, Christian [Max-Planck Institut fuer Astronomie, Koenigstuhl 17, D-69117 Heidelberg (Germany); Albrecht, Marcus, E-mail: smoh@astro.snu.ac.kr, E-mail: woo@astro.snu.ac.kr, E-mail: vbennert@calpoly.edu, E-mail: bruno@ig.cas.cz, E-mail: haas@astro.rub.de, E-mail: leipski@mpia-hd.mpg.de, E-mail: malbrecht@astro.uni-bonn.de [Argelander-Institut fuer Astronomie, Auf dem Huegel 71, 53121 Bonn (Germany)

2013-04-20T23:59:59.000Z

134

Paleocene benthonic foraminiferal biostratigraphy, paleobiogeography and paleoecology of Atlantic—Tethyan regions: Midway-type fauna  

Science Journals Connector (OSTI)

The stratigraphic, geographic and bathymetric distribution of some Paleocene benthonic foraminiferal assemblages have been studied in the Tethyan and circum-Atlantic regions within the framework of planktonic foraminiferal zones. Although some species appear to be restricted to either the Tethyan-European area or to the western Atlantic, the majority of species are amphi-Atlantic and Tethyan in distribution. The cosmopolitan distribution is attributed to more equitable climatic conditions (lower polar—equatorial thermal gradient) and warmer, more uniform thermal structure of the oceans and different paleogeographic and paleo-oceanographic conditions. Two main distinct depth-controlled benthonic foraminiferal assemblages (exclusive of the shallow-warm water Tethyan carbonate assemblage) have been recognized in the Paleocene. The continental shelf fauna, termed here the “Midway-type fauna” (MF) is characterized by species of Cibicidoides alleni (Plummer) = propria Brotzen, howelli (Toulmin), succedens (Brotzen), Anomalinoides [acuta (Plummer), midwayensis (Plummer)], Gavelinella [danica (Brotzen), neelyi (Jennings)], and Osangularia plummerae Brotzen, as well as various lagenids (nodosariids, lenticulinids, vaginulinids), polymorphinids and textulariids. A lower continental slope and abyssal plain fauna, termed here the “Velasco-type fauna” (VF), is characterized by, amongst others, Gavalinella [beccariiformis (White), rubiginosa (Cushman), velascoensis (Cushman)], Nuttallides truempy (Nuttall), Nuttallinella florealis (Cushman), velascoensisZ (Cushman)], (Cushman), Aragonia velascoensis (Cushman), nodosariids (N. velascoensis Cushman, Dentalina limbata d'Orbigny), various agglutinated forms [Gaudryina pyramidata Cushman, Tritaxia aspera (Cushman), Dorothia ex. gr. oxycona trinitatensis (Cushman and Renz)], and various gyroidinids and buliminids. Pleuriostomellids and stilostomellids are quantitatively rare and unimportant until the Middle—Late Eocene. This paper discusses the biostratigraphy and biogeography of the “Midway-type fauna”.

W.A. Berggren; Jane Aubert

1975-01-01T23:59:59.000Z

135

Abstract 2322: The KIAA1549:BRAF fusion gene regulates mTOR signaling and gliomagenesis in a cell type- and brain region-specific manner.  

Science Journals Connector (OSTI)

...The KIAA1549:BRAF fusion gene regulates mTOR...gliomagenesis in a cell type- and brain region-specific...region- and cell type-specific growth...also observed in fusion BRAF-associated...The KIAA1549:BRAF fusion gene regulates mTOR...gliomagenesis in a cell type- and brain region-specific...

Aparna Kaul; Yi-Hsien Chen; Ryan J. Emnett; Sonika Dahiya; and David Gutmann

2013-08-14T23:59:59.000Z

136

Texas A&M Transportation Institute | 2012 Page | 1 Houston-Galveston Regional Transit Services  

E-Print Network [OSTI]

Texas A&M Transportation Institute | 2012 Page | 1 Houston-Galveston Regional Transit Services Galveston UZA 54,770 N/A 12 Source: U.S. Census Decennial Census and Google Map #12;Page | 2 Texas A in the Houston-Galveston Metropolitan Region #12;Texas A&M Transportation Institute | 2012 Page | 3 The Houston-Galveston

137

Evidence of two different types of short term solar modulation of regional surface temperature and cloud  

E-Print Network [OSTI]

Recent work indicates that 27 day variations in cosmic ray flux during 2007 2009 are phase locked to 27 day variations in cloud and surface temperature at Shetland. Here we extend the study to other regions including Central England, US and Australia and to several other annual intervals that exhibit strong 27 day variation in cosmic ray flux and sunspot area. Band pass filtering was used to obtain 27 day components of daily maximum temperature in each region and 27 day components of cloud variation were determined, in Australia only, from solar exposure records. When cosmic ray flux is the dominant influence phase locked variations in surface temperature occur in each of the regions with, however, in phase or anti phase variation in different regions. Similar phase locking of 27 day variation in surface temperature to sunspot area variation occurs when sunspot activity is the dominant influence with indications that changes from in phase to anti phase variation are linked to flipping of sunspot activity from...

Edmonds, Ian

2014-01-01T23:59:59.000Z

138

Genomic Imprinting Variations in the Mouse Type 3 Deiodinase Gene Between Tissues and Brain Regions  

E-Print Network [OSTI]

, tissues were dissected, immediately frozen on dry ice and stored at –70 C until further use. Brain regions were identified and harvested according to the mouse atlas by Paxinos (30). Animal procedures were approved by the Institutional Animal Care and Use... paternal, allele. This suggests that expression and associated alterations in chromatin facil- itate homologous recombination. The result is also con- sistent with observations that suggest the existence of epi- genetic boundaries that are associated with a...

Martinez, M. Elena; Charalambous, Marika; Saferali, Aabida; Fiering, Steven; Naumova, Anna K.; St. Germain, Donald; Ferguson-Smith, Anne C.; Hernandez, Arturo

2014-09-18T23:59:59.000Z

139

The Atlas3D project --III. A census of the stellar angular momentum within the  

E-Print Network [OSTI]

The Atlas3D project -- III. A census of the stellar angular momentum within the effective radius style file v2.2) The ATLAS3D project ­ III. A census of the stellar angular momentum within¨ur extraterrestrische Physik, PO Box 1312, D-85478 Garching, Germany 8Space Telescope European Coordinating Facility

Bureau, Martin

140

Neutralization Efficiency Is Greatly Enhanced by Bivalent Binding of an Antibody to Epitopes in the V4 Region and the Membrane-Proximal External Region within One Trimer of Human Immunodeficiency Virus Type 1 Glycoproteins  

Science Journals Connector (OSTI)

...External Region within One Trimer of Human Immunodeficiency Virus Type 1 Glycoproteins Published ahead of print on 12 May 2010. Pengcheng Wang Present address: Department of Microbiology and Immunology, Medical College of Jinan University, Guangzhou, Guangdong...

Pengcheng Wang; Xinzhen Yang

2010-05-12T23:59:59.000Z

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.


141

Distribution Patterns of Metals Contamination in Sediments Based on Type Regional Development on the Intertidal Coastal Zones of the Persian Gulf, Iran  

Science Journals Connector (OSTI)

This study was performed to determine the variation of metals concentrations (Pb, Cd, Zn, and Cu) in surface sediments based on type region development from ten sites on the intertidal coastal zone of the Persian

Ali Kazemi; Alireza Riyahi Bakhtiari…

2012-01-01T23:59:59.000Z

142

The Census of Marine Life—evolution of worldwide marine biodiversity research  

Science Journals Connector (OSTI)

This paper discusses the origin and development of the 10-year Census of Marine Life, describing the way in which a ... was ripe to engage in a large-scale marine biodiversity program incorporating the newest tec...

Vera Alexander; Patricia Miloslavich; Kristen Yarincik

2011-12-01T23:59:59.000Z

143

The Census of Antarctic Marine Life: The First Available Baseline for Antarctic Marine Biodiversity  

Science Journals Connector (OSTI)

CAML was also one of the fourteen projects of the international Census of Marine Life (CoML, www.coml.org ) (Gutt et al. 2010...), each focusing on specific g...

Stefano Schiaparelli; Bruno Danis…

2013-01-01T23:59:59.000Z

144

Solar Census - Perfecting the Art of Automated, Remote Solar Shading Assessments (Fact Sheet)  

SciTech Connect (OSTI)

To validate the work completed by Solar Census as part of the Department of Energy SunShot Incubator 8 award, NREL validated the performanec of the Solar Census Surveyor tool against the industry standard Solmetric SunEye measurements for 4 residential sites in California who experienced light to heavy shading. Using the a two one-sided test (TOST) of statistical equivalence, NREL found that the mean differences between the Solar Census and SunEye mean solar access values for Annual, Summer, and Winter readings fall within the 95% confidence intervals and the confidence intervals themselves fall within the tolerances of +/- 5 SAVs, the Solar Census calculations are statistically equivalent to the SunEye measurements.

Not Available

2014-04-01T23:59:59.000Z

145

Introduction Potato Types and Uses The potato is native to the Andean region of South Potato varieties vary according to shape, flesh color  

E-Print Network [OSTI]

Introduction Potato Types and Uses The potato is native to the Andean region of South Potato, tuber type similar to the following examples: potatoes are the fourth most important food crop are planted each year for commercial production. The LongIWhite Skin: White Rose, Shepody potato is a member

Douches, David S.

146

" 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"

147

"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",,,,," "

148

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

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

Shingle)",1.9,0.7,0.3,0.7,"Q" "Stone",1,0.4,"Q",0.5,"Q" "Other",1.5,"Q",0.7,0.5,"Q" "FoundationBasement of Single-" "Family Units and Apartments in" "2 to 4 Unit Buildings" "(more...

149

" 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"

150

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

151

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

152

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (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

153

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

SciTech Connect (OSTI)

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

154

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (OSTI)

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

155

Page 1 TXCRDC Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center  

E-Print Network [OSTI]

Page 1 ­ TXCRDC ­ Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center Datasets Available in Census Research Data Centers Overview This document brings together short. They include: 1. Links to Detailed Information about Available Datasets 2. Quick Summary Listings of Available

Bermúdez, José Luis

156

COALITION FOR A SUSTAINABLE AGRICULTURAL WORKFORCE 2013 AGRICULTURAL SCIENCE WORKFORCE CENSUS  

E-Print Network [OSTI]

workforce planning and development data to create a broad inventory of the future need for scientistsCOALITION FOR A SUSTAINABLE AGRICULTURAL WORKFORCE 2013 AGRICULTURAL SCIENCE WORKFORCE CENSUS #12;Summary SUMMARY In January 2013, CSAW (Coalition for a Sustainable Agricultural Workforce) conducted

Wang, Xiaorui "Ray"

157

Patterns of Protein-Fold Usage in Eight Microbial Genomes: A Comprehensive Structural Census  

E-Print Network [OSTI]

Patterns of Protein-Fold Usage in Eight Microbial Genomes: A Comprehensive Structural Census Mark in terms of patterns of fold usage--whether a given fold occurs in a particular organism. Of the 340 be analyzed through trans- membrane-helix (TM) prediction. All the genomes appear to have similar usage

Gerstein, Mark

158

AN INFRARED CENSUS OF STAR FORMATION IN THE HORSEHEAD NEBULA  

SciTech Connect (OSTI)

At {approx} 400 pc, the Horsehead Nebula (B33) is the closest radiatively sculpted pillar to the Sun, but the state and extent of star formation in this structure is not well understood. We present deep near-infrared (IRSF/SIRIUS JHK {sub S}) and mid-infrared (Spitzer/IRAC) observations of the Horsehead Nebula to characterize the star-forming properties of this region and to assess the likelihood of triggered star formation. Infrared color-color and color-magnitude diagrams are used to identify young stars based on infrared excess emission and positions to the right of the zero-age main sequence, respectively. Of the 45 sources detected at both near- and mid-infrared wavelengths, three bona fide and five candidate young stars are identified in this 7' x 7' region. Two bona fide young stars have flat infrared spectral energy distributions and are located at the western irradiated tip of the pillar. The spatial coincidence of the protostars at the leading edge of this elephant trunk is consistent with the radiation-driven implosion model of triggered star formation. There is no evidence, however, for sequential star formation within the immediate {approx} 1.'5 (0.17 pc) region from the cloud/H II region interface.

Bowler, Brendan P. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Waller, William H. [Department of Physics and Astronomy, Tufts University, Medford, MA 02155 (United States); Megeath, S. Thomas [Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606 (United States); Patten, Brian M. [National Science Foundation, 4201 Wilson Blvd. Arlington, VA 22230 (United States); Tamura, Motohide [National Astronomical Observatory of Japan, Osawa, Mitaka, Tokyo 181-8588 (Japan)], E-mail: bpbowler@ifa.hawaii.edu, E-mail: william.waller@tufts.edu, E-mail: megeath@physics.utoledo.edu, E-mail: bpatten@nsf.gov, E-mail: motohide.tamura@nao.ac.jp

2009-03-15T23:59:59.000Z

159

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":""}]}

160

2012 Census of Agriculture Underway Respond Now For many farmers across the nation, this is the time of year to finish paperwork after a busy  

E-Print Network [OSTI]

2012 Census of Agriculture Underway ­ Respond Now For many farmers across the nation. This makes it a perfect time to also fill out and return your 2012 Census of Agriculture form. The Census of Agriculture is sent to all farmers and ranchers only once every five years by USDA's National Agricultural

Watson, Craig A.

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

Report for Development of a Census Array and Evaluation of the Array to Detect Biothreat Agents and Environmental Samples for DHS  

SciTech Connect (OSTI)

The objective of this project is to provide DHS a comprehensive evaluation of the current genomic technologies including genotyping, Taqman PCR, multiple locus variable tandem repeat analysis (MLVA), microarray and high-throughput DNA sequencing in the analysis of biothreat agents from complex environmental samples. This report focuses on the design, testing and results of samples on the Census Array. We designed a Census/Detection Array to detect all sequenced viruses (including phage), bacteria (eubacteria), and plasmids. Family-specific probes were selected for all sequenced viral and bacterial complete genomes, segments, and plasmids. Probes were designed to tolerate some sequence variation to enable detection of divergent species with homology to sequenced organisms, and to be unique relative to the human genome. A combination of 'detection' probes with high levels of conservation within a family plus 'census' probes targeting strain/isolate specific regions enabled detection and taxonomic classification from the level of family down to the strain. The array has wider coverage of bacterial and viral targets based on more recent sequence data and more probes per target than other microbial detection/discovery arrays in the literature. We tested the array with purified bacterial and viral DNA/RNA samples, artificial mixes of known bacterial/viral samples, spiked DNA against complex background including BW aerosol samples and soil samples, and environmental samples to evaluate the array's sensitivity and forensic capability. The data were analyzed using our novel maximum likelihood software. For most of the organisms tested, we have achieved at least species level discrimination.

