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1

An assessment of the available windy land area and wind energy potential in the contiguous United States  

DOE Green Energy (OSTI)

Estimates of land areas with various levels of wind energy resource and resultant wind energy potential have been developed for each state in the contiguous United States. The estimates are based on published wind resource data and account for the exclusion of some windy lands as a result of environmental and land-use considerations. Despite these exclusions, the amount of wind resource estimated over the contiguous United States is surprisingly large and has the potential to supply a substantial fraction of the nation's energy needs, even with the use of today's wind turbine technology. Although this study shows that, after exclusions, only about 0.6% of the land area in the contiguous United States is characterized by high wind resource (comparable to that found in windy areas of California where wind energy is being cost-effectively developed), the wind electric potential that could be extracted with today's technology from these areas across the United States is equivalent to about 20% of the current US electric consumption. Future advances in wind turbine technology will further enhance the potential of wind energy. As advances in turbine technology allow areas of moderate wind resource to be developed, more than a tenfold increase in the wind energy potential is possible. These areas, which cover large sections of the Great Plains and are widely distributed throughout many other sections of the country, have the potential of producing more than three times the nation's current electric consumption. 9 refs., 12 figs., 13 tabs.

Elliott, D.L.; Wendell, L.L.; Gower, G.L.

1991-08-01T23:59:59.000Z

2

Windy Gap Firming Project  

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

Windy Gap Firming Project Windy Gap Firming Project Skip Navigation Links Transmission Functions Infrastructure projects Interconnection OASIS OATT Windy Gap Firming Project, Final Environmental Impact Statement, DOE/EIS-0370 (cooperating agency) Western's proposed action is to relocate approximately 3.8 miles of the existing Estes to Lyons 115-kilovolt transmission line, if the Chimney Hollow Reservoir alternative is constructed. The line would be moved outside the area proposed for the reservoir, and Western would ensure the new location would allow the agency to continue to operate and maintain it. Section 2.4.1.4 of the Final Environmental Impact Statement, Volume 1 provides more information on the transmission line relocation proposal. The U.S. Department of the Interior, Bureau of Reclamation is the Lead Agency for the National Environmental Policy Act Review. Cooperating agencies are Western, the U.S. Army Corps of Engineers and Grand County, Colo.

3

Windy Flats | Open Energy Information  

Open Energy Info (EERE)

Flats Flats Jump to: navigation, search Name Windy Flats Facility Windy Flats Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Cannon Power Group Developer Cannon Power Group Location North shore of Columbia River Coordinates 45.699622°, -120.774622° 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":45.699622,"lon":-120.774622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

4

EIS-0370: Windy Gap Firming Project, Colorado | Department of...  

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

0: Windy Gap Firming Project, Colorado EIS-0370: Windy Gap Firming Project, Colorado Summary This EIS, prepared by the Department of the Interior (Bureau of Reclamation, Great...

5

Windy Dog I | Open Energy Information  

Open Energy Info (EERE)

Windy Dog I Windy Dog I Facility Windy Dog I Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Windy Dog I LLC Energy Purchaser Xcel Energy Location Lake Benton MN Coordinates 44.285°, -96.4342° 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":44.285,"lon":-96.4342,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

6

EIS-0400: Granby Pumping Plant Switchyard-Windy Gap Substation Transmission  

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

EIS-0400: Granby Pumping Plant Switchyard-Windy Gap Substation EIS-0400: Granby Pumping Plant Switchyard-Windy Gap Substation Transmission Line Rebuild Project, Grand County, CO EIS-0400: Granby Pumping Plant Switchyard-Windy Gap Substation Transmission Line Rebuild Project, Grand County, CO Summary Western Area Power Administration prepared an EIS, with the U.S. Forest Service, Bureau of Land Management, and Grand County (Colorado) as cooperating agencies, to evaluate the potential environmental impacts of rebuilding a 12-mile, 69-kV electric transmission line in Grand County. The proposed project would rebuild the single-circuit line as a double-circuit transmission line and add a second power transformer. Western identified potentially significant impacts while preparing an EA for this proposal (DOE/EA-1520) and prepared an EIS instead of completing

7

EIS-0400: Granby Pumping Plant Switchyard-Windy Gap Substation Transmission  

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

00: Granby Pumping Plant Switchyard-Windy Gap Substation 00: Granby Pumping Plant Switchyard-Windy Gap Substation Transmission Line Rebuild Project, Grand County, CO EIS-0400: Granby Pumping Plant Switchyard-Windy Gap Substation Transmission Line Rebuild Project, Grand County, CO Summary Western Area Power Administration prepared an EIS, with the U.S. Forest Service, Bureau of Land Management, and Grand County (Colorado) as cooperating agencies, to evaluate the potential environmental impacts of rebuilding a 12-mile, 69-kV electric transmission line in Grand County. The proposed project would rebuild the single-circuit line as a double-circuit transmission line and add a second power transformer. Western identified potentially significant impacts while preparing an EA for this proposal (DOE/EA-1520) and prepared an EIS instead of completing

8

Windy Flats Phase III | Open Energy Information  

Open Energy Info (EERE)

Phase III Phase III Jump to: navigation, search Name Windy Flats Phase III Facility Windy Flats Phase III Sector Wind energy Facility Type Commercial Scale Wind Facility Status Proposed Owner Cannon Power Group Developer Cannon Power Group Location Goldendale WA Coordinates 45.76201437°, -120.5455971° 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":45.76201437,"lon":-120.5455971,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

9

Windy Flats IIa extension | Open Energy Information  

Open Energy Info (EERE)

IIa extension IIa extension Jump to: navigation, search Name Windy Flats IIa extension Facility Windy Flats IIa extension Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Cannon Power Group Developer Cannon Power Group Location North shore of Columbia River Coordinates 45.699622°, -120.774622° 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":45.699622,"lon":-120.774622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

10

Big Windy (Great Escape Restaurant Turbine) | Open Energy Information  

Open Energy Info (EERE)

Big Windy (Great Escape Restaurant Turbine) Big Windy (Great Escape Restaurant Turbine) Jump to: navigation, search Name Big Windy (Great Escape Restaurant Turbine) Facility Big Windy (Great Escape Restaurant Turbine) Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Great Escape Restaurant Location Schiller Park IL Coordinates 41.95547°, -87.865193° 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":41.95547,"lon":-87.865193,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

11

Windy City Renewable Energy LLC | Open Energy Information  

Open Energy Info (EERE)

Windy City Renewable Energy LLC Windy City Renewable Energy LLC Jump to: navigation, search Logo: Windy City Renewable Energy LLC Name Windy City Renewable Energy LLC Place Chicago, Illinois Zip 60606 Sector Solar Product SHW & PV Year founded 2008 Number of employees 1-10 Phone number 312-685-9273 Website http://www.windycityrenewablee Coordinates 41.8817767°, -87.6371461° 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":41.8817767,"lon":-87.6371461,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

12

Windy Point - Siemens Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Windy Point - Siemens Wind Farm Windy Point - Siemens Wind Farm Jump to: navigation, search Name Windy Point - Siemens Wind Farm Facility Windy Point - Siemens Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Cannon/Tuolumne Wind Project Authority Developer Cannon/Tuolumne Wind Project Authority Energy Purchaser Turlock Irrigation District and Walnut Energy Center Authority Location North shore of Columbia River Coordinates 45.699622°, -120.774622° 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":45.699622,"lon":-120.774622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

13

Windy Flats(3Q09 portion) | Open Energy Information  

Open Energy Info (EERE)

Windy Flats(3Q09 portion) Windy Flats(3Q09 portion) Jump to: navigation, search Name Windy Flats(3Q09 portion) Facility Windy Flats(3Q09 portion) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Cannon Power Group Developer Cannon Power Group Location North shore of Columbia River Coordinates 45.699622°, -120.774622° 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":45.699622,"lon":-120.774622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

14

Plowing with precedence: A variant of the windy postman problem  

Science Conference Proceedings (OSTI)

In winter, a common problem is to determine the route that a snowplow should take in order to minimize the distance traveled. We propose a variant of this arc routing problem that is motivated by the fact that deadhead travel over streets that have already ... Keywords: Arc routing, Precedence, Snow plowing, Windy postman problem

Benjamin Dussault; Bruce Golden; Chris GroR; Edward Wasil

2013-04-01T23:59:59.000Z

15

Windy Point (08) Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Point (08) Wind Farm Point (08) Wind Farm Jump to: navigation, search Name Windy Point (08) Wind Farm Facility Windy Point (08) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Cannon Developer Cannon Energy Purchaser Puget Sound Energy Coordinates 45.822958°, -120.819003° 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":45.822958,"lon":-120.819003,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

16

Big Windy Hot Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Big Windy Hot Springs Geothermal Area Big Windy Hot Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Big Windy Hot Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","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":65.2292,"lon":-144.4986,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

17

Windy Point - REpower (09) Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Point - REpower (09) Wind Farm Point - REpower (09) Wind Farm Jump to: navigation, search Name Windy Point - REpower (09) Wind Farm Facility Windy Point - REpower (09) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Cannon/Tuolumne Wind Project Authority Developer Cannon/Tuolumne Wind Project Authority Energy Purchaser Turlock Irrigation District and Walnut Energy Center Authority Location North shore of Columbia River Coordinates 45.699622°, -120.774622° 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":45.699622,"lon":-120.774622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

18

Granby Pumping Plant Switchyard - Windy Gap Substation Transmission Line Rebuild, Grand County, Colorado: Final Environmental Impact Statement Appendices  

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

PUMPING PLANT SWITCHYARD - WINDY GAP PUMPING PLANT SWITCHYARD - WINDY GAP SUBSTATION TRANSMISSION LINE REBUILD, GRAND COUNTY, COLORADO DOE/EIS-0400 Final Environmental Impact Statement Appendices Grand County, Colorado June 2013 Appendix A EIS Scoping Report GRANBY PUMPING PLANT - WINDY GAP TRANSMISSION LINE REBUILD PROJECT ENVIRONMENTAL IMPACT STATEMENT SCOPING SUMMARY REPORT December 4, 2007

19

Record of Decision for the Electrical Interconnection of the Windy Point Wind Energy Project.  

DOE Green Energy (OSTI)

The Bonneville Power Administration (BPA) has decided to offer contract terms for interconnection of 250 megawatts (MW) of power to be generated by the proposed Windy Point Wind Energy Project (Wind Project) into the Federal Columbia River Transmission System (FCRTS). Windy Point Partners, LLC (WPP) propose to construct and operate the proposed Wind Project and has requested interconnection to the FCRTS. The Wind Project will be interconnected at BPA's Rock Creek Substation, which is under construction in Klickitat County, Washington. The Rock Creek Substation will provide transmission access for the Wind Project to BPA's Wautoma-John Day No.1 500-kilovolt (kV) transmission line. BPA's decision to offer terms to interconnect the Wind Project is consistent with BPA's Business Plan Final Environmental Impact Statement (BP EIS) (DOE/EIS-0183, June 1995), and the Business Plan Record of Decision (BP ROD, August 15, 1995). This decision thus is tiered to the BP ROD.

United States. Bonneville Power Administration.

2006-11-01T23:59:59.000Z

20

Granby Pumping Plant Switchyard - Windy Gap Substation Transmission Line Rebuild, Grand County, Colorado: Final Environmental Impact Statement Executive Summary  

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

PUMPING PLANT SWITCHYARD - WINDY GAP PUMPING PLANT SWITCHYARD - WINDY GAP SUBSTATION TRANSMISSION LINE REBUILD, GRAND COUNTY, COLORADO DOE/EIS-0400 Final Environmental Impact Statement Executive Summary Grand County, Colorado June 2013 Granby Pumping Plant-Windy Gap Substation Transmission Line Rebuild Project FEIS Executive Summary ES-1 EXECUTIVE SUMMARY Introduction Western Area Power Administration (Western), a power marketing administration within the U.S. Department of Energy (DOE), is proposing to rebuild and upgrade the Granby Pumping Plant Switchyard-Windy Gap Substation transmission line in Grand County, Colorado (Grand County). This Environmental Impact Statement (EIS) analyzes the impacts associated with the proposal to remove approximately 13.6 miles of 69-kilovolt (kV) transmission line, construct approximately

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


21

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

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

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

22

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

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

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

23

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

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

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

24

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

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

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

25

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

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

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

26

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

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

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

27

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

Gasoline and Diesel Fuel Update (EIA)

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

28

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

29

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

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

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

30

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

31

Record of Decision for the Electrical Interconnection of the Windy Point Wind Energy Project (DOE/EIS-0183) (11/29/06)  

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

Windy Point Wind Energy Project Windy Point Wind Energy Project November 2006 B o n n e v i l l e P o w e r A d m i n i s t r a t i o n 1 INTRODUCTION The Bonneville Power Administration (BPA) has decided to offer contract terms for interconnection of 250 megawatts (MW) of power to be generated by the proposed Windy Point Wind Energy Project (Wind Project) into the Federal Columbia River Transmission System (FCRTS). Windy Point Partners, LLC (WPP) propose to construct and operate the proposed Wind Project and has requested interconnection to the FCRTS. 1 The Wind Project will be interconnected at BPA's Rock Creek Substation, which is under construction in Klickitat County, Washington. The Rock Creek Substation will provide transmission access for the Wind Project to BPA's Wautoma-John Day No.1 500-kilovolt (kV) transmission line.

32

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

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

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

33

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

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

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

34

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

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

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

35

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

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

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

36

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

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

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

37

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

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

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

38

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

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

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

39

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

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

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

40

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

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

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

Note: This page contains sample records for the topic "total windy land" 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

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

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

42

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

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

43

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

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

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

44

A wind turbine blade is ready to be lifted into place at the Windy Point Wind Farm in the Columbia River Gorge. Photo: C. Bruce Forster  

E-Print Network (OSTI)

A wind turbine blade is ready to be lifted into place at the Windy Point Wind Farm in the Columbia with juvenile bypass systems to keep the smolts out of the turbines. But given the gravity of the [salmon 1956 12 MW Chief Joseph Columbia, WA 1958 2,458 MW Cougar McKenzie, OR 1963 25 MW Detroit Santiam

45

STOCK AND DISTRIBUTION OF TOTAL AND CORN-DERIVED SOIL ORGANIC CARBON IN AGGREGATE AND PRIMARY PARTICLE FRACTIONS FOR DIFFERENT LAND USE AND SOIL MANAGEMENT PRACTICES  

Science Conference Proceedings (OSTI)

Land use, soil management, and cropping systems affect stock, distribution, and residence time of soil organic carbon (SOC). Therefore, SOC stock and its depth distribution and association with primary and secondary particles were assessed in long-term experiments at the North Appalachian Experimental Watersheds near Coshocton, Ohio, through *13C techniques. These measurements were made for five land use and soil management treatments: (1) secondary forest, (2) meadow converted from no-till (NT) corn since 1988, (3) continuous NT corn since 1970, (4) continuous NT corn-soybean in rotation with ryegrass since 1984, and (5) conventional plow till (PT) corn since 1984. Soil samples to 70-cm depth were obtained in 2002 in all treatments. Significant differences in soil properties were observed among land use treatments for 0 to 5-cm depth. The SOC concentration (g C kg*1 of soil) in the 0 to 5-cm layer was 44.0 in forest, 24.0 in meadow, 26.1 in NT corn, 19.5 in NT corn-soybean, and 11.1 i n PT corn. The fraction of total C in corn residue converted to SOC was 11.9% for NT corn, 10.6% for NT corn-soybean, and 8.3% for PT corn. The proportion of SOC derived from corn residue was 96% for NT corn in the 0 to 5-cm layer, and it decreased gradually with depth and was 50% in PT corn. The mean SOC sequestration rate on conversion from PT to NT was 280 kg C ha*1 y*1. The SOC concentration decreased with reduction in aggregate size, and macro-aggregates contained 15 to 35% more SOC concentration than microaggregates. In comparison with forest, the magnitude of SOC depletion in the 0 to 30-cm layer was 15.5 Mg C/ha (24.0%) in meadow, 12.7 Mg C/ha (19.8%) in NT corn, 17.3 Mg C/ha (26.8%) in NT corn-soybean, and 23.3 Mg C/ha (35.1%) in PT corn. The SOC had a long turnover time when located deeper in the subsoil.

Puget, P; Lal, Rattan; Izaurralde, R Cesar C.; Post, M; Owens, Lloyd

2005-04-01T23:59:59.000Z

46

Windy Gap Firming Project  

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

action is to relocate approximately 3.8 miles of the existing Estes to Lyons 115-kilovolt transmission line, if the Chimney Hollow Reservoir alternative is constructed. The line...

47

ORNL DAAC, Land Validation Data in Mercury, June 4, 2002  

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

collected at field sites for comparison with satellite-derived products. A total of 51 land validation data sets are currently registered in Mercury. The data include land...

48

EOS Land Validation Project  

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

EOS Land Validation The EOS Land Validation Project Overview EOS Land Validation Logo The objective of the EOS Land Validation Project is to achieve consistency, completeness,...

49

Solar Land Use | Open Energy Information  

Open Energy Info (EERE)

Land Use Land Use Jump to: navigation, search (The following text is derived from a National Renewable Energy Laboratory report on solar land use in the United States.)[1] One concern regarding large-scale deployment of solar energy is its potentially significant land use. This article summarizes data and analysis of the land use associated with U.S. utility-scale ground-mounted photovoltaic (PV) and concentrating solar power (CSP) facilities. This article presents total and direct land-use results for various solar technologies and system configurations, on both a capacity and an electricity-generation basis. The total area corresponds to all land enclosed by the site boundary. The direct area comprises land directly occupied by solar arrays, access roads, substations, service buildings, and

50

EIA - Greenhouse Gas Emissions - Land use  

Gasoline and Diesel Fuel Update (EIA)

6. Land use 6. Land use 6.1. Total land use, land use change, and forests This chapter presents estimates of carbon sequestration (removal from the atmosphere) and emissions (release into the atmosphere) from forests, croplands, grasslands, and residential areas (urban trees, grass clippings, and food scraps) in the United States. In 2008, land use, land use change, and forests were responsible for estimated net carbon sequestration of 940 MMTCO2e (Table 31), representing 16 percent of total U.S. CO2 emissions. The largest sequestration category in 2008 was forest lands and harvested wood pools,49 with estimated sequestration increasing from 730 MMTCO2e in 1990 to 792 MMTCO2e in 2008. The second-largest carbon sequestration category was urban trees,50 responsible for 57 MMTCO2e in 1990 and 94

51

Land Turtles  

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

Turtles Turtles Nature Bulletin No. 157 May 29, 1948 Forest Preserve District of Cook County William N. Erickson, President Roberts Mann, Supt. of Conservation LAND TURTLES Turtles are four-legged reptiles that originated before the dinosaurs appeared, some 175 million years ago. The distinguishing feature of the turtle is its shell, varying in shape and markings with the different species: an arched upper shell grown fast to the backbone, and a flat lower shell grown fast to the breastbone, the two connected on either side by a bony bridge. In some species, like the box turtles, the lower shell is hinged, enabling the animal to completely conceal its head, tail and limbs by closing the two shells together. Most turtles live in water all or part of the time, but all of them lay their eggs on land, and neither the nest nor the young is attended by the parents. Each species has its own method of nest construction, using the hind legs to dig a hole in the ground, but the eggs are covered and left to be hatched by the heat of the sun. The eggs are relished by many animals such as skunks and squirrels; the young, before their armor hardens, are devoured by birds, mammals, fishes and other turtles.

52

MODIS Land Products Subsets  

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

Shaaf, and the FLUXNET validation communities to choose sites and to identify the land products needed for validation. We also worked with MODAPS on subsetting the Land...

53

Africa Land Use (1980)  

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

Africa Land Use (1980) image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNLCDIAC-92, NDP-055. Carbon Dioxide Information...

54

Land Validation web site  

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

web site A web site is now available for the Land Validation project. It was created with the purpose of facilitating communication among MODIS Land Validation Principal...

55

Agriculture, land use, and commercial biomass energy  

SciTech Connect

In this paper we have considered commercial biomass energy in the context of overall agriculture and land-use change. We have described a model of energy, agriculture, and land-use and employed that model to examine the implications of commercial biomass energy or both energy sector and land-use change carbon emissions. In general we find that the introduction of biomass energy has a negative effect on the extent of unmanaged ecosystems. Commercial biomass introduces a major new land use which raises land rental rates, and provides an incentive to bring more land into production, increasing the rate of incursion into unmanaged ecosystems. But while the emergence of a commercial biomass industry may increase land-use change emissions, the overall effect is strongly to reduce total anthropogenic carbon emissions. Further, the higher the rate of commercial biomass energy productivity, the lower net emissions. Higher commercial biomass energy productivity, while leading to higher land-use change emissions, has a far stronger effect on fossil fuel carbon emissions. Highly productive and inexpensive commercial biomass energy technologies appear to have a substantial depressing effect on total anthropogenic carbon emissions, though their introduction raises the rental rate on land, providing incentives for greater rates of deforestation than in the reference case.

Edmonds, J.A.; Wise, M.A.; Sands, R.D.; Brown, R.A.; Kheshgi, H.

1996-06-01T23:59:59.000Z

56

MODIS Land Product Subsets  

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

Validation > MODIS Land Subsets Validation > MODIS Land Subsets MODIS Land Product Subsets Overview Earth, Western Hemisphere The goal of the MODIS Land Product Subsets project is to provide summaries of selected MODIS Land Products for the community to use for validation of models and remote-sensing products and to characterize field sites. Output files contain pixel values of MODIS land products in text format and in GeoTIFF format. In addition, data visualizations (time series plots and grids showing single composite periods) are available. MODIS Land Product Subsets Resources The following MODIS Land Product Subsets resources are maintained by the ORNL DAAC: MODIS Land Products Offered Background Citation Policy Methods and formats MODIS Sinusoidal Grid - Google Earth KMZ Classroom Exercises

57

land | OpenEI  

Open Energy Info (EERE)

land land Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (5 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

58

national total  

U.S. Energy Information Administration (EIA)

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

59

Gridded state maps of wind electric potential  

DOE Green Energy (OSTI)

Estimates of wind electric potential and available windy land area in the contiguous United States, calculated in 1991, have been revised by incorporating actual data on the distribution of environmental exclusion areas where wind energy development would be prohibited or severely restricted. The new gridded data base with actual environmental exclusion areas, in combination with a 'moderate' land-use scenario, is the basis for developing the first gridded maps of available windy land and wind electric potential. Gridded maps for the 48 contiguous states show the estimated windy land area and electric potential for each grid cell (1/40 latitude by 1/30 longitude). These new maps show the distribution of the estimated wind electric potential and available windy land within an individual state, unlike previous national maps that only show estimates of the total wind electric potential for the state as a whole. While changes for some individual states are fairly large (in percentage), on a national basis, the estimated windy land area and wind electric potential are only about 1% to 2% higher than estimated in 1991.

Schwartz, M.N.; Elliott, D.L.; Gower, G.L.

1992-10-01T23:59:59.000Z

60

Land animal sizes  

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

Land animal sizes Name: tamar c Status: NA Age: NA Location: NA Country: NA Date: Around 1993 Question: Why are today's land mammals so much smaller than prehistoric mammals?...

Note: This page contains sample records for the topic "total windy land" 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

The Common Land Model  

Science Conference Proceedings (OSTI)

The Common Land Model (CLM) was developed for community use by a grassroots collaboration of scientists who have an interest in making a general land model available for public use and further development. The major model characteristics include ...

Yongjiu Dai; Xubin Zeng; Robert E. Dickinson; Ian Baker; Gordon B. Bonan; Michael G. Bosilovich; A. Scott Denning; Paul A. Dirmeyer; Paul R. Houser; Guoyue Niu; Keith W. Oleson; C. Adam Schlosser; Zong-Liang Yang

2003-08-01T23:59:59.000Z

62

School Land Board (Texas)  

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

The School Land Board oversees the use of land owned by the state or held in trust for use and benefit by the state or one of its departments, boards, or agencies. The Board is responsible for...

63

LBA Land Use and Land Cover Data Set Released  

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

Land Use and Land Cover Data Set Released The ORNL DAAC announces the release of an image data set from the Land Use and Land Cover science theme, a component of the LBA-ECO Large...

64

Total Imports  

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

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

65

EIS-0370: Windy Gap Firming Project, Colorado  

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

This EIS, prepared by the Department of the Interior (Bureau of Reclamation, Great Plains Region), with DOE's Western Area Power Administration as a cooperating agency, evaluates the environmental impacts of a proposal to construct new water storage reservoir capacity southwest of Loveland, Colorado. Western has jurisdiction over the transmission line that would be relocated if the proposed action is implemented and would market additional power that may be generated as a result of the project.