Jaing, C; Jackson, P

2011-04-14T23:59:59.000Z

162

Housing Archetype Analysis for Home Energy-Efficient Retrofit in the Great Lakes Region  

SciTech Connect (OSTI)

This project report details activities and results of the 'Market Characterization' project undertaken by the Cost Effective Energy Retrofit (CEER) team targeted toward the DOE goal of achieving 30%-50% reduction in existing building energy use. CEER consists of members from the Dow Chemical Company, Michigan State University, Ferris State University and Habitat for Humanity Kent County. The purpose of this market characterization project was to identify housing archetypes which are dominant within Great Lakes region and therefore offer significant potential for energy-efficient retrofit research and implementation due to the substantial number of homes possessing similar characteristics. Understanding the characteristics of housing groups referred to as 'archetypes' by vintage, style, and construction characteristics can allow research teams to focus their retrofit research and develop prescriptive solutions for those structure types which are prevalent and offer high potential uptake within a region or market. Key research activities included; literature review, statistical analysis of national and regional data of the American Housing Survey (AHS) collected by the U.S. Census Bureau, analysis of Michigan specific data, development of a housing taxonomy of architectural styles, case studies of two local markets (i.e., Ann Arbor and Grand Rapids in Michigan) and development of a suggested framework (or process) for characterizing local markets. In order to gain a high level perspective, national and regional data from the U.S. Census Bureau was analyzed using cross tabulations, multiple regression models, and logistic regression to characterize the housing stock and determine dominant house types using 21 variables.

Kim, S. K.; Mrozowski, T.; Harrell-Seyburn, A.; Ehrlich, N.; Hembroff, L.; Bieburn, B.; Mazor, M.; McIntyre, A.; Mutton, C.; Parsons, G.; Syal, M. G.; Wilkinson, R.

2014-09-01T23:59:59.000Z

163

Tissue site-specific enhancer function of the upstream regulatory region of human papillomavirus type 11 in cultured keratinocytes.  

Science Journals Connector (OSTI)

...in cultured cells after microinjection with DNA constructsa T-antigen expression with constructs: Cell type No. of pPT-1 pPPl pPT-11R % Positive Intensityb % Positive Intensity % Positive Intensity Host Larynx 3 4.7 ? 3.1 NDc 44.0 ? 22.1 30...

B M Steinberg; K J Auborn; J L Brandsma; L B Taichman

1989-02-01T23:59:59.000Z

164

University of Saskatchewan Student Entrance Census, 2013 Published July, 2014 Contact: University Learning Centre ulc_surveys@usask.ca  

E-Print Network [OSTI]

University of Saskatchewan Student Entrance Census, 2013 Published July, 2014 their first-year of studies at the University of Saskatchewan to complete a series Percentage Count Saskatoon 28% 826 In a Saskatchewan city with population

Peak, Derek

165

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#).

166

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (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

167

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (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

168

Analysis of regional demand for natural gas by black and nonblack families  

SciTech Connect (OSTI)

This study examines long-term implications of a hypothetical 20% increase in the price of natural gas for black and nonblack families, by household, in the continental United States. The analysis focuses on four specific effects of such an increase: demand for natural gas, expenditure for natural gas, natural gas expenditure as a share of family income, and consumer surplus. Data are organized geographically to represent three sections of the continental United States - the northeastern states, the north central states, and the southern and western states. (The state groupings are identical to those represented in the country's census regions; the southern and western census regions were combined because of data limitations). The report presents demand equations that were used to estimate gas consumption and expenditure by average black and nonblack families in the three geographic areas. Models representing typical household types, each with a specific set of attributes, are then presented to show average base-year values for natural gas consumption and expenditure for two types of black and nonblack families - those that use natural gas for any purpose and only those that use it for space heating. (Base-period values are estimated using data from a DOE survey conducted in the years 1980 and 1981). The effects of a hypothetical 20% increase in the price of natural gas on the various household types were then estimated. Those effects are summarized. Families using natural gas for a any purpose in the north central states would experience the greatest long-term effects of a 20% price increase. Black families in those states would feel the effects more dramatically than nonblack families. The relative geographic effects of such a price increase change, however, when only those families that use natural gas for space heating are analyzed. 3 references, 4 figures, 18 tables.

Poyer, D.A.

1984-08-01T23:59:59.000Z

169

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (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

170

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

SciTech Connect (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

171

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

SciTech Connect (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 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

172

"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

173

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#).

174

Semiconductor systems utilizing materials that form rectifying junctions in both N and P-type doping regions, whether metallurgically or field induced, and methods of use  

DOE Patents [OSTI]

Disclosed are semiconductor systems, such as integrated circuits utilizing Schotky barrier and/or diffused junction technology, which semiconductor systems incorporate material(s) that form rectifying junctions in both metallurgically and/or field induced N and P-type doping regions, and methods of their use. Disclosed are Schottky barrier based inverting and non-inverting gate voltage channel induced semiconductor single devices with operating characteristics similar to multiple device CMOS systems and which can be operated as modulators, N and P-channel MOSFETS and CMOS formed therefrom, and (MOS) gate voltage controlled rectification direction and gate voltage controlled switching devices, and use of such material(s) to block parasitic current flow pathways. Simple demonstrative five mask fabrication procedures for inverting and non-inverting gate voltage channel induced semiconductor single devices with operating characteristics similar to multiple device CMOS systems are also presented.

Welch, James D. (10328 Pinehurst Ave., Omaha, NE 68124)

2000-01-01T23:59:59.000Z

175

"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

176

"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

177

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 | | | |_______________________|

178

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 | | | |_______________________|

179

A HERSCHEL AND APEX CENSUS OF THE REDDEST SOURCES IN ORION: SEARCHING FOR THE YOUNGEST PROTOSTARS  

SciTech Connect (OSTI)

We perform a census of the reddest, and potentially youngest, protostars in the Orion molecular clouds using data obtained with the PACS instrument on board the Herschel Space Observatory and the LABOCA and SABOCA instruments on APEX as part of the Herschel Orion Protostar Survey (HOPS). A total of 55 new protostar candidates are detected at 70 {mu}m and 160 {mu}m that are either too faint (m{sub 24} > 7 mag) to be reliably classified as protostars or undetected in the Spitzer/MIPS 24 {mu}m band. We find that the 11 reddest protostar candidates with log {lambda}F{sub {lambda}}70/{lambda}F{sub {lambda}}24 > 1.65 are free of contamination and can thus be reliably explained as protostars. The remaining 44 sources have less extreme 70/24 colors, fainter 70 {mu}m fluxes, and higher levels of contamination. Taking the previously known sample of Spitzer protostars and the new sample together, we find 18 sources that have log {lambda}F{sub {lambda}}70/{lambda}F{sub {lambda}}24 > 1.65; we name these sources 'PACS Bright Red sources', or PBRs. Our analysis reveals that the PBR sample is composed of Class 0 like sources characterized by very red spectral energy distributions (SEDs; T{sub bol} < 45 K) and large values of sub-millimeter fluxes (L{sub smm}/L{sub bol} > 0.6%). Modified blackbody fits to the SEDs provide lower limits to the envelope masses of 0.2-2 M{sub Sun} and luminosities of 0.7-10 L{sub Sun }. Based on these properties, and a comparison of the SEDs with radiative transfer models of protostars, we conclude that the PBRs are most likely extreme Class 0 objects distinguished by higher than typical envelope densities and hence, high mass infall rates.

Stutz, Amelia M.; Robitaille, Thomas; Henning, Thomas; Krause, Oliver [Max Planck Institute for Astronomy, Koenigstuhl 17, D-69117 Heidelberg (Germany)] [Max Planck Institute for Astronomy, Koenigstuhl 17, D-69117 Heidelberg (Germany); Tobin, John J. [National Radio Astronomy Observatory, Charlottesville, VA 22903 (United States)] [National Radio Astronomy Observatory, Charlottesville, VA 22903 (United States); Stanke, Thomas [ESO, Karl-Schwarzschild-Strasse 2, D-85748 Garching bei Muenchen (Germany)] [ESO, Karl-Schwarzschild-Strasse 2, D-85748 Garching bei Muenchen (Germany); Megeath, S. Thomas; Fischer, William J. [Department of Physics and Astronomy, University of Toledo, 2801 W. Bancroft Street, Toledo, OH 43606 (United States)] [Department of Physics and Astronomy, University of Toledo, 2801 W. Bancroft Street, Toledo, OH 43606 (United States); Ali, Babar; Furlan, Elise [NHSC/IPAC/Caltech, 770 S. Wilson Avenue, Pasadena, CA 91125 (United States)] [NHSC/IPAC/Caltech, 770 S. Wilson Avenue, Pasadena, CA 91125 (United States); Di Francesco, James [National Research Council of Canada, Herzberg Institute of Astrophysics, 5071 West Saanich Road, Victoria, BC V9E 2E7 (Canada)] [National Research Council of Canada, Herzberg Institute of Astrophysics, 5071 West Saanich Road, Victoria, BC V9E 2E7 (Canada); Hartmann, Lee [Department of Astronomy, University of Michigan, 830 Dennison Building, 500 Church Street, Ann Arbor, MI 48109 (United States)] [Department of Astronomy, University of Michigan, 830 Dennison Building, 500 Church Street, Ann Arbor, MI 48109 (United States); Osorio, Mayra [Instituto de Astrofisica de Andalucia, CSIC, Camino Bajo de Huetor 50, E-18008 Granada (Spain)] [Instituto de Astrofisica de Andalucia, CSIC, Camino Bajo de Huetor 50, E-18008 Granada (Spain); Wilson, Thomas L. [Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375 (United States)] [Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375 (United States); Allen, Lori [National Optical Astronomy Observatory, 950 North Cherry Avenue, Tucson, AZ 85719 (United States)] [National Optical Astronomy Observatory, 950 North Cherry Avenue, Tucson, AZ 85719 (United States); Manoj, P., E-mail: stutz@mpia.de [Department of Physics and Astronomy, 500 Wilson Boulevard, University of Rochester, Rochester, NY 14627 (United States)

2013-04-10T23:59:59.000Z

180

Through Voluntary Conservation Regional Step-Down Plan  

E-Print Network [OSTI]

II. Regional Overview..................................................................................................................... 3 Wetland Habitat Types............................................................................................................... 3 Coastal Upland Habitat Types................................................................................................... 4

unknown authors

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

A CENSUS OF STAR-FORMING GALAXIES AT z = 1-3 IN THE SUBARU DEEP FIELD  

SciTech Connect (OSTI)

Several UV and near-infrared color selection methods have identified galaxies at z = 1-3. Since each method suffers from selection biases, we have simultaneously applied three leading techniques (Lyman break, BX/BM, and BzK selection) in the Subaru Deep Field. This field has reliable ({Delta}z/(1 + z) = 0.02-0.09) photometric redshifts for {approx}53,000 galaxies from 20 bands (1500 A-2.2 {mu}m). The BzK, LBG, and BX/BM samples suffer contamination from z < 1 interlopers of 6%, 8%, and 20%, respectively. Around the redshifts where it is most sensitive (z {approx} 1.9 for star-forming BzK, z {approx} 1.8 for z {approx} 2 LBGs, z {approx} 1.6 for BM, and z {approx} 2.3 for BX), each technique finds 60%-80% of the census of the three methods. In addition, each of the color techniques shares 75%-96% of its galaxies with another method, which is consistent with previous studies that adopt identical criteria on magnitudes and colors. Combining the three samples gives a comprehensive census that includes {approx}90% of z{sub phot} = 1-3 galaxies, using standard magnitude limits similar to previous studies. In fact, we find that among z = 1-2.5 galaxies in the color selection census, 81%-90% of them can be selected by just combining the BzK selection with one of the UV techniques (z {approx} 2 LBG or BX and BM). The average galaxy stellar mass, reddening, and star formation rates (SFRs) all decrease systematically from the sBzK population to the LBGs, and to the BX/BMs. The combined color selections yield a total cosmic SFR density of 0.18 {+-} 0.03 M{sub sun} yr{sup -1} Mpc{sup -3} for K{sub AB} {approx}< 24. We find that 65% of the star formation is in galaxies with E(B - V) > 0.25 mag, even though they are only one-fourth of the census by number.

Ly, Chun; Malkan, Matthew A. [Department of Physics and Astronomy, UCLA, Box 951547, Los Angeles, CA (United States); Hayashi, Masao; Shimasaku, Kazuhiro [Department of Astronomy, School of Science, University of Tokyo, Bunkyo, Tokyo (Japan); Motohara, Kentaro [Institute of Astronomy, University of Tokyo, Mitaka, Tokyo (Japan); Kashikawa, Nobunari [Optical and Infrared Astronomy Division, National Astronomical Observatory, Mitaka, Tokyo (Japan); Nagao, Tohru [The Hakubi Project, Kyoto University, Kyoto (Japan); Grady, Celestine, E-mail: chunly@stsci.edu [Department of Applied Science, UC Davis, Davis, CA (United States)

2011-07-10T23:59:59.000Z

182

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

183

Regional CO2 and latent heat surface fluxes in the Southern Great Plains: Measurements, modeling, and scaling  

SciTech Connect (OSTI)

Characterizing net ecosystem exchanges (NEE) of CO{sub 2} and sensible and latent heat fluxes in heterogeneous landscapes is difficult, yet critical given expected changes in climate and land use. We report here a measurement and modeling study designed to improve our understanding of surface to atmosphere gas exchanges under very heterogeneous land cover in the mostly agricultural U.S. Southern Great Plains (SGP). We combined three years of site-level, eddy covariance measurements in several of the dominant land cover types with regional-scale climate data from the distributed Mesonet stations and Next Generation Weather Radar precipitation measurements to calibrate a land surface model of trace gas and energy exchanges (isotope-enabled land surface model (ISOLSM)). Yearly variations in vegetation cover distributions were estimated from Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index and compared to regional and subregional vegetation cover type estimates from the U.S. Department of Agriculture census. We first applied ISOLSM at a 250 m spatial scale to account for vegetation cover type and leaf area variations that occur on hundred meter scales. Because of computational constraints, we developed a subsampling scheme within 10 km 'macrocells' to perform these high-resolution simulations. We estimate that the Atmospheric Radiation Measurement Climate Research Facility SGP region net CO{sub 2} exchange with the local atmosphere was -240, -340, and -270 gC m{sup -2} yr{sup -1} (positive toward the atmosphere) in 2003, 2004, and 2005, respectively, with large seasonal variations. We also performed simulations using two scaling approaches at resolutions of 10, 30, 60, and 90 km. The scaling approach applied in current land surface models led to regional NEE biases of up to 50 and 20% in weekly and annual estimates, respectively. An important factor in causing these biases was the complex leaf area index (LAI) distribution within cover types. Biases in predicted weekly average regional latent heat fluxes were smaller than for NEE, but larger than for either ecosystem respiration or assimilation alone. However, spatial and diurnal variations of hundreds of W m{sup -2} in latent heat fluxes were common. We conclude that, in this heterogeneous system, characterizing vegetation cover type and LAI at the scale of spatial variation are necessary for accurate estimates of bottom-up, regional NEE and surface energy fluxes.

Riley, W. J.; Biraud, S.C.; Torn, M.S.; Fischer, M.L.; Billesbach, D.P.; Berry, J.A.

2009-08-15T23:59:59.000Z

184

COUP census of X-ray stars in BN-KL and OMC-1S  

E-Print Network [OSTI]

We present a study of the X-ray sources detected in the vicinity of two density peaks in the Orion Molecular Cloud 1 (OMC-1) behind the Orion Nebula Cluster (ONC), as seen in the exceptionally deep (~10 days) exposure of the Chandra Orion Ultradeep Project (COUP). We focus on a 40"*50" region around the Becklin-Neugebauer object and Kleinmann-Low nebula (collectively BN-KL) and a 60"*75" region around OMC-1S, a secondary star-forming peak some 90" south of BN-KL. Forty-three and sixty X-ray sources were detected in BN-KL and OMC-1S, respectively, of which half and one-third, respectively, were found to be foreground members of the ONC, while the remaining sources are identified as obscured X-ray sources with column densities 22stars rather than wind emission from massive stars, suggesting that the X-ray emission may be arising from companions. The X-ray light curve of the X-ray source close to BN shows a periodicity of ~8.3 days and from an X-ray image deconvolution of the region around BN, we conclude that either BN itself or a low mass companion with a projected separation of ~200 AU was detected. On the other hand, no emission is seen from the bright radio Source I, held by some to be the main source of luminosity in BN-KL. In OMC-1S, Chandra unveils a new subcluster of seven YSOs without infrared counterparts (abridged).

N. Grosso; E. D. Feigelson; K. V. Getman; L. Townsley; P. Broos; E. Flaccomio; M. J. McCaughrean; G. Micela; S. Sciortino; J. Bally; N. Smith; A. A. Muench; G. P. Garmire; F. Palla

2005-04-08T23:59:59.000Z

185

A SPITZER CENSUS OF STAR FORMATION ACTIVITY IN THE PIPE NEBULA  

SciTech Connect (OSTI)

The Pipe Nebula, a large nearby molecular cloud, lacks obvious signposts of star formation in all but one of more than 130 dust extinction cores that have been identified within it. In order to quantitatively determine the current level of star formation activity in the Pipe Nebula, we analyzed 13 deg{sup 2} of sensitive mid-infrared maps of the entire cloud, obtained with the Multiband Imaging Photometer for Spitzer at wavelengths of 24 mum and 70 mum, to search for candidate young stellar objects (YSOs) in the high-extinction regions. We argue that our search is complete for class I and typical class II YSOs with luminosities of L {sub bol} approx 0.2 L {sub sun} and greater. We find only 18 candidate YSOs in the high-extinction regions of the entire Pipe cloud. Twelve of these sources are previously known members of a small cluster associated with Barnard 59, the largest and most massive dense core in the cloud. With only six candidate class I and class II YSOs detected toward extinction cores outside of this cluster, our findings emphatically confirm the notion of an extremely low level of star formation activity in the Pipe Nebula. The resulting star formation efficiency for the entire cloud mass is only approx0.06%.

Forbrich, Jan; Lada, Charles J.; Muench, August A. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Alves, Joao [Calar Alto Observatory, Centro Astronomico Hispano Aleman, C/Jesus Durban Remon, 2-2, 04004 Almeria (Spain); Lombardi, Marco, E-mail: jforbrich@cfa.harvard.ed, E-mail: clada@cfa.harvard.ed, E-mail: amuench@cfa.harvard.ed, E-mail: jalves@caha.e, E-mail: mlombard@eso.or [European Southern Observatory, Karl-Schwarzschild-Str. 2, 85748 Garching (Germany)

2009-10-10T23:59:59.000Z

186

THE COS-HALOS SURVEY: RATIONALE, DESIGN, AND A CENSUS OF CIRCUMGALACTIC NEUTRAL HYDROGEN  

SciTech Connect (OSTI)

We present the design and methods of the COS-Halos survey, a systematic investigation of the gaseous halos of 44 z = 0.15-0.35 galaxies using background QSOs observed with the Cosmic Origins Spectrograph aboard the Hubble Space Telescope. This survey has yielded 39 spectra of z{sub em} ? 0.5 QSOs with S/N ?10-15 per resolution element. The QSO sightlines pass within 150 physical kpc of the galaxies, which span early and late types over stellar mass log M{sub *}/M{sub ?} = 9.5-11.5. We find that the circumgalactic medium exhibits strong H I, averaging ? 1 Å in Ly? equivalent width out to 150 kpc, with 100% covering fraction for star-forming galaxies and 75% covering for passive galaxies. We find good agreement in column densities between this survey and previous studies over similar range of impact parameter. There is weak evidence for a difference between early- and late-type galaxies in the strength and distribution of H I. Kinematics indicate that the detected material is bound to the host galaxy, such that ?> 90% of the detected column density is confined within ±200 km s{sup –1} of the galaxies. This material generally exists well below the halo virial temperatures at T ?< 10{sup 5} K. We evaluate a number of possible origin scenarios for the detected material, and in the end favor a simple model in which the bulk of the detected H I arises in a bound, cool, low-density photoionized diffuse medium that is generic to all L* galaxies and may harbor a total gaseous mass comparable to galactic stellar masses.

Tumlinson, Jason; Thom, Christopher; Sembach, Kenneth R. [Space Telescope Science Institute, Baltimore, MD (United States); Werk, Jessica K.; Prochaska, J. Xavier [UCO/Lick Observatory, University of California, Santa Cruz, CA (United States); Tripp, Todd M.; Katz, Neal; Meiring, Joseph D. [Department of Astronomy, University of Massachusetts, Amherst, MA (United States); Davé, Romeel [University of the Western Cape, South African Astronomical Observatories, and African Institute for Mathematical Sciences, Cape Town (South Africa); Oppenheimer, Benjamin D. [Leiden Observatory, Leiden University, 2300 RA Leiden (Netherlands); Ford, Amanda Brady [Steward Observatory, University of Arizona, Tucson, AZ (United States); O'Meara, John M. [Department of Chemistry and Physics, Saint Michael's College, Colchester, VT (United States); Peeples, Molly S. [Center for Galaxy Evolution, University of California Los Angeles, Los Angeles, CA (United States); Weinberg, David H. [Department of Astronomy, The Ohio State University, Columbus, OH (United States)

2013-11-01T23:59:59.000Z

187

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 +

188

Blood Types  

E-Print Network [OSTI]

Broadcast Transcript: According to the Japanese, you can tell a lot about a person by their blood type: Type A is the farmer, calm and responsible; Type B is the hunter, independent and creative; Type AB is humanistic, ...

Hacker, Randi; Tsutsui, William

2007-03-14T23:59:59.000Z

189

"Table HC11.10 Home Appliances Usage Indicators by Northeast...  

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

0 Home Appliances Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ," U.S. Housing Units (millions) " ,,,"Census...

190

Regional Purchasing  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

191

A near-infrared census of the multi-component stellar structure of early-type dwarf galaxies in the Virgo cluster  

E-Print Network [OSTI]

The fraction of star-forming to quiescent dwarf galaxies varies from almost infinity in the field to zero in the centers of rich galaxy clusters. What is causing this pronounced morphology-density relation? What do quiescent dwarf galaxies look like when studied in detail, and what conclusions can be drawn about their formation mechanism? Here we study a nearly magnitude-complete sample (-19 deep near-infrared images from the SMAKCED project. We fit two-dimensional models with optional inner and outer components, as well as bar and lens components (in ~15% of the galaxies), to the galaxy images. While a single S\\'ersic function may approximate the overall galaxy structure, it does not entirely capture the light distribution of two-thirds of our galaxies, for which multi-component models provide a better fit. This fraction of complex galaxies shows a strong dependence on luminosity, being larger for brighter objects. We analyze the global and compone...

Janz, J; Lisker, T; Salo, H; Peletier, R F; Niemi, S -M; Toloba, E; Hensler, G; Falcón-Barroso, J; Boselli, A; Brok, M den; Hansson, K S A; Meyer, H T; Ry?, A; Paudel, S

2013-01-01T23:59:59.000Z

192

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

193

Louisiana Census Snapshot: 2010  

E-Print Network [OSTI]

City New Orleans Same-sex couples (adjusted) Same-sex couples per 1,000 households (adjusted) Lafayette Baton Rouge Lake Charles

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

194

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

195

Census Snapshot: Washington  

E-Print Network [OSTI]

households in the state. King County reported the most same-of same-sex couples are King County (1.09% of all county

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

2008-01-01T23:59:59.000Z

196

Census Snapshot: Virginia  

E-Print Network [OSTI]

City Isle of Wight County James City County King andQueen County KingGeorge County King William County Lancaster County Lee

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

2008-01-01T23:59:59.000Z

197

THE CENSUS OF 1930  

Science Journals Connector (OSTI)

...of California, to a site not yet selected, to...at-mnosphere. THE ELECTROLYTIC PRODUCTION OF FLUORINE FLUORINE...that do not react to electricity. Fluorine, however...cities such as Chicago, Kansas City, Syracuse, Denver...prehistoric animals at the same site, also announces a discovery...

1929-06-07T23:59:59.000Z

198

Census Snapshot: Connecticut  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

199

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

200

Enforcement Policy Statement: Compliance Period for Regional...  

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

energy conservation standards for residential furnaces, central air conditioners, and heat pumps, including regional standards for different product types in indicated States....

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

Type Fusion  

Science Journals Connector (OSTI)

Fusion is an indispensable tool in the arsenal ... Less well-known, but equally valuable is type fusion, which states conditions for fusing an application ... algebra. We provide a novel proof of type fusion base...

Ralf Hinze

2011-01-01T23:59:59.000Z

202

CAPITAL REGION  

Broader source: Energy.gov (indexed) [DOE]

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

203

Figure 1.-Map of McGregor Range, Fort Bliss Military Base depicting the locations of trapping census lines (closed circles) utilized in this study. Numbers refer to census lines 1-24, which are described in Table  

E-Print Network [OSTI]

, grama grassland, and nonstabilized sand dune) identified on the Fort Bliss Military Base. Small mammal 1998. #12;CHECKLIST OF MAMMALs FROM TWELVE IlABITAT TYPES AT FORT BLISS MILITARY BASE; 1997. LOCKE, ROBERTJ. BAKER, AND ROBERTD. BRADLEY The Fort Bliss Military Base is located in Dona Afia

Baker, Robert J.

204

Human Immunodeficiency Virus Type 1 Gag Polyprotein Multimerization Requires the Nucleocapsid Domain and RNA and Is Promoted by the Capsid-Dimer Interface and the Basic Region of Matrix Protein  

Science Journals Connector (OSTI)

...Analysis of the three-dimensional structure of a protein fragment...identified a hydrophobic dimer interface (). In the context of an...wild-type provirus, the dimer interface mutants are associated with...the affinity of the dimer interface is not very high (), and...

Mark T. Burniston; Andrea Cimarelli; John Colgan; Sean P. Curtis; Jeremy Luban

1999-10-01T23:59:59.000Z

205

Melanin Types  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

206

Spatial Data Types: Conceptual Foundation for  

E-Print Network [OSTI]

Spatial Data Types: Conceptual Foundation for the Design and Implementation of Spatial Database markus.schneider@fernuni-hagen.de #12;Markus Schneider, Tutorial "Spatial Data Types" 2 Abstract Spatial are usually called spatial data types, such as point, line, and region but also include more complex types

Güting, Ralf Hartmut

207

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

2014-03-18T23:59:59.000Z

208

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

209

Region 9: Pacific Rim Region, Regional Sustainability Plan  

Broader source: Energy.gov (indexed) [DOE]

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

210

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":""}]}

211

State & Regional Resources  

Broader source: Energy.gov [DOE]

The Bioenergy Technologies Office partners with the National Biomass State and Regional Partnerships' five regional organizations that provide leadership in their regions with regard to policies...

212

Regional Summary Pacific Region Management Context  

E-Print Network [OSTI]

, for the Eastern Pacific Ocean, and the Western and Central Pacific Fishery Commission, for the Western PacificRegional Summary Pacific Region Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

213

Elimination of GeO(2) And Ge(3)N(4) Interfacial Transition Regions And Defects at N-Type Ge Interfaces: a Pathway for Formation of N-MOS Devices on Ge Substrates  

SciTech Connect (OSTI)

The contribution from relatively low-K SiON interfacial transition regions (ITRs) between Si and transition metal (TM) gate dielectrics places a significant limitation on equivalent oxide thickness (EOT) scaling for Si complementary metal-oxide-semiconductor (CMOS) devices. This limitation is equally significant and limiting for Ge CMOS devices. Low-K Ge-based ITRs in Ge devices have also been shown to limit performance and reliability, particular for n-MOS field effect transistors. This article identifies the source of significant electron trapping at interfaces between n-Ge or inverted p-Ge, and Ge oxide, nitride and oxynitride ITRs. This is shown to be an interfacial band alignment issue in which native Ge ITRs have conduction band offset energies smaller than those of TM dielectrics, and trap electrons for negative Ge substrate bias. This article also describes a novel remote plasma processing approach for effectively eliminating any significant native Ge ITRs and using a plasma-processing/annealing process sequence for bonding TM gate dielectrics directly to the Ge substrate surface.

Lucovsky, G.; Lee, S.; Long, J.P.; Seo, H.; Luning, J.

2009-05-19T23:59:59.000Z

214

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

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

215

Type: Renewal  

Broader source: Energy.gov (indexed) [DOE]

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

216

Bacteria Types  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

217

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

218

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

219

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...

220

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

Claeys, Philippe

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

2014 REGIONAL ECONOMIC OUTLOOK  

E-Print Network [OSTI]

2014 REGIONAL ECONOMIC OUTLOOK #12;2014 REGIONAL ECONOMIC OUTLOOK 2014 Overview The Cincinnati USA Partnership for Economic Development and the Northern Kentucky Chamber of Commerce are pleased to present the 2014 Regional Economic Outlook. This report was prepared by the Cincinnati USA Partnership's Regional

Boyce, Richard L.

222

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

223

Census Snapshot: New York City  

E-Print Network [OSTI]

CITY AUGUST 2008 BROOKLYN (KINGS COUNTY) In 2000, there werecounty Borough/County Bronx Brooklyn (Kings) Manhattan (Neweach Borough/County children borough Bronx Brooklyn (Kings)

Romero, Adam P.; Gates, Gary J

2008-01-01T23:59:59.000Z

224

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

Broader source: Energy.gov (indexed) [DOE]

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

225

A Region Thesaurus Approach for High-Level Concept Detection in the Natural Disaster Domain  

Science Journals Connector (OSTI)

This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from ... This set of region types defines the region thesaurus. Using this thesaurus

Evaggelos Spyrou; Yannis Avrithis

2007-01-01T23:59:59.000Z

226

" Million Housing Units, Final...  

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

1 Space Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

227

" Million Housing Units, Final...  

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

0 Household Demographics of Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

228

" Million Housing Units, Final...  

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

0 Fuels Used and End Uses in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

229

" Million Housing Units, Final...  

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

1 Household Demographics of Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

230

" Million Housing Units, Final...  

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

HC.1.11 Fuels Used and End Uses in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census...

231

" Million Housing Units, Final...  

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

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

232

" Million Housing Units, Final...  

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

8 Space Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

233

" Million Housing Units, Final...  

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

9 Household Demographics of Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

234

" Million Housing Units, Final...  

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

9 Space Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" " ",,,"East North Central Census...

235

" Million Housing Units, Final...  