66

EOS Land Validation Presentations  

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

EOS Land Validation Presentations EOS Land Validation Presentations Meeting: Land Cover Validation Workshop Date: February 2, 2004 Place: Boston, MA Title: Validation Data Support Activities at the ORNL DAAC (Power Point) Presenter: Bob Cook Meeting: Fall 2003 American Geophysical Union (AGU) Meeting Date: December 9, 2003 Place: San Francisco, CA Title: Ground-Based Data Supporting the Validation of MODIS Land Products (Power Point) Presenter: Larry Voorhees Meeting: Terra and Aqua Products Review Date: March 2003 Place: NASA HQ Title: Supporting the Validation of MODIS Land Products (Power Point) Presenter: Larry Voorhees Meeting: Terra and Aqua Products Review Date: March 2003 Place: NASA HQ Title: MODIS Land Summary (Power Point) Presenter: Chris Justice, University of Maryland Meeting: Spring 2002 American Geophysical Union (AGU) Meeting

67

MODIS Land Products Subsets  

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

ORNL DAAC MODIS Land Product Subsets MODIS Collection 5 Global Subsetting and Visualization Tool Create subset for user selected site, area, product, and time period. Data for...

68

MODIS Land Products Subsets  

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

Citation When using subsets of MODIS Land Products from the ORNL DAAC, please use the citation: Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC). 2011....

69

National Land Cover Data  

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

products was done by the Multi-Resolution Land Characterization Consortium and EROS Data Center (U.S. Geological Survey). The Consortium includes the Environmental Monitoring and...

70

Sugar Land, TX -  

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

Petroleum Engineering Alumnus Recognized by Secretary of Energy for Work at National Lab Sugar Land, TX - The National Energy Technology Laboratory is proud to announce that...

71

Hierarchical Marginal Land Assessment for Land Use Planning  

SciTech Connect

Marginal land provides an alternative potential for food and bioenergy production in the face of limited land resources; however, effective assessment of marginal lands is not well addressed. Concerns over environmental risks, ecosystem services and sustainability for marginal land have been widely raised. The objective of this study was to develop a hierarchical marginal land assessment framework for land use planning and management. We first identified major land functions linking production, environment, ecosystem services and economics, and then classified land resources into four categories of marginal land using suitability and limitations associated with major management goals, including physically marginal land, biologically marginal land, environmental-ecological marginal land, and economically marginal land. We tested this assessment framework in south-western Michigan, USA. Our results indicated that this marginal land assessment framework can be potentially feasible on land use planning for food and bioenergy production, and balancing multiple goals of land use management. We also compared our results with marginal land assessment from the Conservation Reserve Program (CRP) and land capability classes (LCC) that are used in the US. The hierarchical assessment framework has advantages of quantitatively reflecting land functions and multiple concerns. This provides a foundation upon which focused studies can be identified in order to improve the assessment framework by quantifying high-resolution land functions associated with environment and ecosystem services as well as their criteria are needed to improve the assessment framework.

Kang, Shujiang [ORNL; Post, Wilfred M [ORNL; Wang, Dali [ORNL; Nichols, Dr Jeff A [ORNL; Bandaru, Vara Prasad [ORNL

2013-01-01T23:59:59.000Z

72

csp land use | OpenEI Community  

Open Energy Info (EERE)

csp land use Home Sfomail's picture Submitted by Sfomail(48) Member 25 June, 2013 - 12:10 Solar Land Use Data on OpenEI acres csp land use how much land land requirements pv land...

73

how much land | OpenEI Community  

Open Energy Info (EERE)

by Sfomail(48) Member 25 June, 2013 - 12:10 Solar Land Use Data on OpenEI acres csp land use how much land land requirements pv land use solar land use square miles I'm...

74

land requirements | OpenEI Community  

Open Energy Info (EERE)

by Sfomail(48) Member 25 June, 2013 - 12:10 Solar Land Use Data on OpenEI acres csp land use how much land land requirements pv land use solar land use square miles I'm...

75

Water, Land and People  

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

Water, Land and People Water, Land and People Nature Bulletin No. 251 January 8, 1983 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation WATER, LAND AND PEOPLE "Water, Land and People" is the title of a book which, like "Road to Survival", should be read by every American. Water, and its uses or control, has become a vital national problem. Some places, some years, we have too much of it and suffer disastrous floods. Elsewhere we have too little. In cities like New York and Los Angeles -- even in many inland towns -- and in the western lands which depend upon irrigation, the demand far exceeds the supply. Our Congress is beseeched for huge appropriations to provide flood control, navigation, electric power and irrigation.

76

Land-Use and Ecosystems  

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

Land-Use and Ecosystems Terrestrial Carbon Management Data Sets and Analyses National Land Cover Data 1992 (2005), and 2001 (2008) Carbon Flux to the Atmosphere from Land-Use...

77

NASA Land Validation Campaign Data  

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

Products > Validation NASA Land Validation Campaign Data Land Validation Campaigns The goal of the EOS Validation Program is the comprehensive assessment of all EOS science data...

78

land.PDF  

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

2 2 AUDIT REPORT SALE OF LAND AT OAK RIDGE U.S. DEPARTMENT OF ENERGY OFFICE OF INSPECTOR GENERAL OFFICE OF AUDIT SERVICES May 2001 DEPARTMENT OF ENERGY Washington, DC 20585 May 7, 2001 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman (Signed) Inspector General SUBJECT: INFORMATION: Audit Report on the "Sale of Land at Oak Ridge" BACKGROUND Under the Atomic Energy Act of 1954, the U.S. Department of Energy (Department) may sell land in the performance of identified programmatic functions. The functions specified in the Atomic Energy Act include encouraging scientific and industrial progress, controlling special nuclear

79

Conversion of agricultural land to urban use  

SciTech Connect

The large amount of land lost each year to urbanization has led nearly all states to adopt legislation that grants tax preferences to agricultural land use. Several studies have analyzed the effects of such policies on the rate of land development and on the total amount of land eventually developed. However, these studies have only analyzed permanent tax-rate changes despite the fact that most such changes are temporary. A distinction is made in this study between temporary, permanent, anticipated, and unanticipated tax-rate increases. Using a hedonic approach, the elasticity of supply of urban fringe land in McHenry County, Illinois is estimated to be approximately 0.30, which indicates that the amount of land converted to urban use is unlikely to be affected much by these polices. The hedonic approach as usually implemented is shown to lead to inconsistent parameter estimates. A consistent estimation procedure is proposed that produces testable cross-equation restrictions. A restriction is implied in the empirical section of this study by the use of the Box-Cox transformation to generalize functional form; it is tested and is not rejected. However, little is known about the small-sample properties of this transformation. To rectify this, a Monte Carlo study is conducted of the performance of Lagrange Multiplier tests for incorrect functional form and heteroskedasticity in a model that uses this transformation.

McMillen, D.P.

1987-01-01T23:59:59.000Z

80

Sugar Land, TX -  

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

Alumnus Recognized by Secretary of Energy for Work at National Lab Sugar Land, TX - The National Energy Technology Laboratory is proud to announce that U.S. Air Force Academy...

Note: This page contains sample records for the topic "total windy land" 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

National Land Cover Data  

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

National Land Cover Data National Land Cover Data Metadata also available as Metadata: q Identification_Information q Data_Quality_Information q Spatial_Data_Organization_Information q Spatial_Reference_Information q Entity_and_Attribute_Information q Distribution_Information q Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: United States Geological Survey Publication_Date: Unpublished Material Title: National Land Cover Data Edition: 01 Geospatial_Data_Presentation_Form: raster digital data Other_Citation_Details: Classification and processing of the orginal remote sensing products was done by the Multi-Resolution Land Characterization Consortium and EROS Data Center (U.S. Geological Survey). The Consortium includes the

82

MODIS Land Products Subsets  

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

(Meter) MCD12Q1 LC MODISTerra+Aqua Lan Cover ( LC ) Type Yearly L3 Global 500m SIN Grid annual 500 MCD12Q2 LCD MODISTerra+Aqua Land Cover Dynamics ( LCD ) Yearly L3 Global...

83

OpenEI - land  

Open Energy Info (EERE)

en.openei.orgdatasetstaxonomyterm4150 en Land use requirements for ground-mounted solar power facilities. http:en.openei.orgdatasetsnode454

This dataset is part of...

84

Future land use plan  

Science Conference Proceedings (OSTI)

The US Department of Energy`s (DOE) changing mission, coupled with the need to apply appropriate cleanup standards for current and future environmental restoration, prompted the need for a process to determine preferred Future Land Uses for DOE-owned sites. DOE began the ``Future Land Use`` initiative in 1994 to ensure that its cleanup efforts reflect the surrounding communities` interests in future land use. This plan presents the results of a study of stakeholder-preferred future land uses for the Brookhaven National Laboratory (BNL), located in central Long Island, New York. The plan gives the Laboratory`s view of its future development over the next 20 years, as well as land uses preferred by the community were BNL ever to cease operations as a national laboratory (the post-BNL scenario). The plan provides an overview of the physical features of the site including its history, topography, geology/hydrogeology, biological inventory, floodplains, wetlands, climate, and atmosphere. Utility systems and current environmental operations are described including waste management, waste water treatment, hazardous waste management, refuse disposal and ground water management. To complement the physical descriptions of the site, demographics are discussed, including overviews of the surrounding areas, laboratory population, and economic and non-economic impacts.

NONE

1995-08-31T23:59:59.000Z

85

Energy and land use  

DOE Green Energy (OSTI)

This report addresses the land use impacts of past and future energy development and summarizes the major federal and state legislation which influences the potential land use impacts of energy facilities and can thus influence the locations and timing of energy development. In addition, this report describes and presents the data which are used to measure, and in some cases, predict the potential conflicts between energy development and alternative uses of the nation's land resources. The topics section of this report is divided into three parts. The first part describes the myriad of federal, state and local legislation which have a direct or indirect impact upon the use of land for energy development. The second part addresses the potential land use impacts associated with the extraction, conversion and combustion of energy resources, as well as the disposal of wastes generated by these processes. The third part discusses the conflicts that might arise between agriculture and energy development as projected under a number of DOE mid-term (1990) energy supply and demand scenarios.

Not Available

1981-12-01T23:59:59.000Z

86

State and National Wind Resource Potential at Various Capacity Factor Ranges for 80 and 100 Meters  

Wind Powering America (EERE)

February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) State Total (km 2 ) Excluded 2 (km 2 ) Available (km 2 ) Available % of State % of Total Windy Land Excluded Installed Capacity 3 (MW) Annual Generation (GWh) Alabama 15.9 13.3 2.6 0.00% 83.4% 13.2 42 Alaska 267,897.7 209,673.4 58,224.3 3.87% 78.3% 291,121.3 1,051,210 Arizona 611.7 417.3 194.4 0.07% 68.2% 972.1 3,100 Arkansas 1,130.0 687.5 442.5 0.32% 60.8% 2,212.5 7,215 C lif i 11 456 4 8 650 1 2 806 3 0 69% 75 5% 14 031 7 49 073 Estimates of Windy 1 Land Area and Wind Energy Potential, by State, for areas >= 35% Capacity Factor at 80m These estimates show, for each of the 50 states and the total U.S., the windy land area with a gross capacity factor (without losses) of 35% and greater at 80-m height above ground and the wind energy potential that could be possible from development of the "available" windy land area

87

Land Use History  

E-Print Network (OSTI)

This study focuses on the cultural-historical environment of the 88,900-acre (35,560-ha) Valles Caldera National Preserve (VCNP) over the past four centuries of Spanish, Mexican, and U.S. governance. It includes a review and synthesis of available published and unpublished historical, ethnohistorical, and ethnographic literature about the human occupation of the area now contained within the VCNP. Documents include historical maps, texts, letters, diaries, business records, photographs, land and mineral patents, and court testimony. This study presents a cultural-historical framework of VCNP land use that will be useful to land managers and researchers in assessing the historical ecology of the property. It provides VCNP administrators and agents the cultural-historical background needed to develop management plans that acknowledge traditional associations with the Preserve, and offers managers additional background for structuring and acting on consultations with affiliated communities.

United States; Forest Service; Kurt F. Anschuetz

2007-01-01T23:59:59.000Z

88

Land use and energy  

Science Conference Proceedings (OSTI)

This report provides estimates of the amount of land required by past and future energy development in the United States and examines major federal legislation that regulates the impact of energy facilities on land use. An example of one land use issue associated with energy development - the potential conflict between surface mining and agriculture - is illustrated by describing the actual and projected changes in land use caused by coal mining in western Indiana. Energy activities addressed in the report include extraction of coal, oil, natural gas, uranium, oil shale, and geothermal steam; uranium processing; preparation of synfuels from coal; oil refineries; fossil-fuel, nuclear, and hydro-electric power plants; biomass energy farms; and disposal of solid wastes generated during combustion of fossil fuels. Approximately 1.1 to 3.3 x 10/sup 6/ acres were devoted to these activities in the United States in 1975. As much as 1.8 to 2.0 x 10/sup 6/ additional acres could be required by 1990 for new, nonbiomass energy development. The production of grain for fuel ethanol could require an additional 16.9 to 55.7 x 10/sup 6/ acres by 1990. Federal laws that directly or indirectly regulate the land-use impacts of energy facilities include the National Environmental Protection Act, Clean Air Act, Federal Water Pollution Control Act, Surface Mining Control and Reclamation Act, and Coastal Zone Management Act. The major provisions of these acts, other relevant federal regulations, and similar state and local regulatons are described in this report. Federal legislation relating to air quality, water quality, and the management of public lands has the greatest potential to influence the location and timing of future energy development in the United States.

Robeck, K.E.; Ballou, S.W.; South, D.W.; Davis, M.J.; Chiu, S.Y.; Baker, J.E.; Dauzvardis, P.A.; Garvey, D.B.; Torpy, M.F.

1980-07-01T23:59:59.000Z

89

MODIS Land Products Subsets  

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

Presentations Presentations Web and Web Services based tool that provides Subsets and Visualization of MODIS land products to facilitate land validation and field site characterization. S.K. Santhana Vannan; R. B. Cook; B. E. Wilson. AGU Fall Meeting, San Francisco, CA, December 14-18 2009 MODIS Land Product Subsets,S.K. Santhana Vannan; R. B. Cook. November, 2009 MODIS Web Service, S.K. Santhana Vannan. ORNL DAAC UWG Meeting, May 2009 Subsetting Tools for MODIS Land Products: Time-series data for field sites, R. B. Cook, S. M. Margle, S. K. Santhana Vannan, S. K. Holladay, and T. W. Beaty. Global Vegetation Workshop, Missoula MT, August 8-10, 2006 MODIS ASCII Subsets, R. B. Cook. May 2006 Subsets of Remote Sensing Products for AmeriFlux Sites: MODIS ASCII Subsets, AmeriFlux Annual Meeting, R. B. Cook, S. M. Margle, S. K. Holladay, F. A. Heinsch, and C. B. Schaaf. October 5-7, 2004, Boulder, Colorado

90

MODIS Land Products Subsets  

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

Introduction Introduction The goal of the MODIS Land Product Subsets project is to provide summaries of selected MODIS Land Products for the community to use for validation of models and remote-sensing products, and to characterize field sites. The MODIS Land Product Subsets are derived from MODIS products that were generated with Collection 4 or later algorithms. Please be advised that these products are subject to continual review and revision. The MODIS land product subsets are provided in ASCII and GeoTIFF format. The subsets are stored as individual text(ASCII) files, each file represents one field site and one MODIS product.The ASCII data covers 7x7 km of the field site. These ASCII files contain comma-delimited rows of parameter values (image bands) for each pixel in the selected area. Each row in the file will contain data from one 8-day, 16-day, or annual period (depending on the temporal frequency of the data product represented).

91

County Land Preservation and Use Commissions (Iowa)  

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

This ordinance creates Land Preservation and Use Commissions in each county to provide for the orderly use and development of land, to protect agricultural land from nonagricultural development,...

92

MODIS Land Products Subsets  

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

Global Subsetting and Visualization Tool Global Subsetting and Visualization Tool The Global Subsetting and Visualization Tool provides customized subsets of MODIS Land products in ASCII format on demand for any location on Earth. Users select a site (either from a picklist or by entering the site's geographic coordinates) and the area surrounding that site, from one pixel up to 201 x 201 km. The tool is expected to take up to 60 minutes to complete the processing, and the tool will send you an email message containing the URL where you can access the output. The tool provides time series plots of the measurement, an ASCII file of the pixel values for the selected product along with quality information, average and standard deviations for the area selected, and a file that can be imported directly into GIS software. In addition we provide a land cover grid (IGBP classification) of the area, along with an estimate of heterogeneity (Shannon richness and evenness).

93

Land Stewardship | Department of Energy  

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

Land Stewardship Land Stewardship Land Stewardship Mission The team advocates improved ecosystem health on LM properties in accordance with DOE Order 430.1B, Real Property Asset Management; federal regulations, such as the Endangered Species Act, the Noxious Weed Act, and the Wetlands and Floodplains Act; and in consideration of LM agreements with regulatory agencies and tribes. The team advocates identifying and proposing land management improvements on LM sites that are beneficial to ecosystems and improve remedy sustainability. Improvements are implemented with consideration of adjacent land uses, owners, and political entities. Success is defined when measurable parameters are achieved. Scope The team identifies and evaluates proposals to enhance ecosystem health at

94

MODIS Land Products Subsets  

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

methods methods This section describes methods used to generate MODIS Land Subsets for Collection 4 and Collection 5 data products. Methods for Selected Sites (Collections 4 and 5) Methods for North America Tool (Collection 4) Methods for the Global Tool (Collection 5) Methods for Selected Sites (Collection 4 and 5) Source for Selected Site Data: Full MODIS scenes (1200-km x 1200-km) are initially subset to 11-km x 31-km (Collection 4) or 25-km x 25-km (Collection 5) by the MODAPS; these initial subsets contain the field site or flux tower. Reformatting and additional subsetting to 7-km x 7-km containing the field site or flux tower are done by the ORNL DAAC. Tools Used: The ORNL DAAC uses the MODIS Reprojection Tool (MRT) to reformat the MODIS data from HDF-EOS to binary format. A tool developed at ORNL is then used to convert the binary format to ASCII. The MRT is available from the Land Processes DAAC. Whereas the MRT can also be used to reproject data from its native projection to other projections, ORNL chose to forgo the resampling associated with reprojection to minimize data manipulation and distortion. The MOD12Q1 Land Cover Collection 3 data are in I-Sin projection, and the Collection 4 and Collection 5 data are in Sinusoidal projection.

95

Chapter 37 Land Disposal Restrictions (Kentucky) | Department...  

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

7 Land Disposal Restrictions (Kentucky) Chapter 37 Land Disposal Restrictions (Kentucky) Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor...

96

Spatial decision support system for land assessment  

Science Conference Proceedings (OSTI)

Keywords: GIS, agriculture planning, artificial intelligence, decision support system, expert system, geoinformatics, geoinformation system, land evaluation, land use planning

Cludio Chauke Nehme; Margareth Simes

1999-11-01T23:59:59.000Z

97

land use | OpenEI  

Open Energy Info (EERE)

use use Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (5 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

98

land requirements | OpenEI  

Open Energy Info (EERE)

requirements requirements Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (5 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

99

LBA Land Use and Land Cover Data Set Released  

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

LBA Land Use and Land Cover Data Sets Released LBA Land Use and Land Cover Data Sets Released The ORNL DAAC announces the release of two image data sets from the Land Use and Land Cover science theme (LC-15 team), a component of the LBA-ECO Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). LBA-ECO LC-15 SRTM30 Digital Elevation Model Data, Amazon Basin: 2000 . Data set prepared by S. Saatchi. This data set provides a subset of the SRTM30 Digital Elevation Model (DEM) elevation and standard deviation data (STD of the data points used in the averaging) for the Amazon Basin. SRTM30 is a near-global digital elevation model (DEM) comprising a combination of data from the Shuttle Radar Topography Mission (SRTM), flown in February, 2000, and the earlier U.S. Geological Survey's GTOPO30 data set.

100

MODIS Land Products Subsets  

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

Geography of the MODIS Land Subsets for selected Field Sites Geography of the MODIS Land Subsets for selected Field Sites The 7- x 7-km grid containing the field or tower site is provided to enable comparison of pixel values of MODIS products with field data collected at a site. The values are intended to be examined over time either as a collection of individual values or combined (e.g., the average and range) within a 3- x 3-km grid or a 5- x 5-km grid around the site. Examples of analyses using the ASCII subset data can be found in presentations. If users would like to examine the MODIS data spatially in a map, we suggest that they obtain the GeoTIFF subsets or MODIS products from the LP DAAC. Please note that the grid and pixel sizes are not exact multiples of 1 km, but are only approximations. For instance, the grid and pixel size for the 1 km Sinusoidal grid is approximately 926 m. For additional information, please view the MODIS Web site.

Note: This page contains sample records for the topic "total windy land" 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

Tropical Africa: Total Forest Biomass (By Country)  

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

Tropical Africa: Total Forest Biomass (By Country) Tropical Africa: Total Forest Biomass (By Country) image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNL/CDIAC-92, NDP-055. Carbon Dioxide Information Analysis Center, U.S. Department of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. More Maps Calculated Actual Aboveground Live Biomass in Forests (1980) Maximum Potential Biomass Density Land Use (1980) Area of Closed Forests (By Country) Mean Biomass of Closed Forests (By County) Area of Open Forests (By Country) Mean Biomass of Open Forests (By County) Percent Forest Cover (By Country) Population Density - 1990 (By Administrative Unit) Population Density - 1980 (By Administrative Unit) Population Density - 1970 (By Administrative Unit)

102

Stakeholder Engagement and Outreach: Resources for Public Lands  

Wind Powering America (EERE)

Resources Public Power Regional Activities State Activities State Lands Siting Resources for Public Lands This page lists wind-related resources and tools such as publications, Web resources, and news about public lands. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 24 records found. Page 1 of 5, Sorted by descending date Filtered by: Public Lands 1 2 3 4 5 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title

103

IDRISI Land Change Modeler | Open Energy Information  

Open Energy Info (EERE)

IDRISI Land Change Modeler IDRISI Land Change Modeler Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IDRISI Land Change Modeler Agency/Company /Organization: Clark Labs Sector: Land Focus Area: Agriculture, Forestry Topics: Co-benefits assessment, - Environmental and Biodiversity, Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Desktop Application Website: www.clarklabs.org/ Cost: Paid IDRISI Land Change Modeler Screenshot References: IDRISI Land Change Modeler[1] Overview "The Land Change Modeler is revolutionary land cover change analysis and prediction software with tools to analyze, measure and project the impacts of such change on habitat and biodiversity." References ↑ "IDRISI Land Change Modeler" Retrieved from

104

MODIS Land Products Subsets  

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

MODIS ASCII Subset Products - FTP Access MODIS ASCII Subset Products - FTP Access All of the MODIS ASCII Subsets are available from the ORNL DAAC's ftp site. The directory structure of the ftp site is based on the abbreviated names for the MODIS Products. Terra MODIS products are abbreviated "MOD", Aqua MODIS products are abbreviated "MYD" and combined Terra and Aqua MODIS products are abbreviated "MCD". The abbreviated names also include the version number (also known as collection). For specific products, please refer to the following table: Product Acronym Spatial Resolution Temporal Frequency Terra V005 SIN Aqua V005 SIN Terra/Aqua Combined V005 SIN Surface Reflectance SREF 500 m 8 day composites MOD09A1 MYD09A1 ---------- Land Surface Temperature and Emissivity TEMP 1 km 8 day composites MOD11A2 MYD11A2 ----------

105

MODIS Land Products Subsets  

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

Introduction Introduction Collection 5 The MODIS data from the Terra and Aqua satellites are being reprocessed using revised algorithms beginning in September 2006. This new set of MODIS Products is called Collection 5. To view the product changes that took place in going from Collection 4 to Collection 5, please visit the following Web site: http://landweb.nascom.nasa.gov/cgi-bin/QA_WWW/newPage.cgi?fileName=MODLAND_C005_changes The ORNL DAAC provides subsets of the Collection 5 MODIS Land Products. Investigators from around the world have shown a great deal of interest in this activity, asking that over 1000 field and flux tower sites be included in Collection 5 subsetting (up from 280 sites for Collection 4 MODIS subsetting). Availability of the Collection 5 Data Products

106

MODIS Land Products Subsets  

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

Data for Selected Field Sites (n=1147) Data for Selected Field Sites (n=1147) Obtain MODIS data for areas centered on selected field sites or flux towers from around the world. The goal of the MODIS Subsets for Selected Field Sites is to prepare summaries of selected MODIS Land Products for the community to use for validation of models and remote sensing products and to characterize field sites. Search for data: By Site from a Map Server from Google Earth (Install Google Earth) From FTP site (ASCII) Methods Data products were first subsetted from one or more 1200x1200-km MODIS tiles to 25 x 25-km arrays by the MODIS Science Data Support Team (MODAPS). These products were further subsetted (7x7) and reformatted from their native HDF-EOS to ASCII using version 2.2 of the MODIS Reprojection Tool (MRT) in combination with code developed at the ORNL DAAC.

107

Land reclamation beautifies coal mines  

Science Conference Proceedings (OSTI)

The article explains how the Mississippi Agricultural and Forestry Experiments station, MAFES, has helped prepare land exploited by strip mining at North American Coal Corporation's Red Hills Mine. The 5,800 acre lignite mine is over 200 ft deep and uncovers six layers of coal. About 100 acres of land a year is mined and reclaimed, mostly as pine plantations. 5 photos.