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

9 Fuels Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

236

Virginia Regional Industrial Facilities Act (Virginia) | Department of  

Broader source: Energy.gov (indexed) [DOE]

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

237

Hidden Innovation: A Reconsideration of An 'Old Economy' Industry in a 'New Economy' Region  

E-Print Network [OSTI]

BLS Occupational Employment Statistics (OES) 2006 US CensusBLS Occupational Employment Statistics (OES) 2006 CA EDDU.S. business and employment statistics. On the one hand,

Chiang, Lifang

2008-01-01T23:59:59.000Z

238

Western Regional Partnership Overview  

Broader source: Energy.gov (indexed) [DOE]

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

239

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,

240

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/

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

About Rocky Mountain Region  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Rates About the Rocky Mountain Region RM Office The Platte River Power Authority in Colorado, Nebraska Public Power District, Kansas Electric Power Cooperative and Wyoming...

242

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":""}]}

243

HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM  

E-Print Network [OSTI]

to serve as "go-to" organization to catalyze PA Hydrogen and Fuel Cell Economy development #12;FundingHYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA Melissa Klingenberg, PhDMelissa Klingenberg, PhD #12;Hydrogen ProgramHydrogen Program Air Products

244

Regional Analysis Briefs  

Reports and Publications (EIA)

Regional Analysis Briefs (RABs) provide an overview of specific regions that play an important role in world energy markets, either directly or indirectly. These briefs cover areas that are currently major producers (Caspian Sea), have geopolitical importance (South China Sea), or may have future potential as producers or transit areas (East Africa, Eastern Mediterranean).

2028-01-01T23:59:59.000Z

245

Regional Competitions - EERE Commercialization Office  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regional Competitions Six Regional Clean Energy Business Plan Competitions are taking place across the country- representing all of the United States' distinct regions. The...

246

Alternative Fuels Data Center: Regional Climate Change Initiative  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

247

Regional Planning | Data.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

248

the Regional Development Corporation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

249

Types of Commissioning  

Broader source: Energy.gov [DOE]

Several commissioning types exist to address the specific needs of equipment and systems across both new and existing buildings. The following commissioning types provide a good overview.

250

Granuloma annulare, patch type  

E-Print Network [OSTI]

Granuloma annulare, patch type Frank C Victor MD, Stephaniewas consistent with patch-type granuloma annulare. He wascm, annular, erythematous patch without scale was present on

Victor, Frank C; Mengden, Stephanie

2008-01-01T23:59:59.000Z

251

Regional and Global Data  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

252

Regional Districts (Texas)  

Broader source: Energy.gov [DOE]

Adjacent Water Control and Improvement Districts and Municipal Utility Districts can opt to form a Regional District to oversee water issues. Such districts may be created:(1) to purchase, own,...

253

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable) costs apply

Boisvert, Jeff

254

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408 ­ off-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable

Boisvert, Jeff

255

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":""}]}

256

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":""}]}

257

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":""}]}

258

Regional 166 Direct Loan (Ohio) | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

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

259

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,

260

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,

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

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)

262

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

263

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

264

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

265

Regional White Matter and Neuropsychological Functioning across the Adult Lifespan  

E-Print Network [OSTI]

Regional White Matter and Neuropsychological Functioning across the Adult Lifespan Adam M. Brickman (MRI) to more fully elucidate the relationship among age, regional white matter, and neuropsychological neuropsychological assessment. MR images were spatially normalized and segmented by tissue type; relative white

266

SEEC- Regional Energy Baselines and Measurement and Verification Protocols  

E-Print Network [OSTI]

is to demonstrate the usability of public-available data such as the U.S. 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..., and Virginia); the raw data have been downloaded from the following websites: the U.S. DOE EIA website1; and the U.S. Census Bureau website2. Appendix A and B present the detailed information of data sets that have been used for this subtask, including...

Kim, H.; Haberl, J. S.; Verdict, M.

267

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"

268

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

269

"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"

270

Northeast Region Standardized Bycatch  

E-Print Network [OSTI]

Flexibility Act Assessment, and a Regulatory Impact Review June 2007 Prepared by the New England Fishery Management Plans of the Mid-Atlantic and New England Regional Fishery Management Councils June 2007 #12;This Management Plan (FMP); Amendment 2 to the Atlantic Herring FMP; Amendment 2 to the Atlantic Salmon FMP

271

architecture architecture urban & regional  

E-Print Network [OSTI]

in architectural design, history, building construction, structures, and environmental technology from ourlandscape architecture architecture urban & regional planning environment + design college of fine-disciplinary studies. 18-to-1 Student-Teacher Ratio You'll enjoy individual, one-on-one attention in your architecture

Hwu, Wen-mei W.

272

Types of Hydropower Plants  

Broader source: Energy.gov [DOE]

There are three types of hydropower facilities: impoundment, diversion, and pumped storage. Some hydropower plants use dams and some do not. The images below show both types of hydropower plants.

273

Typing aspects for MATLAB  

Science Journals Connector (OSTI)

The MATLAB programming language is heavily used in many scientific and engineering domains. Part of the appeal of the language is that one can quickly prototype numerical algorithms without requiring any static type declarations. However, this lack of ... Keywords: MATLAB, dynamic type assertions, typing aspects

Laurie Hendren

2011-03-01T23:59:59.000Z

274

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 +

275

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

276

Interaction Region Papers  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

277

Regional University Alliance  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

278

Northwest Regional Meeting  

Science Journals Connector (OSTI)

Northwest Regional Meeting ... Organizers are planning symposia on instrumental experiments in the general chemistry laboratory, active learning in chemical education, bio-based products, environmental molecular sciences laboratory user research, green chemistry, Hanford site analytical chemistry, management of the chemical enterprise, noninvasive diagnostics, radioisotopes and radiopharmaceuticals, semiconductor materials, the chemistry of advanced nuclear systems, thermodynamic models in geochemistry, sensors and sensor technology, women in chemistry, agricultural and public health protection chemistry, and public response to chemical exposure emergencies. ...

2007-02-12T23:59:59.000Z

279

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":""}]}

280

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

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

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)

282

The Complete Census of 70-um-Bright Debris Disks within the FEPS (Formation and Evolution of Planetary Systems) Spitzer Legacy Survey of Sun-like Stars  

E-Print Network [OSTI]

(abbreviated) We report detection with the Spitzer Space Telescope of cool dust surrounding solar type stars. The observations were performed as part of the Legacy Science Program, ``Formation and Evolution of Planetary Systems'' (FEPS). From the overall FEPS sample (Meyer et al. 2006) of 328 stars having ages ~0.003-3 Gyr we have selected sources with 70 um flux densities indicating excess in their spectral energy distributions above expected photospheric emission........ .....The rising spectral energy distributions towards - and perhaps beyond - 70 um imply dust temperatures T_dust temperature, location, fractional luminosity, and mass of the dust from fitted single temperature blackbody models. For >1/3 of the debris sources we find that multiple temperature components are suggested, implying a spatial distribution of dust extending over many tens of AU. Because the disks are dominated by collisional processes, the parent body (planetesimal) belts may be extended as well. Preliminary assessment of the statistics of cold debris around sun-like stars shows that ~10% of FEPS targets with masses between 0.6 and 1.8 Msun and ages between 30 Myr and 3 Gyr exhibit 70 um emission in excess of the expected photospheric flux density. We find that fractional excess amplitudes appear higher for younger stars and that there may be a trend in 70 um excess frequency with stellar mass.

Lynne A. Hillenbrand; John M. Carpenter; Jinyoung Serena Kim; Michael R. Meyer; Dana E. Backman; Amaya Moro-Martin; David J. Hollenbach; Dean C. Hines; Ilaria Pascucci; Jeroen Bouwman

2007-12-30T23:59:59.000Z

283

Spitzer IRAC and MIPS Imaging of Clusters and Outflows in 9 High-mass Star Forming Regions  

E-Print Network [OSTI]

We present Spitzer Space Telescope IRAC and MIPS observations toward a sample of nine high-mass star forming regions at a distance of around 2 kpc. Based on IRAC and MIPS 24 $\\mu$m photometric results and 2MASS JHKs data, we carry out a census of young stellar objects (YSOs) in a 5' by 5' field toward each region. Toward seven out of the nine regions, we detect parsec sized clusters with around 20 YSOs surrounded by a more extended and sparse distribution of young stars and protostars. For the other two regions, IRAS 20126+4104 and IRAS 22172+5549, the former has the lowest number of YSOs in the sample and shows no obvious cluster, and the latter appears to be part of a larger, potentially more evolved cluster. The deep IRAC imaging reveals at least twelve outflows in eight out of the nine regions, with nine outflows prominent in the 4.5 $\\mu$m band most probably attributed to shocked H$_2$ emission, two outflows dominated by scattered light in the 3.6 and 4.5 $\\mu$m bands, and one outflow standing out from its hydrocarbon emission in the 8.0 $\\mu$m band. In comparison with previous ground-based observations, our IRAC observations reveal new outflow structures in five regions. The dramatically different morphologies of detected outflows can be tentatively interpreted in terms of possible evolution of massive outflows. The driving sources of these outflows are deeply embedded in dense dusty cores revealed by previous millimeter interferometric observations. We detect infrared counterparts of these dusty cores in the IRAC or MIPS 24 $\\mu$m bands. Reflection nebulae dominated by the emission from UV heated hydrocarbons in the 8 $\\mu$m band can be found in most regions and they may imply the presence of young B stars.

Keping Qiu; Qizhou Zhang; S. Thomas Megeath; Robert A. Gutermuth; Henrik Beuther; Debra S. Shepherd; T. K. Sridharan; L. Testi; C. G. De Pree

2008-06-16T23:59:59.000Z

284

Pennsylvania Regional Infrastructure Project  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

285

Regional Energy Baseline  

E-Print Network [OSTI]

ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

Kim, H.; Baltazar, J.C.; Haberl, J.

286

Rock types, pore types, and hydrocarbon exploration  

SciTech Connect (OSTI)

A proposed exploration-oriented method of classifying porosity in sedimentary rocks is based on microscopic examination cores or cuttings. Factors include geometry, size, abundance, and connectivity of the pores. The porosity classification is predictive of key petrophysical characteristics: porosity-permeability relationships, capillary pressures, and (less certainly) relative permeabilities. For instance, intercrystalline macroporosity typically is associated with high permeability for a given porosity, low capillarity, and favorable relative permeabilities. This is found to be true whether this porosity type occurs in a sucrosic dolomite or in a sandstone with pervasive quartz overgrowths. This predictive method was applied in three Rocky Mountain oil plays. Subtle pore throat traps could be recognized in the J sandstone (Cretaceous) in the Denver basin of Colorado by means of porosity permeability plotting. Variations in hydrocarbon productivity from a Teapot Formation (Cretaceous) field in the Powder River basin of Wyoming were related to porosity types and microfacies; the relationships were applied to exploration. Rock and porosity typing in the Red River Formation (Ordovician) reconciled apparent inconsistencies between drill-stem test, log, and mud-log data from a Williston basin wildcat. The well was reevaluated and completed successfully, resulting in a new field discovery. In each of these three examples, petrophysics was fundamental for proper evaluation of wildcat wells and exploration plays.

Coalson, E.B.; Hartmann, D.J.; Thomas, J.B.

1985-05-01T23:59:59.000Z

287

Sierra Nevada Region  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

288

The Chimalapas Region, Oaxaca, Mexico: a high-priority region for bird conservation in Mesoamerica  

E-Print Network [OSTI]

have been few (Binford 1989). Aside from occasional collecting by W. B. Richardson at the end of the nineteenth century (specimens principally at the British Museum), and intensive collecting in the mid-twentieth century near Sarabia and Matias Romero... scienti?c collections in North America and Europe (Peterson et al. 1998b). For Oaxaca east of Matias Figure 2. Vegetation types in the Selva Zoque priority region of the Chimalapas, Mexico. Data from http://www.conabio.gob.mx. The Chimalapas Region, Oaxaco...

Peterson, A. Townsend; Navarro-Sigü enza, Adolfo G.; Herná ndez-Bañ os, Blanca E.; Escalona-Segura, Griselda; Rebó n-Gallardo, Fanny; Rodrí guez-Ayala, Emir; Figueroa-Esquivel, Elsa M.; Cabrera-Garcí a, Leonardo

2003-01-01T23:59:59.000Z

289

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 Regional GHG Emissions ­ Status June 4, 2013 Gillian Charles A few clarifications This presentation and ½ Valmy coal plants) 2 #12;6/5/2013 2 GHG Emissions by Economic Sector in the Pacific Northwest (2010

290

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 Regional GHG Emissions ­ Outlook June 4, 2013 Steven Simmons CO2 Emission Outlook for the Pacific NW (ID MW Centralia 1 Centralia WA 1972 2020 730 MW Centralia 2 Centralia WA 1973 2025 730 MW 5 GHG Emission

291

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,

292

Northwestern Indiana Regional Planning Commission (Indiana) | Department of  

Broader source: Energy.gov (indexed) [DOE]

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

293

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

294

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

295

Americas Region Partnerships and Projects  

Office of Energy Efficiency and Renewable Energy (EERE)

The Office of Energy Efficiency and Renewable Energy (EERE) engages in the Americas through regional partnerships, as well as bilaterally with individual countries. In addition to the regional and...

296

Regional air quality in the Four Corners study region  

SciTech Connect (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

297

Regional Summary Pacific Management Context  

E-Print Network [OSTI]

. Bocaccio, Pacific ocean perch, cowcod, and darkblotched and widow rockfish are currently in rebuildingRegional Summary Pacific Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

298

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":""}]}

299

Document Type: Subject Terms  

E-Print Network [OSTI]

Title: Authors: Source: Document Type: Subject Terms: Abstract: Full Text Word Count: ISSN the department back on track. The action is to call a meeting of the team leaders and stress the urgency o

Major, Arkady

300

Type I Tanks  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

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

Jansen type of spondylometaphyseal dysplasia  

Science Journals Connector (OSTI)

Metaphyseal dysplasia, type Jansen (JMD), is a rare skeletal dysplasia ... we propose the term spondylometaphyseal dysplasia, type Jansen.

J. B. Campbell; Kazimierz Kozlowski; Tadeusz Lejman; J. Sulko

2000-04-01T23:59:59.000Z

302

Regional Partnerships | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

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

303

Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic  

E-Print Network [OSTI]

Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic Growth in India* Jeffrey D. Sachs Director The Earth Institute at Columbia_ramiah@yahoo.co.uk Asian Economic Papers 1:3 © 2002 The Earth Institute at Columbia University and the Massachusetts

304

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":""}]}

305

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":""}]}

306

Appendix B Sierra Nevada Region Customer Groups and Economic Regions  

Broader source: Energy.gov (indexed) [DOE]

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

307

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

308

Southeast Texas Region Regional Public Transportation Coordination Plan  

E-Print Network [OSTI]

in the southeast Texas region include local, regional, and state entities that provide transportation, medical, workforce, and aging and disability assistance services. The SETRPC acts as the lead planning partner for the southeast Texas region. Established... opportunities for Texas Workforce Development Board clientele. Operational Projects Several of the recommendations already listed provide means to explore, plan, and implement improvements that will enhance the operational effectiveness of the transit...

Southeast Texas Regional Planning Commission

309

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

310

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}~"

311

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

312

Gainesville Regional Utilities - Business Energy Efficiency Rebate Program  

Broader source: Energy.gov (indexed) [DOE]

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

313

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

314

Types of quantum information  

Science Journals Connector (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

2007-12-21T23:59:59.000Z

315

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

316

Lake Region Electric Cooperative - Residential Energy Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

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

317

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

Broader source: Energy.gov (indexed) [DOE]

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

318

Gainesville Regional Utilities- Low-Interest Energy Efficiency Loan Program  

Broader source: Energy.gov (indexed) [DOE]

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

319

Low-Level Radioactive Waste Disposal Regional Facility Act (Pennsylvania) |  

Broader source: Energy.gov (indexed) [DOE]

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

320

Census of Tribal Justice Agencies in Indian  

E-Print Network [OSTI]

of Steven K. Smith. Mark Motivans provided the statistical review. Also at BJS, Thomas Cohen, Matthew Hickman, and Stephanie Ross commented on drafts of the report. Tina Dorsey, Tom Hester and Marianne Zawitz

Hemmers, Oliver

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

The `CensUS' Dear students  

E-Print Network [OSTI]

residents will receive instructions from their facilities' staff. You will not be included on your parents' form unless your full-time residence as of April 1 is with your parents. It's essential everyone," speaker Randall Murch, 7:30 p.m., Pugh Ocora. March 6- 13 Spring break. March 16 "A Lost Tang Ico

Pilyugin, Sergei S.

322

Census 2000 Demographic Profiles Allegheny County Municipalities  

E-Print Network [OSTI]

Township Emsworth Etna Fawn Findlay Forest Hills Forward Fox Chapel Franklin Park Frazer Glassport Heights Bethel Park Blawnox Brackenridge Braddock Braddock Hills Bradfordwoods Brentwood Bridgeville Oakdale Oakmont O'Hara Ohio Osborne Penn Hills Pennsbury Village Pine Pitcairn Pittsburgh City Pleasant

Sibille, Etienne

323

" 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;"...

324

" 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;" "...

325

" 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;" "...

326

WINDExchange: About Regional Resource Centers  

Wind Powering America (EERE)

Development Siting About Regional Resource Centers Significant expansion of wind energy deployment will be required to achieve the President's goal of doubling renewable...

327

Coordinated Regional Public Transportation Plan: Heart of Texas Region  

E-Print Network [OSTI]

Coordinated Regional Public Transportation Plan Heart of Texas Region Bosque, Falls, Freestone, Hill, Limestone & McLennan Counties December 1, 2006 TABLE OF CONTENTS Acknowledgements... of Texas Council of Governments (HOTCOG) and the McLennan County Youth Collaboration (MCYC) ---21 Central Texas Senior Ministries (CTSM), Hill County Transit (HCT) and Scott and White (S&W) Medical Facilities...

Heart of Texas Council of Governments

2006-12-01T23:59:59.000Z

328

Fusion systems of -type  

Science Journals Connector (OSTI)

We prove results on 2-fusion systems related to the 2-fusion systems of groups of Lie type over the field of order 2 and certain sporadic groups. The results are used in a later paper to determine the N-systems: the 2-fusion systems of N-groups.

Michael Aschbacher

2013-01-01T23:59:59.000Z

329

Pruning Simply Typed -terms  

Science Journals Connector (OSTI)

......looking for the smallest pout > r /) 6out > //_ gout > B,, c/) pout > p such that: pout...and pout h ^out . Bout b y minimaiKy o f tout gout pout w e deduce; 6out gout gout^ pout < pout Pruning Simply Typed A-terms......

STEFANO BERARDI

1996-10-01T23:59:59.000Z

330

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

331

Market Statistics Northern Colorado Region  

E-Print Network [OSTI]

Market Statistics RE Northern Colorado Region #12;©2013 Everitt Real Estate Center, All Rights. The EREC Market Statistics for the Northern Colorado region details historical closing and inventory trends. The EREC Market Statistics report is available for download at http

332

NORTHEAST REGIONAL REFINED PETROLEUM PRODUCT RESERVE | Department...  

Broader source: Energy.gov (indexed) [DOE]

NORTHEAST REGIONAL REFINED PETROLEUM PRODUCT RESERVE NORTHEAST REGIONAL REFINED PETROLEUM PRODUCT RESERVE The Northeast region of the U.S. is particularly vulnerable to gasoline...

333

Regional Energy Efficiency Programs | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Regional Energy Efficiency Programs Regional Energy Efficiency Programs This presentation covers regional industrial energy efficiency programs in the Midwest, Southeast, and...

334

Regional Science Bowl | netl.doe.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regional Science Bowl West Virginia Regional Site SWPA Regional Site The U.S. Department of Energy (DOE) National Science Bowl is a nationwide academic competition that tests...

335

WINDExchange: Wind Energy Regional Resource Centers  

Wind Powering America (EERE)

Bookmark and Share Regional Resource Centers About Economic Development Siting Wind Energy Regional Resource Centers The U.S. Department of Energy's Regional Resource Centers...

336

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":""}]}

337

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":""}]}

338

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

339

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

340

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

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

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 +

342

Annual training event instrumental in region’s safety culture  

Broader source: Energy.gov [DOE]

OREM is participating in Safety Fest Tennessee. The annual event provides training on important safety disciplines that are helping local workers create one of the safest workplaces in the region.

343

Apparatus for tensile testing plate-type ceramic specimens  

DOE Patents [OSTI]

Apparatus is described for gripping a plate-type tensile specimen having generally T-shaped end regions in a dynamic tension fatigue testing apparatus comprising an annular housing having an open-ended elongated cavity therein, a plurality of hydraulic piston means supported by the housing in a spaced array about the cavity, and a specimen-supporting plate means overlying the piston means at one end of the elongated cavity and displaceable by said piston means in a longitudinal direction with respect to the longitudinal axis of the cavity, said apparatus for gripping a flat plate-type tensile specimen comprising: a pair of elongated pull rods each having oppositely disposed first and second end regions; a pair of mounting means carried by said plate means with each mounting means for pivotally attaching the first end region of each of said pull rods in a central region of said plate means for supporting said pair of elongated pull rods in a side-by-side relationship along a common longitudinal centerline within said cavity; recess means in the second end region of each of said pull rods in adjacently disposed surface regions thereof with said recess means facing one another and each adapted to receive one side of one of the generally T-shaped end regions of the plate-type tensile specimen; and load-bearing means positionable in each of said recess means and adapted to bear against a shoulder on each side of the generally T-shaped end region of the plate-type tensile specimen when a tensile loading is applied thereon.

Liu, K.C.

1993-08-24T23:59:59.000Z

344

Indonesia Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Indonesia Geothermal Region Retrieved from "http:en.openei.orgwindex.php?titleIndonesiaGeothermalRegion&oldid706190...

345

China Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

China Geothermal Region Retrieved from "http:en.openei.orgwindex.php?titleChinaGeothermalRegion&oldid70619...

346

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

347

Rate types for stream programs  

Science Journals Connector (OSTI)

We introduce RATE TYPES, a novel type system to reason about and optimize data-intensive programs. Built around stream languages, RATE TYPES performs static quantitative reasoning about stream rates -- the frequency of data items in a stream being ... Keywords: data processing rates, data throughput, performance reasoning, stream programming, type systems

Thomas W. Bartenstein, Yu David Liu

2014-10-01T23:59:59.000Z

348

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)

349

Urban and Regional Air Quality  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

350

RAFT Regional Algal Feedstock Testbed  

Broader source: Energy.gov [DOE]

Breakout Session 3B—Integration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

351

Anomalous Emission from HII regions  

E-Print Network [OSTI]

Spinning dust appears to be the best explanation for the anomalous emission that has been observed at $\\sim 10-60$ GHz. One of the best examples of spinning dust comes from a HII region in the Perseus molecular cloud. Observations of other HII regions also show tentative evidence for excess emission at frequencies $\\sim 30$ GHz, although at lower emissivity levels. A new detection of excess emission at 31 GHz in the HII region RCW175 has been made. The most plausible explanation again comes from spinning dust. HII regions are a good place to look for spinning dust as long as accurate radio data spanning the $\\sim 5-100$ GHz range is available.

C. Dickinson

2008-08-04T23:59:59.000Z

352

Regional and Global Data in Mercury, December 2000  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

353

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

354

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]

355

Gainesville Regional Utilities - Solar Feed-In Tariff | Department of  

Broader source: Energy.gov (indexed) [DOE]

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

356

Regional  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

357

" 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

358

" 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

359

Texas State Planning Region 3 Report of Regional Transportation Coordination  

E-Print Network [OSTI]

Coordination Plan- Current Projects 28 Profile Summary- TTI Survey 30 Regional Transportation Coordination Committee 33 Resources 35 Attachments ? Maps and Demographic Information Texas State Planning Region 3 Page 2 Executive....78 10-14 16,238 7.24 Texas State Planning Region 3 Page 12 Age Number Percent 15-19 19,219 8.56 20-24 16,087 7.17 25-34 27,639 12.32 35-44 33,873 15.10 45-54 27,479 12.25 55-59 10,658 4.75 60-64 9,630 4.29 65-74 17,674 7.88 75-84 11,422 5...

Nortex Regional Planning Commission

2006-12-01T23:59:59.000Z

360

Rank Sites by Building Type and Location for Greenhouse Gas Mitigation |  

Broader source: Energy.gov (indexed) [DOE]

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

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

Latitude Distribution of Interplanetary Magnetic Field Lines Rooted in Active Regions  

Science Journals Connector (OSTI)

Electrons, accelerated in solar active regions to ? 10 keV, escape along open magnetic field lines and generate plasma radiation (Type III bursts ... Here we describe the latitude distribution of the field lines ...

G. A. Dulk; J. L. Steinberg; S. Hoang…

1986-01-01T23:59:59.000Z

362

Regional Transmission Projects: Finding Solutions  

SciTech Connect (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

363

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

364

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

365

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":""}]}

366

Bioenergy Sustainability at the Regional Scale  

SciTech Connect (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

367

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

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

368

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

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

369

" Million Housing Units, Final...  

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

7 Space Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Space...

370

State solar legislative enactments in the SSEC region. Volume I  

SciTech Connect (OSTI)

An extensive compilation and review of all solar legislation identified in the Southern Solar Energy Center (SSEC) region are presented. The types of laws identified have been placed in eleven categories: income tax, property tax, sales/use tax, loan/grant, access/zoning, building standards, solar standards, research, state buildings, alcohol fuels (including gasohol), and other. In the individual state review sections, all laws identified for a state are briefly summarized and placed within a standard category. The SSEC region includes: Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, Puerto Rico, South Carolina, Tennessee, Texas, Virginia, Virgin Islands, and West Virginia. (MHR)

Fenner, M.F.; Bailey, B.L.; Brun, R.A. (comps.)

1980-10-01T23:59:59.000Z

371

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

372

Southeast Regional Carbon Sequestration Partnership  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

373

Attributive types for proof erasure  

Science Journals Connector (OSTI)

Proof erasure plays an essential role in the paradigm of programming with theorem proving. In this paper, we introduce a form of attributive types that carry an attribute to determine whether expressions assigned such types are eligible for erasure before ...

Hongwei Xi

2007-05-01T23:59:59.000Z

374

West Central Texas Regional Transportation Final Report  

E-Print Network [OSTI]

Counties 1 Chapter 3 ? Service Provider Profiles and Capabilities 55 Chapter 4 - Existing Regional Coordination 98 SECTION 2 - REGIONAL SERVICE COORDINATION PLANNING Planning Process and Work Plan... and Objectives 113 Chapter 2 ? Regional Transportation Gaps 114 Chapter 3 ? Barriers and Obstacles 122 Chapter 4 - Findings and Recommendations 145 APPENDICES Appendix A - Regional Inventory 174 Appendix B - Regional...

West Central Texas Council of Governments

375

Saskatchewan's Regional Colleges: Towards a New System  

E-Print Network [OSTI]

Saskatchewan's Regional Colleges: Towards a New System ReGional ColleGe Review FiNal RepoRT · Ma and any other matters concerning the Act. There are seven regional colleges in Saskatchewan: Carlton TrailVieW CHaiR Saskatchewan's Regional Colleges: Towards a New System #12;ReGional ColleGe Review 2010 Fi

Saskatchewan, University of

376

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

377

Multi-peak solution for nonlinear magnetic Choquard type equation  

SciTech Connect (OSTI)

In this paper, we study a class of nonlinear magnetic Choquard type equation involving a magnetic potential and nonlocal nonlinearities. By using the method of penalization argument, we show that there exists a family of solutions having multiple concentration regions which are concentrate at the minimum points of potential V.

Sun, Xiaomei, E-mail: xmsunn@gmail.com [College of Science, Huazhong Agricultural University, Wuhan 430070 (China) [College of Science, Huazhong Agricultural University, Wuhan 430070 (China); Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071 (China); Zhang, Yimin, E-mail: zhangyimin@wipm.ac.cn [Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071 (China)] [Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071 (China)

2014-03-15T23:59:59.000Z

378

"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"

379

5 - Yunnan and regional institutions  

Science Journals Connector (OSTI)

Abstract: This chapter looks at Yunnan’s role in and relationships to regional institutions within China and those spanning China’s southwest and southeast and south Asia. It takes a historical perspective towards these developments, and describes how ideas of the province becoming a Chinese bridgehead to Asia have found practical expression through institutions.

Tim Summers

2013-01-01T23:59:59.000Z

380

Regional water planning Milind Sohoni  

E-Print Network [OSTI]

of energy, capital and O&M ­ surface water: generally large investments, canals, pipelines ­ ground water demand for resources water, energy, firewood etc. · Need to meet demand with supply ­ Logistics efficiency, equity, sustainability #12;Regional View LOCATE: Farmland Villages Road/highways River/stream Dam

Sohoni, Milind

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

Folding in regions of extension  

Science Journals Connector (OSTI)

......isostatically compensated and why the Moho remains flat in such regions. Finally, the model accounts...extensional folds from examples in the Rocky Mountain Basin and Range province, U...the Basin and Range-Colorado Plateau-Rocky Mountain transition from coherence analysis......

F. Lévy; C. Jaupart

2011-06-01T23:59:59.000Z

382

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

383

The Elephant Trunk Nebula and the Trumpler 37 cluster: Contribution of triggered star formation to the total population of an HII region  

E-Print Network [OSTI]

Rich young stellar clusters produce HII regions whose expansion into the nearby molecular cloud is thought to trigger the formation of new stars. However, the importance of this mode of star formation is uncertain. This investigation seeks to quantify triggered star formation (TSF) in IC 1396A (a.k.a., the Elephant Trunk Nebula), a bright rimmed cloud (BRC) on the periphery of the nearby giant HII region IC 1396 produced by the Trumpler 37 cluster. X-ray selection of young stars from Chandra X-ray Observatory data is combined with existing optical and infrared surveys to give a more complete census of the TSF population. Over 250 young stars in and around IC 1396A are identified; this doubles the previously known population. A spatio-temporal gradient of stars from the IC 1396A cloud toward the primary ionizing star HD 206267 is found. We argue that the TSF mechanism in IC 1396A is the radiation-driven implosion process persisting over several million years. Analysis of the X-ray luminosity and initial mass f...