Coblentz, B. [MSU Ag Communications (United States)

2009-07-15T23:59:59.000Z

108

Data Sets Released from Two LBA Land Use-Land Change Teams  

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

Two land Use-Land Change Teams The ORNL DAAC and the LBA DIS announce the release of two data sets from the Land Use-Land Change teams, a component of the LBA-ECO Large Scale...

109

CARBON SEQUESTRATION ON SURFACE MINE LANDS  

SciTech Connect

An area planted in 2004 on Bent Mountain in Pike County was shifted to the Department of Energy project to centralize an area to become a demonstration site. An additional 98.3 acres were planted on Peabody lands in western Kentucky and Bent Mountain to bring the total area under study by this project to 556.5 acres as indicated in Table 2. Major efforts this quarter include the implementation of new plots that will examine the influence of differing geologic material on tree growth and survival, water quality and quantity and carbon sequestration. Normal monitoring and maintenance was conducted and additional instrumentation was installed to monitor the new areas planted.

Donald H. Graves; Christopher Barton; Richard Sweigard; Richard Warner

2005-06-22T23:59:59.000Z

110

Land Record System PIA, Bonneville Power Administration | Department...  

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

Land Record System PIA, Bonneville Power Administration Land Record System PIA, Bonneville Power Administration Land Record System PIA, Bonneville Power Administration Land Record...

111

EA-365 Centre Land Trading Limited | Department of Energy  

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

5 Centre Land Trading Limited EA-365 Centre Land Trading Limited Order Authorizing Centre Land Trading Limited to export electric energy to Canada EA-365 Centre Land Trading...

112

PIA - Land Record System (SWPA) | Department of Energy  

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

Land Record System (SWPA) PIA - Land Record System (SWPA) PIA - Land Record System (SWPA) PIA - Land Record System (SWPA) More Documents & Publications Thursday, February 14, 2008...

113

Stakeholder Engagement and Outreach: Utility-Scale Land-Based 80-Meter Wind  

Wind Powering America (EERE)

Maps & Data Maps & Data Printable Version Bookmark and Share Utility-Scale Land-Based Maps Wind Resource Potential Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Utility-Scale Land-Based 80-Meter Wind Maps The U.S. Department of Energy provides an 80-meter (m) height, high-resolution wind resource map for the United States with links to state wind maps. States, utilities, and wind energy developers use utility-scale wind resource maps to locate and quantify the wind resource, identifying potentially windy sites within a fairly large region and determining a potential site's economic and technical viability. A wind resource map of the United States. Washington wind map and resources. Oregon wind map and resources. California wind map and resources. Idaho wind map and resources. Nevada wind map and resources. Arizona wind map and resources. Utah wind map and resources. Montana wind map and resources. Wyoming wind map and resources. North Dakota wind map and resources. South Dakota wind map and resources. Nebraska wind map and resources. Colorado wind map and resources. New Mexico wind map and resources. Kansas wind map and resources. Oklahoma wind map and resources. Texas wind map and resources. Minnesota wind map and resources. Iowa wind map and resources. Missouri wind map and resources. Arkansas wind map and resources. Lousiana wind map and resources. Wisconsin wind map and resources. Michigan wind map and resources. Michigan wind map and resources. Illinois wind map and resources. Indiana wind map and resources. Ohio wind map and resources. Kentucky wind map and resources. Tennessee wind map and resources. Mississippi wind map and resources. Alabama wind map and resources. Georgia wind map and resources. Florida wind map and resources. South Carolina wind map and resources. North Carolina wind map and resources. West Virginia wind map and resources. Virginia wind map and resources. Maryland wind map and resources. Pennsylvania wind map and resources. Delaware wind map and resources. New Jersey wind map and resources. New York wind map and resources. Maine wind map and resources. Vermont wind map and resources. New Hampshire wind map and resources. Massachusetts wind map and resources. Rhode Island wind map and resources. Connecticut wind map and resources. Alaska wind map and resources. Hawaii wind map and resources.

114

Montana State Land Board | Open Energy Information  

Open Energy Info (EERE)

Land Board Jump to: navigation, search Name Montana State Land Board Place Helena, Montana Website http:dnrc.mt.govLandBoardS References Webpage1 This article is a stub. You...

115

POLLUTION AND LAND USE: OPTIMUM AND DECENTRALIZATION  

E-Print Network (OSTI)

with land and labor inputs and pollution emissions as a by-isolating the role of land use in pollution control we: i)land and the composite good, and disutility from the pollution

Hochman, Oded; Rausser, Gordon C.; Arnott, Richard J

2008-01-01T23:59:59.000Z

116

Analytical LandAtmosphere Radiometer Model  

Science Conference Proceedings (OSTI)

Conversion of radiometric land surface temperature (?r) to an equivalent isothermal (aerodynamic) surface temperature (?i) is important in balancing the land surface energy budget with satellite-based ?r measurements. An analytical land...

Ayman Suleiman; Richard Crago

2002-02-01T23:59:59.000Z

117

GRR/Section 3-TX-f - Lease of Land Trade Lands | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-TX-f - Lease of Land Trade Lands GRR/Section 3-TX-f - Lease of Land Trade Lands < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-TX-f - Lease of Land Trade Lands 03-TX-f - Lease of Land Trade Lands.pdf Click to View Fullscreen Triggers None specified Click "Edit With Form" above to add content 03-TX-f - Lease of Land Trade Lands.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative This flowchart illustrates the process of leasing Land Trade Lands in Texas. The Texas General Land Office (GLO) administers leases on Land Trade Lands through Title 31 of the Texas Administrative Code Section 155.42.

118

U.S. State Wind Resource Potential

Open Energy Info (EERE)

from development of the "available" windy land area after exclusions. The "Installed Capacity" shows the potential megawatts (MW) of rated capacity that could be...

119

HANFORD SITE CLEANUP OBJECTIVES INCONSISTENTWITH PROJECTED LAND...  

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

HANFORD SITE CLEANUP OBJECTIVES INCONSISTENTWITH PROJECTED LAND USES, IG-0446 HANFORD SITE CLEANUP OBJECTIVES INCONSISTENTWITH PROJECTED LAND USES, IG-0446 The cleanup of the...

120

pv land use | OpenEI Community  

Open Energy Info (EERE)

pv land use pv land use Home Rosborne318's picture Submitted by Rosborne318(5) Member 2 December, 2013 - 11:06 Request for Information Renewable Energy Generation/Production Shreveport Airport Authority - Response Deadline 2 January 2014 pv land use Solar solar land use Solar Power The Shreveport Airport Authority intends to issue a Request for Proposal (RFP) at some future time for renewable energy generation opportunities on Shreveport Airport property. Files: application/pdf icon solar_rfi_complete.pdf Sfomail's picture Submitted by Sfomail(48) Member 25 June, 2013 - 12:10 Solar Land Use Data on OpenEI acres csp land use how much land land requirements pv land use solar land use square miles I'm happy to announce that a new report on Solar+Land+Use was just released by the National+Renewable+Energy+Laboratory. You can find a brief summary

Note: This page contains sample records for the topic "total windy land" 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

solar land use | OpenEI Community  

Open Energy Info (EERE)

solar land use solar land use Home Rosborne318's picture Submitted by Rosborne318(5) Member 2 December, 2013 - 11:06 Request for Information Renewable Energy Generation/Production Shreveport Airport Authority - Response Deadline 2 January 2014 pv land use Solar solar land use Solar Power The Shreveport Airport Authority intends to issue a Request for Proposal (RFP) at some future time for renewable energy generation opportunities on Shreveport Airport property. Files: application/pdf icon solar_rfi_complete.pdf Sfomail's picture Submitted by Sfomail(48) Member 25 June, 2013 - 12:10 Solar Land Use Data on OpenEI acres csp land use how much land land requirements pv land use solar land use square miles I'm happy to announce that a new report on Solar+Land+Use was just released by the National+Renewable+Energy+Laboratory. You can find a brief summary

122

Total Crude by Pipeline  

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

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

123

Uni Land | Open Energy Information  

Open Energy Info (EERE)

Land Land Jump to: navigation, search Name Uni Land Place Bologna, Italy Zip 40063 Sector Solar Product Italian property company, which buys land without permits and develops it for residential and commerical use before selling it on. The firm is involved with solar project development. Coordinates 44.50483°, 11.345169° 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":44.50483,"lon":11.345169,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

124

Riparian Rights: State Land (Indiana)  

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

The state reserves the power to sell, transfer, and convey, as provided by law, rights-of-way in public land for several purposes, including pipelines, gas pipelines, water pipelines, sewer lines,...

125

The Great DOE Land Rush?  

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

area manager. co, 1800 ha-about 15% of the lab's land- (NERP), at the Savannah River site in South But some DOE officials argue that could be transferred as early as 2001 to the...

126

OpenEI - land requirements  

Open Energy Info (EERE)

en.openei.orgdatasetstaxonomyterm4180 en Land use requirements for ground-mounted solar power facilities. http:en.openei.orgdatasetsnode454

This dataset is part of...

127

OpenEI - land use  

Open Energy Info (EERE)

en.openei.orgdatasetstaxonomyterm4160 en Land use requirements for ground-mounted solar power facilities. http:en.openei.orgdatasetsnode454

This dataset is part of...

128

Effects of land markets and land management on ecosystem function: A framework for modelling exurban land-change  

Science Conference Proceedings (OSTI)

This paper presents the conceptual design and application of a new land-change modelling framework that represents geographical, sociological, economic, and ecological aspects of a land system. The framework provides an overarching design that can be ... Keywords: Agent-based modelling, Carbon storage and flux, Exurban development, Land-use and land-cover change, Policy

Derek T. Robinson, Shipeng Sun, Meghan Hutchins, Rick L. Riolo, Daniel G. Brown, Dawn C. Parker, Tatiana Filatova, William S. Currie, Sarah Kiger

2013-07-01T23:59:59.000Z

129

Seasonal Predictability of Daily Rainfall Characteristics in Central Northern Chile for Dry-Land Management  

Science Conference Proceedings (OSTI)

The seasonal predictability of daily winter rainfall characteristics relevant to dry-land management was investigated in the Coquimbo region of central northern Chile, with focus on the seasonal rainfall total, daily rainfall frequency, and mean ...

Koen Verbist; Andrew W. Robertson; Wim M. Cornelis; Donald Gabriels

2010-09-01T23:59:59.000Z

130

The Need for Open Lands  

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

Need for Open Lands Need for Open Lands Nature Bulletin No. 742 February 8, 1964 Forest Preserve District of Cook County Seymour .Simon, President Roberts Mann, Conservation Editor THE NEED FOR OPEN LANDS There is an old saying: The proof of the pudding is the eating . In other words, if it's good, people enjoy it and beg for more. The proof of the need for open lands -- publicly owned areas for recreational uses and open spaces undisturbed -- is the tremendous and ever-increasing use of those we have. We need more now. Year after year we will need more and more. It is imperative that areas desirable for future use be acquired now or as soon as possible, regardless of cost and even though they may stand idle ' -- vacant and undeveloped -- until more funds become available. Otherwise they may be gone, or the asking price may be a hundred times greater. Open spaces such as farm lands and prairies may have been occupied by residential, commercial or industrial developments. Woodlands may have been cut, stream channels dredged and wetlands drained, destroying all but a memory of their beauty and recreational values. There are compelling reasons for our need of open lands and why we should waste no time in providing more. Those reasons have been confirmed and emphasized by exhaustive studies and statistical analyses nationwide in scope.

131

Land-Use Requirements for Solar Power Plants in the United States  

DOE Green Energy (OSTI)

This report provides data and analysis of the land use associated with utility-scale ground-mounted solar facilities, defined as installations greater than 1 MW. We begin by discussing standard land-use metrics as established in the life-cycle assessment literature and then discuss their applicability to solar power plants. We present total and direct land-use results for various solar technologies and system configurations, on both a capacity and an electricity-generation basis. The total area corresponds to all land enclosed by the site boundary. The direct area comprises land directly occupied by solar arrays, access roads, substations, service buildings, and other infrastructure. As of the third quarter of 2012, the solar projects we analyze represent 72% of installed and under-construction utility-scale PV and CSP capacity in the United States.

Ong, S.; Campbell, C.; Denholm, P.; Margolis, R.; Heath, G.

2013-06-01T23:59:59.000Z

132

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

133

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

134

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

135

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

136

LBA Land Use and Land Cover Change Data Sets Released  

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

four data sets from the Carbon four data sets from the Carbon Dynamics and Nutrient Dynamics science themes, components of the LBA-ECO Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). LBA-ECO CD-36 South American Land Data Assimilation System Atmospheric Forcing Data . Data set prepared by L.G.G. de Goncalves, W.J. Shuttleworth, D. Vila, E. Larroza, M.J. Bottino, D.L. Herdies, J.A. Aravequia, J.G. de Mattos, D.L. Toll, M. Rodell and P. Houser. This data set provides South American Land Data Assimilation System (SALDAS) atmospheric forcing data necessary for land surface modeling for South America. The data were derived by combining modeled and observation based sources.The forcing data cover the entire continent of South America at 0.125 degree resolution and are built around the model-calculated values of

137

Temporal Land Cover Analysis for Net Ecosystem Improvement  

SciTech Connect

We delineated 8 watersheds contributing to previously defined river reaches within the 1,468-km2 historical floodplain of the tidally influenced lower Columbia River and estuary. We assessed land-cover change at the watershed, reach, and restoration site scales by reclassifying remote-sensing data from the National Oceanic and Atmospheric Administration Coastal Change Analysis Programs land cover/land change product into forest, wetland, and urban categories. The analysis showed a 198.3 km2 loss of forest cover during the first 6 years of the Columbia Estuary Ecosystem Restoration Program, 20012006. Total measured urbanization in the contributing watersheds of the estuary during the full 1996-2006 change analysis period was 48.4 km2. Trends in forest gain/loss and urbanization differed between watersheds. Wetland gains and losses were within the margin of error of the satellite imagery analysis. No significant land cover change was measured at restoration sites, although it was visible in aerial imagery, therefore, the 30-m land-cover product may not be appropriate for assessment of early-stage wetland restoration. These findings suggest that floodplain restoration sites in reaches downstream of watersheds with decreasing forest cover will be subject to increased sediment loads, and those downstream of urbanization will experience effects of increased impervious surfaces on hydrologic processes.

Ke, Yinghai; Coleman, Andre M.; Diefenderfer, Heida L.

2013-04-09T23:59:59.000Z

138

GRR/Section 3-CA-a - State Land Leasing Process and Land Access...  

Open Energy Info (EERE)

3-CA-a - State Land Leasing Process and Land Access (ROWs) < GRR Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleGRRSection3-CA-a-StateLand...

139

Comparison of Water-Related Land Cover Types in Six 1-km Global Land Cover Datasets  

Science Conference Proceedings (OSTI)

Land cover classification is a fundamental and vital activity that is helpful for understanding natural dynamics and the human impacts of land surface processes. Available multiple 1-km global land cover datasets have been compared to identify ...

Tosiyuki Nakaegawa

2012-04-01T23:59:59.000Z

140

land-use | OpenEI  

Open Energy Info (EERE)

land-use land-use Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (5 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

Note: This page contains sample records for the topic "total windy land" 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

Geothermal/Land Use | Open Energy Information  

Open Energy Info (EERE)

Geothermal/Land Use Geothermal/Land Use < Geothermal(Redirected from Land Use) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Land Use Leasing Exploration Well Field Power Plant Transmission Environment Water Use Print PDF Geothermal Land Use Planning General Regulatory Roadmap The Bureau of Land Management (BLM) and the USDA Forest Service (FS) have prepared a joint Programmatic Environmental Impact Statement (PEIS) to analyze and expedite the leasing of BLM-and FS-administered lands with high potential for renewable geothermal resources in 11 Western states and Alaska. Geothermal Land Use Planning is ... Example Land Use Plans References Information for Publication Standards for EA/EIS/Planning Documents IM 2004-110.pdf Fluid Mineral Leasing and Related Planning and National Environmental Policy Act (NEPA) Processes April 11, 2004 and

142

The windy city : harnessing power in the neighborhood landscape  

E-Print Network (OSTI)

As wind power has spread in North America, so has an awareness that community acceptance will largely determine whether this renewable energy source continues to grow. Despite apparently widespread popular support for wind ...

Cherry, Jonathan S. (Jonathan Sher)

2008-01-01T23:59:59.000Z

143

Changes related to "Big Windy (Great Escape Restaurant Turbine...  

Open Energy Info (EERE)

Policies International Clean Energy Analysis Low Emission Development Strategies Oil & Gas Smart Grid Solar U.S. OpenLabs Utilities Water Wind View New Pages Recent Changes All...

144

Pages that link to "Big Windy (Great Escape Restaurant Turbine...  

Open Energy Info (EERE)

Policies International Clean Energy Analysis Low Emission Development Strategies Oil & Gas Smart Grid Solar U.S. OpenLabs Utilities Water Wind Page Actions View source History...

145

UAV Path Planning for Structure Inspection in Windy Environments  

Science Conference Proceedings (OSTI)

In this paper, we consider the structure inspection problem using a miniature unmanned aerial vehicle (UAV). The influence of the wind on the UAV behavior and onboard energy limitations are important parameters that must be taken into account in the ... Keywords: Path planning, Traveling salesman problem, Vehicle routing problem, Zermelo navigation

Jose Alfredo Guerrero; Yasmina Bestaoui

2013-01-01T23:59:59.000Z

146

Land use and land cover, 1978 Hot Springs, South Dakota, Nebraska  

SciTech Connect

Land use and land cover of the area surrounding Hot Springs, South Dakota in 1978 is presented in map form. (ACR)

1980-01-01T23:59:59.000Z

147

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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

148

CARBON SEQUESTRATION OF SURFACE MINE LANDS  

SciTech Connect

The January-March 2004 Quarter was dedicated to tree planting activities in two locations in Kentucky. During year one of this project there was no available mine land to plant in the Hazard area so 107 acres were planted in the Martin county mine location. This year 120 acres was planted in the Hazard area to compensate for the prior year and an additional 57 acres was planted on Peabody properties in western Kentucky. An additional set of special plots were established on each of these areas that contained 4800 seedlings each for special carbon sequestration determinations. Plantings were also conducted to continue compaction and water quality studies on two newly established areas as well as confirmed measurements on the first years plantings. Total plantings on this project now amount to 357 acres containing 245,960 tree seedlings.

Donald H. Graves; Christopher Barton; Richard Sweigard; Richard Warner

2004-05-19T23:59:59.000Z

149

KamLAND and Solar Antineutrino Spectrum  

E-Print Network (OSTI)

We use the recent KamLAND observations to predict the solar antineutrino spectrum at some confidence limits. We find that a scaling of the antineutrino probability with respect to the magnetic field profile --in the sense that the same probability function can be reproduced by any profile with a suitable peak field value-- can be utilised to obtain a general shape of the solar antineutrino spectrum. This scaling and the upper bound on the solar antineutrino event rate, that can be derived from the data, lead to: 1) an upper bound on the solar antineutrino flux, 2) the prediction of their energy spectrum, as the normalisation of the spectrum can be obtained from the total number of antineutrino events recorded in the experiment. We get $\\phi_{\\bar\

Bhag C. Chauhan; Joao Pulido; E. Torrente-Lujan

2003-09-08T23:59:59.000Z

150

Extreme Maximum Land Surface Temperatures  

Science Conference Proceedings (OSTI)

There are numerous reports in the literature of observations of land surface temperatures. Some of these, almost all made in situ, reveal maximum values in the 5070C range, with a few, made in desert regions, near 80C. Consideration of a ...

J. R. Garratt

1992-09-01T23:59:59.000Z

151

The IAGL Land Surface Model  

Science Conference Proceedings (OSTI)

A model that computes the fluxes of energy and momentum between the land surface and the atmosphere is presented. It is designed to serve as a lower boundary in a mesoscale atmospheric model and is intended to be used to study the influence of ...

Koen De Ridder; Guy Schayes

1997-02-01T23:59:59.000Z

152

A land-use systems approach to represent land-use dynamics at continental and global scales  

Science Conference Proceedings (OSTI)

Most of the current global land cover datasets and global scale land-use models use a classification of land cover based on the dominant land cover type within a distinct region or pixel. Such a classification disregards the diversity and intensity of ... Keywords: Global, IMAGE, Land-use change, Land-use intensification, Land-use systems

Aurlien Letourneau; Peter H. Verburg; Elke Stehfest

2012-07-01T23:59:59.000Z

153

U.S. Total Exports  

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

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

154

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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

155

Oregon Department of State Lands | Open Energy Information  

Open Energy Info (EERE)

Oregon Department of State Lands Jump to: navigation, search Logo: Oregon Department of State Lands Name Oregon Department of State Lands Address 775 Summer Street, Suite 100 Place...

156

Hawaii Department of Land and Natural Resources Office of Conservation...  

Open Energy Info (EERE)

Office of Conservation and Coastal Lands Jump to: navigation, search Name Hawaii Department of Land and Natural Resources Office of Conservation and Coastal Lands From Open Energy...

157

OpenEI Community - solar land use  

Open Energy Info (EERE)

90 en Solar Land Use Data on OpenEI http:en.openei.orgcommunityblogsolar-land-use-data-openei

158

Minerals on School and Public Lands  

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

The Commissioner of School and Public Lands is authorized to lease the mineral interests of such lands for development. Section 5-7 of the SD Codified Laws describes provisions for the leasing of...

159

Drilling Waste Management Fact Sheet: Land Application  

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

Land Application Land Application Fact Sheet - Land Application The objective of applying drilling wastes to the land is to allow the soil's naturally occurring microbial population to metabolize, transform, and assimilate waste constituents in place. Land application is a form of bioremediation, and is important enough to be described in its own fact sheet; other forms of bioremediation are described in a separate fact sheet. Several terms are used to describe this waste management approach, which can be considered both treatment and disposal. In general, land farming refers to the repeated application of wastes to the soil surface, whereas land spreading and land treatment are often used interchangeably to describe the one-time application of wastes to the soil surface. Some practitioners do not follow the same terminology convention, and may interchange all three terms. Readers should focus on the technologies rather than on the specific names given to each process.

160

Time Scales of Land Surface Hydrology  

Science Conference Proceedings (OSTI)

This paper intends to investigate the time scales of land surface hydrology and enhance the understanding of the hydrological cycle between the atmosphere, vegetation, and soil. A three-layer model for land surface hydrology is developed to study ...

Aihui Wang; Xubin Zeng; Samuel S. P. Shen; Qing-Cun Zeng; Robert E. Dickinson

2006-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "total windy land" 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

The Global Land Data Assimilation System  

Science Conference Proceedings (OSTI)

A Global Land Data Assimilation System (GLDAS) has been developed. Its purpose is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate ...

M. Rodell; P. R. Houser; U. Jambor; J. Gottschalck; K. Mitchell; C-J. Meng; K. Arsenault; B. Cosgrove; J. Radakovich; M. Bosilovich; J. K. Entin*J. P. Walker; D. Lohmann; D. Toll

2004-03-01T23:59:59.000Z

162

Carbon Sequestration on Surface Mine Lands  

Science Conference Proceedings (OSTI)

The first quarter of 2004 was dedicated to tree planting activities in two locations in Kentucky. During the first year of this project there was not available mine land to plant in the Hazard area, so 107 acres were planted in the Martin County mine location. This year 120 acres were planted in the Hazard area to compensate for the prior year and an additional 57 acres were planted on Peabody properties in western Kentucky. Additional sets of special plots were established on each of these areas that contained 4800 seedlings each for carbon sequestration demonstrations. Plantings were also conducted to continue compaction and water quality studies on the newly established areas as well as continual measurements of the first year's plantings. Total plantings on this project now amount to 357 acres containing 245,960 seedlings. During the second quarter of this year monitoring systems were established for all the new research areas. Weather data pertinent to the research as well as hydrology and water quality monitoring continues to be conducted on all areas. Studies established to assess specific questions pertaining to carbon flux and the invasion of the vegetation by small mammals are being quantified. Experimental practices initiated with this research project will eventually allow for the planting on long steep slopes with loose grading systems and allow mountain top removal areas to be constructed with loose spoil with no grading of the final layers of rooting material when establishing trees for the final land use designation. Monitoring systems have been installed to measure treatment effects on both above and below ground carbon and nitrogen pools in the planting areas. Soil and tissue samples were collected from both years planting and analyses were conducted in the laboratory. Examination of decomposition and heterotropic respiration on carbon cycling in the reforestation plots continued during the reporting period. Entire planted trees were extracted from the study area to evaluate carbon accumulation as a function of time on the mine sites. These trees were extracted and separated into the following components: foliage, stems, branches, and roots. Each component was evaluated to determine the contribution of each to the total sequestration value. The fourth quarter of the year was devoted to analyzing the first two years tree planting activities and the evaluation of the results. These analyses included the species success at each of the sites and quantifying the data for future year determination of research levels. Additional detailed studies have been planned to further quantify total carbon storage accumulation on the study areas. At least 124 acres of new plantings will be established in 2005 to bring the total to 500 acres or more in the study area across the state of Kentucky.