Getman, Konstantin V; Sicilia-Aguilar, Aurora; Broos, Patrick S; Kuhn, Michael A; Garmire, Gordon P

2012-01-01T23:59:59.000Z

384

Regional assessment of environmental equity through GIS-based clustering and non-parametric statistical testing: a case study of Dallas County, Texas, USA  

Science Journals Connector (OSTI)

Previous GIS-based methods for assessing regional environmental equity issues tended to simplify the definition of impact area for a hazardous site by either directly adopting the pre-existing census unit or constructing a buffer with an arbitrary radius. Subsequent spatial analyses based on such a simplification support rather limited statistical analysis. The present paper reviews this methodological issue and proposes a more robust method combining statistical clustering, spatial overlay analysis, and non-parametric statistical testing for regional equity assessment. In this method, impact areas for individual population groups are derived through statistical clustering based on the internal data structure of multiple demographic variables, and facilities are tallied within each cluster zone to support a valid chi-square test. A case study on Dallas County, Texas, USA, demonstrated the advantages of this method, including data self-organisation for case-specific analysis, avoidance of arbitrariness of impact area definition, ability to provide a comprehensive evaluation based on multiple demographic characteristics, and statistical comparability with highly skewed data distribution.

Minhe Ji; T.S. Sunil

2005-01-01T23:59:59.000Z

385

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

386

Regional Public Coordination Transportation Plan Texoma Region #22  

E-Print Network [OSTI]

Goodwill Industries J.D. Hall Fannin County Judge Bob Rhoden Texoma Workforce Kathy Roberts Texas Department of Health and Human Services James Powell NCTCOG Michelle Bloomer NCTCOG Tim McGraw Grayson County Judge Tom Parker Red River Regional...: Transportation Research Board, National Research Council Federal Highway Administration and Federal Transit Administration. Statewide metropolitan transportation planning. Federal Register 65:02, pp. 33922-33958 21 Appendix D ? Survey Form...

Texoma Council of Governments

2006-12-01T23:59:59.000Z

387

Clean Cities Regional Support & Petroleum Displacement Awards...  

Broader source: Energy.gov (indexed) [DOE]

Clean Cities Regional Support & Petroleum Displacement Awards Clean Cities Regional Support & Petroleum Displacement Awards 2009 DOE Hydrogen Program and Vehicle Technologies...

388

Sandia National Laboratories: Photovoltaic (PV) Regional Test...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ClimateECEnergyPhotovoltaic (PV) Regional Test Center (RTC) Website Goes Live Photovoltaic (PV) Regional Test Center (RTC) Website Goes Live Hope Michelsen named to Alameda County...

389

EIA - Natural Gas Pipeline System - Midwest Region  

Gasoline and Diesel Fuel Update (EIA)

Midwest Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Midwest Region...

390

Germany Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Germany Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Germany Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0)...

391

Russia Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Russia Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Russia Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0)...

392

Iceland Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Planned Estimate Plants with Unknown Planned Capacity Geothermal Areas within the Iceland Geothermal Region Energy Generation Facilities within the Iceland Geothermal Region...

393

Austria Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Planned Estimate Plants with Unknown Planned Capacity Geothermal Areas within the Austria Geothermal Region Energy Generation Facilities within the Austria Geothermal Region...

394

Italy Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Region Larderello Geothermal Area Mount Amiata Geothermal Area Travale-Radicondoli Geothermal Area Energy Generation Facilities within the Italy Geothermal Region Bagnore 3...

395

Regional geophysics, Cenozoic tectonics and geologic resources...  

Open Energy Info (EERE)

and adjoining regions Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Proceedings: Regional geophysics, Cenozoic tectonics and geologic resources of...

396

Regional Slip Tendency Analysis of the Great Basin Region  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

- The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

Faulds, James E.

397

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

398

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

399

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)

400

Building Distributed Energy Performance Optimization for China - a Regional  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

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

Response of California temperature to regional anthropogenic aerosol  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

402

RPS Customer-Sited Tier Regional Program | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

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

403

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)

404

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

405

On the asymptotic homotopy type of inductive limit Type ...  

E-Print Network [OSTI]

In this note we exhibit large classes of (projeetionless) stable, nuclear C*- algebras whose asymptotic homotopy type is determined by K-theoretical data.

406

Star formation in the Cepheus Flare region — II. A-type stars associated with IRAS sources  

Science Journals Connector (OSTI)

......In this case the material responsible for the...3.1 Two-colour diagram In order to compare...the IRAS two-colour diagram and the shape of its...Their IRAS two-colour diagram suggests that the infrared...advice related to data handling. Remarks of the anonymous......

M. Kun; J. Vinkó; L. Szabados

2000-12-11T23:59:59.000Z

407

Evidence of association with type 1 diabetes in the SLC11A1 gene region  

E-Print Network [OSTI]

of 20 ?l containing 2 ?l of cDNA sample, 0.6 ?l of 10 ?M forward and reverse primers each, 0.8 ?l of 5 ?M probe, 10 ?l of TaqMan Universal PCR Master Mix (ABI) and 6 ?l of dH2O. The thermal cycling conditions started with 50°C for 2 minutes, initial... -Conakry. Ann Hum Genet 2000, 64(Pt 6):507-512. 26. Mohamed HS, Ibrahim ME, Miller EN, White JK, Cordell HJ, Howson JM, Peacock CS, Khalil EA, El Hassan AM, Blackwell JM: SLC11A1 (formerly NRAMP1) and susceptibility to visceral leishmaniasis in The Sudan. Eur J...

Yang, Jennie H M; Downes, Kate; Howson, Joanna M M; Nutland, Sarah; Stevens, Helen; Walker, Neil M; Todd, John A

2011-04-27T23:59:59.000Z

408

www.elsevier.com/locate/rgg Types of Holocene deposits and regional pattern of sedimentation  

E-Print Network [OSTI]

long-core boreholes have been drilled in Baikal (Kuz'min et al., 2001). These drilling activities calm sedimentation conditions; (4) delta (fan) areas near the mouths of large rivers, where sediments. The highest rates appear near the mouths of large rivers, lower ones occur in the deep lake basins

Wehrli, Bernhard

409

ORIGINAL PAPER Effects of region, soil, land use, and terrain type on fuelwood  

E-Print Network [OSTI]

(sandy, sandy/loam, or rocky), land use (parkland agroforest or woodland), and terrain (flat, temporarily for Z. mauritiana, and on rocky soils for all species. Fuel- wood production of P. reticulatum

Paris-Sud XI, Université de

410

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

411

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

412

Southeast Regional Carbon Sequestration Partnership  

SciTech Connect (OSTI)

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

413

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

414

Regional-scale climate simulations: Improvement in near-surface field  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regional-scale climate simulations: Improvement in near-surface field Regional-scale climate simulations: Improvement in near-surface field projections with spectral nudging July 30, 2013 EVS researchers have established a new optimal approach for downscaling physically based global climate model projections to the regional scale. The new approach is significant because it preserves both the prescribed large-scale dynamics of the global model and the increased variability of the higher-resolution physics in a regional-scale model. Global-scale climate models have coarse spatial resolution and cannot resolve many local and regional-scale features, such as increased precipitation due to the lake effect in the Chicago region. Specially built models that operate at a higher spatial resolution and can resolve these types of features are referred to as regional-scale climate models. These

415

Window Types | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

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

416

Window Types | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

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

417

Regional aquifers and petroleum in Williston Basin region of US  

SciTech Connect (OSTI)

At least five major aquifers underlie the northern Great Plains of the US, which includes parts of the Williston basin in Montana and North Dakota. These aquifers form a hydrologic system that extends more than 960 km from recharge areas in the Rocky Mountains to discharge areas in eastern North Dakota and the Canadian Provinces of Manitoba and Saskatchewan. The regional flow system in the aquifers has had a major effect on the chemical composition of ground water within the Williston basin. Hydrodynamic forces may contribute to the accumulation of petroleum within the basin.

Downey, J.S.; Busby, J.F.; Dinwiddie, G.A.

1985-05-01T23:59:59.000Z

418

Wide Area Security Region Final Report  

SciTech Connect (OSTI)

This report develops innovative and efficient methodologies and practical procedures to determine the wide-area security region of a power system, which take into consideration all types of system constraints including thermal, voltage, voltage stability, transient and potentially oscillatory stability limits in the system. The approach expands the idea of transmission system nomograms to a multidimensional case, involving multiple system limits and parameters such as transmission path constraints, zonal generation or load, etc., considered concurrently. The security region boundary is represented using its piecewise approximation with the help of linear inequalities (so called hyperplanes) in a multi-dimensional space, consisting of system parameters that are critical for security analyses. The goal of this approximation is to find a minimum set of hyperplanes that describe the boundary with a given accuracy. Methodologies are also developed to use the security hyperplanes, pre-calculated offline, to determine system security margins in real-time system operations, to identify weak elements in the system, and to calculate key contributing factors and sensitivities to determine the best system controls in real time and to assist in developing remedial actions and transmission system enhancements offline . A prototype program that automates the simulation procedures used to build the set of security hyperplanes has also been developed. The program makes it convenient to update the set of security hyperplanes necessitated by changes in system configurations. A prototype operational tool that uses the security hyperplanes to assess security margins and to calculate optimal control directions in real time has been built to demonstrate the project success. Numerical simulations have been conducted using the full-size Western Electricity Coordinating Council (WECC) system model, and they clearly demonstrated the feasibility and the effectiveness of the developed technology. Recommendations for the future work have also been formulated.

Makarov, Yuri V.; Lu, Shuai; Guo, Xinxin; Gronquist, James; Du, Pengwei; Nguyen, Tony B.; Burns, J. W.

2010-03-31T23:59:59.000Z

419

Portfolio Manager Space Type Discussion  

Broader source: Energy.gov [DOE]

This presentation, given through the DOE's Technical Assitance Program (TAP), provides a discussion about space/type in regards to the Portfolio Manager Initiative.

420

Hydrogen Regional Infrastructure Program in Pennsylvania  

Broader source: Energy.gov [DOE]

Hydrogen Regional Infrastructure Program in Pennsylvania. Objectives: Capture data pertinent to H2 delivery in PA

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

Future Regional Climates Jason Evans,a  

E-Print Network [OSTI]

Precipitation, Rain Shadows, and Foehn Winds 228 9.2.4. Mountain Barrier Jets 228 9.2.5. Regional Climate Change the regional-scale of tropical cyclones, to the more local scale of the effects of coasts, mountains, and land use. It is the combination of the large-scale and regional/local forcings that produce a region

Evans, Jason

422

Twin Cities Regional Bicycle System Study  

E-Print Network [OSTI]

Twin Cities Regional Bicycle System Study Developing a Regional Bicycle Network CTS Research Corridors Analysis Results Proposed Regional Bicycle Network Critical Bicycle Links Next Steps Introduction #12;3 Improve knowledge base of regional bicycle transportation system and learn · How on

Minnesota, University of

423

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

424

Clean Cities: National and Regional Coordinator Meetings  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

National and Regional Coordinator National and Regional Coordinator Meetings to someone by E-mail Share Clean Cities: National and Regional Coordinator Meetings on Facebook Tweet about Clean Cities: National and Regional Coordinator Meetings on Twitter Bookmark Clean Cities: National and Regional Coordinator Meetings on Google Bookmark Clean Cities: National and Regional Coordinator Meetings on Delicious Rank Clean Cities: National and Regional Coordinator Meetings on Digg Find More places to share Clean Cities: National and Regional Coordinator Meetings on AddThis.com... Coordinator Basics Outreach Education & Webinars Meetings Reporting Contacts National and Regional Coordinator Meetings Clean Cities hosts national and regional meetings for coordinators to share expertise, success stories, and lessons learned and to hear what's

425

Regional Slip Tendency Analysis of the Great Basin Region  

SciTech Connect (OSTI)

Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

James E. Faulds

2013-09-30T23:59:59.000Z

426

Classification of GHZ-type, W-type and GHZ-W-type multiqubit entanglements  

E-Print Network [OSTI]

We propose the concept of SLOCC-equivalent basis (SEB) in the multiqubit space. In particular, two special SEBs, the GHZ-type and the W-type basis are introduced. They can make up a more general family of multiqubit states, the GHZ-W-type states, which is a useful kind of entanglement for quantum teleporatation and error correction. We completely characterize the property of this type of states, and mainly classify the GHZ-type states and the W-type states in a regular way, which is related to the enumerative combinatorics. Many concrete examples are given to exhibit how our method is used for the classification of these entangled states.

Lin Chen; Yi-Xin Chen

2006-05-23T23:59:59.000Z

427

Archived Reference Building Type: Hospital  

Broader source: Energy.gov [DOE]

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

428

Archived Reference Building Type: Hospital  

Broader source: Energy.gov [DOE]

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

429

Archived Reference Building Type: Warehouse  

Broader source: Energy.gov [DOE]

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

430

Archived Reference Building Type: Warehouse  

Broader source: Energy.gov [DOE]

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

431

Soft Typing PHP Patrick Camphuijsen  

E-Print Network [OSTI]

Soft Typing PHP Patrick Camphuijsen Jurriaan Hage Stefan Holdermans Technical Report UU-CS-2009.O. Box 80.089 3508 TB Utrecht The Netherlands #12;Soft Typing PHP with PHP-validator Patrick Camphuijsen@cs.uu.nl Abstract PHP is a popular language for building websites, but also notori- ously lax in that almost every

Utrecht, Universiteit

432

Cofinal types of directed orders  

E-Print Network [OSTI]

, ) directed partial orders #12;Cofinal types (P, ), (Q, ) directed partial orders Tukey reducibility: (P orders Tukey reducibility: (P, ) T (Q, ) if f : P Q X P unbounded = f [X] Q unbounded g : Q P Y Q cofinal = g[Y ] P cofinal #12;Cofinal types (P, ), (Q, ) directed partial orders Tukey reducibility: (P

Mátrai, Tamás

433

Table A13. Selected Combustible Inputs of Energy for Heat, Power, and  

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

3. Selected Combustible Inputs of Energy for Heat, Power, and" 3. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type," " Census Region, Census Division, and End Use, 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,"Coal" ,,,"Distillate",,,"(excluding" ,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,"for","Residual","and","Natural Gas(c)",,"and Breeze)","RSE" ,"Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","LPG","(1000 short","Row"

434

Theoretical models for Type I and Type II supernova  

SciTech Connect (OSTI)

Recent theoretical progress in understanding the origin and nature of Type I and Type II supernovae is discussed. New Type II presupernova models characterized by a variety of iron core masses at the time of collapse are presented and the sensitivity to the reaction rate /sup 12/C(..cap alpha..,..gamma..)/sup 16/O explained. Stars heavier than about 20 M/sub solar/ must explode by a ''delayed'' mechanism not directly related to the hydrodynamical core bounce and a subset is likely to leave black hole remnants. The isotopic nucleosynthesis expected from these massive stellar explosions is in striking agreement with the sun. Type I supernovae result when an accreting white dwarf undergoes a thermonuclear explosion. The critical role of the velocity of the deflagration front in determining the light curve, spectrum, and, especially, isotopic nucleosynthesis in these models is explored. 76 refs., 8 figs.

Woosley, S.E.; Weaver, T.A.