Donald H. Graves; Christopher Barton; Bon Jun Koo; Richard Sweigard; Richard Warner

2004-11-30T23:59:59.000Z

163

21 briefing pages total  

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

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

164

Barge Truck Total  

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

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

165

Summary Max Total Units  

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

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

166

Land Use Requirements of Modern Wind Power Plants in the United States  

DOE Green Energy (OSTI)

This report provides data and analysis of the land use associated with modern, large wind power plants (defined as greater than 20 megawatts (MW) and constructed after 2000). The analysis discusses standard land-use metrics as established in the life-cycle assessment literature, and then discusses their applicability to wind power plants. The report identifies two major 'classes' of wind plant land use: 1) direct impact (i.e., disturbed land due to physical infrastructure development), and 2) total area (i.e., land associated with the complete wind plant project). The analysis also provides data for each of these classes, derived from project applications, environmental impact statements, and other sources. It attempts to identify relationships among land use, wind plant configuration, and geography. The analysts evaluated 172 existing or proposed projects, which represents more than 26 GW of capacity. In addition to providing land-use data and summary statistics, they identify several limitations to the existing wind project area data sets, and suggest additional analysis that could aid in evaluating actual land use and impacts associated with deployment of wind energy.

Denholm, P.; Hand, M.; Jackson, M.; Ong, S.

2009-08-01T23:59:59.000Z

167

Bioenergy and the importance of land use policy in a carbon-constrained world  

DOE Green Energy (OSTI)

Policies aimed at limiting anthropogenic climate change would result in significant transformations of the energy and land-use systems. However, increasing the demand for bioenergy could have a tremendous impact on land use, and can result in land clearing and deforestation. Wise et al. (2009a,b) analyzed an idealized policy to limit the indirect land use change emissions from bioenergy. The policy, while effective, would be difficult, if not impossible, to implement in the real world. In this paper, we consider several different land use policies that deviate from this first-best, using the Joint Global Change Research Institutes Global Change Assessment Model (GCAM). Specifically, these new frameworks are (1) a policy that focuses on just the above-ground or vegetative terrestrial carbon rather than the total carbon, (2) policies that focus exclusively on incentivizing and protecting forestland, and (3) policies that apply an economic penalty on the use of biomass as a proxy to limit indirect land use change emissions. For each policy, we examine its impact on land use, land-use change emissions, atmospheric CO2 concentrations, agricultural supply, and food prices.

Calvin, Katherine V.; Edmonds, James A.; Wise, Marshall A.

2010-06-01T23:59:59.000Z

168

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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

169

Landholders, Residential Land Conversion, and Market Signals  

E-Print Network (OSTI)

resale prices, the cost per square foot, the rates of changeTotal Total Total Total Cost per square foot Rate populationTotal Total Total Cost per square foot Total Rate population

Margulis, Harry L.

2006-01-01T23:59:59.000Z

170

Impacts of Array Configuration on Land-Use Requirements for Large-Scale Photovoltaic Deployment in the United States: Preprint  

SciTech Connect

Land use is often cited as an important issue for renewable energy technologies. In this paper we examine the relationship between land-use requirements for large-scale photovoltaic (PV) deployment in the U.S. and PV-array configuration. We estimate the per capita land requirements for solar PV and find that array configuration is a stronger driver of energy density than regional variations in solar insolation. When deployed horizontally, the PV land area needed to meet 100% of an average U.S. citizen's electricity demand is about 100 m2. This requirement roughly doubles to about 200 m2 when using 1-axis tracking arrays. By comparing these total land-use requirements with other current per capita land uses, we find that land-use requirements of solar photovoltaics are modest, especially when considering the availability of zero impact 'land' on rooftops. Additional work is need to examine the tradeoffs between array spacing, self-shading losses, and land use, along with possible techniques to mitigate land-use impacts of large-scale PV deployment.

Denholm, P.; Margolis, R. M.

2008-05-01T23:59:59.000Z

171

An Assessment of Land Availability and Price in the Coterminous United States for Conversion to Algal Biofuel Production  

SciTech Connect

Realistic economic assessment of land-intensive alternative energy sources (e.g., solar, wind, and biofuels) requires information on land availability and price. Accordingly, we created a comprehensive, national-scale model of these parameters for the United States. For algae-based biofuel, a minimum of 1.04E+05 km2 of land is needed to meet the 2022 EISA target of 2.1E+10 gallons year-1. We locate and quantify land types best converted. A data-driven model calculates the incentive to sell and a fair compensation value (real estate and lost future income). 1.02E+6 km2 of low slope, non-protected land is relatively available including croplands, pasture/ grazing, and forests. Within this total there is 2.64E+5 km2 of shrub and barren land available. The Federal government has 7.68E+4 km2 available for lease. Targeting unproductive lands minimizes land costs and impacts to existing industries. However, shrub and barren lands are limited by resources (water) and logistics, so land conversion requires careful consideration.

Venteris, Erik R.; Skaggs, Richard; Coleman, Andre M.; Wigmosta, Mark S.

2012-12-01T23:59:59.000Z

172

Impacts of Array Configuration on Land-Use Requirements for Large-Scale Photovoltaic Deployment in the United States: Preprint  

DOE Green Energy (OSTI)

Land use is often cited as an important issue for renewable energy technologies. In this paper we examine the relationship between land-use requirements for large-scale photovoltaic (PV) deployment in the U.S. and PV-array configuration. We estimate the per capita land requirements for solar PV and find that array configuration is a stronger driver of energy density than regional variations in solar insolation. When deployed horizontally, the PV land area needed to meet 100% of an average U.S. citizen's electricity demand is about 100 m2. This requirement roughly doubles to about 200 m2 when using 1-axis tracking arrays. By comparing these total land-use requirements with other current per capita land uses, we find that land-use requirements of solar photovoltaics are modest, especially when considering the availability of zero impact 'land' on rooftops. Additional work is need to examine the tradeoffs between array spacing, self-shading losses, and land use, along with possible techniques to mitigate land-use impacts of large-scale PV deployment.

Denholm, P.; Margolis, R. M.

2008-05-01T23:59:59.000Z

173

Impacts of Array Configuration on Land Use Requirements for Large-Scale Photovoltaic Deployment in the United States  

SciTech Connect

Land use is often cited as an important issue for renewable energy technologies. In this paper we examine the relationship between land-use requirements for large-scale photovoltaic (PV) deployment in the U.S. and PV-array configuration. We estimate the per capita land requirements for solar PV and find that array configuration is a stronger driver of energy density than regional variations in solar insolation. When deployed horizontally, the PV land area needed to meet 100% of an average U.S. citizen's electricity demand is about 100 m{sup 2}. This requirement roughly doubles to about 200 m{sup 2} when using 1-axis tracking arrays. By comparing these total land-use requirements with other current per capita land uses, we find that land-use requirements of solar photovoltaics are modest, especially when considering the availability of zero impact 'land' on rooftops. Additional work is need to examine the tradeoffs between array spacing, self-shading losses, and land use, along with possible techniques to mitigate land-use impacts of large-scale PV deployment.

Denholm, P.; Margolis, R. M.

2008-01-01T23:59:59.000Z

174

Total Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

175

Wind Development on Tribal Lands  

SciTech Connect

Background: The Rosebud Sioux Tribe (RST) is located in south central South Dakota near the Nebraska border. The nearest community of size is Valentine, Nebraska. The RST is a recipient of several Department of Energy grants, written by Distributed Generation Systems, Inc. (Disgen), for the purposes of assessing the feasibility of its wind resource and subsequently to fund the development of the project. Disgen, as the contracting entity to the RST for this project, has completed all the pre-construction activities, with the exception of the power purchase agreement and interconnection agreement, to commence financing and construction of the project. The focus of this financing is to maximize the economic benefits to the RST while achieving commercially reasonable rates of return and fees for the other parties involved. Each of the development activities required and its status is discussed below. Land Resource: The Owl Feather War Bonnet 30 MW Wind Project is located on RST Tribal Trust Land of approximately 680 acres adjacent to the community of St. Francis, South Dakota. The RST Tribal Council has voted on several occasions for the development of this land for wind energy purposes, as has the District of St. Francis. Actual footprint of wind farm will be approx. 50 acres. Wind Resource Assessment: The wind data has been collected from the site since May 1, 2001 and continues to be collected and analyzed. The latest projections indicate a net capacity factor of 42% at a hub height of 80 meters. The data has been collected utilizing an NRG 9300 Data logger System with instrumentation installed at 30, 40 and 65 meters on an existing KINI radio tower. The long-term annual average wind speed at 65-meters above ground level is 18.2 mph (8.1 mps) and 18.7 mph (8.4 mps) at 80-meters agl. The wind resource is excellent and supports project financing.

Ken Haukaas; Dale Osborn; Belvin Pete

2008-01-18T23:59:59.000Z

176

Attributing land-use change carbon emissions to exported biomass  

Science Conference Proceedings (OSTI)

In this study, a simple, transparent and robust method is developed in which land-use change (LUC) emissions are retrospectively attributed to exported biomass products based on the agricultural area occupied for the production. LUC emissions account for approximately one-fifth of current greenhouse gas emissions. Increasing agricultural exports are becoming an important driver of deforestation. Brazil and Indonesia are used as case studies due to their significant deforestation in recent years. According to our study, in 2007, approximately 32% and 15% of the total agricultural land harvested and LUC emissions in Brazil and Indonesia respectively were due to exports. The most important exported single items with regard to deforestation were palm oil for Indonesia and bovine meat for Brazil. To reduce greenhouse gas (GHG) emissions effectively worldwide, leakage of emissions should be avoided. This can be done, for example, by attributing embodied LUC emissions to exported biomass products. With the approach developed in this study, controversial attribution between direct and indirect LUC and amortization of emissions over the product life cycle can be overcome, as the method operates on an average basis and annual level. The approach could be considered in the context of the UNFCCC climate policy instead of, or alongside with, other instruments aimed at reducing deforestation. However, the quality of the data should be improved and some methodological issues, such as the allocation procedure in multiproduct systems and the possible dilution effect through third parties not committed to emission reduction targets, should be considered. - Highlights: Black-Right-Pointing-Pointer CO{sub 2} emissions from land use changes are highly important. Black-Right-Pointing-Pointer Attribution of land use changes for products is difficult. Black-Right-Pointing-Pointer Simple and robust method is developed to attribute land use change emissions.

Saikku, Laura, E-mail: laura.saikku@helsinki.fi [University of Helsinki, P.O Box 65, 00014 University of Helsinki (Finland); Soimakallio, Sampo, E-mail: sampo.soimakallio@vtt.fi [VTT Technical Research Centre of Finland, P.O. Box 1000, 02044 VTT (Finland); Pingoud, Kim, E-mail: kim.pingoud@vtt.fi [VTT Technical Research Centre of Finland, P.O. Box 1000, 02044 VTT (Finland)

2012-11-15T23:59:59.000Z

177

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

Gasoline and Diesel Fuel Update (EIA)

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

178

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

Open Energy Info (EERE)

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

179

Geothermal/Land Use | Open Energy Information  

Open Energy Info (EERE)

Use Use < Geothermal Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Land Use Leasing Exploration Well Field Power Plant Transmission Environment Water Use Print PDF Geothermal Land Use Planning General Regulatory Roadmap The Bureau of Land Management (BLM) and the USDA Forest Service (FS) have prepared a joint Programmatic Environmental Impact Statement (PEIS) to analyze and expedite the leasing of BLM-and FS-administered lands with high potential for renewable geothermal resources in 11 Western states and Alaska. Geothermal Land Use Planning is ... Example Land Use Plans References Information for Publication Standards for EA/EIS/Planning Documents IM 2004-110.pdf Fluid Mineral Leasing and Related Planning and National Environmental Policy Act (NEPA) Processes April 11, 2004 and

180

Land Reclamation Act (Missouri) | Department of Energy  

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

Reclamation Act (Missouri) Land Reclamation Act (Missouri) Eligibility Commercial Construction Industrial Institutional Investor-Owned Utility Local Government MunicipalPublic...

Note: This page contains sample records for the topic "total windy land" 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

Land and Renewable Resources [EVS Program Area  

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

Land and Renewable Resources EVS's environmental scientists conduct environmental impact statements to help the nation create a framework for developing renewable energy...

182

Marginal Lands: Concept, Assessment and Management  

SciTech Connect

Marginal lands have received wide attention for their potential to improve food security and support bioenergy production. However, environmental, ecosystem service, and sustainability concerns have been widely raised over the use of marginal land. Knowledge of the extent, location, and quality of marginal lands as well as their assessment and management are limited and diverse. This paper provides a review of the historical development of marginal concept, its application and assessment. Limitations and priority research needs of marginal land assessment and management were discussed.

Kang, Shujiang [ORNL; Post, Wilfred M [ORNL; West, Tristram O. [Joint Global Change Research Institute, PNNL; Bandaru, Vara Prasad [ORNL; Izaurralde, Dr. R. Cesar [Pacific Northwest National Laboratory (PNNL); Wang, Dali [ORNL; Nichols, Dr Jeff A [ORNL

2013-01-01T23:59:59.000Z

183

OPPORTUNITY COST OF LAND AND URBAN GROWTH.  

E-Print Network (OSTI)

??This study examines the impact of the opportunity cost of urban land on urban growth. Based on prices, costs and productivity data on agricultural commodities (more)

Jiang, Bo

2011-01-01T23:59:59.000Z

184

MODIS Land Products Subsets Web Service  

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

Web Service The MODIS Web service provides users with subsets of MODIS Land Products through standards based SOAP (Simple Object Access Protocol) Web service. Through the Web...

185

Large 718 Forgings for Land Based Turbines  

Science Conference Proceedings (OSTI)

Since the development of the first gas turbine, the drive for lower cost electrical power has lead to more efficient land based power systems. Increased efficiency ...

186

Landholders, Residential Land Conversion, and Market Signals  

E-Print Network (OSTI)

465 Margulis: Landholders, Residential Land Conversion, and1983. An Analysis of Residential Developer Location FactorsHow Regulation Affects New Residential Development. New

Margulis, Harry L.

2006-01-01T23:59:59.000Z

187

Land Use Regulation with Durable Capital  

E-Print Network (OSTI)

prices, land rents, capital intensity of housing and housingrents and capital intensities. A richer formulation, inof development and the capital intensity of development. His

Quigley, John M.; Swoboda, Aaron

2009-01-01T23:59:59.000Z

188

Louisiana Coastal Land Loss Video Release  

U.S. Energy Information Administration (EIA)

Today, the U.S. Geological Survey National Wetlands Research Center is pleased to announce the release of a new Louisiana coastal land loss video, ...

189

Renewable Energy Development on Tribal Lands (Brochure)  

SciTech Connect

Brochure describes the Tribal Energy Program, which provides American Indian tribes with financial and technical assistance for developing renewable energy projects on tribal land.

2007-12-01T23:59:59.000Z

190

Renewable Energy Development on Tribal Lands  

SciTech Connect

Brochure describes the Tribal Energy Program, which provides American Indian tribes with financial and technical assistance for developing renewable energy projects on tribal land.

2006-10-01T23:59:59.000Z

191

Mediterranean land abandonment and associated biomass variation.  

E-Print Network (OSTI)

??Biomass is an important factor in environmental processes, such as erosion, carbon storage, climate change and land degradation. Human-induced changes in plant community systems and (more)

Hoogeveen, S.S.

2011-01-01T23:59:59.000Z

192

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

193

The Influence of Land Use/Land Cover on Climatological Values of the Diurnal Temperature Range  

Science Conference Proceedings (OSTI)

The diurnal temperature range (DTR) at weather observation stations that make up the U.S. Historical Climatology Network was evaluated with respect to the predominant land use/land cover associated with the stations within three radii intervals (...

Kevin P. Gallo; David R. Easterling; Thomas C. Peterson

1996-11-01T23:59:59.000Z

194

Biophysical Evaluation of Land-Cover Products for LandClimate Modeling  

Science Conference Proceedings (OSTI)

The need for accurate characterization of the land surface as boundary conditions in climate models has been recognized widely in the climate modeling community. A large number of land-cover datasets are currently used in climate models either to ...

Jianjun Ge; Nathan Torbick; Jiaguo Qi

2009-06-01T23:59:59.000Z

195

A New Characterization of the Land Surface Heterogeneity over Africa for Use in Land Surface Models  

Science Conference Proceedings (OSTI)

Information related to land surface is immensely important to global change science. For example, land surface changes can alter regional climate through its effects on fluxes of water, energy, and carbon. In the past decades, data sources and ...

Armel Thibaut Kaptu Tchuent; Jean-Louis Roujean; Agns Bgu; Sietse O. Los; Aaron A. Boone; Jean-Franois Mahfouf; Dominique Carrer; Badiane Daouda

2011-12-01T23:59:59.000Z

196

Impact of Land Model Calibration on Coupled Land-Atmosphere Prediction  

Science Conference Proceedings (OSTI)

Land-atmosphere (L-A) interactions play a critical role in determining the diurnal evolution of both planetary boundary layer (PBL) and land surface heat and moisture budgets, as well as controlling feedbacks with clouds and precipitation that ...

Joseph A. Santanello; Jr.; Sujay V. Kumar; Christa D. Peters-Lidard; Ken Harrison; Shujia Zhou

197

An Improved Land Surface Emissivity Parameter for Land Surface Models Using Global Remote Sensing Observations  

Science Conference Proceedings (OSTI)

Because land surface emissivity (?) has not been reliably measured, global climate model (GCM) land surface schemes conventionally set this parameter as simply constant, for example, 1 as in the National Oceanic and Atmospheric Administration (...

Menglin Jin; Shunlin Liang

2006-06-01T23:59:59.000Z

198

Greenhouse Gas Policy Development in the Land Use, Land-Use Change...  

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

Policy Development in the Land Use, Land-Use Change and Forestry (LULUCF) Sector J. Kinsman (jkinsman@eei.org; 202-508-5711) Edison Electric Institute 701 Pennsylvania Avenue, N.W....

199

Three LBA-ECO Land Use and Land Cover Science Theme Data Sets...  

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

The ORNL DAAC announces the publication of land cover classifications for Mato Grosso, Brazil, for the years 2000-2001 and 2003-2004. LBA-ECO LC-22 Land Cover from MODIS Vegetation...

200

Landed Costs of Imported Crude by Area  

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

Area Area (Dollars per Barrel) Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Average Landed Cost 95.72 97.41 96.90 101.19 103.27 102.19 1973-2013 Persian Gulf 102.31 101.35 101.26 103.15 104.94 104.24 1996-2013 Total OPEC 101.76 101.62 101.21 103.96 105.34 105.33 1973-2013 Non OPEC 90.79 93.50 93.49 98.66 101.65 100.05 1973-2013 Selected Countries Canada 83.02 86.83 88.26 94.16 98.81 96.09 1973-2013 Colombia 101.42 100.70 99.47 102.47 106.04 105.49 1996-2013 Angola 105.56 106.32 106.73 110.43 111.75 115.03 1996-2013 Mexico 100.63 100.07 97.56 101.87 101.52 101.12 1975-2013

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


201

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

202

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

203

Integrated Dynamic Gloabal Modeling of Land Use, Energy and Economic Growth  

SciTech Connect

The overall objective of this collaborative project is to integrate an existing general equilibrium energy-economic growth model with a biogeochemical cycles and biophysical models in order to more fully explore the potential contribution of land use-related activities to future emissions scenarios. Land cover and land use change activities, including deforestation, afforestation, and agriculture management, are important source of not only CO2, but also non-CO2 GHGs. Therefore, contribution of land-use emissions to total emissions of GHGs is important, and consequently their future trends are relevant to the estimation of climate change and its mitigation. This final report covers the full project period of the award, beginning May 2006, which includes a sub-contract to Brown University later transferred to the National Center for Atmospheric Research (NCAR) when Co-PI Brian O'Neill changed institutional affiliations.

Atul Jain, University of Illinois, Urbana-Champaign, IL Brian O'Neill, NCAR, Boulder, CO

2009-10-14T23:59:59.000Z

204

Using a total landed cost model to foster global logistics strategy in the electronics industry  

E-Print Network (OSTI)

Global operation strategies have been widely used in the last several decades as many companies and industries have taken advantage of lower production costs. However, in choosing a location, companies often only consider ...

Jearasatit, Apichart

2010-01-01T23:59:59.000Z

205

MODIS Land Products Subsets Demo  

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

GLOBAL Subsetting and GLOBAL Subsetting and Visualization Tool Webinar: Bringing time-series satellite-based land data to the field scientist National Aeronautics and Space Administration www.nasa.gov Suresh K.S. Vannan and Tammy Walker Beaty Oak Ridge National Laboratory Distributed Active Archive Center, ORNL DAAC July 24 and 25, 2013 National Aeronautics and Space Administration Tammy Walker Beaty 2 About ORNL DAAC * The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for biogeochemical dynamics is one of the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS) data centers managed by the Earth Science Data and Information System (ESDIS) Project, which is responsible for providing users with access to data from NASA's Earth Science

206

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

207

Biofuels and indirect land use change  

E-Print Network (OSTI)

Biofuels and indirect land use change The case for mitigation October 2011 #12;About this study), Malaysian Palm Oil Board, National Farmers Union, Novozymes, Northeast Biofuels Collaborative, Patagonia Bio contributed views on a confidential basis. #12;1Biofuels and indirect land use change The case for mitigation

208

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

209

Chesapeake Forest Lands (Maryland) | Department of Energy  

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

Chesapeake Forest Lands (Maryland) Chesapeake Forest Lands (Maryland) Chesapeake Forest Lands (Maryland) < Back Eligibility Agricultural Commercial Construction Developer 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 Start Date 1999 State Maryland Program Type Siting and Permitting Provider Maryland Department of Natural Resources The Chesapeake Forest Lands are most of the former land holdings of the

210

AG Land 2 | Open Energy Information  

Open Energy Info (EERE)

AG Land 2 AG Land 2 Facility AG Land 2 Sector Wind energy Facility Type Community Wind Facility Status In Service Owner AG Land Energy LLC Developer AG Land Energy LLC Energy Purchaser Alliant Energy Location Story County IA Coordinates 41.904231°, -93.354864° 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":41.904231,"lon":-93.354864,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

211

AG Land 6 | Open Energy Information  

Open Energy Info (EERE)

AG Land 6 AG Land 6 Jump to: navigation, search Name AG Land 6 Facility AG Land 6 Sector Wind energy Facility Type Community Wind Facility Status In Service Owner AG Land Energy LLC Developer Enervation LLC Energy Purchaser Alliant Energy Location Hamilton County IA Coordinates 42.335536°, -93.632344° 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":42.335536,"lon":-93.632344,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

212

AG Land 4 | Open Energy Information  

Open Energy Info (EERE)

AG Land 4 AG Land 4 Facility AG Land 4 Sector Wind energy Facility Type Community Wind Facility Status In Service Owner AG Land Energy LLC Developer AG Land Energy LLC Energy Purchaser Alliant Energy Location Story County IA Coordinates 42.206397°, -93.325714° 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":42.206397,"lon":-93.325714,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

213

AG Land 3 | Open Energy Information  

Open Energy Info (EERE)

Name AG Land 3 Name AG Land 3 Facility AG Land 3 Sector Wind energy Facility Type Community Wind Facility Status In Service Owner AG Land Energy LLC Developer AG Land Energy LLC Energy Purchaser Alliant Energy Location Story County IA Coordinates 42.146061°, -93.428028° 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":42.146061,"lon":-93.428028,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

214

Predicting plant available nitrogen in land-applied biosolids  

Science Conference Proceedings (OSTI)

The rate at which biosolids (municipal sewage sludge) may be applied to land is dependent on factors including concentrations of metals, pathogens, toxic organic compounds, and nutrients. Where other properties are not limiting, land application rates are often based on matching crop N needs with the plant available N (PAN). The objectives of this study were to quantify biosolids PAN under field conditions and to propose methods including computer simulation to estimate biosolids PAN in a land application program. Six biosolids were evaluated over a 2-yr period. Laboratory incubations were used to obtain decomposition kinetics. Field studies provided a relationship between inorganic fertilizer N rate and sorghum sudangrass [Sorghum bicolor (L.) Moench] tissue N concentration, which was used to determine biosolids PAN in a Captina silt loam soil. Biosolids PAN released during the field experiment was linearly related to biosolids C/N ratio, organic N, or total N. Computer model predictions of PAN in the field were also linearly related to field estimates of biosolids PAN. Decay series obtained using the computer model, average biosolids decomposition kinetics, and average application site weather were very similar to decay series obtained using the computer model, actual weather, and kinetic data. Either decay series and routine analytical data for biosolids are proposed to estimate PAN for a given situation. Use of the computer model and weather data makes the approach site-specific, while analytical data for a specific biosolids makes the approach biosolids-specific.

Gilmour, J.T.; Skinner, V.

1999-08-01T23:59:59.000Z

215

Solar Neutrinos Before and After KamLAND  

E-Print Network (OSTI)

We use the recently reported KamLAND measurements on oscillations of reactor anti-neutrinos, together with the data of previously reported solar neutrino experiments, to show that: (1) the total 8B neutrino flux emitted by the Sun is 1.00(1.0 \\pm 0.06) of the standard solar model (BP00) predicted flux, (2) the KamLAND measurements reduce the area of the globally allowed oscillation regions that must be explored in model fitting by six orders of magnitude in the Delta m^2-tan^2 theta plane, (3) LMA is now the unique oscillation solution to a CL of 4.7sigma, (4) maximal mixing is disfavored at 3.1 sigma, (5) active-sterile admixtures are constrained to sin^2 eta<0.13 at 1 sigma, (6) the observed ^8B flux that is in the form of sterile neutrinos is 0.00^{+0.09}_{-0.00} (1 sigma), of the standard solar model (BP00) predicted flux, and (7) non-standard solar models that were invented to completely avoid solar neutrino oscillations are excluded by KamLAND plus solar at 7.9 sigma . We also refine quantitative predictions for future 7Be and p-p solar neutrino experiments.