1985-01-01T23:59:59.000Z

435

The Structure of a Tunicate C-type Lectin from Polyandrocarpa misakiensis Complexed with  

E-Print Network [OSTI]

, Hills Road, Cambridge CB2 2QH, UK C-type lectins are calcium-dependent carbohydrate-recognising proteins misakiensis revealed the presence of a single calcium atom per monomer with a dissociation constant of 2.6 m in structure from other C-type lectins mainly in the diverse loop regions and in the second a-helix, which

Williams, Roger L.

436

P-type gallium nitride  

DOE Patents [OSTI]

Several methods have been found to make p-type gallium nitride. P-type gallium nitride has long been sought for electronic devices. N-type gallium nitride is readily available. Discovery of p-type gallium nitride and the methods for making it will enable its use in ultraviolet and blue light-emitting diodes and lasers. pGaN will further enable blue photocathode elements to be made. Molecular beam epitaxy on substrates held at the proper temperatures, assisted by a nitrogen beam of the proper energy produced several types of p-type GaN with hole concentrations of about 5{times}10{sup 11} /cm{sup 3} and hole mobilities of about 500 cm{sup 2} /V-sec, measured at 250 K. P-type GaN can be formed of unintentionally-doped material or can be doped with magnesium by diffusion, ion implantation, or co-evaporation. When applicable, the nitrogen can be substituted with other group III elements such as Al. 9 figs.

Rubin, M.; Newman, N.; Fu, T.; Ross, J.; Chan, J.

1997-08-12T23:59:59.000Z

437

EIA - Natural Gas Pipeline System - Northeast Region  

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

Northeast Region Northeast Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipelines in the Northeast Region Overview | Domestic Gas | Canadian Imports | Regional Pipeline Companies & Links Overview Twenty interstate natural gas pipeline systems operate within the Northeast Region (Connecticut, Delaware, Massachusetts, Maine, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Virginia, and West Virginia). These interstate pipelines deliver natural gas to several intrastate natural gas pipelines and at least 50 local distribution companies in the region. In addition, they also serve large industrial concerns and, increasingly, natural gas fired electric power generation facilities.

438

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

Open Energy Info (EERE)

Impacts of Utility Rates and Building Type on the Economics of Impacts of Utility Rates and Building Type on the Economics of Commercial Photovoltaic Systems Jump to: navigation, search Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems[1] Authors:Sean Ong, Clinton Campbell, and Nathan Clark National Renewable Energy Laboratory, 2012. Abstract 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. The digital appendix is available with results for the different locations

439

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

One of the first places where consumers are feeling the impact of One of the first places where consumers are feeling the impact of this winter's market pressures is in home heating oil prices. This chart shows prices through February 28, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of heating oil

440

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Slide 2 of 11 Notes: One of the first places where consumers are feeling the impact of this winter’s market pressures is in home heating oil prices. This chart shows prices through February 7, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents per gallon through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of

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

Explosive hydrogen burning during type I X-ray bursts  

SciTech Connect (OSTI)

Explosive hydrogen burning in type I X-ray bursts (XRBs) is driven by charged particle reactions creating isotopes with masses up to A {approx} 100. Since charged particle reactions in a stellar environment are very temperature sensitive, we use a realistic time-dependent general relativistic and self-consistent model of type I X-ray bursts to provide accurate values of the burst temperatures and densities. This allows a detailed and accurate time-dependent identification of the reaction flow from the surface layers through the convective region and the ignition region to the neutron star ocean. Using this, we determine the relative importance of specific nuclear reactions in the X-ray burst.

Fisker, J L; Schatz, H; Thielemann, F

2007-06-11T23:59:59.000Z

442

THE CONNECTION OF TYPE II SPICULES TO THE CORONA  

SciTech Connect (OSTI)

We examine the hypothesis that plasma associated with 'Type II' spicules is heated to coronal temperatures, and that the upward moving hot plasma constitutes a significant mass supply to the solar corona. One-dimensional hydrodynamical models including time-dependent ionization are brought to bear on the problem. These calculations indicate that heating of field-aligned spicule flows should produce significant differential Doppler shifts between emission lines formed in the chromosphere, transition region, and corona. At present, observational evidence for the computed 60-90 km s{sup -1} differential shifts is weak, but the data are limited by difficulties in comparing the proper motion of Type II spicules with spectral and kinematic properties of an associated transition region and coronal emission lines. Future observations with the upcoming infrared interferometer spectrometer instrument should clarify if Doppler shifts are consistent with the dynamics modeled here.

Judge, Philip G.; McIntosh, Scott W. [High Altitude Observatory, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307-3000 (United States); De Pontieu, Bart [Lockheed Martin Solar and Astrophysics Laboratory, 3251 Hanover Street, Org. A021S, Building 252, Palo Alto, CA 94304 (United States); Olluri, Kosovare [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo (Norway)

2012-02-20T23:59:59.000Z

443

Word Pro - Untitled1  

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

7 Appendix C Figure C1. U.S. Census Regions and Divisions Note: Map not to scale. Web Page: See www.census.govgeowwwusregdiv.pdf. Source: U.S. Department of Commerce, Bureau of...

444

EIA - Natural Gas Pipeline System - Western Region  

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

Western Region Western Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipelines in the Western Region Overview | Transportation South | Transportation North | Regional Pipeline Companies & Links Overview Ten interstate and nine intrastate natural gas pipeline companies provide transportation services to and within the Western Region (Arizona, California, Idaho, Nevada, Oregon, and Washington), the fewest number serving any region (see Table below). Slightly more than half the capacity entering the region is on natural gas pipeline systems that carry natural gas from the Rocky Mountain area and the Permian and San Juan basins. These latter systems enter the region at the New Mexico-Arizona and Nevada-Utah State lines. The rest of the capacity arrives on natural gas pipelines that access Canadian natural gas at the Idaho and Washington State border crossings with British Columbia, Canada.

445

Regional Revolving Loan Trust Fund (New York)  

Broader source: Energy.gov [DOE]

The Regional Revolving Loan Trust Fund Program, coordinated by the Empire State Development program, is operated in six regions by nonprofit organizations and provides working capital loans (up to ...

446

San Diego Regional Clean Fuels Coalition | Open Energy Information  

Open Energy Info (EERE)

Fuels Coalition Fuels Coalition Jump to: navigation, search Name San Diego Regional Clean Fuels Coalition Place San Diego, California Zip 92123 Region Southern CA Area Notes Network of more than 80 volunteer, community-based coalitions, which develop public/private partnerships to work together as a coalition Website http://www.sdcleanfuels.org/ Coordinates 32.8102534°, -117.1323579° 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":32.8102534,"lon":-117.1323579,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

447

An Interface Region Imaging Spectrograph first view on Solar Spicules  

E-Print Network [OSTI]

Solar spicules have eluded modelers and observers for decades. Since the discovery of the more energetic type II, spicules have become a heated topic but their contribution to the energy balance of the low solar atmosphere remains unknown. Here we give a first glimpse of what quiet Sun spicules look like when observed with NASA's recently launched Interface Region Imaging Spectrograph (IRIS). Using IRIS spectra and filtergrams that sample the chromosphere and transition region we compare the properties and evolution of spicules as observed in a coordinated campaign with Hinode and the Atmospheric Imaging Assembly. Our IRIS observations allow us to follow the thermal evolution of type II spicules and finally confirm that the fading of Ca II H spicules appears to be caused by rapid heating to higher temperatures. The IRIS spicules do not fade but continue evolving, reaching higher and falling back down after 500-800 s. Ca II H type II spicules are thus the initial stages of violent and hotter events that mostly...

Pereira, T M D; Carlsson, M; Hansteen, V; Tarbell, T D; Lemen, J; Title, A; Boerner, P; Hurlburt, N; Wülser, J P; Martínez-Sykora, J; Kleint, L; Golub, L; McKillop, S; Reeves, K K; Saar, S; Testa, P; Tian, H; Jaeggli, S; Kankelborg, C

2014-01-01T23:59:59.000Z

448

Sandia National Laboratories: Federal Laboratory Consortium Regional...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

& CapabilitiesCapabilitiesFederal Laboratory Consortium Regional Technology-Transfer Awards Salute Innovation, Commercialization at Sandia Federal Laboratory...

449

Biochar and Carbon Sequestration: A Regional Perspective  

E-Print Network [OSTI]

Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East of England #12;Low Carbon Innovation Centre Report for EEDA Biochar and Carbon Sequestration: A Regional Perspective 20/04/2009 ii Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East

Everest, Graham R

450

EE Regional Technology Roadmap Includes comparison  

E-Print Network [OSTI]

EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Roadmap with a strong linkage to utility programs Scan for Technologies 1. How does it address the NW Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

451

Types of Reuse | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Services » Property » Property Reuse » Types of Reuse Services » Property » Property Reuse » Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse Types of Reuse The following provides greater detail regarding the types of reuse pursued for LM sites. It should be noted that many actual reuses combine several types of the uses listed below. Agriculture Many of the LM lands in the west are surrounded by open rangeland administered by the Bureau of Land Management or large ranches that are primarily used for grazing. LM promotes agricultural uses of lands that are surrounded by existing agricultural operations. Agricultural uses, such as cultivation of crops, could be combined with habitat improvements or

452

Regional Study to Guide Policy Interventions for Enhancing the Development  

Open Energy Info (EERE)

Guide Policy Interventions for Enhancing the Development Guide Policy Interventions for Enhancing the Development and Transfer of Publicly-Funded Environmentally Sound Technologies in Asia and the Pacific Region Jump to: navigation, search Name Regional Study to Guide Policy Interventions for Enhancing the Development and Transfer of Publicly-Funded Environmentally Sound Technologies in Asia and the Pacific Region Agency/Company /Organization United Nations Economic and Social Commission for Asia and the Pacific Sector Energy Focus Area Energy Efficiency, Renewable Energy Topics Implementation, Policies/deployment programs Resource Type Publications Website http://www.greengrowth.org/dow UN Region Central Asia, Eastern Asia, South-Eastern Asia, "Pacific" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

453

-Regional analysis of litter quality in the central grassland region of North America -395 Journal of Vegetation Science 13: 395-402, 2002  

E-Print Network [OSTI]

and precipitation. Precipitation exhibited a similar positive relationship with lignin/N and percent lignin positive relationship between temperature and both per- cent lignin and lignin/N. Among functional types, C/N, lignin/N, and percent lignin than short grass species. This understanding of the regional pat- terns

Minnesota, University of

454

Direct-Current Resistivity At Central Nevada Seismic Zone Region  

Open Energy Info (EERE)

At Central Nevada Seismic At Central Nevada Seismic Zone Region (Pritchett, 2004) Exploration Activity Details Location Central Nevada Seismic Zone Geothermal Region Exploration Technique Direct-Current Resistivity Survey 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

455

Central African Regional Program for the Environment (CARPE) | Open Energy  

Open Energy Info (EERE)

the Environment (CARPE) the Environment (CARPE) Jump to: navigation, search Name Central African Regional Program for the Environment (CARPE) Agency/Company /Organization U.S. Agency for International Development, United States Forest Service, University of Maryland Sector Land Focus Area Forestry Topics Implementation, Policies/deployment programs, Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://carpe.umd.edu/ Country Gabon, Rwanda, Burundi, Sao Tome and Principe, Central African Republic, Democratic Republic of Congo, Republic of the Congo, Equatorial Guinea, Cameroon Middle Africa, Eastern Africa, Eastern Africa, Middle Africa, Middle Africa, Middle Africa, Middle Africa, Middle Africa, Middle Africa References Central African Regional Program for the Environment (CARPE)[1]

456

Securing non-volatile memory regions  

DOE Patents [OSTI]

Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

2013-08-20T23:59:59.000Z

457

Federal Energy Management Program: Maintenance Types  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Maintenance Types Maintenance Types to someone by E-mail Share Federal Energy Management Program: Maintenance Types on Facebook Tweet about Federal Energy Management Program: Maintenance Types on Twitter Bookmark Federal Energy Management Program: Maintenance Types on Google Bookmark Federal Energy Management Program: Maintenance Types on Delicious Rank Federal Energy Management Program: Maintenance Types on Digg Find More places to share Federal Energy Management Program: Maintenance Types on AddThis.com... Sustainable Buildings & Campuses Operations & Maintenance Federal Requirements Program Management Commissioning Metering Computerized Maintenance Management Systems Maintenance Types Reactive Preventive Predictive Reliability-Centered Major Equipment Types Resources Contacts

458

Template:GeothermalRegion | Open Energy Information  

Open Energy Info (EERE)

GeothermalRegion GeothermalRegion Jump to: navigation, search This is the GeothermalRegion template. To define a new Geothermal Region, please use the Geothermal Region form. Parameters Map - The map of the region. State - The state in which the resource area is located. Area - The estimated size of the area in which the resource area is located, in km². IdentifiedHydrothermalPotential - The identified hydrothermal electricity generation potential in megawatts, from the USGS resource estimate. UndiscoveredHydrothermalPotential - The estimated undiscovered hydroelectric generation potential in megawatts from the USGS resource estimate. PlannedCapacity - The total planned capacity for the region in megawatts. Number of Plants Included in Planned Estimate - The number of plants

459

Stakeholder Engagement and Outreach: Regional Wind Activities  

Wind Powering America (EERE)

Regional Activities Regional Activities State Activities State Lands Siting Regional Wind Activities Learn more about regional activities in New England. New England Wind Forum The New England Wind Forum has its own website with information particular to the region and its own unique circumstances. Find regional events, news, projects, and information about wind technology, economics, markets for wind energy, siting considerations, policies and public acceptance issues as they all pertain to the New England region. The site was launched in 2005 to provide a single comprehensive source of up-to-date, Web-based information on a broad array of wind-energy-related issues pertaining to New England. Contacts | Website Policies | U.S. Department of Energy | USA.gov Content Last Updated: 9/2

460

Regional Carbon Sequestration Partnerships | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Science & Innovation » Carbon Capture and Storage » Regional Science & Innovation » Carbon Capture and Storage » Regional Carbon Sequestration Partnerships Regional Carbon Sequestration 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.

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

Requirements for Foreign National Payments Type of Payment Visa Type  

E-Print Network [OSTI]

8233 36% 36% Royalty* NA NA NA NA Yes NA* No Yes W8BEN Varies 1. The visa types listed are the most related to the field of study on the I-20. 10. For Royalty payments the visa doc is not needed when

Wolpert, Robert L

462

Description of CBECS Building Types  

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

Description of Building Types Description of Building Types Description of CBECS Building Types In the Commercial Buildings Energy Consumption Survey (CBECS), buildings are classified according to principal activity, which is the primary business, commerce, or function carried on within each building. Buildings used for more than one of the activities described below are assigned to the activity occupying the most floorspace at the time of the interview. Thus, a building assigned to a particular principal activity category may be used for other activities in a portion of its space or at some time during the year. In the 1999 CBECS, respondents were asked to place their building into a sub-category that was a more specific activity than has been collected in prior surveys. This was done to ensure the quality of the data; after data collection, the subcategories were combined into these more general building categories, which are consistent with prior CBECS surveys.