John N. Bahcall; M. C. Gonzalez-Garcia; Carlos Pena-Garay

2002-12-11T23:59:59.000Z

216

GRR/Section 3-NV-a - State Land Leasing Process and Land Access | Open  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » GRR/Section 3-NV-a - State Land Leasing Process and Land Access < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-NV-a - State Land Leasing Process and Land Access 03NVAStateLandLeasingProcess.pdf Click to View Fullscreen Contact Agencies Nevada Division of State Lands Regulations & Policies Nevada Revised Statutes (NRS) Nevada Administrative Code (NAC) NRS 322.010-322.040 Leases for Extraction of Oil, Coal, Gas or Geothermal Resources Triggers None specified Click "Edit With Form" above to add content 03NVAStateLandLeasingProcess.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range.

217

Gas Mileage of 2004 Vehicles by Land Rover  

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

4 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2004 Land Rover Discovery Series II 8 cyl, 4.6 L, Automatic 4-spd, Premium Gasoline Compare 2004 Land Rover Discovery Series II...

218

Gas Mileage of 1998 Vehicles by Land Rover  

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

8 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1998 Land Rover Discovery 8 cyl, 4.0 L, Automatic 4-spd, Premium Gasoline Compare 1998 Land Rover Discovery View MPG Estimates...

219

Gas Mileage of 1995 Vehicles by Land Rover  

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

5 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1995 Land Rover Defender 90 8 cyl, 3.9 L, Manual 5-spd, Premium Gasoline Compare 1995 Land Rover Defender 90 12 City 13 Combined...

220

Gas Mileage of 1992 Vehicles by Land Rover  

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

2 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1992 Land Rover Range Rover 8 cyl, 3.9 L, Automatic 4-spd, Premium Gasoline Compare 1992 Land Rover Range Rover...

Note: This page contains sample records for the topic "total windy land" 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

Gas Mileage of 2012 Vehicles by Land Rover  

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

2 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2012 Land Rover LR2 6 cyl, 3.2 L, Automatic (S6), Regular Gasoline Compare 2012 Land Rover LR2 15 City 17 Combined 22 Highway 2012...

222

Gas Mileage of 1994 Vehicles by Land Rover  

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

4 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1994 Land Rover Defender 90 8 cyl, 3.9 L, Manual 5-spd, Premium Gasoline Compare 1994 Land Rover Defender 90 12 City 13 Combined...

223

Gas Mileage of 1987 Vehicles by Land Rover  

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

7 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1987 Land Rover Range Rover 8 cyl, 3.5 L, Automatic 4-spd, Regular Gasoline Compare 1987 Land Rover Range Rover 12 City 13...

224

Gas Mileage of 2007 Vehicles by Land Rover  

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

7 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2007 Land Rover LR3 8 cyl, 4.0 L, Automatic (S6), Regular Gasoline Compare 2007 Land Rover LR3 12 City 14 Combined 18 Highway 2007...

225

Gas Mileage of 2003 Vehicles by Land Rover  

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

3 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2003 Land Rover Discovery Series II 8 cyl, 4.6 L, Automatic 4-spd, Premium Gasoline Compare 2003 Land Rover Discovery Series II...

226

Gas Mileage of 2000 Vehicles by Land Rover  

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

0 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2000 Land Rover Discovery Series II 8 cyl, 4.0 L, Automatic 4-spd, Premium Gasoline Compare 2000 Land Rover Discovery Series II...

227

Gas Mileage of 2006 Vehicles by Land Rover  

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

6 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2006 Land Rover LR3 6 cyl, 4.0 L, Automatic (S6), Regular Gasoline Compare 2006 Land Rover LR3 View MPG Estimates Shared By...

228

Gas Mileage of 2001 Vehicles by Land Rover  

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

1 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2001 Land Rover Discovery Series II 8 cyl, 4.0 L, Automatic 4-spd, Premium Gasoline Compare 2001 Land Rover Discovery Series II...

229

Gas Mileage of 2009 Vehicles by Land Rover  

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

9 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2009 Land Rover LR2 6 cyl, 3.2 L, Automatic (S6), Regular Gasoline Compare 2009 Land Rover LR2 15 City 17 Combined 22 Highway 2009...

230

Gas Mileage of 2005 Vehicles by Land Rover  

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

5 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2005 Land Rover Freelander 6 cyl, 2.5 L, Automatic (S5), Regular Gasoline Compare 2005 Land Rover Freelander View MPG Estimates...

231

Gas Mileage of 1996 Vehicles by Land Rover  

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

6 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1996 Land Rover Discovery 8 cyl, 4.0 L, Automatic 4-spd, Premium Gasoline Compare 1996 Land Rover Discovery View MPG Estimates...

232

Gas Mileage of 2011 Vehicles by Land Rover  

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

1 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2011 Land Rover LR2 6 cyl, 3.2 L, Automatic (S6), Regular Gasoline Compare 2011 Land Rover LR2 15 City 17 Combined 22 Highway 2011...

233

Gas Mileage of 1993 Vehicles by Land Rover  

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

3 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1993 Land Rover Defender 110 8 cyl, 3.9 L, Manual 5-spd, Premium Gasoline Compare 1993 Land Rover Defender 110 9 City 10 Combined...

234

Gas Mileage of 1997 Vehicles by Land Rover  

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

7 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1997 Land Rover Defender 90 8 cyl, 4.0 L, Automatic 4-spd, Premium Gasoline Compare 1997 Land Rover Defender 90 12 City 13...

235

Gas Mileage of 1989 Vehicles by Land Rover  

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

9 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1989 Land Rover Range Rover 8 cyl, 3.9 L, Automatic 4-spd, Premium Gasoline Compare 1989 Land Rover Range Rover 11 City 12...

236

Gas Mileage of 2010 Vehicles by Land Rover  

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

0 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2010 Land Rover LR2 6 cyl, 3.2 L, Automatic (S6), Regular Gasoline Compare 2010 Land Rover LR2 15 City 17 Combined 22 Highway 2010...

237

Gas Mileage of 2002 Vehicles by Land Rover  

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

2 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2002 Land Rover Discovery Series II 8 cyl, 4.0 L, Automatic 4-spd, Premium Gasoline Compare 2002 Land Rover Discovery Series II...

238

Gas Mileage of 2008 Vehicles by Land Rover  

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

8 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2008 Land Rover LR2 6 cyl, 3.2 L, Automatic (S6), Regular Gasoline Compare 2008 Land Rover LR2 View MPG Estimates Shared By...

239

Gas Mileage of 1999 Vehicles by Land Rover  

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

9 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1999 Land Rover Discovery 8 cyl, 4.0 L, Automatic 4-spd, Premium Gasoline Compare 1999 Land Rover Discovery 12 City 14 Combined 16...

240

Gas Mileage of 1988 Vehicles by Land Rover  

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

8 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1988 Land Rover Range Rover 8 cyl, 3.5 L, Automatic 4-spd, Premium Gasoline Compare 1988 Land Rover Range Rover 13 City 13...

Note: This page contains sample records for the topic "total windy land" 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

Closed BLM Public Lands: Geothermal Leases Not Permitted The...  

Open Energy Info (EERE)

Closed BLM Public Lands: Geothermal Leases Not Permitted The U.S. Bureau of Land Management (BLM) released a series of GIS layers of public lands closed to geothermal leases...

242

Nowcasting for Space Shuttle Landings at Kennedy Space Center, Florida  

Science Conference Proceedings (OSTI)

Space shuttle launches and landings at Kennedy Space Center (KSC) are subject to strict weather-related launch commit criteria and landing weather flight rules. Complex launch commit criteria and end-of-mission landing weather flight rules demand ...

William H. Bauman III; Steven Businger

1996-10-01T23:59:59.000Z

243

Pennsylvania Farmland and Forest Land Assessment Act of 1974...  

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

of Land or Conveyance of Rights for Exploration or Extraction of Gas, Oil or Coal Bed Methane Pennsylvania Farmland and Forest Land Assessment Act of 1974 - Utilization of Land or...

244

NUMERICAL MODEL FOR LAND SUBSIDENCE IN SHALLOW GROUNDWATER SYSTEMS  

E-Print Network (OSTI)

and R. L. Klausing, 1969, Land subsidence due to groundwater7612-10874 Fig. S. Land subsidence at Pixley, California:Symposium on Land Subsidence, Anaheim, CA, December 10-

Narasimhan, T.N.

2010-01-01T23:59:59.000Z

245

Human spatial orientation perceptions during simulated lunar landing  

E-Print Network (OSTI)

During crewed lunar landings, astronauts are expected to guide a stable and controlled descent to a landing zone that is level and free of hazards by either making landing point (LP) redesignations or taking direct manual ...

Clark, Torin Kristofer

2010-01-01T23:59:59.000Z

246

Gas Mileage of 2013 Vehicles by Land Rover  

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

3 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 2013 Land Rover LR2 4 cyl, 2.0 L, Automatic (S6), Premium Gasoline Compare 2013 Land Rover LR2 17 City 20 Combined 24 Highway 2013...

247

Since 1995, under its Land Legacy  

E-Print Network (OSTI)

program, The Conservation Fund has helped protect 272,751 acres and raised $15 million for land protection. The Conservation Fund has launched the final phase of its American Land Legacy initiative to protect 200 sites around the country by 2001. The effort focuses on acquisition of threatened landscapes, critical wildlife habitat, watershed areas, prime outdoor recreational opportunities, key historical sites and community greenways. Since starting the project in 1995, the Fund and its partners have protected 1,300 acres per week. As part of the Land Legacy initiative, the Fund is working to triple the size of its revolving fund, which is used solely to finance land protection, to $30 million. With our new resources, the Fund will be able to move more effectively to save valuable land under threat of development, said John Turner, the Funds president and chief executive officer. As we move into a new century, this effort will provide us with new tools to address the growing needs of the conservation community. The third component of the Land Legacy program involves the expansion of educational opportunities to bolster the leadership skills of conservation professionals. Land legacy sites: The Funds Legacy initiative has helped preserve 85 natural, cultural and managed landscapes covering 272,751 acres valued at $222 million and acquired at a cost of $86 million. Continued on page 6

unknown authors

1998-01-01T23:59:59.000Z

248

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

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

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

249

Variational Estimation of LandAtmosphere Heat Fluxes and Land Surface Parameters Using MODIS Remote Sensing Data  

Science Conference Proceedings (OSTI)

A variational data assimilation algorithm for assimilating the land surface temperature (LST) into the Common Land Model (CLM) was implemented using the land surface energy balance equation as the adjoint physical constraint. In this data ...

Chunlei Meng; Chaolin Zhang; Ronglin Tang

2013-04-01T23:59:59.000Z

250

The Sensitivity of a Land Surface Parameterization Scheme to the Choice of Remotely Sensed Land-Cover Datasets  

Science Conference Proceedings (OSTI)

The characteristics of satellite-derived land-cover data for climate models vary depending on sensor properties and processing options. To better understand the first-order effects of differences in land-cover data on a land surface ...

K. W. Oleson; K. L. Driese; J. A. Maslanik; W. J. Emery; W. A. Reiners

1997-07-01T23:59:59.000Z

251

A Simple, Minimal Parameter Model for Predicting the Influence of Changing Land Cover on the LandAtmosphere System  

Science Conference Proceedings (OSTI)

The impacts of changing land cover on the soilvegetationatmosphere system are numerous. With the fraction of land used for farming and grazing expected to increase, extensive alterations to land cover such as replacing forests with cropland will ...

Justin E. Bagley; Ankur R. Desai; Paul C. West; Jonathan A. Foley

2011-10-01T23:59:59.000Z

252

INL Comprehensive Land Use and Environmental Stewardship Report  

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

INL Comprehensive Land Use and Environmental Stewardship Report The Idaho National Laboratory announced recently that the Comprehensive Land Use and Environmental Stewardship...

253

EA-1779: Proposed Changes to the Sanitary Biosolids Land Application...  

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

79: Proposed Changes to the Sanitary Biosolids Land Application Program on the Oak Ridge Reservation, Oak Ridge, Tennessee EA-1779: Proposed Changes to the Sanitary Biosolids Land...

254

Gas Mileage of 1990 Vehicles by Land Rover  

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

0 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1990 Land Rover Range Rover 8 cyl, 3.9 L, Automatic 4-spd, Premium Gasoline Compare 1990...

255

Gas Mileage of 1991 Vehicles by Land Rover  

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

1 Land Rover Vehicles EPA MPG MODEL City Comb Hwy 1991 Land Rover Range Rover 8 cyl, 3.9 L, Automatic 4-spd, Premium Gasoline Compare 1991...

256

EA-1856: Conveyance of Land and Facilities at the Portsmouth...  

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

56: Conveyance of Land and Facilities at the Portsmouth Gaseous Diffusion Plant for Economic Development Purposes, Piketon, Ohio EA-1856: Conveyance of Land and Facilities at the...

257

Tropical Africa: Land Use, Biomass, and Carbon Estimates for...  

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

Tropical Africa: Land Use, Biomass, and Carbon Estimates for 1990 image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNL...

258

Russian Land Cover Data Sets Released, January 7, 2004  

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

Russian Land Cover Data Sets Released, January 7, 2004 The ORNL DAAC announces the release of 12 map data products -- land cover, forested area, forest carbon content, and...

259

Hawaii Department of Land and Natural Resources | Open Energy...  

Open Energy Info (EERE)

Resources Jump to: navigation, search Logo: Hawaii Department of Land and Natural Resources Name Hawaii Department of Land and Natural Resources Address 1151 Punchbowl St Place...

260

Application for State Land Use Lease: Surface Lease (SL) - Coastal...  

Open Energy Info (EERE)

for State Land Use Lease: Surface Lease (SL) - Coastal Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Application for State Land Use Lease:...

Note: This page contains sample records for the topic "total windy land" 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

Private Lands, Public Goods: Engaging Landowners in Ecosystem Management  

E-Print Network (OSTI)

city crime and pollution To benefit from land appreciationcity crime and pollution To benefit from land appreciationland value appreciation, escape from city crime and pollution,

Ferranto, Shasta Patricia

2012-01-01T23:59:59.000Z

262

Mined Land Reclamation on DOE's Uranium Lease Tracts, Southwestern...  

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

Administration Other Agencies You are here Home Mined Land Reclamation on DOE's Uranium Lease Tracts, Southwestern Colorado Mined Land Reclamation on DOE's Uranium Lease...

263

Hawaii Department of Land and Natural Resources Commission on...  

Open Energy Info (EERE)

icon Hawaii Department of Land and Natural Resources Commission on Water Resource Management Jump to: navigation, search Name Hawaii Department of Land and Natural Resources...

264

Texas General Land Office Leasing and Easement Guidelines | Open...  

Open Energy Info (EERE)

Texas General Land Office Leasing and Easement Guidelines Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Texas General Land Office Leasing and...

265

Town of Chapel Hill - Land-Use Management Ordinance | Department...  

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

Land-Use Management Ordinance Town of Chapel Hill - Land-Use Management Ordinance Eligibility Residential Savings For Solar Buying & Making Electricity Heating & Cooling Commercial...

266

Federal Energy Management Program: Bureau of Land Management...  

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

Bureau of Land Management - Campground, Utah to someone by E-mail Share Federal Energy Management Program: Bureau of Land Management - Campground, Utah on Facebook Tweet about...

267

Coordination of Federal Transmission Permitting on Federal Lands...  

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

Coordination of Federal Transmission Permitting on Federal Lands (216(h)) Coordination of Federal Transmission Permitting on Federal Lands (216(h)) On October 23, 2009, the...

268

NREL: Energy Analysis - Renewable Energy on Contaminated Lands  

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

Renewable Energy on Contaminated Lands Map of U.S. Map of Potential Limbo Land Sites for Consideration for Renewable Energy Technology Development. Enlarge image NREL's...

269

Land Conservation (Virginia) | Department of Energy  

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

Land Conservation (Virginia) Land Conservation (Virginia) Land Conservation (Virginia) < 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 Virginia Program Type Siting and Permitting Provider Virginia Department of Conservation and Recreation The Virginia Department of Conservation and Recreation has developed the

270

Land Division: Uniform Environmental Covenants Program (Alabama) |  

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

Land Division: Uniform Environmental Covenants Program (Alabama) Land Division: Uniform Environmental Covenants Program (Alabama) Land Division: Uniform Environmental Covenants Program (Alabama) < Back Eligibility Agricultural Commercial Construction Fed. Government Industrial Local Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Alabama Program Type Environmental Regulations These regulations apply to environmental covenants arising from environmental response projects conducted under any of the following Alabama Department of Environmental Management programs: Scrap tire remediation sites, Soil and groundwater remediation sites, Leaking storage tank remediation sites, Solid waste disposal sites, Hazardous waste

271

Acquisition Of Land (Tennessee) | Department of Energy  

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

Acquisition Of Land (Tennessee) Acquisition Of Land (Tennessee) Acquisition Of Land (Tennessee) < Back Eligibility Agricultural Commercial Construction Developer 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 Tennessee Program Type Siting and Permitting Provider Tennessee Regulatory Authority Every corporation organized under the laws of any state of the United

272

Total correlations and mutual information  

E-Print Network (OSTI)

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

Zbigniew Walczak

2008-06-30T23:59:59.000Z

273

Potential for enhancing nongame bird habitat values on abandoned mine lands of western North Dakota  

SciTech Connect

Throughout western North Dakota the number of unreclaimed surface coal and coal-uranium mines might total over 1100. We examined the potential for enhancing the nongame bird habitat values of unreclaimed mine lands in the arid, western region of North Dakota. Generally, the greatest variety of birds occurred in natural and planted woodlands, while fewer birds occurred in unreclaimed mine lands, grasslands, shrublands and croplands. Deciduous woodland types supported more species of birds than coniferous types. Planted woodlands supported about the same number of bird species as some natural deciduous woodland types and more species than coniferous woods. Unreclaimed mine lands supported more species than grasslands and croplands, and about the same number of species as native shrublands. The highest bird densities were in planted woodlands. Bird diversity varied positively with habitat diversity. The bird fauna of unreclaimed mine lands can be enhanced by creating more diverse habitats. Seventeen guidelines to enhance unreclaimed mine lands for nongame birds are presented. These guidelines can be used in preserving habitats threatened by surface mining and reclaiming previously mined lands.

Burley, J.B.; Hopkins, R.B.

1984-12-01T23:59:59.000Z

274

Landed Costs of Imported Crude by Area  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Average Landed Cost 67.97 93.33 60.23 76.50 102.92 101.00 1973-2012 Persian Gulf 69.83 93.59 62.15 78.60 108.01 107.74 1973-2012 Total OPEC 71.14 95.49 61.90 78.28 107.84 107.56 1973-2012 Non OPEC 63.96 90.59 58.58 74.68 98.64 95.05 1973-2012 Selected Countries Canada 60.38 90.00 57.60 72.80 89.92 84.24 1973-2012 Colombia 70.91 93.43 58.50 74.25 102.57 107.07 1973-2012 Angola 71.27 98.18 61.32 80.61 114.05 114.95 1973-2012 Mexico 62.31 85.97 57.35 72.86 101.21 102.45 1973-2012 Nigeria 78.01 104.83 68.01 83.14 116.43 116.88 1973-2012 Saudi Arabia 70.78 94.75 62.14 79.29 108.83 108.15 1973-2012 United Kingdom 72.47 96.95 63.87 80.29 118.45 W 1973-2012 Venezuela

275

Stakeholder Engagement and Outreach: Wind Power on State Lands  

Wind Powering America (EERE)

Wind Power on State Lands Wind Power on State Lands Wind development can be an attractive revenue option for states that have viable wind resources on their trust lands. Wind can provide much higher revenue per acre than many other sources of typical revenue. An added benefit is that harvesting the wind does not deplete any finite resources. Several state land offices are already pursuing wind development on state trust lands. The first such wind project, in west Texas, is a joint project by the Texas General Land Office and the Lower Colorado River Authority, a public utility in central Texas. Wind Powering America Assistance to State Land Offices Analysis of State Land Potential NREL can assist state land offices in analyzing their trust lands for wind development potential. By overlaying wind resource maps with land use,

276

Land use and environmental impacts of decentralized solar energy use  

DOE Green Energy (OSTI)

The physical, spatial and land-use impacts of decentralized solar technologies applied at the community level by the year 2000 are examined. The results of the study are intended to provide a basis for evaluating the way in which a shift toward reliance on decentralized energy technologies may eventually alter community form. Six land-use types representative of those found in most US cities are analyzed according to solar penetration levels identified in the maximum solar scenario for the year 2000. The scenario is translated into shares of end use demand in the residential, commercial and industrial sectors. These proportions become the scenario goals to be met by the use of decentralized solar energy systems. The percentage of total energy demand is assumed to be 36.5 percent, 18.8 percent and 22.6 percent in the residential, commercial and industrial sectors respectively. The community level scenario stipulated that a certain percentage of the total demand be met by on-site solar collection, i.e. photovoltaic and thermal collectors, and by passive design. This on-site solar goal is 31.9 percent (residential), 16.8 percent (commercial) and 13.1 percent (industrial).

Twiss, R.H.; Smith, P.L.; Gatzke, A.E.; McCreary, S.T.

1980-01-01T23:59:59.000Z

277

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

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

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

278

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

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

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

279

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

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

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

280

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

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

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


281

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

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

282

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

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

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

283

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

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

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

284

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

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

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

285

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

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

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

286

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

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

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

287

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

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

288

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

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

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

289

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

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

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

290

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

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

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

291

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

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

292

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

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

293

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

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

294

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

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

295

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

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

296

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

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

297

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

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

298

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

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

299

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

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

300

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

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

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


301

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

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

302

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

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

303

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

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

304

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

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

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

305

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

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

306

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

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

307

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

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

308

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

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

309

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

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

310

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

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

311

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

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

312

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

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

313

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

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

314

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

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

315

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

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

316

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

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

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

317

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

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

318

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

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

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................

319

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

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week..................................................... 3.9 1.7 0.6 0.9 0.8 Less Than Once a Week.............................................. 4.1 2.2 0.6 0.8 0.5 No Hot Meals Cooked................................................... 0.9 0.4 Q Q Q Conventional Oven Use an Oven................................................................. 109.6 46.2 18.8

320

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

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

Single-Family Units Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business

Note: This page contains sample records for the topic "total windy land" 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

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

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat Pump............................................. 53.5 16.2 10.6 5.6 With a Heat Pump................................................. 12.3 1.1 0.8 0.4 Window/Wall Units.................................................. 28.9 6.6 4.9 1.7 1 Unit..................................................................... 14.5 4.1 2.9 1.2 2 Units...................................................................

322

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

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

20.6 20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump.............................................. 53.5 5.5 16.2 23.2 8.7 With a Heat Pump................................................... 12.3 0.5 1.1 9.0 1.7 Window/Wall Units..................................................... 28.9 10.7 6.6 8.0 3.6 1 Unit......................................................................

323

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

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

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

324

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

Annual Energy Outlook 2012 (EIA)

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

325

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

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

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

326

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

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

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

327

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

Annual Energy Outlook 2012 (EIA)

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

328

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

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

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

329

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

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

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

330

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

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

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

331

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

Gasoline and Diesel Fuel Update (EIA)

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

332

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

Annual Energy Outlook 2012 (EIA)

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

333

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

Gasoline and Diesel Fuel Update (EIA)

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

334

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

Gasoline and Diesel Fuel Update (EIA)

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

335

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

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

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

336

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

Gasoline and Diesel Fuel Update (EIA)

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

337

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

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

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

338

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

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

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

339

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

340

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

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


341

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

Annual Energy Outlook 2012 (EIA)

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

342

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

Annual Energy Outlook 2012 (EIA)

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

343

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

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

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

344

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

Annual Energy Outlook 2012 (EIA)

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

345

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

Annual Energy Outlook 2012 (EIA)

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

346

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

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

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

347

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

Gasoline and Diesel Fuel Update (EIA)

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

348

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

Gasoline and Diesel Fuel Update (EIA)

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

349

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

Gasoline and Diesel Fuel Update (EIA)

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

350

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

Annual Energy Outlook 2012 (EIA)

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

351

Two LBA-ECO Land Use and Land Cover Data Sets Released  

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

Land Use and Land Cover Data Sets Released Land Use and Land Cover Data Sets Released The ORNL DAAC and the LBA DIS announce the release of two data sets from the Land Use and Land Cover (LC-04) science teams associated with the ecology component of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA), LBA-ECO: LBA-ECO LC-04 THMB Model Simulations for the Amazon and Tocantins Basins: 1939-1998 . Data set prepared by M.T. Coe, M.H. Costa, A. Botta, and C. Birkett. The model output data provided were generated by the THMB 1.2 (Terrestrial Hydrology Model with Biogeochemistry) model which simulates the flow of water through groundwater systems, rivers, lakes and wetlands. The model operates at a 5-minute latitude-by-longitude grid with a 1-hour time step and requires as boundary conditions: topography,

352

Land Management and Disposal | Department of Energy  

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

Land Management and Disposal Land Management and Disposal Land Management and Disposal Land Management and Disposal 42 USC 2201(g), Section 161(g), of the AEA 42 USC Section 2224, Section 174 DOE, July 2004, Real Property Desk Guide Requirements: Document Title P.L. 83-703 (68 Stat. 919), Section 161g Grants Special Authority as Required in the Act to Acquire, Sell, Dispose, etc., of Real Property in Furtherance of the Department's Mission (Under the Atomic Energy Act of 1954) P.L. 95-91, 91 Stat. 578 (Sections 302 and 347) Department of Energy Organizational Act of 1977, Delegated Authority for Real Property P.L. 106-580 Federal Property and Administrative Services Act of 1949, As Amended P.L. 105-85 Federal Property and Administrative Services Act of 1949, As Amended 10 CFR 770 Transfer of Real Property at Defense Nuclear Facilities for Economic Development

353

Lagrangian Detection of Windshear for Landing Aircraft  

Science Conference Proceedings (OSTI)

Recent studies have shown that aerial disturbances affecting landing aircraft have a coherent signature in the Lagrangian aerial particle dynamics inferred from ground-based lidar scans. Specifically, attracting Lagrangian Coherent Structures (...

Hossein Amini Kafiabad; Pak Wai Chan; George Haller

354

Why Has the Land Memory Changed?  

Science Conference Proceedings (OSTI)

The land memory refers to an interseasonal predictability of the summer monsoon rainfall in the southwestern United States, describing a relationship of the summer monsoon rainfall anomaly with anomalies in the antecedent winter season snow and ...

Qi Hu; Song Feng

2004-08-01T23:59:59.000Z

355

AG Land 1 | Open Energy Information  

Open Energy Info (EERE)

1 1 Jump to: navigation, search Name AG Land 1 Facility AG Land 1 Sector Wind energy Facility Type Community Wind Facility Status In Service Owner AG Land Energy LLC Developer AG Land Energy LLC Energy Purchaser Alliant Energy Location Story County IA Coordinates 42.145531°, -93.432161° 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":42.145531,"lon":-93.432161,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

356

Idaho Department of Lands | Open Energy Information  

Open Energy Info (EERE)

Lands Lands Jump to: navigation, search Logo: Idaho Department of Lands Name Idaho Department of Lands Address 300 N. 6th Street, Suite 103 Place Boise, Idaho Zip 83702 Phone number 208-334-0200 Website http://www.idl.idaho.gov/overv Coordinates 43.615992°, -116.199217° 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":43.615992,"lon":-116.199217,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

357

Federal Regulations: Bureau of Land Management  

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

a bureau in the U.S. Department of the Interior, has jurisdiction over onshore leasing, exploration, development, and production of oil and gas on federal lands. In addition, the...

358

Causes of Robust Seasonal Land Precipitation Changes  

Science Conference Proceedings (OSTI)

Historical simulations from the Coupled Model Intercomparison Project phase 5 (CMIP5) archive are used to calculate the zonal mean change in seasonal land precipitation for the second half of the twentieth century in response to a range of ...

Debbie Polson; Gabriele C. Hegerl; Xuebin Zhang; Timothy J. Osborn

359

Hydroelectric Resources on State Lands (Montana)  

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

This chapter authorizes the leasing of state lands for the development of hydroelectric resources. It provides regulations for the granting and duration of leases, as well as for the inspection of...

360

Biomass Energy and Competition for Land  

E-Print Network (OSTI)

We describe an approach for incorporating biomass energy production and competition for land into the MIT Emissions Prediction and Policy Analysis (EPPA) model, a computable general equilibrium model of the world economy, ...

Reilly, John

Note: This page contains sample records for the topic "total windy land" 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

DEPARTMENT OF LAND RESOURCES AND ENVIRONMENTAL SCIENCES  

E-Print Network (OSTI)

, but are not limited to, topics such as hydrology, watershed analysis, integrated management.S. degree in Land Resources and Environmental Sciences. This program is designed to provide outstanding graduate training opportunities across a substantial breadth

Lawrence, Rick L.

362

OpenEI - land-use  

Open Energy Info (EERE)

en.openei.orgdatasetstaxonomyterm4170 en Land use requirements for ground-mounted solar power facilities. http:en.openei.orgdatasetsnode454

This dataset is part of...

363

Global Vegetation Root Distribution for Land Modeling  

Science Conference Proceedings (OSTI)

Vegetation root distribution is one of the factors that determine the overall water holding capacity of the land surface and the relative rates of water extraction from different soil layers for vegetation transpiration. Despite its importance, ...

Xubin Zeng

2001-10-01T23:59:59.000Z

364

"We have this land as our right" : ethnicity, politics, and land rights conflict at Enoosupukia, Kenya.  

E-Print Network (OSTI)

??Population growth and internal migration in parts of the developing world have led to increased conflict over land rights carried out in the context of (more)

Matter, Scott

2004-01-01T23:59:59.000Z

365

Land information system: An interoperable framework for high resolution land surface modeling  

E-Print Network (OSTI)

surface states and fluxes. LIS employs the use of scalable, high performance computing and data management. All rights reserved. Keywords: Land surface modeling; High performance computing; Object

Houser, Paul R.

366

Idle Operating Total Stream Day  

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

3 3 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 11 10 1 1,293,200 1,265,200 28,000 1,361,700 1,329,700 32,000 ............................................................................................................................................... PAD District I 1 1 0 182,200 182,200 0 190,200 190,200 0 ................................................................................................................................................................................................................................................................................................ Delaware......................................

367

China Total Cloud Amount Trends  

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

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

368

Hanford Federal Facility state of Washington leased land  

SciTech Connect

This report was prepared to provide information concerning past solid and hazardous waste management practices for all leased land at the US DOE Hanford Reservation. This report contains sections including land description; land usage; ground water, air and soil monitoring data; and land uses after 1963. Numerous appendices are included which provide documentation of lease agreements and amendments, environmental assessments, and site surveys.

Not Available

1993-11-01T23:59:59.000Z

369

USGS-Land Cover Institute (LCI) | Open Energy Information  

Open Energy Info (EERE)

USGS-Land Cover Institute (LCI) USGS-Land Cover Institute (LCI) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: USGS-Land Cover Institute (LCI) Agency/Company /Organization: United States Geological Survey Sector: Land Focus Area: Land Use Topics: Resource assessment Resource Type: Maps User Interface: Website Website: landcover.usgs.gov/landcoverdata.php Cost: Free USGS-Land Cover Institute (LCI) Screenshot References: USGS-Land Cover Institute (LCI)[1] "Welcome to the U.S Geological Survey (USGS) Land Cover Institute (LCI). The USGS currently houses the institute at the Center for Earth Resources Observation and Science (EROS) in Sioux Falls, South Dakota. The LCI will address land cover topics from local to global scales, and in both domestic and international settings. The USGS through the Land Cover Institute

370

If sterile neutrinos exist, how can one determine the total solar neutrino fluxes?  

E-Print Network (OSTI)

The 8B solar neutrino flux inferred from a global analysis of solar neutrino experiments is within 11% (1 sigma) of the predicted standard solar model value if only active neutrinos exist, but could be as large as 1.7 times the standard prediction if sterile neutrinos exist. We show that the total 8B neutrino flux (active plus sterile neutrinos) can be determined experimentally to about 10% (1 sigma) by combining charged current measurements made with the KamLAND reactor experiment and with the SNO CC solar neutrino experiment, provided the LMA neutrino oscillation solution is correct and the simulated performance of KamLAND is valid. Including also SNO NC data, the sterile component of the 8B neutrino flux can be measured by this method to an accuracy of about 12% (1 sigma) of the standard solar model flux. Combining Super-Kamiokande and KamLAND measurements and assuming the oscillations occur only among active neutrinos, the 8B neutrino flux can be measured to 6% (1 sigma); the total flux can be measured to an accuracy of about 9%. The total 7Be solar neutrino flux can be determined to an accuracy of about 28% (1 sigma) by combining measurements made with the KamLAND, SNO, and gallium neutrino experiments. One can determine the total 7Be neutrino flux to a one sigma accuracy of about 11% or better by comparing data from the KamLAND experiment and the BOREXINO solar neutrino experiment provided both detectors work as expected. The pp neutrino flux can be determined to about 15% using data from the gallium, KamLAND, BOREXINO, and SNO experiments.

John N. Bahcall; M. C. Gonzalez-Garcia; C. Pena-Garay

2002-04-16T23:59:59.000Z

371

Historic land use and carbon estimates for South and Southeast Asia: 1880--1980  

SciTech Connect

This document describes the contents of a digital data base containing estimates of land use change and the carbon content of vegetation for South and Southeast Asia for the years 1880, 1920, 1950, 1970, and 1980. These data were originally collected for climate modelers, so they could reduce the uncertainty associated with the magnitude and time course of historical land use change and of carbon release. For this data base, South and Southeast Asia is defined as the countries of India, Sri Lanka, Bangladesh, Myanmar (Burma), Thailand, Laos, Kampuchea (Cambodia), Vietnam, Malaysia, Brunei, Singapore, Indonesia, and the Philippines. The most important change in land use over the 100 year period was the conversion of 107 {times} 10{sup 6} ha of forest/woodland to categories with lower biomass. Land thus transformed accounted for 13.5% of the total area of the study region. The estimated total carbon content of live vegetation in South and Southeast Asia has dropped progressively, from 59 {times} 10{sup 9} Mg in 1880 to 27 {times} 10{sup 9} Mg in 1980. Throughout the study period the carbon stock in forests was greater than the carbon content in all other categories combined, although its share of the total declined progressively from 81% in 1880 to 73% in 1980. The data base itself was developed in Lotus 1-2-3{trademark} using a sequential bookkeeping model. The source data were obtained at the local and regional level for each country from official agricultural and economic statistics from historical geographic and demographic texts, reports, and articles; and from any other available source. Because of boundary changes through time and disparities between the validity, availability, and scale of the data for each country, the data were aggregated into 94 ecological zones. The resulting data base contains land use and carbon information for 94 ecological zones and national totals for 13 countries.

Daniels, R.C. [ed.] [Oak Ridge National Lab., TN (United States). Carbon Dioxide Information Analysis Center]|[Univ. of Tennessee, Knoxville, TN (United States). Energy, Environment and Resources Center; Richards, J.F.; Flint, E.P. [Duke Univ., Durham, NC (United States). Dept. of History

1994-01-01T23:59:59.000Z

372

total energy | OpenEI  

Open Energy Info (EERE)

total energy total energy Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

373

Wind and Temperature Structure over a Land-Water-Land Area  

Science Conference Proceedings (OSTI)

Wind and temperature data obtained on 5 June 1984 during the resund experiment are analyzed. The day was characterized by moderately strong winds blowing from a heated land area over a colder water surface and then over a second heated land ...

J. C. Doran; Sven-Erik Gryning

1987-08-01T23:59:59.000Z

374

Development of a Unified Land Model for Prediction of Surface Hydrology and LandAtmosphere Interactions  

Science Conference Proceedings (OSTI)

A unified land model (ULM) is described that combines the surface flux parameterizations in the Noah land surface model (used in most of NOAAs coupled weather and climate models) with the Sacramento Soil Moisture Accounting model (Sac; used for ...

Ben Livneh; Pedro J. Restrepo; Dennis P. Lettenmaier

2011-12-01T23:59:59.000Z

375

Evolution trends of land use/land cover in a mediterranean forest landscape in Italy  

Science Conference Proceedings (OSTI)

To understand the evolution trends of landscape, in particular those linked to urban/rural relations, is crucial for a sustainable landscape planning. The main goal of this paper is to interpret the forest landscape dynamics occurred over the period ... Keywords: Calabria (Italy), GIS, Mediterranean forest landscape, aerial photographs, land use/land cover (LULC) changes, transition matrices

Salvatore Di Fazio; Giuseppe Modica; Paolo Zoccali

2011-06-01T23:59:59.000Z

376

File:03-TX-f - Lease of Land Trade Lands.pdf | Open Energy Information  

Open Energy Info (EERE)

f - Lease of Land Trade Lands.pdf f - Lease of Land Trade Lands.pdf Jump to: navigation, search File File history File usage Metadata File:03-TX-f - Lease of Land Trade Lands.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 42 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 13:54, 26 July 2013 Thumbnail for version as of 13:54, 26 July 2013 1,275 × 1,650 (42 KB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following page links to this file: GRR/Section 3-TX-f - Lease of Land Trade Lands

377

SELECT BIBLIOGRAPHY OF REPORTS ON BIOFUELS, LAND RIGHTS IN AFRICA & GLOBAL LAND GRABBING  

E-Print Network (OSTI)

.pdf Bio-fuelling Poverty: Why the EU renewable-fuel target may be disastrous for poor people, Briefing1 SELECT BIBLIOGRAPHY OF REPORTS ON BIOFUELS, LAND RIGHTS IN AFRICA & GLOBAL LAND GRABBING by Robin://ftp.fao.org/docrep/fao/012/ak582e/ak582e00.pdf Making Sustainable Biofuels work for Smallholder Farmers and Rural Households

378

Land application systems for municipal sludge  

SciTech Connect

The production of treated municipal sludge requiring disposal or recycling has increased substantially in the last 10 years as a result of more stringent waste-water treatment requirements. In 1974, for example, there were 3.2 million dry tons of sludge requiring disposal. By 1982 that number had more than doubled to 6.5 million dry tons/year. Land application of municipal sludge is widely practiced in the United States as a method of handling these increasing tonnages. For wastewater treatment plants with less than 10 mgd capacity, 39 percent of the sludge produced is managed by land application. Currently, for all size treatment plants, about 25 percent of the nation's sludge is land applied. The experience with land application has shown it to be a safe and effective sludge management practice. In particular, research and studies of the practice over the past 10 years have produced new knowledge which allows the benefits of land application to be realized with minimal adverse impact. 11 references.

Crites, R.W.

1985-05-01T23:59:59.000Z

379

Polarimetric Remote Sensing of Aerosols over Land  

Science Conference Proceedings (OSTI)

The sensitivity of accurate polarized reflectance measurements over a broad spectral (410 -2250 nm) and angular (60 from nadir) range to the presence of aerosols over land is analyzed and the consequent ability to retrieve the aerosol burden and microphysical model is assessed. Here we present a new approach to the correction of polarization observations for the effects of the surface that uses longer wavelength observations to provide a direct estimate of the surface polarized reflectance. This approach to surface modeling is incorporated into an optimal estimation framework for retrieving the particle number density and a detailed aerosol microphysical model: effective radius, effective variance and complex refractive index of aerosols. A sensitivity analysis shows that the uncertainties in aerosol optical thickness (AOT) increase with AOT while the uncertainties in the microphysical model decrease. Of particular note is that the uncertainty in the single scattering albedo is less than 0.05 by the time the AOT is greater than 0.2. We also find that calibration is the major source of uncertainty and that perfect angular and spectral correlation of calibration errors reduces the uncertainties in retrieved quantities compared with the case of uncorrelated errors. Finally, in terms of required spectral range, we observe that shorter wavelength (aerosols from polarized reflectance observations. The optimal estimation scheme is then tested on observations made by the Research Scanning Polarimeter during the Aerosol Lidar Validation experiment and over Southern California wild fires. These two sets of observations test the retrieval scheme under pristine and polluted conditions respectively. In both cases we find that the retrievals are within the combined uncertainties of the retrieval and the Aerosol Robotic Network Cimel products and Total Ozone Mapping Spectrometer Aerosol Index that we are comparing to. This confirms the validity of the sensitivity analysis of the polarized reflectance observations to the aerosol number density and microphysical model and demonstrates the unique capability to accurately retrieve aerosol optical depths under pristine conditions and also the single scattering albedo of aerosols at higher optical depths.

Waquet, F.; Cairns, Brian; Knobelspiesse, Kirk D.; Chowdhary, J.; Travis, Larry D.; Schmid, Beat; Mishchenko, M.

2009-01-26T23:59:59.000Z

380

California State Lands Commission | Open Energy Information  

Open Energy Info (EERE)

Lands Commission Lands Commission Jump to: navigation, search Name California State Lands Commission Address 100 Howe Ave., Suite 100 South Place Sacramento, California Zip 95825-8282 Phone number 916-574-1900 Website http://www.slc.ca.gov/ Coordinates 38.5653989°, -121.4075812° 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":38.5653989,"lon":-121.4075812,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "total windy land" 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

AG Land 5 | Open Energy Information  

Open Energy Info (EERE)

5 5 Jump to: navigation, search Name AG Land 5 Facility AG Land 5 Sector Wind energy Facility Type Community Wind Facility Status In Service Owner AG Land Energy LLC Developer Enervation LLC Energy Purchaser Alliant Energy Location Hamilton County IA Coordinates 42.335544°, -93.636953° 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":42.335544,"lon":-93.636953,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

382

Texas General Land Office | Open Energy Information  

Open Energy Info (EERE)

Texas General Land Office Texas General Land Office Name Texas General Land Office Address 1700 Congress Ave Place Austin, Texas Zip 78701 Website www.glo.texas.gov/ Coordinates 30.279382°, -97.73936° 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":30.279382,"lon":-97.73936,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

383

Ewing Land Development Services | Open Energy Information  

Open Energy Info (EERE)

Ewing Land Development Services Ewing Land Development Services Jump to: navigation, search Name Ewing Land Development & Services Place Pella, Iowa Zip 50219 Product Real estate development company diversifying into ethanol production. Coordinates 41.40739°, -92.916459° 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":41.40739,"lon":-92.916459,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

384

Determining Robust Impacts of Land-Use-Induced Land Cover Changes on Surface Climate over North America and Eurasia: Results from the First Set of LUCID Experiments  

Science Conference Proceedings (OSTI)

The project Land-Use and Climate, Identification of Robust Impacts (LUCID) was conceived to address the robustness of biogeophysical impacts of historical land useland cover change (LULCC). LUCID used seven atmosphereland models with a common ...

Nathalie de Noblet-Ducoudr; Juan-Pablo Boisier; Andy Pitman; G. B. Bonan; V. Brovkin; Faye Cruz; C. Delire; V. Gayler; B. J. J. M. van den Hurk; P. J. Lawrence; M. K. van der Molen; C. Mller; C. H. Reick; B. J. Strengers; A. Voldoire

2012-05-01T23:59:59.000Z

385

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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

386

Development of High Resolution Land Surface Parameters for the Community Land Model  

SciTech Connect

There is a growing need for high-resolution land surface parameters as land surface models are being applied at increasingly higher spatial resolution offline as well as in regional and global models. The default land surface parameters for the most recent version of the Community Land Model (i.e. CLM 4.0) are at 0.5 or coarser resolutions, released with the Community Earth System Model (CESM). Plant Functional Types (PFTs), vegetation properties such as Leaf Area Index (LAI), Stem Area Index (SAI), and non-vegetated land covers were developed using remotely sensed datasets retrieved in late 1990s and the beginning of this century. In this study, we developed new land surface parameters for CLM 4.0, specifically PFTs, LAI, SAI and non-vegetated land cover composition, at 0.05 resolution globally based on the most recent MODIS land cover and improved MODIS LAI products. Compared to the current CLM 4.0 parameters, the new parameters produced a decreased coverage by bare soil and trees, but an increased coverage by shrub, grass, and cropland. The new parameters result in a decrease in global seasonal LAI, with the biggest decrease in boreal forests; however, the new parameters also show a large increase in LAI in tropical forest. Differences between the new and the current parameters are mainly caused by changes in the sources of remotely sensed data and the representation of land cover in the source data. Advantages and disadvantages of each dataset were discussed in order to provide guidance on the use of the data. The new high-resolution land surface parameters have been used in a coupled land-atmosphere model (WRF-CLM) applied to the western U.S. to demonstrate their use in high-resolution modeling. A remapping method from the latitude/longitude grid of the CLM data to the WRF grids with map projection was also demonstrated. Future work will include global offline CLM simulations to examine the impacts of source data resolution and subsequent land parameter changes on simulated land surface processes.

Ke, Yinghai; Leung, Lai-Yung R.; Huang, Maoyi; Coleman, Andre M.; Li, Hongyi; Wigmosta, Mark S.

2012-11-06T23:59:59.000Z

387

A framework for benchmarking land models  

SciTech Connect

Land models, which have been developed by the modeling community in the past few decades to predict future states of ecosystems and climate, have to be critically evaluated for their performance skills of simulating ecosystem responses and feedback to climate change. Benchmarking is an emerging procedure to measure performance of models against a set of defined standards. This paper proposes a benchmarking framework for evaluation of land model performances and, meanwhile, highlights major challenges at this infant stage of benchmark analysis. The framework includes (1) targeted aspects of model performance to be evaluated, (2) a set of benchmarks as defined references to test model performance, (3) metrics to measure and compare performance skills among models so as to identify model strengths and deficiencies, and (4) model improvement. Land models are required to simulate exchange of water, energy, carbon and sometimes other trace gases between the atmosphere and land surface, and should be evaluated for their simulations of biophysical processes, biogeochemical cycles, and vegetation dynamics in response to climate change across broad temporal and spatial scales. Thus, one major challenge is to select and define a limited number of benchmarks to effectively evaluate land model performance. The second challenge is to develop metrics of measuring mismatches between models and benchmarks. The metrics may include (1) a priori thresholds of acceptable model performance and (2) a scoring system to combine data model mismatches for various processes at different temporal and spatial scales. The benchmark analyses should identify clues of weak model performance to guide future development, thus enabling improved predictions of future states of ecosystems and climate. The near-future research effort should be on development of a set of widely acceptable benchmarks that can be used to objectively, effectively, and reliably evaluate fundamental properties of land models to improve their prediction performance skills.

Luo, Yiqi [University of Oklahoma; Randerson, James T. [University of California, Irvine; Hoffman, Forrest [ORNL; Norby, Richard J [ORNL

2012-01-01T23:59:59.000Z

388

A framework for benchmarking land models  

SciTech Connect

Land models, which have been developed by the modeling community in the past few decades to predict future states of ecosystems and climate, have to be critically evaluated for their performance skills of simulating ecosystem responses and feedback to climate change. Benchmarking is an emerging procedure to measure performance of models against a set of defined standards. This paper proposes a benchmarking framework for evaluation of land model performances and, meanwhile, highlights major challenges at this infant stage of benchmark analysis. The framework includes (1) targeted aspects of model performance to be evaluated, (2) a set of benchmarks as defined references to test model performance, (3) metrics to measure and compare performance skills among models so as to identify model strengths and deficiencies, and (4) model improvement. Land models are required to simulate exchange of water, energy, carbon and sometimes other trace gases between the atmosphere and land surface, and should be evaluated for their simulations of biophysical processes, biogeochemical cycles, and vegetation dynamics in response to climate change across broad temporal and spatial scales. Thus, one major challenge is to select and define a limited number of benchmarks to effectively evaluate land model performance. The second challenge is to develop metrics of measuring mismatches between models and benchmarks. The metrics may include (1) a priori thresholds of acceptable model performance and (2) a scoring system to combine datamodel mismatches for various processes at different temporal and spatial scales. The benchmark analyses should identify clues of weak model performance to guide future development, thus enabling improved predictions of future states of ecosystems and climate. The near-future research effort should be on development of a set of widely acceptable benchmarks that can be used to objectively, effectively, and reliably evaluate fundamental properties of land models to improve their prediction performance skills.

Luo, Yiqi; Randerson, J.; Abramowitz, G.; Bacour, C.; Blyth, E.; Carvalhais, N.; Ciais, Philippe; Dalmonech, D.; Fisher, J.B.; Fisher, R.; Friedlingstein, P.; Hibbard, Kathleen A.; Hoffman, F. M.; Huntzinger, Deborah; Jones, C.; Koven, C.; Lawrence, David M.; Li, D.J.; Mahecha, M.; Niu, S.L.; Norby, Richard J.; Piao, S.L.; Qi, X.; Peylin, P.; Prentice, I.C.; Riley, William; Reichstein, M.; Schwalm, C.; Wang, Y.; Xia, J. Y.; Zaehle, S.; Zhou, X. H.

2012-10-09T23:59:59.000Z

389

Land-based turbine casting initiative  

DOE Green Energy (OSTI)

To meet goals for the ATS program, technical advances developed for aircraft gas turbine engines need to be applied to land-based gas turbines. These advances include directionally solidified and single crystal castings, alloys tailored to exploit these microstructures, complex internal cooling schemes, and coatings. The proposed program to scale aircraft gas turbine casting technology up to land based gas turbine size components is based on low sulfur alloys, casting process development, post-cast process development, and establishing casting defect tolerance levels. The inspection side is also discussed.