463

Type-1.5 Superconductivity  

Science Journals Connector (OSTI)

We demonstrate the existence of a novel superconducting state in high quality two-component MgB2 single crystalline superconductors where a unique combination of both type-1 (?1/?11/2) superconductor conditions is realized for the two components of the order parameter. This condition leads to a vortex-vortex interaction attractive at long distances and repulsive at short distances, which stabilizes unconventional stripe- and gossamerlike vortex patterns that we have visualized in this type-1.5 superconductor using Bitter decoration and also reproduced in numerical simulations.

Victor Moshchalkov; Mariela Menghini; T. Nishio; Q. H. Chen; A. V. Silhanek; V. H. Dao; L. F. Chibotaru; N. D. Zhigadlo; J. Karpinski

2009-03-16T23:59:59.000Z

464

Models for Type I supernovae  

SciTech Connect (OSTI)

Two rather disjoint scenarios for Type I supernovae are presented. One is based upon mass accretion by a white dwarf in a binary system. The second involves a star having some 8 to 10 times the mass of the sun which may or may not be a solitary star. Despite the apparent dissimilarities in the models it may be that each occurs to some extent in nature for they both share the possibility of producing substantial quantities of /sup 56/Ni and explosions in stars devoid of hydrogen envelopes. These are believed to be two properties that must be shared by any viable Type I model.

Woosley, S.E.; Weaver, T.A.; Taam, R.E.

1980-06-17T23:59:59.000Z

465

EIA Energy Efficiency-Residential Sector Energy Intensities, 1978-2001  

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

Residential Sector Energy Intensities Residential Sector Energy Intensities RESIDENTIAL SECTOR ENERGY INTENSITIES: 1978-2005 Released Date: August 2004 Page Last Modified:June 2009 These tables provide estimates of residential sector energy consumption and energy intensities for 1978 -1984, 1987, 1990, 1993, 1997, 2001 and 2005 based on the Residential Energy Consumption Survey (RECS). Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF By Type of Housing Unit (Table 1a) html Table 1a excel table 1a. excel table 1a. Weather-Adjusted by Type of Housing Unit (Table 1b) html table 1b excel table 1b excel table 1b Total Primary Energy Consumption (U.S. and Census Region) By Type of Housing Unit (Table 1c) html Table 1c excel table 1c excel table 1c Weather-Adjusted by Type of Housing Unit (Table 1d)

466

Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their  

E-Print Network [OSTI]

Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application {mhg,afrangi}@unizar.es Abstract. The inclusion of statistical region-based information in the Geodesic for the segmentation of brain aneurysms in CTA data with the Geodesic Active Regions model. 1 Introduction Brain

Frangi, Alejandro

467

Dark fleshed varieties (Bing type) in regular type, light fleshed varieties (Rainier type) in italics Sweet Cherries  

E-Print Network [OSTI]

Dark fleshed varieties (Bing type) in regular type, light fleshed varieties (Rainier type and Royalton. For more information about these and other varieties, visit our web site at www

468

EIA - Natural Gas Pipeline System - Central Region  

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

Central Region Central Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipelines in the Central Region Overview | Domestic Gas | Exports | Regional Pipeline Companies & Links Overview Twenty-two interstate and at least thirteen intrastate natural gas pipeline companies (see Table below) operate in the Central Region (Colorado, Iowa, Kansas, Missouri, Montana, Nebraska, North Dakota, South Dakota, Utah, and Wyoming). Twelve interstate natural gas pipeline systems enter the region from the south and east while four enter from the north carrying Canadian supplies. The average utilization rates on those shipping Canadian natural gas tend to be higher than those carrying domestic supplies.

469

Ocean - Regional Planning Efforts | Data.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regional Planning Efforts Regional Planning Efforts Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Regional Planning Efforts Marine planning is a science-based process that provides transparent information about ocean use and guarantees the public and stakeholders a voice early on in decisions affecting the uses of the marine environment. It is an inclusive, bottom-up approach that gives the Federal Government, States, and Tribes, with input from local communities, stakeholders, and the public, the ability to make informed decisions on how best to optimize the use of and protect the ocean, coasts, and Great Lakes. Under the National Ocean Policy, the United States is subdivided into nine regional planning areas. Within each region, Federal, State, and Tribal

470

Regional Transmission Planning Webinar | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Regional Transmission Planning Webinar Regional Transmission Planning Webinar Regional Transmission Planning Webinar May 29, 2013 11:00AM MDT Webinar The U.S. Department of Energy (DOE) Office of Indian Energy Policy and Programs, Office of Energy Efficiency and Renewable Energy Tribal Energy Program, and Western Area Power Administration (WAPA) are pleased to continue their sponsorship of the Tribal Renewable Energy Webinar Series. As part of a process to develop interconnection-based transmission plans for the Eastern and Western Interconnections and the Electric Reliability Council of Texas (ERCOT), the eight U.S. regional reliability organizations are expanding existing regional transmission planning activities and broadening stakeholder involvement. Hear about the status of the organizations' plans and evaluations of long-term regional transmission

471

EIA - Natural Gas Pipeline System - Southeast Region  

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

Southeast Region Southeast Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipelines in the Southeast Region Overview | Transportation to Atlantic & Gulf States | Gulf of Mexico Transportation Corridor | Transportation to the Northern Tier | Regional Pipeline Companies & Links Overview Twenty-three interstate, and at least eight intrastate, natural gas pipeline companies operate within the Southeast Region (Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee). Fifteen of the twenty-one interstate natural gas pipelines originate in the Southwest Region and receive most of their supplies from the Gulf of Mexico or from the States of Texas and/or Louisiana.

472

Ocean Map Regional | Data.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regional Regional Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Featured Maps The following maps are from data sources that are regional in scope. These are some of the data sources available in the Ocean Community that are most useful in the identified region. This includes several of the human use atlases now available. Regional/State Maps .view-map-gallery .views-row { float: inherit; margin: 0; } .map-align { float: left; margin: 0 20px; } .map-gallery-thumbnail{width:202px;height:133px;} .pane-map-gallery h2.pane-title { color: #284A78 !important; font: bold 16px Georgia,"Times New Roman",Serif !important; margin-left: 25px !important; } Oregon Submarine Cables Marine Reserves and Protected areas of Oregon

473

Clean Cities: Pittsburgh Region Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Pittsburgh Region Clean Cities Coalition Pittsburgh Region Clean Cities Coalition The Pittsburgh Region Clean Cities coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. Pittsburgh Region Clean Cities coalition Contact Information Richard Price 412-735-4114 rprice5705@aol.com Coalition Website Clean Cities Coordinator Richard Price Photo of Richard Price Rick Price is the Executive Director of the Pittsburgh Region Clean Cities and has been involved with the Pittsburgh Region Clean Cities for almost 15 years. He has served as coalition coordinator, president, and has been a member of the Board of Directors for 5 years. He is recently retired from the U.S. Department of Energy after 37 years of service. Rick was the

474

Type I background fields in terms of type IIB ones  

E-Print Network [OSTI]

We choose such boundary conditions for open IIB superstring theory which preserve N=1 SUSY. The explicite solution of the boundary conditions yields effective theory which is symmetric under world-sheet parity transformation $\\Omega:\\sigma\\to-\\sigma$. We recognize effective theory as closed type I superstring theory. Its background fields,beside known $\\Omega$ even fields of the initial IIB theory, contain improvements quadratic in $\\Omega$ odd ones.

B. Nikolic; B. Sazdovic

2008-04-16T23:59:59.000Z

475

Reevaluation of Type I Diamonds for Infrared and Raman Spectroscopy in High-Pressure Diamond Anvil Cells  

Science Journals Connector (OSTI)

Types Ia, IIa, and IIb diamonds have been compared for their use as anvils in infrared and Raman high-pressure spectroscopy. In the mid-infrared region above 2700 cm?1,...

Wong, P T T; Klug, D D

1983-01-01T23:59:59.000Z

476

EIA - Natural Gas Pipeline System - Southwest Region  

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

Southwest Region Southwest Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipelines in the Southwest Region Overview | Export Transportation | Intrastate | Connection to Gulf of Mexico | Regional Pipeline Companies & Links Overview Most of the major onshore interstate natural gas pipeline companies (see Table below) operating in the Southwest Region (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas) are primarily exporters of the region's natural gas production to other parts of the country and Mexico, while an extensive Gulf of Mexico and intrastate natural gas pipeline network is the main conduit for deliveries within the region. More than 56,000 miles of natural gas pipeline on more than 66 intrastate natural gas pipeline systems (including offshore-to-onshore and offshore Gulf of Mexico pipelines) deliver natural gas to the region's local natural gas distribution companies and municipalities and to the many large industrial and electric power facilities located in the region.

477

SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHIP THE UNITED  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHIP THE UNITED S T A T E S 2012 ATLAS CARBON UTILIZATION AND STORAGE Southeast Regional Carbon Sequestration Partnership The Southeast Regional Carbon Sequestration Partnership (SECARB), managed by the Southern States Energy Board, represents a 13-state region, including Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, eastern Texas, and Virginia and portions of Kentucky and West Virginia. SECARB comprises more than 100 participants representing Federal and state governments, industry, academia, and nonprofit organizations. The primary goal of SECARB is to develop the necessary framework and infrastructure to conduct field tests of carbon storage technologies and to

478

About Upper Great Plains Regional Office  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

that interconnect with Western facilities. To serve these customer needs, we work from 22 duty stations throughout the Region. We keep the power flowing while ensuring...

479

Sandia National Laboratories: Photovoltaic Regional Testing Center...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regional Testing Center (PV RTC) Sandia Participation in the 39th IEEE Photovoltaic Specialists (PVSC) Conference On August 14, 2013, in DETL, Distribution Grid Integration,...

480

Sandia National Laboratories: Photovoltaic Regional Testing Center...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Photovoltaic Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The...

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

2011 Municipal Consortium Northwest Region Workshop Materials  

Broader source: Energy.gov [DOE]

This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northwest Region Workshop, held in Seattle July 15, 2011.

482

Regional Standards Enforcement Policy | Department of Energy  

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

approaches to enforcing regional standards for residential central air conditioners and heat pumps. DOE will not assert civil penalty authority over distributors for violation of...

483

Enforcement Policy Statement: Regional Standards Enforcement...  

Office of Environmental Management (EM)

which set forth amended energy conservation standards for central air conditioners and heat pumps, including regional standards in certain States. 76 FR 37408. DOE has initiated...

484

Clean Cities Regional Support & Petroleum Displacement Awards  

Broader source: Energy.gov (indexed) [DOE]

Clean Cities Regional Support & Petroleum Displacement Awards Mike Scarpino & Kay Kelly National Energy Technology Laboratory 052009 This presentation does not contain any...

485

Northwest Region Combined Heat and Power Projects  

Broader source: Energy.gov [DOE]

DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

486

Pacific Region Combined Heat and Power Projects  

Broader source: Energy.gov [DOE]

DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

487

Northeast Region Combined Heat and Power Projects  

Broader source: Energy.gov [DOE]

DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

488

Southwest Alaska Regional Geothermal Energy Project | Department...  

Broader source: Energy.gov (indexed) [DOE]

objectives: Develop a renewable energy resource to offset diesel-fired electricity and heating in a region with few alternatives. Stabilize electric rates in Naknek and 25 rural...

489

Hedge cities : gambling on regional futures  

E-Print Network [OSTI]

Environmental degradation, automobile dependence, anticipated rapid population growth and spatial inequity have combined to form the basis for recent North American regional plans advocating a physical alternative to ...

Shorett, Mark, 1976-

2004-01-01T23:59:59.000Z

490

Gainesville Regional Utilities- Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Gainesville Regional Utilities offers rebates on a variety of energy-efficient technologies for its residential electric customers. Rebates are offered for central air conditioners, room air...

491

Sandia National Laboratories: Vermont Photovoltaic Regional Test...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Photovoltaic Regional Test Center Launch of Solar Testing Site in Vermont On November 27, 2013, in Energy, Facilities, News, News & Events, Partnership, Photovoltaic, Photovoltaic...

492

Southeast Regional Clean Energy Policy Analysis  

Office of Energy Efficiency and Renewable Energy (EERE)

This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

493

Fractal Networks Explain Regional Myocardial Flow Heterogeneity  

Science Journals Connector (OSTI)

Regional myocardial blood flow is very heterogeneous. This has been found by injection of radioactively labeled microspheres, or the “molecular microsphere” iododesmethylimipramine, and measuring the depositio...

Johannes H. G. M. van Beek; James B. Bassingthwaighte…

1989-01-01T23:59:59.000Z

494

Description of CBECS Building Types  

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

Energy Energy Consumption Survey (CBECS) > Description of Building Types Description of CBECS Building Types In the Commercial Buildings Energy Consumption Survey (CBECS), buildings are classified according to principal activity, which is the primary business, commerce, or function carried on within each building. Buildings used for more than one of the activities described below are assigned to the activity occupying the most floorspace at the time of the interview. Thus, a building assigned to a particular principal activity category may be used for other activities in a portion of its space or at some time during the year. In the 1999 and 2003 CBECS, respondents were asked to place their building into a sub-category that was a more specific activity than has been collected in prior surveys. This was done to ensure the quality of the data; after data collection, the subcategories were combined into these more general building categories, which are consistent with prior CBECS surveys.

495

Types of Fuel Cells | Department of Energy  

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

Fuel Cells Current Technology Types of Fuel Cells Types of Fuel Cells Fuel cells are classified primarily by the kind of electrolyte they employ. This classification...

496

IN THIS ISSUE Regional Climate Change..............1  

E-Print Network [OSTI]

IN THIS ISSUE · Regional Climate Change..............1 · From the Executive Director...........2 release of new climate change scenarios from the Canadian Regional Climate Model (CRCM) heralds of the fundamental questions remaining with respect to understanding climate change and even climate variability. And

Hamann, Andreas

497

Design Lessons from State and Regional Programs  

E-Print Network [OSTI]

Minimal linkage with cap-and-trade regional regimes #12;Cap & Trade: Regional GHG Initiative (RGGI) #12;RGGI and Sustaining Political Support Narrow Focus: Utilities-only Energy-Environment Network Holds (budgets, staff, emission allocations) #12;RGGI: Challenges of Implementation Leakage: Where

498

WORK PROGRAMME 2010 REGIONS OF KNOWLEDGE  

E-Print Network [OSTI]

of regional players in enhancing science and technology based development. Its purpose is to enable regions to strengthen their capacity for investing in and conducting research and technological development activities components of the cluster; · business entities (large enterprises and SMEs as defined in the EC

Milano-Bicocca, Università

499

Bay area regional water recycling program  

SciTech Connect (OSTI)

The Bay Area Regional Water Recycling Project is a partnership of 19 water and wastewater agencies working to maximize San Francisco Bay Area water recycling. Benefits of the partnership are described, and the methodologies and analysis tools to implement the regional approach are identified.

Ritchie, S.; Bailey, M.; Raines, R.

1998-07-01T23:59:59.000Z

500

Regional GHG Mitigation Response and Leakage Effects  

E-Print Network [OSTI]

Regional GHG Mitigation Response and Leakage Effects: Scenario Analysis of U.S. Forestry of Analysis · Assess net GHG mitigation potential in forestry & ag · Use FASOM-GHG model · Mitigation results) ­ vary GHG targets ­ vary payment approach · Show regional mitigation potential across U

McCarl, Bruce A.