Mueller, B.A.; Spicer, R.A. [Howmet Corp., Whitehall, MI (United States)

1995-12-31T23:59:59.000Z

390

Ecological perspectives of land use history: The Arid Lands Ecology (ALE) Reserve  

SciTech Connect

The objective of this study was to gather information on the land use history of the Arid Land Ecology (ALE) Reserve so that current ecological research could be placed within a historical perspective. The data were gathered in the early 1980s by interviewing former users of the land and from previously published research (where available). Interviews with former land users of the ALE Reserve in Benton County, Washington, revealed that major land uses from 1880 to 1940 were homesteading, grazing, oil/gas production, and road building. Land use practices associated with grazing and homesteading have left the greatest impact on the landscape. Disturbed sites where succession is characterized by non-native species, plots where sagebrush was railed away, and sheep trails are major indications today of past land uses. Recent estimates of annual bunchgrass production do ALE do not support the widespread belief that bunchgrass were more productive during the homesteading era, though the invasion of cheatgrass (Bromus tectorum), Jim Hill mustard (Sisymbrium altissium), and other European alien plant species has altered pre-settlement succession patterns. 15 refs., 6 figs., 1 tab.

Hinds, N R; Rogers, L E

1991-07-01T23:59:59.000Z

391

Agriculture and Land Use National Greenhouse Gas Inventory Software | Open  

Open Energy Info (EERE)

Agriculture and Land Use National Greenhouse Gas Inventory Software Agriculture and Land Use National Greenhouse Gas Inventory Software Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Agriculture and Land Use National Greenhouse Gas Inventory Software Agency/Company /Organization: Colorado State University Partner: United States Agency for International Development, United States Forest Service, United States Environmental Protection Agency Sector: Land Focus Area: Forestry, Agriculture Topics: GHG inventory Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.nrel.colostate.edu/projects/ghgtool/index.php Cost: Free Agriculture and Land Use National Greenhouse Gas Inventory Software Screenshot References: Agriculture and Land Use National Greenhouse Gas Inventory Software[1]

392

The land use climate change energy nexus  

SciTech Connect

Landscape ecology focuses on the spatial patterns and processes of ecological and human interactions. These patterns and processes are being altered both by changing human resource-management practices and changing climate conditions associated, in part, with increases in atmospheric concentrations of greenhouse gases. Dominant resource extraction and land management activities involve energy, and the use of fossil energy is one of the key drivers behind increasing greenhouse gas emissions as well as land-use changes. Alternative energy sources (such as wind, solar, nuclear, and bioenergy) are being explored to reduce greenhouse gas emission rates. Yet, energy production, including alternative-energy options, can have a wide range of effects on land productivity, surface cover, albedo, and other factors that affect carbon, water and energy fluxes and, in turn, climate. Meanwhile, climate influences the potential output, relative efficiencies and sustainability of alternative energy sources. Thus climate change, energy choices, and land-use change are linked, and any analysis in landscape ecology that considers one of these factors should consider them all. This analysis explores the implications of those linkages and points out ecological patterns and processes that may be affected by these interactions.

Dale, Virginia H [ORNL; Efroymson, Rebecca Ann [ORNL; Kline, Keith L [ORNL

2011-01-01T23:59:59.000Z

393

Arid Lands Ecology Facility management plan  

SciTech Connect

The Arid Lands Ecology (ALE) facility is a 312-sq-km tract of land that lies on the western side of the Hanford Site in southcentral Washington. The US Atomic Energy Commission officially set aside this land area in 1967 to preserve shrub-steppe habitat and vegetation. The ALE facility is managed by Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE) for ecological research and education purposes. In 1971, the ALE facility was designated the Rattlesnake Hills Research Natural Area (RNA) as a result of an interagency federal cooperative agreement, and remains the largest RNA in Washington. it is also one of the few remaining large tracts of shrub-steppe vegetation in the state retaining a predominant preeuropean settlement character. This management plan provides policy and implementation methods for management of the ALE facilities consistent with both US Department of Energy Headquarters and the Richland Field Office decision (US Congress 1977) to designate and manage ALE lands as an RNA and as a component of the DOE National Environmental Research Park System.

None

1993-02-01T23:59:59.000Z

394

Land Use Baseline Report Savannah River Site  

Science Conference Proceedings (OSTI)

This document is to serve as a resource for Savannah River Site managers, planners, and SRS stakeholders by providing a general description of the site and land-use factors important to future use decisions and plans. The intent of this document is to be comprehensive in its review of SRS and the surrounding area.

Noah, J.C.

1995-06-29T23:59:59.000Z

395

Systematic Bias in Land Surface Models  

Science Conference Proceedings (OSTI)

A neural networkbased flux correction technique is applied to three land surface models. It is then used to show that the nature of systematic model error in simulations of latent heat, sensible heat, and the net ecosystem exchange of CO2 is ...

Gab Abramowitz; Andy Pitman; Hoshin Gupta; Eva Kowalczyk; Yingping Wang

2007-10-01T23:59:59.000Z

396

Land Surface Reflectance: A Possible Earth Science  

E-Print Network (OSTI)

are in magenta, water bodies are outlined in white. MODIS Surface Reflectance South Africa From: E. Vermote, UMD correction (low, medium, high) ­ cloud and cloud shadow ­ snow flag ­ land/water flag · Supplemental information ­ Viewing geometry (view and solar zenith and azimuth angles) ­ Geolocation (lat

397

LAND USE, COVER AND FORMS CLASSIFICATION SYSTEM  

E-Print Network (OSTI)

upon request other state agencies in their mapping activities. Although our primary responsibility. 1 #12;2 A committee representing eight state agencies was formed in 1973 to improve land resources data coordination within the various state agencies by reducing duplication of effort and increasing

Binford, Michael W.

398

State Agency Land Leases Prepared for the  

E-Print Network (OSTI)

State Agency Land Leases Prepared for the U.S. Department of Energy Office of Electricity Delivery as an account of work sponsored by an agency of the United States Government. Neither the United States, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions

399

State Agency Land Leases Prepared for the  

E-Print Network (OSTI)

State Agency Land Leases Prepared for the U.S. Department of Energy Office of Electricity Delivery of the United States Government. Neither the United States Government nor any agency thereof, nor any or any agency thereof. The views and opinions of authors expressed herein do not necessarily state

400

Bureau of Land Management Oil Shale Development  

E-Print Network (OSTI)

Bureau of Land Management Oil Shale Development Unconventional Fuels Conference University of Utah May 17, 2011 #12;#12;Domestic Oil Shale Resources Primary oil shale resources in the U.S. are in the Green River Formation in Wyoming, Utah, and Colorado. 72 % of this oil shale resource is on Federal

Utah, University of

Note: This page contains sample records for the topic "total windy land" 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

A survey of land mine detection technology  

Science Conference Proceedings (OSTI)

This paper describes the state of the art in land mine detection technology and algorithms. Landmine detection is a growing concern due to the danger of buried landmines to people's lives, economic growth and development. Most of the injured people have ...

L. Robledo; M. Carrasco; D. Mery

2009-01-01T23:59:59.000Z

402

Causes of Robust Seasonal Land Precipitation Changes  

Science Conference Proceedings (OSTI)

Historical simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5) archive are used to calculate the zonal-mean change in seasonal land precipitation for the second half of the twentieth century in response to a range of ...

Debbie Polson; Gabriele C. Hegerl; Xuebin Zhang; Timothy J. Osborn

2013-09-01T23:59:59.000Z

403

Evaluating the Performance of Land Surface Models  

Science Conference Proceedings (OSTI)

This paper presents a set of analytical tools to evaluate the performance of three land surface models (LSMs) that are used in global climate models (GCMs). Predictions of the fluxes of sensible heat, latent heat, and net CO2 exchange obtained ...

Gab Abramowitz; Ray Leuning; Martyn Clark; Andy Pitman

2008-11-01T23:59:59.000Z

404

Revisiting GLACE: Understanding the Role of the Land Surface in LandAtmosphere Coupling  

Science Conference Proceedings (OSTI)

The Global LandAtmosphere Coupling Experiment (GLACE) established a method for quantifying and comparing the influence of soil moisture on the atmosphere in AGCMs. The models included in the GLACE intercomparison displayed a wide range in the ...

Ruth E. Comer; Martin J. Best

2012-12-01T23:59:59.000Z

405

The Effect of War and Its Aftermath on Land Use and Land Cover in Jinotega, Nicaragua  

E-Print Network (OSTI)

Return Outcomes in Bosnia- Herzegovina a Decade Beyond War.Agricultural Land in Bosnia-Herzegovina After the 1992-1995was seen after the Bosnia-Herzegovina war when the war left

Zeledon, Esther Beatriz

2010-01-01T23:59:59.000Z

406

Compact Totally Disconnected Moufang Buildings  

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

407

Total Imports of Residual Fuel  

Annual Energy Outlook 2012 (EIA)

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

408

EA-1927: PGDP EA for Potential Land and Facility Transfers |...  

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

7: PGDP EA for Potential Land and Facility Transfers EA-1927: PGDP EA for Potential Land and Facility Transfers SUMMARY DOE's PortsmouthPaducah Project Office is preparing an EA...

409

Audit of Proposal to Acquire Land at the Fernald Environmental...  

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

Proposal to Acquire Land at the Fernald Environmental Management Project, ER-B-97-03 Audit of Proposal to Acquire Land at the Fernald Environmental Management Project, ER-B-97-03...

410

Collection 4 MODIS Land Product Subsets will be decommissioned...  

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

4 MODIS Land Product Subsets will be decommissioned on January 31, 2009 The ORNL NASA DAAC will discontinue the distribution of Collection 4 MODIS Land Product Subsets on January...

411

Modeled Impact of Anthropogenic Land Cover Change on Climate  

Science Conference Proceedings (OSTI)

Equilibrium experiments with the Geophysical Fluid Dynamics Laboratorys climate model are used to investigate the impact of anthropogenic land cover change on climate. Regions of altered land cover include large portions of Europe, India, ...

Kirsten L. Findell; Elena Shevliakova; P. C. D. Milly; Ronald J. Stouffer

2007-07-01T23:59:59.000Z

412

EA-1332: Leasing Land for the Siting, Construction and Operation...  

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

2: Leasing Land for the Siting, Construction and Operation of a Commercial AM Radio Antenna at Los Alamos National Laboratory, Los Alamos, New Mexico EA-1332: Leasing Land for the...

413

An interactive land use VRML application (ILUVA) with servlet assist  

Science Conference Proceedings (OSTI)

We summarize progress achieved on an interactive land use VRML application (ILUVA) with servlet assist. The purpose of this application is to enable one to take a virtual land area and add buildings, roadways, landscaping and other features. The application ...

Lee A. Belfore, II; Suresh Chitithoti

2000-12-01T23:59:59.000Z

414

An Evaluation of the Strength of LandAtmosphere Coupling  

Science Conference Proceedings (OSTI)

Two ensembles of 1-month integrations of a coupled landatmosphere climate model that differ only in their treatment of land surface boundary conditions have been generated from initial conditions chosen from the July states taken from each year ...

Paul A. Dirmeyer

2001-08-01T23:59:59.000Z

415

111th Congressional Districts and Land Area | Data.gov  

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

Land Area Law DataTools Law You are here Data.gov Communities Law Data 111th Congressional Districts and Land Area Dataset Summary Description This dataset contains a...

416

LandAtmosphere Coupling Strength in the Global Forecast System  

Science Conference Proceedings (OSTI)

The operational coupled landatmosphere forecast model from the National Centers for Environmental Prediction (NCEP) is evaluated for the strength and characteristics of its coupling in the water cycle between land and atmosphere. Following the ...

Li Zhang; Paul A. Dirmeyer; Jiangfeng Wei; Zhichang Guo; Cheng-Hsuan Lu

2011-02-01T23:59:59.000Z

417

Adaptive Multilevel Modeling of Land-Atmosphere Interactions  

Science Conference Proceedings (OSTI)

Adaptive multilevel methods allow full coupling of atmospheric and land surface hydrological models by preserving consistency between the large-scale (atmospheric) and the regional (land) components. The methodology was investigated for three ...

Ana Paula Barros

1995-09-01T23:59:59.000Z

418

Soil Carbon Sequestration and Land-Use Change: Processes and...  

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

Sequestration and Land-Use Change Soil Carbon Sequestration and Land-Use Change: Processes and Potential PDF file Full text Global Change Biology 6:317-327 (2000) Wilfred M. Post...

419

Gas Mileage of 2014 Vehicles by Land Rover  

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

19 Highway 2014 Land Rover Range Rover FFV 8 cyl, 5.0 L, Automatic (S8), Premium Gas or E85 Compare 2014 Land Rover Range Rover FFV Prem 14 City 16 Combined 19 Highway E85 9 City...

420

Precipitation, Recycling, and Land Memory: An Integrated Analysis  

Science Conference Proceedings (OSTI)

A synthesis of several approaches to quantifying landatmosphere interactions is presented. These approaches use data from observations or atmospheric reanalyses applied to atmospheric tracer models and stand-alone land surface schemes. None of ...

Paul A. Dirmeyer; C. Adam Schlosser; Kaye L. Brubaker

2009-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "total windy land" 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

Large Diameter 718 Ingots for Land-Based Gas Turbines  

Science Conference Proceedings (OSTI)

h'ew high efficiency land based gas turbines made by General Electric ... Materials used for turbine rotors in land-based gas turbines have typically been CrMoV...

422

Interannual Variability of Land-Atmosphere Coupling Strength  

Science Conference Proceedings (OSTI)

Recent studies in the Global Land-Atmosphere Coupling Experiment (GLACE) established a framework to estimate the extent to which anomalies in the land surface state (e.g., soil moisture) can affect rainfall generation and other atmospheric ...

Zhichang Guo; Paul A. Dirmeyer

423

Conditions and effectiveness of land use as a mobility tool  

E-Print Network (OSTI)

This dissertation examines the potential of land use as a mobility tool to affect travel, a subject of long and ongoing policy debate. Land use strategies such as densification, mixed-use development, and non-driving-oriented ...

Zhang, Ming, 1963 Apr. 22-

2002-01-01T23:59:59.000Z

424

Sales of Fossil Fuels Produced from Federal and Indian Lands...  

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

Sales of Fossil Fuels Produced from Federal and Indian Lands, FY 2003 through FY 2011 Sales of Fossil Fuels Produced from Federal and Indian Lands, FY 2003 through FY 2011 This...

425

Climate Drift in a Coupled LandAtmosphere Model  

Science Conference Proceedings (OSTI)

A coupled landatmosphere climate model is examined for evidence of climate drift in the land surface state variable of soil moisture. The drift is characterized as pathological error growth in two different ways. First is the systematic error ...

Paul A. Dirmeyer

2001-02-01T23:59:59.000Z

426

Optimally Merging Precipitation to Minimize Land Surface Modeling Errors  

Science Conference Proceedings (OSTI)

This paper introduces a new method to improve land surface model skill by merging different available precipitation datasets, given that an accurate land surface parameter ground truth is available. Precipitation datasets are merged with the ...

M. Tugrul Yilmaz; Paul Houser; Roshan Shrestha; Valentine G. Anantharaj

2010-03-01T23:59:59.000Z

427

Evaluating Error Propagation in Coupled LandAtmosphere Models  

Science Conference Proceedings (OSTI)

This study examines how land-use errors from the Land Transformation Model (LTM) propagate through to climate as simulated by the Regional Atmospheric Model System (RAMS). The authors conducted five simulations of regional climate over East Africa:...

Bryan Pijanowski; Nathan Moore; Dasaraden Mauree; Dev Niyogi

2011-10-01T23:59:59.000Z

428

File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf | Open Energy  

Open Energy Info (EERE)

CAAStateLandLeasingProcessAndLandAccessROWs.pdf CAAStateLandLeasingProcessAndLandAccessROWs.pdf Jump to: navigation, search File File history File usage File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 75 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:03, 29 November 2012 Thumbnail for version as of 16:03, 29 November 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) 12:06, 12 September 2012 Thumbnail for version as of 12:06, 12 September 2012 1,275 × 1,650 (82 KB) Djenne (Talk | contribs) 15:45, 26 June 2012 Thumbnail for version as of 15:45, 26 June 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) June 26th version

429

Sustainable Land Management Through Market-Oriented Commodity...  

Open Energy Info (EERE)

Livestock Research Institute Sector: Land Focus Area: Agriculture Topics: Market analysis, Background analysis Resource Type: Publications, Lessons learnedbest practices...

430

Stable water isotope simulation by current land-surface schemes:Results of IPILPS phase 1  

DOE Green Energy (OSTI)

Phase 1 of isotopes in the Project for Intercomparison of Land-surface Parameterization Schemes (iPILPS) compares the simulation of two stable water isotopologues ({sup 1}H{sub 2} {sup 18}O and {sup 1}H{sup 2}H{sup 16}O) at the land-atmosphere interface. The simulations are off-line, with forcing from an isotopically enabled regional model for three locations selected to offer contrasting climates and ecotypes: an evergreen tropical forest, a sclerophyll eucalypt forest and a mixed deciduous wood. Here we report on the experimental framework, the quality control undertaken on the simulation results and the method of intercomparisons employed. The small number of available isotopically-enabled land-surface schemes (ILSSs) limits the drawing of strong conclusions but, despite this, there is shown to be benefit in undertaking this type of isotopic intercomparison. Although validation of isotopic simulations at the land surface must await more, and much more complete, observational campaigns, we find that the empirically-based Craig-Gordon parameterization (of isotopic fractionation during evaporation) gives adequately realistic isotopic simulations when incorporated in a wide range of land-surface codes. By introducing two new tools for understanding isotopic variability from the land surface, the Isotope Transfer Function and the iPILPS plot, we show that different hydrological parameterizations cause very different isotopic responses. We show that ILSS-simulated isotopic equilibrium is independent of the total water and energy budget (with respect to both equilibration time and state), but interestingly the partitioning of available energy and water is a function of the models' complexity.

Henderson-Sellers, A.; Fischer, M.; Aleinov, I.; McGuffie, K.; Riley, W.J.; Schmidt, G.A.; Sturm, K.; Yoshimura, K.; Irannejad, P.

2005-10-31T23:59:59.000Z

431

Using landing pages for sponsored search ad selection  

Science Conference Proceedings (OSTI)

We explore the use of the landing page content in sponsored search ad selection. Specifically, we compare the use of the ad's intrinsic content to augmenting the ad with the whole, or parts, of the landing page. We explore two types of extractive summarization ... Keywords: compositional semantics, extractive summarization, landing pages, sponsored search

Yejin Choi; Marcus Fontoura; Evgeniy Gabrilovich; Vanja Josifovski; Mauricio Mediano; Bo Pang

2010-04-01T23:59:59.000Z

432

Regional Energy and Water Cycles: Transports from Ocean to Land  

Science Conference Proceedings (OSTI)

The flows of energy and water from ocean to land are examined in the context of the land energy and water budgets, for land as a whole and for continents. Most atmospheric reanalyses have large errors of up to 15 W m?2 in the top-of-atmosphere (...

Kevin E. Trenberth; John T. Fasullo

2013-10-01T23:59:59.000Z

433

Bioenergy and land-use competition in Northeast Brazil  

E-Print Network (OSTI)

Bioenergy and land-use competition in Northeast Brazil Christian Azar Department of Physical of Brazil on "good" versus "bad" lands is investigated. It is shown that the value of the higher yields) lands. The focus of the analysis is on the Northeast of Brazil (NE), where the prospects for dedicated

434

Regional energy and water cycles: Transports from ocean to land  

Science Conference Proceedings (OSTI)

The flows of energy and water from ocean to land are examined in the context of the land energy and water budgets, for land as a whole and for continents. Most atmospheric reanalyses have large errors of up to 15 W m-2 in the top-of-atmosphere (...

Kevin E. Trenberth; John T. Fasullo

435

Summer-Season Forecast Experiments with the NCEP Climate Forecast System Using Different Land Models and Different Initial Land States  

Science Conference Proceedings (OSTI)

To examine the impact from land model upgrades and different land initializations on the National Centers for Environmental Prediction (NCEP)s Climate Forecast System (CFS), extensive T126 CFS experiments are carried out for 25 summers with 10 ...

Rongqian Yang; Kenneth Mitchell; Jesse Meng; Michael Ek

2011-05-01T23:59:59.000Z

436

Climate Impacts of Land-Cover and Land-Use Changes in Tropical Islands under Conditions of Global Climate Change  

Science Conference Proceedings (OSTI)

Land-cover and land-use (LCLU) changes have significant climate impacts in tropical coastal regions with the added complexity of occurring within the context of a warming climate. The individual and combined effects of these two factors in ...

Daniel E. Comarazamy; Jorge E. Gonzlez; Jeffrey C. Luvall; Douglas L. Rickman; Robert D. Bornstein

2013-03-01T23:59:59.000Z

437

The Land Surface Climatology of the NCAR Land Surface Model Coupled to the NCAR Community Climate Model  

Science Conference Proceedings (OSTI)

The National Center for Atmospheric Research (NCAR) Land Surface Model (LSM, version 1.0) provides a comprehensive treatment of land surface processes for the NCAR Community Climate Model version 3 (CCM3). It replaces the prescribed surface ...

Gordon B. Bonan

1998-06-01T23:59:59.000Z

438

Prototyping a Generic, Unified Land Surface Classification and Screening Methodology for GPM-Era Microwave Land Precipitation Retrieval Algorithms  

Science Conference Proceedings (OSTI)

A prototype generic, unified land surface classification and screening methodology for Global Precipitation Measurement (GPM)-era microwave land precipitation retrieval algorithms by using ancillary datasets is developed. As an alternative to the ...

Arief Sudradjat; Nai-Yu Wang; Kaushik Gopalan; Ralph R. Ferraro

2011-06-01T23:59:59.000Z

439

Global Modeling of Land Water and Energy Balances. Part II: Land-Characteristic Contributions to Spatial Variability  

Science Conference Proceedings (OSTI)

Land water and energy balances vary around the globe because of variations in amount and temporal distribution of water and energy supplies and because of variations in land characteristics. The former control (water and energy supplies) explains ...

P. C. D. Milly; A. B. Shmakin

2002-06-01T23:59:59.000Z

440

Buildings","Total  

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

L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",61707,58693,49779,6496,37150,3058,5343,1913 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6750,5836,4878,757,3838,231,109,162 "5,001 to 10,000 ..............",7940,7166,5369,1044,4073,288,160,109 "10,001 to 25,000 .............",10534,9773,7783,1312,5712,358,633,232

Note: This page contains sample records for the topic "total windy land" 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

Buildings","Total  

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

L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",64783,62060,51342,5556,37918,4004,4950,2403 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,6038,4826,678,3932,206,76,124 "5,001 to 10,000 ..............",6585,6090,4974,739,3829,192,238,248 "10,001 to 25,000 .............",11535,11229,8618,1197,6525,454,506,289

442

Performance Period Total Fee Paid  

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

Period Period Total Fee Paid 4/29/2012 - 9/30/2012 $418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014 $0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016 $0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period: $116,769,139 November 2011 - September 2016 $475,395 $0 Fee Information Total Estimated Contract Cost $1,141,623 $1,140,948 $1,140,948 $5,039,862 $1,140,948 Maximum Fee $5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

443

Buildings","Total  

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

L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings*",54068,51570,45773,6746,34910,1161,3725,779 "Building Floorspace" "(Square Feet)" "1,001 to 5,000",6272,5718,4824,986,3767,50,22,54 "5,001 to 10,000",7299,6667,5728,1240,4341,61,169,45 "10,001 to 25,000",10829,10350,8544,1495,6442,154,553,"Q"

444

ARM - Measurement - Total cloud water  

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

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

445

Characteristics of Drought and Persistent Wet Spells over the United States in the AtmosphereLandOcean Coupled Model Experiments  

Science Conference Proceedings (OSTI)

Atmospherelandocean coupled model simulations are examined to diagnose the ability of models to simulate drought and persistent wet spells over the United States. A total of seven models are selected for this study. They are three versions of ...

Kingtse C. Mo; Lindsey N. Long; Jae-Kyung E. Schemm

2012-09-01T23:59:59.000Z

446

Land Use Assessment Toolkit | Open Energy Information  

Open Energy Info (EERE)

Land Use Assessment Toolkit Land Use Assessment Toolkit Jump to: navigation, search Stage 3 LEDS Home Introduction to Framework Assess current country plans, policies, practices, and capacities Develop_BAU Stage 4: Prioritizing and Planning for Actions Begin execution of implementation plans 1.0. Organizing the LEDS Process 1.1. Institutional Structure for LEDS 1.2. Workplan to Develop the LEDS 1.3. Roles and responsibilities to develop LEDS 2.1. Assess current country plans, policies, practices, and capacities 2.2. Compile lessons learned and good practices from ongoing and previous sustainable development efforts in the country 2.3. Assess public and private sector capacity to support initiatives 2.4. Assess and improve the national GHG inventory and other economic and resource data as needed for LEDS development

447

Impacts of Land-use Changes on Biofuels ORNL History of Exploring Changes in Land Use in the United States  

E-Print Network (OSTI)

Impacts of Land-use Changes on Biofuels ORNL History of Exploring Changes in Land Use in the United. Building from their work on environmental costs and benefits associated with biofuel production, ORNL positively impact the sustainability of the biofuels industry. Building understanding of land-use change from

448

Seaport Land-Side Equipment Electrification Opportunities  

Science Conference Proceedings (OSTI)

The air quality problems associated at the Ports, have become a widely discussed issue facing cargo handling in recent years. While growth is necessary for economic health, the pollution emitted is growing as well. This study gives an overview of the many aspects of the port that can be considered for electrification. The emphasis of the work is a complete review of the land side equipment. Primary equipment includes: terminal tractors, forklifts, top loaders, empty container handlers, non-road vehicles,...

2006-01-24T23:59:59.000Z

449

Compact Neutron Generators for Medical Home Land Security and Planetary Exploration  

E-Print Network (OSTI)

GENERATORS FOR MEDICAL, HOME LAND SECURITY AND PLANETARYdetection schemes, from home-land security applications[4-6

Reijonen, J.

2005-01-01T23:59:59.000Z

450

U.S. Landed Costs of Nigerian Bonny Light Crude Oil (Dollars ...  

U.S. Energy Information Administration (EIA)

Referring Pages: Landed Costs of Imported Crude for Selected Crude Streams; Landed Costs of Imported Crude for Selected Crude Streams

451

U.S. Landed Costs of Canadian Bow River Heavy Crude Oil ...  

U.S. Energy Information Administration (EIA)

Referring Pages: Landed Costs of Imported Crude for Selected Crude Streams; Landed Costs of Imported Crude for Selected Crude Streams

452

Costs of Land Subsidence Due to Groundwater Withdrawal  

E-Print Network (OSTI)

In recent years the area around Houston and Baytown, Texas, has been affected to an increasing degree by land subsidence. Sinking of the land surface has reached critical proportions in many areas, and subsidence of as much as eight feet has occurred. The severity of this phenomenon has been aggravated by the proximity of much of the affected area to bay waters, and tidal flooding has resulted in significant damages and property loss. Subsidence has been linked by engineers to the decline of subsurface water levels due to heavy ground water withdrawals in the area. An alternative source for water demands has been introduced, although price differentials have slowed its acceptance. Major objectives of this study included estimation of historical costs attributable to subsidence, projecting estimated costs, and examining the economics of the two alternatives for water supply. A study area of 300 square miles was identified and sampling of residences, businesses, and public officials was carried out. The cost data resulting from those samples formed the basis for economic analysis. Historical costs and property losses that were attributable to subsidence were estimated to be $60.7 million and $48.9 million, respectively, or $109.6 million total. Of the $109.6 million, $53.2 million were incurred in 1973, principally due to a six foot tide. Probability of the occurrence of a six foot tide in any one year is 20 percent. Given five additional feet of subsidence in the study area the occurrence of a six foot tide was projected to cause an estimated $63,5 million in costs and losses, $10.3 million more than were incurred in 1973. Estimated annual subsidence-related costs and losses of $14.6 million for the study area, based on 1969 to 1973 data, were used to evaluate total costs associated with supplying water needs from two alternative sources, A break-even analysis indicated that to minimize total water costs, pumping only that quantity of water that would result in no subsidence could be economically justified; i,e,, water needs or demand above that rate would need to be purchased from an alternative source. This implied that when pumping is continued to the point that subsidence occurs, the cost of pumping plus associated subsidence- related costs and losses exceed water costs from an alternative source, per unit of water.

Warren, J. P.; Jones, L. L.; Griffin, W. L.; Lacewell, R. D.

1974-07-01T23:59:59.000Z

453

Outer Continental Shelf Lands Act | Open Energy Information  

Open Energy Info (EERE)

Outer Continental Shelf Lands Act Outer Continental Shelf Lands Act Jump to: navigation, search Statute Name Outer Continental Shelf Lands Act Year 1953 Url [[File:|160px|link=]] Description References Outer Continental Shelf Lands Act pdf[1] This article is a stub. You can help OpenEI by expanding it. Enacted in 1953, the Outer Continental Lands Act provides for the jurisdiction of the United States over the submerged lands of the outer Continental Shelf, and authorizes the Secretary of the Interior to lease such lands for certain purposes. "It is hereby declared to be the policy of the United States that- (1) the subsoil and seabed of the outer Continental Shelf appertain to the United States and are subject to its jurisdiction, control, and power of disposition as provided in this Act..."

454

ARM - Evaluation Product - Critical soil quantities for describing land  

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

ProductsCritical soil quantities for describing land ProductsCritical soil quantities for describing land properties Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Critical soil quantities for describing land properties 1994.01.01 - 2012.12.31 Site(s) SGP General Description The ARMBELAND is a subset of the ARM Best Estimate (ARMBE) products for supporting community land-atmospheric research and land model developments. It contains several critical soil quantities that ARM has been measuring for many years for describing land properties. The quantities in ARMBE-Land are averaged over one hour time interval, consistent with other ARMBE datasets. It is recommended to use with other ARMBE data products such as ARMBECLDRAD (cloud and radiative fluxes) and ARMBEATM (surface

455

Land and Facility Use Policy | Department of Energy  

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

Land and Facility Use Policy Land and Facility Use Policy Land and Facility Use Policy It is Department of Energy policy to manage all of its land and facilities as valuable national resources. Our stewardship will be based on the principles of ecosystem management and sustainable development. We will integrate mission, economic. ecologic, social and cultural factors in a comprehensive plan for each site that will guide land and facility use decisions. Each comprehensive plan will consider the site's larger regional context and be developed with stakeholder participation. This policy will result in land and facility uses which support the Department's critical missions. stimulate the economy, and protect the environment. Land and Facility Use Policy More Documents & Publications

456

Beijing Ideal land Technology Development Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Beijing Ideal land Technology Development Co Ltd Beijing Ideal land Technology Development Co Ltd Jump to: navigation, search Name Beijing Ideal-land Technology Development Co Ltd Place China Sector Biofuels Product Biofuels ( Private / family-controlled ) References Beijing Ideal-land Technology Development Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Beijing Ideal-land Technology Development Co Ltd is a company located in China . References ↑ "Beijing Ideal-land Technology Development Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Beijing_Ideal_land_Technology_Development_Co_Ltd&oldid=342614" Categories: Clean Energy Organizations Companies Organizations Stubs

457

Oil and Gas on Public Lands (Texas) | Department of Energy  

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

on Public Lands (Texas) on Public Lands (Texas) Oil and Gas on Public Lands (Texas) < Back Eligibility Utility Fed. Government Commercial Investor-Owned Utility Industrial Construction Municipal/Public Utility Local Government Rural Electric Cooperative Tribal Government Program Info State Texas Program Type Siting and Permitting Provider Texas General Land Office The School Land Board may choose to lease lands for the production of oil and natural gas, on the condition that oil and gas resources are leased together and separate from other minerals. Lands that may be leased include: (1) islands, saltwater lakes, bays, inlets, marshes, and reefs owned by the state within tidewater limits; (2) the portion of the Gulf of Mexico within the jurisdiction of the state; (3) all unsold surveyed and

458

Minerals on Public Lands (Texas) | Department of Energy  

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

Minerals on Public Lands (Texas) Minerals on Public Lands (Texas) Minerals on Public Lands (Texas) < Back Eligibility Utility Fed. Government Commercial Investor-Owned Utility Industrial Construction Municipal/Public Utility Local Government Rural Electric Cooperative Tribal Government Program Info State Texas Program Type Siting and Permitting Provider Texas General Land Office Any tract of land that belongs to the state, including islands, salt and freshwater lakes, bays, inlets, marshes, and reefs owned by the state within tidewater limits, the part of the Gulf of Mexico within the state's jurisdiction, unsold surveyed public school land, rivers and channels that belong to the state, and land sold with a reservation of minerals to the state are subject to prospect by any person for those minerals which are

459

Mozambique-Biofuels, Land Access and Rural Livelihoods | Open Energy  

Open Energy Info (EERE)

Biofuels, Land Access and Rural Livelihoods Biofuels, Land Access and Rural Livelihoods Jump to: navigation, search Name Mozambique-Biofuels, Land Access and Rural Livelihoods Agency/Company /Organization International Institute for Environment and Development Sector Energy, Land Focus Area Biomass, - Biofuels, Forestry, Agriculture Topics Implementation, Co-benefits assessment, - Energy Access, Resource assessment, Background analysis Resource Type Publications, Case studies/examples Website http://www.iied.org/pubs/pdfs/ Country Mozambique UN Region Eastern Africa References Mozambique-Biofuels, Land Access and Rural Livelihoods[1] Mozambique-Biofuels, Land Access and Rural Livelihoods Screenshot Background "This report documents how the spread of biofuels is affecting land access for poorer groups in Mozambique, and what actions are being taken,

460

Alternative Fuels Data Center: Biofuels Production Land Use Allowance and  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Biofuels Production Biofuels Production Land Use Allowance and Exemption to someone by E-mail Share Alternative Fuels Data Center: Biofuels Production Land Use Allowance and Exemption on Facebook Tweet about Alternative Fuels Data Center: Biofuels Production Land Use Allowance and Exemption on Twitter Bookmark Alternative Fuels Data Center: Biofuels Production Land Use Allowance and Exemption on Google Bookmark Alternative Fuels Data Center: Biofuels Production Land Use Allowance and Exemption on Delicious Rank Alternative Fuels Data Center: Biofuels Production Land Use Allowance and Exemption on Digg Find More places to share Alternative Fuels Data Center: Biofuels Production Land Use Allowance and Exemption on AddThis.com... More in this section... Federal State Advanced Search

Note: This page contains sample records for the topic "total windy land" 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

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

462

Total Adjusted Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

463

Solar total energy project Shenandoah  

DOE Green Energy (OSTI)

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

None

1980-01-10T23:59:59.000Z

464

Total Ecosystem Approach to Terrestrial Carbon Sequestration  

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

7RWDO(FRV\VWHP$SSURDFKWR 7RWDO(FRV\VWHP$SSURDFKWR 7HUUHVWULDO&DUERQ 6HTXHVWUDWLRQ Coal Industry Perspective November 6, 2001 685)$&(0,1,1* * Surface mining is the preferred mining method - Cheaper - Employees are above ground - More coal is recovered - Less preparation (washing) required * Prior to 1977 overburden (soil) was left loose (uncompacted) - Many disturbed areas have supported growth of new forest with growth rates greater than adjacent undisturbed lands 685)$&(0,1($&72) * Act Required Mine Operators to take steps to reclaim mined lands. - Post Reclamation Bond - Return Land to Approximate Original Contour * Mining Companies routinely made the surface smooth by making multiple passes over the surface compacting soils 5(&/$,0('0,1(/$1'327(17,$/

465

An economic analysis of land use alternatives on CRP land trees after the CRP contracts expire in east Texas  

E-Print Network (OSTI)

Landowners who have planted trees on CRP land must decide whether to retain the trees or divert land to others uses after the contracts expire. An economic tool is developed to assist landowners in making the most profitable choice between retaining trees to produce sawlogs or pulpwood and reverting land to crops, corn, cotton, sorghum and wheat. A generic theoretical framework is formulated to compare various land use alternatives. Several scenarios are formulated to incorporate the changing patterns of variables and to examine the sensitivity of the outcome to these changes. The influence of implementing the conservation compliance plan (CCP) is also examined. The time frame of the analysis is determined by the financially optimal. single rotation length of the tree stand. The real discounted revenues of the land use alternatives, based in 1993, are compared on a per-acre basis. The results indicate that retaining trees on post-CRP land is a better option than reverting land to corn, cotton without a CCP, sorghum, or wheat under all scenarios. However, when compared with reverting land to cotton with a CCP, retaining trees does not seem to be a profitable land use alternative under several of the scenarios. Given that a large proportion of the land going into CRP in east Texas is wheat acres, it seems likely that majority of the CRP land in trees is going to be retained in trees upon expiration of contracts.

Arekere, Marigowda Dhananjaya

1996-01-01T23:59:59.000Z

466

Research priorities in land use and land-cover change for the Earth system and integrated assessment modelling  

SciTech Connect

This special issue has highlighted recent and innovative methods and results that integrate observations and AQ3 modelling analyses of regional to global aspect of biophysical and biogeochemical interactions of land-cover change with the climate system. Both the Earth System and the Integrated Assessment modeling communities recognize the importance of an accurate representation of land use and land-cover change to understand and quantify the interactions and feedbacks with the climate and socio-economic systems, respectively. To date, cooperation between these communities has been limited. Based on common interests, this work discusses research priorities in representing land use and land-cover change for improved collaboration across modelling, observing and measurement communities. Major research topics in land use and land-cover change are those that help us better understand (1) the interaction of land use and land cover with the climate system (e.g. carbon cycle feedbacks), (2) the provision of goods and ecosystem services by terrestrial (natural and anthropogenic) land-cover types (e.g. food production), (3) land use and management decisions and (4) opportunities and limitations for managing climate change (for both mitigation and adaptation strategies).

Hibbard, Kathleen A.; Janetos, Anthony C.; Van Vuuren, Detlef; Pongratz, Julia; Rose, Steven K.; Betts, Richard; Herold, Martin; Feddema, Johannes J.

2010-11-15T23:59:59.000Z

467

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

468

Total quality management implementation guidelines  

SciTech Connect

These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

Not Available

1993-12-01T23:59:59.000Z

469

Relating United States crop land use to natural resources and climate change  

Science Conference Proceedings (OSTI)

Crop production depends not only on the yield but also on the area harvested. The yield response to climate change has been widely examined, but the sensitivity of crop land use to hypothetical climate change has not been examined directly. Crop land-use regression models for estimating crop area indices (CAIs)-the percent of land used for corn, soybean, wheat, and sorghum production-are presented. Inputs to the models include available water-holding capacity of the soil, percent of land available for rain-fed agricultural production, annual precipitation, and annual temperature. The total variance of CAI explained by the models ranged from 78% from wheat to 87% for sorghum, and the root-mean-square errors ranged from 1.74% for sorghum to 4.24% for corn. The introduction of additional climatic variables to the models did not significantly improve their performance. The crop land-use models were used to predict the CAI for every crop reporting district in the United States for the current climatic condition and for possible future climate change scenarios (various combinations of temperature and precipitation changes over a range of -3{degrees} to +6{degrees}C and -20% to +20% respectively). The magnitude of climatic warming suggested by GCMs (GISS and GFDL) is from 3.5{degrees} to 5.9{degrees}C for regions of the United States. For this magnitude of warming, the model suggests corn and soybean production areas may decline while wheat and sorghum production areas may expand. If the warming is accompanied by a decrease in annual precipitation from 1% to 10%, then the areas used for corn and soybean production could decrease by as much as 20% and 40%, respectively. The area for sorghum and wheat under these conditions would increase by as much as 80% and 70%, respectively; the exact amount depending strongly on the change in precipitation. 15 refs., 6 figs.

Flores-Mendoza, F.J.; Hubbard, K.G. [Univ. of Nebraska, Lincoln, NE (United States)

1995-02-01T23:59:59.000Z

470

H2A Delivery: GH2 and LH2 Forecourt Land Areas  

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

GH2 and LH2 Forecourt GH2 and LH2 Forecourt GH2 and LH2 Forecourt Land Areas Land Areas Hydrogen Delivery Analysis Meeting May 8-9, 2007 Columbia, Maryland TIAX LLC Matthew Hooks 1601 S. D Anza Blvd. hooks.matthew@TIAXLLC.com Cupertino CA, 95014 Tel. 408-517-1550 Reference: D0348 © 2007 TIAX LLC General Assumptions ƒ Forecourt stations with fewer than 6 hydrogen dispensers will have both hydrogen and gasoline dispensers on-site (6 total) ƒ Forecourt area (not including convenience store) will be allocated based on relative number of hydrogen/gasoline dispensers ƒ All stations with more than 6 hydrogen dispensers will only dispense hydrogen ƒ 100% of forecourt area (not including convenience store) will be allocated to hydrogen delivery ƒ Area allocated to hydrogen storage will be in excess of the

471

Natural Gas Total Liquids Extracted  

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

Thousand Barrels) Thousand Barrels) Data Series: Natural Gas Processed Total Liquids Extracted NGPL Production, Gaseous Equivalent Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 658,291 673,677 720,612 749,095 792,481 873,563 1983-2012 Alabama 13,381 11,753 11,667 13,065 1983-2010 Alaska 22,419 20,779 19,542 17,798 18,314 18,339 1983-2012 Arkansas 126 103 125 160 212 336 1983-2012 California 11,388 11,179 11,042 10,400 9,831 9,923 1983-2012 Colorado 27,447 37,804 47,705 57,924 1983-2010 Florida 103 16 1983-2008 Illinois 38 33 24 231 705 0 1983-2012

472

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. Total 5,752 5,180 7,707 9,056 6,880 6,008 1936-2013 PAD District 1 1,677 1,689 2,008 3,074 2,135 2,814 1981-2013 Connecticut 1995-2009 Delaware 1995-2012 Florida 359 410 439 392 704 824 1995-2013 Georgia 324 354 434 364 298 391 1995-2013 Maine 65 1995-2013 Maryland 1995-2013 Massachusetts 1995-2012 New Hampshire 1995-2010 New Jersey 903 756 948 1,148 1,008 1,206 1995-2013 New York 21 15 14 771 8 180 1995-2013 North Carolina 1995-2011 Pennsylvania 1995-2013 Rhode Island 1995-2013 South Carolina 150 137 194 209 1995-2013 Vermont 5 4 4 5 4 4 1995-2013 Virginia 32 200 113 1995-2013 PAD District 2 217 183 235 207 247 179 1981-2013 Illinois 1995-2013

473

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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

474

A Correction for Land Contamination of Atmospheric Variables near LandSea Boundaries  

Science Conference Proceedings (OSTI)

Ocean models need over-ocean atmospheric forcing. However, such forcing is not necessarily provided near the landsea boundary because 1) the atmospheric model grid used for forcing is frequently much coarser than the ocean model grid, and 2) ...

A. Birol Kara; Alan J. Wallcraft; Harley E. Hurlburt

2007-04-01T23:59:59.000Z

475

Land Application of Coal Combustion By-Products: Use in Agriculture and Land Reclamation  

Science Conference Proceedings (OSTI)

Land application of coal combustion by-products (CCBP) can prove beneficial for a number of reasons. The data presented in this survey provide a basis for optimizing the rates and timing of CCBP applications, selecting proper target soils and crops, and minimizing adverse effects on soil properties, plant responses, and groundwater quality.

1997-01-30T23:59:59.000Z

476

Subsetting Tools Available for New MODIS Land Products (Collection 5)  

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

Subsetting Tools Available for New MODIS Land Products (Collection 5) Subsetting Tools Available for New MODIS Land Products (Collection 5) The ORNL DAAC announces two tools for subsetting land products from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors onboard the Terra and Aqua satellites. The first tool allows users to obtain MODIS land products for 1,052 selected sites worldwide in ASCII format (7 x 7 km) and in GeoTIFF format (25 x 25 km). To access this tool see http://daac.ornl.gov/modisfixedsite. The global subsetting tool creates MODIS land product subsets for user-selected areas worldwide from one pixel up to 201 x 201 km area and for a user-selected time period during the MODIS record. To access this tool, please see http://daac.ornl.gov/modisglobal. Both tools subset the following MODIS Land Products:

477

Pennsylvania Farmland and Forest Land Assessment Act of 1974 - Utilization  

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

Pennsylvania Farmland and Forest Land Assessment Act of 1974 - Pennsylvania Farmland and Forest Land Assessment Act of 1974 - Utilization of Land or Conveyance of Rights for Exploration or Extraction of Gas, Oil or Coal Bed Methane Pennsylvania Farmland and Forest Land Assessment Act of 1974 - Utilization of Land or Conveyance of Rights for Exploration or Extraction of Gas, Oil or Coal Bed Methane < Back Eligibility Utility Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Rural Electric Cooperative Transportation Program Info Start Date 2011 State Pennsylvania Program Type Siting and Permitting Provider Pennsylvania Department of Environmental Protection This act prescribes the procedure utilization of land or conveyance of rights for exploration or extraction of gas, oil or coal bed methane in

478

GRR/Section 1 - Land Use Overview | Open Energy Information  

Open Energy Info (EERE)

1 - Land Use Overview 1 - Land Use Overview < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 1 - Land Use Overview 01LandUseOverview.pdf Click to View Fullscreen Contact Agencies Bureau of Land Management U S Army Corps of Engineers United States Environmental Protection Agency Fish and Wildlife Service United States Department of Defense Regulations & Policies Federal Land Policy and Management Act of 1976 Endangered Species Act Clean Water Act Clean Air Act Farmland Protection Policy Act Sikes Act National Historic Preservation Act (NHPA) - specifically, Section 106 Native American Graves Protection Act Archaeological Resource Protection Act Triggers None specified Click "Edit With Form" above to add content

479

Coastal Public Lands Management Act (Texas) | Department of Energy  

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

Coastal Public Lands Management Act (Texas) Coastal Public Lands Management Act (Texas) Coastal Public Lands Management Act (Texas) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility Industrial Construction Municipal/Public Utility Local Government Rural Electric Cooperative Tribal Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Texas Program Type Siting and Permitting Provider Texas General Land Office The coastal public lands of the state are managed in accordance with the following principles: (a) The natural resources of the surface land, including their aesthetic value and their ability to support and nurture all types of marine life and wildlife, shall be preserved. (b) Preference

480

Map Data: Total Production | Department of Energy  

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

Total Production Map Data: Total Production totalprod2009final.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

Note: This page contains sample records for the topic "total windy land" 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

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 222 194 17...

482

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,100...

483

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,928 1,316...

484

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

485

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

486

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

487

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

488

The Foreseer Tool - Analysing Energy, Land and Water Resource...  

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

The Foreseer Tool - Analysing Energy, Land and Water Resource Futures through Sankey Diagrams Speaker(s): Bojana Bajzelj Grant Kopec Julian Allwood Liz Curmi Date: November 10,...

489

Land Reclamation and the Resource Extraction Reclamation Act (Florida)  

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

The Department of Environmental Protection's Mining Program is responsible for enacting and implementing regulations pertaining to land reclamation. The program primarily focuses on the reclamation...

490

Examination of Terminal Land Requirements for Hydrogen Delivery  

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

May 8, 2007 Jerry Gillette Examination of Terminal Land Requirements for Hydrogen Hydrogen Delivery Analysis Meeting Argonne National Laboratory A Variety of Terminal...

491

Hawaii Department of Land and Natural Resources Historic Preservation...  

Open Energy Info (EERE)

Historic Preservation Division Jump to: navigation, search Name Hawaii Department of Land and Natural Resources Historic Preservation Division Address Kakuhihewa Building 601...

492

Resource Management Services: Land Use, Part 505: Coastal Erosion...  

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

5: Coastal Erosion Management (New York) Resource Management Services: Land Use, Part 505: Coastal Erosion Management (New York) Eligibility Agricultural Commercial Construction...

493

Application for State Land Use Lease: Miscellaneous Easement...  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Application for State Land Use Lease: Miscellaneous EasementROW Details Activities (0) Areas (0) Regions...

494

Application for State Land Use Lease: Commercial/Multi-Family...  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Application for State Land Use Lease: CommercialMulti-Family Details Activities (0) Areas (0) Regions (0)...

495

Clean Cities: Land of Enchantment Clean Cities (New Mexico) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

and renewable energy applications and market development. Burcham has a Master of Science in Systems Management from the University of Southern California. Land of Enchantment...

496

Delaware Land Protection Act (Delaware) | Department of Energy  

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

Delaware Land Protection Act (Delaware) Delaware Land Protection Act (Delaware) Delaware Land Protection Act (Delaware) < Back Eligibility Utility Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Municipal/Public Utility Local Government Rural Electric Cooperative Tribal Government Nonprofit Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info Start Date 1990 State Delaware Program Type Environmental Regulations Provider Delaware Department of Natural Resources and Environmental Control The Land Protection Act requires the Department of Natural Resources and Environmental Control to work with the Delaware Open Space Council to develop standards and criteria for determining the existence and location

497

Metropolitan Land Use Planning (Minnesota) | Department of Energy  

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

Land Use Planning (Minnesota) Land Use Planning (Minnesota) Metropolitan Land Use Planning (Minnesota) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Minnesota Program Type Environmental Regulations This statute establishes the Metropolitan Land Use Advisory Committee within the Metropolitan Council to coordinate plans, programs, and controls

498

Management and Use of Public Lands (Virginia) | Department of Energy  

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

Management and Use of Public Lands (Virginia) Management and Use of Public Lands (Virginia) Management and Use of Public Lands (Virginia) < Back Eligibility Commercial Construction Developer Industrial Investor-Owned Utility Local Government Municipal/Public Utility Rural Electric Cooperative Systems Integrator Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Virginia Program Type Leasing Program Siting and Permitting Provider Virginia Department of Conservation and Recreation The Virginia Department of Conservation and Recreation may elect to lease its lands for the development of mineral interests (defined herein as petroleum, natural gas, coal, ore, rock and any other solid chemical

499

Atlantic NAD83 Submerged Lands Act Boundary | Data.gov  

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

NAD83 Submerged Lands Act Boundary Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Data Atlantic...

500

Land use siting considerations for hydrothermal energy facilities  

DOE Green Energy (OSTI)

Hydrothermal resources are described and discussion is focused on some of the land use and social considerations involved in siting hydrothermal power plants. (MHR)

Oakes, K.M.

1980-01-01T23:59:59.000Z